2025-06-05T18:58:23.8693300Z Current runner version: '2.325.0' 2025-06-05T18:58:23.8696440Z Runner name: 'i-0de6700a94211be7e' 2025-06-05T18:58:23.8697000Z Machine name: 'ip-10-0-0-66' 2025-06-05T18:58:23.8698540Z ##[group]GITHUB_TOKEN Permissions 2025-06-05T18:58:23.8699570Z Contents: read 2025-06-05T18:58:23.8699990Z Metadata: read 2025-06-05T18:58:23.8700300Z Packages: read 2025-06-05T18:58:23.8700610Z ##[endgroup] 2025-06-05T18:58:23.8701770Z Secret source: Actions 2025-06-05T18:58:23.8702170Z Prepare workflow directory 2025-06-05T18:58:25.6744280Z Prepare all required actions 2025-06-05T18:58:25.6770630Z Getting action download info 2025-06-05T18:58:25.9287300Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-06-05T18:58:26.2207260Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-06-05T18:58:26.4376400Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2025-06-05T18:58:26.6041080Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-06-05T18:58:26.8824280Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-06-05T18:58:27.1182690Z Complete job name: test-apple-model / macos-job 2025-06-05T18:58:27.1431500Z ##[group]Run echo "::group::Cleanup debug output" 2025-06-05T18:58:27.1431830Z echo "::group::Cleanup debug output" 2025-06-05T18:58:27.1432050Z rm -rfv "${GITHUB_WORKSPACE}" 2025-06-05T18:58:27.1432270Z mkdir -p "${GITHUB_WORKSPACE}" 2025-06-05T18:58:27.1432470Z echo "::endgroup::" 2025-06-05T18:58:27.1456190Z shell: /bin/bash -e {0} 2025-06-05T18:58:27.1456480Z env: 2025-06-05T18:58:27.1456640Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:27.1458650Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:27.1460590Z ##[endgroup] 2025-06-05T18:58:27.1699090Z 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2025-06-05T18:58:29.4197160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme/static/fonts 2025-06-05T18:58:29.4197460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme/static 2025-06-05T18:58:29.4197770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme/search.html 2025-06-05T18:58:29.4198080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme/footer.html 2025-06-05T18:58:29.4198410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme/searchbox.html 2025-06-05T18:58:29.4198690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme 2025-06-05T18:58:29.4198990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/cartpole.gif 2025-06-05T18:58:29.4199280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/mnist.png 2025-06-05T18:58:29.4199670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/char_rnn_generation.png 2025-06-05T18:58:29.4200010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/DistPyTorch.jpg 2025-06-05T18:58:29.4200310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/examples.png 2025-06-05T18:58:29.4200610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/torch-logo.png 2025-06-05T18:58:29.4200930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/seq2seq_flat.png 2025-06-05T18:58:29.4201270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/torch-nn-vs-pytorch-nn.png 2025-06-05T18:58:29.4201590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/data_parallel.png 2025-06-05T18:58:29.4201930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/tensor_illustration_flat.png 2025-06-05T18:58:29.4202280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/babel.jpg 2025-06-05T18:58:29.4202610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/pytorch-logo-flat.png 2025-06-05T18:58:29.4202940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/cifar10.png 2025-06-05T18:58:29.4203240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs/cpp_logo.png 2025-06-05T18:58:29.4203550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static/thumbs 2025-06-05T18:58:29.4203800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/_static 2025-06-05T18:58:29.4270980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/demo/lists_tables.rst 2025-06-05T18:58:29.4271300Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/demo/test_py_module 2025-06-05T18:58:29.4275470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/demo 2025-06-05T18:58:29.4275760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/installing.rst 2025-06-05T18:58:29.4276040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/index.rst 2025-06-05T18:58:29.4276330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/requirements.txt 2025-06-05T18:58:29.4276590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/Makefile 2025-06-05T18:58:29.4276910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/conf.py 2025-06-05T18:58:29.4277200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/configuring.rst 2025-06-05T18:58:29.4277480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/make.bat 2025-06-05T18:58:29.4277760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs/changelog.rst 2025-06-05T18:58:29.4278000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/docs 2025-06-05T18:58:29.4278250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/README.md 2025-06-05T18:58:29.4278500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/yarn.lock 2025-06-05T18:58:29.4278740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/setup.py 2025-06-05T18:58:29.4279000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.gitignore 2025-06-05T18:58:29.4279260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/package.json 2025-06-05T18:58:29.4279530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/CONTRIBUTING.md 2025-06-05T18:58:29.4279770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.nvmrc 2025-06-05T18:58:29.4280040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.gitattributes 2025-06-05T18:58:29.4280350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/pytorch_sphinx_theme.py 2025-06-05T18:58:29.4280610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/setup.cfg 2025-06-05T18:58:29.4280870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/config 2025-06-05T18:58:29.4281280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-ae818386d91643ba5fdd18145a9edf06d7f069dd.idx 2025-06-05T18:58:29.4281690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-cbb4197e4529183a00dcc7bebafccae398eebe88.idx 2025-06-05T18:58:29.4282110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-ae818386d91643ba5fdd18145a9edf06d7f069dd.promisor 2025-06-05T18:58:29.4282620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-ae818386d91643ba5fdd18145a9edf06d7f069dd.pack 2025-06-05T18:58:29.4283050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-cbb4197e4529183a00dcc7bebafccae398eebe88.promisor 2025-06-05T18:58:29.4283460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack/pack-cbb4197e4529183a00dcc7bebafccae398eebe88.pack 2025-06-05T18:58:29.4283740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/pack 2025-06-05T18:58:29.4284010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects/info 2025-06-05T18:58:29.4284270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/objects 2025-06-05T18:58:29.4284520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/HEAD 2025-06-05T18:58:29.4284860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/info/exclude 2025-06-05T18:58:29.4285110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/info 2025-06-05T18:58:29.4285410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/HEAD 2025-06-05T18:58:29.4285700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs/heads/master 2025-06-05T18:58:29.4285970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs/heads 2025-06-05T18:58:29.4286280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:29.4286580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs/remotes/origin 2025-06-05T18:58:29.4286860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs/remotes 2025-06-05T18:58:29.4287120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs/refs 2025-06-05T18:58:29.4287360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/logs 2025-06-05T18:58:29.4287610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/description 2025-06-05T18:58:29.4287910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/commit-msg.sample 2025-06-05T18:58:29.4288210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/pre-rebase.sample 2025-06-05T18:58:29.4288500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/pre-commit.sample 2025-06-05T18:58:29.4288810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/applypatch-msg.sample 2025-06-05T18:58:29.4289130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:29.4289420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/pre-receive.sample 2025-06-05T18:58:29.4289830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/prepare-commit-msg.sample 2025-06-05T18:58:29.4290140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/post-update.sample 2025-06-05T18:58:29.4290510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/pre-merge-commit.sample 2025-06-05T18:58:29.4290830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme/.git/hooks/pre-applypatch.sample 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2025-06-05T18:58:34.5204020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_b/subpackage_0/__init__.py 2025-06-05T18:58:34.5204260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_b/subpackage_0 2025-06-05T18:58:34.5204470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_b 2025-06-05T18:58:34.5204760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_trace_dep/__init__.py 2025-06-05T18:58:34.5205010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_trace_dep 2025-06-05T18:58:34.5205260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_c/test_module.py 2025-06-05T18:58:34.5205490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_c/__init__.py 2025-06-05T18:58:34.5205690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_c 2025-06-05T18:58:34.5205960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/imports_indirectly.py 2025-06-05T18:58:34.5206200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/__init__.py 2025-06-05T18:58:34.5206460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/imports_directly.py 2025-06-05T18:58:34.5206780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/subpackage_0/subsubpackage_0/__init__.py 2025-06-05T18:58:34.5207070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/subpackage_0/subsubpackage_0 2025-06-05T18:58:34.5207340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/subpackage_0/__init__.py 2025-06-05T18:58:34.5207580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d/subpackage_0 2025-06-05T18:58:34.5207810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_d 2025-06-05T18:58:34.5208070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_directory_reader.py 2025-06-05T18:58:34.5208310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_importer.py 2025-06-05T18:58:34.5208530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/__init__.py 2025-06-05T18:58:34.5208760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_glob_group.py 2025-06-05T18:58:34.5209000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_package_script.py 2025-06-05T18:58:34.5209220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_save_load.py 2025-06-05T18:58:34.5209580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_bc/test_torchscript_module.pt 2025-06-05T18:58:34.5209840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_bc/test_nn_module.pt 2025-06-05T18:58:34.5210090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_bc/test_fx_module.pt 2025-06-05T18:58:34.5210300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_bc 2025-06-05T18:58:34.5210530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_repackage.py 2025-06-05T18:58:34.5210730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/common.py 2025-06-05T18:58:34.5211000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/use_dunder_package.py 2025-06-05T18:58:34.5211240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/test_module.py 2025-06-05T18:58:34.5211540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/test_all_leaf_modules_tracer.py 2025-06-05T18:58:34.5211820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/__init__.py 2025-06-05T18:58:34.5212080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/long_name.py 2025-06-05T18:58:34.5212330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/fake_interface.py 2025-06-05T18:58:34.5212600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/fake_script_class.py 2025-06-05T18:58:34.5212890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/use_torch_package_importer.py 2025-06-05T18:58:34.5213160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/std_sys_module_hacks.py 2025-06-05T18:58:34.5216390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/std_sys_module_hacks_3_13.py 2025-06-05T18:58:34.5216660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/test_nn_module.py 2025-06-05T18:58:34.5216910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a/subpackage.py 2025-06-05T18:58:34.5217110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/package_a 2025-06-05T18:58:34.5217340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_package_fx.py 2025-06-05T18:58:34.5217590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_dependency_hooks.py 2025-06-05T18:58:34.5217840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/module_a_remapped_path.py 2025-06-05T18:58:34.5218090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/generate_bc_packages.py 2025-06-05T18:58:34.5218330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_load_bc_packages.py 2025-06-05T18:58:34.5218550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_analyze.py 2025-06-05T18:58:34.5218770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package/test_digraph.py 2025-06-05T18:58:34.5218950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/package 2025-06-05T18:58:34.5219180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/load_torchscript_model.py 2025-06-05T18:58:34.5219500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/test_tensorexpr_pybind.py 2025-06-05T18:58:34.5219710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/test_fx.py 2025-06-05T18:58:34.5219920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/test_numpy_interop.py 2025-06-05T18:58:34.5220260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_nested_nn_squential.expect 2025-06-05T18:58:34.5220570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTorch.test_is_nonzero-multiple.expect 2025-06-05T18:58:34.5220940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseMeta.test_print_meta_SparseBSR_float64.expect 2025-06-05T18:58:34.5221220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_text.expect 2025-06-05T18:58:34.5221560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCUDA.test_print_coalesced_cuda_float64.expect 2025-06-05T18:58:34.5221860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_pytorch_graph.expect 2025-06-05T18:58:34.5222230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_image_without_channel.expect 2025-06-05T18:58:34.5222550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_image_with_boxes.expect 2025-06-05T18:58:34.5222870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_parser_type_annotations.expect 2025-06-05T18:58:34.5223160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_hparams_string.expect 2025-06-05T18:58:34.5223470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_scalar_new_style.expect 2025-06-05T18:58:34.5223770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-if_test.expect 2025-06-05T18:58:34.5224070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-while_test.expect 2025-06-05T18:58:34.5224400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-empty_int_list_test.expect 2025-06-05T18:58:34.5224740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-empty_float_list_test.expect 2025-06-05T18:58:34.5225040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annotated_script_method.expect 2025-06-05T18:58:34.5225340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTorch.test_print-non_contiguous.expect 2025-06-05T18:58:34.5225690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCUDA.test_print_uncoalesced_cuda_float64.expect 2025-06-05T18:58:34.5226150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_image_with_3_channel_batched.expect 2025-06-05T18:58:34.5226440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_mesh.expect 2025-06-05T18:58:34.5226760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_histogram_auto.expect 2025-06-05T18:58:34.5227090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCPU.test_print_coalesced_cpu_float64.expect 2025-06-05T18:58:34.5227540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestFXAPIBackwardCompatibility.test_class_member_back_compat-fx_backcompat_class_members.expect 2025-06-05T18:58:34.5227980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseMeta.test_print_meta_SparseCSR_float64.expect 2025-06-05T18:58:34.5228300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_caffe2_simple_model.expect 2025-06-05T18:58:34.5228610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-loop_use_test.expect 2025-06-05T18:58:34.5228910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/HasDecompTest.test_has_decomposition.expect 2025-06-05T18:58:34.5229240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-python_op_name_test.expect 2025-06-05T18:58:34.5229540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_string_print-stdout.expect 2025-06-05T18:58:34.5229750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/__init__.py 2025-06-05T18:58:34.5230120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_string_mypy_fn.expect 2025-06-05T18:58:34.5230420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_python_frontend_py3.expect 2025-06-05T18:58:34.5230740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_listconstruct_erasure.expect 2025-06-05T18:58:34.5231090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCUDA.test_print_SparseCSR_cuda.expect 2025-06-05T18:58:34.5231370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_audio.expect 2025-06-05T18:58:34.5231660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_string_py3_fn.expect 2025-06-05T18:58:34.5232050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCUDA.test_print_SparseBSC_cuda.expect 2025-06-05T18:58:34.5232360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTorch.test_is_nonzero-empty.expect 2025-06-05T18:58:34.5232710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_parser_type_annotations_comment.expect 2025-06-05T18:58:34.5233040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_histogram_fd.expect 2025-06-05T18:58:34.5233340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_ast_py3_method.expect 2025-06-05T18:58:34.5233630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_ast_py3_fn.expect 2025-06-05T18:58:34.5233940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-while_if_test.expect 2025-06-05T18:58:34.5234220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_format-stdout.expect 2025-06-05T18:58:34.5234540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_torch_dot_tensor_annotation.expect 2025-06-05T18:58:34.5234850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestAutograd.test_function-y_grad_desc.expect 2025-06-05T18:58:34.5235190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseMeta.test_print_meta_SparseBSC_float64.expect 2025-06-05T18:58:34.5235550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/HasDecompTest.test_aten_core_operators.expect 2025-06-05T18:58:34.5235930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCUDA.test_print_SparseCSC_cuda.expect 2025-06-05T18:58:34.5236280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCUDA.test_print_SparseBSR_cuda.expect 2025-06-05T18:58:34.5236740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestFXAPIBackwardCompatibility.test_function_back_compat-fx_backcompat_function_signatures.expect 2025-06-05T18:58:34.5237020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_non_ascii_string.expect 2025-06-05T18:58:34.5237360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCPU.test_print_SparseBSC_cpu.expect 2025-06-05T18:58:34.5237660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_hparams_bool.expect 2025-06-05T18:58:34.5237940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_cu_escaped_number.expect 2025-06-05T18:58:34.5238350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_image_with_one_channel_batched.expect 2025-06-05T18:58:34.5238670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_video.expect 2025-06-05T18:58:34.5239020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-print_weird_test.expect 2025-06-05T18:58:34.5239350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestPytorchExportModes.test_aten_fallback.expect 2025-06-05T18:58:34.5239700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCPU.test_print_SparseCSC_cpu.expect 2025-06-05T18:58:34.5239990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_pr_curve_raw.expect 2025-06-05T18:58:34.5240270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_print-stdout.expect 2025-06-05T18:58:34.5240610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseMeta.test_print_meta_SparseCOO_float64.expect 2025-06-05T18:58:34.5240910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestAutograd.test_function-x_grad_desc.expect 2025-06-05T18:58:34.5241230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_image_with_one_channel.expect 2025-06-05T18:58:34.5241530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annotated_script_fn.expect 2025-06-05T18:58:34.5241870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCPU.test_print_SparseBSR_cpu.expect 2025-06-05T18:58:34.5242160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_ast_mypy_fn.expect 2025-06-05T18:58:34.5242490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseMeta.test_print_meta_SparseCSC_float64.expect 2025-06-05T18:58:34.5242810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_string_mypy_method.expect 2025-06-05T18:58:34.5243110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_string_py3_method.expect 2025-06-05T18:58:34.5243430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_import_method.expect 2025-06-05T18:58:34.5243800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCompressedCPU.test_print_SparseCSR_cpu.expect 2025-06-05T18:58:34.5244120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_pr_curve.expect 2025-06-05T18:58:34.5244430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestJit.test_pretty_printer-if_one.expect 2025-06-05T18:58:34.5244740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_python_frontend.expect 2025-06-05T18:58:34.5245040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_hparams_number.expect 2025-06-05T18:58:34.5245340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_python_frontend_py2.expect 2025-06-05T18:58:34.5245640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestScript.test_annot_ast_mypy_method.expect 2025-06-05T18:58:34.5245940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_histogram_doane.expect 2025-06-05T18:58:34.5246290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestPytorchExportModes.test_onnx_aten.expect 2025-06-05T18:58:34.5246650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestSparseCPU.test_print_uncoalesced_cpu_float64.expect 2025-06-05T18:58:34.5246980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect/TestTensorBoard.test_caffe2_simple_cnnmodel.expect 2025-06-05T18:58:34.5247150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/expect 2025-06-05T18:58:34.5247350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test/test_testing.py 2025-06-05T18:58:34.5247510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/test 2025-06-05T18:58:34.5247720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/VulkanCodegen.cmake 2025-06-05T18:58:34.5247910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Metal.cmake 2025-06-05T18:58:34.5248140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/cmake_uninstall.cmake.in 2025-06-05T18:58:34.5248360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/ProtoBufPatch.cmake 2025-06-05T18:58:34.5248550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Codegen.cmake 2025-06-05T18:58:34.5248750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/MiscCheck.cmake 2025-06-05T18:58:34.5248950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/ProtoBuf.cmake 2025-06-05T18:58:34.5249170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/BuildVariables.cmake 2025-06-05T18:58:34.5249360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Summary.cmake 2025-06-05T18:58:34.5249570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/DebugHelper.cmake 2025-06-05T18:58:34.5249770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/FlatBuffers.cmake 2025-06-05T18:58:34.5250020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/FindCUDNN.cmake 2025-06-05T18:58:34.5250290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/README.md 2025-06-05T18:58:34.5250540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/FindCUDA.cmake 2025-06-05T18:58:34.5250970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake 2025-06-05T18:58:34.5251230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/README.md 2025-06-05T18:58:34.5251530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake 2025-06-05T18:58:34.5251830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake 2025-06-05T18:58:34.5252160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake 2025-06-05T18:58:34.5252460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake 2025-06-05T18:58:34.5252720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA 2025-06-05T18:58:34.5253030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake 2025-06-05T18:58:34.5253340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindCUDA.cmake 2025-06-05T18:58:34.5253660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream/FindPackageMessage.cmake 2025-06-05T18:58:34.5253890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix/upstream 2025-06-05T18:58:34.5254090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules_CUDA_fix 2025-06-05T18:58:34.5254310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/TorchConfig.cmake.in 2025-06-05T18:58:34.5254540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/VulkanDependencies.cmake 2025-06-05T18:58:34.5254750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/IncludeSource.cpp.in 2025-06-05T18:58:34.5254960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Allowlist.cmake 2025-06-05T18:58:34.5255170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/LoadHIP.cmake 2025-06-05T18:58:34.5255380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/mkldnn.cmake 2025-06-05T18:58:34.5255590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/glog.cmake 2025-06-05T18:58:34.5255790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/utils.cmake 2025-06-05T18:58:34.5256010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/protobuf.cmake 2025-06-05T18:58:34.5256250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/ComputeLibrary.cmake 2025-06-05T18:58:34.5256490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/mkl.cmake 2025-06-05T18:58:34.5256720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/gflags.cmake 2025-06-05T18:58:34.5256940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/cuda.cmake 2025-06-05T18:58:34.5257150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public/xpu.cmake 2025-06-05T18:58:34.5257330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/public 2025-06-05T18:58:34.5257540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/prioritized_text.txt 2025-06-05T18:58:34.5257840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/TorchConfigVersion.cmake.in 2025-06-05T18:58:34.5258070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Caffe2Config.cmake.in 2025-06-05T18:58:34.5258290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/rccl.cmake 2025-06-05T18:58:34.5258490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/ucc.cmake 2025-06-05T18:58:34.5258720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/EigenBLAS.cmake 2025-06-05T18:58:34.5258940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/nnpack.cmake 2025-06-05T18:58:34.5259150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/nccl.cmake 2025-06-05T18:58:34.5259370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External/aotriton.cmake 2025-06-05T18:58:34.5259550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/External 2025-06-05T18:58:34.5259770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindAtlas.cmake 2025-06-05T18:58:34.5260090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindOpenTelemetryApi.cmake 2025-06-05T18:58:34.5260310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindAVX.cmake 2025-06-05T18:58:34.5260550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindBLAS.cmake 2025-06-05T18:58:34.5260770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindNuma.cmake 2025-06-05T18:58:34.5260990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindOpenMP.cmake 2025-06-05T18:58:34.5261210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindACL.cmake 2025-06-05T18:58:34.5261430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindBLIS.cmake 2025-06-05T18:58:34.5261670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindBenchmark.cmake 2025-06-05T18:58:34.5261910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindSYCLToolkit.cmake 2025-06-05T18:58:34.5262140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindZVECTOR.cmake 2025-06-05T18:58:34.5262410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/README.md 2025-06-05T18:58:34.5262640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pytorch/cmake/Modules/FindVSX.cmake 2025-06-05T18:58:34.5262880Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/hooks 2025-06-05T18:58:35.4432980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/refs/heads 2025-06-05T18:58:35.4433210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/refs/tags 2025-06-05T18:58:35.4433350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/refs 2025-06-05T18:58:35.4433500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/index 2025-06-05T18:58:35.4433770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config 2025-06-05T18:58:35.4434040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/shallow 2025-06-05T18:58:35.4434490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/pack/pack-c608a7d1c3c2b77df2280401ef4126d57edb179c.idx 2025-06-05T18:58:35.4434940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/pack/pack-2477dd0621a521671a63980e2ab673b424fa8af4.idx 2025-06-05T18:58:35.4435380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/pack/pack-2477dd0621a521671a63980e2ab673b424fa8af4.pack 2025-06-05T18:58:35.4435810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/pack/pack-c608a7d1c3c2b77df2280401ef4126d57edb179c.pack 2025-06-05T18:58:35.4436110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/pack 2025-06-05T18:58:35.4436400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects/info 2025-06-05T18:58:35.4436680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/objects 2025-06-05T18:58:35.4436960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/HEAD 2025-06-05T18:58:35.4437250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/info/exclude 2025-06-05T18:58:35.4437520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/info 2025-06-05T18:58:35.4437800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/HEAD 2025-06-05T18:58:35.4438170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs/heads/master 2025-06-05T18:58:35.4438470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs/heads 2025-06-05T18:58:35.4438820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4439140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs/remotes/origin 2025-06-05T18:58:35.4439450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs/remotes 2025-06-05T18:58:35.4439740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs/refs 2025-06-05T18:58:35.4440010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/logs 2025-06-05T18:58:35.4440290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/description 2025-06-05T18:58:35.4440630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/commit-msg.sample 2025-06-05T18:58:35.4440970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-rebase.sample 2025-06-05T18:58:35.4441280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-commit.sample 2025-06-05T18:58:35.4441610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4441950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4442280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-receive.sample 2025-06-05T18:58:35.4442610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4442930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/post-update.sample 2025-06-05T18:58:35.4443270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4443600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4443910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/pre-push.sample 2025-06-05T18:58:35.4444210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/update.sample 2025-06-05T18:58:35.4444540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4444810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/hooks 2025-06-05T18:58:35.4445110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/heads/master 2025-06-05T18:58:35.4445430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/heads 2025-06-05T18:58:35.4445750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/tags 2025-06-05T18:58:35.4446100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4446410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/remotes/origin 2025-06-05T18:58:35.4446690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs/remotes 2025-06-05T18:58:35.4446960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/refs 2025-06-05T18:58:35.4447220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/index 2025-06-05T18:58:35.4447500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/packed-refs 2025-06-05T18:58:35.4447780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/FETCH_HEAD 2025-06-05T18:58:35.4448050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen 2025-06-05T18:58:35.4448290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party 2025-06-05T18:58:35.4448510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized 2025-06-05T18:58:35.4448680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels 2025-06-05T18:58:35.4448920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config 2025-06-05T18:58:35.4449160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/shallow 2025-06-05T18:58:35.4449560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/objects/pack/pack-f79d18c01f6b2c5e0ca02e476176d3559c2c99c7.pack 2025-06-05T18:58:35.4449960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/objects/pack/pack-f79d18c01f6b2c5e0ca02e476176d3559c2c99c7.idx 2025-06-05T18:58:35.4450220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/objects/pack 2025-06-05T18:58:35.4450470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/objects/info 2025-06-05T18:58:35.4450710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/objects 2025-06-05T18:58:35.4450940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/HEAD 2025-06-05T18:58:35.4451230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/info/exclude 2025-06-05T18:58:35.4451470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/info 2025-06-05T18:58:35.4451730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/HEAD 2025-06-05T18:58:35.4452020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs/heads/main 2025-06-05T18:58:35.4452290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs/heads 2025-06-05T18:58:35.4452610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4452900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs/remotes/origin 2025-06-05T18:58:35.4453250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs/remotes 2025-06-05T18:58:35.4453510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs/refs 2025-06-05T18:58:35.4453750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/logs 2025-06-05T18:58:35.4454010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/description 2025-06-05T18:58:35.4454310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/commit-msg.sample 2025-06-05T18:58:35.4454610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-rebase.sample 2025-06-05T18:58:35.4454900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-commit.sample 2025-06-05T18:58:35.4455210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4455570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4455890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-receive.sample 2025-06-05T18:58:35.4456210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4456510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/post-update.sample 2025-06-05T18:58:35.4456820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4457130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4457430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/pre-push.sample 2025-06-05T18:58:35.4457710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/update.sample 2025-06-05T18:58:35.4458030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4458270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/hooks 2025-06-05T18:58:35.4458540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/heads/main 2025-06-05T18:58:35.4458800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/heads 2025-06-05T18:58:35.4459050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/tags 2025-06-05T18:58:35.4459350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4459630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/remotes/origin 2025-06-05T18:58:35.4459890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs/remotes 2025-06-05T18:58:35.4460130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/refs 2025-06-05T18:58:35.4460370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/index 2025-06-05T18:58:35.4460720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/packed-refs 2025-06-05T18:58:35.4461060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/config 2025-06-05T18:58:35.4461400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/shallow 2025-06-05T18:58:35.4461900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/pack/pack-b26d99450d83308555a6084227b30aa0fe833fc3.pack 2025-06-05T18:58:35.4462400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/pack/pack-8cac7381899dc4538fa3e64e71b29bcc6456aa8c.idx 2025-06-05T18:58:35.4462890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/pack/pack-b26d99450d83308555a6084227b30aa0fe833fc3.idx 2025-06-05T18:58:35.4463390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/pack/pack-8cac7381899dc4538fa3e64e71b29bcc6456aa8c.pack 2025-06-05T18:58:35.4505940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/pack 2025-06-05T18:58:35.4506320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects/info 2025-06-05T18:58:35.4506680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/objects 2025-06-05T18:58:35.4507030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/HEAD 2025-06-05T18:58:35.4507400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/info/exclude 2025-06-05T18:58:35.4507740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/info 2025-06-05T18:58:35.4508100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/HEAD 2025-06-05T18:58:35.4508490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs/heads/master 2025-06-05T18:58:35.4508870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs/heads 2025-06-05T18:58:35.4509290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4509690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs/remotes/origin 2025-06-05T18:58:35.4510070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs/remotes 2025-06-05T18:58:35.4510410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs/refs 2025-06-05T18:58:35.4510740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/logs 2025-06-05T18:58:35.4511090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/description 2025-06-05T18:58:35.4511570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/commit-msg.sample 2025-06-05T18:58:35.4511960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-rebase.sample 2025-06-05T18:58:35.4512340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-commit.sample 2025-06-05T18:58:35.4512740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4513150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4513550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-receive.sample 2025-06-05T18:58:35.4513980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4514410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/post-update.sample 2025-06-05T18:58:35.4514840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4515230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4515610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/pre-push.sample 2025-06-05T18:58:35.4515990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/update.sample 2025-06-05T18:58:35.4516390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4516730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/hooks 2025-06-05T18:58:35.4517090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/heads/master 2025-06-05T18:58:35.4517440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/heads 2025-06-05T18:58:35.4517780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/tags 2025-06-05T18:58:35.4518170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4518540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/remotes/origin 2025-06-05T18:58:35.4518890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs/remotes 2025-06-05T18:58:35.4519220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/refs 2025-06-05T18:58:35.4519610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/index 2025-06-05T18:58:35.4519990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/packed-refs 2025-06-05T18:58:35.4520340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/FETCH_HEAD 2025-06-05T18:58:35.4520650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp 2025-06-05T18:58:35.4521000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/config 2025-06-05T18:58:35.4521350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/shallow 2025-06-05T18:58:35.4521820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/0c/5b35ea15522d8d299498354ec09bfa822992ff 2025-06-05T18:58:35.4522200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/0c 2025-06-05T18:58:35.4522720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/d7/e6186493fdbe217a1d2e523680d914e281c046 2025-06-05T18:58:35.4523080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/d7 2025-06-05T18:58:35.4523540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/d8/f741853847553169444afc12c00f4bbff3e9ce 2025-06-05T18:58:35.4523890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/d8 2025-06-05T18:58:35.4524340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/ab/ac28428ac94ed44239d522b7cd8cd7421c461f 2025-06-05T18:58:35.4524690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/ab 2025-06-05T18:58:35.4525140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/e2/c179f1d71bd9a319b3805051fbba62822e1d07 2025-06-05T18:58:35.4525480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/e2 2025-06-05T18:58:35.4525980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/pack/pack-a86fe9967a5e214206d4c3d0d5a963216a2e4a4a.pack 2025-06-05T18:58:35.4526470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/pack/pack-a86fe9967a5e214206d4c3d0d5a963216a2e4a4a.idx 2025-06-05T18:58:35.4526830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/pack 2025-06-05T18:58:35.4527280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/9f/49c3e124b58d55c8cc9f3e16878f2d528fbbe9 2025-06-05T18:58:35.4527620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/9f 2025-06-05T18:58:35.4528160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/6b/adadec2838c1565f46ff7d2e82e65cebf3c32e 2025-06-05T18:58:35.4528510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/6b 2025-06-05T18:58:35.4528860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/info 2025-06-05T18:58:35.4529310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/a0/12d83f681f62030e16ecb9bd95de24857b7186 2025-06-05T18:58:35.4529730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/a0 2025-06-05T18:58:35.4530210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/f7/d8cf1e8b750fb14941d81a13169b6f8c1b0e70 2025-06-05T18:58:35.4530570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/f7 2025-06-05T18:58:35.4531090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/8c/bf9e27f8c5e989bac88c956b2220079e267def 2025-06-05T18:58:35.4531440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/8c 2025-06-05T18:58:35.4531910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/1c/727239ca92ad5c316c29ce5468adc77056c07f 2025-06-05T18:58:35.4532270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects/1c 2025-06-05T18:58:35.4532620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/objects 2025-06-05T18:58:35.4532960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/HEAD 2025-06-05T18:58:35.4533330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/info/exclude 2025-06-05T18:58:35.4533660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/info 2025-06-05T18:58:35.4534020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/HEAD 2025-06-05T18:58:35.4534410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs/heads/master 2025-06-05T18:58:35.4534780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs/heads 2025-06-05T18:58:35.4535200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4535590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs/remotes/origin 2025-06-05T18:58:35.4535970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs/remotes 2025-06-05T18:58:35.4536350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs/refs 2025-06-05T18:58:35.4536730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/logs 2025-06-05T18:58:35.4537090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/description 2025-06-05T18:58:35.4537480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/commit-msg.sample 2025-06-05T18:58:35.4537880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-rebase.sample 2025-06-05T18:58:35.4538270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-commit.sample 2025-06-05T18:58:35.4538680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4539160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4539590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-receive.sample 2025-06-05T18:58:35.4540020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4540420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/post-update.sample 2025-06-05T18:58:35.4540840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4541250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4541640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/pre-push.sample 2025-06-05T18:58:35.4542020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/update.sample 2025-06-05T18:58:35.4542430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4542780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/hooks 2025-06-05T18:58:35.4543160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/heads/master 2025-06-05T18:58:35.4543510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/heads 2025-06-05T18:58:35.4543870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/tags 2025-06-05T18:58:35.4544270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4544650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/remotes/origin 2025-06-05T18:58:35.4545060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs/remotes 2025-06-05T18:58:35.4642700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/refs 2025-06-05T18:58:35.4643070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/index 2025-06-05T18:58:35.4643450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/packed-refs 2025-06-05T18:58:35.4643810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/FETCH_HEAD 2025-06-05T18:58:35.4644150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece 2025-06-05T18:58:35.4644490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/config 2025-06-05T18:58:35.4644850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/shallow 2025-06-05T18:58:35.4645390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/pack/pack-57261cb43e6fb71b7e91ba606c8928b45919c16c.pack 2025-06-05T18:58:35.4645890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/pack/pack-73143a9014e28786d2d5cafc0ecde53a93c92502.idx 2025-06-05T18:58:35.4646370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/pack/pack-57261cb43e6fb71b7e91ba606c8928b45919c16c.idx 2025-06-05T18:58:35.4646850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/pack/pack-73143a9014e28786d2d5cafc0ecde53a93c92502.pack 2025-06-05T18:58:35.4647190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/pack 2025-06-05T18:58:35.4647530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects/info 2025-06-05T18:58:35.4647850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/objects 2025-06-05T18:58:35.4648170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/HEAD 2025-06-05T18:58:35.4648500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/info/exclude 2025-06-05T18:58:35.4648820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/info 2025-06-05T18:58:35.4649140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/HEAD 2025-06-05T18:58:35.4649510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs/heads/develop 2025-06-05T18:58:35.4649890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs/heads 2025-06-05T18:58:35.4650270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4650710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs/remotes/origin 2025-06-05T18:58:35.4651060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs/remotes 2025-06-05T18:58:35.4651390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs/refs 2025-06-05T18:58:35.4651700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/logs 2025-06-05T18:58:35.4652040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/description 2025-06-05T18:58:35.4652410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/commit-msg.sample 2025-06-05T18:58:35.4652770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-rebase.sample 2025-06-05T18:58:35.4653160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-commit.sample 2025-06-05T18:58:35.4653560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4653960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4654330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-receive.sample 2025-06-05T18:58:35.4654720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4655100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/post-update.sample 2025-06-05T18:58:35.4655490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4655860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4656230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/pre-push.sample 2025-06-05T18:58:35.4656580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/update.sample 2025-06-05T18:58:35.4656970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4657290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/hooks 2025-06-05T18:58:35.4657640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/heads/develop 2025-06-05T18:58:35.4657970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/heads 2025-06-05T18:58:35.4658330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/tags 2025-06-05T18:58:35.4658750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4659100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/remotes/origin 2025-06-05T18:58:35.4659440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs/remotes 2025-06-05T18:58:35.4659750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/refs 2025-06-05T18:58:35.4660060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/index 2025-06-05T18:58:35.4660400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/packed-refs 2025-06-05T18:58:35.4660730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/FETCH_HEAD 2025-06-05T18:58:35.4661030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json 2025-06-05T18:58:35.4661400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/config 2025-06-05T18:58:35.4661740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/shallow 2025-06-05T18:58:35.4662180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/ab/50c94aaf9290593d55012c0113509caf3dcd80 2025-06-05T18:58:35.4662510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/ab 2025-06-05T18:58:35.4662990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/pack/pack-253297f2ab0f33934079eb68abdb6fcd14be63e2.idx 2025-06-05T18:58:35.4663470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/pack/pack-253297f2ab0f33934079eb68abdb6fcd14be63e2.pack 2025-06-05T18:58:35.4663800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/pack 2025-06-05T18:58:35.4664240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/74/22b5ab1f79bfe58b958873ff02db50141afd9a 2025-06-05T18:58:35.4664570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/74 2025-06-05T18:58:35.4664910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/info 2025-06-05T18:58:35.4665350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/6d/cd83d60f7944926bfd308cc13979fc53dd69ca 2025-06-05T18:58:35.4665670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects/6d 2025-06-05T18:58:35.4665990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/objects 2025-06-05T18:58:35.4666330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/HEAD 2025-06-05T18:58:35.4666660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/info/exclude 2025-06-05T18:58:35.4667060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/info 2025-06-05T18:58:35.4667390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/HEAD 2025-06-05T18:58:35.4667740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs/heads/main 2025-06-05T18:58:35.4668080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs/heads 2025-06-05T18:58:35.4668460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4668830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs/remotes/origin 2025-06-05T18:58:35.4669170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs/remotes 2025-06-05T18:58:35.4669520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs/refs 2025-06-05T18:58:35.4669860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/logs 2025-06-05T18:58:35.4670190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/description 2025-06-05T18:58:35.4670550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/commit-msg.sample 2025-06-05T18:58:35.4670920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-rebase.sample 2025-06-05T18:58:35.4671290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-commit.sample 2025-06-05T18:58:35.4671660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4672050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4672420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-receive.sample 2025-06-05T18:58:35.4672810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4673180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/post-update.sample 2025-06-05T18:58:35.4673570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4673950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4674310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/pre-push.sample 2025-06-05T18:58:35.4674660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/update.sample 2025-06-05T18:58:35.4675100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4675410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/hooks 2025-06-05T18:58:35.4675750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/refs/heads/main 2025-06-05T18:58:35.4676080Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/info/exclude 2025-06-05T18:58:35.4833030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/info 2025-06-05T18:58:35.4836310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/HEAD 2025-06-05T18:58:35.4836730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs/heads/master 2025-06-05T18:58:35.4837090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs/heads 2025-06-05T18:58:35.4837520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4837910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs/remotes/origin 2025-06-05T18:58:35.4838270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs/remotes 2025-06-05T18:58:35.4838640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs/refs 2025-06-05T18:58:35.4838960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/logs 2025-06-05T18:58:35.4841450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/description 2025-06-05T18:58:35.4841850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/commit-msg.sample 2025-06-05T18:58:35.4842230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-rebase.sample 2025-06-05T18:58:35.4842620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-commit.sample 2025-06-05T18:58:35.4843010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4843410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4843790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-receive.sample 2025-06-05T18:58:35.4844190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4844560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/post-update.sample 2025-06-05T18:58:35.4844980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4845370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4845730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/pre-push.sample 2025-06-05T18:58:35.4846100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/update.sample 2025-06-05T18:58:35.4846490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4846810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/hooks 2025-06-05T18:58:35.4847360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/heads/master 2025-06-05T18:58:35.4847700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/heads 2025-06-05T18:58:35.4848060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/tags 2025-06-05T18:58:35.4848430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4848800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/remotes/origin 2025-06-05T18:58:35.4849130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs/remotes 2025-06-05T18:58:35.4849450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/refs 2025-06-05T18:58:35.4849770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/index 2025-06-05T18:58:35.4850220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/packed-refs 2025-06-05T18:58:35.4850600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/config 2025-06-05T18:58:35.4850980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/shallow 2025-06-05T18:58:35.4851510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/92/dc0628154e49d12d273f0b66b399febeb9ebbb 2025-06-05T18:58:35.4851910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/92 2025-06-05T18:58:35.4852430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/3e/02e841b70c5da9c17a1c9197e3187aac018a26 2025-06-05T18:58:35.4852840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/3e 2025-06-05T18:58:35.4853350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/9e/c1587c9caa1cf307bd5c0586c11a0ca98a9ef4 2025-06-05T18:58:35.4853820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/9e 2025-06-05T18:58:35.4854330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/35/ae43483523be1527746d23085f8a0d95c63bf6 2025-06-05T18:58:35.4854730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/35 2025-06-05T18:58:35.4855250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/69/602ea1e1290a890e38f18db99e237b226652c0 2025-06-05T18:58:35.4855660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/69 2025-06-05T18:58:35.4856230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/56/fe5d6f88a11882f69e4c24f2bb154b5f3ce487 2025-06-05T18:58:35.4856700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/56 2025-06-05T18:58:35.4857190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/0b/d9135a0f38ac53213f8617e3668c2d07731735 2025-06-05T18:58:35.4857580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/0b 2025-06-05T18:58:35.4858100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/93/cb5b0e1bf38eaa84a50b9161a2e090305824f3 2025-06-05T18:58:35.4858490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/93 2025-06-05T18:58:35.4859060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/a4/ca9d609f51be7961916f59fbac4042551f4226 2025-06-05T18:58:35.4859450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/a4 2025-06-05T18:58:35.4859970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/d6/c4c79ddbf3b0200b555eeac87594696f8066ba 2025-06-05T18:58:35.4860360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/d6 2025-06-05T18:58:35.4860870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/eb/9ddc7c09788b7b0b2aca95fde9638ab027bc4c 2025-06-05T18:58:35.4861270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/eb 2025-06-05T18:58:35.4861760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c7/37bf032e7b5307ebf378ee1cf8942a67c0486d 2025-06-05T18:58:35.4862150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c7 2025-06-05T18:58:35.4862680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/fd/82ba25a3c81ee46732496c4c664264312aac6a 2025-06-05T18:58:35.4863070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/fd 2025-06-05T18:58:35.4863590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/f2/b2ce5b258d5b31dc5885ee0626dbc1a28c939d 2025-06-05T18:58:35.4863980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/f2 2025-06-05T18:58:35.4864470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/fb/9656813b81a9914000f515aadc2e6e6157d4c0 2025-06-05T18:58:35.4864950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/fb 2025-06-05T18:58:35.4865450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ed/ca58df2028dacbf9cdbc467f8e919a3a0d3f78 2025-06-05T18:58:35.4865900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ed 2025-06-05T18:58:35.4866400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c1/9b43f32568b3c956147dff2bd7ff32810055f6 2025-06-05T18:58:35.4866790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c1 2025-06-05T18:58:35.4867300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c6/40ea22b5074bd938a3df8518e5875ec6cc4f7c 2025-06-05T18:58:35.4867690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/c6 2025-06-05T18:58:35.4868300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/pack/pack-1e50136c6f832194e2adc8f48d380b57a9a4875d.idx 2025-06-05T18:58:35.4868870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/pack/pack-1e50136c6f832194e2adc8f48d380b57a9a4875d.pack 2025-06-05T18:58:35.4869270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/pack 2025-06-05T18:58:35.4869780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/29/e09922d7d0e88fc0379ced4fcda8d15c34992b 2025-06-05T18:58:35.4870160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/29 2025-06-05T18:58:35.4870660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/7c/3650661d10e52a7fa5f390afbe4baab5684dac 2025-06-05T18:58:35.4871050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/7c 2025-06-05T18:58:35.4871590Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/26/cb80bf2a2083cf06787264cf293f9700472a08 2025-06-05T18:58:35.4873750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/26 2025-06-05T18:58:35.4874220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/44/f709c64254085533f730c57c6d48c30ff4e191 2025-06-05T18:58:35.4874620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/44 2025-06-05T18:58:35.4875100Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/2f 2025-06-05T18:58:35.4877330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/9f/00b42aa114b6c07b064f2a554a0d7cf4fca617 2025-06-05T18:58:35.4877870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/9f/1dee60bae9991e403eef09b17ed711bcb0e52d 2025-06-05T18:58:35.4878310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/9f 2025-06-05T18:58:35.4878800Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/96 2025-06-05T18:58:35.4880940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/3a/5d3db1fabc2d4fab1ca38d918875e79fe186b0 2025-06-05T18:58:35.4881310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/3a 2025-06-05T18:58:35.4881790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/98/802d939be3f0ccc2c538d611ec4c728564e8cf 2025-06-05T18:58:35.4882230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/98 2025-06-05T18:58:35.4882710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/5b/fb42b7ed61a92c26957f3d48b7e6387a1b8e5e 2025-06-05T18:58:35.4883110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/5b 2025-06-05T18:58:35.4883590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/01/050e8b8e0be366289e184db7f4be4288e37e6d 2025-06-05T18:58:35.4883970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/01 2025-06-05T18:58:35.4884470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/39/7f069fc6066c3655563843035bacdd439e98db 2025-06-05T18:58:35.4884840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/39 2025-06-05T18:58:35.4885390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/dd/c26317206c112d9fe6edd2da4683b507417403 2025-06-05T18:58:35.4885770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/dd 2025-06-05T18:58:35.4886250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ff/959f4f6b9857b11effbf938957cb6f2231e53f 2025-06-05T18:58:35.4886630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ff 2025-06-05T18:58:35.4887120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/f8/eb6ee9af4dada6b59c6b9677fdaa8779065758 2025-06-05T18:58:35.4887500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/f8 2025-06-05T18:58:35.4888000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ce/bb4b838cabe5718c12136ae5dc9dde6673dad9 2025-06-05T18:58:35.4888430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/ce 2025-06-05T18:58:35.4888920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/77/10defe5649b6776750743749b41647d08547d5 2025-06-05T18:58:35.4889290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/77 2025-06-05T18:58:35.4889770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/70/a49a64a8a4db749b3a4adfe2ff80500516e2a3 2025-06-05T18:58:35.4890150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/70 2025-06-05T18:58:35.4890630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/8d/e3284f73db0737c858ac7831525cc666888bb9 2025-06-05T18:58:35.4891050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/8d 2025-06-05T18:58:35.4891550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/8c/952387d84a307a0508640a44fb487d11c428f6 2025-06-05T18:58:35.4891930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/8c 2025-06-05T18:58:35.4892410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/76/e9a76e8fb23a944b7d6a93e07ea6c5bc821f99 2025-06-05T18:58:35.4892790Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects/22 2025-06-05T18:58:35.4895060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/objects 2025-06-05T18:58:35.4895440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/HEAD 2025-06-05T18:58:35.4976450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/info/exclude 2025-06-05T18:58:35.4976860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/info 2025-06-05T18:58:35.4977250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/logs/HEAD 2025-06-05T18:58:35.4977740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/logs/refs/heads/master 2025-06-05T18:58:35.4978160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/logs/refs/heads 2025-06-05T18:58:35.4978600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.4979030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/logs/refs/remotes/origin 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2025-06-05T18:58:35.4981540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-rebase.sample 2025-06-05T18:58:35.4981960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-commit.sample 2025-06-05T18:58:35.4982410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/applypatch-msg.sample 2025-06-05T18:58:35.4982860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.4983360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-receive.sample 2025-06-05T18:58:35.4983820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.4984250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/post-update.sample 2025-06-05T18:58:35.4984690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.4985160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-applypatch.sample 2025-06-05T18:58:35.4985580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/pre-push.sample 2025-06-05T18:58:35.4986000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/update.sample 2025-06-05T18:58:35.4986650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks/push-to-checkout.sample 2025-06-05T18:58:35.4987020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/hooks 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2025-06-05T18:58:35.4989440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/refs/remotes 2025-06-05T18:58:35.4989800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/refs 2025-06-05T18:58:35.4990160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/index 2025-06-05T18:58:35.4990540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/packed-refs 2025-06-05T18:58:35.4990920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/FETCH_HEAD 2025-06-05T18:58:35.4991320Z 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2025-06-05T18:58:35.4993190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules 2025-06-05T18:58:35.4993410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers 2025-06-05T18:58:35.4993610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm 2025-06-05T18:58:35.4993790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension 2025-06-05T18:58:35.4994050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config 2025-06-05T18:58:35.4994310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/shallow 2025-06-05T18:58:35.4994710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/95/70da0cdcc0b9166acfe1217721da5d72782098 2025-06-05T18:58:35.4994990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/95 2025-06-05T18:58:35.4995370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/9e/a5c367b975484c1cb3bbfe603a303a59065b6a 2025-06-05T18:58:35.4995630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/9e 2025-06-05T18:58:35.4996010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/02/1c5f139afadd80c6f1b83f957d2552bb8c5ee2 2025-06-05T18:58:35.4996280Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/d6 2025-06-05T18:58:35.5000180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/pack/pack-5becb070e6fe39378ccfe504d3ec5ae604db6c35.pack 2025-06-05T18:58:35.5000590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/pack/pack-5becb070e6fe39378ccfe504d3ec5ae604db6c35.idx 2025-06-05T18:58:35.5000880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/pack 2025-06-05T18:58:35.5001250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/objects/73/152522113487911a6a98649d732bde72d3d4ac 2025-06-05T18:58:35.5001520Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5012620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/logs/refs/remotes/origin 2025-06-05T18:58:35.5012950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/logs/refs/remotes 2025-06-05T18:58:35.5013230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/logs/refs 2025-06-05T18:58:35.5013500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/logs 2025-06-05T18:58:35.5013780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/description 2025-06-05T18:58:35.5014100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/commit-msg.sample 2025-06-05T18:58:35.5014410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-rebase.sample 2025-06-05T18:58:35.5014720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-commit.sample 2025-06-05T18:58:35.5122900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5123300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5123650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-receive.sample 2025-06-05T18:58:35.5124020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5124350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/post-update.sample 2025-06-05T18:58:35.5124700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5125040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5125370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/pre-push.sample 2025-06-05T18:58:35.5125680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/update.sample 2025-06-05T18:58:35.5126060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5126350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/hooks 2025-06-05T18:58:35.5126650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/heads/master 2025-06-05T18:58:35.5126930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/heads 2025-06-05T18:58:35.5127200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/tags 2025-06-05T18:58:35.5127520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5127830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/remotes/origin 2025-06-05T18:58:35.5128170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs/remotes 2025-06-05T18:58:35.5128440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/refs 2025-06-05T18:58:35.5128730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/index 2025-06-05T18:58:35.5129020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/packed-refs 2025-06-05T18:58:35.5129290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/FETCH_HEAD 2025-06-05T18:58:35.5129540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk 2025-06-05T18:58:35.5129870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config 2025-06-05T18:58:35.5130190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/shallow 2025-06-05T18:58:35.5130740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/pack/pack-0a928a034f6718a48490f69b1a898fc8ecdda723.pack 2025-06-05T18:58:35.5131220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/pack/pack-0a928a034f6718a48490f69b1a898fc8ecdda723.idx 2025-06-05T18:58:35.5131710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/pack/pack-24a6e5eca1e133235f17d031d28a7e08fd1d152f.idx 2025-06-05T18:58:35.5132190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/pack/pack-24a6e5eca1e133235f17d031d28a7e08fd1d152f.pack 2025-06-05T18:58:35.5132530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/pack 2025-06-05T18:58:35.5132870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects/info 2025-06-05T18:58:35.5133200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/objects 2025-06-05T18:58:35.5133510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/HEAD 2025-06-05T18:58:35.5133840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/info/exclude 2025-06-05T18:58:35.5134190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/info 2025-06-05T18:58:35.5134510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/HEAD 2025-06-05T18:58:35.5134880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs/heads/master 2025-06-05T18:58:35.5135230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs/heads 2025-06-05T18:58:35.5135610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5135980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs/remotes/origin 2025-06-05T18:58:35.5136430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs/remotes 2025-06-05T18:58:35.5136760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs/refs 2025-06-05T18:58:35.5137100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/logs 2025-06-05T18:58:35.5137440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/description 2025-06-05T18:58:35.5137810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/commit-msg.sample 2025-06-05T18:58:35.5138180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-rebase.sample 2025-06-05T18:58:35.5138550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-commit.sample 2025-06-05T18:58:35.5138930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5139390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5139770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-receive.sample 2025-06-05T18:58:35.5140170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5140550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/post-update.sample 2025-06-05T18:58:35.5140940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5141320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5141690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/pre-push.sample 2025-06-05T18:58:35.5142040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/update.sample 2025-06-05T18:58:35.5142450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5142770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/hooks 2025-06-05T18:58:35.5143120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/heads/master 2025-06-05T18:58:35.5143460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/heads 2025-06-05T18:58:35.5143790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/tags 2025-06-05T18:58:35.5144160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5144570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/remotes/origin 2025-06-05T18:58:35.5144910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs/remotes 2025-06-05T18:58:35.5145240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/refs 2025-06-05T18:58:35.5145560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/index 2025-06-05T18:58:35.5145900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/packed-refs 2025-06-05T18:58:35.5146230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/FETCH_HEAD 2025-06-05T18:58:35.5146540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator 2025-06-05T18:58:35.5146830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config 2025-06-05T18:58:35.5147140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/shallow 2025-06-05T18:58:35.5147630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/61/df0010200536e9a7428e81456877cd3bc73aa2 2025-06-05T18:58:35.5148050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/61/774ff9cb7186b18a416a8ddf2e10a94940820c 2025-06-05T18:58:35.5148370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/61 2025-06-05T18:58:35.5148780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/0c/5928795a66e93f65e5e68a36d8daa79a209dc2 2025-06-05T18:58:35.5149090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/0c 2025-06-05T18:58:35.5149510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/68/e61b88f0dc0e51d81ebd31672075f6413401f1 2025-06-05T18:58:35.5149820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/68 2025-06-05T18:58:35.5150230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/57/922054393b7e5aa199b923d876a1300dacdaf7 2025-06-05T18:58:35.5150580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/57 2025-06-05T18:58:35.5151000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/3b/cd6fe49e6aeca4114696478804098f82aa1fe4 2025-06-05T18:58:35.5151310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/3b 2025-06-05T18:58:35.5151730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/03/55e7a162ca62e04a825363e2d6b416bcfaf496 2025-06-05T18:58:35.5152030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/03 2025-06-05T18:58:35.5152440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/3d/941a35330994ec3b947d9b7566398e59683c5a 2025-06-05T18:58:35.5152810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/3d 2025-06-05T18:58:35.5153220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/0b/02f8f13005de3390bb480561f66335d2586232 2025-06-05T18:58:35.5153560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/0b 2025-06-05T18:58:35.5153970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/05/1f1ea4a303666d147e33dcd4a3f638ff317819 2025-06-05T18:58:35.5154280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/05 2025-06-05T18:58:35.5154700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/d9/f6d94cfd2499e1f58d2f6c1da4a2e194fa7d91 2025-06-05T18:58:35.5155000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/d9 2025-06-05T18:58:35.5155480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/ac/4250a6a5bac93662009bd9a8c7e058fcfa4620 2025-06-05T18:58:35.5155790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/ac 2025-06-05T18:58:35.5156200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/d1/77bcc0a13ff69acfa8b172d48180687e614b3d 2025-06-05T18:58:35.5156510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/d1 2025-06-05T18:58:35.5156930Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/82 2025-06-05T18:58:35.5211020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/2e/c8fe184558d0894f3c0a99011c2d0215c84cb4 2025-06-05T18:58:35.5211430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/2e/fa08166815f0ef6d784b0eb21f09dfe6dac6bd 2025-06-05T18:58:35.5211800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/2e 2025-06-05T18:58:35.5212210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/47/2dec6e66352c48a614a16d52b50a915cd651a9 2025-06-05T18:58:35.5212550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/47 2025-06-05T18:58:35.5212970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/7a/1688a012e3977a7d8b7a6150ba51214c576573 2025-06-05T18:58:35.5213270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/7a 2025-06-05T18:58:35.5213690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/8e/197c7cff411381c24f22adb38757e69bd98eba 2025-06-05T18:58:35.5214110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/8e/cfb1558b00be729cb1eb6b9e7804a6db1f0a84 2025-06-05T18:58:35.5214410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects/8e 2025-06-05T18:58:35.5214770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/objects 2025-06-05T18:58:35.5215060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/HEAD 2025-06-05T18:58:35.5215380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/info/exclude 2025-06-05T18:58:35.5215670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/info 2025-06-05T18:58:35.5215980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/HEAD 2025-06-05T18:58:35.5216320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs/heads/main 2025-06-05T18:58:35.5216640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs/heads 2025-06-05T18:58:35.5217010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5217350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs/remotes/origin 2025-06-05T18:58:35.5217680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs/remotes 2025-06-05T18:58:35.5218020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs/refs 2025-06-05T18:58:35.5218310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/logs 2025-06-05T18:58:35.5218630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/description 2025-06-05T18:58:35.5234590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/commit-msg.sample 2025-06-05T18:58:35.5234970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-rebase.sample 2025-06-05T18:58:35.5235330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-commit.sample 2025-06-05T18:58:35.5235790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5236170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5236560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-receive.sample 2025-06-05T18:58:35.5236950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5237310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/post-update.sample 2025-06-05T18:58:35.5237700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5238070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5238420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/pre-push.sample 2025-06-05T18:58:35.5238830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/update.sample 2025-06-05T18:58:35.5239200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5239500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/hooks 2025-06-05T18:58:35.5239820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/heads/main 2025-06-05T18:58:35.5240130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/heads 2025-06-05T18:58:35.5240470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/tags/v1.4.316 2025-06-05T18:58:35.5240780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/tags 2025-06-05T18:58:35.5241120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5241460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/remotes/origin 2025-06-05T18:58:35.5241790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs/remotes 2025-06-05T18:58:35.5242080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/refs 2025-06-05T18:58:35.5242380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/index 2025-06-05T18:58:35.5242690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/packed-refs 2025-06-05T18:58:35.5243000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/FETCH_HEAD 2025-06-05T18:58:35.5243280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers 2025-06-05T18:58:35.5243600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party 2025-06-05T18:58:35.5243800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan 2025-06-05T18:58:35.5244100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config 2025-06-05T18:58:35.5244420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/shallow 2025-06-05T18:58:35.5244850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/0b/81360a03683b089b44b54870975e5fa76ff062 2025-06-05T18:58:35.5245190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/0b 2025-06-05T18:58:35.5245610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/f5/5a49348b568b7befb6e574ca3cfcfb7c7cb11b 2025-06-05T18:58:35.5245910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/f5 2025-06-05T18:58:35.5246370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/pack/pack-11a86d7c42c8f665d4051978c5389b5799bfe2b4.pack 2025-06-05T18:58:35.5246870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/pack/pack-11a86d7c42c8f665d4051978c5389b5799bfe2b4.idx 2025-06-05T18:58:35.5247190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/pack 2025-06-05T18:58:35.5247600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/17/cc94250b6780aa678fe8211fade7f4bd245ea5 2025-06-05T18:58:35.5247900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/17 2025-06-05T18:58:35.5248320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/07/6d73980b5635db4d48685854f723ad04cfa699 2025-06-05T18:58:35.5248620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/07 2025-06-05T18:58:35.5248930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/info 2025-06-05T18:58:35.5249340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/46/5b5a2217d68cd39f22cbee9c55f747015557fc 2025-06-05T18:58:35.5249680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/46 2025-06-05T18:58:35.5250100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/4f/e0e1e183925bf8cfa6aae24237e724a96479b8 2025-06-05T18:58:35.5250400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects/4f 2025-06-05T18:58:35.5250730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/objects 2025-06-05T18:58:35.5251020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/HEAD 2025-06-05T18:58:35.5251330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/info/exclude 2025-06-05T18:58:35.5251610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/info 2025-06-05T18:58:35.5252000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/HEAD 2025-06-05T18:58:35.5252340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs/heads/master 2025-06-05T18:58:35.5252710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs/heads 2025-06-05T18:58:35.5253070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5253410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs/remotes/origin 2025-06-05T18:58:35.5253740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs/remotes 2025-06-05T18:58:35.5254040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs/refs 2025-06-05T18:58:35.5258970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/logs 2025-06-05T18:58:35.5259350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/description 2025-06-05T18:58:35.5259700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/commit-msg.sample 2025-06-05T18:58:35.5260040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-rebase.sample 2025-06-05T18:58:35.5260380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-commit.sample 2025-06-05T18:58:35.5260740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5261100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5261450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-receive.sample 2025-06-05T18:58:35.5261810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5262160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/post-update.sample 2025-06-05T18:58:35.5262540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5262900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5263230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/pre-push.sample 2025-06-05T18:58:35.5263560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/update.sample 2025-06-05T18:58:35.5263920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5264220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/hooks 2025-06-05T18:58:35.5264610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/heads/master 2025-06-05T18:58:35.5264910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/heads 2025-06-05T18:58:35.5265230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/tags 2025-06-05T18:58:35.5265580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5265910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/remotes/origin 2025-06-05T18:58:35.5266220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs/remotes 2025-06-05T18:58:35.5266510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/refs 2025-06-05T18:58:35.5266800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/index 2025-06-05T18:58:35.5267100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/packed-refs 2025-06-05T18:58:35.5267450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/FETCH_HEAD 2025-06-05T18:58:35.5267730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool 2025-06-05T18:58:35.5268000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config 2025-06-05T18:58:35.5268280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/shallow 2025-06-05T18:58:35.5268680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/b4/08327ac2a15ec3e43352421954f5b1967701d1 2025-06-05T18:58:35.5268960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/b4 2025-06-05T18:58:35.5269400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/pack/pack-5c094050d56b539fe5f129606ff98ac7b5027d66.idx 2025-06-05T18:58:35.5269830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/pack/pack-5c094050d56b539fe5f129606ff98ac7b5027d66.pack 2025-06-05T18:58:35.5270120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/pack 2025-06-05T18:58:35.5270570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/7b/0ba72129f2e0edfa754a663aa0ef4adfa01614 2025-06-05T18:58:35.5270860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/7b 2025-06-05T18:58:35.5271150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/info 2025-06-05T18:58:35.5271540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/78/613e826a675f4ed72c4571935e5d398db44cd1 2025-06-05T18:58:35.5271830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects/78 2025-06-05T18:58:35.5272110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/objects 2025-06-05T18:58:35.5272460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/HEAD 2025-06-05T18:58:35.5272750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/info/exclude 2025-06-05T18:58:35.5273020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/info 2025-06-05T18:58:35.5273320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/HEAD 2025-06-05T18:58:35.5273650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs/heads/master 2025-06-05T18:58:35.5273950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs/heads 2025-06-05T18:58:35.5274280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5274610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs/remotes/origin 2025-06-05T18:58:35.5274910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs/remotes 2025-06-05T18:58:35.5275270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs/refs 2025-06-05T18:58:35.5275550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/logs 2025-06-05T18:58:35.5275830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/description 2025-06-05T18:58:35.5276160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/commit-msg.sample 2025-06-05T18:58:35.5276480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-rebase.sample 2025-06-05T18:58:35.5276810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-commit.sample 2025-06-05T18:58:35.5277150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5277490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5291220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-receive.sample 2025-06-05T18:58:35.5291590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5291960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/post-update.sample 2025-06-05T18:58:35.5292310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5292670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5293000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/pre-push.sample 2025-06-05T18:58:35.5293320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/update.sample 2025-06-05T18:58:35.5293680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5294030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/hooks 2025-06-05T18:58:35.5294350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/heads/master 2025-06-05T18:58:35.5294700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/heads 2025-06-05T18:58:35.5295000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/tags 2025-06-05T18:58:35.5295320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5295630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/remotes/origin 2025-06-05T18:58:35.5295920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs/remotes 2025-06-05T18:58:35.5296190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/refs 2025-06-05T18:58:35.5296460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/index 2025-06-05T18:58:35.5296820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/packed-refs 2025-06-05T18:58:35.5297100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/FETCH_HEAD 2025-06-05T18:58:35.5297360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv 2025-06-05T18:58:35.5297640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config 2025-06-05T18:58:35.5297930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/shallow 2025-06-05T18:58:35.5298370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/pack/pack-b4d9fdceca53668d8be3d76d49976c743766e7f9.idx 2025-06-05T18:58:35.5298820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/pack/pack-6c5527f4b6c87a78d72c5052c05de9bedf417b89.pack 2025-06-05T18:58:35.5299260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/pack/pack-b4d9fdceca53668d8be3d76d49976c743766e7f9.pack 2025-06-05T18:58:35.5299700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/pack/pack-6c5527f4b6c87a78d72c5052c05de9bedf417b89.idx 2025-06-05T18:58:35.5300040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/pack 2025-06-05T18:58:35.5300320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects/info 2025-06-05T18:58:35.5300600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/objects 2025-06-05T18:58:35.5300860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/HEAD 2025-06-05T18:58:35.5301150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/info/exclude 2025-06-05T18:58:35.5301410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/info 2025-06-05T18:58:35.5301750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/HEAD 2025-06-05T18:58:35.5302080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs/heads/master 2025-06-05T18:58:35.5302400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs/heads 2025-06-05T18:58:35.5302730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5303050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs/remotes/origin 2025-06-05T18:58:35.5303350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs/remotes 2025-06-05T18:58:35.5303630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs/refs 2025-06-05T18:58:35.5303890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/logs 2025-06-05T18:58:35.5304170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/description 2025-06-05T18:58:35.5304540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/commit-msg.sample 2025-06-05T18:58:35.5304870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-rebase.sample 2025-06-05T18:58:35.5305180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-commit.sample 2025-06-05T18:58:35.5305520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5305860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5306180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-receive.sample 2025-06-05T18:58:35.5306520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5306840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/post-update.sample 2025-06-05T18:58:35.5307180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5307530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5307840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/pre-push.sample 2025-06-05T18:58:35.5308150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/update.sample 2025-06-05T18:58:35.5308490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5308750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/hooks 2025-06-05T18:58:35.5309060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/heads/master 2025-06-05T18:58:35.5309410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/heads 2025-06-05T18:58:35.5309710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/tags 2025-06-05T18:58:35.5310050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5310360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/remotes/origin 2025-06-05T18:58:35.5310730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs/remotes 2025-06-05T18:58:35.5311000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/refs 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/objects/29 2025-06-05T18:58:35.5317310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/objects/07/74145ea2b16130a6b294af92624e9b1cfcb10c 2025-06-05T18:58:35.5317660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/objects/07 2025-06-05T18:58:35.5317950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/objects/info 2025-06-05T18:58:35.5318350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/objects/91/362d931faa8616aa4a1d147ca22256ce420a11 2025-06-05T18:58:35.5318630Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/pre-commit.sample 2025-06-05T18:58:35.5328140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5328490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5328820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/pre-receive.sample 2025-06-05T18:58:35.5329180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5372630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/post-update.sample 2025-06-05T18:58:35.5373010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5373360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5373700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/pre-push.sample 2025-06-05T18:58:35.5374030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/update.sample 2025-06-05T18:58:35.5374430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5374720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/hooks 2025-06-05T18:58:35.5375020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/refs/heads/main 2025-06-05T18:58:35.5375310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/refs/heads 2025-06-05T18:58:35.5375600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/refs/tags 2025-06-05T18:58:35.5375930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5376250Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/86/a4e22c48b2a544e5ea0201b67903c0b00fa59d 2025-06-05T18:58:35.5392360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/86 2025-06-05T18:58:35.5392740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/5c/1f942470fbc4ecb176f425d1772a691a1ad246 2025-06-05T18:58:35.5393060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/5c 2025-06-05T18:58:35.5393350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/info 2025-06-05T18:58:35.5393730Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/a0/c7f582b7a453ce0ed826a1ed8287c696416ac2 2025-06-05T18:58:35.5397320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/a0 2025-06-05T18:58:35.5397750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/a7/57a5f6f0f3235b11c80d5c406ad8be4609a215 2025-06-05T18:58:35.5398100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/a7 2025-06-05T18:58:35.5398510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/objects/b1/08cb5f4df5c13334ddf5d3d160537fb2c0ce4b 2025-06-05T18:58:35.5398780Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/pre-commit.sample 2025-06-05T18:58:35.5492050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5492410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5492780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/pre-receive.sample 2025-06-05T18:58:35.5493120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5493450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/post-update.sample 2025-06-05T18:58:35.5493780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5494120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5494430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/pre-push.sample 2025-06-05T18:58:35.5494810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/hooks/update.sample 2025-06-05T18:58:35.5495140Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/6c/18aef72f875b83ed1e79ca1767af4cad5ec431 2025-06-05T18:58:35.5568280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/6c 2025-06-05T18:58:35.5568700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/39/e9ecc2854fb480daebd2578c1f10bfbb7b31eb 2025-06-05T18:58:35.5569010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/39 2025-06-05T18:58:35.5569420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/0a/81f993bd894a2539d07720f72ec175c7e0a83b 2025-06-05T18:58:35.5569730Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/ba/5f37a39092775cbb00f4e5ef203993f6c17b9b 2025-06-05T18:58:35.5572010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/ba 2025-06-05T18:58:35.5572420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/a7/4a433bdb4bb96f56de7fb91748250a9f565a3a 2025-06-05T18:58:35.5572810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/a7 2025-06-05T18:58:35.5573220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/objects/db/35dca8c32c0e367231c093a4ee390db84d969f 2025-06-05T18:58:35.5573570Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs/heads/experimental 2025-06-05T18:58:35.5588330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs/heads 2025-06-05T18:58:35.5588750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5589110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs/remotes/origin 2025-06-05T18:58:35.5589450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs/remotes 2025-06-05T18:58:35.5589750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs/refs 2025-06-05T18:58:35.5590040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/logs 2025-06-05T18:58:35.5590330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/description 2025-06-05T18:58:35.5590670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/commit-msg.sample 2025-06-05T18:58:35.5591010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-rebase.sample 2025-06-05T18:58:35.5591340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-commit.sample 2025-06-05T18:58:35.5591730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5592090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5592430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-receive.sample 2025-06-05T18:58:35.5592780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5593120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/post-update.sample 2025-06-05T18:58:35.5593470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5593810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5594140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/pre-push.sample 2025-06-05T18:58:35.5594660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/update.sample 2025-06-05T18:58:35.5595040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5595330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/hooks 2025-06-05T18:58:35.5595710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/refs/heads/experimental/tf28_compat 2025-06-05T18:58:35.5596050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/refs/heads/experimental 2025-06-05T18:58:35.5596360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/refs/heads 2025-06-05T18:58:35.5596660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/refs/tags 2025-06-05T18:58:35.5597040Z 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2025-06-05T18:58:35.5598920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/config 2025-06-05T18:58:35.5599300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/shallow 2025-06-05T18:58:35.5599870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/pack/pack-7562e6e22417ce6b8472b8fb12e4f5561b6a92d2.pack 2025-06-05T18:58:35.5600390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/pack/pack-7562e6e22417ce6b8472b8fb12e4f5561b6a92d2.idx 2025-06-05T18:58:35.5600910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/pack/pack-963a4acfe93391745697bd689767f1ba709359fa.idx 2025-06-05T18:58:35.5601500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/pack/pack-963a4acfe93391745697bd689767f1ba709359fa.pack 2025-06-05T18:58:35.5601910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/pack 2025-06-05T18:58:35.5602320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects/info 2025-06-05T18:58:35.5602710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/objects 2025-06-05T18:58:35.5603110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/HEAD 2025-06-05T18:58:35.5637890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/info/exclude 2025-06-05T18:58:35.5638300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/info 2025-06-05T18:58:35.5638700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/HEAD 2025-06-05T18:58:35.5639140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs/heads/master 2025-06-05T18:58:35.5645700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs/heads 2025-06-05T18:58:35.5646160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5646660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs/remotes/origin 2025-06-05T18:58:35.5647080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs/remotes 2025-06-05T18:58:35.5647480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs/refs 2025-06-05T18:58:35.5647940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/logs 2025-06-05T18:58:35.5648340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/description 2025-06-05T18:58:35.5648850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/commit-msg.sample 2025-06-05T18:58:35.5649290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-rebase.sample 2025-06-05T18:58:35.5649720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-commit.sample 2025-06-05T18:58:35.5650170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5650620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5651060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-receive.sample 2025-06-05T18:58:35.5651510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5651960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/post-update.sample 2025-06-05T18:58:35.5652440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5652880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5653310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/pre-push.sample 2025-06-05T18:58:35.5653730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/update.sample 2025-06-05T18:58:35.5654180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5654650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/hooks 2025-06-05T18:58:35.5655080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/heads/master 2025-06-05T18:58:35.5655480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/heads 2025-06-05T18:58:35.5655870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/tags 2025-06-05T18:58:35.5656300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5656720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/remotes/origin 2025-06-05T18:58:35.5657120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs/remotes 2025-06-05T18:58:35.5657550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/refs 2025-06-05T18:58:35.5657940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/index 2025-06-05T18:58:35.5658340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/packed-refs 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib 2025-06-05T18:58:35.5660700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/config 2025-06-05T18:58:35.5661000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/shallow 2025-06-05T18:58:35.5661420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/32/7a89752974d592191c7c89474f617e29d76c68 2025-06-05T18:58:35.5661730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/32 2025-06-05T18:58:35.5662150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/3d/0c95fb32c26ad6dcd67d3e4756efdc77c6e354 2025-06-05T18:58:35.5662630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/3d/d5c226a51ac521098fe01fa1de3301d0b9f829 2025-06-05T18:58:35.5662940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/3d 2025-06-05T18:58:35.5663390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/ae/ec47a547e9c56be6eb8c6eb76c071e163a6a62 2025-06-05T18:58:35.5663710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/ae 2025-06-05T18:58:35.5667960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/pack/pack-9a246090d47986912cfb939704b94c6069d126e6.pack 2025-06-05T18:58:35.5668420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/pack/pack-9a246090d47986912cfb939704b94c6069d126e6.idx 2025-06-05T18:58:35.5668750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/pack 2025-06-05T18:58:35.5669170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/29/c6ce4548a440c53f4ad7693a1925edb83db989 2025-06-05T18:58:35.5669560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/29 2025-06-05T18:58:35.5669980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/7b/f44c54527e718b99d588ce520cf2f96343adb1 2025-06-05T18:58:35.5670290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/7b 2025-06-05T18:58:35.5670710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/09/8320c00f6406dcdc8e58c3e185f0514bb2443b 2025-06-05T18:58:35.5671020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/09 2025-06-05T18:58:35.5671340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/info 2025-06-05T18:58:35.5671760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/cd/499580439335899d18529b1b03cc15d5cdcb01 2025-06-05T18:58:35.5672070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/cd 2025-06-05T18:58:35.5672510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/1e/71791b8259d213b8faaedb75c0cb765d61e453 2025-06-05T18:58:35.5672820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/1e 2025-06-05T18:58:35.5673240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/24/e8949dc68bd26bf147a556d48fcc220eb06145 2025-06-05T18:58:35.5673560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/24 2025-06-05T18:58:35.5673970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/78/fd43de9f40a625616e57689c2082ed84e88029 2025-06-05T18:58:35.5674280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/78 2025-06-05T18:58:35.5674770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/13/f7726ba8c3792dbedebec4778b51727dde6889 2025-06-05T18:58:35.5675090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects/13 2025-06-05T18:58:35.5675420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/objects 2025-06-05T18:58:35.5675720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/HEAD 2025-06-05T18:58:35.5676040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/info/exclude 2025-06-05T18:58:35.5676340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/info 2025-06-05T18:58:35.5676650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/HEAD 2025-06-05T18:58:35.5676990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs/heads/main 2025-06-05T18:58:35.5677370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs/heads 2025-06-05T18:58:35.5677740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5678090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs/remotes/origin 2025-06-05T18:58:35.5678430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs/remotes 2025-06-05T18:58:35.5678740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs/refs 2025-06-05T18:58:35.5679040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/logs 2025-06-05T18:58:35.5679350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/description 2025-06-05T18:58:35.5679700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/commit-msg.sample 2025-06-05T18:58:35.5680050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-rebase.sample 2025-06-05T18:58:35.5680400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-commit.sample 2025-06-05T18:58:35.5680800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5681170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5681530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-receive.sample 2025-06-05T18:58:35.5681900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5682260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/post-update.sample 2025-06-05T18:58:35.5682690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5683060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5683420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/pre-push.sample 2025-06-05T18:58:35.5683760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/update.sample 2025-06-05T18:58:35.5684110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5684400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/hooks 2025-06-05T18:58:35.5684730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/heads/main 2025-06-05T18:58:35.5685030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/heads 2025-06-05T18:58:35.5685410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/tags/25.05 2025-06-05T18:58:35.5685770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/tags/25.05-rc2 2025-06-05T18:58:35.5686070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/tags 2025-06-05T18:58:35.5686410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5686730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/remotes/origin 2025-06-05T18:58:35.5722460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs/remotes 2025-06-05T18:58:35.5722800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/refs 2025-06-05T18:58:35.5723120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/index 2025-06-05T18:58:35.5723450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/packed-refs 2025-06-05T18:58:35.5723780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/FETCH_HEAD 2025-06-05T18:58:35.5724120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver 2025-06-05T18:58:35.5724370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party 2025-06-05T18:58:35.5724580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm 2025-06-05T18:58:35.5724840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config 2025-06-05T18:58:35.5725110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/shallow 2025-06-05T18:58:35.5725500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/9b/eaa7cbaf2f25b1601613e99b0b2ee35b59bf7e 2025-06-05T18:58:35.5725770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/9b 2025-06-05T18:58:35.5726270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/02/f5e020b74cee4250ddcc123dd13f3fbbb4f5f4 2025-06-05T18:58:35.5726540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/02 2025-06-05T18:58:35.5726940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/e5/0f456e8605fb3ca5db52b39dae61831bba8d10 2025-06-05T18:58:35.5727210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/e5 2025-06-05T18:58:35.5727590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/ee/1e156dc045387ba2891ed455d75a40c257d7a6 2025-06-05T18:58:35.5727860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/ee 2025-06-05T18:58:35.5728240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/ec/35f7f083c7f72929bcba6fe146c27f98212fb5 2025-06-05T18:58:35.5728500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/ec 2025-06-05T18:58:35.5729020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/pack/pack-989131c326f2fbe94ab0e742cd94f2f049b6a58a.idx 2025-06-05T18:58:35.5729450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/pack/pack-989131c326f2fbe94ab0e742cd94f2f049b6a58a.pack 2025-06-05T18:58:35.5729730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/pack 2025-06-05T18:58:35.5730110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/73/682a233df9ad7733d3e4e1c69245fbcd31ffb1 2025-06-05T18:58:35.5730380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/73 2025-06-05T18:58:35.5730760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/4c/087ad765f853c5b3742d2d3b04cf2491beab39 2025-06-05T18:58:35.5731030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/4c 2025-06-05T18:58:35.5731410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/6e/776fbf4cd39b0e0de0bb3633e70eb72065dec9 2025-06-05T18:58:35.5731660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/6e 2025-06-05T18:58:35.5731990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/info 2025-06-05T18:58:35.5732360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/f1/d0566cf52864ce8390f271f37319555330782f 2025-06-05T18:58:35.5732620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/f1 2025-06-05T18:58:35.5732980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/4a/145825b0349163315ee173e2f02dcf918b503b 2025-06-05T18:58:35.5733230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/4a 2025-06-05T18:58:35.5733600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/15/886fe56344bf0ba07f806a2220c9f06b37ef46 2025-06-05T18:58:35.5733920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/15 2025-06-05T18:58:35.5734280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/12/046cd47ab76fb71647147127a2300339d7ac3a 2025-06-05T18:58:35.5734540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/12 2025-06-05T18:58:35.5734930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/1d/b37fc79d0d59638cbb794fa49d878aafc24461 2025-06-05T18:58:35.5735190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/1d 2025-06-05T18:58:35.5735560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/22/2659990e7e539f35b3aed26ec6e6696b786343 2025-06-05T18:58:35.5735820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects/22 2025-06-05T18:58:35.5736070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/objects 2025-06-05T18:58:35.5736310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/HEAD 2025-06-05T18:58:35.5736620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/info/exclude 2025-06-05T18:58:35.5736870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/info 2025-06-05T18:58:35.5737240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/HEAD 2025-06-05T18:58:35.5737540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs/heads/main 2025-06-05T18:58:35.5737840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs/heads 2025-06-05T18:58:35.5738170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5738480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs/remotes/origin 2025-06-05T18:58:35.5738760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs/remotes 2025-06-05T18:58:35.5739030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs/refs 2025-06-05T18:58:35.5739280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/logs 2025-06-05T18:58:35.5739580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/description 2025-06-05T18:58:35.5739890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/commit-msg.sample 2025-06-05T18:58:35.5740200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-rebase.sample 2025-06-05T18:58:35.5740510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-commit.sample 2025-06-05T18:58:35.5740830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5741160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5741460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-receive.sample 2025-06-05T18:58:35.5741840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5742140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/post-update.sample 2025-06-05T18:58:35.5742470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5742790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5743080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/pre-push.sample 2025-06-05T18:58:35.5743360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/update.sample 2025-06-05T18:58:35.5743680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5743920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/hooks 2025-06-05T18:58:35.5744200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/heads/main 2025-06-05T18:58:35.5744510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/heads 2025-06-05T18:58:35.5744760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/tags 2025-06-05T18:58:35.5745070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5745360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/remotes/origin 2025-06-05T18:58:35.5745620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs/remotes 2025-06-05T18:58:35.5745860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/refs 2025-06-05T18:58:35.5746110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/index 2025-06-05T18:58:35.5746370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/packed-refs 2025-06-05T18:58:35.5746630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/FETCH_HEAD 2025-06-05T18:58:35.5746860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO 2025-06-05T18:58:35.5747100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils 2025-06-05T18:58:35.5747300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence 2025-06-05T18:58:35.5747590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends 2025-06-05T18:58:35.5747840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config 2025-06-05T18:58:35.5748090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/shallow 2025-06-05T18:58:35.5748450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/69/d590b97d7dc80b51ac3495c2d91ee5873240ad 2025-06-05T18:58:35.5748700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/69 2025-06-05T18:58:35.5749120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/9c/1900927569b4262bfa2bf59454cd8ef13ab20d 2025-06-05T18:58:35.5749370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/9c 2025-06-05T18:58:35.5749740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/02/62610db6a8b9e278252ec88d98296e655d2221 2025-06-05T18:58:35.5749990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/02 2025-06-05T18:58:35.5750340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/bd/82d2aaf849c37256e4f146c101f247ebcc1adf 2025-06-05T18:58:35.5750580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/bd 2025-06-05T18:58:35.5750950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/f5/26c35d46d498f53cf00b606806c311703e8545 2025-06-05T18:58:35.5751190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/f5 2025-06-05T18:58:35.5751570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/pack/pack-abfc8d0fd6b5cfb288da7ba34d6b72b7a71c6afa.idx 2025-06-05T18:58:35.5752050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/pack/pack-abfc8d0fd6b5cfb288da7ba34d6b72b7a71c6afa.pack 2025-06-05T18:58:35.5752300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/pack 2025-06-05T18:58:35.5752640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/11/64316871594254203dc62d1f5525bea1016c7f 2025-06-05T18:58:35.5752880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/11 2025-06-05T18:58:35.5753220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/89/8a63148d40efc5c756b5e9bea8599b8c1e30dd 2025-06-05T18:58:35.5753460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/89 2025-06-05T18:58:35.5753800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/73/804037718f79f568d226fcf2187065e11ea935 2025-06-05T18:58:35.5754040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/73 2025-06-05T18:58:35.5754280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/info 2025-06-05T18:58:35.5754620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/37/9014166243560bd8f170dcf5aabf2dfbe93a1e 2025-06-05T18:58:35.5754880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/37 2025-06-05T18:58:35.5755210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/06/465b27698424cf4a04a5ca4904d50a3c966c45 2025-06-05T18:58:35.5755460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/06 2025-06-05T18:58:35.5755800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/bf/720c6ed96bab550b36b14fbdb7ef4cbe056c74 2025-06-05T18:58:35.5756040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/bf 2025-06-05T18:58:35.5756500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/1e/3e18d68d2c974050defc50a5e351100aa98c3c 2025-06-05T18:58:35.5756810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/1e 2025-06-05T18:58:35.5757170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/15/3b3618c84eaec0317f81f4ee56ee266a588680 2025-06-05T18:58:35.5757440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects/15 2025-06-05T18:58:35.5757680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/objects 2025-06-05T18:58:35.5757920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/HEAD 2025-06-05T18:58:35.5758180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/info/exclude 2025-06-05T18:58:35.5758410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/info 2025-06-05T18:58:35.5758660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/HEAD 2025-06-05T18:58:35.5758940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs/heads/master 2025-06-05T18:58:35.5759200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs/heads 2025-06-05T18:58:35.5759560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5822260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs/remotes/origin 2025-06-05T18:58:35.5822560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs/remotes 2025-06-05T18:58:35.5822820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs/refs 2025-06-05T18:58:35.5823060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/logs 2025-06-05T18:58:35.5823320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/description 2025-06-05T18:58:35.5823620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/commit-msg.sample 2025-06-05T18:58:35.5823920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-rebase.sample 2025-06-05T18:58:35.5824210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-commit.sample 2025-06-05T18:58:35.5824510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5824870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5825160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-receive.sample 2025-06-05T18:58:35.5825470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5825760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/post-update.sample 2025-06-05T18:58:35.5826070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5826360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5826710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/pre-push.sample 2025-06-05T18:58:35.5826990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/update.sample 2025-06-05T18:58:35.5827290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5827590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/hooks 2025-06-05T18:58:35.5827860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/heads/master 2025-06-05T18:58:35.5828110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/heads 2025-06-05T18:58:35.5828360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/tags 2025-06-05T18:58:35.5828650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5828920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/remotes/origin 2025-06-05T18:58:35.5829180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs/remotes 2025-06-05T18:58:35.5829480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/refs 2025-06-05T18:58:35.5829720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/index 2025-06-05T18:58:35.5829970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/packed-refs 2025-06-05T18:58:35.5830230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/FETCH_HEAD 2025-06-05T18:58:35.5830440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake 2025-06-05T18:58:35.5830670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config 2025-06-05T18:58:35.5830900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/shallow 2025-06-05T18:58:35.5831280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/objects/pack/pack-2b6364d2f340d3052415dce5588139dc145d6581.pack 2025-06-05T18:58:35.5831660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/objects/pack/pack-0081380f3fd3de14daacf237449061f72b1576a4.idx 2025-06-05T18:58:35.5832040Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/logs/refs/remotes/origin 2025-06-05T18:58:35.5835500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/logs/refs/remotes 2025-06-05T18:58:35.5835780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/logs/refs 2025-06-05T18:58:35.5836020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/logs 2025-06-05T18:58:35.5836280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/description 2025-06-05T18:58:35.5836570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/commit-msg.sample 2025-06-05T18:58:35.5836910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-rebase.sample 2025-06-05T18:58:35.5837190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-commit.sample 2025-06-05T18:58:35.5837490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5837800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5838090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-receive.sample 2025-06-05T18:58:35.5838400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5838680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/post-update.sample 2025-06-05T18:58:35.5838980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5839280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5839550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/pre-push.sample 2025-06-05T18:58:35.5839860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/update.sample 2025-06-05T18:58:35.5840160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5840400Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/refs/remotes/origin 2025-06-05T18:58:35.5842390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/refs/remotes 2025-06-05T18:58:35.5842630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/refs 2025-06-05T18:58:35.5842860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/index 2025-06-05T18:58:35.5843110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/packed-refs 2025-06-05T18:58:35.5843350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/FETCH_HEAD 2025-06-05T18:58:35.5843570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11 2025-06-05T18:58:35.5843800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config 2025-06-05T18:58:35.5844040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/shallow 2025-06-05T18:58:35.5844450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/59/727b65168fc65550031f146addc136910930da 2025-06-05T18:58:35.5844700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/59 2025-06-05T18:58:35.5845050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/69/c5b2c93876aad8483b3e2330ddebed3c505299 2025-06-05T18:58:35.5845290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/69 2025-06-05T18:58:35.5845640Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/ae/892c5f3151a11839ff6385f891e666a4c49ba2 2025-06-05T18:58:35.5847660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/ae 2025-06-05T18:58:35.5848000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/eb/19b64b0cfcb62cdcf51c671618d72cbda84047 2025-06-05T18:58:35.5848240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/eb 2025-06-05T18:58:35.5848590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/c9/537704d6dbf4883b745c0b22cdb64e763f30fd 2025-06-05T18:58:35.5848820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/c9 2025-06-05T18:58:35.5849260Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/pack/pack-3cbcd0d8795b1a84f98c0502c0e9200ec9cc2e83.idx 2025-06-05T18:58:35.5851470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/pack/pack-3cbcd0d8795b1a84f98c0502c0e9200ec9cc2e83.pack 2025-06-05T18:58:35.5851700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/pack 2025-06-05T18:58:35.5852090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/7c/2f53e6e7fc7509afff8395d500d2085941ac69 2025-06-05T18:58:35.5852320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/7c 2025-06-05T18:58:35.5852650Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/6d/e0f21667e2738e7f49b0abecd77deb2e44cb4d 2025-06-05T18:58:35.5856440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/6d/4585b46493e53433918fa1adac140d3224d96a 2025-06-05T18:58:35.5856730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/6d 2025-06-05T18:58:35.5857190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/d5/22fed1b2dedb5a488926e7865a61014751538e 2025-06-05T18:58:35.5857430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/d5 2025-06-05T18:58:35.5857850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/e1/939aca42b7245571487f8773ef544cb7602619 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/ff/a105db8fe83e1b01048ccc8ffd4f6855964fcd 2025-06-05T18:58:35.5903710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/ff 2025-06-05T18:58:35.5904070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/cb/b5dac77bf529a98c48a682abc306971510fe9a 2025-06-05T18:58:35.5904320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/cb 2025-06-05T18:58:35.5904670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/4a/21e51e12d6613a65d2dbf61e38b69e6848acbc 2025-06-05T18:58:35.5904920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/4a 2025-06-05T18:58:35.5905260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/12/4f7fe1666b8788fea0edc6c8118efc2b9e8d7b 2025-06-05T18:58:35.5905500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/12 2025-06-05T18:58:35.5905850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/76/4fdcbfcfd888d8db4577d1620604d4e031d0f0 2025-06-05T18:58:35.5906120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/76 2025-06-05T18:58:35.5906460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/2b/42bf8786685fc4b0cd79034d23f021b4ee0660 2025-06-05T18:58:35.5906700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/objects/2b 2025-06-05T18:58:35.5906930Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5909050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/logs/refs/remotes/origin 2025-06-05T18:58:35.5909310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/logs/refs/remotes 2025-06-05T18:58:35.5909550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/logs/refs 2025-06-05T18:58:35.5909780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/logs 2025-06-05T18:58:35.5910020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/description 2025-06-05T18:58:35.5910300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/commit-msg.sample 2025-06-05T18:58:35.5910630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-rebase.sample 2025-06-05T18:58:35.5910900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-commit.sample 2025-06-05T18:58:35.5911200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5911500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5911780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-receive.sample 2025-06-05T18:58:35.5912080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5912370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/post-update.sample 2025-06-05T18:58:35.5912660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5912950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5913230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/pre-push.sample 2025-06-05T18:58:35.5913520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/update.sample 2025-06-05T18:58:35.5913820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5914040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/hooks 2025-06-05T18:58:35.5914310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/heads/master 2025-06-05T18:58:35.5914550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/heads 2025-06-05T18:58:35.5914790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/tags 2025-06-05T18:58:35.5915070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5915410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/remotes/origin 2025-06-05T18:58:35.5915650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs/remotes 2025-06-05T18:58:35.5915870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/refs 2025-06-05T18:58:35.5916130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/index 2025-06-05T18:58:35.5916370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/packed-refs 2025-06-05T18:58:35.5916610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/FETCH_HEAD 2025-06-05T18:58:35.5916830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc 2025-06-05T18:58:35.5917070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config 2025-06-05T18:58:35.5917310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/shallow 2025-06-05T18:58:35.5917710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/objects/pack/pack-6806a18abcebea60a05812dd95c4e042ec3f95f6.pack 2025-06-05T18:58:35.5918180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/objects/pack/pack-6806a18abcebea60a05812dd95c4e042ec3f95f6.idx 2025-06-05T18:58:35.5918440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/objects/pack 2025-06-05T18:58:35.5918700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/objects/info 2025-06-05T18:58:35.5918940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/objects 2025-06-05T18:58:35.5919180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/HEAD 2025-06-05T18:58:35.5919430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/info/exclude 2025-06-05T18:58:35.5919660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/info 2025-06-05T18:58:35.5919910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/HEAD 2025-06-05T18:58:35.5920190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs/heads/cpp 2025-06-05T18:58:35.5920450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs/heads 2025-06-05T18:58:35.5920780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5921070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs/remotes/origin 2025-06-05T18:58:35.5921330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs/remotes 2025-06-05T18:58:35.5921580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs/refs 2025-06-05T18:58:35.5921820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/logs 2025-06-05T18:58:35.5922070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/description 2025-06-05T18:58:35.5922360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/commit-msg.sample 2025-06-05T18:58:35.5922710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-rebase.sample 2025-06-05T18:58:35.5923000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-commit.sample 2025-06-05T18:58:35.5923300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/applypatch-msg.sample 2025-06-05T18:58:35.5923630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.5923920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-receive.sample 2025-06-05T18:58:35.5924230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.5924520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/post-update.sample 2025-06-05T18:58:35.5924820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.5925110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-applypatch.sample 2025-06-05T18:58:35.5925430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/pre-push.sample 2025-06-05T18:58:35.5925700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/update.sample 2025-06-05T18:58:35.5926000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks/push-to-checkout.sample 2025-06-05T18:58:35.5926230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/hooks 2025-06-05T18:58:35.5926480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/heads/cpp 2025-06-05T18:58:35.5926720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/heads 2025-06-05T18:58:35.5926960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/tags 2025-06-05T18:58:35.5927240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/remotes/origin/HEAD 2025-06-05T18:58:35.5927500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/remotes/origin 2025-06-05T18:58:35.5927740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs/remotes 2025-06-05T18:58:35.5927970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/refs 2025-06-05T18:58:35.5928240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/index 2025-06-05T18:58:35.5928490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/packed-refs 2025-06-05T18:58:35.5928700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft 2025-06-05T18:58:35.5928930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config 2025-06-05T18:58:35.5929150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/shallow 2025-06-05T18:58:35.5929490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/61/90b253274ea76d734644a9394cf316a204d988 2025-06-05T18:58:35.5929720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/61 2025-06-05T18:58:35.5930200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/92/28ff6ea1b3074a441f01988a065999a268f66d 2025-06-05T18:58:35.5930450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/92 2025-06-05T18:58:35.5930840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/3d/952a88ea0de789484857f5311536bd0a894b2b 2025-06-05T18:58:35.5931100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/3d 2025-06-05T18:58:35.5931430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/b5/7c8538d61b5b38147b3c81dd20c7c06ab0c4cc 2025-06-05T18:58:35.5931660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/b5 2025-06-05T18:58:35.5932000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/b2/7e5fda11440a2881a3a16fff4240b6e4d53d9c 2025-06-05T18:58:35.5932230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/b2 2025-06-05T18:58:35.5932560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/d0/0b07d07dc5dec7c71adc3465d8124c94ba2c68 2025-06-05T18:58:35.5932860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/d0 2025-06-05T18:58:35.5933230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a5/110e55594c46cb291e9a7aeaaea747a50e9bbd 2025-06-05T18:58:35.5933460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a5 2025-06-05T18:58:35.5933800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/ae/025eb6038077323bc079314e9c42876c9f444b 2025-06-05T18:58:35.5934030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/ae 2025-06-05T18:58:35.5934360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/ec/dd4658dc1fc7f860677d192a21a0af0a23cda7 2025-06-05T18:58:35.5934590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/ec 2025-06-05T18:58:35.5934970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/pack/pack-2108bdff2d5cabaf9bb25fbd416b3c561100e69f.idx 2025-06-05T18:58:35.5935350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/pack/pack-2108bdff2d5cabaf9bb25fbd416b3c561100e69f.pack 2025-06-05T18:58:35.5935590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/pack 2025-06-05T18:58:35.5935970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/80/ffd4954bd9e7500446295d89477ff9d6c037cd 2025-06-05T18:58:35.5936280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/80 2025-06-05T18:58:35.5936630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/17/aa507d91de5e3dd1ecc4f58be4f2c736566154 2025-06-05T18:58:35.5936880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/17 2025-06-05T18:58:35.5937230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/10/f8c6fc590700a075fc07d6b8f42d587802bb72 2025-06-05T18:58:35.5937460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/10 2025-06-05T18:58:35.5937840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/4c/d1e69702a3b6e44659faf969280e6f1806f93a 2025-06-05T18:58:35.5938070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/4c 2025-06-05T18:58:35.5938400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/09/89c7c852c9c35a2ce37681fadcc3058b10920b 2025-06-05T18:58:35.5938690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/09 2025-06-05T18:58:35.5938930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/info 2025-06-05T18:58:35.5939260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/39/09d0ce03e48474c921f91cd379cabbfd85f16c 2025-06-05T18:58:35.5939490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/39 2025-06-05T18:58:35.5990260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a7/38fdf9338412f83ab3f26f31ac11ed3f3ec4bd 2025-06-05T18:58:35.5990530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a7 2025-06-05T18:58:35.5990960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/db/05303ed28efa7e7e27d9c7a61457b734b7cdf0 2025-06-05T18:58:35.5991210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/db 2025-06-05T18:58:35.5991570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a6/1e2bf2d973937fae6343f370d13c0b20fd4d88 2025-06-05T18:58:35.5991820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/a6 2025-06-05T18:58:35.5992180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/objects/4f/7bb782433591ddcc5f31eea8d7fa3c19e72ef7 2025-06-05T18:58:35.5992420Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/logs 2025-06-05T18:58:35.6076840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/description 2025-06-05T18:58:35.6077130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/commit-msg.sample 2025-06-05T18:58:35.6077400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-rebase.sample 2025-06-05T18:58:35.6077690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-commit.sample 2025-06-05T18:58:35.6078090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6078400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6078690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-receive.sample 2025-06-05T18:58:35.6079000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6079280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/post-update.sample 2025-06-05T18:58:35.6079580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6079880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6080150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/pre-push.sample 2025-06-05T18:58:35.6080410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/update.sample 2025-06-05T18:58:35.6080700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6080980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/hooks 2025-06-05T18:58:35.6081240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/refs/heads/develop 2025-06-05T18:58:35.6081470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/refs/heads 2025-06-05T18:58:35.6081710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/refs/tags 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/b9/692c8edba99d0e44576959f2ab83214f3b9205 2025-06-05T18:58:35.6101510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/b9 2025-06-05T18:58:35.6101830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/f6/a9bb311ba1d94f723642aaa5732343542c18b9 2025-06-05T18:58:35.6102050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/f6 2025-06-05T18:58:35.6102370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/79/115ed3f993e3aa8565dad32343575c34bca283 2025-06-05T18:58:35.6102590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/79 2025-06-05T18:58:35.6102920Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/24/048cdd8d3b9fee43a5e073648762e4b9133fe0 2025-06-05T18:58:35.6104800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/24 2025-06-05T18:58:35.6105190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/1c/840f7ec489d437bc3bf87faed98fd4a5de97ee 2025-06-05T18:58:35.6105420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/1c 2025-06-05T18:58:35.6105750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/13/af29d8bf56df661b99f19f0fd488232fba4c84 2025-06-05T18:58:35.6106010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects/13 2025-06-05T18:58:35.6106250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/objects 2025-06-05T18:58:35.6106460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/HEAD 2025-06-05T18:58:35.6106690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/info/exclude 2025-06-05T18:58:35.6106900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/info 2025-06-05T18:58:35.6107120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/HEAD 2025-06-05T18:58:35.6107370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs/heads/main 2025-06-05T18:58:35.6107610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs/heads 2025-06-05T18:58:35.6107940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6108200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs/remotes/origin 2025-06-05T18:58:35.6108440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs/remotes 2025-06-05T18:58:35.6108670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs/refs 2025-06-05T18:58:35.6108870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/logs 2025-06-05T18:58:35.6109100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/description 2025-06-05T18:58:35.6109360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/commit-msg.sample 2025-06-05T18:58:35.6109610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-rebase.sample 2025-06-05T18:58:35.6109870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-commit.sample 2025-06-05T18:58:35.6110140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6110450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6110710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-receive.sample 2025-06-05T18:58:35.6110990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6111250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/post-update.sample 2025-06-05T18:58:35.6111520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6111790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6112050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/pre-push.sample 2025-06-05T18:58:35.6112360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/update.sample 2025-06-05T18:58:35.6112650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6112870Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/logs 2025-06-05T18:58:35.6171410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/description 2025-06-05T18:58:35.6171760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/commit-msg.sample 2025-06-05T18:58:35.6172150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-rebase.sample 2025-06-05T18:58:35.6172510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-commit.sample 2025-06-05T18:58:35.6172870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6173240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6173580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-receive.sample 2025-06-05T18:58:35.6173950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6174290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/post-update.sample 2025-06-05T18:58:35.6174650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6175010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6175370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/pre-push.sample 2025-06-05T18:58:35.6175730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/update.sample 2025-06-05T18:58:35.6176090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6176380Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/pack/pack-351099f80a51d5aee4432acd804a11b374592d76.idx 2025-06-05T18:58:35.6182100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/pack/pack-6201fc198e32eaaa8f7861374f5f16a3370c9c6e.pack 2025-06-05T18:58:35.6182490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/pack/pack-351099f80a51d5aee4432acd804a11b374592d76.pack 2025-06-05T18:58:35.6182920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/pack/pack-6201fc198e32eaaa8f7861374f5f16a3370c9c6e.idx 2025-06-05T18:58:35.6183180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/pack 2025-06-05T18:58:35.6183440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects/info 2025-06-05T18:58:35.6183680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/objects 2025-06-05T18:58:35.6183910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/HEAD 2025-06-05T18:58:35.6184170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/info/exclude 2025-06-05T18:58:35.6184410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/info 2025-06-05T18:58:35.6184720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/HEAD 2025-06-05T18:58:35.6185000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs/heads/main 2025-06-05T18:58:35.6185270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs/heads 2025-06-05T18:58:35.6185600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6185890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs/remotes/origin 2025-06-05T18:58:35.6186160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs/remotes 2025-06-05T18:58:35.6186410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs/refs 2025-06-05T18:58:35.6186650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/logs 2025-06-05T18:58:35.6186900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/description 2025-06-05T18:58:35.6187190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/commit-msg.sample 2025-06-05T18:58:35.6187540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-rebase.sample 2025-06-05T18:58:35.6187840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-commit.sample 2025-06-05T18:58:35.6188140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6188460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6188750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-receive.sample 2025-06-05T18:58:35.6189060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6189360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/post-update.sample 2025-06-05T18:58:35.6189670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6189970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6190250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/pre-push.sample 2025-06-05T18:58:35.6190580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/update.sample 2025-06-05T18:58:35.6190890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6191130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/hooks 2025-06-05T18:58:35.6191400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/heads/main 2025-06-05T18:58:35.6191650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/heads 2025-06-05T18:58:35.6191900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/tags 2025-06-05T18:58:35.6192190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6192560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/remotes/origin 2025-06-05T18:58:35.6192820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs/remotes 2025-06-05T18:58:35.6193070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/refs 2025-06-05T18:58:35.6193310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/index 2025-06-05T18:58:35.6193570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/packed-refs 2025-06-05T18:58:35.6193820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/FETCH_HEAD 2025-06-05T18:58:35.6194060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest 2025-06-05T18:58:35.6194300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config 2025-06-05T18:58:35.6194900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/shallow 2025-06-05T18:58:35.6195960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/pack/pack-7562e6e22417ce6b8472b8fb12e4f5561b6a92d2.pack 2025-06-05T18:58:35.6196870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/pack/pack-7562e6e22417ce6b8472b8fb12e4f5561b6a92d2.idx 2025-06-05T18:58:35.6197760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/pack/pack-91e871c512019872dc3120ede1fac65ee468d721.pack 2025-06-05T18:58:35.6198660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/pack/pack-91e871c512019872dc3120ede1fac65ee468d721.idx 2025-06-05T18:58:35.6199410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/pack 2025-06-05T18:58:35.6200000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects/info 2025-06-05T18:58:35.6200630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/objects 2025-06-05T18:58:35.6201200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/HEAD 2025-06-05T18:58:35.6201780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/info/exclude 2025-06-05T18:58:35.6202370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/info 2025-06-05T18:58:35.6203060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/HEAD 2025-06-05T18:58:35.6203680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs/heads/master 2025-06-05T18:58:35.6204280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs/heads 2025-06-05T18:58:35.6204900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6205530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs/remotes/origin 2025-06-05T18:58:35.6206140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs/remotes 2025-06-05T18:58:35.6322960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs/refs 2025-06-05T18:58:35.6323650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/logs 2025-06-05T18:58:35.6324230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/description 2025-06-05T18:58:35.6324920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/commit-msg.sample 2025-06-05T18:58:35.6325570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-rebase.sample 2025-06-05T18:58:35.6326220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-commit.sample 2025-06-05T18:58:35.6326880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6327570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6328240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-receive.sample 2025-06-05T18:58:35.6328910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6329650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/post-update.sample 2025-06-05T18:58:35.6330320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6330990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6331680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/pre-push.sample 2025-06-05T18:58:35.6332310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/update.sample 2025-06-05T18:58:35.6332960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6333580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/hooks 2025-06-05T18:58:35.6334150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/heads/master 2025-06-05T18:58:35.6334750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/heads 2025-06-05T18:58:35.6335320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/tags 2025-06-05T18:58:35.6335980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6336620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/remotes/origin 2025-06-05T18:58:35.6337220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs/remotes 2025-06-05T18:58:35.6337780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/refs 2025-06-05T18:58:35.6338330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/index 2025-06-05T18:58:35.6338890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/packed-refs 2025-06-05T18:58:35.6339470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/FETCH_HEAD 2025-06-05T18:58:35.6340080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers 2025-06-05T18:58:35.6340600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config 2025-06-05T18:58:35.6341130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/shallow 2025-06-05T18:58:35.6341850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/pack/pack-990fbd9f0a98d4e453238cb8102d98e5bac3feb4.idx 2025-06-05T18:58:35.6342700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/pack/pack-253fb6a8feba442d91c751f1c0412e3a192abbde.pack 2025-06-05T18:58:35.6343550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/pack/pack-990fbd9f0a98d4e453238cb8102d98e5bac3feb4.pack 2025-06-05T18:58:35.6344400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/pack/pack-253fb6a8feba442d91c751f1c0412e3a192abbde.idx 2025-06-05T18:58:35.6345100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/pack 2025-06-05T18:58:35.6345660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects/info 2025-06-05T18:58:35.6346260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/objects 2025-06-05T18:58:35.6346790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/HEAD 2025-06-05T18:58:35.6347340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/info/exclude 2025-06-05T18:58:35.6347880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/info 2025-06-05T18:58:35.6348420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/HEAD 2025-06-05T18:58:35.6348990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs/heads/main 2025-06-05T18:58:35.6349590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs/heads 2025-06-05T18:58:35.6350200Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs/remotes/origin/HEAD 2025-06-05T18:58:35.6350890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs/remotes/origin 2025-06-05T18:58:35.6351490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs/remotes 2025-06-05T18:58:35.6352050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs/refs 2025-06-05T18:58:35.6352620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/logs 2025-06-05T18:58:35.6353160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/description 2025-06-05T18:58:35.6353750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/commit-msg.sample 2025-06-05T18:58:35.6354380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-rebase.sample 2025-06-05T18:58:35.6355010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-commit.sample 2025-06-05T18:58:35.6355640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/applypatch-msg.sample 2025-06-05T18:58:35.6356310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/fsmonitor-watchman.sample 2025-06-05T18:58:35.6357040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-receive.sample 2025-06-05T18:58:35.6357690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/prepare-commit-msg.sample 2025-06-05T18:58:35.6358370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/post-update.sample 2025-06-05T18:58:35.6359020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-merge-commit.sample 2025-06-05T18:58:35.6359670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-applypatch.sample 2025-06-05T18:58:35.6360300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/pre-push.sample 2025-06-05T18:58:35.6360910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/update.sample 2025-06-05T18:58:35.6361540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks/push-to-checkout.sample 2025-06-05T18:58:35.6362130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/hooks 2025-06-05T18:58:35.6362760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/refs/heads/main 2025-06-05T18:58:35.6363330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/refs/heads 2025-06-05T18:58:35.6363880Z 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/Users/ec2-user/runner/_work/executorch/executorch/pytorch 2025-06-05T18:58:35.6662390Z /Users/ec2-user/runner/_work/executorch/executorch 2025-06-05T18:58:35.6662940Z ##[endgroup] 2025-06-05T18:58:35.6794930Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-06-05T18:58:35.6795180Z with: 2025-06-05T18:58:35.6795300Z repository: pytorch/test-infra 2025-06-05T18:58:35.6795460Z path: test-infra 2025-06-05T18:58:35.6795640Z token: *** 2025-06-05T18:58:35.6795760Z ssh-strict: true 2025-06-05T18:58:35.6795870Z ssh-user: git 2025-06-05T18:58:35.6796000Z persist-credentials: true 2025-06-05T18:58:35.6796130Z clean: true 2025-06-05T18:58:35.6796260Z sparse-checkout-cone-mode: true 2025-06-05T18:58:35.6796420Z fetch-depth: 1 2025-06-05T18:58:35.6796530Z fetch-tags: false 2025-06-05T18:58:35.6796650Z show-progress: true 2025-06-05T18:58:35.6796770Z lfs: false 2025-06-05T18:58:35.6796880Z submodules: false 2025-06-05T18:58:35.6797000Z set-safe-directory: true 2025-06-05T18:58:35.6797130Z env: 2025-06-05T18:58:35.6797250Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:35.6799100Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:35.6800950Z ##[endgroup] 2025-06-05T18:58:35.7573260Z Syncing repository: pytorch/test-infra 2025-06-05T18:58:35.7573820Z ##[group]Getting Git version info 2025-06-05T18:58:35.7574190Z Working directory is '/Users/ec2-user/runner/_work/executorch/executorch/test-infra' 2025-06-05T18:58:35.7574620Z [command]/usr/bin/git version 2025-06-05T18:58:35.7619240Z git version 2.39.3 (Apple Git-146) 2025-06-05T18:58:35.7632160Z ##[endgroup] 2025-06-05T18:58:35.7636780Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/93252167-09c0-47a2-96f4-1ab3422fb7fc/.gitconfig' 2025-06-05T18:58:35.7642820Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/93252167-09c0-47a2-96f4-1ab3422fb7fc' before making global git config changes 2025-06-05T18:58:35.7643420Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T18:58:35.7646120Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/executorch/executorch/test-infra 2025-06-05T18:58:35.7716770Z ##[group]Initializing the repository 2025-06-05T18:58:35.7719520Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/executorch/executorch/test-infra 2025-06-05T18:58:35.7936970Z Initialized empty Git repository in /Users/ec2-user/runner/_work/executorch/executorch/test-infra/.git/ 2025-06-05T18:58:35.7943840Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2025-06-05T18:58:35.8014270Z ##[endgroup] 2025-06-05T18:58:35.8014580Z ##[group]Disabling automatic garbage collection 2025-06-05T18:58:35.8016620Z [command]/usr/bin/git config --local gc.auto 0 2025-06-05T18:58:35.8077740Z ##[endgroup] 2025-06-05T18:58:35.8077930Z ##[group]Setting up auth 2025-06-05T18:58:35.8082020Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T18:58:35.8142080Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-06-05T18:58:35.8627990Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T18:58:35.8687620Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-06-05T18:58:35.9174920Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T18:58:35.9242300Z ##[endgroup] 2025-06-05T18:58:35.9242600Z ##[group]Determining the default branch 2025-06-05T18:58:35.9243840Z Retrieving the default branch name 2025-06-05T18:58:36.1793390Z Default branch 'main' 2025-06-05T18:58:36.1794680Z ##[endgroup] 2025-06-05T18:58:36.1795410Z ##[group]Fetching the repository 2025-06-05T18:58:36.1797320Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main 2025-06-05T18:58:36.6270000Z From https://github.com/pytorch/test-infra 2025-06-05T18:58:36.6270280Z * [new branch] main -> origin/main 2025-06-05T18:58:36.6305450Z ##[endgroup] 2025-06-05T18:58:36.6305720Z ##[group]Determining the checkout info 2025-06-05T18:58:36.6306040Z ##[endgroup] 2025-06-05T18:58:36.6309200Z [command]/usr/bin/git sparse-checkout disable 2025-06-05T18:58:36.6407230Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-06-05T18:58:36.6465960Z ##[group]Checking out the ref 2025-06-05T18:58:36.6467690Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2025-06-05T18:58:36.7599580Z Reset branch 'main' 2025-06-05T18:58:36.7599760Z branch 'main' set up to track 'origin/main'. 2025-06-05T18:58:36.7604230Z ##[endgroup] 2025-06-05T18:58:36.7677770Z [command]/usr/bin/git log -1 --format=%H 2025-06-05T18:58:36.7740730Z 6e118f65c0940292c26a7cfe757d14c76eedbdf7 2025-06-05T18:58:36.7908020Z Prepare all required actions 2025-06-05T18:58:36.7908300Z Getting action download info 2025-06-05T18:58:36.9088670Z Download action repository 'actions/cache@v3' (SHA:2f8e54208210a422b2efd51efaa6bd6d7ca8920f) 2025-06-05T18:58:37.1552120Z ##[group]Run ./test-infra/.github/actions/setup-miniconda 2025-06-05T18:58:37.1552370Z with: 2025-06-05T18:58:37.1552490Z python-version: 3.11 2025-06-05T18:58:37.1552650Z miniconda-version: 24.7.1-0 2025-06-05T18:58:37.1552900Z default-packages: cmake=3.22 ninja=1.10 pkg-config=0.29 wheel=0.37 2025-06-05T18:58:37.1553120Z env: 2025-06-05T18:58:37.1553250Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:37.1555140Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:37.1557130Z ##[endgroup] 2025-06-05T18:58:37.1605130Z ##[group]Run echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}" 2025-06-05T18:58:37.1605440Z echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}" 2025-06-05T18:58:37.1605880Z echo "default_packages_checksum=$(echo -n cmake=3.22 ninja=1.10 pkg-config=0.29 wheel=0.37 | md5sum | awk '{print $1}' )" >> "${GITHUB_OUTPUT}" 2025-06-05T18:58:37.1622750Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T18:58:37.1622960Z env: 2025-06-05T18:58:37.1623100Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:37.1624980Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:37.1626840Z ##[endgroup] 2025-06-05T18:58:37.1905000Z /Users/ec2-user/runner/_work/_temp/b6214714-bc67-4d41-a4b8-08112ca21ab2.sh: line 2: md5sum: command not found 2025-06-05T18:58:37.1956060Z ##[group]Run actions/cache@v3 2025-06-05T18:58:37.1956240Z with: 2025-06-05T18:58:37.1956390Z path: /Users/ec2-user/runner/_work/_temp/miniconda 2025-06-05T18:58:37.1956640Z key: miniconda-24.7.1-0-macOS-ARM64-3.11--20250605d 2025-06-05T18:58:37.1956860Z enableCrossOsArchive: false 2025-06-05T18:58:37.1957030Z fail-on-cache-miss: false 2025-06-05T18:58:37.1957190Z lookup-only: false 2025-06-05T18:58:37.1957320Z env: 2025-06-05T18:58:37.1957450Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:37.1959660Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:37.1961580Z ##[endgroup] 2025-06-05T18:58:37.3855480Z Cache hit for: miniconda-24.7.1-0-macOS-ARM64-3.11--20250605d 2025-06-05T18:58:38.4402320Z Received 201326592 of 335353279 (60.0%), 192.0 MBs/sec 2025-06-05T18:58:39.2560420Z Received 335353279 of 335353279 (100.0%), 176.2 MBs/sec 2025-06-05T18:58:39.2687510Z Cache Size: ~320 MB (335353279 B) 2025-06-05T18:58:39.2724910Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/509a45de-d2da-43f2-86e9-4f499297929f/cache.tzst -P -C /Users/ec2-user/runner/_work/executorch/executorch --use-compress-program unzstd 2025-06-05T18:58:47.5509590Z Cache restored successfully 2025-06-05T18:58:47.5618490Z Cache restored from key: miniconda-24.7.1-0-macOS-ARM64-3.11--20250605d 2025-06-05T18:58:47.5716250Z ##[group]Run set -x 2025-06-05T18:58:47.5716430Z set -x 2025-06-05T18:58:47.5716550Z  2025-06-05T18:58:47.5716720Z MINICONDA_INSTALL_PATH="${RUNNER_TEMP}/miniconda" 2025-06-05T18:58:47.5717010Z echo "${MINICONDA_INSTALL_PATH}/bin" >> $GITHUB_PATH 2025-06-05T18:58:47.5717310Z # NB: GITHUB_PATH has a lower priority than PATH, so also set the path 2025-06-05T18:58:47.5717620Z # here to make sure that the correct conda is used 2025-06-05T18:58:47.5717830Z { 2025-06-05T18:58:47.5717990Z  echo "PATH=${MINICONDA_INSTALL_PATH}/bin:${PATH}" 2025-06-05T18:58:47.5718270Z  echo "CONDA_EXE=${MINICONDA_INSTALL_PATH}/bin/conda"; 2025-06-05T18:58:47.5718490Z } >> "${GITHUB_ENV}" 2025-06-05T18:58:47.5734980Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T18:58:47.5735180Z env: 2025-06-05T18:58:47.5735320Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:47.5737230Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:47.5739130Z ##[endgroup] 2025-06-05T18:58:47.5957600Z + MINICONDA_INSTALL_PATH=/Users/ec2-user/runner/_work/_temp/miniconda 2025-06-05T18:58:47.5958030Z + echo /Users/ec2-user/runner/_work/_temp/miniconda/bin 2025-06-05T18:58:47.5958990Z + echo PATH=/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:58:47.5959770Z + echo CONDA_EXE=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:58:47.6909750Z ##[group]Run actions/cache@v3 2025-06-05T18:58:47.6909990Z with: 2025-06-05T18:58:47.6910170Z path: /Users/ec2-user/runner/_work/_temp/conda-python-3.11 2025-06-05T18:58:47.6910430Z key: miniconda-env-macOS-ARM64-3.11--20250605d-- 2025-06-05T18:58:47.6910660Z enableCrossOsArchive: false 2025-06-05T18:58:47.6911100Z fail-on-cache-miss: false 2025-06-05T18:58:47.6911270Z lookup-only: false 2025-06-05T18:58:47.6911420Z env: 2025-06-05T18:58:47.6911640Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:47.6913510Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:47.6915810Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:58:47.6916530Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:58:47.6916760Z ##[endgroup] 2025-06-05T18:58:48.0872080Z Cache hit for: miniconda-env-macOS-ARM64-3.11--20250605d-- 2025-06-05T18:58:48.5270390Z Received 62071552 of 62071552 (100.0%), 155.8 MBs/sec 2025-06-05T18:58:48.5374250Z Cache Size: ~59 MB (62071552 B) 2025-06-05T18:58:48.5391130Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/271d805d-2dcb-4645-a2e4-b0db9061e53c/cache.tzst -P -C /Users/ec2-user/runner/_work/executorch/executorch --use-compress-program unzstd 2025-06-05T18:58:51.0827860Z Cache restored successfully 2025-06-05T18:58:51.1175280Z Cache restored from key: miniconda-env-macOS-ARM64-3.11--20250605d-- 2025-06-05T18:58:51.2621480Z ##[group]Run set -x 2025-06-05T18:58:51.2621700Z set -x 2025-06-05T18:58:51.2621890Z  2025-06-05T18:58:51.2622110Z # Print the conda we are using here in case we need debugging information 2025-06-05T18:58:51.2622400Z CONDA_RUNTIME=$(which conda) 2025-06-05T18:58:51.2622600Z "${CONDA_RUNTIME}" --version 2025-06-05T18:58:51.2622780Z  2025-06-05T18:58:51.2623110Z # https://docs.conda.io/projects/conda-build/en/stable/user-guide/environment-variables.html 2025-06-05T18:58:51.2623520Z CONDA_PREFIX="${RUNNER_TEMP}/conda_environment_${GITHUB_RUN_ID}" 2025-06-05T18:58:51.2623800Z "${CONDA_RUNTIME}" create \ 2025-06-05T18:58:51.2623980Z  --yes --quiet \ 2025-06-05T18:58:51.2624160Z  --prefix "${CONDA_PREFIX}" \ 2025-06-05T18:58:51.2624360Z  --clone "${CONDA_BASE_ENV}" 2025-06-05T18:58:51.2624550Z  2025-06-05T18:58:51.2624670Z set +e 2025-06-05T18:58:51.2624950Z # NB: Cloning sometimes doesn't copied pip dependencies (untracked files) over. If this 2025-06-05T18:58:51.2625400Z # happens, let's attempt to install the pip requirements directly on top of the cloned 2025-06-05T18:58:51.2625780Z # environment. This is to make sure that no dependency is missing. 2025-06-05T18:58:51.2626220Z UNTRACKED_FILES_COUNT=$("${CONDA_RUNTIME}" package -p "${CONDA_PREFIX}" -u | grep -v "^#" | wc -l | xargs) 2025-06-05T18:58:51.2626600Z set -e 2025-06-05T18:58:51.2626740Z  2025-06-05T18:58:51.2626970Z if [[ -z "${UNTRACKED_FILES_COUNT}" ]] || [[ "${UNTRACKED_FILES_COUNT}" == "0" ]]; then 2025-06-05T18:58:51.2627260Z  if [[ -f "${PIP_REQUIREMENTS_FILE}" ]]; then 2025-06-05T18:58:51.2627590Z  # NB: Force reinstall and don't use the cache, as the installation would still fail 2025-06-05T18:58:51.2628140Z  # when reporting that all requirements have been satisfied 2025-06-05T18:58:51.2628650Z  "${CONDA_RUNTIME}" run -p "${CONDA_PREFIX}" --no-capture-output python3 -mpip install --ignore-installed --no-cache-dir -r "${PIP_REQUIREMENTS_FILE}" 2025-06-05T18:58:51.2629180Z  elif [[ -n "${PIP_REQUIREMENTS_FILE}" ]]; then 2025-06-05T18:58:51.2629590Z  echo "::warning::Specified pip requirements file (${PIP_REQUIREMENTS_FILE}) not found, not going to include it" 2025-06-05T18:58:51.2629960Z  fi 2025-06-05T18:58:51.2630100Z fi 2025-06-05T18:58:51.2630210Z  2025-06-05T18:58:51.2630500Z # Keep exporting CONDA_PREFIX under CONDA_ENV because the latter could be used elsewhere 2025-06-05T18:58:51.2630840Z echo "CONDA_ENV=${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2025-06-05T18:58:51.2631050Z  2025-06-05T18:58:51.2631230Z echo "CONDA_PREFIX=${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2025-06-05T18:58:51.2631600Z echo "CONDA_RUN=${CONDA_RUNTIME} run -p ${CONDA_PREFIX} --no-capture-output" >> "${GITHUB_ENV}" 2025-06-05T18:58:51.2632040Z echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX}" >> "${GITHUB_ENV}" 2025-06-05T18:58:51.2654180Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T18:58:51.2654400Z env: 2025-06-05T18:58:51.2654530Z REPOSITORY: pytorch/executorch 2025-06-05T18:58:51.2656440Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:58:51.2658720Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:58:51.2659400Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:58:51.2659640Z PYTHON_VERSION: 3.11 2025-06-05T18:58:51.2659850Z CONDA_BASE_ENV: /Users/ec2-user/runner/_work/_temp/conda-python-3.11 2025-06-05T18:58:51.2660110Z PIP_REQUIREMENTS_FILE: 2025-06-05T18:58:51.2660260Z ##[endgroup] 2025-06-05T18:58:51.2884380Z ++ which conda 2025-06-05T18:58:51.2893120Z + CONDA_RUNTIME=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:58:51.2893530Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda --version 2025-06-05T18:58:54.6860800Z conda 24.7.1 2025-06-05T18:58:54.7148240Z + CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:58:54.7149360Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda create --yes --quiet --prefix /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --clone /Users/ec2-user/runner/_work/_temp/conda-python-3.11 2025-06-05T18:58:55.0731870Z Source: /Users/ec2-user/runner/_work/_temp/conda-python-3.11 2025-06-05T18:58:55.0732250Z Destination: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:58:55.0732650Z Packages: 33 2025-06-05T18:58:55.0732790Z Files: 1 2025-06-05T18:58:55.2168800Z Preparing transaction: ...working... done 2025-06-05T18:58:57.8191250Z Verifying transaction: ...working... done 2025-06-05T18:59:01.3036790Z Executing transaction: ...working... done 2025-06-05T18:59:01.3779800Z + set +e 2025-06-05T18:59:01.3786350Z ++ /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda package -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 -u 2025-06-05T18:59:01.3786920Z ++ grep -v '^#' 2025-06-05T18:59:01.3789480Z ++ wc -l 2025-06-05T18:59:01.3790350Z ++ xargs 2025-06-05T18:59:01.9358720Z + UNTRACKED_FILES_COUNT=1 2025-06-05T18:59:01.9358930Z + set -e 2025-06-05T18:59:01.9359180Z + [[ -z 1 ]] 2025-06-05T18:59:01.9359400Z + [[ 1 == \0 ]] 2025-06-05T18:59:01.9359670Z + echo CONDA_ENV=/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:01.9360070Z + echo CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:01.9369070Z + echo 'CONDA_RUN=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output' 2025-06-05T18:59:01.9378840Z + echo 'CONDA_INSTALL=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371' 2025-06-05T18:59:01.9411430Z ##[group]Run CONDA_RUNTIME=$(which conda) 2025-06-05T18:59:01.9411680Z CONDA_RUNTIME=$(which conda) 2025-06-05T18:59:01.9411930Z  2025-06-05T18:59:01.9412060Z set -euxo pipefail 2025-06-05T18:59:01.9412280Z "${CONDA_RUNTIME}" config --set channel_priority false 2025-06-05T18:59:01.9431040Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T18:59:01.9431280Z env: 2025-06-05T18:59:01.9431410Z REPOSITORY: pytorch/executorch 2025-06-05T18:59:01.9433280Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:59:01.9435580Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:59:01.9436240Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:59:01.9436570Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:01.9436930Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:01.9437470Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T18:59:01.9438180Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:01.9438640Z ##[endgroup] 2025-06-05T18:59:01.9663480Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda config --set channel_priority false 2025-06-05T18:59:02.1508710Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-06-05T18:59:02.1508990Z with: 2025-06-05T18:59:02.1509130Z repository: pytorch/executorch 2025-06-05T18:59:02.1509330Z ref: bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T18:59:02.1509520Z path: pytorch/executorch 2025-06-05T18:59:02.1509670Z fetch-depth: 1 2025-06-05T18:59:02.1509820Z submodules: recursive 2025-06-05T18:59:02.1510020Z token: *** 2025-06-05T18:59:02.1510140Z ssh-strict: true 2025-06-05T18:59:02.1510270Z ssh-user: git 2025-06-05T18:59:02.1510410Z persist-credentials: true 2025-06-05T18:59:02.1510560Z clean: true 2025-06-05T18:59:02.1510770Z sparse-checkout-cone-mode: true 2025-06-05T18:59:02.1510950Z fetch-tags: false 2025-06-05T18:59:02.1511090Z show-progress: true 2025-06-05T18:59:02.1511220Z lfs: false 2025-06-05T18:59:02.1511370Z set-safe-directory: true 2025-06-05T18:59:02.1511510Z env: 2025-06-05T18:59:02.1511630Z REPOSITORY: pytorch/executorch 2025-06-05T18:59:02.1513550Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:59:02.1515890Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:59:02.1516570Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:59:02.1516900Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:02.1517250Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:02.1517780Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T18:59:02.1518510Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:02.1518960Z ##[endgroup] 2025-06-05T18:59:02.2219700Z Syncing repository: pytorch/executorch 2025-06-05T18:59:02.2223000Z ##[group]Getting Git version info 2025-06-05T18:59:02.2223420Z Working directory is '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch' 2025-06-05T18:59:02.2240790Z [command]/usr/bin/git version 2025-06-05T18:59:02.2313050Z git version 2.39.3 (Apple Git-146) 2025-06-05T18:59:02.2325720Z ##[endgroup] 2025-06-05T18:59:02.2330460Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/2050ff46-76e9-4bb6-93fd-e16dab9b5b38/.gitconfig' 2025-06-05T18:59:02.2335920Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/2050ff46-76e9-4bb6-93fd-e16dab9b5b38' before making global git config changes 2025-06-05T18:59:02.2336510Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T18:59:02.2342870Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:02.2413240Z ##[group]Initializing the repository 2025-06-05T18:59:02.2415770Z [command]/usr/bin/git init /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:02.2534370Z Initialized empty Git repository in /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/ 2025-06-05T18:59:02.2540530Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch 2025-06-05T18:59:02.2610100Z ##[endgroup] 2025-06-05T18:59:02.2610390Z ##[group]Disabling automatic garbage collection 2025-06-05T18:59:02.2612800Z [command]/usr/bin/git config --local gc.auto 0 2025-06-05T18:59:02.2671770Z ##[endgroup] 2025-06-05T18:59:02.2672040Z ##[group]Setting up auth 2025-06-05T18:59:02.2675860Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T18:59:02.2732590Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-06-05T18:59:02.3213460Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T18:59:02.3276990Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-06-05T18:59:02.3778650Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T18:59:02.3853470Z ##[endgroup] 2025-06-05T18:59:02.3853760Z ##[group]Fetching the repository 2025-06-05T18:59:02.3861540Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T18:59:03.3242230Z From https://github.com/pytorch/executorch 2025-06-05T18:59:03.3242570Z * branch bd572346e4f196b36aaa03a1645d12b1618fe88b -> FETCH_HEAD 2025-06-05T18:59:03.3278940Z ##[endgroup] 2025-06-05T18:59:03.3279200Z ##[group]Determining the checkout info 2025-06-05T18:59:03.3279890Z ##[endgroup] 2025-06-05T18:59:03.3282600Z [command]/usr/bin/git sparse-checkout disable 2025-06-05T18:59:03.3378060Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-06-05T18:59:03.3436680Z ##[group]Checking out the ref 2025-06-05T18:59:03.3439500Z [command]/usr/bin/git checkout --progress --force bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T18:59:03.9376700Z Note: switching to 'bd572346e4f196b36aaa03a1645d12b1618fe88b'. 2025-06-05T18:59:03.9376920Z 2025-06-05T18:59:03.9377080Z You are in 'detached HEAD' state. You can look around, make experimental 2025-06-05T18:59:03.9377470Z changes and commit them, and you can discard any commits you make in this 2025-06-05T18:59:03.9377850Z state without impacting any branches by switching back to a branch. 2025-06-05T18:59:03.9378070Z 2025-06-05T18:59:03.9378200Z If you want to create a new branch to retain commits you create, you may 2025-06-05T18:59:03.9378500Z do so (now or later) by using -c with the switch command. Example: 2025-06-05T18:59:03.9378690Z 2025-06-05T18:59:03.9378820Z git switch -c 2025-06-05T18:59:03.9378940Z 2025-06-05T18:59:03.9379010Z Or undo this operation with: 2025-06-05T18:59:03.9379120Z 2025-06-05T18:59:03.9379170Z git switch - 2025-06-05T18:59:03.9379260Z 2025-06-05T18:59:03.9379420Z Turn off this advice by setting config variable advice.detachedHead to false 2025-06-05T18:59:03.9379630Z 2025-06-05T18:59:03.9379810Z HEAD is now at bd57234 Qualcomm AI Engine Direct - QAIRT Visualizer Engagement (#10873) 2025-06-05T18:59:03.9386050Z ##[endgroup] 2025-06-05T18:59:03.9386350Z ##[group]Setting up auth for fetching submodules 2025-06-05T18:59:03.9389530Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T18:59:03.9462660Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-06-05T18:59:03.9521710Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-06-05T18:59:03.9585580Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-06-05T18:59:03.9648700Z ##[endgroup] 2025-06-05T18:59:03.9648960Z ##[group]Fetching submodules 2025-06-05T18:59:03.9651260Z [command]/usr/bin/git submodule sync --recursive 2025-06-05T18:59:04.0132600Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-06-05T18:59:04.0612250Z Submodule 'backends/arm/third-party/ethos-u-core-driver' (https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver.git) registered for path 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:04.0631660Z Submodule 'backends/arm/third-party/serialization_lib' (https://git.gitlab.arm.com/tosa/tosa-serialization.git) registered for path 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:04.0652160Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO' 2025-06-05T18:59:04.0672700Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:04.0693830Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:04.0713870Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk' 2025-06-05T18:59:04.0734940Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:04.0756190Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:04.0777810Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:04.0798530Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:04.0819340Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:04.0839290Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers' 2025-06-05T18:59:04.0860460Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:04.0880580Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim' 2025-06-05T18:59:04.0901160Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao' 2025-06-05T18:59:04.0921050Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers' 2025-06-05T18:59:04.0941580Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc' 2025-06-05T18:59:04.0961770Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags' 2025-06-05T18:59:04.0981880Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest' 2025-06-05T18:59:04.1002490Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake' 2025-06-05T18:59:04.1022940Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json' 2025-06-05T18:59:04.1043590Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft' 2025-06-05T18:59:04.1063670Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude' 2025-06-05T18:59:04.1084250Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11' 2025-06-05T18:59:04.1162770Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'... 2025-06-05T18:59:05.0649610Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'... 2025-06-05T18:59:05.0650410Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'... 2025-06-05T18:59:05.0668100Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'... 2025-06-05T18:59:05.0684960Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'... 2025-06-05T18:59:05.0692960Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'... 2025-06-05T18:59:05.0695040Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'... 2025-06-05T18:59:05.0696990Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'... 2025-06-05T18:59:05.0698230Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'... 2025-06-05T18:59:05.0698890Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'... 2025-06-05T18:59:05.0699610Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/shim'... 2025-06-05T18:59:05.0700210Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'... 2025-06-05T18:59:05.0700890Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'... 2025-06-05T18:59:05.0701510Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'... 2025-06-05T18:59:05.3429910Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'... 2025-06-05T18:59:05.3430490Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'... 2025-06-05T18:59:05.3431090Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'... 2025-06-05T18:59:05.3431760Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'... 2025-06-05T18:59:05.3432320Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'... 2025-06-05T18:59:05.3432860Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'... 2025-06-05T18:59:05.3433420Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'... 2025-06-05T18:59:05.3915280Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'... 2025-06-05T18:59:05.4173970Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/json'... 2025-06-05T18:59:05.4503490Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'... 2025-06-05T18:59:06.9515590Z From https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver 2025-06-05T18:59:06.9516660Z * branch 7bf44c54527e718b99d588ce520cf2f96343adb1 -> FETCH_HEAD 2025-06-05T18:59:06.9762220Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '7bf44c54527e718b99d588ce520cf2f96343adb1' 2025-06-05T18:59:08.4585870Z From https://git.gitlab.arm.com/tosa/tosa-serialization 2025-06-05T18:59:08.4586360Z * branch 187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD 2025-06-05T18:59:08.4794890Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2' 2025-06-05T18:59:08.4840130Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:08.4906920Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers'... 2025-06-05T18:59:09.9216500Z From https://github.com/google/flatbuffers 2025-06-05T18:59:09.9216870Z * branch 0100f6a5779831fa7a651e4b67ef389a8752bd9b -> FETCH_HEAD 2025-06-05T18:59:10.0608980Z Submodule path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers': checked out '0100f6a5779831fa7a651e4b67ef389a8752bd9b' 2025-06-05T18:59:10.7573420Z From https://github.com/pytorch-labs/FACTO 2025-06-05T18:59:10.7574110Z * branch 1db37fc79d0d59638cbb794fa49d878aafc24461 -> FETCH_HEAD 2025-06-05T18:59:10.7814320Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461' 2025-06-05T18:59:11.6324470Z From https://github.com/KhronosGroup/Vulkan-Headers 2025-06-05T18:59:11.6324850Z * branch 0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD 2025-06-05T18:59:11.6680390Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2' 2025-06-05T18:59:12.3985090Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator 2025-06-05T18:59:12.3985540Z * branch a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD 2025-06-05T18:59:12.4320060Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2025-06-05T18:59:12.9765890Z From https://github.com/zeux/volk 2025-06-05T18:59:12.9766390Z * branch b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD 2025-06-05T18:59:12.9948410Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3' 2025-06-05T18:59:13.5805820Z From https://github.com/Maratyszcza/FP16 2025-06-05T18:59:13.5806240Z * branch 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD 2025-06-05T18:59:13.5982970Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-06-05T18:59:14.1386960Z From https://github.com/Maratyszcza/FXdiv 2025-06-05T18:59:14.1387790Z * branch b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD 2025-06-05T18:59:14.1611800Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-06-05T18:59:15.4234870Z From https://github.com/google/XNNPACK 2025-06-05T18:59:15.4235200Z * branch 4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD 2025-06-05T18:59:17.5688320Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8' 2025-06-05T18:59:18.2753080Z From https://github.com/pytorch/cpuinfo 2025-06-05T18:59:18.2753720Z * branch c61fe919607bbc534d7a5a5707bdd7041e72c5ff -> FETCH_HEAD 2025-06-05T18:59:18.3604760Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out 'c61fe919607bbc534d7a5a5707bdd7041e72c5ff' 2025-06-05T18:59:18.9102600Z From https://github.com/Maratyszcza/pthreadpool 2025-06-05T18:59:18.9103070Z * branch 4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD 2025-06-05T18:59:18.9274490Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-06-05T18:59:18.9811820Z Submodule path 'extension/llm/tokenizers': checked out 'fc5962cd9e08019c5df6667eba3377e7d76441f7' 2025-06-05T18:59:18.9854030Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:18.9861890Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:18.9870970Z Submodule 'third-party/pcre2' (https://github.com/PCRE2Project/pcre2.git) registered for path 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:18.9880150Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:18.9889330Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:18.9958270Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'... 2025-06-05T18:59:19.4134430Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/re2'... 2025-06-05T18:59:19.4135160Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2'... 2025-06-05T18:59:19.4135880Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'... 2025-06-05T18:59:19.4655450Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/json'... 2025-06-05T18:59:20.3490570Z From https://github.com/abseil/abseil-cpp 2025-06-05T18:59:20.3491020Z * branch 7d96b2e93d9a84530748b68abd2f97595c51ecf4 -> FETCH_HEAD 2025-06-05T18:59:20.4715960Z Submodule path 'extension/llm/tokenizers/third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4' 2025-06-05T18:59:21.2883130Z From https://github.com/nlohmann/json 2025-06-05T18:59:21.2883770Z * branch e6cafa573aac6ed9227f752a5371c0b3f436307d -> FETCH_HEAD 2025-06-05T18:59:21.3966010Z Submodule path 'extension/llm/tokenizers/third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d' 2025-06-05T18:59:22.0658550Z From https://github.com/PCRE2Project/pcre2 2025-06-05T18:59:22.0658880Z * branch 2e03e323339ab692640626f02f8d8d6f95bff9c6 -> FETCH_HEAD 2025-06-05T18:59:22.1272640Z Submodule path 'extension/llm/tokenizers/third-party/pcre2': checked out '2e03e323339ab692640626f02f8d8d6f95bff9c6' 2025-06-05T18:59:22.1317320Z Submodule 'deps/sljit' (https://github.com/zherczeg/sljit.git) registered for path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:22.1383460Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2/deps/sljit'... 2025-06-05T18:59:23.2131060Z From https://github.com/zherczeg/sljit 2025-06-05T18:59:23.2131420Z * branch 98802d939be3f0ccc2c538d611ec4c728564e8cf -> FETCH_HEAD 2025-06-05T18:59:23.2351220Z Submodule path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit': checked out '98802d939be3f0ccc2c538d611ec4c728564e8cf' 2025-06-05T18:59:23.9397390Z From https://github.com/google/re2 2025-06-05T18:59:23.9398210Z * branch 6dcd83d60f7944926bfd308cc13979fc53dd69ca -> FETCH_HEAD 2025-06-05T18:59:23.9807620Z Submodule path 'extension/llm/tokenizers/third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca' 2025-06-05T18:59:24.6360250Z From https://github.com/google/sentencepiece 2025-06-05T18:59:24.6360820Z * branch d8f741853847553169444afc12c00f4bbff3e9ce -> FETCH_HEAD 2025-06-05T18:59:24.7740000Z Submodule path 'extension/llm/tokenizers/third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce' 2025-06-05T18:59:26.2302970Z From https://gitlab.com/libeigen/eigen 2025-06-05T18:59:26.2303510Z * branch a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD 2025-06-05T18:59:26.3786700Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa' 2025-06-05T18:59:27.2396290Z From https://github.com/facebook/buck2-shims-meta 2025-06-05T18:59:27.2396710Z * branch cf6a954aae4bee7b4515e13475878460115027d1 -> FETCH_HEAD 2025-06-05T18:59:27.2757580Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1' 2025-06-05T18:59:28.2074100Z From https://github.com/pytorch/ao 2025-06-05T18:59:28.2074530Z * branch bc68b11f1bf77be38721ca7dd2c477aeb5e6626e -> FETCH_HEAD 2025-06-05T18:59:28.3084480Z Submodule path 'third-party/ao': checked out 'bc68b11f1bf77be38721ca7dd2c477aeb5e6626e' 2025-06-05T18:59:28.3130370Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:28.3195910Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/ao/third_party/cutlass'... 2025-06-05T18:59:29.8448070Z From https://github.com/NVIDIA/cutlass 2025-06-05T18:59:29.8448370Z * branch ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e -> FETCH_HEAD 2025-06-05T18:59:30.4685360Z Submodule path 'third-party/ao/third_party/cutlass': checked out 'ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e' 2025-06-05T18:59:31.3348500Z From https://github.com/google/flatbuffers 2025-06-05T18:59:31.3348800Z * branch 595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD 2025-06-05T18:59:31.5118510Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e' 2025-06-05T18:59:32.2198050Z From https://github.com/dvidelabs/flatcc 2025-06-05T18:59:32.2198530Z * branch 896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD 2025-06-05T18:59:32.2584390Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117' 2025-06-05T18:59:32.9454230Z From https://github.com/gflags/gflags 2025-06-05T18:59:32.9454870Z * branch a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD 2025-06-05T18:59:32.9681470Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd' 2025-06-05T18:59:33.8062660Z From https://github.com/google/googletest 2025-06-05T18:59:33.8062950Z * branch e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD 2025-06-05T18:59:33.8391160Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-06-05T18:59:34.4577000Z From https://github.com/leetal/ios-cmake 2025-06-05T18:59:34.4577650Z * branch 06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD 2025-06-05T18:59:34.4810060Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45' 2025-06-05T18:59:35.1934440Z From https://github.com/nlohmann/json 2025-06-05T18:59:35.1934740Z * branch ac0133ea89a8fd730a9cc9649c5226a9995dc3e1 -> FETCH_HEAD 2025-06-05T18:59:35.2987170Z Submodule path 'third-party/json': checked out 'ac0133ea89a8fd730a9cc9649c5226a9995dc3e1' 2025-06-05T18:59:35.3153200Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-06-05T18:59:36.1114320Z From https://github.com/facebook/buck2-prelude 2025-06-05T18:59:36.1115260Z * branch 48c249f8c7b99ff501d6e857754760315072b306 -> FETCH_HEAD 2025-06-05T18:59:36.2785390Z Submodule path 'third-party/prelude': checked out '48c249f8c7b99ff501d6e857754760315072b306' 2025-06-05T18:59:36.9825120Z From https://github.com/pybind/pybind11 2025-06-05T18:59:36.9826030Z * branch a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD 2025-06-05T18:59:37.0146390Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-06-05T18:59:37.0193340Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-06-05T18:59:37.0683020Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:37.0765090Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:37.0844580Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:37.0928750Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T18:59:37.1010450Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:37.1091230Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:37.1217890Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T18:59:37.1301620Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:37.1392900Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:37.1475960Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:37.1562290Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:37.1644990Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:37.1726730Z Entering 'extension/llm/tokenizers' 2025-06-05T18:59:37.1806000Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:37.1886600Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:37.1968280Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:37.2048620Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:37.2131350Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:37.2212050Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:37.2296400Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:37.2648010Z Entering 'shim' 2025-06-05T18:59:37.2937340Z Entering 'third-party/ao' 2025-06-05T18:59:37.3024150Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:37.3109890Z Entering 'third-party/flatbuffers' 2025-06-05T18:59:37.3191540Z Entering 'third-party/flatcc' 2025-06-05T18:59:37.3269930Z Entering 'third-party/gflags' 2025-06-05T18:59:37.3349870Z Entering 'third-party/googletest' 2025-06-05T18:59:37.3428960Z Entering 'third-party/ios-cmake' 2025-06-05T18:59:37.3515160Z Entering 'third-party/json' 2025-06-05T18:59:37.3595390Z Entering 'third-party/pocketfft' 2025-06-05T18:59:37.3675600Z Entering 'third-party/prelude' 2025-06-05T18:59:37.3759230Z Entering 'third-party/pybind11' 2025-06-05T18:59:37.3847730Z ##[endgroup] 2025-06-05T18:59:37.3847990Z ##[group]Persisting credentials for submodules 2025-06-05T18:59:37.3852250Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-06-05T18:59:37.4329500Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:37.4427190Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:37.4523830Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:37.4625090Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T18:59:37.4723040Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:37.4819580Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:37.4914680Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T18:59:37.5009740Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:37.5104420Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:37.5201570Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:37.5304630Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:37.5402950Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:37.5499080Z Entering 'extension/llm/tokenizers' 2025-06-05T18:59:37.5593040Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:37.5692320Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:37.5788280Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:37.5882710Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:37.5981050Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:37.6078070Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:37.6175740Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:37.6275250Z Entering 'shim' 2025-06-05T18:59:37.6373110Z Entering 'third-party/ao' 2025-06-05T18:59:37.6470160Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:37.6572740Z Entering 'third-party/flatbuffers' 2025-06-05T18:59:37.6672820Z Entering 'third-party/flatcc' 2025-06-05T18:59:37.6770250Z Entering 'third-party/gflags' 2025-06-05T18:59:37.6866340Z Entering 'third-party/googletest' 2025-06-05T18:59:37.6963010Z Entering 'third-party/ios-cmake' 2025-06-05T18:59:37.7058550Z Entering 'third-party/json' 2025-06-05T18:59:37.7154130Z Entering 'third-party/pocketfft' 2025-06-05T18:59:37.7251470Z Entering 'third-party/prelude' 2025-06-05T18:59:37.7348550Z Entering 'third-party/pybind11' 2025-06-05T18:59:37.7455010Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-06-05T18:59:37.7936330Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:37.8036200Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/config remote.origin.url 2025-06-05T18:59:37.8069760Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:37.8167390Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config remote.origin.url 2025-06-05T18:59:37.8199180Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:37.8297290Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/config remote.origin.url 2025-06-05T18:59:37.8333910Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T18:59:37.8431660Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config remote.origin.url 2025-06-05T18:59:37.8465950Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:37.8563380Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config remote.origin.url 2025-06-05T18:59:37.8597680Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:37.8695180Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config remote.origin.url 2025-06-05T18:59:37.8729530Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T18:59:37.8826960Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config remote.origin.url 2025-06-05T18:59:37.8860160Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:37.8958200Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config remote.origin.url 2025-06-05T18:59:37.8992510Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:37.9088960Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config remote.origin.url 2025-06-05T18:59:37.9122450Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:37.9219010Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config remote.origin.url 2025-06-05T18:59:37.9257570Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:37.9356550Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config remote.origin.url 2025-06-05T18:59:37.9390890Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:37.9487350Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config remote.origin.url 2025-06-05T18:59:37.9521870Z Entering 'extension/llm/tokenizers' 2025-06-05T18:59:37.9618640Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config remote.origin.url 2025-06-05T18:59:37.9650990Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:37.9747780Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/config remote.origin.url 2025-06-05T18:59:37.9781700Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:37.9877380Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/config remote.origin.url 2025-06-05T18:59:37.9911250Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:38.0005030Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/config remote.origin.url 2025-06-05T18:59:38.0036500Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:38.0132530Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/config remote.origin.url 2025-06-05T18:59:38.0166980Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:38.0263730Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/config remote.origin.url 2025-06-05T18:59:38.0297280Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:38.0394770Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/config remote.origin.url 2025-06-05T18:59:38.0430280Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:38.0528080Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config remote.origin.url 2025-06-05T18:59:38.0561990Z Entering 'shim' 2025-06-05T18:59:38.0657630Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config remote.origin.url 2025-06-05T18:59:38.0691100Z Entering 'third-party/ao' 2025-06-05T18:59:38.0788240Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config remote.origin.url 2025-06-05T18:59:38.0820890Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:38.0917210Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/config remote.origin.url 2025-06-05T18:59:38.0955420Z Entering 'third-party/flatbuffers' 2025-06-05T18:59:38.1053500Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config remote.origin.url 2025-06-05T18:59:38.1088580Z Entering 'third-party/flatcc' 2025-06-05T18:59:38.1185990Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config remote.origin.url 2025-06-05T18:59:38.1219630Z Entering 'third-party/gflags' 2025-06-05T18:59:38.1315650Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config remote.origin.url 2025-06-05T18:59:38.1349420Z Entering 'third-party/googletest' 2025-06-05T18:59:38.1446860Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config remote.origin.url 2025-06-05T18:59:38.1480850Z Entering 'third-party/ios-cmake' 2025-06-05T18:59:38.1577570Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config remote.origin.url 2025-06-05T18:59:38.1611640Z Entering 'third-party/json' 2025-06-05T18:59:38.1709090Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/config remote.origin.url 2025-06-05T18:59:38.1743320Z Entering 'third-party/pocketfft' 2025-06-05T18:59:38.1840580Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config remote.origin.url 2025-06-05T18:59:38.1873960Z Entering 'third-party/prelude' 2025-06-05T18:59:38.1969860Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config remote.origin.url 2025-06-05T18:59:38.2003810Z Entering 'third-party/pybind11' 2025-06-05T18:59:38.2098200Z file:/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config remote.origin.url 2025-06-05T18:59:38.2206210Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-06-05T18:59:38.2687160Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:38.2768950Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:38.2850420Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:38.2935380Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T18:59:38.3017580Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:38.3099390Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:38.3181190Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T18:59:38.3262960Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:38.3343460Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:38.3426530Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:38.3513260Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:38.3598060Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:38.3679050Z Entering 'extension/llm/tokenizers' 2025-06-05T18:59:38.3758070Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:38.3839600Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:38.3921290Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:38.4000290Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:38.4083640Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:38.4163850Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:38.4246520Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:38.4328380Z Entering 'shim' 2025-06-05T18:59:38.4409070Z Entering 'third-party/ao' 2025-06-05T18:59:38.4488360Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:38.4573410Z Entering 'third-party/flatbuffers' 2025-06-05T18:59:38.4656410Z Entering 'third-party/flatcc' 2025-06-05T18:59:38.4738470Z Entering 'third-party/gflags' 2025-06-05T18:59:38.4818060Z Entering 'third-party/googletest' 2025-06-05T18:59:38.4897970Z Entering 'third-party/ios-cmake' 2025-06-05T18:59:38.4978860Z Entering 'third-party/json' 2025-06-05T18:59:38.5059260Z Entering 'third-party/pocketfft' 2025-06-05T18:59:38.5139010Z Entering 'third-party/prelude' 2025-06-05T18:59:38.5220540Z Entering 'third-party/pybind11' 2025-06-05T18:59:38.5309080Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-06-05T18:59:38.5792410Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T18:59:38.5873960Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T18:59:38.5953030Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T18:59:38.6037630Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T18:59:38.6119470Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T18:59:38.6201140Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T18:59:38.6281240Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T18:59:38.6361560Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T18:59:38.6441990Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T18:59:38.6523080Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T18:59:38.6608860Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T18:59:38.6691320Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T18:59:38.6771870Z Entering 'extension/llm/tokenizers' 2025-06-05T18:59:38.6851340Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T18:59:38.6933570Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T18:59:38.7014860Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T18:59:38.7094610Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T18:59:38.7177690Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T18:59:38.7258990Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T18:59:38.7342100Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T18:59:38.7423670Z Entering 'shim' 2025-06-05T18:59:38.7505390Z Entering 'third-party/ao' 2025-06-05T18:59:38.7583460Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T18:59:38.7669780Z Entering 'third-party/flatbuffers' 2025-06-05T18:59:38.7752400Z Entering 'third-party/flatcc' 2025-06-05T18:59:38.7832660Z Entering 'third-party/gflags' 2025-06-05T18:59:38.7913010Z Entering 'third-party/googletest' 2025-06-05T18:59:38.7992970Z Entering 'third-party/ios-cmake' 2025-06-05T18:59:38.8073330Z Entering 'third-party/json' 2025-06-05T18:59:38.8153930Z Entering 'third-party/pocketfft' 2025-06-05T18:59:38.8233600Z Entering 'third-party/prelude' 2025-06-05T18:59:38.8314140Z Entering 'third-party/pybind11' 2025-06-05T18:59:38.8399540Z ##[endgroup] 2025-06-05T18:59:38.8481820Z [command]/usr/bin/git log -1 --format=%H 2025-06-05T18:59:38.8553130Z bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T18:59:38.8612280Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-06-05T18:59:38.8612600Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-06-05T18:59:38.8612830Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-06-05T18:59:38.8613110Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-06-05T18:59:38.8613360Z  2025-06-05T18:59:38.8613540Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-06-05T18:59:38.8613790Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-06-05T18:59:38.8614100Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-06-05T18:59:38.8633490Z shell: /bin/bash -e {0} 2025-06-05T18:59:38.8633630Z env: 2025-06-05T18:59:38.8633750Z REPOSITORY: pytorch/executorch 2025-06-05T18:59:38.8635690Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:59:38.8637960Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:59:38.8638620Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:59:38.8638930Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8639270Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8639800Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T18:59:38.8640500Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8640930Z ##[endgroup] 2025-06-05T18:59:38.8952100Z ##[group]Run { 2025-06-05T18:59:38.8952300Z { 2025-06-05T18:59:38.8952460Z  echo "#!/usr/bin/env bash"; 2025-06-05T18:59:38.8952650Z  echo "set -eou pipefail"; 2025-06-05T18:59:38.8952910Z  # Source conda so it's available to the script environment 2025-06-05T18:59:38.8953180Z  echo 'eval "$(conda shell.bash hook)"'; 2025-06-05T18:59:38.8953380Z  echo "${SCRIPT}"; 2025-06-05T18:59:38.8953570Z } > "${RUNNER_TEMP}/exec_script" 2025-06-05T18:59:38.8953750Z while read line; do 2025-06-05T18:59:38.8953950Z  eval "export ${line}" 2025-06-05T18:59:38.8954180Z done < "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-06-05T18:59:38.8954650Z python3 "/Users/ec2-user/runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" "" 2025-06-05T18:59:38.8973730Z shell: /bin/bash -l {0} 2025-06-05T18:59:38.8973870Z env: 2025-06-05T18:59:38.8974020Z REPOSITORY: pytorch/executorch 2025-06-05T18:59:38.8975960Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T18:59:38.8978280Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T18:59:38.8978960Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T18:59:38.8979300Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8979690Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8980240Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T18:59:38.8980980Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:38.8981500Z RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts 2025-06-05T18:59:38.8981820Z RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results 2025-06-05T18:59:38.8982290Z ALL_SECRETS: { "github_token": "***" } 2025-06-05T18:59:38.8982470Z ##[endgroup] 2025-06-05T18:59:39.4578610Z /Users/ec2-user/runner/_work/_temp/8f5781f1-bd5f-443e-bb5e-d7f3d07c516d.sh: line 10: /Users/ec2-user/runner/_work/_temp/github_env_15475023371: No such file or directory 2025-06-05T18:59:54.9061990Z Running command: bash /Users/ec2-user/runner/_work/_temp/exec_script 2025-06-05T18:59:54.9062330Z + install_conda 2025-06-05T18:59:54.9062490Z + pushd .ci/docker 2025-06-05T18:59:54.9062890Z ~/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:54.9063670Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 -y --file conda-env-ci.txt 2025-06-05T18:59:54.9064180Z Channels: 2025-06-05T18:59:54.9064310Z - defaults 2025-06-05T18:59:54.9064480Z Platform: osx-arm64 2025-06-05T18:59:54.9065140Z Collecting package metadata (repodata.json): ...working... done 2025-06-05T18:59:54.9065570Z Solving environment: ...working... done 2025-06-05T18:59:54.9065720Z 2025-06-05T18:59:54.9065770Z ## Package Plan ## 2025-06-05T18:59:54.9065910Z 2025-06-05T18:59:54.9066100Z environment location: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T18:59:54.9066350Z 2025-06-05T18:59:54.9066410Z added / updated specs: 2025-06-05T18:59:54.9066570Z - cmake==3.26.4 2025-06-05T18:59:54.9066710Z - libuv 2025-06-05T18:59:54.9066850Z - llvm-openmp 2025-06-05T18:59:54.9066980Z - ninja==1.10.2 2025-06-05T18:59:54.9067120Z - pkg-config 2025-06-05T18:59:54.9067210Z 2025-06-05T18:59:54.9067210Z 2025-06-05T18:59:54.9067310Z The following NEW packages will be INSTALLED: 2025-06-05T18:59:54.9067450Z 2025-06-05T18:59:54.9070880Z llvm-openmp pkgs/main/osx-arm64::llvm-openmp-14.0.6-hc6e5704_0 2025-06-05T18:59:54.9071100Z 2025-06-05T18:59:54.9071170Z The following packages will be UPDATED: 2025-06-05T18:59:54.9071410Z 2025-06-05T18:59:54.9071530Z cmake 3.22.1-hae769c0_0 --> 3.26.4-h5d7ac33_0 2025-06-05T18:59:54.9071690Z 2025-06-05T18:59:54.9071690Z 2025-06-05T18:59:54.9071780Z Preparing transaction: ...working... done 2025-06-05T18:59:54.9072020Z Verifying transaction: ...working... done 2025-06-05T18:59:54.9072240Z Executing transaction: ...working... done 2025-06-05T18:59:54.9072430Z + popd 2025-06-05T18:59:54.9072610Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:54.9072850Z ++ dirname .ci/scripts/setup-macos.sh 2025-06-05T18:59:54.9073060Z + source .ci/scripts/utils.sh 2025-06-05T18:59:54.9073240Z + read -r BUILD_TOOL BUILD_MODE EDITABLE 2025-06-05T18:59:54.9073440Z ++ parse_args --build-tool cmake 2025-06-05T18:59:54.9073610Z ++ args=("$@") 2025-06-05T18:59:54.9073750Z ++ local args 2025-06-05T18:59:54.9073870Z ++ local i 2025-06-05T18:59:54.9074000Z ++ local BUILD_TOOL= 2025-06-05T18:59:54.9074140Z ++ local BUILD_MODE= 2025-06-05T18:59:54.9074320Z ++ local EDITABLE= 2025-06-05T18:59:54.9074460Z ++ (( i=0 )) 2025-06-05T18:59:54.9074580Z ++ (( i<2 )) 2025-06-05T18:59:54.9074700Z ++ case "${args[$i]}" in 2025-06-05T18:59:54.9074870Z ++ BUILD_TOOL=cmake 2025-06-05T18:59:54.9074990Z ++ i=1 2025-06-05T18:59:54.9075110Z ++ (( i++ )) 2025-06-05T18:59:54.9075240Z ++ (( i<2 )) 2025-06-05T18:59:54.9075360Z ++ '[' -z cmake ']' 2025-06-05T18:59:54.9075510Z ++ [[ cmake =~ ^(cmake|buck2)$ ]] 2025-06-05T18:59:54.9075690Z ++ BUILD_MODE=Release 2025-06-05T18:59:54.9075860Z ++ [[ Release =~ ^(Debug|Release)$ ]] 2025-06-05T18:59:54.9076060Z ++ EDITABLE=false 2025-06-05T18:59:54.9076210Z ++ [[ false =~ ^(true|false)$ ]] 2025-06-05T18:59:54.9076390Z ++ echo 'cmake Release false' 2025-06-05T18:59:54.9076580Z + setup_macos_env_variables 2025-06-05T18:59:54.9076860Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())' 2025-06-05T18:59:54.9077350Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages 2025-06-05T18:59:54.9077740Z + export CMAKE_PREFIX_PATH 2025-06-05T18:59:54.9077900Z + install_buck 2025-06-05T18:59:54.9078030Z + command -v zstd 2025-06-05T18:59:54.9078170Z + command -v curl 2025-06-05T18:59:54.9078310Z + pushd .ci/docker 2025-06-05T18:59:54.9078690Z ~/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:54.9079100Z ++ cat ci_commit_pins/buck2.txt 2025-06-05T18:59:54.9079290Z + BUCK2_VERSION=2025-05-06 2025-06-05T18:59:54.9079490Z + BUCK2=buck2-aarch64-apple-darwin-2025-05-06.zst 2025-06-05T18:59:54.9079950Z + curl -s https://ossci-macos.s3.amazonaws.com/buck2-aarch64-apple-darwin-2025-05-06.zst -o buck2-aarch64-apple-darwin-2025-05-06.zst 2025-06-05T18:59:54.9080410Z + zstd -d buck2-aarch64-apple-darwin-2025-05-06.zst -o buck2 2025-06-05T18:59:54.9080710Z buck2-aarch64-apple-darwin-2025-05-06.zst: 85018032 bytes 2025-06-05T18:59:54.9081050Z + chmod +x buck2 2025-06-05T18:59:54.9081240Z + mv buck2 /opt/homebrew/bin 2025-06-05T18:59:54.9081430Z + rm buck2-aarch64-apple-darwin-2025-05-06.zst 2025-06-05T18:59:54.9081630Z + popd 2025-06-05T18:59:54.9081790Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:54.9082010Z + buck2 killall 2025-06-05T18:59:54.9082150Z No buck2 processes found 2025-06-05T18:59:54.9082340Z + brew install libomp 2025-06-05T18:59:54.9094560Z ##[warning]libomp 20.1.6 is already installed and up-to-date. To reinstall 20.1.6, run: brew reinstall libomp 2025-06-05T18:59:54.9098100Z + install_pip_dependencies 2025-06-05T18:59:54.9098270Z + pushd .ci/docker 2025-06-05T18:59:54.9098630Z ~/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T18:59:54.9099080Z + pip install --progress-bar off -r requirements-ci.txt 2025-06-05T18:59:54.9099610Z Obtaining pytorch_sphinx_theme from git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme (from -r requirements-ci.txt (line 27)) 2025-06-05T18:59:54.9100270Z Cloning https://github.com/pytorch/pytorch_sphinx_theme.git to ./src/pytorch-sphinx-theme 2025-06-05T18:59:54.9101000Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/pytorch_sphinx_theme.git /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme 2025-06-05T18:59:54.9101760Z Resolved https://github.com/pytorch/pytorch_sphinx_theme.git to commit 4125c834e1aa0945fde6ef58ff2f77f7abedc460 2025-06-05T18:59:54.9102150Z Installing build dependencies: started 2025-06-05T18:59:54.9102400Z Installing build dependencies: finished with status 'done' 2025-06-05T18:59:54.9102680Z Checking if build backend supports build_editable: started 2025-06-05T18:59:54.9103000Z Checking if build backend supports build_editable: finished with status 'done' 2025-06-05T18:59:54.9103300Z Getting requirements to build editable: started 2025-06-05T18:59:54.9103570Z Getting requirements to build editable: finished with status 'done' 2025-06-05T18:59:54.9103880Z Preparing editable metadata (pyproject.toml): started 2025-06-05T18:59:54.9104180Z Preparing editable metadata (pyproject.toml): finished with status 'done' 2025-06-05T18:59:54.9104500Z Collecting mpmath==1.3.0 (from -r requirements-ci.txt (line 1)) 2025-06-05T18:59:54.9104810Z Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB) 2025-06-05T18:59:54.9105100Z Collecting numpy>=2.0.0 (from -r requirements-ci.txt (line 2)) 2025-06-05T18:59:54.9105440Z Using cached numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl.metadata (62 kB) 2025-06-05T18:59:54.9105770Z Collecting PyYAML==6.0.1 (from -r requirements-ci.txt (line 3)) 2025-06-05T18:59:54.9106140Z Using cached PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (2.1 kB) 2025-06-05T18:59:54.9106510Z Collecting ruamel.yaml==0.17.32 (from -r requirements-ci.txt (line 4)) 2025-06-05T18:59:54.9106860Z Using cached ruamel.yaml-0.17.32-py3-none-any.whl.metadata (17 kB) 2025-06-05T18:59:54.9107200Z Collecting sympy==1.12 (from -r requirements-ci.txt (line 5)) 2025-06-05T18:59:54.9107500Z Using cached sympy-1.12-py3-none-any.whl.metadata (12 kB) 2025-06-05T18:59:54.9107790Z Collecting timm==0.6.13 (from -r requirements-ci.txt (line 6)) 2025-06-05T18:59:54.9108090Z Using cached timm-0.6.13-py3-none-any.whl.metadata (38 kB) 2025-06-05T18:59:54.9108390Z Collecting tomli==2.0.1 (from -r requirements-ci.txt (line 7)) 2025-06-05T18:59:54.9108690Z Using cached tomli-2.0.1-py3-none-any.whl.metadata (8.9 kB) 2025-06-05T18:59:54.9108990Z Collecting torchsr==1.0.4 (from -r requirements-ci.txt (line 8)) 2025-06-05T18:59:54.9109320Z Using cached torchsr-1.0.4-py3-none-any.whl.metadata (12 kB) 2025-06-05T18:59:54.9109640Z Collecting transformers==4.47.1 (from -r requirements-ci.txt (line 9)) 2025-06-05T18:59:54.9110010Z Using cached transformers-4.47.1-py3-none-any.whl.metadata (44 kB) 2025-06-05T18:59:54.9110470Z Collecting zstd==1.5.5.1 (from -r requirements-ci.txt (line 10)) 2025-06-05T18:59:54.9110860Z Using cached zstd-1.5.5.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (8.9 kB) 2025-06-05T18:59:54.9111200Z Collecting pandas>=2.2.2 (from -r requirements-ci.txt (line 11)) 2025-06-05T18:59:54.9111540Z Downloading pandas-2.3.0-cp311-cp311-macosx_11_0_arm64.whl.metadata (91 kB) 2025-06-05T18:59:54.9111880Z Collecting pytest==7.2.0 (from -r requirements-ci.txt (line 12)) 2025-06-05T18:59:54.9112190Z Using cached pytest-7.2.0-py3-none-any.whl.metadata (7.8 kB) 2025-06-05T18:59:54.9112500Z Collecting pytest-cov==4.1.0 (from -r requirements-ci.txt (line 13)) 2025-06-05T18:59:54.9112820Z Using cached pytest_cov-4.1.0-py3-none-any.whl.metadata (26 kB) 2025-06-05T18:59:54.9113150Z Collecting expecttest==0.1.6 (from -r requirements-ci.txt (line 14)) 2025-06-05T18:59:54.9113480Z Using cached expecttest-0.1.6-py3-none-any.whl.metadata (2.5 kB) 2025-06-05T18:59:54.9113810Z Collecting hypothesis==6.84.2 (from -r requirements-ci.txt (line 15)) 2025-06-05T18:59:54.9114200Z Using cached hypothesis-6.84.2-py3-none-any.whl.metadata (5.9 kB) 2025-06-05T18:59:54.9114590Z Collecting parameterized==0.9.0 (from -r requirements-ci.txt (line 16)) 2025-06-05T18:59:54.9114950Z Using cached parameterized-0.9.0-py2.py3-none-any.whl.metadata (18 kB) 2025-06-05T18:59:54.9115290Z Collecting sphinx==5.3.0 (from -r requirements-ci.txt (line 19)) 2025-06-05T18:59:54.9115610Z Using cached sphinx-5.3.0-py3-none-any.whl.metadata (6.4 kB) 2025-06-05T18:59:54.9115940Z Collecting sphinx-reredirects==0.1.4 (from -r requirements-ci.txt (line 20)) 2025-06-05T18:59:54.9116310Z Using cached sphinx_reredirects-0.1.4-py3-none-any.whl.metadata (2.6 kB) 2025-06-05T18:59:54.9116680Z Collecting sphinx-gallery==0.14.0 (from -r requirements-ci.txt (line 21)) 2025-06-05T18:59:54.9117030Z Using cached sphinx_gallery-0.14.0-py3-none-any.whl.metadata (5.9 kB) 2025-06-05T18:59:54.9117360Z Collecting breathe==4.34.0 (from -r requirements-ci.txt (line 22)) 2025-06-05T18:59:54.9117680Z Using cached breathe-4.34.0-py3-none-any.whl.metadata (968 bytes) 2025-06-05T18:59:54.9118010Z Collecting exhale==0.2.3 (from -r requirements-ci.txt (line 23)) 2025-06-05T18:59:54.9118320Z Using cached exhale-0.2.3-py2.py3-none-any.whl.metadata (15 kB) 2025-06-05T18:59:54.9118660Z Collecting docutils==0.16 (from -r requirements-ci.txt (line 24)) 2025-06-05T18:59:54.9118990Z Using cached docutils-0.16-py2.py3-none-any.whl.metadata (2.7 kB) 2025-06-05T18:59:54.9119320Z Collecting matplotlib>=3.9.4 (from -r requirements-ci.txt (line 25)) 2025-06-05T18:59:54.9119680Z Using cached matplotlib-3.10.3-cp311-cp311-macosx_11_0_arm64.whl.metadata (11 kB) 2025-06-05T18:59:54.9120050Z Collecting myst-parser==0.18.1 (from -r requirements-ci.txt (line 28)) 2025-06-05T18:59:54.9120390Z Using cached myst_parser-0.18.1-py3-none-any.whl.metadata (5.1 kB) 2025-06-05T18:59:54.9120720Z Collecting sphinx_design==0.4.1 (from -r requirements-ci.txt (line 29)) 2025-06-05T18:59:54.9133530Z Using cached sphinx_design-0.4.1-py3-none-any.whl.metadata (5.2 kB) 2025-06-05T18:59:54.9133890Z Collecting sphinx-copybutton==0.5.0 (from -r requirements-ci.txt (line 30)) 2025-06-05T18:59:54.9134260Z Using cached sphinx_copybutton-0.5.0-py3-none-any.whl.metadata (3.2 kB) 2025-06-05T18:59:54.9134660Z Collecting ruamel.yaml.clib>=0.2.7 (from ruamel.yaml==0.17.32->-r requirements-ci.txt (line 4)) 2025-06-05T18:59:54.9135070Z Using cached ruamel.yaml.clib-0.2.12-cp311-cp311-macosx_13_0_arm64.whl.metadata (2.7 kB) 2025-06-05T18:59:54.9135440Z Collecting torch>=1.7 (from timm==0.6.13->-r requirements-ci.txt (line 6)) 2025-06-05T18:59:54.9135770Z Using cached torch-2.7.1-cp311-none-macosx_11_0_arm64.whl.metadata (29 kB) 2025-06-05T18:59:54.9136120Z Collecting torchvision (from timm==0.6.13->-r requirements-ci.txt (line 6)) 2025-06-05T18:59:54.9136480Z Using cached torchvision-0.22.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (6.1 kB) 2025-06-05T19:00:16.0601310Z Collecting huggingface-hub (from timm==0.6.13->-r requirements-ci.txt (line 6)) 2025-06-05T19:00:16.0602640Z Using cached huggingface_hub-0.32.4-py3-none-any.whl.metadata (14 kB) 2025-06-05T19:00:16.0603100Z Collecting filelock (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0603510Z Using cached filelock-3.18.0-py3-none-any.whl.metadata (2.9 kB) 2025-06-05T19:00:16.0603890Z Collecting packaging>=20.0 (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0604270Z Using cached packaging-25.0-py3-none-any.whl.metadata (3.3 kB) 2025-06-05T19:00:16.0604660Z Collecting regex!=2019.12.17 (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0605050Z Using cached regex-2024.11.6-cp311-cp311-macosx_11_0_arm64.whl.metadata (40 kB) 2025-06-05T19:00:16.0605440Z Collecting requests (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0605790Z Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) 2025-06-05T19:00:16.0606180Z Collecting tokenizers<0.22,>=0.21 (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0606690Z Using cached tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl.metadata (6.8 kB) 2025-06-05T19:00:16.0607090Z Collecting safetensors>=0.4.1 (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0607510Z Using cached safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl.metadata (3.8 kB) 2025-06-05T19:00:16.0607880Z Collecting tqdm>=4.27 (from transformers==4.47.1->-r requirements-ci.txt (line 9)) 2025-06-05T19:00:16.0608220Z Using cached tqdm-4.67.1-py3-none-any.whl.metadata (57 kB) 2025-06-05T19:00:16.0608550Z Collecting attrs>=19.2.0 (from pytest==7.2.0->-r requirements-ci.txt (line 12)) 2025-06-05T19:00:16.0608870Z Using cached attrs-25.3.0-py3-none-any.whl.metadata (10 kB) 2025-06-05T19:00:16.0609200Z Collecting iniconfig (from pytest==7.2.0->-r requirements-ci.txt (line 12)) 2025-06-05T19:00:16.0609530Z Using cached iniconfig-2.1.0-py3-none-any.whl.metadata (2.7 kB) 2025-06-05T19:00:16.0609860Z Collecting pluggy<2.0,>=0.12 (from pytest==7.2.0->-r requirements-ci.txt (line 12)) 2025-06-05T19:00:16.0610180Z Using cached pluggy-1.6.0-py3-none-any.whl.metadata (4.8 kB) 2025-06-05T19:00:16.0610550Z Collecting coverage>=5.2.1 (from coverage[toml]>=5.2.1->pytest-cov==4.1.0->-r requirements-ci.txt (line 13)) 2025-06-05T19:00:16.0610970Z Using cached coverage-7.8.2-cp311-cp311-macosx_11_0_arm64.whl.metadata (8.9 kB) 2025-06-05T19:00:16.0611430Z Collecting sortedcontainers<3.0.0,>=2.1.0 (from hypothesis==6.84.2->-r requirements-ci.txt (line 15)) 2025-06-05T19:00:16.0611860Z Using cached sortedcontainers-2.4.0-py2.py3-none-any.whl.metadata (10 kB) 2025-06-05T19:00:16.0612270Z Collecting sphinxcontrib-applehelp (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0612700Z Using cached sphinxcontrib_applehelp-2.0.0-py3-none-any.whl.metadata (2.3 kB) 2025-06-05T19:00:16.0613110Z Collecting sphinxcontrib-devhelp (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0613510Z Using cached sphinxcontrib_devhelp-2.0.0-py3-none-any.whl.metadata (2.3 kB) 2025-06-05T19:00:16.0613930Z Collecting sphinxcontrib-jsmath (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 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2025-06-05T19:00:16.0618140Z Collecting Pygments>=2.12 (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0618480Z Using cached pygments-2.19.1-py3-none-any.whl.metadata (2.5 kB) 2025-06-05T19:00:16.0618820Z Collecting snowballstemmer>=2.0 (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0619210Z Using cached snowballstemmer-3.0.1-py3-none-any.whl.metadata (7.9 kB) 2025-06-05T19:00:16.0619580Z Collecting babel>=2.9 (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0619910Z Using cached babel-2.17.0-py3-none-any.whl.metadata (2.0 kB) 2025-06-05T19:00:16.0620260Z Collecting alabaster<0.8,>=0.7 (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0620610Z Using cached alabaster-0.7.16-py3-none-any.whl.metadata (2.9 kB) 2025-06-05T19:00:16.0620950Z Collecting imagesize>=1.3 (from sphinx==5.3.0->-r requirements-ci.txt (line 19)) 2025-06-05T19:00:16.0621410Z Using cached imagesize-1.4.1-py2.py3-none-any.whl.metadata (1.5 kB) 2025-06-05T19:00:16.0621760Z Collecting bs4 (from exhale==0.2.3->-r requirements-ci.txt (line 23)) 2025-06-05T19:00:16.0622090Z Using cached bs4-0.0.2-py2.py3-none-any.whl.metadata (411 bytes) 2025-06-05T19:00:16.0622400Z Collecting lxml (from exhale==0.2.3->-r requirements-ci.txt (line 23)) 2025-06-05T19:00:16.0622740Z Using cached lxml-5.4.0-cp311-cp311-macosx_10_9_universal2.whl.metadata (3.5 kB) 2025-06-05T19:00:16.0623090Z Collecting six (from exhale==0.2.3->-r requirements-ci.txt (line 23)) 2025-06-05T19:00:16.0623390Z Using cached six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB) 2025-06-05T19:00:16.0623760Z Collecting markdown-it-py<3.0.0,>=1.0.0 (from myst-parser==0.18.1->-r requirements-ci.txt (line 28)) 2025-06-05T19:00:16.0624150Z Using cached markdown_it_py-2.2.0-py3-none-any.whl.metadata (6.8 kB) 2025-06-05T19:00:16.0624520Z Collecting mdit-py-plugins~=0.3.1 (from myst-parser==0.18.1->-r requirements-ci.txt (line 28)) 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2025-06-05T19:00:47.6286750Z Using cached sphinxcontrib_qthelp-2.0.0-py3-none-any.whl (88 kB) 2025-06-05T19:00:47.6287050Z Building wheels for collected packages: pytorch_sphinx_theme 2025-06-05T19:00:47.6287350Z Building editable for pytorch_sphinx_theme (pyproject.toml): started 2025-06-05T19:00:47.6287710Z Building editable for pytorch_sphinx_theme (pyproject.toml): finished with status 'done' 2025-06-05T19:00:47.6288460Z Created wheel for pytorch_sphinx_theme: filename=pytorch_sphinx_theme-0.0.24-0.editable-py2.py3-none-any.whl size=4416 sha256=47119987deb3bd5cdf7e14ee175d5959ed1796a4d8203387c5440fad6d23ed7c 2025-06-05T19:00:47.6289440Z Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-nzwihwab/wheels/ee/21/d2/94f890e3a15f79b31e4ecf0483ad9f634ae7a8bc00fb05015a 2025-06-05T19:00:47.6290010Z Successfully built pytorch_sphinx_theme 2025-06-05T19:00:47.6292390Z Installing collected packages: zstd, sortedcontainers, pytz, mpmath, urllib3, tzdata, typing-extensions, tqdm, tomli, sympy, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, soupsieve, snowballstemmer, six, safetensors, ruamel.yaml.clib, regex, PyYAML, pyparsing, Pygments, pluggy, pillow, parameterized, packaging, numpy, networkx, mdurl, MarkupSafe, lxml, kiwisolver, iniconfig, imagesize, idna, hf-xet, fsspec, fonttools, filelock, expecttest, docutils, cycler, coverage, charset-normalizer, certifi, babel, attrs, alabaster, ruamel.yaml, requests, python-dateutil, pytest, markdown-it-py, Jinja2, hypothesis, contourpy, beautifulsoup4, torch, sphinx, pytest-cov, pandas, mdit-py-plugins, matplotlib, huggingface-hub, bs4, torchvision, tokenizers, sphinx-reredirects, sphinx-gallery, sphinx_design, sphinx-copybutton, pytorch_sphinx_theme, myst-parser, breathe, transformers, torchsr, timm, exhale 2025-06-05T19:00:47.6298670Z Successfully installed Jinja2-3.1.6 MarkupSafe-3.0.2 PyYAML-6.0.1 Pygments-2.19.1 alabaster-0.7.16 attrs-25.3.0 babel-2.17.0 beautifulsoup4-4.13.4 breathe-4.34.0 bs4-0.0.2 certifi-2025.4.26 charset-normalizer-3.4.2 contourpy-1.3.2 coverage-7.8.2 cycler-0.12.1 docutils-0.16 exhale-0.2.3 expecttest-0.1.6 filelock-3.18.0 fonttools-4.58.1 fsspec-2025.5.1 hf-xet-1.1.3 huggingface-hub-0.32.4 hypothesis-6.84.2 idna-3.10 imagesize-1.4.1 iniconfig-2.1.0 kiwisolver-1.4.8 lxml-5.4.0 markdown-it-py-2.2.0 matplotlib-3.10.3 mdit-py-plugins-0.3.5 mdurl-0.1.2 mpmath-1.3.0 myst-parser-0.18.1 networkx-3.5 numpy-2.2.6 packaging-25.0 pandas-2.3.0 parameterized-0.9.0 pillow-11.2.1 pluggy-1.6.0 pyparsing-3.2.3 pytest-7.2.0 pytest-cov-4.1.0 python-dateutil-2.9.0.post0 pytorch_sphinx_theme-0.0.24 pytz-2025.2 regex-2024.11.6 requests-2.32.3 ruamel.yaml-0.17.32 ruamel.yaml.clib-0.2.12 safetensors-0.5.3 six-1.17.0 snowballstemmer-3.0.1 sortedcontainers-2.4.0 soupsieve-2.7 sphinx-5.3.0 sphinx-copybutton-0.5.0 sphinx-gallery-0.14.0 sphinx-reredirects-0.1.4 sphinx_design-0.4.1 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 sympy-1.12 timm-0.6.13 tokenizers-0.21.1 tomli-2.0.1 torch-2.4.1 torchsr-1.0.4 torchvision-0.19.1 tqdm-4.67.1 transformers-4.47.1 typing-extensions-4.14.0 tzdata-2025.2 urllib3-2.4.0 zstd-1.5.5.1 2025-06-05T19:01:04.5858430Z + popd 2025-06-05T19:01:04.5858660Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:01:04.5858880Z + [[ -z '' ]] 2025-06-05T19:01:04.5859000Z + install_sccache 2025-06-05T19:01:04.5859210Z + export SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-06-05T19:01:04.5859480Z + SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-06-05T19:01:04.5859700Z + export SCCACHE_S3_KEY_PREFIX=executorch 2025-06-05T19:01:04.5859900Z + SCCACHE_S3_KEY_PREFIX=executorch 2025-06-05T19:01:04.5860070Z + export SCCACHE_IDLE_TIMEOUT=0 2025-06-05T19:01:04.5860230Z + SCCACHE_IDLE_TIMEOUT=0 2025-06-05T19:01:04.5860410Z + export SCCACHE_ERROR_LOG=/tmp/sccache_error.log 2025-06-05T19:01:04.5860620Z + SCCACHE_ERROR_LOG=/tmp/sccache_error.log 2025-06-05T19:01:04.5860840Z + export RUST_LOG=sccache::server=error 2025-06-05T19:01:04.5861030Z + RUST_LOG=sccache::server=error 2025-06-05T19:01:04.5861190Z + SCCACHE_PATH=/usr/local/bin 2025-06-05T19:01:04.5861350Z + command -v sccache 2025-06-05T19:01:04.5863400Z + export PATH=/usr/local/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin 2025-06-05T19:01:04.5866430Z + PATH=/usr/local/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin 2025-06-05T19:01:04.5867910Z + '[' -z '' ']' 2025-06-05T19:01:04.5868030Z ++ mktemp -d 2025-06-05T19:01:04.5868320Z + TMP_DIR=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3 2025-06-05T19:01:04.5868590Z + trap 'rm -rfv ${TMP_DIR}' EXIT 2025-06-05T19:01:04.5870280Z + export PATH=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3:/usr/local/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin 2025-06-05T19:01:04.5873480Z + PATH=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3:/usr/local/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin 2025-06-05T19:01:04.5875280Z + write_sccache_stub /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ 2025-06-05T19:01:04.5875680Z + OUTPUT=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ 2025-06-05T19:01:04.5876060Z ++ basename /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ 2025-06-05T19:01:04.5876320Z + BINARY=c++ 2025-06-05T19:01:04.5876420Z ++ which c++ 2025-06-05T19:01:04.5876530Z ++ which c++ 2025-06-05T19:01:04.5876940Z + printf '#!/bin/sh\nif [ $(ps auxc $(ps auxc -o ppid $$ | grep $$ | rev | cut -d'\'' '\'' -f1 | rev) | tr '\''\\n'\'' '\'' '\'' | rev | cut -d'\'' '\'' -f2 | rev) != sccache ]; then\n exec sccache %s "$@"\nelse\n exec %s "$@"\nfi' /usr/bin/c++ /usr/bin/c++ 2025-06-05T19:01:04.5877480Z + chmod a+x /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ 2025-06-05T19:01:04.5877870Z + write_sccache_stub /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:01:04.5878260Z + OUTPUT=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:01:04.5878630Z ++ basename /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:01:04.5878890Z + BINARY=cc 2025-06-05T19:01:04.5878990Z ++ which cc 2025-06-05T19:01:04.5879090Z ++ which cc 2025-06-05T19:01:04.5885070Z + printf '#!/bin/sh\nif [ $(ps auxc $(ps auxc -o ppid $$ | grep $$ | rev | cut -d'\'' '\'' -f1 | rev) | tr '\''\\n'\'' '\'' '\'' | rev | cut -d'\'' '\'' -f2 | rev) != sccache ]; then\n exec sccache %s "$@"\nelse\n exec %s "$@"\nfi' /usr/bin/cc /usr/bin/cc 2025-06-05T19:01:04.5885690Z + chmod a+x /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:01:04.5886120Z + write_sccache_stub /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang++ 2025-06-05T19:01:04.5886560Z + OUTPUT=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang++ 2025-06-05T19:01:04.5886950Z ++ basename /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang++ 2025-06-05T19:01:04.5887220Z + BINARY=clang++ 2025-06-05T19:01:04.5887340Z ++ which clang++ 2025-06-05T19:01:04.5887460Z ++ which clang++ 2025-06-05T19:01:04.5887860Z + printf '#!/bin/sh\nif [ $(ps auxc $(ps auxc -o ppid $$ | grep $$ | rev | cut -d'\'' '\'' -f1 | rev) | tr '\''\\n'\'' '\'' '\'' | rev | cut -d'\'' '\'' -f2 | rev) != sccache ]; then\n exec sccache %s "$@"\nelse\n exec %s "$@"\nfi' /usr/bin/clang++ /usr/bin/clang++ 2025-06-05T19:01:04.5888420Z + chmod a+x /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang++ 2025-06-05T19:01:04.5888910Z + write_sccache_stub /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang 2025-06-05T19:01:04.5889320Z + OUTPUT=/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang 2025-06-05T19:01:04.5889700Z ++ basename /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang 2025-06-05T19:01:04.5889970Z + BINARY=clang 2025-06-05T19:01:04.5890080Z ++ which clang 2025-06-05T19:01:04.5890190Z ++ which clang 2025-06-05T19:01:04.5890580Z + printf '#!/bin/sh\nif [ $(ps auxc $(ps auxc -o ppid $$ | grep $$ | rev | cut -d'\'' '\'' -f1 | rev) | tr '\''\\n'\'' '\'' '\'' | rev | cut -d'\'' '\'' -f2 | rev) != sccache ]; then\n exec sccache %s "$@"\nelse\n exec %s "$@"\nfi' /usr/bin/clang /usr/bin/clang 2025-06-05T19:01:04.5891130Z + chmod a+x /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang 2025-06-05T19:01:04.5891400Z + sccache --zero-stats 2025-06-05T19:01:04.5891540Z Compile requests 0 2025-06-05T19:01:04.5891730Z Compile requests executed 0 2025-06-05T19:01:04.5891900Z Cache hits 0 2025-06-05T19:01:04.5892070Z Cache misses 0 2025-06-05T19:01:04.5892240Z Cache timeouts 0 2025-06-05T19:01:04.5892410Z Cache read errors 0 2025-06-05T19:01:04.5892580Z Forced recaches 0 2025-06-05T19:01:04.5892750Z Cache write errors 0 2025-06-05T19:01:04.5892930Z Compilation failures 0 2025-06-05T19:01:04.5893100Z Cache errors 0 2025-06-05T19:01:04.5893270Z Non-cacheable compilations 0 2025-06-05T19:01:04.5893450Z Non-cacheable calls 0 2025-06-05T19:01:04.5893620Z Non-compilation calls 0 2025-06-05T19:01:04.5893800Z Unsupported compiler calls 0 2025-06-05T19:01:04.5893970Z Average cache write 0.000 s 2025-06-05T19:01:04.5894160Z Average compiler 0.000 s 2025-06-05T19:01:04.5894340Z Average cache read hit 0.000 s 2025-06-05T19:01:04.5894520Z Failed distributed compilations 0 2025-06-05T19:01:04.5894820Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: /executorch/ 2025-06-05T19:01:04.5895100Z Version (client) 0.4.1 2025-06-05T19:01:04.5895260Z + print_cmake_info 2025-06-05T19:01:04.5895370Z ++ which cmake 2025-06-05T19:01:04.5895600Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5895980Z + echo /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5896320Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5896560Z + export CMAKE_EXEC 2025-06-05T19:01:04.5896890Z + install_name_tool -add_rpath @executable_path/../lib /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5897770Z /Library/Developer/CommandLineTools/usr/bin/install_name_tool: warning: changes being made to the file will invalidate the code signature in: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5898510Z + codesign -f -s - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake 2025-06-05T19:01:04.5898950Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/cmake: replacing existing signature 2025-06-05T19:01:04.5899280Z + install_pytorch_and_domains 2025-06-05T19:01:04.5899420Z + pushd .ci/docker 2025-06-05T19:01:04.5899770Z ~/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:01:04.5900160Z ++ cat ci_commit_pins/pytorch.txt 2025-06-05T19:01:04.5900370Z + TORCH_VERSION=5616fa4a68718ead203314a3467f7dd9547153ae 2025-06-05T19:01:04.5900560Z + popd 2025-06-05T19:01:04.5900710Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:01:04.5900960Z + git clone https://github.com/pytorch/pytorch.git 2025-06-05T19:01:04.5901210Z Cloning into 'pytorch'... 2025-06-05T19:01:04.5901360Z Updating files: 74% (13356/17857) 2025-06-05T19:01:04.5901520Z Updating files: 75% (13393/17857) 2025-06-05T19:01:04.5901680Z Updating files: 76% (13572/17857) 2025-06-05T19:01:04.5901840Z Updating files: 77% (13750/17857) 2025-06-05T19:01:04.5901990Z Updating files: 78% (13929/17857) 2025-06-05T19:01:04.5902150Z Updating files: 79% (14108/17857) 2025-06-05T19:01:04.5902300Z Updating files: 80% (14286/17857) 2025-06-05T19:01:04.5902450Z Updating files: 81% (14465/17857) 2025-06-05T19:01:04.5902610Z Updating files: 82% (14643/17857) 2025-06-05T19:01:04.5902760Z Updating files: 83% (14822/17857) 2025-06-05T19:01:04.5902910Z Updating files: 84% (15000/17857) 2025-06-05T19:01:04.5903070Z Updating files: 85% (15179/17857) 2025-06-05T19:01:04.5903220Z Updating files: 86% (15358/17857) 2025-06-05T19:02:54.3973110Z Updating files: 87% (15536/17857) 2025-06-05T19:02:54.3973360Z Updating files: 88% (15715/17857) 2025-06-05T19:02:54.3973540Z Updating files: 89% (15893/17857) 2025-06-05T19:02:54.3973730Z Updating files: 90% (16072/17857) 2025-06-05T19:02:54.3973900Z Updating files: 91% (16250/17857) 2025-06-05T19:02:54.3974080Z Updating files: 92% (16429/17857) 2025-06-05T19:02:54.3974250Z Updating files: 93% (16608/17857) 2025-06-05T19:02:54.3974430Z Updating files: 93% (16693/17857) 2025-06-05T19:02:54.3974610Z Updating files: 94% (16786/17857) 2025-06-05T19:02:54.3974780Z Updating files: 95% (16965/17857) 2025-06-05T19:02:54.3974960Z Updating files: 96% (17143/17857) 2025-06-05T19:02:54.3975130Z Updating files: 97% (17322/17857) 2025-06-05T19:02:54.3975310Z Updating files: 98% (17500/17857) 2025-06-05T19:02:54.3975480Z Updating files: 99% (17679/17857) 2025-06-05T19:02:54.3975660Z Updating files: 100% (17857/17857) 2025-06-05T19:02:54.3975840Z Updating files: 100% (17857/17857), done. 2025-06-05T19:02:54.3976040Z + pushd pytorch 2025-06-05T19:02:54.3976460Z ~/runner/_work/executorch/executorch/pytorch/executorch/pytorch ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:02:54.3976950Z + git checkout 5616fa4a68718ead203314a3467f7dd9547153ae 2025-06-05T19:02:54.3977240Z Note: switching to '5616fa4a68718ead203314a3467f7dd9547153ae'. 2025-06-05T19:02:54.3977430Z 2025-06-05T19:02:54.3977570Z You are in 'detached HEAD' state. You can look around, make experimental 2025-06-05T19:02:54.3977930Z changes and commit them, and you can discard any commits you make in this 2025-06-05T19:02:54.3978290Z state without impacting any branches by switching back to a branch. 2025-06-05T19:02:54.3978500Z 2025-06-05T19:02:54.3978630Z If you want to create a new branch to retain commits you create, you may 2025-06-05T19:02:54.3978960Z do so (now or later) by using -c with the switch command. Example: 2025-06-05T19:02:54.3979150Z 2025-06-05T19:02:54.3979220Z git switch -c 2025-06-05T19:02:54.3979350Z 2025-06-05T19:02:54.3979410Z Or undo this operation with: 2025-06-05T19:02:54.3987500Z 2025-06-05T19:02:54.3987570Z git switch - 2025-06-05T19:02:54.3987660Z 2025-06-05T19:02:54.3987820Z Turn off this advice by setting config variable advice.detachedHead to false 2025-06-05T19:02:54.3988050Z 2025-06-05T19:02:54.3988200Z HEAD is now at 5616fa4a687 [Submodule] Bump flatbuffers to v24.12.23 (#143964) 2025-06-05T19:02:54.3988460Z ++ uname 2025-06-05T19:02:54.3988590Z + local system_name=Darwin 2025-06-05T19:02:54.3988760Z + [[ Darwin == \D\a\r\w\i\n ]] 2025-06-05T19:02:54.3989260Z ++ python -c 'import sysconfig; import platform; v=platform.mac_ver()[0].split(".")[0]; platform=sysconfig.get_platform().split("-"); platform[1]=f"{v}_0"; print("_".join(platform))' 2025-06-05T19:02:54.3989790Z + local platform=macosx_14_0_arm64 2025-06-05T19:02:54.3990090Z ++ python -c 'import platform; v=platform.python_version_tuple(); print(f"{v[0]}{v[1]}")' 2025-06-05T19:02:54.3990410Z + local python_version=311 2025-06-05T19:02:54.3990560Z ++ cat version.txt 2025-06-05T19:02:54.3990710Z + local torch_release=2.8.0a0 2025-06-05T19:02:54.3990960Z + local torch_short_hash=5616fa4 2025-06-05T19:02:54.3991270Z + local torch_wheel_path=cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311 2025-06-05T19:02:54.3991700Z + local torch_wheel_name=torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl 2025-06-05T19:02:54.3992470Z + local cached_torch_wheel=https://gha-artifacts.s3.us-east-1.amazonaws.com/cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311/torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl 2025-06-05T19:02:54.3993100Z + local torch_wheel_not_found=0 2025-06-05T19:02:54.3993270Z + [[ Darwin == \D\a\r\w\i\n ]] 2025-06-05T19:02:54.3993850Z + pip install https://gha-artifacts.s3.us-east-1.amazonaws.com/cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311/torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl 2025-06-05T19:02:54.3994440Z Collecting torch==2.8.0a0+git5616fa4 2025-06-05T19:02:54.3995070Z Using cached https://gha-artifacts.s3.us-east-1.amazonaws.com/cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311/torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl (106.8 MB) 2025-06-05T19:02:54.3996070Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch==2.8.0a0+git5616fa4) (3.18.0) 2025-06-05T19:02:54.3997020Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch==2.8.0a0+git5616fa4) (4.14.0) 2025-06-05T19:02:54.3997660Z Collecting sympy>=1.13.3 (from torch==2.8.0a0+git5616fa4) 2025-06-05T19:02:54.3997960Z Using cached sympy-1.14.0-py3-none-any.whl.metadata (12 kB) 2025-06-05T19:02:54.3998570Z Requirement already satisfied: networkx in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch==2.8.0a0+git5616fa4) (3.5) 2025-06-05T19:02:54.3999470Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch==2.8.0a0+git5616fa4) (3.1.6) 2025-06-05T19:02:54.4000380Z Requirement already satisfied: fsspec in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch==2.8.0a0+git5616fa4) (2025.5.1) 2025-06-05T19:02:54.4001330Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from sympy>=1.13.3->torch==2.8.0a0+git5616fa4) (1.3.0) 2025-06-05T19:02:54.4002310Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from jinja2->torch==2.8.0a0+git5616fa4) (3.0.2) 2025-06-05T19:02:54.4002930Z Using cached sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-06-05T19:02:54.4003170Z Installing collected packages: sympy, torch 2025-06-05T19:02:54.4003520Z Attempting uninstall: sympy 2025-06-05T19:02:54.4003760Z Found existing installation: sympy 1.12 2025-06-05T19:02:54.4003970Z Uninstalling sympy-1.12: 2025-06-05T19:02:54.4004150Z Successfully uninstalled sympy-1.12 2025-06-05T19:02:54.4004360Z Attempting uninstall: torch 2025-06-05T19:02:54.4004550Z Found existing installation: torch 2.4.1 2025-06-05T19:02:54.4004750Z Uninstalling torch-2.4.1: 2025-06-05T19:02:54.4004940Z Successfully uninstalled torch-2.4.1 2025-06-05T19:02:54.4005070Z 2025-06-05T19:02:54.4005470Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-06-05T19:02:54.4006140Z torchvision 0.19.1 requires torch==2.4.1, but you have torch 2.8.0a0+git5616fa4 which is incompatible. 2025-06-05T19:02:54.4006540Z Successfully installed sympy-1.14.0 torch-2.8.0a0+git5616fa4 2025-06-05T19:02:54.4006780Z + [[ 0 == \1 ]] 2025-06-05T19:02:54.4007360Z + echo 'Use cached wheel at https://gha-artifacts.s3.us-east-1.amazonaws.com/cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311/torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl' 2025-06-05T19:02:54.4008450Z Use cached wheel at https://gha-artifacts.s3.us-east-1.amazonaws.com/cached_artifacts/pytorch/executorch/pytorch_wheels/Darwin/311/torch-2.8.0a0%2Bgit5616fa4-cp311-cp311-macosx_14_0_arm64.whl 2025-06-05T19:02:54.4009060Z ++ cat .github/ci_commit_pins/audio.txt 2025-06-05T19:02:54.4009320Z + TORCHAUDIO_VERSION=1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4009560Z + export TORCHAUDIO_VERSION 2025-06-05T19:02:54.4009740Z ++ cat .github/ci_commit_pins/vision.txt 2025-06-05T19:02:54.4010000Z + TORCHVISION_VERSION=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:54.4010260Z + export TORCHVISION_VERSION 2025-06-05T19:02:54.4010420Z + install_domains 2025-06-05T19:02:54.4010570Z + echo 'Install torchvision and torchaudio' 2025-06-05T19:02:54.4010780Z Install torchvision and torchaudio 2025-06-05T19:02:54.4011190Z + pip install --no-use-pep517 --user git+https://github.com/pytorch/audio.git@1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4011740Z Collecting git+https://github.com/pytorch/audio.git@1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4012510Z Cloning https://github.com/pytorch/audio.git (to revision 1a8f6213b0b61efc6a4862bc45b853551a93dbb6) to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-6smoc4ap 2025-06-05T19:02:54.4013470Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-6smoc4ap 2025-06-05T19:02:54.4014160Z Running command git rev-parse -q --verify 'sha^1a8f6213b0b61efc6a4862bc45b853551a93dbb6' 2025-06-05T19:02:54.4014620Z Running command git fetch -q https://github.com/pytorch/audio.git 1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4015040Z Running command git checkout -q 1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4015450Z Resolved https://github.com/pytorch/audio.git to commit 1a8f6213b0b61efc6a4862bc45b853551a93dbb6 2025-06-05T19:02:54.4015820Z Running command git submodule update --init --recursive -q 2025-06-05T19:02:54.4016060Z Preparing metadata (setup.py): started 2025-06-05T19:02:54.4016300Z Preparing metadata (setup.py): finished with status 'done' 2025-06-05T19:02:54.4016900Z Requirement already satisfied: torch in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torchaudio==2.6.0a0+1a8f621) (2.8.0a0+git5616fa4) 2025-06-05T19:02:54.4017790Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (3.18.0) 2025-06-05T19:02:54.4018840Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (4.14.0) 2025-06-05T19:02:54.4019810Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (1.14.0) 2025-06-05T19:02:54.4020690Z Requirement already satisfied: networkx in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (3.5) 2025-06-05T19:02:54.4021560Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (3.1.6) 2025-06-05T19:02:54.4022430Z Requirement already satisfied: fsspec in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchaudio==2.6.0a0+1a8f621) (2025.5.1) 2025-06-05T19:02:54.4023350Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from sympy>=1.13.3->torch->torchaudio==2.6.0a0+1a8f621) (1.3.0) 2025-06-05T19:02:55.9049970Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from jinja2->torch->torchaudio==2.6.0a0+1a8f621) (3.0.2) 2025-06-05T19:02:55.9050660Z Building wheels for collected packages: torchaudio 2025-06-05T19:02:55.9052010Z DEPRECATION: Building 'torchaudio' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchaudio'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-06-05T19:02:55.9053290Z Building wheel for torchaudio (setup.py): started 2025-06-05T19:02:55.9053600Z Building wheel for torchaudio (setup.py): still running... 2025-06-05T19:02:55.9053940Z Building wheel for torchaudio (setup.py): finished with status 'done' 2025-06-05T19:02:55.9054620Z Created wheel for torchaudio: filename=torchaudio-2.6.0a0+1a8f621-cp311-cp311-macosx_14_0_arm64.whl size=1500832 sha256=4f808f2286e389c6a3653a6a56ba514e4fda2efe504b51e5fccaba7f078b515c 2025-06-05T19:02:55.9055450Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/36/28/91/09eda875313ad59986bbcc245856020640d0057c534244677b 2025-06-05T19:02:55.9055890Z Successfully built torchaudio 2025-06-05T19:02:55.9056090Z Installing collected packages: torchaudio 2025-06-05T19:02:55.9056330Z Successfully installed torchaudio-2.6.0a0+1a8f621 2025-06-05T19:02:55.9056790Z + pip install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:55.9057350Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:55.9058120Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-87wbqris 2025-06-05T19:02:55.9059110Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-req-build-87wbqris 2025-06-05T19:02:55.9059800Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-06-05T19:02:55.9060310Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:55.9060770Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:55.9061210Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-06-05T19:02:55.9061580Z Preparing metadata (setup.py): started 2025-06-05T19:02:55.9077550Z Preparing metadata (setup.py): finished with status 'done' 2025-06-05T19:02:55.9078360Z Requirement already satisfied: numpy in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torchvision==0.22.0a0+966da7e) (2.2.6) 2025-06-05T19:02:55.9079320Z Requirement already satisfied: torch in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torchvision==0.22.0a0+966da7e) (2.8.0a0+git5616fa4) 2025-06-05T19:02:55.9080300Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torchvision==0.22.0a0+966da7e) (11.2.1) 2025-06-05T19:02:55.9081270Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (3.18.0) 2025-06-05T19:02:55.9082300Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (4.14.0) 2025-06-05T19:02:55.9178420Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (1.14.0) 2025-06-05T19:02:55.9179460Z Requirement already satisfied: networkx in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (3.5) 2025-06-05T19:02:55.9180490Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (3.1.6) 2025-06-05T19:02:55.9181520Z Requirement already satisfied: fsspec in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from torch->torchvision==0.22.0a0+966da7e) (2025.5.1) 2025-06-05T19:02:55.9182610Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from sympy>=1.13.3->torch->torchvision==0.22.0a0+966da7e) (1.3.0) 2025-06-05T19:02:55.9183720Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from jinja2->torch->torchvision==0.22.0a0+966da7e) (3.0.2) 2025-06-05T19:02:55.9184420Z Building wheels for collected packages: torchvision 2025-06-05T19:02:55.9185800Z DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-06-05T19:02:55.9187150Z Building wheel for torchvision (setup.py): started 2025-06-05T19:02:55.9187490Z Building wheel for torchvision (setup.py): finished with status 'done' 2025-06-05T19:02:55.9188210Z Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp311-cp311-macosx_11_0_arm64.whl size=1106078 sha256=da732635cb61b0b64e63b2c5706b43f001adf1bef683063552b71db54243e758 2025-06-05T19:02:55.9189090Z Stored in directory: /Users/ec2-user/Library/Caches/pip/wheels/a6/a4/06/032a2b7135692d072a6867803e54f7f6828ae4811527ff71e0 2025-06-05T19:02:55.9189560Z Successfully built torchvision 2025-06-05T19:02:55.9189780Z Installing collected packages: torchvision 2025-06-05T19:02:55.9190040Z Successfully installed torchvision-0.22.0a0+966da7e 2025-06-05T19:02:55.9190270Z + popd 2025-06-05T19:02:55.9190460Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:02:55.9190700Z + sccache --show-stats 2025-06-05T19:02:55.9264190Z Compile requests 150 2025-06-05T19:02:55.9264580Z Compile requests executed 105 2025-06-05T19:02:55.9264820Z Cache hits 10 2025-06-05T19:02:55.9265050Z Cache hits (C/C++) 10 2025-06-05T19:02:55.9265270Z Cache misses 95 2025-06-05T19:02:55.9265490Z Cache misses (C/C++) 95 2025-06-05T19:02:55.9265710Z Cache timeouts 0 2025-06-05T19:02:55.9265930Z Cache read errors 0 2025-06-05T19:02:55.9266150Z Forced recaches 0 2025-06-05T19:02:55.9266360Z Cache write errors 0 2025-06-05T19:02:55.9266580Z Compilation failures 0 2025-06-05T19:02:55.9266800Z Cache errors 0 2025-06-05T19:02:55.9267020Z Non-cacheable compilations 0 2025-06-05T19:02:55.9267250Z Non-cacheable calls 38 2025-06-05T19:02:55.9267470Z Non-compilation calls 7 2025-06-05T19:02:55.9267700Z Unsupported compiler calls 0 2025-06-05T19:02:55.9267940Z Average cache write 0.057 s 2025-06-05T19:02:55.9268240Z Average compiler 6.238 s 2025-06-05T19:02:55.9268490Z Average cache read hit 0.000 s 2025-06-05T19:02:55.9268720Z Failed distributed compilations 0 2025-06-05T19:02:55.9268890Z 2025-06-05T19:02:55.9268950Z Non-cacheable reasons: 2025-06-05T19:02:55.9269200Z Can't handle UnknownFlag arguments with -Xclang 27 2025-06-05T19:02:55.9269470Z @ 11 2025-06-05T19:02:55.9269610Z 2025-06-05T19:02:55.9269830Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: /executorch/ 2025-06-05T19:02:55.9270200Z Version (client) 0.4.1 2025-06-05T19:02:55.9270410Z + [[ false == \t\r\u\e ]] 2025-06-05T19:02:55.9270630Z + install_executorch --use-pt-pinned-commit 2025-06-05T19:02:55.9270860Z + which pip 2025-06-05T19:02:55.9271120Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/pip 2025-06-05T19:02:55.9271480Z + ./install_executorch.sh --use-pt-pinned-commit 2025-06-05T19:02:55.9271830Z 2025-06-05 19:02:53,972 [ExecuTorch] INFO: All required submodules are present. 2025-06-05T19:02:55.9272320Z Looking in indexes: https://pypi.org/simple, 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cached multidict-6.4.4-cp311-cp311-macosx_11_0_arm64.whl (37 kB) 2025-06-05T19:03:36.7243750Z Using cached yarl-1.20.0-cp311-cp311-macosx_11_0_arm64.whl (94 kB) 2025-06-05T19:03:36.7244180Z Using cached aiohappyeyeballs-2.6.1-py3-none-any.whl (15 kB) 2025-06-05T19:03:36.7244590Z Using cached aiosignal-1.3.2-py2.py3-none-any.whl (7.6 kB) 2025-06-05T19:03:36.7245030Z Using cached frozenlist-1.6.2-cp311-cp311-macosx_11_0_arm64.whl (49 kB) 2025-06-05T19:03:36.7245500Z Using cached propcache-0.3.1-cp311-cp311-macosx_11_0_arm64.whl (45 kB) 2025-06-05T19:03:36.7245960Z Using cached pyarrow-20.0.0-cp311-cp311-macosx_12_0_arm64.whl (30.9 MB) 2025-06-05T19:03:36.7246410Z Using cached hf_transfer-0.1.9-cp38-abi3-macosx_11_0_arm64.whl (1.3 MB) 2025-06-05T19:03:36.7246810Z Using cached kagglehub-0.3.12-py3-none-any.whl (67 kB) 2025-06-05T19:03:36.7247200Z Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl (239 kB) 2025-06-05T19:03:36.7247640Z Using cached tiktoken-0.9.0-cp311-cp311-macosx_11_0_arm64.whl (1.0 MB) 2025-06-05T19:03:36.7248940Z Installing collected packages: sentencepiece, antlr4-python3-runtime, xxhash, pycryptodomex, pyarrow, psutil, propcache, omegaconf, multidict, hf-transfer, fsspec, frozenlist, dill, cmake, aiohappyeyeballs, yarl, tiktoken, multiprocess, kagglehub, blobfile, aiosignal, torchdata, aiohttp, timm, datasets, torchtune 2025-06-05T19:03:36.7250130Z Attempting uninstall: fsspec 2025-06-05T19:03:36.7250500Z Found existing installation: fsspec 2025.5.1 2025-06-05T19:03:36.7250840Z Uninstalling fsspec-2025.5.1: 2025-06-05T19:03:36.7251110Z Successfully uninstalled fsspec-2025.5.1 2025-06-05T19:03:36.7251390Z Attempting uninstall: timm 2025-06-05T19:03:36.7251640Z Found existing installation: timm 0.6.13 2025-06-05T19:03:36.7251910Z Uninstalling timm-0.6.13: 2025-06-05T19:03:36.7252160Z Successfully uninstalled timm-0.6.13 2025-06-05T19:03:36.7252350Z 2025-06-05T19:03:36.7253730Z Successfully installed aiohappyeyeballs-2.6.1 aiohttp-3.12.9 aiosignal-1.3.2 antlr4-python3-runtime-4.9.3 blobfile-3.0.0 cmake-3.31.6 datasets-3.6.0 dill-0.3.8 frozenlist-1.6.2 fsspec-2025.3.0 hf-transfer-0.1.9 kagglehub-0.3.12 multidict-6.4.4 multiprocess-0.70.16 omegaconf-2.3.0 propcache-0.3.1 psutil-7.0.0 pyarrow-20.0.0 pycryptodomex-3.23.0 sentencepiece-0.2.0 tiktoken-0.9.0 timm-1.0.7 torchdata-0.11.0 torchtune-0.6.1 xxhash-3.5.0 yarl-1.20.0 2025-06-05T19:03:36.7255260Z Processing ./third-party/ao 2025-06-05T19:03:36.7255510Z Preparing metadata (setup.py): started 2025-06-05T19:03:36.7255900Z Preparing metadata (setup.py): finished with status 'done' 2025-06-05T19:03:36.7256240Z Processing ./extension/llm/tokenizers 2025-06-05T19:03:36.7256520Z Preparing metadata (pyproject.toml): started 2025-06-05T19:03:36.7256890Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-06-05T19:03:36.7257720Z Requirement already satisfied: tiktoken in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from pytorch_tokenizers==0.1.0) (0.9.0) 2025-06-05T19:03:36.7258910Z Requirement already satisfied: tokenizers in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from pytorch_tokenizers==0.1.0) (0.21.1) 2025-06-05T19:03:36.7260130Z Requirement already satisfied: sentencepiece in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from pytorch_tokenizers==0.1.0) (0.2.0) 2025-06-05T19:03:36.7261400Z Requirement already satisfied: regex>=2022.1.18 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from tiktoken->pytorch_tokenizers==0.1.0) (2024.11.6) 2025-06-05T19:03:36.7262690Z Requirement already satisfied: requests>=2.26.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from 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huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (25.0) 2025-06-05T19:03:37.3264800Z Requirement already satisfied: pyyaml>=5.1 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (6.0.1) 2025-06-05T19:03:37.3265840Z Requirement already satisfied: tqdm>=4.42.1 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (4.67.1) 2025-06-05T19:03:37.3266970Z Requirement already satisfied: typing-extensions>=3.7.4.3 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (4.14.0) 2025-06-05T19:03:37.3268180Z Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (1.1.3) 2025-06-05T19:03:37.3268890Z Building wheels for collected packages: torchao, pytorch_tokenizers 2025-06-05T19:03:37.3270140Z DEPRECATION: Building 'torchao' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchao'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-06-05T19:03:37.3271320Z Building wheel for torchao (setup.py): started 2025-06-05T19:03:37.3271610Z Building wheel for torchao (setup.py): finished with status 'done' 2025-06-05T19:03:37.3272220Z Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-macosx_14_0_arm64.whl size=1066368 sha256=42d957a1653d7b7efd8c375349bfef525e5b1cceb3acd45550496b3eb40f5284 2025-06-05T19:03:37.3273160Z Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-lhuxkp1k/wheels/34/39/b9/374928ce0eb2fa1afe420dfa781a00176b7c7f90d4323d6c02 2025-06-05T19:03:37.3273820Z Building wheel for pytorch_tokenizers (pyproject.toml): started 2025-06-05T19:03:37.3274180Z Building wheel for pytorch_tokenizers (pyproject.toml): finished with status 'done' 2025-06-05T19:03:37.3274810Z Created wheel for pytorch_tokenizers: filename=pytorch_tokenizers-0.1.0-py3-none-any.whl size=10999 sha256=69a085af2db06424a38f4b658684e1d5853a7ac5284792cad39049d961c31b61 2025-06-05T19:03:37.3275710Z Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-lhuxkp1k/wheels/be/ee/5d/6e1a62e3ee016034f163e3017d3d36aec179493a5abeb2e7c4 2025-06-05T19:03:37.3276310Z Successfully built torchao pytorch_tokenizers 2025-06-05T19:03:37.3276570Z Installing collected packages: torchao, pytorch_tokenizers 2025-06-05T19:03:37.3276760Z 2025-06-05T19:03:37.3276910Z Successfully installed pytorch_tokenizers-0.1.0 torchao-0.12.0+gitbc68b11 2025-06-05T19:03:37.3277410Z Using pip 25.1 from /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/pip (python 3.11) 2025-06-05T19:03:37.3277940Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-06-05T19:03:37.3278360Z Processing /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:03:37.3278680Z Preparing metadata (pyproject.toml): started 2025-06-05T19:03:37.3278920Z Running command Preparing metadata (pyproject.toml) 2025-06-05T19:03:37.3279690Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-06-05T19:03:37.3280370Z !! 2025-06-05T19:03:37.3280440Z 2025-06-05T19:03:37.3280510Z ******************************************************************************** 2025-06-05T19:03:37.3281030Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-06-05T19:03:37.3281460Z 2025-06-05T19:03:37.3281600Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-06-05T19:03:37.3281880Z or your builds will no longer be supported. 2025-06-05T19:03:37.3282030Z 2025-06-05T19:03:37.3282240Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:37.3282600Z ******************************************************************************** 2025-06-05T19:03:37.3282800Z 2025-06-05T19:03:37.3282850Z !! 2025-06-05T19:03:37.3282970Z corresp(dist, value, root_dir) 2025-06-05T19:03:37.3283580Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T19:03:37.3284190Z !! 2025-06-05T19:03:37.3284250Z 2025-06-05T19:03:37.3284320Z ******************************************************************************** 2025-06-05T19:03:37.3284660Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T19:03:37.3284920Z 2025-06-05T19:03:37.3285020Z License :: OSI Approved :: BSD License 2025-06-05T19:03:37.3285160Z 2025-06-05T19:03:37.3285380Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:37.3285740Z ******************************************************************************** 2025-06-05T19:03:37.3285880Z 2025-06-05T19:03:37.3285920Z !! 2025-06-05T19:03:37.3286040Z dist._finalize_license_expression() 2025-06-05T19:03:37.3286590Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T19:03:37.3287120Z !! 2025-06-05T19:03:37.3287180Z 2025-06-05T19:03:37.3287250Z ******************************************************************************** 2025-06-05T19:03:37.3287560Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T19:03:37.3287810Z 2025-06-05T19:03:37.3287880Z License :: OSI Approved :: BSD License 2025-06-05T19:03:37.3288010Z 2025-06-05T19:03:37.3288210Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:37.3288560Z ******************************************************************************** 2025-06-05T19:03:37.3288710Z 2025-06-05T19:03:37.3288750Z !! 2025-06-05T19:03:37.3288870Z self._finalize_license_expression() 2025-06-05T19:03:37.3289050Z running dist_info 2025-06-05T19:03:37.3289410Z creating /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info 2025-06-05T19:03:37.3290050Z writing /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/PKG-INFO 2025-06-05T19:03:37.3290790Z writing dependency_links to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/dependency_links.txt 2025-06-05T19:03:37.3291580Z writing entry points to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/entry_points.txt 2025-06-05T19:03:37.3292500Z writing requirements to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/requires.txt 2025-06-05T19:03:37.3293260Z writing top-level names to /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/top_level.txt 2025-06-05T19:03:37.3294010Z writing manifest file '/private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/SOURCES.txt' 2025-06-05T19:03:37.3294760Z reading manifest file '/private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/SOURCES.txt' 2025-06-05T19:03:37.3295220Z adding license file 'LICENSE' 2025-06-05T19:03:37.3295670Z writing manifest file '/private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch.egg-info/SOURCES.txt' 2025-06-05T19:03:37.3296400Z creating '/private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-modern-metadata-qi7i9yt9/executorch-0.7.0a0+bd57234.dist-info' 2025-06-05T19:03:37.3296970Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-06-05T19:03:37.3297560Z Requirement already satisfied: expecttest in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from executorch==0.7.0a0+bd57234) (0.1.6) 2025-06-05T19:03:37.3298120Z Collecting flatbuffers (from executorch==0.7.0a0+bd57234) 2025-06-05T19:03:37.3298840Z Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata 2025-06-05T19:03:37.3299600Z Using cached flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes) 2025-06-05T19:03:38.3370290Z Requirement already satisfied: hypothesis in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from executorch==0.7.0a0+bd57234) (6.84.2) 2025-06-05T19:03:38.3371280Z Requirement already satisfied: mpmath==1.3.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from executorch==0.7.0a0+bd57234) (1.3.0) 2025-06-05T19:03:38.3372200Z Requirement already satisfied: numpy>=2.0.0 in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from executorch==0.7.0a0+bd57234) (2.2.6) 2025-06-05T19:03:38.3373080Z Requirement already 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2025-06-05T19:03:38.3385270Z Collecting coremltools==8.3 (from executorch==0.7.0a0+bd57234) 2025-06-05T19:03:38.3386000Z Obtaining dependency information for coremltools==8.3 from https://files.pythonhosted.org/packages/69/32/847810ade6b7105fcf810188f41dc4bb25e2278f505f8a08185bd8787cbb/coremltools-8.3.0-cp311-none-macosx_11_0_arm64.whl.metadata 2025-06-05T19:03:38.3386780Z Using cached coremltools-8.3.0-cp311-none-macosx_11_0_arm64.whl.metadata (2.6 kB) 2025-06-05T19:03:38.3387150Z Collecting protobuf>=3.1.0 (from coremltools==8.3->executorch==0.7.0a0+bd57234) 2025-06-05T19:03:38.3387910Z Obtaining dependency information for protobuf>=3.1.0 from https://files.pythonhosted.org/packages/6a/c9/b9689a2a250264a84e66c46d8862ba788ee7a641cdca39bccf64f59284b7/protobuf-6.31.1-cp39-abi3-macosx_10_9_universal2.whl.metadata 2025-06-05T19:03:38.3388680Z Using cached protobuf-6.31.1-cp39-abi3-macosx_10_9_universal2.whl.metadata (593 bytes) 2025-06-05T19:03:38.3389340Z Requirement already satisfied: 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2025-06-05T19:03:38.3413760Z Using cached tabulate-0.9.0-py3-none-any.whl (35 kB) 2025-06-05T19:03:38.3413990Z Building wheels for collected packages: executorch 2025-06-05T19:03:38.3414240Z Building wheel for executorch (pyproject.toml): started 2025-06-05T19:03:38.3414520Z Running command Building wheel for executorch (pyproject.toml) 2025-06-05T19:03:38.3415210Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-06-05T19:03:39.8203380Z !! 2025-06-05T19:03:39.8203510Z 2025-06-05T19:03:39.8203610Z ******************************************************************************** 2025-06-05T19:03:39.8204400Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-06-05T19:03:39.8204940Z 2025-06-05T19:03:39.8205080Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-06-05T19:03:39.8205380Z or your builds will no longer be supported. 2025-06-05T19:03:39.8205530Z 2025-06-05T19:03:39.8205760Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:39.8206120Z ******************************************************************************** 2025-06-05T19:03:39.8206260Z 2025-06-05T19:03:39.8206310Z !! 2025-06-05T19:03:39.8206420Z corresp(dist, value, root_dir) 2025-06-05T19:03:39.8207050Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T19:03:39.8207650Z !! 2025-06-05T19:03:39.8207720Z 2025-06-05T19:03:39.8207900Z ******************************************************************************** 2025-06-05T19:03:39.8208240Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T19:03:39.8208500Z 2025-06-05T19:03:39.8208590Z License :: OSI Approved :: BSD License 2025-06-05T19:03:39.8208730Z 2025-06-05T19:03:39.8208940Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:39.8209320Z ******************************************************************************** 2025-06-05T19:03:39.8209470Z 2025-06-05T19:03:39.8209500Z !! 2025-06-05T19:03:39.8209630Z dist._finalize_license_expression() 2025-06-05T19:03:39.8210200Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T19:03:39.8210720Z !! 2025-06-05T19:03:39.8210780Z 2025-06-05T19:03:39.8210850Z ******************************************************************************** 2025-06-05T19:03:39.8211170Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T19:03:39.8211420Z 2025-06-05T19:03:39.8211490Z License :: OSI Approved :: BSD License 2025-06-05T19:03:39.8211620Z 2025-06-05T19:03:39.8211820Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:03:39.8212150Z ******************************************************************************** 2025-06-05T19:03:39.8212290Z 2025-06-05T19:03:39.8212330Z !! 2025-06-05T19:03:39.8212450Z self._finalize_license_expression() 2025-06-05T19:03:39.8212620Z running bdist_wheel 2025-06-05T19:03:39.8212750Z running build 2025-06-05T19:03:39.8212880Z command options for 'CustomBuild': 2025-06-05T19:03:39.8213060Z build_base = pip-out 2025-06-05T19:03:39.8213200Z build_purelib = pip-out/lib 2025-06-05T19:03:39.8213420Z build_platlib = 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-- BUCK2 : 2025-06-05T19:03:39.8223920Z -- EXECUTORCH_BUILD_PRESET_FILE : /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/tools/cmake/preset/pybind.cmake 2025-06-05T19:03:39.8224350Z -- EXECUTORCH_ENABLE_LOGGING : ON 2025-06-05T19:03:39.8224560Z -- EXECUTORCH_BUILD_COREML : ON 2025-06-05T19:03:39.8224770Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T19:03:39.8224980Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T19:03:39.8225420Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T19:03:39.8225850Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T19:03:39.8226070Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T19:03:39.8226290Z -- EXECUTORCH_ENABLE_EVENT_TRACER : OFF 2025-06-05T19:03:39.8226490Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T19:03:39.8226690Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T19:03:39.8226890Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : ON 2025-06-05T19:03:39.8227090Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : ON 2025-06-05T19:03:39.8227290Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : ON 2025-06-05T19:03:39.8227490Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-06-05T19:03:39.8227700Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON 2025-06-05T19:03:39.8227900Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T19:03:39.8228100Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2025-06-05T19:03:39.8228300Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : ON 2025-06-05T19:03:39.8228610Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : ON 2025-06-05T19:03:39.8228830Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T19:03:39.8229030Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T19:03:39.8229230Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T19:03:39.8229430Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T19:03:39.8229630Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T19:03:39.8229830Z -- EXECUTORCH_BUILD_PYBIND : ON 2025-06-05T19:03:39.8230020Z -- EXECUTORCH_BUILD_QNN : OFF 2025-06-05T19:03:39.8230220Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-06-05T19:03:39.8230420Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2025-06-05T19:03:39.8230630Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-06-05T19:03:39.8230830Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T19:03:39.8231040Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T19:03:39.8231250Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T19:03:39.8231520Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T19:03:39.8231730Z -- EXECUTORCH_BUILD_XNNPACK : ON 2025-06-05T19:03:39.8231940Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T19:03:39.8232140Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T19:03:39.8232340Z -- EXECUTORCH_USE_DL : ON 2025-06-05T19:03:39.8232540Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T19:03:39.8232740Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T19:03:39.8232940Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T19:03:39.8233150Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T19:03:39.8233360Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T19:03:39.8233570Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T19:03:39.8233780Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T19:03:39.8233990Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T19:03:39.8234200Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T19:03:39.8234420Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T19:03:39.8234610Z -- -------------------------- 2025-06-05T19:03:39.8234990Z -- Using the multi-header code from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/json/include/ 2025-06-05T19:03:39.8235530Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-06-05T19:03:39.8235930Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:39.8236190Z CMake. 2025-06-05T19:03:39.8236260Z 2025-06-05T19:03:39.8236390Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:39.8236740Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:39.8237050Z to work with policies introduced by or earlier. 2025-06-05T19:03:39.8237210Z 2025-06-05T19:03:39.8237210Z 2025-06-05T19:03:39.8237260Z -- pybind11 v2.13.6 2025-06-05T19:03:39.8237710Z -- Found PythonInterp: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python (found suitable version "3.11.11", minimum required is "3.7") 2025-06-05T19:03:39.8238340Z -- Found PythonLibs: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/libpython3.11.dylib 2025-06-05T19:03:39.8238680Z -- Performing Test HAS_FLTO_THIN 2025-06-05T19:03:39.8238870Z -- Performing Test HAS_FLTO_THIN - Success 2025-06-05T19:03:39.8239200Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T19:03:39.8239590Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:39.8239840Z CMake. 2025-06-05T19:03:39.8239910Z 2025-06-05T19:03:39.8240120Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:39.8240500Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:42.8778330Z to work with policies introduced by or earlier. 2025-06-05T19:03:42.8778560Z 2025-06-05T19:03:42.8778560Z 2025-06-05T19:03:42.8778810Z -- dist install dir /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc 2025-06-05T19:03:42.8779360Z -- lib install dir /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc/lib 2025-06-05T19:03:42.8779740Z -- Setting Clang compiler options 2025-06-05T19:03:42.8780190Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T19:03:42.8780810Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:03:42.8781280Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:42.8781540Z CMake. 2025-06-05T19:03:42.8781890Z 2025-06-05T19:03:42.8782030Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:42.8782390Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:42.8782690Z to work with policies introduced by or earlier. 2025-06-05T19:03:42.8782850Z 2025-06-05T19:03:42.8782860Z 2025-06-05T19:03:42.8783100Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:03:42.8783540Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:42.8783790Z CMake. 2025-06-05T19:03:42.8783850Z 2025-06-05T19:03:42.8783990Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:42.8784330Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:42.8784620Z to work with policies introduced by or earlier. 2025-06-05T19:03:42.8784780Z 2025-06-05T19:03:42.8784790Z 2025-06-05T19:03:42.8785040Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:03:42.8785490Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:42.8785730Z CMake. 2025-06-05T19:03:42.8785800Z 2025-06-05T19:03:42.8785940Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:42.8786300Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:42.8786600Z to work with policies introduced by or earlier. 2025-06-05T19:03:42.8786750Z 2025-06-05T19:03:42.8786760Z 2025-06-05T19:03:42.8786830Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T19:03:42.8787070Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T19:03:42.8787280Z -- Found Threads: TRUE 2025-06-05T19:03:42.8787440Z -- Resolved buck2 as buck2. 2025-06-05T19:03:42.8787610Z -- Killing buck2 daemon 2025-06-05T19:03:42.8787750Z 'buck2 killall' 2025-06-05T19:03:42.8787900Z -- executorch: Generating source lists 2025-06-05T19:03:42.8788500Z -- executorch: Generating source file list /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/executorch_srcs.cmake 2025-06-05T19:03:42.8789440Z -- executorch: Using sources file /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/executorch_srcs.cmake 2025-06-05T19:03:42.8790310Z '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-06-05T19:03:42.8790810Z -- Generating operator lib: 2025-06-05T19:03:42.8790970Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:03:42.8791470Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T19:03:42.8791900Z -- ROOT_OPS: 2025-06-05T19:03:42.8792020Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:42.8793200Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml" 2025-06-05T19:03:42.8794450Z -- Generating kernel bindings: 2025-06-05T19:03:42.8794610Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:03:42.8794980Z -- FUNCTIONS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T19:03:42.8795350Z -- CUSTOM_OPS_YAML: 2025-06-05T19:03:42.8795500Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T19:03:42.8797140Z Generated files /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2025-06-05T19:03:42.8798710Z -- Generating operator lib: 2025-06-05T19:03:42.8798870Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:03:42.8799040Z -- KERNEL_LIBS: portable_kernels 2025-06-05T19:03:42.8799210Z -- DEPS: executorch_core 2025-06-05T19:03:42.8799370Z -- Generating operator lib: 2025-06-05T19:03:42.8799530Z -- LIB_NAME: optimized_ops_lib 2025-06-05T19:03:42.8799920Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T19:03:42.8800300Z -- ROOT_OPS: 2025-06-05T19:03:42.8800420Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:42.8801580Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/optimized.yaml" 2025-06-05T19:03:42.8802770Z -- Generating kernel bindings: 2025-06-05T19:03:42.8802940Z -- LIB_NAME: optimized_ops_lib 2025-06-05T19:03:42.8803310Z -- FUNCTIONS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T19:03:42.8803700Z -- CUSTOM_OPS_YAML: 2025-06-05T19:03:42.8803850Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T19:03:42.8805440Z Generated files /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h 2025-06-05T19:03:42.8807010Z -- Generating operator lib: 2025-06-05T19:03:42.8807170Z -- LIB_NAME: optimized_ops_lib 2025-06-05T19:03:42.8807330Z -- KERNEL_LIBS: optimized_kernels 2025-06-05T19:03:42.8807500Z -- DEPS: executorch_core 2025-06-05T19:03:42.8807660Z -- Merging kernel yaml files: 2025-06-05T19:03:42.8808370Z -- FUNCTIONS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/configurations/../kernels/optimized/optimized.yaml 2025-06-05T19:03:42.8809120Z -- FALLBACK_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/configurations/../kernels/portable/functions.yaml 2025-06-05T19:03:42.8809840Z -- OUTPUT_DIR: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations 2025-06-05T19:03:42.8810300Z -- Generating operator lib: 2025-06-05T19:03:42.8810480Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T19:03:42.8811000Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/merged.yaml 2025-06-05T19:03:42.8811490Z -- ROOT_OPS: 2025-06-05T19:03:42.8811600Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:42.8812890Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/merged.yaml" 2025-06-05T19:03:42.8814250Z -- Generating kernel bindings: 2025-06-05T19:03:42.8814430Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T19:03:42.8814960Z -- FUNCTIONS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/merged.yaml 2025-06-05T19:03:42.8815460Z -- CUSTOM_OPS_YAML: 2025-06-05T19:03:42.8815600Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T19:03:42.8817240Z Generated files /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h 2025-06-05T19:03:42.8818910Z -- Generating operator lib: 2025-06-05T19:03:42.8819100Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T19:03:42.8819350Z -- KERNEL_LIBS: optimized_kernels;optimized_portable_kernels 2025-06-05T19:03:42.8819590Z -- DEPS: executorch_core 2025-06-05T19:03:42.8819890Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T19:03:42.8820290Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:44.2198500Z CMake. 2025-06-05T19:03:44.2252410Z 2025-06-05T19:03:44.2259510Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:44.2270900Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:44.2273560Z to work with policies introduced by or earlier. 2025-06-05T19:03:44.2274690Z 2025-06-05T19:03:44.2274700Z 2025-06-05T19:03:44.2274900Z -- Looking for C++ include unistd.h 2025-06-05T19:03:44.2275920Z -- Looking for C++ include unistd.h - found 2025-06-05T19:03:44.2276500Z -- Looking for C++ include stdint.h 2025-06-05T19:03:44.2277050Z -- Looking for C++ include stdint.h - found 2025-06-05T19:03:44.2277600Z -- Looking for C++ include inttypes.h 2025-06-05T19:03:44.2278160Z -- Looking for C++ include inttypes.h - found 2025-06-05T19:03:44.2278710Z -- Looking for C++ include sys/types.h 2025-06-05T19:03:44.2279250Z -- Looking for C++ include sys/types.h - found 2025-06-05T19:03:44.2280300Z -- Looking for C++ include sys/stat.h 2025-06-05T19:03:44.2281080Z -- Looking for C++ include sys/stat.h - found 2025-06-05T19:03:44.2281640Z -- Looking for C++ include fnmatch.h 2025-06-05T19:03:44.2282170Z -- Looking for C++ include fnmatch.h - found 2025-06-05T19:03:44.2282720Z -- Looking for C++ include stddef.h 2025-06-05T19:03:44.2283250Z -- Looking for C++ include stddef.h - found 2025-06-05T19:03:44.2283770Z -- Check size of uint32_t 2025-06-05T19:03:44.2284220Z -- Check size of uint32_t - done 2025-06-05T19:03:44.2284680Z -- Looking for strtoll 2025-06-05T19:03:44.2285110Z -- Looking for strtoll - found 2025-06-05T19:03:44.2285630Z -- The ASM compiler identification is AppleClang 2025-06-05T19:03:44.2286590Z -- Found assembler: /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:03:44.2287500Z -- Building for XNNPACK_TARGET_PROCESSOR: arm64 2025-06-05T19:03:44.2288830Z -- Found Python: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python3.11 (found version "3.11.11") found components: Interpreter 2025-06-05T19:03:44.2290270Z -- Generating microkernels.cmake 2025-06-05T19:03:44.2290890Z No microkernel found in src/reference/unary-elementwise.cc 2025-06-05T19:03:44.2291590Z No microkernel found in src/reference/packing.cc 2025-06-05T19:03:44.2292310Z No microkernel found in src/reference/binary-elementwise.cc 2025-06-05T19:03:44.2294940Z '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-06-05T19:03:44.2295900Z CMake Warning at /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-06-05T19:03:44.2296460Z static library kineto_LIBRARY-NOTFOUND not found. 2025-06-05T19:03:44.2296690Z Call Stack (most recent call first): 2025-06-05T19:03:44.2297240Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-06-05T19:03:44.2297790Z tools/cmake/Utils.cmake:267 (find_package) 2025-06-05T19:03:44.2298010Z CMakeLists.txt:610 (find_package_torch) 2025-06-05T19:03:44.2298150Z 2025-06-05T19:03:44.2298150Z 2025-06-05T19:03:44.2298450Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torch/lib/libtorch.dylib 2025-06-05T19:03:44.2300890Z -- executorch: Using source file list /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/extension/llm/custom_ops/../../../executorch_srcs.cmake 2025-06-05T19:03:44.2303650Z -- Generating operator lib: 2025-06-05T19:03:44.2304150Z -- LIB_NAME: quantized_ops_lib 2025-06-05T19:03:44.2305300Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T19:03:44.2306430Z -- ROOT_OPS: 2025-06-05T19:03:44.2306820Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:44.2311240Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T19:03:44.2320530Z -- Generating kernel bindings: 2025-06-05T19:03:44.2328630Z -- LIB_NAME: quantized_ops_lib 2025-06-05T19:03:44.2328860Z -- FUNCTIONS_YAML: 2025-06-05T19:03:44.2329240Z -- CUSTOM_OPS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T19:03:44.2329650Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T19:03:44.2333100Z Generated files /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2025-06-05T19:03:44.2336650Z -- Generating operator lib: 2025-06-05T19:03:44.2336830Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T19:03:44.2337000Z -- OPS_SCHEMA_YAML: 2025-06-05T19:03:44.2338600Z -- ROOT_OPS: quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out 2025-06-05T19:03:44.2340220Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:44.2342670Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_aot_lib/selected_operators.yaml;--root_ops="quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out" 2025-06-05T19:03:44.2345110Z -- Generating kernel bindings: 2025-06-05T19:03:44.2345290Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T19:03:44.2345470Z -- FUNCTIONS_YAML: 2025-06-05T19:03:44.2345840Z -- CUSTOM_OPS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T19:03:44.2346240Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T19:03:44.2346430Z -- Generating custom ops aot lib: 2025-06-05T19:03:44.2346620Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T19:03:44.2347110Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/embeddingxb.cpp 2025-06-05T19:03:44.2347900Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_add.cpp 2025-06-05T19:03:44.2348680Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_choose_qparams.cpp 2025-06-05T19:03:44.2349590Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_dequantize.cpp 2025-06-05T19:03:44.2350450Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding.cpp 2025-06-05T19:03:44.2351260Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding2b.cpp 2025-06-05T19:03:44.2352050Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding4b.cpp 2025-06-05T19:03:44.2352830Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_linear.cpp 2025-06-05T19:03:44.2353620Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_mm.cpp 2025-06-05T19:03:44.2354460Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_quantize.cpp 2025-06-05T19:03:44.2355240Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../kernels/portable/cpu/util/reduce_util.cpp 2025-06-05T19:03:45.4910700Z -- KERNEL_SOURCE: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/../../runtime/core/exec_aten/util/tensor_util_aten.cpp 2025-06-05T19:03:45.4914930Z -- Generating operator lib: 2025-06-05T19:03:45.4917300Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T19:03:45.4917890Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T19:03:45.4918520Z -- ROOT_OPS: 2025-06-05T19:03:45.4918760Z -- INCLUDE_ALL_OPS: 2025-06-05T19:03:45.4920140Z Command - /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/quantized_ops_pybind_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T19:03:45.4921600Z -- Generating kernel bindings: 2025-06-05T19:03:45.4922130Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T19:03:45.4922420Z -- FUNCTIONS_YAML: 2025-06-05T19:03:45.4922880Z -- CUSTOM_OPS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T19:03:45.4926120Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T19:03:45.4926680Z -- Generating operator lib: 2025-06-05T19:03:45.4926960Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T19:03:45.4927350Z -- KERNEL_LIBS: quantized_pybind_kernels_lib 2025-06-05T19:03:45.4927660Z -- DEPS: portable_lib 2025-06-05T19:03:45.4927920Z -- Generating operator lib: 2025-06-05T19:03:45.4928180Z -- LIB_NAME: quantized_ops_lib 2025-06-05T19:03:45.4928460Z -- KERNEL_LIBS: quantized_kernels 2025-06-05T19:03:45.4928730Z -- DEPS: executorch_core 2025-06-05T19:03:45.4928990Z -- Configuring done (5.3s) 2025-06-05T19:03:45.4929400Z -- Generating done (0.5s) 2025-06-05T19:03:45.4929990Z -- Build files have been written to: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out 2025-06-05T19:03:45.4931350Z cmake --build /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out -j7 --config=Release --target portable_lib --target executorchcoreml --target custom_ops_aot_lib --target quantized_ops_aot_lib 2025-06-05T19:03:45.4932340Z [ 0%] Creating directories for 'flatbuffers_external_project' 2025-06-05T19:03:45.4933050Z [ 0%] Creating directories for 'flatcc_external_project' 2025-06-05T19:03:45.4933560Z [ 0%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/single.cpp.o 2025-06-05T19:03:45.4934170Z [ 0%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/double.cpp.o 2025-06-05T19:03:45.4934790Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T19:03:45.4935420Z [ 0%] Building CXX object backends/apple/coreml/CMakeFiles/coreml_util.dir/runtime/util/json_util.cpp.o 2025-06-05T19:03:45.4936000Z [ 0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T19:03:45.4936470Z [ 0%] No download step for 'flatbuffers_external_project' 2025-06-05T19:03:45.4936820Z [ 0%] No download step for 'flatcc_external_project' 2025-06-05T19:03:45.4937320Z [ 0%] No update step for 'flatbuffers_external_project' 2025-06-05T19:03:45.4937660Z [ 1%] No update step for 'flatcc_external_project' 2025-06-05T19:03:45.4938220Z [ 1%] No patch step for 'flatbuffers_external_project' 2025-06-05T19:03:45.4938550Z [ 1%] No patch step for 'flatcc_external_project' 2025-06-05T19:03:45.4938930Z [ 1%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T19:03:45.4939750Z [ 1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 2025-06-05T19:03:45.4940280Z CMake Warning: 2025-06-05T19:03:45.4940680Z Ignoring empty string ("") provided on the command line. 2025-06-05T19:03:45.4941110Z 2025-06-05T19:03:45.4941230Z 2025-06-05T19:03:45.4941900Z [ 1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-06-05T19:03:45.4942380Z [ 1%] Performing configure step for 'flatcc_external_project' 2025-06-05T19:03:45.4942750Z fatal: No names found, cannot describe anything. 2025-06-05T19:03:45.4943110Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T19:03:45.4943440Z git describe failed with exit code: 128 2025-06-05T19:03:45.4943680Z 2025-06-05T19:03:45.4943880Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T19:03:45.4944200Z Call Stack (most recent call first): 2025-06-05T19:03:45.4944500Z CMakeLists.txt:5 (include) 2025-06-05T19:03:45.4944740Z 2025-06-05T19:03:45.4944740Z 2025-06-05T19:03:45.4944860Z -- Proceeding with version: 24.3.25.0 2025-06-05T19:03:45.4945070Z CMake Warning: 2025-06-05T19:03:45.4945260Z Ignoring empty string ("") provided on the command line. 2025-06-05T19:03:45.4945450Z 2025-06-05T19:03:45.4945450Z 2025-06-05T19:03:45.4945600Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T19:03:45.4945960Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:03:45.4946200Z CMake. 2025-06-05T19:03:45.4946270Z 2025-06-05T19:03:45.4946430Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:03:45.4946780Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:03:45.4947100Z to work with policies introduced by or earlier. 2025-06-05T19:03:45.4947260Z 2025-06-05T19:03:45.4947260Z 2025-06-05T19:03:45.4947500Z [ 2%] Building CXX object backends/apple/coreml/CMakeFiles/coreml_util.dir/runtime/util/objc_json_serde.mm.o 2025-06-05T19:03:45.4948040Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o 2025-06-05T19:03:45.4948540Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o 2025-06-05T19:03:45.4948940Z -- The CXX compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:03:45.4949380Z [ 2%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/complex_single.cpp.o 2025-06-05T19:03:45.4949890Z -- Detecting CXX compiler ABI info 2025-06-05T19:03:45.4950200Z -- The C 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'MLComputeUnitsCPUAndNeuralEngine' is only available on macOS 13.0 or newer [-Wunguarded-availability-new] 2025-06-05T19:03:54.6867750Z return MLComputeUnitsCPUAndNeuralEngine; 2025-06-05T19:03:54.6868330Z ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:03:54.6870580Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/CoreML.framework/Headers/MLModelConfiguration.h:21:5: note: 'MLComputeUnitsCPUAndNeuralEngine' has been marked as being introduced in macOS 13.0 here, but the deployment target is macOS 12.0.0 2025-06-05T19:03:54.6873260Z MLComputeUnitsCPUAndNeuralEngine API_AVAILABLE(macos(13.0), ios(16.0), watchos(9.0), tvos(16.0)) = 3 2025-06-05T19:03:54.6874170Z ^ 2025-06-05T19:03:54.6876480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/runtime/delegate/backend_delegate.mm:29:16: note: enclose 'MLComputeUnitsCPUAndNeuralEngine' in an @available check to silence this warning 2025-06-05T19:03:54.6877340Z return 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2025-06-05T19:04:22.5818570Z [ 98%] Generating selected_operators.yaml for quantized_ops_aot_lib 2025-06-05T19:04:22.5820230Z quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out 2025-06-05T19:04:22.5821800Z [ 98%] Generating code for kernel registration 2025-06-05T19:04:22.5822170Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_add.cpp.o 2025-06-05T19:04:22.5822650Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding.cpp.o 2025-06-05T19:04:22.5823160Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_choose_qparams.cpp.o 2025-06-05T19:04:22.5823670Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/embeddingxb.cpp.o 2025-06-05T19:04:22.5824230Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterSchema.cpp.o 2025-06-05T19:04:22.5824860Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterCPUCustomOps.cpp.o 2025-06-05T19:04:22.5825450Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_dequantize.cpp.o 2025-06-05T19:04:22.5825970Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding2b.cpp.o 2025-06-05T19:04:22.5826480Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding4b.cpp.o 2025-06-05T19:04:22.5827330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:88:27: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5828000Z ET_CHECK_VALID_DIM(dim, in.dim()); 2025-06-05T19:04:22.5828180Z ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5828780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5829400Z UPPER_BOUND, \ 2025-06-05T19:04:22.5829600Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5830050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5830610Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5830870Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5831400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5831900Z ##__VA_ARGS__) 2025-06-05T19:04:22.5832030Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5832470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5833020Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5833220Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5834300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:217:3: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::apply_over_unpacked_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:218:7)>' requested here 2025-06-05T19:04:22.5835390Z apply_over_unpacked_dim( 2025-06-05T19:04:22.5835540Z ^ 2025-06-05T19:04:22.5836150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:88:27: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5836830Z ET_CHECK_VALID_DIM(dim, in.dim()); 2025-06-05T19:04:22.5837020Z ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5837550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5838080Z UPPER_BOUND) 2025-06-05T19:04:22.5838210Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5838660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5839220Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5839480Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5840010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5840510Z ##__VA_ARGS__) 2025-06-05T19:04:22.5840640Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5841080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5841590Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5841780Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5842200Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5843150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5843870Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5844080Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5844770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5845360Z UPPER_BOUND, \ 2025-06-05T19:04:22.5846350Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5848070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5848700Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5848970Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5849500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5850010Z ##__VA_ARGS__) 2025-06-05T19:04:22.5850150Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5850600Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5851230Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5851440Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5852450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5853630Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5853820Z ^ 2025-06-05T19:04:22.5854240Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5855210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5855960Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5856160Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5856720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5857260Z UPPER_BOUND) 2025-06-05T19:04:22.5857380Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5857840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5858400Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5858690Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5859220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5859730Z ##__VA_ARGS__) 2025-06-05T19:04:22.5859860Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5860300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5860810Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5861000Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5861410Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5862490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5863280Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5863470Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5864020Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5864590Z UPPER_BOUND, \ 2025-06-05T19:04:22.5864790Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5865240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5865790Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5866060Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5866640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5867630Z ##__VA_ARGS__) 2025-06-05T19:04:22.5868030Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5869270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5870660Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5871180Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5873930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5877540Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5878070Z ^ 2025-06-05T19:04:22.5879190Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5881850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5883850Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5884370Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5885890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5887410Z UPPER_BOUND) 2025-06-05T19:04:22.5887910Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5889330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5890960Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5891630Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5893110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5894830Z ##__VA_ARGS__) 2025-06-05T19:04:22.5895200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5896610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5897360Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5897690Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5898100Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5899080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5899810Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5900020Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5900560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5901150Z UPPER_BOUND, \ 2025-06-05T19:04:22.5901350Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5901870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5902430Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5902690Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5903220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5903720Z ##__VA_ARGS__) 2025-06-05T19:04:22.5903850Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5904290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5904810Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5905010Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5906040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5907050Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5907250Z ^ 2025-06-05T19:04:22.5907650Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5908640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5909360Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5909570Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5910130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5910680Z UPPER_BOUND) 2025-06-05T19:04:22.5910800Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5911250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5911800Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5912060Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5912640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5913180Z ##__VA_ARGS__) 2025-06-05T19:04:22.5913310Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5913740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5914240Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5914440Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5914850Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5915820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5916530Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5916730Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5917330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5917890Z UPPER_BOUND, \ 2025-06-05T19:04:22.5918080Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5918540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5919090Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5919350Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5919870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5920370Z ##__VA_ARGS__) 2025-06-05T19:04:22.5920500Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5920940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5921440Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5921640Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5922640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5923670Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5923860Z ^ 2025-06-05T19:04:22.5924280Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5925250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5925980Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5926180Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5926740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5927270Z UPPER_BOUND) 2025-06-05T19:04:22.5927390Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5927850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5928510Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5928840Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5929370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5929890Z ##__VA_ARGS__) 2025-06-05T19:04:22.5930020Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5930460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5930970Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5931160Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5931560Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5932510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5933270Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5933470Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5934040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5934610Z UPPER_BOUND, \ 2025-06-05T19:04:22.5934800Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5935250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5935810Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5936080Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5936610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5937100Z ##__VA_ARGS__) 2025-06-05T19:04:22.5937230Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5937670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5938170Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5938360Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5939340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5940370Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5940560Z ^ 2025-06-05T19:04:22.5940960Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5941900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5942680Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5942880Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5949930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5950640Z UPPER_BOUND) 2025-06-05T19:04:22.5950760Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5951240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5951810Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5952070Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5952610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5953120Z ##__VA_ARGS__) 2025-06-05T19:04:22.5953260Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5953710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5954260Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5954550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5954960Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5955930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5956670Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5956880Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5957430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5958010Z UPPER_BOUND, \ 2025-06-05T19:04:22.5958210Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5958670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5959220Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5959480Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5960010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5960520Z ##__VA_ARGS__) 2025-06-05T19:04:22.5960650Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5961100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5961630Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5961840Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5962840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5963880Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5964080Z ^ 2025-06-05T19:04:22.5964500Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5965520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5966310Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5966500Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5967070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5967600Z UPPER_BOUND) 2025-06-05T19:04:22.5967730Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5968180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5968730Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5968990Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5969520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5970080Z ##__VA_ARGS__) 2025-06-05T19:04:22.5970200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5970630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5971140Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5971340Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5971730Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5972680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5973400Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5973610Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5974170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5974730Z UPPER_BOUND, \ 2025-06-05T19:04:22.5974930Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5975380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5975940Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5976190Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5976730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5977230Z ##__VA_ARGS__) 2025-06-05T19:04:22.5977360Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5977790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5978300Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5978500Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5979480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.5980480Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.5980670Z ^ 2025-06-05T19:04:22.5981130Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5982190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5982930Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5983130Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5983690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5984220Z UPPER_BOUND) 2025-06-05T19:04:22.5984340Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5984800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5985400Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5985670Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5986190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5986680Z ##__VA_ARGS__) 2025-06-05T19:04:22.5986810Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5987240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5987740Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5987940Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5988360Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.5989340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.5990060Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.5990260Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.5990810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.5991380Z UPPER_BOUND, \ 2025-06-05T19:04:22.5991570Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5992030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.5992600Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.5992880Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.5993410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.5993930Z ##__VA_ARGS__) 2025-06-05T19:04:22.5994060Z ^~~~~~~~~~~ 2025-06-05T19:04:22.5994510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.5995090Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.5998860Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6099290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.6100690Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.6105270Z ^ 2025-06-05T19:04:22.6108380Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6109930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6112820Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6116550Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6122410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6131350Z UPPER_BOUND) 2025-06-05T19:04:22.6146550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6151480Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6156320Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6161230Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6168140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6174880Z ##__VA_ARGS__) 2025-06-05T19:04:22.6183160Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6192430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6204320Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6207110Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6211550Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6217570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6225620Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6238070Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6243320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6244070Z UPPER_BOUND, \ 2025-06-05T19:04:22.6244420Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6245010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6245870Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6246330Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6247000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6247930Z ##__VA_ARGS__) 2025-06-05T19:04:22.6248070Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6248530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6249380Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6249580Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6250610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.6251650Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.6251840Z ^ 2025-06-05T19:04:22.6252300Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6253260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6254040Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6254240Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6254790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6255320Z UPPER_BOUND) 2025-06-05T19:04:22.6255440Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6255890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6256450Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6256720Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6257250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6257760Z ##__VA_ARGS__) 2025-06-05T19:04:22.6257880Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6258320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6258830Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6259030Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6259440Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6260380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6261100Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6261310Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6261850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6262420Z UPPER_BOUND, \ 2025-06-05T19:04:22.6262610Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6263060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6263610Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6263870Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6264490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6265070Z ##__VA_ARGS__) 2025-06-05T19:04:22.6265200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6265650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6266150Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6266350Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6267330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:25: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:502:5)>' requested here 2025-06-05T19:04:22.6268390Z ET_FORALL_INT_TYPES(CALCULATE_FLOAT_TYPE); 2025-06-05T19:04:22.6268580Z ^ 2025-06-05T19:04:22.6268990Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6274910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6277380Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6277930Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6279650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6281180Z UPPER_BOUND) 2025-06-05T19:04:22.6281550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6282840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6284390Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6285340Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6286820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6287640Z ##__VA_ARGS__) 2025-06-05T19:04:22.6287770Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6288210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6288710Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6288910Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6289310Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6290290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6291030Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6291230Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6291780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6292360Z UPPER_BOUND, \ 2025-06-05T19:04:22.6292550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6293130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6293740Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6294000Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6294530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6295040Z ##__VA_ARGS__) 2025-06-05T19:04:22.6295170Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6295610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6296130Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6296330Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6297320Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:503:5: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:503:5)>' requested here 2025-06-05T19:04:22.6298400Z CALCULATE_INT_TYPE(uint16_t, Bits16); 2025-06-05T19:04:22.6298570Z ^ 2025-06-05T19:04:22.6299040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:294:44: note: expanded from macro 'CALCULATE_INT_TYPE' 2025-06-05T19:04:22.6299600Z ET_FORALL_FLOAT_TYPES_WITH(IN_CTYPE, DEQUANTIZE_IMPL); \ 2025-06-05T19:04:22.6299840Z ^ 2025-06-05T19:04:22.6300270Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6301230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6301940Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6302140Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6302680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6303210Z UPPER_BOUND) 2025-06-05T19:04:22.6303340Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6303790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6304360Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6304620Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6305160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6305670Z ##__VA_ARGS__) 2025-06-05T19:04:22.6305800Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6306240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6306740Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6306940Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6307340Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6308520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6309310Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6309510Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6310060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6310630Z UPPER_BOUND, \ 2025-06-05T19:04:22.6310830Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6311280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6311840Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6312110Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6312680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6313240Z ##__VA_ARGS__) 2025-06-05T19:04:22.6313370Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6313810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6314320Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6314520Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6315510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:503:5: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:503:5)>' requested here 2025-06-05T19:04:22.6316510Z CALCULATE_INT_TYPE(uint16_t, Bits16); 2025-06-05T19:04:22.6316680Z ^ 2025-06-05T19:04:22.6317140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:294:44: note: expanded from macro 'CALCULATE_INT_TYPE' 2025-06-05T19:04:22.6317720Z ET_FORALL_FLOAT_TYPES_WITH(IN_CTYPE, DEQUANTIZE_IMPL); \ 2025-06-05T19:04:22.6317950Z ^ 2025-06-05T19:04:22.6318380Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6319330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6320050Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6320250Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6320800Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6321330Z UPPER_BOUND) 2025-06-05T19:04:22.6321450Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6321900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6322460Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6322720Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6323250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6323750Z ##__VA_ARGS__) 2025-06-05T19:04:22.6323870Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6324370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6324930Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6325130Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6325520Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6326490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6327210Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6327410Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6327960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6328560Z UPPER_BOUND, \ 2025-06-05T19:04:22.6328760Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6329210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6329760Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6330010Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6330530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6331030Z ##__VA_ARGS__) 2025-06-05T19:04:22.6331150Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6331580Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6332090Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6332280Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6333260Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:504:5: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:504:5)>' requested here 2025-06-05T19:04:22.6334280Z CALCULATE_INT_TYPE(uint16_t, UInt16); 2025-06-05T19:04:22.6334450Z ^ 2025-06-05T19:04:22.6334920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:294:44: note: expanded from macro 'CALCULATE_INT_TYPE' 2025-06-05T19:04:22.6344010Z ET_FORALL_FLOAT_TYPES_WITH(IN_CTYPE, DEQUANTIZE_IMPL); \ 2025-06-05T19:04:22.6344260Z ^ 2025-06-05T19:04:22.6344710Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6345670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6346390Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6346580Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6347120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6347650Z UPPER_BOUND) 2025-06-05T19:04:22.6347770Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6348370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6349000Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6349260Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6349780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6350290Z ##__VA_ARGS__) 2025-06-05T19:04:22.6350420Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6350850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6351340Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6351550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6351960Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6352990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6353700Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6353900Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6354450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6355020Z UPPER_BOUND, \ 2025-06-05T19:04:22.6355210Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6355660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6356230Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6356490Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6357030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6357540Z ##__VA_ARGS__) 2025-06-05T19:04:22.6357670Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6358110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6358620Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6358820Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6359810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:504:5: note: in instantiation of function template specialization 'torch::executor::apply_over_dim<(lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:504:5)>' requested here 2025-06-05T19:04:22.6360820Z CALCULATE_INT_TYPE(uint16_t, UInt16); 2025-06-05T19:04:22.6360990Z ^ 2025-06-05T19:04:22.6361450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:294:44: note: expanded from macro 'CALCULATE_INT_TYPE' 2025-06-05T19:04:22.6362010Z ET_FORALL_FLOAT_TYPES_WITH(IN_CTYPE, DEQUANTIZE_IMPL); \ 2025-06-05T19:04:22.6362230Z ^ 2025-06-05T19:04:22.6362660Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_dequantize.cpp:9: 2025-06-05T19:04:22.6363670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/kernels/portable/cpu/util/reduce_util.h:230:37: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6364450Z ET_CHECK_VALID_DIM(dim.value(), in.dim()); 2025-06-05T19:04:22.6364650Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:22.6365190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:22.6365710Z UPPER_BOUND) 2025-06-05T19:04:22.6365840Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6366290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6366850Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6367100Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6367640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6368180Z ##__VA_ARGS__) 2025-06-05T19:04:22.6368310Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6368740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6369240Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6369440Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6369580Z 30 warnings generated. 2025-06-05T19:04:22.6370220Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:67:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6370900Z scale_out.size(i)); 2025-06-05T19:04:22.6371060Z ^~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6371540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6372110Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6372380Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6372920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6373420Z ##__VA_ARGS__) 2025-06-05T19:04:22.6373550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6373990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6374490Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6374690Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6375380Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:72:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6376080Z zero_point_out.size(i)); 2025-06-05T19:04:22.6376250Z ^~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6376750Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6377310Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6377560Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6378180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6378750Z ##__VA_ARGS__) 2025-06-05T19:04:22.6378890Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6379330Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6379830Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6380040Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6380690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:77:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6381410Z input.dim() - 1, 2025-06-05T19:04:22.6381560Z ^~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6382040Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6382650Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6382920Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6383450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6383960Z ##__VA_ARGS__) 2025-06-05T19:04:22.6384090Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6384530Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6385030Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6385220Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6385860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:78:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6386560Z scale_out.size(input.dim() - 1)); 2025-06-05T19:04:22.6386740Z ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6387240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6387790Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6388040Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6388570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6389080Z ##__VA_ARGS__) 2025-06-05T19:04:22.6389200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6389640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6390150Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6390350Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6390990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:82:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6391670Z input.dim() - 1, 2025-06-05T19:04:22.6391820Z ^~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6392290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6392870Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6393220Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6393830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6394330Z ##__VA_ARGS__) 2025-06-05T19:04:22.6394460Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6394900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6395400Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6395600Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6396250Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_choose_qparams.cpp:83:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6396950Z zero_point_out.size(input.dim() - 1)); 2025-06-05T19:04:22.6397150Z ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6397680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6398240Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6398490Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6399010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6399500Z ##__VA_ARGS__) 2025-06-05T19:04:22.6399630Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6400060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6400570Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6400770Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6400910Z 6 warnings generated. 2025-06-05T19:04:22.6401230Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_linear.cpp.o 2025-06-05T19:04:22.6401730Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_mm.cpp.o 2025-06-05T19:04:22.6402550Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:78:66: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6403290Z weight.dim() == 2, "weight must be 2D but got() %zd dims", weight.dim()); 2025-06-05T19:04:22.6403560Z ~~~ ^~~~~~~~~~~~ 2025-06-05T19:04:22.6403760Z %lld 2025-06-05T19:04:22.6404280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6405100Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6405390Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6405940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6406470Z ##__VA_ARGS__) 2025-06-05T19:04:22.6406630Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6407070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6407600Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6407800Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6408640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:83:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6409410Z weight_scales.dim()); 2025-06-05T19:04:22.6409580Z ^~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6410060Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6410640Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6410900Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6411440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6411950Z ##__VA_ARGS__) 2025-06-05T19:04:22.6412090Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6412560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6413190Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6413390Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6414030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:89:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6414700Z weight_scales.size(0), 2025-06-05T19:04:22.6414860Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6415340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6415930Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6416200Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6416740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6417240Z ##__VA_ARGS__) 2025-06-05T19:04:22.6417370Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6417810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6418310Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6418510Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6419170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:90:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6419840Z weight.size(0)); 2025-06-05T19:04:22.6419990Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6420450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6421010Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6421270Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6421790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6422290Z ##__VA_ARGS__) 2025-06-05T19:04:22.6426050Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6427510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6429660Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6429950Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6430640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:99:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6431360Z weight.size(1), 2025-06-05T19:04:22.6431510Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6432010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6432590Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6432860Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6433430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6434010Z ##__VA_ARGS__) 2025-06-05T19:04:22.6434140Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6434590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6435100Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6435290Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6435940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:100:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6436590Z num_groups); 2025-06-05T19:04:22.6436720Z ^~~~~~~~~~ 2025-06-05T19:04:22.6437180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6437750Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6438020Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6438560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6439060Z ##__VA_ARGS__) 2025-06-05T19:04:22.6439200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6439650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6440170Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6440370Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6441030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:141:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6441760Z opt_weight_zero_points.value().size(i), 2025-06-05T19:04:22.6441980Z ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6442510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6443070Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6443330Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6443860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6444370Z ##__VA_ARGS__) 2025-06-05T19:04:22.6444500Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6445050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6445640Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6445850Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6446500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/embeddingxb.cpp:142:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6447180Z weight_scales.size(i)); 2025-06-05T19:04:22.6447360Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6447830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6448400Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6448660Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6449280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6449780Z ##__VA_ARGS__) 2025-06-05T19:04:22.6449920Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6450360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6450870Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6451070Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6451220Z 8 warnings generated. 2025-06-05T19:04:22.6451530Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_quantize.cpp.o 2025-06-05T19:04:22.6452080Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/portable/cpu/util/reduce_util.cpp.o 2025-06-05T19:04:22.6452970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:37:66: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6453720Z weight.dim() == 2, "weight must be 2D but got() %zd dims", weight.dim()); 2025-06-05T19:04:22.6453990Z ~~~ ^~~~~~~~~~~~ 2025-06-05T19:04:22.6454190Z %lld 2025-06-05T19:04:22.6454700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6455280Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6455540Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6456070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6456570Z ##__VA_ARGS__) 2025-06-05T19:04:22.6456710Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6457150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6457660Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6457860Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6458500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:42:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6459160Z weight_scales.dim()); 2025-06-05T19:04:22.6459320Z ^~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6459890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6460540Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6460810Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6461350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6461860Z ##__VA_ARGS__) 2025-06-05T19:04:22.6461990Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6462490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6463000Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6463200Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6463830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:48:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6464550Z weight_scales.size(0), 2025-06-05T19:04:22.6464710Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6465180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6465740Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6466010Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6466540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6467040Z ##__VA_ARGS__) 2025-06-05T19:04:22.6467170Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6467620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6468130Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6468320Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6468950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:49:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6469620Z weight.size(0)); 2025-06-05T19:04:22.6469770Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6470240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6470800Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6471070Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6471590Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6472090Z ##__VA_ARGS__) 2025-06-05T19:04:22.6472210Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6472650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6473170Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6473380Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6474030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:57:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6474760Z weight.size(1), 2025-06-05T19:04:22.6474980Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6475450Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6476010Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6476260Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6476790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6477300Z ##__VA_ARGS__) 2025-06-05T19:04:22.6477430Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6477860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6478370Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6478630Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6479270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:58:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6485470Z num_groups); 2025-06-05T19:04:22.6485680Z ^~~~~~~~~~ 2025-06-05T19:04:22.6486130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6486690Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6486940Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6487470Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6487980Z ##__VA_ARGS__) 2025-06-05T19:04:22.6488100Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6488540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6489040Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6489240Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6489870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:100:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6490550Z opt_weight_zero_points.value().size(i), 2025-06-05T19:04:22.6490750Z ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6491270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6491840Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6492100Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6492620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6493120Z ##__VA_ARGS__) 2025-06-05T19:04:22.6493250Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6493670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6494170Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6494360Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6495130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:101:11: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6495860Z weight_scales.size(i)); 2025-06-05T19:04:22.6496030Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6496500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6497060Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6497310Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6497840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6498330Z ##__VA_ARGS__) 2025-06-05T19:04:22.6498450Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6498890Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6499450Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6499640Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6500270Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6500920Z weight.size(0)); 2025-06-05T19:04:22.6501060Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6501520Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6502070Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6502330Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6502860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6503350Z ##__VA_ARGS__) 2025-06-05T19:04:22.6503480Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6503910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6504400Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6504590Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6505420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:260:7: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:22.6506300Z embedding_byte_per_channel( 2025-06-05T19:04:22.6506520Z ^ 2025-06-05T19:04:22.6507130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6507790Z weight_scales.size(0)); 2025-06-05T19:04:22.6507950Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6508420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6509010Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6509270Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6509910Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6510500Z ##__VA_ARGS__) 2025-06-05T19:04:22.6510630Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6511090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6511590Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6511780Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6512420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6513080Z weight.size(0)); 2025-06-05T19:04:22.6513230Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6513700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6514300Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6514560Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6515090Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6515590Z ##__VA_ARGS__) 2025-06-05T19:04:22.6515720Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6516180Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6516270Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6516320Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6517080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:260:7: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:22.6517200Z embedding_byte_per_channel( 2025-06-05T19:04:22.6517240Z ^ 2025-06-05T19:04:22.6517810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6517870Z weight_scales.size(0)); 2025-06-05T19:04:22.6517920Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6518310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6518420Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6519020Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6520740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6520910Z ##__VA_ARGS__) 2025-06-05T19:04:22.6521040Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6522050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6522270Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6522550Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6524150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6524730Z weight.size(0)); 2025-06-05T19:04:22.6525060Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6526120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6526440Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6526610Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6529540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6529690Z ##__VA_ARGS__) 2025-06-05T19:04:22.6529840Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6530820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6531050Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6531360Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6533630Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:260:7: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:22.6533970Z embedding_byte_per_channel( 2025-06-05T19:04:22.6534110Z ^ 2025-06-05T19:04:22.6535640Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6535800Z weight_scales.size(0)); 2025-06-05T19:04:22.6535940Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6537120Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6537320Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6537400Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6537830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6537880Z ##__VA_ARGS__) 2025-06-05T19:04:22.6537930Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6538290Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6538380Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6538430Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6538980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6539040Z weight.size(0)); 2025-06-05T19:04:22.6539090Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:22.6539460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6539590Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6539650Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6540050Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6540090Z ##__VA_ARGS__) 2025-06-05T19:04:22.6540140Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6540760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:22.6540850Z ##__VA_ARGS__); \ 2025-06-05T19:04:22.6540900Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6541650Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:260:7: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:22.6541770Z embedding_byte_per_channel( 2025-06-05T19:04:22.6541810Z ^ 2025-06-05T19:04:22.6542370Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:22.6542560Z weight_scales.size(0)); 2025-06-05T19:04:22.6542610Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:22.6542990Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:22.6543110Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:22.6543180Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:22.6543570Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:22.6543610Z ##__VA_ARGS__) 2025-06-05T19:04:22.6543650Z ^~~~~~~~~~~ 2025-06-05T19:04:22.6544010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2262900Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2263150Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2263850Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2264540Z weight.size(0)); 2025-06-05T19:04:23.2264680Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:23.2265160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2265730Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2266000Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2266540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2267050Z ##__VA_ARGS__) 2025-06-05T19:04:23.2267180Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2267620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2268120Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2268310Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2269150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:322:9: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:23.2270040Z embedding_byte_per_channel( 2025-06-05T19:04:23.2270250Z ^ 2025-06-05T19:04:23.2271070Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2271750Z weight_scales.size(0)); 2025-06-05T19:04:23.2271920Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.2272390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2272940Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2273190Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2273720Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2274230Z ##__VA_ARGS__) 2025-06-05T19:04:23.2274360Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2274900Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2275400Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2275600Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2276240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2276900Z weight.size(0)); 2025-06-05T19:04:23.2277040Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:23.2277500Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2278070Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2278330Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2278860Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2279360Z ##__VA_ARGS__) 2025-06-05T19:04:23.2279490Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2279930Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2280430Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2280630Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2281490Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:322:9: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:23.2282350Z embedding_byte_per_channel( 2025-06-05T19:04:23.2282560Z ^ 2025-06-05T19:04:23.2283150Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2283790Z weight_scales.size(0)); 2025-06-05T19:04:23.2283950Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.2284410Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2284950Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2285190Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2285950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2286430Z ##__VA_ARGS__) 2025-06-05T19:04:23.2286550Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2286960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2287430Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2287620Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2288210Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2288830Z weight.size(0)); 2025-06-05T19:04:23.2288960Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:23.2289400Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2289970Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2290210Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2290710Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2291170Z ##__VA_ARGS__) 2025-06-05T19:04:23.2291290Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2291700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2292170Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2292350Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2293130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:322:9: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:23.2293970Z embedding_byte_per_channel( 2025-06-05T19:04:23.2294170Z ^ 2025-06-05T19:04:23.2294740Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2295370Z weight_scales.size(0)); 2025-06-05T19:04:23.2295520Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.2295970Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2296500Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2296740Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.2297240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.2297710Z ##__VA_ARGS__) 2025-06-05T19:04:23.2297830Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2298240Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.2298720Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.2298910Z ^~~~~~~~~~~ 2025-06-05T19:04:23.2299560Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:163:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.2300230Z weight.size(0)); 2025-06-05T19:04:23.2300370Z ^~~~~~~~~~~~~~ 2025-06-05T19:04:23.2300820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.2301350Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.2301600Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3294670Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3295260Z ##__VA_ARGS__) 2025-06-05T19:04:23.3295390Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3295870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3296490Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3296700Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3297540Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:322:9: note: in instantiation of function template specialization 'torch::executor::native::(anonymous namespace)::embedding_byte_per_channel' requested here 2025-06-05T19:04:23.3298460Z embedding_byte_per_channel( 2025-06-05T19:04:23.3298680Z ^ 2025-06-05T19:04:23.3299300Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_embedding.cpp:170:9: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3299970Z weight_scales.size(0)); 2025-06-05T19:04:23.3300130Z ^~~~~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.3300610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3301170Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3301430Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3301960Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3302460Z ##__VA_ARGS__) 2025-06-05T19:04:23.3302590Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3303030Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3303530Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3303740Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3303880Z 24 warnings generated. 2025-06-05T19:04:23.3304270Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/__/runtime/core/exec_aten/util/tensor_util_aten.cpp.o 2025-06-05T19:04:23.3305170Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_quantize.cpp:269:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3305800Z scale.numel(), 2025-06-05T19:04:23.3305940Z ^~~~~~~~~~~~~ 2025-06-05T19:04:23.3306390Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3306950Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3307320Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3307940Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3308440Z ##__VA_ARGS__) 2025-06-05T19:04:23.3308570Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3309000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3309480Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3309670Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3310280Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_quantize.cpp:270:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3310900Z input.size(axis)); 2025-06-05T19:04:23.3311050Z ^~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.3311510Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3312120Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3312380Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3312880Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3313370Z ##__VA_ARGS__) 2025-06-05T19:04:23.3313490Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3313920Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3314420Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3314610Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3315230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_quantize.cpp:280:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3315860Z zero_point.numel(), 2025-06-05T19:04:23.3316010Z ^~~~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.3316460Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3317010Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3317260Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3317780Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3318280Z ##__VA_ARGS__) 2025-06-05T19:04:23.3318410Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3318840Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3319330Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3319530Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3320130Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/quantized/cpu/op_quantize.cpp:281:7: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3320760Z input.size(axis)); 2025-06-05T19:04:23.3320890Z ^~~~~~~~~~~~~~~~ 2025-06-05T19:04:23.3321340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3321920Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3322200Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3322730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3323220Z ##__VA_ARGS__) 2025-06-05T19:04:23.3323350Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3323760Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3324240Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3324430Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3324570Z 4 warnings generated. 2025-06-05T19:04:23.3325190Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/cpu/util/reduce_util.cpp:127:35: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3325900Z ET_CHECK_VALID_DIM(dim_val, in.dim()); 2025-06-05T19:04:23.3326080Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:23.3326610Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:23.3327150Z UPPER_BOUND, \ 2025-06-05T19:04:23.3327350Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3327790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3333520Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3333780Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3334310Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3334810Z ##__VA_ARGS__) 2025-06-05T19:04:23.3334930Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3335360Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3335850Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3336040Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3336690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/cpu/util/reduce_util.cpp:127:35: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3337380Z ET_CHECK_VALID_DIM(dim_val, in.dim()); 2025-06-05T19:04:23.3337570Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:23.3338100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:23.3425150Z UPPER_BOUND) 2025-06-05T19:04:23.3425480Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3425980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3426550Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3426810Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3427340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3427840Z ##__VA_ARGS__) 2025-06-05T19:04:23.3427970Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3428620Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3429140Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3429340Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3430000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/cpu/util/reduce_util.cpp:173:33: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3430690Z ET_CHECK_VALID_DIM(dim_val, in.dim()); 2025-06-05T19:04:23.3430880Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:23.3431420Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:53:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:23.3431980Z UPPER_BOUND, \ 2025-06-05T19:04:23.3432170Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3432660Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3433200Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3433450Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3433980Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3434460Z ##__VA_ARGS__) 2025-06-05T19:04:23.3434580Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3435000Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3435500Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3435700Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3436340Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/cpu/util/reduce_util.cpp:173:33: warning: format specifies type 'ssize_t' (aka 'long') but the argument has type 'int64_t' (aka 'long long') [-Wformat] 2025-06-05T19:04:23.3437010Z ET_CHECK_VALID_DIM(dim_val, in.dim()); 2025-06-05T19:04:23.3437190Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ 2025-06-05T19:04:23.3437700Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/core/exec_aten/util/tensor_util.h:54:7: note: expanded from macro 'ET_CHECK_VALID_DIM' 2025-06-05T19:04:23.3438210Z UPPER_BOUND) 2025-06-05T19:04:23.3438340Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3438770Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:39:59: note: expanded from macro 'ET_CHECK_MSG' 2025-06-05T19:04:23.3439310Z ET_ASSERT_MESSAGE_EMIT(" (%s): " _format, #_cond, ##__VA_ARGS__); \ 2025-06-05T19:04:23.3439560Z ~~~~~~~ ^~~~~~~~~~~ 2025-06-05T19:04:23.3440080Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/assert.h:26:9: note: expanded from macro 'ET_ASSERT_MESSAGE_EMIT' 2025-06-05T19:04:23.3440560Z ##__VA_ARGS__) 2025-06-05T19:04:23.3440680Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3441100Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/../executorch/runtime/platform/log.h:181:13: note: expanded from macro 'ET_LOG' 2025-06-05T19:04:23.3441570Z ##__VA_ARGS__); \ 2025-06-05T19:04:23.3441760Z ^~~~~~~~~~~ 2025-06-05T19:04:23.3441890Z 4 warnings generated. 2025-06-05T19:04:23.3442090Z [100%] Linking CXX shared library libquantized_ops_aot_lib.dylib 2025-06-05T19:04:23.3442380Z [100%] Built target quantized_ops_aot_lib 2025-06-05T19:04:23.3442600Z running build_py 2025-06-05T19:04:23.3442810Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util 2025-06-05T19:04:23.3443230Z copying src/executorch/util/python_profiler.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util 2025-06-05T19:04:23.3443730Z copying src/executorch/util/collect_env.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util 2025-06-05T19:04:23.3444260Z copying src/executorch/util/activation_memory_profiler.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util 2025-06-05T19:04:23.3444700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime 2025-06-05T19:04:23.3445120Z copying src/executorch/runtime/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime 2025-06-05T19:04:23.3445550Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen 2025-06-05T19:04:23.3445960Z copying src/executorch/codegen/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen 2025-06-05T19:04:23.3446470Z copying src/executorch/codegen/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen 2025-06-05T19:04:23.3446960Z copying src/executorch/codegen/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen 2025-06-05T19:04:23.3447450Z copying src/executorch/codegen/parse.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen 2025-06-05T19:04:23.3447860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools 2025-06-05T19:04:23.3448280Z copying src/executorch/devtools/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools 2025-06-05T19:04:23.3448690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3449100Z copying src/executorch/exir/graph_module.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3449590Z copying src/executorch/exir/print_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3450090Z copying src/executorch/exir/dynamic_shape.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3450570Z copying src/executorch/exir/version.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3451030Z copying src/executorch/exir/error.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3451490Z copying src/executorch/exir/memory.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3451950Z copying src/executorch/exir/graph.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3452420Z copying src/executorch/exir/memory_planning.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3452920Z copying src/executorch/exir/control_flow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3453390Z copying src/executorch/exir/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3453850Z copying src/executorch/exir/_warnings.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3454320Z copying src/executorch/exir/types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3454770Z copying src/executorch/exir/pass_base.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3455250Z copying src/executorch/exir/pass_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3455720Z copying src/executorch/exir/delegate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3456190Z copying src/executorch/exir/tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3456640Z copying src/executorch/exir/common.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3457160Z copying src/executorch/exir/dim_order_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3457700Z copying src/executorch/exir/scalar_type.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3458160Z copying src/executorch/exir/wrap.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3458620Z copying src/executorch/exir/sym_util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3459120Z copying src/executorch/exir/lowered_backend_module.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3459620Z copying src/executorch/exir/tracer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3460070Z copying src/executorch/exir/schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:23.3460490Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized 2025-06-05T19:04:23.3460990Z copying src/executorch/kernels/quantized/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized 2025-06-05T19:04:23.3461530Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test 2025-06-05T19:04:23.3462110Z copying src/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test 2025-06-05T19:04:23.3462840Z copying src/executorch/kernels/quantized/test/test_out_variants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test 2025-06-05T19:04:23.3463380Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree 2025-06-05T19:04:23.3463860Z copying src/executorch/extension/pytree/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree 2025-06-05T19:04:23.3621320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training 2025-06-05T19:04:23.3621900Z copying src/executorch/extension/training/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training 2025-06-05T19:04:23.3622430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util 2025-06-05T19:04:23.3622970Z copying src/executorch/extension/gguf_util/load_gguf.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util 2025-06-05T19:04:23.3623640Z copying src/executorch/extension/gguf_util/convert_main.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util 2025-06-05T19:04:23.3624290Z copying src/executorch/extension/gguf_util/converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util 2025-06-05T19:04:23.3624830Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings 2025-06-05T19:04:23.3625390Z copying src/executorch/extension/pybindings/portable_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings 2025-06-05T19:04:23.3625950Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor 2025-06-05T19:04:23.3626490Z copying src/executorch/extension/flat_tensor/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor 2025-06-05T19:04:23.3627020Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/export_util 2025-06-05T19:04:23.3627560Z copying src/executorch/extension/export_util/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/export_util 2025-06-05T19:04:23.3628210Z copying src/executorch/extension/export_util/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/export_util 2025-06-05T19:04:23.3628740Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree/test 2025-06-05T19:04:23.3629280Z copying src/executorch/extension/pytree/test/test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree/test 2025-06-05T19:04:23.3629960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers 2025-06-05T19:04:23.3630530Z copying src/executorch/extension/llm/tokenizers/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers 2025-06-05T19:04:23.3631080Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3631660Z copying src/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3632430Z copying src/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3633190Z copying src/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3633930Z copying src/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3634720Z copying src/executorch/extension/llm/custom_ops/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3635440Z copying src/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3636210Z copying src/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3636940Z copying src/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3637680Z copying src/executorch/extension/llm/custom_ops/test_quantized_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:23.3638250Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3638770Z copying src/executorch/extension/llm/export/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3639430Z copying src/executorch/extension/llm/export/builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3640120Z copying src/executorch/extension/llm/export/export_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3640850Z copying src/executorch/extension/llm/export/partitioner_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3641560Z copying src/executorch/extension/llm/export/quantizer_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3642280Z copying src/executorch/extension/llm/export/test_export_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export 2025-06-05T19:04:23.3642840Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules 2025-06-05T19:04:23.3643390Z copying src/executorch/extension/llm/modules/attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules 2025-06-05T19:04:23.3644090Z copying src/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules 2025-06-05T19:04:23.3644780Z copying src/executorch/extension/llm/modules/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules 2025-06-05T19:04:23.3645440Z copying src/executorch/extension/llm/modules/kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules 2025-06-05T19:04:23.3646010Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/test 2025-06-05T19:04:23.3646730Z copying src/executorch/extension/llm/tokenizers/test/test_tiktoken.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/test 2025-06-05T19:04:23.3647460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3648190Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3649130Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3650020Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3650950Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3651910Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:23.3652670Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T19:04:23.3653450Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T19:04:23.3654260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3655130Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3656250Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3657030Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:23.3657780Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:23.3658760Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:23.3659540Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T19:04:23.3660390Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T19:04:23.3661240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:23.3662100Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:23.3731160Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:23.3732040Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T19:04:23.3733040Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T19:04:23.3733910Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:23.3734800Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:23.3735970Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:23.3736960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:23.3738050Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:23.3739410Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:23.3740730Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:23.3742040Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:23.3743020Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T19:04:23.3743940Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T19:04:23.3744830Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T19:04:23.3745700Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T19:04:23.3746580Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T19:04:23.3747440Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T19:04:23.3748330Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T19:04:23.3749260Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T19:04:23.3750200Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T19:04:23.3751170Z copying src/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T19:04:23.3752150Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T19:04:23.3753050Z copying src/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T19:04:23.3753910Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:23.3754670Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:23.3755610Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:23.3756610Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:23.3757370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T19:04:23.3758160Z copying src/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T19:04:23.3758940Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:23.3759700Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:23.3760670Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:23.3761630Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:23.3762440Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T19:04:23.3763310Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T19:04:23.3764160Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3764960Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3766010Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3767050Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3768090Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3769150Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3770240Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3771290Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3772300Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:23.3773120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3773950Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3836130Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3837240Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3838290Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3839330Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:23.3840180Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T19:04:23.3841060Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T19:04:23.3841940Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3842880Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3844180Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:23.3845020Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant 2025-06-05T19:04:23.3845720Z copying src/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant 2025-06-05T19:04:23.3846460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:23.3847240Z copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:23.3848230Z copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:23.3849050Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test 2025-06-05T19:04:23.3849720Z copying src/executorch/extension/llm/export/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test 2025-06-05T19:04:23.3850450Z copying src/executorch/extension/llm/export/test/test_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test 2025-06-05T19:04:23.3851050Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test 2025-06-05T19:04:23.3851680Z copying src/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test 2025-06-05T19:04:23.3852550Z copying src/executorch/extension/llm/modules/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test 2025-06-05T19:04:23.3853400Z copying src/executorch/extension/llm/modules/test/test_attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test 2025-06-05T19:04:23.3854250Z copying src/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test 2025-06-05T19:04:23.3854870Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings 2025-06-05T19:04:23.3855510Z copying src/executorch/extension/training/pybindings/_training_module.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings 2025-06-05T19:04:23.3856160Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings/test 2025-06-05T19:04:23.3856810Z copying src/executorch/extension/training/pybindings/test/test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings/test 2025-06-05T19:04:23.3857430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR 2025-06-05T19:04:23.3858070Z copying src/executorch/extension/training/examples/XOR/export_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR 2025-06-05T19:04:23.3858910Z copying src/executorch/extension/training/examples/XOR/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR 2025-06-05T19:04:23.3859550Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR/test 2025-06-05T19:04:23.3860230Z copying src/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR/test 2025-06-05T19:04:23.3860890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/module/test/resources 2025-06-05T19:04:23.3861550Z copying src/executorch/extension/module/test/resources/gen_bundled_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/module/test/resources 2025-06-05T19:04:23.3862190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/converters 2025-06-05T19:04:23.3862830Z copying src/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/converters 2025-06-05T19:04:23.3863450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test 2025-06-05T19:04:23.3864040Z copying src/executorch/extension/pybindings/test/make_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test 2025-06-05T19:04:23.3864810Z copying src/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test 2025-06-05T19:04:23.3865600Z copying src/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test 2025-06-05T19:04:23.3866250Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/test 2025-06-05T19:04:23.3866910Z copying src/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/test 2025-06-05T19:04:23.3867500Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:23.3868130Z copying src/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:23.3868940Z copying src/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:23.3869730Z copying src/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:23.3870290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp 2025-06-05T19:04:23.3870820Z copying src/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp 2025-06-05T19:04:23.3871500Z copying src/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp 2025-06-05T19:04:23.3872110Z copying src/executorch/backends/nxp/nxp_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp 2025-06-05T19:04:23.3872730Z copying src/executorch/backends/nxp/neutron_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp 2025-06-05T19:04:23.3873260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm 2025-06-05T19:04:23.3873800Z copying src/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm 2025-06-05T19:04:23.3874330Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example 2025-06-05T19:04:23.3874870Z copying src/executorch/backends/example/test_example_delegate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example 2025-06-05T19:04:23.3875550Z copying src/executorch/backends/example/example_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example 2025-06-05T19:04:23.3876240Z copying src/executorch/backends/example/example_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example 2025-06-05T19:04:23.3876890Z copying src/executorch/backends/example/example_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example 2025-06-05T19:04:23.3877400Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino 2025-06-05T19:04:23.3932060Z copying src/executorch/backends/openvino/partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino 2025-06-05T19:04:23.3932760Z copying src/executorch/backends/openvino/preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino 2025-06-05T19:04:23.3933400Z copying src/executorch/backends/openvino/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino 2025-06-05T19:04:23.3933900Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek 2025-06-05T19:04:23.3934430Z copying src/executorch/backends/mediatek/partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek 2025-06-05T19:04:23.3935090Z copying src/executorch/backends/mediatek/preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek 2025-06-05T19:04:23.3935730Z copying src/executorch/backends/mediatek/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek 2025-06-05T19:04:23.3936230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3936890Z copying src/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3937680Z copying src/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3938370Z copying src/executorch/backends/transforms/fuse_view_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3939060Z copying src/executorch/backends/transforms/remove_getitem_op.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3939720Z copying src/executorch/backends/transforms/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3940400Z copying src/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3941120Z copying src/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3941920Z copying src/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3942670Z copying src/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3943330Z copying src/executorch/backends/transforms/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3943990Z copying src/executorch/backends/transforms/remove_clone_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3944670Z copying src/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3945380Z copying src/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3951250Z copying src/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3951960Z copying src/executorch/backends/transforms/decompose_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms 2025-06-05T19:04:23.3952490Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3953020Z copying src/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3953660Z copying src/executorch/backends/vulkan/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3954260Z copying src/executorch/backends/vulkan/op_registry.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3954880Z copying src/executorch/backends/vulkan/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3955510Z copying src/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan 2025-06-05T19:04:23.3956000Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack 2025-06-05T19:04:23.3956480Z copying src/executorch/backends/xnnpack/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack 2025-06-05T19:04:23.3957130Z copying src/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack 2025-06-05T19:04:23.3957650Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3958160Z copying src/executorch/backends/arm/ethosu_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3958840Z copying src/executorch/backends/arm/tosa_specification.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3959550Z copying src/executorch/backends/arm/tosa_mapping.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3960150Z copying src/executorch/backends/arm/tosa_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3960730Z copying src/executorch/backends/arm/vgf_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3961340Z copying src/executorch/backends/arm/tosa_quant_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3961950Z copying src/executorch/backends/arm/vgf_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3962540Z copying src/executorch/backends/arm/arm_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3963130Z copying src/executorch/backends/arm/process_node.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3963770Z copying src/executorch/backends/arm/ethosu_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3964350Z copying src/executorch/backends/arm/tosa_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3964930Z copying src/executorch/backends/arm/arm_vela.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3965530Z copying src/executorch/backends/arm/tosa_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm 2025-06-05T19:04:23.3966020Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps 2025-06-05T19:04:23.3966560Z copying src/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps 2025-06-05T19:04:23.3967230Z copying src/executorch/backends/apple/mps/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps 2025-06-05T19:04:23.3967750Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3968300Z copying src/executorch/backends/apple/mps/test/test_mps.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3969010Z copying src/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3969730Z copying src/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3970460Z copying src/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3971320Z copying src/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3972070Z copying src/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3972810Z copying src/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test 2025-06-05T19:04:23.3973410Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.3974030Z copying src/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.3974840Z copying src/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.3975910Z copying src/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.3976710Z copying src/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.3977480Z copying src/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4018840Z copying src/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4019650Z copying src/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4020440Z copying src/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4021250Z copying src/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4022010Z copying src/executorch/backends/apple/mps/operators/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4022760Z copying src/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4023110Z copying src/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4023480Z copying src/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4023840Z copying src/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4024180Z copying src/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4024530Z copying src/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4024880Z copying src/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4025240Z copying src/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4025600Z copying src/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4025990Z copying src/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators 2025-06-05T19:04:23.4026190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization 2025-06-05T19:04:23.4026600Z copying src/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization 2025-06-05T19:04:23.4026990Z copying src/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization 2025-06-05T19:04:23.4027170Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/utils 2025-06-05T19:04:23.4027500Z copying src/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/utils 2025-06-05T19:04:23.4027930Z copying src/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/utils 2025-06-05T19:04:23.4028130Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/partition 2025-06-05T19:04:23.4028500Z copying src/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/partition 2025-06-05T19:04:23.4028850Z copying src/executorch/backends/apple/mps/partition/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/partition 2025-06-05T19:04:23.4029030Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/test 2025-06-05T19:04:23.4029420Z copying src/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/test 2025-06-05T19:04:23.4029790Z copying src/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/test 2025-06-05T19:04:23.4030010Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/partition 2025-06-05T19:04:23.4030360Z copying src/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/partition 2025-06-05T19:04:23.4030770Z copying src/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/partition 2025-06-05T19:04:23.4030960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:23.4031320Z copying src/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:23.4031700Z copying src/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:23.4031890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/compiler 2025-06-05T19:04:23.4032280Z copying src/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/compiler 2025-06-05T19:04:23.4032630Z copying src/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/compiler 2025-06-05T19:04:23.4032840Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/runtime/test 2025-06-05T19:04:23.4033250Z copying src/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/runtime/test 2025-06-05T19:04:23.4033430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4033760Z copying src/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4034090Z copying src/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4034420Z copying src/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4034700Z copying src/executorch/backends/nxp/tests/models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4035040Z copying src/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4035420Z copying src/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4035790Z copying src/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4036090Z copying src/executorch/backends/nxp/tests/executors.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4036430Z copying src/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4036770Z copying src/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4037080Z copying src/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests 2025-06-05T19:04:23.4037250Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend 2025-06-05T19:04:23.4037590Z copying src/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend 2025-06-05T19:04:23.4037970Z copying src/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend 2025-06-05T19:04:23.4038300Z copying src/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend 2025-06-05T19:04:23.4038610Z copying src/executorch/backends/nxp/backend/edge_helper.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend 2025-06-05T19:04:23.4038790Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes 2025-06-05T19:04:23.4039140Z copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes 2025-06-05T19:04:23.4039510Z copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes 2025-06-05T19:04:23.4073070Z copying src/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes 2025-06-05T19:04:23.4073250Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer 2025-06-05T19:04:23.4073620Z copying src/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer 2025-06-05T19:04:23.4073940Z copying src/executorch/backends/nxp/quantizer/patterns.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer 2025-06-05T19:04:23.4074260Z copying src/executorch/backends/nxp/quantizer/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer 2025-06-05T19:04:23.4074510Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4075010Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4075480Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4075960Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4076520Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4077040Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4077520Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4078010Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4078490Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4078970Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:23.4079190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir 2025-06-05T19:04:23.4079530Z copying src/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir 2025-06-05T19:04:23.4079880Z copying src/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir 2025-06-05T19:04:23.4080190Z copying src/executorch/backends/nxp/backend/ir/logger.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir 2025-06-05T19:04:23.4080540Z copying src/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir 2025-06-05T19:04:23.4080760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:23.4081180Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:23.4081580Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:23.4081780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:23.4082150Z copying src/executorch/backends/nxp/backend/ir/converter/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:23.4082540Z copying src/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:23.4082950Z copying src/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:23.4083330Z copying src/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:23.4083550Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4083990Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4084410Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4084880Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4085320Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4085740Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4086140Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:23.4086320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib 2025-06-05T19:04:23.4086660Z copying src/executorch/backends/nxp/backend/ir/lib/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib 2025-06-05T19:04:23.4086920Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T19:04:23.4087490Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T19:04:23.4087760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4088280Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4088780Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4089300Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4089810Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4090330Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4090850Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4091360Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4091850Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4092420Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4130160Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4130770Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4131310Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4131830Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4132340Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4132850Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4133400Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4133900Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4134440Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4134950Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4135500Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4136020Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4136600Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4137120Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4137680Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4138190Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4138700Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4139260Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4139810Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4140310Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4140800Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4141280Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4141820Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4142370Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4142920Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4143440Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4143920Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4144430Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4144950Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4145450Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4145950Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4146480Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4147010Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4147530Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4148090Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4148620Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4149140Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4149650Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4193220Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4193830Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4194360Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4194870Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4195390Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4195900Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4196420Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4196930Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4197450Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4197960Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4198480Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4198980Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4199540Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4200110Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4200660Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4201180Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4201690Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4202200Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4202750Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4203280Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4203780Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4204310Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4204820Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4205320Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4205810Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4206310Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4206820Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4207370Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4207920Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4208440Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4209010Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4209510Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4210020Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4210540Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4211040Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:23.4211300Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:23.4211730Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:23.4212150Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:23.4212570Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:23.4279850Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T19:04:23.4280350Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T19:04:23.4280590Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:23.4281050Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:23.4281500Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:23.4281960Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:23.4282450Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:23.4282680Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:23.4283160Z copying src/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:23.4283620Z copying src/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:23.4284110Z copying src/executorch/backends/nxp/backend/ir/converter/builder/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:23.4284640Z copying src/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:23.4284930Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4285520Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4286090Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4286670Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4287290Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4287850Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4288380Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4288970Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4289530Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4290240Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4290840Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4291430Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4292000Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4292580Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:23.4292860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:23.4293440Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:23.4294000Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:23.4294540Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:23.4295040Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:23.4295300Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4295970Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4296570Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4297090Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4297680Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4298240Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4298790Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4299330Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4299810Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4300350Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4349400Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4350020Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4350570Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4351220Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4351800Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4352370Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4352910Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:23.4353120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4353580Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4354030Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4354460Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4354930Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4355380Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4355810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4356210Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4356620Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4357030Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4357430Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4357830Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4358270Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4358700Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4359130Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4359550Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4360050Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4360480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4360890Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4361290Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4361710Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4362140Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4362590Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4363030Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4363410Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4363850Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4364280Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4364700Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4365150Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4365570Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4365980Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4366400Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4366790Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4367220Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4367650Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4368040Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4368490Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4368930Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4369350Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4369760Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4416020Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4416450Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4416980Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4417380Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4417780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4418180Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4418610Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4419080Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4419480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4419930Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4420390Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4420810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4421220Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4421650Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4422060Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4422480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4422900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4423360Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4423780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4424180Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4424610Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4425070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4425500Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4425920Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4426380Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4426780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4427190Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4427670Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4428110Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4428530Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4428930Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4429320Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4429740Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4430170Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4430560Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4430940Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4431360Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4431970Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4432490Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4432960Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4433430Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4433900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4434310Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4434740Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4435180Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4435660Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4436070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4436480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4482500Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4482940Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4483390Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4483810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4484230Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4484640Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4485020Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4485410Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4485810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4486310Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4486750Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4487150Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4487530Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4487910Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4488310Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4488780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4489210Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4489660Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4490110Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4490520Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4490940Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4491380Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4491790Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4492210Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4492640Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4493070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4493470Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4493890Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4494320Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4494830Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4495260Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4495660Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4496060Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4496500Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4496930Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4497350Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4497770Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4498220Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4498630Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4499050Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4499480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4499900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4500300Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4500730Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4501120Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4501550Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4501960Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4502350Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4568130Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4568600Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4569110Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4569580Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4569970Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4570370Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4570770Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4571190Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4571650Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4572050Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4572460Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4572890Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4573340Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4573900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4574310Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4574750Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4575180Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4575580Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4575980Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4576380Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4576800Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4577220Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4577620Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4578140Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4578570Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4579000Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4579390Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4579790Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4580210Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4580660Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4581070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4581490Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4581900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4582310Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4582730Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4583150Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4583600Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4584000Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4584410Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4584810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4585300Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4585720Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4586130Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4586600Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4587070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4587480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4587900Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4588370Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4656780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:23.4657030Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4657380Z copying src/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4657710Z copying src/executorch/backends/qualcomm/builders/op_full.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4658040Z copying src/executorch/backends/qualcomm/builders/op_index.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4658360Z copying src/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4658700Z copying src/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4659030Z copying src/executorch/backends/qualcomm/builders/op_min.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4659350Z copying src/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4659680Z copying src/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4660020Z copying src/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4660360Z copying src/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4660710Z copying src/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4661080Z copying src/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4661410Z copying src/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4661740Z copying src/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4662060Z copying src/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4662400Z copying src/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4662820Z copying src/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4663160Z copying src/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4663510Z copying src/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4663860Z copying src/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4664170Z copying src/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4664490Z copying src/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4664870Z copying src/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4665200Z copying src/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4665540Z copying src/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4665880Z copying src/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4666210Z copying src/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4666560Z copying src/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4666910Z copying src/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4667270Z copying src/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4667600Z copying src/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4667920Z copying src/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4668250Z copying src/executorch/backends/qualcomm/builders/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4668580Z copying src/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4668910Z copying src/executorch/backends/qualcomm/builders/op_where.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4669220Z copying src/executorch/backends/qualcomm/builders/op_and.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4669550Z copying src/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4669870Z copying src/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4676850Z copying src/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4677340Z copying src/executorch/backends/qualcomm/builders/op_to.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4677680Z copying src/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4678030Z copying src/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4678370Z copying src/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4678700Z copying src/executorch/backends/qualcomm/builders/op_max.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4679030Z copying src/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4679400Z copying src/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4679750Z copying src/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4680090Z copying src/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4680460Z copying src/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4680780Z copying src/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4681120Z copying src/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4681450Z copying src/executorch/backends/qualcomm/builders/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4681790Z copying src/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4682110Z copying src/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4751930Z copying src/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4752300Z copying src/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4752670Z copying src/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4753000Z copying src/executorch/backends/qualcomm/builders/op_or.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4753320Z copying src/executorch/backends/qualcomm/builders/op_div.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4753670Z copying src/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4754000Z copying src/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4754350Z copying src/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4754810Z copying src/executorch/backends/qualcomm/builders/op_log.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4755210Z copying src/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4755520Z copying src/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4755860Z copying src/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4756200Z copying src/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4756550Z copying src/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4756900Z copying src/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4757320Z copying src/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4757650Z copying src/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4758000Z copying src/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4758320Z copying src/executorch/backends/qualcomm/builders/op_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4758650Z copying src/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4758970Z copying src/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4759290Z copying src/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4759630Z copying src/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4759960Z copying src/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4760300Z copying src/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4760630Z copying src/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4760970Z copying src/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4761290Z copying src/executorch/backends/qualcomm/builders/op_le.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4761610Z copying src/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4761940Z copying src/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4762280Z copying src/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4762670Z copying src/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4763030Z copying src/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4763360Z copying src/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4763680Z copying src/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4764000Z copying src/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders 2025-06-05T19:04:23.4764190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization 2025-06-05T19:04:23.4764590Z copying src/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization 2025-06-05T19:04:23.4764990Z copying src/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization 2025-06-05T19:04:23.4765170Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests 2025-06-05T19:04:23.4765490Z copying src/executorch/backends/qualcomm/tests/models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests 2025-06-05T19:04:23.4765840Z copying src/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests 2025-06-05T19:04:23.4766150Z copying src/executorch/backends/qualcomm/tests/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests 2025-06-05T19:04:23.4766320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/utils 2025-06-05T19:04:23.4766640Z copying src/executorch/backends/qualcomm/utils/constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/utils 2025-06-05T19:04:23.4766960Z copying src/executorch/backends/qualcomm/utils/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/utils 2025-06-05T19:04:23.4767140Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4767490Z copying src/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4767820Z copying src/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4768160Z copying src/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4768520Z copying src/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4768840Z copying src/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4769190Z copying src/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4769530Z copying src/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4769890Z copying src/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4770300Z copying src/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4770700Z copying src/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4848420Z copying src/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4848790Z copying src/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4849100Z copying src/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4849450Z copying src/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4849880Z copying src/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4850220Z copying src/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4850580Z copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4850920Z copying src/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4851260Z copying src/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4851580Z copying src/executorch/backends/qualcomm/_passes/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4851920Z copying src/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4852300Z copying src/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4852650Z copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4853020Z copying src/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4853360Z copying src/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4853720Z copying src/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4854080Z copying src/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4854410Z copying src/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4854760Z copying src/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4855100Z copying src/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4855480Z copying src/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4855860Z copying src/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4856200Z copying src/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4856520Z copying src/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4856870Z copying src/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4857210Z copying src/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4857530Z copying src/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes 2025-06-05T19:04:23.4857750Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/debugger 2025-06-05T19:04:23.4858090Z copying src/executorch/backends/qualcomm/debugger/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/debugger 2025-06-05T19:04:23.4858270Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition 2025-06-05T19:04:23.4858630Z copying src/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition 2025-06-05T19:04:23.4858960Z copying src/executorch/backends/qualcomm/partition/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition 2025-06-05T19:04:23.4859320Z copying src/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition 2025-06-05T19:04:23.4859520Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:23.4859870Z copying src/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:23.4860200Z copying src/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:23.4860550Z copying src/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:23.4860900Z copying src/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:23.4861120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:23.4861560Z copying src/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:23.4862000Z copying src/executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:23.4862250Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:23.4862750Z copying src/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:23.4863290Z copying src/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:23.4863530Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4863890Z copying src/executorch/backends/example/example_operators/flatten.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4864240Z copying src/executorch/backends/example/example_operators/add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4864630Z copying src/executorch/backends/example/example_operators/linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4865000Z copying src/executorch/backends/example/example_operators/op_base.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4865370Z copying src/executorch/backends/example/example_operators/conv_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4865760Z copying src/executorch/backends/example/example_operators/ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4866130Z copying src/executorch/backends/example/example_operators/conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4866480Z copying src/executorch/backends/example/example_operators/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4866860Z copying src/executorch/backends/example/example_operators/dropout.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4867270Z copying src/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators 2025-06-05T19:04:23.4955240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests 2025-06-05T19:04:23.4955610Z copying src/executorch/backends/openvino/tests/test_runner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests 2025-06-05T19:04:23.4955800Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/quantizer 2025-06-05T19:04:23.4956140Z copying src/executorch/backends/openvino/quantizer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/quantizer 2025-06-05T19:04:23.4956490Z copying src/executorch/backends/openvino/quantizer/quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/quantizer 2025-06-05T19:04:23.4956680Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/models 2025-06-05T19:04:23.4957090Z copying src/executorch/backends/openvino/tests/models/test_classification.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/models 2025-06-05T19:04:23.4957270Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4957630Z copying src/executorch/backends/openvino/tests/ops/test_batch_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4957980Z copying src/executorch/backends/openvino/tests/ops/test_arange.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4958340Z copying src/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4958680Z copying src/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4959120Z copying src/executorch/backends/openvino/tests/ops/test_convolution.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4959490Z copying src/executorch/backends/openvino/tests/ops/test_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4959830Z copying src/executorch/backends/openvino/tests/ops/test_addmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4960180Z copying src/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4960520Z copying src/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4960850Z copying src/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4961230Z copying src/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops 2025-06-05T19:04:23.4961440Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/_passes 2025-06-05T19:04:23.4961750Z copying src/executorch/backends/mediatek/_passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/_passes 2025-06-05T19:04:23.4962150Z copying src/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/_passes 2025-06-05T19:04:23.4962330Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer 2025-06-05T19:04:23.4962680Z copying src/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer 2025-06-05T19:04:23.4963010Z copying src/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer 2025-06-05T19:04:23.4963360Z copying src/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer 2025-06-05T19:04:23.4963710Z copying src/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer 2025-06-05T19:04:23.4963880Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test 2025-06-05T19:04:23.4964230Z copying src/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test 2025-06-05T19:04:23.4964620Z copying src/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test 2025-06-05T19:04:23.4965020Z copying src/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test 2025-06-05T19:04:23.4965210Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test 2025-06-05T19:04:23.4965530Z copying src/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test 2025-06-05T19:04:23.4965880Z copying src/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test 2025-06-05T19:04:23.4966200Z copying src/executorch/backends/vulkan/test/test_vulkan_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test 2025-06-05T19:04:23.4966520Z copying src/executorch/backends/vulkan/test/test_serialization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test 2025-06-05T19:04:23.4966760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/partitioner 2025-06-05T19:04:23.4967170Z copying src/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/partitioner 2025-06-05T19:04:23.4967360Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization 2025-06-05T19:04:23.4967740Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization 2025-06-05T19:04:23.4968130Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization 2025-06-05T19:04:23.4968520Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization 2025-06-05T19:04:23.4968700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime 2025-06-05T19:04:23.4969060Z copying src/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime 2025-06-05T19:04:23.4969230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4969560Z copying src/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4969880Z copying src/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4970230Z copying src/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4970580Z copying src/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4970910Z copying src/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4971280Z copying src/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4971590Z copying src/executorch/backends/vulkan/_passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4971930Z copying src/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4972240Z copying src/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes 2025-06-05T19:04:23.4972430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/quantizer 2025-06-05T19:04:23.4972780Z copying src/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/quantizer 2025-06-05T19:04:23.4972970Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:23.4973370Z copying src/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:23.4973750Z copying src/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:23.5041500Z copying src/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:23.5041780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5042210Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5042620Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5043040Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5043420Z copying src/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5043800Z copying src/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5044240Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:23.5044440Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/volk 2025-06-05T19:04:23.5044820Z copying src/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/volk 2025-06-05T19:04:23.5045120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T19:04:23.5045740Z copying src/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T19:04:23.5046000Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5046490Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5046970Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5047440Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5047920Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5048430Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5048890Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5049380Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:23.5049660Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T19:04:23.5050360Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T19:04:23.5050570Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test 2025-06-05T19:04:23.5050910Z copying src/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test 2025-06-05T19:04:23.5051260Z copying src/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test 2025-06-05T19:04:23.5051450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5051790Z copying src/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5052130Z copying src/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5052460Z copying src/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5052880Z copying src/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5053220Z copying src/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5053570Z copying src/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5053880Z copying src/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5054210Z copying src/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5054590Z copying src/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5054920Z copying src/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5055250Z copying src/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5055570Z copying src/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5055910Z copying src/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5056260Z copying src/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5056600Z copying src/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5056960Z copying src/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5057290Z copying src/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5057670Z copying src/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5058010Z copying src/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5058410Z copying src/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5058740Z copying src/executorch/backends/xnnpack/operators/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5059080Z copying src/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5059410Z copying src/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5059740Z copying src/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5060080Z copying src/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5060440Z copying src/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5060780Z copying src/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5125810Z copying src/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5126170Z copying src/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5126510Z copying src/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5126870Z copying src/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5127210Z copying src/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5127540Z copying src/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5127870Z copying src/executorch/backends/xnnpack/operators/op_div.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5128190Z copying src/executorch/backends/xnnpack/operators/op_log.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5128530Z copying src/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5128870Z copying src/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5129210Z copying src/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5129560Z copying src/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5129880Z copying src/executorch/backends/xnnpack/operators/op_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5130250Z copying src/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5130580Z copying src/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5131020Z copying src/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5131360Z copying src/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5131690Z copying src/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5132010Z copying src/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5132360Z copying src/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5132710Z copying src/executorch/backends/xnnpack/operators/op_square.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5133080Z copying src/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators 2025-06-05T19:04:23.5133270Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization 2025-06-05T19:04:23.5133680Z copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization 2025-06-05T19:04:23.5134060Z copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization 2025-06-05T19:04:23.5134230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils 2025-06-05T19:04:23.5134550Z copying src/executorch/backends/xnnpack/utils/configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils 2025-06-05T19:04:23.5134890Z copying src/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils 2025-06-05T19:04:23.5135210Z copying src/executorch/backends/xnnpack/utils/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils 2025-06-05T19:04:23.5135520Z copying src/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils 2025-06-05T19:04:23.5135690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5136060Z copying src/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5136390Z copying src/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5136740Z copying src/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5137060Z copying src/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5137440Z copying src/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5137780Z copying src/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5138090Z copying src/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5138480Z copying src/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5138850Z copying src/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5139180Z copying src/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5139520Z copying src/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5139860Z copying src/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes 2025-06-05T19:04:23.5140050Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party 2025-06-05T19:04:23.5140450Z copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party 2025-06-05T19:04:23.5140670Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition 2025-06-05T19:04:23.5141010Z copying src/executorch/backends/xnnpack/partition/configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition 2025-06-05T19:04:23.5141380Z copying src/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition 2025-06-05T19:04:23.5141560Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/quantizer 2025-06-05T19:04:23.5141920Z copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/quantizer 2025-06-05T19:04:23.5142300Z copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/quantizer 2025-06-05T19:04:23.5142510Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:23.5142930Z copying src/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:23.5143360Z copying src/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:23.5143550Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5143940Z copying src/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5144330Z copying src/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5217510Z copying src/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5217920Z copying src/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5218310Z copying src/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5218700Z copying src/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5219120Z copying src/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:23.5219460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5219830Z copying src/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5220170Z copying src/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5220510Z copying src/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5220880Z copying src/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5221250Z copying src/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5221600Z copying src/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5221990Z copying src/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5222350Z copying src/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5222700Z copying src/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5223060Z copying src/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5223400Z copying src/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5223740Z copying src/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5224100Z copying src/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models 2025-06-05T19:04:23.5224280Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/tester 2025-06-05T19:04:23.5224610Z copying src/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/tester 2025-06-05T19:04:23.5224930Z copying src/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/tester 2025-06-05T19:04:23.5225110Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5225430Z copying src/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5225760Z copying src/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5226090Z copying src/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5226420Z copying src/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5226750Z copying src/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5227160Z copying src/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5227510Z copying src/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5227850Z copying src/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5228170Z copying src/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5228500Z copying src/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5228840Z copying src/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5229200Z copying src/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5229560Z copying src/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5229890Z copying src/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5230220Z copying src/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5230540Z copying src/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5230870Z copying src/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5231200Z copying src/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5231520Z copying src/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5231880Z copying src/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5232200Z copying src/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5232540Z copying src/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5232860Z copying src/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5233180Z copying src/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5233500Z copying src/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5233830Z copying src/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5234160Z copying src/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5234490Z copying src/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5234860Z copying src/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5235210Z copying src/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5235550Z copying src/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5235870Z copying src/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5236190Z copying src/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5557780Z copying src/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5558570Z copying src/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5559420Z copying src/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5560170Z copying src/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5560900Z copying src/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5561640Z copying src/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5562390Z copying src/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5563140Z copying src/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5563880Z copying src/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5564610Z copying src/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:23.5565200Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:23.5565860Z copying src/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:23.5566720Z copying src/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:23.5567580Z copying src/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:23.5568260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:23.5568980Z copying src/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:23.5569680Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:23.5570330Z copying src/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:23.5570990Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:23.5571750Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:23.5572460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:23.5573110Z copying src/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:23.5573780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5574500Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5575460Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5576490Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5577580Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5578630Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5579650Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5580670Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5581690Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5582700Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5583640Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5584580Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5585580Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5586570Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5587570Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5588590Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5589660Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5590670Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5591650Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5592600Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5593580Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5594580Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5595600Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5596620Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5597630Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5598600Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5599590Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5645430Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:23.5646240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:23.5647020Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:23.5648010Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:23.5648980Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:23.5650000Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:23.5650780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:23.5651570Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:23.5652670Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:23.5653700Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:23.5654480Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:23.5655250Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:23.5656000Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T19:04:23.5656750Z copying src/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T19:04:23.5657490Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:23.5658260Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:23.5659180Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:23.5660110Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:23.5660810Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5661480Z copying src/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5662320Z copying src/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5663180Z copying src/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5664000Z copying src/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5664850Z copying src/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5665720Z copying src/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:23.5666400Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:23.5667040Z copying src/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:23.5667870Z copying src/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:23.5668470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test 2025-06-05T19:04:23.5668980Z copying src/executorch/backends/arm/test/test_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test 2025-06-05T19:04:23.5669630Z copying src/executorch/backends/arm/test/conftest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test 2025-06-05T19:04:23.5670320Z copying src/executorch/backends/arm/test/runner_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test 2025-06-05T19:04:23.5670990Z copying src/executorch/backends/arm/test/common.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test 2025-06-05T19:04:23.5671500Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5677340Z copying src/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5678010Z copying src/executorch/backends/arm/operators/op_ge.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5678690Z copying src/executorch/backends/arm/operators/op_maximum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5679380Z copying src/executorch/backends/arm/operators/op_slice.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5680060Z copying src/executorch/backends/arm/operators/op_view.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5680780Z copying src/executorch/backends/arm/operators/op_minimum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5681460Z copying src/executorch/backends/arm/operators/op_mul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5682130Z copying src/executorch/backends/arm/operators/op_bmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5682800Z copying src/executorch/backends/arm/operators/op_amax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5683540Z copying src/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5684300Z copying src/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5685000Z copying src/executorch/backends/arm/operators/op_sub.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5685660Z copying src/executorch/backends/arm/operators/op_any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5686340Z copying src/executorch/backends/arm/operators/ops_identity.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5687050Z copying src/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5687760Z copying src/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5688470Z copying src/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5689160Z copying src/executorch/backends/arm/operators/op_sum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5689820Z copying src/executorch/backends/arm/operators/op_sin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5690480Z copying src/executorch/backends/arm/operators/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5691160Z copying src/executorch/backends/arm/operators/op_where.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5727030Z copying src/executorch/backends/arm/operators/op_exp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5727820Z copying src/executorch/backends/arm/operators/op_lt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5728540Z copying src/executorch/backends/arm/operators/op_transpose.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5729250Z copying src/executorch/backends/arm/operators/op_rescale.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5729930Z copying src/executorch/backends/arm/operators/op_pow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5730620Z copying src/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5731340Z copying src/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5732070Z copying src/executorch/backends/arm/operators/op_permute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5732790Z copying src/executorch/backends/arm/operators/op_eq.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5733460Z copying src/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5734150Z copying src/executorch/backends/arm/operators/op_gt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5734820Z copying src/executorch/backends/arm/operators/op_tanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5735500Z copying src/executorch/backends/arm/operators/op_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5736160Z copying src/executorch/backends/arm/operators/ops_unary.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5736840Z copying src/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5737520Z copying src/executorch/backends/arm/operators/op_log.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5738170Z copying src/executorch/backends/arm/operators/op_repeat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5738820Z copying src/executorch/backends/arm/operators/op_neg.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5739490Z copying src/executorch/backends/arm/operators/op_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5740210Z copying src/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5740910Z copying src/executorch/backends/arm/operators/op_amin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5741600Z copying src/executorch/backends/arm/operators/node_visitor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5742290Z copying src/executorch/backends/arm/operators/op_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5742950Z copying src/executorch/backends/arm/operators/op_cos.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5743620Z copying src/executorch/backends/arm/operators/op_to_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5744360Z copying src/executorch/backends/arm/operators/op_le.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5745080Z copying src/executorch/backends/arm/operators/op_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5745760Z copying src/executorch/backends/arm/operators/ops_binary.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5746440Z copying src/executorch/backends/arm/operators/op_abs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5747100Z copying src/executorch/backends/arm/operators/op_table.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5747770Z copying src/executorch/backends/arm/operators/op_erf.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators 2025-06-05T19:04:23.5748290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/util 2025-06-05T19:04:23.5748830Z copying src/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/util 2025-06-05T19:04:23.5749430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5750050Z copying src/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5750840Z copying src/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5751600Z copying src/executorch/backends/arm/operator_support/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5752360Z copying src/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5753170Z copying src/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5753950Z copying src/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5754750Z copying src/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5755580Z copying src/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5756390Z copying src/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5757200Z copying src/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5757980Z copying src/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support 2025-06-05T19:04:23.5758570Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5759160Z copying src/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5759890Z copying src/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5760600Z copying src/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5761400Z copying src/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5762130Z copying src/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5762860Z copying src/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5763540Z copying src/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5764230Z copying src/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5764910Z copying src/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5765590Z copying src/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5766280Z copying src/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5766990Z copying src/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5818210Z copying src/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5818950Z copying src/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5819670Z copying src/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5820370Z copying src/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5821070Z copying src/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5821760Z copying src/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5822440Z copying src/executorch/backends/arm/_passes/decompose_select.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5823120Z copying src/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5823760Z copying src/executorch/backends/arm/_passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5824450Z copying src/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5825200Z copying src/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5825950Z copying src/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5826720Z copying src/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5827460Z copying src/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5828320Z copying src/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5829110Z copying src/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5829880Z copying src/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5830610Z copying src/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5831350Z copying src/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5832170Z copying src/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5832890Z copying src/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5833600Z copying src/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5834340Z copying src/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5835060Z copying src/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5835780Z copying src/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5836500Z copying src/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5837200Z copying src/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5837930Z copying src/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5838630Z copying src/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5839350Z copying src/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5840130Z copying src/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5840870Z copying src/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5841590Z copying src/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5842310Z copying src/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5843000Z copying src/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5843780Z copying src/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5844560Z copying src/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5845330Z copying src/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5846050Z copying src/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5846720Z copying src/executorch/backends/arm/_passes/arm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5847360Z copying src/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes 2025-06-05T19:04:23.5847890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/scripts 2025-06-05T19:04:23.5848440Z copying src/executorch/backends/arm/scripts/parse_test_names.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/scripts 2025-06-05T19:04:23.5848990Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5849590Z copying src/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5850280Z copying src/executorch/backends/arm/quantizer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5850990Z copying src/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5851740Z copying src/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5852500Z copying src/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer 2025-06-05T19:04:23.5853100Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5853680Z copying src/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5854450Z copying src/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5855200Z copying src/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5855920Z copying src/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5856670Z copying src/executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5857390Z copying src/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5858110Z copying src/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5901100Z copying src/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5901850Z copying src/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5902610Z copying src/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5903660Z copying src/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc 2025-06-05T19:04:23.5904370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tosautil 2025-06-05T19:04:23.5904940Z copying src/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tosautil 2025-06-05T19:04:23.5905530Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5906140Z copying src/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5906940Z copying src/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5907730Z copying src/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5908580Z copying src/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5909430Z copying src/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5910250Z copying src/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5911030Z copying src/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5911840Z copying src/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5912680Z copying src/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5913480Z copying src/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5914310Z copying src/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5915070Z copying src/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5915850Z copying src/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5916650Z copying src/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5917460Z copying src/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5918260Z copying src/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5919040Z copying src/executorch/backends/arm/test/passes/test_broadcast_args_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5919820Z copying src/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5920640Z copying src/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5921470Z copying src/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5922280Z copying src/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5923060Z copying src/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes 2025-06-05T19:04:23.5923700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5924270Z copying src/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5924990Z copying src/executorch/backends/arm/test/models/test_llama.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5925720Z copying src/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5926510Z copying src/executorch/backends/arm/test/models/test_mobilenet_v3_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5927260Z copying src/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5928000Z copying src/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5928730Z copying src/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5929500Z copying src/executorch/backends/arm/test/models/test_conformer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5930220Z copying src/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5930970Z copying src/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5931690Z copying src/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models 2025-06-05T19:04:23.5932240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester 2025-06-05T19:04:23.5932860Z copying src/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester 2025-06-05T19:04:23.5933600Z copying src/executorch/backends/arm/test/tester/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester 2025-06-05T19:04:23.5934290Z copying src/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester 2025-06-05T19:04:23.5934990Z copying src/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester 2025-06-05T19:04:23.5935610Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5936200Z copying src/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5936890Z copying src/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5937590Z copying src/executorch/backends/arm/test/ops/test_le.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5938300Z copying src/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5939050Z copying src/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5939760Z copying src/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5940480Z copying src/executorch/backends/arm/test/ops/test_cat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5941150Z copying src/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5941800Z copying src/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5981820Z copying src/executorch/backends/arm/test/ops/test_amin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5982560Z copying src/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5983230Z copying src/executorch/backends/arm/test/ops/test_cos.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5983920Z copying src/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5984620Z copying src/executorch/backends/arm/test/ops/test_eye.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5985290Z copying src/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5985980Z copying src/executorch/backends/arm/test/ops/test_split.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5986670Z copying src/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5987350Z copying src/executorch/backends/arm/test/ops/test_ne.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5988010Z copying src/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5988700Z copying src/executorch/backends/arm/test/ops/test_logical.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5989400Z copying src/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5990090Z copying src/executorch/backends/arm/test/ops/test_abs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5990770Z copying src/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5991470Z copying src/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5992180Z copying src/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5992840Z copying src/executorch/backends/arm/test/ops/test_erf.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5993510Z copying src/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5994270Z copying src/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5995020Z copying src/executorch/backends/arm/test/ops/test_arange.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5995700Z copying src/executorch/backends/arm/test/ops/test_permute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5996370Z copying src/executorch/backends/arm/test/ops/test_eq.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5997030Z copying src/executorch/backends/arm/test/ops/test_select.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5997700Z copying src/executorch/backends/arm/test/ops/test_unary.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5998380Z copying src/executorch/backends/arm/test/ops/test_at.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5999140Z copying src/executorch/backends/arm/test/ops/test_pow.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.5999810Z copying src/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6000520Z copying src/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6001230Z copying src/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6001910Z copying src/executorch/backends/arm/test/ops/test_neg.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6002620Z copying src/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6003300Z copying src/executorch/backends/arm/test/ops/test_expand.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6003970Z copying src/executorch/backends/arm/test/ops/test_add.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6004640Z copying src/executorch/backends/arm/test/ops/test_clone.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6005310Z copying src/executorch/backends/arm/test/ops/test_gt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6006000Z copying src/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6006740Z copying src/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6007430Z copying src/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6008090Z copying src/executorch/backends/arm/test/ops/test_log.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6008740Z copying src/executorch/backends/arm/test/ops/test_div.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6009410Z copying src/executorch/backends/arm/test/ops/test_sum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6010130Z copying src/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6010890Z copying src/executorch/backends/arm/test/ops/test_any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6011600Z copying src/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6012300Z copying src/executorch/backends/arm/test/ops/test_mm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6012960Z copying src/executorch/backends/arm/test/ops/test_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6013610Z copying src/executorch/backends/arm/test/ops/test_amax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6014280Z copying src/executorch/backends/arm/test/ops/test_exp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6014940Z copying src/executorch/backends/arm/test/ops/test_view.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6015660Z copying src/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6016320Z copying src/executorch/backends/arm/test/ops/test_zeros.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6016980Z copying src/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6017700Z copying src/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6018380Z copying src/executorch/backends/arm/test/ops/test_lt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6019050Z copying src/executorch/backends/arm/test/ops/test_sin.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6019720Z copying src/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6020400Z copying src/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6021120Z copying src/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6021830Z copying src/executorch/backends/arm/test/ops/test_full.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6058930Z copying src/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6059630Z copying src/executorch/backends/arm/test/ops/test_slice.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6060300Z copying src/executorch/backends/arm/test/ops/test_ones.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6060960Z copying src/executorch/backends/arm/test/ops/test_var.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6061630Z copying src/executorch/backends/arm/test/ops/test_linear.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6062300Z copying src/executorch/backends/arm/test/ops/test_mul.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6062950Z copying src/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6063700Z copying src/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6064400Z copying src/executorch/backends/arm/test/ops/test_where.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6065040Z copying src/executorch/backends/arm/test/ops/test_ge.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6065700Z copying src/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6066400Z copying src/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6067150Z copying src/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6067830Z copying src/executorch/backends/arm/test/ops/test_silu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6068540Z copying src/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6069220Z copying src/executorch/backends/arm/test/ops/test_sub.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6069910Z copying src/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6070620Z copying src/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6071310Z copying src/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6072010Z copying src/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6072710Z copying src/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6073380Z copying src/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops 2025-06-05T19:04:23.6073920Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/quantizer 2025-06-05T19:04:23.6074550Z copying src/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/quantizer 2025-06-05T19:04:23.6075220Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib 2025-06-05T19:04:23.6075910Z copying src/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib 2025-06-05T19:04:23.6076690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T19:04:23.6077520Z copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T19:04:23.6078390Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T19:04:23.6079240Z copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T19:04:23.6080110Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:23.6081050Z copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:23.6082200Z copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:23.6083110Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6089460Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6090570Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6091640Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6092780Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6093880Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6094950Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6096060Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6097090Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6098160Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6099160Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6100250Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6101320Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6102400Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6103510Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6104620Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6105750Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6128530Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6129590Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6130660Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6131780Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6132940Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6134010Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6135050Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6136110Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6137180Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6138240Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6139280Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6140310Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6141380Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6142480Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6143560Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6144580Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6145690Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6146740Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:23.6147560Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:23.6148440Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:23.6149350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:23.6150310Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:23.6151550Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:23.6152470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:23.6153420Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:23.6154660Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:23.6155870Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:23.6156780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:23.6157740Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:23.6158690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6159670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6160960Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6162290Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6163600Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6164900Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:23.6165870Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T19:04:23.6166810Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T19:04:23.6167750Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:23.6168750Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:23.6169990Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:23.6218960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6220060Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6221470Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6222840Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6224190Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6225530Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6226890Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6228220Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6229630Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6231020Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6232370Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:23.6233420Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6234560Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6236050Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6237500Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6238960Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6240420Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6241850Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6243290Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6244760Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6246260Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6247720Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6249210Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6250670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6252120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:23.6253230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T19:04:23.6254220Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T19:04:23.6255300Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:23.6256420Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:23.6257850Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:23.6258980Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:23.6260220Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:23.6297480Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:23.6299090Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:23.6300690Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:23.6301840Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T19:04:23.6302830Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T19:04:23.6303890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6304950Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6306270Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6307570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6308860Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6310180Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6311460Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:23.6312470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:23.6313580Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:23.6314980Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:23.6316390Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:23.6317460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:23.6318550Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:23.6319600Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:23.6320610Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:23.6321610Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:23.6322660Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:23.6323990Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:23.6325350Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:23.6326450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:23.6327570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:23.6329090Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:23.6330230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:23.6331380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:23.6332880Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:23.6334390Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:23.6335940Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:23.6337150Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6338390Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6353090Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6354850Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6356540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6358200Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:23.6359430Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:23.6360540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:23.6361930Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:23.6363020Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6364130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6365540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6366910Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6368310Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6369000Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6369670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6370330Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6371020Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6371750Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6372410Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6373130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6373870Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6374550Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6375230Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6375880Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6376590Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6377250Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6377970Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6378660Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6379300Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6380130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6380890Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:23.6381280Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6403830Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6404570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6405340Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6406110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6406890Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6407620Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6408320Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6408690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:23.6409410Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:23.6410120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:23.6410480Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:23.6411240Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:23.6412000Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:23.6412730Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:23.6413480Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:23.6413860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:23.6414630Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:23.6415380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:23.6416090Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:23.6416450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:23.6417130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:23.6417810Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:23.6418530Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:23.6418920Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6419670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6420510Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6421320Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6422110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6422900Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:23.6423310Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:23.6424020Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:23.6527900Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:23.6528300Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6550630Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6551420Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6552490Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6553310Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6554120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6554970Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6555770Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6556530Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6557340Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6558110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6558990Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6559780Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6560560Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6561330Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6562080Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6562880Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6563650Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6564480Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6565380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6566180Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6566930Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6567740Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:23.6568230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6569070Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6569890Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6650460Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6651350Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6652270Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6653280Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6654110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:23.6654460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T19:04:23.6655170Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T19:04:23.6655540Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:23.6656150Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:23.6656760Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:23.6657360Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:23.6658010Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:23.6658320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T19:04:23.6658930Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T19:04:23.6659260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T19:04:23.6659870Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T19:04:23.6660200Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T19:04:23.6660800Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T19:04:23.6661120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T19:04:23.6661750Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T19:04:23.6662070Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T19:04:23.6662670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T19:04:23.6662980Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T19:04:23.6663640Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T19:04:23.6664000Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T19:04:23.6664620Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T19:04:23.6664950Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T19:04:23.6665570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T19:04:23.6665930Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T19:04:23.6666540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T19:04:23.6666860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T19:04:23.6667480Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T19:04:23.6667810Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T19:04:23.6668430Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T19:04:23.6668760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T19:04:23.6669390Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T19:04:23.6669700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T19:04:23.6670310Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T19:04:23.6670490Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime 2025-06-05T19:04:23.6670810Z copying src/executorch/backends/cadence/runtime/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime 2025-06-05T19:04:23.6671130Z copying src/executorch/backends/cadence/runtime/runtime.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime 2025-06-05T19:04:23.6671450Z copying src/executorch/backends/cadence/runtime/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime 2025-06-05T19:04:23.6671800Z copying src/executorch/backends/cadence/runtime/executor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime 2025-06-05T19:04:23.6696690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils 2025-06-05T19:04:23.6697040Z copying src/executorch/backends/cadence/utils/gen_header.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils 2025-06-05T19:04:23.6697380Z copying src/executorch/backends/cadence/utils/post_compilation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils 2025-06-05T19:04:23.6697700Z copying src/executorch/backends/cadence/utils/facto_util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils 2025-06-05T19:04:23.6697870Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6698180Z copying src/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6698480Z copying src/executorch/backends/cadence/aot/remove_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6698860Z copying src/executorch/backends/cadence/aot/export_example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6699170Z copying src/executorch/backends/cadence/aot/compiler.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6699480Z copying src/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6699800Z copying src/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6700110Z copying src/executorch/backends/cadence/aot/replace_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6700430Z copying src/executorch/backends/cadence/aot/memory_planning.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6700730Z copying src/executorch/backends/cadence/aot/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6701030Z copying src/executorch/backends/cadence/aot/pass_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6701360Z copying src/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6701670Z copying src/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6701960Z copying src/executorch/backends/cadence/aot/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6702270Z copying src/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6702600Z copying src/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6702910Z copying src/executorch/backends/cadence/aot/graph_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6703220Z copying src/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6703520Z copying src/executorch/backends/cadence/aot/passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:23.6703700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO 2025-06-05T19:04:23.6704030Z copying src/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO 2025-06-05T19:04:23.6704350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:23.6704750Z copying src/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:23.6705150Z copying src/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:23.6705550Z copying src/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:23.6705760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T19:04:23.6706130Z copying src/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T19:04:23.6706370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:23.6706770Z copying src/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:23.6707160Z copying src/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:23.6707380Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6707820Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6708290Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6708730Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6709180Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6709610Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6710050Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6710500Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6710920Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6711350Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6711810Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6712320Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6712790Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6713230Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6713670Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6714120Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:23.6714340Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:23.6714760Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:23.6715170Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:23.6715580Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:23.6807960Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:23.6808210Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T19:04:23.6808670Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T19:04:23.6808960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:23.6809450Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:23.6809940Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:23.6810430Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:23.6810700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:23.6811210Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:23.6811700Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:23.6812200Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:23.6812780Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:23.6813080Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6813560Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6814200Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6814720Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6815210Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6815740Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6816230Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6816720Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:23.6816980Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:23.6817460Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:23.6817940Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:23.6818430Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:23.6818920Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:23.6819160Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:23.6819630Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:23.6820110Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:23.6820350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:23.6820840Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:23.6821300Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:23.6821480Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6821880Z copying src/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6822270Z copying src/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6822650Z copying src/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6823020Z copying src/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6823380Z copying src/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6823740Z copying src/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6824130Z copying src/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6824510Z copying src/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6824870Z copying src/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests 2025-06-05T19:04:23.6825060Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:23.6825420Z copying src/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:23.6825770Z copying src/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:23.6826150Z copying src/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:23.6826500Z copying src/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:23.6826670Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/test 2025-06-05T19:04:23.6827020Z copying src/executorch/backends/cortex_m/test/test_replace_quant_nodes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/test 2025-06-05T19:04:23.6827200Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/passes 2025-06-05T19:04:23.6827550Z copying src/executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/passes 2025-06-05T19:04:23.6902290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/ops 2025-06-05T19:04:23.6902620Z copying src/executorch/backends/cortex_m/ops/operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/ops 2025-06-05T19:04:23.6902780Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/test 2025-06-05T19:04:23.6903070Z copying src/executorch/runtime/test/test_runtime.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/test 2025-06-05T19:04:23.6903220Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6903530Z copying src/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6903880Z copying src/executorch/codegen/tools/gen_oplist.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6904190Z copying src/executorch/codegen/tools/yaml_util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6904460Z copying src/executorch/codegen/tools/gen_ops_def.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6904710Z copying src/executorch/codegen/tools/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6904980Z copying src/executorch/codegen/tools/gen_all_oplist.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6905250Z copying src/executorch/codegen/tools/merge_yaml.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools 2025-06-05T19:04:23.6905400Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6905690Z copying src/executorch/codegen/test/test_executorch_types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6906040Z copying src/executorch/codegen/test/test_executorch_signatures.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6906340Z copying src/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6906620Z copying src/executorch/codegen/test/test_executorch_gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6906900Z copying src/executorch/codegen/test/test_selective_build.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6907200Z copying src/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test 2025-06-05T19:04:23.6907350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api 2025-06-05T19:04:23.6907610Z copying src/executorch/codegen/api/custom_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api 2025-06-05T19:04:23.6907860Z copying src/executorch/codegen/api/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api 2025-06-05T19:04:23.6908110Z copying src/executorch/codegen/api/unboxing.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api 2025-06-05T19:04:23.6908350Z copying src/executorch/codegen/api/et_cpp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api 2025-06-05T19:04:23.6908520Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test 2025-06-05T19:04:23.6908850Z copying src/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test 2025-06-05T19:04:23.6909170Z copying src/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test 2025-06-05T19:04:23.6909470Z copying src/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test 2025-06-05T19:04:23.6909820Z copying src/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test 2025-06-05T19:04:23.6909980Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types 2025-06-05T19:04:23.6910250Z copying src/executorch/codegen/api/types/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types 2025-06-05T19:04:23.6910530Z copying src/executorch/codegen/api/types/types.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types 2025-06-05T19:04:23.6910830Z copying src/executorch/codegen/api/types/signatures.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types 2025-06-05T19:04:23.6910990Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/debug_format 2025-06-05T19:04:23.6911360Z copying src/executorch/devtools/debug_format/et_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/debug_format 2025-06-05T19:04:23.6911690Z copying src/executorch/devtools/debug_format/base_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/debug_format 2025-06-05T19:04:23.6911860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization 2025-06-05T19:04:23.6912210Z copying src/executorch/devtools/visualization/visualization_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization 2025-06-05T19:04:23.6912520Z copying src/executorch/devtools/visualization/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization 2025-06-05T19:04:23.6912870Z copying src/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization 2025-06-05T19:04:23.6913090Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6913430Z copying src/executorch/devtools/inspector/_inspector.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6913710Z copying src/executorch/devtools/inspector/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6914120Z copying src/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6914440Z copying src/executorch/devtools/inspector/_inspector_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6914740Z copying src/executorch/devtools/inspector/inspector_cli.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector 2025-06-05T19:04:23.6914930Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program 2025-06-05T19:04:23.6915260Z copying src/executorch/devtools/bundled_program/config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program 2025-06-05T19:04:23.6915580Z copying src/executorch/devtools/bundled_program/version.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program 2025-06-05T19:04:23.6915900Z copying src/executorch/devtools/bundled_program/core.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program 2025-06-05T19:04:23.6921880Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/size_analysis_tool 2025-06-05T19:04:23.6922270Z copying src/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/size_analysis_tool 2025-06-05T19:04:23.6922630Z copying src/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/size_analysis_tool 2025-06-05T19:04:23.6922810Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug 2025-06-05T19:04:23.6923130Z copying src/executorch/devtools/backend_debug/delegation_info.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug 2025-06-05T19:04:23.6923420Z copying src/executorch/devtools/backend_debug/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug 2025-06-05T19:04:23.6923580Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump 2025-06-05T19:04:23.6923870Z copying src/executorch/devtools/etdump/serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump 2025-06-05T19:04:23.6924160Z copying src/executorch/devtools/etdump/schema_flatcc.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump 2025-06-05T19:04:23.6924320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord 2025-06-05T19:04:23.6924660Z copying src/executorch/devtools/etrecord/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord 2025-06-05T19:04:23.6924980Z copying src/executorch/devtools/etrecord/_etrecord.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord 2025-06-05T19:04:23.6925160Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6925540Z copying src/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6925900Z copying src/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6926260Z copying src/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6926610Z copying src/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6995830Z copying src/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests 2025-06-05T19:04:23.6996090Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test 2025-06-05T19:04:23.6996460Z copying src/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test 2025-06-05T19:04:23.6996820Z copying src/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test 2025-06-05T19:04:23.6997160Z copying src/executorch/devtools/bundled_program/test/test_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test 2025-06-05T19:04:23.6997350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/util 2025-06-05T19:04:23.6997700Z copying src/executorch/devtools/bundled_program/util/test_util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/util 2025-06-05T19:04:23.6997910Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize 2025-06-05T19:04:23.6998270Z copying src/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize 2025-06-05T19:04:23.6998460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema 2025-06-05T19:04:23.6998800Z copying src/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema 2025-06-05T19:04:23.6999190Z copying src/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema 2025-06-05T19:04:23.6999420Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/test 2025-06-05T19:04:23.6999830Z copying src/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/test 2025-06-05T19:04:23.7000040Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/test 2025-06-05T19:04:23.7000430Z copying src/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/test 2025-06-05T19:04:23.7000610Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug/tests 2025-06-05T19:04:23.7000980Z copying src/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug/tests 2025-06-05T19:04:23.7001240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/tests 2025-06-05T19:04:23.7001570Z copying src/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/tests 2025-06-05T19:04:23.7001760Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord/tests 2025-06-05T19:04:23.7002100Z copying src/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord/tests 2025-06-05T19:04:23.7002280Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7002600Z copying src/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7002920Z copying src/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7003260Z copying src/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7003650Z copying src/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7004000Z copying src/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:23.7004150Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models 2025-06-05T19:04:23.7004440Z copying src/executorch/examples/models/checkpoint.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models 2025-06-05T19:04:23.7004710Z copying src/executorch/examples/models/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models 2025-06-05T19:04:23.7004980Z copying src/executorch/examples/models/model_base.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models 2025-06-05T19:04:23.7005270Z copying src/executorch/examples/models/model_factory.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models 2025-06-05T19:04:23.7005450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/mps/scripts 2025-06-05T19:04:23.7005780Z copying src/executorch/examples/apple/mps/scripts/mps_example.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/mps/scripts 2025-06-05T19:04:23.7006110Z copying src/executorch/examples/apple/mps/scripts/bench_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/mps/scripts 2025-06-05T19:04:23.7006300Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7006650Z copying src/executorch/examples/apple/coreml/scripts/export.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7007030Z copying src/executorch/examples/apple/coreml/scripts/inspector_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7007400Z copying src/executorch/examples/apple/coreml/scripts/inspector_cli.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7007760Z copying src/executorch/examples/apple/coreml/scripts/debugger_cli.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7008130Z copying src/executorch/examples/apple/coreml/scripts/extract_coreml_models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:23.7008310Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7008850Z copying src/executorch/examples/apple/coreml/llama/run.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7009220Z copying src/executorch/examples/apple/coreml/llama/test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7009560Z copying src/executorch/examples/apple/coreml/llama/export.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7009930Z copying src/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7010260Z copying src/executorch/examples/apple/coreml/llama/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama 2025-06-05T19:04:23.7010450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/torchvision_vit 2025-06-05T19:04:23.7010800Z copying src/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/torchvision_vit 2025-06-05T19:04:23.7011180Z copying src/executorch/examples/models/torchvision_vit/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/torchvision_vit 2025-06-05T19:04:23.7011350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen2_5 2025-06-05T19:04:23.7011650Z copying src/executorch/examples/models/qwen2_5/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen2_5 2025-06-05T19:04:23.7011990Z copying src/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen2_5 2025-06-05T19:04:23.7012160Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/toy_model 2025-06-05T19:04:23.7012480Z copying src/executorch/examples/models/toy_model/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/toy_model 2025-06-05T19:04:23.7012800Z copying src/executorch/examples/models/toy_model/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/toy_model 2025-06-05T19:04:23.7012960Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/test 2025-06-05T19:04:23.7013260Z copying src/executorch/examples/models/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/test 2025-06-05T19:04:23.7013570Z copying src/executorch/examples/models/test/test_export.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/test 2025-06-05T19:04:23.7013730Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/edsr 2025-06-05T19:04:23.7014020Z copying src/executorch/examples/models/edsr/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/edsr 2025-06-05T19:04:23.7074090Z copying src/executorch/examples/models/edsr/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/edsr 2025-06-05T19:04:23.7074290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7074640Z copying src/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7074960Z copying src/executorch/examples/models/phi-3-mini/eager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7075310Z copying src/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7075640Z copying src/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7075960Z copying src/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:23.7076240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/resnet 2025-06-05T19:04:23.7076550Z copying src/executorch/examples/models/resnet/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/resnet 2025-06-05T19:04:23.7076860Z copying src/executorch/examples/models/resnet/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/resnet 2025-06-05T19:04:23.7077050Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v4 2025-06-05T19:04:23.7077380Z copying src/executorch/examples/models/inception_v4/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v4 2025-06-05T19:04:23.7077710Z copying src/executorch/examples/models/inception_v4/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v4 2025-06-05T19:04:23.7077880Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen3 2025-06-05T19:04:23.7078180Z copying src/executorch/examples/models/qwen3/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen3 2025-06-05T19:04:23.7078540Z copying src/executorch/examples/models/qwen3/convert_weights.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen3 2025-06-05T19:04:23.7078730Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v3 2025-06-05T19:04:23.7079060Z copying src/executorch/examples/models/inception_v3/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v3 2025-06-05T19:04:23.7079390Z copying src/executorch/examples/models/inception_v3/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v3 2025-06-05T19:04:23.7079570Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/deeplab_v3 2025-06-05T19:04:23.7079890Z copying src/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/deeplab_v3 2025-06-05T19:04:23.7080210Z copying src/executorch/examples/models/deeplab_v3/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/deeplab_v3 2025-06-05T19:04:23.7080390Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilebert 2025-06-05T19:04:23.7080710Z copying src/executorch/examples/models/mobilebert/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilebert 2025-06-05T19:04:23.7081040Z copying src/executorch/examples/models/mobilebert/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilebert 2025-06-05T19:04:23.7081230Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini-lora 2025-06-05T19:04:23.7081600Z copying src/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini-lora 2025-06-05T19:04:23.7081800Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam 2025-06-05T19:04:23.7082130Z copying src/executorch/examples/models/efficient_sam/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam 2025-06-05T19:04:23.7082460Z copying src/executorch/examples/models/efficient_sam/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam 2025-06-05T19:04:23.7082650Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v2 2025-06-05T19:04:23.7082980Z copying src/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v2 2025-06-05T19:04:23.7083310Z copying src/executorch/examples/models/mobilenet_v2/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v2 2025-06-05T19:04:23.7083540Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/wav2letter 2025-06-05T19:04:23.7083890Z copying src/executorch/examples/models/wav2letter/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/wav2letter 2025-06-05T19:04:23.7084220Z copying src/executorch/examples/models/wav2letter/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/wav2letter 2025-06-05T19:04:23.7084410Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v3 2025-06-05T19:04:23.7084740Z copying src/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v3 2025-06-05T19:04:23.7085060Z copying src/executorch/examples/models/mobilenet_v3/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v3 2025-06-05T19:04:23.7085260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision 2025-06-05T19:04:23.7085640Z copying src/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision 2025-06-05T19:04:23.7085800Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava 2025-06-05T19:04:23.7086100Z copying src/executorch/examples/models/llava/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava 2025-06-05T19:04:23.7086400Z copying src/executorch/examples/models/llava/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava 2025-06-05T19:04:23.7086720Z copying src/executorch/examples/models/llava/export_llava.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava 2025-06-05T19:04:23.7086890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi_4_mini 2025-06-05T19:04:23.7087210Z copying src/executorch/examples/models/phi_4_mini/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi_4_mini 2025-06-05T19:04:23.7087550Z copying src/executorch/examples/models/phi_4_mini/convert_weights.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi_4_mini 2025-06-05T19:04:23.7087720Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7088040Z copying src/executorch/examples/models/llama/export_llama.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7088350Z copying src/executorch/examples/models/llama/attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7088650Z copying src/executorch/examples/models/llama/norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7088970Z copying src/executorch/examples/models/llama/export_llama_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7089280Z copying src/executorch/examples/models/llama/fairseq2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7089580Z copying src/executorch/examples/models/llama/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7089880Z copying src/executorch/examples/models/llama/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7090210Z copying src/executorch/examples/models/llama/llama_transformer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7090520Z copying src/executorch/examples/models/llama/hf_download.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7090860Z copying src/executorch/examples/models/llama/rope.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7091180Z copying src/executorch/examples/models/llama/eval_llama.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7091500Z copying src/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7091830Z copying src/executorch/examples/models/llama/static_attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7092180Z copying src/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7163280Z copying src/executorch/examples/models/llama/model_args.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama 2025-06-05T19:04:23.7163470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/smollm2 2025-06-05T19:04:23.7163790Z copying src/executorch/examples/models/smollm2/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/smollm2 2025-06-05T19:04:23.7164180Z copying src/executorch/examples/models/smollm2/convert_weights.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/smollm2 2025-06-05T19:04:23.7164350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/lstm 2025-06-05T19:04:23.7164640Z copying src/executorch/examples/models/lstm/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/lstm 2025-06-05T19:04:23.7164930Z copying src/executorch/examples/models/lstm/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/lstm 2025-06-05T19:04:23.7165120Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/emformer_rnnt 2025-06-05T19:04:23.7165450Z copying src/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/emformer_rnnt 2025-06-05T19:04:23.7165800Z copying src/executorch/examples/models/emformer_rnnt/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/emformer_rnnt 2025-06-05T19:04:23.7166040Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7166520Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7167010Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7167480Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7167960Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7168400Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7168870Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:23.7169050Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/moshi/mimi 2025-06-05T19:04:23.7169390Z copying src/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/moshi/mimi 2025-06-05T19:04:23.7169740Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T19:04:23.7170160Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T19:04:23.7170370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:23.7170760Z copying src/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:23.7171160Z copying src/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:23.7171550Z copying src/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:23.7171960Z copying src/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:23.7172190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:23.7172600Z copying src/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:23.7173050Z copying src/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:23.7173470Z copying src/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:23.7173930Z copying src/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:23.7174180Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:23.7174610Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:23.7175040Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:23.7175290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:23.7175760Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:23.7176200Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:23.7176450Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:23.7176900Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:23.7177370Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:23.7177590Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/test 2025-06-05T19:04:23.7177960Z copying src/executorch/examples/models/llava/test/test_pte.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/test 2025-06-05T19:04:23.7178300Z copying src/executorch/examples/models/llava/test/test_llava.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/test 2025-06-05T19:04:23.7178500Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental 2025-06-05T19:04:23.7178890Z copying src/executorch/examples/models/llama/experimental/subclass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental 2025-06-05T19:04:23.7179290Z copying src/executorch/examples/models/llama/experimental/generate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental 2025-06-05T19:04:23.7179700Z copying src/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental 2025-06-05T19:04:23.7180140Z copying src/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental 2025-06-05T19:04:23.7180370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7180800Z copying src/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7181260Z copying src/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7181720Z copying src/executorch/examples/models/llama/source_transformation/custom_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7182130Z copying src/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7262860Z copying src/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7263340Z copying src/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7263780Z copying src/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7264220Z copying src/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7264660Z copying src/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7265080Z copying src/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7265530Z copying src/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7265990Z copying src/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7266490Z copying src/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7266950Z copying src/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7267410Z copying src/executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7267890Z copying src/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7268310Z copying src/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7268750Z copying src/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:23.7269000Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tokenizer 2025-06-05T19:04:23.7269370Z copying src/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tokenizer 2025-06-05T19:04:23.7269560Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner 2025-06-05T19:04:23.7269910Z copying src/executorch/examples/models/llama/runner/generation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner 2025-06-05T19:04:23.7270250Z copying src/executorch/examples/models/llama/runner/eager.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner 2025-06-05T19:04:23.7270590Z copying src/executorch/examples/models/llama/runner/native.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner 2025-06-05T19:04:23.7270790Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7271170Z copying src/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7271530Z copying src/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7271900Z copying src/executorch/examples/models/llama/tests/test_ring_attention.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7272270Z copying src/executorch/examples/models/llama/tests/test_export_llama_lib.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7272620Z copying src/executorch/examples/models/llama/tests/test_ring_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7273030Z copying src/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7273390Z copying src/executorch/examples/models/llama/tests/test_replace_kv_cache.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests 2025-06-05T19:04:23.7273580Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/evaluate 2025-06-05T19:04:23.7273950Z copying src/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/evaluate 2025-06-05T19:04:23.7274350Z copying src/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/evaluate 2025-06-05T19:04:23.7274520Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture 2025-06-05T19:04:23.7274780Z copying src/executorch/exir/capture/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture 2025-06-05T19:04:23.7275030Z copying src/executorch/exir/capture/_unlift.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture 2025-06-05T19:04:23.7275280Z copying src/executorch/exir/capture/_capture.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture 2025-06-05T19:04:23.7275520Z copying src/executorch/exir/capture/_config.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture 2025-06-05T19:04:23.7275660Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7275930Z copying src/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7276210Z copying src/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7276530Z copying src/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7276800Z copying src/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7277070Z copying src/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7277380Z copying src/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7277670Z copying src/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7277970Z copying src/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7278260Z copying src/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7278530Z copying src/executorch/exir/passes/quantize_io_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7278820Z copying src/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7279080Z copying src/executorch/exir/passes/remove_noop_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7279360Z copying src/executorch/exir/passes/memory_planning_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7279670Z copying src/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7279920Z copying src/executorch/exir/passes/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7280250Z copying src/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7280520Z copying src/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7280820Z copying src/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7281110Z copying src/executorch/exir/passes/external_constants_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7281390Z copying src/executorch/exir/passes/init_mutable_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7360710Z copying src/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7361080Z copying src/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7361400Z copying src/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7361690Z copying src/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7361950Z copying src/executorch/exir/passes/spec_prop_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7362260Z copying src/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7362530Z copying src/executorch/exir/passes/pass_registry.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7362840Z copying src/executorch/exir/passes/constant_prop_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7363150Z copying src/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7363420Z copying src/executorch/exir/passes/quant_fusion_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7363740Z copying src/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7364020Z copying src/executorch/exir/passes/const_prop_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7364330Z copying src/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes 2025-06-05T19:04:23.7364480Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7364740Z copying src/executorch/exir/tests/test_op_convert.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7365000Z copying src/executorch/exir/tests/test_tensor.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7365270Z copying src/executorch/exir/tests/test_print_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7365520Z copying src/executorch/exir/tests/test_common.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7365780Z copying src/executorch/exir/tests/test_warnings.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7366020Z copying src/executorch/exir/tests/models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7366270Z copying src/executorch/exir/tests/asr_joiner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7366520Z copying src/executorch/exir/tests/test_delegate.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7366820Z copying src/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7367100Z copying src/executorch/exir/tests/test_dim_order_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7367370Z copying src/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7367670Z copying src/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7367960Z copying src/executorch/exir/tests/test_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7368250Z copying src/executorch/exir/tests/test_tracer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7368560Z copying src/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7368830Z copying src/executorch/exir/tests/test_arg_validator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7369100Z copying src/executorch/exir/tests/control_flow_models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7369370Z copying src/executorch/exir/tests/test_quantization.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7369610Z copying src/executorch/exir/tests/common.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7369870Z copying src/executorch/exir/tests/transformer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7370130Z copying src/executorch/exir/tests/test_error.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7370380Z copying src/executorch/exir/tests/test_capture.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7370660Z copying src/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7370920Z copying src/executorch/exir/tests/test_memory_planning.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7371190Z copying src/executorch/exir/tests/test_remove_view_copy.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7371430Z copying src/executorch/exir/tests/test_serde.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7371730Z copying src/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7372030Z copying src/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7372300Z copying src/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7372560Z copying src/executorch/exir/tests/test_pass_infra.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7372830Z copying src/executorch/exir/tests/dynamic_shape_models.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7373080Z copying src/executorch/exir/tests/test_joint_graph.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7373350Z copying src/executorch/exir/tests/test_verification.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests 2025-06-05T19:04:23.7373500Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7373770Z copying src/executorch/exir/backend/partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7374040Z copying src/executorch/exir/backend/backend_details.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7374320Z copying src/executorch/exir/backend/operator_support.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7374570Z copying src/executorch/exir/backend/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7374830Z copying src/executorch/exir/backend/backend_api.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7375160Z copying src/executorch/exir/backend/compile_spec_schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend 2025-06-05T19:04:23.7375350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification 2025-06-05T19:04:23.7375650Z copying src/executorch/exir/verification/arg_validator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification 2025-06-05T19:04:23.7375920Z copying src/executorch/exir/verification/dev_html.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification 2025-06-05T19:04:23.7376210Z copying src/executorch/exir/verification/interpreter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification 2025-06-05T19:04:23.7376500Z copying src/executorch/exir/verification/verifier.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification 2025-06-05T19:04:23.7376650Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7376910Z copying src/executorch/exir/_serialize/_dataclass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7377210Z copying src/executorch/exir/_serialize/_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7377480Z copying src/executorch/exir/_serialize/_flatbuffer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7377740Z copying src/executorch/exir/_serialize/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7378000Z copying src/executorch/exir/_serialize/_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7378250Z copying src/executorch/exir/_serialize/_cord.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:23.7378530Z copying src/executorch/exir/_serialize/data_serializer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:24.3197520Z copying src/executorch/exir/_serialize/padding.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:24.3198190Z copying src/executorch/exir/_serialize/_named_data_store.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:24.3198690Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects 2025-06-05T19:04:24.3199160Z copying src/executorch/exir/dialects/_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects 2025-06-05T19:04:24.3199720Z copying src/executorch/exir/dialects/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects 2025-06-05T19:04:24.3200190Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program 2025-06-05T19:04:24.3200660Z copying src/executorch/exir/program/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program 2025-06-05T19:04:24.3201230Z copying src/executorch/exir/program/_fake_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program 2025-06-05T19:04:24.3201820Z copying src/executorch/exir/program/_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program 2025-06-05T19:04:24.3202270Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit 2025-06-05T19:04:24.3202720Z copying src/executorch/exir/emit/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit 2025-06-05T19:04:24.3203260Z copying src/executorch/exir/emit/_emit_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit 2025-06-05T19:04:24.3203800Z copying src/executorch/exir/emit/_emitter.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit 2025-06-05T19:04:24.3204240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3204710Z copying src/executorch/exir/serde/serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3205360Z copying src/executorch/exir/serde/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3205990Z copying src/executorch/exir/serde/export_serialize.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3206570Z copying src/executorch/exir/serde/schema_check.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3207120Z copying src/executorch/exir/serde/union.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3207640Z copying src/executorch/exir/serde/schema.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde 2025-06-05T19:04:24.3208090Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator 2025-06-05T19:04:24.3208560Z copying src/executorch/exir/operator/util.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator 2025-06-05T19:04:24.3209120Z copying src/executorch/exir/operator/convert.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator 2025-06-05T19:04:24.3209760Z copying src/executorch/exir/operator/manip.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator 2025-06-05T19:04:24.3210240Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3210780Z copying src/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3211460Z copying src/executorch/exir/backend/test/test_utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3212110Z copying src/executorch/exir/backend/test/test_compatibility.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3212790Z copying src/executorch/exir/backend/test/test_backends_nested.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3213500Z copying src/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3214240Z copying src/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3214940Z copying src/executorch/exir/backend/test/test_passes.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3215590Z copying src/executorch/exir/backend/test/test_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3216300Z copying src/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3217000Z copying src/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3217730Z copying src/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3218460Z copying src/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3219160Z copying src/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3219840Z copying src/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3220510Z copying src/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3221320Z copying src/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3222080Z copying src/executorch/exir/backend/test/test_backends.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3222770Z copying src/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3223480Z copying src/executorch/exir/backend/test/test_graph_partition.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3224190Z copying src/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test 2025-06-05T19:04:24.3224790Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3225490Z copying src/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3226430Z copying src/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3227370Z copying src/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3228280Z copying src/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3229170Z copying src/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.3229830Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos 2025-06-05T19:04:24.3230430Z copying src/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos 2025-06-05T19:04:24.3231190Z copying src/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos 2025-06-05T19:04:24.3231800Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.3232440Z copying src/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.3233300Z copying src/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.3234100Z copying src/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.3234660Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/test 2025-06-05T19:04:24.3235220Z copying src/executorch/exir/verification/test/test_verifier.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/test 2025-06-05T19:04:24.3235790Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3236310Z copying src/executorch/exir/_serialize/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3236940Z copying src/executorch/exir/_serialize/test/test_cord.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3237610Z copying src/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3274470Z copying src/executorch/exir/_serialize/test/test_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3275220Z copying src/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test 2025-06-05T19:04:24.3277290Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/test 2025-06-05T19:04:24.3277900Z copying src/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/test 2025-06-05T19:04:24.3278470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend 2025-06-05T19:04:24.3279020Z copying src/executorch/exir/dialects/backend/_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend 2025-06-05T19:04:24.3279560Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge 2025-06-05T19:04:24.3280080Z copying src/executorch/exir/dialects/edge/_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge 2025-06-05T19:04:24.3280610Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend/test 2025-06-05T19:04:24.3281290Z copying src/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend/test 2025-06-05T19:04:24.3281890Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype 2025-06-05T19:04:24.3282450Z copying src/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype 2025-06-05T19:04:24.3283180Z copying src/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype 2025-06-05T19:04:24.3283910Z copying src/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype 2025-06-05T19:04:24.3284470Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/test 2025-06-05T19:04:24.3285060Z copying src/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/test 2025-06-05T19:04:24.3285780Z copying src/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/test 2025-06-05T19:04:24.3286340Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op 2025-06-05T19:04:24.3286870Z copying src/executorch/exir/dialects/edge/op/api.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op 2025-06-05T19:04:24.3287540Z copying src/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op 2025-06-05T19:04:24.3288090Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/arg 2025-06-05T19:04:24.3288650Z copying src/executorch/exir/dialects/edge/arg/type.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/arg 2025-06-05T19:04:24.3289330Z copying src/executorch/exir/dialects/edge/arg/model.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/arg 2025-06-05T19:04:24.3289870Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/spec 2025-06-05T19:04:24.3290420Z copying src/executorch/exir/dialects/edge/spec/gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/spec 2025-06-05T19:04:24.3291110Z copying src/executorch/exir/dialects/edge/spec/utils.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/spec 2025-06-05T19:04:24.3291670Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op/test 2025-06-05T19:04:24.3292250Z copying src/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op/test 2025-06-05T19:04:24.3292860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test 2025-06-05T19:04:24.3293440Z copying src/executorch/exir/program/test/test_fake_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test 2025-06-05T19:04:24.3294170Z copying src/executorch/exir/program/test/__init__.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test 2025-06-05T19:04:24.3294820Z copying src/executorch/exir/program/test/test_program.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test 2025-06-05T19:04:24.3295370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/test 2025-06-05T19:04:24.3295880Z copying src/executorch/exir/emit/test/test_emit.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/test 2025-06-05T19:04:24.3296410Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/test 2025-06-05T19:04:24.3296960Z copying src/executorch/exir/operator/test/test_operator.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/test 2025-06-05T19:04:24.3303510Z running egg_info 2025-06-05T19:04:24.3303650Z creating executorch.egg-info 2025-06-05T19:04:24.3303830Z writing executorch.egg-info/PKG-INFO 2025-06-05T19:04:24.3304100Z writing dependency_links to executorch.egg-info/dependency_links.txt 2025-06-05T19:04:24.3304430Z writing entry points to executorch.egg-info/entry_points.txt 2025-06-05T19:04:24.3304710Z writing requirements to executorch.egg-info/requires.txt 2025-06-05T19:04:24.3305000Z writing top-level names to executorch.egg-info/top_level.txt 2025-06-05T19:04:24.3305280Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T19:04:24.3305540Z reading manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T19:04:24.3305760Z adding license file 'LICENSE' 2025-06-05T19:04:24.3305970Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T19:04:24.3306260Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/schema 2025-06-05T19:04:24.3306690Z copying src/executorch/schema/program.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/schema 2025-06-05T19:04:24.3307220Z copying src/executorch/schema/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/schema 2025-06-05T19:04:24.3307730Z copying src/executorch/exir/delegate.pyi -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir 2025-06-05T19:04:24.3308310Z copying src/executorch/kernels/quantized/quantized.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized 2025-06-05T19:04:24.3309040Z copying src/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test 2025-06-05T19:04:24.3309770Z copying src/executorch/extension/pybindings/pybindings.pyi -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings 2025-06-05T19:04:24.3310670Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T19:04:24.3311830Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T19:04:24.3312840Z copying src/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings 2025-06-05T19:04:24.3313650Z copying src/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.3314430Z copying src/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.3315260Z copying src/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml 2025-06-05T19:04:24.3316080Z copying src/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization 2025-06-05T19:04:24.3316920Z copying src/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization 2025-06-05T19:04:24.3317530Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/aot/ir 2025-06-05T19:04:24.3318090Z copying src/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/aot/ir 2025-06-05T19:04:24.3318830Z copying src/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization 2025-06-05T19:04:24.3319460Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3320150Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3321130Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3322040Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3322910Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3355360Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3356280Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.3356920Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.3357490Z copying src/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.3358280Z copying src/executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.3359080Z copying src/executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.3359740Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3360470Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3361420Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3362360Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3363270Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3364340Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3365280Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3366180Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3367130Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3368100Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3369020Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3369930Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3370810Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3371660Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3372550Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3373470Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3374410Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3375380Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3376340Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3377280Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3378190Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3379130Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3380100Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3381080Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3382010Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3382980Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3383940Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3384820Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3385690Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3386560Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3387470Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3388420Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3389350Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3390300Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3391210Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3392140Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3393090Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3394010Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3394960Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3395890Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3396820Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3432490Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3433490Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3435190Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3436190Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3437220Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3438220Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3439140Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3440050Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3440950Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3441870Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3442780Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3443710Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3444650Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3445600Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3446550Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3447430Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3448320Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3449250Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3450180Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3451080Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3452000Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3452900Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3453790Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3454740Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.3455630Z copying src/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.3456450Z copying src/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.3457280Z copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party 2025-06-05T19:04:24.3458180Z copying src/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:24.3459030Z copying src/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:24.3459910Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:24.3460730Z copying src/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:24.3461660Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3462690Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3463710Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3464740Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3465790Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3466830Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3467850Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3468860Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3469870Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3470890Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3471870Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3472960Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3474040Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3475070Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3476120Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3510110Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3511170Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3512230Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3513210Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3514230Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3515270Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3516320Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3517340Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3518330Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.3519070Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3519790Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3520750Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3521710Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3522670Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3523660Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3524670Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3525630Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3526570Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3527510Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3528450Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3529390Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3530390Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3531350Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3532230Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3533140Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3534040Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3534970Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3535920Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3536880Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3537820Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3538760Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3539710Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3540660Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3541610Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3542570Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3543520Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3544430Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3545390Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3546330Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3547260Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3548240Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3549170Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3550100Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3551060Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3552050Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3571160Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3572140Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3573120Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3574110Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3575120Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3576110Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3577040Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3577940Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3578940Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3579910Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3580870Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3581860Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3582880Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3583850Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3584890Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3585910Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3586910Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3587930Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3588960Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3590000Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3590990Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3591990Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3592980Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3593980Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3595010Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3596050Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3597050Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3598070Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3599080Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3600060Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3601040Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3602010Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3602960Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3603890Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3604810Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3605740Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3606670Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3607590Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3608490Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.3609480Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.3610480Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.3611480Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.3612510Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.3613530Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.3623230Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:24.3623940Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.3624600Z copying src/executorch/backends/arm/tosa/schemas/tosa_0.80.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.3625360Z copying src/executorch/backends/arm/tosa/schemas/tosa_1.0.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.3626010Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T19:04:24.3626780Z copying src/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T19:04:24.3627870Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:24.3629090Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:24.3630090Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.3631050Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.3632290Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.3633540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3634820Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3636080Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3637360Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3638620Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3639880Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3641130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3642410Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3643740Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3645030Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3646270Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3647550Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3648830Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3650160Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3651440Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3652770Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3654060Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3655330Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3656560Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3657810Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3659120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3660410Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3661690Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.3662990Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:24.3664300Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.3665330Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T19:04:24.3676110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T19:04:24.3677130Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T19:04:24.3678180Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T19:04:24.3679510Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T19:04:24.3680560Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T19:04:24.3681650Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T19:04:24.3682710Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.3683710Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.3685020Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.3686320Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.3687350Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.3688440Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.3689870Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.3691340Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.3692770Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.3693850Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T19:04:24.3694940Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T19:04:24.3696010Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.3697130Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.3698530Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.3699590Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T19:04:24.3700620Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T19:04:24.3701660Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.3702820Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.3704340Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.3705860Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.3707340Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T19:04:24.3708770Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T19:04:24.3715320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T19:04:24.3716430Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T19:04:24.3717810Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.3719110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.3720390Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.3721440Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.3722520Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.4602420Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.4603910Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.4605400Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.4606500Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4607560Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4608950Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4610360Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4611770Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4613280Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4614730Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4616160Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4617600Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4619100Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4620540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4621970Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4623400Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.4624810Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:24.4625860Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T19:04:24.4626940Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T19:04:24.4628030Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.4629150Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.4630540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.4631590Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.4632670Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.4634040Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.4635380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.4636440Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.4637500Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.4638910Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.4639990Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.4641100Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.4642530Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.4643680Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.4644910Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.4679990Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.4681280Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T19:04:24.4682570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T19:04:24.4683800Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T19:04:24.4685160Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T19:04:24.4686390Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.4687570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.4689110Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.4690650Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.4691820Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.4692910Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.4694370Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.4695520Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T19:04:24.4696720Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T19:04:24.4697880Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.4698930Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.4700260Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.4701320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T19:04:24.4702450Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T19:04:24.4703630Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T19:04:24.4704780Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T19:04:24.4705880Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T19:04:24.4706920Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T19:04:24.4707940Z copying src/executorch/backends/cadence/aot/functions.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:24.4708640Z copying src/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:24.4709390Z copying src/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot 2025-06-05T19:04:24.4710080Z copying src/executorch/backends/cortex_m/ops/operators.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/ops 2025-06-05T19:04:24.4710630Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/kernel/test 2025-06-05T19:04:24.4711170Z copying src/executorch/runtime/kernel/test/functions.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/kernel/test 2025-06-05T19:04:24.4711870Z copying src/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump 2025-06-05T19:04:24.4712550Z copying src/executorch/devtools/etdump/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump 2025-06-05T19:04:24.4713310Z copying src/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.4714140Z copying src/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.4714920Z copying src/executorch/examples/llm_pte_finetuning/llama3_config.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.4715700Z copying src/executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.4716480Z copying src/executorch/examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.4717210Z copying src/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.4717990Z copying src/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.4718680Z copying src/executorch/exir/dialects/edge/edge.yaml -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge 2025-06-05T19:04:24.4719250Z copying schema/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:24.4719750Z copying schema/program.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize 2025-06-05T19:04:24.4720380Z copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.4721190Z copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.5430150Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/share/cmake 2025-06-05T19:04:24.5430750Z copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/share/cmake/executorch-config.cmake 2025-06-05T19:04:24.5431340Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5431850Z copying runtime/core/error.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5432430Z copying runtime/core/function_ref.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5433020Z copying runtime/core/event_tracer.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5433600Z copying runtime/core/tag.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5434250Z copying runtime/core/named_data_map.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5434870Z copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5435500Z copying runtime/core/memory_allocator.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5436130Z copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5436750Z copying runtime/core/result.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5437330Z copying runtime/core/freeable_buffer.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5437920Z copying runtime/core/defines.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5438510Z copying runtime/core/tensor_layout.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5439090Z copying runtime/core/data_loader.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5439660Z copying runtime/core/span.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5440220Z copying runtime/core/evalue.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5440810Z copying runtime/core/event_tracer_hooks.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5441450Z copying runtime/core/hierarchical_allocator.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5442070Z copying runtime/core/array_ref.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5442630Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5443260Z copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5444010Z copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5444750Z copying runtime/core/portable_type/half.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5445540Z copying runtime/core/portable_type/device.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5446330Z copying runtime/core/portable_type/optional.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5447070Z copying runtime/core/portable_type/scalar.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5447800Z copying runtime/core/portable_type/bits_types.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5448530Z copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5449270Z copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5450020Z copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5450790Z copying runtime/core/portable_type/qint_types.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5451500Z copying runtime/core/portable_type/tensor.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5452230Z copying runtime/core/portable_type/complex.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5452960Z copying runtime/core/portable_type/string_view.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5453630Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5454030Z copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5454460Z copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5454860Z copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5455270Z copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5455670Z copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5456110Z copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5456530Z copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5456930Z copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5457330Z copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5457740Z copying runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5458210Z copying runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5458660Z copying runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5458940Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.5459350Z copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.5459770Z copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.5459990Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T19:04:24.5460330Z copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T19:04:24.5460570Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5460940Z copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5461280Z copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5488770Z copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5489310Z copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5489690Z copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.5489950Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.5490350Z copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.5490730Z copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.5490940Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.5491230Z copying runtime/kernel/kernel_includes.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.5491550Z copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.5491850Z copying runtime/kernel/operator_registry.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.5492160Z copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.5492370Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/test 2025-06-05T19:04:24.5492660Z copying runtime/kernel/test/test_util.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/test 2025-06-05T19:04:24.5492950Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5493270Z copying runtime/platform/compiler.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5493550Z copying runtime/platform/types.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5493820Z copying runtime/platform/runtime.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5494090Z copying runtime/platform/log.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5494360Z copying runtime/platform/system.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5494650Z copying runtime/platform/compat_unistd.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5494940Z copying runtime/platform/profiler.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5495240Z copying runtime/platform/assert.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5495520Z copying runtime/platform/platform.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5495790Z copying runtime/platform/clock.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5496060Z copying runtime/platform/abort.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.5496280Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.5496600Z copying runtime/platform/test/stub_platform.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.5496910Z copying runtime/platform/test/pal_spy.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.5497130Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5497490Z copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5497820Z copying extension/kernel_util/meta_programming.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5498120Z copying extension/kernel_util/type_list.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5498320Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5498620Z copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5498920Z copying extension/tensor/tensor_accessor.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5499190Z copying extension/tensor/tensor.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5499480Z copying extension/tensor/tensor_ptr.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5499700Z creating pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5500020Z copying extension/threadpool/threadpool_guard.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5500380Z copying extension/threadpool/threadpool.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5500730Z copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5500780Z running build_ext 2025-06-05T19:04:24.5501110Z creating /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/data/bin 2025-06-05T19:04:24.5501920Z copying /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/third-party/flatbuffers_external_project/bin/flatc -> /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/data/bin 2025-06-05T19:04:24.5502360Z copying tools/wheel/pip_data_bin_init.py.in -> /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/data/bin/__init__.py 2025-06-05T19:04:24.5502940Z copying /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/_portable_lib.cpython-311-darwin.so -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings 2025-06-05T19:04:24.5503660Z copying /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/backends/apple/coreml/executorchcoreml.cpython-311-darwin.so -> pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml 2025-06-05T19:04:24.5504510Z copying /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.dylib -> /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5505320Z copying /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/temp.macosx-11.1-arm64-cpython-311/cmake-out/kernels/quantized/libquantized_ops_aot_lib.dylib -> /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized 2025-06-05T19:04:24.5505420Z installing to pip-out/bdist.macosx-11.1-arm64/wheel 2025-06-05T19:04:24.5505470Z running install 2025-06-05T19:04:24.5505520Z running install_lib 2025-06-05T19:04:24.5505600Z creating pip-out/bdist.macosx-11.1-arm64/wheel 2025-06-05T19:04:24.5505710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch 2025-06-05T19:04:24.5505830Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/kernels 2025-06-05T19:04:24.5505980Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/kernels/quantized 2025-06-05T19:04:24.5506150Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/kernels/quantized/test 2025-06-05T19:04:24.5506600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized/test 2025-06-05T19:04:24.5507030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test/test_out_variants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized/test 2025-06-05T19:04:24.5507470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized/test 2025-06-05T19:04:24.5541840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized 2025-06-05T19:04:24.5542240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized 2025-06-05T19:04:24.5542740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/kernels/quantized/libquantized_ops_aot_lib.dylib -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/kernels/quantized 2025-06-05T19:04:24.5543040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch 2025-06-05T19:04:24.5543170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension 2025-06-05T19:04:24.5543320Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pytree 2025-06-05T19:04:24.5543480Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pytree/test 2025-06-05T19:04:24.5543880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree/test/test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pytree/test 2025-06-05T19:04:24.5544240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pytree/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pytree 2025-06-05T19:04:24.5544380Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm 2025-06-05T19:04:24.5544590Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers 2025-06-05T19:04:24.5544770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/test 2025-06-05T19:04:24.5545220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/test/test_tiktoken.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/test 2025-06-05T19:04:24.5545450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5545980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5546220Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T19:04:24.5546490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5547090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5547670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5548210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T19:04:24.5549440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5550540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5551630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5552720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T19:04:24.5553770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers 2025-06-05T19:04:24.5554490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party 2025-06-05T19:04:24.5555000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:24.5555870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:24.5556730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T19:04:24.5557640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T19:04:24.5558600Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:24.5559560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:24.5560830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T19:04:24.5562020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T19:04:24.5562870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece 2025-06-05T19:04:24.5563470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T19:04:24.5564080Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:24.5565040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:24.5566400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T19:04:24.5567720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T19:04:24.5568660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src 2025-06-05T19:04:24.5569430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:24.5570630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:24.5572250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:24.5573800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:24.5575320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T19:04:24.5576300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json 2025-06-05T19:04:24.5602080Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools 2025-06-05T19:04:24.5602730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T19:04:24.5603730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T19:04:24.5604720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T19:04:24.5605670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T19:04:24.5606620Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T19:04:24.5607570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T19:04:24.5608540Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T19:04:24.5609540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T19:04:24.5610500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests 2025-06-05T19:04:24.5611070Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty 2025-06-05T19:04:24.5611700Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T19:04:24.5612700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T19:04:24.5613650Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs 2025-06-05T19:04:24.5614200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs 2025-06-05T19:04:24.5614790Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T19:04:24.5615820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T19:04:24.5616780Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/re2 2025-06-05T19:04:24.5617290Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:24.5618120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:24.5619240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:24.5620370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T19:04:24.5621280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T19:04:24.5622210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T19:04:24.5623120Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T19:04:24.5623980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T19:04:24.5624830Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:24.5625660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:24.5626810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:24.5627940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T19:04:24.5628780Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/pcre2 2025-06-05T19:04:24.5629300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5630170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5631370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5632540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5633750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5634940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5636130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5637320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5638480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T19:04:24.5639290Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/build 2025-06-05T19:04:24.5639730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/build/lib 2025-06-05T19:04:24.5640240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5641110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5642000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T19:04:24.5642610Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5643590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5862170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T19:04:24.5863510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T19:04:24.5864780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5866020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5867230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5868450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T19:04:24.5869530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5870220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5870920Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops/spinquant 2025-06-05T19:04:24.5877490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops/spinquant 2025-06-05T19:04:24.5878350Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party 2025-06-05T19:04:24.5878890Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:24.5879760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:24.5880990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T19:04:24.5882060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5883000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5883920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5884840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5885750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5886680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5887590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5888500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/test_quantized_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5889460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.dylib -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T19:04:24.5890130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/export 2025-06-05T19:04:24.5890540Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/export/test 2025-06-05T19:04:24.5891200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export/test 2025-06-05T19:04:24.5892170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test/test_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export/test 2025-06-05T19:04:24.5893080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5893920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5894790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/export_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5895690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/partitioner_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5896580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/quantizer_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5897480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/export/test_export_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/export 2025-06-05T19:04:24.5898160Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/modules 2025-06-05T19:04:24.5898790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules 2025-06-05T19:04:24.5899680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules 2025-06-05T19:04:24.5900350Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/modules/test 2025-06-05T19:04:24.5901070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules/test 2025-06-05T19:04:24.5902020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules/test 2025-06-05T19:04:24.5902940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test/test_attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules/test 2025-06-05T19:04:24.5903880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules/test 2025-06-05T19:04:24.5904760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules 2025-06-05T19:04:24.5905600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/llm/modules/kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/llm/modules 2025-06-05T19:04:24.5906220Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training 2025-06-05T19:04:24.5906830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training 2025-06-05T19:04:24.5907450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training/pybindings 2025-06-05T19:04:24.5908160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/pybindings 2025-06-05T19:04:24.5908920Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training/pybindings/test 2025-06-05T19:04:24.5909730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings/test/test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/pybindings/test 2025-06-05T19:04:24.5910760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/pybindings/_training_module.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/pybindings 2025-06-05T19:04:24.5911460Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training/examples 2025-06-05T19:04:24.5911890Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training/examples/XOR 2025-06-05T19:04:24.5912630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR/export_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/examples/XOR 2025-06-05T19:04:24.5913360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/training/examples/XOR/test 2025-06-05T19:04:24.5914130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/examples/XOR/test 2025-06-05T19:04:24.5915200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/training/examples/XOR/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/training/examples/XOR 2025-06-05T19:04:24.5915870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/module 2025-06-05T19:04:24.5916250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/module/test 2025-06-05T19:04:24.5916670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/module/test/resources 2025-06-05T19:04:24.5917410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/module/test/resources/gen_bundled_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/module/test/resources 2025-06-05T19:04:24.5918110Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/gguf_util 2025-06-05T19:04:24.5918720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/gguf_util 2025-06-05T19:04:24.5919560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/gguf_util 2025-06-05T19:04:24.5920200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/gguf_util/converters 2025-06-05T19:04:24.5920910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/gguf_util/converters 2025-06-05T19:04:24.5921820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/gguf_util/converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/gguf_util 2025-06-05T19:04:24.5922430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pybindings 2025-06-05T19:04:24.5922830Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pybindings/test 2025-06-05T19:04:24.5923520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings/test 2025-06-05T19:04:24.5924480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings/test 2025-06-05T19:04:24.5925440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings/test 2025-06-05T19:04:24.5926360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings 2025-06-05T19:04:24.5927300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings 2025-06-05T19:04:24.5928260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/pybindings/_portable_lib.cpython-311-darwin.so -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/pybindings 2025-06-05T19:04:24.5928940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/flat_tensor 2025-06-05T19:04:24.5929340Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/flat_tensor/test 2025-06-05T19:04:24.5930020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/test 2025-06-05T19:04:24.5930890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor 2025-06-05T19:04:24.5931530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5932270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5933250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5934200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5935170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5936140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T19:04:24.5936810Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/export_util 2025-06-05T19:04:24.5937430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/export_util/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/export_util 2025-06-05T19:04:24.5938270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/extension/export_util/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/extension/export_util 2025-06-05T19:04:24.5938830Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/util 2025-06-05T19:04:24.5939340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util/python_profiler.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/util 2025-06-05T19:04:24.5940040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util/collect_env.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/util 2025-06-05T19:04:24.5940770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/util/activation_memory_profiler.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/util 2025-06-05T19:04:24.5941310Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include 2025-06-05T19:04:24.5941660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch 2025-06-05T19:04:24.5942050Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/extension 2025-06-05T19:04:24.5942500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5943310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5944640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5945740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T19:04:24.5946530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5947360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5948500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5949610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T19:04:24.5950370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5975050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5976180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5977240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5978290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T19:04:24.5979040Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime 2025-06-05T19:04:24.5979490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5980220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/error.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5981230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/function_ref.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5982250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/event_tracer.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5983230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/tag.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.5983970Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5984810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/tensor_impl.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5986070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5987260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/half.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5988380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/device.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5989520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/optional.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5990660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/scalar.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5991830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/bits_types.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5992970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/bfloat16.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5994110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/tensor_options.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.5995010Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/portable_type/c10 2025-06-05T19:04:24.5995600Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10 2025-06-05T19:04:24.5996210Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5997160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5998460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.5999770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6001070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6002360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6003670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6005030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6104380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6105780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6107080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6108360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6109700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T19:04:24.6110660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.6111600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.6112880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T19:04:24.6114080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/scalar_type.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.6115220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/qint_types.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.6116340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/tensor.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.6117450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/complex.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.6118580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/portable_type/string_view.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T19:04:24.6119640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/named_data_map.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6120650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/tensor_shape_dynamism.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6121730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/memory_allocator.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6122790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6123780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/result.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6124510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T19:04:24.6125300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/exec_aten.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten 2025-06-05T19:04:24.6126100Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6126970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6128160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6129290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6130450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6131620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T19:04:24.6132490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.6133410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.6134620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T19:04:24.6135730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/freeable_buffer.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6136730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/defines.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6137700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/tensor_layout.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6138680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/data_loader.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6139690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/span.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6140660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/evalue.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6141650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/event_tracer_hooks.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6142670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/hierarchical_allocator.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6143670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/core/array_ref.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T19:04:24.6144380Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6145160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6145910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.6146710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.6147780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/test/pal_spy.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform/test 2025-06-05T19:04:24.6148800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6149810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6150800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6151790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6152810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6153840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6154850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6155860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6156860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6157900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T19:04:24.6158660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.6159130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/include/executorch/runtime/kernel/test 2025-06-05T19:04:24.6159900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/kernel/test 2025-06-05T19:04:24.6160920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.6161970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.6163020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.6164110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T19:04:24.6164800Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends 2025-06-05T19:04:24.6165150Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple 2025-06-05T19:04:24.6165520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps 2025-06-05T19:04:24.6165900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps/test 2025-06-05T19:04:24.6166550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6167440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6168360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6169270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6170210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6171120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6172040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/test 2025-06-05T19:04:24.6172710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6173400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6174380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6175410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6176410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6177360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6178300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6179240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6180180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6181150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6182090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6183030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6183970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6184940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6185910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6186860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6187810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6188770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6189730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6190680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6191640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T19:04:24.6192370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps/serialization 2025-06-05T19:04:24.6193180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T19:04:24.6194240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T19:04:24.6195240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T19:04:24.6196170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps 2025-06-05T19:04:24.6197000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps 2025-06-05T19:04:24.6197600Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps/utils 2025-06-05T19:04:24.6198290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/utils 2025-06-05T19:04:24.6199210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/utils 2025-06-05T19:04:24.6199860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/mps/partition 2025-06-05T19:04:24.6200570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/partition 2025-06-05T19:04:24.6201530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/mps/partition 2025-06-05T19:04:24.6202180Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml 2025-06-05T19:04:24.6202850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml 2025-06-05T19:04:24.6203520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/test 2025-06-05T19:04:24.6204240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/test 2025-06-05T19:04:24.6205210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/test 2025-06-05T19:04:24.6205920Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/runtime 2025-06-05T19:04:24.6206360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/runtime/test 2025-06-05T19:04:24.6207150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/runtime/test 2025-06-05T19:04:24.6208200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/executorchcoreml.cpython-311-darwin.so -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml 2025-06-05T19:04:24.6208930Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/partition 2025-06-05T19:04:24.6209640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/partition 2025-06-05T19:04:24.6210700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/partition 2025-06-05T19:04:24.6211470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:24.6212170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:24.6213130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/quantizer 2025-06-05T19:04:24.6213860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/compiler 2025-06-05T19:04:24.6214610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/compiler 2025-06-05T19:04:24.6215610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/apple/coreml/compiler 2025-06-05T19:04:24.6216310Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp 2025-06-05T19:04:24.6216900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp 2025-06-05T19:04:24.6217730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp 2025-06-05T19:04:24.6218330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/tests 2025-06-05T19:04:24.6219030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6220020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6220920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6221780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6222650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6223290Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/tests/ir 2025-06-05T19:04:24.6223700Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/tests/ir/converter 2025-06-05T19:04:24.6224190Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6225060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6226280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6227480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6228790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6230040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6231240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6232450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6233680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6234890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T19:04:24.6235930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6236830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6237720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/executors.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6238600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6239510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6240400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/tests 2025-06-05T19:04:24.6241210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/nxp_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp 2025-06-05T19:04:24.6241840Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend 2025-06-05T19:04:24.6242300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir 2025-06-05T19:04:24.6242760Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:24.6243330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T19:04:24.6244290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T19:04:24.6245250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6246300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6253920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6255180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6256450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6257720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6259050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6260320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6261570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6262860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6264150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6265400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6266650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6267900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6269160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6270410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6271710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6272980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6274260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6275520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6276840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6278160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6279510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6280890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6282280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6283670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6284950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6286320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6287630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6288910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6290230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6291530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6292790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6294080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6295350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6296680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6297940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6299180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6300440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6301700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6302970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6304270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6305570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6306850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6308140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6309470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6310790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6312110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6313410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6314720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6316000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6317260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6318510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6319800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6321210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6322590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6323890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6325190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6326480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6327830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6329180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6330500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6331790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6333080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6334410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6335690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6336960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6338260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6339540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6340800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6342090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6343350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6344600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6345870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6347210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6348610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6349980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6351310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6352590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6353920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6355220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6356510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6357810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T19:04:24.6358990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:24.6359800Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:24.6360640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:24.6361760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:24.6362880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T19:04:24.6363940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T19:04:24.6364940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T19:04:24.6365720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:24.6366280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T19:04:24.6366870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6367900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6369290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6370690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6372160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6373510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6374830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6376200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6377600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6378960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6380350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6381740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6383120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6384550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T19:04:24.6385850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T19:04:24.6386720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:24.6387660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:24.6388960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:24.6390300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:24.6391590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T19:04:24.6392690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:24.6393690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:24.6394740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:24.6395550Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:24.6396360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:24.6397480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:24.6398630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:24.6399810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T19:04:24.6400940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T19:04:24.6401700Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:24.6402550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:24.6403750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:24.6404900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:24.6406050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T19:04:24.6407140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T19:04:24.6408050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/logger.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T19:04:24.6409020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T19:04:24.6409750Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6410550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6411660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6412740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6413800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6414860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6415690Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6416730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6418100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6419370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6420050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6420760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6421430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6422060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6422640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6423290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6423910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6424560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6425190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6425810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6426430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6427090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6427710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T19:04:24.6428210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T19:04:24.6428390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/lib 2025-06-05T19:04:24.6428580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6429090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6429730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6430240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6430800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6431320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6431830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6432350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6432840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6433320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6433820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6434310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6434840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6435360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6435870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6436400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6436940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6437450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6437950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6438480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6439020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6439560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6440080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6440610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6441110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6441640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6442140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6442670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6443210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6443720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6444230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6444740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6445220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6445730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6446260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6446740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6447270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6447800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6448310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6448800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6449290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6449780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6450310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6450810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6451290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6451780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6452300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6452850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6453340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6453870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6454410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6454910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6455420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6455920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6456480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6456970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6457460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6457940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6458440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6458950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6459470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6460010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6461850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6462330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6462870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6463360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6463860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6464430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6464950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6465450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6465950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6466510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6467050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6467580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6468070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6468540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6469100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6469660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6470240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6470810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6471370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6471930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6472430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6472920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6473450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6474020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6474530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6475040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6475610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6476160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6476700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6477200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6477690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6478220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6478690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6479170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6479690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6480210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6480700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6481220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6481720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6482210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6509770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6510360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6510890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6511520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6512120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6512640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6513150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6513730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6514250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6516870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6517420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6517960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6518480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6519030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6519590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6520170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6520680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6521170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6521680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6522240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6522820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6523330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6523790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6524330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6524810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6525340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6525890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6526400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6526890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6527410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6527890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6528410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6528910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6529400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6529930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6530470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6530970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6531520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6532090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6532640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6569040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6569610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6570120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6570690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6571200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6571710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6572240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6572740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6573220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6573750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6574280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6574760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6575250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6575750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6576280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6576870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6577400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6577880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6578400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6578920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6579410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6579930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6580430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6580940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6581440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6581960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6582480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6582970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6583470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6584000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6584530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6585030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6585520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6586070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6586680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6587210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6587700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6588230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6588820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6589310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6621750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6622310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6623160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T19:04:24.6623600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/ir/lib/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend/ir/lib 2025-06-05T19:04:24.6624050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend 2025-06-05T19:04:24.6624470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend 2025-06-05T19:04:24.6624900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend 2025-06-05T19:04:24.6625320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/backend/edge_helper.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/backend 2025-06-05T19:04:24.6625490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/aten_passes 2025-06-05T19:04:24.6625950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T19:04:24.6626410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T19:04:24.6626920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T19:04:24.6627330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/neutron_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp 2025-06-05T19:04:24.6627510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/nxp/quantizer 2025-06-05T19:04:24.6627940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T19:04:24.6628350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer/patterns.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T19:04:24.6628760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/nxp/quantizer/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T19:04:24.6628910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm 2025-06-05T19:04:24.6629340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm 2025-06-05T19:04:24.6629520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6629950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6630360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6630790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6631210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6631630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6632050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6632450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6632870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6633310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6633750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6634180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6634650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6635130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6635590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6636010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6636430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6636840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6637270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6637730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6638170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6638580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6639000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6639440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6639860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6640290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6640730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6641160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6678440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6678900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6679370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6679800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6680300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6680760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6681190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6681620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6682030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_and.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6682470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6682930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6683340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6683760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6684160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6684650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6685090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6685520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6685930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6686370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6686830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6687260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6687730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6688150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6688630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6689080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6689510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6694890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6695320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6695760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6696240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6696650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6697060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6697480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6697910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6698340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6698750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6699170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6699580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6699990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6700420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6700850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6701280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6701780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6702230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6702670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6734510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6734960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6735370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6735830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6736260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6736680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6737110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6737530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6737960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6738370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6738770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6739200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6739620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6740080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6740510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6740910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6741330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6741880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T19:04:24.6742080Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/serialization 2025-06-05T19:04:24.6742570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T19:04:24.6743030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T19:04:24.6743500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T19:04:24.6743670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/tests 2025-06-05T19:04:24.6744110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T19:04:24.6744530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T19:04:24.6744930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T19:04:24.6745100Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/utils 2025-06-05T19:04:24.6745520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/utils 2025-06-05T19:04:24.6745920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/utils 2025-06-05T19:04:24.6746090Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6746520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6746940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6747370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6747810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6748220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6748650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6749080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6749580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6750040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6750490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6750920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6751340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6751740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6752200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6752650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6753060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6793210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6793670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6794100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6794500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6794920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6795390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6795830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6796290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6796710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6797140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6797670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6798120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6798560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6798990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6799410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6799960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6800500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6800930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6801360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6801800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6802210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T19:04:24.6802390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/debugger 2025-06-05T19:04:24.6802790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/debugger/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/debugger 2025-06-05T19:04:24.6802970Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/partition 2025-06-05T19:04:24.6803410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T19:04:24.6803840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T19:04:24.6804290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T19:04:24.6804460Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/quantizer 2025-06-05T19:04:24.6804920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T19:04:24.6805340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T19:04:24.6805830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T19:04:24.6806300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T19:04:24.6806500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:24.6807040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:24.6807570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/quantizer/observers 2025-06-05T19:04:24.6807730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/aot 2025-06-05T19:04:24.6807930Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/qualcomm/aot/ir 2025-06-05T19:04:24.6808330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/qualcomm/aot/ir 2025-06-05T19:04:24.6808480Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/example 2025-06-05T19:04:24.6808710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:24.6809300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:24.6809850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-06-05T19:04:24.6810260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example 2025-06-05T19:04:24.6810650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example 2025-06-05T19:04:24.6811050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example 2025-06-05T19:04:24.6811430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example 2025-06-05T19:04:24.6811630Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/example/example_operators 2025-06-05T19:04:24.6812090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6852300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6852780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6853240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6853790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6854290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6854750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6855220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6855670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6856180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/example/example_operators 2025-06-05T19:04:24.6856370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/openvino 2025-06-05T19:04:24.6856760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino 2025-06-05T19:04:24.6857150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino 2025-06-05T19:04:24.6857310Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/openvino/tests 2025-06-05T19:04:24.6857500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/openvino/tests/models 2025-06-05T19:04:24.6857990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/models/test_classification.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/models 2025-06-05T19:04:24.6858410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/test_runner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests 2025-06-05T19:04:24.6858580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6859030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_batch_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6859470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_arange.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6859910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6860520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6860970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_convolution.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6861390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6861820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_addmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6862360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6862790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6863230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6863690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T19:04:24.6864060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino 2025-06-05T19:04:24.6864270Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/openvino/quantizer 2025-06-05T19:04:24.6864670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/quantizer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/quantizer 2025-06-05T19:04:24.6865100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/openvino/quantizer/quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/openvino/quantizer 2025-06-05T19:04:24.6865250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/mediatek 2025-06-05T19:04:24.6865640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek 2025-06-05T19:04:24.6866020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek 2025-06-05T19:04:24.6866410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek 2025-06-05T19:04:24.6866580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/mediatek/_passes 2025-06-05T19:04:24.6866990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/_passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/_passes 2025-06-05T19:04:24.6867500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/_passes 2025-06-05T19:04:24.6867670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/mediatek/quantizer 2025-06-05T19:04:24.6868100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T19:04:24.6868520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T19:04:24.6868960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T19:04:24.6869390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T19:04:24.6869540Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/transforms 2025-06-05T19:04:24.6870020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6870460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6870860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6871270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/remove_getitem_op.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6904020Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/transforms/test 2025-06-05T19:04:24.6904520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms/test 2025-06-05T19:04:24.6905010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms/test 2025-06-05T19:04:24.6905550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms/test 2025-06-05T19:04:24.6905940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6906390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6906790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6907230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6907630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6908020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6908420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6908820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6909250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6909660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6910100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/transforms 2025-06-05T19:04:24.6910240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan 2025-06-05T19:04:24.6910400Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/tools 2025-06-05T19:04:24.6910660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/tools/gpuinfo 2025-06-05T19:04:24.6910870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6911370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6911850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6912350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6912820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6913360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6913850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T19:04:24.6914240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan 2025-06-05T19:04:24.6914400Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/test 2025-06-05T19:04:24.6914820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test 2025-06-05T19:04:24.6915020Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.6915450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.6915970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.6916430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T19:04:24.6916870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test 2025-06-05T19:04:24.6917050Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:24.6917540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:24.6918000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:24.6918200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6918680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6919230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6919750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6920210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6920700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6921190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T19:04:24.6921640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T19:04:24.6922050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/test_vulkan_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test 2025-06-05T19:04:24.6922470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/test/test_serialization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/test 2025-06-05T19:04:24.6922640Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/partitioner 2025-06-05T19:04:24.6923110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/partitioner 2025-06-05T19:04:24.6952000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/serialization 2025-06-05T19:04:24.6952480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T19:04:24.6952930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T19:04:24.6953420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T19:04:24.6953900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T19:04:24.6954060Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/runtime 2025-06-05T19:04:24.6954480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime 2025-06-05T19:04:24.6954660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/runtime/graph 2025-06-05T19:04:24.6954860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/runtime/graph/ops 2025-06-05T19:04:24.6955070Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6955680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6956290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6956810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6957310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6957850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6958420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6958970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6959560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6960130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6960680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6961250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6961760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6962260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6962770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6963260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6963760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6964270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6964870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6965400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6965890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6966390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6966910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6967460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6968020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6968560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6969060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6969570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6970140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6970620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6971140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6971620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.6972110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7010260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7010780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7011350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7011870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7012400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7012890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7013380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7013920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7014410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7014930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7015460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7015960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7016470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7017010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7017520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7018020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7018560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7019100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7019620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7020220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7020780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7021290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7021800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7022300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7022810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7023350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7023860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7024350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7024860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7025380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7025880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7026390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T19:04:24.7026750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan 2025-06-05T19:04:24.7026920Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7027380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7027840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7028280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7028760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7029200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7029650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7067350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7067790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7068220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T19:04:24.7068630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan 2025-06-05T19:04:24.7068990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan 2025-06-05T19:04:24.7069190Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party 2025-06-05T19:04:24.7069380Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/volk 2025-06-05T19:04:24.7069860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/volk 2025-06-05T19:04:24.7070100Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator 2025-06-05T19:04:24.7070370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools 2025-06-05T19:04:24.7070670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T19:04:24.7071370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T19:04:24.7071590Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers 2025-06-05T19:04:24.7071840Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7072420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7073000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7073550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7074160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7074470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T19:04:24.7075080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T19:04:24.7075680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7076220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7076820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T19:04:24.7077020Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/vulkan/quantizer 2025-06-05T19:04:24.7077460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan/quantizer 2025-06-05T19:04:24.7077860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/vulkan 2025-06-05T19:04:24.7078010Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack 2025-06-05T19:04:24.7078170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test 2025-06-05T19:04:24.7078370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:24.7078870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:24.7079370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/serialization 2025-06-05T19:04:24.7079550Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7080020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7080500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7080950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7081420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7081890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7082400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7082980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T19:04:24.7083160Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7083600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7084050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7084480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7084930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7085410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7085850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7086290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7086740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7123110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7123570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7124000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7124460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7124920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T19:04:24.7125340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test 2025-06-05T19:04:24.7125510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/tester 2025-06-05T19:04:24.7125940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/tester 2025-06-05T19:04:24.7126360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/tester 2025-06-05T19:04:24.7126620Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7127080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7127510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7127930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7128350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7128760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7129260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7129680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7130100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7130510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7130930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7131350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7131810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7132230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7132650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7133090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7133510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7133910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7134330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7134740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7135270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7135690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7136110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7136550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7136970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7137430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7137850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7138270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7138680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7139100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7139530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7139960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7140380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7140800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7141260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7141690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7142110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7182540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7182960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7183480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7183950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7184360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7184790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7185210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T19:04:24.7185680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test 2025-06-05T19:04:24.7185910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:24.7186400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:24.7186900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:24.7187390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T19:04:24.7187560Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7187990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7188420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7188830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7189300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7189730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7190170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7190580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7190990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7191500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7191930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7192370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7192780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7193200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7193630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7194080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7194540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7194950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7195410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7195840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7196270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7196680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7197100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7197520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7197950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7198370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7198770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7199200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7199700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7200150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7200580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7201020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7201430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7229840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7230330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7230760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_log.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7231190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7231610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7232030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7232470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7232880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7233330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7233750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7234170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7234580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7235000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7235410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7235850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7236350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7236770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T19:04:24.7236960Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.7237400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.7237900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.7238370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.7238900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T19:04:24.7239270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack 2025-06-05T19:04:24.7239440Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/utils 2025-06-05T19:04:24.7239840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils/configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T19:04:24.7240270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T19:04:24.7240670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T19:04:24.7241070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T19:04:24.7241240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7241700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7242110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7242540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7242950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7243410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7243850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7244290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7244740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7245180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7245590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7246010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7246440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T19:04:24.7246650Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party 2025-06-05T19:04:24.7247150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party 2025-06-05T19:04:24.7247370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:24.7247880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:24.7248380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T19:04:24.7248580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:24.7279070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:24.7279560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T19:04:24.7279770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/XNNPACK 2025-06-05T19:04:24.7279990Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7280500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7281070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7281660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7282250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7282870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7283470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7284010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7284590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7285120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7285660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7286220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7286760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7287330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7287890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7288440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7288980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7289520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7290060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7290600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7291160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7291810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7292360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7292940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7293480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7294020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7294590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7295180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T19:04:24.7295400Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7295910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7296420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7296950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7297500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7298050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7298570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7325310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7325880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7326490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7327070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7327610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7328160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7328690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7329260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7329780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7330280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7330790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7331340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7331840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7332390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7332930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7333480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7334160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7334700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7335290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7335880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7336440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7344330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7344920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7345510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7346060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7346600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7347120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7347650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7348200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7348730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7349230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7349760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7350280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7350820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7351410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7351950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7352500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7382990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7383610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7384170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7384780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7385320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7385890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7386470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7387030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7387560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7388130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7388680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7389220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7389760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7390300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7390920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7391490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7392010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7392530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7393080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7393670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7394190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7394870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7395430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7395940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7409650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7432100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7432670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7433220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7433730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7434270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7434870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T19:04:24.7435140Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.7435690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.7436220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.7436750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.7437340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T19:04:24.7437580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:24.7438060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:24.7438300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.7438860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.7439420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.7439990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T19:04:24.7440210Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps 2025-06-05T19:04:24.7440430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:24.7440970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:24.7441500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T19:04:24.7441980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T19:04:24.7442170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:24.7442640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:24.7442840Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FP16/test 2025-06-05T19:04:24.7443120Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T19:04:24.7443670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T19:04:24.7443890Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FP16/include 2025-06-05T19:04:24.7444110Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:24.7444630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:24.7445150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:24.7445710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T19:04:24.7446160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-06-05T19:04:24.7446340Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/partition 2025-06-05T19:04:24.7446770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition 2025-06-05T19:04:24.7446960Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7447440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7447910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7448390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7448840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7449340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7449840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T19:04:24.7450300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition 2025-06-05T19:04:24.7450490Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:24.7450950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:24.7451480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/partition/graphs 2025-06-05T19:04:24.7451680Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/xnnpack/quantizer 2025-06-05T19:04:24.7452130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/quantizer 2025-06-05T19:04:24.7452590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack/quantizer 2025-06-05T19:04:24.7452990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/xnnpack 2025-06-05T19:04:24.7453130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm 2025-06-05T19:04:24.7453280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test 2025-06-05T19:04:24.7453470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/misc 2025-06-05T19:04:24.7453910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7454360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7454780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7455220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7455640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7456050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7456470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7456890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7457310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7492530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7493010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/misc 2025-06-05T19:04:24.7522900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/test_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test 2025-06-05T19:04:24.7527900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/conftest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test 2025-06-05T19:04:24.7528190Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/tosautil 2025-06-05T19:04:24.7528680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/tosautil 2025-06-05T19:04:24.7529070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test 2025-06-05T19:04:24.7529260Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/passes 2025-06-05T19:04:24.7529770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7530220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7530720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7550150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7550650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7551130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7551600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7607870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7608370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7608820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7609280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7609720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7610170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7610640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7611090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7767890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7768420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_broadcast_args_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7768870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7769310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7769750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7770200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7770700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/passes 2025-06-05T19:04:24.7770870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/models 2025-06-05T19:04:24.7771290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7771700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7772140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7772580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_mobilenet_v3_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7773000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7773430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7773860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7774280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_conformer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7774690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7775130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7775540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/models 2025-06-05T19:04:24.7775970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/common.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test 2025-06-05T19:04:24.7776160Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/tester 2025-06-05T19:04:24.7776610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/tester 2025-06-05T19:04:24.7777010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/tester 2025-06-05T19:04:24.7777420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/tester 2025-06-05T19:04:24.7777840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/tester 2025-06-05T19:04:24.7778000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/ops 2025-06-05T19:04:24.7778460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7778860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7779240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7779640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7780050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7780480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7780870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7781270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7781660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7782060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7782450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7782840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_cos.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7783230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7783620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_eye.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7784060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7784480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7784890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7785270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_ne.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7785670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7786070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7786510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7786900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_abs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7787290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7787710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7788130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7788520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_erf.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7788920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7789350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7789740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_arange.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7790150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7790540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7790930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7791320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_unary.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7791710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_at.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7792160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_pow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7792590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7793000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7793410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7793800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_neg.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7794200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7794630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7795020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7795420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.7795810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8154730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8155280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8155800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8156290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8156770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8157270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8157780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8158270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8158770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8159250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8159840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8160390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8160870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8161370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8161850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8162350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_zeros.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8162890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8163400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8163880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8164370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8164870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8165380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8165920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8166410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8166910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8167410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8167900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_ones.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8168380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8168880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8169360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8169920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8170460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8170950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_where.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8171430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8171930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8172440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8173010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8173500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_silu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8174000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8174480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8175020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8175530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8176030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8176540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8177030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8177520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/ops 2025-06-05T19:04:24.8177750Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/test/quantizer 2025-06-05T19:04:24.8224680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/test/quantizer 2025-06-05T19:04:24.8224880Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/operators 2025-06-05T19:04:24.8225350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8225790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8226320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8226800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8227250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8227710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8228160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8228610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8229120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8229640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8230120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8230570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8231010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8231490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/ops_identity.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8231970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8232420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8232890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8233340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8233790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_sin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8234240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8234790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_where.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8235290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8235900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8236380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8236850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8237300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_pow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8237760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8238270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8238770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8239220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8239700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8240150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8240620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8241090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8241550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8242020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8242470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8242930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8243380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_neg.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8243840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8244330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8244850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8245360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8245800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8246250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_cos.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8288500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8288950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8289410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8289930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8290370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8290830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8291270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operators/op_erf.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operators 2025-06-05T19:04:24.8291450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/util 2025-06-05T19:04:24.8291910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/util 2025-06-05T19:04:24.8292340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8292520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/tosa 2025-06-05T19:04:24.8292710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.8293290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa/schemas/tosa_1.0.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.8293830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa/schemas/tosa_0.80.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/tosa/schemas 2025-06-05T19:04:24.8294280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8294700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8295110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8295520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/vgf_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8296030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8296490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/vgf_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8296900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/arm_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8297310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/process_node.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8297510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/operator_support 2025-06-05T19:04:24.8298040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8298560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8299090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8299580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8300070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8300550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8301050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8301560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8302060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8302530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8303020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/operator_support 2025-06-05T19:04:24.8303200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/_passes 2025-06-05T19:04:24.8303670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8304120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8304560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8305040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8305550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8305980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8306410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8306840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8307280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8307730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8308180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8308620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8309090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8337100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8337560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8337990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8338400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8338790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8339200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8339590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8339960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8340390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8340950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8341440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8341880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8342290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8342730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8343140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8343630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8344030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8344460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8344850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8345240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8345670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8346100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8346520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8346930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8347350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8347750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8348150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8348570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8349070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8349550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8349960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8350380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8350800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8351190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8351620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8352040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8352470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8352880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8353260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/arm_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8353650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/_passes 2025-06-05T19:04:24.8353810Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/scripts 2025-06-05T19:04:24.8354220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/scripts/parse_test_names.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/scripts 2025-06-05T19:04:24.8354580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8354940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8355110Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party 2025-06-05T19:04:24.8355330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib 2025-06-05T19:04:24.8388750Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/test 2025-06-05T19:04:24.8389010Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T19:04:24.8389630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T19:04:24.8389910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T19:04:24.8390600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T19:04:24.8390880Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/python 2025-06-05T19:04:24.8391160Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:24.8391770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:24.8392400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T19:04:24.8392690Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8393280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8393880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8394480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8395110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8395700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8396280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8396860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8397420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8397990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8398560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8399200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8399840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8400420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8401010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8401610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8402250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8402810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8403390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8403990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8404590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8405200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8405760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8406370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8406950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8407560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8408230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8408860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8427740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8428380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8429040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8429670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8430250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8430850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8431430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T19:04:24.8431670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T19:04:24.8432210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T19:04:24.8432700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib 2025-06-05T19:04:24.8432960Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party 2025-06-05T19:04:24.8433240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:24.8433900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:24.8434210Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:24.8434880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:24.8435610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:24.8436310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T19:04:24.8436650Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8437420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8438190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8438940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8439700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8440430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8441170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8441910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8442660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8443410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8444150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T19:04:24.8444580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8445420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8446240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8447060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8447920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8469500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8470340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8471140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8471980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8472800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8473720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8474530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8475400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8476240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T19:04:24.8476540Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc 2025-06-05T19:04:24.8476860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T19:04:24.8477550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T19:04:24.8477910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples 2025-06-05T19:04:24.8478250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T19:04:24.8479010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T19:04:24.8479340Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T19:04:24.8479690Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python 2025-06-05T19:04:24.8480060Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:24.8480850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:24.8481650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T19:04:24.8482040Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:24.8482900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:24.8483800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:24.8484700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:24.8485610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T19:04:24.8486320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T19:04:24.8486630Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.8486980Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.8487680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.8488390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.8489090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T19:04:24.8489760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.8569620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T19:04:24.8570280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T19:04:24.8570590Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8571290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8571640Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.8572480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.8573280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.8574040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.8574800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T19:04:24.8575520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8575870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T19:04:24.8576610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T19:04:24.8577320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8577670Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.8578440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.8579210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T19:04:24.8579530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T19:04:24.8580220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T19:04:24.8580900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8581610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8582320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8583010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8583330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T19:04:24.8584040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T19:04:24.8584430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.8585180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.8585930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T19:04:24.8586300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.8587120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.8587940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.8588780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T19:04:24.8589480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8589830Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T19:04:24.8590200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:24.8591050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:24.8591890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T19:04:24.8592660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T19:04:24.8593430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T19:04:24.8593840Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:24.8594250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8595110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8600470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8601390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8602300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8603280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T19:04:24.8604080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:24.8604960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:24.8605830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:24.8606650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T19:04:24.8607000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T19:04:24.8607780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T19:04:24.8608460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8608770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8609680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8610420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8611100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8611830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8612530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8613250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8613990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8614340Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.8615460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.8616270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.8617040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T19:04:24.8617430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.8618180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.8618930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T19:04:24.8619630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8620380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T19:04:24.8621100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8621430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.8622170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.8622520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.8623290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.8624110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T19:04:24.8624890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T19:04:24.8625570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8626280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8627010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8627700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8628380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8628770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift 2025-06-05T19:04:24.8629100Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests 2025-06-05T19:04:24.8629450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources 2025-06-05T19:04:24.8629860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T19:04:24.8630750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T19:04:24.8631150Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.8632030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.8632960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T19:04:24.8633780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8634500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8635250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8635660Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:24.8636430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:24.8637210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:24.8637960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T19:04:24.8638320Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.8639100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.8639890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.8640680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T19:04:24.8641340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8642120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8642840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8643170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8643900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8644660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8645430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8646190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8646970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8647760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8648510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8649280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8650050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8650840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8651660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8652440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T19:04:24.8653100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8653800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8654140Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:24.8654510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T19:04:24.8655330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T19:04:24.8656040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:24.8656740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T19:04:24.8658260Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.8659090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.8659900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.8660710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T19:04:24.8661040Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.8661860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.8662670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T19:04:24.8663360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8663680Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T19:04:24.8664500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T19:04:24.8664860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:24.8665210Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:24.8665960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:24.8666720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T19:04:24.8667060Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8667850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8668620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8669380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8670160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8670990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8671760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8672500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8673250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8674060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8674810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8675620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8676000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8676820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8677630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8678580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8692530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8693530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8694400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8695220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8695990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8696790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8697550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8698290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8699080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8699830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8700650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8701420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8702150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8702900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8703770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T19:04:24.8704470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:24.8705190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:24.8705930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T19:04:24.8706640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8707320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T19:04:24.8707630Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java 2025-06-05T19:04:24.8707940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src 2025-06-05T19:04:24.8708270Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test 2025-06-05T19:04:24.8708610Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java 2025-06-05T19:04:24.8708980Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:24.8709780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:24.8710590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T19:04:24.8710970Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T19:04:24.8711790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T19:04:24.8712200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:24.8712620Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8727790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8728730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8729710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8730620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8731540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T19:04:24.8732340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:24.8733150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:24.8733980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:24.8734820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T19:04:24.8735210Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:24.8736110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:24.8736980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:24.8737800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T19:04:24.8738150Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:24.8738520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:24.8739380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:24.8740220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T19:04:24.8740600Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8741460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8742290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8743120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8743970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8744800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8745690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8746540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8747340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8748200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8774470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8775420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8775850Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8776760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8777670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8778580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8779530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8780570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8781500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8782400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T19:04:24.8783240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8784110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8784940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8785750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8786610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8787450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8788330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8789180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8789990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8790890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8791760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T19:04:24.8792530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:24.8793380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:24.8794200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T19:04:24.8794510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:24.8795200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:24.8827750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T19:04:24.8828080Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples 2025-06-05T19:04:24.8828410Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.8829140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.8829860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T19:04:24.8830180Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks 2025-06-05T19:04:24.8830510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp 2025-06-05T19:04:24.8830860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T19:04:24.8831720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T19:04:24.8832060Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android 2025-06-05T19:04:24.8832380Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app 2025-06-05T19:04:24.8832710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src 2025-06-05T19:04:24.8833050Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main 2025-06-05T19:04:24.8833400Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T19:04:24.8834220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T19:04:24.8834530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8835220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8835950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8836670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8837350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8838060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T19:04:24.8838360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T19:04:24.8839030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T19:04:24.8839360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T19:04:24.8840160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T19:04:24.8840510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T19:04:24.8841190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T19:04:24.8841500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:24.8841810Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:24.8842510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:24.8843240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:24.8843930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:24.8844620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T19:04:24.8844950Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T19:04:24.8845640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T19:04:24.8845960Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T19:04:24.8846660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T19:04:24.8846980Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T19:04:24.8847690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T19:04:24.8878170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T19:04:24.8879010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T19:04:24.8879370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T19:04:24.8880080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T19:04:24.8880410Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T19:04:24.8881120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T19:04:24.8881520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T19:04:24.8882280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T19:04:24.8882610Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T19:04:24.8883320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T19:04:24.8883640Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T19:04:24.8884350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T19:04:24.8884680Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T19:04:24.8885400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T19:04:24.8886080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:24.8886400Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T19:04:24.8887110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T19:04:24.8887430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T19:04:24.8888190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T19:04:24.8888920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T19:04:24.8889240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T19:04:24.8889950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T19:04:24.8890280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T19:04:24.8891010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T19:04:24.8891330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T19:04:24.8892040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T19:04:24.8892390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/arm_vela.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8892550Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/arm/quantizer 2025-06-05T19:04:24.8892970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/quantizer 2025-06-05T19:04:24.8893360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/quantizer 2025-06-05T19:04:24.8893790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/quantizer 2025-06-05T19:04:24.8894220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/quantizer 2025-06-05T19:04:24.8894670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm/quantizer 2025-06-05T19:04:24.8895040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/arm 2025-06-05T19:04:24.8895190Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence 2025-06-05T19:04:24.8895360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/runtime 2025-06-05T19:04:24.8895760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/runtime 2025-06-05T19:04:24.8896170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/runtime 2025-06-05T19:04:24.8896650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/runtime 2025-06-05T19:04:24.8897070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/runtime 2025-06-05T19:04:24.8897230Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils 2025-06-05T19:04:24.8897630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils 2025-06-05T19:04:24.8898060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils 2025-06-05T19:04:24.8931230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils 2025-06-05T19:04:24.8931470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO 2025-06-05T19:04:24.8931680Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/test 2025-06-05T19:04:24.8931900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8932470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8933020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8933570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8934130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8934670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8935200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8935760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8936290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8936820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8937370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8937990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8938580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8939110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8939660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8940220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T19:04:24.8940690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO 2025-06-05T19:04:24.8940950Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:24.8941490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:24.8941990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:24.8942490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T19:04:24.8942690Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T19:04:24.8942900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:24.8943400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:24.8943910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:24.8944420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:24.8944940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T19:04:24.8945400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto 2025-06-05T19:04:24.8945620Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T19:04:24.8945870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:24.8946510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:24.8947110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:24.8947680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T19:04:24.8947930Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:24.8948510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:24.8949120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:24.8949690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:24.8950260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T19:04:24.8950510Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.8951080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.8999390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.8999970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.9000550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.9006130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.9006710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.9007280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T19:04:24.9007520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:24.9008160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:24.9008760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:24.9009320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:24.9009890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T19:04:24.9010130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:24.9010720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:24.9011270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T19:04:24.9011780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T19:04:24.9012020Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:24.9012610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:24.9013160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T19:04:24.9013370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:24.9013870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:24.9014360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T19:04:24.9014520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/aot 2025-06-05T19:04:24.9014920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9015310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9015720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9016100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9016550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9016990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9017380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9017550Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9018000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9018450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9018950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9019410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9019860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9020310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9020740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9021180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9021620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T19:04:24.9022030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9022410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9022820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9023240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9023640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9073580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9074090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9074530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9074950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9075360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9075770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9075950Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:24.9076410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:24.9076910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:24.9077360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:24.9077800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T19:04:24.9078210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9078600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9079000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cadence/aot 2025-06-05T19:04:24.9079160Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cortex_m 2025-06-05T19:04:24.9079320Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cortex_m/test 2025-06-05T19:04:24.9079760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/test/test_replace_quant_nodes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cortex_m/test 2025-06-05T19:04:24.9079930Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cortex_m/passes 2025-06-05T19:04:24.9080370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cortex_m/passes 2025-06-05T19:04:24.9080540Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/cortex_m/ops 2025-06-05T19:04:24.9080930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/ops/operators.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cortex_m/ops 2025-06-05T19:04:24.9081300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/backends/cortex_m/ops/operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/backends/cortex_m/ops 2025-06-05T19:04:24.9081430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/runtime 2025-06-05T19:04:24.9081560Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/runtime/test 2025-06-05T19:04:24.9081970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/test/test_runtime.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/runtime/test 2025-06-05T19:04:24.9082300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/runtime 2025-06-05T19:04:24.9082450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/runtime/kernel 2025-06-05T19:04:24.9082600Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/runtime/kernel/test 2025-06-05T19:04:24.9083000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/runtime/kernel/test/functions.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/runtime/kernel/test 2025-06-05T19:04:24.9083130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen 2025-06-05T19:04:24.9083280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen/tools 2025-06-05T19:04:24.9083670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9084050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/gen_oplist.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9084400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/yaml_util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9084560Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen/tools/test 2025-06-05T19:04:24.9084970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools/test 2025-06-05T19:04:24.9085370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools/test 2025-06-05T19:04:24.9085760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools/test 2025-06-05T19:04:24.9086190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools/test 2025-06-05T19:04:24.9086530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9086880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9087220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/gen_all_oplist.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9087580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/tools 2025-06-05T19:04:24.9087730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen/test 2025-06-05T19:04:24.9088110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_executorch_types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9088500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_executorch_signatures.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9088880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9089260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_executorch_gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9089670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_selective_build.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9090080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/test 2025-06-05T19:04:24.9090380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen 2025-06-05T19:04:24.9090680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen 2025-06-05T19:04:24.9090990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen 2025-06-05T19:04:24.9091130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen/api 2025-06-05T19:04:24.9091280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/codegen/api/types 2025-06-05T19:04:24.9091690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api/types 2025-06-05T19:04:24.9092040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types/types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api/types 2025-06-05T19:04:24.9133650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/types/signatures.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api/types 2025-06-05T19:04:24.9134030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/custom_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api 2025-06-05T19:04:24.9134390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api 2025-06-05T19:04:24.9134750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/unboxing.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api 2025-06-05T19:04:24.9135080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/api/et_cpp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen/api 2025-06-05T19:04:24.9135400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/codegen/parse.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/codegen 2025-06-05T19:04:24.9135520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/schema 2025-06-05T19:04:24.9135830Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/schema/program.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/schema 2025-06-05T19:04:24.9136160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/schema/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/schema 2025-06-05T19:04:24.9136300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools 2025-06-05T19:04:24.9136460Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/debug_format 2025-06-05T19:04:24.9136850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/debug_format 2025-06-05T19:04:24.9137240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/debug_format/base_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/debug_format 2025-06-05T19:04:24.9137410Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/visualization 2025-06-05T19:04:24.9137850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization/visualization_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/visualization 2025-06-05T19:04:24.9138310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/visualization 2025-06-05T19:04:24.9138790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/visualization 2025-06-05T19:04:24.9138940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/inspector 2025-06-05T19:04:24.9139330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector 2025-06-05T19:04:24.9139500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/inspector/tests 2025-06-05T19:04:24.9139980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector/tests 2025-06-05T19:04:24.9140420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector/tests 2025-06-05T19:04:24.9140920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector/tests 2025-06-05T19:04:24.9141340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector/tests 2025-06-05T19:04:24.9141760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector/tests 2025-06-05T19:04:24.9142140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector 2025-06-05T19:04:24.9142570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector 2025-06-05T19:04:24.9142960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector 2025-06-05T19:04:24.9143360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/inspector 2025-06-05T19:04:24.9143520Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program 2025-06-05T19:04:24.9143920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program 2025-06-05T19:04:24.9144330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program 2025-06-05T19:04:24.9144500Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/test 2025-06-05T19:04:24.9144950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T19:04:24.9145390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T19:04:24.9145820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T19:04:24.9146000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/util 2025-06-05T19:04:24.9146490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/util/test_util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/util 2025-06-05T19:04:24.9146720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.9147220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.9147430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/serialize/test 2025-06-05T19:04:24.9147930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/serialize/test 2025-06-05T19:04:24.9148470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.9148980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T19:04:24.9149370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/core.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program 2025-06-05T19:04:24.9149560Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.9150030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.9150240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/bundled_program/schema/test 2025-06-05T19:04:24.9150710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/schema/test 2025-06-05T19:04:24.9151150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.9151590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.9152060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T19:04:24.9187270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools 2025-06-05T19:04:24.9187460Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/size_analysis_tool 2025-06-05T19:04:24.9188090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/size_analysis_tool 2025-06-05T19:04:24.9188540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/size_analysis_tool 2025-06-05T19:04:24.9188710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/backend_debug 2025-06-05T19:04:24.9189130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/backend_debug 2025-06-05T19:04:24.9189390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/backend_debug/tests 2025-06-05T19:04:24.9189880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/backend_debug/tests 2025-06-05T19:04:24.9190270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/backend_debug/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/backend_debug 2025-06-05T19:04:24.9190420Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/etdump 2025-06-05T19:04:24.9190790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etdump 2025-06-05T19:04:24.9191170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/schema_flatcc.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etdump 2025-06-05T19:04:24.9191580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etdump 2025-06-05T19:04:24.9191770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/etdump/tests 2025-06-05T19:04:24.9192180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etdump/tests 2025-06-05T19:04:24.9192570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etdump 2025-06-05T19:04:24.9192720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/etrecord 2025-06-05T19:04:24.9192900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/devtools/etrecord/tests 2025-06-05T19:04:24.9193320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etrecord/tests 2025-06-05T19:04:24.9193690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etrecord 2025-06-05T19:04:24.9194070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/devtools/etrecord 2025-06-05T19:04:24.9194200Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples 2025-06-05T19:04:24.9194370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9194780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9195190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9195650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9196070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9196490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9196920Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9197390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9197840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/llama3_config.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9198270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T19:04:24.9198420Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple 2025-06-05T19:04:24.9198570Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple/mps 2025-06-05T19:04:24.9198740Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple/mps/scripts 2025-06-05T19:04:24.9199170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/mps/scripts/mps_example.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/mps/scripts 2025-06-05T19:04:24.9199640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/mps/scripts/bench_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/mps/scripts 2025-06-05T19:04:24.9199800Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple/coreml 2025-06-05T19:04:24.9199980Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9200420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts/export.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9200870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts/inspector_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9201330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts/inspector_cli.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9201780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts/debugger_cli.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9202260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/scripts/extract_coreml_models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T19:04:24.9202430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9202850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama/run.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9203280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama/test.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9203700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama/export.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9204150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9204570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/apple/coreml/llama/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T19:04:24.9204720Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models 2025-06-05T19:04:24.9204940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/torchvision_vit 2025-06-05T19:04:24.9205400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/torchvision_vit 2025-06-05T19:04:24.9205840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/torchvision_vit 2025-06-05T19:04:24.9246450Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/qwen2_5 2025-06-05T19:04:24.9247080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen2_5/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/qwen2_5 2025-06-05T19:04:24.9251900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/qwen2_5 2025-06-05T19:04:24.9252130Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/toy_model 2025-06-05T19:04:24.9252630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/toy_model/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/toy_model 2025-06-05T19:04:24.9253040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/toy_model/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/toy_model 2025-06-05T19:04:24.9253420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/checkpoint.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models 2025-06-05T19:04:24.9253580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/test 2025-06-05T19:04:24.9253970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/test 2025-06-05T19:04:24.9254370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/test/test_export.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/test 2025-06-05T19:04:24.9254530Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/edsr 2025-06-05T19:04:24.9254910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/edsr/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/edsr 2025-06-05T19:04:24.9255400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/edsr/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/edsr 2025-06-05T19:04:24.9255590Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9256030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9256440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini/eager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9256870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9257290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9257700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T19:04:24.9257860Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/resnet 2025-06-05T19:04:24.9258330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/resnet 2025-06-05T19:04:24.9258770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/resnet/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/resnet 2025-06-05T19:04:24.9258950Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/inception_v4 2025-06-05T19:04:24.9259360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v4/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/inception_v4 2025-06-05T19:04:24.9259780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v4/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/inception_v4 2025-06-05T19:04:24.9259940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/qwen3 2025-06-05T19:04:24.9260430Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen3/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/qwen3 2025-06-05T19:04:24.9260910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/qwen3/convert_weights.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/qwen3 2025-06-05T19:04:24.9261090Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/inception_v3 2025-06-05T19:04:24.9261510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v3/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/inception_v3 2025-06-05T19:04:24.9261940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/inception_v3/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/inception_v3 2025-06-05T19:04:24.9262300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models 2025-06-05T19:04:24.9262470Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/deeplab_v3 2025-06-05T19:04:24.9262880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/deeplab_v3 2025-06-05T19:04:24.9263290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/deeplab_v3/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/deeplab_v3 2025-06-05T19:04:24.9263460Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/mobilebert 2025-06-05T19:04:24.9263870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilebert 2025-06-05T19:04:24.9264290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilebert 2025-06-05T19:04:24.9264660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/model_base.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models 2025-06-05T19:04:24.9264850Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/phi-3-mini-lora 2025-06-05T19:04:24.9265300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi-3-mini-lora 2025-06-05T19:04:24.9265480Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/efficient_sam 2025-06-05T19:04:24.9265710Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9266360Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9266940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9267500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9268060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9268580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9269170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T19:04:24.9269600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam 2025-06-05T19:04:24.9270020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/efficient_sam/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/efficient_sam 2025-06-05T19:04:24.9299940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/moshi 2025-06-05T19:04:24.9300120Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/moshi/mimi 2025-06-05T19:04:24.9300550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/moshi/mimi 2025-06-05T19:04:24.9300730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/mobilenet_v2 2025-06-05T19:04:24.9301150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilenet_v2 2025-06-05T19:04:24.9301560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilenet_v2 2025-06-05T19:04:24.9301730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/wav2letter 2025-06-05T19:04:24.9302150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/wav2letter/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/wav2letter 2025-06-05T19:04:24.9302560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/wav2letter 2025-06-05T19:04:24.9302730Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/mobilenet_v3 2025-06-05T19:04:24.9303160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilenet_v3 2025-06-05T19:04:24.9303580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/mobilenet_v3 2025-06-05T19:04:24.9303840Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision 2025-06-05T19:04:24.9304090Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T19:04:24.9304330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:24.9304890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:24.9305410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T19:04:24.9305910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T19:04:24.9306190Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:24.9306670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:24.9307150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:24.9307620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:24.9308080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T19:04:24.9308310Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:24.9308800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:24.9309320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:24.9309810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:24.9310330Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T19:04:24.9310760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision 2025-06-05T19:04:24.9310990Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:24.9311220Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:24.9311760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:24.9312370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T19:04:24.9312970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:24.9313480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T19:04:24.9313640Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llava 2025-06-05T19:04:24.9313800Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llava/test 2025-06-05T19:04:24.9314230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/test/test_pte.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llava/test 2025-06-05T19:04:24.9314690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/test/test_llava.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llava/test 2025-06-05T19:04:24.9315060Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llava 2025-06-05T19:04:24.9315450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llava 2025-06-05T19:04:24.9315850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llava/export_llava.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llava 2025-06-05T19:04:24.9316230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/model_factory.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models 2025-06-05T19:04:24.9316410Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/phi_4_mini 2025-06-05T19:04:24.9316810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi_4_mini/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi_4_mini 2025-06-05T19:04:24.9317230Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/phi_4_mini/convert_weights.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/phi_4_mini 2025-06-05T19:04:24.9317390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama 2025-06-05T19:04:24.9317800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/export_llama.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9318000Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/experimental 2025-06-05T19:04:24.9318480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental/subclass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T19:04:24.9318950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental/generate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T19:04:24.9366020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T19:04:24.9366630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T19:04:24.9367110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9367330Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9367850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9368370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9368890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/custom_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9369420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9372640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9373190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9373710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9374210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9374720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9375240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9375770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9376310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9376810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9377310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9377850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9378510Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9379020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9379560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T19:04:24.9379750Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/tokenizer 2025-06-05T19:04:24.9380210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tokenizer 2025-06-05T19:04:24.9380390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/runner 2025-06-05T19:04:24.9380840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner/generation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/runner 2025-06-05T19:04:24.9381380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner/eager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/runner 2025-06-05T19:04:24.9381810Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/runner/native.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/runner 2025-06-05T19:04:24.9382200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/norm.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9382620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/export_llama_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9382800Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/tests 2025-06-05T19:04:24.9383260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9383700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9384160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_ring_attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9384620Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_export_llama_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9385070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_ring_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9385550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9386000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/tests/test_replace_kv_cache.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/tests 2025-06-05T19:04:24.9386480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/fairseq2.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9386910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9387310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9387730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/llama_transformer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9388120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/hf_download.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9434630Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/llama/evaluate 2025-06-05T19:04:24.9435110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/evaluate 2025-06-05T19:04:24.9435560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama/evaluate 2025-06-05T19:04:24.9436050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/rope.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9436450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/eval_llama.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9436860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9437280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/static_attention.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9437730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9438130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/llama/model_args.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/llama 2025-06-05T19:04:24.9438300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/smollm2 2025-06-05T19:04:24.9438700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/smollm2/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/smollm2 2025-06-05T19:04:24.9439130Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/smollm2/convert_weights.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/smollm2 2025-06-05T19:04:24.9439280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/lstm 2025-06-05T19:04:24.9439670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/lstm/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/lstm 2025-06-05T19:04:24.9440050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/lstm/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/lstm 2025-06-05T19:04:24.9440230Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/examples/models/emformer_rnnt 2025-06-05T19:04:24.9440650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/emformer_rnnt 2025-06-05T19:04:24.9441150Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/examples/models/emformer_rnnt/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/examples/models/emformer_rnnt 2025-06-05T19:04:24.9441280Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir 2025-06-05T19:04:24.9441600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/graph_module.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9441740Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/capture 2025-06-05T19:04:24.9442070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/capture 2025-06-05T19:04:24.9442400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture/_unlift.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/capture 2025-06-05T19:04:24.9442740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture/_capture.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/capture 2025-06-05T19:04:24.9443080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/capture/_config.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/capture 2025-06-05T19:04:24.9443390Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/print_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9443780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dynamic_shape.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9444080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/version.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9444370Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/error.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9444660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/memory.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9444950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/graph.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9445250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/delegate.pyi -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9445390Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/passes 2025-06-05T19:04:24.9445760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9446140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9446520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9446890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9447250Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9447650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9448030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9448490Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9448900Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9449260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9449640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9450000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9450380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9450780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9451120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9451600Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9451970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9452350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9452740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9453100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9453500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9495590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9495990Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9500910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9501280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9501690Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9502050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/pass_registry.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9502420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9502890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9503280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9503680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9504050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9504440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/passes 2025-06-05T19:04:24.9504580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/tests 2025-06-05T19:04:24.9504940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9505280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9505730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_print_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9506100Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_common.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9506440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_warnings.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9506770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9507110Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9507450Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_delegate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9507850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9508200Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9508570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9508970Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9509310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9509660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_tracer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9510050Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9510410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9510820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9511210Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_quantization.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9511540Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/common.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9511890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/transformer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9512220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_error.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9512560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_capture.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9512950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9513310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9513740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9514080Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_serde.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9514470Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9514850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9515220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9515570Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9515930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9516290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9516650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tests/test_verification.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/tests 2025-06-05T19:04:24.9516980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/memory_planning.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9517290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/control_flow.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9517580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9517880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_warnings.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9518020Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/backend 2025-06-05T19:04:24.9518170Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/backend/test 2025-06-05T19:04:24.9518640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9562930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9570460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9570890Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9571310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9571740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9572120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9572720Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9573160Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9573560Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9573980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9574400Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9574800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9575190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9575590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9576030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9576410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9576820Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9577220Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9577700Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test 2025-06-05T19:04:24.9577900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/backend/test/demos 2025-06-05T19:04:24.9578340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test/demos 2025-06-05T19:04:24.9578780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test/demos 2025-06-05T19:04:24.9578950Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.9579420Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.9579910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.9580340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T19:04:24.9580760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9580970Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9581480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9582020Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9582520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9583010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9583500Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T19:04:24.9583870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/backend_details.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9584240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/operator_support.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9584580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9584930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/backend_api.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9585300Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/backend 2025-06-05T19:04:24.9585590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/types.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9585940Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/pass_base.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9586280Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/pass_manager.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9586580Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/delegate.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9586860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tensor.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:24.9587010Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/verification 2025-06-05T19:04:24.9587180Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/verification/test 2025-06-05T19:04:24.9587590Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/verification/test 2025-06-05T19:04:24.9587980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/arg_validator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/verification 2025-06-05T19:04:24.9588340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/dev_html.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/verification 2025-06-05T19:04:24.9588800Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/interpreter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/verification 2025-06-05T19:04:25.0205630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/verification/verifier.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/verification 2025-06-05T19:04:25.0205810Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/_serialize 2025-06-05T19:04:25.0206190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0206360Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/_serialize/test 2025-06-05T19:04:25.0206740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize/test 2025-06-05T19:04:25.0207120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize/test 2025-06-05T19:04:25.0207530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize/test 2025-06-05T19:04:25.0207910Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize/test 2025-06-05T19:04:25.0208310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize/test 2025-06-05T19:04:25.0208670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0209030Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0209380Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0209730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/program.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0210190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0210610Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0210950Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_cord.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0211320Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0211670Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/padding.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0212040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/_serialize 2025-06-05T19:04:25.0212340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/common.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0212480Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects 2025-06-05T19:04:25.0212630Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/test 2025-06-05T19:04:25.0213120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/test 2025-06-05T19:04:25.0213440Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects 2025-06-05T19:04:25.0213780Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects 2025-06-05T19:04:25.0213940Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/backend 2025-06-05T19:04:25.0214110Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/backend/test 2025-06-05T19:04:25.0214550Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/backend/test 2025-06-05T19:04:25.0214930Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/backend 2025-06-05T19:04:25.0215080Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge 2025-06-05T19:04:25.0215250Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/dtype 2025-06-05T19:04:25.0215660Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T19:04:25.0216090Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T19:04:25.0216480Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T19:04:25.0216640Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/test 2025-06-05T19:04:25.0217040Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/test 2025-06-05T19:04:25.0217460Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/test 2025-06-05T19:04:25.0217870Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge 2025-06-05T19:04:25.0218260Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge 2025-06-05T19:04:25.0218420Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/op 2025-06-05T19:04:25.0218580Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/op/test 2025-06-05T19:04:25.0218980Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/op/test 2025-06-05T19:04:25.0219350Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/op 2025-06-05T19:04:25.0219740Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/op 2025-06-05T19:04:25.0219900Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/arg 2025-06-05T19:04:25.0220270Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/arg 2025-06-05T19:04:25.0220710Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/arg 2025-06-05T19:04:25.0220870Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/dialects/edge/spec 2025-06-05T19:04:25.0221240Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/spec 2025-06-05T19:04:25.0221630Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/dialects/edge/spec 2025-06-05T19:04:25.0221770Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/program 2025-06-05T19:04:25.0221910Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/program/test 2025-06-05T19:04:25.0222290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program/test 2025-06-05T19:04:25.0222640Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program/test 2025-06-05T19:04:25.0223010Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/test/test_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program/test 2025-06-05T19:04:25.0223340Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program 2025-06-05T19:04:25.0223680Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/_fake_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program 2025-06-05T19:04:25.0397310Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/program/_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/program 2025-06-05T19:04:25.0397650Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/dim_order_utils.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0397960Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/scalar_type.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0398100Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/emit 2025-06-05T19:04:25.0398340Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/emit/test 2025-06-05T19:04:25.0398750Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/emit/test 2025-06-05T19:04:25.0399070Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/emit 2025-06-05T19:04:25.0399410Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/_emit_program.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/emit 2025-06-05T19:04:25.0399730Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/emit/_emitter.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/emit 2025-06-05T19:04:25.0400000Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/wrap.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0400290Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/sym_util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0400430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/serde 2025-06-05T19:04:25.0400770Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0401180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0401530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/export_serialize.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0401860Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/schema_check.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0402190Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/union.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0402520Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/serde/schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/serde 2025-06-05T19:04:25.0402850Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/lowered_backend_module.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0403140Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/tracer.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0403290Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/operator 2025-06-05T19:04:25.0403440Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/exir/operator/test 2025-06-05T19:04:25.0403840Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/operator/test 2025-06-05T19:04:25.0404180Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/util.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/operator 2025-06-05T19:04:25.0404530Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/convert.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/operator 2025-06-05T19:04:25.0404880Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/operator/manip.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir/operator 2025-06-05T19:04:25.0405170Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/exir/schema.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/exir 2025-06-05T19:04:25.0405300Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/data 2025-06-05T19:04:25.0405430Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/data/bin 2025-06-05T19:04:25.0405790Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/data/bin/__init__.py -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/data/bin 2025-06-05T19:04:25.0406120Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/data/bin/flatc -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/data/bin 2025-06-05T19:04:25.0406240Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/share 2025-06-05T19:04:25.0406370Z creating pip-out/bdist.macosx-11.1-arm64/wheel/executorch/share/cmake 2025-06-05T19:04:25.0406760Z copying pip-out/lib.macosx-11.1-arm64-cpython-311/executorch/share/cmake/executorch-config.cmake -> pip-out/bdist.macosx-11.1-arm64/wheel/./executorch/share/cmake 2025-06-05T19:04:25.0406820Z running install_egg_info 2025-06-05T19:04:25.0407060Z Copying executorch.egg-info to pip-out/bdist.macosx-11.1-arm64/wheel/./executorch-0.7.0a0+bd57234-py3.11.egg-info 2025-06-05T19:04:25.0407110Z running install_scripts 2025-06-05T19:04:25.0407650Z [WARNING] This wheel needs a higher macOS version than the version your Python interpreter is compiled against. To silence this warning, set MACOSX_DEPLOYMENT_TARGET to at least 12_0 or recreate these files with lower MACOSX_DEPLOYMENT_TARGET: 2025-06-05T19:04:25.0407870Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/kernels/quantized/libquantized_ops_aot_lib.dylib 2025-06-05T19:04:25.0408090Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.dylib 2025-06-05T19:04:25.0408400Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pybindings/_portable_lib.cpython-311-darwin.so 2025-06-05T19:04:25.0409240Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/executorchcoreml.cpython-311-darwin.so[WARNING] This wheel needs a higher macOS version than the version your Python interpreter is compiled against. To silence this warning, set MACOSX_DEPLOYMENT_TARGET to at least 12_0 or recreate these files with lower MACOSX_DEPLOYMENT_TARGET: 2025-06-05T19:04:25.0409450Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/kernels/quantized/libquantized_ops_aot_lib.dylib 2025-06-05T19:04:25.0409680Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.dylib 2025-06-05T19:04:25.0409910Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/extension/pybindings/_portable_lib.cpython-311-darwin.so 2025-06-05T19:04:25.0410400Z pip-out/bdist.macosx-11.1-arm64/wheel/executorch/backends/apple/coreml/executorchcoreml.cpython-311-darwin.socreating pip-out/bdist.macosx-11.1-arm64/wheel/executorch-0.7.0a0+bd57234.dist-info/WHEEL 2025-06-05T19:04:25.0410950Z creating '/private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-wheel-alt1fn1x/.tmp-23hr2_8s/executorch-0.7.0a0+bd57234-cp311-cp311-macosx_12_0_arm64.whl' and adding 'pip-out/bdist.macosx-11.1-arm64/wheel' to it 2025-06-05T19:04:25.0411010Z adding 'executorch/version.py' 2025-06-05T19:04:25.0411190Z adding 'executorch/backends/apple/coreml/executorchcoreml.cpython-311-darwin.so' 2025-06-05T19:04:25.0411320Z adding 'executorch/backends/apple/coreml/executorchcoreml.pyi' 2025-06-05T19:04:25.0411430Z adding 'executorch/backends/apple/coreml/compiler/__init__.py' 2025-06-05T19:04:25.0411570Z adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py' 2025-06-05T19:04:25.0411700Z adding 'executorch/backends/apple/coreml/partition/__init__.py' 2025-06-05T19:04:25.0411850Z adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py' 2025-06-05T19:04:25.0411970Z adding 'executorch/backends/apple/coreml/quantizer/__init__.py' 2025-06-05T19:04:25.0412120Z adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py' 2025-06-05T19:04:25.0412280Z adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py' 2025-06-05T19:04:25.0412430Z adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py' 2025-06-05T19:04:25.0412570Z adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py' 2025-06-05T19:04:25.0412660Z adding 'executorch/backends/apple/mps/__init__.py' 2025-06-05T19:04:25.0412800Z adding 'executorch/backends/apple/mps/mps_preprocess.py' 2025-06-05T19:04:25.0412940Z adding 'executorch/backends/apple/mps/operators/__init__.py' 2025-06-05T19:04:25.0413080Z adding 'executorch/backends/apple/mps/operators/activation_ops.py' 2025-06-05T19:04:25.0413190Z adding 'executorch/backends/apple/mps/operators/binary_ops.py' 2025-06-05T19:04:25.0413310Z adding 'executorch/backends/apple/mps/operators/clamp_ops.py' 2025-06-05T19:04:25.0413430Z adding 'executorch/backends/apple/mps/operators/constant_ops.py' 2025-06-05T19:04:25.0413560Z adding 'executorch/backends/apple/mps/operators/convolution_ops.py' 2025-06-05T19:04:25.0413690Z adding 'executorch/backends/apple/mps/operators/indexing_ops.py' 2025-06-05T19:04:25.0413820Z adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py' 2025-06-05T19:04:25.0413940Z adding 'executorch/backends/apple/mps/operators/node_visitor.py' 2025-06-05T19:04:25.0414080Z adding 'executorch/backends/apple/mps/operators/normalization_ops.py' 2025-06-05T19:04:25.0414190Z adding 'executorch/backends/apple/mps/operators/op_clone.py' 2025-06-05T19:04:25.0414310Z adding 'executorch/backends/apple/mps/operators/op_getitem.py' 2025-06-05T19:04:25.0414440Z adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py' 2025-06-05T19:04:25.0414560Z adding 'executorch/backends/apple/mps/operators/op_skip_ops.py' 2025-06-05T19:04:25.0414730Z adding 'executorch/backends/apple/mps/operators/pad_ops.py' 2025-06-05T19:04:25.0414850Z adding 'executorch/backends/apple/mps/operators/pooling_ops.py' 2025-06-05T19:04:25.0575440Z adding 'executorch/backends/apple/mps/operators/range_ops.py' 2025-06-05T19:04:25.0575590Z adding 'executorch/backends/apple/mps/operators/reduce_ops.py' 2025-06-05T19:04:25.0575710Z adding 'executorch/backends/apple/mps/operators/shape_ops.py' 2025-06-05T19:04:25.0575820Z adding 'executorch/backends/apple/mps/operators/unary_ops.py' 2025-06-05T19:04:25.0575940Z adding 'executorch/backends/apple/mps/partition/__init__.py' 2025-06-05T19:04:25.0576090Z adding 'executorch/backends/apple/mps/partition/mps_partitioner.py' 2025-06-05T19:04:25.0576240Z adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py' 2025-06-05T19:04:25.0576400Z adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py' 2025-06-05T19:04:25.0576530Z adding 'executorch/backends/apple/mps/serialization/schema.fbs' 2025-06-05T19:04:25.0576630Z adding 'executorch/backends/apple/mps/test/test_mps.py' 2025-06-05T19:04:25.0576960Z adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py' 2025-06-05T19:04:25.0577300Z adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py' 2025-06-05T19:04:25.0577620Z adding 'executorch/backends/apple/mps/test/test_mps_linear.py' 2025-06-05T19:04:25.0577920Z adding 'executorch/backends/apple/mps/test/test_mps_models.py' 2025-06-05T19:04:25.0578220Z adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py' 2025-06-05T19:04:25.0578530Z adding 'executorch/backends/apple/mps/test/test_mps_utils.py' 2025-06-05T19:04:25.0578820Z adding 'executorch/backends/apple/mps/utils/mps_utils.py' 2025-06-05T19:04:25.0579100Z adding 'executorch/backends/apple/mps/utils/quant_utils.py' 2025-06-05T19:04:25.0579360Z adding 'executorch/backends/arm/arm_backend.py' 2025-06-05T19:04:25.0579590Z adding 'executorch/backends/arm/arm_vela.py' 2025-06-05T19:04:25.0579810Z adding 'executorch/backends/arm/ethosu_backend.py' 2025-06-05T19:04:25.0580060Z adding 'executorch/backends/arm/ethosu_partitioner.py' 2025-06-05T19:04:25.0580320Z adding 'executorch/backends/arm/process_node.py' 2025-06-05T19:04:25.0580550Z adding 'executorch/backends/arm/tosa_backend.py' 2025-06-05T19:04:25.0580790Z adding 'executorch/backends/arm/tosa_mapping.py' 2025-06-05T19:04:25.0581030Z adding 'executorch/backends/arm/tosa_partitioner.py' 2025-06-05T19:04:25.0581280Z adding 'executorch/backends/arm/tosa_quant_utils.py' 2025-06-05T19:04:25.0581530Z adding 'executorch/backends/arm/tosa_specification.py' 2025-06-05T19:04:25.0581880Z adding 'executorch/backends/arm/tosa_utils.py' 2025-06-05T19:04:25.0582110Z adding 'executorch/backends/arm/vgf_backend.py' 2025-06-05T19:04:25.0582340Z adding 'executorch/backends/arm/vgf_partitioner.py' 2025-06-05T19:04:25.0582580Z adding 'executorch/backends/arm/_passes/__init__.py' 2025-06-05T19:04:25.0582850Z adding 'executorch/backends/arm/_passes/_debug_passes.py' 2025-06-05T19:04:25.0583180Z adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py' 2025-06-05T19:04:25.0589420Z adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py' 2025-06-05T19:04:25.0590700Z adding 'executorch/backends/arm/_passes/arm_pass.py' 2025-06-05T19:04:25.0591560Z adding 'executorch/backends/arm/_passes/arm_pass_manager.py' 2025-06-05T19:04:25.0592540Z adding 'executorch/backends/arm/_passes/arm_pass_utils.py' 2025-06-05T19:04:25.0593510Z adding 'executorch/backends/arm/_passes/broadcast_args_pass.py' 2025-06-05T19:04:25.0594410Z adding 'executorch/backends/arm/_passes/cast_int64_pass.py' 2025-06-05T19:04:25.0595470Z adding 'executorch/backends/arm/_passes/cast_to_int32_pass.py' 2025-06-05T19:04:25.0596390Z adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py' 2025-06-05T19:04:25.0597320Z adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py' 2025-06-05T19:04:25.0598810Z adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py' 2025-06-05T19:04:25.0599790Z adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py' 2025-06-05T19:04:25.0600710Z adding 'executorch/backends/arm/_passes/convert_int_pow_to_mul.py' 2025-06-05T19:04:25.0601690Z adding 'executorch/backends/arm/_passes/convert_minmax_pass.py' 2025-06-05T19:04:25.0602710Z adding 'executorch/backends/arm/_passes/convert_split_to_slice.py' 2025-06-05T19:04:25.0603580Z adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py' 2025-06-05T19:04:25.0604430Z adding 'executorch/backends/arm/_passes/convert_to_clamp.py' 2025-06-05T19:04:25.0605320Z adding 'executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py' 2025-06-05T19:04:25.0606230Z adding 'executorch/backends/arm/_passes/decompose_div_pass.py' 2025-06-05T19:04:25.0607040Z adding 'executorch/backends/arm/_passes/decompose_gelu_pass.py' 2025-06-05T19:04:25.0608040Z adding 'executorch/backends/arm/_passes/decompose_groupnorm_pass.py' 2025-06-05T19:04:25.0608950Z adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py' 2025-06-05T19:04:25.0609860Z adding 'executorch/backends/arm/_passes/decompose_leaky_relu_pass.py' 2025-06-05T19:04:25.0610820Z adding 'executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py' 2025-06-05T19:04:25.0611760Z adding 'executorch/backends/arm/_passes/decompose_linear_pass.py' 2025-06-05T19:04:25.0612630Z adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py' 2025-06-05T19:04:25.0613460Z adding 'executorch/backends/arm/_passes/decompose_ne_pass.py' 2025-06-05T19:04:25.0614250Z adding 'executorch/backends/arm/_passes/decompose_select.py' 2025-06-05T19:04:25.0615050Z adding 'executorch/backends/arm/_passes/decompose_silu_pass.py' 2025-06-05T19:04:25.0615970Z adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py' 2025-06-05T19:04:25.0616390Z adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py' 2025-06-05T19:04:25.0616730Z adding 'executorch/backends/arm/_passes/decompose_sqrt_pass.py' 2025-06-05T19:04:25.0617030Z adding 'executorch/backends/arm/_passes/decompose_sum_pass.py' 2025-06-05T19:04:25.0617320Z adding 'executorch/backends/arm/_passes/decompose_var_pass.py' 2025-06-05T19:04:25.0617660Z adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py' 2025-06-05T19:04:25.0618000Z adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py' 2025-06-05T19:04:25.0618320Z adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py' 2025-06-05T19:04:25.0618740Z adding 'executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py' 2025-06-05T19:04:25.0619140Z adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py' 2025-06-05T19:04:25.0619460Z adding 'executorch/backends/arm/_passes/insert_rescales_pass.py' 2025-06-05T19:04:25.0619750Z adding 'executorch/backends/arm/_passes/insert_table_ops.py' 2025-06-05T19:04:25.0620050Z adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py' 2025-06-05T19:04:25.0620390Z adding 'executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py' 2025-06-05T19:04:25.0620720Z adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py' 2025-06-05T19:04:25.0621000Z adding 'executorch/backends/arm/_passes/remove_clone_pass.py' 2025-06-05T19:04:25.0621310Z adding 'executorch/backends/arm/_passes/replace_inf_values_pass.py' 2025-06-05T19:04:25.0621640Z adding 'executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py' 2025-06-05T19:04:25.0621990Z adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py' 2025-06-05T19:04:25.0622320Z adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py' 2025-06-05T19:04:25.0622640Z adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py' 2025-06-05T19:04:25.0622990Z adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py' 2025-06-05T19:04:25.0623420Z adding 'executorch/backends/arm/operator_support/__init__.py' 2025-06-05T19:04:25.0623740Z adding 'executorch/backends/arm/operator_support/convolution_support.py' 2025-06-05T19:04:25.0624070Z adding 'executorch/backends/arm/operator_support/ethos_u55_support.py' 2025-06-05T19:04:25.0624400Z adding 'executorch/backends/arm/operator_support/minmax_support.py' 2025-06-05T19:04:25.0624740Z adding 'executorch/backends/arm/operator_support/pool_2d_support.py' 2025-06-05T19:04:25.0625080Z adding 'executorch/backends/arm/operator_support/reduce_sum_support.py' 2025-06-05T19:04:25.0625440Z adding 'executorch/backends/arm/operator_support/right_shift_support.py' 2025-06-05T19:04:25.0625780Z adding 'executorch/backends/arm/operator_support/sin_cos_support.py' 2025-06-05T19:04:25.0626130Z adding 'executorch/backends/arm/operator_support/slice_copy_support.py' 2025-06-05T19:04:25.0626470Z adding 'executorch/backends/arm/operator_support/to_copy_support.py' 2025-06-05T19:04:25.0626830Z adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py' 2025-06-05T19:04:25.0627160Z adding 'executorch/backends/arm/operators/__init__.py' 2025-06-05T19:04:25.0627420Z adding 'executorch/backends/arm/operators/node_visitor.py' 2025-06-05T19:04:25.0627690Z adding 'executorch/backends/arm/operators/op_abs.py' 2025-06-05T19:04:25.0627940Z adding 'executorch/backends/arm/operators/op_add.py' 2025-06-05T19:04:25.0628190Z adding 'executorch/backends/arm/operators/op_amax.py' 2025-06-05T19:04:25.0628440Z adding 'executorch/backends/arm/operators/op_amin.py' 2025-06-05T19:04:25.0628690Z adding 'executorch/backends/arm/operators/op_any.py' 2025-06-05T19:04:25.0628960Z adding 'executorch/backends/arm/operators/op_avg_pool2d.py' 2025-06-05T19:04:25.0629230Z adding 'executorch/backends/arm/operators/op_bmm.py' 2025-06-05T19:04:25.0629480Z adding 'executorch/backends/arm/operators/op_cat.py' 2025-06-05T19:04:25.0629730Z adding 'executorch/backends/arm/operators/op_clamp.py' 2025-06-05T19:04:25.0630000Z adding 'executorch/backends/arm/operators/op_constant_pad_nd.py' 2025-06-05T19:04:25.0630280Z adding 'executorch/backends/arm/operators/op_conv2d.py' 2025-06-05T19:04:25.0630530Z adding 'executorch/backends/arm/operators/op_cos.py' 2025-06-05T19:04:25.0630760Z adding 'executorch/backends/arm/operators/op_eq.py' 2025-06-05T19:04:25.0631000Z adding 'executorch/backends/arm/operators/op_erf.py' 2025-06-05T19:04:25.0631230Z adding 'executorch/backends/arm/operators/op_exp.py' 2025-06-05T19:04:25.0631460Z adding 'executorch/backends/arm/operators/op_ge.py' 2025-06-05T19:04:25.0631690Z adding 'executorch/backends/arm/operators/op_gt.py' 2025-06-05T19:04:25.0632010Z adding 'executorch/backends/arm/operators/op_le.py' 2025-06-05T19:04:25.0632250Z adding 'executorch/backends/arm/operators/op_log.py' 2025-06-05T19:04:25.0632480Z adding 'executorch/backends/arm/operators/op_lt.py' 2025-06-05T19:04:25.0632730Z adding 'executorch/backends/arm/operators/op_max_pool2d.py' 2025-06-05T19:04:25.0633010Z adding 'executorch/backends/arm/operators/op_maximum.py' 2025-06-05T19:04:25.0633270Z adding 'executorch/backends/arm/operators/op_minimum.py' 2025-06-05T19:04:25.0633520Z adding 'executorch/backends/arm/operators/op_mul.py' 2025-06-05T19:04:25.0633760Z adding 'executorch/backends/arm/operators/op_neg.py' 2025-06-05T19:04:25.0634000Z adding 'executorch/backends/arm/operators/op_permute.py' 2025-06-05T19:04:25.0634250Z adding 'executorch/backends/arm/operators/op_pow.py' 2025-06-05T19:04:25.0634510Z adding 'executorch/backends/arm/operators/op_reciprocal.py' 2025-06-05T19:04:25.0634780Z adding 'executorch/backends/arm/operators/op_repeat.py' 2025-06-05T19:04:25.0635050Z adding 'executorch/backends/arm/operators/op_rescale.py' 2025-06-05T19:04:25.0635340Z adding 'executorch/backends/arm/operators/op_rshift_tensor.py' 2025-06-05T19:04:25.0707130Z adding 'executorch/backends/arm/operators/op_rsqrt.py' 2025-06-05T19:04:25.0707430Z adding 'executorch/backends/arm/operators/op_sigmoid.py' 2025-06-05T19:04:25.0707820Z adding 'executorch/backends/arm/operators/op_sin.py' 2025-06-05T19:04:25.0708070Z adding 'executorch/backends/arm/operators/op_slice.py' 2025-06-05T19:04:25.0708320Z adding 'executorch/backends/arm/operators/op_sub.py' 2025-06-05T19:04:25.0708570Z adding 'executorch/backends/arm/operators/op_sum.py' 2025-06-05T19:04:25.0708810Z adding 'executorch/backends/arm/operators/op_table.py' 2025-06-05T19:04:25.0709080Z adding 'executorch/backends/arm/operators/op_tanh.py' 2025-06-05T19:04:25.0709340Z adding 'executorch/backends/arm/operators/op_to_copy.py' 2025-06-05T19:04:25.0709640Z adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py' 2025-06-05T19:04:25.0709940Z adding 'executorch/backends/arm/operators/op_transpose.py' 2025-06-05T19:04:25.0710260Z adding 'executorch/backends/arm/operators/op_upsample_bilinear2d.py' 2025-06-05T19:04:25.0710600Z adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py' 2025-06-05T19:04:25.0710890Z adding 'executorch/backends/arm/operators/op_view.py' 2025-06-05T19:04:25.0711150Z adding 'executorch/backends/arm/operators/op_where.py' 2025-06-05T19:04:25.0711460Z adding 'executorch/backends/arm/operators/operator_validation_utils.py' 2025-06-05T19:04:25.0711770Z adding 'executorch/backends/arm/operators/ops_binary.py' 2025-06-05T19:04:25.0712040Z adding 'executorch/backends/arm/operators/ops_identity.py' 2025-06-05T19:04:25.0712310Z adding 'executorch/backends/arm/operators/ops_unary.py' 2025-06-05T19:04:25.0712570Z adding 'executorch/backends/arm/quantizer/__init__.py' 2025-06-05T19:04:25.0712840Z adding 'executorch/backends/arm/quantizer/arm_quantizer.py' 2025-06-05T19:04:25.0713140Z adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py' 2025-06-05T19:04:25.0713470Z adding 'executorch/backends/arm/quantizer/quantization_annotator.py' 2025-06-05T19:04:25.0713800Z adding 'executorch/backends/arm/quantizer/quantization_config.py' 2025-06-05T19:04:25.0714100Z adding 'executorch/backends/arm/scripts/parse_test_names.py' 2025-06-05T19:04:25.0714360Z adding 'executorch/backends/arm/test/common.py' 2025-06-05T19:04:25.0714590Z adding 'executorch/backends/arm/test/conftest.py' 2025-06-05T19:04:25.0714830Z adding 'executorch/backends/arm/test/runner_utils.py' 2025-06-05T19:04:25.0715080Z adding 'executorch/backends/arm/test/test_model.py' 2025-06-05T19:04:25.0715360Z adding 'executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py' 2025-06-05T19:04:25.0715700Z adding 'executorch/backends/arm/test/misc/test_custom_partition.py' 2025-06-05T19:04:25.0716080Z adding 'executorch/backends/arm/test/misc/test_debug_feats.py' 2025-06-05T19:04:25.0716430Z adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py' 2025-06-05T19:04:25.0716750Z adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py' 2025-06-05T19:04:25.0717060Z adding 'executorch/backends/arm/test/misc/test_model_evaluator.py' 2025-06-05T19:04:25.0717400Z adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py' 2025-06-05T19:04:25.0717740Z adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py' 2025-06-05T19:04:25.0718080Z adding 'executorch/backends/arm/test/misc/test_non_persistent_buffers.py' 2025-06-05T19:04:25.0718480Z adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py' 2025-06-05T19:04:25.0718840Z adding 'executorch/backends/arm/test/misc/test_tosa_spec.py' 2025-06-05T19:04:25.0719140Z adding 'executorch/backends/arm/test/models/test_conformer.py' 2025-06-05T19:04:25.0719440Z adding 'executorch/backends/arm/test/models/test_deit_tiny_arm.py' 2025-06-05T19:04:25.0719750Z adding 'executorch/backends/arm/test/models/test_dl3_arm.py' 2025-06-05T19:04:25.0720030Z adding 'executorch/backends/arm/test/models/test_llama.py' 2025-06-05T19:04:25.0720310Z adding 'executorch/backends/arm/test/models/test_lstm_arm.py' 2025-06-05T19:04:25.0720630Z adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py' 2025-06-05T19:04:25.0721040Z adding 'executorch/backends/arm/test/models/test_mobilenet_v3_arm.py' 2025-06-05T19:04:25.0721380Z adding 'executorch/backends/arm/test/models/test_nn_functional.py' 2025-06-05T19:04:25.0721690Z adding 'executorch/backends/arm/test/models/test_nn_modules.py' 2025-06-05T19:04:25.0722000Z adding 'executorch/backends/arm/test/models/test_torch_functions.py' 2025-06-05T19:04:25.0722310Z adding 'executorch/backends/arm/test/models/test_w2l_arm.py' 2025-06-05T19:04:25.0722580Z adding 'executorch/backends/arm/test/ops/test_abs.py' 2025-06-05T19:04:25.0722820Z adding 'executorch/backends/arm/test/ops/test_add.py' 2025-06-05T19:04:25.0723100Z adding 'executorch/backends/arm/test/ops/test_alias_copy.py' 2025-06-05T19:04:25.0723370Z adding 'executorch/backends/arm/test/ops/test_amax.py' 2025-06-05T19:04:25.0723610Z adding 'executorch/backends/arm/test/ops/test_amin.py' 2025-06-05T19:04:25.0723860Z adding 'executorch/backends/arm/test/ops/test_any.py' 2025-06-05T19:04:25.0724120Z adding 'executorch/backends/arm/test/ops/test_arange.py' 2025-06-05T19:04:25.0724370Z adding 'executorch/backends/arm/test/ops/test_at.py' 2025-06-05T19:04:25.0724630Z adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py' 2025-06-05T19:04:25.0724920Z adding 'executorch/backends/arm/test/ops/test_batch_norm.py' 2025-06-05T19:04:25.0725190Z adding 'executorch/backends/arm/test/ops/test_bitwise.py' 2025-06-05T19:04:25.0725450Z adding 'executorch/backends/arm/test/ops/test_bmm.py' 2025-06-05T19:04:25.0725700Z adding 'executorch/backends/arm/test/ops/test_cat.py' 2025-06-05T19:04:25.0725950Z adding 'executorch/backends/arm/test/ops/test_clamp.py' 2025-06-05T19:04:25.0726200Z adding 'executorch/backends/arm/test/ops/test_clone.py' 2025-06-05T19:04:25.0726490Z adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py' 2025-06-05T19:04:25.0726790Z adding 'executorch/backends/arm/test/ops/test_conv1d.py' 2025-06-05T19:04:25.0727060Z adding 'executorch/backends/arm/test/ops/test_conv2d.py' 2025-06-05T19:04:25.0727320Z adding 'executorch/backends/arm/test/ops/test_conv3d.py' 2025-06-05T19:04:25.0727610Z adding 'executorch/backends/arm/test/ops/test_conv_combos.py' 2025-06-05T19:04:25.0727920Z adding 'executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py' 2025-06-05T19:04:25.0728220Z adding 'executorch/backends/arm/test/ops/test_cos.py' 2025-06-05T19:04:25.0728500Z adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py' 2025-06-05T19:04:25.0728780Z adding 'executorch/backends/arm/test/ops/test_div.py' 2025-06-05T19:04:25.0729030Z adding 'executorch/backends/arm/test/ops/test_eq.py' 2025-06-05T19:04:25.0729340Z adding 'executorch/backends/arm/test/ops/test_erf.py' 2025-06-05T19:04:25.0729590Z adding 'executorch/backends/arm/test/ops/test_exp.py' 2025-06-05T19:04:25.0729850Z adding 'executorch/backends/arm/test/ops/test_expand.py' 2025-06-05T19:04:25.0730100Z adding 'executorch/backends/arm/test/ops/test_eye.py' 2025-06-05T19:04:25.0730360Z adding 'executorch/backends/arm/test/ops/test_full.py' 2025-06-05T19:04:25.0730600Z adding 'executorch/backends/arm/test/ops/test_ge.py' 2025-06-05T19:04:25.0730850Z adding 'executorch/backends/arm/test/ops/test_gelu.py' 2025-06-05T19:04:25.0731110Z adding 'executorch/backends/arm/test/ops/test_group_norm.py' 2025-06-05T19:04:25.0731370Z adding 'executorch/backends/arm/test/ops/test_gt.py' 2025-06-05T19:04:25.0731630Z adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py' 2025-06-05T19:04:25.0731910Z adding 'executorch/backends/arm/test/ops/test_hardswish.py' 2025-06-05T19:04:25.0732190Z adding 'executorch/backends/arm/test/ops/test_hardtanh.py' 2025-06-05T19:04:25.0732470Z adding 'executorch/backends/arm/test/ops/test_layer_norm.py' 2025-06-05T19:04:25.0732740Z adding 'executorch/backends/arm/test/ops/test_le.py' 2025-06-05T19:04:25.0733000Z adding 'executorch/backends/arm/test/ops/test_leaky_relu.py' 2025-06-05T19:04:25.0733290Z adding 'executorch/backends/arm/test/ops/test_linalg_vector_norm.py' 2025-06-05T19:04:25.0733640Z adding 'executorch/backends/arm/test/ops/test_linear.py' 2025-06-05T19:04:25.0733900Z adding 'executorch/backends/arm/test/ops/test_log.py' 2025-06-05T19:04:25.0734150Z adding 'executorch/backends/arm/test/ops/test_logical.py' 2025-06-05T19:04:25.0734430Z adding 'executorch/backends/arm/test/ops/test_logsoftmax.py' 2025-06-05T19:04:25.0734700Z adding 'executorch/backends/arm/test/ops/test_lshift.py' 2025-06-05T19:04:25.0734960Z adding 'executorch/backends/arm/test/ops/test_lt.py' 2025-06-05T19:04:25.0735200Z adding 'executorch/backends/arm/test/ops/test_matmul.py' 2025-06-05T19:04:25.0735460Z adding 'executorch/backends/arm/test/ops/test_max_pool.py' 2025-06-05T19:04:25.0735730Z adding 'executorch/backends/arm/test/ops/test_maximum.py' 2025-06-05T19:04:25.0735990Z adding 'executorch/backends/arm/test/ops/test_mean_dim.py' 2025-06-05T19:04:25.0736260Z adding 'executorch/backends/arm/test/ops/test_minimum.py' 2025-06-05T19:04:25.0736520Z adding 'executorch/backends/arm/test/ops/test_mm.py' 2025-06-05T19:04:25.0736760Z adding 'executorch/backends/arm/test/ops/test_mul.py' 2025-06-05T19:04:25.0737010Z adding 'executorch/backends/arm/test/ops/test_ne.py' 2025-06-05T19:04:25.0737250Z adding 'executorch/backends/arm/test/ops/test_neg.py' 2025-06-05T19:04:25.0737500Z adding 'executorch/backends/arm/test/ops/test_ones.py' 2025-06-05T19:04:25.0737760Z adding 'executorch/backends/arm/test/ops/test_permute.py' 2025-06-05T19:04:25.0738010Z adding 'executorch/backends/arm/test/ops/test_pow.py' 2025-06-05T19:04:25.0738270Z adding 'executorch/backends/arm/test/ops/test_reciprocal.py' 2025-06-05T19:04:25.0738550Z adding 'executorch/backends/arm/test/ops/test_relu.py' 2025-06-05T19:04:25.0738810Z adding 'executorch/backends/arm/test/ops/test_repeat.py' 2025-06-05T19:04:25.0739070Z adding 'executorch/backends/arm/test/ops/test_rshift.py' 2025-06-05T19:04:25.0739330Z adding 'executorch/backends/arm/test/ops/test_rsqrt.py' 2025-06-05T19:04:25.0739620Z adding 'executorch/backends/arm/test/ops/test_scalar_tensor.py' 2025-06-05T19:04:25.0739900Z adding 'executorch/backends/arm/test/ops/test_scalars.py' 2025-06-05T19:04:25.0740160Z adding 'executorch/backends/arm/test/ops/test_sdpa.py' 2025-06-05T19:04:25.0740420Z adding 'executorch/backends/arm/test/ops/test_select.py' 2025-06-05T19:04:25.0740680Z adding 'executorch/backends/arm/test/ops/test_sigmoid.py' 2025-06-05T19:04:25.0740970Z adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py' 2025-06-05T19:04:25.0741270Z adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py' 2025-06-05T19:04:25.0741610Z adding 'executorch/backends/arm/test/ops/test_silu.py' 2025-06-05T19:04:25.0741900Z adding 'executorch/backends/arm/test/ops/test_sin.py' 2025-06-05T19:04:25.0742140Z adding 'executorch/backends/arm/test/ops/test_slice.py' 2025-06-05T19:04:25.0742390Z adding 'executorch/backends/arm/test/ops/test_softmax.py' 2025-06-05T19:04:25.0742650Z adding 'executorch/backends/arm/test/ops/test_split.py' 2025-06-05T19:04:25.0742910Z adding 'executorch/backends/arm/test/ops/test_sqrt.py' 2025-06-05T19:04:25.0743170Z adding 'executorch/backends/arm/test/ops/test_squeeze.py' 2025-06-05T19:04:25.0743430Z adding 'executorch/backends/arm/test/ops/test_sub.py' 2025-06-05T19:04:25.0743670Z adding 'executorch/backends/arm/test/ops/test_sum.py' 2025-06-05T19:04:25.0743910Z adding 'executorch/backends/arm/test/ops/test_tanh.py' 2025-06-05T19:04:25.0744170Z adding 'executorch/backends/arm/test/ops/test_to_copy.py' 2025-06-05T19:04:25.0744430Z adding 'executorch/backends/arm/test/ops/test_unary.py' 2025-06-05T19:04:25.0744700Z adding 'executorch/backends/arm/test/ops/test_unsqueeze.py' 2025-06-05T19:04:25.0788510Z adding 'executorch/backends/arm/test/ops/test_upsample_bilinear2d.py' 2025-06-05T19:04:25.0788890Z adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py' 2025-06-05T19:04:25.0789200Z adding 'executorch/backends/arm/test/ops/test_var.py' 2025-06-05T19:04:25.0789560Z adding 'executorch/backends/arm/test/ops/test_view.py' 2025-06-05T19:04:25.0789830Z adding 'executorch/backends/arm/test/ops/test_where.py' 2025-06-05T19:04:25.0790090Z adding 'executorch/backends/arm/test/ops/test_zeros.py' 2025-06-05T19:04:25.0790400Z adding 'executorch/backends/arm/test/passes/test_broadcast_args_pass.py' 2025-06-05T19:04:25.0790750Z adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py' 2025-06-05T19:04:25.0791130Z adding 'executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py' 2025-06-05T19:04:25.0791530Z adding 'executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py' 2025-06-05T19:04:25.0791910Z adding 'executorch/backends/arm/test/passes/test_convert_split_to_slice.py' 2025-06-05T19:04:25.0792270Z adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py' 2025-06-05T19:04:25.0792650Z adding 'executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py' 2025-06-05T19:04:25.0793050Z adding 'executorch/backends/arm/test/passes/test_decompose_div_pass.py' 2025-06-05T19:04:25.0793410Z adding 'executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py' 2025-06-05T19:04:25.0793820Z adding 'executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py' 2025-06-05T19:04:25.0794210Z adding 'executorch/backends/arm/test/passes/test_decompose_meandim_pass.py' 2025-06-05T19:04:25.0794590Z adding 'executorch/backends/arm/test/passes/test_decompose_softmax_pass.py' 2025-06-05T19:04:25.0794940Z adding 'executorch/backends/arm/test/passes/test_decompose_var_pass.py' 2025-06-05T19:04:25.0795280Z adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py' 2025-06-05T19:04:25.0795620Z adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py' 2025-06-05T19:04:25.0795980Z adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py' 2025-06-05T19:04:25.0796370Z adding 'executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py' 2025-06-05T19:04:25.0796770Z adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py' 2025-06-05T19:04:25.0797130Z adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py' 2025-06-05T19:04:25.0797480Z adding 'executorch/backends/arm/test/passes/test_remove_clone_pass.py' 2025-06-05T19:04:25.0797810Z adding 'executorch/backends/arm/test/passes/test_rescale_pass.py' 2025-06-05T19:04:25.0798170Z adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py' 2025-06-05T19:04:25.0798560Z adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py' 2025-06-05T19:04:25.0798990Z adding 'executorch/backends/arm/test/tester/__init__.py' 2025-06-05T19:04:25.0799290Z adding 'executorch/backends/arm/test/tester/analyze_output_utils.py' 2025-06-05T19:04:25.0799600Z adding 'executorch/backends/arm/test/tester/arm_tester.py' 2025-06-05T19:04:25.0799890Z adding 'executorch/backends/arm/test/tester/test_pipeline.py' 2025-06-05T19:04:25.0800180Z adding 'executorch/backends/arm/test/tosautil/__init__.py' 2025-06-05T19:04:25.0800500Z adding 'executorch/backends/arm/third-party/serialization_lib/setup.py' 2025-06-05T19:04:25.0800910Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py' 2025-06-05T19:04:25.0801390Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py' 2025-06-05T19:04:25.0801930Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py' 2025-06-05T19:04:25.0802440Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py' 2025-06-05T19:04:25.0802900Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py' 2025-06-05T19:04:25.0803360Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py' 2025-06-05T19:04:25.0803830Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py' 2025-06-05T19:04:25.0804370Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py' 2025-06-05T19:04:25.0804840Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py' 2025-06-05T19:04:25.0805280Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py' 2025-06-05T19:04:25.0805710Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py' 2025-06-05T19:04:25.0806200Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py' 2025-06-05T19:04:25.0806700Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py' 2025-06-05T19:04:25.0807160Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py' 2025-06-05T19:04:25.0807620Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py' 2025-06-05T19:04:25.0808030Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py' 2025-06-05T19:04:25.0808450Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py' 2025-06-05T19:04:25.0808890Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py' 2025-06-05T19:04:25.0809330Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py' 2025-06-05T19:04:25.0809780Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py' 2025-06-05T19:04:25.0810240Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py' 2025-06-05T19:04:25.0810700Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py' 2025-06-05T19:04:25.0811140Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py' 2025-06-05T19:04:25.0811580Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py' 2025-06-05T19:04:25.0812100Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py' 2025-06-05T19:04:25.0812600Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py' 2025-06-05T19:04:25.0813070Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py' 2025-06-05T19:04:25.0813530Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py' 2025-06-05T19:04:25.0814040Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py' 2025-06-05T19:04:25.0814540Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py' 2025-06-05T19:04:25.0819600Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py' 2025-06-05T19:04:25.0820090Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py' 2025-06-05T19:04:25.0820620Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py' 2025-06-05T19:04:25.0821110Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py' 2025-06-05T19:04:25.0821580Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py' 2025-06-05T19:04:25.0822030Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py' 2025-06-05T19:04:25.0822440Z adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs' 2025-06-05T19:04:25.0822870Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py' 2025-06-05T19:04:25.0823320Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py' 2025-06-05T19:04:25.0823780Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py' 2025-06-05T19:04:25.0824350Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml' 2025-06-05T19:04:25.0824920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs' 2025-06-05T19:04:25.0825560Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs' 2025-06-05T19:04:25.0826120Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py' 2025-06-05T19:04:25.0826680Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py' 2025-06-05T19:04:25.0827270Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml' 2025-06-05T19:04:25.0827820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml' 2025-06-05T19:04:25.0828380Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs' 2025-06-05T19:04:25.0828940Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs' 2025-06-05T19:04:25.0829510Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs' 2025-06-05T19:04:25.0830080Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs' 2025-06-05T19:04:25.0830640Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs' 2025-06-05T19:04:25.0831220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py' 2025-06-05T19:04:25.0831790Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py' 2025-06-05T19:04:25.0832350Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py' 2025-06-05T19:04:25.0832920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py' 2025-06-05T19:04:25.0833490Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py' 2025-06-05T19:04:25.0917990Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py' 2025-06-05T19:04:25.0918630Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py' 2025-06-05T19:04:25.0919220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py' 2025-06-05T19:04:25.0919800Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py' 2025-06-05T19:04:25.0920370Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py' 2025-06-05T19:04:25.0920920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py' 2025-06-05T19:04:25.0921480Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py' 2025-06-05T19:04:25.0922030Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py' 2025-06-05T19:04:25.0922570Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py' 2025-06-05T19:04:25.0923130Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py' 2025-06-05T19:04:25.0923680Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py' 2025-06-05T19:04:25.0924230Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py' 2025-06-05T19:04:25.0924880Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs' 2025-06-05T19:04:25.0925440Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py' 2025-06-05T19:04:25.0926000Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py' 2025-06-05T19:04:25.0926560Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs' 2025-06-05T19:04:25.0927170Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py' 2025-06-05T19:04:25.0927820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py' 2025-06-05T19:04:25.0928480Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py' 2025-06-05T19:04:25.0929200Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py' 2025-06-05T19:04:25.0929920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py' 2025-06-05T19:04:25.0930640Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py' 2025-06-05T19:04:25.0931310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs' 2025-06-05T19:04:25.0931900Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py' 2025-06-05T19:04:25.0932520Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py' 2025-06-05T19:04:25.0933200Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py' 2025-06-05T19:04:25.0933840Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py' 2025-06-05T19:04:25.0934510Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py' 2025-06-05T19:04:25.0935240Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py' 2025-06-05T19:04:25.0935980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py' 2025-06-05T19:04:25.0936730Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py' 2025-06-05T19:04:25.0937430Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py' 2025-06-05T19:04:25.0938100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py' 2025-06-05T19:04:25.0938750Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py' 2025-06-05T19:04:25.0939400Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py' 2025-06-05T19:04:25.0940060Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py' 2025-06-05T19:04:25.0940730Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py' 2025-06-05T19:04:25.0941440Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py' 2025-06-05T19:04:25.0942100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py' 2025-06-05T19:04:25.0942740Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py' 2025-06-05T19:04:25.0943410Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py' 2025-06-05T19:04:25.0944150Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py' 2025-06-05T19:04:25.0944850Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py' 2025-06-05T19:04:25.0945500Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py' 2025-06-05T19:04:25.0946240Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py' 2025-06-05T19:04:25.0946960Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py' 2025-06-05T19:04:25.0947640Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py' 2025-06-05T19:04:25.0948310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py' 2025-06-05T19:04:25.0949010Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py' 2025-06-05T19:04:25.0949760Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py' 2025-06-05T19:04:25.0950490Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py' 2025-06-05T19:04:25.0951260Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py' 2025-06-05T19:04:25.0952030Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py' 2025-06-05T19:04:25.0952860Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py' 2025-06-05T19:04:25.0953690Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py' 2025-06-05T19:04:25.0954430Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py' 2025-06-05T19:04:25.0955160Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py' 2025-06-05T19:04:25.0955830Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py' 2025-06-05T19:04:25.0956520Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py' 2025-06-05T19:04:25.0957180Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py' 2025-06-05T19:04:25.0957850Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py' 2025-06-05T19:04:25.0958520Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py' 2025-06-05T19:04:25.0959290Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py' 2025-06-05T19:04:25.0999500Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py' 2025-06-05T19:04:25.1000310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py' 2025-06-05T19:04:25.1001100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py' 2025-06-05T19:04:25.1001860Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py' 2025-06-05T19:04:25.1002560Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py' 2025-06-05T19:04:25.1003230Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py' 2025-06-05T19:04:25.1003930Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py' 2025-06-05T19:04:25.1004650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py' 2025-06-05T19:04:25.1005360Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py' 2025-06-05T19:04:25.1006060Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs' 2025-06-05T19:04:25.1006700Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py' 2025-06-05T19:04:25.1007230Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed' 2025-06-05T19:04:25.1007750Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py' 2025-06-05T19:04:25.1008310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py' 2025-06-05T19:04:25.1008910Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py' 2025-06-05T19:04:25.1009590Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py' 2025-06-05T19:04:25.1010230Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py' 2025-06-05T19:04:25.1010820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py' 2025-06-05T19:04:25.1011420Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py' 2025-06-05T19:04:25.1012050Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py' 2025-06-05T19:04:25.1012650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py' 2025-06-05T19:04:25.1013230Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py' 2025-06-05T19:04:25.1013810Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py' 2025-06-05T19:04:25.1014460Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py' 2025-06-05T19:04:25.1015170Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py' 2025-06-05T19:04:25.1015910Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py' 2025-06-05T19:04:25.1016570Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py' 2025-06-05T19:04:25.1017220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py' 2025-06-05T19:04:25.1017870Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py' 2025-06-05T19:04:25.1018530Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py' 2025-06-05T19:04:25.1019190Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py' 2025-06-05T19:04:25.1019820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py' 2025-06-05T19:04:25.1020460Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py' 2025-06-05T19:04:25.1021100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py' 2025-06-05T19:04:25.1021730Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py' 2025-06-05T19:04:25.1022380Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py' 2025-06-05T19:04:25.1023000Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs' 2025-06-05T19:04:25.1023540Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs' 2025-06-05T19:04:25.1024090Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py' 2025-06-05T19:04:25.1024700Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py' 2025-06-05T19:04:25.1025300Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py' 2025-06-05T19:04:25.1025880Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py' 2025-06-05T19:04:25.1026530Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py' 2025-06-05T19:04:25.1027110Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py' 2025-06-05T19:04:25.1027630Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml' 2025-06-05T19:04:25.1028190Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs' 2025-06-05T19:04:25.1028750Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs' 2025-06-05T19:04:25.1029300Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs' 2025-06-05T19:04:25.1029870Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs' 2025-06-05T19:04:25.1030450Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs' 2025-06-05T19:04:25.1031010Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs' 2025-06-05T19:04:25.1031560Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs' 2025-06-05T19:04:25.1032190Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs' 2025-06-05T19:04:25.1032750Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs' 2025-06-05T19:04:25.1033320Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py' 2025-06-05T19:04:25.1033900Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs' 2025-06-05T19:04:25.1034450Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs' 2025-06-05T19:04:25.1035040Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs' 2025-06-05T19:04:25.1035640Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs' 2025-06-05T19:04:25.1036220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs' 2025-06-05T19:04:25.1036790Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs' 2025-06-05T19:04:25.1037380Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs' 2025-06-05T19:04:25.1037970Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py' 2025-06-05T19:04:25.1038530Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py' 2025-06-05T19:04:25.1039060Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs' 2025-06-05T19:04:25.1039630Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs' 2025-06-05T19:04:25.1040170Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs' 2025-06-05T19:04:25.1040700Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs' 2025-06-05T19:04:25.1150080Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs' 2025-06-05T19:04:25.1150740Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs' 2025-06-05T19:04:25.1151410Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs' 2025-06-05T19:04:25.1152030Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs' 2025-06-05T19:04:25.1152610Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs' 2025-06-05T19:04:25.1153200Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs' 2025-06-05T19:04:25.1153810Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py' 2025-06-05T19:04:25.1154420Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py' 2025-06-05T19:04:25.1154990Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py' 2025-06-05T19:04:25.1155580Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py' 2025-06-05T19:04:25.1156150Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py' 2025-06-05T19:04:25.1156760Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py' 2025-06-05T19:04:25.1157500Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py' 2025-06-05T19:04:25.1158140Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py' 2025-06-05T19:04:25.1158750Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py' 2025-06-05T19:04:25.1159330Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py' 2025-06-05T19:04:25.1159920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py' 2025-06-05T19:04:25.1160500Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py' 2025-06-05T19:04:25.1161100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py' 2025-06-05T19:04:25.1161720Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py' 2025-06-05T19:04:25.1162310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py' 2025-06-05T19:04:25.1162890Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py' 2025-06-05T19:04:25.1163490Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py' 2025-06-05T19:04:25.1164160Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py' 2025-06-05T19:04:25.1164810Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py' 2025-06-05T19:04:25.1165080Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py' 2025-06-05T19:04:25.1165400Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py' 2025-06-05T19:04:25.1165670Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py' 2025-06-05T19:04:25.1165920Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py' 2025-06-05T19:04:25.1166220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py' 2025-06-05T19:04:25.1166540Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py' 2025-06-05T19:04:25.1166820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py' 2025-06-05T19:04:25.1167110Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py' 2025-06-05T19:04:25.1167430Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py' 2025-06-05T19:04:25.1167720Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py' 2025-06-05T19:04:25.1168070Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py' 2025-06-05T19:04:25.1168350Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py' 2025-06-05T19:04:25.1168650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py' 2025-06-05T19:04:25.1168980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py' 2025-06-05T19:04:25.1169250Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py' 2025-06-05T19:04:25.1169540Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs' 2025-06-05T19:04:25.1169830Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs' 2025-06-05T19:04:25.1170140Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py' 2025-06-05T19:04:25.1170410Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs' 2025-06-05T19:04:25.1170690Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs' 2025-06-05T19:04:25.1170960Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs' 2025-06-05T19:04:25.1171210Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py' 2025-06-05T19:04:25.1171480Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py' 2025-06-05T19:04:25.1171740Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py' 2025-06-05T19:04:25.1171980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py' 2025-06-05T19:04:25.1172240Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py' 2025-06-05T19:04:25.1172470Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs' 2025-06-05T19:04:25.1172720Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs' 2025-06-05T19:04:25.1172950Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py' 2025-06-05T19:04:25.1173180Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs' 2025-06-05T19:04:25.1173490Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs' 2025-06-05T19:04:25.1173780Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs' 2025-06-05T19:04:25.1174030Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs' 2025-06-05T19:04:25.1174310Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs' 2025-06-05T19:04:25.1174580Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs' 2025-06-05T19:04:25.1174830Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs' 2025-06-05T19:04:25.1175120Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs' 2025-06-05T19:04:25.1175410Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs' 2025-06-05T19:04:25.1175690Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs' 2025-06-05T19:04:25.1175960Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs' 2025-06-05T19:04:25.1176290Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs' 2025-06-05T19:04:25.1332190Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs' 2025-06-05T19:04:25.1332510Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs' 2025-06-05T19:04:25.1332790Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs' 2025-06-05T19:04:25.1333100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs' 2025-06-05T19:04:25.1333390Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs' 2025-06-05T19:04:25.1333720Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py' 2025-06-05T19:04:25.1334020Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py' 2025-06-05T19:04:25.1334350Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py' 2025-06-05T19:04:25.1334630Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py' 2025-06-05T19:04:25.1334980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py' 2025-06-05T19:04:25.1335320Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py' 2025-06-05T19:04:25.1335660Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py' 2025-06-05T19:04:25.1336000Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py' 2025-06-05T19:04:25.1336330Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py' 2025-06-05T19:04:25.1336620Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py' 2025-06-05T19:04:25.1336980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py' 2025-06-05T19:04:25.1337330Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs' 2025-06-05T19:04:25.1337650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs' 2025-06-05T19:04:25.1337970Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs' 2025-06-05T19:04:25.1338210Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py' 2025-06-05T19:04:25.1338490Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py' 2025-06-05T19:04:25.1338770Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py' 2025-06-05T19:04:25.1339030Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py' 2025-06-05T19:04:25.1339290Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs' 2025-06-05T19:04:25.1339650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs' 2025-06-05T19:04:25.1339930Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs' 2025-06-05T19:04:25.1340220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs' 2025-06-05T19:04:25.1340500Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs' 2025-06-05T19:04:25.1340790Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs' 2025-06-05T19:04:25.1341070Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs' 2025-06-05T19:04:25.1341350Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs' 2025-06-05T19:04:25.1341650Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs' 2025-06-05T19:04:25.1341960Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs' 2025-06-05T19:04:25.1342250Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs' 2025-06-05T19:04:25.1342560Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs' 2025-06-05T19:04:25.1342890Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs' 2025-06-05T19:04:25.1343220Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs' 2025-06-05T19:04:25.1343550Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs' 2025-06-05T19:04:25.1343800Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py' 2025-06-05T19:04:25.1344060Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs' 2025-06-05T19:04:25.1344450Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs' 2025-06-05T19:04:25.1344770Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs' 2025-06-05T19:04:25.1345080Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml' 2025-06-05T19:04:25.1345370Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs' 2025-06-05T19:04:25.1345660Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs' 2025-06-05T19:04:25.1345980Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs' 2025-06-05T19:04:25.1346260Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs' 2025-06-05T19:04:25.1346380Z adding 'executorch/backends/arm/tosa/schemas/tosa_0.80.fbs' 2025-06-05T19:04:25.1346480Z adding 'executorch/backends/arm/tosa/schemas/tosa_1.0.fbs' 2025-06-05T19:04:25.1346590Z adding 'executorch/backends/arm/util/arm_model_evaluator.py' 2025-06-05T19:04:25.1346680Z adding 'executorch/backends/cadence/aot/__init__.py' 2025-06-05T19:04:25.1346830Z adding 'executorch/backends/cadence/aot/compiler.py' 2025-06-05T19:04:25.1346940Z adding 'executorch/backends/cadence/aot/compiler_utils.py' 2025-06-05T19:04:25.1347040Z adding 'executorch/backends/cadence/aot/decompose_ops.py' 2025-06-05T19:04:25.1347150Z adding 'executorch/backends/cadence/aot/export_example.py' 2025-06-05T19:04:25.1347250Z adding 'executorch/backends/cadence/aot/functions.yaml' 2025-06-05T19:04:25.1347380Z adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml' 2025-06-05T19:04:25.1347490Z adding 'executorch/backends/cadence/aot/functions_hifi.yaml' 2025-06-05T19:04:25.1347590Z adding 'executorch/backends/cadence/aot/fuse_ops.py' 2025-06-05T19:04:25.1347690Z adding 'executorch/backends/cadence/aot/graph_builder.py' 2025-06-05T19:04:25.1347810Z adding 'executorch/backends/cadence/aot/memory_constraints.py' 2025-06-05T19:04:25.1347910Z adding 'executorch/backends/cadence/aot/memory_planning.py' 2025-06-05T19:04:25.1348030Z adding 'executorch/backends/cadence/aot/ops_registrations.py' 2025-06-05T19:04:25.1348130Z adding 'executorch/backends/cadence/aot/pass_utils.py' 2025-06-05T19:04:25.1348210Z adding 'executorch/backends/cadence/aot/passes.py' 2025-06-05T19:04:25.1348340Z adding 'executorch/backends/cadence/aot/ref_implementations.py' 2025-06-05T19:04:25.1348430Z adding 'executorch/backends/cadence/aot/remove_ops.py' 2025-06-05T19:04:25.1348530Z adding 'executorch/backends/cadence/aot/reorder_ops.py' 2025-06-05T19:04:25.1348630Z adding 'executorch/backends/cadence/aot/replace_ops.py' 2025-06-05T19:04:25.1348730Z adding 'executorch/backends/cadence/aot/simplify_ops.py' 2025-06-05T19:04:25.1348810Z adding 'executorch/backends/cadence/aot/utils.py' 2025-06-05T19:04:25.1348940Z adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py' 2025-06-05T19:04:25.1349060Z adding 'executorch/backends/cadence/aot/quantizer/patterns.py' 2025-06-05T19:04:25.1349180Z adding 'executorch/backends/cadence/aot/quantizer/quantizer.py' 2025-06-05T19:04:25.1349290Z adding 'executorch/backends/cadence/aot/quantizer/utils.py' 2025-06-05T19:04:25.1349440Z adding 'executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py' 2025-06-05T19:04:25.1349590Z adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py' 2025-06-05T19:04:25.1349720Z adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py' 2025-06-05T19:04:25.1459450Z adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py' 2025-06-05T19:04:25.1459590Z adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py' 2025-06-05T19:04:25.1459950Z adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py' 2025-06-05T19:04:25.1460140Z adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py' 2025-06-05T19:04:25.1460280Z adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py' 2025-06-05T19:04:25.1460460Z adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py' 2025-06-05T19:04:25.1460560Z adding 'executorch/backends/cadence/runtime/__init__.py' 2025-06-05T19:04:25.1460680Z adding 'executorch/backends/cadence/runtime/executor.py' 2025-06-05T19:04:25.1460780Z adding 'executorch/backends/cadence/runtime/runtime.py' 2025-06-05T19:04:25.1460880Z adding 'executorch/backends/cadence/runtime/utils.py' 2025-06-05T19:04:25.1460970Z adding 'executorch/backends/cadence/utils/facto_util.py' 2025-06-05T19:04:25.1461070Z adding 'executorch/backends/cadence/utils/gen_header.py' 2025-06-05T19:04:25.1461190Z adding 'executorch/backends/cadence/utils/post_compilation.py' 2025-06-05T19:04:25.1461290Z adding 'executorch/backends/cadence/utils/FACTO/setup.py' 2025-06-05T19:04:25.1461440Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py' 2025-06-05T19:04:25.1461570Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py' 2025-06-05T19:04:25.1461710Z adding 'executorch/backends/cadence/utils/FACTO/examples/example.py' 2025-06-05T19:04:25.1461970Z adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py' 2025-06-05T19:04:25.1462110Z adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py' 2025-06-05T19:04:25.1462240Z adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py' 2025-06-05T19:04:25.1462390Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py' 2025-06-05T19:04:25.1462570Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py' 2025-06-05T19:04:25.1462750Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py' 2025-06-05T19:04:25.1462930Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py' 2025-06-05T19:04:25.1463110Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py' 2025-06-05T19:04:25.1463280Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py' 2025-06-05T19:04:25.1463440Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py' 2025-06-05T19:04:25.1463610Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py' 2025-06-05T19:04:25.1463790Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py' 2025-06-05T19:04:25.1463960Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py' 2025-06-05T19:04:25.1464150Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py' 2025-06-05T19:04:25.1464320Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py' 2025-06-05T19:04:25.1464490Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py' 2025-06-05T19:04:25.1464650Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py' 2025-06-05T19:04:25.1464820Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py' 2025-06-05T19:04:25.1465000Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py' 2025-06-05T19:04:25.1465190Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py' 2025-06-05T19:04:25.1465370Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py' 2025-06-05T19:04:25.1465530Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py' 2025-06-05T19:04:25.1465710Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py' 2025-06-05T19:04:25.1465870Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py' 2025-06-05T19:04:25.1466090Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py' 2025-06-05T19:04:25.1466290Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py' 2025-06-05T19:04:25.1466420Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py' 2025-06-05T19:04:25.1466570Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py' 2025-06-05T19:04:25.1466710Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py' 2025-06-05T19:04:25.1466860Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py' 2025-06-05T19:04:25.1467040Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py' 2025-06-05T19:04:25.1467240Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py' 2025-06-05T19:04:25.1467450Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py' 2025-06-05T19:04:25.1467650Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py' 2025-06-05T19:04:25.1467830Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py' 2025-06-05T19:04:25.1468020Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py' 2025-06-05T19:04:25.1468200Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py' 2025-06-05T19:04:25.1468430Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py' 2025-06-05T19:04:25.1468610Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py' 2025-06-05T19:04:25.1468770Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py' 2025-06-05T19:04:25.1468960Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py' 2025-06-05T19:04:25.1469160Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py' 2025-06-05T19:04:25.1469340Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py' 2025-06-05T19:04:25.1469520Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py' 2025-06-05T19:04:25.1469700Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py' 2025-06-05T19:04:25.1469810Z adding 'executorch/backends/cortex_m/ops/operators.py' 2025-06-05T19:04:25.1469910Z adding 'executorch/backends/cortex_m/ops/operators.yaml' 2025-06-05T19:04:25.1470060Z adding 'executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py' 2025-06-05T19:04:25.1470190Z adding 'executorch/backends/cortex_m/test/test_replace_quant_nodes.py' 2025-06-05T19:04:25.1470290Z adding 'executorch/backends/example/example_backend.py' 2025-06-05T19:04:25.1470400Z adding 'executorch/backends/example/example_partitioner.py' 2025-06-05T19:04:25.1470510Z adding 'executorch/backends/example/example_quantizer.py' 2025-06-05T19:04:25.1470620Z adding 'executorch/backends/example/test_example_delegate.py' 2025-06-05T19:04:25.1470820Z adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py' 2025-06-05T19:04:25.1471030Z adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py' 2025-06-05T19:04:25.1471200Z adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py' 2025-06-05T19:04:25.1471310Z adding 'executorch/backends/example/example_operators/add.py' 2025-06-05T19:04:25.1471430Z adding 'executorch/backends/example/example_operators/conv2d.py' 2025-06-05T19:04:25.1471560Z adding 'executorch/backends/example/example_operators/conv_relu.py' 2025-06-05T19:04:25.1471690Z adding 'executorch/backends/example/example_operators/dropout.py' 2025-06-05T19:04:25.1471820Z adding 'executorch/backends/example/example_operators/flatten.py' 2025-06-05T19:04:25.1477260Z adding 'executorch/backends/example/example_operators/linear.py' 2025-06-05T19:04:25.1477490Z adding 'executorch/backends/example/example_operators/op_base.py' 2025-06-05T19:04:25.1477650Z adding 'executorch/backends/example/example_operators/ops.py' 2025-06-05T19:04:25.1477770Z adding 'executorch/backends/example/example_operators/utils.py' 2025-06-05T19:04:25.1477850Z adding 'executorch/backends/mediatek/__init__.py' 2025-06-05T19:04:25.1477950Z adding 'executorch/backends/mediatek/partitioner.py' 2025-06-05T19:04:25.1478040Z adding 'executorch/backends/mediatek/preprocess.py' 2025-06-05T19:04:25.1478140Z adding 'executorch/backends/mediatek/_passes/__init__.py' 2025-06-05T19:04:25.1478330Z adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py' 2025-06-05T19:04:25.1478430Z adding 'executorch/backends/mediatek/quantizer/__init__.py' 2025-06-05T19:04:25.1478550Z adding 'executorch/backends/mediatek/quantizer/annotator.py' 2025-06-05T19:04:25.1478650Z adding 'executorch/backends/mediatek/quantizer/qconfig.py' 2025-06-05T19:04:25.1478770Z adding 'executorch/backends/mediatek/quantizer/quantizer.py' 2025-06-05T19:04:25.1478870Z adding 'executorch/backends/nxp/neutron_node_extraction.py' 2025-06-05T19:04:25.1478980Z adding 'executorch/backends/nxp/neutron_partitioner.py' 2025-06-05T19:04:25.1479080Z adding 'executorch/backends/nxp/neutron_pass_manager.py' 2025-06-05T19:04:25.1479160Z adding 'executorch/backends/nxp/nxp_backend.py' 2025-06-05T19:04:25.1479400Z adding 'executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py' 2025-06-05T19:04:25.1479570Z adding 'executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py' 2025-06-05T19:04:25.1479730Z adding 'executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py' 2025-06-05T19:04:25.1479830Z adding 'executorch/backends/nxp/backend/edge_helper.py' 2025-06-05T19:04:25.1479960Z adding 'executorch/backends/nxp/backend/edge_program_converter.py' 2025-06-05T19:04:25.1480100Z adding 'executorch/backends/nxp/backend/neutron_converter_manager.py' 2025-06-05T19:04:25.1480230Z adding 'executorch/backends/nxp/backend/node_format_inference.py' 2025-06-05T19:04:25.1480350Z adding 'executorch/backends/nxp/backend/ir/conversion_config.py' 2025-06-05T19:04:25.1480480Z adding 'executorch/backends/nxp/backend/ir/conversion_context.py' 2025-06-05T19:04:25.1480570Z adding 'executorch/backends/nxp/backend/ir/logger.py' 2025-06-05T19:04:25.1480700Z adding 'executorch/backends/nxp/backend/ir/tensor_formatting.py' 2025-06-05T19:04:25.1480820Z adding 'executorch/backends/nxp/backend/ir/converter/__init__.py' 2025-06-05T19:04:25.1480970Z adding 'executorch/backends/nxp/backend/ir/converter/node_converter.py' 2025-06-05T19:04:25.1481120Z adding 'executorch/backends/nxp/backend/ir/converter/quantization_utils.py' 2025-06-05T19:04:25.1481260Z adding 'executorch/backends/nxp/backend/ir/converter/tensor_utils.py' 2025-06-05T19:04:25.1481400Z adding 'executorch/backends/nxp/backend/ir/converter/builder/__init__.py' 2025-06-05T19:04:25.1570640Z adding 'executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py' 2025-06-05T19:04:25.1570830Z adding 'executorch/backends/nxp/backend/ir/converter/builder/model_builder.py' 2025-06-05T19:04:25.1571640Z adding 'executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py' 2025-06-05T19:04:25.1571810Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/__init__.py' 2025-06-05T19:04:25.1571980Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py' 2025-06-05T19:04:25.1572140Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/common.py' 2025-06-05T19:04:25.1572320Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/translator.py' 2025-06-05T19:04:25.1572500Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py' 2025-06-05T19:04:25.1572710Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py' 2025-06-05T19:04:25.1573080Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py' 2025-06-05T19:04:25.1573390Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py' 2025-06-05T19:04:25.1573650Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py' 2025-06-05T19:04:25.1573900Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py' 2025-06-05T19:04:25.1574150Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py' 2025-06-05T19:04:25.1574370Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py' 2025-06-05T19:04:25.1574620Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py' 2025-06-05T19:04:25.1574900Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py' 2025-06-05T19:04:25.1575150Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py' 2025-06-05T19:04:25.1575370Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py' 2025-06-05T19:04:25.1575710Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py' 2025-06-05T19:04:25.1575950Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py' 2025-06-05T19:04:25.1576140Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py' 2025-06-05T19:04:25.1576350Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py' 2025-06-05T19:04:25.1576550Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py' 2025-06-05T19:04:25.1576780Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py' 2025-06-05T19:04:25.1576890Z adding 'executorch/backends/nxp/backend/ir/lib/__init__.py' 2025-06-05T19:04:25.1577040Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py' 2025-06-05T19:04:25.1577170Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py' 2025-06-05T19:04:25.1577350Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py' 2025-06-05T19:04:25.1577480Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py' 2025-06-05T19:04:25.1577620Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py' 2025-06-05T19:04:25.1577760Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py' 2025-06-05T19:04:25.1577900Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py' 2025-06-05T19:04:25.1578070Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py' 2025-06-05T19:04:25.1578230Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py' 2025-06-05T19:04:25.1578400Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py' 2025-06-05T19:04:25.1578610Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py' 2025-06-05T19:04:25.1578810Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py' 2025-06-05T19:04:25.1578970Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py' 2025-06-05T19:04:25.1579120Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py' 2025-06-05T19:04:25.1579280Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py' 2025-06-05T19:04:25.1579430Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py' 2025-06-05T19:04:25.1579550Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py' 2025-06-05T19:04:25.1579770Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py' 2025-06-05T19:04:25.1579940Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py' 2025-06-05T19:04:25.1580090Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py' 2025-06-05T19:04:25.1580240Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py' 2025-06-05T19:04:25.1580370Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py' 2025-06-05T19:04:25.1580510Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py' 2025-06-05T19:04:25.1580650Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py' 2025-06-05T19:04:25.1580830Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py' 2025-06-05T19:04:25.1581000Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py' 2025-06-05T19:04:25.1581140Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py' 2025-06-05T19:04:25.1581280Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py' 2025-06-05T19:04:25.1581420Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py' 2025-06-05T19:04:25.1581560Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py' 2025-06-05T19:04:25.1581720Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py' 2025-06-05T19:04:25.1581960Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py' 2025-06-05T19:04:25.1582110Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py' 2025-06-05T19:04:25.1582270Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py' 2025-06-05T19:04:25.1582440Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py' 2025-06-05T19:04:25.1582600Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py' 2025-06-05T19:04:25.1582740Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py' 2025-06-05T19:04:25.1582900Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py' 2025-06-05T19:04:25.1583040Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py' 2025-06-05T19:04:25.1583170Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py' 2025-06-05T19:04:25.1583360Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py' 2025-06-05T19:04:25.1583550Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py' 2025-06-05T19:04:25.1583690Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py' 2025-06-05T19:04:25.1583830Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py' 2025-06-05T19:04:25.1583980Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py' 2025-06-05T19:04:25.1584130Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py' 2025-06-05T19:04:25.1584270Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py' 2025-06-05T19:04:25.1584420Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py' 2025-06-05T19:04:25.1584570Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py' 2025-06-05T19:04:25.1584740Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py' 2025-06-05T19:04:25.1584960Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py' 2025-06-05T19:04:25.1585110Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py' 2025-06-05T19:04:25.1585250Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py' 2025-06-05T19:04:25.1585380Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py' 2025-06-05T19:04:25.1585550Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py' 2025-06-05T19:04:25.1585690Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py' 2025-06-05T19:04:25.1585880Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py' 2025-06-05T19:04:25.1586070Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py' 2025-06-05T19:04:25.1586250Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py' 2025-06-05T19:04:25.1586390Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py' 2025-06-05T19:04:25.1586560Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py' 2025-06-05T19:04:25.1586700Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py' 2025-06-05T19:04:25.1586830Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py' 2025-06-05T19:04:25.1586970Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py' 2025-06-05T19:04:25.1587140Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py' 2025-06-05T19:04:25.1587300Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py' 2025-06-05T19:04:25.1587440Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py' 2025-06-05T19:04:25.1587580Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py' 2025-06-05T19:04:25.1587730Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py' 2025-06-05T19:04:25.1587930Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py' 2025-06-05T19:04:25.1588070Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py' 2025-06-05T19:04:25.1588280Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py' 2025-06-05T19:04:25.1588440Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py' 2025-06-05T19:04:25.1664550Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py' 2025-06-05T19:04:25.1664720Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py' 2025-06-05T19:04:25.1664890Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py' 2025-06-05T19:04:25.1665050Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py' 2025-06-05T19:04:25.1665220Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py' 2025-06-05T19:04:25.1665390Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py' 2025-06-05T19:04:25.1665530Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py' 2025-06-05T19:04:25.1665670Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py' 2025-06-05T19:04:25.1665830Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py' 2025-06-05T19:04:25.1665950Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Model.py' 2025-06-05T19:04:25.1666080Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py' 2025-06-05T19:04:25.1666210Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py' 2025-06-05T19:04:25.1666400Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py' 2025-06-05T19:04:25.1666600Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py' 2025-06-05T19:04:25.1666750Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py' 2025-06-05T19:04:25.1666890Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py' 2025-06-05T19:04:25.1667020Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Operator.py' 2025-06-05T19:04:25.1667160Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py' 2025-06-05T19:04:25.1667300Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py' 2025-06-05T19:04:25.1667430Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py' 2025-06-05T19:04:25.1667570Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py' 2025-06-05T19:04:25.1667700Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Padding.py' 2025-06-05T19:04:25.1667920Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py' 2025-06-05T19:04:25.1668080Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py' 2025-06-05T19:04:25.1668250Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py' 2025-06-05T19:04:25.1668420Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py' 2025-06-05T19:04:25.1668580Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py' 2025-06-05T19:04:25.1668720Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py' 2025-06-05T19:04:25.1668870Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py' 2025-06-05T19:04:25.1669000Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py' 2025-06-05T19:04:25.1669140Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py' 2025-06-05T19:04:25.1669300Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py' 2025-06-05T19:04:25.1669470Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py' 2025-06-05T19:04:25.1669630Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py' 2025-06-05T19:04:25.1669780Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py' 2025-06-05T19:04:25.1670020Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py' 2025-06-05T19:04:25.1670190Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py' 2025-06-05T19:04:25.1670390Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py' 2025-06-05T19:04:25.1670560Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py' 2025-06-05T19:04:25.1670710Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py' 2025-06-05T19:04:25.1670860Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py' 2025-06-05T19:04:25.1671010Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py' 2025-06-05T19:04:25.1671150Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py' 2025-06-05T19:04:25.1671290Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py' 2025-06-05T19:04:25.1671440Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py' 2025-06-05T19:04:25.1671590Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py' 2025-06-05T19:04:25.1671730Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py' 2025-06-05T19:04:25.1671870Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py' 2025-06-05T19:04:25.1672030Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py' 2025-06-05T19:04:25.1672160Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py' 2025-06-05T19:04:25.1672290Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py' 2025-06-05T19:04:25.1672430Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py' 2025-06-05T19:04:25.1672580Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py' 2025-06-05T19:04:25.1672720Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py' 2025-06-05T19:04:25.1672860Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py' 2025-06-05T19:04:25.1673030Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py' 2025-06-05T19:04:25.1673200Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py' 2025-06-05T19:04:25.1673350Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py' 2025-06-05T19:04:25.1673510Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py' 2025-06-05T19:04:25.1673660Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py' 2025-06-05T19:04:25.1673790Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py' 2025-06-05T19:04:25.1674040Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py' 2025-06-05T19:04:25.1674180Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py' 2025-06-05T19:04:25.1674360Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py' 2025-06-05T19:04:25.1674510Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py' 2025-06-05T19:04:25.1674710Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py' 2025-06-05T19:04:25.1674890Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py' 2025-06-05T19:04:25.1675080Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py' 2025-06-05T19:04:25.1675260Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py' 2025-06-05T19:04:25.1675450Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py' 2025-06-05T19:04:25.1675640Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py' 2025-06-05T19:04:25.1675820Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py' 2025-06-05T19:04:25.1676010Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py' 2025-06-05T19:04:25.1676240Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py' 2025-06-05T19:04:25.1676410Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py' 2025-06-05T19:04:25.1676580Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py' 2025-06-05T19:04:25.1676740Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py' 2025-06-05T19:04:25.1676920Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py' 2025-06-05T19:04:25.1677090Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py' 2025-06-05T19:04:25.1677290Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py' 2025-06-05T19:04:25.1677490Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py' 2025-06-05T19:04:25.1677660Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py' 2025-06-05T19:04:25.1677830Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py' 2025-06-05T19:04:25.1678000Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py' 2025-06-05T19:04:25.1678180Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py' 2025-06-05T19:04:25.1678350Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py' 2025-06-05T19:04:25.1678510Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py' 2025-06-05T19:04:25.1678640Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py' 2025-06-05T19:04:25.1678780Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py' 2025-06-05T19:04:25.1678900Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py' 2025-06-05T19:04:25.1679030Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py' 2025-06-05T19:04:25.1679150Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py' 2025-06-05T19:04:25.1679290Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py' 2025-06-05T19:04:25.1679430Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py' 2025-06-05T19:04:25.1679600Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py' 2025-06-05T19:04:25.1679750Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py' 2025-06-05T19:04:25.1679890Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py' 2025-06-05T19:04:25.1680020Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py' 2025-06-05T19:04:25.1680280Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py' 2025-06-05T19:04:25.1680450Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py' 2025-06-05T19:04:25.1680590Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py' 2025-06-05T19:04:25.1680770Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py' 2025-06-05T19:04:25.1680940Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py' 2025-06-05T19:04:25.1681120Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py' 2025-06-05T19:04:25.1681290Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py' 2025-06-05T19:04:25.1815330Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py' 2025-06-05T19:04:25.1815590Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py' 2025-06-05T19:04:25.1815740Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py' 2025-06-05T19:04:25.1815880Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py' 2025-06-05T19:04:25.1816040Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py' 2025-06-05T19:04:25.1816170Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/__init__.py' 2025-06-05T19:04:25.1816450Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/__init__.py' 2025-06-05T19:04:25.1816610Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py' 2025-06-05T19:04:25.1816800Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py' 2025-06-05T19:04:25.1816990Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py' 2025-06-05T19:04:25.1817200Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py' 2025-06-05T19:04:25.1817390Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py' 2025-06-05T19:04:25.1817600Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py' 2025-06-05T19:04:25.1817800Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py' 2025-06-05T19:04:25.1818020Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py' 2025-06-05T19:04:25.1818250Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py' 2025-06-05T19:04:25.1818510Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py' 2025-06-05T19:04:25.1818770Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py' 2025-06-05T19:04:25.1819010Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py' 2025-06-05T19:04:25.1819230Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py' 2025-06-05T19:04:25.1819420Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py' 2025-06-05T19:04:25.1819650Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py' 2025-06-05T19:04:25.1819850Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py' 2025-06-05T19:04:25.1820050Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py' 2025-06-05T19:04:25.1820250Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py' 2025-06-05T19:04:25.1820480Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py' 2025-06-05T19:04:25.1820700Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py' 2025-06-05T19:04:25.1820990Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py' 2025-06-05T19:04:25.1821230Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py' 2025-06-05T19:04:25.1821430Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py' 2025-06-05T19:04:25.1821620Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py' 2025-06-05T19:04:25.1821840Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py' 2025-06-05T19:04:25.1822050Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py' 2025-06-05T19:04:25.1822250Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py' 2025-06-05T19:04:25.1822450Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py' 2025-06-05T19:04:25.1822640Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py' 2025-06-05T19:04:25.1822870Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py' 2025-06-05T19:04:25.1823070Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py' 2025-06-05T19:04:25.1823340Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py' 2025-06-05T19:04:25.1823550Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py' 2025-06-05T19:04:25.1823760Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py' 2025-06-05T19:04:25.1823940Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py' 2025-06-05T19:04:25.1824150Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py' 2025-06-05T19:04:25.1824360Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py' 2025-06-05T19:04:25.1824580Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py' 2025-06-05T19:04:25.1824790Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py' 2025-06-05T19:04:25.1824990Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py' 2025-06-05T19:04:25.1825180Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py' 2025-06-05T19:04:25.1825400Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py' 2025-06-05T19:04:25.1825590Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py' 2025-06-05T19:04:25.1825780Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py' 2025-06-05T19:04:25.1825980Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py' 2025-06-05T19:04:25.1826180Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py' 2025-06-05T19:04:25.1826370Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py' 2025-06-05T19:04:25.1826580Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py' 2025-06-05T19:04:25.1826770Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py' 2025-06-05T19:04:25.1826970Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py' 2025-06-05T19:04:25.1827160Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py' 2025-06-05T19:04:25.1827350Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py' 2025-06-05T19:04:25.1827580Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py' 2025-06-05T19:04:25.1827780Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py' 2025-06-05T19:04:25.1827980Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py' 2025-06-05T19:04:25.1828180Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py' 2025-06-05T19:04:25.1828380Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py' 2025-06-05T19:04:25.1828590Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py' 2025-06-05T19:04:25.1828810Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py' 2025-06-05T19:04:25.1829010Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py' 2025-06-05T19:04:25.1829240Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py' 2025-06-05T19:04:25.1829490Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py' 2025-06-05T19:04:25.1829710Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py' 2025-06-05T19:04:25.1829980Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py' 2025-06-05T19:04:25.1830190Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py' 2025-06-05T19:04:25.1830390Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py' 2025-06-05T19:04:25.1830590Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py' 2025-06-05T19:04:25.1830780Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py' 2025-06-05T19:04:25.1830980Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py' 2025-06-05T19:04:25.1831200Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py' 2025-06-05T19:04:25.1831400Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py' 2025-06-05T19:04:25.1831600Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py' 2025-06-05T19:04:25.1831800Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py' 2025-06-05T19:04:25.1832040Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py' 2025-06-05T19:04:25.1832240Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py' 2025-06-05T19:04:25.1832460Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py' 2025-06-05T19:04:25.1832660Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py' 2025-06-05T19:04:25.1832850Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py' 2025-06-05T19:04:25.2025480Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py' 2025-06-05T19:04:25.2025740Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py' 2025-06-05T19:04:25.2025980Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py' 2025-06-05T19:04:25.2026260Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py' 2025-06-05T19:04:25.2026530Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py' 2025-06-05T19:04:25.2026900Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py' 2025-06-05T19:04:25.2027120Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py' 2025-06-05T19:04:25.2027270Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py' 2025-06-05T19:04:25.2027420Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py' 2025-06-05T19:04:25.2027570Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py' 2025-06-05T19:04:25.2027720Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py' 2025-06-05T19:04:25.2027910Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py' 2025-06-05T19:04:25.2028060Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py' 2025-06-05T19:04:25.2028220Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py' 2025-06-05T19:04:25.2028370Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py' 2025-06-05T19:04:25.2028560Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py' 2025-06-05T19:04:25.2028770Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py' 2025-06-05T19:04:25.2029050Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py' 2025-06-05T19:04:25.2029380Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py' 2025-06-05T19:04:25.2029610Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py' 2025-06-05T19:04:25.2029880Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py' 2025-06-05T19:04:25.2030130Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py' 2025-06-05T19:04:25.2030340Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py' 2025-06-05T19:04:25.2030570Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py' 2025-06-05T19:04:25.2030870Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py' 2025-06-05T19:04:25.2031080Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py' 2025-06-05T19:04:25.2031310Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py' 2025-06-05T19:04:25.2031530Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py' 2025-06-05T19:04:25.2031760Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py' 2025-06-05T19:04:25.2032010Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py' 2025-06-05T19:04:25.2032320Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py' 2025-06-05T19:04:25.2032440Z adding 'executorch/backends/nxp/quantizer/neutron_quantizer.py' 2025-06-05T19:04:25.2032540Z adding 'executorch/backends/nxp/quantizer/patterns.py' 2025-06-05T19:04:25.2032630Z adding 'executorch/backends/nxp/quantizer/utils.py' 2025-06-05T19:04:25.2032750Z adding 'executorch/backends/nxp/tests/executorch_pipeline.py' 2025-06-05T19:04:25.2032840Z adding 'executorch/backends/nxp/tests/executors.py' 2025-06-05T19:04:25.2032980Z adding 'executorch/backends/nxp/tests/exported_program_vizualize.py' 2025-06-05T19:04:25.2033060Z adding 'executorch/backends/nxp/tests/models.py' 2025-06-05T19:04:25.2033180Z adding 'executorch/backends/nxp/tests/test_batch_norm_fusion.py' 2025-06-05T19:04:25.2033300Z adding 'executorch/backends/nxp/tests/test_neutron_backend.py' 2025-06-05T19:04:25.2033490Z adding 'executorch/backends/nxp/tests/test_neutron_converter_manager.py' 2025-06-05T19:04:25.2033650Z adding 'executorch/backends/nxp/tests/test_node_format_inference.py' 2025-06-05T19:04:25.2033770Z adding 'executorch/backends/nxp/tests/test_operator_selector.py' 2025-06-05T19:04:25.2033890Z adding 'executorch/backends/nxp/tests/test_qdq_clustering_conv.py' 2025-06-05T19:04:25.2033990Z adding 'executorch/backends/nxp/tests/test_quantizer.py' 2025-06-05T19:04:25.2034210Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py' 2025-06-05T19:04:25.2034430Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py' 2025-06-05T19:04:25.2034620Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py' 2025-06-05T19:04:25.2034820Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py' 2025-06-05T19:04:25.2035030Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py' 2025-06-05T19:04:25.2035250Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py' 2025-06-05T19:04:25.2035440Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py' 2025-06-05T19:04:25.2035640Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py' 2025-06-05T19:04:25.2035910Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py' 2025-06-05T19:04:25.2036000Z adding 'executorch/backends/openvino/__init__.py' 2025-06-05T19:04:25.2036090Z adding 'executorch/backends/openvino/partitioner.py' 2025-06-05T19:04:25.2036180Z adding 'executorch/backends/openvino/preprocess.py' 2025-06-05T19:04:25.2036290Z adding 'executorch/backends/openvino/quantizer/__init__.py' 2025-06-05T19:04:25.2036400Z adding 'executorch/backends/openvino/quantizer/quantizer.py' 2025-06-05T19:04:25.2036510Z adding 'executorch/backends/openvino/tests/test_runner.py' 2025-06-05T19:04:25.2036660Z adding 'executorch/backends/openvino/tests/models/test_classification.py' 2025-06-05T19:04:25.2036810Z adding 'executorch/backends/openvino/tests/ops/base_openvino_op_test.py' 2025-06-05T19:04:25.2036920Z adding 'executorch/backends/openvino/tests/ops/test_add.py' 2025-06-05T19:04:25.2037030Z adding 'executorch/backends/openvino/tests/ops/test_addmm.py' 2025-06-05T19:04:25.2037140Z adding 'executorch/backends/openvino/tests/ops/test_arange.py' 2025-06-05T19:04:25.2037270Z adding 'executorch/backends/openvino/tests/ops/test_batch_norm.py' 2025-06-05T19:04:25.2037400Z adding 'executorch/backends/openvino/tests/ops/test_convolution.py' 2025-06-05T19:04:25.2037510Z adding 'executorch/backends/openvino/tests/ops/test_mean.py' 2025-06-05T19:04:25.2037630Z adding 'executorch/backends/openvino/tests/ops/test_permute.py' 2025-06-05T19:04:25.2037750Z adding 'executorch/backends/openvino/tests/ops/test_pooling.py' 2025-06-05T19:04:25.2037880Z adding 'executorch/backends/openvino/tests/ops/test_unary_ops.py' 2025-06-05T19:04:25.2037990Z adding 'executorch/backends/openvino/tests/ops/test_view.py' 2025-06-05T19:04:25.2038090Z adding 'executorch/backends/qualcomm/qnn_preprocess.py' 2025-06-05T19:04:25.2038190Z adding 'executorch/backends/qualcomm/_passes/__init__.py' 2025-06-05T19:04:25.2038350Z adding 'executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py' 2025-06-05T19:04:25.2038480Z adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py' 2025-06-05T19:04:25.2038600Z adding 'executorch/backends/qualcomm/_passes/annotate_stack.py' 2025-06-05T19:04:25.2038720Z adding 'executorch/backends/qualcomm/_passes/annotate_unbind.py' 2025-06-05T19:04:25.2038860Z adding 'executorch/backends/qualcomm/_passes/build_quant_io.py' 2025-06-05T19:04:25.2039000Z adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py' 2025-06-05T19:04:25.2039150Z adding 'executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py' 2025-06-05T19:04:25.2039320Z adding 'executorch/backends/qualcomm/_passes/convert_square_to_pow.py' 2025-06-05T19:04:25.2039470Z adding 'executorch/backends/qualcomm/_passes/decompose_any.py' 2025-06-05T19:04:25.2039590Z adding 'executorch/backends/qualcomm/_passes/decompose_cdist.py' 2025-06-05T19:04:25.2039710Z adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py' 2025-06-05T19:04:25.2039830Z adding 'executorch/backends/qualcomm/_passes/decompose_expm1.py' 2025-06-05T19:04:25.2039990Z adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py' 2025-06-05T19:04:25.2040100Z adding 'executorch/backends/qualcomm/_passes/decompose_roll.py' 2025-06-05T19:04:25.2040220Z adding 'executorch/backends/qualcomm/_passes/decompose_silu.py' 2025-06-05T19:04:25.2040380Z adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py' 2025-06-05T19:04:25.2040520Z adding 'executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py' 2025-06-05T19:04:25.2040620Z adding 'executorch/backends/qualcomm/_passes/fold_qdq.py' 2025-06-05T19:04:25.2040750Z adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py' 2025-06-05T19:04:25.2040900Z adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py' 2025-06-05T19:04:25.2041010Z adding 'executorch/backends/qualcomm/_passes/i64_to_i32.py' 2025-06-05T19:04:25.2041180Z adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py' 2025-06-05T19:04:25.2041310Z adding 'executorch/backends/qualcomm/_passes/insert_requantize.py' 2025-06-05T19:04:25.2041430Z adding 'executorch/backends/qualcomm/_passes/layout_transform.py' 2025-06-05T19:04:25.2041590Z adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py' 2025-06-05T19:04:25.2041710Z adding 'executorch/backends/qualcomm/_passes/qnn_pass_manager.py' 2025-06-05T19:04:25.2041860Z adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py' 2025-06-05T19:04:25.2041980Z adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py' 2025-06-05T19:04:25.2042110Z adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py' 2025-06-05T19:04:25.2042230Z adding 'executorch/backends/qualcomm/_passes/remove_0d_tensor.py' 2025-06-05T19:04:25.2188270Z adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py' 2025-06-05T19:04:25.2188430Z adding 'executorch/backends/qualcomm/_passes/replace_arange_args.py' 2025-06-05T19:04:25.2188590Z adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py' 2025-06-05T19:04:25.2188720Z adding 'executorch/backends/qualcomm/_passes/replace_inf_values.py' 2025-06-05T19:04:25.2188840Z adding 'executorch/backends/qualcomm/_passes/tag_quant_io.py' 2025-06-05T19:04:25.2188940Z adding 'executorch/backends/qualcomm/_passes/utils.py' 2025-06-05T19:04:25.2189040Z adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs' 2025-06-05T19:04:25.2189140Z adding 'executorch/backends/qualcomm/builders/__init__.py' 2025-06-05T19:04:25.2189270Z adding 'executorch/backends/qualcomm/builders/node_visitor.py' 2025-06-05T19:04:25.2189380Z adding 'executorch/backends/qualcomm/builders/op_abs.py' 2025-06-05T19:04:25.2189530Z adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py' 2025-06-05T19:04:25.2189630Z adding 'executorch/backends/qualcomm/builders/op_add.py' 2025-06-05T19:04:25.2189730Z adding 'executorch/backends/qualcomm/builders/op_amax.py' 2025-06-05T19:04:25.2189830Z adding 'executorch/backends/qualcomm/builders/op_and.py' 2025-06-05T19:04:25.2189940Z adding 'executorch/backends/qualcomm/builders/op_arange.py' 2025-06-05T19:04:25.2190040Z adding 'executorch/backends/qualcomm/builders/op_argmin.py' 2025-06-05T19:04:25.2190160Z adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py' 2025-06-05T19:04:25.2190280Z adding 'executorch/backends/qualcomm/builders/op_batch_norm.py' 2025-06-05T19:04:25.2190380Z adding 'executorch/backends/qualcomm/builders/op_bmm.py' 2025-06-05T19:04:25.2190580Z adding 'executorch/backends/qualcomm/builders/op_cat.py' 2025-06-05T19:04:25.2190730Z adding 'executorch/backends/qualcomm/builders/op_ceil.py' 2025-06-05T19:04:25.2190830Z adding 'executorch/backends/qualcomm/builders/op_clamp.py' 2025-06-05T19:04:25.2190940Z adding 'executorch/backends/qualcomm/builders/op_conv2d.py' 2025-06-05T19:04:25.2191040Z adding 'executorch/backends/qualcomm/builders/op_cos.py' 2025-06-05T19:04:25.2191150Z adding 'executorch/backends/qualcomm/builders/op_cum_sum.py' 2025-06-05T19:04:25.2191290Z adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py' 2025-06-05T19:04:25.2191410Z adding 'executorch/backends/qualcomm/builders/op_dequantize.py' 2025-06-05T19:04:25.2191510Z adding 'executorch/backends/qualcomm/builders/op_div.py' 2025-06-05T19:04:25.2191610Z adding 'executorch/backends/qualcomm/builders/op_elu.py' 2025-06-05T19:04:25.2191720Z adding 'executorch/backends/qualcomm/builders/op_embedding.py' 2025-06-05T19:04:25.2191820Z adding 'executorch/backends/qualcomm/builders/op_eq.py' 2025-06-05T19:04:25.2191920Z adding 'executorch/backends/qualcomm/builders/op_exp.py' 2025-06-05T19:04:25.2192030Z adding 'executorch/backends/qualcomm/builders/op_expand.py' 2025-06-05T19:04:25.2192130Z adding 'executorch/backends/qualcomm/builders/op_full.py' 2025-06-05T19:04:25.2192240Z adding 'executorch/backends/qualcomm/builders/op_full_like.py' 2025-06-05T19:04:25.2192460Z adding 'executorch/backends/qualcomm/builders/op_gather.py' 2025-06-05T19:04:25.2192570Z adding 'executorch/backends/qualcomm/builders/op_ge.py' 2025-06-05T19:04:25.2192670Z adding 'executorch/backends/qualcomm/builders/op_gelu.py' 2025-06-05T19:04:25.2192790Z adding 'executorch/backends/qualcomm/builders/op_group_norm.py' 2025-06-05T19:04:25.2192890Z adding 'executorch/backends/qualcomm/builders/op_gt.py' 2025-06-05T19:04:25.2193010Z adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py' 2025-06-05T19:04:25.2193120Z adding 'executorch/backends/qualcomm/builders/op_hardswish.py' 2025-06-05T19:04:25.2193230Z adding 'executorch/backends/qualcomm/builders/op_hardtanh.py' 2025-06-05T19:04:25.2193340Z adding 'executorch/backends/qualcomm/builders/op_index.py' 2025-06-05T19:04:25.2193440Z adding 'executorch/backends/qualcomm/builders/op_index_put.py' 2025-06-05T19:04:25.2193560Z adding 'executorch/backends/qualcomm/builders/op_instance_norm.py' 2025-06-05T19:04:25.2193680Z adding 'executorch/backends/qualcomm/builders/op_layer_norm.py' 2025-06-05T19:04:25.2193770Z adding 'executorch/backends/qualcomm/builders/op_le.py' 2025-06-05T19:04:25.2193870Z adding 'executorch/backends/qualcomm/builders/op_linear.py' 2025-06-05T19:04:25.2193960Z adding 'executorch/backends/qualcomm/builders/op_log.py' 2025-06-05T19:04:25.2194080Z adding 'executorch/backends/qualcomm/builders/op_log_softmax.py' 2025-06-05T19:04:25.2194200Z adding 'executorch/backends/qualcomm/builders/op_logical_not.py' 2025-06-05T19:04:25.2194290Z adding 'executorch/backends/qualcomm/builders/op_lt.py' 2025-06-05T19:04:25.2194390Z adding 'executorch/backends/qualcomm/builders/op_matmul.py' 2025-06-05T19:04:25.2194500Z adding 'executorch/backends/qualcomm/builders/op_max.py' 2025-06-05T19:04:25.2194620Z adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py' 2025-06-05T19:04:25.2194730Z adding 'executorch/backends/qualcomm/builders/op_mean_dim.py' 2025-06-05T19:04:25.2194830Z adding 'executorch/backends/qualcomm/builders/op_min.py' 2025-06-05T19:04:25.2194920Z adding 'executorch/backends/qualcomm/builders/op_mul.py' 2025-06-05T19:04:25.2195020Z adding 'executorch/backends/qualcomm/builders/op_ne.py' 2025-06-05T19:04:25.2195110Z adding 'executorch/backends/qualcomm/builders/op_neg.py' 2025-06-05T19:04:25.2195210Z adding 'executorch/backends/qualcomm/builders/op_or.py' 2025-06-05T19:04:25.2195310Z adding 'executorch/backends/qualcomm/builders/op_pad.py' 2025-06-05T19:04:25.2195400Z adding 'executorch/backends/qualcomm/builders/op_pow.py' 2025-06-05T19:04:25.2195580Z adding 'executorch/backends/qualcomm/builders/op_prelu.py' 2025-06-05T19:04:25.2195730Z adding 'executorch/backends/qualcomm/builders/op_quantize.py' 2025-06-05T19:04:25.2195830Z adding 'executorch/backends/qualcomm/builders/op_relu.py' 2025-06-05T19:04:25.2195940Z adding 'executorch/backends/qualcomm/builders/op_repeat.py' 2025-06-05T19:04:25.2196050Z adding 'executorch/backends/qualcomm/builders/op_reshape.py' 2025-06-05T19:04:25.2196160Z adding 'executorch/backends/qualcomm/builders/op_resize.py' 2025-06-05T19:04:25.2196270Z adding 'executorch/backends/qualcomm/builders/op_rms_norm.py' 2025-06-05T19:04:25.2196370Z adding 'executorch/backends/qualcomm/builders/op_rsqrt.py' 2025-06-05T19:04:25.2196500Z adding 'executorch/backends/qualcomm/builders/op_scalar_tensor.py' 2025-06-05T19:04:25.2196620Z adding 'executorch/backends/qualcomm/builders/op_select_copy.py' 2025-06-05T19:04:25.2196730Z adding 'executorch/backends/qualcomm/builders/op_sigmoid.py' 2025-06-05T19:04:25.2196830Z adding 'executorch/backends/qualcomm/builders/op_sin.py' 2025-06-05T19:04:25.2231190Z adding 'executorch/backends/qualcomm/builders/op_skip_ops.py' 2025-06-05T19:04:25.2231360Z adding 'executorch/backends/qualcomm/builders/op_slice_copy.py' 2025-06-05T19:04:25.2231500Z adding 'executorch/backends/qualcomm/builders/op_softmax.py' 2025-06-05T19:04:25.2231660Z adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py' 2025-06-05T19:04:25.2231940Z adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py' 2025-06-05T19:04:25.2232040Z adding 'executorch/backends/qualcomm/builders/op_sqrt.py' 2025-06-05T19:04:25.2232170Z adding 'executorch/backends/qualcomm/builders/op_squeeze.py' 2025-06-05T19:04:25.2232290Z adding 'executorch/backends/qualcomm/builders/op_stack.py' 2025-06-05T19:04:25.2232390Z adding 'executorch/backends/qualcomm/builders/op_sub.py' 2025-06-05T19:04:25.2232530Z adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py' 2025-06-05T19:04:25.2232640Z adding 'executorch/backends/qualcomm/builders/op_tanh.py' 2025-06-05T19:04:25.2232750Z adding 'executorch/backends/qualcomm/builders/op_to.py' 2025-06-05T19:04:25.2232860Z adding 'executorch/backends/qualcomm/builders/op_topk.py' 2025-06-05T19:04:25.2233050Z adding 'executorch/backends/qualcomm/builders/op_transpose.py' 2025-06-05T19:04:25.2233160Z adding 'executorch/backends/qualcomm/builders/op_unbind.py' 2025-06-05T19:04:25.2233280Z adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py' 2025-06-05T19:04:25.2233430Z adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py' 2025-06-05T19:04:25.2233590Z adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py' 2025-06-05T19:04:25.2233710Z adding 'executorch/backends/qualcomm/builders/op_where.py' 2025-06-05T19:04:25.2233820Z adding 'executorch/backends/qualcomm/builders/qnn_constants.py' 2025-06-05T19:04:25.2233930Z adding 'executorch/backends/qualcomm/builders/utils.py' 2025-06-05T19:04:25.2234030Z adding 'executorch/backends/qualcomm/debugger/utils.py' 2025-06-05T19:04:25.2234150Z adding 'executorch/backends/qualcomm/partition/common_defs.py' 2025-06-05T19:04:25.2234300Z adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py' 2025-06-05T19:04:25.2234410Z adding 'executorch/backends/qualcomm/partition/utils.py' 2025-06-05T19:04:25.2234530Z adding 'executorch/backends/qualcomm/quantizer/annotators.py' 2025-06-05T19:04:25.2234680Z adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py' 2025-06-05T19:04:25.2234800Z adding 'executorch/backends/qualcomm/quantizer/qconfig.py' 2025-06-05T19:04:25.2234910Z adding 'executorch/backends/qualcomm/quantizer/quantizer.py' 2025-06-05T19:04:25.2235100Z adding 'executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py' 2025-06-05T19:04:25.2235310Z adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py' 2025-06-05T19:04:25.2235460Z adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs' 2025-06-05T19:04:25.2235690Z adding 'executorch/backends/qualcomm/serialization/qc_schema.py' 2025-06-05T19:04:25.2235910Z adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py' 2025-06-05T19:04:25.2236010Z adding 'executorch/backends/qualcomm/tests/models.py' 2025-06-05T19:04:25.2236140Z adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py' 2025-06-05T19:04:25.2236250Z adding 'executorch/backends/qualcomm/tests/utils.py' 2025-06-05T19:04:25.2236350Z adding 'executorch/backends/qualcomm/utils/constants.py' 2025-06-05T19:04:25.2236510Z adding 'executorch/backends/qualcomm/utils/utils.py' 2025-06-05T19:04:25.2236590Z adding 'executorch/backends/transforms/__init__.py' 2025-06-05T19:04:25.2236720Z adding 'executorch/backends/transforms/addmm_mm_to_linear.py' 2025-06-05T19:04:25.2236850Z adding 'executorch/backends/transforms/convert_dtype_pass.py' 2025-06-05T19:04:25.2236950Z adding 'executorch/backends/transforms/decompose_sdpa.py' 2025-06-05T19:04:25.2237130Z adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py' 2025-06-05T19:04:25.2237270Z adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py' 2025-06-05T19:04:25.2237400Z adding 'executorch/backends/transforms/fuse_conv_with_clamp.py' 2025-06-05T19:04:25.2237520Z adding 'executorch/backends/transforms/fuse_view_copy.py' 2025-06-05T19:04:25.2237700Z adding 'executorch/backends/transforms/mean_to_sum_div.py' 2025-06-05T19:04:25.2237830Z adding 'executorch/backends/transforms/rank_0_to_rank_1.py' 2025-06-05T19:04:25.2237930Z adding 'executorch/backends/transforms/remove_clone_ops.py' 2025-06-05T19:04:25.2238050Z adding 'executorch/backends/transforms/remove_getitem_op.py' 2025-06-05T19:04:25.2238200Z adding 'executorch/backends/transforms/replace_scalar_with_tensor.py' 2025-06-05T19:04:25.2238280Z adding 'executorch/backends/transforms/utils.py' 2025-06-05T19:04:25.2238450Z adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py' 2025-06-05T19:04:25.2407280Z adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py' 2025-06-05T19:04:25.2407600Z adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py' 2025-06-05T19:04:25.2407740Z adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py' 2025-06-05T19:04:25.2407840Z adding 'executorch/backends/vulkan/__init__.py' 2025-06-05T19:04:25.2408000Z adding 'executorch/backends/vulkan/custom_ops_lib.py' 2025-06-05T19:04:25.2408090Z adding 'executorch/backends/vulkan/op_registry.py' 2025-06-05T19:04:25.2408170Z adding 'executorch/backends/vulkan/utils.py' 2025-06-05T19:04:25.2408300Z adding 'executorch/backends/vulkan/vulkan_preprocess.py' 2025-06-05T19:04:25.2408390Z adding 'executorch/backends/vulkan/_passes/__init__.py' 2025-06-05T19:04:25.2408530Z adding 'executorch/backends/vulkan/_passes/fuse_quantized_ops.py' 2025-06-05T19:04:25.2408680Z adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py' 2025-06-05T19:04:25.2408830Z adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py' 2025-06-05T19:04:25.2408960Z adding 'executorch/backends/vulkan/_passes/remove_asserts.py' 2025-06-05T19:04:25.2409130Z adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py' 2025-06-05T19:04:25.2409260Z adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py' 2025-06-05T19:04:25.2409410Z adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py' 2025-06-05T19:04:25.2409540Z adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py' 2025-06-05T19:04:25.2409700Z adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py' 2025-06-05T19:04:25.2409840Z adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py' 2025-06-05T19:04:25.2409950Z adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py' 2025-06-05T19:04:25.2410140Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml' 2025-06-05T19:04:25.2410440Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml' 2025-06-05T19:04:25.2410650Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml' 2025-06-05T19:04:25.2410800Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml' 2025-06-05T19:04:25.2410970Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml' 2025-06-05T19:04:25.2411120Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml' 2025-06-05T19:04:25.2411280Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml' 2025-06-05T19:04:25.2411510Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml' 2025-06-05T19:04:25.2411680Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml' 2025-06-05T19:04:25.2411910Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml' 2025-06-05T19:04:25.2412060Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml' 2025-06-05T19:04:25.2412200Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml' 2025-06-05T19:04:25.2412350Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml' 2025-06-05T19:04:25.2412510Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml' 2025-06-05T19:04:25.2412780Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml' 2025-06-05T19:04:25.2412990Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml' 2025-06-05T19:04:25.2413210Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml' 2025-06-05T19:04:25.2413390Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml' 2025-06-05T19:04:25.2413560Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml' 2025-06-05T19:04:25.2413730Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml' 2025-06-05T19:04:25.2413900Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml' 2025-06-05T19:04:25.2414140Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml' 2025-06-05T19:04:25.2414330Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml' 2025-06-05T19:04:25.2414480Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml' 2025-06-05T19:04:25.2414680Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml' 2025-06-05T19:04:25.2414840Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml' 2025-06-05T19:04:25.2414970Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml' 2025-06-05T19:04:25.2415110Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml' 2025-06-05T19:04:25.2415270Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml' 2025-06-05T19:04:25.2415430Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml' 2025-06-05T19:04:25.2415590Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml' 2025-06-05T19:04:25.2415780Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml' 2025-06-05T19:04:25.2415940Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml' 2025-06-05T19:04:25.2416150Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml' 2025-06-05T19:04:25.2416320Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml' 2025-06-05T19:04:25.2416500Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml' 2025-06-05T19:04:25.2416680Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml' 2025-06-05T19:04:25.2416840Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml' 2025-06-05T19:04:25.2417030Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml' 2025-06-05T19:04:25.2417220Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml' 2025-06-05T19:04:25.2417430Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml' 2025-06-05T19:04:25.2417600Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml' 2025-06-05T19:04:25.2417770Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml' 2025-06-05T19:04:25.2417900Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml' 2025-06-05T19:04:25.2418160Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml' 2025-06-05T19:04:25.2418330Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml' 2025-06-05T19:04:25.2418490Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml' 2025-06-05T19:04:25.2418640Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml' 2025-06-05T19:04:25.2418790Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml' 2025-06-05T19:04:25.2418930Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml' 2025-06-05T19:04:25.2419100Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml' 2025-06-05T19:04:25.2419350Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml' 2025-06-05T19:04:25.2419520Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml' 2025-06-05T19:04:25.2419740Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml' 2025-06-05T19:04:25.2419910Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml' 2025-06-05T19:04:25.2420040Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml' 2025-06-05T19:04:25.2420220Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml' 2025-06-05T19:04:25.2420450Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml' 2025-06-05T19:04:25.2420590Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml' 2025-06-05T19:04:25.2420760Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml' 2025-06-05T19:04:25.2420920Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml' 2025-06-05T19:04:25.2421080Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml' 2025-06-05T19:04:25.2421220Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml' 2025-06-05T19:04:25.2421360Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml' 2025-06-05T19:04:25.2421490Z adding 'executorch/backends/vulkan/serialization/schema.fbs' 2025-06-05T19:04:25.2421650Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py' 2025-06-05T19:04:25.2421800Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py' 2025-06-05T19:04:25.2421970Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py' 2025-06-05T19:04:25.2422110Z adding 'executorch/backends/vulkan/test/test_serialization.py' 2025-06-05T19:04:25.2422230Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py' 2025-06-05T19:04:25.2422380Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py' 2025-06-05T19:04:25.2422510Z adding 'executorch/backends/vulkan/test/test_vulkan_passes.py' 2025-06-05T19:04:25.2422620Z adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml' 2025-06-05T19:04:25.2422780Z adding 'executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml' 2025-06-05T19:04:25.2422940Z adding 'executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml' 2025-06-05T19:04:25.2423050Z adding 'executorch/backends/vulkan/test/op_tests/cases.py' 2025-06-05T19:04:25.2423210Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py' 2025-06-05T19:04:25.2423500Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py' 2025-06-05T19:04:25.2423640Z adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py' 2025-06-05T19:04:25.2423800Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py' 2025-06-05T19:04:25.2423970Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py' 2025-06-05T19:04:25.2424130Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py' 2025-06-05T19:04:25.2424330Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py' 2025-06-05T19:04:25.2424480Z adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py' 2025-06-05T19:04:25.2424670Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py' 2025-06-05T19:04:25.2424860Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py' 2025-06-05T19:04:25.2551710Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py' 2025-06-05T19:04:25.2551950Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py' 2025-06-05T19:04:25.2552120Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py' 2025-06-05T19:04:25.2552300Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py' 2025-06-05T19:04:25.2552620Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py' 2025-06-05T19:04:25.2552820Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py' 2025-06-05T19:04:25.2553090Z adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py' 2025-06-05T19:04:25.2553230Z adding 'executorch/backends/vulkan/third-party/volk/generate.py' 2025-06-05T19:04:25.2553390Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml' 2025-06-05T19:04:25.2553570Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml' 2025-06-05T19:04:25.2553720Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml' 2025-06-05T19:04:25.2553870Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml' 2025-06-05T19:04:25.2554050Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml' 2025-06-05T19:04:25.2554250Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml' 2025-06-05T19:04:25.2554340Z adding 'executorch/backends/xnnpack/__init__.py' 2025-06-05T19:04:25.2554460Z adding 'executorch/backends/xnnpack/xnnpack_preprocess.py' 2025-06-05T19:04:25.2554580Z adding 'executorch/backends/xnnpack/_passes/__init__.py' 2025-06-05T19:04:25.2554740Z adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py' 2025-06-05T19:04:25.2554890Z adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py' 2025-06-05T19:04:25.2555020Z adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py' 2025-06-05T19:04:25.2555160Z adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py' 2025-06-05T19:04:25.2555330Z adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py' 2025-06-05T19:04:25.2555450Z adding 'executorch/backends/xnnpack/_passes/decompose_cat.py' 2025-06-05T19:04:25.2555590Z adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py' 2025-06-05T19:04:25.2555750Z adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py' 2025-06-05T19:04:25.2555880Z adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py' 2025-06-05T19:04:25.2556020Z adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py' 2025-06-05T19:04:25.2556150Z adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py' 2025-06-05T19:04:25.2556250Z adding 'executorch/backends/xnnpack/operators/__init__.py' 2025-06-05T19:04:25.2556460Z adding 'executorch/backends/xnnpack/operators/node_visitor.py' 2025-06-05T19:04:25.2556610Z adding 'executorch/backends/xnnpack/operators/op_abs.py' 2025-06-05T19:04:25.2556710Z adding 'executorch/backends/xnnpack/operators/op_add.py' 2025-06-05T19:04:25.2556830Z adding 'executorch/backends/xnnpack/operators/op_addmm.py' 2025-06-05T19:04:25.2556970Z adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py' 2025-06-05T19:04:25.2557070Z adding 'executorch/backends/xnnpack/operators/op_bmm.py' 2025-06-05T19:04:25.2557170Z adding 'executorch/backends/xnnpack/operators/op_cat.py' 2025-06-05T19:04:25.2557290Z adding 'executorch/backends/xnnpack/operators/op_ceiling.py' 2025-06-05T19:04:25.2557390Z adding 'executorch/backends/xnnpack/operators/op_clamp.py' 2025-06-05T19:04:25.2557560Z adding 'executorch/backends/xnnpack/operators/op_conv2d.py' 2025-06-05T19:04:25.2557680Z adding 'executorch/backends/xnnpack/operators/op_div.py' 2025-06-05T19:04:25.2557840Z adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py' 2025-06-05T19:04:25.2557990Z adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py' 2025-06-05T19:04:25.2558080Z adding 'executorch/backends/xnnpack/operators/op_elu.py' 2025-06-05T19:04:25.2558190Z adding 'executorch/backends/xnnpack/operators/op_exp.py' 2025-06-05T19:04:25.2558310Z adding 'executorch/backends/xnnpack/operators/op_floor.py' 2025-06-05T19:04:25.2558480Z adding 'executorch/backends/xnnpack/operators/op_gelu.py' 2025-06-05T19:04:25.2558610Z adding 'executorch/backends/xnnpack/operators/op_hardswish.py' 2025-06-05T19:04:25.2558730Z adding 'executorch/backends/xnnpack/operators/op_hardtanh.py' 2025-06-05T19:04:25.2558840Z adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py' 2025-06-05T19:04:25.2558960Z adding 'executorch/backends/xnnpack/operators/op_linear.py' 2025-06-05T19:04:25.2559060Z adding 'executorch/backends/xnnpack/operators/op_log.py' 2025-06-05T19:04:25.2559220Z adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py' 2025-06-05T19:04:25.2559340Z adding 'executorch/backends/xnnpack/operators/op_max_dim.py' 2025-06-05T19:04:25.2559470Z adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py' 2025-06-05T19:04:25.2559580Z adding 'executorch/backends/xnnpack/operators/op_maximum.py' 2025-06-05T19:04:25.2559690Z adding 'executorch/backends/xnnpack/operators/op_mean_dim.py' 2025-06-05T19:04:25.2559800Z adding 'executorch/backends/xnnpack/operators/op_minimum.py' 2025-06-05T19:04:25.2559900Z adding 'executorch/backends/xnnpack/operators/op_multiply.py' 2025-06-05T19:04:25.2560010Z adding 'executorch/backends/xnnpack/operators/op_negate.py' 2025-06-05T19:04:25.2560120Z adding 'executorch/backends/xnnpack/operators/op_permute.py' 2025-06-05T19:04:25.2560230Z adding 'executorch/backends/xnnpack/operators/op_prelu.py' 2025-06-05T19:04:25.2560360Z adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py' 2025-06-05T19:04:25.2560460Z adding 'executorch/backends/xnnpack/operators/op_relu.py' 2025-06-05T19:04:25.2560560Z adding 'executorch/backends/xnnpack/operators/op_rsqrt.py' 2025-06-05T19:04:25.2560660Z adding 'executorch/backends/xnnpack/operators/op_sdpa.py' 2025-06-05T19:04:25.2560770Z adding 'executorch/backends/xnnpack/operators/op_sigmoid.py' 2025-06-05T19:04:25.2560880Z adding 'executorch/backends/xnnpack/operators/op_skip_ops.py' 2025-06-05T19:04:25.2561000Z adding 'executorch/backends/xnnpack/operators/op_slice_copy.py' 2025-06-05T19:04:25.2561110Z adding 'executorch/backends/xnnpack/operators/op_softmax.py' 2025-06-05T19:04:25.2561220Z adding 'executorch/backends/xnnpack/operators/op_square.py' 2025-06-05T19:04:25.2561330Z adding 'executorch/backends/xnnpack/operators/op_square_root.py' 2025-06-05T19:04:25.2561440Z adding 'executorch/backends/xnnpack/operators/op_squeeze.py' 2025-06-05T19:04:25.2561580Z adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py' 2025-06-05T19:04:25.2561790Z adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py' 2025-06-05T19:04:25.2561910Z adding 'executorch/backends/xnnpack/operators/op_sub.py' 2025-06-05T19:04:25.2562020Z adding 'executorch/backends/xnnpack/operators/op_to_copy.py' 2025-06-05T19:04:25.2562140Z adding 'executorch/backends/xnnpack/operators/quant_params.py' 2025-06-05T19:04:25.2562230Z adding 'executorch/backends/xnnpack/partition/configs.py' 2025-06-05T19:04:25.2562370Z adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py' 2025-06-05T19:04:25.2562490Z adding 'executorch/backends/xnnpack/partition/config/__init__.py' 2025-06-05T19:04:25.2562620Z adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py' 2025-06-05T19:04:25.2562770Z adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py' 2025-06-05T19:04:25.2562900Z adding 'executorch/backends/xnnpack/partition/config/node_configs.py' 2025-06-05T19:04:25.2563060Z adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py' 2025-06-05T19:04:25.2563210Z adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py' 2025-06-05T19:04:25.2563340Z adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py' 2025-06-05T19:04:25.2563450Z adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py' 2025-06-05T19:04:25.2563590Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py' 2025-06-05T19:04:25.2563790Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py' 2025-06-05T19:04:25.2563930Z adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs' 2025-06-05T19:04:25.2564050Z adding 'executorch/backends/xnnpack/serialization/schema.fbs' 2025-06-05T19:04:25.2564190Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py' 2025-06-05T19:04:25.2564350Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py' 2025-06-05T19:04:25.2564460Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py' 2025-06-05T19:04:25.2564600Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py' 2025-06-05T19:04:25.2564710Z adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py' 2025-06-05T19:04:25.2564810Z adding 'executorch/backends/xnnpack/test/models/edsr.py' 2025-06-05T19:04:25.2564920Z adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py' 2025-06-05T19:04:25.2565040Z adding 'executorch/backends/xnnpack/test/models/inception_v3.py' 2025-06-05T19:04:25.2565160Z adding 'executorch/backends/xnnpack/test/models/inception_v4.py' 2025-06-05T19:04:25.2565300Z adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py' 2025-06-05T19:04:25.2565410Z adding 'executorch/backends/xnnpack/test/models/mobilebert.py' 2025-06-05T19:04:25.2565520Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py' 2025-06-05T19:04:25.2565640Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py' 2025-06-05T19:04:25.2565750Z adding 'executorch/backends/xnnpack/test/models/resnet.py' 2025-06-05T19:04:25.2565880Z adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py' 2025-06-05T19:04:25.2566010Z adding 'executorch/backends/xnnpack/test/models/very_big_model.py' 2025-06-05T19:04:25.2566100Z adding 'executorch/backends/xnnpack/test/models/w2l.py' 2025-06-05T19:04:25.2566210Z adding 'executorch/backends/xnnpack/test/ops/test_abs.py' 2025-06-05T19:04:25.2566310Z adding 'executorch/backends/xnnpack/test/ops/test_add.py' 2025-06-05T19:04:25.2566430Z adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py' 2025-06-05T19:04:25.2566550Z adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py' 2025-06-05T19:04:25.2566650Z adding 'executorch/backends/xnnpack/test/ops/test_bmm.py' 2025-06-05T19:04:25.2566750Z adding 'executorch/backends/xnnpack/test/ops/test_cat.py' 2025-06-05T19:04:25.2566850Z adding 'executorch/backends/xnnpack/test/ops/test_ceil.py' 2025-06-05T19:04:25.2567000Z adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py' 2025-06-05T19:04:25.2567140Z adding 'executorch/backends/xnnpack/test/ops/test_clamp.py' 2025-06-05T19:04:25.2567270Z adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py' 2025-06-05T19:04:25.2567380Z adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py' 2025-06-05T19:04:25.2567480Z adding 'executorch/backends/xnnpack/test/ops/test_div.py' 2025-06-05T19:04:25.2567590Z adding 'executorch/backends/xnnpack/test/ops/test_elu.py' 2025-06-05T19:04:25.5024790Z adding 'executorch/backends/xnnpack/test/ops/test_exp.py' 2025-06-05T19:04:25.5025020Z adding 'executorch/backends/xnnpack/test/ops/test_floor.py' 2025-06-05T19:04:25.5025250Z adding 'executorch/backends/xnnpack/test/ops/test_gelu.py' 2025-06-05T19:04:25.5025440Z adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py' 2025-06-05T19:04:25.5025590Z adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py' 2025-06-05T19:04:25.5025710Z adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py' 2025-06-05T19:04:25.5025840Z adding 'executorch/backends/xnnpack/test/ops/test_linear.py' 2025-06-05T19:04:25.5025960Z adding 'executorch/backends/xnnpack/test/ops/test_log.py' 2025-06-05T19:04:25.5026070Z adding 'executorch/backends/xnnpack/test/ops/test_lstm.py' 2025-06-05T19:04:25.5026180Z adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py' 2025-06-05T19:04:25.5026410Z adding 'executorch/backends/xnnpack/test/ops/test_maximum.py' 2025-06-05T19:04:25.5026540Z adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py' 2025-06-05T19:04:25.5026650Z adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py' 2025-06-05T19:04:25.5026760Z adding 'executorch/backends/xnnpack/test/ops/test_minimum.py' 2025-06-05T19:04:25.5026870Z adding 'executorch/backends/xnnpack/test/ops/test_multiply.py' 2025-06-05T19:04:25.5026980Z adding 'executorch/backends/xnnpack/test/ops/test_negate.py' 2025-06-05T19:04:25.5027090Z adding 'executorch/backends/xnnpack/test/ops/test_permute.py' 2025-06-05T19:04:25.5027200Z adding 'executorch/backends/xnnpack/test/ops/test_pow.py' 2025-06-05T19:04:25.5027310Z adding 'executorch/backends/xnnpack/test/ops/test_prelu.py' 2025-06-05T19:04:25.5027460Z adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py' 2025-06-05T19:04:25.5027560Z adding 'executorch/backends/xnnpack/test/ops/test_relu.py' 2025-06-05T19:04:25.5027660Z adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py' 2025-06-05T19:04:25.5027770Z adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py' 2025-06-05T19:04:25.5027880Z adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py' 2025-06-05T19:04:25.5028000Z adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py' 2025-06-05T19:04:25.5028110Z adding 'executorch/backends/xnnpack/test/ops/test_softmax.py' 2025-06-05T19:04:25.5028210Z adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py' 2025-06-05T19:04:25.5028320Z adding 'executorch/backends/xnnpack/test/ops/test_square.py' 2025-06-05T19:04:25.5028460Z adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py' 2025-06-05T19:04:25.5028570Z adding 'executorch/backends/xnnpack/test/ops/test_sub.py' 2025-06-05T19:04:25.5028720Z adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py' 2025-06-05T19:04:25.5028870Z adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py' 2025-06-05T19:04:25.5029050Z adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py' 2025-06-05T19:04:25.5029200Z adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py' 2025-06-05T19:04:25.5029350Z adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py' 2025-06-05T19:04:25.5029510Z adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py' 2025-06-05T19:04:25.5029670Z adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py' 2025-06-05T19:04:25.5029830Z adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py' 2025-06-05T19:04:25.5030170Z adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py' 2025-06-05T19:04:25.5030330Z adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py' 2025-06-05T19:04:25.5030490Z adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py' 2025-06-05T19:04:25.5030640Z adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py' 2025-06-05T19:04:25.5030750Z adding 'executorch/backends/xnnpack/test/tester/__init__.py' 2025-06-05T19:04:25.5030850Z adding 'executorch/backends/xnnpack/test/tester/tester.py' 2025-06-05T19:04:25.5031020Z adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py' 2025-06-05T19:04:25.5031150Z adding 'executorch/backends/xnnpack/third-party/FP16/configure.py' 2025-06-05T19:04:25.5031270Z adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml' 2025-06-05T19:04:25.5031430Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py' 2025-06-05T19:04:25.5031580Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py' 2025-06-05T19:04:25.5031730Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py' 2025-06-05T19:04:25.5031880Z adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py' 2025-06-05T19:04:25.5032010Z adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py' 2025-06-05T19:04:25.5032190Z adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml' 2025-06-05T19:04:25.5032360Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py' 2025-06-05T19:04:25.5032540Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py' 2025-06-05T19:04:25.5032750Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py' 2025-06-05T19:04:25.5032930Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py' 2025-06-05T19:04:25.5033110Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml' 2025-06-05T19:04:25.5033290Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml' 2025-06-05T19:04:25.5033460Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml' 2025-06-05T19:04:25.5033650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml' 2025-06-05T19:04:25.5033850Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml' 2025-06-05T19:04:25.5034020Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml' 2025-06-05T19:04:25.5034190Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml' 2025-06-05T19:04:25.5034350Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml' 2025-06-05T19:04:25.5034530Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml' 2025-06-05T19:04:25.5034690Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml' 2025-06-05T19:04:25.5034860Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml' 2025-06-05T19:04:25.5035050Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml' 2025-06-05T19:04:25.5035200Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml' 2025-06-05T19:04:25.5035340Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml' 2025-06-05T19:04:25.5035500Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml' 2025-06-05T19:04:25.5035650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml' 2025-06-05T19:04:25.5035820Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml' 2025-06-05T19:04:25.5036000Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml' 2025-06-05T19:04:25.5036220Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml' 2025-06-05T19:04:25.5036420Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml' 2025-06-05T19:04:25.5036580Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml' 2025-06-05T19:04:25.5036750Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml' 2025-06-05T19:04:25.5036920Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml' 2025-06-05T19:04:25.5037090Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml' 2025-06-05T19:04:25.5037250Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml' 2025-06-05T19:04:25.5037390Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml' 2025-06-05T19:04:25.5037570Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml' 2025-06-05T19:04:25.5037740Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml' 2025-06-05T19:04:25.5037910Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml' 2025-06-05T19:04:25.5038080Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml' 2025-06-05T19:04:25.5038250Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml' 2025-06-05T19:04:25.5038480Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml' 2025-06-05T19:04:25.5038650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml' 2025-06-05T19:04:25.5038830Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5039010Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml' 2025-06-05T19:04:25.5039190Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml' 2025-06-05T19:04:25.5039350Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml' 2025-06-05T19:04:25.5039530Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml' 2025-06-05T19:04:25.5039700Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml' 2025-06-05T19:04:25.5039900Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml' 2025-06-05T19:04:25.5040050Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml' 2025-06-05T19:04:25.5040200Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml' 2025-06-05T19:04:25.5040350Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml' 2025-06-05T19:04:25.5040510Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml' 2025-06-05T19:04:25.5040650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml' 2025-06-05T19:04:25.5040820Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml' 2025-06-05T19:04:25.5041000Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml' 2025-06-05T19:04:25.5041180Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml' 2025-06-05T19:04:25.5041360Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml' 2025-06-05T19:04:25.5041550Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5254100Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5254320Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml' 2025-06-05T19:04:25.5254540Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml' 2025-06-05T19:04:25.5254830Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5255060Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5255250Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml' 2025-06-05T19:04:25.5255460Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml' 2025-06-05T19:04:25.5255650Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5255850Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml' 2025-06-05T19:04:25.5256050Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml' 2025-06-05T19:04:25.5256250Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml' 2025-06-05T19:04:25.5256440Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml' 2025-06-05T19:04:25.5256600Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml' 2025-06-05T19:04:25.5256790Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml' 2025-06-05T19:04:25.5256970Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml' 2025-06-05T19:04:25.5257240Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml' 2025-06-05T19:04:25.5257430Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml' 2025-06-05T19:04:25.5257590Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml' 2025-06-05T19:04:25.5257740Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml' 2025-06-05T19:04:25.5257920Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml' 2025-06-05T19:04:25.5258080Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml' 2025-06-05T19:04:25.5258240Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml' 2025-06-05T19:04:25.5258390Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml' 2025-06-05T19:04:25.5258530Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml' 2025-06-05T19:04:25.5258730Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py' 2025-06-05T19:04:25.5258920Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py' 2025-06-05T19:04:25.5259130Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py' 2025-06-05T19:04:25.5259340Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py' 2025-06-05T19:04:25.5259550Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py' 2025-06-05T19:04:25.5259760Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py' 2025-06-05T19:04:25.5259940Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py' 2025-06-05T19:04:25.5260140Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py' 2025-06-05T19:04:25.5260340Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py' 2025-06-05T19:04:25.5260530Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py' 2025-06-05T19:04:25.5260710Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py' 2025-06-05T19:04:25.5260920Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py' 2025-06-05T19:04:25.5261110Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py' 2025-06-05T19:04:25.5261350Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py' 2025-06-05T19:04:25.5261590Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py' 2025-06-05T19:04:25.5261780Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py' 2025-06-05T19:04:25.5261970Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py' 2025-06-05T19:04:25.5262150Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py' 2025-06-05T19:04:25.5262330Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py' 2025-06-05T19:04:25.5262520Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py' 2025-06-05T19:04:25.5262740Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py' 2025-06-05T19:04:25.5262950Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py' 2025-06-05T19:04:25.5263130Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py' 2025-06-05T19:04:25.5263280Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py' 2025-06-05T19:04:25.5263460Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py' 2025-06-05T19:04:25.5263600Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py' 2025-06-05T19:04:25.5263820Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py' 2025-06-05T19:04:25.5263960Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py' 2025-06-05T19:04:25.5264090Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml' 2025-06-05T19:04:25.5264260Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py' 2025-06-05T19:04:25.5264420Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml' 2025-06-05T19:04:25.5264600Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py' 2025-06-05T19:04:25.5264810Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py' 2025-06-05T19:04:25.5265000Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py' 2025-06-05T19:04:25.5265150Z adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py' 2025-06-05T19:04:25.5265300Z adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml' 2025-06-05T19:04:25.5265390Z adding 'executorch/backends/xnnpack/utils/configs.py' 2025-06-05T19:04:25.5265500Z adding 'executorch/backends/xnnpack/utils/quant_utils.py' 2025-06-05T19:04:25.5265590Z adding 'executorch/backends/xnnpack/utils/utils.py' 2025-06-05T19:04:25.5265710Z adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py' 2025-06-05T19:04:25.5265780Z adding 'executorch/codegen/__init__.py' 2025-06-05T19:04:25.5265840Z adding 'executorch/codegen/gen.py' 2025-06-05T19:04:25.5265900Z adding 'executorch/codegen/model.py' 2025-06-05T19:04:25.5265970Z adding 'executorch/codegen/parse.py' 2025-06-05T19:04:25.5266040Z adding 'executorch/codegen/api/__init__.py' 2025-06-05T19:04:25.5266120Z adding 'executorch/codegen/api/custom_ops.py' 2025-06-05T19:04:25.5266190Z adding 'executorch/codegen/api/et_cpp.py' 2025-06-05T19:04:25.5266260Z adding 'executorch/codegen/api/unboxing.py' 2025-06-05T19:04:25.5266340Z adding 'executorch/codegen/api/types/__init__.py' 2025-06-05T19:04:25.5266440Z adding 'executorch/codegen/api/types/signatures.py' 2025-06-05T19:04:25.5266520Z adding 'executorch/codegen/api/types/types.py' 2025-06-05T19:04:25.5266630Z adding 'executorch/codegen/test/test_executorch_custom_ops.py' 2025-06-05T19:04:25.5266730Z adding 'executorch/codegen/test/test_executorch_gen.py' 2025-06-05T19:04:25.5266850Z adding 'executorch/codegen/test/test_executorch_signatures.py' 2025-06-05T19:04:25.5266950Z adding 'executorch/codegen/test/test_executorch_types.py' 2025-06-05T19:04:25.5267060Z adding 'executorch/codegen/test/test_executorch_unboxing.py' 2025-06-05T19:04:25.5267250Z adding 'executorch/codegen/test/test_selective_build.py' 2025-06-05T19:04:25.5267340Z adding 'executorch/codegen/tools/__init__.py' 2025-06-05T19:04:25.5267430Z adding 'executorch/codegen/tools/gen_all_oplist.py' 2025-06-05T19:04:25.5267510Z adding 'executorch/codegen/tools/gen_oplist.py' 2025-06-05T19:04:25.5267590Z adding 'executorch/codegen/tools/gen_ops_def.py' 2025-06-05T19:04:25.5267710Z adding 'executorch/codegen/tools/gen_selected_op_variants.py' 2025-06-05T19:04:25.5267780Z adding 'executorch/codegen/tools/merge_yaml.py' 2025-06-05T19:04:25.5267860Z adding 'executorch/codegen/tools/yaml_util.py' 2025-06-05T19:04:25.5267970Z adding 'executorch/codegen/tools/test/test_gen_all_oplist.py' 2025-06-05T19:04:25.5268080Z adding 'executorch/codegen/tools/test/test_gen_oplist.py' 2025-06-05T19:04:25.5268210Z adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py' 2025-06-05T19:04:25.5268350Z adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py' 2025-06-05T19:04:25.5268420Z adding 'executorch/data/bin/__init__.py' 2025-06-05T19:04:25.5268480Z adding 'executorch/data/bin/flatc' 2025-06-05T19:04:25.5268550Z adding 'executorch/devtools/__init__.py' 2025-06-05T19:04:25.5268650Z adding 'executorch/devtools/backend_debug/__init__.py' 2025-06-05T19:04:25.5268810Z adding 'executorch/devtools/backend_debug/delegation_info.py' 2025-06-05T19:04:25.5268960Z adding 'executorch/devtools/backend_debug/tests/test_delegation_info.py' 2025-06-05T19:04:25.5269050Z adding 'executorch/devtools/bundled_program/config.py' 2025-06-05T19:04:25.5269140Z adding 'executorch/devtools/bundled_program/core.py' 2025-06-05T19:04:25.5269240Z adding 'executorch/devtools/bundled_program/version.py' 2025-06-05T19:04:25.5269360Z adding 'executorch/devtools/bundled_program/schema/__init__.py' 2025-06-05T19:04:25.5269520Z adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.fbs' 2025-06-05T19:04:25.5269680Z adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.py' 2025-06-05T19:04:25.5269810Z adding 'executorch/devtools/bundled_program/schema/scalar_type.fbs' 2025-06-05T19:04:25.5269940Z adding 'executorch/devtools/bundled_program/schema/test/test_schema.py' 2025-06-05T19:04:25.5270070Z adding 'executorch/devtools/bundled_program/serialize/__init__.py' 2025-06-05T19:04:25.5270240Z adding 'executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs' 2025-06-05T19:04:25.5270370Z adding 'executorch/devtools/bundled_program/serialize/scalar_type.fbs' 2025-06-05T19:04:25.5270530Z adding 'executorch/devtools/bundled_program/serialize/test/test_serialize.py' 2025-06-05T19:04:25.5518630Z adding 'executorch/devtools/bundled_program/test/test_bundle_data.py' 2025-06-05T19:04:25.5518920Z adding 'executorch/devtools/bundled_program/test/test_config.py' 2025-06-05T19:04:25.5519050Z adding 'executorch/devtools/bundled_program/test/test_end2end.py' 2025-06-05T19:04:25.5519170Z adding 'executorch/devtools/bundled_program/util/test_util.py' 2025-06-05T19:04:25.5519270Z adding 'executorch/devtools/debug_format/base_schema.py' 2025-06-05T19:04:25.5519370Z adding 'executorch/devtools/debug_format/et_schema.py' 2025-06-05T19:04:25.5519480Z adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs' 2025-06-05T19:04:25.5519570Z adding 'executorch/devtools/etdump/scalar_type.fbs' 2025-06-05T19:04:25.5519660Z adding 'executorch/devtools/etdump/schema_flatcc.py' 2025-06-05T19:04:25.5519740Z adding 'executorch/devtools/etdump/serialize.py' 2025-06-05T19:04:25.5519850Z adding 'executorch/devtools/etdump/tests/serialize_test.py' 2025-06-05T19:04:25.5519930Z adding 'executorch/devtools/etrecord/__init__.py' 2025-06-05T19:04:25.5520010Z adding 'executorch/devtools/etrecord/_etrecord.py' 2025-06-05T19:04:25.5520120Z adding 'executorch/devtools/etrecord/tests/etrecord_test.py' 2025-06-05T19:04:25.5520210Z adding 'executorch/devtools/inspector/__init__.py' 2025-06-05T19:04:25.5520370Z adding 'executorch/devtools/inspector/_inspector.py' 2025-06-05T19:04:25.5520510Z adding 'executorch/devtools/inspector/_inspector_utils.py' 2025-06-05T19:04:25.5520660Z adding 'executorch/devtools/inspector/_intermediate_output_capturer.py' 2025-06-05T19:04:25.5520760Z adding 'executorch/devtools/inspector/inspector_cli.py' 2025-06-05T19:04:25.5520880Z adding 'executorch/devtools/inspector/tests/event_blocks_test.py' 2025-06-05T19:04:25.5521000Z adding 'executorch/devtools/inspector/tests/inspector_test.py' 2025-06-05T19:04:25.5521140Z adding 'executorch/devtools/inspector/tests/inspector_test_utils.py' 2025-06-05T19:04:25.5521270Z adding 'executorch/devtools/inspector/tests/inspector_utils_test.py' 2025-06-05T19:04:25.5521450Z adding 'executorch/devtools/inspector/tests/intermediate_output_capturer_test.py' 2025-06-05T19:04:25.5521580Z adding 'executorch/devtools/size_analysis_tool/size_analysis_tool.py' 2025-06-05T19:04:25.5521750Z adding 'executorch/devtools/size_analysis_tool/size_analysis_tool_test.py' 2025-06-05T19:04:25.5521850Z adding 'executorch/devtools/visualization/__init__.py' 2025-06-05T19:04:25.5521980Z adding 'executorch/devtools/visualization/visualization_utils.py' 2025-06-05T19:04:25.5522120Z adding 'executorch/devtools/visualization/visualization_utils_test.py' 2025-06-05T19:04:25.5522230Z adding 'executorch/examples/apple/coreml/llama/export.py' 2025-06-05T19:04:25.5522450Z adding 'executorch/examples/apple/coreml/llama/llama_transformer.py' 2025-06-05T19:04:25.5522550Z adding 'executorch/examples/apple/coreml/llama/run.py' 2025-06-05T19:04:25.5522650Z adding 'executorch/examples/apple/coreml/llama/test.py' 2025-06-05T19:04:25.5522750Z adding 'executorch/examples/apple/coreml/llama/utils.py' 2025-06-05T19:04:25.5522870Z adding 'executorch/examples/apple/coreml/scripts/debugger_cli.py' 2025-06-05T19:04:25.5522980Z adding 'executorch/examples/apple/coreml/scripts/export.py' 2025-06-05T19:04:25.5523140Z adding 'executorch/examples/apple/coreml/scripts/extract_coreml_models.py' 2025-06-05T19:04:25.5523270Z adding 'executorch/examples/apple/coreml/scripts/inspector_cli.py' 2025-06-05T19:04:25.5523400Z adding 'executorch/examples/apple/coreml/scripts/inspector_utils.py' 2025-06-05T19:04:25.5523510Z adding 'executorch/examples/apple/mps/scripts/bench_utils.py' 2025-06-05T19:04:25.5523630Z adding 'executorch/examples/apple/mps/scripts/mps_example.py' 2025-06-05T19:04:25.5523740Z adding 'executorch/examples/llm_pte_finetuning/__init__.py' 2025-06-05T19:04:25.5523860Z adding 'executorch/examples/llm_pte_finetuning/llama3_config.yaml' 2025-06-05T19:04:25.5523990Z adding 'executorch/examples/llm_pte_finetuning/model_exporter.py' 2025-06-05T19:04:25.5524120Z adding 'executorch/examples/llm_pte_finetuning/model_loading_lib.py' 2025-06-05T19:04:25.5524270Z adding 'executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml' 2025-06-05T19:04:25.5524400Z adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml' 2025-06-05T19:04:25.5524530Z adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml' 2025-06-05T19:04:25.5524630Z adding 'executorch/examples/llm_pte_finetuning/runner.py' 2025-06-05T19:04:25.5524750Z adding 'executorch/examples/llm_pte_finetuning/training_lib.py' 2025-06-05T19:04:25.5524830Z adding 'executorch/examples/models/__init__.py' 2025-06-05T19:04:25.5524920Z adding 'executorch/examples/models/checkpoint.py' 2025-06-05T19:04:25.5525000Z adding 'executorch/examples/models/model_base.py' 2025-06-05T19:04:25.5525100Z adding 'executorch/examples/models/model_factory.py' 2025-06-05T19:04:25.5525200Z adding 'executorch/examples/models/deeplab_v3/__init__.py' 2025-06-05T19:04:25.5525300Z adding 'executorch/examples/models/deeplab_v3/model.py' 2025-06-05T19:04:25.5525380Z adding 'executorch/examples/models/edsr/__init__.py' 2025-06-05T19:04:25.5525460Z adding 'executorch/examples/models/edsr/model.py' 2025-06-05T19:04:25.5525570Z adding 'executorch/examples/models/efficient_sam/__init__.py' 2025-06-05T19:04:25.5525750Z adding 'executorch/examples/models/efficient_sam/model.py' 2025-06-05T19:04:25.5525950Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py' 2025-06-05T19:04:25.5526120Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py' 2025-06-05T19:04:25.5526320Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py' 2025-06-05T19:04:25.5526500Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py' 2025-06-05T19:04:25.5526650Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py' 2025-06-05T19:04:25.5526840Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py' 2025-06-05T19:04:25.5526950Z adding 'executorch/examples/models/emformer_rnnt/__init__.py' 2025-06-05T19:04:25.5527050Z adding 'executorch/examples/models/emformer_rnnt/model.py' 2025-06-05T19:04:25.5532670Z adding 'executorch/examples/models/inception_v3/__init__.py' 2025-06-05T19:04:25.5532780Z adding 'executorch/examples/models/inception_v3/model.py' 2025-06-05T19:04:25.5532890Z adding 'executorch/examples/models/inception_v4/__init__.py' 2025-06-05T19:04:25.5532980Z adding 'executorch/examples/models/inception_v4/model.py' 2025-06-05T19:04:25.5533140Z adding 'executorch/examples/models/llama/__init__.py' 2025-06-05T19:04:25.5533240Z adding 'executorch/examples/models/llama/attention.py' 2025-06-05T19:04:25.5533330Z adding 'executorch/examples/models/llama/eval_llama.py' 2025-06-05T19:04:25.5533440Z adding 'executorch/examples/models/llama/eval_llama_lib.py' 2025-06-05T19:04:25.5533530Z adding 'executorch/examples/models/llama/export_llama.py' 2025-06-05T19:04:25.5533640Z adding 'executorch/examples/models/llama/export_llama_lib.py' 2025-06-05T19:04:25.5533730Z adding 'executorch/examples/models/llama/fairseq2.py' 2025-06-05T19:04:25.5533820Z adding 'executorch/examples/models/llama/hf_download.py' 2025-06-05T19:04:25.5533970Z adding 'executorch/examples/models/llama/install_requirement_helper.py' 2025-06-05T19:04:25.5534080Z adding 'executorch/examples/models/llama/llama_transformer.py' 2025-06-05T19:04:25.5534160Z adding 'executorch/examples/models/llama/model.py' 2025-06-05T19:04:25.5534260Z adding 'executorch/examples/models/llama/model_args.py' 2025-06-05T19:04:25.5534340Z adding 'executorch/examples/models/llama/norm.py' 2025-06-05T19:04:25.5534420Z adding 'executorch/examples/models/llama/rope.py' 2025-06-05T19:04:25.5534530Z adding 'executorch/examples/models/llama/static_attention.py' 2025-06-05T19:04:25.5534640Z adding 'executorch/examples/models/llama/evaluate/__init__.py' 2025-06-05T19:04:25.5534760Z adding 'executorch/examples/models/llama/evaluate/eager_eval.py' 2025-06-05T19:04:25.5534880Z adding 'executorch/examples/models/llama/experimental/generate.py' 2025-06-05T19:04:25.5535020Z adding 'executorch/examples/models/llama/experimental/load_gguf_q4_0.py' 2025-06-05T19:04:25.5535150Z adding 'executorch/examples/models/llama/experimental/subclass.py' 2025-06-05T19:04:25.5535290Z adding 'executorch/examples/models/llama/experimental/test_subclass.py' 2025-06-05T19:04:25.5535390Z adding 'executorch/examples/models/llama/runner/eager.py' 2025-06-05T19:04:25.5535500Z adding 'executorch/examples/models/llama/runner/generation.py' 2025-06-05T19:04:25.5535600Z adding 'executorch/examples/models/llama/runner/native.py' 2025-06-05T19:04:25.5535750Z adding 'executorch/examples/models/llama/source_transformation/__init__.py' 2025-06-05T19:04:25.5535940Z adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py' 2025-06-05T19:04:25.5536090Z adding 'executorch/examples/models/llama/source_transformation/attention.py' 2025-06-05T19:04:25.5536260Z adding 'executorch/examples/models/llama/source_transformation/attention_sink.py' 2025-06-05T19:04:25.5536420Z adding 'executorch/examples/models/llama/source_transformation/custom_kv_cache.py' 2025-06-05T19:04:25.5536620Z adding 'executorch/examples/models/llama/source_transformation/lora.py' 2025-06-05T19:04:25.5536800Z adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py' 2025-06-05T19:04:25.5536950Z adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py' 2025-06-05T19:04:25.5537100Z adding 'executorch/examples/models/llama/source_transformation/quantize.py' 2025-06-05T19:04:25.5537250Z adding 'executorch/examples/models/llama/source_transformation/rms_norm.py' 2025-06-05T19:04:25.5537380Z adding 'executorch/examples/models/llama/source_transformation/rope.py' 2025-06-05T19:04:25.5537510Z adding 'executorch/examples/models/llama/source_transformation/sdpa.py' 2025-06-05T19:04:25.5537660Z adding 'executorch/examples/models/llama/source_transformation/spin_quant.py' 2025-06-05T19:04:25.5537830Z adding 'executorch/examples/models/llama/source_transformation/test_attention_sink.py' 2025-06-05T19:04:25.5538020Z adding 'executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py' 2025-06-05T19:04:25.5538190Z adding 'executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py' 2025-06-05T19:04:25.5538410Z adding 'executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py' 2025-06-05T19:04:25.5538620Z adding 'executorch/examples/models/llama/source_transformation/vulkan_rope.py' 2025-06-05T19:04:25.5538780Z adding 'executorch/examples/models/llama/tests/test_export_llama_lib.py' 2025-06-05T19:04:25.5538950Z adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py' 2025-06-05T19:04:25.5539090Z adding 'executorch/examples/models/llama/tests/test_replace_kv_cache.py' 2025-06-05T19:04:25.5539220Z adding 'executorch/examples/models/llama/tests/test_ring_attention.py' 2025-06-05T19:04:25.5539340Z adding 'executorch/examples/models/llama/tests/test_ring_kv_cache.py' 2025-06-05T19:04:25.5539480Z adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py' 2025-06-05T19:04:25.5539620Z adding 'executorch/examples/models/llama/tests/test_static_attention.py' 2025-06-05T19:04:25.5957770Z adding 'executorch/examples/models/llama/tokenizer/tiktoken.py' 2025-06-05T19:04:25.5958120Z adding 'executorch/examples/models/llama3_2_vision/__init__.py' 2025-06-05T19:04:25.5958470Z adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py' 2025-06-05T19:04:25.5958880Z adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py' 2025-06-05T19:04:25.5959260Z adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py' 2025-06-05T19:04:25.5959640Z adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py' 2025-06-05T19:04:25.5960010Z adding 'executorch/examples/models/llama3_2_vision/runner/eager.py' 2025-06-05T19:04:25.5960350Z adding 'executorch/examples/models/llama3_2_vision/runner/exported.py' 2025-06-05T19:04:25.5960700Z adding 'executorch/examples/models/llama3_2_vision/runner/generation.py' 2025-06-05T19:04:25.5961050Z adding 'executorch/examples/models/llama3_2_vision/runner/native.py' 2025-06-05T19:04:25.5961390Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py' 2025-06-05T19:04:25.5961770Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py' 2025-06-05T19:04:25.5962200Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py' 2025-06-05T19:04:25.5962610Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py' 2025-06-05T19:04:25.5962980Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py' 2025-06-05T19:04:25.5963370Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py' 2025-06-05T19:04:25.5963800Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py' 2025-06-05T19:04:25.5964280Z adding 'executorch/examples/models/llava/__init__.py' 2025-06-05T19:04:25.5964600Z adding 'executorch/examples/models/llava/export_llava.py' 2025-06-05T19:04:25.5964860Z adding 'executorch/examples/models/llava/model.py' 2025-06-05T19:04:25.5965130Z adding 'executorch/examples/models/llava/test/test_llava.py' 2025-06-05T19:04:25.5965400Z adding 'executorch/examples/models/llava/test/test_pte.py' 2025-06-05T19:04:25.5965690Z adding 'executorch/examples/models/lstm/__init__.py' 2025-06-05T19:04:25.5965920Z adding 'executorch/examples/models/lstm/model.py' 2025-06-05T19:04:25.5966170Z adding 'executorch/examples/models/mobilebert/__init__.py' 2025-06-05T19:04:25.5966430Z adding 'executorch/examples/models/mobilebert/model.py' 2025-06-05T19:04:25.5966700Z adding 'executorch/examples/models/mobilenet_v2/__init__.py' 2025-06-05T19:04:25.5966960Z adding 'executorch/examples/models/mobilenet_v2/model.py' 2025-06-05T19:04:25.5967230Z adding 'executorch/examples/models/mobilenet_v3/__init__.py' 2025-06-05T19:04:25.5967500Z adding 'executorch/examples/models/mobilenet_v3/model.py' 2025-06-05T19:04:25.5967760Z adding 'executorch/examples/models/moshi/mimi/test_mimi.py' 2025-06-05T19:04:25.5968040Z adding 'executorch/examples/models/phi-3-mini/__init__.py' 2025-06-05T19:04:25.5968310Z adding 'executorch/examples/models/phi-3-mini/eager.py' 2025-06-05T19:04:25.5968600Z adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py' 2025-06-05T19:04:25.5969000Z adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py' 2025-06-05T19:04:25.5969290Z adding 'executorch/examples/models/phi-3-mini/static_cache.py' 2025-06-05T19:04:25.5969590Z adding 'executorch/examples/models/phi-3-mini-lora/export_model.py' 2025-06-05T19:04:25.5969880Z adding 'executorch/examples/models/phi_4_mini/__init__.py' 2025-06-05T19:04:25.5970180Z adding 'executorch/examples/models/phi_4_mini/convert_weights.py' 2025-06-05T19:04:25.5970470Z adding 'executorch/examples/models/qwen2_5/__init__.py' 2025-06-05T19:04:25.5970750Z adding 'executorch/examples/models/qwen2_5/convert_weights.py' 2025-06-05T19:04:25.5971030Z adding 'executorch/examples/models/qwen3/__init__.py' 2025-06-05T19:04:25.5971300Z adding 'executorch/examples/models/qwen3/convert_weights.py' 2025-06-05T19:04:25.5971570Z adding 'executorch/examples/models/resnet/__init__.py' 2025-06-05T19:04:25.5971820Z adding 'executorch/examples/models/resnet/model.py' 2025-06-05T19:04:25.5972070Z adding 'executorch/examples/models/smollm2/__init__.py' 2025-06-05T19:04:25.5972340Z adding 'executorch/examples/models/smollm2/convert_weights.py' 2025-06-05T19:04:25.5972600Z adding 'executorch/examples/models/test/__init__.py' 2025-06-05T19:04:25.5972850Z adding 'executorch/examples/models/test/test_export.py' 2025-06-05T19:04:25.5973120Z adding 'executorch/examples/models/torchvision_vit/__init__.py' 2025-06-05T19:04:25.5973410Z adding 'executorch/examples/models/torchvision_vit/model.py' 2025-06-05T19:04:25.5973690Z adding 'executorch/examples/models/toy_model/__init__.py' 2025-06-05T19:04:25.5973950Z adding 'executorch/examples/models/toy_model/model.py' 2025-06-05T19:04:25.5974220Z adding 'executorch/examples/models/wav2letter/__init__.py' 2025-06-05T19:04:25.5974480Z adding 'executorch/examples/models/wav2letter/model.py' 2025-06-05T19:04:25.5974700Z adding 'executorch/exir/__init__.py' 2025-06-05T19:04:25.5974880Z adding 'executorch/exir/_warnings.py' 2025-06-05T19:04:25.5975070Z adding 'executorch/exir/common.py' 2025-06-05T19:04:25.5975250Z adding 'executorch/exir/control_flow.py' 2025-06-05T19:04:25.5975450Z adding 'executorch/exir/delegate.py' 2025-06-05T19:04:25.5975630Z adding 'executorch/exir/delegate.pyi' 2025-06-05T19:04:25.5975830Z adding 'executorch/exir/dim_order_utils.py' 2025-06-05T19:04:25.5976040Z adding 'executorch/exir/dynamic_shape.py' 2025-06-05T19:04:25.5976240Z adding 'executorch/exir/error.py' 2025-06-05T19:04:25.5976410Z adding 'executorch/exir/graph.py' 2025-06-05T19:04:25.5976590Z adding 'executorch/exir/graph_module.py' 2025-06-05T19:04:25.5976880Z adding 'executorch/exir/lowered_backend_module.py' 2025-06-05T19:04:25.5977100Z adding 'executorch/exir/memory.py' 2025-06-05T19:04:25.5977300Z adding 'executorch/exir/memory_planning.py' 2025-06-05T19:04:25.5977500Z adding 'executorch/exir/pass_base.py' 2025-06-05T19:04:25.5977700Z adding 'executorch/exir/pass_manager.py' 2025-06-05T19:04:25.5977900Z adding 'executorch/exir/print_program.py' 2025-06-05T19:04:25.5978100Z adding 'executorch/exir/scalar_type.py' 2025-06-05T19:04:25.5978290Z adding 'executorch/exir/schema.py' 2025-06-05T19:04:25.5978470Z adding 'executorch/exir/sym_util.py' 2025-06-05T19:04:25.5978650Z adding 'executorch/exir/tensor.py' 2025-06-05T19:04:25.5978830Z adding 'executorch/exir/tracer.py' 2025-06-05T19:04:25.5979020Z adding 'executorch/exir/types.py' 2025-06-05T19:04:25.5979200Z adding 'executorch/exir/version.py' 2025-06-05T19:04:25.5979370Z adding 'executorch/exir/wrap.py' 2025-06-05T19:04:25.5979570Z adding 'executorch/exir/_serialize/__init__.py' 2025-06-05T19:04:25.5979790Z adding 'executorch/exir/_serialize/_cord.py' 2025-06-05T19:04:25.5980020Z adding 'executorch/exir/_serialize/_dataclass.py' 2025-06-05T19:04:25.5980260Z adding 'executorch/exir/_serialize/_flatbuffer.py' 2025-06-05T19:04:25.5980510Z adding 'executorch/exir/_serialize/_named_data_store.py' 2025-06-05T19:04:25.5980830Z adding 'executorch/exir/_serialize/_program.py' 2025-06-05T19:04:25.5981060Z adding 'executorch/exir/_serialize/_serialize.py' 2025-06-05T19:04:25.5981310Z adding 'executorch/exir/_serialize/data_serializer.py' 2025-06-05T19:04:25.5981550Z adding 'executorch/exir/_serialize/padding.py' 2025-06-05T19:04:25.5981780Z adding 'executorch/exir/_serialize/program.fbs' 2025-06-05T19:04:25.5982010Z adding 'executorch/exir/_serialize/scalar_type.fbs' 2025-06-05T19:04:25.5982250Z adding 'executorch/exir/_serialize/test/__init__.py' 2025-06-05T19:04:25.5982500Z adding 'executorch/exir/_serialize/test/test_cord.py' 2025-06-05T19:04:25.5982760Z adding 'executorch/exir/_serialize/test/test_flatbuffer.py' 2025-06-05T19:04:25.5983050Z adding 'executorch/exir/_serialize/test/test_named_data_store.py' 2025-06-05T19:04:25.5983350Z adding 'executorch/exir/_serialize/test/test_program.py' 2025-06-05T19:04:25.5983600Z adding 'executorch/exir/backend/backend_api.py' 2025-06-05T19:04:25.5983830Z adding 'executorch/exir/backend/backend_details.py' 2025-06-05T19:04:25.5984080Z adding 'executorch/exir/backend/compile_spec_schema.py' 2025-06-05T19:04:25.5984330Z adding 'executorch/exir/backend/operator_support.py' 2025-06-05T19:04:25.5984560Z adding 'executorch/exir/backend/partitioner.py' 2025-06-05T19:04:25.5984770Z adding 'executorch/exir/backend/utils.py' 2025-06-05T19:04:25.5985060Z adding 'executorch/exir/backend/canonical_partitioners/all_node_partitioner.py' 2025-06-05T19:04:25.5985460Z adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py' 2025-06-05T19:04:25.5985880Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py' 2025-06-05T19:04:25.5986320Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py' 2025-06-05T19:04:25.5986730Z adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py' 2025-06-05T19:04:25.5987110Z adding 'executorch/exir/backend/test/backend_with_compiler_demo.py' 2025-06-05T19:04:25.5987460Z adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py' 2025-06-05T19:04:25.5987820Z adding 'executorch/exir/backend/test/backend_with_named_data_map.py' 2025-06-05T19:04:25.5988160Z adding 'executorch/exir/backend/test/backend_with_preprocess_all_demo.py' 2025-06-05T19:04:25.5988490Z adding 'executorch/exir/backend/test/hta_partitioner_demo.py' 2025-06-05T19:04:25.5988780Z adding 'executorch/exir/backend/test/op_partitioner_demo.py' 2025-06-05T19:04:25.5989070Z adding 'executorch/exir/backend/test/qnn_backend_demo.py' 2025-06-05T19:04:25.5989430Z adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py' 2025-06-05T19:04:25.5989770Z adding 'executorch/exir/backend/test/test_backends.py' 2025-06-05T19:04:25.5990050Z adding 'executorch/exir/backend/test/test_backends_lifted.py' 2025-06-05T19:04:25.5990340Z adding 'executorch/exir/backend/test/test_backends_nested.py' 2025-06-05T19:04:25.5990640Z adding 'executorch/exir/backend/test/test_compatibility.py' 2025-06-05T19:04:25.5990930Z adding 'executorch/exir/backend/test/test_debug_handle_map.py' 2025-06-05T19:04:25.5991230Z adding 'executorch/exir/backend/test/test_delegate_map_builder.py' 2025-06-05T19:04:25.5991540Z adding 'executorch/exir/backend/test/test_graph_partition.py' 2025-06-05T19:04:25.5991850Z adding 'executorch/exir/backend/test/test_lowered_backend_module.py' 2025-06-05T19:04:25.5992150Z adding 'executorch/exir/backend/test/test_partitioner.py' 2025-06-05T19:04:25.5992400Z adding 'executorch/exir/backend/test/test_passes.py' 2025-06-05T19:04:25.5992690Z adding 'executorch/exir/backend/test/test_to_backend_multi_method.py' 2025-06-05T19:04:25.5992980Z adding 'executorch/exir/backend/test/test_utils.py' 2025-06-05T19:04:25.5993270Z adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py' 2025-06-05T19:04:25.5993610Z adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py' 2025-06-05T19:04:25.5994010Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py' 2025-06-05T19:04:25.5994400Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py' 2025-06-05T19:04:25.5994730Z adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py' 2025-06-05T19:04:25.5994980Z adding 'executorch/exir/capture/__init__.py' 2025-06-05T19:04:25.5995190Z adding 'executorch/exir/capture/_capture.py' 2025-06-05T19:04:25.5995410Z adding 'executorch/exir/capture/_config.py' 2025-06-05T19:04:25.5995620Z adding 'executorch/exir/capture/_unlift.py' 2025-06-05T19:04:25.5995830Z adding 'executorch/exir/dialects/__init__.py' 2025-06-05T19:04:25.5996040Z adding 'executorch/exir/dialects/_ops.py' 2025-06-05T19:04:25.8711910Z adding 'executorch/exir/dialects/backend/_ops.py' 2025-06-05T19:04:25.8712410Z adding 'executorch/exir/dialects/backend/test/test_backend_ops.py' 2025-06-05T19:04:25.8712680Z adding 'executorch/exir/dialects/edge/_ops.py' 2025-06-05T19:04:25.8712940Z adding 'executorch/exir/dialects/edge/edge.yaml' 2025-06-05T19:04:25.8713180Z adding 'executorch/exir/dialects/edge/arg/model.py' 2025-06-05T19:04:25.8713420Z adding 'executorch/exir/dialects/edge/arg/type.py' 2025-06-05T19:04:25.8713660Z adding 'executorch/exir/dialects/edge/dtype/runner.py' 2025-06-05T19:04:25.8713930Z adding 'executorch/exir/dialects/edge/dtype/supported.py' 2025-06-05T19:04:25.8714190Z adding 'executorch/exir/dialects/edge/dtype/utils.py' 2025-06-05T19:04:25.8714430Z adding 'executorch/exir/dialects/edge/op/api.py' 2025-06-05T19:04:25.8714680Z adding 'executorch/exir/dialects/edge/op/sample_input.py' 2025-06-05T19:04:25.8714960Z adding 'executorch/exir/dialects/edge/op/test/test_api.py' 2025-06-05T19:04:25.8715230Z adding 'executorch/exir/dialects/edge/spec/gen.py' 2025-06-05T19:04:25.8715470Z adding 'executorch/exir/dialects/edge/spec/utils.py' 2025-06-05T19:04:25.8715730Z adding 'executorch/exir/dialects/edge/test/test_edge_ops.py' 2025-06-05T19:04:25.8716050Z adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py' 2025-06-05T19:04:25.8716350Z adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py' 2025-06-05T19:04:25.8716610Z adding 'executorch/exir/emit/__init__.py' 2025-06-05T19:04:25.8716830Z adding 'executorch/exir/emit/_emit_program.py' 2025-06-05T19:04:25.8717040Z adding 'executorch/exir/emit/_emitter.py' 2025-06-05T19:04:25.8717250Z adding 'executorch/exir/emit/test/test_emit.py' 2025-06-05T19:04:25.8717470Z adding 'executorch/exir/operator/convert.py' 2025-06-05T19:04:25.8717680Z adding 'executorch/exir/operator/manip.py' 2025-06-05T19:04:25.8717970Z adding 'executorch/exir/operator/util.py' 2025-06-05T19:04:25.8718260Z adding 'executorch/exir/operator/test/test_operator.py' 2025-06-05T19:04:25.8718500Z adding 'executorch/exir/passes/__init__.py' 2025-06-05T19:04:25.8718770Z adding 'executorch/exir/passes/_quant_patterns_and_replacements.py' 2025-06-05T19:04:25.8719050Z adding 'executorch/exir/passes/const_prop_pass.py' 2025-06-05T19:04:25.8719310Z adding 'executorch/exir/passes/constant_prop_pass.py' 2025-06-05T19:04:25.8719580Z adding 'executorch/exir/passes/debug_handle_generator_pass.py' 2025-06-05T19:04:25.8719870Z adding 'executorch/exir/passes/dim_order_ops_registry.py' 2025-06-05T19:04:25.8720140Z adding 'executorch/exir/passes/dynamic_shape_prop_pass.py' 2025-06-05T19:04:25.8720430Z adding 'executorch/exir/passes/executorch_prim_ops_registry.py' 2025-06-05T19:04:25.8720730Z adding 'executorch/exir/passes/external_constants_pass.py' 2025-06-05T19:04:25.8720990Z adding 'executorch/exir/passes/init_mutable_pass.py' 2025-06-05T19:04:25.8721270Z adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py' 2025-06-05T19:04:25.8721570Z adding 'executorch/exir/passes/memory_format_ops_pass.py' 2025-06-05T19:04:25.8721830Z adding 'executorch/exir/passes/memory_planning_pass.py' 2025-06-05T19:04:25.8722100Z adding 'executorch/exir/passes/normalize_transpose_pass.py' 2025-06-05T19:04:25.8722490Z adding 'executorch/exir/passes/normalize_view_copy_base_pass.py' 2025-06-05T19:04:25.8722760Z adding 'executorch/exir/passes/pass_registry.py' 2025-06-05T19:04:25.8723010Z adding 'executorch/exir/passes/prune_empty_tensors_pass.py' 2025-06-05T19:04:25.8723260Z adding 'executorch/exir/passes/quant_fusion_pass.py' 2025-06-05T19:04:25.8723500Z adding 'executorch/exir/passes/quantize_io_pass.py' 2025-06-05T19:04:25.8723750Z adding 'executorch/exir/passes/remove_graph_asserts_pass.py' 2025-06-05T19:04:25.8724040Z adding 'executorch/exir/passes/remove_mixed_type_operators.py' 2025-06-05T19:04:25.8724300Z adding 'executorch/exir/passes/remove_noop_pass.py' 2025-06-05T19:04:25.8724570Z adding 'executorch/exir/passes/remove_unused_parameters_pass.py' 2025-06-05T19:04:25.8724870Z adding 'executorch/exir/passes/replace_aten_with_edge_pass.py' 2025-06-05T19:04:25.8725210Z adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py' 2025-06-05T19:04:25.8725560Z adding 'executorch/exir/passes/replace_edge_with_backend_pass.py' 2025-06-05T19:04:25.8725850Z adding 'executorch/exir/passes/replace_sym_size_op_pass.py' 2025-06-05T19:04:25.8726140Z adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py' 2025-06-05T19:04:25.8726430Z adding 'executorch/exir/passes/scalar_to_tensor_pass.py' 2025-06-05T19:04:25.8726670Z adding 'executorch/exir/passes/spec_prop_pass.py' 2025-06-05T19:04:25.8726910Z adding 'executorch/exir/passes/sym_shape_eval_pass.py' 2025-06-05T19:04:25.8727160Z adding 'executorch/exir/passes/sym_to_tensor_pass.py' 2025-06-05T19:04:25.8727430Z adding 'executorch/exir/passes/weights_to_outputs_pass.py' 2025-06-05T19:04:25.8727680Z adding 'executorch/exir/program/__init__.py' 2025-06-05T19:04:25.8727910Z adding 'executorch/exir/program/_fake_program.py' 2025-06-05T19:04:25.8728130Z adding 'executorch/exir/program/_program.py' 2025-06-05T19:04:25.8728340Z adding 'executorch/exir/program/test/__init__.py' 2025-06-05T19:04:25.8728590Z adding 'executorch/exir/program/test/test_fake_program.py' 2025-06-05T19:04:25.8728850Z adding 'executorch/exir/program/test/test_program.py' 2025-06-05T19:04:25.8729070Z adding 'executorch/exir/serde/__init__.py' 2025-06-05T19:04:25.8729280Z adding 'executorch/exir/serde/export_serialize.py' 2025-06-05T19:04:25.8729490Z adding 'executorch/exir/serde/schema.py' 2025-06-05T19:04:25.8729690Z adding 'executorch/exir/serde/schema_check.py' 2025-06-05T19:04:25.8729890Z adding 'executorch/exir/serde/serialize.py' 2025-06-05T19:04:25.8730090Z adding 'executorch/exir/serde/union.py' 2025-06-05T19:04:25.8730280Z adding 'executorch/exir/tests/asr_joiner.py' 2025-06-05T19:04:25.8730580Z adding 'executorch/exir/tests/common.py' 2025-06-05T19:04:25.8730800Z adding 'executorch/exir/tests/control_flow_models.py' 2025-06-05T19:04:25.8731050Z adding 'executorch/exir/tests/dynamic_shape_models.py' 2025-06-05T19:04:25.8731270Z adding 'executorch/exir/tests/models.py' 2025-06-05T19:04:25.8731480Z adding 'executorch/exir/tests/test_arg_validator.py' 2025-06-05T19:04:25.8731710Z adding 'executorch/exir/tests/test_capture.py' 2025-06-05T19:04:25.8731920Z adding 'executorch/exir/tests/test_common.py' 2025-06-05T19:04:25.8732140Z adding 'executorch/exir/tests/test_delegate.py' 2025-06-05T19:04:25.8732390Z adding 'executorch/exir/tests/test_dim_order_utils.py' 2025-06-05T19:04:25.8732660Z adding 'executorch/exir/tests/test_dynamic_shape_propagation.py' 2025-06-05T19:04:25.8732920Z adding 'executorch/exir/tests/test_error.py' 2025-06-05T19:04:25.8733130Z adding 'executorch/exir/tests/test_joint_graph.py' 2025-06-05T19:04:25.8733390Z adding 'executorch/exir/tests/test_memory_format_ops_pass.py' 2025-06-05T19:04:25.8733690Z adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py' 2025-06-05T19:04:25.8734000Z adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py' 2025-06-05T19:04:25.8734290Z adding 'executorch/exir/tests/test_memory_planning.py' 2025-06-05T19:04:25.8734520Z adding 'executorch/exir/tests/test_op_convert.py' 2025-06-05T19:04:25.8734800Z adding 'executorch/exir/tests/test_pass_infra.py' 2025-06-05T19:04:25.8735020Z adding 'executorch/exir/tests/test_passes.py' 2025-06-05T19:04:25.8735240Z adding 'executorch/exir/tests/test_print_program.py' 2025-06-05T19:04:25.8735510Z adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py' 2025-06-05T19:04:25.8735790Z adding 'executorch/exir/tests/test_quant_fusion_pass.py' 2025-06-05T19:04:25.8736040Z adding 'executorch/exir/tests/test_quantization.py' 2025-06-05T19:04:25.8736290Z adding 'executorch/exir/tests/test_quantize_io_pass.py' 2025-06-05T19:04:25.8736590Z adding 'executorch/exir/tests/test_remove_unused_parameters_pass.py' 2025-06-05T19:04:25.8736880Z adding 'executorch/exir/tests/test_remove_view_copy.py' 2025-06-05T19:04:25.8737120Z adding 'executorch/exir/tests/test_serde.py' 2025-06-05T19:04:25.8737330Z adding 'executorch/exir/tests/test_tensor.py' 2025-06-05T19:04:25.8737550Z adding 'executorch/exir/tests/test_tracer.py' 2025-06-05T19:04:25.8743150Z adding 'executorch/exir/tests/test_verification.py' 2025-06-05T19:04:25.8743390Z adding 'executorch/exir/tests/test_warnings.py' 2025-06-05T19:04:25.8743600Z adding 'executorch/exir/tests/transformer.py' 2025-06-05T19:04:25.8743830Z adding 'executorch/exir/verification/arg_validator.py' 2025-06-05T19:04:25.8744070Z adding 'executorch/exir/verification/dev_html.py' 2025-06-05T19:04:25.8744310Z adding 'executorch/exir/verification/interpreter.py' 2025-06-05T19:04:25.8744540Z adding 'executorch/exir/verification/verifier.py' 2025-06-05T19:04:25.8744800Z adding 'executorch/exir/verification/test/test_verifier.py' 2025-06-05T19:04:25.8745060Z adding 'executorch/extension/export_util/__init__.py' 2025-06-05T19:04:25.8745290Z adding 'executorch/extension/export_util/utils.py' 2025-06-05T19:04:25.8745520Z adding 'executorch/extension/flat_tensor/__init__.py' 2025-06-05T19:04:25.8745790Z adding 'executorch/extension/flat_tensor/serialize/__init__.py' 2025-06-05T19:04:25.8746090Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs' 2025-06-05T19:04:25.8746420Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py' 2025-06-05T19:04:25.8746750Z adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs' 2025-06-05T19:04:25.8747060Z adding 'executorch/extension/flat_tensor/serialize/serialize.py' 2025-06-05T19:04:25.8747370Z adding 'executorch/extension/flat_tensor/test/test_serialize.py' 2025-06-05T19:04:25.8747650Z adding 'executorch/extension/gguf_util/convert_main.py' 2025-06-05T19:04:25.8747970Z adding 'executorch/extension/gguf_util/converter.py' 2025-06-05T19:04:25.8748240Z adding 'executorch/extension/gguf_util/load_gguf.py' 2025-06-05T19:04:25.8748520Z adding 'executorch/extension/gguf_util/converters/llama_converter.py' 2025-06-05T19:04:25.8748820Z adding 'executorch/extension/llm/custom_ops/__init__.py' 2025-06-05T19:04:25.8749090Z adding 'executorch/extension/llm/custom_ops/custom_ops.py' 2025-06-05T19:04:25.8749410Z adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.dylib' 2025-06-05T19:04:25.8749740Z adding 'executorch/extension/llm/custom_ops/model_sharding.py' 2025-06-05T19:04:25.8750040Z adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py' 2025-06-05T19:04:25.8750360Z adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py' 2025-06-05T19:04:25.8750720Z adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py' 2025-06-05T19:04:25.8751070Z adding 'executorch/extension/llm/custom_ops/test_quantized_sdpa.py' 2025-06-05T19:04:25.8751400Z adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py' 2025-06-05T19:04:25.8751740Z adding 'executorch/extension/llm/custom_ops/test_update_cache.py' 2025-06-05T19:04:25.8752100Z adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py' 2025-06-05T19:04:25.8752500Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py' 2025-06-05T19:04:25.8752980Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py' 2025-06-05T19:04:25.8753290Z adding 'executorch/extension/llm/export/__init__.py' 2025-06-05T19:04:25.8753540Z adding 'executorch/extension/llm/export/builder.py' 2025-06-05T19:04:25.8753800Z adding 'executorch/extension/llm/export/export_passes.py' 2025-06-05T19:04:25.8754080Z adding 'executorch/extension/llm/export/partitioner_lib.py' 2025-06-05T19:04:25.8754360Z adding 'executorch/extension/llm/export/quantizer_lib.py' 2025-06-05T19:04:25.8754650Z adding 'executorch/extension/llm/export/test_export_passes.py' 2025-06-05T19:04:25.8754930Z adding 'executorch/extension/llm/export/test/__init__.py' 2025-06-05T19:04:29.1013080Z adding 'executorch/extension/llm/export/test/test_builder.py' 2025-06-05T19:04:29.1013420Z adding 'executorch/extension/llm/modules/__init__.py' 2025-06-05T19:04:29.1013710Z adding 'executorch/extension/llm/modules/_position_embeddings.py' 2025-06-05T19:04:29.1014020Z adding 'executorch/extension/llm/modules/attention.py' 2025-06-05T19:04:29.1014280Z adding 'executorch/extension/llm/modules/kv_cache.py' 2025-06-05T19:04:29.1014540Z adding 'executorch/extension/llm/modules/test/__init__.py' 2025-06-05T19:04:29.1014840Z adding 'executorch/extension/llm/modules/test/test_attention.py' 2025-06-05T19:04:29.1015140Z adding 'executorch/extension/llm/modules/test/test_kv_cache.py' 2025-06-05T19:04:29.1015480Z adding 'executorch/extension/llm/modules/test/test_position_embeddings.py' 2025-06-05T19:04:29.1015790Z adding 'executorch/extension/llm/tokenizers/setup.py' 2025-06-05T19:04:29.1016140Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py' 2025-06-05T19:04:29.1016580Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py' 2025-06-05T19:04:29.1017010Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py' 2025-06-05T19:04:29.1017440Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py' 2025-06-05T19:04:29.1017850Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py' 2025-06-05T19:04:29.1018280Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py' 2025-06-05T19:04:29.1018760Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py' 2025-06-05T19:04:29.1019250Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py' 2025-06-05T19:04:29.1019850Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py' 2025-06-05T19:04:29.1020290Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py' 2025-06-05T19:04:29.1020670Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py' 2025-06-05T19:04:29.1021040Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py' 2025-06-05T19:04:29.1021400Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py' 2025-06-05T19:04:29.1021780Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py' 2025-06-05T19:04:29.1022200Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py' 2025-06-05T19:04:29.1022630Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py' 2025-06-05T19:04:29.1023000Z adding 'executorch/extension/llm/tokenizers/test/test_tiktoken.py' 2025-06-05T19:04:29.1023360Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py' 2025-06-05T19:04:29.1023770Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py' 2025-06-05T19:04:29.1024200Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py' 2025-06-05T19:04:29.1024650Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py' 2025-06-05T19:04:29.1025310Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py' 2025-06-05T19:04:29.1025800Z adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py' 2025-06-05T19:04:29.1026290Z adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py' 2025-06-05T19:04:29.1026760Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py' 2025-06-05T19:04:29.1027250Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py' 2025-06-05T19:04:29.1027760Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py' 2025-06-05T19:04:29.1028240Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py' 2025-06-05T19:04:29.1028690Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py' 2025-06-05T19:04:29.1029110Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py' 2025-06-05T19:04:29.1029510Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py' 2025-06-05T19:04:29.1029930Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py' 2025-06-05T19:04:29.1030370Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py' 2025-06-05T19:04:29.1030790Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py' 2025-06-05T19:04:29.1031200Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py' 2025-06-05T19:04:29.1031610Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py' 2025-06-05T19:04:29.1032020Z adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py' 2025-06-05T19:04:29.1032410Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py' 2025-06-05T19:04:29.1032770Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py' 2025-06-05T19:04:29.1033150Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py' 2025-06-05T19:04:29.1033550Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py' 2025-06-05T19:04:29.1033990Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py' 2025-06-05T19:04:29.1034420Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py' 2025-06-05T19:04:29.1034900Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py' 2025-06-05T19:04:29.1035330Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py' 2025-06-05T19:04:29.1035820Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py' 2025-06-05T19:04:29.1036360Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py' 2025-06-05T19:04:29.1036960Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py' 2025-06-05T19:04:29.1037740Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py' 2025-06-05T19:04:29.1038280Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py' 2025-06-05T19:04:29.1038780Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py' 2025-06-05T19:04:29.1039220Z adding 'executorch/extension/module/test/resources/gen_bundled_program.py' 2025-06-05T19:04:29.1039590Z adding 'executorch/extension/pybindings/_portable_lib.cpython-311-darwin.so' 2025-06-05T19:04:29.1039910Z adding 'executorch/extension/pybindings/portable_lib.py' 2025-06-05T19:04:29.1040170Z adding 'executorch/extension/pybindings/pybindings.pyi' 2025-06-05T19:04:29.1040470Z adding 'executorch/extension/pybindings/test/make_test.py' 2025-06-05T19:04:29.1040780Z adding 'executorch/extension/pybindings/test/test_backend_pybinding.py' 2025-06-05T19:04:29.1041100Z adding 'executorch/extension/pybindings/test/test_pybindings.py' 2025-06-05T19:04:29.1041360Z adding 'executorch/extension/pytree/__init__.py' 2025-06-05T19:04:29.1041590Z adding 'executorch/extension/pytree/test/test.py' 2025-06-05T19:04:29.1041820Z adding 'executorch/extension/training/__init__.py' 2025-06-05T19:04:29.1042090Z adding 'executorch/extension/training/examples/XOR/export_model.py' 2025-06-05T19:04:29.1042390Z adding 'executorch/extension/training/examples/XOR/model.py' 2025-06-05T19:04:29.1042710Z adding 'executorch/extension/training/examples/XOR/test/test_export.py' 2025-06-05T19:04:29.1043040Z adding 'executorch/extension/training/pybindings/_training_lib.pyi' 2025-06-05T19:04:29.1043360Z adding 'executorch/extension/training/pybindings/_training_module.py' 2025-06-05T19:04:29.1043670Z adding 'executorch/extension/training/pybindings/test/test.py' 2025-06-05T19:04:29.1044060Z adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h' 2025-06-05T19:04:29.1044500Z adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h' 2025-06-05T19:04:29.1044870Z adding 'executorch/include/executorch/extension/kernel_util/type_list.h' 2025-06-05T19:04:29.1045200Z adding 'executorch/include/executorch/extension/tensor/tensor.h' 2025-06-05T19:04:29.1045530Z adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h' 2025-06-05T19:04:29.1045870Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h' 2025-06-05T19:04:29.1046210Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h' 2025-06-05T19:04:29.1046570Z adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h' 2025-06-05T19:04:29.1046930Z adding 'executorch/include/executorch/extension/threadpool/threadpool.h' 2025-06-05T19:04:29.1047290Z adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h' 2025-06-05T19:04:29.1047630Z adding 'executorch/include/executorch/runtime/core/array_ref.h' 2025-06-05T19:04:29.1047930Z adding 'executorch/include/executorch/runtime/core/data_loader.h' 2025-06-05T19:04:29.1048220Z adding 'executorch/include/executorch/runtime/core/defines.h' 2025-06-05T19:04:29.1048490Z adding 'executorch/include/executorch/runtime/core/error.h' 2025-06-05T19:04:29.1048770Z adding 'executorch/include/executorch/runtime/core/evalue.h' 2025-06-05T19:04:29.1049130Z adding 'executorch/include/executorch/runtime/core/event_tracer.h' 2025-06-05T19:04:29.1049500Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h' 2025-06-05T19:04:29.1049870Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h' 2025-06-05T19:04:29.1050230Z adding 'executorch/include/executorch/runtime/core/freeable_buffer.h' 2025-06-05T19:04:29.1050550Z adding 'executorch/include/executorch/runtime/core/function_ref.h' 2025-06-05T19:04:29.1050900Z adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h' 2025-06-05T19:04:29.1051250Z adding 'executorch/include/executorch/runtime/core/memory_allocator.h' 2025-06-05T19:04:29.1051570Z adding 'executorch/include/executorch/runtime/core/named_data_map.h' 2025-06-05T19:04:29.1051870Z adding 'executorch/include/executorch/runtime/core/result.h' 2025-06-05T19:04:29.1052140Z adding 'executorch/include/executorch/runtime/core/span.h' 2025-06-05T19:04:29.1052410Z adding 'executorch/include/executorch/runtime/core/tag.h' 2025-06-05T19:04:30.2647720Z adding 'executorch/include/executorch/runtime/core/tensor_layout.h' 2025-06-05T19:04:30.2648640Z adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h' 2025-06-05T19:04:30.2649060Z adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h' 2025-06-05T19:04:30.2649670Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h' 2025-06-05T19:04:30.2650130Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h' 2025-06-05T19:04:30.2650560Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h' 2025-06-05T19:04:30.2650980Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h' 2025-06-05T19:04:30.2651430Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h' 2025-06-05T19:04:30.2651910Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h' 2025-06-05T19:04:30.2652350Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h' 2025-06-05T19:04:30.2652740Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h' 2025-06-05T19:04:30.2653140Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h' 2025-06-05T19:04:30.2653540Z adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h' 2025-06-05T19:04:30.2653930Z adding 'executorch/include/executorch/runtime/core/portable_type/complex.h' 2025-06-05T19:04:30.2654310Z adding 'executorch/include/executorch/runtime/core/portable_type/device.h' 2025-06-05T19:04:30.2654670Z adding 'executorch/include/executorch/runtime/core/portable_type/half.h' 2025-06-05T19:04:30.2655030Z adding 'executorch/include/executorch/runtime/core/portable_type/optional.h' 2025-06-05T19:04:30.2655400Z adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h' 2025-06-05T19:04:30.2655770Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h' 2025-06-05T19:04:30.2656140Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h' 2025-06-05T19:04:30.2656520Z adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h' 2025-06-05T19:04:30.2656890Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h' 2025-06-05T19:04:30.2657250Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h' 2025-06-05T19:04:30.2657640Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h' 2025-06-05T19:04:30.2658060Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h' 2025-06-05T19:04:30.2658490Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h' 2025-06-05T19:04:30.2658940Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h' 2025-06-05T19:04:30.2659610Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h' 2025-06-05T19:04:30.2660060Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h' 2025-06-05T19:04:30.2660490Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h' 2025-06-05T19:04:30.2660920Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h' 2025-06-05T19:04:30.2661360Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h' 2025-06-05T19:04:30.2661820Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h' 2025-06-05T19:04:30.2662250Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h' 2025-06-05T19:04:30.2662690Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h' 2025-06-05T19:04:30.2663150Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h' 2025-06-05T19:04:30.2663660Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h' 2025-06-05T19:04:30.2664130Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h' 2025-06-05T19:04:30.2664580Z adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h' 2025-06-05T19:04:30.2664940Z adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h' 2025-06-05T19:04:30.2665300Z adding 'executorch/include/executorch/runtime/kernel/operator_registry.h' 2025-06-05T19:04:30.2665680Z adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h' 2025-06-05T19:04:30.2666040Z adding 'executorch/include/executorch/runtime/kernel/test/test_util.h' 2025-06-05T19:04:30.2666360Z adding 'executorch/include/executorch/runtime/platform/abort.h' 2025-06-05T19:04:30.2666660Z adding 'executorch/include/executorch/runtime/platform/assert.h' 2025-06-05T19:04:30.2666970Z adding 'executorch/include/executorch/runtime/platform/clock.h' 2025-06-05T19:04:30.2667290Z adding 'executorch/include/executorch/runtime/platform/compat_unistd.h' 2025-06-05T19:04:30.2667610Z adding 'executorch/include/executorch/runtime/platform/compiler.h' 2025-06-05T19:04:30.2667930Z adding 'executorch/include/executorch/runtime/platform/log.h' 2025-06-05T19:04:30.2668230Z adding 'executorch/include/executorch/runtime/platform/platform.h' 2025-06-05T19:04:30.2668550Z adding 'executorch/include/executorch/runtime/platform/profiler.h' 2025-06-05T19:04:30.2668850Z adding 'executorch/include/executorch/runtime/platform/runtime.h' 2025-06-05T19:04:30.2669150Z adding 'executorch/include/executorch/runtime/platform/system.h' 2025-06-05T19:04:30.2669450Z adding 'executorch/include/executorch/runtime/platform/types.h' 2025-06-05T19:04:30.2669760Z adding 'executorch/include/executorch/runtime/platform/test/pal_spy.h' 2025-06-05T19:04:30.2670120Z adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h' 2025-06-05T19:04:30.2670420Z adding 'executorch/kernels/quantized/__init__.py' 2025-06-05T19:04:30.2670700Z adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.dylib' 2025-06-05T19:04:30.2670980Z adding 'executorch/kernels/quantized/quantized.yaml' 2025-06-05T19:04:30.2671270Z adding 'executorch/kernels/quantized/test/supported_features_def.yaml' 2025-06-05T19:04:30.2671590Z adding 'executorch/kernels/quantized/test/test_out_variants.py' 2025-06-05T19:04:30.2671910Z adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py' 2025-06-05T19:04:30.2672180Z adding 'executorch/runtime/__init__.py' 2025-06-05T19:04:30.2672400Z adding 'executorch/runtime/kernel/test/functions.yaml' 2025-06-05T19:04:30.2672640Z adding 'executorch/runtime/test/test_runtime.py' 2025-06-05T19:04:30.2672840Z adding 'executorch/schema/program.fbs' 2025-06-05T19:04:30.2673120Z adding 'executorch/schema/scalar_type.fbs' 2025-06-05T19:04:30.2673380Z adding 'executorch/share/cmake/executorch-config.cmake' 2025-06-05T19:04:30.2673640Z adding 'executorch/util/activation_memory_profiler.py' 2025-06-05T19:04:30.2673860Z adding 'executorch/util/collect_env.py' 2025-06-05T19:04:30.2674050Z adding 'executorch/util/python_profiler.py' 2025-06-05T19:04:30.2674300Z adding 'executorch-0.7.0a0+bd57234.dist-info/licenses/LICENSE' 2025-06-05T19:04:30.2674570Z adding 'executorch-0.7.0a0+bd57234.dist-info/METADATA' 2025-06-05T19:04:30.2674810Z adding 'executorch-0.7.0a0+bd57234.dist-info/WHEEL' 2025-06-05T19:04:30.2675080Z adding 'executorch-0.7.0a0+bd57234.dist-info/entry_points.txt' 2025-06-05T19:04:30.2675360Z adding 'executorch-0.7.0a0+bd57234.dist-info/top_level.txt' 2025-06-05T19:04:30.2675620Z adding 'executorch-0.7.0a0+bd57234.dist-info/RECORD' 2025-06-05T19:04:30.2675850Z removing pip-out/bdist.macosx-11.1-arm64/wheel 2025-06-05T19:04:30.2676130Z Building wheel for executorch (pyproject.toml): finished with status 'done' 2025-06-05T19:04:30.2676750Z Created wheel for executorch: filename=executorch-0.7.0a0+bd57234-cp311-cp311-macosx_12_0_arm64.whl size=9162020 sha256=cd73a291b970f2ecbced75023fc742e54dfb86b5965bbaa4b50c31e9e4a7ddaa 2025-06-05T19:04:30.2677660Z Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-q6dp6t_r/wheels/cc/44/ec/d23930f3d4a5154d91c79a961f3618fc9e1922a1fa64d3ad38 2025-06-05T19:04:30.2678250Z Successfully built executorch 2025-06-05T19:04:30.2678690Z Installing collected packages: flatbuffers, tabulate, pytest, pyaml, protobuf, execnet, cattrs, pytest-xdist, pytest-rerunfailures, coremltools, executorch 2025-06-05T19:04:30.2679290Z changing mode of /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/tabulate to 755 2025-06-05T19:04:30.2679600Z Attempting uninstall: pytest 2025-06-05T19:04:30.2679780Z Found existing installation: pytest 7.2.0 2025-06-05T19:04:30.2679970Z Uninstalling pytest-7.2.0: 2025-06-05T19:04:30.2680280Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/py.test 2025-06-05T19:04:30.2680740Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/pytest 2025-06-05T19:04:30.2681330Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/__pycache__/py.cpython-311.pyc 2025-06-05T19:04:30.2681980Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/_pytest/ 2025-06-05T19:04:30.2682560Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/py.py 2025-06-05T19:04:30.2683180Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/pytest-7.2.0.dist-info/ 2025-06-05T19:04:30.2683820Z Removing file or directory /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/pytest/ 2025-06-05T19:04:30.2684220Z Successfully uninstalled pytest-7.2.0 2025-06-05T19:04:30.2684550Z changing mode of /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/py.test to 755 2025-06-05T19:04:30.2684980Z changing mode of /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/pytest to 755 2025-06-05T19:04:30.2685430Z changing mode of /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/pyaml to 755 2025-06-05T19:04:30.2685870Z changing mode of /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/flatc to 755 2025-06-05T19:04:30.2686120Z 2025-06-05T19:04:30.2686590Z Successfully installed cattrs-25.1.1 coremltools-8.3.0 execnet-2.1.1 executorch-0.7.0a0+bd57234 flatbuffers-25.2.10 protobuf-6.31.1 pyaml-25.5.0 pytest-8.4.0 pytest-rerunfailures-15.1 pytest-xdist-3.7.0 tabulate-0.9.0 2025-06-05T19:04:32.7889710Z + pip list 2025-06-05T19:04:32.7891220Z Package Version Editable project location 2025-06-05T19:04:32.7891640Z ----------------------------- ------------------ --------------------------------------------------------------------------------------------------------- 2025-06-05T19:04:32.7891980Z aiohappyeyeballs 2.6.1 2025-06-05T19:04:32.7892170Z aiohttp 3.12.9 2025-06-05T19:04:32.7892340Z aiosignal 1.3.2 2025-06-05T19:04:32.7892510Z alabaster 0.7.16 2025-06-05T19:04:32.7892690Z antlr4-python3-runtime 4.9.3 2025-06-05T19:04:32.7892870Z attrs 25.3.0 2025-06-05T19:04:32.7893050Z babel 2.17.0 2025-06-05T19:04:32.7893220Z beautifulsoup4 4.13.4 2025-06-05T19:04:32.7893390Z blobfile 3.0.0 2025-06-05T19:04:32.7899080Z breathe 4.34.0 2025-06-05T19:04:32.7899300Z bs4 0.0.2 2025-06-05T19:04:32.7899510Z cattrs 25.1.1 2025-06-05T19:04:32.7899690Z certifi 2025.4.26 2025-06-05T19:04:32.7899880Z charset-normalizer 3.4.2 2025-06-05T19:04:32.7900060Z cmake 3.31.6 2025-06-05T19:04:32.7900240Z contourpy 1.3.2 2025-06-05T19:04:32.7900420Z coremltools 8.3.0 2025-06-05T19:04:32.7900710Z coverage 7.8.2 2025-06-05T19:04:32.7900880Z cycler 0.12.1 2025-06-05T19:04:32.7901060Z datasets 3.6.0 2025-06-05T19:04:32.7901220Z dill 0.3.8 2025-06-05T19:04:32.7901380Z docutils 0.16 2025-06-05T19:04:32.7901550Z execnet 2.1.1 2025-06-05T19:04:32.7901740Z executorch 0.7.0a0+bd57234 2025-06-05T19:04:32.7901940Z exhale 0.2.3 2025-06-05T19:04:32.7902100Z expecttest 0.1.6 2025-06-05T19:04:32.7902280Z filelock 3.18.0 2025-06-05T19:04:32.7902460Z flatbuffers 25.2.10 2025-06-05T19:04:32.7902640Z fonttools 4.58.1 2025-06-05T19:04:32.7902800Z frozenlist 1.6.2 2025-06-05T19:04:32.7902980Z fsspec 2025.3.0 2025-06-05T19:04:32.7903150Z hf_transfer 0.1.9 2025-06-05T19:04:32.7903320Z hf-xet 1.1.3 2025-06-05T19:04:32.7903500Z huggingface-hub 0.32.4 2025-06-05T19:04:32.7903670Z hypothesis 6.84.2 2025-06-05T19:04:32.7903850Z idna 3.10 2025-06-05T19:04:32.7904010Z imagesize 1.4.1 2025-06-05T19:04:32.7904180Z iniconfig 2.1.0 2025-06-05T19:04:32.7904330Z Jinja2 3.1.6 2025-06-05T19:04:32.7904500Z kagglehub 0.3.12 2025-06-05T19:04:32.7904670Z kiwisolver 1.4.8 2025-06-05T19:04:32.7904840Z lxml 5.4.0 2025-06-05T19:04:32.7905010Z markdown-it-py 2.2.0 2025-06-05T19:04:32.7905190Z MarkupSafe 3.0.2 2025-06-05T19:04:32.7905370Z matplotlib 3.10.3 2025-06-05T19:04:32.7905540Z mdit-py-plugins 0.3.5 2025-06-05T19:04:32.7905710Z mdurl 0.1.2 2025-06-05T19:04:32.7905870Z mpmath 1.3.0 2025-06-05T19:04:32.7906040Z multidict 6.4.4 2025-06-05T19:04:32.7906220Z multiprocess 0.70.16 2025-06-05T19:04:32.7906400Z myst-parser 0.18.1 2025-06-05T19:04:32.7906570Z networkx 3.5 2025-06-05T19:04:32.7906730Z numpy 2.2.6 2025-06-05T19:04:32.7906900Z omegaconf 2.3.0 2025-06-05T19:04:32.7907060Z packaging 25.0 2025-06-05T19:04:32.7907220Z pandas 2.3.0 2025-06-05T19:04:32.7907390Z parameterized 0.9.0 2025-06-05T19:04:32.7907560Z pillow 11.2.1 2025-06-05T19:04:32.7907910Z pip 25.1 2025-06-05T19:04:32.7908080Z pluggy 1.6.0 2025-06-05T19:04:32.7908250Z propcache 0.3.1 2025-06-05T19:04:32.7908420Z protobuf 6.31.1 2025-06-05T19:04:32.7908590Z psutil 7.0.0 2025-06-05T19:04:32.7908760Z pyaml 25.5.0 2025-06-05T19:04:32.7908920Z pyarrow 20.0.0 2025-06-05T19:04:32.7909090Z pycryptodomex 3.23.0 2025-06-05T19:04:32.7909260Z Pygments 2.19.1 2025-06-05T19:04:32.7909430Z pyparsing 3.2.3 2025-06-05T19:04:32.7909600Z pytest 8.4.0 2025-06-05T19:04:32.7909780Z pytest-cov 4.1.0 2025-06-05T19:04:32.7909960Z pytest-rerunfailures 15.1 2025-06-05T19:04:32.7910130Z pytest-xdist 3.7.0 2025-06-05T19:04:32.7910310Z python-dateutil 2.9.0.post0 2025-06-05T19:04:32.7910760Z pytorch_sphinx_theme 0.0.24 /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/.ci/docker/src/pytorch-sphinx-theme 2025-06-05T19:04:32.7911190Z pytorch_tokenizers 0.1.0 2025-06-05T19:04:32.7911360Z pytz 2025.2 2025-06-05T19:04:32.7911520Z PyYAML 6.0.1 2025-06-05T19:04:32.7911730Z regex 2024.11.6 2025-06-05T19:04:32.7911900Z requests 2.32.3 2025-06-05T19:04:32.7912070Z ruamel.yaml 0.17.32 2025-06-05T19:04:32.7912240Z ruamel.yaml.clib 0.2.12 2025-06-05T19:04:32.7912410Z safetensors 0.5.3 2025-06-05T19:04:32.7912580Z sentencepiece 0.2.0 2025-06-05T19:04:32.7912750Z setuptools 78.1.1 2025-06-05T19:04:32.7912910Z six 1.17.0 2025-06-05T19:04:32.7913070Z snowballstemmer 3.0.1 2025-06-05T19:04:32.7913240Z sortedcontainers 2.4.0 2025-06-05T19:04:32.7913420Z soupsieve 2.7 2025-06-05T19:04:32.7913590Z Sphinx 5.3.0 2025-06-05T19:04:32.7913760Z sphinx-copybutton 0.5.0 2025-06-05T19:04:32.7913930Z sphinx_design 0.4.1 2025-06-05T19:04:32.7914100Z sphinx-gallery 0.14.0 2025-06-05T19:04:32.7914270Z sphinx_reredirects 0.1.4 2025-06-05T19:04:32.7914450Z sphinxcontrib-applehelp 2.0.0 2025-06-05T19:04:32.7925160Z sphinxcontrib-devhelp 2.0.0 2025-06-05T19:04:32.7925720Z sphinxcontrib-htmlhelp 2.1.0 2025-06-05T19:04:32.7926230Z sphinxcontrib-jsmath 1.0.1 2025-06-05T19:04:32.7926730Z sphinxcontrib-qthelp 2.0.0 2025-06-05T19:04:32.7927250Z sphinxcontrib-serializinghtml 2.0.0 2025-06-05T19:04:32.7927750Z sympy 1.14.0 2025-06-05T19:04:32.7928210Z tabulate 0.9.0 2025-06-05T19:04:32.7928680Z tiktoken 0.9.0 2025-06-05T19:04:32.7929160Z timm 1.0.7 2025-06-05T19:04:32.7929670Z tokenizers 0.21.1 2025-06-05T19:04:32.7930260Z tomli 2.0.1 2025-06-05T19:04:32.7930580Z torch 2.8.0a0+git5616fa4 2025-06-05T19:04:32.7930800Z torchao 0.12.0+gitbc68b11 2025-06-05T19:04:32.7931010Z torchaudio 2.6.0a0+1a8f621 2025-06-05T19:04:32.7931210Z torchdata 0.11.0 2025-06-05T19:04:32.7931370Z torchsr 1.0.4 2025-06-05T19:04:32.7931540Z torchtune 0.6.1 2025-06-05T19:04:32.7931720Z torchvision 0.22.0a0+966da7e 2025-06-05T19:04:32.7931910Z tqdm 4.67.1 2025-06-05T19:04:32.7932070Z transformers 4.47.1 2025-06-05T19:04:32.7932240Z typing_extensions 4.14.0 2025-06-05T19:04:32.7932400Z tzdata 2025.2 2025-06-05T19:04:32.7932570Z urllib3 2.4.0 2025-06-05T19:04:32.7932720Z wheel 0.37.1 2025-06-05T19:04:32.7933150Z xxhash 3.5.0 2025-06-05T19:04:32.7933320Z yarl 1.20.0 2025-06-05T19:04:32.7933480Z zstd 1.5.5.1 2025-06-05T19:04:32.7933660Z + build_executorch_runner cmake Release 2025-06-05T19:04:32.7933840Z + [[ cmake == \b\u\c\k\2 ]] 2025-06-05T19:04:32.7933990Z + [[ cmake == \c\m\a\k\e ]] 2025-06-05T19:04:32.7934160Z + build_executorch_runner_cmake Release 2025-06-05T19:04:32.7934340Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:04:32.7934510Z + clean_executorch_install_folders 2025-06-05T19:04:32.7934700Z + ./install_executorch.sh --clean 2025-06-05T19:04:32.7934870Z Cleaning build artifacts... 2025-06-05T19:04:32.7935020Z Cleaning pip-out/... 2025-06-05T19:04:32.7935170Z Done cleaning build artifacts. 2025-06-05T19:04:32.7935320Z + mkdir cmake-out 2025-06-05T19:04:32.7935440Z + pushd cmake-out 2025-06-05T19:04:32.7935820Z ~/runner/_work/executorch/executorch/pytorch/executorch/cmake-out ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:04:32.7936230Z + [[ Release == \D\e\b\u\g ]] 2025-06-05T19:04:32.7936370Z + CXXFLAGS= 2025-06-05T19:04:32.7936480Z + CXXFLAGS= 2025-06-05T19:04:32.7936700Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-06-05T19:04:32.7937020Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-06-05T19:04:32.7937400Z -- The C compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:32.7937710Z -- The CXX compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:32.7937960Z -- Detecting C compiler ABI info 2025-06-05T19:04:32.7938150Z -- Detecting C compiler ABI info - done 2025-06-05T19:04:32.7938540Z -- Check for working C compiler: /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc - skipped 2025-06-05T19:04:32.7938920Z -- Detecting C compile features 2025-06-05T19:04:32.7939090Z -- Detecting C compile features - done 2025-06-05T19:04:32.7939280Z -- Detecting CXX compiler ABI info 2025-06-05T19:04:32.7939480Z -- Detecting CXX compiler ABI info - done 2025-06-05T19:04:32.7939860Z -- Check for working CXX compiler: /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ - skipped 2025-06-05T19:04:32.7940230Z -- Detecting CXX compile features 2025-06-05T19:04:32.7940410Z -- Detecting CXX compile features - done 2025-06-05T19:04:32.7940600Z -- --- Configured Options --- 2025-06-05T19:04:32.7940710Z 2025-06-05T19:04:32.7940780Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T19:04:32.7941000Z -- CMAKE_SYSTEM_PROCESSOR : arm64 2025-06-05T19:04:32.7941220Z -- CMAKE_BUILD_TYPE : Release 2025-06-05T19:04:32.7941450Z -- PYTHON_EXECUTABLE : python 2025-06-05T19:04:32.7941680Z -- CMAKE_CXX_COMPILER_ID : AppleClang 2025-06-05T19:04:32.7941910Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T19:04:32.7942130Z -- BUCK2 x (unset) 2025-06-05T19:04:32.7942350Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-06-05T19:04:32.7942570Z -- EXECUTORCH_BUILD_COREML : OFF 2025-06-05T19:04:32.7942780Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T19:04:32.7943010Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T19:04:32.7943490Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T19:04:32.7943960Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T19:04:32.7944190Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T19:04:32.7944400Z -- EXECUTORCH_ENABLE_EVENT_TRACER : OFF 2025-06-05T19:04:32.7944620Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T19:04:32.7944830Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T19:04:32.7945040Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-06-05T19:04:32.7945260Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-06-05T19:04:32.7945560Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : OFF 2025-06-05T19:04:32.7945830Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-06-05T19:04:32.7946050Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF 2025-06-05T19:04:32.7946270Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T19:04:32.7946490Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2025-06-05T19:04:32.7946720Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-06-05T19:04:32.7946940Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : OFF 2025-06-05T19:04:32.7947160Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T19:04:32.7947390Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T19:04:32.7947610Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T19:04:32.7947820Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T19:04:32.7948040Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T19:04:32.7948240Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-06-05T19:04:32.7948440Z -- EXECUTORCH_BUILD_QNN : OFF 2025-06-05T19:04:32.7948660Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-06-05T19:04:32.7948880Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : OFF 2025-06-05T19:04:32.7949100Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-06-05T19:04:32.7949310Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T19:04:32.7949570Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T19:04:32.7949780Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T19:04:34.3064650Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T19:04:34.3065400Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-06-05T19:04:34.3070220Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T19:04:34.3071020Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T19:04:34.3071780Z -- EXECUTORCH_USE_DL : ON 2025-06-05T19:04:34.3072550Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T19:04:34.3073330Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T19:04:34.3074090Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T19:04:34.3074870Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T19:04:34.3075650Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T19:04:34.3076430Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T19:04:34.3077210Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2025-06-05T19:04:34.3077990Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T19:04:34.3078790Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T19:04:34.3079580Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T19:04:34.3080330Z -- -------------------------- 2025-06-05T19:04:34.3081600Z -- Using the multi-header code from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/json/include/ 2025-06-05T19:04:34.3083100Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T19:04:34.3084680Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3086320Z CMake. 2025-06-05T19:04:34.3086720Z 2025-06-05T19:04:34.3087550Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3092500Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3095010Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3096830Z 2025-06-05T19:04:34.3097040Z 2025-06-05T19:04:34.3098280Z -- dist install dir /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc 2025-06-05T19:04:34.3100110Z -- lib install dir /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc/lib 2025-06-05T19:04:34.3101170Z -- Setting Clang compiler options 2025-06-05T19:04:34.3102680Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T19:04:34.3104920Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:04:34.3105650Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3107950Z CMake. 2025-06-05T19:04:34.3108160Z 2025-06-05T19:04:34.3108530Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3109490Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3110280Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3110780Z 2025-06-05T19:04:34.3110790Z 2025-06-05T19:04:34.3111450Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:04:34.3112290Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3112550Z CMake. 2025-06-05T19:04:34.3112620Z 2025-06-05T19:04:34.3112780Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3113140Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3113450Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3113610Z 2025-06-05T19:04:34.3113620Z 2025-06-05T19:04:34.3113870Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T19:04:34.3114490Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3114740Z CMake. 2025-06-05T19:04:34.3114810Z 2025-06-05T19:04:34.3114950Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3115300Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3115590Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3115750Z 2025-06-05T19:04:34.3115750Z 2025-06-05T19:04:34.3115820Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T19:04:34.3116070Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T19:04:34.3116290Z -- Found Threads: TRUE 2025-06-05T19:04:34.3116450Z -- Resolved buck2 as buck2. 2025-06-05T19:04:34.3116600Z -- Killing buck2 daemon 2025-06-05T19:04:34.3116740Z 'buck2 killall' 2025-06-05T19:04:34.3116890Z -- executorch: Generating source lists 2025-06-05T19:04:34.3117360Z -- executorch: Generating source file list /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T19:04:34.3118050Z -- executorch: Using sources file /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T19:04:34.3118470Z -- Generating operator lib: 2025-06-05T19:04:34.3118630Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:04:34.3119010Z -- OPS_SCHEMA_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T19:04:34.3119390Z -- ROOT_OPS: 2025-06-05T19:04:34.3119520Z -- INCLUDE_ALL_OPS: 2025-06-05T19:04:34.3120420Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml" 2025-06-05T19:04:34.3121370Z -- Generating kernel bindings: 2025-06-05T19:04:34.3121560Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:04:34.3121940Z -- FUNCTIONS_YAML: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T19:04:34.3122320Z -- CUSTOM_OPS_YAML: 2025-06-05T19:04:34.3122470Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T19:04:34.3123920Z Generated files /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2025-06-05T19:04:34.3125330Z -- Generating operator lib: 2025-06-05T19:04:34.3125490Z -- LIB_NAME: portable_ops_lib 2025-06-05T19:04:34.3125670Z -- KERNEL_LIBS: portable_kernels 2025-06-05T19:04:34.3125840Z -- DEPS: executorch_core 2025-06-05T19:04:34.3126130Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T19:04:34.3126520Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3126770Z CMake. 2025-06-05T19:04:34.3126830Z 2025-06-05T19:04:34.3126970Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3127310Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3127600Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3127770Z 2025-06-05T19:04:34.3127770Z 2025-06-05T19:04:34.3127830Z -- Looking for C++ include unistd.h 2025-06-05T19:04:34.3128020Z -- Looking for C++ include unistd.h - found 2025-06-05T19:04:34.3128220Z -- Looking for C++ include stdint.h 2025-06-05T19:04:34.3128410Z -- Looking for C++ include stdint.h - found 2025-06-05T19:04:34.3128660Z -- Looking for C++ include inttypes.h 2025-06-05T19:04:34.3128860Z -- Looking for C++ include inttypes.h - found 2025-06-05T19:04:34.3129060Z -- Looking for C++ include sys/types.h 2025-06-05T19:04:34.3129250Z -- Looking for C++ include sys/types.h - found 2025-06-05T19:04:34.3129460Z -- Looking for C++ include sys/stat.h 2025-06-05T19:04:34.3129650Z -- Looking for C++ include sys/stat.h - found 2025-06-05T19:04:34.3129850Z -- Looking for C++ include fnmatch.h 2025-06-05T19:04:34.3130040Z -- Looking for C++ include fnmatch.h - found 2025-06-05T19:04:34.3130240Z -- Looking for C++ include stddef.h 2025-06-05T19:04:34.3130420Z -- Looking for C++ include stddef.h - found 2025-06-05T19:04:34.3130610Z -- Check size of uint32_t 2025-06-05T19:04:34.3130770Z -- Check size of uint32_t - done 2025-06-05T19:04:34.3130930Z -- Looking for strtoll 2025-06-05T19:04:34.3131080Z -- Looking for strtoll - found 2025-06-05T19:04:34.3131240Z -- Configuring done (2.7s) 2025-06-05T19:04:34.3131390Z -- Generating done (0.1s) 2025-06-05T19:04:34.3131730Z -- Build files have been written to: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/cmake-out 2025-06-05T19:04:34.3132080Z + popd 2025-06-05T19:04:34.3132230Z ~/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:04:34.3132430Z ++ uname 2025-06-05T19:04:34.3132550Z + '[' Darwin == Darwin ']' 2025-06-05T19:04:34.3132690Z ++ sysctl -n hw.ncpu 2025-06-05T19:04:34.3132820Z + CMAKE_JOBS=7 2025-06-05T19:04:34.3132950Z + cmake --build cmake-out -j 7 2025-06-05T19:04:34.3133150Z [ 0%] Creating directories for 'flatcc_external_project' 2025-06-05T19:04:34.3133410Z [ 1%] Creating directories for 'flatbuffers_external_project' 2025-06-05T19:04:34.3133790Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-06-05T19:04:34.3134300Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T19:04:34.3134820Z [ 3%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2025-06-05T19:04:34.3135300Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o 2025-06-05T19:04:34.3141320Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T19:04:34.3141680Z [ 3%] No download step for 'flatbuffers_external_project' 2025-06-05T19:04:34.3141940Z [ 4%] No download step for 'flatcc_external_project' 2025-06-05T19:04:34.3142190Z [ 4%] No update step for 'flatbuffers_external_project' 2025-06-05T19:04:34.3142600Z [ 4%] No update step for 'flatcc_external_project' 2025-06-05T19:04:34.3142900Z [ 4%] No patch step for 'flatbuffers_external_project' 2025-06-05T19:04:34.3143130Z [ 5%] No patch step for 'flatcc_external_project' 2025-06-05T19:04:34.3143460Z [ 5%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o 2025-06-05T19:04:34.3143840Z [ 6%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T19:04:34.3144130Z [ 6%] Performing configure step for 'flatcc_external_project' 2025-06-05T19:04:34.3144350Z CMake Warning: 2025-06-05T19:04:34.3144520Z Ignoring empty string ("") provided on the command line. 2025-06-05T19:04:34.3144690Z 2025-06-05T19:04:34.3144690Z 2025-06-05T19:04:34.3144890Z [ 6%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/log.c.o 2025-06-05T19:04:34.3145400Z [ 6%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 2025-06-05T19:04:34.3145760Z CMake Warning: 2025-06-05T19:04:34.3145940Z Ignoring empty string ("") provided on the command line. 2025-06-05T19:04:34.3146110Z 2025-06-05T19:04:34.3146110Z 2025-06-05T19:04:34.3146250Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T19:04:34.3146590Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:34.3146930Z CMake. 2025-06-05T19:04:34.3147000Z 2025-06-05T19:04:34.3147140Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:34.3147490Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:34.3147780Z to work with policies introduced by or earlier. 2025-06-05T19:04:34.3147940Z 2025-06-05T19:04:34.3147940Z 2025-06-05T19:04:34.3148020Z fatal: No names found, cannot describe anything. 2025-06-05T19:04:34.3148250Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T19:04:34.3148470Z git describe failed with exit code: 128 2025-06-05T19:04:34.3750910Z 2025-06-05T19:04:34.3753430Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T19:04:34.3754130Z Call Stack (most recent call first): 2025-06-05T19:04:34.3754610Z CMakeLists.txt:5 (include) 2025-06-05T19:04:34.3754900Z 2025-06-05T19:04:34.3754900Z 2025-06-05T19:04:34.3755090Z -- Proceeding with version: 24.3.25.0 2025-06-05T19:04:34.3756170Z [ 7%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o 2025-06-05T19:04:34.3757850Z [ 7%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o 2025-06-05T19:04:34.3759320Z [ 8%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/arm/uarch.c.o 2025-06-05T19:04:34.3760780Z [ 9%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o 2025-06-05T19:04:34.3761880Z -- The CXX compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:34.3763110Z [ 9%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o 2025-06-05T19:04:34.3764610Z [ 9%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o 2025-06-05T19:04:34.3765750Z -- The C compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:34.3766380Z -- Detecting CXX compiler ABI info 2025-06-05T19:04:34.3766860Z -- Detecting C compiler ABI info 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2025-06-05T19:04:52.1733110Z [100%] Built target executor_runner 2025-06-05T19:04:52.1733890Z + [[ '' == *main* ]] 2025-06-05T19:04:52.1734030Z + [[ '' == *gh* ]] 2025-06-05T19:04:52.1734260Z + rm -rfv /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3 2025-06-05T19:04:52.1734610Z /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/c++ 2025-06-05T19:04:52.1734970Z /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang 2025-06-05T19:04:52.1735330Z /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/clang++ 2025-06-05T19:04:52.1735680Z /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3/cc 2025-06-05T19:04:52.1736130Z /var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp.adPNaSReQ3 2025-06-05T19:04:52.1736590Z ExecuTorch: Cloning coremltools. 2025-06-05T19:04:52.1737050Z Cloning into '/Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools'... 2025-06-05T19:04:52.1737590Z Note: switching to '07ffd86005e385d8eddfd22072836cfb457f7350'. 2025-06-05T19:04:52.1737790Z 2025-06-05T19:04:52.1737930Z You are in 'detached HEAD' state. You can look around, make experimental 2025-06-05T19:04:52.1738280Z changes and commit them, and you can discard any commits you make in this 2025-06-05T19:04:52.1738640Z state without impacting any branches by switching back to a branch. 2025-06-05T19:04:52.1738850Z 2025-06-05T19:04:52.1738980Z If you want to create a new branch to retain commits you create, you may 2025-06-05T19:04:52.1739310Z do so (now or later) by using -c with the switch command. Example: 2025-06-05T19:04:52.1739500Z 2025-06-05T19:04:52.1739570Z git switch -c 2025-06-05T19:04:52.1739700Z 2025-06-05T19:04:52.1739760Z Or undo this operation with: 2025-06-05T19:04:52.1739870Z 2025-06-05T19:04:52.1739930Z git switch - 2025-06-05T19:04:52.1740010Z 2025-06-05T19:04:52.1740170Z Turn off this advice by setting config variable advice.detachedHead to false 2025-06-05T19:04:52.1740400Z 2025-06-05T19:04:52.1740600Z ExecuTorch: Installing coremltools dependencies. 2025-06-05T19:04:52.1740980Z Ignoring numpy: markers 'platform_machine == "arm64" and python_version < "3.9"' don't match your environment 2025-06-05T19:04:52.1741490Z Ignoring numpy: markers 'platform_machine != "arm64" and python_version < "3.9"' don't match your environment 2025-06-05T19:04:52.1742210Z Collecting numpy==2.0.0 (from -r /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/reqs/build.pip (line 3)) 2025-06-05T19:04:52.1742870Z Downloading numpy-2.0.0-cp311-cp311-macosx_14_0_arm64.whl.metadata (60 kB) 2025-06-05T19:04:52.1743810Z Requirement already satisfied: pytest in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from -r /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/reqs/build.pip (line 5)) (8.4.0) 2025-06-05T19:04:53.2233210Z Requirement already satisfied: six in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from -r /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/reqs/build.pip (line 6)) (1.17.0) 2025-06-05T19:04:53.2264640Z Requirement already satisfied: sympy in /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from -r 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/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages (from pyaml->-r /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/reqs/build.pip (line 12)) (6.0.1) 2025-06-05T19:04:53.2893800Z Downloading numpy-2.0.0-cp311-cp311-macosx_14_0_arm64.whl (5.2 MB) 2025-06-05T19:04:53.2894300Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.2/5.2 MB 103.7 MB/s eta 0:00:00 2025-06-05T19:04:53.2894540Z Installing collected packages: numpy 2025-06-05T19:04:53.2894720Z Attempting uninstall: numpy 2025-06-05T19:04:53.2894910Z Found existing installation: numpy 2.2.6 2025-06-05T19:04:53.2895120Z Uninstalling numpy-2.2.6: 2025-06-05T19:04:53.2895300Z Successfully uninstalled numpy-2.2.6 2025-06-05T19:04:53.2895500Z Successfully installed numpy-2.0.0 2025-06-05T19:04:53.2895740Z -- The C compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:53.2896030Z -- The CXX compiler identification is AppleClang 15.0.0.15000309 2025-06-05T19:04:53.2896280Z -- Detecting C compiler ABI info 2025-06-05T19:04:53.2896460Z -- Detecting C compiler ABI info - done 2025-06-05T19:04:53.2896790Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc - skipped 2025-06-05T19:04:53.2897090Z -- Detecting C compile features 2025-06-05T19:04:53.2897270Z -- Detecting C compile features - done 2025-06-05T19:04:53.2897760Z -- Detecting CXX compiler ABI info 2025-06-05T19:04:53.2898060Z -- Detecting CXX compiler ABI info - done 2025-06-05T19:04:53.2898380Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++ - skipped 2025-06-05T19:04:53.2898710Z -- Detecting CXX compile features 2025-06-05T19:04:53.2898900Z -- Detecting CXX compile features - done 2025-06-05T19:04:53.2899190Z CMake Deprecation Warning at deps/CMakeLists.txt:1 (cmake_minimum_required): 2025-06-05T19:04:53.2899560Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:53.2899800Z CMake. 2025-06-05T19:04:53.2899860Z 2025-06-05T19:04:53.2900000Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:53.2900350Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:53.2900640Z to work with policies introduced by or earlier. 2025-06-05T19:04:53.2900790Z 2025-06-05T19:04:53.2900800Z 2025-06-05T19:04:53.2900990Z CMake Deprecation Warning at deps/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T19:04:53.2901390Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T19:04:53.2901640Z CMake. 2025-06-05T19:04:53.2901700Z 2025-06-05T19:04:53.2901840Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T19:04:53.2902270Z to tell CMake that the project requires at least but has been updated 2025-06-05T19:04:53.2902560Z to work with policies introduced by or earlier. 2025-06-05T19:04:53.2902720Z 2025-06-05T19:04:53.2902720Z 2025-06-05T19:04:53.2902760Z -- 2025-06-05T19:04:53.2902870Z -- 3.19.0.0 2025-06-05T19:04:53.2903010Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T19:04:53.2903250Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T19:04:53.2903450Z -- Found Threads: TRUE 2025-06-05T19:04:53.2903790Z -- Found ZLIB: /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/lib/libz.tbd (found version "1.2.12") 2025-06-05T19:04:53.2904190Z -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS 2025-06-05T19:04:53.2904440Z -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success 2025-06-05T19:04:53.2904720Z CMake Warning (dev) at CMakeLists.txt:37 (find_package): 2025-06-05T19:04:53.2905040Z Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules 2025-06-05T19:04:53.2905390Z are removed. Run "cmake --help-policy CMP0148" for policy details. Use 2025-06-05T19:04:53.2905730Z the cmake_policy command to set the policy and suppress this warning. 2025-06-05T19:04:53.2905930Z 2025-06-05T19:04:53.2906060Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-06-05T19:04:53.2906280Z 2025-06-05T19:04:53.2906550Z -- Found PythonInterp: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python (found version "3.11.11") 2025-06-05T19:04:53.2907030Z CMake Warning (dev) at CMakeLists.txt:38 (find_package): 2025-06-05T19:04:53.2907340Z Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules 2025-06-05T19:04:53.2932490Z are removed. Run "cmake --help-policy CMP0148" for policy details. Use 2025-06-05T19:04:53.2933950Z the cmake_policy command to set the policy and suppress this warning. 2025-06-05T19:04:53.2934670Z 2025-06-05T19:04:53.2935020Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-06-05T19:04:53.2935580Z 2025-06-05T19:04:53.2936380Z -- Found PythonLibs: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/libpython3.11.dylib (found version "3.11.11") 2025-06-05T19:04:53.2937840Z Found python at /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:04:53.2939320Z Found python version 3.11.11 2025-06-05T19:04:53.2961400Z Found python includes /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include/python3.11 2025-06-05T19:04:53.2963820Z Found numpy include path at /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/numpy/_core/include 2025-06-05T19:04:53.2965040Z 2025-06-05T19:04:53.2966250Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T19:04:53.2967760Z !! 2025-06-05T19:04:53.2967930Z 2025-06-05T19:04:53.2968130Z ******************************************************************************** 2025-06-05T19:04:53.2969000Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T19:04:53.2969680Z 2025-06-05T19:04:53.2969910Z License :: OSI Approved :: MIT License 2025-06-05T19:04:53.2970330Z 2025-06-05T19:04:53.2970910Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T19:04:58.8136060Z ******************************************************************************** 2025-06-05T19:04:58.8236150Z 2025-06-05T19:04:58.8336960Z !! 2025-06-05T19:04:58.8437270Z self._finalize_license_expression() 2025-06-05T19:04:58.8537440Z running build_ext 2025-06-05T19:04:58.8637710Z building 'kmeans1d._core' extension 2025-06-05T19:04:58.8738820Z creating build/temp.macosx-11.1-arm64-cpython-311/kmeans1d 2025-06-05T19:04:58.8841930Z /Library/Developer/CommandLineTools/usr/bin/c++ -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include/python3.11 -c kmeans1d/_core.cpp -o build/temp.macosx-11.1-arm64-cpython-311/kmeans1d/_core.o -std=c++11 2025-06-05T19:04:58.8939250Z creating build/lib.macosx-11.1-arm64-cpython-311/kmeans1d 2025-06-05T19:04:58.9042240Z /Library/Developer/CommandLineTools/usr/bin/c++ -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/include -arch arm64 -bundle -undefined dynamic_lookup build/temp.macosx-11.1-arm64-cpython-311/kmeans1d/_core.o -o build/lib.macosx-11.1-arm64-cpython-311/kmeans1d/_core.cpython-311-darwin.so 2025-06-05T19:04:58.9141300Z copying build/lib.macosx-11.1-arm64-cpython-311/kmeans1d/_core.cpython-311-darwin.so -> kmeans1d 2025-06-05T19:04:58.9241160Z -- Configuring done (1.6s) 2025-06-05T19:04:58.9342540Z -- Generating done (0.1s) 2025-06-05T19:04:58.9444370Z -- Build files have been written to: /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/build 2025-06-05T19:04:58.9544630Z [ 0%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/arena.cc.o 2025-06-05T19:04:58.9647080Z [ 0%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/any_lite.cc.o 2025-06-05T19:04:58.9747620Z [ 0%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/arenastring.cc.o 2025-06-05T19:04:58.9749360Z [ 0%] Building CXX object 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Due to security concerns inherent in the design of sprintf(3), it is highly recommended that you use snprintf(3) instead.") 2025-06-05T19:05:03.1302890Z ^ 2025-06-05T19:05:03.1308480Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/sys/cdefs.h:218:48: note: expanded from macro '__deprecated_msg' 2025-06-05T19:05:03.1559480Z #define __deprecated_msg(_msg) __attribute__((__deprecated__(_msg))) 2025-06-05T19:05:03.1711790Z ^ 2025-06-05T19:05:03.1874680Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/stubs/strutil.cc:506:11: warning: 'sprintf' is deprecated: This function is provided for compatibility reasons only. Due to security concerns inherent in the design of sprintf(3), it is highly recommended that you use snprintf(3) instead. [-Wdeprecated-declarations] 2025-06-05T19:05:03.1884430Z sprintf(dest + used, (use_hex ? "\\x%02x" : "\\%03o"), 2025-06-05T19:05:03.2123680Z ^ 2025-06-05T19:05:03.2293580Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/stdio.h:180:1: note: 'sprintf' has been explicitly marked deprecated here 2025-06-05T19:05:03.2294600Z __deprecated_msg("This function is provided for compatibility reasons only. Due to security concerns inherent in the design of sprintf(3), it is highly recommended that you use snprintf(3) instead.") 2025-06-05T19:05:03.2437510Z ^ 2025-06-05T19:05:03.2589250Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/sys/cdefs.h:218:48: note: expanded from macro '__deprecated_msg' 2025-06-05T19:05:03.2675370Z #define __deprecated_msg(_msg) __attribute__((__deprecated__(_msg))) 2025-06-05T19:05:03.2676140Z ^ 2025-06-05T19:05:03.2678000Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.2681830Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.2684090Z } 2025-06-05T19:05:03.2684380Z ^ 2025-06-05T19:05:03.2686790Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:49:15: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<4UL>' requested here 2025-06-05T19:05:03.2689340Z template void AlignFail<4>(uintptr_t); 2025-06-05T19:05:03.2689800Z ^ 2025-06-05T19:05:03.2692010Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.2695690Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.2696710Z } 2025-06-05T19:05:03.2696810Z ^ 2025-06-05T19:05:03.2697730Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:50:15: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<8UL>' requested here 2025-06-05T19:05:03.2891510Z template void AlignFail<8>(uintptr_t); 2025-06-05T19:05:03.3089250Z ^ 2025-06-05T19:05:03.3273500Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.3382110Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.3499200Z } 2025-06-05T19:05:03.3604770Z ^ 2025-06-05T19:05:03.3708160Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:49:15: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<4UL>' requested here 2025-06-05T19:05:03.3812360Z template void AlignFail<4>(uintptr_t); 2025-06-05T19:05:03.3913750Z ^ 2025-06-05T19:05:03.4015430Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.4117350Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.4219080Z } 2025-06-05T19:05:03.4320590Z ^ 2025-06-05T19:05:03.4424140Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:50:15: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<8UL>' requested here 2025-06-05T19:05:03.4542380Z template void AlignFail<8>(uintptr_t); 2025-06-05T19:05:03.4542980Z ^ 2025-06-05T19:05:03.4644420Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.4746230Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.4847510Z } 2025-06-05T19:05:03.4948060Z ^ 2025-06-05T19:05:03.5049430Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:216:7: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<1UL>' requested here 2025-06-05T19:05:03.5151460Z AlignFail(reinterpret_cast(target)); 2025-06-05T19:05:03.5244240Z ^ 2025-06-05T19:05:03.5348820Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:311:3: note: in instantiation of function template specialization 'google::protobuf::internal::TcParser::RefAt' requested here 2025-06-05T19:05:03.5452670Z RefAt(msg, data.offset()) = 2025-06-05T19:05:03.5553630Z ^ 2025-06-05T19:05:03.5654510Z 1 warning generated. 2025-06-05T19:05:03.5756470Z In file included from /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:36: 2025-06-05T19:05:03.5857950Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:103:1: warning: function declared 'noreturn' should not return [-Winvalid-noreturn] 2025-06-05T19:05:03.5959460Z } 2025-06-05T19:05:03.6060590Z ^ 2025-06-05T19:05:03.6163870Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_impl.h:216:7: note: in instantiation of function template specialization 'google::protobuf::internal::AlignFail<1UL>' requested here 2025-06-05T19:05:03.6247630Z AlignFail(reinterpret_cast(target)); 2025-06-05T19:05:03.6248320Z ^ 2025-06-05T19:05:03.6250810Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/deps/protobuf/src/google/protobuf/generated_message_tctable_lite.cc:311:3: note: in instantiation of function template specialization 'google::protobuf::internal::TcParser::RefAt' requested here 2025-06-05T19:05:03.6253820Z RefAt(msg, data.offset()) = 2025-06-05T19:05:03.6254300Z ^ 2025-06-05T19:05:03.6254600Z 1 warning generated. 2025-06-05T19:05:03.6254970Z 3 warnings generated. 2025-06-05T19:05:03.6255350Z 3 warnings generated. 2025-06-05T19:05:03.6255860Z [ 34%] Linking CXX static library libprotobuf-lite.a 2025-06-05T19:05:03.6256420Z [ 34%] Built target libprotobuf-lite 2025-06-05T19:05:03.6256970Z [ 35%] Linking CXX static library libprotobuf.a 2025-06-05T19:05:03.6257490Z [ 35%] Built target libprotobuf 2025-06-05T19:05:03.6258580Z [ 35%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/command_line_interface.cc.o 2025-06-05T19:05:03.6260270Z [ 35%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum.cc.o 2025-06-05T19:05:03.6261890Z [ 36%] Building CXX object deps/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/code_generator.cc.o 2025-06-05T19:05:03.6263540Z [ 37%] Building CXX object 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mlmodel/CMakeFiles/mlmodel.dir/src/MILBlob/Blob/StorageWriter.cpp.o 2025-06-05T19:05:39.9476790Z [ 96%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/NonMaximumSuppressionValidator.cpp.o 2025-06-05T19:05:39.9477390Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/KNearestNeighborsClassifierValidator.cpp.o 2025-06-05T19:05:39.9477960Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/LinkedModelValidator.cpp.o 2025-06-05T19:05:39.9484010Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/SoundAnalysisPreprocessingValidator.cpp.o 2025-06-05T19:05:39.9484560Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/IdentityValidator.cpp.o 2025-06-05T19:05:39.9485040Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/ParameterValidator.cpp.o 2025-06-05T19:05:39.9485520Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/WordEmbeddingValidator.cpp.o 2025-06-05T19:05:46.8231880Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/SVMValidator.cpp.o 2025-06-05T19:05:46.8232460Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/ItemSimilarityRecommenderValidator.cpp.o 2025-06-05T19:05:46.8232990Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/transforms/Pipeline.cpp.o 2025-06-05T19:05:46.8233840Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/transforms/OneHotEncoder.cpp.o 2025-06-05T19:05:46.8234300Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/NormalizerValidator.cpp.o 2025-06-05T19:05:46.8234770Z [ 97%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/CustomModelValidator.cpp.o 2025-06-05T19:05:46.8235390Z [ 98%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/OneHotEncoderValidator.cpp.o 2025-06-05T19:05:46.8235950Z [ 98%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/NeuralNetwork/UpdatableNeuralNetworkValidator.cpp.o 2025-06-05T19:05:46.8236530Z [100%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/FeatureVectorizerValidator.cpp.o 2025-06-05T19:05:46.8237060Z [100%] Building CXX object mlmodel/CMakeFiles/mlmodel.dir/src/Validation/NeuralNetwork/NeuralNetworkShapes.cpp.o 2025-06-05T19:05:46.8238010Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/mlmodel/src/DataType.cpp:17:17: warning: enumeration value 'MLFeatureTypeType_stateType' not handled in switch [-Wswitch] 2025-06-05T19:05:46.8238760Z switch (type) { 2025-06-05T19:05:46.8238900Z ^~~~ 2025-06-05T19:05:46.8239440Z /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/backends/apple/coreml/third-party/coremltools/mlmodel/src/DataType.cpp:17:17: note: add missing switch cases 2025-06-05T19:05:46.8240010Z switch (type) { 2025-06-05T19:05:46.8240140Z ^ 2025-06-05T19:05:46.8240270Z 1 warning generated. 2025-06-05T19:05:46.8240420Z [100%] Linking CXX static library libmlmodel.a 2025-06-05T19:05:46.8240620Z [100%] Built target mlmodel 2025-06-05T19:05:46.8240910Z ExecuTorch: Copying protobuf files. 2025-06-05T19:05:46.8241110Z Finishing installing coreml. 2025-06-05T19:05:46.8241470Z ##[group]Exporting coreml model: mv3 2025-06-05T19:05:46.8241660Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:05:46.8241830Z + source .ci/scripts/utils.sh 2025-06-05T19:05:46.8241990Z + MODEL_NAME=mv3 2025-06-05T19:05:46.8242110Z + [[ -z mv3 ]] 2025-06-05T19:05:46.8242230Z + BUILD_TOOL=cmake 2025-06-05T19:05:46.8242350Z + [[ -z cmake ]] 2025-06-05T19:05:46.8242470Z + BACKEND=coreml 2025-06-05T19:05:46.8242590Z + [[ -z coreml ]] 2025-06-05T19:05:46.8242710Z + UPLOAD_DIR= 2025-06-05T19:05:46.8242820Z + [[ -z python ]] 2025-06-05T19:05:46.8242940Z + which python 2025-06-05T19:05:46.8243160Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:05:46.8243430Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:05:46.8243580Z + EXPORTED_MODEL=mv3 2025-06-05T19:05:46.8243730Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:05:46.8243890Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:05:46.8244040Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:05:46.8244210Z + echo 'Testing mv3 with coreml...' 2025-06-05T19:05:46.8244510Z Testing mv3 with coreml... 2025-06-05T19:05:46.8244780Z + should_test_coreml=false 2025-06-05T19:05:46.8244930Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:05:46.8245080Z + test_model_with_coreml false 2025-06-05T19:05:46.8245240Z + local should_test=false 2025-06-05T19:05:46.8245390Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:05:46.8245530Z + DTYPE=float16 2025-06-05T19:05:46.8245850Z + python -m examples.apple.coreml.scripts.export --model_name=mv3 --compute_precision float16 --use_partitioner 2025-06-05T19:05:46.8246520Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:05:46.8247320Z W0605 19:05:31.119000 11851 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:05:46.8248060Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8248800Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_1 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8249460Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_2 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8250220Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_3 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8250860Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_4 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8251480Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_5 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8252100Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_6 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8252740Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_7 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8253370Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_8 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8254000Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_9 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8254620Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_10 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8255260Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_11 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8255890Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_12 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8256530Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_13 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8257160Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_14 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8257780Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_15 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8258400Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_16 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8259020Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_17 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8259690Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_18 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8260370Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_19 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8261000Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_20 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8261620Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_21 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8262240Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_22 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8262860Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_23 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8263490Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_24 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8264180Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_25 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8264840Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_26 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8265460Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_27 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8266080Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_28 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8266700Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_29 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8267320Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_30 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8267940Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_31 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8268560Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_32 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8269170Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_33 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8269790Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_34 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8270410Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_35 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8271030Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_36 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8271650Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_37 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8272270Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_38 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8272890Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_39 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8273510Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_40 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8274170Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_41 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8274840Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_42 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8275470Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_43 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8276100Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_44 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8276730Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_45 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8277360Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_46 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8277990Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_47 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8278680Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_48 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8279310Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_49 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8279940Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_50 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8280560Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_51 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8281180Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_52 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8281810Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_53 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8282430Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_54 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8283050Z WARNING:coremltools:Core ML does not support scalar input, so dim_order_ops__to_dim_order_copy_default_55 has been wrapped as rank-1 size-1 tensor 2025-06-05T19:05:46.8283700Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:05:46.8284070Z 2025-06-05T19:05:46.8284210Z Converting PyTorch Frontend ==> MIL Ops: 0%| | 0/295 [00:00 MIL Ops: 100%|█████████▉| 294/295 [00:00<00:00, 4234.12 ops/s] 2025-06-05T19:05:46.8284900Z 2025-06-05T19:05:46.8285050Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00: schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (x, p_features_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6588370Z call_function aten_permute_copy_default : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_classifier_0_weight, [1, 0]) {} 2025-06-05T19:05:48.6588890Z call_function aten_permute_copy_default_1 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_classifier_3_weight, [1, 0]) {} 2025-06-05T19:05:48.6589710Z call_function aten__to_copy_default : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant68,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6590530Z call_function aten__to_copy_default_1 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant69,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6591390Z call_function aten__to_copy_default_2 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant70,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6592280Z call_function aten__to_copy_default_3 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant71,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6593130Z call_function aten__to_copy_default_4 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant72,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6593970Z call_function aten__to_copy_default_5 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant73,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6594780Z call_function aten__to_copy_default_6 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant74,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6595600Z call_function aten__to_copy_default_7 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant75,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6596410Z call_function aten__to_copy_default_8 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant76,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6597260Z call_function aten__to_copy_default_9 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant77,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6598110Z call_function aten__to_copy_default_10 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant78,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6598930Z call_function aten__to_copy_default_11 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant79,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6599780Z call_function aten__to_copy_default_12 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant80,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6600580Z call_function aten__to_copy_default_13 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant81,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6601390Z call_function aten__to_copy_default_14 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant82,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6602320Z call_function aten__to_copy_default_15 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant83,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6603230Z call_function aten__to_copy_default_16 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant84,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6604110Z call_function aten__to_copy_default_17 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant85,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6604950Z call_function aten__to_copy_default_18 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant86,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6605820Z call_function aten__to_copy_default_19 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant87,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6606660Z call_function aten__to_copy_default_20 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant88,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6607500Z call_function aten__to_copy_default_21 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant89,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6608370Z call_function aten__to_copy_default_22 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant90,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6609230Z call_function aten__to_copy_default_23 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant91,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6610060Z call_function aten__to_copy_default_24 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant92,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6610880Z call_function aten__to_copy_default_25 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant93,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6611690Z call_function aten__to_copy_default_26 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant94,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6612500Z call_function aten__to_copy_default_27 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant95,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6613310Z call_function aten__to_copy_default_28 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant96,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6614140Z call_function aten__to_copy_default_29 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant97,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6615000Z call_function aten__to_copy_default_30 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant98,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6615850Z call_function aten__to_copy_default_31 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant99,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6616690Z call_function aten__to_copy_default_32 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant100,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6617500Z call_function aten__to_copy_default_33 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant101,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6618320Z call_function aten__to_copy_default_34 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant102,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6619150Z call_function aten__to_copy_default_35 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant103,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6619990Z call_function aten__to_copy_default_36 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant104,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6620840Z call_function aten__to_copy_default_37 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant105,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6621700Z call_function aten__to_copy_default_38 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant106,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6622570Z call_function aten__to_copy_default_39 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant107,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6623400Z call_function aten__to_copy_default_40 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant108,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6624230Z call_function aten__to_copy_default_41 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant109,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6625100Z call_function aten__to_copy_default_42 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant110,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6625970Z call_function aten__to_copy_default_43 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant111,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6626890Z call_function aten__to_copy_default_44 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant112,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6627740Z call_function aten__to_copy_default_45 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant113,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6628600Z call_function aten__to_copy_default_46 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant114,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6629460Z call_function aten__to_copy_default_47 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant115,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6630330Z call_function aten__to_copy_default_48 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant116,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6631220Z call_function aten__to_copy_default_49 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant117,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6632130Z call_function aten__to_copy_default_50 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant118,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6633050Z call_function aten__to_copy_default_51 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant119,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6633950Z call_function aten__to_copy_default_52 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant120,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6634780Z call_function aten__to_copy_default_53 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant121,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6635620Z call_function aten__to_copy_default_54 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant122,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6636460Z call_function aten__to_copy_default_55 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant123,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:05:48.6637570Z call_function aten__native_batch_norm_legit_no_training_default : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default, p_features_0_1_weight, p_features_0_1_bias, b_features_0_1_running_mean, b_features_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6637980Z call_function getitem (aten__native_batch_norm_legit_no_training_default, 0) {} 2025-06-05T19:05:48.6638540Z call_function aten_add_tensor : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem, aten__to_copy_default) {} 2025-06-05T19:05:48.6639090Z call_function aten_clamp_default : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor, 0) {} 2025-06-05T19:05:48.6639620Z call_function aten_clamp_default_1 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default, None, 6) {} 2025-06-05T19:05:48.6640100Z call_function aten_mul_tensor : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem, aten_clamp_default_1) {} 2025-06-05T19:05:48.6640610Z call_function aten_div_tensor : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor, aten__to_copy_default_1) {} 2025-06-05T19:05:48.6641510Z call_function aten_convolution_default_1 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor, p_features_1_block_0_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16) {} 2025-06-05T19:05:48.6642630Z call_function aten__native_batch_norm_legit_no_training_default_1 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_1, p_features_1_block_0_1_weight, p_features_1_block_0_1_bias, b_features_1_block_0_1_running_mean, b_features_1_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6643020Z call_function getitem_1 (aten__native_batch_norm_legit_no_training_default_1, 0) {} 2025-06-05T19:05:48.6643460Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (getitem_1,) {} 2025-06-05T19:05:48.6644090Z call_function aten_mean_dim : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_relu_default, [-1, -2], True) {} 2025-06-05T19:05:48.6645000Z call_function aten_convolution_default_2 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim, p_features_1_block_1_fc1_weight, p_features_1_block_1_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6645470Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_2,) {} 2025-06-05T19:05:48.6646390Z call_function aten_convolution_default_3 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_1, p_features_1_block_1_fc2_weight, p_features_1_block_1_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6646990Z call_function aten_add_tensor_1 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_3, aten__to_copy_default_2) {} 2025-06-05T19:05:48.6647530Z call_function aten_clamp_default_2 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_1, 0) {} 2025-06-05T19:05:48.6648100Z call_function aten_clamp_default_3 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_2, None, 6) {} 2025-06-05T19:05:48.6648650Z call_function aten_div_tensor_1 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_3, aten__to_copy_default_3) {} 2025-06-05T19:05:48.6649150Z call_function aten_mul_tensor_1 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_1, aten_relu_default) {} 2025-06-05T19:05:48.6650020Z call_function aten_convolution_default_4 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_1, p_features_1_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6651110Z call_function aten__native_batch_norm_legit_no_training_default_2 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_4, p_features_1_block_2_1_weight, p_features_1_block_2_1_bias, b_features_1_block_2_1_running_mean, b_features_1_block_2_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6651530Z call_function getitem_2 (aten__native_batch_norm_legit_no_training_default_2, 0) {} 2025-06-05T19:05:48.6652420Z call_function aten_convolution_default_5 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_2, p_features_2_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6653510Z call_function aten__native_batch_norm_legit_no_training_default_3 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_5, p_features_2_block_0_1_weight, p_features_2_block_0_1_bias, b_features_2_block_0_1_running_mean, b_features_2_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6653920Z call_function getitem_3 (aten__native_batch_norm_legit_no_training_default_3, 0) {} 2025-06-05T19:05:48.6654370Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (getitem_3,) {} 2025-06-05T19:05:48.6655260Z call_function aten_convolution_default_6 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_2, p_features_2_block_1_0_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 72) {} 2025-06-05T19:05:48.6656360Z call_function aten__native_batch_norm_legit_no_training_default_4 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_6, p_features_2_block_1_1_weight, p_features_2_block_1_1_bias, b_features_2_block_1_1_running_mean, b_features_2_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6656750Z call_function getitem_4 (aten__native_batch_norm_legit_no_training_default_4, 0) {} 2025-06-05T19:05:48.6657220Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (getitem_4,) {} 2025-06-05T19:05:48.6658130Z call_function aten_convolution_default_7 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_3, p_features_2_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6659250Z call_function aten__native_batch_norm_legit_no_training_default_5 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_7, p_features_2_block_2_1_weight, p_features_2_block_2_1_bias, b_features_2_block_2_1_running_mean, b_features_2_block_2_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6659680Z call_function getitem_5 (aten__native_batch_norm_legit_no_training_default_5, 0) {} 2025-06-05T19:05:48.6660550Z call_function aten_convolution_default_8 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_5, p_features_3_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6661650Z call_function aten__native_batch_norm_legit_no_training_default_6 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_8, p_features_3_block_0_1_weight, p_features_3_block_0_1_bias, b_features_3_block_0_1_running_mean, b_features_3_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6662040Z call_function getitem_6 (aten__native_batch_norm_legit_no_training_default_6, 0) {} 2025-06-05T19:05:48.6662490Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (getitem_6,) {} 2025-06-05T19:05:48.6663400Z call_function aten_convolution_default_9 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_4, p_features_3_block_1_0_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88) {} 2025-06-05T19:05:48.6664490Z call_function aten__native_batch_norm_legit_no_training_default_7 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_9, p_features_3_block_1_1_weight, p_features_3_block_1_1_bias, b_features_3_block_1_1_running_mean, b_features_3_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6664900Z call_function getitem_7 (aten__native_batch_norm_legit_no_training_default_7, 0) {} 2025-06-05T19:05:48.6665340Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (getitem_7,) {} 2025-06-05T19:05:48.6666230Z call_function aten_convolution_default_10 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_5, p_features_3_block_2_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6667320Z call_function aten__native_batch_norm_legit_no_training_default_8 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_10, p_features_3_block_2_1_weight, p_features_3_block_2_1_bias, b_features_3_block_2_1_running_mean, b_features_3_block_2_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6667710Z call_function getitem_8 (aten__native_batch_norm_legit_no_training_default_8, 0) {} 2025-06-05T19:05:48.6668240Z call_function aten_add_tensor_2 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_8, getitem_5) {} 2025-06-05T19:05:48.6669150Z call_function aten_convolution_default_11 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_2, p_features_4_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6670270Z call_function aten__native_batch_norm_legit_no_training_default_9 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_11, p_features_4_block_0_1_weight, p_features_4_block_0_1_bias, b_features_4_block_0_1_running_mean, b_features_4_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6670690Z call_function getitem_9 (aten__native_batch_norm_legit_no_training_default_9, 0) {} 2025-06-05T19:05:48.6671230Z call_function aten_add_tensor_3 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_9, aten__to_copy_default_4) {} 2025-06-05T19:05:48.6671750Z call_function aten_clamp_default_4 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_3, 0) {} 2025-06-05T19:05:48.6672290Z call_function aten_clamp_default_5 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_4, None, 6) {} 2025-06-05T19:05:48.6672790Z call_function aten_mul_tensor_2 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_9, aten_clamp_default_5) {} 2025-06-05T19:05:48.6673370Z call_function aten_div_tensor_2 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_2, aten__to_copy_default_5) {} 2025-06-05T19:05:48.6674250Z call_function aten_convolution_default_12 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_2, p_features_4_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 96) {} 2025-06-05T19:05:48.6675360Z call_function aten__native_batch_norm_legit_no_training_default_10 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_12, p_features_4_block_1_1_weight, p_features_4_block_1_1_bias, b_features_4_block_1_1_running_mean, b_features_4_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6675770Z call_function getitem_10 (aten__native_batch_norm_legit_no_training_default_10, 0) {} 2025-06-05T19:05:48.6676310Z call_function aten_add_tensor_4 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_10, aten__to_copy_default_6) {} 2025-06-05T19:05:48.6676830Z call_function aten_clamp_default_6 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_4, 0) {} 2025-06-05T19:05:48.6677370Z call_function aten_clamp_default_7 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_6, None, 6) {} 2025-06-05T19:05:48.6677900Z call_function aten_mul_tensor_3 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_10, aten_clamp_default_7) {} 2025-06-05T19:05:48.6678450Z call_function aten_div_tensor_3 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_3, aten__to_copy_default_7) {} 2025-06-05T19:05:48.6679020Z call_function aten_mean_dim_1 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_3, [-1, -2], True) {} 2025-06-05T19:05:48.6679950Z call_function aten_convolution_default_13 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_1, p_features_4_block_2_fc1_weight, p_features_4_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6680450Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_13,) {} 2025-06-05T19:05:48.6681380Z call_function aten_convolution_default_14 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_6, p_features_4_block_2_fc2_weight, p_features_4_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6681950Z call_function aten_add_tensor_5 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_14, aten__to_copy_default_8) {} 2025-06-05T19:05:48.6682470Z call_function aten_clamp_default_8 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_5, 0) {} 2025-06-05T19:05:48.6683020Z call_function aten_clamp_default_9 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_8, None, 6) {} 2025-06-05T19:05:48.6683570Z call_function aten_div_tensor_4 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_9, aten__to_copy_default_9) {} 2025-06-05T19:05:48.6684090Z call_function aten_mul_tensor_4 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_4, aten_div_tensor_3) {} 2025-06-05T19:05:48.6684980Z call_function aten_convolution_default_15 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_4, p_features_4_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6686070Z call_function aten__native_batch_norm_legit_no_training_default_11 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_15, p_features_4_block_3_1_weight, p_features_4_block_3_1_bias, b_features_4_block_3_1_running_mean, b_features_4_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6686470Z call_function getitem_11 (aten__native_batch_norm_legit_no_training_default_11, 0) {} 2025-06-05T19:05:48.6687330Z call_function aten_convolution_default_16 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_11, p_features_5_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6688440Z call_function aten__native_batch_norm_legit_no_training_default_12 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_16, p_features_5_block_0_1_weight, p_features_5_block_0_1_bias, b_features_5_block_0_1_running_mean, b_features_5_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6688850Z call_function getitem_12 (aten__native_batch_norm_legit_no_training_default_12, 0) {} 2025-06-05T19:05:48.6689420Z call_function aten_add_tensor_6 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_12, aten__to_copy_default_10) {} 2025-06-05T19:05:48.6689940Z call_function aten_clamp_default_10 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_6, 0) {} 2025-06-05T19:05:48.6690500Z call_function aten_clamp_default_11 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_10, None, 6) {} 2025-06-05T19:05:48.6691000Z call_function aten_mul_tensor_5 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_12, aten_clamp_default_11) {} 2025-06-05T19:05:48.6691510Z call_function aten_div_tensor_5 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_5, aten__to_copy_default_11) {} 2025-06-05T19:05:48.6692400Z call_function aten_convolution_default_17 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_5, p_features_5_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240) {} 2025-06-05T19:05:48.6693520Z call_function aten__native_batch_norm_legit_no_training_default_13 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_17, p_features_5_block_1_1_weight, p_features_5_block_1_1_bias, b_features_5_block_1_1_running_mean, b_features_5_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6693940Z call_function getitem_13 (aten__native_batch_norm_legit_no_training_default_13, 0) {} 2025-06-05T19:05:48.6694500Z call_function aten_add_tensor_7 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_13, aten__to_copy_default_12) {} 2025-06-05T19:05:48.6695040Z call_function aten_clamp_default_12 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_7, 0) {} 2025-06-05T19:05:48.6695570Z call_function aten_clamp_default_13 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_12, None, 6) {} 2025-06-05T19:05:48.6696070Z call_function aten_mul_tensor_6 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_13, aten_clamp_default_13) {} 2025-06-05T19:05:48.6696590Z call_function aten_div_tensor_6 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_6, aten__to_copy_default_13) {} 2025-06-05T19:05:48.6697160Z call_function aten_mean_dim_2 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_6, [-1, -2], True) {} 2025-06-05T19:05:48.6698090Z call_function aten_convolution_default_18 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_2, p_features_5_block_2_fc1_weight, p_features_5_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6698570Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_18,) {} 2025-06-05T19:05:48.6699510Z call_function aten_convolution_default_19 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_7, p_features_5_block_2_fc2_weight, p_features_5_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6700140Z call_function aten_add_tensor_8 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_19, aten__to_copy_default_14) {} 2025-06-05T19:05:48.6700660Z call_function aten_clamp_default_14 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_8, 0) {} 2025-06-05T19:05:48.6701190Z call_function aten_clamp_default_15 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_14, None, 6) {} 2025-06-05T19:05:48.6701710Z call_function aten_div_tensor_7 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_15, aten__to_copy_default_15) {} 2025-06-05T19:05:48.6702240Z call_function aten_mul_tensor_7 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_7, aten_div_tensor_6) {} 2025-06-05T19:05:48.6703150Z call_function aten_convolution_default_20 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_7, p_features_5_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6704270Z call_function aten__native_batch_norm_legit_no_training_default_14 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_20, p_features_5_block_3_1_weight, p_features_5_block_3_1_bias, b_features_5_block_3_1_running_mean, b_features_5_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6704690Z call_function getitem_14 (aten__native_batch_norm_legit_no_training_default_14, 0) {} 2025-06-05T19:05:48.6705200Z call_function aten_add_tensor_9 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_14, getitem_11) {} 2025-06-05T19:05:48.6706080Z call_function aten_convolution_default_21 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_9, p_features_6_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6707160Z call_function aten__native_batch_norm_legit_no_training_default_15 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_21, p_features_6_block_0_1_weight, p_features_6_block_0_1_bias, b_features_6_block_0_1_running_mean, b_features_6_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6707570Z call_function getitem_15 (aten__native_batch_norm_legit_no_training_default_15, 0) {} 2025-06-05T19:05:48.6708130Z call_function aten_add_tensor_10 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_15, aten__to_copy_default_16) {} 2025-06-05T19:05:48.6708730Z call_function aten_clamp_default_16 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_10, 0) {} 2025-06-05T19:05:48.6709260Z call_function aten_clamp_default_17 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_16, None, 6) {} 2025-06-05T19:05:48.6709780Z call_function aten_mul_tensor_8 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_15, aten_clamp_default_17) {} 2025-06-05T19:05:48.6710290Z call_function aten_div_tensor_8 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_8, aten__to_copy_default_17) {} 2025-06-05T19:05:48.6711160Z call_function aten_convolution_default_22 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_8, p_features_6_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240) {} 2025-06-05T19:05:48.6712260Z call_function aten__native_batch_norm_legit_no_training_default_16 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_22, p_features_6_block_1_1_weight, p_features_6_block_1_1_bias, b_features_6_block_1_1_running_mean, b_features_6_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6712680Z call_function getitem_16 (aten__native_batch_norm_legit_no_training_default_16, 0) {} 2025-06-05T19:05:48.6713260Z call_function aten_add_tensor_11 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_16, aten__to_copy_default_18) {} 2025-06-05T19:05:48.6713790Z call_function aten_clamp_default_18 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_11, 0) {} 2025-06-05T19:05:48.6714340Z call_function aten_clamp_default_19 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_18, None, 6) {} 2025-06-05T19:05:48.6714840Z call_function aten_mul_tensor_9 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_16, aten_clamp_default_19) {} 2025-06-05T19:05:48.6715350Z call_function aten_div_tensor_9 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_9, aten__to_copy_default_19) {} 2025-06-05T19:05:48.6715890Z call_function aten_mean_dim_3 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_9, [-1, -2], True) {} 2025-06-05T19:05:48.6716830Z call_function aten_convolution_default_23 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_3, p_features_6_block_2_fc1_weight, p_features_6_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6717320Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_23,) {} 2025-06-05T19:05:48.6718280Z call_function aten_convolution_default_24 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_8, p_features_6_block_2_fc2_weight, p_features_6_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6718850Z call_function aten_add_tensor_12 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_24, aten__to_copy_default_20) {} 2025-06-05T19:05:48.6719400Z call_function aten_clamp_default_20 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_12, 0) {} 2025-06-05T19:05:48.6719930Z call_function aten_clamp_default_21 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_20, None, 6) {} 2025-06-05T19:05:48.6720460Z call_function aten_div_tensor_10 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_21, aten__to_copy_default_21) {} 2025-06-05T19:05:48.6720960Z call_function aten_mul_tensor_10 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_10, aten_div_tensor_9) {} 2025-06-05T19:05:48.6721860Z call_function aten_convolution_default_25 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_10, p_features_6_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6722970Z call_function aten__native_batch_norm_legit_no_training_default_17 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_25, p_features_6_block_3_1_weight, p_features_6_block_3_1_bias, b_features_6_block_3_1_running_mean, b_features_6_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6723380Z call_function getitem_17 (aten__native_batch_norm_legit_no_training_default_17, 0) {} 2025-06-05T19:05:48.6723930Z call_function aten_add_tensor_13 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_17, aten_add_tensor_9) {} 2025-06-05T19:05:48.6724790Z call_function aten_convolution_default_26 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_13, p_features_7_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6725880Z call_function aten__native_batch_norm_legit_no_training_default_18 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_26, p_features_7_block_0_1_weight, p_features_7_block_0_1_bias, b_features_7_block_0_1_running_mean, b_features_7_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6726270Z call_function getitem_18 (aten__native_batch_norm_legit_no_training_default_18, 0) {} 2025-06-05T19:05:48.6726830Z call_function aten_add_tensor_14 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_18, aten__to_copy_default_22) {} 2025-06-05T19:05:48.6727360Z call_function aten_clamp_default_22 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_14, 0) {} 2025-06-05T19:05:48.6727890Z call_function aten_clamp_default_23 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_22, None, 6) {} 2025-06-05T19:05:48.6728420Z call_function aten_mul_tensor_11 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_18, aten_clamp_default_23) {} 2025-06-05T19:05:48.6728960Z call_function aten_div_tensor_11 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_11, aten__to_copy_default_23) {} 2025-06-05T19:05:48.6729830Z call_function aten_convolution_default_27 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_11, p_features_7_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120) {} 2025-06-05T19:05:48.6730910Z call_function aten__native_batch_norm_legit_no_training_default_19 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_27, p_features_7_block_1_1_weight, p_features_7_block_1_1_bias, b_features_7_block_1_1_running_mean, b_features_7_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6731300Z call_function getitem_19 (aten__native_batch_norm_legit_no_training_default_19, 0) {} 2025-06-05T19:05:48.6731870Z call_function aten_add_tensor_15 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_19, aten__to_copy_default_24) {} 2025-06-05T19:05:48.6732410Z call_function aten_clamp_default_24 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_15, 0) {} 2025-06-05T19:05:48.6732960Z call_function aten_clamp_default_25 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_24, None, 6) {} 2025-06-05T19:05:48.6733480Z call_function aten_mul_tensor_12 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_19, aten_clamp_default_25) {} 2025-06-05T19:05:48.6733990Z call_function aten_div_tensor_12 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_12, aten__to_copy_default_25) {} 2025-06-05T19:05:48.6734530Z call_function aten_mean_dim_4 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_12, [-1, -2], True) {} 2025-06-05T19:05:48.6735440Z call_function aten_convolution_default_28 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_4, p_features_7_block_2_fc1_weight, p_features_7_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6735930Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_28,) {} 2025-06-05T19:05:48.6736870Z call_function aten_convolution_default_29 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_9, p_features_7_block_2_fc2_weight, p_features_7_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6737440Z call_function aten_add_tensor_16 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_29, aten__to_copy_default_26) {} 2025-06-05T19:05:48.6737980Z call_function aten_clamp_default_26 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_16, 0) {} 2025-06-05T19:05:48.6738540Z call_function aten_clamp_default_27 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_26, None, 6) {} 2025-06-05T19:05:48.6739060Z call_function aten_div_tensor_13 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_27, aten__to_copy_default_27) {} 2025-06-05T19:05:48.6739570Z call_function aten_mul_tensor_13 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_13, aten_div_tensor_12) {} 2025-06-05T19:05:48.6740440Z call_function aten_convolution_default_30 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_13, p_features_7_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6741550Z call_function aten__native_batch_norm_legit_no_training_default_20 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_30, p_features_7_block_3_1_weight, p_features_7_block_3_1_bias, b_features_7_block_3_1_running_mean, b_features_7_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6741960Z call_function getitem_20 (aten__native_batch_norm_legit_no_training_default_20, 0) {} 2025-06-05T19:05:48.6742830Z call_function aten_convolution_default_31 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_20, p_features_8_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6743940Z call_function aten__native_batch_norm_legit_no_training_default_21 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_31, p_features_8_block_0_1_weight, p_features_8_block_0_1_bias, b_features_8_block_0_1_running_mean, b_features_8_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6744330Z call_function getitem_21 (aten__native_batch_norm_legit_no_training_default_21, 0) {} 2025-06-05T19:05:48.6744860Z call_function aten_add_tensor_17 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_21, aten__to_copy_default_28) {} 2025-06-05T19:05:48.6745380Z call_function aten_clamp_default_28 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_17, 0) {} 2025-06-05T19:05:48.6745940Z call_function aten_clamp_default_29 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_28, None, 6) {} 2025-06-05T19:05:48.6746450Z call_function aten_mul_tensor_14 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_21, aten_clamp_default_29) {} 2025-06-05T19:05:48.6746960Z call_function aten_div_tensor_14 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_14, aten__to_copy_default_29) {} 2025-06-05T19:05:48.6747860Z call_function aten_convolution_default_32 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_14, p_features_8_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 144) {} 2025-06-05T19:05:48.6748970Z call_function aten__native_batch_norm_legit_no_training_default_22 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_32, p_features_8_block_1_1_weight, p_features_8_block_1_1_bias, b_features_8_block_1_1_running_mean, b_features_8_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6753570Z call_function getitem_22 (aten__native_batch_norm_legit_no_training_default_22, 0) {} 2025-06-05T19:05:48.6754140Z call_function aten_add_tensor_18 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_22, aten__to_copy_default_30) {} 2025-06-05T19:05:48.6754650Z call_function aten_clamp_default_30 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_18, 0) {} 2025-06-05T19:05:48.6755300Z call_function aten_clamp_default_31 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_30, None, 6) {} 2025-06-05T19:05:48.6755830Z call_function aten_mul_tensor_15 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_22, aten_clamp_default_31) {} 2025-06-05T19:05:48.6756370Z call_function aten_div_tensor_15 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_15, aten__to_copy_default_31) {} 2025-06-05T19:05:48.6756930Z call_function aten_mean_dim_5 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_15, [-1, -2], True) {} 2025-06-05T19:05:48.6757860Z call_function aten_convolution_default_33 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_5, p_features_8_block_2_fc1_weight, p_features_8_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6758320Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_33,) {} 2025-06-05T19:05:48.6759240Z call_function aten_convolution_default_34 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_10, p_features_8_block_2_fc2_weight, p_features_8_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6759810Z call_function aten_add_tensor_19 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_34, aten__to_copy_default_32) {} 2025-06-05T19:05:48.6760380Z call_function aten_clamp_default_32 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_19, 0) {} 2025-06-05T19:05:48.6760910Z call_function aten_clamp_default_33 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_32, None, 6) {} 2025-06-05T19:05:48.6761450Z call_function aten_div_tensor_16 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_33, aten__to_copy_default_33) {} 2025-06-05T19:05:48.6761990Z call_function aten_mul_tensor_16 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_16, aten_div_tensor_15) {} 2025-06-05T19:05:48.6762850Z call_function aten_convolution_default_35 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_16, p_features_8_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6763940Z call_function aten__native_batch_norm_legit_no_training_default_23 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_35, p_features_8_block_3_1_weight, p_features_8_block_3_1_bias, b_features_8_block_3_1_running_mean, b_features_8_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6764330Z call_function getitem_23 (aten__native_batch_norm_legit_no_training_default_23, 0) {} 2025-06-05T19:05:48.6764860Z call_function aten_add_tensor_20 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_23, getitem_20) {} 2025-06-05T19:05:48.6765750Z call_function aten_convolution_default_36 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_20, p_features_9_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6766850Z call_function aten__native_batch_norm_legit_no_training_default_24 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_36, p_features_9_block_0_1_weight, p_features_9_block_0_1_bias, b_features_9_block_0_1_running_mean, b_features_9_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6767250Z call_function getitem_24 (aten__native_batch_norm_legit_no_training_default_24, 0) {} 2025-06-05T19:05:48.6767800Z call_function aten_add_tensor_21 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_24, aten__to_copy_default_34) {} 2025-06-05T19:05:48.6768310Z call_function aten_clamp_default_34 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_21, 0) {} 2025-06-05T19:05:48.6768850Z call_function aten_clamp_default_35 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_34, None, 6) {} 2025-06-05T19:05:48.6769340Z call_function aten_mul_tensor_17 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_24, aten_clamp_default_35) {} 2025-06-05T19:05:48.6769870Z call_function aten_div_tensor_17 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_17, aten__to_copy_default_35) {} 2025-06-05T19:05:48.6770780Z call_function aten_convolution_default_37 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_17, p_features_9_block_1_0_weight, None, [2, 2], [2, 2], [1, 1], False, [0, 0], 288) {} 2025-06-05T19:05:48.6771900Z call_function aten__native_batch_norm_legit_no_training_default_25 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_37, p_features_9_block_1_1_weight, p_features_9_block_1_1_bias, b_features_9_block_1_1_running_mean, b_features_9_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6772310Z call_function getitem_25 (aten__native_batch_norm_legit_no_training_default_25, 0) {} 2025-06-05T19:05:48.6772850Z call_function aten_add_tensor_22 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_25, aten__to_copy_default_36) {} 2025-06-05T19:05:48.6773360Z call_function aten_clamp_default_36 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_22, 0) {} 2025-06-05T19:05:48.6773900Z call_function aten_clamp_default_37 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_36, None, 6) {} 2025-06-05T19:05:48.6774420Z call_function aten_mul_tensor_18 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_25, aten_clamp_default_37) {} 2025-06-05T19:05:48.6774970Z call_function aten_div_tensor_18 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_18, aten__to_copy_default_37) {} 2025-06-05T19:05:48.6775530Z call_function aten_mean_dim_6 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_18, [-1, -2], True) {} 2025-06-05T19:05:48.6776460Z call_function aten_convolution_default_38 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_6, p_features_9_block_2_fc1_weight, p_features_9_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6776940Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_38,) {} 2025-06-05T19:05:48.6777880Z call_function aten_convolution_default_39 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_11, p_features_9_block_2_fc2_weight, p_features_9_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6778460Z call_function aten_add_tensor_23 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_39, aten__to_copy_default_38) {} 2025-06-05T19:05:48.6778980Z call_function aten_clamp_default_38 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_23, 0) {} 2025-06-05T19:05:48.6779530Z call_function aten_clamp_default_39 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_38, None, 6) {} 2025-06-05T19:05:48.6780090Z call_function aten_div_tensor_19 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_39, aten__to_copy_default_39) {} 2025-06-05T19:05:48.6780620Z call_function aten_mul_tensor_19 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_19, aten_div_tensor_18) {} 2025-06-05T19:05:48.6781530Z call_function aten_convolution_default_40 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_19, p_features_9_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6782640Z call_function aten__native_batch_norm_legit_no_training_default_26 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_40, p_features_9_block_3_1_weight, p_features_9_block_3_1_bias, b_features_9_block_3_1_running_mean, b_features_9_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6783030Z call_function getitem_26 (aten__native_batch_norm_legit_no_training_default_26, 0) {} 2025-06-05T19:05:48.6783910Z call_function aten_convolution_default_41 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_26, p_features_10_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6785020Z call_function aten__native_batch_norm_legit_no_training_default_27 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_41, p_features_10_block_0_1_weight, p_features_10_block_0_1_bias, b_features_10_block_0_1_running_mean, b_features_10_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6785430Z call_function getitem_27 (aten__native_batch_norm_legit_no_training_default_27, 0) {} 2025-06-05T19:05:48.6785990Z call_function aten_add_tensor_24 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_27, aten__to_copy_default_40) {} 2025-06-05T19:05:48.6786510Z call_function aten_clamp_default_40 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_24, 0) {} 2025-06-05T19:05:48.6787060Z call_function aten_clamp_default_41 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_40, None, 6) {} 2025-06-05T19:05:48.6787570Z call_function aten_mul_tensor_20 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_27, aten_clamp_default_41) {} 2025-06-05T19:05:48.6788090Z call_function aten_div_tensor_20 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_20, aten__to_copy_default_41) {} 2025-06-05T19:05:48.6788990Z call_function aten_convolution_default_42 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_20, p_features_10_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576) {} 2025-06-05T19:05:48.6790090Z call_function aten__native_batch_norm_legit_no_training_default_28 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_42, p_features_10_block_1_1_weight, p_features_10_block_1_1_bias, b_features_10_block_1_1_running_mean, b_features_10_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6790510Z call_function getitem_28 (aten__native_batch_norm_legit_no_training_default_28, 0) {} 2025-06-05T19:05:48.6791140Z call_function aten_add_tensor_25 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_28, aten__to_copy_default_42) {} 2025-06-05T19:05:48.6791680Z call_function aten_clamp_default_42 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_25, 0) {} 2025-06-05T19:05:48.6792210Z call_function aten_clamp_default_43 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_42, None, 6) {} 2025-06-05T19:05:48.6792710Z call_function aten_mul_tensor_21 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_28, aten_clamp_default_43) {} 2025-06-05T19:05:48.6793240Z call_function aten_div_tensor_21 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_21, aten__to_copy_default_43) {} 2025-06-05T19:05:48.6793820Z call_function aten_mean_dim_7 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_21, [-1, -2], True) {} 2025-06-05T19:05:48.6794790Z call_function aten_convolution_default_43 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_7, p_features_10_block_2_fc1_weight, p_features_10_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6795280Z call_function aten_relu_default_12 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_43,) {} 2025-06-05T19:05:48.6796210Z call_function aten_convolution_default_44 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_12, p_features_10_block_2_fc2_weight, p_features_10_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6796790Z call_function aten_add_tensor_26 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_44, aten__to_copy_default_44) {} 2025-06-05T19:05:48.6797310Z call_function aten_clamp_default_44 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_26, 0) {} 2025-06-05T19:05:48.6797840Z call_function aten_clamp_default_45 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_44, None, 6) {} 2025-06-05T19:05:48.6798360Z call_function aten_div_tensor_22 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_45, aten__to_copy_default_45) {} 2025-06-05T19:05:48.6798880Z call_function aten_mul_tensor_22 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_22, aten_div_tensor_21) {} 2025-06-05T19:05:48.6799800Z call_function aten_convolution_default_45 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_22, p_features_10_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6800910Z call_function aten__native_batch_norm_legit_no_training_default_29 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_45, p_features_10_block_3_1_weight, p_features_10_block_3_1_bias, b_features_10_block_3_1_running_mean, b_features_10_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6801330Z call_function getitem_29 (aten__native_batch_norm_legit_no_training_default_29, 0) {} 2025-06-05T19:05:48.6801840Z call_function aten_add_tensor_27 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_29, getitem_26) {} 2025-06-05T19:05:48.6802710Z call_function aten_convolution_default_46 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_27, p_features_11_block_0_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6803790Z call_function aten__native_batch_norm_legit_no_training_default_30 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_46, p_features_11_block_0_1_weight, p_features_11_block_0_1_bias, b_features_11_block_0_1_running_mean, b_features_11_block_0_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6804210Z call_function getitem_30 (aten__native_batch_norm_legit_no_training_default_30, 0) {} 2025-06-05T19:05:48.6804760Z call_function aten_add_tensor_28 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_30, aten__to_copy_default_46) {} 2025-06-05T19:05:48.6805300Z call_function aten_clamp_default_46 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_28, 0) {} 2025-06-05T19:05:48.6805830Z call_function aten_clamp_default_47 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_46, None, 6) {} 2025-06-05T19:05:48.6806350Z call_function aten_mul_tensor_23 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_30, aten_clamp_default_47) {} 2025-06-05T19:05:48.6806870Z call_function aten_div_tensor_23 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_23, aten__to_copy_default_47) {} 2025-06-05T19:05:48.6807740Z call_function aten_convolution_default_47 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_div_tensor_23, p_features_11_block_1_0_weight, None, [1, 1], [2, 2], [1, 1], False, [0, 0], 576) {} 2025-06-05T19:05:48.6808820Z call_function aten__native_batch_norm_legit_no_training_default_31 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_47, p_features_11_block_1_1_weight, p_features_11_block_1_1_bias, b_features_11_block_1_1_running_mean, b_features_11_block_1_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6809230Z call_function getitem_31 (aten__native_batch_norm_legit_no_training_default_31, 0) {} 2025-06-05T19:05:48.6809780Z call_function aten_add_tensor_29 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_31, aten__to_copy_default_48) {} 2025-06-05T19:05:48.6810340Z call_function aten_clamp_default_48 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_29, 0) {} 2025-06-05T19:05:48.6810900Z call_function aten_clamp_default_49 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_48, None, 6) {} 2025-06-05T19:05:48.6811400Z call_function aten_mul_tensor_24 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_31, aten_clamp_default_49) {} 2025-06-05T19:05:48.6811920Z call_function aten_div_tensor_24 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_24, aten__to_copy_default_49) {} 2025-06-05T19:05:48.6812460Z call_function aten_mean_dim_8 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_24, [-1, -2], True) {} 2025-06-05T19:05:48.6813410Z call_function aten_convolution_default_48 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mean_dim_8, p_features_11_block_2_fc1_weight, p_features_11_block_2_fc1_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6813910Z call_function aten_relu_default_13 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_48,) {} 2025-06-05T19:05:48.6814850Z call_function aten_convolution_default_49 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_13, p_features_11_block_2_fc2_weight, p_features_11_block_2_fc2_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6815460Z call_function aten_add_tensor_30 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_49, aten__to_copy_default_50) {} 2025-06-05T19:05:48.6816010Z call_function aten_clamp_default_50 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_30, 0) {} 2025-06-05T19:05:48.6816540Z call_function aten_clamp_default_51 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_50, None, 6) {} 2025-06-05T19:05:48.6817070Z call_function aten_div_tensor_25 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_clamp_default_51, aten__to_copy_default_51) {} 2025-06-05T19:05:48.6817580Z call_function aten_mul_tensor_25 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_div_tensor_25, aten_div_tensor_24) {} 2025-06-05T19:05:48.6818490Z call_function aten_convolution_default_50 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor_25, p_features_11_block_3_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6819600Z call_function aten__native_batch_norm_legit_no_training_default_32 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_50, p_features_11_block_3_1_weight, p_features_11_block_3_1_bias, b_features_11_block_3_1_running_mean, b_features_11_block_3_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6820030Z call_function getitem_32 (aten__native_batch_norm_legit_no_training_default_32, 0) {} 2025-06-05T19:05:48.6820610Z call_function aten_add_tensor_31 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_32, aten_add_tensor_27) {} 2025-06-05T19:05:48.6821510Z call_function aten_convolution_default_51 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_31, p_features_12_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:05:48.6822600Z call_function aten__native_batch_norm_legit_no_training_default_33 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_51, p_features_12_1_weight, p_features_12_1_bias, b_features_12_1_running_mean, b_features_12_1_running_var, 0.01, 0.001) {} 2025-06-05T19:05:48.6823000Z call_function getitem_33 (aten__native_batch_norm_legit_no_training_default_33, 0) {} 2025-06-05T19:05:48.6823570Z call_function aten_add_tensor_32 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_33, aten__to_copy_default_52) {} 2025-06-05T19:05:48.6824110Z call_function aten_clamp_default_52 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_32, 0) {} 2025-06-05T19:05:48.6824660Z call_function aten_clamp_default_53 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_52, None, 6) {} 2025-06-05T19:05:48.6825190Z call_function aten_mul_tensor_26 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (getitem_33, aten_clamp_default_53) {} 2025-06-05T19:05:48.6825730Z call_function aten_div_tensor_26 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_26, aten__to_copy_default_53) {} 2025-06-05T19:05:48.6826270Z call_function aten_mean_dim_9 : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_div_tensor_26, [-1, -2], True) {} 2025-06-05T19:05:48.6826770Z call_function aten_view_copy_default : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_mean_dim_9, [1, 576]) {} 2025-06-05T19:05:48.6827440Z call_function aten_addmm_default : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_classifier_0_bias, aten_view_copy_default, aten_permute_copy_default) {} 2025-06-05T19:05:48.6828010Z call_function aten_add_tensor_33 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_addmm_default, aten__to_copy_default_54) {} 2025-06-05T19:05:48.6828540Z call_function aten_clamp_default_54 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_add_tensor_33, 0) {} 2025-06-05T19:05:48.6829100Z call_function aten_clamp_default_55 : schema = aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor (aten_clamp_default_54, None, 6) {} 2025-06-05T19:05:48.6829640Z call_function aten_mul_tensor_27 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_addmm_default, aten_clamp_default_55) {} 2025-06-05T19:05:48.6830160Z call_function aten_div_tensor_27 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_mul_tensor_27, aten__to_copy_default_55) {} 2025-06-05T19:05:48.6830810Z call_function aten_addmm_default_1 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_classifier_3_bias, aten_div_tensor_27, aten_permute_copy_default_1) {} 2025-06-05T19:05:48.6831220Z output output output ([aten_addmm_default_1],) {}[DEBUG 2025-06-05 19:05:48,661 node_visitor.py:97] Serializing: x, data type: torch.float32, dims: [1, 3, 224, 224] 2025-06-05T19:05:48.6831440Z [INFO 2025-06-05 19:05:48,661 mps_preprocess.py:193] Visiting: aten_convolution_default, aten.convolution.default 2025-06-05T19:05:48.6831690Z [DEBUG 2025-06-05 19:05:48,661 node_visitor.py:97] Serializing: p_features_0_0_weight, data type: torch.float32, dims: [16, 3, 3, 3] 2025-06-05T19:05:48.6831970Z [DEBUG 2025-06-05 19:05:48,661 node_visitor.py:97] Serializing: aten_convolution_default, data type: torch.float32, dims: [1, 16, 112, 112] 2025-06-05T19:05:48.6832220Z [INFO 2025-06-05 19:05:48,661 mps_preprocess.py:193] Visiting: aten_permute_copy_default, aten.permute_copy.default 2025-06-05T19:05:48.6832460Z [DEBUG 2025-06-05 19:05:48,662 node_visitor.py:97] Serializing: p_classifier_0_weight, data type: torch.float32, dims: [1024, 576] 2025-06-05T19:05:48.6832700Z [DEBUG 2025-06-05 19:05:48,662 node_visitor.py:97] Serializing: aten_permute_copy_default, data type: torch.float32, dims: [576, 1024] 2025-06-05T19:05:48.6832910Z [INFO 2025-06-05 19:05:48,662 mps_preprocess.py:193] Visiting: aten_permute_copy_default_1, aten.permute_copy.default 2025-06-05T19:05:48.6833150Z [DEBUG 2025-06-05 19:05:48,663 node_visitor.py:97] Serializing: p_classifier_3_weight, data type: torch.float32, dims: [1000, 1024] 2025-06-05T19:05:48.6833400Z [DEBUG 2025-06-05 19:05:48,663 node_visitor.py:97] Serializing: aten_permute_copy_default_1, data type: torch.float32, dims: [1024, 1000] 2025-06-05T19:05:48.6833590Z [INFO 2025-06-05 19:05:48,663 mps_preprocess.py:193] Visiting: aten__to_copy_default, aten._to_copy.default 2025-06-05T19:05:48.6833830Z [DEBUG 2025-06-05 19:05:48,663 node_visitor.py:97] Serializing: _lifted_tensor_constant68, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6834030Z [INFO 2025-06-05 19:05:48,663 mps_preprocess.py:193] Visiting: aten__to_copy_default_1, aten._to_copy.default 2025-06-05T19:05:48.6834270Z [DEBUG 2025-06-05 19:05:48,664 node_visitor.py:97] Serializing: _lifted_tensor_constant69, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6834460Z [INFO 2025-06-05 19:05:48,664 mps_preprocess.py:193] Visiting: aten__to_copy_default_2, aten._to_copy.default 2025-06-05T19:05:48.6834690Z [DEBUG 2025-06-05 19:05:48,664 node_visitor.py:97] Serializing: _lifted_tensor_constant70, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6834880Z [INFO 2025-06-05 19:05:48,664 mps_preprocess.py:193] Visiting: aten__to_copy_default_3, aten._to_copy.default 2025-06-05T19:05:48.6835110Z [DEBUG 2025-06-05 19:05:48,664 node_visitor.py:97] Serializing: _lifted_tensor_constant71, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6835310Z [INFO 2025-06-05 19:05:48,664 mps_preprocess.py:193] Visiting: aten__to_copy_default_4, aten._to_copy.default 2025-06-05T19:05:48.6835520Z [DEBUG 2025-06-05 19:05:48,664 node_visitor.py:97] Serializing: _lifted_tensor_constant72, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6835710Z [INFO 2025-06-05 19:05:48,664 mps_preprocess.py:193] Visiting: aten__to_copy_default_5, aten._to_copy.default 2025-06-05T19:05:48.6835930Z [DEBUG 2025-06-05 19:05:48,664 node_visitor.py:97] Serializing: _lifted_tensor_constant73, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6836120Z [INFO 2025-06-05 19:05:48,664 mps_preprocess.py:193] Visiting: aten__to_copy_default_6, aten._to_copy.default 2025-06-05T19:05:48.6836330Z [DEBUG 2025-06-05 19:05:48,665 node_visitor.py:97] Serializing: _lifted_tensor_constant74, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6836520Z [INFO 2025-06-05 19:05:48,665 mps_preprocess.py:193] Visiting: aten__to_copy_default_7, aten._to_copy.default 2025-06-05T19:05:48.6836740Z [DEBUG 2025-06-05 19:05:48,665 node_visitor.py:97] Serializing: _lifted_tensor_constant75, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6836920Z [INFO 2025-06-05 19:05:48,665 mps_preprocess.py:193] Visiting: aten__to_copy_default_8, aten._to_copy.default 2025-06-05T19:05:48.6837150Z [DEBUG 2025-06-05 19:05:48,665 node_visitor.py:97] Serializing: _lifted_tensor_constant76, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6837340Z [INFO 2025-06-05 19:05:48,665 mps_preprocess.py:193] Visiting: aten__to_copy_default_9, aten._to_copy.default 2025-06-05T19:05:48.6837560Z [DEBUG 2025-06-05 19:05:48,665 node_visitor.py:97] Serializing: _lifted_tensor_constant77, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6837750Z [INFO 2025-06-05 19:05:48,665 mps_preprocess.py:193] Visiting: aten__to_copy_default_10, aten._to_copy.default 2025-06-05T19:05:48.6837990Z [DEBUG 2025-06-05 19:05:48,666 node_visitor.py:97] Serializing: _lifted_tensor_constant78, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6838210Z [INFO 2025-06-05 19:05:48,666 mps_preprocess.py:193] Visiting: aten__to_copy_default_11, aten._to_copy.default 2025-06-05T19:05:48.6838430Z [DEBUG 2025-06-05 19:05:48,666 node_visitor.py:97] Serializing: _lifted_tensor_constant79, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6838620Z [INFO 2025-06-05 19:05:48,666 mps_preprocess.py:193] Visiting: aten__to_copy_default_12, aten._to_copy.default 2025-06-05T19:05:48.6838840Z [DEBUG 2025-06-05 19:05:48,666 node_visitor.py:97] Serializing: _lifted_tensor_constant80, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6839030Z [INFO 2025-06-05 19:05:48,666 mps_preprocess.py:193] Visiting: aten__to_copy_default_13, aten._to_copy.default 2025-06-05T19:05:48.6839250Z [DEBUG 2025-06-05 19:05:48,666 node_visitor.py:97] Serializing: _lifted_tensor_constant81, data type: torch.int64, dims: [] 2025-06-05T19:05:48.6839440Z [INFO 2025-06-05 19:05:48,666 mps_preprocess.py:193] Visiting: aten__to_copy_default_14, aten._to_copy.default 2025-06-05T19:05:48.6839680Z [DEBUG 2025-06-05 19:05:48,667 node_visitor.py:97] Serializing: _lifted_tensor_constant82, data type: torch.int64, dims: [] 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[DEBUG 2025-06-05 19:05:48,688 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_8, data type: torch.float32, dims: [1, 24, 28, 28] 2025-06-05T19:05:48.6931930Z [DEBUG 2025-06-05 19:05:48,688 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.6932220Z [DEBUG 2025-06-05 19:05:48,688 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_8, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.6932670Z [DEBUG 2025-06-05 19:05:48,688 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.6932960Z [DEBUG 2025-06-05 19:05:48,688 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_8, data type: torch.float32, dims: 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2025-06-05T19:05:48.6968870Z [INFO 2025-06-05 19:05:48,691 mps_preprocess.py:193] Visiting: aten_mean_dim_1, aten.mean.dim 2025-06-05T19:05:48.6969110Z [DEBUG 2025-06-05 19:05:48,691 node_visitor.py:97] Serializing: aten_mean_dim_1, data type: torch.float32, dims: [1, 96, 1, 1] 2025-06-05T19:05:48.6969320Z [INFO 2025-06-05 19:05:48,691 mps_preprocess.py:193] Visiting: aten_convolution_default_13, aten.convolution.default 2025-06-05T19:05:48.6969580Z [DEBUG 2025-06-05 19:05:48,691 node_visitor.py:97] Serializing: p_features_4_block_2_fc1_weight, data type: torch.float32, dims: [24, 96, 1, 1] 2025-06-05T19:05:48.6969820Z [DEBUG 2025-06-05 19:05:48,691 node_visitor.py:97] Serializing: p_features_4_block_2_fc1_bias, data type: torch.float32, dims: [24] 2025-06-05T19:05:48.6970070Z [DEBUG 2025-06-05 19:05:48,691 node_visitor.py:97] Serializing: aten_convolution_default_13, data type: torch.float32, dims: [1, 24, 1, 1] 2025-06-05T19:05:48.6970250Z [INFO 2025-06-05 19:05:48,691 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2025-06-05T19:05:48.7028380Z [DEBUG 2025-06-05 19:05:48,695 node_visitor.py:97] Serializing: p_features_5_block_1_1_weight, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7033810Z [DEBUG 2025-06-05 19:05:48,695 node_visitor.py:97] Serializing: p_features_5_block_1_1_bias, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7034080Z [DEBUG 2025-06-05 19:05:48,695 node_visitor.py:97] Serializing: b_features_5_block_1_1_running_mean, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7034330Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:97] Serializing: b_features_5_block_1_1_running_var, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7034650Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_13, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7035120Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 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Visiting: getitem_13, getitem 2025-06-05T19:05:48.7037010Z [INFO 2025-06-05 19:05:48,696 mps_preprocess.py:193] Visiting: aten_add_tensor_7, aten.add.Tensor 2025-06-05T19:05:48.7037270Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:97] Serializing: aten_add_tensor_7, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7037460Z [INFO 2025-06-05 19:05:48,696 mps_preprocess.py:193] Visiting: aten_clamp_default_12, aten.clamp.default 2025-06-05T19:05:48.7037740Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:97] Serializing: aten_clamp_default_12, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7037920Z [INFO 2025-06-05 19:05:48,696 mps_preprocess.py:193] Visiting: aten_clamp_default_13, aten.clamp.default 2025-06-05T19:05:48.7038160Z [DEBUG 2025-06-05 19:05:48,696 node_visitor.py:97] Serializing: aten_clamp_default_13, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7038330Z [INFO 2025-06-05 19:05:48,696 mps_preprocess.py:193] 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Serializing: p_features_5_block_2_fc1_weight, data type: torch.float32, dims: [64, 240, 1, 1] 2025-06-05T19:05:48.7040070Z [DEBUG 2025-06-05 19:05:48,697 node_visitor.py:97] Serializing: p_features_5_block_2_fc1_bias, data type: torch.float32, dims: [64] 2025-06-05T19:05:48.7040330Z [DEBUG 2025-06-05 19:05:48,697 node_visitor.py:97] Serializing: aten_convolution_default_18, data type: torch.float32, dims: [1, 64, 1, 1] 2025-06-05T19:05:48.7040500Z [INFO 2025-06-05 19:05:48,697 mps_preprocess.py:193] Visiting: aten_relu_default_7, aten.relu.default 2025-06-05T19:05:48.7040740Z [DEBUG 2025-06-05 19:05:48,697 node_visitor.py:97] Serializing: aten_relu_default_7, data type: torch.float32, dims: [1, 64, 1, 1] 2025-06-05T19:05:48.7040950Z [INFO 2025-06-05 19:05:48,697 mps_preprocess.py:193] Visiting: aten_convolution_default_19, aten.convolution.default 2025-06-05T19:05:48.7041210Z [DEBUG 2025-06-05 19:05:48,697 node_visitor.py:97] Serializing: p_features_5_block_2_fc2_weight, data type: 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[DEBUG 2025-06-05 19:05:48,698 node_visitor.py:97] Serializing: p_features_5_block_3_0_weight, data type: torch.float32, dims: [40, 240, 1, 1] 2025-06-05T19:05:48.7046310Z [DEBUG 2025-06-05 19:05:48,698 node_visitor.py:97] Serializing: aten_convolution_default_20, data type: torch.float32, dims: [1, 40, 14, 14] 2025-06-05T19:05:48.7046950Z [INFO 2025-06-05 19:05:48,698 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_14, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:05:48.7047580Z [DEBUG 2025-06-05 19:05:48,698 node_visitor.py:97] Serializing: p_features_5_block_3_1_weight, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7048110Z [DEBUG 2025-06-05 19:05:48,698 node_visitor.py:97] Serializing: p_features_5_block_3_1_bias, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7048660Z [DEBUG 2025-06-05 19:05:48,698 node_visitor.py:97] Serializing: b_features_5_block_3_1_running_mean, data type: torch.float32, dims: [40] 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2025-06-05T19:05:48.7067170Z [DEBUG 2025-06-05 19:05:48,699 node_visitor.py:97] Serializing: p_features_6_block_0_0_weight, data type: torch.float32, dims: [240, 40, 1, 1] 2025-06-05T19:05:48.7067760Z [DEBUG 2025-06-05 19:05:48,699 node_visitor.py:97] Serializing: aten_convolution_default_21, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7068450Z [INFO 2025-06-05 19:05:48,699 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_15, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:05:48.7069070Z [DEBUG 2025-06-05 19:05:48,699 node_visitor.py:97] Serializing: p_features_6_block_0_1_weight, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7069640Z [DEBUG 2025-06-05 19:05:48,699 node_visitor.py:97] Serializing: p_features_6_block_0_1_bias, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7070190Z [DEBUG 2025-06-05 19:05:48,700 node_visitor.py:97] Serializing: b_features_6_block_0_1_running_mean, data 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Serializing: p_features_6_block_1_1_bias, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7084920Z [DEBUG 2025-06-05 19:05:48,701 node_visitor.py:97] Serializing: b_features_6_block_1_1_running_mean, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7085490Z [DEBUG 2025-06-05 19:05:48,701 node_visitor.py:97] Serializing: b_features_6_block_1_1_running_var, data type: torch.float32, dims: [240] 2025-06-05T19:05:48.7086120Z [DEBUG 2025-06-05 19:05:48,701 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_16, data type: torch.float32, dims: [1, 240, 14, 14] 2025-06-05T19:05:48.7087000Z [DEBUG 2025-06-05 19:05:48,701 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7087830Z [DEBUG 2025-06-05 19:05:48,701 node_visitor.py:132] Serializing: [1]: 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[DEBUG 2025-06-05 19:05:48,703 node_visitor.py:97] Serializing: aten_convolution_default_25, data type: torch.float32, dims: [1, 40, 14, 14] 2025-06-05T19:05:48.7112290Z [INFO 2025-06-05 19:05:48,703 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_17, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:05:48.7112910Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:97] Serializing: p_features_6_block_3_1_weight, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7113480Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:97] Serializing: p_features_6_block_3_1_bias, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7114030Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:97] Serializing: b_features_6_block_3_1_running_mean, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7114620Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:97] Serializing: b_features_6_block_3_1_running_var, data type: torch.float32, dims: [40] 2025-06-05T19:05:48.7115240Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_17, data type: torch.float32, dims: [1, 40, 14, 14] 2025-06-05T19:05:48.7116080Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7116900Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_17, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7117710Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7118530Z [DEBUG 2025-06-05 19:05:48,704 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_17, 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Serializing: b_features_7_block_1_1_running_mean, data type: torch.float32, dims: [120] 2025-06-05T19:05:48.7142840Z [DEBUG 2025-06-05 19:05:48,707 node_visitor.py:97] Serializing: b_features_7_block_1_1_running_var, data type: torch.float32, dims: [120] 2025-06-05T19:05:48.7143480Z [DEBUG 2025-06-05 19:05:48,707 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_19, data type: torch.float32, dims: [1, 120, 14, 14] 2025-06-05T19:05:48.7144400Z [DEBUG 2025-06-05 19:05:48,707 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7145240Z [DEBUG 2025-06-05 19:05:48,707 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_19, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7146090Z [DEBUG 2025-06-05 19:05:48,707 node_visitor.py:143] Serialized tensor: 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[DEBUG 2025-06-05 19:05:48,716 node_visitor.py:97] Serializing: p_features_9_block_0_1_bias, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7237730Z [DEBUG 2025-06-05 19:05:48,716 node_visitor.py:97] Serializing: b_features_9_block_0_1_running_mean, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7238280Z [DEBUG 2025-06-05 19:05:48,716 node_visitor.py:97] Serializing: b_features_9_block_0_1_running_var, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7238910Z [DEBUG 2025-06-05 19:05:48,716 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_24, data type: torch.float32, dims: [1, 288, 14, 14] 2025-06-05T19:05:48.7239780Z [DEBUG 2025-06-05 19:05:48,716 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7240620Z [DEBUG 2025-06-05 19:05:48,716 node_visitor.py:132] Serializing: 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[DEBUG 2025-06-05 19:05:48,717 node_visitor.py:97] Serializing: aten_add_tensor_21, data type: torch.float32, dims: [1, 288, 14, 14] 2025-06-05T19:05:48.7245120Z [INFO 2025-06-05 19:05:48,717 mps_preprocess.py:193] Visiting: aten_clamp_default_34, aten.clamp.default 2025-06-05T19:05:48.7245610Z [DEBUG 2025-06-05 19:05:48,717 node_visitor.py:97] Serializing: aten_clamp_default_34, data type: torch.float32, dims: [1, 288, 14, 14] 2025-06-05T19:05:48.7246100Z [INFO 2025-06-05 19:05:48,717 mps_preprocess.py:193] Visiting: aten_clamp_default_35, aten.clamp.default 2025-06-05T19:05:48.7246610Z [DEBUG 2025-06-05 19:05:48,717 node_visitor.py:97] Serializing: aten_clamp_default_35, data type: torch.float32, dims: [1, 288, 14, 14] 2025-06-05T19:05:48.7247120Z [INFO 2025-06-05 19:05:48,717 mps_preprocess.py:193] Visiting: aten_mul_tensor_17, aten.mul.Tensor 2025-06-05T19:05:48.7247590Z [DEBUG 2025-06-05 19:05:48,717 node_visitor.py:97] Serializing: aten_mul_tensor_17, data type: torch.float32, 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2025-06-05T19:05:48.7254830Z [DEBUG 2025-06-05 19:05:48,717 node_visitor.py:97] Serializing: p_features_9_block_1_1_weight, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7255440Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: p_features_9_block_1_1_bias, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7255980Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: b_features_9_block_1_1_running_mean, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7256540Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: b_features_9_block_1_1_running_var, data type: torch.float32, dims: [288] 2025-06-05T19:05:48.7257160Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_25, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7258030Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7258870Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_25, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7259690Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7260510Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_25, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7261320Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7261970Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: getitem_25, getitem 2025-06-05T19:05:48.7262350Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_add_tensor_22, aten.add.Tensor 2025-06-05T19:05:48.7262810Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: aten_add_tensor_22, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7263290Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_clamp_default_36, aten.clamp.default 2025-06-05T19:05:48.7263770Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: aten_clamp_default_36, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7264300Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_clamp_default_37, aten.clamp.default 2025-06-05T19:05:48.7264820Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: aten_clamp_default_37, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7265300Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_mul_tensor_18, aten.mul.Tensor 2025-06-05T19:05:48.7265760Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: aten_mul_tensor_18, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7266230Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_div_tensor_18, aten.div.Tensor 2025-06-05T19:05:48.7266690Z [DEBUG 2025-06-05 19:05:48,718 node_visitor.py:97] Serializing: aten_div_tensor_18, data type: torch.float32, dims: [1, 288, 7, 7] 2025-06-05T19:05:48.7267140Z [INFO 2025-06-05 19:05:48,718 mps_preprocess.py:193] Visiting: aten_mean_dim_6, aten.mean.dim 2025-06-05T19:05:48.7267590Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: aten_mean_dim_6, data type: torch.float32, dims: [1, 288, 1, 1] 2025-06-05T19:05:48.7268130Z [INFO 2025-06-05 19:05:48,719 mps_preprocess.py:193] Visiting: aten_convolution_default_38, aten.convolution.default 2025-06-05T19:05:48.7268680Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: p_features_9_block_2_fc1_weight, data type: torch.float32, dims: [72, 288, 1, 1] 2025-06-05T19:05:48.7269260Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: p_features_9_block_2_fc1_bias, data type: torch.float32, dims: [72] 2025-06-05T19:05:48.7269810Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: aten_convolution_default_38, data type: torch.float32, dims: [1, 72, 1, 1] 2025-06-05T19:05:48.7270310Z [INFO 2025-06-05 19:05:48,719 mps_preprocess.py:193] Visiting: aten_relu_default_11, aten.relu.default 2025-06-05T19:05:48.7270790Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: aten_relu_default_11, data type: torch.float32, dims: [1, 72, 1, 1] 2025-06-05T19:05:48.7271300Z [INFO 2025-06-05 19:05:48,719 mps_preprocess.py:193] Visiting: aten_convolution_default_39, aten.convolution.default 2025-06-05T19:05:48.7271840Z [DEBUG 2025-06-05 19:05:48,719 node_visitor.py:97] Serializing: p_features_9_block_2_fc2_weight, data type: 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[DEBUG 2025-06-05 19:05:48,723 node_visitor.py:97] Serializing: b_features_10_block_1_1_running_var, data type: torch.float32, dims: [576] 2025-06-05T19:05:48.7309920Z [DEBUG 2025-06-05 19:05:48,723 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_28, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7310770Z [DEBUG 2025-06-05 19:05:48,724 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7311610Z [DEBUG 2025-06-05 19:05:48,724 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_28, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7312480Z [DEBUG 2025-06-05 19:05:48,724 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 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aten.add.Tensor 2025-06-05T19:05:48.7389880Z [DEBUG 2025-06-05 19:05:48,733 node_visitor.py:97] Serializing: aten_add_tensor_31, data type: torch.float32, dims: [1, 96, 7, 7] 2025-06-05T19:05:48.7390100Z [INFO 2025-06-05 19:05:48,733 mps_preprocess.py:193] Visiting: aten_convolution_default_51, aten.convolution.default 2025-06-05T19:05:48.7390340Z [DEBUG 2025-06-05 19:05:48,733 node_visitor.py:97] Serializing: p_features_12_0_weight, data type: torch.float32, dims: [576, 96, 1, 1] 2025-06-05T19:05:48.7390600Z [DEBUG 2025-06-05 19:05:48,733 node_visitor.py:97] Serializing: aten_convolution_default_51, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7390920Z [INFO 2025-06-05 19:05:48,733 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_33, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:05:48.7391150Z [DEBUG 2025-06-05 19:05:48,733 node_visitor.py:97] Serializing: p_features_12_1_weight, data type: torch.float32, dims: [576] 2025-06-05T19:05:48.7391370Z [DEBUG 2025-06-05 19:05:48,733 node_visitor.py:97] Serializing: p_features_12_1_bias, data type: torch.float32, dims: [576] 2025-06-05T19:05:48.7391640Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: b_features_12_1_running_mean, data type: torch.float32, dims: [576] 2025-06-05T19:05:48.7391870Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: b_features_12_1_running_var, data type: torch.float32, dims: [576] 2025-06-05T19:05:48.7392230Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_33, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7392710Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7393020Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_33, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7393480Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7393770Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_33, data type: torch.float32, dims: [0] 2025-06-05T19:05:48.7394230Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:05:48.7394370Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: getitem_33, getitem 2025-06-05T19:05:48.7394540Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_add_tensor_32, aten.add.Tensor 2025-06-05T19:05:48.7394780Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_add_tensor_32, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7394970Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_clamp_default_52, aten.clamp.default 2025-06-05T19:05:48.7395210Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_clamp_default_52, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7395390Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_clamp_default_53, aten.clamp.default 2025-06-05T19:05:48.7395640Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_clamp_default_53, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7395800Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_mul_tensor_26, aten.mul.Tensor 2025-06-05T19:05:48.7396060Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_mul_tensor_26, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7396260Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_div_tensor_26, aten.div.Tensor 2025-06-05T19:05:48.7396490Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_div_tensor_26, data type: torch.float32, dims: [1, 576, 7, 7] 2025-06-05T19:05:48.7396650Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_mean_dim_9, aten.mean.dim 2025-06-05T19:05:48.7396880Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_mean_dim_9, data type: torch.float32, dims: [1, 576, 1, 1] 2025-06-05T19:05:48.7397070Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_view_copy_default, aten.view_copy.default 2025-06-05T19:05:48.7397300Z [DEBUG 2025-06-05 19:05:48,734 node_visitor.py:97] Serializing: aten_view_copy_default, data type: torch.float32, dims: [1, 576] 2025-06-05T19:05:48.7397480Z [INFO 2025-06-05 19:05:48,734 mps_preprocess.py:193] Visiting: aten_addmm_default, aten.addmm.default 2025-06-05T19:05:48.7397730Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: p_classifier_0_bias, data type: torch.float32, dims: [1024] 2025-06-05T19:05:48.7397960Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_addmm_default, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7398150Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_add_tensor_33, aten.add.Tensor 2025-06-05T19:05:48.7398370Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_add_tensor_33, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7398550Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_clamp_default_54, aten.clamp.default 2025-06-05T19:05:48.7398780Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_clamp_default_54, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7398960Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_clamp_default_55, aten.clamp.default 2025-06-05T19:05:48.7399200Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_clamp_default_55, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7399370Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_mul_tensor_27, aten.mul.Tensor 2025-06-05T19:05:48.7399590Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_mul_tensor_27, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7399770Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_div_tensor_27, aten.div.Tensor 2025-06-05T19:05:48.7399980Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_div_tensor_27, data type: torch.float32, dims: [1, 1024] 2025-06-05T19:05:48.7400170Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:193] Visiting: aten_addmm_default_1, aten.addmm.default 2025-06-05T19:05:48.7400390Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: p_classifier_3_bias, data type: torch.float32, dims: [1000] 2025-06-05T19:05:48.7400620Z [DEBUG 2025-06-05 19:05:48,735 node_visitor.py:97] Serializing: aten_addmm_default_1, data type: torch.float32, dims: [1, 1000] 2025-06-05T19:05:48.7400740Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:05:48.7400840Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:285] Version: 0 2025-06-05T19:05:48.7400940Z [INFO 2025-06-05 19:05:48,735 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:05:48.7401280Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSCast(input1_id=0, output_id=0, dtype=), min_max=None) 2025-06-05T19:05:48.7401840Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSConv2D(input1_id=0, input2_id=1, input3_id=-1, output_id=2, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:05:48.7402150Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSPermute(input1_id=3, output_id=4, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:05:48.7402460Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSPermute(input1_id=5, output_id=6, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:05:48.7402910Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=2, mean_id=65, var_id=66, weight_id=63, bias_id=64, momentum=0.01, epsilon=0.001, output1_id=67, output2_id=68, output3_id=69), min_max=None) 2025-06-05T19:05:48.7403180Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSAdd(input1_id=67, input2_id=7, output_id=70, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7403490Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSClamp(input1_id=70, output_id=71), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7403790Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSClamp(input1_id=71, output_id=72), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7404100Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSMul(input1_id=67, input2_id=72, output_id=73), min_max=None) 2025-06-05T19:05:48.7404430Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSDiv(input1_id=73, input2_id=8, output_id=74, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7405010Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=74, input2_id=75, input3_id=-1, output_id=76, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=16, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:05:48.7405460Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=76, mean_id=79, var_id=80, weight_id=77, bias_id=78, momentum=0.01, epsilon=0.001, output1_id=81, output2_id=82, output3_id=83), min_max=None) 2025-06-05T19:05:48.7405750Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSReLU(input1_id=81, output_id=84), min_max=None) 2025-06-05T19:05:48.7406060Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSMean(input1_id=84, output_id=85, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7406610Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSConv2D(input1_id=85, input2_id=86, input3_id=87, output_id=88, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7406840Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSReLU(input1_id=88, output_id=89), min_max=None) 2025-06-05T19:05:48.7407400Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSConv2D(input1_id=89, input2_id=90, input3_id=91, output_id=92, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7407680Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSAdd(input1_id=92, input2_id=9, output_id=93, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7407980Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSClamp(input1_id=93, output_id=94), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7408290Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSClamp(input1_id=94, output_id=95), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7408620Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSDiv(input1_id=95, input2_id=10, output_id=96, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7408910Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSMul(input1_id=96, input2_id=84, output_id=97), min_max=None) 2025-06-05T19:05:48.7409460Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSConv2D(input1_id=97, input2_id=98, input3_id=-1, output_id=99, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7409920Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=99, mean_id=102, var_id=103, weight_id=100, bias_id=101, momentum=0.01, epsilon=0.001, output1_id=104, output2_id=105, output3_id=106), min_max=None) 2025-06-05T19:05:48.7410480Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSConv2D(input1_id=104, input2_id=107, input3_id=-1, output_id=108, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7410970Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=108, mean_id=111, var_id=112, weight_id=109, bias_id=110, momentum=0.01, epsilon=0.001, output1_id=113, output2_id=114, output3_id=115), min_max=None) 2025-06-05T19:05:48.7411230Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSReLU(input1_id=113, output_id=116), min_max=None) 2025-06-05T19:05:48.7411820Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [27]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=116, input2_id=117, input3_id=-1, output_id=118, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=72, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:05:48.7412280Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [28]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=118, mean_id=121, var_id=122, weight_id=119, bias_id=120, momentum=0.01, epsilon=0.001, output1_id=123, output2_id=124, output3_id=125), min_max=None) 2025-06-05T19:05:48.7412530Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [29]: MPSNode(mpsnode_union=MPSReLU(input1_id=123, output_id=126), min_max=None) 2025-06-05T19:05:48.7413080Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [30]: MPSNode(mpsnode_union=MPSConv2D(input1_id=126, input2_id=127, input3_id=-1, output_id=128, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7413530Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [31]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=128, mean_id=131, var_id=132, weight_id=129, bias_id=130, momentum=0.01, epsilon=0.001, output1_id=133, output2_id=134, output3_id=135), min_max=None) 2025-06-05T19:05:48.7414090Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [32]: MPSNode(mpsnode_union=MPSConv2D(input1_id=133, input2_id=136, input3_id=-1, output_id=137, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7414560Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [33]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=137, mean_id=140, var_id=141, weight_id=138, bias_id=139, momentum=0.01, epsilon=0.001, output1_id=142, output2_id=143, output3_id=144), min_max=None) 2025-06-05T19:05:48.7414790Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [34]: MPSNode(mpsnode_union=MPSReLU(input1_id=142, output_id=145), min_max=None) 2025-06-05T19:05:48.7415400Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [35]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=145, input2_id=146, input3_id=-1, output_id=147, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=88, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:05:48.7415880Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [36]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=147, mean_id=150, var_id=151, weight_id=148, bias_id=149, momentum=0.01, epsilon=0.001, output1_id=152, output2_id=153, output3_id=154), min_max=None) 2025-06-05T19:05:48.7416120Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [37]: MPSNode(mpsnode_union=MPSReLU(input1_id=152, output_id=155), min_max=None) 2025-06-05T19:05:48.7416670Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [38]: MPSNode(mpsnode_union=MPSConv2D(input1_id=155, input2_id=156, input3_id=-1, output_id=157, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7417130Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [39]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=157, mean_id=160, var_id=161, weight_id=158, bias_id=159, momentum=0.01, epsilon=0.001, output1_id=162, output2_id=163, output3_id=164), min_max=None) 2025-06-05T19:05:48.7417430Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [40]: MPSNode(mpsnode_union=MPSAdd(input1_id=162, input2_id=133, output_id=165, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7417980Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [41]: MPSNode(mpsnode_union=MPSConv2D(input1_id=165, input2_id=166, input3_id=-1, output_id=167, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7418490Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [42]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=167, mean_id=170, var_id=171, weight_id=168, bias_id=169, momentum=0.01, epsilon=0.001, output1_id=172, output2_id=173, output3_id=174), min_max=None) 2025-06-05T19:05:48.7418770Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [43]: MPSNode(mpsnode_union=MPSAdd(input1_id=172, input2_id=11, output_id=175, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7419090Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [44]: MPSNode(mpsnode_union=MPSClamp(input1_id=175, output_id=176), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7419400Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [45]: MPSNode(mpsnode_union=MPSClamp(input1_id=176, output_id=177), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7419660Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [46]: MPSNode(mpsnode_union=MPSMul(input1_id=172, input2_id=177, output_id=178), min_max=None) 2025-06-05T19:05:48.7419960Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [47]: MPSNode(mpsnode_union=MPSDiv(input1_id=178, input2_id=12, output_id=179, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7420550Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [48]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=179, input2_id=180, input3_id=-1, output_id=181, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=96, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7421020Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [49]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=181, mean_id=184, var_id=185, weight_id=182, bias_id=183, momentum=0.01, epsilon=0.001, output1_id=186, output2_id=187, output3_id=188), min_max=None) 2025-06-05T19:05:48.7421300Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [50]: MPSNode(mpsnode_union=MPSAdd(input1_id=186, input2_id=13, output_id=189, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7421610Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [51]: MPSNode(mpsnode_union=MPSClamp(input1_id=189, output_id=190), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7421910Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [52]: MPSNode(mpsnode_union=MPSClamp(input1_id=190, output_id=191), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7422190Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [53]: MPSNode(mpsnode_union=MPSMul(input1_id=186, input2_id=191, output_id=192), min_max=None) 2025-06-05T19:05:48.7422510Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [54]: MPSNode(mpsnode_union=MPSDiv(input1_id=192, input2_id=14, output_id=193, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7422840Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [55]: MPSNode(mpsnode_union=MPSMean(input1_id=193, output_id=194, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7423390Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [56]: MPSNode(mpsnode_union=MPSConv2D(input1_id=194, input2_id=195, input3_id=196, output_id=197, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7423640Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [57]: MPSNode(mpsnode_union=MPSReLU(input1_id=197, output_id=198), min_max=None) 2025-06-05T19:05:48.7424210Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [58]: MPSNode(mpsnode_union=MPSConv2D(input1_id=198, input2_id=199, input3_id=200, output_id=201, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7424520Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [59]: MPSNode(mpsnode_union=MPSAdd(input1_id=201, input2_id=15, output_id=202, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7424820Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [60]: MPSNode(mpsnode_union=MPSClamp(input1_id=202, output_id=203), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7425130Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [61]: MPSNode(mpsnode_union=MPSClamp(input1_id=203, output_id=204), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7425430Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [62]: MPSNode(mpsnode_union=MPSDiv(input1_id=204, input2_id=16, output_id=205, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7425690Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [63]: MPSNode(mpsnode_union=MPSMul(input1_id=205, input2_id=193, output_id=206), min_max=None) 2025-06-05T19:05:48.7426240Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [64]: MPSNode(mpsnode_union=MPSConv2D(input1_id=206, input2_id=207, input3_id=-1, output_id=208, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7426690Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [65]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=208, mean_id=211, var_id=212, weight_id=209, bias_id=210, momentum=0.01, epsilon=0.001, output1_id=213, output2_id=214, output3_id=215), min_max=None) 2025-06-05T19:05:48.7427240Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [66]: MPSNode(mpsnode_union=MPSConv2D(input1_id=213, input2_id=216, input3_id=-1, output_id=217, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7427710Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [67]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=217, mean_id=220, var_id=221, weight_id=218, bias_id=219, momentum=0.01, epsilon=0.001, output1_id=222, output2_id=223, output3_id=224), min_max=None) 2025-06-05T19:05:48.7427990Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [68]: MPSNode(mpsnode_union=MPSAdd(input1_id=222, input2_id=17, output_id=225, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7428310Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [69]: MPSNode(mpsnode_union=MPSClamp(input1_id=225, output_id=226), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7428640Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [70]: MPSNode(mpsnode_union=MPSClamp(input1_id=226, output_id=227), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7428920Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [71]: MPSNode(mpsnode_union=MPSMul(input1_id=222, input2_id=227, output_id=228), min_max=None) 2025-06-05T19:05:48.7429220Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [72]: MPSNode(mpsnode_union=MPSDiv(input1_id=228, input2_id=18, output_id=229, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7429800Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [73]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=229, input2_id=230, input3_id=-1, output_id=231, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=240, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7430270Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [74]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=231, mean_id=234, var_id=235, weight_id=232, bias_id=233, momentum=0.01, epsilon=0.001, output1_id=236, output2_id=237, output3_id=238), min_max=None) 2025-06-05T19:05:48.7430580Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [75]: MPSNode(mpsnode_union=MPSAdd(input1_id=236, input2_id=19, output_id=239, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7430890Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [76]: MPSNode(mpsnode_union=MPSClamp(input1_id=239, output_id=240), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7431230Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [77]: MPSNode(mpsnode_union=MPSClamp(input1_id=240, output_id=241), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7431490Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [78]: MPSNode(mpsnode_union=MPSMul(input1_id=236, input2_id=241, output_id=242), min_max=None) 2025-06-05T19:05:48.7431790Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [79]: MPSNode(mpsnode_union=MPSDiv(input1_id=242, input2_id=20, output_id=243, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7432110Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [80]: MPSNode(mpsnode_union=MPSMean(input1_id=243, output_id=244, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7432680Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [81]: MPSNode(mpsnode_union=MPSConv2D(input1_id=244, input2_id=245, input3_id=246, output_id=247, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7432920Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [82]: MPSNode(mpsnode_union=MPSReLU(input1_id=247, output_id=248), min_max=None) 2025-06-05T19:05:48.7433470Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [83]: MPSNode(mpsnode_union=MPSConv2D(input1_id=248, input2_id=249, input3_id=250, output_id=251, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7433760Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [84]: MPSNode(mpsnode_union=MPSAdd(input1_id=251, input2_id=21, output_id=252, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7434060Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [85]: MPSNode(mpsnode_union=MPSClamp(input1_id=252, output_id=253), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7434370Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [86]: MPSNode(mpsnode_union=MPSClamp(input1_id=253, output_id=254), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7434670Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [87]: MPSNode(mpsnode_union=MPSDiv(input1_id=254, input2_id=22, output_id=255, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7434930Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [88]: MPSNode(mpsnode_union=MPSMul(input1_id=255, input2_id=243, output_id=256), min_max=None) 2025-06-05T19:05:48.7435510Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [89]: MPSNode(mpsnode_union=MPSConv2D(input1_id=256, input2_id=257, input3_id=-1, output_id=258, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7435990Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [90]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=258, mean_id=261, var_id=262, weight_id=259, bias_id=260, momentum=0.01, epsilon=0.001, output1_id=263, output2_id=264, output3_id=265), min_max=None) 2025-06-05T19:05:48.7436280Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [91]: MPSNode(mpsnode_union=MPSAdd(input1_id=263, input2_id=213, output_id=266, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7436910Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [92]: MPSNode(mpsnode_union=MPSConv2D(input1_id=266, input2_id=267, input3_id=-1, output_id=268, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7437450Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [93]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=268, mean_id=271, var_id=272, weight_id=269, bias_id=270, momentum=0.01, epsilon=0.001, output1_id=273, output2_id=274, output3_id=275), min_max=None) 2025-06-05T19:05:48.7437770Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [94]: MPSNode(mpsnode_union=MPSAdd(input1_id=273, input2_id=23, output_id=276, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7438090Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [95]: MPSNode(mpsnode_union=MPSClamp(input1_id=276, output_id=277), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7438400Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [96]: MPSNode(mpsnode_union=MPSClamp(input1_id=277, output_id=278), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7438660Z [INFO 2025-06-05 19:05:48,736 mps_preprocess.py:288] [97]: MPSNode(mpsnode_union=MPSMul(input1_id=273, input2_id=278, output_id=279), min_max=None) 2025-06-05T19:05:48.7438970Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [98]: MPSNode(mpsnode_union=MPSDiv(input1_id=279, input2_id=24, output_id=280, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7439560Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [99]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=280, input2_id=281, input3_id=-1, output_id=282, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=240, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7440020Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [100]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=282, mean_id=285, var_id=286, weight_id=283, bias_id=284, momentum=0.01, epsilon=0.001, output1_id=287, output2_id=288, output3_id=289), min_max=None) 2025-06-05T19:05:48.7440310Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [101]: MPSNode(mpsnode_union=MPSAdd(input1_id=287, input2_id=25, output_id=290, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7440630Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [102]: MPSNode(mpsnode_union=MPSClamp(input1_id=290, output_id=291), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7440940Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [103]: MPSNode(mpsnode_union=MPSClamp(input1_id=291, output_id=292), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7441200Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [104]: MPSNode(mpsnode_union=MPSMul(input1_id=287, input2_id=292, output_id=293), min_max=None) 2025-06-05T19:05:48.7441510Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [105]: MPSNode(mpsnode_union=MPSDiv(input1_id=293, input2_id=26, output_id=294, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7441870Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [106]: MPSNode(mpsnode_union=MPSMean(input1_id=294, output_id=295, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7442460Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [107]: MPSNode(mpsnode_union=MPSConv2D(input1_id=295, input2_id=296, input3_id=297, output_id=298, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7442710Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [108]: MPSNode(mpsnode_union=MPSReLU(input1_id=298, output_id=299), min_max=None) 2025-06-05T19:05:48.7443260Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [109]: MPSNode(mpsnode_union=MPSConv2D(input1_id=299, input2_id=300, input3_id=301, output_id=302, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7443540Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [110]: MPSNode(mpsnode_union=MPSAdd(input1_id=302, input2_id=27, output_id=303, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7443880Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [111]: MPSNode(mpsnode_union=MPSClamp(input1_id=303, output_id=304), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7444190Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [112]: MPSNode(mpsnode_union=MPSClamp(input1_id=304, output_id=305), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7444540Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [113]: MPSNode(mpsnode_union=MPSDiv(input1_id=305, input2_id=28, output_id=306, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7444800Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [114]: MPSNode(mpsnode_union=MPSMul(input1_id=306, input2_id=294, output_id=307), min_max=None) 2025-06-05T19:05:48.7445360Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [115]: MPSNode(mpsnode_union=MPSConv2D(input1_id=307, input2_id=308, input3_id=-1, output_id=309, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7445820Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [116]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=309, mean_id=312, var_id=313, weight_id=310, bias_id=311, momentum=0.01, epsilon=0.001, output1_id=314, output2_id=315, output3_id=316), min_max=None) 2025-06-05T19:05:48.7446110Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [117]: MPSNode(mpsnode_union=MPSAdd(input1_id=314, input2_id=266, output_id=317, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7446660Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [118]: MPSNode(mpsnode_union=MPSConv2D(input1_id=317, input2_id=318, input3_id=-1, output_id=319, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7447120Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [119]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=319, mean_id=322, var_id=323, weight_id=320, bias_id=321, momentum=0.01, epsilon=0.001, output1_id=324, output2_id=325, output3_id=326), min_max=None) 2025-06-05T19:05:48.7447420Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [120]: MPSNode(mpsnode_union=MPSAdd(input1_id=324, input2_id=29, output_id=327, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7447730Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [121]: MPSNode(mpsnode_union=MPSClamp(input1_id=327, output_id=328), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7448030Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [122]: MPSNode(mpsnode_union=MPSClamp(input1_id=328, output_id=329), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7448300Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [123]: MPSNode(mpsnode_union=MPSMul(input1_id=324, input2_id=329, output_id=330), min_max=None) 2025-06-05T19:05:48.7448620Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [124]: MPSNode(mpsnode_union=MPSDiv(input1_id=330, input2_id=30, output_id=331, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7449240Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [125]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=331, input2_id=332, input3_id=-1, output_id=333, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=120, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7449710Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [126]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=333, mean_id=336, var_id=337, weight_id=334, bias_id=335, momentum=0.01, epsilon=0.001, output1_id=338, output2_id=339, output3_id=340), min_max=None) 2025-06-05T19:05:48.7449990Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [127]: MPSNode(mpsnode_union=MPSAdd(input1_id=338, input2_id=31, output_id=341, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7450300Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [128]: MPSNode(mpsnode_union=MPSClamp(input1_id=341, output_id=342), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7450630Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [129]: MPSNode(mpsnode_union=MPSClamp(input1_id=342, output_id=343), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7450920Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [130]: MPSNode(mpsnode_union=MPSMul(input1_id=338, input2_id=343, output_id=344), min_max=None) 2025-06-05T19:05:48.7451220Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [131]: MPSNode(mpsnode_union=MPSDiv(input1_id=344, input2_id=32, output_id=345, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7451540Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [132]: MPSNode(mpsnode_union=MPSMean(input1_id=345, output_id=346, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7452110Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [133]: MPSNode(mpsnode_union=MPSConv2D(input1_id=346, input2_id=347, input3_id=348, output_id=349, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7452350Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [134]: MPSNode(mpsnode_union=MPSReLU(input1_id=349, output_id=350), min_max=None) 2025-06-05T19:05:48.7452900Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [135]: MPSNode(mpsnode_union=MPSConv2D(input1_id=350, input2_id=351, input3_id=352, output_id=353, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7453190Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [136]: MPSNode(mpsnode_union=MPSAdd(input1_id=353, input2_id=33, output_id=354, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7453500Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [137]: MPSNode(mpsnode_union=MPSClamp(input1_id=354, output_id=355), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7453820Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [138]: MPSNode(mpsnode_union=MPSClamp(input1_id=355, output_id=356), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7454120Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [139]: MPSNode(mpsnode_union=MPSDiv(input1_id=356, input2_id=34, output_id=357, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7454380Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [140]: MPSNode(mpsnode_union=MPSMul(input1_id=357, input2_id=345, output_id=358), min_max=None) 2025-06-05T19:05:48.7454930Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [141]: MPSNode(mpsnode_union=MPSConv2D(input1_id=358, input2_id=359, input3_id=-1, output_id=360, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7455450Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [142]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=360, mean_id=363, var_id=364, weight_id=361, bias_id=362, momentum=0.01, epsilon=0.001, output1_id=365, output2_id=366, output3_id=367), min_max=None) 2025-06-05T19:05:48.7456010Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [143]: MPSNode(mpsnode_union=MPSConv2D(input1_id=365, input2_id=368, input3_id=-1, output_id=369, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7456500Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [144]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=369, mean_id=372, var_id=373, weight_id=370, bias_id=371, momentum=0.01, epsilon=0.001, output1_id=374, output2_id=375, output3_id=376), min_max=None) 2025-06-05T19:05:48.7456780Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [145]: MPSNode(mpsnode_union=MPSAdd(input1_id=374, input2_id=35, output_id=377, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7457120Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [146]: MPSNode(mpsnode_union=MPSClamp(input1_id=377, output_id=378), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7457440Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [147]: MPSNode(mpsnode_union=MPSClamp(input1_id=378, output_id=379), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7457730Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [148]: MPSNode(mpsnode_union=MPSMul(input1_id=374, input2_id=379, output_id=380), min_max=None) 2025-06-05T19:05:48.7458020Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [149]: MPSNode(mpsnode_union=MPSDiv(input1_id=380, input2_id=36, output_id=381, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7458610Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [150]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=381, input2_id=382, input3_id=-1, output_id=383, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=144, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7459070Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [151]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=383, mean_id=386, var_id=387, weight_id=384, bias_id=385, momentum=0.01, epsilon=0.001, output1_id=388, output2_id=389, output3_id=390), min_max=None) 2025-06-05T19:05:48.7459350Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [152]: MPSNode(mpsnode_union=MPSAdd(input1_id=388, input2_id=37, output_id=391, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7459670Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [153]: MPSNode(mpsnode_union=MPSClamp(input1_id=391, output_id=392), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7459980Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [154]: MPSNode(mpsnode_union=MPSClamp(input1_id=392, output_id=393), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7460250Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [155]: MPSNode(mpsnode_union=MPSMul(input1_id=388, input2_id=393, output_id=394), min_max=None) 2025-06-05T19:05:48.7460550Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [156]: MPSNode(mpsnode_union=MPSDiv(input1_id=394, input2_id=38, output_id=395, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7460870Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [157]: MPSNode(mpsnode_union=MPSMean(input1_id=395, output_id=396, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7461420Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [158]: MPSNode(mpsnode_union=MPSConv2D(input1_id=396, input2_id=397, input3_id=398, output_id=399, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7461690Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [159]: MPSNode(mpsnode_union=MPSReLU(input1_id=399, output_id=400), min_max=None) 2025-06-05T19:05:48.7462270Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [160]: MPSNode(mpsnode_union=MPSConv2D(input1_id=400, input2_id=401, input3_id=402, output_id=403, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7462560Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [161]: MPSNode(mpsnode_union=MPSAdd(input1_id=403, input2_id=39, output_id=404, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7462870Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [162]: MPSNode(mpsnode_union=MPSClamp(input1_id=404, output_id=405), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7463170Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [163]: MPSNode(mpsnode_union=MPSClamp(input1_id=405, output_id=406), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7463500Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [164]: MPSNode(mpsnode_union=MPSDiv(input1_id=406, input2_id=40, output_id=407, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7463760Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [165]: MPSNode(mpsnode_union=MPSMul(input1_id=407, input2_id=395, output_id=408), min_max=None) 2025-06-05T19:05:48.7464340Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [166]: MPSNode(mpsnode_union=MPSConv2D(input1_id=408, input2_id=409, input3_id=-1, output_id=410, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7464800Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [167]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=410, mean_id=413, var_id=414, weight_id=411, bias_id=412, momentum=0.01, epsilon=0.001, output1_id=415, output2_id=416, output3_id=417), min_max=None) 2025-06-05T19:05:48.7465080Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [168]: MPSNode(mpsnode_union=MPSAdd(input1_id=415, input2_id=365, output_id=418, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7465640Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [169]: MPSNode(mpsnode_union=MPSConv2D(input1_id=418, input2_id=419, input3_id=-1, output_id=420, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7466100Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [170]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=420, mean_id=423, var_id=424, weight_id=421, bias_id=422, momentum=0.01, epsilon=0.001, output1_id=425, output2_id=426, output3_id=427), min_max=None) 2025-06-05T19:05:48.7466380Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [171]: MPSNode(mpsnode_union=MPSAdd(input1_id=425, input2_id=41, output_id=428, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7466690Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [172]: MPSNode(mpsnode_union=MPSClamp(input1_id=428, output_id=429), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7467000Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [173]: MPSNode(mpsnode_union=MPSClamp(input1_id=429, output_id=430), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7467260Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [174]: MPSNode(mpsnode_union=MPSMul(input1_id=425, input2_id=430, output_id=431), min_max=None) 2025-06-05T19:05:48.7467560Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [175]: MPSNode(mpsnode_union=MPSDiv(input1_id=431, input2_id=42, output_id=432, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7468170Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [176]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=432, input2_id=433, input3_id=-1, output_id=434, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=288, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7468660Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [177]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=434, mean_id=437, var_id=438, weight_id=435, bias_id=436, momentum=0.01, epsilon=0.001, output1_id=439, output2_id=440, output3_id=441), min_max=None) 2025-06-05T19:05:48.7468940Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [178]: MPSNode(mpsnode_union=MPSAdd(input1_id=439, input2_id=43, output_id=442, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7469250Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [179]: MPSNode(mpsnode_union=MPSClamp(input1_id=442, output_id=443), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7469560Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [180]: MPSNode(mpsnode_union=MPSClamp(input1_id=443, output_id=444), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7469830Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [181]: MPSNode(mpsnode_union=MPSMul(input1_id=439, input2_id=444, output_id=445), min_max=None) 2025-06-05T19:05:48.7470160Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [182]: MPSNode(mpsnode_union=MPSDiv(input1_id=445, input2_id=44, output_id=446, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7470480Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [183]: MPSNode(mpsnode_union=MPSMean(input1_id=446, output_id=447, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7471070Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [184]: MPSNode(mpsnode_union=MPSConv2D(input1_id=447, input2_id=448, input3_id=449, output_id=450, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7471310Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [185]: MPSNode(mpsnode_union=MPSReLU(input1_id=450, output_id=451), min_max=None) 2025-06-05T19:05:48.7471860Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [186]: MPSNode(mpsnode_union=MPSConv2D(input1_id=451, input2_id=452, input3_id=453, output_id=454, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7472140Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [187]: MPSNode(mpsnode_union=MPSAdd(input1_id=454, input2_id=45, output_id=455, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7472460Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [188]: MPSNode(mpsnode_union=MPSClamp(input1_id=455, output_id=456), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7472760Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [189]: MPSNode(mpsnode_union=MPSClamp(input1_id=456, output_id=457), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7473060Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [190]: MPSNode(mpsnode_union=MPSDiv(input1_id=457, input2_id=46, output_id=458, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7473330Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [191]: MPSNode(mpsnode_union=MPSMul(input1_id=458, input2_id=446, output_id=459), min_max=None) 2025-06-05T19:05:48.7473870Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [192]: MPSNode(mpsnode_union=MPSConv2D(input1_id=459, input2_id=460, input3_id=-1, output_id=461, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7474330Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [193]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=461, mean_id=464, var_id=465, weight_id=462, bias_id=463, momentum=0.01, epsilon=0.001, output1_id=466, output2_id=467, output3_id=468), min_max=None) 2025-06-05T19:05:48.7474910Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [194]: MPSNode(mpsnode_union=MPSConv2D(input1_id=466, input2_id=469, input3_id=-1, output_id=470, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7475390Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [195]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=470, mean_id=473, var_id=474, weight_id=471, bias_id=472, momentum=0.01, epsilon=0.001, output1_id=475, output2_id=476, output3_id=477), min_max=None) 2025-06-05T19:05:48.7475680Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [196]: MPSNode(mpsnode_union=MPSAdd(input1_id=475, input2_id=47, output_id=478, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7475990Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [197]: MPSNode(mpsnode_union=MPSClamp(input1_id=478, output_id=479), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7476300Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [198]: MPSNode(mpsnode_union=MPSClamp(input1_id=479, output_id=480), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7476580Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [199]: MPSNode(mpsnode_union=MPSMul(input1_id=475, input2_id=480, output_id=481), min_max=None) 2025-06-05T19:05:48.7476880Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [200]: MPSNode(mpsnode_union=MPSDiv(input1_id=481, input2_id=48, output_id=482, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7477490Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [201]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=482, input2_id=483, input3_id=-1, output_id=484, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=576, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7477950Z [INFO 2025-06-05 19:05:48,737 mps_preprocess.py:288] [202]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=484, mean_id=487, var_id=488, weight_id=485, bias_id=486, momentum=0.01, epsilon=0.001, output1_id=489, output2_id=490, output3_id=491), min_max=None) 2025-06-05T19:05:48.7478240Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [203]: MPSNode(mpsnode_union=MPSAdd(input1_id=489, input2_id=49, output_id=492, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7478550Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [204]: MPSNode(mpsnode_union=MPSClamp(input1_id=492, output_id=493), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7478860Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [205]: MPSNode(mpsnode_union=MPSClamp(input1_id=493, output_id=494), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7479120Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [206]: MPSNode(mpsnode_union=MPSMul(input1_id=489, input2_id=494, output_id=495), min_max=None) 2025-06-05T19:05:48.7479430Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [207]: MPSNode(mpsnode_union=MPSDiv(input1_id=495, input2_id=50, output_id=496, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7479740Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [208]: MPSNode(mpsnode_union=MPSMean(input1_id=496, output_id=497, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7480300Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [209]: MPSNode(mpsnode_union=MPSConv2D(input1_id=497, input2_id=498, input3_id=499, output_id=500, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7480540Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [210]: MPSNode(mpsnode_union=MPSReLU(input1_id=500, output_id=501), min_max=None) 2025-06-05T19:05:48.7481090Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [211]: MPSNode(mpsnode_union=MPSConv2D(input1_id=501, input2_id=502, input3_id=503, output_id=504, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7481390Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [212]: MPSNode(mpsnode_union=MPSAdd(input1_id=504, input2_id=51, output_id=505, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7481720Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [213]: MPSNode(mpsnode_union=MPSClamp(input1_id=505, output_id=506), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7482040Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [214]: MPSNode(mpsnode_union=MPSClamp(input1_id=506, output_id=507), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7482340Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [215]: MPSNode(mpsnode_union=MPSDiv(input1_id=507, input2_id=52, output_id=508, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7482600Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [216]: MPSNode(mpsnode_union=MPSMul(input1_id=508, input2_id=496, output_id=509), min_max=None) 2025-06-05T19:05:48.7483250Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [217]: MPSNode(mpsnode_union=MPSConv2D(input1_id=509, input2_id=510, input3_id=-1, output_id=511, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7483720Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [218]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=511, mean_id=514, var_id=515, weight_id=512, bias_id=513, momentum=0.01, epsilon=0.001, output1_id=516, output2_id=517, output3_id=518), min_max=None) 2025-06-05T19:05:48.7484040Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [219]: MPSNode(mpsnode_union=MPSAdd(input1_id=516, input2_id=466, output_id=519, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7484590Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [220]: MPSNode(mpsnode_union=MPSConv2D(input1_id=519, input2_id=520, input3_id=-1, output_id=521, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7485050Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [221]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=521, mean_id=524, var_id=525, weight_id=522, bias_id=523, momentum=0.01, epsilon=0.001, output1_id=526, output2_id=527, output3_id=528), min_max=None) 2025-06-05T19:05:48.7485330Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [222]: MPSNode(mpsnode_union=MPSAdd(input1_id=526, input2_id=53, output_id=529, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7485640Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [223]: MPSNode(mpsnode_union=MPSClamp(input1_id=529, output_id=530), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7485950Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [224]: MPSNode(mpsnode_union=MPSClamp(input1_id=530, output_id=531), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7486210Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [225]: MPSNode(mpsnode_union=MPSMul(input1_id=526, input2_id=531, output_id=532), min_max=None) 2025-06-05T19:05:48.7486520Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [226]: MPSNode(mpsnode_union=MPSDiv(input1_id=532, input2_id=54, output_id=533, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7487100Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [227]: MPSNode(mpsnode_union=MPSDepthwiseConv2D(input1_id=533, input2_id=534, input3_id=-1, output_id=535, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=576, padding_left=2, padding_right=2, padding_top=2, padding_bottom=2), min_max=None) 2025-06-05T19:05:48.7487560Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [228]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=535, mean_id=538, var_id=539, weight_id=536, bias_id=537, momentum=0.01, epsilon=0.001, output1_id=540, output2_id=541, output3_id=542), min_max=None) 2025-06-05T19:05:48.7487890Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [229]: MPSNode(mpsnode_union=MPSAdd(input1_id=540, input2_id=55, output_id=543, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7488240Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [230]: MPSNode(mpsnode_union=MPSClamp(input1_id=543, output_id=544), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7488550Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [231]: MPSNode(mpsnode_union=MPSClamp(input1_id=544, output_id=545), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7488810Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [232]: MPSNode(mpsnode_union=MPSMul(input1_id=540, input2_id=545, output_id=546), min_max=None) 2025-06-05T19:05:48.7489110Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [233]: MPSNode(mpsnode_union=MPSDiv(input1_id=546, input2_id=56, output_id=547, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7489430Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [234]: MPSNode(mpsnode_union=MPSMean(input1_id=547, output_id=548, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7490010Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [235]: MPSNode(mpsnode_union=MPSConv2D(input1_id=548, input2_id=549, input3_id=550, output_id=551, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7490270Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [236]: MPSNode(mpsnode_union=MPSReLU(input1_id=551, output_id=552), min_max=None) 2025-06-05T19:05:48.7490820Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [237]: MPSNode(mpsnode_union=MPSConv2D(input1_id=552, input2_id=553, input3_id=554, output_id=555, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7491100Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [238]: MPSNode(mpsnode_union=MPSAdd(input1_id=555, input2_id=57, output_id=556, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7491410Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [239]: MPSNode(mpsnode_union=MPSClamp(input1_id=556, output_id=557), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7491720Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [240]: MPSNode(mpsnode_union=MPSClamp(input1_id=557, output_id=558), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7492020Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [241]: MPSNode(mpsnode_union=MPSDiv(input1_id=558, input2_id=58, output_id=559, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7492290Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [242]: MPSNode(mpsnode_union=MPSMul(input1_id=559, input2_id=547, output_id=560), min_max=None) 2025-06-05T19:05:48.7492840Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [243]: MPSNode(mpsnode_union=MPSConv2D(input1_id=560, input2_id=561, input3_id=-1, output_id=562, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7493300Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [244]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=562, mean_id=565, var_id=566, weight_id=563, bias_id=564, momentum=0.01, epsilon=0.001, output1_id=567, output2_id=568, output3_id=569), min_max=None) 2025-06-05T19:05:48.7493590Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [245]: MPSNode(mpsnode_union=MPSAdd(input1_id=567, input2_id=519, output_id=570, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7494140Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [246]: MPSNode(mpsnode_union=MPSConv2D(input1_id=570, input2_id=571, input3_id=-1, output_id=572, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:05:48.7494630Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [247]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=572, mean_id=575, var_id=576, weight_id=573, bias_id=574, momentum=0.01, epsilon=0.001, output1_id=577, output2_id=578, output3_id=579), min_max=None) 2025-06-05T19:05:48.7494930Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [248]: MPSNode(mpsnode_union=MPSAdd(input1_id=577, input2_id=59, output_id=580, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7495240Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [249]: MPSNode(mpsnode_union=MPSClamp(input1_id=580, output_id=581), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7495550Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [250]: MPSNode(mpsnode_union=MPSClamp(input1_id=581, output_id=582), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7495820Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [251]: MPSNode(mpsnode_union=MPSMul(input1_id=577, input2_id=582, output_id=583), min_max=None) 2025-06-05T19:05:48.7496120Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [252]: MPSNode(mpsnode_union=MPSDiv(input1_id=583, input2_id=60, output_id=584, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7496450Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [253]: MPSNode(mpsnode_union=MPSMean(input1_id=584, output_id=585, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:05:48.7496780Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [254]: MPSNode(mpsnode_union=MPSView(input1_id=585, output_id=586, num_dims=2, shape=[1, 576]), min_max=None) 2025-06-05T19:05:48.7497110Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [255]: MPSNode(mpsnode_union=MPSAddmm(input1_id=587, input2_id=586, input3_id=4, output_id=588, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7497400Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [256]: MPSNode(mpsnode_union=MPSAdd(input1_id=588, input2_id=61, output_id=589, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7497710Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [257]: MPSNode(mpsnode_union=MPSClamp(input1_id=589, output_id=590), min_max=MPSMinMax(min_value=0, max_value='inf')) 2025-06-05T19:05:48.7498020Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [258]: MPSNode(mpsnode_union=MPSClamp(input1_id=590, output_id=591), min_max=MPSMinMax(min_value='-inf', max_value=6)) 2025-06-05T19:05:48.7498280Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [259]: MPSNode(mpsnode_union=MPSMul(input1_id=588, input2_id=591, output_id=592), min_max=None) 2025-06-05T19:05:48.7498580Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [260]: MPSNode(mpsnode_union=MPSDiv(input1_id=592, input2_id=62, output_id=593, rounding_mode=None), min_max=None) 2025-06-05T19:05:48.7498920Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [261]: MPSNode(mpsnode_union=MPSAddmm(input1_id=594, input2_id=593, input3_id=6, output_id=595, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:05:48.7499260Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:288] [262]: MPSNode(mpsnode_union=MPSCast(input1_id=595, output_id=595, dtype=), min_max=None) 2025-06-05T19:05:48.7499370Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:289] MPS values: 2025-06-05T19:05:48.7499630Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [0]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7499890Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [1]: MPSTensor(datatype=1, num_dims=4, dims=[16, 3, 3, 3], constant_buffer_size=864, segment_offset=0) 2025-06-05T19:05:48.7500160Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [2]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7500430Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [3]: MPSTensor(datatype=1, num_dims=2, dims=[1024, 576], constant_buffer_size=1179648, segment_offset=864) 2025-06-05T19:05:48.7500710Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [4]: MPSTensor(datatype=2, num_dims=2, dims=[576, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7501020Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=2, dims=[1000, 1024], constant_buffer_size=2048000, segment_offset=1180512) 2025-06-05T19:05:48.7501280Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [6]: MPSTensor(datatype=2, num_dims=2, dims=[1024, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7501540Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [7]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228512) 2025-06-05T19:05:48.7501790Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [8]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228520) 2025-06-05T19:05:48.7502050Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [9]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228528) 2025-06-05T19:05:48.7502330Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [10]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228536) 2025-06-05T19:05:48.7502580Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [11]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228544) 2025-06-05T19:05:48.7502860Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [12]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228552) 2025-06-05T19:05:48.7503110Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [13]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228560) 2025-06-05T19:05:48.7503360Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [14]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228568) 2025-06-05T19:05:48.7503610Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [15]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228576) 2025-06-05T19:05:48.7503860Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [16]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228584) 2025-06-05T19:05:48.7504120Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [17]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228592) 2025-06-05T19:05:48.7504370Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [18]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228600) 2025-06-05T19:05:48.7504620Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [19]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228608) 2025-06-05T19:05:48.7504870Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [20]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228616) 2025-06-05T19:05:48.7505120Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [21]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228624) 2025-06-05T19:05:48.7505370Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [22]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228632) 2025-06-05T19:05:48.7505620Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [23]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228640) 2025-06-05T19:05:48.7505870Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [24]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228648) 2025-06-05T19:05:48.7506120Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [25]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228656) 2025-06-05T19:05:48.7506390Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [26]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228664) 2025-06-05T19:05:48.7506660Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [27]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228672) 2025-06-05T19:05:48.7506920Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [28]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228680) 2025-06-05T19:05:48.7507170Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [29]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228688) 2025-06-05T19:05:48.7507410Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [30]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228696) 2025-06-05T19:05:48.7507670Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [31]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228704) 2025-06-05T19:05:48.7507920Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [32]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228712) 2025-06-05T19:05:48.7508200Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [33]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228720) 2025-06-05T19:05:48.7508450Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [34]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228728) 2025-06-05T19:05:48.7508730Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [35]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228736) 2025-06-05T19:05:48.7508980Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [36]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228744) 2025-06-05T19:05:48.7509240Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [37]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228752) 2025-06-05T19:05:48.7509500Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [38]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228760) 2025-06-05T19:05:48.7509750Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [39]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228768) 2025-06-05T19:05:48.7510000Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [40]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228776) 2025-06-05T19:05:48.7510250Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [41]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228784) 2025-06-05T19:05:48.7510500Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [42]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228792) 2025-06-05T19:05:48.7510750Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [43]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228800) 2025-06-05T19:05:48.7511000Z [INFO 2025-06-05 19:05:48,738 mps_preprocess.py:291] [44]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228808) 2025-06-05T19:05:48.7511260Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [45]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228816) 2025-06-05T19:05:48.7511510Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [46]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228824) 2025-06-05T19:05:48.7511760Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [47]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228832) 2025-06-05T19:05:48.7512010Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [48]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228840) 2025-06-05T19:05:48.7512300Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [49]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228848) 2025-06-05T19:05:48.7512580Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [50]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228856) 2025-06-05T19:05:48.7512830Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [51]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228864) 2025-06-05T19:05:48.7513080Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [52]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228872) 2025-06-05T19:05:48.7513330Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [53]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228880) 2025-06-05T19:05:48.7513590Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [54]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228888) 2025-06-05T19:05:48.7513860Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [55]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228896) 2025-06-05T19:05:48.7514110Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [56]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228904) 2025-06-05T19:05:48.7514380Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [57]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228912) 2025-06-05T19:05:48.7514630Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [58]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228920) 2025-06-05T19:05:48.7514880Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [59]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228928) 2025-06-05T19:05:48.7515130Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [60]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228936) 2025-06-05T19:05:48.7515390Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [61]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228944) 2025-06-05T19:05:48.7515640Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [62]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=3228952) 2025-06-05T19:05:48.7515900Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [63]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3228960) 2025-06-05T19:05:48.7516160Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [64]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3228992) 2025-06-05T19:05:48.7516420Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [65]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229024) 2025-06-05T19:05:48.7516670Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [66]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229056) 2025-06-05T19:05:48.7516940Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [67]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7517180Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [68]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7517430Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [69]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7517690Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [70]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7517970Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [71]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7518250Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [72]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7518510Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [73]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7518770Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [74]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7519040Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [75]: MPSTensor(datatype=1, num_dims=4, dims=[16, 1, 3, 3], constant_buffer_size=288, segment_offset=3229088) 2025-06-05T19:05:48.7519300Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [76]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7519590Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [77]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229376) 2025-06-05T19:05:48.7519850Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [78]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229408) 2025-06-05T19:05:48.7520140Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [79]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229440) 2025-06-05T19:05:48.7520400Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [80]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3229472) 2025-06-05T19:05:48.7520650Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [81]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7520900Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [82]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7521150Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [83]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7521400Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [84]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7521660Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [85]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7521930Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [86]: MPSTensor(datatype=1, num_dims=4, dims=[8, 16, 1, 1], constant_buffer_size=256, segment_offset=3229504) 2025-06-05T19:05:48.7522180Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [87]: MPSTensor(datatype=1, num_dims=1, dims=[8], constant_buffer_size=16, segment_offset=3229760) 2025-06-05T19:05:48.7522440Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [88]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7522690Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [89]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7522960Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [90]: MPSTensor(datatype=1, num_dims=4, dims=[16, 8, 1, 1], constant_buffer_size=256, segment_offset=3229776) 2025-06-05T19:05:48.7523220Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [91]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3230032) 2025-06-05T19:05:48.7523470Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [92]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7523740Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [93]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7524020Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [94]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7524270Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [95]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7524530Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [96]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7524780Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [97]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7525050Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [98]: MPSTensor(datatype=1, num_dims=4, dims=[16, 16, 1, 1], constant_buffer_size=512, segment_offset=3230064) 2025-06-05T19:05:48.7525330Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [99]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7525600Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [100]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3230576) 2025-06-05T19:05:48.7525880Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [101]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3230608) 2025-06-05T19:05:48.7526140Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [102]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3230640) 2025-06-05T19:05:48.7526400Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [103]: MPSTensor(datatype=1, num_dims=1, dims=[16], constant_buffer_size=32, segment_offset=3230672) 2025-06-05T19:05:48.7526660Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [104]: MPSTensor(datatype=2, num_dims=4, dims=[1, 16, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7526910Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [105]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7527150Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [106]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7527430Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [107]: MPSTensor(datatype=1, num_dims=4, dims=[72, 16, 1, 1], constant_buffer_size=2304, segment_offset=3230704) 2025-06-05T19:05:48.7527690Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [108]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7527950Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [109]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3233008) 2025-06-05T19:05:48.7528220Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [110]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3233152) 2025-06-05T19:05:48.7528480Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [111]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3233296) 2025-06-05T19:05:48.7528750Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [112]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3233440) 2025-06-05T19:05:48.7529010Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [113]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7529250Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [114]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7529520Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [115]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7529800Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [116]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7530070Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [117]: MPSTensor(datatype=1, num_dims=4, dims=[72, 1, 3, 3], constant_buffer_size=1296, segment_offset=3233584) 2025-06-05T19:05:48.7530330Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [118]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7530590Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [119]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3234880) 2025-06-05T19:05:48.7530860Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [120]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3235024) 2025-06-05T19:05:48.7531160Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [121]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3235168) 2025-06-05T19:05:48.7531420Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [122]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3235312) 2025-06-05T19:05:48.7531700Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [123]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7531950Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [124]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7532190Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [125]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7532460Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [126]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7532730Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [127]: MPSTensor(datatype=1, num_dims=4, dims=[24, 72, 1, 1], constant_buffer_size=3456, segment_offset=3235456) 2025-06-05T19:05:48.7532990Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [128]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7533250Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [129]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3238912) 2025-06-05T19:05:48.7533510Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [130]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3238960) 2025-06-05T19:05:48.7533770Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [131]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3239008) 2025-06-05T19:05:48.7534030Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [132]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3239056) 2025-06-05T19:05:48.7534290Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [133]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7534540Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [134]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7534790Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [135]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7535060Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [136]: MPSTensor(datatype=1, num_dims=4, dims=[88, 24, 1, 1], constant_buffer_size=4224, segment_offset=3239104) 2025-06-05T19:05:48.7535350Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [137]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7535640Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [138]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3243328) 2025-06-05T19:05:48.7535910Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [139]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3243504) 2025-06-05T19:05:48.7536170Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [140]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3243680) 2025-06-05T19:05:48.7536430Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [141]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3243856) 2025-06-05T19:05:48.7536690Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [142]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7536980Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [143]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7537230Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [144]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7537500Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [145]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7537780Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [146]: MPSTensor(datatype=1, num_dims=4, dims=[88, 1, 3, 3], constant_buffer_size=1584, segment_offset=3244032) 2025-06-05T19:05:48.7538040Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [147]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7538300Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [148]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3245616) 2025-06-05T19:05:48.7538640Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [149]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3245792) 2025-06-05T19:05:48.7538900Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [150]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3245968) 2025-06-05T19:05:48.7539160Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [151]: MPSTensor(datatype=1, num_dims=1, dims=[88], constant_buffer_size=176, segment_offset=3246144) 2025-06-05T19:05:48.7539420Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [152]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7539670Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [153]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7539910Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [154]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7540170Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [155]: MPSTensor(datatype=2, num_dims=4, dims=[1, 88, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7540450Z [INFO 2025-06-05 19:05:48,739 mps_preprocess.py:291] [156]: MPSTensor(datatype=1, num_dims=4, dims=[24, 88, 1, 1], constant_buffer_size=4224, segment_offset=3246320) 2025-06-05T19:05:48.7540700Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [157]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7540960Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [158]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3250544) 2025-06-05T19:05:48.7541250Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [159]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3250592) 2025-06-05T19:05:48.7541530Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [160]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3250640) 2025-06-05T19:05:48.7541790Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [161]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3250688) 2025-06-05T19:05:48.7542050Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [162]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7542300Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [163]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7542550Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [164]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7542820Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [165]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7543100Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [166]: MPSTensor(datatype=1, num_dims=4, dims=[96, 24, 1, 1], constant_buffer_size=4608, segment_offset=3250736) 2025-06-05T19:05:48.7543400Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [167]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7543660Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [168]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3255344) 2025-06-05T19:05:48.7543920Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [169]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3255536) 2025-06-05T19:05:48.7544180Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [170]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3255728) 2025-06-05T19:05:48.7544450Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [171]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3255920) 2025-06-05T19:05:48.7544710Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [172]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7544950Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [173]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7545200Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [174]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7545460Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [175]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7545720Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [176]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7545970Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [177]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7546230Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [178]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7546490Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [179]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7546760Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [180]: MPSTensor(datatype=1, num_dims=4, dims=[96, 1, 5, 5], constant_buffer_size=4800, segment_offset=3256112) 2025-06-05T19:05:48.7547070Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [181]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7547340Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [182]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3260912) 2025-06-05T19:05:48.7547600Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [183]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3261104) 2025-06-05T19:05:48.7547870Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [184]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3261296) 2025-06-05T19:05:48.7548130Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [185]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3261488) 2025-06-05T19:05:48.7548380Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7548650Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [187]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7548900Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [188]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7549180Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [189]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7549440Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [190]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7549690Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [191]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7549950Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [192]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7550210Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [193]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7550460Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [194]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7550740Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [195]: MPSTensor(datatype=1, num_dims=4, dims=[24, 96, 1, 1], constant_buffer_size=4608, segment_offset=3261680) 2025-06-05T19:05:48.7551000Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [196]: MPSTensor(datatype=1, num_dims=1, dims=[24], constant_buffer_size=48, segment_offset=3266288) 2025-06-05T19:05:48.7551250Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [197]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7551520Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [198]: MPSTensor(datatype=2, num_dims=4, dims=[1, 24, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7551790Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [199]: MPSTensor(datatype=1, num_dims=4, dims=[96, 24, 1, 1], constant_buffer_size=4608, segment_offset=3266336) 2025-06-05T19:05:48.7552050Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [200]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3270944) 2025-06-05T19:05:48.7552310Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [201]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7552580Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [202]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7552860Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [203]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7553110Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [204]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7553370Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [205]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7553630Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [206]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7553900Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [207]: MPSTensor(datatype=1, num_dims=4, dims=[40, 96, 1, 1], constant_buffer_size=7680, segment_offset=3271136) 2025-06-05T19:05:48.7554160Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [208]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7554450Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [209]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3278816) 2025-06-05T19:05:48.7554740Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [210]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3278896) 2025-06-05T19:05:48.7555000Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [211]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3278976) 2025-06-05T19:05:48.7555260Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [212]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3279056) 2025-06-05T19:05:48.7555510Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [213]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7555760Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [214]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7556010Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [215]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7559960Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [216]: MPSTensor(datatype=1, num_dims=4, dims=[240, 40, 1, 1], constant_buffer_size=19200, segment_offset=3279136) 2025-06-05T19:05:48.7560230Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [217]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7560500Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [218]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3298336) 2025-06-05T19:05:48.7560770Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [219]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3298816) 2025-06-05T19:05:48.7561030Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [220]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3299296) 2025-06-05T19:05:48.7561300Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [221]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3299776) 2025-06-05T19:05:48.7561560Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [222]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7561810Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [223]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7562110Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [224]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7562410Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [225]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7562670Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [226]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7562930Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [227]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7563190Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [228]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7563450Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [229]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7563750Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [230]: MPSTensor(datatype=1, num_dims=4, dims=[240, 1, 5, 5], constant_buffer_size=12000, segment_offset=3300256) 2025-06-05T19:05:48.7564020Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [231]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7564300Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [232]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3312256) 2025-06-05T19:05:48.7564570Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [233]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3312736) 2025-06-05T19:05:48.7564830Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [234]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3313216) 2025-06-05T19:05:48.7565100Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [235]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3313696) 2025-06-05T19:05:48.7565360Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [236]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7565610Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [237]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7565860Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [238]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7566120Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [239]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7566370Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [240]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7566640Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [241]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7566900Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [242]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7567160Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [243]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7567410Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [244]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7567690Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [245]: MPSTensor(datatype=1, num_dims=4, dims=[64, 240, 1, 1], constant_buffer_size=30720, segment_offset=3314176) 2025-06-05T19:05:48.7567980Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [246]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3344896) 2025-06-05T19:05:48.7568260Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [247]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7568520Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [248]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7568790Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [249]: MPSTensor(datatype=1, num_dims=4, dims=[240, 64, 1, 1], constant_buffer_size=30720, segment_offset=3345024) 2025-06-05T19:05:48.7569060Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [250]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3375744) 2025-06-05T19:05:48.7569320Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [251]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7569600Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [252]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7569860Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [253]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7570160Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [254]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7570420Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [255]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7570680Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [256]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7570960Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [257]: MPSTensor(datatype=1, num_dims=4, dims=[40, 240, 1, 1], constant_buffer_size=19200, segment_offset=3376224) 2025-06-05T19:05:48.7571220Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [258]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7571480Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [259]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3395424) 2025-06-05T19:05:48.7571740Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [260]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3395504) 2025-06-05T19:05:48.7572000Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [261]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3395584) 2025-06-05T19:05:48.7572260Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [262]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3395664) 2025-06-05T19:05:48.7572510Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [263]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7572760Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [264]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7573010Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [265]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7573260Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [266]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7573560Z [INFO 2025-06-05 19:05:48,740 mps_preprocess.py:291] [267]: MPSTensor(datatype=1, num_dims=4, dims=[240, 40, 1, 1], constant_buffer_size=19200, segment_offset=3395744) 2025-06-05T19:05:48.7573850Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [268]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7574110Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [269]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3414944) 2025-06-05T19:05:48.7574380Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [270]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3415424) 2025-06-05T19:05:48.7574640Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [271]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3415904) 2025-06-05T19:05:48.7574900Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [272]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3416384) 2025-06-05T19:05:48.7575170Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [273]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7575430Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [274]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7575680Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [275]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7575960Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [276]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7576230Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [277]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7576490Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [278]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7576750Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [279]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7577010Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [280]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7577280Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [281]: MPSTensor(datatype=1, num_dims=4, dims=[240, 1, 5, 5], constant_buffer_size=12000, segment_offset=3416864) 2025-06-05T19:05:48.7577550Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [282]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7577810Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [283]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3428864) 2025-06-05T19:05:48.7578070Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [284]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3429344) 2025-06-05T19:05:48.7578340Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [285]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3429824) 2025-06-05T19:05:48.7578600Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [286]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3430304) 2025-06-05T19:05:48.7578860Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [287]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7579110Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [288]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7579380Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [289]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7579660Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [290]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7579920Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [291]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7580180Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [292]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7580440Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [293]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7580700Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [294]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7581060Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [295]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7581340Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [296]: MPSTensor(datatype=1, num_dims=4, dims=[64, 240, 1, 1], constant_buffer_size=30720, segment_offset=3430784) 2025-06-05T19:05:48.7581630Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [297]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3461504) 2025-06-05T19:05:48.7581890Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [298]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7582150Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [299]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7582420Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [300]: MPSTensor(datatype=1, num_dims=4, dims=[240, 64, 1, 1], constant_buffer_size=30720, segment_offset=3461632) 2025-06-05T19:05:48.7582690Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [301]: MPSTensor(datatype=1, num_dims=1, dims=[240], constant_buffer_size=480, segment_offset=3492352) 2025-06-05T19:05:48.7582950Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [302]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7583210Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [303]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7583470Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [304]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7583730Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [305]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7583990Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [306]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7584260Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [307]: MPSTensor(datatype=2, num_dims=4, dims=[1, 240, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7584540Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [308]: MPSTensor(datatype=1, num_dims=4, dims=[40, 240, 1, 1], constant_buffer_size=19200, segment_offset=3492832) 2025-06-05T19:05:48.7584800Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [309]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7585060Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [310]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3512032) 2025-06-05T19:05:48.7585350Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [311]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3512112) 2025-06-05T19:05:48.7585640Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [312]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3512192) 2025-06-05T19:05:48.7585910Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [313]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3512272) 2025-06-05T19:05:48.7586170Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [314]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7586410Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [315]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7586660Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [316]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7586950Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [317]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7587240Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [318]: MPSTensor(datatype=1, num_dims=4, dims=[120, 40, 1, 1], constant_buffer_size=9600, segment_offset=3512352) 2025-06-05T19:05:48.7587520Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [319]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7587790Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [320]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3521952) 2025-06-05T19:05:48.7588050Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [321]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3522192) 2025-06-05T19:05:48.7588320Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [322]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3522432) 2025-06-05T19:05:48.7588590Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [323]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3522672) 2025-06-05T19:05:48.7588850Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [324]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7589100Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [325]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7589350Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [326]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7589610Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [327]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7589870Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [328]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7590140Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [329]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7590400Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [330]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7590660Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [331]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7590960Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [332]: MPSTensor(datatype=1, num_dims=4, dims=[120, 1, 5, 5], constant_buffer_size=6000, segment_offset=3522912) 2025-06-05T19:05:48.7591250Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [333]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7591520Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [334]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3528912) 2025-06-05T19:05:48.7591790Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [335]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3529152) 2025-06-05T19:05:48.7592060Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [336]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3529392) 2025-06-05T19:05:48.7592320Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [337]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3529632) 2025-06-05T19:05:48.7592590Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [338]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7592860Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [339]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7593110Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [340]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7593410Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [341]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7593670Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [342]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7593930Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [343]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7594190Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [344]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7594450Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [345]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7594710Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [346]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7594990Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [347]: MPSTensor(datatype=1, num_dims=4, dims=[32, 120, 1, 1], constant_buffer_size=7680, segment_offset=3529872) 2025-06-05T19:05:48.7595250Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [348]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3537552) 2025-06-05T19:05:48.7595510Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [349]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7595780Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [350]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7596050Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [351]: MPSTensor(datatype=1, num_dims=4, dims=[120, 32, 1, 1], constant_buffer_size=7680, segment_offset=3537616) 2025-06-05T19:05:48.7596320Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [352]: MPSTensor(datatype=1, num_dims=1, dims=[120], constant_buffer_size=240, segment_offset=3545296) 2025-06-05T19:05:48.7596580Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [353]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7596860Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [354]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7597140Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [355]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7597410Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [356]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7597670Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [357]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7597930Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [358]: MPSTensor(datatype=2, num_dims=4, dims=[1, 120, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7598220Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [359]: MPSTensor(datatype=1, num_dims=4, dims=[48, 120, 1, 1], constant_buffer_size=11520, segment_offset=3545536) 2025-06-05T19:05:48.7598490Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [360]: MPSTensor(datatype=2, num_dims=4, dims=[1, 48, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7598760Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [361]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3557056) 2025-06-05T19:05:48.7599050Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [362]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3557152) 2025-06-05T19:05:48.7599310Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [363]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3557248) 2025-06-05T19:05:48.7599570Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [364]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3557344) 2025-06-05T19:05:48.7599840Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [365]: MPSTensor(datatype=2, num_dims=4, dims=[1, 48, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7600090Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [366]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7600340Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [367]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7600620Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [368]: MPSTensor(datatype=1, num_dims=4, dims=[144, 48, 1, 1], constant_buffer_size=13824, segment_offset=3557440) 2025-06-05T19:05:48.7600890Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [369]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7601150Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [370]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3571264) 2025-06-05T19:05:48.7601420Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [371]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3571552) 2025-06-05T19:05:48.7601690Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [372]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3571840) 2025-06-05T19:05:48.7601950Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [373]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3572128) 2025-06-05T19:05:48.7602210Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [374]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7602460Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [375]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7602730Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [376]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7603020Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [377]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7603280Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [378]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7603540Z [INFO 2025-06-05 19:05:48,741 mps_preprocess.py:291] [379]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7603800Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [380]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7604060Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [381]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7604380Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [382]: MPSTensor(datatype=1, num_dims=4, dims=[144, 1, 5, 5], constant_buffer_size=7200, segment_offset=3572416) 2025-06-05T19:05:48.7604640Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [383]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7604940Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [384]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3579616) 2025-06-05T19:05:48.7605210Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [385]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3579904) 2025-06-05T19:05:48.7605470Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [386]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3580192) 2025-06-05T19:05:48.7605740Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [387]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3580480) 2025-06-05T19:05:48.7606000Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [388]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7606250Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [389]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7606500Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [390]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7606760Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [391]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7607020Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [392]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7607290Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [393]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7607550Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [394]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7607810Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [395]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7608070Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [396]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7608340Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [397]: MPSTensor(datatype=1, num_dims=4, dims=[40, 144, 1, 1], constant_buffer_size=11520, segment_offset=3580768) 2025-06-05T19:05:48.7608670Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [398]: MPSTensor(datatype=1, num_dims=1, dims=[40], constant_buffer_size=80, segment_offset=3592288) 2025-06-05T19:05:48.7608940Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [399]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7609190Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [400]: MPSTensor(datatype=2, num_dims=4, dims=[1, 40, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7609470Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [401]: MPSTensor(datatype=1, num_dims=4, dims=[144, 40, 1, 1], constant_buffer_size=11520, segment_offset=3592368) 2025-06-05T19:05:48.7609740Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [402]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=3603888) 2025-06-05T19:05:48.7610000Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [403]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7610290Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [404]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7610550Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [405]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7610830Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [406]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7611080Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [407]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7611350Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [408]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7611630Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [409]: MPSTensor(datatype=1, num_dims=4, dims=[48, 144, 1, 1], constant_buffer_size=13824, segment_offset=3604176) 2025-06-05T19:05:48.7611890Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [410]: MPSTensor(datatype=2, num_dims=4, dims=[1, 48, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7612160Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [411]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3618000) 2025-06-05T19:05:48.7612420Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [412]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3618096) 2025-06-05T19:05:48.7612680Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [413]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3618192) 2025-06-05T19:05:48.7612940Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [414]: MPSTensor(datatype=1, num_dims=1, dims=[48], constant_buffer_size=96, segment_offset=3618288) 2025-06-05T19:05:48.7613200Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [415]: MPSTensor(datatype=2, num_dims=4, dims=[1, 48, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7613450Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [416]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7613700Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [417]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7613960Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [418]: MPSTensor(datatype=2, num_dims=4, dims=[1, 48, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7614260Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [419]: MPSTensor(datatype=1, num_dims=4, dims=[288, 48, 1, 1], constant_buffer_size=27648, segment_offset=3618384) 2025-06-05T19:05:48.7614550Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [420]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7614820Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [421]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3646032) 2025-06-05T19:05:48.7615090Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [422]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3646608) 2025-06-05T19:05:48.7615360Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [423]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3647184) 2025-06-05T19:05:48.7615620Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [424]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3647760) 2025-06-05T19:05:48.7615910Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [425]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7616170Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [426]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7616450Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [427]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7616720Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [428]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7616980Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [429]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7617240Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [430]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7617510Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [431]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7617770Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [432]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7618050Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [433]: MPSTensor(datatype=1, num_dims=4, dims=[288, 1, 5, 5], constant_buffer_size=14400, segment_offset=3648336) 2025-06-05T19:05:48.7618310Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [434]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7618580Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [435]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3662736) 2025-06-05T19:05:48.7618850Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [436]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3663312) 2025-06-05T19:05:48.7619110Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [437]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3663888) 2025-06-05T19:05:48.7619380Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [438]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3664464) 2025-06-05T19:05:48.7619640Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [439]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7619890Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [440]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7620190Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [441]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7620480Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [442]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7620750Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [443]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7621010Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [444]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7621270Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [445]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7621530Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [446]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7621820Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [447]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7622100Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [448]: MPSTensor(datatype=1, num_dims=4, dims=[72, 288, 1, 1], constant_buffer_size=41472, segment_offset=3665040) 2025-06-05T19:05:48.7622400Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [449]: MPSTensor(datatype=1, num_dims=1, dims=[72], constant_buffer_size=144, segment_offset=3706512) 2025-06-05T19:05:48.7622660Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [450]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7622920Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [451]: MPSTensor(datatype=2, num_dims=4, dims=[1, 72, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7623200Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [452]: MPSTensor(datatype=1, num_dims=4, dims=[288, 72, 1, 1], constant_buffer_size=41472, segment_offset=3706656) 2025-06-05T19:05:48.7623480Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [453]: MPSTensor(datatype=1, num_dims=1, dims=[288], constant_buffer_size=576, segment_offset=3748128) 2025-06-05T19:05:48.7623740Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [454]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7624010Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [455]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7624270Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [456]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7624530Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [457]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7624790Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [458]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7625050Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [459]: MPSTensor(datatype=2, num_dims=4, dims=[1, 288, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7625330Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [460]: MPSTensor(datatype=1, num_dims=4, dims=[96, 288, 1, 1], constant_buffer_size=55296, segment_offset=3748704) 2025-06-05T19:05:48.7625580Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [461]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7625850Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [462]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3804000) 2025-06-05T19:05:48.7626160Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [463]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3804192) 2025-06-05T19:05:48.7626430Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [464]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3804384) 2025-06-05T19:05:48.7626700Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [465]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3804576) 2025-06-05T19:05:48.7626950Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [466]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7627200Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [467]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7627450Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [468]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7627780Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [469]: MPSTensor(datatype=1, num_dims=4, dims=[576, 96, 1, 1], constant_buffer_size=110592, segment_offset=3804768) 2025-06-05T19:05:48.7628050Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [470]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7628350Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [471]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3915360) 2025-06-05T19:05:48.7628620Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [472]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3916512) 2025-06-05T19:05:48.7628880Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [473]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3917664) 2025-06-05T19:05:48.7629160Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [474]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3918816) 2025-06-05T19:05:48.7629410Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [475]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7629670Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [476]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7629920Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [477]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7630180Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [478]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7630440Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [479]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7630700Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [480]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7630960Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [481]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7631220Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [482]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7631490Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [483]: MPSTensor(datatype=1, num_dims=4, dims=[576, 1, 5, 5], constant_buffer_size=28800, segment_offset=3919968) 2025-06-05T19:05:48.7631790Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [484]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7632100Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [485]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3948768) 2025-06-05T19:05:48.7632360Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [486]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3949920) 2025-06-05T19:05:48.7632630Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [487]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3951072) 2025-06-05T19:05:48.7632910Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [488]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=3952224) 2025-06-05T19:05:48.7633170Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [489]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7633420Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [490]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7633690Z [INFO 2025-06-05 19:05:48,742 mps_preprocess.py:291] [491]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7633960Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [492]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7634240Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [493]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7634500Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [494]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7634750Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [495]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7635020Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [496]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7635270Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [497]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7635560Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [498]: MPSTensor(datatype=1, num_dims=4, dims=[144, 576, 1, 1], constant_buffer_size=165888, segment_offset=3953376) 2025-06-05T19:05:48.7635830Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [499]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=4119264) 2025-06-05T19:05:48.7636080Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [500]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7636340Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [501]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7636630Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [502]: MPSTensor(datatype=1, num_dims=4, dims=[576, 144, 1, 1], constant_buffer_size=165888, segment_offset=4119552) 2025-06-05T19:05:48.7636910Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [503]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4285440) 2025-06-05T19:05:48.7637170Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [504]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7637430Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [505]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7637710Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [506]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7637990Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [507]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7638250Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [508]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7638510Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [509]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7638790Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [510]: MPSTensor(datatype=1, num_dims=4, dims=[96, 576, 1, 1], constant_buffer_size=110592, segment_offset=4286592) 2025-06-05T19:05:48.7639050Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [511]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7639340Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [512]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4397184) 2025-06-05T19:05:48.7639610Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [513]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4397376) 2025-06-05T19:05:48.7639910Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [514]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4397568) 2025-06-05T19:05:48.7640170Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [515]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4397760) 2025-06-05T19:05:48.7640430Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [516]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7640680Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [517]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7640930Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [518]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7641190Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [519]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7641480Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [520]: MPSTensor(datatype=1, num_dims=4, dims=[576, 96, 1, 1], constant_buffer_size=110592, segment_offset=4397952) 2025-06-05T19:05:48.7641730Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [521]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7642010Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [522]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4508544) 2025-06-05T19:05:48.7642270Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [523]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4509696) 2025-06-05T19:05:48.7642540Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [524]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4510848) 2025-06-05T19:05:48.7642810Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [525]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4512000) 2025-06-05T19:05:48.7643060Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [526]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7643320Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [527]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7643600Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [528]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7643890Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [529]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7644150Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [530]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7644420Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [531]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7644680Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [532]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7644940Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [533]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7645250Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [534]: MPSTensor(datatype=1, num_dims=4, dims=[576, 1, 5, 5], constant_buffer_size=28800, segment_offset=4513152) 2025-06-05T19:05:48.7645510Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [535]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7645810Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [536]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4541952) 2025-06-05T19:05:48.7646080Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [537]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4543104) 2025-06-05T19:05:48.7646350Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [538]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4544256) 2025-06-05T19:05:48.7646620Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [539]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4545408) 2025-06-05T19:05:48.7646880Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [540]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7647140Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [541]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7647390Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [542]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7647640Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [543]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7647910Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [544]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7648170Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [545]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7648420Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [546]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7648680Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [547]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7648940Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [548]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7649230Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [549]: MPSTensor(datatype=1, num_dims=4, dims=[144, 576, 1, 1], constant_buffer_size=165888, segment_offset=4546560) 2025-06-05T19:05:48.7649540Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [550]: MPSTensor(datatype=1, num_dims=1, dims=[144], constant_buffer_size=288, segment_offset=4712448) 2025-06-05T19:05:48.7649800Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [551]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7650060Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [552]: MPSTensor(datatype=2, num_dims=4, dims=[1, 144, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7650350Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [553]: MPSTensor(datatype=1, num_dims=4, dims=[576, 144, 1, 1], constant_buffer_size=165888, segment_offset=4712736) 2025-06-05T19:05:48.7650620Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [554]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=4878624) 2025-06-05T19:05:48.7650870Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [555]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7651170Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [556]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7651430Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [557]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7651710Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [558]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7651970Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [559]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7652230Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [560]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7652510Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [561]: MPSTensor(datatype=1, num_dims=4, dims=[96, 576, 1, 1], constant_buffer_size=110592, segment_offset=4879776) 2025-06-05T19:05:48.7652770Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [562]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7653040Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [563]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4990368) 2025-06-05T19:05:48.7653300Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [564]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4990560) 2025-06-05T19:05:48.7653570Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [565]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4990752) 2025-06-05T19:05:48.7653830Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [566]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4990944) 2025-06-05T19:05:48.7654090Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [567]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7654340Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [568]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7654590Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [569]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7654840Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [570]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7655340Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [571]: MPSTensor(datatype=1, num_dims=4, dims=[576, 96, 1, 1], constant_buffer_size=110592, segment_offset=4991136) 2025-06-05T19:05:48.7655650Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [572]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7655910Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [573]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=5101728) 2025-06-05T19:05:48.7656180Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [574]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=5102880) 2025-06-05T19:05:48.7656450Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [575]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=5104032) 2025-06-05T19:05:48.7656710Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [576]: MPSTensor(datatype=1, num_dims=1, dims=[576], constant_buffer_size=1152, segment_offset=5105184) 2025-06-05T19:05:48.7657010Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [577]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7657270Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [578]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7657540Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [579]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7657800Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [580]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7658060Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [581]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7658320Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [582]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7658580Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [583]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7658830Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [584]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7659090Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [585]: MPSTensor(datatype=2, num_dims=4, dims=[1, 576, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7659350Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [586]: MPSTensor(datatype=2, num_dims=2, dims=[1, 576], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7659620Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [587]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=5106336) 2025-06-05T19:05:48.7659880Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [588]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7660130Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [589]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7660390Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [590]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7660640Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [591]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7660900Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [592]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7661200Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [593]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1024], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7661510Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [594]: MPSTensor(datatype=1, num_dims=1, dims=[1000], constant_buffer_size=2000, segment_offset=5108384) 2025-06-05T19:05:48.7661760Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:291] [595]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:05:48.7661860Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:292] Input ids: 2025-06-05T19:05:48.7661960Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:294] 0 2025-06-05T19:05:48.7662060Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:295] Constant ids: 2025-06-05T19:05:48.7662150Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:297] 1 2025-06-05T19:05:48.7662230Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:297] 3 2025-06-05T19:05:48.7662320Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:297] 5 2025-06-05T19:05:48.7662400Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:297] 7 2025-06-05T19:05:48.7662490Z [INFO 2025-06-05 19:05:48,743 mps_preprocess.py:297] 8 2025-06-05T19:05:48.7662620Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 9 2025-06-05T19:05:48.7662710Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 10 2025-06-05T19:05:48.7662790Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 11 2025-06-05T19:05:48.7662920Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 12 2025-06-05T19:05:48.7663010Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 13 2025-06-05T19:05:48.7663090Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 14 2025-06-05T19:05:48.7663170Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 15 2025-06-05T19:05:48.7663260Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 16 2025-06-05T19:05:48.7663340Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 17 2025-06-05T19:05:48.7663430Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 18 2025-06-05T19:05:48.7663510Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 19 2025-06-05T19:05:48.7663600Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 20 2025-06-05T19:05:48.7663690Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 21 2025-06-05T19:05:48.7663780Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 22 2025-06-05T19:05:48.7663860Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 23 2025-06-05T19:05:48.7663950Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 24 2025-06-05T19:05:48.7664030Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 25 2025-06-05T19:05:48.7664110Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 26 2025-06-05T19:05:48.7664200Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 27 2025-06-05T19:05:48.7664280Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 28 2025-06-05T19:05:48.7664370Z [INFO 2025-06-05 19:05:48,744 mps_preprocess.py:297] 29 2025-06-05T19:05:48.7664450Z [INFO 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2025-06-05T19:06:19.2445020Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 565 2025-06-05T19:06:19.2445270Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 566 2025-06-05T19:06:19.2445520Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 571 2025-06-05T19:06:19.2445770Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 573 2025-06-05T19:06:19.2446010Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 574 2025-06-05T19:06:19.2446260Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 575 2025-06-05T19:06:19.2446510Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 576 2025-06-05T19:06:19.2446760Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 587 2025-06-05T19:06:19.2447010Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:297] 594 2025-06-05T19:06:19.2447270Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:298] Output ids: 2025-06-05T19:06:19.2447540Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:300] 595 2025-06-05T19:06:19.2447920Z [INFO 2025-06-05 19:05:48,746 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:06:19.2448310Z [INFO 2025-06-05 19:05:48,874 mps_example.py:185] Lowered graph: 2025-06-05T19:06:19.2448520Z graph(): 2025-06-05T19:06:19.2448660Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:06:19.2448920Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:06:19.2449440Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2025-06-05T19:06:19.2450080Z %getitem_34 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:06:19.2450420Z return (getitem_34,) 2025-06-05T19:06:19.2450710Z [DEBUG 2025-06-05 19:05:49,055 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:06:19.2451230Z [DEBUG 2025-06-05 19:05:49,056 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:06:19.2451780Z [DEBUG 2025-06-05 19:05:49,056 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 606112] 2025-06-05T19:06:19.2452220Z [DEBUG 2025-06-05 19:05:49,056 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:06:19.2452890Z [DEBUG 2025-06-05 19:05:49,056 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:06:19.2453570Z [INFO 2025-06-05 19:05:52,266 utils.py:141] Saved exported program to mv3_mps_float16.pte 2025-06-05T19:06:19.2453800Z 2025-06-05T19:06:19.2453880Z ++ find . -type f -name 'mv3*.pte' -print -quit 2025-06-05T19:06:19.2454090Z + EXPORTED_MODEL=./mv3_mps_float16.pte 2025-06-05T19:06:19.2454270Z + [[ 0 -eq 0 ]] 2025-06-05T19:06:19.2454400Z + prepare_artifacts_upload 2025-06-05T19:06:19.2454540Z + '[' -n '' ']' 2025-06-05T19:06:19.2454860Z ##[endgroup] 2025-06-05T19:06:19.2455100Z ##[group]Exporting coreml model: ic4 2025-06-05T19:06:19.2455290Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:06:19.2455460Z + source .ci/scripts/utils.sh 2025-06-05T19:06:19.2455610Z + MODEL_NAME=ic4 2025-06-05T19:06:19.2455720Z + [[ -z ic4 ]] 2025-06-05T19:06:19.2455830Z + BUILD_TOOL=cmake 2025-06-05T19:06:19.2455960Z + [[ -z cmake ]] 2025-06-05T19:06:19.2456070Z + BACKEND=coreml 2025-06-05T19:06:19.2456180Z + [[ -z coreml ]] 2025-06-05T19:06:19.2456290Z + UPLOAD_DIR= 2025-06-05T19:06:19.2456400Z + [[ -z python ]] 2025-06-05T19:06:19.2456510Z + which python 2025-06-05T19:06:19.2456720Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:06:19.2456980Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:06:19.2457130Z + EXPORTED_MODEL=ic4 2025-06-05T19:06:19.2457260Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:06:19.2457420Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:06:19.2457560Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:06:19.2457720Z + echo 'Testing ic4 with coreml...' 2025-06-05T19:06:19.2457890Z Testing ic4 with coreml... 2025-06-05T19:06:19.2458030Z + should_test_coreml=false 2025-06-05T19:06:19.2458180Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:06:19.2458330Z + test_model_with_coreml false 2025-06-05T19:06:19.2458470Z + local should_test=false 2025-06-05T19:06:19.2458610Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:06:19.2458750Z + DTYPE=float16 2025-06-05T19:06:19.2459060Z + python -m examples.apple.coreml.scripts.export --model_name=ic4 --compute_precision float16 --use_partitioner 2025-06-05T19:06:19.2459690Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:06:19.2460460Z W0605 19:05:54.952000 11968 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:06:19.2461280Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:06:19.2461740Z 2025-06-05T19:06:19.2461890Z Converting PyTorch Frontend ==> MIL Ops: 0%| | 0/648 [00:00 MIL Ops: 64%|██████▎ | 413/648 [00:00<00:00, 4127.55 ops/s] 2025-06-05T19:06:19.2462870Z Converting PyTorch Frontend ==> MIL Ops: 100%|█████████▉| 647/648 [00:00<00:00, 4183.99 ops/s] 2025-06-05T19:06:19.2463080Z 2025-06-05T19:06:19.2463230Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00: schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (x, p_features_0_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7753740Z call_function aten_permute_copy_default : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_last_linear_weight, [1, 0]) {} 2025-06-05T19:06:23.7754790Z call_function aten__native_batch_norm_legit_no_training_default : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default, p_features_0_bn_weight, p_features_0_bn_bias, b_features_0_bn_running_mean, b_features_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7755240Z call_function getitem (aten__native_batch_norm_legit_no_training_default, 0) {} 2025-06-05T19:06:23.7755650Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (getitem,) {} 2025-06-05T19:06:23.7756540Z call_function aten_convolution_default_1 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default, p_features_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7757660Z call_function aten__native_batch_norm_legit_no_training_default_1 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_1, p_features_1_bn_weight, p_features_1_bn_bias, b_features_1_bn_running_mean, b_features_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7758040Z call_function getitem_1 (aten__native_batch_norm_legit_no_training_default_1, 0) {} 2025-06-05T19:06:23.7758460Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (getitem_1,) {} 2025-06-05T19:06:23.7759300Z call_function aten_convolution_default_2 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_1, p_features_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7760400Z call_function aten__native_batch_norm_legit_no_training_default_2 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_2, p_features_2_bn_weight, p_features_2_bn_bias, b_features_2_bn_running_mean, b_features_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7760780Z call_function getitem_2 (aten__native_batch_norm_legit_no_training_default_2, 0) {} 2025-06-05T19:06:23.7761200Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (getitem_2,) {} 2025-06-05T19:06:23.7761980Z call_function aten_max_pool2d_with_indices_default : schema = aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) (aten_relu_default_2, [3, 3], [2, 2]) {} 2025-06-05T19:06:23.7762880Z call_function aten_convolution_default_3 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_2, p_features_3_conv_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7763240Z call_function getitem_3 (aten_max_pool2d_with_indices_default, 0) {} 2025-06-05T19:06:23.7764310Z call_function aten__native_batch_norm_legit_no_training_default_3 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_3, p_features_3_conv_bn_weight, p_features_3_conv_bn_bias, b_features_3_conv_bn_running_mean, b_features_3_conv_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7764750Z call_function getitem_4 (aten__native_batch_norm_legit_no_training_default_3, 0) {} 2025-06-05T19:06:23.7765160Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (getitem_4,) {} 2025-06-05T19:06:23.7765630Z call_function aten_cat_default : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([getitem_3, aten_relu_default_3], 1) {} 2025-06-05T19:06:23.7766580Z call_function aten_convolution_default_4 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default, p_features_4_branch0_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7767480Z call_function aten_convolution_default_5 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default, p_features_4_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7768570Z call_function aten__native_batch_norm_legit_no_training_default_4 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_4, p_features_4_branch0_0_bn_weight, p_features_4_branch0_0_bn_bias, b_features_4_branch0_0_bn_running_mean, b_features_4_branch0_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7769650Z call_function aten__native_batch_norm_legit_no_training_default_5 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_5, p_features_4_branch1_0_bn_weight, p_features_4_branch1_0_bn_bias, b_features_4_branch1_0_bn_running_mean, b_features_4_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7770030Z call_function getitem_5 (aten__native_batch_norm_legit_no_training_default_4, 0) {} 2025-06-05T19:06:23.7770450Z call_function getitem_6 (aten__native_batch_norm_legit_no_training_default_5, 0) {} 2025-06-05T19:06:23.7770860Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (getitem_5,) {} 2025-06-05T19:06:23.7771320Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (getitem_6,) {} 2025-06-05T19:06:23.7772260Z call_function aten_convolution_default_6 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_4, p_features_4_branch0_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7773120Z call_function aten_convolution_default_7 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_5, p_features_4_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7774210Z call_function aten__native_batch_norm_legit_no_training_default_6 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_6, p_features_4_branch0_1_bn_weight, p_features_4_branch0_1_bn_bias, b_features_4_branch0_1_bn_running_mean, b_features_4_branch0_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7775290Z call_function aten__native_batch_norm_legit_no_training_default_7 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_7, p_features_4_branch1_1_bn_weight, p_features_4_branch1_1_bn_bias, b_features_4_branch1_1_bn_running_mean, b_features_4_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7775730Z call_function getitem_7 (aten__native_batch_norm_legit_no_training_default_6, 0) {} 2025-06-05T19:06:23.7776110Z call_function getitem_8 (aten__native_batch_norm_legit_no_training_default_7, 0) {} 2025-06-05T19:06:23.7776520Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (getitem_7,) {} 2025-06-05T19:06:23.7776990Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (getitem_8,) {} 2025-06-05T19:06:23.7777900Z call_function aten_convolution_default_8 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_7, p_features_4_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7778980Z call_function aten__native_batch_norm_legit_no_training_default_8 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_8, p_features_4_branch1_2_bn_weight, p_features_4_branch1_2_bn_bias, b_features_4_branch1_2_bn_running_mean, b_features_4_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7779350Z call_function getitem_9 (aten__native_batch_norm_legit_no_training_default_8, 0) {} 2025-06-05T19:06:23.7779810Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (getitem_9,) {} 2025-06-05T19:06:23.7780670Z call_function aten_convolution_default_9 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_8, p_features_4_branch1_3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7781750Z call_function aten__native_batch_norm_legit_no_training_default_9 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_9, p_features_4_branch1_3_bn_weight, p_features_4_branch1_3_bn_bias, b_features_4_branch1_3_bn_running_mean, b_features_4_branch1_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7782210Z call_function getitem_10 (aten__native_batch_norm_legit_no_training_default_9, 0) {} 2025-06-05T19:06:23.7782660Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (getitem_10,) {} 2025-06-05T19:06:23.7783160Z call_function aten_cat_default_1 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_6, aten_relu_default_9], 1) {} 2025-06-05T19:06:23.7784010Z call_function aten_convolution_default_10 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_1, p_features_5_conv_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7784730Z call_function aten_max_pool2d_with_indices_default_1 : schema = aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) (aten_cat_default_1, [3, 3], [2, 2]) {} 2025-06-05T19:06:23.7785860Z call_function aten__native_batch_norm_legit_no_training_default_10 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_10, p_features_5_conv_bn_weight, p_features_5_conv_bn_bias, b_features_5_conv_bn_running_mean, b_features_5_conv_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7786220Z call_function getitem_11 (aten_max_pool2d_with_indices_default_1, 0) {} 2025-06-05T19:06:23.7786660Z call_function getitem_12 (aten__native_batch_norm_legit_no_training_default_10, 0) {} 2025-06-05T19:06:23.7787150Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (getitem_12,) {} 2025-06-05T19:06:23.7787620Z call_function aten_cat_default_2 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_10, getitem_11], 1) {} 2025-06-05T19:06:23.7788480Z call_function aten_convolution_default_11 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_2, p_features_6_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7789330Z call_function aten_convolution_default_12 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_2, p_features_6_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7790230Z call_function aten_convolution_default_13 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_2, p_features_6_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7790970Z call_function aten_avg_pool2d_default : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_2, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7792090Z call_function aten__native_batch_norm_legit_no_training_default_11 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_11, p_features_6_branch0_bn_weight, p_features_6_branch0_bn_bias, b_features_6_branch0_bn_running_mean, b_features_6_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7793260Z call_function aten__native_batch_norm_legit_no_training_default_12 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_12, p_features_6_branch1_0_bn_weight, p_features_6_branch1_0_bn_bias, b_features_6_branch1_0_bn_running_mean, b_features_6_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7794390Z call_function aten__native_batch_norm_legit_no_training_default_13 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_13, p_features_6_branch2_0_bn_weight, p_features_6_branch2_0_bn_bias, b_features_6_branch2_0_bn_running_mean, b_features_6_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7795270Z call_function aten_convolution_default_14 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default, p_features_6_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7795640Z call_function getitem_13 (aten__native_batch_norm_legit_no_training_default_11, 0) {} 2025-06-05T19:06:23.7796080Z call_function getitem_14 (aten__native_batch_norm_legit_no_training_default_12, 0) {} 2025-06-05T19:06:23.7796460Z call_function getitem_15 (aten__native_batch_norm_legit_no_training_default_13, 0) {} 2025-06-05T19:06:23.7797540Z call_function aten__native_batch_norm_legit_no_training_default_14 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_14, p_features_6_branch3_1_bn_weight, p_features_6_branch3_1_bn_bias, b_features_6_branch3_1_bn_running_mean, b_features_6_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7798040Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (getitem_13,) {} 2025-06-05T19:06:23.7798500Z call_function aten_relu_default_12 : schema = aten::relu(Tensor self) -> Tensor (getitem_14,) {} 2025-06-05T19:06:23.7798910Z call_function aten_relu_default_13 : schema = aten::relu(Tensor self) -> Tensor (getitem_15,) {} 2025-06-05T19:06:23.7799290Z call_function getitem_16 (aten__native_batch_norm_legit_no_training_default_14, 0) {} 2025-06-05T19:06:23.7800160Z call_function aten_convolution_default_15 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_12, p_features_6_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7801070Z call_function aten_convolution_default_16 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_13, p_features_6_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7801490Z call_function aten_relu_default_14 : schema = aten::relu(Tensor self) -> Tensor (getitem_16,) {} 2025-06-05T19:06:23.7802640Z call_function aten__native_batch_norm_legit_no_training_default_15 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_15, p_features_6_branch1_1_bn_weight, p_features_6_branch1_1_bn_bias, b_features_6_branch1_1_bn_running_mean, b_features_6_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7803780Z call_function aten__native_batch_norm_legit_no_training_default_16 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_16, p_features_6_branch2_1_bn_weight, p_features_6_branch2_1_bn_bias, b_features_6_branch2_1_bn_running_mean, b_features_6_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7804160Z call_function getitem_17 (aten__native_batch_norm_legit_no_training_default_15, 0) {} 2025-06-05T19:06:23.7804530Z call_function getitem_18 (aten__native_batch_norm_legit_no_training_default_16, 0) {} 2025-06-05T19:06:23.7804940Z call_function aten_relu_default_15 : schema = aten::relu(Tensor self) -> Tensor (getitem_17,) {} 2025-06-05T19:06:23.7805400Z call_function aten_relu_default_16 : schema = aten::relu(Tensor self) -> Tensor (getitem_18,) {} 2025-06-05T19:06:23.7806260Z call_function aten_convolution_default_17 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_16, p_features_6_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7807410Z call_function aten__native_batch_norm_legit_no_training_default_17 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_17, p_features_6_branch2_2_bn_weight, p_features_6_branch2_2_bn_bias, b_features_6_branch2_2_bn_running_mean, b_features_6_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7807880Z call_function getitem_19 (aten__native_batch_norm_legit_no_training_default_17, 0) {} 2025-06-05T19:06:23.7808290Z call_function aten_relu_default_17 : schema = aten::relu(Tensor self) -> Tensor (getitem_19,) {} 2025-06-05T19:06:23.7808850Z call_function aten_cat_default_3 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_11, aten_relu_default_15, aten_relu_default_17, aten_relu_default_14], 1) {} 2025-06-05T19:06:23.7809710Z call_function aten_convolution_default_18 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_3, p_features_7_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7810610Z call_function aten_convolution_default_19 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_3, p_features_7_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7811460Z call_function aten_convolution_default_20 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_3, p_features_7_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7812190Z call_function aten_avg_pool2d_default_1 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_3, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7813360Z call_function aten__native_batch_norm_legit_no_training_default_18 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_18, p_features_7_branch0_bn_weight, p_features_7_branch0_bn_bias, b_features_7_branch0_bn_running_mean, b_features_7_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7814490Z call_function aten__native_batch_norm_legit_no_training_default_19 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_19, p_features_7_branch1_0_bn_weight, p_features_7_branch1_0_bn_bias, b_features_7_branch1_0_bn_running_mean, b_features_7_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7815560Z call_function aten__native_batch_norm_legit_no_training_default_20 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_20, p_features_7_branch2_0_bn_weight, p_features_7_branch2_0_bn_bias, b_features_7_branch2_0_bn_running_mean, b_features_7_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7816440Z call_function aten_convolution_default_21 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_1, p_features_7_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7816820Z call_function getitem_20 (aten__native_batch_norm_legit_no_training_default_18, 0) {} 2025-06-05T19:06:23.7817250Z call_function getitem_21 (aten__native_batch_norm_legit_no_training_default_19, 0) {} 2025-06-05T19:06:23.7817630Z call_function getitem_22 (aten__native_batch_norm_legit_no_training_default_20, 0) {} 2025-06-05T19:06:23.7818790Z call_function aten__native_batch_norm_legit_no_training_default_21 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_21, p_features_7_branch3_1_bn_weight, p_features_7_branch3_1_bn_bias, b_features_7_branch3_1_bn_running_mean, b_features_7_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7819250Z call_function aten_relu_default_18 : schema = aten::relu(Tensor self) -> Tensor (getitem_20,) {} 2025-06-05T19:06:23.7819660Z call_function aten_relu_default_19 : schema = aten::relu(Tensor self) -> Tensor (getitem_21,) {} 2025-06-05T19:06:23.7820070Z call_function aten_relu_default_20 : schema = aten::relu(Tensor self) -> Tensor (getitem_22,) {} 2025-06-05T19:06:23.7820440Z call_function getitem_23 (aten__native_batch_norm_legit_no_training_default_21, 0) {} 2025-06-05T19:06:23.7821350Z call_function aten_convolution_default_22 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_19, p_features_7_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7822210Z call_function aten_convolution_default_23 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_20, p_features_7_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7822670Z call_function aten_relu_default_21 : schema = aten::relu(Tensor self) -> Tensor (getitem_23,) {} 2025-06-05T19:06:23.7823810Z call_function aten__native_batch_norm_legit_no_training_default_22 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_22, p_features_7_branch1_1_bn_weight, p_features_7_branch1_1_bn_bias, b_features_7_branch1_1_bn_running_mean, b_features_7_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7824890Z call_function aten__native_batch_norm_legit_no_training_default_23 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_23, p_features_7_branch2_1_bn_weight, p_features_7_branch2_1_bn_bias, b_features_7_branch2_1_bn_running_mean, b_features_7_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7825270Z call_function getitem_24 (aten__native_batch_norm_legit_no_training_default_22, 0) {} 2025-06-05T19:06:23.7825650Z call_function getitem_25 (aten__native_batch_norm_legit_no_training_default_23, 0) {} 2025-06-05T19:06:23.7826100Z call_function aten_relu_default_22 : schema = aten::relu(Tensor self) -> Tensor (getitem_24,) {} 2025-06-05T19:06:23.7826510Z call_function aten_relu_default_23 : schema = aten::relu(Tensor self) -> Tensor (getitem_25,) {} 2025-06-05T19:06:23.7827370Z call_function aten_convolution_default_24 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_23, p_features_7_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7828550Z call_function aten__native_batch_norm_legit_no_training_default_24 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_24, p_features_7_branch2_2_bn_weight, p_features_7_branch2_2_bn_bias, b_features_7_branch2_2_bn_running_mean, b_features_7_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7828980Z call_function getitem_26 (aten__native_batch_norm_legit_no_training_default_24, 0) {} 2025-06-05T19:06:23.7829400Z call_function aten_relu_default_24 : schema = aten::relu(Tensor self) -> Tensor (getitem_26,) {} 2025-06-05T19:06:23.7829960Z call_function aten_cat_default_4 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_18, aten_relu_default_22, aten_relu_default_24, aten_relu_default_21], 1) {} 2025-06-05T19:06:23.7830850Z call_function aten_convolution_default_25 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_4, p_features_8_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7831710Z call_function aten_convolution_default_26 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_4, p_features_8_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7832560Z call_function aten_convolution_default_27 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_4, p_features_8_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7833370Z call_function aten_avg_pool2d_default_2 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_4, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7834500Z call_function aten__native_batch_norm_legit_no_training_default_25 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_25, p_features_8_branch0_bn_weight, p_features_8_branch0_bn_bias, b_features_8_branch0_bn_running_mean, b_features_8_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7835580Z call_function aten__native_batch_norm_legit_no_training_default_26 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_26, p_features_8_branch1_0_bn_weight, p_features_8_branch1_0_bn_bias, b_features_8_branch1_0_bn_running_mean, b_features_8_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7836660Z call_function aten__native_batch_norm_legit_no_training_default_27 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_27, p_features_8_branch2_0_bn_weight, p_features_8_branch2_0_bn_bias, b_features_8_branch2_0_bn_running_mean, b_features_8_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7837530Z call_function aten_convolution_default_28 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_2, p_features_8_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7837970Z call_function getitem_27 (aten__native_batch_norm_legit_no_training_default_25, 0) {} 2025-06-05T19:06:23.7838350Z call_function getitem_28 (aten__native_batch_norm_legit_no_training_default_26, 0) {} 2025-06-05T19:06:23.7838780Z call_function getitem_29 (aten__native_batch_norm_legit_no_training_default_27, 0) {} 2025-06-05T19:06:23.7839930Z call_function aten__native_batch_norm_legit_no_training_default_28 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_28, p_features_8_branch3_1_bn_weight, p_features_8_branch3_1_bn_bias, b_features_8_branch3_1_bn_running_mean, b_features_8_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7840350Z call_function aten_relu_default_25 : schema = aten::relu(Tensor self) -> Tensor (getitem_27,) {} 2025-06-05T19:06:23.7840760Z call_function aten_relu_default_26 : schema = aten::relu(Tensor self) -> Tensor (getitem_28,) {} 2025-06-05T19:06:23.7841170Z call_function aten_relu_default_27 : schema = aten::relu(Tensor self) -> Tensor (getitem_29,) {} 2025-06-05T19:06:23.7841590Z call_function getitem_30 (aten__native_batch_norm_legit_no_training_default_28, 0) {} 2025-06-05T19:06:23.7842450Z call_function aten_convolution_default_29 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_26, p_features_8_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7843310Z call_function aten_convolution_default_30 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_27, p_features_8_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7843780Z call_function aten_relu_default_28 : schema = aten::relu(Tensor self) -> Tensor (getitem_30,) {} 2025-06-05T19:06:23.7844910Z call_function aten__native_batch_norm_legit_no_training_default_29 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_29, p_features_8_branch1_1_bn_weight, p_features_8_branch1_1_bn_bias, b_features_8_branch1_1_bn_running_mean, b_features_8_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7845990Z call_function aten__native_batch_norm_legit_no_training_default_30 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_30, p_features_8_branch2_1_bn_weight, p_features_8_branch2_1_bn_bias, b_features_8_branch2_1_bn_running_mean, b_features_8_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7846370Z call_function getitem_31 (aten__native_batch_norm_legit_no_training_default_29, 0) {} 2025-06-05T19:06:23.7846790Z call_function getitem_32 (aten__native_batch_norm_legit_no_training_default_30, 0) {} 2025-06-05T19:06:23.7847210Z call_function aten_relu_default_29 : schema = aten::relu(Tensor self) -> Tensor (getitem_31,) {} 2025-06-05T19:06:23.7847620Z call_function aten_relu_default_30 : schema = aten::relu(Tensor self) -> Tensor (getitem_32,) {} 2025-06-05T19:06:23.7848570Z call_function aten_convolution_default_31 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_30, p_features_8_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7849710Z call_function aten__native_batch_norm_legit_no_training_default_31 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_31, p_features_8_branch2_2_bn_weight, p_features_8_branch2_2_bn_bias, b_features_8_branch2_2_bn_running_mean, b_features_8_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7850090Z call_function getitem_33 (aten__native_batch_norm_legit_no_training_default_31, 0) {} 2025-06-05T19:06:23.7850510Z call_function aten_relu_default_31 : schema = aten::relu(Tensor self) -> Tensor (getitem_33,) {} 2025-06-05T19:06:23.7851070Z call_function aten_cat_default_5 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_25, aten_relu_default_29, aten_relu_default_31, aten_relu_default_28], 1) {} 2025-06-05T19:06:23.7851970Z call_function aten_convolution_default_32 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_5, p_features_9_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7852840Z call_function aten_convolution_default_33 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_5, p_features_9_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7853780Z call_function aten_convolution_default_34 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_5, p_features_9_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7854630Z call_function aten_avg_pool2d_default_3 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_5, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7855780Z call_function aten__native_batch_norm_legit_no_training_default_32 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_32, p_features_9_branch0_bn_weight, p_features_9_branch0_bn_bias, b_features_9_branch0_bn_running_mean, b_features_9_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7856910Z call_function aten__native_batch_norm_legit_no_training_default_33 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_33, p_features_9_branch1_0_bn_weight, p_features_9_branch1_0_bn_bias, b_features_9_branch1_0_bn_running_mean, b_features_9_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7858020Z call_function aten__native_batch_norm_legit_no_training_default_34 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_34, p_features_9_branch2_0_bn_weight, p_features_9_branch2_0_bn_bias, b_features_9_branch2_0_bn_running_mean, b_features_9_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7859000Z call_function aten_convolution_default_35 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_3, p_features_9_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7859400Z call_function getitem_34 (aten__native_batch_norm_legit_no_training_default_32, 0) {} 2025-06-05T19:06:23.7859840Z call_function getitem_35 (aten__native_batch_norm_legit_no_training_default_33, 0) {} 2025-06-05T19:06:23.7860300Z call_function getitem_36 (aten__native_batch_norm_legit_no_training_default_34, 0) {} 2025-06-05T19:06:23.7861430Z call_function aten__native_batch_norm_legit_no_training_default_35 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_35, p_features_9_branch3_1_bn_weight, p_features_9_branch3_1_bn_bias, b_features_9_branch3_1_bn_running_mean, b_features_9_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7861850Z call_function aten_relu_default_32 : schema = aten::relu(Tensor self) -> Tensor (getitem_34,) {} 2025-06-05T19:06:23.7862290Z call_function aten_relu_default_33 : schema = aten::relu(Tensor self) -> Tensor (getitem_35,) {} 2025-06-05T19:06:23.7862760Z call_function aten_relu_default_34 : schema = aten::relu(Tensor self) -> Tensor (getitem_36,) {} 2025-06-05T19:06:23.7863160Z call_function getitem_37 (aten__native_batch_norm_legit_no_training_default_35, 0) {} 2025-06-05T19:06:23.7864060Z call_function aten_convolution_default_36 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_33, p_features_9_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7865020Z call_function aten_convolution_default_37 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_34, p_features_9_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7865500Z call_function aten_relu_default_35 : schema = aten::relu(Tensor self) -> Tensor (getitem_37,) {} 2025-06-05T19:06:23.7866620Z call_function aten__native_batch_norm_legit_no_training_default_36 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_36, p_features_9_branch1_1_bn_weight, p_features_9_branch1_1_bn_bias, b_features_9_branch1_1_bn_running_mean, b_features_9_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7867740Z call_function aten__native_batch_norm_legit_no_training_default_37 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_37, p_features_9_branch2_1_bn_weight, p_features_9_branch2_1_bn_bias, b_features_9_branch2_1_bn_running_mean, b_features_9_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7868130Z call_function getitem_38 (aten__native_batch_norm_legit_no_training_default_36, 0) {} 2025-06-05T19:06:23.7868570Z call_function getitem_39 (aten__native_batch_norm_legit_no_training_default_37, 0) {} 2025-06-05T19:06:23.7869000Z call_function aten_relu_default_36 : schema = aten::relu(Tensor self) -> Tensor (getitem_38,) {} 2025-06-05T19:06:23.7869520Z call_function aten_relu_default_37 : schema = aten::relu(Tensor self) -> Tensor (getitem_39,) {} 2025-06-05T19:06:23.7870470Z call_function aten_convolution_default_38 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_37, p_features_9_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7871600Z call_function aten__native_batch_norm_legit_no_training_default_38 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_38, p_features_9_branch2_2_bn_weight, p_features_9_branch2_2_bn_bias, b_features_9_branch2_2_bn_running_mean, b_features_9_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7871990Z call_function getitem_40 (aten__native_batch_norm_legit_no_training_default_38, 0) {} 2025-06-05T19:06:23.7872420Z call_function aten_relu_default_38 : schema = aten::relu(Tensor self) -> Tensor (getitem_40,) {} 2025-06-05T19:06:23.7873050Z call_function aten_cat_default_6 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_32, aten_relu_default_36, aten_relu_default_38, aten_relu_default_35], 1) {} 2025-06-05T19:06:23.7873910Z call_function aten_convolution_default_39 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_6, p_features_10_branch0_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7874820Z call_function aten_convolution_default_40 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_6, p_features_10_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7875650Z call_function aten_max_pool2d_with_indices_default_2 : schema = aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) (aten_cat_default_6, [3, 3], [2, 2]) {} 2025-06-05T19:06:23.7876740Z call_function aten__native_batch_norm_legit_no_training_default_39 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_39, p_features_10_branch0_bn_weight, p_features_10_branch0_bn_bias, b_features_10_branch0_bn_running_mean, b_features_10_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7877820Z call_function aten__native_batch_norm_legit_no_training_default_40 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_40, p_features_10_branch1_0_bn_weight, p_features_10_branch1_0_bn_bias, b_features_10_branch1_0_bn_running_mean, b_features_10_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7878180Z call_function getitem_41 (aten_max_pool2d_with_indices_default_2, 0) {} 2025-06-05T19:06:23.7878610Z call_function getitem_42 (aten__native_batch_norm_legit_no_training_default_39, 0) {} 2025-06-05T19:06:23.7878990Z call_function getitem_43 (aten__native_batch_norm_legit_no_training_default_40, 0) {} 2025-06-05T19:06:23.7879400Z call_function aten_relu_default_39 : schema = aten::relu(Tensor self) -> Tensor (getitem_42,) {} 2025-06-05T19:06:23.7879890Z call_function aten_relu_default_40 : schema = aten::relu(Tensor self) -> Tensor (getitem_43,) {} 2025-06-05T19:06:23.7880810Z call_function aten_convolution_default_41 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_40, p_features_10_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7881890Z call_function aten__native_batch_norm_legit_no_training_default_41 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_41, p_features_10_branch1_1_bn_weight, p_features_10_branch1_1_bn_bias, b_features_10_branch1_1_bn_running_mean, b_features_10_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7882270Z call_function getitem_44 (aten__native_batch_norm_legit_no_training_default_41, 0) {} 2025-06-05T19:06:23.7882730Z call_function aten_relu_default_41 : schema = aten::relu(Tensor self) -> Tensor (getitem_44,) {} 2025-06-05T19:06:23.7883610Z call_function aten_convolution_default_42 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_41, p_features_10_branch1_2_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7884700Z call_function aten__native_batch_norm_legit_no_training_default_42 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_42, p_features_10_branch1_2_bn_weight, p_features_10_branch1_2_bn_bias, b_features_10_branch1_2_bn_running_mean, b_features_10_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7885150Z call_function getitem_45 (aten__native_batch_norm_legit_no_training_default_42, 0) {} 2025-06-05T19:06:23.7885620Z call_function aten_relu_default_42 : schema = aten::relu(Tensor self) -> Tensor (getitem_45,) {} 2025-06-05T19:06:23.7886120Z call_function aten_cat_default_7 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_39, aten_relu_default_42, getitem_41], 1) {} 2025-06-05T19:06:23.7886980Z call_function aten_convolution_default_43 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_7, p_features_11_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7887840Z call_function aten_convolution_default_44 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_7, p_features_11_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7888740Z call_function aten_convolution_default_45 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_7, p_features_11_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7889480Z call_function aten_avg_pool2d_default_4 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_7, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7890630Z call_function aten__native_batch_norm_legit_no_training_default_43 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_43, p_features_11_branch0_bn_weight, p_features_11_branch0_bn_bias, b_features_11_branch0_bn_running_mean, b_features_11_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7897870Z call_function aten__native_batch_norm_legit_no_training_default_44 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_44, p_features_11_branch1_0_bn_weight, p_features_11_branch1_0_bn_bias, b_features_11_branch1_0_bn_running_mean, b_features_11_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7898960Z call_function aten__native_batch_norm_legit_no_training_default_45 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_45, p_features_11_branch2_0_bn_weight, p_features_11_branch2_0_bn_bias, b_features_11_branch2_0_bn_running_mean, b_features_11_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7899840Z call_function aten_convolution_default_46 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_4, p_features_11_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7900220Z call_function getitem_46 (aten__native_batch_norm_legit_no_training_default_43, 0) {} 2025-06-05T19:06:23.7900650Z call_function getitem_47 (aten__native_batch_norm_legit_no_training_default_44, 0) {} 2025-06-05T19:06:23.7901020Z call_function getitem_48 (aten__native_batch_norm_legit_no_training_default_45, 0) {} 2025-06-05T19:06:23.7902100Z call_function aten__native_batch_norm_legit_no_training_default_46 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_46, p_features_11_branch3_1_bn_weight, p_features_11_branch3_1_bn_bias, b_features_11_branch3_1_bn_running_mean, b_features_11_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7902590Z call_function aten_relu_default_43 : schema = aten::relu(Tensor self) -> Tensor (getitem_46,) {} 2025-06-05T19:06:23.7903050Z call_function aten_relu_default_44 : schema = aten::relu(Tensor self) -> Tensor (getitem_47,) {} 2025-06-05T19:06:23.7903460Z call_function aten_relu_default_45 : schema = aten::relu(Tensor self) -> Tensor (getitem_48,) {} 2025-06-05T19:06:23.7903830Z call_function getitem_49 (aten__native_batch_norm_legit_no_training_default_46, 0) {} 2025-06-05T19:06:23.7904760Z call_function aten_convolution_default_47 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_44, p_features_11_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7905620Z call_function aten_convolution_default_48 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_45, p_features_11_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7906030Z call_function aten_relu_default_46 : schema = aten::relu(Tensor self) -> Tensor (getitem_49,) {} 2025-06-05T19:06:23.7907180Z call_function aten__native_batch_norm_legit_no_training_default_47 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_47, p_features_11_branch1_1_bn_weight, p_features_11_branch1_1_bn_bias, b_features_11_branch1_1_bn_running_mean, b_features_11_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7908300Z call_function aten__native_batch_norm_legit_no_training_default_48 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_48, p_features_11_branch2_1_bn_weight, p_features_11_branch2_1_bn_bias, b_features_11_branch2_1_bn_running_mean, b_features_11_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7908680Z call_function getitem_50 (aten__native_batch_norm_legit_no_training_default_47, 0) {} 2025-06-05T19:06:23.7909050Z call_function getitem_51 (aten__native_batch_norm_legit_no_training_default_48, 0) {} 2025-06-05T19:06:23.7909460Z call_function aten_relu_default_47 : schema = aten::relu(Tensor self) -> Tensor (getitem_50,) {} 2025-06-05T19:06:23.7909920Z call_function aten_relu_default_48 : schema = aten::relu(Tensor self) -> Tensor (getitem_51,) {} 2025-06-05T19:06:23.7910790Z call_function aten_convolution_default_49 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_47, p_features_11_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7911700Z call_function aten_convolution_default_50 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_48, p_features_11_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7912850Z call_function aten__native_batch_norm_legit_no_training_default_49 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_49, p_features_11_branch1_2_bn_weight, p_features_11_branch1_2_bn_bias, b_features_11_branch1_2_bn_running_mean, b_features_11_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7913930Z call_function aten__native_batch_norm_legit_no_training_default_50 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_50, p_features_11_branch2_2_bn_weight, p_features_11_branch2_2_bn_bias, b_features_11_branch2_2_bn_running_mean, b_features_11_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7914310Z call_function getitem_52 (aten__native_batch_norm_legit_no_training_default_49, 0) {} 2025-06-05T19:06:23.7914680Z call_function getitem_53 (aten__native_batch_norm_legit_no_training_default_50, 0) {} 2025-06-05T19:06:23.7915140Z call_function aten_relu_default_49 : schema = aten::relu(Tensor self) -> Tensor (getitem_52,) {} 2025-06-05T19:06:23.7915550Z call_function aten_relu_default_50 : schema = aten::relu(Tensor self) -> Tensor (getitem_53,) {} 2025-06-05T19:06:23.7916480Z call_function aten_convolution_default_51 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_50, p_features_11_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7917640Z call_function aten__native_batch_norm_legit_no_training_default_51 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_51, p_features_11_branch2_3_bn_weight, p_features_11_branch2_3_bn_bias, b_features_11_branch2_3_bn_running_mean, b_features_11_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7918030Z call_function getitem_54 (aten__native_batch_norm_legit_no_training_default_51, 0) {} 2025-06-05T19:06:23.7918440Z call_function aten_relu_default_51 : schema = aten::relu(Tensor self) -> Tensor (getitem_54,) {} 2025-06-05T19:06:23.7919310Z call_function aten_convolution_default_52 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_51, p_features_11_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7920430Z call_function aten__native_batch_norm_legit_no_training_default_52 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_52, p_features_11_branch2_4_bn_weight, p_features_11_branch2_4_bn_bias, b_features_11_branch2_4_bn_running_mean, b_features_11_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7920810Z call_function getitem_55 (aten__native_batch_norm_legit_no_training_default_52, 0) {} 2025-06-05T19:06:23.7921220Z call_function aten_relu_default_52 : schema = aten::relu(Tensor self) -> Tensor (getitem_55,) {} 2025-06-05T19:06:23.7921860Z call_function aten_cat_default_8 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_43, aten_relu_default_49, aten_relu_default_52, aten_relu_default_46], 1) {} 2025-06-05T19:06:23.7922760Z call_function aten_convolution_default_53 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_8, p_features_12_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7923620Z call_function aten_convolution_default_54 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_8, p_features_12_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7924480Z call_function aten_convolution_default_55 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_8, p_features_12_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7925210Z call_function aten_avg_pool2d_default_5 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_8, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7926350Z call_function aten__native_batch_norm_legit_no_training_default_53 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_53, p_features_12_branch0_bn_weight, p_features_12_branch0_bn_bias, b_features_12_branch0_bn_running_mean, b_features_12_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7927430Z call_function aten__native_batch_norm_legit_no_training_default_54 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_54, p_features_12_branch1_0_bn_weight, p_features_12_branch1_0_bn_bias, b_features_12_branch1_0_bn_running_mean, b_features_12_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7928570Z call_function aten__native_batch_norm_legit_no_training_default_55 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_55, p_features_12_branch2_0_bn_weight, p_features_12_branch2_0_bn_bias, b_features_12_branch2_0_bn_running_mean, b_features_12_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7929500Z call_function aten_convolution_default_56 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_5, p_features_12_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7929870Z call_function getitem_56 (aten__native_batch_norm_legit_no_training_default_53, 0) {} 2025-06-05T19:06:23.7930240Z call_function getitem_57 (aten__native_batch_norm_legit_no_training_default_54, 0) {} 2025-06-05T19:06:23.7930620Z call_function getitem_58 (aten__native_batch_norm_legit_no_training_default_55, 0) {} 2025-06-05T19:06:23.7931740Z call_function aten__native_batch_norm_legit_no_training_default_56 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_56, p_features_12_branch3_1_bn_weight, p_features_12_branch3_1_bn_bias, b_features_12_branch3_1_bn_running_mean, b_features_12_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7932160Z call_function aten_relu_default_53 : schema = aten::relu(Tensor self) -> Tensor (getitem_56,) {} 2025-06-05T19:06:23.7932610Z call_function aten_relu_default_54 : schema = aten::relu(Tensor self) -> Tensor (getitem_57,) {} 2025-06-05T19:06:23.7933090Z call_function aten_relu_default_55 : schema = aten::relu(Tensor self) -> Tensor (getitem_58,) {} 2025-06-05T19:06:23.7933470Z call_function getitem_59 (aten__native_batch_norm_legit_no_training_default_56, 0) {} 2025-06-05T19:06:23.7934340Z call_function aten_convolution_default_57 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_54, p_features_12_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7935190Z call_function aten_convolution_default_58 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_55, p_features_12_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7935650Z call_function aten_relu_default_56 : schema = aten::relu(Tensor self) -> Tensor (getitem_59,) {} 2025-06-05T19:06:23.7936730Z call_function aten__native_batch_norm_legit_no_training_default_57 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_57, p_features_12_branch1_1_bn_weight, p_features_12_branch1_1_bn_bias, b_features_12_branch1_1_bn_running_mean, b_features_12_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7937810Z call_function aten__native_batch_norm_legit_no_training_default_58 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_58, p_features_12_branch2_1_bn_weight, p_features_12_branch2_1_bn_bias, b_features_12_branch2_1_bn_running_mean, b_features_12_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7938270Z call_function getitem_60 (aten__native_batch_norm_legit_no_training_default_57, 0) {} 2025-06-05T19:06:23.7938700Z call_function getitem_61 (aten__native_batch_norm_legit_no_training_default_58, 0) {} 2025-06-05T19:06:23.7939110Z call_function aten_relu_default_57 : schema = aten::relu(Tensor self) -> Tensor (getitem_60,) {} 2025-06-05T19:06:23.7939520Z call_function aten_relu_default_58 : schema = aten::relu(Tensor self) -> Tensor (getitem_61,) {} 2025-06-05T19:06:23.7940430Z call_function aten_convolution_default_59 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_57, p_features_12_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7941290Z call_function aten_convolution_default_60 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_58, p_features_12_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7942370Z call_function aten__native_batch_norm_legit_no_training_default_59 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_59, p_features_12_branch1_2_bn_weight, p_features_12_branch1_2_bn_bias, b_features_12_branch1_2_bn_running_mean, b_features_12_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7943520Z call_function aten__native_batch_norm_legit_no_training_default_60 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_60, p_features_12_branch2_2_bn_weight, p_features_12_branch2_2_bn_bias, b_features_12_branch2_2_bn_running_mean, b_features_12_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7943950Z call_function getitem_62 (aten__native_batch_norm_legit_no_training_default_59, 0) {} 2025-06-05T19:06:23.7944340Z call_function getitem_63 (aten__native_batch_norm_legit_no_training_default_60, 0) {} 2025-06-05T19:06:23.7944750Z call_function aten_relu_default_59 : schema = aten::relu(Tensor self) -> Tensor (getitem_62,) {} 2025-06-05T19:06:23.7945160Z call_function aten_relu_default_60 : schema = aten::relu(Tensor self) -> Tensor (getitem_63,) {} 2025-06-05T19:06:23.7946080Z call_function aten_convolution_default_61 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_60, p_features_12_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7947160Z call_function aten__native_batch_norm_legit_no_training_default_61 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_61, p_features_12_branch2_3_bn_weight, p_features_12_branch2_3_bn_bias, b_features_12_branch2_3_bn_running_mean, b_features_12_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7947590Z call_function getitem_64 (aten__native_batch_norm_legit_no_training_default_61, 0) {} 2025-06-05T19:06:23.7948070Z call_function aten_relu_default_61 : schema = aten::relu(Tensor self) -> Tensor (getitem_64,) {} 2025-06-05T19:06:23.7948940Z call_function aten_convolution_default_62 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_61, p_features_12_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7950020Z call_function aten__native_batch_norm_legit_no_training_default_62 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_62, p_features_12_branch2_4_bn_weight, p_features_12_branch2_4_bn_bias, b_features_12_branch2_4_bn_running_mean, b_features_12_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7950390Z call_function getitem_65 (aten__native_batch_norm_legit_no_training_default_62, 0) {} 2025-06-05T19:06:23.7950850Z call_function aten_relu_default_62 : schema = aten::relu(Tensor self) -> Tensor (getitem_65,) {} 2025-06-05T19:06:23.7951410Z call_function aten_cat_default_9 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_53, aten_relu_default_59, aten_relu_default_62, aten_relu_default_56], 1) {} 2025-06-05T19:06:23.7952280Z call_function aten_convolution_default_63 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_9, p_features_13_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7953200Z call_function aten_convolution_default_64 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_9, p_features_13_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7954120Z call_function aten_convolution_default_65 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_9, p_features_13_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7954860Z call_function aten_avg_pool2d_default_6 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_9, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7955950Z call_function aten__native_batch_norm_legit_no_training_default_63 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_63, p_features_13_branch0_bn_weight, p_features_13_branch0_bn_bias, b_features_13_branch0_bn_running_mean, b_features_13_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7957070Z call_function aten__native_batch_norm_legit_no_training_default_64 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_64, p_features_13_branch1_0_bn_weight, p_features_13_branch1_0_bn_bias, b_features_13_branch1_0_bn_running_mean, b_features_13_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7958150Z call_function aten__native_batch_norm_legit_no_training_default_65 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_65, p_features_13_branch2_0_bn_weight, p_features_13_branch2_0_bn_bias, b_features_13_branch2_0_bn_running_mean, b_features_13_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7959050Z call_function aten_convolution_default_66 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_6, p_features_13_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7959520Z call_function getitem_66 (aten__native_batch_norm_legit_no_training_default_63, 0) {} 2025-06-05T19:06:23.7959950Z call_function getitem_67 (aten__native_batch_norm_legit_no_training_default_64, 0) {} 2025-06-05T19:06:23.7960330Z call_function getitem_68 (aten__native_batch_norm_legit_no_training_default_65, 0) {} 2025-06-05T19:06:23.7961410Z call_function aten__native_batch_norm_legit_no_training_default_66 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_66, p_features_13_branch3_1_bn_weight, p_features_13_branch3_1_bn_bias, b_features_13_branch3_1_bn_running_mean, b_features_13_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7961810Z call_function aten_relu_default_63 : schema = aten::relu(Tensor self) -> Tensor (getitem_66,) {} 2025-06-05T19:06:23.7962270Z call_function aten_relu_default_64 : schema = aten::relu(Tensor self) -> Tensor (getitem_67,) {} 2025-06-05T19:06:23.7962680Z call_function aten_relu_default_65 : schema = aten::relu(Tensor self) -> Tensor (getitem_68,) {} 2025-06-05T19:06:23.7963110Z call_function getitem_69 (aten__native_batch_norm_legit_no_training_default_66, 0) {} 2025-06-05T19:06:23.7964040Z call_function aten_convolution_default_67 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_64, p_features_13_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7964900Z call_function aten_convolution_default_68 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_65, p_features_13_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7965320Z call_function aten_relu_default_66 : schema = aten::relu(Tensor self) -> Tensor (getitem_69,) {} 2025-06-05T19:06:23.7966400Z call_function aten__native_batch_norm_legit_no_training_default_67 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_67, p_features_13_branch1_1_bn_weight, p_features_13_branch1_1_bn_bias, b_features_13_branch1_1_bn_running_mean, b_features_13_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7967530Z call_function aten__native_batch_norm_legit_no_training_default_68 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_68, p_features_13_branch2_1_bn_weight, p_features_13_branch2_1_bn_bias, b_features_13_branch2_1_bn_running_mean, b_features_13_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7967910Z call_function getitem_70 (aten__native_batch_norm_legit_no_training_default_67, 0) {} 2025-06-05T19:06:23.7968330Z call_function getitem_71 (aten__native_batch_norm_legit_no_training_default_68, 0) {} 2025-06-05T19:06:23.7968760Z call_function aten_relu_default_67 : schema = aten::relu(Tensor self) -> Tensor (getitem_70,) {} 2025-06-05T19:06:23.7969220Z call_function aten_relu_default_68 : schema = aten::relu(Tensor self) -> Tensor (getitem_71,) {} 2025-06-05T19:06:23.7970080Z call_function aten_convolution_default_69 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_67, p_features_13_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7970950Z call_function aten_convolution_default_70 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_68, p_features_13_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7972070Z call_function aten__native_batch_norm_legit_no_training_default_69 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_69, p_features_13_branch1_2_bn_weight, p_features_13_branch1_2_bn_bias, b_features_13_branch1_2_bn_running_mean, b_features_13_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7973160Z call_function aten__native_batch_norm_legit_no_training_default_70 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_70, p_features_13_branch2_2_bn_weight, p_features_13_branch2_2_bn_bias, b_features_13_branch2_2_bn_running_mean, b_features_13_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7973530Z call_function getitem_72 (aten__native_batch_norm_legit_no_training_default_69, 0) {} 2025-06-05T19:06:23.7973970Z call_function getitem_73 (aten__native_batch_norm_legit_no_training_default_70, 0) {} 2025-06-05T19:06:23.7974420Z call_function aten_relu_default_69 : schema = aten::relu(Tensor self) -> Tensor (getitem_72,) {} 2025-06-05T19:06:23.7974830Z call_function aten_relu_default_70 : schema = aten::relu(Tensor self) -> Tensor (getitem_73,) {} 2025-06-05T19:06:23.7975710Z call_function aten_convolution_default_71 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_70, p_features_13_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7976790Z call_function aten__native_batch_norm_legit_no_training_default_71 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_71, p_features_13_branch2_3_bn_weight, p_features_13_branch2_3_bn_bias, b_features_13_branch2_3_bn_running_mean, b_features_13_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7977220Z call_function getitem_74 (aten__native_batch_norm_legit_no_training_default_71, 0) {} 2025-06-05T19:06:23.7977630Z call_function aten_relu_default_71 : schema = aten::relu(Tensor self) -> Tensor (getitem_74,) {} 2025-06-05T19:06:23.7978590Z call_function aten_convolution_default_72 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_71, p_features_13_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7979730Z call_function aten__native_batch_norm_legit_no_training_default_72 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_72, p_features_13_branch2_4_bn_weight, p_features_13_branch2_4_bn_bias, b_features_13_branch2_4_bn_running_mean, b_features_13_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7980110Z call_function getitem_75 (aten__native_batch_norm_legit_no_training_default_72, 0) {} 2025-06-05T19:06:23.7980520Z call_function aten_relu_default_72 : schema = aten::relu(Tensor self) -> Tensor (getitem_75,) {} 2025-06-05T19:06:23.7981080Z call_function aten_cat_default_10 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_63, aten_relu_default_69, aten_relu_default_72, aten_relu_default_66], 1) {} 2025-06-05T19:06:23.7981980Z call_function aten_convolution_default_73 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_10, p_features_14_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7982850Z call_function aten_convolution_default_74 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_10, p_features_14_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7983770Z call_function aten_convolution_default_75 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_10, p_features_14_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7984570Z call_function aten_avg_pool2d_default_7 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_10, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.7985660Z call_function aten__native_batch_norm_legit_no_training_default_73 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_73, p_features_14_branch0_bn_weight, p_features_14_branch0_bn_bias, b_features_14_branch0_bn_running_mean, b_features_14_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7986740Z call_function aten__native_batch_norm_legit_no_training_default_74 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_74, p_features_14_branch1_0_bn_weight, p_features_14_branch1_0_bn_bias, b_features_14_branch1_0_bn_running_mean, b_features_14_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7987820Z call_function aten__native_batch_norm_legit_no_training_default_75 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_75, p_features_14_branch2_0_bn_weight, p_features_14_branch2_0_bn_bias, b_features_14_branch2_0_bn_running_mean, b_features_14_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7988760Z call_function aten_convolution_default_76 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_7, p_features_14_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7989140Z call_function getitem_76 (aten__native_batch_norm_legit_no_training_default_73, 0) {} 2025-06-05T19:06:23.7989510Z call_function getitem_77 (aten__native_batch_norm_legit_no_training_default_74, 0) {} 2025-06-05T19:06:23.7989970Z call_function getitem_78 (aten__native_batch_norm_legit_no_training_default_75, 0) {} 2025-06-05T19:06:23.7991090Z call_function aten__native_batch_norm_legit_no_training_default_76 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_76, p_features_14_branch3_1_bn_weight, p_features_14_branch3_1_bn_bias, b_features_14_branch3_1_bn_running_mean, b_features_14_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7991500Z call_function aten_relu_default_73 : schema = aten::relu(Tensor self) -> Tensor (getitem_76,) {} 2025-06-05T19:06:23.7991910Z call_function aten_relu_default_74 : schema = aten::relu(Tensor self) -> Tensor (getitem_77,) {} 2025-06-05T19:06:23.7992380Z call_function aten_relu_default_75 : schema = aten::relu(Tensor self) -> Tensor (getitem_78,) {} 2025-06-05T19:06:23.7992760Z call_function getitem_79 (aten__native_batch_norm_legit_no_training_default_76, 0) {} 2025-06-05T19:06:23.7993630Z call_function aten_convolution_default_77 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_74, p_features_14_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7994560Z call_function aten_convolution_default_78 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_75, p_features_14_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.7995020Z call_function aten_relu_default_76 : schema = aten::relu(Tensor self) -> Tensor (getitem_79,) {} 2025-06-05T19:06:23.7996090Z call_function aten__native_batch_norm_legit_no_training_default_77 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_77, p_features_14_branch1_1_bn_weight, p_features_14_branch1_1_bn_bias, b_features_14_branch1_1_bn_running_mean, b_features_14_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7997170Z call_function aten__native_batch_norm_legit_no_training_default_78 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_78, p_features_14_branch2_1_bn_weight, p_features_14_branch2_1_bn_bias, b_features_14_branch2_1_bn_running_mean, b_features_14_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.7997550Z call_function getitem_80 (aten__native_batch_norm_legit_no_training_default_77, 0) {} 2025-06-05T19:06:23.7997980Z call_function getitem_81 (aten__native_batch_norm_legit_no_training_default_78, 0) {} 2025-06-05T19:06:23.7998400Z call_function aten_relu_default_77 : schema = aten::relu(Tensor self) -> Tensor (getitem_80,) {} 2025-06-05T19:06:23.7998870Z call_function aten_relu_default_78 : schema = aten::relu(Tensor self) -> Tensor (getitem_81,) {} 2025-06-05T19:06:23.7999830Z call_function aten_convolution_default_79 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_77, p_features_14_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8000690Z call_function aten_convolution_default_80 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_78, p_features_14_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8001780Z call_function aten__native_batch_norm_legit_no_training_default_79 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_79, p_features_14_branch1_2_bn_weight, p_features_14_branch1_2_bn_bias, b_features_14_branch1_2_bn_running_mean, b_features_14_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8002850Z call_function aten__native_batch_norm_legit_no_training_default_80 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_80, p_features_14_branch2_2_bn_weight, p_features_14_branch2_2_bn_bias, b_features_14_branch2_2_bn_running_mean, b_features_14_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8003280Z call_function getitem_82 (aten__native_batch_norm_legit_no_training_default_79, 0) {} 2025-06-05T19:06:23.8003650Z call_function getitem_83 (aten__native_batch_norm_legit_no_training_default_80, 0) {} 2025-06-05T19:06:23.8004070Z call_function aten_relu_default_79 : schema = aten::relu(Tensor self) -> Tensor (getitem_82,) {} 2025-06-05T19:06:23.8004550Z call_function aten_relu_default_80 : schema = aten::relu(Tensor self) -> Tensor (getitem_83,) {} 2025-06-05T19:06:23.8005460Z call_function aten_convolution_default_81 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_80, p_features_14_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8006540Z call_function aten__native_batch_norm_legit_no_training_default_81 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_81, p_features_14_branch2_3_bn_weight, p_features_14_branch2_3_bn_bias, b_features_14_branch2_3_bn_running_mean, b_features_14_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8006920Z call_function getitem_84 (aten__native_batch_norm_legit_no_training_default_81, 0) {} 2025-06-05T19:06:23.8007390Z call_function aten_relu_default_81 : schema = aten::relu(Tensor self) -> Tensor (getitem_84,) {} 2025-06-05T19:06:23.8008260Z call_function aten_convolution_default_82 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_81, p_features_14_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8009340Z call_function aten__native_batch_norm_legit_no_training_default_82 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_82, p_features_14_branch2_4_bn_weight, p_features_14_branch2_4_bn_bias, b_features_14_branch2_4_bn_running_mean, b_features_14_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8009800Z call_function getitem_85 (aten__native_batch_norm_legit_no_training_default_82, 0) {} 2025-06-05T19:06:23.8010270Z call_function aten_relu_default_82 : schema = aten::relu(Tensor self) -> Tensor (getitem_85,) {} 2025-06-05T19:06:23.8010820Z call_function aten_cat_default_11 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_73, aten_relu_default_79, aten_relu_default_82, aten_relu_default_76], 1) {} 2025-06-05T19:06:23.8011690Z call_function aten_convolution_default_83 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_11, p_features_15_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8012540Z call_function aten_convolution_default_84 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_11, p_features_15_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8013450Z call_function aten_convolution_default_85 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_11, p_features_15_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8014190Z call_function aten_avg_pool2d_default_8 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_11, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8015320Z call_function aten__native_batch_norm_legit_no_training_default_83 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_83, p_features_15_branch0_bn_weight, p_features_15_branch0_bn_bias, b_features_15_branch0_bn_running_mean, b_features_15_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8016480Z call_function aten__native_batch_norm_legit_no_training_default_84 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_84, p_features_15_branch1_0_bn_weight, p_features_15_branch1_0_bn_bias, b_features_15_branch1_0_bn_running_mean, b_features_15_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8017550Z call_function aten__native_batch_norm_legit_no_training_default_85 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_85, p_features_15_branch2_0_bn_weight, p_features_15_branch2_0_bn_bias, b_features_15_branch2_0_bn_running_mean, b_features_15_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8018430Z call_function aten_convolution_default_86 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_8, p_features_15_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8018810Z call_function getitem_86 (aten__native_batch_norm_legit_no_training_default_83, 0) {} 2025-06-05T19:06:23.8019240Z call_function getitem_87 (aten__native_batch_norm_legit_no_training_default_84, 0) {} 2025-06-05T19:06:23.8019620Z call_function getitem_88 (aten__native_batch_norm_legit_no_training_default_85, 0) {} 2025-06-05T19:06:23.8020760Z call_function aten__native_batch_norm_legit_no_training_default_86 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_86, p_features_15_branch3_1_bn_weight, p_features_15_branch3_1_bn_bias, b_features_15_branch3_1_bn_running_mean, b_features_15_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8021210Z call_function aten_relu_default_83 : schema = aten::relu(Tensor self) -> Tensor (getitem_86,) {} 2025-06-05T19:06:23.8021680Z call_function aten_relu_default_84 : schema = aten::relu(Tensor self) -> Tensor (getitem_87,) {} 2025-06-05T19:06:23.8022080Z call_function aten_relu_default_85 : schema = aten::relu(Tensor self) -> Tensor (getitem_88,) {} 2025-06-05T19:06:23.8022460Z call_function getitem_89 (aten__native_batch_norm_legit_no_training_default_86, 0) {} 2025-06-05T19:06:23.8023360Z call_function aten_convolution_default_87 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_84, p_features_15_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8024230Z call_function aten_convolution_default_88 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_85, p_features_15_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8024640Z call_function aten_relu_default_86 : schema = aten::relu(Tensor self) -> Tensor (getitem_89,) {} 2025-06-05T19:06:23.8025800Z call_function aten__native_batch_norm_legit_no_training_default_87 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_87, p_features_15_branch1_1_bn_weight, p_features_15_branch1_1_bn_bias, b_features_15_branch1_1_bn_running_mean, b_features_15_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8026930Z call_function aten__native_batch_norm_legit_no_training_default_88 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_88, p_features_15_branch2_1_bn_weight, p_features_15_branch2_1_bn_bias, b_features_15_branch2_1_bn_running_mean, b_features_15_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8027310Z call_function getitem_90 (aten__native_batch_norm_legit_no_training_default_87, 0) {} 2025-06-05T19:06:23.8027680Z call_function getitem_91 (aten__native_batch_norm_legit_no_training_default_88, 0) {} 2025-06-05T19:06:23.8028090Z call_function aten_relu_default_87 : schema = aten::relu(Tensor self) -> Tensor (getitem_90,) {} 2025-06-05T19:06:23.8028570Z call_function aten_relu_default_88 : schema = aten::relu(Tensor self) -> Tensor (getitem_91,) {} 2025-06-05T19:06:23.8029440Z call_function aten_convolution_default_89 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_87, p_features_15_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8030360Z call_function aten_convolution_default_90 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_88, p_features_15_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8031490Z call_function aten__native_batch_norm_legit_no_training_default_89 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_89, p_features_15_branch1_2_bn_weight, p_features_15_branch1_2_bn_bias, b_features_15_branch1_2_bn_running_mean, b_features_15_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8032560Z call_function aten__native_batch_norm_legit_no_training_default_90 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_90, p_features_15_branch2_2_bn_weight, p_features_15_branch2_2_bn_bias, b_features_15_branch2_2_bn_running_mean, b_features_15_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8032940Z call_function getitem_92 (aten__native_batch_norm_legit_no_training_default_89, 0) {} 2025-06-05T19:06:23.8033310Z call_function getitem_93 (aten__native_batch_norm_legit_no_training_default_90, 0) {} 2025-06-05T19:06:23.8033770Z call_function aten_relu_default_89 : schema = aten::relu(Tensor self) -> Tensor (getitem_92,) {} 2025-06-05T19:06:23.8034180Z call_function aten_relu_default_90 : schema = aten::relu(Tensor self) -> Tensor (getitem_93,) {} 2025-06-05T19:06:23.8035090Z call_function aten_convolution_default_91 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_90, p_features_15_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8036230Z call_function aten__native_batch_norm_legit_no_training_default_91 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_91, p_features_15_branch2_3_bn_weight, p_features_15_branch2_3_bn_bias, b_features_15_branch2_3_bn_running_mean, b_features_15_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8036610Z call_function getitem_94 (aten__native_batch_norm_legit_no_training_default_91, 0) {} 2025-06-05T19:06:23.8037020Z call_function aten_relu_default_91 : schema = aten::relu(Tensor self) -> Tensor (getitem_94,) {} 2025-06-05T19:06:23.8037890Z call_function aten_convolution_default_92 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_91, p_features_15_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8039010Z call_function aten__native_batch_norm_legit_no_training_default_92 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_92, p_features_15_branch2_4_bn_weight, p_features_15_branch2_4_bn_bias, b_features_15_branch2_4_bn_running_mean, b_features_15_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8039390Z call_function getitem_95 (aten__native_batch_norm_legit_no_training_default_92, 0) {} 2025-06-05T19:06:23.8039810Z call_function aten_relu_default_92 : schema = aten::relu(Tensor self) -> Tensor (getitem_95,) {} 2025-06-05T19:06:23.8040450Z call_function aten_cat_default_12 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_83, aten_relu_default_89, aten_relu_default_92, aten_relu_default_86], 1) {} 2025-06-05T19:06:23.8041370Z call_function aten_convolution_default_93 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_12, p_features_16_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8042250Z call_function aten_convolution_default_94 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_12, p_features_16_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8043110Z call_function aten_convolution_default_95 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_12, p_features_16_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8043890Z call_function aten_avg_pool2d_default_9 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_12, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8044970Z call_function aten__native_batch_norm_legit_no_training_default_93 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_93, p_features_16_branch0_bn_weight, p_features_16_branch0_bn_bias, b_features_16_branch0_bn_running_mean, b_features_16_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8046050Z call_function aten__native_batch_norm_legit_no_training_default_94 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_94, p_features_16_branch1_0_bn_weight, p_features_16_branch1_0_bn_bias, b_features_16_branch1_0_bn_running_mean, b_features_16_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8047210Z call_function aten__native_batch_norm_legit_no_training_default_95 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_95, p_features_16_branch2_0_bn_weight, p_features_16_branch2_0_bn_bias, b_features_16_branch2_0_bn_running_mean, b_features_16_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8048140Z call_function aten_convolution_default_96 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_9, p_features_16_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8048520Z call_function getitem_96 (aten__native_batch_norm_legit_no_training_default_93, 0) {} 2025-06-05T19:06:23.8048890Z call_function getitem_97 (aten__native_batch_norm_legit_no_training_default_94, 0) {} 2025-06-05T19:06:23.8049260Z call_function getitem_98 (aten__native_batch_norm_legit_no_training_default_95, 0) {} 2025-06-05T19:06:23.8050410Z call_function aten__native_batch_norm_legit_no_training_default_96 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_96, p_features_16_branch3_1_bn_weight, p_features_16_branch3_1_bn_bias, b_features_16_branch3_1_bn_running_mean, b_features_16_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8050830Z call_function aten_relu_default_93 : schema = aten::relu(Tensor self) -> Tensor (getitem_96,) {} 2025-06-05T19:06:23.8051290Z call_function aten_relu_default_94 : schema = aten::relu(Tensor self) -> Tensor (getitem_97,) {} 2025-06-05T19:06:23.8051770Z call_function aten_relu_default_95 : schema = aten::relu(Tensor self) -> Tensor (getitem_98,) {} 2025-06-05T19:06:23.8052150Z call_function getitem_99 (aten__native_batch_norm_legit_no_training_default_96, 0) {} 2025-06-05T19:06:23.8053010Z call_function aten_convolution_default_97 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_94, p_features_16_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8053870Z call_function aten_convolution_default_98 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_95, p_features_16_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8054330Z call_function aten_relu_default_96 : schema = aten::relu(Tensor self) -> Tensor (getitem_99,) {} 2025-06-05T19:06:23.8055410Z call_function aten__native_batch_norm_legit_no_training_default_97 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_97, p_features_16_branch1_1_bn_weight, p_features_16_branch1_1_bn_bias, b_features_16_branch1_1_bn_running_mean, b_features_16_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8056490Z call_function aten__native_batch_norm_legit_no_training_default_98 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_98, p_features_16_branch2_1_bn_weight, p_features_16_branch2_1_bn_bias, b_features_16_branch2_1_bn_running_mean, b_features_16_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8056930Z call_function getitem_100 (aten__native_batch_norm_legit_no_training_default_97, 0) {} 2025-06-05T19:06:23.8057360Z call_function getitem_101 (aten__native_batch_norm_legit_no_training_default_98, 0) {} 2025-06-05T19:06:23.8057770Z call_function aten_relu_default_97 : schema = aten::relu(Tensor self) -> Tensor (getitem_100,) {} 2025-06-05T19:06:23.8058180Z call_function aten_relu_default_98 : schema = aten::relu(Tensor self) -> Tensor (getitem_101,) {} 2025-06-05T19:06:23.8059090Z call_function aten_convolution_default_99 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_97, p_features_16_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8059960Z call_function aten_convolution_default_100 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_98, p_features_16_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8061050Z call_function aten__native_batch_norm_legit_no_training_default_99 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_99, p_features_16_branch1_2_bn_weight, p_features_16_branch1_2_bn_bias, b_features_16_branch1_2_bn_running_mean, b_features_16_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8062230Z call_function aten__native_batch_norm_legit_no_training_default_100 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_100, p_features_16_branch2_2_bn_weight, p_features_16_branch2_2_bn_bias, b_features_16_branch2_2_bn_running_mean, b_features_16_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8062670Z call_function getitem_102 (aten__native_batch_norm_legit_no_training_default_99, 0) {} 2025-06-05T19:06:23.8063050Z call_function getitem_103 (aten__native_batch_norm_legit_no_training_default_100, 0) {} 2025-06-05T19:06:23.8063470Z call_function aten_relu_default_99 : schema = aten::relu(Tensor self) -> Tensor (getitem_102,) {} 2025-06-05T19:06:23.8063890Z call_function aten_relu_default_100 : schema = aten::relu(Tensor self) -> Tensor (getitem_103,) {} 2025-06-05T19:06:23.8064800Z call_function aten_convolution_default_101 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_100, p_features_16_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8065900Z call_function aten__native_batch_norm_legit_no_training_default_101 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_101, p_features_16_branch2_3_bn_weight, p_features_16_branch2_3_bn_bias, b_features_16_branch2_3_bn_running_mean, b_features_16_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8066340Z call_function getitem_104 (aten__native_batch_norm_legit_no_training_default_101, 0) {} 2025-06-05T19:06:23.8066840Z call_function aten_relu_default_101 : schema = aten::relu(Tensor self) -> Tensor (getitem_104,) {} 2025-06-05T19:06:23.8067720Z call_function aten_convolution_default_102 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_101, p_features_16_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8068810Z call_function aten__native_batch_norm_legit_no_training_default_102 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_102, p_features_16_branch2_4_bn_weight, p_features_16_branch2_4_bn_bias, b_features_16_branch2_4_bn_running_mean, b_features_16_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8069190Z call_function getitem_105 (aten__native_batch_norm_legit_no_training_default_102, 0) {} 2025-06-05T19:06:23.8069670Z call_function aten_relu_default_102 : schema = aten::relu(Tensor self) -> Tensor (getitem_105,) {} 2025-06-05T19:06:23.8070240Z call_function aten_cat_default_13 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_93, aten_relu_default_99, aten_relu_default_102, aten_relu_default_96], 1) {} 2025-06-05T19:06:23.8071150Z call_function aten_convolution_default_103 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_13, p_features_17_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8072040Z call_function aten_convolution_default_104 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_13, p_features_17_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8072950Z call_function aten_convolution_default_105 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_13, p_features_17_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8073690Z call_function aten_avg_pool2d_default_10 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_13, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8074770Z call_function aten__native_batch_norm_legit_no_training_default_103 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_103, p_features_17_branch0_bn_weight, p_features_17_branch0_bn_bias, b_features_17_branch0_bn_running_mean, b_features_17_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8075910Z call_function aten__native_batch_norm_legit_no_training_default_104 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_104, p_features_17_branch1_0_bn_weight, p_features_17_branch1_0_bn_bias, b_features_17_branch1_0_bn_running_mean, b_features_17_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8076990Z call_function aten__native_batch_norm_legit_no_training_default_105 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_105, p_features_17_branch2_0_bn_weight, p_features_17_branch2_0_bn_bias, b_features_17_branch2_0_bn_running_mean, b_features_17_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8077870Z call_function aten_convolution_default_106 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_10, p_features_17_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8078310Z call_function getitem_106 (aten__native_batch_norm_legit_no_training_default_103, 0) {} 2025-06-05T19:06:23.8078730Z call_function getitem_107 (aten__native_batch_norm_legit_no_training_default_104, 0) {} 2025-06-05T19:06:23.8079110Z call_function getitem_108 (aten__native_batch_norm_legit_no_training_default_105, 0) {} 2025-06-05T19:06:23.8080200Z call_function aten__native_batch_norm_legit_no_training_default_106 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_106, p_features_17_branch3_1_bn_weight, p_features_17_branch3_1_bn_bias, b_features_17_branch3_1_bn_running_mean, b_features_17_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8080610Z call_function aten_relu_default_103 : schema = aten::relu(Tensor self) -> Tensor (getitem_106,) {} 2025-06-05T19:06:23.8081070Z call_function aten_relu_default_104 : schema = aten::relu(Tensor self) -> Tensor (getitem_107,) {} 2025-06-05T19:06:23.8081490Z call_function aten_relu_default_105 : schema = aten::relu(Tensor self) -> Tensor (getitem_108,) {} 2025-06-05T19:06:23.8081990Z call_function getitem_109 (aten__native_batch_norm_legit_no_training_default_106, 0) {} 2025-06-05T19:06:23.8082910Z call_function aten_convolution_default_107 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_104, p_features_17_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8083790Z call_function aten_convolution_default_108 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_105, p_features_17_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8084210Z call_function aten_relu_default_106 : schema = aten::relu(Tensor self) -> Tensor (getitem_109,) {} 2025-06-05T19:06:23.8085290Z call_function aten__native_batch_norm_legit_no_training_default_107 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_107, p_features_17_branch1_1_bn_weight, p_features_17_branch1_1_bn_bias, b_features_17_branch1_1_bn_running_mean, b_features_17_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8086410Z call_function aten__native_batch_norm_legit_no_training_default_108 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_108, p_features_17_branch2_1_bn_weight, p_features_17_branch2_1_bn_bias, b_features_17_branch2_1_bn_running_mean, b_features_17_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8086800Z call_function getitem_110 (aten__native_batch_norm_legit_no_training_default_107, 0) {} 2025-06-05T19:06:23.8087230Z call_function getitem_111 (aten__native_batch_norm_legit_no_training_default_108, 0) {} 2025-06-05T19:06:23.8087720Z call_function aten_relu_default_107 : schema = aten::relu(Tensor self) -> Tensor (getitem_110,) {} 2025-06-05T19:06:23.8088140Z call_function aten_relu_default_108 : schema = aten::relu(Tensor self) -> Tensor (getitem_111,) {} 2025-06-05T19:06:23.8089000Z call_function aten_convolution_default_109 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_107, p_features_17_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8089860Z call_function aten_convolution_default_110 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_108, p_features_17_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8091010Z call_function aten__native_batch_norm_legit_no_training_default_109 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_109, p_features_17_branch1_2_bn_weight, p_features_17_branch1_2_bn_bias, b_features_17_branch1_2_bn_running_mean, b_features_17_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8092090Z call_function aten__native_batch_norm_legit_no_training_default_110 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_110, p_features_17_branch2_2_bn_weight, p_features_17_branch2_2_bn_bias, b_features_17_branch2_2_bn_running_mean, b_features_17_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8092480Z call_function getitem_112 (aten__native_batch_norm_legit_no_training_default_109, 0) {} 2025-06-05T19:06:23.8092900Z call_function getitem_113 (aten__native_batch_norm_legit_no_training_default_110, 0) {} 2025-06-05T19:06:23.8093370Z call_function aten_relu_default_109 : schema = aten::relu(Tensor self) -> Tensor (getitem_112,) {} 2025-06-05T19:06:23.8093780Z call_function aten_relu_default_110 : schema = aten::relu(Tensor self) -> Tensor (getitem_113,) {} 2025-06-05T19:06:23.8094650Z call_function aten_convolution_default_111 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_110, p_features_17_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8095780Z call_function aten__native_batch_norm_legit_no_training_default_111 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_111, p_features_17_branch2_3_bn_weight, p_features_17_branch2_3_bn_bias, b_features_17_branch2_3_bn_running_mean, b_features_17_branch2_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8096170Z call_function getitem_114 (aten__native_batch_norm_legit_no_training_default_111, 0) {} 2025-06-05T19:06:23.8096580Z call_function aten_relu_default_111 : schema = aten::relu(Tensor self) -> Tensor (getitem_114,) {} 2025-06-05T19:06:23.8097480Z call_function aten_convolution_default_112 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_111, p_features_17_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8098570Z call_function aten__native_batch_norm_legit_no_training_default_112 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_112, p_features_17_branch2_4_bn_weight, p_features_17_branch2_4_bn_bias, b_features_17_branch2_4_bn_running_mean, b_features_17_branch2_4_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8098960Z call_function getitem_115 (aten__native_batch_norm_legit_no_training_default_112, 0) {} 2025-06-05T19:06:23.8099370Z call_function aten_relu_default_112 : schema = aten::relu(Tensor self) -> Tensor (getitem_115,) {} 2025-06-05T19:06:23.8099940Z call_function aten_cat_default_14 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_103, aten_relu_default_109, aten_relu_default_112, aten_relu_default_106], 1) {} 2025-06-05T19:06:23.8100860Z call_function aten_convolution_default_113 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_14, p_features_18_branch0_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8101720Z call_function aten_convolution_default_114 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_14, p_features_18_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8102470Z call_function aten_max_pool2d_with_indices_default_3 : schema = aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) (aten_cat_default_14, [3, 3], [2, 2]) {} 2025-06-05T19:06:23.8103620Z call_function aten__native_batch_norm_legit_no_training_default_113 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_113, p_features_18_branch0_0_bn_weight, p_features_18_branch0_0_bn_bias, b_features_18_branch0_0_bn_running_mean, b_features_18_branch0_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8104710Z call_function aten__native_batch_norm_legit_no_training_default_114 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_114, p_features_18_branch1_0_bn_weight, p_features_18_branch1_0_bn_bias, b_features_18_branch1_0_bn_running_mean, b_features_18_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8105060Z call_function getitem_116 (aten_max_pool2d_with_indices_default_3, 0) {} 2025-06-05T19:06:23.8105440Z call_function getitem_117 (aten__native_batch_norm_legit_no_training_default_113, 0) {} 2025-06-05T19:06:23.8105860Z call_function getitem_118 (aten__native_batch_norm_legit_no_training_default_114, 0) {} 2025-06-05T19:06:23.8106290Z call_function aten_relu_default_113 : schema = aten::relu(Tensor self) -> Tensor (getitem_117,) {} 2025-06-05T19:06:23.8106700Z call_function aten_relu_default_114 : schema = aten::relu(Tensor self) -> Tensor (getitem_118,) {} 2025-06-05T19:06:23.8107610Z call_function aten_convolution_default_115 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_113, p_features_18_branch0_1_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8108500Z call_function aten_convolution_default_116 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_114, p_features_18_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8109580Z call_function aten__native_batch_norm_legit_no_training_default_115 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_115, p_features_18_branch0_1_bn_weight, p_features_18_branch0_1_bn_bias, b_features_18_branch0_1_bn_running_mean, b_features_18_branch0_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8110650Z call_function aten__native_batch_norm_legit_no_training_default_116 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_116, p_features_18_branch1_1_bn_weight, p_features_18_branch1_1_bn_bias, b_features_18_branch1_1_bn_running_mean, b_features_18_branch1_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8111090Z call_function getitem_119 (aten__native_batch_norm_legit_no_training_default_115, 0) {} 2025-06-05T19:06:23.8111480Z call_function getitem_120 (aten__native_batch_norm_legit_no_training_default_116, 0) {} 2025-06-05T19:06:23.8111890Z call_function aten_relu_default_115 : schema = aten::relu(Tensor self) -> Tensor (getitem_119,) {} 2025-06-05T19:06:23.8112360Z call_function aten_relu_default_116 : schema = aten::relu(Tensor self) -> Tensor (getitem_120,) {} 2025-06-05T19:06:23.8113250Z call_function aten_convolution_default_117 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_116, p_features_18_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8114330Z call_function aten__native_batch_norm_legit_no_training_default_117 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_117, p_features_18_branch1_2_bn_weight, p_features_18_branch1_2_bn_bias, b_features_18_branch1_2_bn_running_mean, b_features_18_branch1_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8114710Z call_function getitem_121 (aten__native_batch_norm_legit_no_training_default_117, 0) {} 2025-06-05T19:06:23.8115130Z call_function aten_relu_default_117 : schema = aten::relu(Tensor self) -> Tensor (getitem_121,) {} 2025-06-05T19:06:23.8116050Z call_function aten_convolution_default_118 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_117, p_features_18_branch1_3_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8117140Z call_function aten__native_batch_norm_legit_no_training_default_118 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_118, p_features_18_branch1_3_bn_weight, p_features_18_branch1_3_bn_bias, b_features_18_branch1_3_bn_running_mean, b_features_18_branch1_3_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8117530Z call_function getitem_122 (aten__native_batch_norm_legit_no_training_default_118, 0) {} 2025-06-05T19:06:23.8117980Z call_function aten_relu_default_118 : schema = aten::relu(Tensor self) -> Tensor (getitem_122,) {} 2025-06-05T19:06:23.8118500Z call_function aten_cat_default_15 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_115, aten_relu_default_118, getitem_116], 1) {} 2025-06-05T19:06:23.8119360Z call_function aten_convolution_default_119 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_15, p_features_19_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8120220Z call_function aten_convolution_default_120 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_15, p_features_19_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8121130Z call_function aten_convolution_default_121 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_15, p_features_19_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8121870Z call_function aten_avg_pool2d_default_11 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_15, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8122990Z call_function aten__native_batch_norm_legit_no_training_default_119 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_119, p_features_19_branch0_bn_weight, p_features_19_branch0_bn_bias, b_features_19_branch0_bn_running_mean, b_features_19_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8124110Z call_function aten__native_batch_norm_legit_no_training_default_120 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_120, p_features_19_branch1_0_bn_weight, p_features_19_branch1_0_bn_bias, b_features_19_branch1_0_bn_running_mean, b_features_19_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8125240Z call_function aten__native_batch_norm_legit_no_training_default_121 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_121, p_features_19_branch2_0_bn_weight, p_features_19_branch2_0_bn_bias, b_features_19_branch2_0_bn_running_mean, b_features_19_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8126130Z call_function aten_convolution_default_122 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_11, p_features_19_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8126510Z call_function getitem_123 (aten__native_batch_norm_legit_no_training_default_119, 0) {} 2025-06-05T19:06:23.8126940Z call_function getitem_124 (aten__native_batch_norm_legit_no_training_default_120, 0) {} 2025-06-05T19:06:23.8127320Z call_function getitem_125 (aten__native_batch_norm_legit_no_training_default_121, 0) {} 2025-06-05T19:06:23.8128410Z call_function aten__native_batch_norm_legit_no_training_default_122 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_122, p_features_19_branch3_1_bn_weight, p_features_19_branch3_1_bn_bias, b_features_19_branch3_1_bn_running_mean, b_features_19_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8128880Z call_function aten_relu_default_119 : schema = aten::relu(Tensor self) -> Tensor (getitem_123,) {} 2025-06-05T19:06:23.8129310Z call_function aten_relu_default_120 : schema = aten::relu(Tensor self) -> Tensor (getitem_124,) {} 2025-06-05T19:06:23.8129720Z call_function aten_relu_default_121 : schema = aten::relu(Tensor self) -> Tensor (getitem_125,) {} 2025-06-05T19:06:23.8130110Z call_function getitem_126 (aten__native_batch_norm_legit_no_training_default_122, 0) {} 2025-06-05T19:06:23.8130970Z call_function aten_convolution_default_123 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_120, p_features_19_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8131900Z call_function aten_convolution_default_124 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_120, p_features_19_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8132770Z call_function aten_convolution_default_125 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_121, p_features_19_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8133240Z call_function aten_relu_default_122 : schema = aten::relu(Tensor self) -> Tensor (getitem_126,) {} 2025-06-05T19:06:23.8134340Z call_function aten__native_batch_norm_legit_no_training_default_123 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_123, p_features_19_branch1_1a_bn_weight, p_features_19_branch1_1a_bn_bias, b_features_19_branch1_1a_bn_running_mean, b_features_19_branch1_1a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8135430Z call_function aten__native_batch_norm_legit_no_training_default_124 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_124, p_features_19_branch1_1b_bn_weight, p_features_19_branch1_1b_bn_bias, b_features_19_branch1_1b_bn_running_mean, b_features_19_branch1_1b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8136510Z call_function aten__native_batch_norm_legit_no_training_default_125 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_125, p_features_19_branch2_1_bn_weight, p_features_19_branch2_1_bn_bias, b_features_19_branch2_1_bn_running_mean, b_features_19_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8136890Z call_function getitem_127 (aten__native_batch_norm_legit_no_training_default_123, 0) {} 2025-06-05T19:06:23.8137320Z call_function getitem_128 (aten__native_batch_norm_legit_no_training_default_124, 0) {} 2025-06-05T19:06:23.8137710Z call_function getitem_129 (aten__native_batch_norm_legit_no_training_default_125, 0) {} 2025-06-05T19:06:23.8138140Z call_function aten_relu_default_123 : schema = aten::relu(Tensor self) -> Tensor (getitem_127,) {} 2025-06-05T19:06:23.8138600Z call_function aten_relu_default_124 : schema = aten::relu(Tensor self) -> Tensor (getitem_128,) {} 2025-06-05T19:06:23.8139010Z call_function aten_relu_default_125 : schema = aten::relu(Tensor self) -> Tensor (getitem_129,) {} 2025-06-05T19:06:23.8139500Z call_function aten_cat_default_16 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_123, aten_relu_default_124], 1) {} 2025-06-05T19:06:23.8140380Z call_function aten_convolution_default_126 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_125, p_features_19_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8141520Z call_function aten__native_batch_norm_legit_no_training_default_126 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_126, p_features_19_branch2_2_bn_weight, p_features_19_branch2_2_bn_bias, b_features_19_branch2_2_bn_running_mean, b_features_19_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8141910Z call_function getitem_130 (aten__native_batch_norm_legit_no_training_default_126, 0) {} 2025-06-05T19:06:23.8142320Z call_function aten_relu_default_126 : schema = aten::relu(Tensor self) -> Tensor (getitem_130,) {} 2025-06-05T19:06:23.8143260Z call_function aten_convolution_default_127 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_126, p_features_19_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8144150Z call_function aten_convolution_default_128 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_126, p_features_19_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8145240Z call_function aten__native_batch_norm_legit_no_training_default_127 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_127, p_features_19_branch2_3a_bn_weight, p_features_19_branch2_3a_bn_bias, b_features_19_branch2_3a_bn_running_mean, b_features_19_branch2_3a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8146320Z call_function aten__native_batch_norm_legit_no_training_default_128 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_128, p_features_19_branch2_3b_bn_weight, p_features_19_branch2_3b_bn_bias, b_features_19_branch2_3b_bn_running_mean, b_features_19_branch2_3b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8146750Z call_function getitem_131 (aten__native_batch_norm_legit_no_training_default_127, 0) {} 2025-06-05T19:06:23.8147130Z call_function getitem_132 (aten__native_batch_norm_legit_no_training_default_128, 0) {} 2025-06-05T19:06:23.8147550Z call_function aten_relu_default_127 : schema = aten::relu(Tensor self) -> Tensor (getitem_131,) {} 2025-06-05T19:06:23.8148000Z call_function aten_relu_default_128 : schema = aten::relu(Tensor self) -> Tensor (getitem_132,) {} 2025-06-05T19:06:23.8148510Z call_function aten_cat_default_17 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_127, aten_relu_default_128], 1) {} 2025-06-05T19:06:23.8149070Z call_function aten_cat_default_18 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_119, aten_cat_default_16, aten_cat_default_17, aten_relu_default_122], 1) {} 2025-06-05T19:06:23.8149930Z call_function aten_convolution_default_129 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_18, p_features_20_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8150800Z call_function aten_convolution_default_130 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_18, p_features_20_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8151720Z call_function aten_convolution_default_131 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_18, p_features_20_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8152460Z call_function aten_avg_pool2d_default_12 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_18, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8153570Z call_function aten__native_batch_norm_legit_no_training_default_129 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_129, p_features_20_branch0_bn_weight, p_features_20_branch0_bn_bias, b_features_20_branch0_bn_running_mean, b_features_20_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8154710Z call_function aten__native_batch_norm_legit_no_training_default_130 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_130, p_features_20_branch1_0_bn_weight, p_features_20_branch1_0_bn_bias, b_features_20_branch1_0_bn_running_mean, b_features_20_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8155790Z call_function aten__native_batch_norm_legit_no_training_default_131 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_131, p_features_20_branch2_0_bn_weight, p_features_20_branch2_0_bn_bias, b_features_20_branch2_0_bn_running_mean, b_features_20_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8156670Z call_function aten_convolution_default_132 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_12, p_features_20_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8157050Z call_function getitem_133 (aten__native_batch_norm_legit_no_training_default_129, 0) {} 2025-06-05T19:06:23.8157490Z call_function getitem_134 (aten__native_batch_norm_legit_no_training_default_130, 0) {} 2025-06-05T19:06:23.8157870Z call_function getitem_135 (aten__native_batch_norm_legit_no_training_default_131, 0) {} 2025-06-05T19:06:23.8158950Z call_function aten__native_batch_norm_legit_no_training_default_132 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_132, p_features_20_branch3_1_bn_weight, p_features_20_branch3_1_bn_bias, b_features_20_branch3_1_bn_running_mean, b_features_20_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8159400Z call_function aten_relu_default_129 : schema = aten::relu(Tensor self) -> Tensor (getitem_133,) {} 2025-06-05T19:06:23.8159830Z call_function aten_relu_default_130 : schema = aten::relu(Tensor self) -> Tensor (getitem_134,) {} 2025-06-05T19:06:23.8160250Z call_function aten_relu_default_131 : schema = aten::relu(Tensor self) -> Tensor (getitem_135,) {} 2025-06-05T19:06:23.8160630Z call_function getitem_136 (aten__native_batch_norm_legit_no_training_default_132, 0) {} 2025-06-05T19:06:23.8161550Z call_function aten_convolution_default_133 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_130, p_features_20_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8162420Z call_function aten_convolution_default_134 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_130, p_features_20_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8163280Z call_function aten_convolution_default_135 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_131, p_features_20_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8163750Z call_function aten_relu_default_132 : schema = aten::relu(Tensor self) -> Tensor (getitem_136,) {} 2025-06-05T19:06:23.8164870Z call_function aten__native_batch_norm_legit_no_training_default_133 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_133, p_features_20_branch1_1a_bn_weight, p_features_20_branch1_1a_bn_bias, b_features_20_branch1_1a_bn_running_mean, b_features_20_branch1_1a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8165940Z call_function aten__native_batch_norm_legit_no_training_default_134 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_134, p_features_20_branch1_1b_bn_weight, p_features_20_branch1_1b_bn_bias, b_features_20_branch1_1b_bn_running_mean, b_features_20_branch1_1b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8167020Z call_function aten__native_batch_norm_legit_no_training_default_135 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_135, p_features_20_branch2_1_bn_weight, p_features_20_branch2_1_bn_bias, b_features_20_branch2_1_bn_running_mean, b_features_20_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8167410Z call_function getitem_137 (aten__native_batch_norm_legit_no_training_default_133, 0) {} 2025-06-05T19:06:23.8167830Z call_function getitem_138 (aten__native_batch_norm_legit_no_training_default_134, 0) {} 2025-06-05T19:06:23.8168210Z call_function getitem_139 (aten__native_batch_norm_legit_no_training_default_135, 0) {} 2025-06-05T19:06:23.8168660Z call_function aten_relu_default_133 : schema = aten::relu(Tensor self) -> Tensor (getitem_137,) {} 2025-06-05T19:06:23.8169120Z call_function aten_relu_default_134 : schema = aten::relu(Tensor self) -> Tensor (getitem_138,) {} 2025-06-05T19:06:23.8169530Z call_function aten_relu_default_135 : schema = aten::relu(Tensor self) -> Tensor (getitem_139,) {} 2025-06-05T19:06:23.8170020Z call_function aten_cat_default_19 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_133, aten_relu_default_134], 1) {} 2025-06-05T19:06:23.8170890Z call_function aten_convolution_default_136 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_135, p_features_20_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8172040Z call_function aten__native_batch_norm_legit_no_training_default_136 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_136, p_features_20_branch2_2_bn_weight, p_features_20_branch2_2_bn_bias, b_features_20_branch2_2_bn_running_mean, b_features_20_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8172420Z call_function getitem_140 (aten__native_batch_norm_legit_no_training_default_136, 0) {} 2025-06-05T19:06:23.8172840Z call_function aten_relu_default_136 : schema = aten::relu(Tensor self) -> Tensor (getitem_140,) {} 2025-06-05T19:06:23.8173750Z call_function aten_convolution_default_137 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_136, p_features_20_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8174640Z call_function aten_convolution_default_138 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_136, p_features_20_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8175720Z call_function aten__native_batch_norm_legit_no_training_default_137 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_137, p_features_20_branch2_3a_bn_weight, p_features_20_branch2_3a_bn_bias, b_features_20_branch2_3a_bn_running_mean, b_features_20_branch2_3a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8176790Z call_function aten__native_batch_norm_legit_no_training_default_138 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_138, p_features_20_branch2_3b_bn_weight, p_features_20_branch2_3b_bn_bias, b_features_20_branch2_3b_bn_running_mean, b_features_20_branch2_3b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8177240Z call_function getitem_141 (aten__native_batch_norm_legit_no_training_default_137, 0) {} 2025-06-05T19:06:23.8177620Z call_function getitem_142 (aten__native_batch_norm_legit_no_training_default_138, 0) {} 2025-06-05T19:06:23.8178040Z call_function aten_relu_default_137 : schema = aten::relu(Tensor self) -> Tensor (getitem_141,) {} 2025-06-05T19:06:23.8178490Z call_function aten_relu_default_138 : schema = aten::relu(Tensor self) -> Tensor (getitem_142,) {} 2025-06-05T19:06:23.8179000Z call_function aten_cat_default_20 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_137, aten_relu_default_138], 1) {} 2025-06-05T19:06:23.8179560Z call_function aten_cat_default_21 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_129, aten_cat_default_19, aten_cat_default_20, aten_relu_default_132], 1) {} 2025-06-05T19:06:23.8180430Z call_function aten_convolution_default_139 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_21, p_features_21_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8181290Z call_function aten_convolution_default_140 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_21, p_features_21_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8182230Z call_function aten_convolution_default_141 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_cat_default_21, p_features_21_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8182980Z call_function aten_avg_pool2d_default_13 : schema = aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor (aten_cat_default_21, [3, 3], [1, 1], [1, 1], False, False) {} 2025-06-05T19:06:23.8184370Z call_function aten__native_batch_norm_legit_no_training_default_139 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_139, p_features_21_branch0_bn_weight, p_features_21_branch0_bn_bias, b_features_21_branch0_bn_running_mean, b_features_21_branch0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8185530Z call_function aten__native_batch_norm_legit_no_training_default_140 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_140, p_features_21_branch1_0_bn_weight, p_features_21_branch1_0_bn_bias, b_features_21_branch1_0_bn_running_mean, b_features_21_branch1_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8186610Z call_function aten__native_batch_norm_legit_no_training_default_141 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_141, p_features_21_branch2_0_bn_weight, p_features_21_branch2_0_bn_bias, b_features_21_branch2_0_bn_running_mean, b_features_21_branch2_0_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8187500Z call_function aten_convolution_default_142 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_avg_pool2d_default_13, p_features_21_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8187890Z call_function getitem_143 (aten__native_batch_norm_legit_no_training_default_139, 0) {} 2025-06-05T19:06:23.8188390Z call_function getitem_144 (aten__native_batch_norm_legit_no_training_default_140, 0) {} 2025-06-05T19:06:23.8188780Z call_function getitem_145 (aten__native_batch_norm_legit_no_training_default_141, 0) {} 2025-06-05T19:06:23.8189900Z call_function aten__native_batch_norm_legit_no_training_default_142 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_142, p_features_21_branch3_1_bn_weight, p_features_21_branch3_1_bn_bias, b_features_21_branch3_1_bn_running_mean, b_features_21_branch3_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8190400Z call_function aten_relu_default_139 : schema = aten::relu(Tensor self) -> Tensor (getitem_143,) {} 2025-06-05T19:06:23.8190820Z call_function aten_relu_default_140 : schema = aten::relu(Tensor self) -> Tensor (getitem_144,) {} 2025-06-05T19:06:23.8191240Z call_function aten_relu_default_141 : schema = aten::relu(Tensor self) -> Tensor (getitem_145,) {} 2025-06-05T19:06:23.8191660Z call_function getitem_146 (aten__native_batch_norm_legit_no_training_default_142, 0) {} 2025-06-05T19:06:23.8192600Z call_function aten_convolution_default_143 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_140, p_features_21_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8193480Z call_function aten_convolution_default_144 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_140, p_features_21_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8194370Z call_function aten_convolution_default_145 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_141, p_features_21_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8194870Z call_function aten_relu_default_142 : schema = aten::relu(Tensor self) -> Tensor (getitem_146,) {} 2025-06-05T19:06:23.8196030Z call_function aten__native_batch_norm_legit_no_training_default_143 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_143, p_features_21_branch1_1a_bn_weight, p_features_21_branch1_1a_bn_bias, b_features_21_branch1_1a_bn_running_mean, b_features_21_branch1_1a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8197150Z call_function aten__native_batch_norm_legit_no_training_default_144 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_144, p_features_21_branch1_1b_bn_weight, p_features_21_branch1_1b_bn_bias, b_features_21_branch1_1b_bn_running_mean, b_features_21_branch1_1b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8198290Z call_function aten__native_batch_norm_legit_no_training_default_145 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_145, p_features_21_branch2_1_bn_weight, p_features_21_branch2_1_bn_bias, b_features_21_branch2_1_bn_running_mean, b_features_21_branch2_1_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8198770Z call_function getitem_147 (aten__native_batch_norm_legit_no_training_default_143, 0) {} 2025-06-05T19:06:23.8199190Z call_function getitem_148 (aten__native_batch_norm_legit_no_training_default_144, 0) {} 2025-06-05T19:06:23.8247380Z call_function getitem_149 (aten__native_batch_norm_legit_no_training_default_145, 0) {} 2025-06-05T19:06:23.8248000Z call_function aten_relu_default_143 : schema = aten::relu(Tensor self) -> Tensor (getitem_147,) {} 2025-06-05T19:06:23.8248460Z call_function aten_relu_default_144 : schema = aten::relu(Tensor self) -> Tensor (getitem_148,) {} 2025-06-05T19:06:23.8248900Z call_function aten_relu_default_145 : schema = aten::relu(Tensor self) -> Tensor (getitem_149,) {} 2025-06-05T19:06:23.8249410Z call_function aten_cat_default_22 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_143, aten_relu_default_144], 1) {} 2025-06-05T19:06:23.8250330Z call_function aten_convolution_default_146 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_145, p_features_21_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8251610Z call_function aten__native_batch_norm_legit_no_training_default_146 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_146, p_features_21_branch2_2_bn_weight, p_features_21_branch2_2_bn_bias, b_features_21_branch2_2_bn_running_mean, b_features_21_branch2_2_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8252020Z call_function getitem_150 (aten__native_batch_norm_legit_no_training_default_146, 0) {} 2025-06-05T19:06:23.8252510Z call_function aten_relu_default_146 : schema = aten::relu(Tensor self) -> Tensor (getitem_150,) {} 2025-06-05T19:06:23.8253490Z call_function aten_convolution_default_147 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_146, p_features_21_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8254400Z call_function aten_convolution_default_148 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_146, p_features_21_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:06:23.8255530Z call_function aten__native_batch_norm_legit_no_training_default_147 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_147, p_features_21_branch2_3a_bn_weight, p_features_21_branch2_3a_bn_bias, b_features_21_branch2_3a_bn_running_mean, b_features_21_branch2_3a_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8256660Z call_function aten__native_batch_norm_legit_no_training_default_148 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_148, p_features_21_branch2_3b_bn_weight, p_features_21_branch2_3b_bn_bias, b_features_21_branch2_3b_bn_running_mean, b_features_21_branch2_3b_bn_running_var, 0.1, 0.001) {} 2025-06-05T19:06:23.8257130Z call_function getitem_151 (aten__native_batch_norm_legit_no_training_default_147, 0) {} 2025-06-05T19:06:23.8257540Z call_function getitem_152 (aten__native_batch_norm_legit_no_training_default_148, 0) {} 2025-06-05T19:06:23.8257970Z call_function aten_relu_default_147 : schema = aten::relu(Tensor self) -> Tensor (getitem_151,) {} 2025-06-05T19:06:23.8313340Z call_function aten_relu_default_148 : schema = aten::relu(Tensor self) -> Tensor (getitem_152,) {} 2025-06-05T19:06:23.8313920Z call_function aten_cat_default_23 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_147, aten_relu_default_148], 1) {} 2025-06-05T19:06:23.8314510Z call_function aten_cat_default_24 : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_relu_default_139, aten_cat_default_22, aten_cat_default_23, aten_relu_default_142], 1) {} 2025-06-05T19:06:23.8315070Z call_function aten_mean_dim : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_cat_default_24, [-1, -2], True) {} 2025-06-05T19:06:23.8315680Z call_function aten_view_copy_default : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_mean_dim, [1, 1536]) {} 2025-06-05T19:06:23.8316230Z call_function aten_clone_default : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default,) {} 2025-06-05T19:06:23.8316890Z call_function aten_addmm_default : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_last_linear_bias, aten_clone_default, aten_permute_copy_default) {} 2025-06-05T19:06:23.8317360Z output output output ([aten_addmm_default],) {}[DEBUG 2025-06-05 19:06:23,818 node_visitor.py:97] Serializing: x, data type: torch.float32, dims: [1, 3, 299, 299] 2025-06-05T19:06:23.8317610Z [INFO 2025-06-05 19:06:23,818 mps_preprocess.py:193] Visiting: aten_convolution_default, aten.convolution.default 2025-06-05T19:06:23.8317860Z [DEBUG 2025-06-05 19:06:23,818 node_visitor.py:97] Serializing: p_features_0_conv_weight, data type: torch.float32, dims: [32, 3, 3, 3] 2025-06-05T19:06:23.8318120Z [DEBUG 2025-06-05 19:06:23,818 node_visitor.py:97] Serializing: aten_convolution_default, data type: torch.float32, dims: [1, 32, 149, 149] 2025-06-05T19:06:23.8318330Z [INFO 2025-06-05 19:06:23,818 mps_preprocess.py:193] Visiting: aten_permute_copy_default, aten.permute_copy.default 2025-06-05T19:06:23.8318570Z [DEBUG 2025-06-05 19:06:23,820 node_visitor.py:97] Serializing: p_last_linear_weight, data type: torch.float32, dims: [1000, 1536] 2025-06-05T19:06:23.8318810Z [DEBUG 2025-06-05 19:06:23,820 node_visitor.py:97] Serializing: aten_permute_copy_default, data type: torch.float32, dims: [1536, 1000] 2025-06-05T19:06:23.8319130Z [INFO 2025-06-05 19:06:23,820 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:06:23.8319360Z [DEBUG 2025-06-05 19:06:23,820 node_visitor.py:97] Serializing: p_features_0_bn_weight, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8319580Z [DEBUG 2025-06-05 19:06:23,821 node_visitor.py:97] Serializing: p_features_0_bn_bias, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8319810Z [DEBUG 2025-06-05 19:06:23,821 node_visitor.py:97] Serializing: b_features_0_bn_running_mean, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8320040Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:97] Serializing: b_features_0_bn_running_var, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8320360Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [1, 32, 149, 149] 2025-06-05T19:06:23.8320900Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 32, 149, 149], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8321190Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [0] 2025-06-05T19:06:23.8321650Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8321940Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [0] 2025-06-05T19:06:23.8322390Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8322550Z [INFO 2025-06-05 19:06:23,822 mps_preprocess.py:193] Visiting: getitem, getitem 2025-06-05T19:06:23.8322720Z [INFO 2025-06-05 19:06:23,822 mps_preprocess.py:193] Visiting: aten_relu_default, aten.relu.default 2025-06-05T19:06:23.8322960Z [DEBUG 2025-06-05 19:06:23,822 node_visitor.py:97] Serializing: aten_relu_default, data type: torch.float32, dims: [1, 32, 149, 149] 2025-06-05T19:06:23.8323180Z [INFO 2025-06-05 19:06:23,822 mps_preprocess.py:193] Visiting: aten_convolution_default_1, aten.convolution.default 2025-06-05T19:06:23.8323440Z [DEBUG 2025-06-05 19:06:23,823 node_visitor.py:97] Serializing: p_features_1_conv_weight, data type: torch.float32, dims: [32, 32, 3, 3] 2025-06-05T19:06:23.8323720Z [DEBUG 2025-06-05 19:06:23,823 node_visitor.py:97] Serializing: aten_convolution_default_1, data type: torch.float32, dims: [1, 32, 147, 147] 2025-06-05T19:06:23.8324040Z [INFO 2025-06-05 19:06:23,823 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_1, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:06:23.8324270Z [DEBUG 2025-06-05 19:06:23,823 node_visitor.py:97] Serializing: p_features_1_bn_weight, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8324480Z [DEBUG 2025-06-05 19:06:23,824 node_visitor.py:97] Serializing: p_features_1_bn_bias, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8324720Z [DEBUG 2025-06-05 19:06:23,824 node_visitor.py:97] Serializing: b_features_1_bn_running_mean, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8407190Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:97] Serializing: b_features_1_bn_running_var, data type: torch.float32, dims: [32] 2025-06-05T19:06:23.8407540Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [1, 32, 147, 147] 2025-06-05T19:06:23.8408020Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 32, 147, 147], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8408310Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [0] 2025-06-05T19:06:23.8408770Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8409060Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [0] 2025-06-05T19:06:23.8409510Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:23.8409650Z [INFO 2025-06-05 19:06:23,825 mps_preprocess.py:193] Visiting: getitem_1, getitem 2025-06-05T19:06:23.8409940Z [INFO 2025-06-05 19:06:23,825 mps_preprocess.py:193] Visiting: aten_relu_default_1, aten.relu.default 2025-06-05T19:06:23.8410190Z [DEBUG 2025-06-05 19:06:23,825 node_visitor.py:97] Serializing: aten_relu_default_1, data type: torch.float32, dims: [1, 32, 147, 147] 2025-06-05T19:06:23.8410400Z [INFO 2025-06-05 19:06:23,825 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aten.convolution.default 2025-06-05T19:06:23.8830990Z [DEBUG 2025-06-05 19:06:23,867 node_visitor.py:97] Serializing: p_features_6_branch2_2_conv_weight, data type: torch.float32, dims: [96, 96, 3, 3] 2025-06-05T19:06:23.8831580Z [DEBUG 2025-06-05 19:06:23,868 node_visitor.py:97] Serializing: aten_convolution_default_17, data type: torch.float32, dims: [1, 96, 35, 35] 2025-06-05T19:06:23.8832220Z [INFO 2025-06-05 19:06:23,868 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_17, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:06:23.8832850Z [DEBUG 2025-06-05 19:06:23,868 node_visitor.py:97] Serializing: p_features_6_branch2_2_bn_weight, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8833390Z [DEBUG 2025-06-05 19:06:23,868 node_visitor.py:97] Serializing: p_features_6_branch2_2_bn_bias, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8833950Z [DEBUG 2025-06-05 19:06:23,869 node_visitor.py:97] Serializing: 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Visiting: aten_cat_default_3, aten.cat.default 2025-06-05T19:06:23.8841790Z [DEBUG 2025-06-05 19:06:23,870 node_visitor.py:97] Serializing: aten_cat_default_3, data type: torch.float32, dims: [1, 384, 35, 35] 2025-06-05T19:06:23.8842330Z [INFO 2025-06-05 19:06:23,870 mps_preprocess.py:193] Visiting: aten_convolution_default_18, aten.convolution.default 2025-06-05T19:06:23.8842870Z [DEBUG 2025-06-05 19:06:23,870 node_visitor.py:97] Serializing: p_features_7_branch0_conv_weight, data type: torch.float32, dims: [96, 384, 1, 1] 2025-06-05T19:06:23.8843460Z [DEBUG 2025-06-05 19:06:23,871 node_visitor.py:97] Serializing: aten_convolution_default_18, data type: torch.float32, dims: [1, 96, 35, 35] 2025-06-05T19:06:23.8843990Z [INFO 2025-06-05 19:06:23,871 mps_preprocess.py:193] Visiting: aten_convolution_default_19, aten.convolution.default 2025-06-05T19:06:23.8844580Z [DEBUG 2025-06-05 19:06:23,871 node_visitor.py:97] Serializing: p_features_7_branch1_0_conv_weight, data type: torch.float32, 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2025-06-05T19:06:23.8848530Z [INFO 2025-06-05 19:06:23,872 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_18, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:06:23.8849160Z [DEBUG 2025-06-05 19:06:23,872 node_visitor.py:97] Serializing: p_features_7_branch0_bn_weight, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8849700Z [DEBUG 2025-06-05 19:06:23,873 node_visitor.py:97] Serializing: p_features_7_branch0_bn_bias, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8850260Z [DEBUG 2025-06-05 19:06:23,873 node_visitor.py:97] Serializing: b_features_7_branch0_bn_running_mean, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8850820Z [DEBUG 2025-06-05 19:06:23,874 node_visitor.py:97] Serializing: b_features_7_branch0_bn_running_var, data type: torch.float32, dims: [96] 2025-06-05T19:06:23.8851440Z [DEBUG 2025-06-05 19:06:23,874 node_visitor.py:132] Serializing: [0]: 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Serializing: p_features_14_branch2_0_bn_weight, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.0493810Z [DEBUG 2025-06-05 19:06:24,034 node_visitor.py:97] Serializing: p_features_14_branch2_0_bn_bias, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.0494140Z [DEBUG 2025-06-05 19:06:24,034 node_visitor.py:97] Serializing: b_features_14_branch2_0_bn_running_mean, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.0494400Z [DEBUG 2025-06-05 19:06:24,035 node_visitor.py:97] Serializing: b_features_14_branch2_0_bn_running_var, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.0494720Z [DEBUG 2025-06-05 19:06:24,035 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_75, data type: torch.float32, dims: [1, 192, 17, 17] 2025-06-05T19:06:24.0495180Z [DEBUG 2025-06-05 19:06:24,035 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, 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2025-06-05T19:06:24.1605230Z [DEBUG 2025-06-05 19:06:24,144 node_visitor.py:97] Serializing: p_features_18_branch0_0_bn_weight, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.1605470Z [DEBUG 2025-06-05 19:06:24,144 node_visitor.py:97] Serializing: p_features_18_branch0_0_bn_bias, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.1605730Z [DEBUG 2025-06-05 19:06:24,145 node_visitor.py:97] Serializing: b_features_18_branch0_0_bn_running_mean, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.1605980Z [DEBUG 2025-06-05 19:06:24,145 node_visitor.py:97] Serializing: b_features_18_branch0_0_bn_running_var, data type: torch.float32, dims: [192] 2025-06-05T19:06:24.1606300Z [DEBUG 2025-06-05 19:06:24,145 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_113, data type: torch.float32, dims: [1, 192, 17, 17] 2025-06-05T19:06:24.1606760Z [DEBUG 2025-06-05 19:06:24,145 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, 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Serializing: p_features_20_branch1_1a_bn_bias, data type: torch.float32, dims: [256] 2025-06-05T19:06:24.2152680Z [DEBUG 2025-06-05 19:06:24,205 node_visitor.py:97] Serializing: b_features_20_branch1_1a_bn_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:06:24.2152940Z [DEBUG 2025-06-05 19:06:24,206 node_visitor.py:97] Serializing: b_features_20_branch1_1a_bn_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:06:24.2153260Z [DEBUG 2025-06-05 19:06:24,206 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_133, data type: torch.float32, dims: [1, 256, 8, 8] 2025-06-05T19:06:24.2153720Z [DEBUG 2025-06-05 19:06:24,206 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:24.2154010Z [DEBUG 2025-06-05 19:06:24,206 node_visitor.py:132] Serializing: [1]: 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node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:24.2564740Z [DEBUG 2025-06-05 19:06:24,248 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_148, data type: torch.float32, dims: [0] 2025-06-05T19:06:24.2565190Z [DEBUG 2025-06-05 19:06:24,248 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:24.2565490Z [DEBUG 2025-06-05 19:06:24,248 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_148, data type: torch.float32, dims: [0] 2025-06-05T19:06:24.2565940Z [DEBUG 2025-06-05 19:06:24,248 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:06:24.2566080Z [INFO 2025-06-05 19:06:24,248 mps_preprocess.py:193] Visiting: getitem_151, getitem 2025-06-05T19:06:24.2566220Z [INFO 2025-06-05 19:06:24,248 mps_preprocess.py:193] Visiting: getitem_152, getitem 2025-06-05T19:06:24.2566400Z [INFO 2025-06-05 19:06:24,248 mps_preprocess.py:193] Visiting: aten_relu_default_147, aten.relu.default 2025-06-05T19:06:24.2566640Z [DEBUG 2025-06-05 19:06:24,248 node_visitor.py:97] Serializing: aten_relu_default_147, data type: torch.float32, dims: [1, 256, 8, 8] 2025-06-05T19:06:24.2566820Z [INFO 2025-06-05 19:06:24,248 mps_preprocess.py:193] Visiting: aten_relu_default_148, aten.relu.default 2025-06-05T19:06:24.2567070Z [DEBUG 2025-06-05 19:06:24,249 node_visitor.py:97] Serializing: aten_relu_default_148, data type: torch.float32, dims: [1, 256, 8, 8] 2025-06-05T19:06:24.2567240Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_cat_default_23, aten.cat.default 2025-06-05T19:06:24.2567500Z [DEBUG 2025-06-05 19:06:24,249 node_visitor.py:97] Serializing: aten_cat_default_23, data type: torch.float32, dims: [1, 512, 8, 8] 2025-06-05T19:06:24.2567670Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_cat_default_24, aten.cat.default 2025-06-05T19:06:24.2567910Z [DEBUG 2025-06-05 19:06:24,249 node_visitor.py:97] Serializing: aten_cat_default_24, data type: torch.float32, dims: [1, 1536, 8, 8] 2025-06-05T19:06:24.2568070Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_mean_dim, aten.mean.dim 2025-06-05T19:06:24.2568290Z [DEBUG 2025-06-05 19:06:24,249 node_visitor.py:97] Serializing: aten_mean_dim, data type: torch.float32, dims: [1, 1536, 1, 1] 2025-06-05T19:06:24.2568480Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_view_copy_default, aten.view_copy.default 2025-06-05T19:06:24.2568720Z [DEBUG 2025-06-05 19:06:24,249 node_visitor.py:97] Serializing: aten_view_copy_default, data type: torch.float32, dims: [1, 1536] 2025-06-05T19:06:24.2568930Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_clone_default, aten.clone.default 2025-06-05T19:06:24.2569110Z [INFO 2025-06-05 19:06:24,249 mps_preprocess.py:193] Visiting: aten_addmm_default, aten.addmm.default 2025-06-05T19:06:24.2569330Z [DEBUG 2025-06-05 19:06:24,250 node_visitor.py:97] Serializing: p_last_linear_bias, data type: torch.float32, dims: [1000] 2025-06-05T19:06:24.2569550Z [DEBUG 2025-06-05 19:06:24,250 node_visitor.py:97] Serializing: aten_addmm_default, data type: torch.float32, dims: [1, 1000] 2025-06-05T19:06:24.2569700Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:06:24.2569830Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:285] Version: 0 2025-06-05T19:06:24.2569940Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:06:24.2570270Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSCast(input1_id=0, output_id=0, dtype=), min_max=None) 2025-06-05T19:06:24.2570820Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSConv2D(input1_id=0, input2_id=1, input3_id=-1, output_id=2, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2571110Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSPermute(input1_id=3, output_id=4, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:06:24.2571550Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=2, mean_id=7, var_id=8, weight_id=5, bias_id=6, momentum=0.1, epsilon=0.001, output1_id=9, output2_id=10, output3_id=11), min_max=None) 2025-06-05T19:06:24.2571780Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSReLU(input1_id=9, output_id=12), min_max=None) 2025-06-05T19:06:24.2572330Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSConv2D(input1_id=12, input2_id=13, input3_id=-1, output_id=14, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2572780Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=14, mean_id=17, var_id=18, weight_id=15, bias_id=16, momentum=0.1, epsilon=0.001, output1_id=19, output2_id=20, output3_id=21), min_max=None) 2025-06-05T19:06:24.2573010Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSReLU(input1_id=19, output_id=22), min_max=None) 2025-06-05T19:06:24.2573550Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSConv2D(input1_id=22, input2_id=23, input3_id=-1, output_id=24, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2574030Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=24, mean_id=27, var_id=28, weight_id=25, bias_id=26, momentum=0.1, epsilon=0.001, output1_id=29, output2_id=30, output3_id=31), min_max=None) 2025-06-05T19:06:24.2574270Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSReLU(input1_id=29, output_id=32), min_max=None) 2025-06-05T19:06:24.2575070Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSMaxPool2DWithIndices(input1_id=32, kernel_height=3, kernel_width=3, stride_height=2, stride_width=2, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=33, output2_id=34, count_include_pad=True, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2575630Z [INFO 2025-06-05 19:06:24,250 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSConv2D(input1_id=32, input2_id=35, input3_id=-1, output_id=36, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2576090Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=36, mean_id=39, var_id=40, weight_id=37, bias_id=38, momentum=0.1, epsilon=0.001, output1_id=41, output2_id=42, output3_id=43), min_max=None) 2025-06-05T19:06:24.2576320Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSReLU(input1_id=41, output_id=44), min_max=None) 2025-06-05T19:06:24.2576620Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSCat(input_ids=[33, 44], output_id=45, dim=1), min_max=None) 2025-06-05T19:06:24.2577170Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSConv2D(input1_id=45, input2_id=46, input3_id=-1, output_id=47, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2577710Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSConv2D(input1_id=45, input2_id=48, input3_id=-1, output_id=49, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2578160Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=47, mean_id=52, var_id=53, weight_id=50, bias_id=51, momentum=0.1, epsilon=0.001, output1_id=54, output2_id=55, output3_id=56), min_max=None) 2025-06-05T19:06:24.2578600Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=49, mean_id=59, var_id=60, weight_id=57, bias_id=58, momentum=0.1, epsilon=0.001, output1_id=61, output2_id=62, output3_id=63), min_max=None) 2025-06-05T19:06:24.2578830Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSReLU(input1_id=54, output_id=64), min_max=None) 2025-06-05T19:06:24.2579070Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSReLU(input1_id=61, output_id=65), min_max=None) 2025-06-05T19:06:24.2579610Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSConv2D(input1_id=64, input2_id=66, input3_id=-1, output_id=67, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2580160Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSConv2D(input1_id=65, input2_id=68, input3_id=-1, output_id=69, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2580610Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=67, mean_id=72, var_id=73, weight_id=70, bias_id=71, momentum=0.1, epsilon=0.001, output1_id=74, output2_id=75, output3_id=76), min_max=None) 2025-06-05T19:06:24.2581050Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=69, mean_id=79, var_id=80, weight_id=77, bias_id=78, momentum=0.1, epsilon=0.001, output1_id=81, output2_id=82, output3_id=83), min_max=None) 2025-06-05T19:06:24.2581280Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSReLU(input1_id=74, output_id=84), min_max=None) 2025-06-05T19:06:24.2581510Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [27]: MPSNode(mpsnode_union=MPSReLU(input1_id=81, output_id=85), min_max=None) 2025-06-05T19:06:24.2582060Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [28]: MPSNode(mpsnode_union=MPSConv2D(input1_id=85, input2_id=86, input3_id=-1, output_id=87, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2582520Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [29]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=87, mean_id=90, var_id=91, weight_id=88, bias_id=89, momentum=0.1, epsilon=0.001, output1_id=92, output2_id=93, output3_id=94), min_max=None) 2025-06-05T19:06:24.2582740Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [30]: MPSNode(mpsnode_union=MPSReLU(input1_id=92, output_id=95), min_max=None) 2025-06-05T19:06:24.2583300Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [31]: MPSNode(mpsnode_union=MPSConv2D(input1_id=95, input2_id=96, input3_id=-1, output_id=97, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2583770Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [32]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=97, mean_id=100, var_id=101, weight_id=98, bias_id=99, momentum=0.1, epsilon=0.001, output1_id=102, output2_id=103, output3_id=104), min_max=None) 2025-06-05T19:06:24.2584010Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [33]: MPSNode(mpsnode_union=MPSReLU(input1_id=102, output_id=105), min_max=None) 2025-06-05T19:06:24.2584270Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [34]: MPSNode(mpsnode_union=MPSCat(input_ids=[84, 105], output_id=106, dim=1), min_max=None) 2025-06-05T19:06:24.2584820Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [35]: MPSNode(mpsnode_union=MPSConv2D(input1_id=106, input2_id=107, input3_id=-1, output_id=108, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2585630Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [36]: MPSNode(mpsnode_union=MPSMaxPool2DWithIndices(input1_id=106, kernel_height=3, kernel_width=3, stride_height=2, stride_width=2, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=109, output2_id=110, count_include_pad=True, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2586090Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [37]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=108, mean_id=113, var_id=114, weight_id=111, bias_id=112, momentum=0.1, epsilon=0.001, output1_id=115, output2_id=116, output3_id=117), min_max=None) 2025-06-05T19:06:24.2586330Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [38]: MPSNode(mpsnode_union=MPSReLU(input1_id=115, output_id=118), min_max=None) 2025-06-05T19:06:24.2586590Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [39]: MPSNode(mpsnode_union=MPSCat(input_ids=[118, 109], output_id=119, dim=1), min_max=None) 2025-06-05T19:06:24.2587150Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [40]: MPSNode(mpsnode_union=MPSConv2D(input1_id=119, input2_id=120, input3_id=-1, output_id=121, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2587730Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [41]: MPSNode(mpsnode_union=MPSConv2D(input1_id=119, input2_id=122, input3_id=-1, output_id=123, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2588290Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [42]: MPSNode(mpsnode_union=MPSConv2D(input1_id=119, input2_id=124, input3_id=-1, output_id=125, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2589070Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [43]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=119, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=126, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2589570Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [44]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=121, mean_id=129, var_id=130, weight_id=127, bias_id=128, momentum=0.1, epsilon=0.001, output1_id=131, output2_id=132, output3_id=133), min_max=None) 2025-06-05T19:06:24.2590040Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [45]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=123, mean_id=136, var_id=137, weight_id=134, bias_id=135, momentum=0.1, epsilon=0.001, output1_id=138, output2_id=139, output3_id=140), min_max=None) 2025-06-05T19:06:24.2590570Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [46]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=125, mean_id=143, var_id=144, weight_id=141, bias_id=142, momentum=0.1, epsilon=0.001, output1_id=145, output2_id=146, output3_id=147), min_max=None) 2025-06-05T19:06:24.2591130Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [47]: MPSNode(mpsnode_union=MPSConv2D(input1_id=126, input2_id=148, input3_id=-1, output_id=149, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2591580Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [48]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=149, mean_id=152, var_id=153, weight_id=150, bias_id=151, momentum=0.1, epsilon=0.001, output1_id=154, output2_id=155, output3_id=156), min_max=None) 2025-06-05T19:06:24.2591820Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [49]: MPSNode(mpsnode_union=MPSReLU(input1_id=131, output_id=157), min_max=None) 2025-06-05T19:06:24.2592050Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [50]: MPSNode(mpsnode_union=MPSReLU(input1_id=138, output_id=158), min_max=None) 2025-06-05T19:06:24.2592290Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [51]: MPSNode(mpsnode_union=MPSReLU(input1_id=145, output_id=159), min_max=None) 2025-06-05T19:06:24.2592850Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [52]: MPSNode(mpsnode_union=MPSConv2D(input1_id=158, input2_id=160, input3_id=-1, output_id=161, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2593400Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [53]: MPSNode(mpsnode_union=MPSConv2D(input1_id=159, input2_id=162, input3_id=-1, output_id=163, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2593730Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [54]: MPSNode(mpsnode_union=MPSReLU(input1_id=154, output_id=164), min_max=None) 2025-06-05T19:06:24.2594260Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [55]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=161, mean_id=167, var_id=168, weight_id=165, bias_id=166, momentum=0.1, epsilon=0.001, output1_id=169, output2_id=170, output3_id=171), min_max=None) 2025-06-05T19:06:24.2594720Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [56]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=163, mean_id=174, var_id=175, weight_id=172, bias_id=173, momentum=0.1, epsilon=0.001, output1_id=176, output2_id=177, output3_id=178), min_max=None) 2025-06-05T19:06:24.2594970Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [57]: MPSNode(mpsnode_union=MPSReLU(input1_id=169, output_id=179), min_max=None) 2025-06-05T19:06:24.2595210Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [58]: MPSNode(mpsnode_union=MPSReLU(input1_id=176, output_id=180), min_max=None) 2025-06-05T19:06:24.2595770Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [59]: MPSNode(mpsnode_union=MPSConv2D(input1_id=180, input2_id=181, input3_id=-1, output_id=182, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2596280Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [60]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=182, mean_id=185, var_id=186, weight_id=183, bias_id=184, momentum=0.1, epsilon=0.001, output1_id=187, output2_id=188, output3_id=189), min_max=None) 2025-06-05T19:06:24.2596520Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [61]: MPSNode(mpsnode_union=MPSReLU(input1_id=187, output_id=190), min_max=None) 2025-06-05T19:06:24.2596790Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [62]: MPSNode(mpsnode_union=MPSCat(input_ids=[157, 179, 190, 164], output_id=191, dim=1), min_max=None) 2025-06-05T19:06:24.2597410Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [63]: MPSNode(mpsnode_union=MPSConv2D(input1_id=191, input2_id=192, input3_id=-1, output_id=193, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2597980Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [64]: MPSNode(mpsnode_union=MPSConv2D(input1_id=191, input2_id=194, input3_id=-1, output_id=195, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2598540Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [65]: MPSNode(mpsnode_union=MPSConv2D(input1_id=191, input2_id=196, input3_id=-1, output_id=197, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2599320Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [66]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=191, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=198, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2599790Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [67]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=193, mean_id=201, var_id=202, weight_id=199, bias_id=200, momentum=0.1, epsilon=0.001, output1_id=203, output2_id=204, output3_id=205), min_max=None) 2025-06-05T19:06:24.2600240Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [68]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=195, mean_id=208, var_id=209, weight_id=206, bias_id=207, momentum=0.1, epsilon=0.001, output1_id=210, output2_id=211, output3_id=212), min_max=None) 2025-06-05T19:06:24.2600700Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [69]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=197, mean_id=215, var_id=216, weight_id=213, bias_id=214, momentum=0.1, epsilon=0.001, output1_id=217, output2_id=218, output3_id=219), min_max=None) 2025-06-05T19:06:24.2601300Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [70]: MPSNode(mpsnode_union=MPSConv2D(input1_id=198, input2_id=220, input3_id=-1, output_id=221, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2601760Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [71]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=221, mean_id=224, var_id=225, weight_id=222, bias_id=223, momentum=0.1, epsilon=0.001, output1_id=226, output2_id=227, output3_id=228), min_max=None) 2025-06-05T19:06:24.2602000Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [72]: MPSNode(mpsnode_union=MPSReLU(input1_id=203, output_id=229), min_max=None) 2025-06-05T19:06:24.2602230Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [73]: MPSNode(mpsnode_union=MPSReLU(input1_id=210, output_id=230), min_max=None) 2025-06-05T19:06:24.2602460Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [74]: MPSNode(mpsnode_union=MPSReLU(input1_id=217, output_id=231), min_max=None) 2025-06-05T19:06:24.2603010Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [75]: MPSNode(mpsnode_union=MPSConv2D(input1_id=230, input2_id=232, input3_id=-1, output_id=233, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2603590Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [76]: MPSNode(mpsnode_union=MPSConv2D(input1_id=231, input2_id=234, input3_id=-1, output_id=235, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2603880Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [77]: MPSNode(mpsnode_union=MPSReLU(input1_id=226, output_id=236), min_max=None) 2025-06-05T19:06:24.2604350Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [78]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=233, mean_id=239, var_id=240, weight_id=237, bias_id=238, momentum=0.1, epsilon=0.001, output1_id=241, output2_id=242, output3_id=243), min_max=None) 2025-06-05T19:06:24.2604800Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [79]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=235, mean_id=246, var_id=247, weight_id=244, bias_id=245, momentum=0.1, epsilon=0.001, output1_id=248, output2_id=249, output3_id=250), min_max=None) 2025-06-05T19:06:24.2605040Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [80]: MPSNode(mpsnode_union=MPSReLU(input1_id=241, output_id=251), min_max=None) 2025-06-05T19:06:24.2605270Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [81]: MPSNode(mpsnode_union=MPSReLU(input1_id=248, output_id=252), min_max=None) 2025-06-05T19:06:24.2605820Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [82]: MPSNode(mpsnode_union=MPSConv2D(input1_id=252, input2_id=253, input3_id=-1, output_id=254, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2606290Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [83]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=254, mean_id=257, var_id=258, weight_id=255, bias_id=256, momentum=0.1, epsilon=0.001, output1_id=259, output2_id=260, output3_id=261), min_max=None) 2025-06-05T19:06:24.2606520Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [84]: MPSNode(mpsnode_union=MPSReLU(input1_id=259, output_id=262), min_max=None) 2025-06-05T19:06:24.2606790Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [85]: MPSNode(mpsnode_union=MPSCat(input_ids=[229, 251, 262, 236], output_id=263, dim=1), min_max=None) 2025-06-05T19:06:24.2607340Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [86]: MPSNode(mpsnode_union=MPSConv2D(input1_id=263, input2_id=264, input3_id=-1, output_id=265, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2607920Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [87]: MPSNode(mpsnode_union=MPSConv2D(input1_id=263, input2_id=266, input3_id=-1, output_id=267, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2608470Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [88]: MPSNode(mpsnode_union=MPSConv2D(input1_id=263, input2_id=268, input3_id=-1, output_id=269, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2609260Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [89]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=263, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=270, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2609730Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [90]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=265, mean_id=273, var_id=274, weight_id=271, bias_id=272, momentum=0.1, epsilon=0.001, output1_id=275, output2_id=276, output3_id=277), min_max=None) 2025-06-05T19:06:24.2610220Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [91]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=267, mean_id=280, var_id=281, weight_id=278, bias_id=279, momentum=0.1, epsilon=0.001, output1_id=282, output2_id=283, output3_id=284), min_max=None) 2025-06-05T19:06:24.2610690Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [92]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=269, mean_id=287, var_id=288, weight_id=285, bias_id=286, momentum=0.1, epsilon=0.001, output1_id=289, output2_id=290, output3_id=291), min_max=None) 2025-06-05T19:06:24.2611260Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [93]: MPSNode(mpsnode_union=MPSConv2D(input1_id=270, input2_id=292, input3_id=-1, output_id=293, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2611730Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [94]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=293, mean_id=296, var_id=297, weight_id=294, bias_id=295, momentum=0.1, epsilon=0.001, output1_id=298, output2_id=299, output3_id=300), min_max=None) 2025-06-05T19:06:24.2611970Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [95]: MPSNode(mpsnode_union=MPSReLU(input1_id=275, output_id=301), min_max=None) 2025-06-05T19:06:24.2612210Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [96]: MPSNode(mpsnode_union=MPSReLU(input1_id=282, output_id=302), min_max=None) 2025-06-05T19:06:24.2612440Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [97]: MPSNode(mpsnode_union=MPSReLU(input1_id=289, output_id=303), min_max=None) 2025-06-05T19:06:24.2613000Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [98]: MPSNode(mpsnode_union=MPSConv2D(input1_id=302, input2_id=304, input3_id=-1, output_id=305, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2613550Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [99]: MPSNode(mpsnode_union=MPSConv2D(input1_id=303, input2_id=306, input3_id=-1, output_id=307, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2613790Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [100]: MPSNode(mpsnode_union=MPSReLU(input1_id=298, output_id=308), min_max=None) 2025-06-05T19:06:24.2614250Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [101]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=305, mean_id=311, var_id=312, weight_id=309, bias_id=310, momentum=0.1, epsilon=0.001, output1_id=313, output2_id=314, output3_id=315), min_max=None) 2025-06-05T19:06:24.2614740Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [102]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=307, mean_id=318, var_id=319, weight_id=316, bias_id=317, momentum=0.1, epsilon=0.001, output1_id=320, output2_id=321, output3_id=322), min_max=None) 2025-06-05T19:06:24.2614980Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [103]: MPSNode(mpsnode_union=MPSReLU(input1_id=313, output_id=323), min_max=None) 2025-06-05T19:06:24.2615220Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [104]: MPSNode(mpsnode_union=MPSReLU(input1_id=320, output_id=324), min_max=None) 2025-06-05T19:06:24.2615780Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [105]: MPSNode(mpsnode_union=MPSConv2D(input1_id=324, input2_id=325, input3_id=-1, output_id=326, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2616240Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [106]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=326, mean_id=329, var_id=330, weight_id=327, bias_id=328, momentum=0.1, epsilon=0.001, output1_id=331, output2_id=332, output3_id=333), min_max=None) 2025-06-05T19:06:24.2616510Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [107]: MPSNode(mpsnode_union=MPSReLU(input1_id=331, output_id=334), min_max=None) 2025-06-05T19:06:24.2616790Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [108]: MPSNode(mpsnode_union=MPSCat(input_ids=[301, 323, 334, 308], output_id=335, dim=1), min_max=None) 2025-06-05T19:06:24.2617370Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [109]: MPSNode(mpsnode_union=MPSConv2D(input1_id=335, input2_id=336, input3_id=-1, output_id=337, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2617960Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [110]: MPSNode(mpsnode_union=MPSConv2D(input1_id=335, input2_id=338, input3_id=-1, output_id=339, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2618520Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [111]: MPSNode(mpsnode_union=MPSConv2D(input1_id=335, input2_id=340, input3_id=-1, output_id=341, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2619300Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [112]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=335, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=342, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2619760Z [INFO 2025-06-05 19:06:24,251 mps_preprocess.py:288] [113]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=337, mean_id=345, var_id=346, weight_id=343, bias_id=344, momentum=0.1, epsilon=0.001, output1_id=347, output2_id=348, output3_id=349), min_max=None) 2025-06-05T19:06:24.2620230Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [114]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=339, mean_id=352, var_id=353, weight_id=350, bias_id=351, momentum=0.1, epsilon=0.001, output1_id=354, output2_id=355, output3_id=356), min_max=None) 2025-06-05T19:06:24.2620690Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [115]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=341, mean_id=359, var_id=360, weight_id=357, bias_id=358, momentum=0.1, epsilon=0.001, output1_id=361, output2_id=362, output3_id=363), min_max=None) 2025-06-05T19:06:24.2621240Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [116]: MPSNode(mpsnode_union=MPSConv2D(input1_id=342, input2_id=364, input3_id=-1, output_id=365, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2621710Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [117]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=365, mean_id=368, var_id=369, weight_id=366, bias_id=367, momentum=0.1, epsilon=0.001, output1_id=370, output2_id=371, output3_id=372), min_max=None) 2025-06-05T19:06:24.2621950Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [118]: MPSNode(mpsnode_union=MPSReLU(input1_id=347, output_id=373), min_max=None) 2025-06-05T19:06:24.2622190Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [119]: MPSNode(mpsnode_union=MPSReLU(input1_id=354, output_id=374), min_max=None) 2025-06-05T19:06:24.2622430Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [120]: MPSNode(mpsnode_union=MPSReLU(input1_id=361, output_id=375), min_max=None) 2025-06-05T19:06:24.2622980Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [121]: MPSNode(mpsnode_union=MPSConv2D(input1_id=374, input2_id=376, input3_id=-1, output_id=377, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2623560Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [122]: MPSNode(mpsnode_union=MPSConv2D(input1_id=375, input2_id=378, input3_id=-1, output_id=379, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2623800Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [123]: MPSNode(mpsnode_union=MPSReLU(input1_id=370, output_id=380), min_max=None) 2025-06-05T19:06:24.2624310Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [124]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=377, mean_id=383, var_id=384, weight_id=381, bias_id=382, momentum=0.1, epsilon=0.001, output1_id=385, output2_id=386, output3_id=387), min_max=None) 2025-06-05T19:06:24.2624770Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [125]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=379, mean_id=390, var_id=391, weight_id=388, bias_id=389, momentum=0.1, epsilon=0.001, output1_id=392, output2_id=393, output3_id=394), min_max=None) 2025-06-05T19:06:24.2630660Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [126]: MPSNode(mpsnode_union=MPSReLU(input1_id=385, output_id=395), min_max=None) 2025-06-05T19:06:24.2630920Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [127]: MPSNode(mpsnode_union=MPSReLU(input1_id=392, output_id=396), min_max=None) 2025-06-05T19:06:24.2631480Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [128]: MPSNode(mpsnode_union=MPSConv2D(input1_id=396, input2_id=397, input3_id=-1, output_id=398, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2631950Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [129]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=398, mean_id=401, var_id=402, weight_id=399, bias_id=400, momentum=0.1, epsilon=0.001, output1_id=403, output2_id=404, output3_id=405), min_max=None) 2025-06-05T19:06:24.2632180Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [130]: MPSNode(mpsnode_union=MPSReLU(input1_id=403, output_id=406), min_max=None) 2025-06-05T19:06:24.2632460Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [131]: MPSNode(mpsnode_union=MPSCat(input_ids=[373, 395, 406, 380], output_id=407, dim=1), min_max=None) 2025-06-05T19:06:24.2633030Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [132]: MPSNode(mpsnode_union=MPSConv2D(input1_id=407, input2_id=408, input3_id=-1, output_id=409, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2633590Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [133]: MPSNode(mpsnode_union=MPSConv2D(input1_id=407, input2_id=410, input3_id=-1, output_id=411, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2634450Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [134]: MPSNode(mpsnode_union=MPSMaxPool2DWithIndices(input1_id=407, kernel_height=3, kernel_width=3, stride_height=2, stride_width=2, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=412, output2_id=413, count_include_pad=True, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2634930Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [135]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=409, mean_id=416, var_id=417, weight_id=414, bias_id=415, momentum=0.1, epsilon=0.001, output1_id=418, output2_id=419, output3_id=420), min_max=None) 2025-06-05T19:06:24.2635380Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [136]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=411, mean_id=423, var_id=424, weight_id=421, bias_id=422, momentum=0.1, epsilon=0.001, output1_id=425, output2_id=426, output3_id=427), min_max=None) 2025-06-05T19:06:24.2635660Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [137]: MPSNode(mpsnode_union=MPSReLU(input1_id=418, output_id=428), min_max=None) 2025-06-05T19:06:24.2635890Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [138]: MPSNode(mpsnode_union=MPSReLU(input1_id=425, output_id=429), min_max=None) 2025-06-05T19:06:24.2636450Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [139]: MPSNode(mpsnode_union=MPSConv2D(input1_id=429, input2_id=430, input3_id=-1, output_id=431, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2636960Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [140]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=431, mean_id=434, var_id=435, weight_id=432, bias_id=433, momentum=0.1, epsilon=0.001, output1_id=436, output2_id=437, output3_id=438), min_max=None) 2025-06-05T19:06:24.2637200Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [141]: MPSNode(mpsnode_union=MPSReLU(input1_id=436, output_id=439), min_max=None) 2025-06-05T19:06:24.2637760Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [142]: MPSNode(mpsnode_union=MPSConv2D(input1_id=439, input2_id=440, input3_id=-1, output_id=441, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2638230Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [143]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=441, mean_id=444, var_id=445, weight_id=442, bias_id=443, momentum=0.1, epsilon=0.001, output1_id=446, output2_id=447, output3_id=448), min_max=None) 2025-06-05T19:06:24.2638470Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [144]: MPSNode(mpsnode_union=MPSReLU(input1_id=446, output_id=449), min_max=None) 2025-06-05T19:06:24.2638740Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [145]: MPSNode(mpsnode_union=MPSCat(input_ids=[428, 449, 412], output_id=450, dim=1), min_max=None) 2025-06-05T19:06:24.2639300Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [146]: MPSNode(mpsnode_union=MPSConv2D(input1_id=450, input2_id=451, input3_id=-1, output_id=452, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2639850Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [147]: MPSNode(mpsnode_union=MPSConv2D(input1_id=450, input2_id=453, input3_id=-1, output_id=454, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2640410Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [148]: MPSNode(mpsnode_union=MPSConv2D(input1_id=450, input2_id=455, input3_id=-1, output_id=456, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2641220Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [149]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=450, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=457, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2641690Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [150]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=452, mean_id=460, var_id=461, weight_id=458, bias_id=459, momentum=0.1, epsilon=0.001, output1_id=462, output2_id=463, output3_id=464), min_max=None) 2025-06-05T19:06:24.2642160Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [151]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=454, mean_id=467, var_id=468, weight_id=465, bias_id=466, momentum=0.1, epsilon=0.001, output1_id=469, output2_id=470, output3_id=471), min_max=None) 2025-06-05T19:06:24.2642650Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [152]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=456, mean_id=474, var_id=475, weight_id=472, bias_id=473, momentum=0.1, epsilon=0.001, output1_id=476, output2_id=477, output3_id=478), min_max=None) 2025-06-05T19:06:24.2643210Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [153]: MPSNode(mpsnode_union=MPSConv2D(input1_id=457, input2_id=479, input3_id=-1, output_id=480, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2643710Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [154]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=480, mean_id=483, var_id=484, weight_id=481, bias_id=482, momentum=0.1, epsilon=0.001, output1_id=485, output2_id=486, output3_id=487), min_max=None) 2025-06-05T19:06:24.2643960Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [155]: MPSNode(mpsnode_union=MPSReLU(input1_id=462, output_id=488), min_max=None) 2025-06-05T19:06:24.2644200Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [156]: MPSNode(mpsnode_union=MPSReLU(input1_id=469, output_id=489), min_max=None) 2025-06-05T19:06:24.2644430Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [157]: MPSNode(mpsnode_union=MPSReLU(input1_id=476, output_id=490), min_max=None) 2025-06-05T19:06:24.2644990Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [158]: MPSNode(mpsnode_union=MPSConv2D(input1_id=489, input2_id=491, input3_id=-1, output_id=492, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2645540Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [159]: MPSNode(mpsnode_union=MPSConv2D(input1_id=490, input2_id=493, input3_id=-1, output_id=494, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2645780Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [160]: MPSNode(mpsnode_union=MPSReLU(input1_id=485, output_id=495), min_max=None) 2025-06-05T19:06:24.2646230Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [161]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=492, mean_id=498, var_id=499, weight_id=496, bias_id=497, momentum=0.1, epsilon=0.001, output1_id=500, output2_id=501, output3_id=502), min_max=None) 2025-06-05T19:06:24.2646690Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [162]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=494, mean_id=505, var_id=506, weight_id=503, bias_id=504, momentum=0.1, epsilon=0.001, output1_id=507, output2_id=508, output3_id=509), min_max=None) 2025-06-05T19:06:24.2646930Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [163]: MPSNode(mpsnode_union=MPSReLU(input1_id=500, output_id=510), min_max=None) 2025-06-05T19:06:24.2647170Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [164]: MPSNode(mpsnode_union=MPSReLU(input1_id=507, output_id=511), min_max=None) 2025-06-05T19:06:24.2647750Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [165]: MPSNode(mpsnode_union=MPSConv2D(input1_id=510, input2_id=512, input3_id=-1, output_id=513, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2648300Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [166]: MPSNode(mpsnode_union=MPSConv2D(input1_id=511, input2_id=514, input3_id=-1, output_id=515, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2648780Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [167]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=513, mean_id=518, var_id=519, weight_id=516, bias_id=517, momentum=0.1, epsilon=0.001, output1_id=520, output2_id=521, output3_id=522), min_max=None) 2025-06-05T19:06:24.2649240Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [168]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=515, mean_id=525, var_id=526, weight_id=523, bias_id=524, momentum=0.1, epsilon=0.001, output1_id=527, output2_id=528, output3_id=529), min_max=None) 2025-06-05T19:06:24.2649520Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [169]: MPSNode(mpsnode_union=MPSReLU(input1_id=520, output_id=530), min_max=None) 2025-06-05T19:06:24.2649760Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [170]: MPSNode(mpsnode_union=MPSReLU(input1_id=527, output_id=531), min_max=None) 2025-06-05T19:06:24.2650400Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [171]: MPSNode(mpsnode_union=MPSConv2D(input1_id=531, input2_id=532, input3_id=-1, output_id=533, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2650870Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [172]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=533, mean_id=536, var_id=537, weight_id=534, bias_id=535, momentum=0.1, epsilon=0.001, output1_id=538, output2_id=539, output3_id=540), min_max=None) 2025-06-05T19:06:24.2651110Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [173]: MPSNode(mpsnode_union=MPSReLU(input1_id=538, output_id=541), min_max=None) 2025-06-05T19:06:24.2651670Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [174]: MPSNode(mpsnode_union=MPSConv2D(input1_id=541, input2_id=542, input3_id=-1, output_id=543, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2652140Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [175]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=543, mean_id=546, var_id=547, weight_id=544, bias_id=545, momentum=0.1, epsilon=0.001, output1_id=548, output2_id=549, output3_id=550), min_max=None) 2025-06-05T19:06:24.2652370Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [176]: MPSNode(mpsnode_union=MPSReLU(input1_id=548, output_id=551), min_max=None) 2025-06-05T19:06:24.2652650Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [177]: MPSNode(mpsnode_union=MPSCat(input_ids=[488, 530, 551, 495], output_id=552, dim=1), min_max=None) 2025-06-05T19:06:24.2653190Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [178]: MPSNode(mpsnode_union=MPSConv2D(input1_id=552, input2_id=553, input3_id=-1, output_id=554, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2653760Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [179]: MPSNode(mpsnode_union=MPSConv2D(input1_id=552, input2_id=555, input3_id=-1, output_id=556, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2654330Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [180]: MPSNode(mpsnode_union=MPSConv2D(input1_id=552, input2_id=557, input3_id=-1, output_id=558, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2655120Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [181]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=552, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=559, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2655590Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [182]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=554, mean_id=562, var_id=563, weight_id=560, bias_id=561, momentum=0.1, epsilon=0.001, output1_id=564, output2_id=565, output3_id=566), min_max=None) 2025-06-05T19:06:24.2656050Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [183]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=556, mean_id=569, var_id=570, weight_id=567, bias_id=568, momentum=0.1, epsilon=0.001, output1_id=571, output2_id=572, output3_id=573), min_max=None) 2025-06-05T19:06:24.2656540Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [184]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=558, mean_id=576, var_id=577, weight_id=574, bias_id=575, momentum=0.1, epsilon=0.001, output1_id=578, output2_id=579, output3_id=580), min_max=None) 2025-06-05T19:06:24.2657120Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [185]: MPSNode(mpsnode_union=MPSConv2D(input1_id=559, input2_id=581, input3_id=-1, output_id=582, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2657600Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [186]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=582, mean_id=585, var_id=586, weight_id=583, bias_id=584, momentum=0.1, epsilon=0.001, output1_id=587, output2_id=588, output3_id=589), min_max=None) 2025-06-05T19:06:24.2657840Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [187]: MPSNode(mpsnode_union=MPSReLU(input1_id=564, output_id=590), min_max=None) 2025-06-05T19:06:24.2658070Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [188]: MPSNode(mpsnode_union=MPSReLU(input1_id=571, output_id=591), min_max=None) 2025-06-05T19:06:24.2658310Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [189]: MPSNode(mpsnode_union=MPSReLU(input1_id=578, output_id=592), min_max=None) 2025-06-05T19:06:24.2658870Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [190]: MPSNode(mpsnode_union=MPSConv2D(input1_id=591, input2_id=593, input3_id=-1, output_id=594, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2659420Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [191]: MPSNode(mpsnode_union=MPSConv2D(input1_id=592, input2_id=595, input3_id=-1, output_id=596, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2659660Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [192]: MPSNode(mpsnode_union=MPSReLU(input1_id=587, output_id=597), min_max=None) 2025-06-05T19:06:24.2660120Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [193]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=594, mean_id=600, var_id=601, weight_id=598, bias_id=599, momentum=0.1, epsilon=0.001, output1_id=602, output2_id=603, output3_id=604), min_max=None) 2025-06-05T19:06:24.2660580Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [194]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=596, mean_id=607, var_id=608, weight_id=605, bias_id=606, momentum=0.1, epsilon=0.001, output1_id=609, output2_id=610, output3_id=611), min_max=None) 2025-06-05T19:06:24.2660810Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [195]: MPSNode(mpsnode_union=MPSReLU(input1_id=602, output_id=612), min_max=None) 2025-06-05T19:06:24.2661090Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [196]: MPSNode(mpsnode_union=MPSReLU(input1_id=609, output_id=613), min_max=None) 2025-06-05T19:06:24.2661650Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [197]: MPSNode(mpsnode_union=MPSConv2D(input1_id=612, input2_id=614, input3_id=-1, output_id=615, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2662220Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [198]: MPSNode(mpsnode_union=MPSConv2D(input1_id=613, input2_id=616, input3_id=-1, output_id=617, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2662680Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [199]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=615, mean_id=620, var_id=621, weight_id=618, bias_id=619, momentum=0.1, epsilon=0.001, output1_id=622, output2_id=623, output3_id=624), min_max=None) 2025-06-05T19:06:24.2663170Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [200]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=617, mean_id=627, var_id=628, weight_id=625, bias_id=626, momentum=0.1, epsilon=0.001, output1_id=629, output2_id=630, output3_id=631), min_max=None) 2025-06-05T19:06:24.2663410Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [201]: MPSNode(mpsnode_union=MPSReLU(input1_id=622, output_id=632), min_max=None) 2025-06-05T19:06:24.2663710Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [202]: MPSNode(mpsnode_union=MPSReLU(input1_id=629, output_id=633), min_max=None) 2025-06-05T19:06:24.2664260Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [203]: MPSNode(mpsnode_union=MPSConv2D(input1_id=633, input2_id=634, input3_id=-1, output_id=635, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2664730Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [204]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=635, mean_id=638, var_id=639, weight_id=636, bias_id=637, momentum=0.1, epsilon=0.001, output1_id=640, output2_id=641, output3_id=642), min_max=None) 2025-06-05T19:06:24.2664970Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [205]: MPSNode(mpsnode_union=MPSReLU(input1_id=640, output_id=643), min_max=None) 2025-06-05T19:06:24.2665520Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [206]: MPSNode(mpsnode_union=MPSConv2D(input1_id=643, input2_id=644, input3_id=-1, output_id=645, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2665990Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [207]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=645, mean_id=648, var_id=649, weight_id=646, bias_id=647, momentum=0.1, epsilon=0.001, output1_id=650, output2_id=651, output3_id=652), min_max=None) 2025-06-05T19:06:24.2666230Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [208]: MPSNode(mpsnode_union=MPSReLU(input1_id=650, output_id=653), min_max=None) 2025-06-05T19:06:24.2666510Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [209]: MPSNode(mpsnode_union=MPSCat(input_ids=[590, 632, 653, 597], output_id=654, dim=1), min_max=None) 2025-06-05T19:06:24.2667060Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [210]: MPSNode(mpsnode_union=MPSConv2D(input1_id=654, input2_id=655, input3_id=-1, output_id=656, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2667610Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [211]: MPSNode(mpsnode_union=MPSConv2D(input1_id=654, input2_id=657, input3_id=-1, output_id=658, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2668200Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [212]: MPSNode(mpsnode_union=MPSConv2D(input1_id=654, input2_id=659, input3_id=-1, output_id=660, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2668980Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [213]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=654, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=661, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2669450Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [214]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=656, mean_id=664, var_id=665, weight_id=662, bias_id=663, momentum=0.1, epsilon=0.001, output1_id=666, output2_id=667, output3_id=668), min_max=None) 2025-06-05T19:06:24.2669940Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [215]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=658, mean_id=671, var_id=672, weight_id=669, bias_id=670, momentum=0.1, epsilon=0.001, output1_id=673, output2_id=674, output3_id=675), min_max=None) 2025-06-05T19:06:24.2670390Z [INFO 2025-06-05 19:06:24,252 mps_preprocess.py:288] [216]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=660, mean_id=678, var_id=679, weight_id=676, bias_id=677, momentum=0.1, epsilon=0.001, output1_id=680, output2_id=681, output3_id=682), min_max=None) 2025-06-05T19:06:24.2670980Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [217]: MPSNode(mpsnode_union=MPSConv2D(input1_id=661, input2_id=683, input3_id=-1, output_id=684, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2671440Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [218]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=684, mean_id=687, var_id=688, weight_id=685, bias_id=686, momentum=0.1, epsilon=0.001, output1_id=689, output2_id=690, output3_id=691), min_max=None) 2025-06-05T19:06:24.2671680Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [219]: MPSNode(mpsnode_union=MPSReLU(input1_id=666, output_id=692), min_max=None) 2025-06-05T19:06:24.2671920Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [220]: MPSNode(mpsnode_union=MPSReLU(input1_id=673, output_id=693), min_max=None) 2025-06-05T19:06:24.2672150Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [221]: MPSNode(mpsnode_union=MPSReLU(input1_id=680, output_id=694), min_max=None) 2025-06-05T19:06:24.2672700Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [222]: MPSNode(mpsnode_union=MPSConv2D(input1_id=693, input2_id=695, input3_id=-1, output_id=696, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2673260Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [223]: MPSNode(mpsnode_union=MPSConv2D(input1_id=694, input2_id=697, input3_id=-1, output_id=698, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2673510Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [224]: MPSNode(mpsnode_union=MPSReLU(input1_id=689, output_id=699), min_max=None) 2025-06-05T19:06:24.2673970Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [225]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=696, mean_id=702, var_id=703, weight_id=700, bias_id=701, momentum=0.1, epsilon=0.001, output1_id=704, output2_id=705, output3_id=706), min_max=None) 2025-06-05T19:06:24.2674420Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [226]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=698, mean_id=709, var_id=710, weight_id=707, bias_id=708, momentum=0.1, epsilon=0.001, output1_id=711, output2_id=712, output3_id=713), min_max=None) 2025-06-05T19:06:24.2674680Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [227]: MPSNode(mpsnode_union=MPSReLU(input1_id=704, output_id=714), min_max=None) 2025-06-05T19:06:24.2674920Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [228]: MPSNode(mpsnode_union=MPSReLU(input1_id=711, output_id=715), min_max=None) 2025-06-05T19:06:24.2675470Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [229]: MPSNode(mpsnode_union=MPSConv2D(input1_id=714, input2_id=716, input3_id=-1, output_id=717, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2676020Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [230]: MPSNode(mpsnode_union=MPSConv2D(input1_id=715, input2_id=718, input3_id=-1, output_id=719, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2676530Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [231]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=717, mean_id=722, var_id=723, weight_id=720, bias_id=721, momentum=0.1, epsilon=0.001, output1_id=724, output2_id=725, output3_id=726), min_max=None) 2025-06-05T19:06:24.2676980Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [232]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=719, mean_id=729, var_id=730, weight_id=727, bias_id=728, momentum=0.1, epsilon=0.001, output1_id=731, output2_id=732, output3_id=733), min_max=None) 2025-06-05T19:06:24.2677290Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [233]: MPSNode(mpsnode_union=MPSReLU(input1_id=724, output_id=734), min_max=None) 2025-06-05T19:06:24.2677530Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [234]: MPSNode(mpsnode_union=MPSReLU(input1_id=731, output_id=735), min_max=None) 2025-06-05T19:06:24.2678100Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [235]: MPSNode(mpsnode_union=MPSConv2D(input1_id=735, input2_id=736, input3_id=-1, output_id=737, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2678560Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [236]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=737, mean_id=740, var_id=741, weight_id=738, bias_id=739, momentum=0.1, epsilon=0.001, output1_id=742, output2_id=743, output3_id=744), min_max=None) 2025-06-05T19:06:24.2678800Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [237]: MPSNode(mpsnode_union=MPSReLU(input1_id=742, output_id=745), min_max=None) 2025-06-05T19:06:24.2679360Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [238]: MPSNode(mpsnode_union=MPSConv2D(input1_id=745, input2_id=746, input3_id=-1, output_id=747, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2679820Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [239]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=747, mean_id=750, var_id=751, weight_id=748, bias_id=749, momentum=0.1, epsilon=0.001, output1_id=752, output2_id=753, output3_id=754), min_max=None) 2025-06-05T19:06:24.2680050Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [240]: MPSNode(mpsnode_union=MPSReLU(input1_id=752, output_id=755), min_max=None) 2025-06-05T19:06:24.2680330Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [241]: MPSNode(mpsnode_union=MPSCat(input_ids=[692, 734, 755, 699], output_id=756, dim=1), min_max=None) 2025-06-05T19:06:24.2680880Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [242]: MPSNode(mpsnode_union=MPSConv2D(input1_id=756, input2_id=757, input3_id=-1, output_id=758, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2681460Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [243]: MPSNode(mpsnode_union=MPSConv2D(input1_id=756, input2_id=759, input3_id=-1, output_id=760, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2682230Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [244]: MPSNode(mpsnode_union=MPSConv2D(input1_id=756, input2_id=761, input3_id=-1, output_id=762, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2683010Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [245]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=756, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=763, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2683510Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [246]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=758, mean_id=766, var_id=767, weight_id=764, bias_id=765, momentum=0.1, epsilon=0.001, output1_id=768, output2_id=769, output3_id=770), min_max=None) 2025-06-05T19:06:24.2683970Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [247]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=760, mean_id=773, var_id=774, weight_id=771, bias_id=772, momentum=0.1, epsilon=0.001, output1_id=775, output2_id=776, output3_id=777), min_max=None) 2025-06-05T19:06:24.2684480Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [248]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=762, mean_id=780, var_id=781, weight_id=778, bias_id=779, momentum=0.1, epsilon=0.001, output1_id=782, output2_id=783, output3_id=784), min_max=None) 2025-06-05T19:06:24.2685040Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [249]: MPSNode(mpsnode_union=MPSConv2D(input1_id=763, input2_id=785, input3_id=-1, output_id=786, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2685490Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [250]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=786, mean_id=789, var_id=790, weight_id=787, bias_id=788, momentum=0.1, epsilon=0.001, output1_id=791, output2_id=792, output3_id=793), min_max=None) 2025-06-05T19:06:24.2685740Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [251]: MPSNode(mpsnode_union=MPSReLU(input1_id=768, output_id=794), min_max=None) 2025-06-05T19:06:24.2685970Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [252]: MPSNode(mpsnode_union=MPSReLU(input1_id=775, output_id=795), min_max=None) 2025-06-05T19:06:24.2686210Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [253]: MPSNode(mpsnode_union=MPSReLU(input1_id=782, output_id=796), min_max=None) 2025-06-05T19:06:24.2686760Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [254]: MPSNode(mpsnode_union=MPSConv2D(input1_id=795, input2_id=797, input3_id=-1, output_id=798, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2687320Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [255]: MPSNode(mpsnode_union=MPSConv2D(input1_id=796, input2_id=799, input3_id=-1, output_id=800, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2687560Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [256]: MPSNode(mpsnode_union=MPSReLU(input1_id=791, output_id=801), min_max=None) 2025-06-05T19:06:24.2688020Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [257]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=798, mean_id=804, var_id=805, weight_id=802, bias_id=803, momentum=0.1, epsilon=0.001, output1_id=806, output2_id=807, output3_id=808), min_max=None) 2025-06-05T19:06:24.2688520Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [258]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=800, mean_id=811, var_id=812, weight_id=809, bias_id=810, momentum=0.1, epsilon=0.001, output1_id=813, output2_id=814, output3_id=815), min_max=None) 2025-06-05T19:06:24.2688760Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [259]: MPSNode(mpsnode_union=MPSReLU(input1_id=806, output_id=816), min_max=None) 2025-06-05T19:06:24.2689000Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [260]: MPSNode(mpsnode_union=MPSReLU(input1_id=813, output_id=817), min_max=None) 2025-06-05T19:06:24.2689570Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [261]: MPSNode(mpsnode_union=MPSConv2D(input1_id=816, input2_id=818, input3_id=-1, output_id=819, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2690120Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [262]: MPSNode(mpsnode_union=MPSConv2D(input1_id=817, input2_id=820, input3_id=-1, output_id=821, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2690610Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [263]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=819, mean_id=824, var_id=825, weight_id=822, bias_id=823, momentum=0.1, epsilon=0.001, output1_id=826, output2_id=827, output3_id=828), min_max=None) 2025-06-05T19:06:24.2691110Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [264]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=821, mean_id=831, var_id=832, weight_id=829, bias_id=830, momentum=0.1, epsilon=0.001, output1_id=833, output2_id=834, output3_id=835), min_max=None) 2025-06-05T19:06:24.2691350Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [265]: MPSNode(mpsnode_union=MPSReLU(input1_id=826, output_id=836), min_max=None) 2025-06-05T19:06:24.2691590Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [266]: MPSNode(mpsnode_union=MPSReLU(input1_id=833, output_id=837), min_max=None) 2025-06-05T19:06:24.2692140Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [267]: MPSNode(mpsnode_union=MPSConv2D(input1_id=837, input2_id=838, input3_id=-1, output_id=839, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2692600Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [268]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=839, mean_id=842, var_id=843, weight_id=840, bias_id=841, momentum=0.1, epsilon=0.001, output1_id=844, output2_id=845, output3_id=846), min_max=None) 2025-06-05T19:06:24.2692830Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [269]: MPSNode(mpsnode_union=MPSReLU(input1_id=844, output_id=847), min_max=None) 2025-06-05T19:06:24.2693390Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [270]: MPSNode(mpsnode_union=MPSConv2D(input1_id=847, input2_id=848, input3_id=-1, output_id=849, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2693880Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [271]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=849, mean_id=852, var_id=853, weight_id=850, bias_id=851, momentum=0.1, epsilon=0.001, output1_id=854, output2_id=855, output3_id=856), min_max=None) 2025-06-05T19:06:24.2694130Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [272]: MPSNode(mpsnode_union=MPSReLU(input1_id=854, output_id=857), min_max=None) 2025-06-05T19:06:24.2694400Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [273]: MPSNode(mpsnode_union=MPSCat(input_ids=[794, 836, 857, 801], output_id=858, dim=1), min_max=None) 2025-06-05T19:06:24.2695080Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [274]: MPSNode(mpsnode_union=MPSConv2D(input1_id=858, input2_id=859, input3_id=-1, output_id=860, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2695670Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [275]: MPSNode(mpsnode_union=MPSConv2D(input1_id=858, input2_id=861, input3_id=-1, output_id=862, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2696220Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [276]: MPSNode(mpsnode_union=MPSConv2D(input1_id=858, input2_id=863, input3_id=-1, output_id=864, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2697010Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [277]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=858, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=865, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2697500Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [278]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=860, mean_id=868, var_id=869, weight_id=866, bias_id=867, momentum=0.1, epsilon=0.001, output1_id=870, output2_id=871, output3_id=872), min_max=None) 2025-06-05T19:06:24.2697990Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [279]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=862, mean_id=875, var_id=876, weight_id=873, bias_id=874, momentum=0.1, epsilon=0.001, output1_id=877, output2_id=878, output3_id=879), min_max=None) 2025-06-05T19:06:24.2698470Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [280]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=864, mean_id=882, var_id=883, weight_id=880, bias_id=881, momentum=0.1, epsilon=0.001, output1_id=884, output2_id=885, output3_id=886), min_max=None) 2025-06-05T19:06:24.2699030Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [281]: MPSNode(mpsnode_union=MPSConv2D(input1_id=865, input2_id=887, input3_id=-1, output_id=888, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2699500Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [282]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=888, mean_id=891, var_id=892, weight_id=889, bias_id=890, momentum=0.1, epsilon=0.001, output1_id=893, output2_id=894, output3_id=895), min_max=None) 2025-06-05T19:06:24.2699740Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [283]: MPSNode(mpsnode_union=MPSReLU(input1_id=870, output_id=896), min_max=None) 2025-06-05T19:06:24.2699980Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [284]: MPSNode(mpsnode_union=MPSReLU(input1_id=877, output_id=897), min_max=None) 2025-06-05T19:06:24.2700210Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [285]: MPSNode(mpsnode_union=MPSReLU(input1_id=884, output_id=898), min_max=None) 2025-06-05T19:06:24.2700770Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [286]: MPSNode(mpsnode_union=MPSConv2D(input1_id=897, input2_id=899, input3_id=-1, output_id=900, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2701320Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [287]: MPSNode(mpsnode_union=MPSConv2D(input1_id=898, input2_id=901, input3_id=-1, output_id=902, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2701560Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [288]: MPSNode(mpsnode_union=MPSReLU(input1_id=893, output_id=903), min_max=None) 2025-06-05T19:06:24.2702040Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [289]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=900, mean_id=906, var_id=907, weight_id=904, bias_id=905, momentum=0.1, epsilon=0.001, output1_id=908, output2_id=909, output3_id=910), min_max=None) 2025-06-05T19:06:24.2702510Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [290]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=902, mean_id=913, var_id=914, weight_id=911, bias_id=912, momentum=0.1, epsilon=0.001, output1_id=915, output2_id=916, output3_id=917), min_max=None) 2025-06-05T19:06:24.2702750Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [291]: MPSNode(mpsnode_union=MPSReLU(input1_id=908, output_id=918), min_max=None) 2025-06-05T19:06:24.2702980Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [292]: MPSNode(mpsnode_union=MPSReLU(input1_id=915, output_id=919), min_max=None) 2025-06-05T19:06:24.2703540Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [293]: MPSNode(mpsnode_union=MPSConv2D(input1_id=918, input2_id=920, input3_id=-1, output_id=921, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2704130Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [294]: MPSNode(mpsnode_union=MPSConv2D(input1_id=919, input2_id=922, input3_id=-1, output_id=923, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2704630Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [295]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=921, mean_id=926, var_id=927, weight_id=924, bias_id=925, momentum=0.1, epsilon=0.001, output1_id=928, output2_id=929, output3_id=930), min_max=None) 2025-06-05T19:06:24.2705120Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [296]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=923, mean_id=933, var_id=934, weight_id=931, bias_id=932, momentum=0.1, epsilon=0.001, output1_id=935, output2_id=936, output3_id=937), min_max=None) 2025-06-05T19:06:24.2705360Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [297]: MPSNode(mpsnode_union=MPSReLU(input1_id=928, output_id=938), min_max=None) 2025-06-05T19:06:24.2705590Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [298]: MPSNode(mpsnode_union=MPSReLU(input1_id=935, output_id=939), min_max=None) 2025-06-05T19:06:24.2706140Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [299]: MPSNode(mpsnode_union=MPSConv2D(input1_id=939, input2_id=940, input3_id=-1, output_id=941, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2706610Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [300]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=941, mean_id=944, var_id=945, weight_id=942, bias_id=943, momentum=0.1, epsilon=0.001, output1_id=946, output2_id=947, output3_id=948), min_max=None) 2025-06-05T19:06:24.2706840Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [301]: MPSNode(mpsnode_union=MPSReLU(input1_id=946, output_id=949), min_max=None) 2025-06-05T19:06:24.2707400Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [302]: MPSNode(mpsnode_union=MPSConv2D(input1_id=949, input2_id=950, input3_id=-1, output_id=951, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2707870Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [303]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=951, mean_id=954, var_id=955, weight_id=952, bias_id=953, momentum=0.1, epsilon=0.001, output1_id=956, output2_id=957, output3_id=958), min_max=None) 2025-06-05T19:06:24.2708100Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [304]: MPSNode(mpsnode_union=MPSReLU(input1_id=956, output_id=959), min_max=None) 2025-06-05T19:06:24.2708380Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [305]: MPSNode(mpsnode_union=MPSCat(input_ids=[896, 938, 959, 903], output_id=960, dim=1), min_max=None) 2025-06-05T19:06:24.2708950Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [306]: MPSNode(mpsnode_union=MPSConv2D(input1_id=960, input2_id=961, input3_id=-1, output_id=962, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2709500Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [307]: MPSNode(mpsnode_union=MPSConv2D(input1_id=960, input2_id=963, input3_id=-1, output_id=964, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2710060Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [308]: MPSNode(mpsnode_union=MPSConv2D(input1_id=960, input2_id=965, input3_id=-1, output_id=966, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2710860Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [309]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=960, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=967, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2711320Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [310]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=962, mean_id=970, var_id=971, weight_id=968, bias_id=969, momentum=0.1, epsilon=0.001, output1_id=972, output2_id=973, output3_id=974), min_max=None) 2025-06-05T19:06:24.2711830Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [311]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=964, mean_id=977, var_id=978, weight_id=975, bias_id=976, momentum=0.1, epsilon=0.001, output1_id=979, output2_id=980, output3_id=981), min_max=None) 2025-06-05T19:06:24.2712310Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [312]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=966, mean_id=984, var_id=985, weight_id=982, bias_id=983, momentum=0.1, epsilon=0.001, output1_id=986, output2_id=987, output3_id=988), min_max=None) 2025-06-05T19:06:24.2712860Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [313]: MPSNode(mpsnode_union=MPSConv2D(input1_id=967, input2_id=989, input3_id=-1, output_id=990, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2713330Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [314]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=990, mean_id=993, var_id=994, weight_id=991, bias_id=992, momentum=0.1, epsilon=0.001, output1_id=995, output2_id=996, output3_id=997), min_max=None) 2025-06-05T19:06:24.2713570Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [315]: MPSNode(mpsnode_union=MPSReLU(input1_id=972, output_id=998), min_max=None) 2025-06-05T19:06:24.2713810Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [316]: MPSNode(mpsnode_union=MPSReLU(input1_id=979, output_id=999), min_max=None) 2025-06-05T19:06:24.2714050Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [317]: MPSNode(mpsnode_union=MPSReLU(input1_id=986, output_id=1000), min_max=None) 2025-06-05T19:06:24.2714610Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [318]: MPSNode(mpsnode_union=MPSConv2D(input1_id=999, input2_id=1001, input3_id=-1, output_id=1002, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2715180Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [319]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1000, input2_id=1003, input3_id=-1, output_id=1004, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2715470Z [INFO 2025-06-05 19:06:24,253 mps_preprocess.py:288] [320]: MPSNode(mpsnode_union=MPSReLU(input1_id=995, output_id=1005), min_max=None) 2025-06-05T19:06:24.2715980Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [321]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1002, mean_id=1008, var_id=1009, weight_id=1006, bias_id=1007, momentum=0.1, epsilon=0.001, output1_id=1010, output2_id=1011, output3_id=1012), min_max=None) 2025-06-05T19:06:24.2716460Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [322]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1004, mean_id=1015, var_id=1016, weight_id=1013, bias_id=1014, momentum=0.1, epsilon=0.001, output1_id=1017, output2_id=1018, output3_id=1019), min_max=None) 2025-06-05T19:06:24.2716710Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [323]: MPSNode(mpsnode_union=MPSReLU(input1_id=1010, output_id=1020), min_max=None) 2025-06-05T19:06:24.2716950Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [324]: MPSNode(mpsnode_union=MPSReLU(input1_id=1017, output_id=1021), min_max=None) 2025-06-05T19:06:24.2717530Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [325]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1020, input2_id=1022, input3_id=-1, output_id=1023, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2718090Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [326]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1021, input2_id=1024, input3_id=-1, output_id=1025, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2718610Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [327]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1023, mean_id=1028, var_id=1029, weight_id=1026, bias_id=1027, momentum=0.1, epsilon=0.001, output1_id=1030, output2_id=1031, output3_id=1032), min_max=None) 2025-06-05T19:06:24.2719100Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [328]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1025, mean_id=1035, var_id=1036, weight_id=1033, bias_id=1034, momentum=0.1, epsilon=0.001, output1_id=1037, output2_id=1038, output3_id=1039), min_max=None) 2025-06-05T19:06:24.2719350Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [329]: MPSNode(mpsnode_union=MPSReLU(input1_id=1030, output_id=1040), min_max=None) 2025-06-05T19:06:24.2719580Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [330]: MPSNode(mpsnode_union=MPSReLU(input1_id=1037, output_id=1041), min_max=None) 2025-06-05T19:06:24.2720150Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [331]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1041, input2_id=1042, input3_id=-1, output_id=1043, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2720630Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [332]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1043, mean_id=1046, var_id=1047, weight_id=1044, bias_id=1045, momentum=0.1, epsilon=0.001, output1_id=1048, output2_id=1049, output3_id=1050), min_max=None) 2025-06-05T19:06:24.2720870Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [333]: MPSNode(mpsnode_union=MPSReLU(input1_id=1048, output_id=1051), min_max=None) 2025-06-05T19:06:24.2721430Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [334]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1051, input2_id=1052, input3_id=-1, output_id=1053, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2721910Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [335]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1053, mean_id=1056, var_id=1057, weight_id=1054, bias_id=1055, momentum=0.1, epsilon=0.001, output1_id=1058, output2_id=1059, output3_id=1060), min_max=None) 2025-06-05T19:06:24.2722170Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [336]: MPSNode(mpsnode_union=MPSReLU(input1_id=1058, output_id=1061), min_max=None) 2025-06-05T19:06:24.2722460Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [337]: MPSNode(mpsnode_union=MPSCat(input_ids=[998, 1040, 1061, 1005], output_id=1062, dim=1), min_max=None) 2025-06-05T19:06:24.2723020Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [338]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1062, input2_id=1063, input3_id=-1, output_id=1064, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2723590Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [339]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1062, input2_id=1065, input3_id=-1, output_id=1066, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2724160Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [340]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1062, input2_id=1067, input3_id=-1, output_id=1068, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2724940Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [341]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=1062, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=1069, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2725460Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [342]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1064, mean_id=1072, var_id=1073, weight_id=1070, bias_id=1071, momentum=0.1, epsilon=0.001, output1_id=1074, output2_id=1075, output3_id=1076), min_max=None) 2025-06-05T19:06:24.2725950Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [343]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1066, mean_id=1079, var_id=1080, weight_id=1077, bias_id=1078, momentum=0.1, epsilon=0.001, output1_id=1081, output2_id=1082, output3_id=1083), min_max=None) 2025-06-05T19:06:24.2726430Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [344]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1068, mean_id=1086, var_id=1087, weight_id=1084, bias_id=1085, momentum=0.1, epsilon=0.001, output1_id=1088, output2_id=1089, output3_id=1090), min_max=None) 2025-06-05T19:06:24.2726990Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [345]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1069, input2_id=1091, input3_id=-1, output_id=1092, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2727480Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [346]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1092, mean_id=1095, var_id=1096, weight_id=1093, bias_id=1094, momentum=0.1, epsilon=0.001, output1_id=1097, output2_id=1098, output3_id=1099), min_max=None) 2025-06-05T19:06:24.2727730Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [347]: MPSNode(mpsnode_union=MPSReLU(input1_id=1074, output_id=1100), min_max=None) 2025-06-05T19:06:24.2727970Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [348]: MPSNode(mpsnode_union=MPSReLU(input1_id=1081, output_id=1101), min_max=None) 2025-06-05T19:06:24.2728210Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [349]: MPSNode(mpsnode_union=MPSReLU(input1_id=1088, output_id=1102), min_max=None) 2025-06-05T19:06:24.2728770Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [350]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1101, input2_id=1103, input3_id=-1, output_id=1104, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2729350Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [351]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1102, input2_id=1105, input3_id=-1, output_id=1106, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2729600Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [352]: MPSNode(mpsnode_union=MPSReLU(input1_id=1097, output_id=1107), min_max=None) 2025-06-05T19:06:24.2730090Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [353]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1104, mean_id=1110, var_id=1111, weight_id=1108, bias_id=1109, momentum=0.1, epsilon=0.001, output1_id=1112, output2_id=1113, output3_id=1114), min_max=None) 2025-06-05T19:06:24.2730570Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [354]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1106, mean_id=1117, var_id=1118, weight_id=1115, bias_id=1116, momentum=0.1, epsilon=0.001, output1_id=1119, output2_id=1120, output3_id=1121), min_max=None) 2025-06-05T19:06:24.2730850Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [355]: MPSNode(mpsnode_union=MPSReLU(input1_id=1112, output_id=1122), min_max=None) 2025-06-05T19:06:24.2731090Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [356]: MPSNode(mpsnode_union=MPSReLU(input1_id=1119, output_id=1123), min_max=None) 2025-06-05T19:06:24.2731650Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [357]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1122, input2_id=1124, input3_id=-1, output_id=1125, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2732270Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [358]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1123, input2_id=1126, input3_id=-1, output_id=1127, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2732760Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [359]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1125, mean_id=1130, var_id=1131, weight_id=1128, bias_id=1129, momentum=0.1, epsilon=0.001, output1_id=1132, output2_id=1133, output3_id=1134), min_max=None) 2025-06-05T19:06:24.2733250Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [360]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1127, mean_id=1137, var_id=1138, weight_id=1135, bias_id=1136, momentum=0.1, epsilon=0.001, output1_id=1139, output2_id=1140, output3_id=1141), min_max=None) 2025-06-05T19:06:24.2733490Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [361]: MPSNode(mpsnode_union=MPSReLU(input1_id=1132, output_id=1142), min_max=None) 2025-06-05T19:06:24.2733730Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [362]: MPSNode(mpsnode_union=MPSReLU(input1_id=1139, output_id=1143), min_max=None) 2025-06-05T19:06:24.2734290Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [363]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1143, input2_id=1144, input3_id=-1, output_id=1145, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2734770Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [364]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1145, mean_id=1148, var_id=1149, weight_id=1146, bias_id=1147, momentum=0.1, epsilon=0.001, output1_id=1150, output2_id=1151, output3_id=1152), min_max=None) 2025-06-05T19:06:24.2735020Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [365]: MPSNode(mpsnode_union=MPSReLU(input1_id=1150, output_id=1153), min_max=None) 2025-06-05T19:06:24.2735570Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [366]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1153, input2_id=1154, input3_id=-1, output_id=1155, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2736070Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [367]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1155, mean_id=1158, var_id=1159, weight_id=1156, bias_id=1157, momentum=0.1, epsilon=0.001, output1_id=1160, output2_id=1161, output3_id=1162), min_max=None) 2025-06-05T19:06:24.2736310Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [368]: MPSNode(mpsnode_union=MPSReLU(input1_id=1160, output_id=1163), min_max=None) 2025-06-05T19:06:24.2736590Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [369]: MPSNode(mpsnode_union=MPSCat(input_ids=[1100, 1142, 1163, 1107], output_id=1164, dim=1), min_max=None) 2025-06-05T19:06:24.2737160Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [370]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1164, input2_id=1165, input3_id=-1, output_id=1166, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2737740Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [371]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1164, input2_id=1167, input3_id=-1, output_id=1168, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2738590Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [372]: MPSNode(mpsnode_union=MPSMaxPool2DWithIndices(input1_id=1164, kernel_height=3, kernel_width=3, stride_height=2, stride_width=2, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=1169, output2_id=1170, count_include_pad=True, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2739100Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [373]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1166, mean_id=1173, var_id=1174, weight_id=1171, bias_id=1172, momentum=0.1, epsilon=0.001, output1_id=1175, output2_id=1176, output3_id=1177), min_max=None) 2025-06-05T19:06:24.2739580Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [374]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1168, mean_id=1180, var_id=1181, weight_id=1178, bias_id=1179, momentum=0.1, epsilon=0.001, output1_id=1182, output2_id=1183, output3_id=1184), min_max=None) 2025-06-05T19:06:24.2739830Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [375]: MPSNode(mpsnode_union=MPSReLU(input1_id=1175, output_id=1185), min_max=None) 2025-06-05T19:06:24.2740070Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [376]: MPSNode(mpsnode_union=MPSReLU(input1_id=1182, output_id=1186), min_max=None) 2025-06-05T19:06:24.2740640Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [377]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1185, input2_id=1187, input3_id=-1, output_id=1188, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2741200Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [378]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1186, input2_id=1189, input3_id=-1, output_id=1190, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2741690Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [379]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1188, mean_id=1193, var_id=1194, weight_id=1191, bias_id=1192, momentum=0.1, epsilon=0.001, output1_id=1195, output2_id=1196, output3_id=1197), min_max=None) 2025-06-05T19:06:24.2742170Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [380]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1190, mean_id=1200, var_id=1201, weight_id=1198, bias_id=1199, momentum=0.1, epsilon=0.001, output1_id=1202, output2_id=1203, output3_id=1204), min_max=None) 2025-06-05T19:06:24.2742410Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [381]: MPSNode(mpsnode_union=MPSReLU(input1_id=1195, output_id=1205), min_max=None) 2025-06-05T19:06:24.2742680Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [382]: MPSNode(mpsnode_union=MPSReLU(input1_id=1202, output_id=1206), min_max=None) 2025-06-05T19:06:24.2743240Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [383]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1206, input2_id=1207, input3_id=-1, output_id=1208, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:06:24.2743720Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [384]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1208, mean_id=1211, var_id=1212, weight_id=1209, bias_id=1210, momentum=0.1, epsilon=0.001, output1_id=1213, output2_id=1214, output3_id=1215), min_max=None) 2025-06-05T19:06:24.2743970Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [385]: MPSNode(mpsnode_union=MPSReLU(input1_id=1213, output_id=1216), min_max=None) 2025-06-05T19:06:24.2744560Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [386]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1216, input2_id=1217, input3_id=-1, output_id=1218, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2745040Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [387]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1218, mean_id=1221, var_id=1222, weight_id=1219, bias_id=1220, momentum=0.1, epsilon=0.001, output1_id=1223, output2_id=1224, output3_id=1225), min_max=None) 2025-06-05T19:06:24.2745330Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [388]: MPSNode(mpsnode_union=MPSReLU(input1_id=1223, output_id=1226), min_max=None) 2025-06-05T19:06:24.2745600Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [389]: MPSNode(mpsnode_union=MPSCat(input_ids=[1205, 1226, 1169], output_id=1227, dim=1), min_max=None) 2025-06-05T19:06:24.2746160Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [390]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1227, input2_id=1228, input3_id=-1, output_id=1229, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2746720Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [391]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1227, input2_id=1230, input3_id=-1, output_id=1231, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2747280Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [392]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1227, input2_id=1232, input3_id=-1, output_id=1233, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2748060Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [393]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=1227, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=1234, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2748550Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [394]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1229, mean_id=1237, var_id=1238, weight_id=1235, bias_id=1236, momentum=0.1, epsilon=0.001, output1_id=1239, output2_id=1240, output3_id=1241), min_max=None) 2025-06-05T19:06:24.2749030Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [395]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1231, mean_id=1244, var_id=1245, weight_id=1242, bias_id=1243, momentum=0.1, epsilon=0.001, output1_id=1246, output2_id=1247, output3_id=1248), min_max=None) 2025-06-05T19:06:24.2749530Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [396]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1233, mean_id=1251, var_id=1252, weight_id=1249, bias_id=1250, momentum=0.1, epsilon=0.001, output1_id=1253, output2_id=1254, output3_id=1255), min_max=None) 2025-06-05T19:06:24.2750100Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [397]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1234, input2_id=1256, input3_id=-1, output_id=1257, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2750590Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [398]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1257, mean_id=1260, var_id=1261, weight_id=1258, bias_id=1259, momentum=0.1, epsilon=0.001, output1_id=1262, output2_id=1263, output3_id=1264), min_max=None) 2025-06-05T19:06:24.2750840Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [399]: MPSNode(mpsnode_union=MPSReLU(input1_id=1239, output_id=1265), min_max=None) 2025-06-05T19:06:24.2751070Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [400]: MPSNode(mpsnode_union=MPSReLU(input1_id=1246, output_id=1266), min_max=None) 2025-06-05T19:06:24.2751340Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [401]: MPSNode(mpsnode_union=MPSReLU(input1_id=1253, output_id=1267), min_max=None) 2025-06-05T19:06:24.2751900Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [402]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1266, input2_id=1268, input3_id=-1, output_id=1269, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2752500Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [403]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1266, input2_id=1270, input3_id=-1, output_id=1271, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2753060Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [404]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1267, input2_id=1272, input3_id=-1, output_id=1273, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2753310Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [405]: MPSNode(mpsnode_union=MPSReLU(input1_id=1262, output_id=1274), min_max=None) 2025-06-05T19:06:24.2753790Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [406]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1269, mean_id=1277, var_id=1278, weight_id=1275, bias_id=1276, momentum=0.1, epsilon=0.001, output1_id=1279, output2_id=1280, output3_id=1281), min_max=None) 2025-06-05T19:06:24.2754260Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [407]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1271, mean_id=1284, var_id=1285, weight_id=1282, bias_id=1283, momentum=0.1, epsilon=0.001, output1_id=1286, output2_id=1287, output3_id=1288), min_max=None) 2025-06-05T19:06:24.2754750Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [408]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1273, mean_id=1291, var_id=1292, weight_id=1289, bias_id=1290, momentum=0.1, epsilon=0.001, output1_id=1293, output2_id=1294, output3_id=1295), min_max=None) 2025-06-05T19:06:24.2754980Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [409]: MPSNode(mpsnode_union=MPSReLU(input1_id=1279, output_id=1296), min_max=None) 2025-06-05T19:06:24.2755220Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [410]: MPSNode(mpsnode_union=MPSReLU(input1_id=1286, output_id=1297), min_max=None) 2025-06-05T19:06:24.2755460Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [411]: MPSNode(mpsnode_union=MPSReLU(input1_id=1293, output_id=1298), min_max=None) 2025-06-05T19:06:24.2755720Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [412]: MPSNode(mpsnode_union=MPSCat(input_ids=[1296, 1297], output_id=1299, dim=1), min_max=None) 2025-06-05T19:06:24.2756320Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [413]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1298, input2_id=1300, input3_id=-1, output_id=1301, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2756800Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [414]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1301, mean_id=1304, var_id=1305, weight_id=1302, bias_id=1303, momentum=0.1, epsilon=0.001, output1_id=1306, output2_id=1307, output3_id=1308), min_max=None) 2025-06-05T19:06:24.2757050Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [415]: MPSNode(mpsnode_union=MPSReLU(input1_id=1306, output_id=1309), min_max=None) 2025-06-05T19:06:24.2757600Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [416]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1309, input2_id=1310, input3_id=-1, output_id=1311, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2758200Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [417]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1309, input2_id=1312, input3_id=-1, output_id=1313, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2758670Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [418]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1311, mean_id=1316, var_id=1317, weight_id=1314, bias_id=1315, momentum=0.1, epsilon=0.001, output1_id=1318, output2_id=1319, output3_id=1320), min_max=None) 2025-06-05T19:06:24.2759210Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [419]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1313, mean_id=1323, var_id=1324, weight_id=1321, bias_id=1322, momentum=0.1, epsilon=0.001, output1_id=1325, output2_id=1326, output3_id=1327), min_max=None) 2025-06-05T19:06:24.2759450Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [420]: MPSNode(mpsnode_union=MPSReLU(input1_id=1318, output_id=1328), min_max=None) 2025-06-05T19:06:24.2759690Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [421]: MPSNode(mpsnode_union=MPSReLU(input1_id=1325, output_id=1329), min_max=None) 2025-06-05T19:06:24.2759960Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [422]: MPSNode(mpsnode_union=MPSCat(input_ids=[1328, 1329], output_id=1330, dim=1), min_max=None) 2025-06-05T19:06:24.2760240Z [INFO 2025-06-05 19:06:24,254 mps_preprocess.py:288] [423]: MPSNode(mpsnode_union=MPSCat(input_ids=[1265, 1299, 1330, 1274], output_id=1331, dim=1), min_max=None) 2025-06-05T19:06:24.2760800Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [424]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1331, input2_id=1332, input3_id=-1, output_id=1333, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2761360Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [425]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1331, input2_id=1334, input3_id=-1, output_id=1335, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2761920Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [426]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1331, input2_id=1336, input3_id=-1, output_id=1337, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2762690Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [427]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=1331, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=1338, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2763190Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [428]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1333, mean_id=1341, var_id=1342, weight_id=1339, bias_id=1340, momentum=0.1, epsilon=0.001, output1_id=1343, output2_id=1344, output3_id=1345), min_max=None) 2025-06-05T19:06:24.2763670Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [429]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1335, mean_id=1348, var_id=1349, weight_id=1346, bias_id=1347, momentum=0.1, epsilon=0.001, output1_id=1350, output2_id=1351, output3_id=1352), min_max=None) 2025-06-05T19:06:24.2764150Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [430]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1337, mean_id=1355, var_id=1356, weight_id=1353, bias_id=1354, momentum=0.1, epsilon=0.001, output1_id=1357, output2_id=1358, output3_id=1359), min_max=None) 2025-06-05T19:06:24.2764710Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [431]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1338, input2_id=1360, input3_id=-1, output_id=1361, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2765220Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [432]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1361, mean_id=1364, var_id=1365, weight_id=1362, bias_id=1363, momentum=0.1, epsilon=0.001, output1_id=1366, output2_id=1367, output3_id=1368), min_max=None) 2025-06-05T19:06:24.2765460Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [433]: MPSNode(mpsnode_union=MPSReLU(input1_id=1343, output_id=1369), min_max=None) 2025-06-05T19:06:24.2765740Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [434]: MPSNode(mpsnode_union=MPSReLU(input1_id=1350, output_id=1370), min_max=None) 2025-06-05T19:06:24.2765980Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [435]: MPSNode(mpsnode_union=MPSReLU(input1_id=1357, output_id=1371), min_max=None) 2025-06-05T19:06:24.2766540Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [436]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1370, input2_id=1372, input3_id=-1, output_id=1373, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2767100Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [437]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1370, input2_id=1374, input3_id=-1, output_id=1375, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2767650Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [438]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1371, input2_id=1376, input3_id=-1, output_id=1377, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2767890Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [439]: MPSNode(mpsnode_union=MPSReLU(input1_id=1366, output_id=1378), min_max=None) 2025-06-05T19:06:24.2768370Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [440]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1373, mean_id=1381, var_id=1382, weight_id=1379, bias_id=1380, momentum=0.1, epsilon=0.001, output1_id=1383, output2_id=1384, output3_id=1385), min_max=None) 2025-06-05T19:06:24.2768850Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [441]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1375, mean_id=1388, var_id=1389, weight_id=1386, bias_id=1387, momentum=0.1, epsilon=0.001, output1_id=1390, output2_id=1391, output3_id=1392), min_max=None) 2025-06-05T19:06:24.2769330Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [442]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1377, mean_id=1395, var_id=1396, weight_id=1393, bias_id=1394, momentum=0.1, epsilon=0.001, output1_id=1397, output2_id=1398, output3_id=1399), min_max=None) 2025-06-05T19:06:24.2769570Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [443]: MPSNode(mpsnode_union=MPSReLU(input1_id=1383, output_id=1400), min_max=None) 2025-06-05T19:06:24.2769840Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [444]: MPSNode(mpsnode_union=MPSReLU(input1_id=1390, output_id=1401), min_max=None) 2025-06-05T19:06:24.2770090Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [445]: MPSNode(mpsnode_union=MPSReLU(input1_id=1397, output_id=1402), min_max=None) 2025-06-05T19:06:24.2770350Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [446]: MPSNode(mpsnode_union=MPSCat(input_ids=[1400, 1401], output_id=1403, dim=1), min_max=None) 2025-06-05T19:06:24.2770910Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [447]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1402, input2_id=1404, input3_id=-1, output_id=1405, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2771380Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [448]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1405, mean_id=1408, var_id=1409, weight_id=1406, bias_id=1407, momentum=0.1, epsilon=0.001, output1_id=1410, output2_id=1411, output3_id=1412), min_max=None) 2025-06-05T19:06:24.2771650Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [449]: MPSNode(mpsnode_union=MPSReLU(input1_id=1410, output_id=1413), min_max=None) 2025-06-05T19:06:24.2772210Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [450]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1413, input2_id=1414, input3_id=-1, output_id=1415, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2772810Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [451]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1413, input2_id=1416, input3_id=-1, output_id=1417, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2773290Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [452]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1415, mean_id=1420, var_id=1421, weight_id=1418, bias_id=1419, momentum=0.1, epsilon=0.001, output1_id=1422, output2_id=1423, output3_id=1424), min_max=None) 2025-06-05T19:06:24.2773770Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [453]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1417, mean_id=1427, var_id=1428, weight_id=1425, bias_id=1426, momentum=0.1, epsilon=0.001, output1_id=1429, output2_id=1430, output3_id=1431), min_max=None) 2025-06-05T19:06:24.2774010Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [454]: MPSNode(mpsnode_union=MPSReLU(input1_id=1422, output_id=1432), min_max=None) 2025-06-05T19:06:24.2774250Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [455]: MPSNode(mpsnode_union=MPSReLU(input1_id=1429, output_id=1433), min_max=None) 2025-06-05T19:06:24.2774510Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [456]: MPSNode(mpsnode_union=MPSCat(input_ids=[1432, 1433], output_id=1434, dim=1), min_max=None) 2025-06-05T19:06:24.2774800Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [457]: MPSNode(mpsnode_union=MPSCat(input_ids=[1369, 1403, 1434, 1378], output_id=1435, dim=1), min_max=None) 2025-06-05T19:06:24.2775360Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [458]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1435, input2_id=1436, input3_id=-1, output_id=1437, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2775920Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [459]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1435, input2_id=1438, input3_id=-1, output_id=1439, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2776490Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [460]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1435, input2_id=1440, input3_id=-1, output_id=1441, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2777270Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [461]: MPSNode(mpsnode_union=MPSAvgPool2D(input1_id=1435, kernel_height=3, kernel_width=3, stride_height=1, stride_width=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=1442, output2_id=-1, count_include_pad=False, divisor_override=0), min_max=None) 2025-06-05T19:06:24.2777760Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [462]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1437, mean_id=1445, var_id=1446, weight_id=1443, bias_id=1444, momentum=0.1, epsilon=0.001, output1_id=1447, output2_id=1448, output3_id=1449), min_max=None) 2025-06-05T19:06:24.2778250Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [463]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1439, mean_id=1452, var_id=1453, weight_id=1450, bias_id=1451, momentum=0.1, epsilon=0.001, output1_id=1454, output2_id=1455, output3_id=1456), min_max=None) 2025-06-05T19:06:24.2778730Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [464]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1441, mean_id=1459, var_id=1460, weight_id=1457, bias_id=1458, momentum=0.1, epsilon=0.001, output1_id=1461, output2_id=1462, output3_id=1463), min_max=None) 2025-06-05T19:06:24.2779320Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [465]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1442, input2_id=1464, input3_id=-1, output_id=1465, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2779810Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [466]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1465, mean_id=1468, var_id=1469, weight_id=1466, bias_id=1467, momentum=0.1, epsilon=0.001, output1_id=1470, output2_id=1471, output3_id=1472), min_max=None) 2025-06-05T19:06:24.2780050Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [467]: MPSNode(mpsnode_union=MPSReLU(input1_id=1447, output_id=1473), min_max=None) 2025-06-05T19:06:24.2780290Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [468]: MPSNode(mpsnode_union=MPSReLU(input1_id=1454, output_id=1474), min_max=None) 2025-06-05T19:06:24.2780530Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [469]: MPSNode(mpsnode_union=MPSReLU(input1_id=1461, output_id=1475), min_max=None) 2025-06-05T19:06:24.2781090Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [470]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1474, input2_id=1476, input3_id=-1, output_id=1477, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2781640Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [471]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1474, input2_id=1478, input3_id=-1, output_id=1479, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2782200Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [472]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1475, input2_id=1480, input3_id=-1, output_id=1481, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2782440Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [473]: MPSNode(mpsnode_union=MPSReLU(input1_id=1470, output_id=1482), min_max=None) 2025-06-05T19:06:24.2782920Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [474]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1477, mean_id=1485, var_id=1486, weight_id=1483, bias_id=1484, momentum=0.1, epsilon=0.001, output1_id=1487, output2_id=1488, output3_id=1489), min_max=None) 2025-06-05T19:06:24.2783420Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [475]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1479, mean_id=1492, var_id=1493, weight_id=1490, bias_id=1491, momentum=0.1, epsilon=0.001, output1_id=1494, output2_id=1495, output3_id=1496), min_max=None) 2025-06-05T19:06:24.2783890Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [476]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1481, mean_id=1499, var_id=1500, weight_id=1497, bias_id=1498, momentum=0.1, epsilon=0.001, output1_id=1501, output2_id=1502, output3_id=1503), min_max=None) 2025-06-05T19:06:24.2784140Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [477]: MPSNode(mpsnode_union=MPSReLU(input1_id=1487, output_id=1504), min_max=None) 2025-06-05T19:06:24.2784370Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [478]: MPSNode(mpsnode_union=MPSReLU(input1_id=1494, output_id=1505), min_max=None) 2025-06-05T19:06:24.2784650Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [479]: MPSNode(mpsnode_union=MPSReLU(input1_id=1501, output_id=1506), min_max=None) 2025-06-05T19:06:24.2784910Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [480]: MPSNode(mpsnode_union=MPSCat(input_ids=[1504, 1505], output_id=1507, dim=1), min_max=None) 2025-06-05T19:06:24.2785470Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [481]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1506, input2_id=1508, input3_id=-1, output_id=1509, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2786010Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [482]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1509, mean_id=1512, var_id=1513, weight_id=1510, bias_id=1511, momentum=0.1, epsilon=0.001, output1_id=1514, output2_id=1515, output3_id=1516), min_max=None) 2025-06-05T19:06:24.2786250Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [483]: MPSNode(mpsnode_union=MPSReLU(input1_id=1514, output_id=1517), min_max=None) 2025-06-05T19:06:24.2786820Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [484]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1517, input2_id=1518, input3_id=-1, output_id=1519, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:06:24.2787370Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [485]: MPSNode(mpsnode_union=MPSConv2D(input1_id=1517, input2_id=1520, input3_id=-1, output_id=1521, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:06:24.2787850Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [486]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1519, mean_id=1524, var_id=1525, weight_id=1522, bias_id=1523, momentum=0.1, epsilon=0.001, output1_id=1526, output2_id=1527, output3_id=1528), min_max=None) 2025-06-05T19:06:24.2788330Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [487]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=1521, mean_id=1531, var_id=1532, weight_id=1529, bias_id=1530, momentum=0.1, epsilon=0.001, output1_id=1533, output2_id=1534, output3_id=1535), min_max=None) 2025-06-05T19:06:24.2788570Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [488]: MPSNode(mpsnode_union=MPSReLU(input1_id=1526, output_id=1536), min_max=None) 2025-06-05T19:06:24.2788810Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [489]: MPSNode(mpsnode_union=MPSReLU(input1_id=1533, output_id=1537), min_max=None) 2025-06-05T19:06:24.2789070Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [490]: MPSNode(mpsnode_union=MPSCat(input_ids=[1536, 1537], output_id=1538, dim=1), min_max=None) 2025-06-05T19:06:24.2789350Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [491]: MPSNode(mpsnode_union=MPSCat(input_ids=[1473, 1507, 1538, 1482], output_id=1539, dim=1), min_max=None) 2025-06-05T19:06:24.2789700Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [492]: MPSNode(mpsnode_union=MPSMean(input1_id=1539, output_id=1540, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:06:24.2790000Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [493]: MPSNode(mpsnode_union=MPSView(input1_id=1540, output_id=1541, num_dims=2, shape=[1, 1536]), min_max=None) 2025-06-05T19:06:24.2790340Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [494]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1542, input2_id=1541, input3_id=4, output_id=1543, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:06:24.2790690Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:288] [495]: MPSNode(mpsnode_union=MPSCast(input1_id=1543, output_id=1543, dtype=), min_max=None) 2025-06-05T19:06:24.2790800Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:289] MPS values: 2025-06-05T19:06:24.2791060Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [0]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 299, 299], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2791350Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [1]: MPSTensor(datatype=1, num_dims=4, dims=[32, 3, 3, 3], constant_buffer_size=1728, segment_offset=0) 2025-06-05T19:06:24.2791620Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [2]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 149, 149], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2791890Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [3]: MPSTensor(datatype=1, num_dims=2, dims=[1000, 1536], constant_buffer_size=3072000, segment_offset=1728) 2025-06-05T19:06:24.2792200Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [4]: MPSTensor(datatype=2, num_dims=2, dims=[1536, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2792470Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3073728) 2025-06-05T19:06:24.2792730Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [6]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3073792) 2025-06-05T19:06:24.2792980Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [7]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3073856) 2025-06-05T19:06:24.2793240Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [8]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3073920) 2025-06-05T19:06:24.2793500Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [9]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 149, 149], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2793750Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [10]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2793990Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [11]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2794250Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [12]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 149, 149], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2794550Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [13]: MPSTensor(datatype=1, num_dims=4, dims=[32, 32, 3, 3], constant_buffer_size=18432, segment_offset=3073984) 2025-06-05T19:06:24.2794800Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [14]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2795070Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [15]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3092416) 2025-06-05T19:06:24.2795320Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [16]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3092480) 2025-06-05T19:06:24.2795620Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [17]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3092544) 2025-06-05T19:06:24.2795880Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [18]: MPSTensor(datatype=1, num_dims=1, dims=[32], constant_buffer_size=64, segment_offset=3092608) 2025-06-05T19:06:24.2796140Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [19]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2796390Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [20]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2796630Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [21]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2796890Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [22]: MPSTensor(datatype=2, num_dims=4, dims=[1, 32, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2797180Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [23]: MPSTensor(datatype=1, num_dims=4, dims=[64, 32, 3, 3], constant_buffer_size=36864, segment_offset=3092672) 2025-06-05T19:06:24.2797450Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [24]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2797700Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [25]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3129536) 2025-06-05T19:06:24.2798010Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [26]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3129664) 2025-06-05T19:06:24.2798270Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [27]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3129792) 2025-06-05T19:06:24.2798530Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [28]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3129920) 2025-06-05T19:06:24.2798790Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [29]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2799030Z [INFO 2025-06-05 19:06:24,255 mps_preprocess.py:291] [30]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2799280Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [31]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2799540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [32]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 147, 147], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2799790Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [33]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2800050Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [34]: MPSTensor(datatype=9, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2800330Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [35]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=3130048) 2025-06-05T19:06:24.2800590Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [36]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2800850Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [37]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3240640) 2025-06-05T19:06:24.2801110Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [38]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3240832) 2025-06-05T19:06:24.2801390Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [39]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3241024) 2025-06-05T19:06:24.2801650Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [40]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3241216) 2025-06-05T19:06:24.2801910Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [41]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2802150Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [42]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2802400Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [43]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2802650Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [44]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2802930Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [45]: MPSTensor(datatype=2, num_dims=4, dims=[1, 160, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2803200Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [46]: MPSTensor(datatype=1, num_dims=4, dims=[64, 160, 1, 1], constant_buffer_size=20480, segment_offset=3241408) 2025-06-05T19:06:24.2803460Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [47]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2803770Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [48]: MPSTensor(datatype=1, num_dims=4, dims=[64, 160, 1, 1], constant_buffer_size=20480, segment_offset=3261888) 2025-06-05T19:06:24.2804020Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [49]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2804280Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [50]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3282368) 2025-06-05T19:06:24.2804540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [51]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3282496) 2025-06-05T19:06:24.2804800Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [52]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3282624) 2025-06-05T19:06:24.2805060Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [53]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3282752) 2025-06-05T19:06:24.2805320Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [54]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2805560Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [55]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2805810Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [56]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2806070Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [57]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3282880) 2025-06-05T19:06:24.2806320Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [58]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3283008) 2025-06-05T19:06:24.2806580Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [59]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3283136) 2025-06-05T19:06:24.2806840Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [60]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3283264) 2025-06-05T19:06:24.2807120Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [61]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2807360Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [62]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2807600Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [63]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2807860Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [64]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2808120Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [65]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2808390Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [66]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=3283392) 2025-06-05T19:06:24.2808690Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [67]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2808960Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [68]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 1, 7], constant_buffer_size=57344, segment_offset=3393984) 2025-06-05T19:06:24.2809210Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [69]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2809540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [70]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3451328) 2025-06-05T19:06:24.2809800Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [71]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3451520) 2025-06-05T19:06:24.2810060Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [72]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3451712) 2025-06-05T19:06:24.2810320Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [73]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3451904) 2025-06-05T19:06:24.2810570Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [74]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2810820Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [75]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2811060Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [76]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2811320Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [77]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3452096) 2025-06-05T19:06:24.2811580Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [78]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3452224) 2025-06-05T19:06:24.2811840Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [79]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3452352) 2025-06-05T19:06:24.2812090Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [80]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3452480) 2025-06-05T19:06:24.2812350Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [81]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2812600Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [82]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2812860Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [83]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2813120Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [84]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2813370Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [85]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2813640Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [86]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 7, 1], constant_buffer_size=57344, segment_offset=3452608) 2025-06-05T19:06:24.2813900Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [87]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2814180Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [88]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3509952) 2025-06-05T19:06:24.2814440Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [89]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3510080) 2025-06-05T19:06:24.2814700Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [90]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3510208) 2025-06-05T19:06:24.2814950Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [91]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3510336) 2025-06-05T19:06:24.2815250Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [92]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2815500Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [93]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2815750Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [94]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2816010Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [95]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 73, 73], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2816280Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [96]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=3510464) 2025-06-05T19:06:24.2816540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [97]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2816800Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [98]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3621056) 2025-06-05T19:06:24.2817060Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [99]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3621248) 2025-06-05T19:06:24.2817330Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [100]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3621440) 2025-06-05T19:06:24.2817590Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [101]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=3621632) 2025-06-05T19:06:24.2817850Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [102]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2818100Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [103]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2818350Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [104]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2818640Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [105]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2818910Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [106]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 71, 71], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2819190Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [107]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 3, 3], constant_buffer_size=663552, segment_offset=3621824) 2025-06-05T19:06:24.2819450Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [108]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2819720Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [109]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2820010Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [110]: MPSTensor(datatype=9, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2820270Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [111]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=4285376) 2025-06-05T19:06:24.2820540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [112]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=4285760) 2025-06-05T19:06:24.2820850Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [113]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=4286144) 2025-06-05T19:06:24.2821130Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [114]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=4286528) 2025-06-05T19:06:24.2821390Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [115]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2821640Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [116]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2821890Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [117]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2822150Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [118]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2822410Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [119]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2822690Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [120]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=4286912) 2025-06-05T19:06:24.2822950Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [121]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2823230Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [122]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=4360640) 2025-06-05T19:06:24.2823480Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [123]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2823760Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [124]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=4409792) 2025-06-05T19:06:24.2824020Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [125]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2824300Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [126]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2824570Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [127]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4458944) 2025-06-05T19:06:24.2824840Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [128]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4459136) 2025-06-05T19:06:24.2825090Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [129]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4459328) 2025-06-05T19:06:24.2825360Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [130]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4459520) 2025-06-05T19:06:24.2825620Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [131]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2825890Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [132]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2826140Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [133]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2826400Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [134]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4459712) 2025-06-05T19:06:24.2826700Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [135]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4459840) 2025-06-05T19:06:24.2826970Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [136]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4459968) 2025-06-05T19:06:24.2827230Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [137]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4460096) 2025-06-05T19:06:24.2827490Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [138]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2832540Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [139]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2832790Z [INFO 2025-06-05 19:06:24,256 mps_preprocess.py:291] [140]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2833060Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [141]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4460224) 2025-06-05T19:06:24.2833320Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [142]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4460352) 2025-06-05T19:06:24.2833590Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [143]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4460480) 2025-06-05T19:06:24.2833850Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [144]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4460608) 2025-06-05T19:06:24.2834110Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [145]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2834360Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [146]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2834600Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [147]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2834930Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [148]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=4460736) 2025-06-05T19:06:24.2835200Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [149]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2835460Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [150]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4534464) 2025-06-05T19:06:24.2835720Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [151]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4534656) 2025-06-05T19:06:24.2835980Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [152]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4534848) 2025-06-05T19:06:24.2836250Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [153]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4535040) 2025-06-05T19:06:24.2836550Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [154]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2836790Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [155]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2837040Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [156]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2837360Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [157]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2837620Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [158]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2837880Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [159]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2838160Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [160]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=4535232) 2025-06-05T19:06:24.2838420Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [161]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2838690Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [162]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=4645824) 2025-06-05T19:06:24.2838950Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [163]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2839210Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [164]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2839480Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [165]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4756416) 2025-06-05T19:06:24.2839730Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [166]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4756608) 2025-06-05T19:06:24.2840000Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [167]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4756800) 2025-06-05T19:06:24.2840260Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [168]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4756992) 2025-06-05T19:06:24.2840520Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [169]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2840780Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [170]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2841030Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [171]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2841290Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [172]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4757184) 2025-06-05T19:06:24.2841550Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [173]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4757376) 2025-06-05T19:06:24.2841820Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [174]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4757568) 2025-06-05T19:06:24.2842080Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [175]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4757760) 2025-06-05T19:06:24.2842360Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [176]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2842610Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [177]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2842850Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [178]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2843160Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [179]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2843420Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [180]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2843690Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [181]: MPSTensor(datatype=1, num_dims=4, dims=[96, 96, 3, 3], constant_buffer_size=165888, segment_offset=4757952) 2025-06-05T19:06:24.2843950Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [182]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2844210Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [183]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4923840) 2025-06-05T19:06:24.2844480Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [184]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4924032) 2025-06-05T19:06:24.2844740Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [185]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4924224) 2025-06-05T19:06:24.2845000Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [186]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=4924416) 2025-06-05T19:06:24.2845260Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [187]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2845500Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [188]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2845750Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [189]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2846010Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [190]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2846270Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [191]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2846580Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [192]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=4924608) 2025-06-05T19:06:24.2846850Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [193]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2847120Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [194]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=4998336) 2025-06-05T19:06:24.2847380Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [195]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2847650Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [196]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=5047488) 2025-06-05T19:06:24.2847910Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [197]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2848200Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [198]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2848460Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [199]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5096640) 2025-06-05T19:06:24.2848720Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [200]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5096832) 2025-06-05T19:06:24.2849030Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [201]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5097024) 2025-06-05T19:06:24.2849290Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [202]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5097216) 2025-06-05T19:06:24.2849550Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [203]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2849800Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [204]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2850050Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [205]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2850320Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [206]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5097408) 2025-06-05T19:06:24.2850580Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [207]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5097536) 2025-06-05T19:06:24.2850840Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [208]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5097664) 2025-06-05T19:06:24.2851100Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [209]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5097792) 2025-06-05T19:06:24.2851360Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [210]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2851610Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [211]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2851850Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [212]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2852120Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [213]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5097920) 2025-06-05T19:06:24.2852410Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [214]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5098048) 2025-06-05T19:06:24.2852670Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [215]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5098176) 2025-06-05T19:06:24.2852930Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [216]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5098304) 2025-06-05T19:06:24.2853200Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [217]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2853450Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [218]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2853690Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [219]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2853990Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [220]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=5098432) 2025-06-05T19:06:24.2854250Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [221]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2854510Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [222]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5172160) 2025-06-05T19:06:24.2854810Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [223]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5172352) 2025-06-05T19:06:24.2855070Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [224]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5172544) 2025-06-05T19:06:24.2855340Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [225]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5172736) 2025-06-05T19:06:24.2855590Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [226]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2855840Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [227]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2856090Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [228]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2856350Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [229]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2856610Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [230]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2856860Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [231]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2857140Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [232]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=5172928) 2025-06-05T19:06:24.2857390Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [233]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2857670Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [234]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=5283520) 2025-06-05T19:06:24.2857930Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [235]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2858210Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [236]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2858480Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [237]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5394112) 2025-06-05T19:06:24.2858740Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [238]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5394304) 2025-06-05T19:06:24.2859000Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [239]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5394496) 2025-06-05T19:06:24.2859260Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [240]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5394688) 2025-06-05T19:06:24.2859560Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [241]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2859810Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [242]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2860050Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [243]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2860320Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [244]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5394880) 2025-06-05T19:06:24.2860640Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [245]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5395072) 2025-06-05T19:06:24.2860900Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [246]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5395264) 2025-06-05T19:06:24.2861170Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [247]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5395456) 2025-06-05T19:06:24.2861420Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [248]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2861670Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [249]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2861920Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [250]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2862180Z [INFO 2025-06-05 19:06:24,257 mps_preprocess.py:291] [251]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2862440Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [252]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2862710Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [253]: MPSTensor(datatype=1, num_dims=4, dims=[96, 96, 3, 3], constant_buffer_size=165888, segment_offset=5395648) 2025-06-05T19:06:24.2862970Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [254]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2863230Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [255]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5561536) 2025-06-05T19:06:24.2863500Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [256]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5561728) 2025-06-05T19:06:24.2863760Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [257]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5561920) 2025-06-05T19:06:24.2864040Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [258]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5562112) 2025-06-05T19:06:24.2864300Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [259]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2864550Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [260]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2864800Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [261]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2865050Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [262]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2865340Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [263]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2865620Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [264]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=5562304) 2025-06-05T19:06:24.2865880Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [265]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2866220Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [266]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=5636032) 2025-06-05T19:06:24.2866480Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [267]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2866750Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [268]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=5685184) 2025-06-05T19:06:24.2867010Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [269]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2867270Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [270]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2867540Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [271]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5734336) 2025-06-05T19:06:24.2867800Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [272]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5734528) 2025-06-05T19:06:24.2868060Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [273]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5734720) 2025-06-05T19:06:24.2868330Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [274]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5734912) 2025-06-05T19:06:24.2868590Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [275]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2868830Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [276]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2869080Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [277]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2869340Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [278]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735104) 2025-06-05T19:06:24.2869640Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [279]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735232) 2025-06-05T19:06:24.2869900Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [280]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735360) 2025-06-05T19:06:24.2870160Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [281]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735488) 2025-06-05T19:06:24.2870420Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [282]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2870670Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [283]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2870920Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [284]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2871200Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [285]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735616) 2025-06-05T19:06:24.2871460Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [286]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735744) 2025-06-05T19:06:24.2871730Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [287]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5735872) 2025-06-05T19:06:24.2872030Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [288]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=5736000) 2025-06-05T19:06:24.2872290Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [289]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2872540Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [290]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2872790Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [291]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2873060Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [292]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=5736128) 2025-06-05T19:06:24.2873320Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [293]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2873590Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [294]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5809856) 2025-06-05T19:06:24.2873850Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [295]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5810048) 2025-06-05T19:06:24.2874110Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [296]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5810240) 2025-06-05T19:06:24.2874370Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [297]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=5810432) 2025-06-05T19:06:24.2874630Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [298]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2874880Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [299]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2875120Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [300]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2875410Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [301]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2875670Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [302]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2875930Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [303]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2876200Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [304]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=5810624) 2025-06-05T19:06:24.2876460Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [305]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2876730Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [306]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=5921216) 2025-06-05T19:06:24.2877010Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [307]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2877270Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [308]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2877530Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [309]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6031808) 2025-06-05T19:06:24.2877830Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [310]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032000) 2025-06-05T19:06:24.2878100Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [311]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032192) 2025-06-05T19:06:24.2878360Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [312]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032384) 2025-06-05T19:06:24.2878620Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [313]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2878860Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [314]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2879110Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [315]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2879370Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [316]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032576) 2025-06-05T19:06:24.2879630Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [317]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032768) 2025-06-05T19:06:24.2879900Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [318]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6032960) 2025-06-05T19:06:24.2880160Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [319]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6033152) 2025-06-05T19:06:24.2880420Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [320]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2880670Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [321]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2880910Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [322]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2881190Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [323]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2881450Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [324]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2881730Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [325]: MPSTensor(datatype=1, num_dims=4, dims=[96, 96, 3, 3], constant_buffer_size=165888, segment_offset=6033344) 2025-06-05T19:06:24.2881990Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [326]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2882250Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [327]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6199232) 2025-06-05T19:06:24.2882510Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [328]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6199424) 2025-06-05T19:06:24.2882810Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [329]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6199616) 2025-06-05T19:06:24.2883070Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [330]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6199808) 2025-06-05T19:06:24.2883330Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [331]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2883650Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [332]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2883900Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [333]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2884160Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [334]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2884420Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [335]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2884700Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [336]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=6200000) 2025-06-05T19:06:24.2884960Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [337]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2885230Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [338]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=6273728) 2025-06-05T19:06:24.2885490Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [339]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2885770Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [340]: MPSTensor(datatype=1, num_dims=4, dims=[64, 384, 1, 1], constant_buffer_size=49152, segment_offset=6322880) 2025-06-05T19:06:24.2886030Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [341]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2886290Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [342]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2886550Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [343]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6372032) 2025-06-05T19:06:24.2886810Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [344]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6372224) 2025-06-05T19:06:24.2887090Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [345]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6372416) 2025-06-05T19:06:24.2887360Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [346]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6372608) 2025-06-05T19:06:24.2887610Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [347]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2887860Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [348]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2888110Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [349]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2888400Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [350]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6372800) 2025-06-05T19:06:24.2888660Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [351]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6372928) 2025-06-05T19:06:24.2888920Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [352]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373056) 2025-06-05T19:06:24.2889180Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [353]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373184) 2025-06-05T19:06:24.2889480Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [354]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2889730Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [355]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2889980Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [356]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2890240Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [357]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373312) 2025-06-05T19:06:24.2890500Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [358]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373440) 2025-06-05T19:06:24.2890770Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [359]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373568) 2025-06-05T19:06:24.2891030Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [360]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=6373696) 2025-06-05T19:06:24.2891290Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [361]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2891540Z [INFO 2025-06-05 19:06:24,258 mps_preprocess.py:291] [362]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2891790Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [363]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2892070Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [364]: MPSTensor(datatype=1, num_dims=4, dims=[96, 384, 1, 1], constant_buffer_size=73728, segment_offset=6373824) 2025-06-05T19:06:24.2892320Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [365]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2892590Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [366]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6447552) 2025-06-05T19:06:24.2892890Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [367]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6447744) 2025-06-05T19:06:24.2893150Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [368]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6447936) 2025-06-05T19:06:24.2893410Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [369]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6448128) 2025-06-05T19:06:24.2893670Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [370]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2893920Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [371]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2894170Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [372]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2894460Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [373]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2894720Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [374]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2894980Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [375]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2895300Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [376]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=6448320) 2025-06-05T19:06:24.2895560Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [377]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2895840Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [378]: MPSTensor(datatype=1, num_dims=4, dims=[96, 64, 3, 3], constant_buffer_size=110592, segment_offset=6558912) 2025-06-05T19:06:24.2896090Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [379]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2896350Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [380]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2896610Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [381]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6669504) 2025-06-05T19:06:24.2896870Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [382]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6669696) 2025-06-05T19:06:24.2897130Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [383]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6669888) 2025-06-05T19:06:24.2897400Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [384]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6670080) 2025-06-05T19:06:24.2897650Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [385]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2897900Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [386]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2898150Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [387]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2898410Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [388]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6670272) 2025-06-05T19:06:24.2898690Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [389]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6670464) 2025-06-05T19:06:24.2898960Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [390]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6670656) 2025-06-05T19:06:24.2899220Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [391]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6670848) 2025-06-05T19:06:24.2899480Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [392]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2899730Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [393]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2900000Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [394]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2900250Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [395]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2900510Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [396]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2900800Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [397]: MPSTensor(datatype=1, num_dims=4, dims=[96, 96, 3, 3], constant_buffer_size=165888, segment_offset=6671040) 2025-06-05T19:06:24.2901080Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [398]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2901350Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [399]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6836928) 2025-06-05T19:06:24.2901610Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [400]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6837120) 2025-06-05T19:06:24.2901870Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [401]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6837312) 2025-06-05T19:06:24.2902130Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [402]: MPSTensor(datatype=1, num_dims=1, dims=[96], constant_buffer_size=192, segment_offset=6837504) 2025-06-05T19:06:24.2902390Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [403]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2902640Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [404]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2902890Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [405]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2903150Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [406]: MPSTensor(datatype=2, num_dims=4, dims=[1, 96, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2903410Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [407]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2903690Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [408]: MPSTensor(datatype=1, num_dims=4, dims=[384, 384, 3, 3], constant_buffer_size=2654208, segment_offset=6837696) 2025-06-05T19:06:24.2903950Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [409]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2904260Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [410]: MPSTensor(datatype=1, num_dims=4, dims=[192, 384, 1, 1], constant_buffer_size=147456, segment_offset=9491904) 2025-06-05T19:06:24.2904530Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [411]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2904790Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [412]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2905050Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [413]: MPSTensor(datatype=9, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2905310Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [414]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=9639360) 2025-06-05T19:06:24.2905580Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [415]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=9640128) 2025-06-05T19:06:24.2905880Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [416]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=9640896) 2025-06-05T19:06:24.2906140Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [417]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=9641664) 2025-06-05T19:06:24.2906400Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [418]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2906710Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [419]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2906960Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [420]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2907220Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [421]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=9642432) 2025-06-05T19:06:24.2907490Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [422]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=9642816) 2025-06-05T19:06:24.2907750Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [423]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=9643200) 2025-06-05T19:06:24.2908010Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [424]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=9643584) 2025-06-05T19:06:24.2908280Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [425]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2908530Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [426]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2908780Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [427]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2909040Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [428]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2909290Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [429]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2909580Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [430]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 3, 3], constant_buffer_size=774144, segment_offset=9643968) 2025-06-05T19:06:24.2909840Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [431]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2910120Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [432]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=10418112) 2025-06-05T19:06:24.2910390Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [433]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=10418560) 2025-06-05T19:06:24.2910660Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [434]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=10419008) 2025-06-05T19:06:24.2910920Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [435]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=10419456) 2025-06-05T19:06:24.2911190Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [436]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2911430Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [437]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2911710Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [438]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2911970Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [439]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 35, 35], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2912250Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [440]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 3, 3], constant_buffer_size=1032192, segment_offset=10419904) 2025-06-05T19:06:24.2912560Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [441]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2912830Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [442]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11452096) 2025-06-05T19:06:24.2913100Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [443]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11452608) 2025-06-05T19:06:24.2913360Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [444]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11453120) 2025-06-05T19:06:24.2913630Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [445]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11453632) 2025-06-05T19:06:24.2913890Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [446]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2914140Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [447]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2914390Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [448]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2914650Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [449]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2914920Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [450]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2915200Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [451]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=11454144) 2025-06-05T19:06:24.2915470Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [452]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2915760Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [453]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=12240576) 2025-06-05T19:06:24.2916050Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [454]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2916340Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [455]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=12633792) 2025-06-05T19:06:24.2916600Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [456]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2916870Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [457]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2917130Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [458]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=13027008) 2025-06-05T19:06:24.2917430Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [459]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=13027776) 2025-06-05T19:06:24.2917690Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [460]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=13028544) 2025-06-05T19:06:24.2917950Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [461]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=13029312) 2025-06-05T19:06:24.2918260Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [462]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2918510Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [463]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2918760Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [464]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2919030Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [465]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13030080) 2025-06-05T19:06:24.2919290Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [466]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13030464) 2025-06-05T19:06:24.2919560Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [467]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13030848) 2025-06-05T19:06:24.2919830Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [468]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13031232) 2025-06-05T19:06:24.2920090Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [469]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2920340Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [470]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2920580Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [471]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2920850Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [472]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13031616) 2025-06-05T19:06:24.2921120Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [473]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13032000) 2025-06-05T19:06:24.2921380Z [INFO 2025-06-05 19:06:24,259 mps_preprocess.py:291] [474]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13032384) 2025-06-05T19:06:24.2921640Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [475]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=13032768) 2025-06-05T19:06:24.2921930Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [476]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2922190Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [477]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2922430Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [478]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2922720Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [479]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=13033152) 2025-06-05T19:06:24.2922980Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [480]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2923270Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [481]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=13295296) 2025-06-05T19:06:24.2923530Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [482]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=13295552) 2025-06-05T19:06:24.2923800Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [483]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=13295808) 2025-06-05T19:06:24.2924100Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [484]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=13296064) 2025-06-05T19:06:24.2924370Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [485]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2924620Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [486]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2924860Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [487]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2925130Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [488]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2925390Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [489]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2925650Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [490]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2925930Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [491]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=13296320) 2025-06-05T19:06:24.2926190Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [492]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2926480Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [493]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=13898432) 2025-06-05T19:06:24.2926740Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [494]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2927000Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [495]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2927260Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [496]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=14414528) 2025-06-05T19:06:24.2927560Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [497]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=14414976) 2025-06-05T19:06:24.2927820Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [498]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=14415424) 2025-06-05T19:06:24.2928090Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [499]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=14415872) 2025-06-05T19:06:24.2928350Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [500]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2928600Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [501]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2928840Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [502]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2929150Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [503]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=14416320) 2025-06-05T19:06:24.2929410Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [504]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=14416704) 2025-06-05T19:06:24.2929680Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [505]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=14417088) 2025-06-05T19:06:24.2930000Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [506]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=14417472) 2025-06-05T19:06:24.2930260Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [507]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2930520Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [508]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2930760Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [509]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2931020Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [510]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2931280Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [511]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2931570Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [512]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=14417856) 2025-06-05T19:06:24.2931830Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [513]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2932110Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [514]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=15220672) 2025-06-05T19:06:24.2932370Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [515]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2932640Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [516]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15822784) 2025-06-05T19:06:24.2932910Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [517]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15823296) 2025-06-05T19:06:24.2933180Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [518]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15823808) 2025-06-05T19:06:24.2933460Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [519]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15824320) 2025-06-05T19:06:24.2933720Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [520]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2933970Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [521]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2934220Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [522]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2934490Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [523]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=15824832) 2025-06-05T19:06:24.2934750Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [524]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=15825280) 2025-06-05T19:06:24.2935040Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [525]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=15825728) 2025-06-05T19:06:24.2935310Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [526]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=15826176) 2025-06-05T19:06:24.2935570Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [527]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2935860Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [528]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2936110Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [529]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2936380Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [530]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2936640Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [531]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2936920Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [532]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=15826624) 2025-06-05T19:06:24.2937180Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [533]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2937450Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [534]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=16529088) 2025-06-05T19:06:24.2937710Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [535]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=16529536) 2025-06-05T19:06:24.2937980Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [536]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=16529984) 2025-06-05T19:06:24.2938240Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [537]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=16530432) 2025-06-05T19:06:24.2938510Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [538]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2938760Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [539]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2939010Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [540]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2939300Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [541]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2939590Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [542]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=16530880) 2025-06-05T19:06:24.2939840Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [543]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2940110Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [544]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17333696) 2025-06-05T19:06:24.2940380Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [545]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17334208) 2025-06-05T19:06:24.2940670Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [546]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17334720) 2025-06-05T19:06:24.2940930Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [547]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17335232) 2025-06-05T19:06:24.2941200Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [548]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2941490Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [549]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2941740Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [550]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2942000Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [551]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2942270Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [552]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2942560Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [553]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=17335744) 2025-06-05T19:06:24.2942820Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [554]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2943100Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [555]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=18122176) 2025-06-05T19:06:24.2943360Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [556]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2943650Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [557]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=18515392) 2025-06-05T19:06:24.2943910Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [558]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2944180Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [559]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2944440Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [560]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=18908608) 2025-06-05T19:06:24.2944710Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [561]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=18909376) 2025-06-05T19:06:24.2945000Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [562]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=18910144) 2025-06-05T19:06:24.2945270Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [563]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=18910912) 2025-06-05T19:06:24.2945530Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [564]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2945790Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [565]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2946030Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [566]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2946300Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [567]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18911680) 2025-06-05T19:06:24.2946590Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [568]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18912064) 2025-06-05T19:06:24.2946860Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [569]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18912448) 2025-06-05T19:06:24.2947120Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [570]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18912832) 2025-06-05T19:06:24.2947420Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [571]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2947670Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [572]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2947920Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [573]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2948190Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [574]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18913216) 2025-06-05T19:06:24.2948450Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [575]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18913600) 2025-06-05T19:06:24.2948720Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [576]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18913984) 2025-06-05T19:06:24.2948990Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [577]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=18914368) 2025-06-05T19:06:24.2949250Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [578]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2949500Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [579]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2949740Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [580]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2950030Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [581]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=18914752) 2025-06-05T19:06:24.2950290Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [582]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2950560Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [583]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=19176896) 2025-06-05T19:06:24.2950850Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [584]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=19177152) 2025-06-05T19:06:24.2951130Z [INFO 2025-06-05 19:06:24,260 mps_preprocess.py:291] [585]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=19177408) 2025-06-05T19:06:24.2951390Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [586]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=19177664) 2025-06-05T19:06:24.2951650Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [587]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2951900Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [588]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2952150Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [589]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2952450Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [590]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2952710Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [591]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2952970Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [592]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2953320Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [593]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=19177920) 2025-06-05T19:06:24.2953590Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [594]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2953870Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [595]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=19780032) 2025-06-05T19:06:24.2954130Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [596]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2954390Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [597]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2954660Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [598]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=20296128) 2025-06-05T19:06:24.2954930Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [599]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=20296576) 2025-06-05T19:06:24.2955190Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [600]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=20297024) 2025-06-05T19:06:24.2955460Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [601]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=20297472) 2025-06-05T19:06:24.2955720Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [602]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2955970Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [603]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2956210Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [604]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2956480Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [605]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=20297920) 2025-06-05T19:06:24.2956760Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [606]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=20298304) 2025-06-05T19:06:24.2957030Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [607]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=20298688) 2025-06-05T19:06:24.2957290Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [608]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=20299072) 2025-06-05T19:06:24.2957560Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [609]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2957810Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [610]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2958080Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [611]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2958340Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [612]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2958600Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [613]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2958930Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [614]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=20299456) 2025-06-05T19:06:24.2959190Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [615]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2959480Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [616]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=21102272) 2025-06-05T19:06:24.2959740Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [617]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2960010Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [618]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=21704384) 2025-06-05T19:06:24.2960280Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [619]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=21704896) 2025-06-05T19:06:24.2960540Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [620]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=21705408) 2025-06-05T19:06:24.2960810Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [621]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=21705920) 2025-06-05T19:06:24.2961070Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [622]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2961320Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [623]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2961570Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [624]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2961840Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [625]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=21706432) 2025-06-05T19:06:24.2962100Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [626]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=21706880) 2025-06-05T19:06:24.2962400Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [627]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=21707328) 2025-06-05T19:06:24.2962670Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [628]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=21707776) 2025-06-05T19:06:24.2962930Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [629]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2963180Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [630]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2963430Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [631]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2963700Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [632]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2963990Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [633]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2964270Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [634]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=21708224) 2025-06-05T19:06:24.2964530Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [635]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2964850Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [636]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=22410688) 2025-06-05T19:06:24.2965110Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [637]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=22411136) 2025-06-05T19:06:24.2965380Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [638]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=22411584) 2025-06-05T19:06:24.2965650Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [639]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=22412032) 2025-06-05T19:06:24.2965910Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [640]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2966160Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [641]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2966410Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [642]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2966670Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [643]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2966950Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [644]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=22412480) 2025-06-05T19:06:24.2967210Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [645]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2967480Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [646]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=23215296) 2025-06-05T19:06:24.2967740Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [647]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=23215808) 2025-06-05T19:06:24.2968010Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [648]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=23216320) 2025-06-05T19:06:24.2968300Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [649]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=23216832) 2025-06-05T19:06:24.2968560Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [650]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2968810Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [651]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2969060Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [652]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2969320Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [653]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2969580Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [654]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2969890Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [655]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=23217344) 2025-06-05T19:06:24.2970160Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [656]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2970440Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [657]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=24003776) 2025-06-05T19:06:24.2970740Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [658]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2971030Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [659]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=24396992) 2025-06-05T19:06:24.2971290Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [660]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2971550Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [661]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2971820Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [662]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=24790208) 2025-06-05T19:06:24.2972090Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [663]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=24790976) 2025-06-05T19:06:24.2972350Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [664]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=24791744) 2025-06-05T19:06:24.2972620Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [665]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=24792512) 2025-06-05T19:06:24.2972880Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [666]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2973130Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [667]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2973380Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [668]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2973640Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [669]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24793280) 2025-06-05T19:06:24.2973910Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [670]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24793664) 2025-06-05T19:06:24.2974250Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [671]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24794048) 2025-06-05T19:06:24.2974510Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [672]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24794432) 2025-06-05T19:06:24.2974790Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [673]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2975070Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [674]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2975320Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [675]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2975640Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [676]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24794816) 2025-06-05T19:06:24.2975920Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [677]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24795200) 2025-06-05T19:06:24.2976190Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [678]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24795584) 2025-06-05T19:06:24.2976540Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [679]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=24795968) 2025-06-05T19:06:24.2976820Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [680]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2977070Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [681]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2977340Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [682]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2977630Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [683]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=24796352) 2025-06-05T19:06:24.2977900Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [684]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2978180Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [685]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=25058496) 2025-06-05T19:06:24.2978460Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [686]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=25058752) 2025-06-05T19:06:24.2978730Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [687]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=25059008) 2025-06-05T19:06:24.2979010Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [688]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=25059264) 2025-06-05T19:06:24.2979310Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [689]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2979560Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [690]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2979830Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [691]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2980100Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [692]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2980380Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [693]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2980670Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [694]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2980970Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [695]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=25059520) 2025-06-05T19:06:24.2981250Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [696]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2981530Z [INFO 2025-06-05 19:06:24,261 mps_preprocess.py:291] [697]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=25661632) 2025-06-05T19:06:24.2981840Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [698]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2982120Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [699]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2982380Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [700]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=26177728) 2025-06-05T19:06:24.2986590Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [701]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=26178176) 2025-06-05T19:06:24.2986870Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [702]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=26178624) 2025-06-05T19:06:24.2987160Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [703]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=26179072) 2025-06-05T19:06:24.2990880Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [704]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2991140Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [705]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2991390Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [706]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2991730Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [707]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=26179520) 2025-06-05T19:06:24.2992000Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [708]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=26179904) 2025-06-05T19:06:24.2992270Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [709]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=26180288) 2025-06-05T19:06:24.2992530Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [710]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=26180672) 2025-06-05T19:06:24.2992790Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [711]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2993040Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [712]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2993290Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [713]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2993600Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [714]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2993870Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [715]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2994150Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [716]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=26181056) 2025-06-05T19:06:24.2994410Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [717]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2994710Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [718]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=26983872) 2025-06-05T19:06:24.2994970Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [719]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2995270Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [720]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=27585984) 2025-06-05T19:06:24.2995540Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [721]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=27586496) 2025-06-05T19:06:24.2995800Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [722]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=27587008) 2025-06-05T19:06:24.2996230Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [723]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=27587520) 2025-06-05T19:06:24.2996490Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [724]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2996750Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [725]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2997000Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [726]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2997270Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [727]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=27588032) 2025-06-05T19:06:24.2997540Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [728]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=27588480) 2025-06-05T19:06:24.2997800Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [729]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=27588928) 2025-06-05T19:06:24.2998070Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [730]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=27589376) 2025-06-05T19:06:24.2998330Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [731]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2998580Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [732]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2998820Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [733]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2999090Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [734]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2999350Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [735]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.2999660Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [736]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=27589824) 2025-06-05T19:06:24.2999930Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [737]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3000190Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [738]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=28292288) 2025-06-05T19:06:24.3000460Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [739]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=28292736) 2025-06-05T19:06:24.3000730Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [740]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=28293184) 2025-06-05T19:06:24.3001010Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [741]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=28293632) 2025-06-05T19:06:24.3001270Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [742]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3001520Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [743]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3001770Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [744]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3002110Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [745]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3002400Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [746]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=28294080) 2025-06-05T19:06:24.3002660Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [747]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3002930Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [748]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=29096896) 2025-06-05T19:06:24.3003200Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [749]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=29097408) 2025-06-05T19:06:24.3003460Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [750]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=29097920) 2025-06-05T19:06:24.3003730Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [751]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=29098432) 2025-06-05T19:06:24.3003990Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [752]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3004240Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [753]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3004490Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [754]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3004750Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [755]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3005010Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [756]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3005300Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [757]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=29098944) 2025-06-05T19:06:24.3005590Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [758]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3005880Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [759]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=29885376) 2025-06-05T19:06:24.3006140Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [760]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3006430Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [761]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=30278592) 2025-06-05T19:06:24.3006690Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [762]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3006990Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [763]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3007260Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [764]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=30671808) 2025-06-05T19:06:24.3007530Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [765]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=30672576) 2025-06-05T19:06:24.3007880Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [766]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=30673344) 2025-06-05T19:06:24.3008150Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [767]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=30674112) 2025-06-05T19:06:24.3008410Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [768]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3008660Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [769]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3008910Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [770]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3009180Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [771]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30674880) 2025-06-05T19:06:24.3009450Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [772]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30675264) 2025-06-05T19:06:24.3009720Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [773]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30675648) 2025-06-05T19:06:24.3009980Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [774]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30676032) 2025-06-05T19:06:24.3010240Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [775]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3010490Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [776]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3010740Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [777]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3011000Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [778]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30676416) 2025-06-05T19:06:24.3011290Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [779]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30676800) 2025-06-05T19:06:24.3011560Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [780]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30677184) 2025-06-05T19:06:24.3011820Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [781]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=30677568) 2025-06-05T19:06:24.3012090Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [782]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3012340Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [783]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3012580Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [784]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3012910Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [785]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=30677952) 2025-06-05T19:06:24.3013170Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [786]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3013440Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [787]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=30940096) 2025-06-05T19:06:24.3013780Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [788]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=30940352) 2025-06-05T19:06:24.3014050Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [789]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=30940608) 2025-06-05T19:06:24.3014310Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [790]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=30940864) 2025-06-05T19:06:24.3014570Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [791]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3014820Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [792]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3015070Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [793]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3015330Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [794]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3015590Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [795]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3015860Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [796]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3016140Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [797]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=30941120) 2025-06-05T19:06:24.3016400Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [798]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3016690Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [799]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=31543232) 2025-06-05T19:06:24.3016950Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [800]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3017250Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [801]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3017520Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [802]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=32059328) 2025-06-05T19:06:24.3017790Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [803]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=32059776) 2025-06-05T19:06:24.3018050Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [804]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=32060224) 2025-06-05T19:06:24.3018320Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [805]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=32060672) 2025-06-05T19:06:24.3018620Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [806]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3018870Z [INFO 2025-06-05 19:06:24,262 mps_preprocess.py:291] [807]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3019120Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [808]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3019410Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [809]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=32061120) 2025-06-05T19:06:24.3019740Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [810]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=32061504) 2025-06-05T19:06:24.3020010Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [811]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=32061888) 2025-06-05T19:06:24.3020270Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [812]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=32062272) 2025-06-05T19:06:24.3020530Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [813]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3020780Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [814]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3021030Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [815]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3021290Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [816]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3021550Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [817]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3021840Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [818]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=32062656) 2025-06-05T19:06:24.3022110Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [819]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3022390Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [820]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=32865472) 2025-06-05T19:06:24.3022650Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [821]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3022950Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [822]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=33467584) 2025-06-05T19:06:24.3023220Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [823]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=33468096) 2025-06-05T19:06:24.3023490Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [824]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=33468608) 2025-06-05T19:06:24.3023750Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [825]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=33469120) 2025-06-05T19:06:24.3024010Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [826]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3024260Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [827]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3024530Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [828]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3024800Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [829]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=33469632) 2025-06-05T19:06:24.3025060Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [830]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=33470080) 2025-06-05T19:06:24.3025350Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [831]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=33470528) 2025-06-05T19:06:24.3025670Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [832]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=33470976) 2025-06-05T19:06:24.3025930Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [833]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3026180Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [834]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3026430Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [835]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3026690Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [836]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3026950Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [837]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3027240Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [838]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=33471424) 2025-06-05T19:06:24.3027500Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [839]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3027760Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [840]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=34173888) 2025-06-05T19:06:24.3028030Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [841]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=34174336) 2025-06-05T19:06:24.3028290Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [842]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=34174784) 2025-06-05T19:06:24.3028560Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [843]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=34175232) 2025-06-05T19:06:24.3028850Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [844]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3029100Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [845]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3029340Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [846]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3029600Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [847]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3029890Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [848]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=34175680) 2025-06-05T19:06:24.3030150Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [849]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3030450Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [850]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=34978496) 2025-06-05T19:06:24.3030710Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [851]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=34979008) 2025-06-05T19:06:24.3030980Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [852]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=34979520) 2025-06-05T19:06:24.3031330Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [853]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=34980032) 2025-06-05T19:06:24.3031600Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [854]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3031850Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [855]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3032100Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [856]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3032360Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [857]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3032620Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [858]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3032910Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [859]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=34980544) 2025-06-05T19:06:24.3033170Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [860]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3033460Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [861]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=35766976) 2025-06-05T19:06:24.3033720Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [862]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3034010Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [863]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=36160192) 2025-06-05T19:06:24.3034270Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [864]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3034540Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [865]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3034830Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [866]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=36553408) 2025-06-05T19:06:24.3035100Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [867]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=36554176) 2025-06-05T19:06:24.3035370Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [868]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=36554944) 2025-06-05T19:06:24.3035630Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [869]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=36555712) 2025-06-05T19:06:24.3035900Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [870]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3036180Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [871]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3036430Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [872]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3036700Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [873]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36556480) 2025-06-05T19:06:24.3036990Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [874]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36556864) 2025-06-05T19:06:24.3037300Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [875]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36557248) 2025-06-05T19:06:24.3037570Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [876]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36557632) 2025-06-05T19:06:24.3037840Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [877]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3038080Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [878]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3038330Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [879]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3038600Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [880]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36558016) 2025-06-05T19:06:24.3038860Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [881]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36558400) 2025-06-05T19:06:24.3039130Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [882]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36558784) 2025-06-05T19:06:24.3039390Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [883]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=36559168) 2025-06-05T19:06:24.3039660Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [884]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3039910Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [885]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3040160Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [886]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3040440Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [887]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=36559552) 2025-06-05T19:06:24.3040740Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [888]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3041010Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [889]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=36821696) 2025-06-05T19:06:24.3041280Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [890]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=36821952) 2025-06-05T19:06:24.3041550Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [891]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=36822208) 2025-06-05T19:06:24.3041810Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [892]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=36822464) 2025-06-05T19:06:24.3042100Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [893]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3042350Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [894]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3042600Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [895]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3042890Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [896]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3043220Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [897]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3043480Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [898]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3043770Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [899]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=36822720) 2025-06-05T19:06:24.3044030Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [900]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3044320Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [901]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=37424832) 2025-06-05T19:06:24.3044580Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [902]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3044840Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [903]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3045110Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [904]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=37940928) 2025-06-05T19:06:24.3045370Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [905]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=37941376) 2025-06-05T19:06:24.3045640Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [906]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=37941824) 2025-06-05T19:06:24.3045900Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [907]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=37942272) 2025-06-05T19:06:24.3046160Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [908]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3046440Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [909]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3046700Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [910]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3046960Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [911]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=37942720) 2025-06-05T19:06:24.3047230Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [912]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=37943104) 2025-06-05T19:06:24.3047500Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [913]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=37943488) 2025-06-05T19:06:24.3047770Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [914]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=37943872) 2025-06-05T19:06:24.3048060Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [915]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3048310Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [916]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3048550Z [INFO 2025-06-05 19:06:24,263 mps_preprocess.py:291] [917]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3048830Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [918]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3049140Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [919]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3049430Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [920]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=37944256) 2025-06-05T19:06:24.3049690Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [921]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3049970Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [922]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=38747072) 2025-06-05T19:06:24.3050230Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [923]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3050500Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [924]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=39349184) 2025-06-05T19:06:24.3050770Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [925]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=39349696) 2025-06-05T19:06:24.3051030Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [926]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=39350208) 2025-06-05T19:06:24.3051300Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [927]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=39350720) 2025-06-05T19:06:24.3051560Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [928]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3051810Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [929]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3052060Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [930]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3052350Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [931]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=39351232) 2025-06-05T19:06:24.3052620Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [932]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=39351680) 2025-06-05T19:06:24.3052890Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [933]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=39352128) 2025-06-05T19:06:24.3053150Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [934]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=39352576) 2025-06-05T19:06:24.3053420Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [935]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3053700Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [936]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3053950Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [937]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3054210Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [938]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3054470Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [939]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3054840Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [940]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=39353024) 2025-06-05T19:06:24.3055100Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [941]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3055370Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [942]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=40055488) 2025-06-05T19:06:24.3055640Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [943]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=40055936) 2025-06-05T19:06:24.3055900Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [944]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=40056384) 2025-06-05T19:06:24.3056170Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [945]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=40056832) 2025-06-05T19:06:24.3056430Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [946]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3056680Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [947]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3056930Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [948]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3057180Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [949]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3057470Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [950]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=40057280) 2025-06-05T19:06:24.3057730Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [951]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3058000Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [952]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=40860096) 2025-06-05T19:06:24.3058280Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [953]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=40860608) 2025-06-05T19:06:24.3058550Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [954]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=40861120) 2025-06-05T19:06:24.3058820Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [955]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=40861632) 2025-06-05T19:06:24.3059080Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [956]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3059330Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [957]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3059600Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [958]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3059860Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [959]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3060120Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [960]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3060430Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [961]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=40862144) 2025-06-05T19:06:24.3060750Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [962]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3061040Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [963]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=41648576) 2025-06-05T19:06:24.3061300Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [964]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3061590Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [965]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=42041792) 2025-06-05T19:06:24.3061850Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [966]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3062110Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [967]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3062380Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [968]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=42435008) 2025-06-05T19:06:24.3062650Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [969]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=42435776) 2025-06-05T19:06:24.3062920Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [970]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=42436544) 2025-06-05T19:06:24.3063180Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [971]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=42437312) 2025-06-05T19:06:24.3063450Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [972]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3063700Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [973]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3063990Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [974]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3064260Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [975]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42438080) 2025-06-05T19:06:24.3064530Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [976]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42438464) 2025-06-05T19:06:24.3064800Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [977]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42438848) 2025-06-05T19:06:24.3065060Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [978]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42439232) 2025-06-05T19:06:24.3065320Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [979]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3065600Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [980]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3065850Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [981]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3066110Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [982]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42439616) 2025-06-05T19:06:24.3066470Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [983]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42440000) 2025-06-05T19:06:24.3066740Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [984]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42440384) 2025-06-05T19:06:24.3067010Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [985]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=42440768) 2025-06-05T19:06:24.3067270Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [986]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3067520Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [987]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3067770Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [988]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3068050Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [989]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=42441152) 2025-06-05T19:06:24.3068320Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [990]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3068590Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [991]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=42703296) 2025-06-05T19:06:24.3068850Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [992]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=42703552) 2025-06-05T19:06:24.3069120Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [993]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=42703808) 2025-06-05T19:06:24.3069390Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [994]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=42704064) 2025-06-05T19:06:24.3069640Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [995]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3069920Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [996]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3070180Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [997]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3070440Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [998]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3070710Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [999]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3070970Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1000]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3071260Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1001]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=42704320) 2025-06-05T19:06:24.3071550Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1002]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3071840Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1003]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=43306432) 2025-06-05T19:06:24.3072100Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1004]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3072440Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1005]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3072720Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1006]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=43822528) 2025-06-05T19:06:24.3072990Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1007]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=43822976) 2025-06-05T19:06:24.3073260Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1008]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=43823424) 2025-06-05T19:06:24.3073530Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1009]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=43823872) 2025-06-05T19:06:24.3073790Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1010]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3074050Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1011]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3074300Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1012]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3074570Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1013]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=43824320) 2025-06-05T19:06:24.3074840Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1014]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=43824704) 2025-06-05T19:06:24.3075100Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1015]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=43825088) 2025-06-05T19:06:24.3075380Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1016]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=43825472) 2025-06-05T19:06:24.3075650Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1017]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3075920Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1018]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3076180Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1019]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3076440Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1020]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3076710Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1021]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3076990Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1022]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=43825856) 2025-06-05T19:06:24.3077310Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1023]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3077590Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1024]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=44628672) 2025-06-05T19:06:24.3077860Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1025]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3078160Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1026]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=45230784) 2025-06-05T19:06:24.3078480Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1027]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=45231296) 2025-06-05T19:06:24.3078750Z [INFO 2025-06-05 19:06:24,264 mps_preprocess.py:291] [1028]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=45231808) 2025-06-05T19:06:24.3079020Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1029]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=45232320) 2025-06-05T19:06:24.3079280Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1030]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3079530Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1031]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3079780Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1032]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3080050Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1033]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45232832) 2025-06-05T19:06:24.3080320Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1034]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45233280) 2025-06-05T19:06:24.3080590Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1035]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45233728) 2025-06-05T19:06:24.3080860Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1036]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45234176) 2025-06-05T19:06:24.3081120Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1037]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3081380Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1038]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3081650Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1039]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3081920Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1040]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3082180Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1041]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3082470Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1042]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=45234624) 2025-06-05T19:06:24.3082740Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1043]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3083010Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1044]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45937088) 2025-06-05T19:06:24.3083310Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1045]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45937536) 2025-06-05T19:06:24.3083580Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1046]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45937984) 2025-06-05T19:06:24.3083840Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1047]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=45938432) 2025-06-05T19:06:24.3084190Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1048]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3084440Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1049]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3084700Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1050]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3084960Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1051]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3085250Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1052]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=45938880) 2025-06-05T19:06:24.3085520Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1053]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3085790Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1054]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=46741696) 2025-06-05T19:06:24.3086070Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1055]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=46742208) 2025-06-05T19:06:24.3086340Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1056]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=46742720) 2025-06-05T19:06:24.3086610Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1057]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=46743232) 2025-06-05T19:06:24.3086870Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1058]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3087130Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1059]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3087380Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1060]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3087680Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1061]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3087960Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1062]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3088250Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1063]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1024, 1, 1], constant_buffer_size=786432, segment_offset=46743744) 2025-06-05T19:06:24.3088510Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1064]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3088800Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1065]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=47530176) 2025-06-05T19:06:24.3089100Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1066]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3089380Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1067]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=47923392) 2025-06-05T19:06:24.3089650Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1068]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3089940Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1069]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3090270Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1070]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=48316608) 2025-06-05T19:06:24.3090550Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1071]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=48317376) 2025-06-05T19:06:24.3090820Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1072]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=48318144) 2025-06-05T19:06:24.3091080Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1073]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=48318912) 2025-06-05T19:06:24.3091350Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1074]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3091600Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1075]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3091850Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1076]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3092130Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1077]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48319680) 2025-06-05T19:06:24.3092390Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1078]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48320064) 2025-06-05T19:06:24.3092660Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1079]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48320448) 2025-06-05T19:06:24.3092930Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1080]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48320832) 2025-06-05T19:06:24.3093200Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1081]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3093480Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1082]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3093730Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1083]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3094010Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1084]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48321216) 2025-06-05T19:06:24.3094270Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1085]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48321600) 2025-06-05T19:06:24.3094550Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1086]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48321984) 2025-06-05T19:06:24.3094820Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1087]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=48322368) 2025-06-05T19:06:24.3095110Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1088]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3095360Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1089]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3095610Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1090]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3095920Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1091]: MPSTensor(datatype=1, num_dims=4, dims=[128, 1024, 1, 1], constant_buffer_size=262144, segment_offset=48322752) 2025-06-05T19:06:24.3096250Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1092]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3096520Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1093]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48584896) 2025-06-05T19:06:24.3096790Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1094]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48585152) 2025-06-05T19:06:24.3097050Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1095]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48585408) 2025-06-05T19:06:24.3097320Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1096]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48585664) 2025-06-05T19:06:24.3097590Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1097]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3097830Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1098]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3098090Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1099]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3098360Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1100]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3098620Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1101]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3098890Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1102]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3099180Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1103]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=48585920) 2025-06-05T19:06:24.3099460Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1104]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3099750Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1105]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 7, 1], constant_buffer_size=516096, segment_offset=49188032) 2025-06-05T19:06:24.3100020Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1106]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3100280Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1107]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3100550Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1108]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=49704128) 2025-06-05T19:06:24.3100860Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1109]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=49704576) 2025-06-05T19:06:24.3101120Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1110]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=49705024) 2025-06-05T19:06:24.3101390Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1111]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=49705472) 2025-06-05T19:06:24.3101690Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1112]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3102000Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1113]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3102250Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1114]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3102520Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1115]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=49705920) 2025-06-05T19:06:24.3102790Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1116]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=49706304) 2025-06-05T19:06:24.3103060Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1117]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=49706688) 2025-06-05T19:06:24.3103330Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1118]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=49707072) 2025-06-05T19:06:24.3103590Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1119]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3103850Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1120]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3104100Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1121]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3104360Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1122]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3104630Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1123]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3104920Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1124]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 7, 1], constant_buffer_size=802816, segment_offset=49707456) 2025-06-05T19:06:24.3105200Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1125]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3105490Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1126]: MPSTensor(datatype=1, num_dims=4, dims=[224, 192, 1, 7], constant_buffer_size=602112, segment_offset=50510272) 2025-06-05T19:06:24.3105750Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1127]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3106020Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1128]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=51112384) 2025-06-05T19:06:24.3106290Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1129]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=51112896) 2025-06-05T19:06:24.3106560Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1130]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=51113408) 2025-06-05T19:06:24.3106860Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1131]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=51113920) 2025-06-05T19:06:24.3107120Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1132]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3107370Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1133]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3107640Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1134]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3107970Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1135]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51114432) 2025-06-05T19:06:24.3108240Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1136]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51114880) 2025-06-05T19:06:24.3108510Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1137]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51115328) 2025-06-05T19:06:24.3108770Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1138]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51115776) 2025-06-05T19:06:24.3109040Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1139]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3109290Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1140]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3109540Z [INFO 2025-06-05 19:06:24,265 mps_preprocess.py:291] [1141]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3109810Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1142]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3110070Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1143]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3110360Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1144]: MPSTensor(datatype=1, num_dims=4, dims=[224, 224, 7, 1], constant_buffer_size=702464, segment_offset=51116224) 2025-06-05T19:06:24.3110630Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1145]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3110900Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1146]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51818688) 2025-06-05T19:06:24.3111200Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1147]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51819136) 2025-06-05T19:06:24.3111480Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1148]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51819584) 2025-06-05T19:06:24.3111740Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1149]: MPSTensor(datatype=1, num_dims=1, dims=[224], constant_buffer_size=448, segment_offset=51820032) 2025-06-05T19:06:24.3112010Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1150]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3112260Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1151]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3112510Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1152]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3112810Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1153]: MPSTensor(datatype=2, num_dims=4, dims=[1, 224, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3113090Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1154]: MPSTensor(datatype=1, num_dims=4, dims=[256, 224, 1, 7], constant_buffer_size=802816, segment_offset=51820480) 2025-06-05T19:06:24.3113360Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1155]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3113720Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1156]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=52623296) 2025-06-05T19:06:24.3113990Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1157]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=52623808) 2025-06-05T19:06:24.3114260Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1158]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=52624320) 2025-06-05T19:06:24.3114530Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1159]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=52624832) 2025-06-05T19:06:24.3114790Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1160]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3115040Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1161]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3115290Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1162]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3115560Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1163]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3115830Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1164]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3116120Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1165]: MPSTensor(datatype=1, num_dims=4, dims=[192, 1024, 1, 1], constant_buffer_size=393216, segment_offset=52625344) 2025-06-05T19:06:24.3116390Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1166]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3116670Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1167]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=53018560) 2025-06-05T19:06:24.3116940Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1168]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3117230Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1169]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3117490Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1170]: MPSTensor(datatype=9, num_dims=4, dims=[1, 1024, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3117770Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1171]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=53542848) 2025-06-05T19:06:24.3118040Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1172]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=53543232) 2025-06-05T19:06:24.3118300Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1173]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=53543616) 2025-06-05T19:06:24.3118600Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1174]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=53544000) 2025-06-05T19:06:24.3118860Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1175]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3119110Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1176]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3119390Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1177]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3119720Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1178]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=53544384) 2025-06-05T19:06:24.3119990Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1179]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=53544896) 2025-06-05T19:06:24.3120260Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1180]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=53545408) 2025-06-05T19:06:24.3120520Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1181]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=53545920) 2025-06-05T19:06:24.3120790Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1182]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3121040Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1183]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3121290Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1184]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3121570Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1185]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3121830Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3122120Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1187]: MPSTensor(datatype=1, num_dims=4, dims=[192, 192, 3, 3], constant_buffer_size=663552, segment_offset=53546432) 2025-06-05T19:06:24.3122390Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1188]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3122680Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1189]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 1, 7], constant_buffer_size=917504, segment_offset=54209984) 2025-06-05T19:06:24.3122960Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1190]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3123240Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1191]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=55127488) 2025-06-05T19:06:24.3123510Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1192]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=55127872) 2025-06-05T19:06:24.3123770Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1193]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=55128256) 2025-06-05T19:06:24.3124040Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1194]: MPSTensor(datatype=1, num_dims=1, dims=[192], constant_buffer_size=384, segment_offset=55128640) 2025-06-05T19:06:24.3124300Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1195]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3124590Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1196]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3124840Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1197]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3125110Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1198]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=55129024) 2025-06-05T19:06:24.3125470Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1199]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=55129536) 2025-06-05T19:06:24.3125740Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1200]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=55130048) 2025-06-05T19:06:24.3126010Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1201]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=55130560) 2025-06-05T19:06:24.3126280Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1202]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3126530Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1203]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3126780Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1204]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3127040Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1205]: MPSTensor(datatype=2, num_dims=4, dims=[1, 192, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3127310Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1206]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3127610Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1207]: MPSTensor(datatype=1, num_dims=4, dims=[320, 256, 7, 1], constant_buffer_size=1146880, segment_offset=55131072) 2025-06-05T19:06:24.3127880Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1208]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3128140Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1209]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=56277952) 2025-06-05T19:06:24.3128420Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1210]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=56278592) 2025-06-05T19:06:24.3128690Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1211]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=56279232) 2025-06-05T19:06:24.3128970Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1212]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=56279872) 2025-06-05T19:06:24.3129240Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1213]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3129490Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1214]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3129740Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1215]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3130010Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1216]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 17, 17], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3130330Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1217]: MPSTensor(datatype=1, num_dims=4, dims=[320, 320, 3, 3], constant_buffer_size=1843200, segment_offset=56280512) 2025-06-05T19:06:24.3130600Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1218]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3130860Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1219]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=58123712) 2025-06-05T19:06:24.3131150Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1220]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=58124352) 2025-06-05T19:06:24.3131470Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1221]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=58124992) 2025-06-05T19:06:24.3131740Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1222]: MPSTensor(datatype=1, num_dims=1, dims=[320], constant_buffer_size=640, segment_offset=58125632) 2025-06-05T19:06:24.3132010Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1223]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3132260Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1224]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3132510Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1225]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3132770Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1226]: MPSTensor(datatype=2, num_dims=4, dims=[1, 320, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3133030Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1227]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3133330Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1228]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=58126272) 2025-06-05T19:06:24.3133590Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1229]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3133880Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1230]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=58912704) 2025-06-05T19:06:24.3134150Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1231]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3134440Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1232]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=60092352) 2025-06-05T19:06:24.3134740Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1233]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3135010Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1234]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3135270Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1235]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=61272000) 2025-06-05T19:06:24.3135540Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1236]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=61272512) 2025-06-05T19:06:24.3135810Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1237]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=61273024) 2025-06-05T19:06:24.3136090Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1238]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=61273536) 2025-06-05T19:06:24.3136380Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1239]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3136630Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1240]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3136880Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1241]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3137240Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1242]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61274048) 2025-06-05T19:06:24.3137510Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1243]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61274816) 2025-06-05T19:06:24.3137780Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1244]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61275584) 2025-06-05T19:06:24.3138050Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1245]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61276352) 2025-06-05T19:06:24.3138310Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1246]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3138560Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1247]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3138810Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1248]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3139080Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1249]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61277120) 2025-06-05T19:06:24.3139350Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1250]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61277888) 2025-06-05T19:06:24.3139620Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1251]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61278656) 2025-06-05T19:06:24.3139880Z [INFO 2025-06-05 19:06:24,266 mps_preprocess.py:291] [1252]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=61279424) 2025-06-05T19:06:24.3140150Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1253]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3140400Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1254]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3140670Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1255]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3140970Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1256]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=61280192) 2025-06-05T19:06:24.3141230Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1257]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3141500Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1258]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=62066624) 2025-06-05T19:06:24.3141770Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1259]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=62067136) 2025-06-05T19:06:24.3142060Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1260]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=62067648) 2025-06-05T19:06:24.3142330Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1261]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=62068160) 2025-06-05T19:06:24.3142590Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1262]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3142840Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1263]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3143160Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1264]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3143420Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1265]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3143690Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1266]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3143950Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1267]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3144230Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1268]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 1, 3], constant_buffer_size=589824, segment_offset=62068672) 2025-06-05T19:06:24.3144500Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1269]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3144810Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1270]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 3, 1], constant_buffer_size=589824, segment_offset=62658496) 2025-06-05T19:06:24.3149720Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1271]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3150020Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1272]: MPSTensor(datatype=1, num_dims=4, dims=[448, 384, 3, 1], constant_buffer_size=1032192, segment_offset=63248320) 2025-06-05T19:06:24.3150290Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1273]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3150550Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1274]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3150820Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1275]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64280512) 2025-06-05T19:06:24.3151150Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1276]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64281024) 2025-06-05T19:06:24.3151430Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1277]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64281536) 2025-06-05T19:06:24.3151690Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1278]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64282048) 2025-06-05T19:06:24.3151960Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1279]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3152210Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1280]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3152460Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1281]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3152770Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1282]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64282560) 2025-06-05T19:06:24.3153040Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1283]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64283072) 2025-06-05T19:06:24.3153310Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1284]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64283584) 2025-06-05T19:06:24.3153600Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1285]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=64284096) 2025-06-05T19:06:24.3153930Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1286]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3154180Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1287]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3154430Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1288]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3154700Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1289]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=64284608) 2025-06-05T19:06:24.3154970Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1290]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=64285504) 2025-06-05T19:06:24.3155240Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1291]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=64286400) 2025-06-05T19:06:24.3155620Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1292]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=64287296) 2025-06-05T19:06:24.3155880Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1293]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3156130Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1294]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3156380Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1295]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3156640Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1296]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3156900Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1297]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3157190Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1298]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3157450Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1299]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3157740Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1300]: MPSTensor(datatype=1, num_dims=4, dims=[512, 448, 1, 3], constant_buffer_size=1376256, segment_offset=64288192) 2025-06-05T19:06:24.3158010Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1301]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3158280Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1302]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=65664448) 2025-06-05T19:06:24.3158550Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1303]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=65665472) 2025-06-05T19:06:24.3158850Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1304]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=65666496) 2025-06-05T19:06:24.3159120Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1305]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=65667520) 2025-06-05T19:06:24.3159380Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1306]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3159700Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1307]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3159950Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1308]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3160210Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1309]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3160500Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1310]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 1, 3], constant_buffer_size=786432, segment_offset=65668544) 2025-06-05T19:06:24.3160760Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1311]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3161050Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1312]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 3, 1], constant_buffer_size=786432, segment_offset=66454976) 2025-06-05T19:06:24.3161310Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1313]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3161580Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1314]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67241408) 2025-06-05T19:06:24.3161850Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1315]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67241920) 2025-06-05T19:06:24.3162110Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1316]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67242432) 2025-06-05T19:06:24.3162380Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1317]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67242944) 2025-06-05T19:06:24.3162650Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1318]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3162900Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1319]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3163180Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1320]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3163450Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1321]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67243456) 2025-06-05T19:06:24.3163720Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1322]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67243968) 2025-06-05T19:06:24.3163980Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1323]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67244480) 2025-06-05T19:06:24.3164250Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1324]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=67244992) 2025-06-05T19:06:24.3164540Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1325]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3164790Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1326]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3165030Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1327]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3165290Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1328]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3165630Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1329]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3165890Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1330]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3166160Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1331]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3166450Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1332]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=67245504) 2025-06-05T19:06:24.3166710Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1333]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3167010Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1334]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=68031936) 2025-06-05T19:06:24.3167270Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1335]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3167560Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1336]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=69211584) 2025-06-05T19:06:24.3167820Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1337]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3168090Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1338]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3168350Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1339]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=70391232) 2025-06-05T19:06:24.3168620Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1340]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=70391744) 2025-06-05T19:06:24.3168910Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1341]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=70392256) 2025-06-05T19:06:24.3169180Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1342]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=70392768) 2025-06-05T19:06:24.3169440Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1343]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3169690Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1344]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3169940Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1345]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3170210Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1346]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70393280) 2025-06-05T19:06:24.3170500Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1347]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70394048) 2025-06-05T19:06:24.3170770Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1348]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70394816) 2025-06-05T19:06:24.3171030Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1349]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70395584) 2025-06-05T19:06:24.3171320Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1350]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3171620Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1351]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3171880Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1352]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3172140Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1353]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70396352) 2025-06-05T19:06:24.3172410Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1354]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70397120) 2025-06-05T19:06:24.3172680Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1355]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70397888) 2025-06-05T19:06:24.3172950Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1356]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=70398656) 2025-06-05T19:06:24.3173210Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1357]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3173460Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1358]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3173720Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1359]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3174010Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1360]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=70399424) 2025-06-05T19:06:24.3174270Z [INFO 2025-06-05 19:06:24,267 mps_preprocess.py:291] [1361]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3174540Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1362]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=71185856) 2025-06-05T19:06:24.3174830Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1363]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=71186368) 2025-06-05T19:06:24.3175100Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1364]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=71186880) 2025-06-05T19:06:24.3175370Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1365]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=71187392) 2025-06-05T19:06:24.3175630Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1366]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3175890Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1367]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3176140Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1368]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3176430Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1369]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3176690Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1370]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3176950Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1371]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3177330Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1372]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 1, 3], constant_buffer_size=589824, segment_offset=71187904) 2025-06-05T19:06:24.3177590Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1373]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3177880Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1374]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 3, 1], constant_buffer_size=589824, segment_offset=71777728) 2025-06-05T19:06:24.3178140Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1375]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3178430Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1376]: MPSTensor(datatype=1, num_dims=4, dims=[448, 384, 3, 1], constant_buffer_size=1032192, segment_offset=72367552) 2025-06-05T19:06:24.3178690Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1377]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3178950Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1378]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3179220Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1379]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73399744) 2025-06-05T19:06:24.3179480Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1380]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73400256) 2025-06-05T19:06:24.3179750Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1381]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73400768) 2025-06-05T19:06:24.3180020Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1382]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73401280) 2025-06-05T19:06:24.3180280Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1383]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3180530Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1384]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3180800Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1385]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3181070Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1386]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73401792) 2025-06-05T19:06:24.3181330Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1387]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73402304) 2025-06-05T19:06:24.3181600Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1388]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73402816) 2025-06-05T19:06:24.3181870Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1389]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=73403328) 2025-06-05T19:06:24.3182160Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1390]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3182410Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1391]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3182660Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1392]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3182950Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1393]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=73403840) 2025-06-05T19:06:24.3183270Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1394]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=73404736) 2025-06-05T19:06:24.3183540Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1395]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=73405632) 2025-06-05T19:06:24.3183810Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1396]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=73406528) 2025-06-05T19:06:24.3184070Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1397]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3184320Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1398]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3184580Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1399]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3184830Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1400]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3185100Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1401]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3185360Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1402]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3185610Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1403]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3185910Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1404]: MPSTensor(datatype=1, num_dims=4, dims=[512, 448, 1, 3], constant_buffer_size=1376256, segment_offset=73407424) 2025-06-05T19:06:24.3186170Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1405]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3186470Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1406]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=74783680) 2025-06-05T19:06:24.3186750Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1407]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=74784704) 2025-06-05T19:06:24.3187010Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1408]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=74785728) 2025-06-05T19:06:24.3187280Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1409]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=74786752) 2025-06-05T19:06:24.3187540Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1410]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3187790Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1411]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3188070Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1412]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3188330Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1413]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3188620Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1414]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 1, 3], constant_buffer_size=786432, segment_offset=74787776) 2025-06-05T19:06:24.3188900Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1415]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3189250Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1416]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 3, 1], constant_buffer_size=786432, segment_offset=75574208) 2025-06-05T19:06:24.3189520Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1417]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3189790Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1418]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76360640) 2025-06-05T19:06:24.3190050Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1419]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76361152) 2025-06-05T19:06:24.3190320Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1420]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76361664) 2025-06-05T19:06:24.3190590Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1421]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76362176) 2025-06-05T19:06:24.3190850Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1422]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3191100Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1423]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3191350Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1424]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3191620Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1425]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76362688) 2025-06-05T19:06:24.3191890Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1426]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76363200) 2025-06-05T19:06:24.3192160Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1427]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76363712) 2025-06-05T19:06:24.3192450Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1428]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=76364224) 2025-06-05T19:06:24.3192710Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1429]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3192960Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1430]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3193210Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1431]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3193470Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1432]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3193730Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1433]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3194010Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1434]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3194280Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1435]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3194580Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1436]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=76364736) 2025-06-05T19:06:24.3194920Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1437]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3195210Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1438]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=77151168) 2025-06-05T19:06:24.3195480Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1439]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3195760Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1440]: MPSTensor(datatype=1, num_dims=4, dims=[384, 1536, 1, 1], constant_buffer_size=1179648, segment_offset=78330816) 2025-06-05T19:06:24.3196020Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1441]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3196290Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1442]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3196560Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1443]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=79510464) 2025-06-05T19:06:24.3196830Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1444]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=79510976) 2025-06-05T19:06:24.3197100Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1445]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=79511488) 2025-06-05T19:06:24.3197370Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1446]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=79512000) 2025-06-05T19:06:24.3197640Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1447]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3197890Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1448]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3198140Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1449]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3198440Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1450]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79512512) 2025-06-05T19:06:24.3198710Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1451]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79513280) 2025-06-05T19:06:24.3198980Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1452]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79514048) 2025-06-05T19:06:24.3199250Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1453]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79514816) 2025-06-05T19:06:24.3199510Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1454]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3199800Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1455]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3200050Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1456]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3200320Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1457]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79515584) 2025-06-05T19:06:24.3200620Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1458]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79516352) 2025-06-05T19:06:24.3200940Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1459]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79517120) 2025-06-05T19:06:24.3201210Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1460]: MPSTensor(datatype=1, num_dims=1, dims=[384], constant_buffer_size=768, segment_offset=79517888) 2025-06-05T19:06:24.3201470Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1461]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3201720Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1462]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3201970Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1463]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3202270Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1464]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1536, 1, 1], constant_buffer_size=786432, segment_offset=79518656) 2025-06-05T19:06:24.3202530Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1465]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3202800Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1466]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=80305088) 2025-06-05T19:06:24.3203070Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1467]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=80305600) 2025-06-05T19:06:24.3203330Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1468]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=80306112) 2025-06-05T19:06:24.3203600Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1469]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=80306624) 2025-06-05T19:06:24.3203860Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1470]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3204130Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1471]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3204380Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1472]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3204640Z [INFO 2025-06-05 19:06:24,268 mps_preprocess.py:291] [1473]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3204900Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1474]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3205160Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1475]: MPSTensor(datatype=2, num_dims=4, dims=[1, 384, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3205460Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1476]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 1, 3], constant_buffer_size=589824, segment_offset=80307136) 2025-06-05T19:06:24.3205740Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1477]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3206030Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1478]: MPSTensor(datatype=1, num_dims=4, dims=[256, 384, 3, 1], constant_buffer_size=589824, segment_offset=80896960) 2025-06-05T19:06:24.3206300Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1479]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3206660Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1480]: MPSTensor(datatype=1, num_dims=4, dims=[448, 384, 3, 1], constant_buffer_size=1032192, segment_offset=81486784) 2025-06-05T19:06:24.3206930Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1481]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3207190Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1482]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3207460Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1483]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82518976) 2025-06-05T19:06:24.3207730Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1484]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82519488) 2025-06-05T19:06:24.3208000Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1485]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82520000) 2025-06-05T19:06:24.3208270Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1486]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82520512) 2025-06-05T19:06:24.3208540Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1487]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3208790Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1488]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3209040Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1489]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3209310Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1490]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82521024) 2025-06-05T19:06:24.3209580Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1491]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82521536) 2025-06-05T19:06:24.3209850Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1492]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82522048) 2025-06-05T19:06:24.3210160Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1493]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=82522560) 2025-06-05T19:06:24.3210430Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1494]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3210680Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1495]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3210930Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1496]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3211200Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1497]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=82523072) 2025-06-05T19:06:24.3211490Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1498]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=82523968) 2025-06-05T19:06:24.3211760Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1499]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=82524864) 2025-06-05T19:06:24.3212020Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1500]: MPSTensor(datatype=1, num_dims=1, dims=[448], constant_buffer_size=896, segment_offset=82525760) 2025-06-05T19:06:24.3212280Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1501]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3212620Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1502]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3212870Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1503]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3213130Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1504]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3213390Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1505]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3213640Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1506]: MPSTensor(datatype=2, num_dims=4, dims=[1, 448, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3213910Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1507]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3214200Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1508]: MPSTensor(datatype=1, num_dims=4, dims=[512, 448, 1, 3], constant_buffer_size=1376256, segment_offset=82526656) 2025-06-05T19:06:24.3214460Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1509]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3214730Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1510]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=83902912) 2025-06-05T19:06:24.3215000Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1511]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=83903936) 2025-06-05T19:06:24.3215270Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1512]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=83904960) 2025-06-05T19:06:24.3215540Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1513]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=83905984) 2025-06-05T19:06:24.3215800Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1514]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3216070Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1515]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3216330Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1516]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3216580Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1517]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3216870Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1518]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 1, 3], constant_buffer_size=786432, segment_offset=83907008) 2025-06-05T19:06:24.3217140Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1519]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3217440Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1520]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 3, 1], constant_buffer_size=786432, segment_offset=84693440) 2025-06-05T19:06:24.3217700Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1521]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3217970Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1522]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85479872) 2025-06-05T19:06:24.3218250Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1523]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85480384) 2025-06-05T19:06:24.3218570Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1524]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85480896) 2025-06-05T19:06:24.3218840Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1525]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85481408) 2025-06-05T19:06:24.3219100Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1526]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3219350Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1527]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3219600Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1528]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3219870Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1529]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85481920) 2025-06-05T19:06:24.3220140Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1530]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85482432) 2025-06-05T19:06:24.3220410Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1531]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85482944) 2025-06-05T19:06:24.3220670Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1532]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=85483456) 2025-06-05T19:06:24.3220930Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1533]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3221180Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1534]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3221440Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1535]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3221720Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1536]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3221980Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1537]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3222240Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1538]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3222510Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1539]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3222770Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1540]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1536, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3223030Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1541]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1536], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3223340Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1542]: MPSTensor(datatype=1, num_dims=1, dims=[1000], constant_buffer_size=2000, segment_offset=85483968) 2025-06-05T19:06:24.3223600Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:291] [1543]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:06:24.3223710Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:292] Input ids: 2025-06-05T19:06:24.3223800Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:294] 0 2025-06-05T19:06:24.3224000Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:295] Constant ids: 2025-06-05T19:06:24.3224090Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 1 2025-06-05T19:06:24.3224180Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 3 2025-06-05T19:06:24.3224260Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 5 2025-06-05T19:06:24.3224340Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 6 2025-06-05T19:06:24.3224430Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 7 2025-06-05T19:06:24.3224510Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 8 2025-06-05T19:06:24.3224590Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 13 2025-06-05T19:06:24.3224680Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 15 2025-06-05T19:06:24.3224760Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 16 2025-06-05T19:06:24.3224840Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 17 2025-06-05T19:06:24.3224930Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 18 2025-06-05T19:06:24.3225010Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 23 2025-06-05T19:06:24.3225100Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 25 2025-06-05T19:06:24.3225180Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 26 2025-06-05T19:06:24.3225260Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 27 2025-06-05T19:06:24.3225340Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 28 2025-06-05T19:06:24.3225430Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 35 2025-06-05T19:06:24.3225510Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 37 2025-06-05T19:06:24.3225600Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 38 2025-06-05T19:06:24.3225680Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 39 2025-06-05T19:06:24.3225760Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 40 2025-06-05T19:06:24.3225840Z [INFO 2025-06-05 19:06:24,269 mps_preprocess.py:297] 46 2025-06-05T19:06:24.3225930Z [INFO 2025-06-05 19:06:24,269 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mps_preprocess.py:297] 1510 2025-06-05T19:07:37.2707410Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1511 2025-06-05T19:07:37.2707830Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1512 2025-06-05T19:07:37.2708090Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1513 2025-06-05T19:07:37.2708350Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1518 2025-06-05T19:07:37.2708610Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1520 2025-06-05T19:07:37.2708870Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1522 2025-06-05T19:07:37.2709120Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1523 2025-06-05T19:07:37.2709380Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1524 2025-06-05T19:07:37.2709630Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1525 2025-06-05T19:07:37.2709870Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1529 2025-06-05T19:07:37.2710130Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1530 2025-06-05T19:07:37.2710380Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1531 2025-06-05T19:07:37.2710630Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1532 2025-06-05T19:07:37.2710880Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:297] 1542 2025-06-05T19:07:37.2711150Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:298] Output ids: 2025-06-05T19:07:37.2711420Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:300] 1543 2025-06-05T19:07:37.2711770Z [INFO 2025-06-05 19:06:24,275 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:07:37.2712130Z [INFO 2025-06-05 19:06:24,545 mps_example.py:185] Lowered graph: 2025-06-05T19:07:37.2712340Z graph(): 2025-06-05T19:07:37.2712470Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:07:37.2712730Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:07:37.2713260Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2025-06-05T19:07:37.2713900Z %getitem_153 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:07:37.2714260Z return (getitem_153,) 2025-06-05T19:07:37.2714540Z [DEBUG 2025-06-05 19:06:25,095 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:07:37.2715100Z [DEBUG 2025-06-05 19:06:25,095 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:07:37.2715600Z [DEBUG 2025-06-05 19:06:25,095 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 1076816] 2025-06-05T19:07:37.2716030Z [DEBUG 2025-06-05 19:06:25,095 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:07:37.2716710Z [DEBUG 2025-06-05 19:06:25,095 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:07:37.2717330Z [INFO 2025-06-05 19:07:18,783 utils.py:141] Saved exported program to ic4_mps_float16.pte 2025-06-05T19:07:37.2717550Z 2025-06-05T19:07:37.2717640Z ++ find . -type f -name 'ic4*.pte' -print -quit 2025-06-05T19:07:37.2717860Z + EXPORTED_MODEL=./ic4_mps_float16.pte 2025-06-05T19:07:37.2718040Z + [[ 0 -eq 0 ]] 2025-06-05T19:07:37.2718250Z + prepare_artifacts_upload 2025-06-05T19:07:37.2718400Z + '[' -n '' ']' 2025-06-05T19:07:37.2718700Z ##[endgroup] 2025-06-05T19:07:37.2718930Z ##[group]Exporting coreml model: resnet50 2025-06-05T19:07:37.2719130Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:07:37.2719310Z + source .ci/scripts/utils.sh 2025-06-05T19:07:37.2719460Z + MODEL_NAME=resnet50 2025-06-05T19:07:37.2719590Z + [[ -z resnet50 ]] 2025-06-05T19:07:37.2719720Z + BUILD_TOOL=cmake 2025-06-05T19:07:37.2719830Z + [[ -z cmake ]] 2025-06-05T19:07:37.2719950Z + BACKEND=coreml 2025-06-05T19:07:37.2720060Z + [[ -z coreml ]] 2025-06-05T19:07:37.2720180Z + UPLOAD_DIR= 2025-06-05T19:07:37.2720290Z + [[ -z python ]] 2025-06-05T19:07:37.2720470Z + which python 2025-06-05T19:07:37.2720750Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:07:37.2721020Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:07:37.2721180Z + EXPORTED_MODEL=resnet50 2025-06-05T19:07:37.2721330Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:07:37.2721500Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:07:37.2721650Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:07:37.2721820Z + echo 'Testing resnet50 with coreml...' 2025-06-05T19:07:37.2722000Z Testing resnet50 with coreml... 2025-06-05T19:07:37.2722160Z + should_test_coreml=false 2025-06-05T19:07:37.2722300Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:07:37.2722460Z + test_model_with_coreml false 2025-06-05T19:07:37.2722610Z + local should_test=false 2025-06-05T19:07:37.2722760Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:07:37.2722900Z + DTYPE=float16 2025-06-05T19:07:37.2723220Z + python -m examples.apple.coreml.scripts.export --model_name=resnet50 --compute_precision float16 --use_partitioner 2025-06-05T19:07:37.2723880Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:07:37.2724640Z W0605 19:07:24.455000 12182 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:07:37.2725390Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:07:37.2725760Z 2025-06-05T19:07:37.2725900Z Converting PyTorch Frontend ==> MIL Ops: 0%| | 0/230 [00:00 MIL Ops: 100%|█████████▉| 229/230 [00:00<00:00, 4360.40 ops/s] 2025-06-05T19:07:37.2726670Z 2025-06-05T19:07:37.2726820Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00: schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (x, p_conv1_weight, None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8246410Z call_function aten_permute_copy_default : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_fc_weight, [1, 0]) {} 2025-06-05T19:07:38.8247990Z call_function aten__native_batch_norm_legit_no_training_default : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default, p_bn1_weight, p_bn1_bias, b_bn1_running_mean, b_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8249520Z call_function getitem (aten__native_batch_norm_legit_no_training_default, 0) {} 2025-06-05T19:07:38.8250390Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (getitem,) {} 2025-06-05T19:07:38.8251660Z call_function aten_max_pool2d_with_indices_default : schema = aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) (aten_relu_default, [3, 3], [2, 2], [1, 1]) {} 2025-06-05T19:07:38.8252850Z call_function getitem_1 (aten_max_pool2d_with_indices_default, 0) {} 2025-06-05T19:07:38.8254150Z call_function aten_convolution_default_1 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_1, p_layer1_0_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8255930Z call_function aten_convolution_default_2 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (getitem_1, p_layer1_0_downsample_0_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8257930Z call_function aten__native_batch_norm_legit_no_training_default_1 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_1, p_layer1_0_bn1_weight, p_layer1_0_bn1_bias, b_layer1_0_bn1_running_mean, b_layer1_0_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8260190Z call_function aten__native_batch_norm_legit_no_training_default_2 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_2, p_layer1_0_downsample_1_weight, p_layer1_0_downsample_1_bias, b_layer1_0_downsample_1_running_mean, b_layer1_0_downsample_1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8261810Z call_function getitem_2 (aten__native_batch_norm_legit_no_training_default_1, 0) {} 2025-06-05T19:07:38.8262630Z call_function getitem_3 (aten__native_batch_norm_legit_no_training_default_2, 0) {} 2025-06-05T19:07:38.8263560Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (getitem_2,) {} 2025-06-05T19:07:38.8264960Z call_function aten_convolution_default_3 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_1, p_layer1_0_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8266970Z call_function aten__native_batch_norm_legit_no_training_default_3 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_3, p_layer1_0_bn2_weight, p_layer1_0_bn2_bias, b_layer1_0_bn2_running_mean, b_layer1_0_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8268500Z call_function getitem_4 (aten__native_batch_norm_legit_no_training_default_3, 0) {} 2025-06-05T19:07:38.8269370Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (getitem_4,) {} 2025-06-05T19:07:38.8270790Z call_function aten_convolution_default_4 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_2, p_layer1_0_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8272920Z call_function aten__native_batch_norm_legit_no_training_default_4 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_4, p_layer1_0_bn3_weight, p_layer1_0_bn3_bias, b_layer1_0_bn3_running_mean, b_layer1_0_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8274680Z call_function getitem_5 (aten__native_batch_norm_legit_no_training_default_4, 0) {} 2025-06-05T19:07:38.8275710Z call_function aten_add_tensor : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_5, getitem_3) {} 2025-06-05T19:07:38.8276770Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor,) {} 2025-06-05T19:07:38.8278150Z call_function aten_convolution_default_5 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_3, p_layer1_1_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8280180Z call_function aten__native_batch_norm_legit_no_training_default_5 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_5, p_layer1_1_bn1_weight, p_layer1_1_bn1_bias, b_layer1_1_bn1_running_mean, b_layer1_1_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8281700Z call_function getitem_6 (aten__native_batch_norm_legit_no_training_default_5, 0) {} 2025-06-05T19:07:38.8282670Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (getitem_6,) {} 2025-06-05T19:07:38.8284030Z call_function aten_convolution_default_6 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_4, p_layer1_1_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8286140Z call_function aten__native_batch_norm_legit_no_training_default_6 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_6, p_layer1_1_bn2_weight, p_layer1_1_bn2_bias, b_layer1_1_bn2_running_mean, b_layer1_1_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8287680Z call_function getitem_7 (aten__native_batch_norm_legit_no_training_default_6, 0) {} 2025-06-05T19:07:38.8288580Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (getitem_7,) {} 2025-06-05T19:07:38.8289950Z call_function aten_convolution_default_7 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_5, p_layer1_1_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8291950Z call_function aten__native_batch_norm_legit_no_training_default_7 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_7, p_layer1_1_bn3_weight, p_layer1_1_bn3_bias, b_layer1_1_bn3_running_mean, b_layer1_1_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8293550Z call_function getitem_8 (aten__native_batch_norm_legit_no_training_default_7, 0) {} 2025-06-05T19:07:38.8294550Z call_function aten_add_tensor_1 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_8, aten_relu_default_3) {} 2025-06-05T19:07:38.8295620Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_1,) {} 2025-06-05T19:07:38.8297050Z call_function aten_convolution_default_8 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_6, p_layer1_2_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8299070Z call_function aten__native_batch_norm_legit_no_training_default_8 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_8, p_layer1_2_bn1_weight, p_layer1_2_bn1_bias, b_layer1_2_bn1_running_mean, b_layer1_2_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8300610Z call_function getitem_9 (aten__native_batch_norm_legit_no_training_default_8, 0) {} 2025-06-05T19:07:38.8301510Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (getitem_9,) {} 2025-06-05T19:07:38.8302860Z call_function aten_convolution_default_9 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_7, p_layer1_2_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8304910Z call_function aten__native_batch_norm_legit_no_training_default_9 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_9, p_layer1_2_bn2_weight, p_layer1_2_bn2_bias, b_layer1_2_bn2_running_mean, b_layer1_2_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8306440Z call_function getitem_10 (aten__native_batch_norm_legit_no_training_default_9, 0) {} 2025-06-05T19:07:38.8307400Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (getitem_10,) {} 2025-06-05T19:07:38.8314540Z call_function aten_convolution_default_10 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_8, p_layer1_2_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8316540Z call_function aten__native_batch_norm_legit_no_training_default_10 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_10, p_layer1_2_bn3_weight, p_layer1_2_bn3_bias, b_layer1_2_bn3_running_mean, b_layer1_2_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8318070Z call_function getitem_11 (aten__native_batch_norm_legit_no_training_default_10, 0) {} 2025-06-05T19:07:38.8319030Z call_function aten_add_tensor_2 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_11, aten_relu_default_6) {} 2025-06-05T19:07:38.8320130Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_2,) {} 2025-06-05T19:07:38.8321480Z call_function aten_convolution_default_11 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_9, p_layer2_0_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8323280Z call_function aten_convolution_default_12 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_9, p_layer2_0_downsample_0_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8325340Z call_function aten__native_batch_norm_legit_no_training_default_11 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_11, p_layer2_0_bn1_weight, p_layer2_0_bn1_bias, b_layer2_0_bn1_running_mean, b_layer2_0_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8327600Z call_function aten__native_batch_norm_legit_no_training_default_12 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_12, p_layer2_0_downsample_1_weight, p_layer2_0_downsample_1_bias, b_layer2_0_downsample_1_running_mean, b_layer2_0_downsample_1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8329140Z call_function getitem_12 (aten__native_batch_norm_legit_no_training_default_11, 0) {} 2025-06-05T19:07:38.8329970Z call_function getitem_13 (aten__native_batch_norm_legit_no_training_default_12, 0) {} 2025-06-05T19:07:38.8330830Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (getitem_12,) {} 2025-06-05T19:07:38.8332230Z call_function aten_convolution_default_13 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_10, p_layer2_0_conv2_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8334210Z call_function aten__native_batch_norm_legit_no_training_default_13 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_13, p_layer2_0_bn2_weight, p_layer2_0_bn2_bias, b_layer2_0_bn2_running_mean, b_layer2_0_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8335750Z call_function getitem_14 (aten__native_batch_norm_legit_no_training_default_13, 0) {} 2025-06-05T19:07:38.8336650Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (getitem_14,) {} 2025-06-05T19:07:38.8338000Z call_function aten_convolution_default_14 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_11, p_layer2_0_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8339980Z call_function aten__native_batch_norm_legit_no_training_default_14 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_14, p_layer2_0_bn3_weight, p_layer2_0_bn3_bias, b_layer2_0_bn3_running_mean, b_layer2_0_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8341480Z call_function getitem_15 (aten__native_batch_norm_legit_no_training_default_14, 0) {} 2025-06-05T19:07:38.8342490Z call_function aten_add_tensor_3 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_15, getitem_13) {} 2025-06-05T19:07:38.8343490Z call_function aten_relu_default_12 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_3,) {} 2025-06-05T19:07:38.8344850Z call_function aten_convolution_default_15 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_12, p_layer2_1_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8346900Z call_function aten__native_batch_norm_legit_no_training_default_15 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_15, p_layer2_1_bn1_weight, p_layer2_1_bn1_bias, b_layer2_1_bn1_running_mean, b_layer2_1_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8348430Z call_function getitem_16 (aten__native_batch_norm_legit_no_training_default_15, 0) {} 2025-06-05T19:07:38.8349300Z call_function aten_relu_default_13 : schema = aten::relu(Tensor self) -> Tensor (getitem_16,) {} 2025-06-05T19:07:38.8350650Z call_function aten_convolution_default_16 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_13, p_layer2_1_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8352630Z call_function aten__native_batch_norm_legit_no_training_default_16 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_16, p_layer2_1_bn2_weight, p_layer2_1_bn2_bias, b_layer2_1_bn2_running_mean, b_layer2_1_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8354190Z call_function getitem_17 (aten__native_batch_norm_legit_no_training_default_16, 0) {} 2025-06-05T19:07:38.8355060Z call_function aten_relu_default_14 : schema = aten::relu(Tensor self) -> Tensor (getitem_17,) {} 2025-06-05T19:07:38.8356440Z call_function aten_convolution_default_17 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_14, p_layer2_1_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8358450Z call_function aten__native_batch_norm_legit_no_training_default_17 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_17, p_layer2_1_bn3_weight, p_layer2_1_bn3_bias, b_layer2_1_bn3_running_mean, b_layer2_1_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8359960Z call_function getitem_18 (aten__native_batch_norm_legit_no_training_default_17, 0) {} 2025-06-05T19:07:38.8360930Z call_function aten_add_tensor_4 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_18, aten_relu_default_12) {} 2025-06-05T19:07:38.8361950Z call_function aten_relu_default_15 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_4,) {} 2025-06-05T19:07:38.8363310Z call_function aten_convolution_default_18 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_15, p_layer2_2_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8365350Z call_function aten__native_batch_norm_legit_no_training_default_18 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_18, p_layer2_2_bn1_weight, p_layer2_2_bn1_bias, b_layer2_2_bn1_running_mean, b_layer2_2_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8366860Z call_function getitem_19 (aten__native_batch_norm_legit_no_training_default_18, 0) {} 2025-06-05T19:07:38.8367780Z call_function aten_relu_default_16 : schema = aten::relu(Tensor self) -> Tensor (getitem_19,) {} 2025-06-05T19:07:38.8369190Z call_function aten_convolution_default_19 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_16, p_layer2_2_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8371160Z call_function aten__native_batch_norm_legit_no_training_default_19 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_19, p_layer2_2_bn2_weight, p_layer2_2_bn2_bias, b_layer2_2_bn2_running_mean, b_layer2_2_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8372690Z call_function getitem_20 (aten__native_batch_norm_legit_no_training_default_19, 0) {} 2025-06-05T19:07:38.8373550Z call_function aten_relu_default_17 : schema = aten::relu(Tensor self) -> Tensor (getitem_20,) {} 2025-06-05T19:07:38.8374940Z call_function aten_convolution_default_20 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_17, p_layer2_2_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8376920Z call_function aten__native_batch_norm_legit_no_training_default_20 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_20, p_layer2_2_bn3_weight, p_layer2_2_bn3_bias, b_layer2_2_bn3_running_mean, b_layer2_2_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8378480Z call_function getitem_21 (aten__native_batch_norm_legit_no_training_default_20, 0) {} 2025-06-05T19:07:38.8379460Z call_function aten_add_tensor_5 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_21, aten_relu_default_15) {} 2025-06-05T19:07:38.8380490Z call_function aten_relu_default_18 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_5,) {} 2025-06-05T19:07:38.8381880Z call_function aten_convolution_default_21 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_18, p_layer2_3_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8384020Z call_function aten__native_batch_norm_legit_no_training_default_21 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_21, p_layer2_3_bn1_weight, p_layer2_3_bn1_bias, b_layer2_3_bn1_running_mean, b_layer2_3_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8385550Z call_function getitem_22 (aten__native_batch_norm_legit_no_training_default_21, 0) {} 2025-06-05T19:07:38.8386580Z call_function aten_relu_default_19 : schema = aten::relu(Tensor self) -> Tensor (getitem_22,) {} 2025-06-05T19:07:38.8387940Z call_function aten_convolution_default_22 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_19, p_layer2_3_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8390040Z call_function aten__native_batch_norm_legit_no_training_default_22 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_22, p_layer2_3_bn2_weight, p_layer2_3_bn2_bias, b_layer2_3_bn2_running_mean, b_layer2_3_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8391580Z call_function getitem_23 (aten__native_batch_norm_legit_no_training_default_22, 0) {} 2025-06-05T19:07:38.8392450Z call_function aten_relu_default_20 : schema = aten::relu(Tensor self) -> Tensor (getitem_23,) {} 2025-06-05T19:07:38.8393810Z call_function aten_convolution_default_23 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_20, p_layer2_3_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8395810Z call_function aten__native_batch_norm_legit_no_training_default_23 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_23, p_layer2_3_bn3_weight, p_layer2_3_bn3_bias, b_layer2_3_bn3_running_mean, b_layer2_3_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8397410Z call_function getitem_24 (aten__native_batch_norm_legit_no_training_default_23, 0) {} 2025-06-05T19:07:38.8398400Z call_function aten_add_tensor_6 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_24, aten_relu_default_18) {} 2025-06-05T19:07:38.8399470Z call_function aten_relu_default_21 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_6,) {} 2025-06-05T19:07:38.8400870Z call_function aten_convolution_default_24 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_21, p_layer3_0_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8402720Z call_function aten_convolution_default_25 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_21, p_layer3_0_downsample_0_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8404740Z call_function aten__native_batch_norm_legit_no_training_default_24 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_24, p_layer3_0_bn1_weight, p_layer3_0_bn1_bias, b_layer3_0_bn1_running_mean, b_layer3_0_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8406990Z call_function aten__native_batch_norm_legit_no_training_default_25 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_25, p_layer3_0_downsample_1_weight, p_layer3_0_downsample_1_bias, b_layer3_0_downsample_1_running_mean, b_layer3_0_downsample_1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8408550Z call_function getitem_25 (aten__native_batch_norm_legit_no_training_default_24, 0) {} 2025-06-05T19:07:38.8409440Z call_function getitem_26 (aten__native_batch_norm_legit_no_training_default_25, 0) {} 2025-06-05T19:07:38.8410320Z call_function aten_relu_default_22 : schema = aten::relu(Tensor self) -> Tensor (getitem_25,) {} 2025-06-05T19:07:38.8411750Z call_function aten_convolution_default_26 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_22, p_layer3_0_conv2_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8413790Z call_function aten__native_batch_norm_legit_no_training_default_26 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_26, p_layer3_0_bn2_weight, p_layer3_0_bn2_bias, b_layer3_0_bn2_running_mean, b_layer3_0_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8415320Z call_function getitem_27 (aten__native_batch_norm_legit_no_training_default_26, 0) {} 2025-06-05T19:07:38.8416190Z call_function aten_relu_default_23 : schema = aten::relu(Tensor self) -> Tensor (getitem_27,) {} 2025-06-05T19:07:38.8417560Z call_function aten_convolution_default_27 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_23, p_layer3_0_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8419630Z call_function aten__native_batch_norm_legit_no_training_default_27 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_27, p_layer3_0_bn3_weight, p_layer3_0_bn3_bias, b_layer3_0_bn3_running_mean, b_layer3_0_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8421170Z call_function getitem_28 (aten__native_batch_norm_legit_no_training_default_27, 0) {} 2025-06-05T19:07:38.8422150Z call_function aten_add_tensor_7 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_28, getitem_26) {} 2025-06-05T19:07:38.8423160Z call_function aten_relu_default_24 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_7,) {} 2025-06-05T19:07:38.8424560Z call_function aten_convolution_default_28 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_24, p_layer3_1_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8426550Z call_function aten__native_batch_norm_legit_no_training_default_28 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_28, p_layer3_1_bn1_weight, p_layer3_1_bn1_bias, b_layer3_1_bn1_running_mean, b_layer3_1_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8428070Z call_function getitem_29 (aten__native_batch_norm_legit_no_training_default_28, 0) {} 2025-06-05T19:07:38.8428960Z call_function aten_relu_default_25 : schema = aten::relu(Tensor self) -> Tensor (getitem_29,) {} 2025-06-05T19:07:38.8430380Z call_function aten_convolution_default_29 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_25, p_layer3_1_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8432390Z call_function aten__native_batch_norm_legit_no_training_default_29 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_29, p_layer3_1_bn2_weight, p_layer3_1_bn2_bias, b_layer3_1_bn2_running_mean, b_layer3_1_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8434000Z call_function getitem_30 (aten__native_batch_norm_legit_no_training_default_29, 0) {} 2025-06-05T19:07:38.8434900Z call_function aten_relu_default_26 : schema = aten::relu(Tensor self) -> Tensor (getitem_30,) {} 2025-06-05T19:07:38.8436240Z call_function aten_convolution_default_30 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_26, p_layer3_1_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8438220Z call_function aten__native_batch_norm_legit_no_training_default_30 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_30, p_layer3_1_bn3_weight, p_layer3_1_bn3_bias, b_layer3_1_bn3_running_mean, b_layer3_1_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8439730Z call_function getitem_31 (aten__native_batch_norm_legit_no_training_default_30, 0) {} 2025-06-05T19:07:38.8440760Z call_function aten_add_tensor_8 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_31, aten_relu_default_24) {} 2025-06-05T19:07:38.8441790Z call_function aten_relu_default_27 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_8,) {} 2025-06-05T19:07:38.8443150Z call_function aten_convolution_default_31 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_27, p_layer3_2_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8445200Z call_function aten__native_batch_norm_legit_no_training_default_31 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_31, p_layer3_2_bn1_weight, p_layer3_2_bn1_bias, b_layer3_2_bn1_running_mean, b_layer3_2_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8446740Z call_function getitem_32 (aten__native_batch_norm_legit_no_training_default_31, 0) {} 2025-06-05T19:07:38.8447600Z call_function aten_relu_default_28 : schema = aten::relu(Tensor self) -> Tensor (getitem_32,) {} 2025-06-05T19:07:38.8448980Z call_function aten_convolution_default_32 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_28, p_layer3_2_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8450960Z call_function aten__native_batch_norm_legit_no_training_default_32 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_32, p_layer3_2_bn2_weight, p_layer3_2_bn2_bias, b_layer3_2_bn2_running_mean, b_layer3_2_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8452540Z call_function getitem_33 (aten__native_batch_norm_legit_no_training_default_32, 0) {} 2025-06-05T19:07:38.8453410Z call_function aten_relu_default_29 : schema = aten::relu(Tensor self) -> Tensor (getitem_33,) {} 2025-06-05T19:07:38.8454840Z call_function aten_convolution_default_33 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_29, p_layer3_2_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8456850Z call_function aten__native_batch_norm_legit_no_training_default_33 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_33, p_layer3_2_bn3_weight, p_layer3_2_bn3_bias, b_layer3_2_bn3_running_mean, b_layer3_2_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8458360Z call_function getitem_34 (aten__native_batch_norm_legit_no_training_default_33, 0) {} 2025-06-05T19:07:38.8459320Z call_function aten_add_tensor_9 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_34, aten_relu_default_27) {} 2025-06-05T19:07:38.8460330Z call_function aten_relu_default_30 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_9,) {} 2025-06-05T19:07:38.8461750Z call_function aten_convolution_default_34 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_30, p_layer3_3_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8463730Z call_function aten__native_batch_norm_legit_no_training_default_34 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_34, p_layer3_3_bn1_weight, p_layer3_3_bn1_bias, b_layer3_3_bn1_running_mean, b_layer3_3_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8465230Z call_function getitem_35 (aten__native_batch_norm_legit_no_training_default_34, 0) {} 2025-06-05T19:07:38.8466160Z call_function aten_relu_default_31 : schema = aten::relu(Tensor self) -> Tensor (getitem_35,) {} 2025-06-05T19:07:38.8467530Z call_function aten_convolution_default_35 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_31, p_layer3_3_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8469500Z call_function aten__native_batch_norm_legit_no_training_default_35 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_35, p_layer3_3_bn2_weight, p_layer3_3_bn2_bias, b_layer3_3_bn2_running_mean, b_layer3_3_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8471010Z call_function getitem_36 (aten__native_batch_norm_legit_no_training_default_35, 0) {} 2025-06-05T19:07:38.8471870Z call_function aten_relu_default_32 : schema = aten::relu(Tensor self) -> Tensor (getitem_36,) {} 2025-06-05T19:07:38.8473290Z call_function aten_convolution_default_36 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_32, p_layer3_3_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8475270Z call_function aten__native_batch_norm_legit_no_training_default_36 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_36, p_layer3_3_bn3_weight, p_layer3_3_bn3_bias, b_layer3_3_bn3_running_mean, b_layer3_3_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8476830Z call_function getitem_37 (aten__native_batch_norm_legit_no_training_default_36, 0) {} 2025-06-05T19:07:38.8477870Z call_function aten_add_tensor_10 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_37, aten_relu_default_30) {} 2025-06-05T19:07:38.8478880Z call_function aten_relu_default_33 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_10,) {} 2025-06-05T19:07:38.8480240Z call_function aten_convolution_default_37 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_33, p_layer3_4_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8482270Z call_function aten__native_batch_norm_legit_no_training_default_37 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_37, p_layer3_4_bn1_weight, p_layer3_4_bn1_bias, b_layer3_4_bn1_running_mean, b_layer3_4_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8483850Z call_function getitem_38 (aten__native_batch_norm_legit_no_training_default_37, 0) {} 2025-06-05T19:07:38.8484850Z call_function aten_relu_default_34 : schema = aten::relu(Tensor self) -> Tensor (getitem_38,) {} 2025-06-05T19:07:38.8486200Z call_function aten_convolution_default_38 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_34, p_layer3_4_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8488250Z call_function aten__native_batch_norm_legit_no_training_default_38 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_38, p_layer3_4_bn2_weight, p_layer3_4_bn2_bias, b_layer3_4_bn2_running_mean, b_layer3_4_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8489810Z call_function getitem_39 (aten__native_batch_norm_legit_no_training_default_38, 0) {} 2025-06-05T19:07:38.8490680Z call_function aten_relu_default_35 : schema = aten::relu(Tensor self) -> Tensor (getitem_39,) {} 2025-06-05T19:07:38.8492020Z call_function aten_convolution_default_39 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_35, p_layer3_4_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8494120Z call_function aten__native_batch_norm_legit_no_training_default_39 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_39, p_layer3_4_bn3_weight, p_layer3_4_bn3_bias, b_layer3_4_bn3_running_mean, b_layer3_4_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8495840Z call_function getitem_40 (aten__native_batch_norm_legit_no_training_default_39, 0) {} 2025-06-05T19:07:38.8496860Z call_function aten_add_tensor_11 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_40, aten_relu_default_33) {} 2025-06-05T19:07:38.8497960Z call_function aten_relu_default_36 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_11,) {} 2025-06-05T19:07:38.8499410Z call_function aten_convolution_default_40 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_36, p_layer3_5_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8501400Z call_function aten__native_batch_norm_legit_no_training_default_40 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_40, p_layer3_5_bn1_weight, p_layer3_5_bn1_bias, b_layer3_5_bn1_running_mean, b_layer3_5_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8502910Z call_function getitem_41 (aten__native_batch_norm_legit_no_training_default_40, 0) {} 2025-06-05T19:07:38.8503770Z call_function aten_relu_default_37 : schema = aten::relu(Tensor self) -> Tensor (getitem_41,) {} 2025-06-05T19:07:38.8505110Z call_function aten_convolution_default_41 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_37, p_layer3_5_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8507150Z call_function aten__native_batch_norm_legit_no_training_default_41 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_41, p_layer3_5_bn2_weight, p_layer3_5_bn2_bias, b_layer3_5_bn2_running_mean, b_layer3_5_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8508660Z call_function getitem_42 (aten__native_batch_norm_legit_no_training_default_41, 0) {} 2025-06-05T19:07:38.8509580Z call_function aten_relu_default_38 : schema = aten::relu(Tensor self) -> Tensor (getitem_42,) {} 2025-06-05T19:07:38.8510950Z call_function aten_convolution_default_42 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_38, p_layer3_5_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8512940Z call_function aten__native_batch_norm_legit_no_training_default_42 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_42, p_layer3_5_bn3_weight, p_layer3_5_bn3_bias, b_layer3_5_bn3_running_mean, b_layer3_5_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8514440Z call_function getitem_43 (aten__native_batch_norm_legit_no_training_default_42, 0) {} 2025-06-05T19:07:38.8515420Z call_function aten_add_tensor_12 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_43, aten_relu_default_36) {} 2025-06-05T19:07:38.8516510Z call_function aten_relu_default_39 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_12,) {} 2025-06-05T19:07:38.8517870Z call_function aten_convolution_default_43 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_39, p_layer4_0_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8519710Z call_function aten_convolution_default_44 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_39, p_layer4_0_downsample_0_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8521750Z call_function aten__native_batch_norm_legit_no_training_default_43 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_43, p_layer4_0_bn1_weight, p_layer4_0_bn1_bias, b_layer4_0_bn1_running_mean, b_layer4_0_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8523980Z call_function aten__native_batch_norm_legit_no_training_default_44 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_44, p_layer4_0_downsample_1_weight, p_layer4_0_downsample_1_bias, b_layer4_0_downsample_1_running_mean, b_layer4_0_downsample_1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8525560Z call_function getitem_44 (aten__native_batch_norm_legit_no_training_default_43, 0) {} 2025-06-05T19:07:38.8526390Z call_function getitem_45 (aten__native_batch_norm_legit_no_training_default_44, 0) {} 2025-06-05T19:07:38.8527250Z call_function aten_relu_default_40 : schema = aten::relu(Tensor self) -> Tensor (getitem_44,) {} 2025-06-05T19:07:38.8528650Z call_function aten_convolution_default_45 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_40, p_layer4_0_conv2_weight, None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8530640Z call_function aten__native_batch_norm_legit_no_training_default_45 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_45, p_layer4_0_bn2_weight, p_layer4_0_bn2_bias, b_layer4_0_bn2_running_mean, b_layer4_0_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8532210Z call_function getitem_46 (aten__native_batch_norm_legit_no_training_default_45, 0) {} 2025-06-05T19:07:38.8533090Z call_function aten_relu_default_41 : schema = aten::relu(Tensor self) -> Tensor (getitem_46,) {} 2025-06-05T19:07:38.8534440Z call_function aten_convolution_default_46 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_41, p_layer4_0_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8536460Z call_function aten__native_batch_norm_legit_no_training_default_46 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_46, p_layer4_0_bn3_weight, p_layer4_0_bn3_bias, b_layer4_0_bn3_running_mean, b_layer4_0_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8537970Z call_function getitem_47 (aten__native_batch_norm_legit_no_training_default_46, 0) {} 2025-06-05T19:07:38.8538990Z call_function aten_add_tensor_13 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_47, getitem_45) {} 2025-06-05T19:07:38.8539990Z call_function aten_relu_default_42 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_13,) {} 2025-06-05T19:07:38.8541390Z call_function aten_convolution_default_47 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_42, p_layer4_1_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8543410Z call_function aten__native_batch_norm_legit_no_training_default_47 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_47, p_layer4_1_bn1_weight, p_layer4_1_bn1_bias, b_layer4_1_bn1_running_mean, b_layer4_1_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8544950Z call_function getitem_48 (aten__native_batch_norm_legit_no_training_default_47, 0) {} 2025-06-05T19:07:38.8545820Z call_function aten_relu_default_43 : schema = aten::relu(Tensor self) -> Tensor (getitem_48,) {} 2025-06-05T19:07:38.8547170Z call_function aten_convolution_default_48 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_43, p_layer4_1_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8549150Z call_function aten__native_batch_norm_legit_no_training_default_48 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_48, p_layer4_1_bn2_weight, p_layer4_1_bn2_bias, b_layer4_1_bn2_running_mean, b_layer4_1_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8550720Z call_function getitem_49 (aten__native_batch_norm_legit_no_training_default_48, 0) {} 2025-06-05T19:07:38.8551600Z call_function aten_relu_default_44 : schema = aten::relu(Tensor self) -> Tensor (getitem_49,) {} 2025-06-05T19:07:38.8553110Z call_function aten_convolution_default_49 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_44, p_layer4_1_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8555170Z call_function aten__native_batch_norm_legit_no_training_default_49 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_49, p_layer4_1_bn3_weight, p_layer4_1_bn3_bias, b_layer4_1_bn3_running_mean, b_layer4_1_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8556740Z call_function getitem_50 (aten__native_batch_norm_legit_no_training_default_49, 0) {} 2025-06-05T19:07:38.8557760Z call_function aten_add_tensor_14 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_50, aten_relu_default_42) {} 2025-06-05T19:07:38.8558820Z call_function aten_relu_default_45 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_14,) {} 2025-06-05T19:07:38.8560320Z call_function aten_convolution_default_50 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_45, p_layer4_2_conv1_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8562410Z call_function aten__native_batch_norm_legit_no_training_default_50 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_50, p_layer4_2_bn1_weight, p_layer4_2_bn1_bias, b_layer4_2_bn1_running_mean, b_layer4_2_bn1_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8564050Z call_function getitem_51 (aten__native_batch_norm_legit_no_training_default_50, 0) {} 2025-06-05T19:07:38.8564990Z call_function aten_relu_default_46 : schema = aten::relu(Tensor self) -> Tensor (getitem_51,) {} 2025-06-05T19:07:38.8566460Z call_function aten_convolution_default_51 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_46, p_layer4_2_conv2_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8568510Z call_function aten__native_batch_norm_legit_no_training_default_51 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_51, p_layer4_2_bn2_weight, p_layer4_2_bn2_bias, b_layer4_2_bn2_running_mean, b_layer4_2_bn2_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8568920Z call_function getitem_52 (aten__native_batch_norm_legit_no_training_default_51, 0) {} 2025-06-05T19:07:38.8569360Z call_function aten_relu_default_47 : schema = aten::relu(Tensor self) -> Tensor (getitem_52,) {} 2025-06-05T19:07:38.8570330Z call_function aten_convolution_default_52 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_47, p_layer4_2_conv3_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:07:38.8571430Z call_function aten__native_batch_norm_legit_no_training_default_52 : schema = aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor) (aten_convolution_default_52, p_layer4_2_bn3_weight, p_layer4_2_bn3_bias, b_layer4_2_bn3_running_mean, b_layer4_2_bn3_running_var, 0.1, 1e-05) {} 2025-06-05T19:07:38.8571910Z call_function getitem_53 (aten__native_batch_norm_legit_no_training_default_52, 0) {} 2025-06-05T19:07:38.8572470Z call_function aten_add_tensor_15 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (getitem_53, aten_relu_default_45) {} 2025-06-05T19:07:38.8572910Z call_function aten_relu_default_48 : schema = aten::relu(Tensor self) -> Tensor (aten_add_tensor_15,) {} 2025-06-05T19:07:38.8573470Z call_function aten_mean_dim : schema = aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor (aten_relu_default_48, [-1, -2], True) {} 2025-06-05T19:07:38.8573970Z call_function aten_view_copy_default : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_mean_dim, [1, 2048]) {} 2025-06-05T19:07:38.8574710Z call_function aten_addmm_default : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_fc_bias, aten_view_copy_default, aten_permute_copy_default) {} 2025-06-05T19:07:38.8575150Z output output output ([aten_addmm_default],) {}[DEBUG 2025-06-05 19:07:38,812 node_visitor.py:97] Serializing: x, data type: torch.float32, dims: [1, 3, 224, 224] 2025-06-05T19:07:38.8575430Z [INFO 2025-06-05 19:07:38,812 mps_preprocess.py:193] Visiting: aten_convolution_default, aten.convolution.default 2025-06-05T19:07:38.8575680Z [DEBUG 2025-06-05 19:07:38,812 node_visitor.py:97] Serializing: p_conv1_weight, data type: torch.float32, dims: [64, 3, 7, 7] 2025-06-05T19:07:38.8575950Z [DEBUG 2025-06-05 19:07:38,812 node_visitor.py:97] Serializing: aten_convolution_default, data type: torch.float32, dims: [1, 64, 112, 112] 2025-06-05T19:07:38.8576170Z [INFO 2025-06-05 19:07:38,812 mps_preprocess.py:193] Visiting: aten_permute_copy_default, aten.permute_copy.default 2025-06-05T19:07:38.8576410Z [DEBUG 2025-06-05 19:07:38,813 node_visitor.py:97] Serializing: p_fc_weight, data type: torch.float32, dims: [1000, 2048] 2025-06-05T19:07:38.8576710Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:97] Serializing: aten_permute_copy_default, data type: torch.float32, dims: [2048, 1000] 2025-06-05T19:07:38.8577050Z [INFO 2025-06-05 19:07:38,814 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8577260Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:97] Serializing: p_bn1_weight, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8577460Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:97] Serializing: p_bn1_bias, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8577670Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:97] Serializing: b_bn1_running_mean, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8577890Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:97] Serializing: b_bn1_running_var, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8578210Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [1, 64, 112, 112] 2025-06-05T19:07:38.8578730Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 112, 112], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8579030Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8579500Z [DEBUG 2025-06-05 19:07:38,814 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8579800Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8580270Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8580410Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: getitem, getitem 2025-06-05T19:07:38.8580590Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: aten_relu_default, aten.relu.default 2025-06-05T19:07:38.8580900Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: aten_relu_default, data type: torch.float32, dims: [1, 64, 112, 112] 2025-06-05T19:07:38.8581170Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: aten_max_pool2d_with_indices_default, aten.max_pool2d_with_indices.default 2025-06-05T19:07:38.8581460Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:132] Serializing: [0]: aten_max_pool2d_with_indices_default, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8581940Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8582270Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:132] Serializing: [1]: aten_max_pool2d_with_indices_default, data type: torch.int64, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8582740Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8582880Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: getitem_1, getitem 2025-06-05T19:07:38.8583120Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: aten_convolution_default_1, aten.convolution.default 2025-06-05T19:07:38.8583400Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: p_layer1_0_conv1_weight, data type: torch.float32, dims: [64, 64, 1, 1] 2025-06-05T19:07:38.8583670Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: aten_convolution_default_1, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8583900Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: aten_convolution_default_2, aten.convolution.default 2025-06-05T19:07:38.8584170Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: p_layer1_0_downsample_0_weight, data type: torch.float32, dims: [256, 64, 1, 1] 2025-06-05T19:07:38.8584440Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: aten_convolution_default_2, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8584770Z [INFO 2025-06-05 19:07:38,815 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_1, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8584990Z [DEBUG 2025-06-05 19:07:38,815 node_visitor.py:97] Serializing: p_layer1_0_bn1_weight, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8585220Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:97] Serializing: p_layer1_0_bn1_bias, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8585460Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:97] Serializing: b_layer1_0_bn1_running_mean, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8585710Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:97] Serializing: b_layer1_0_bn1_running_var, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8586030Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8586500Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8586790Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8587260Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8587630Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_1, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8588100Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8588430Z [INFO 2025-06-05 19:07:38,816 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_2, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8588680Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:97] Serializing: p_layer1_0_downsample_1_weight, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8588970Z [DEBUG 2025-06-05 19:07:38,816 node_visitor.py:97] Serializing: p_layer1_0_downsample_1_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8589230Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: b_layer1_0_downsample_1_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8589480Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: b_layer1_0_downsample_1_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8589800Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_2, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8590350Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8590650Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_2, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8591110Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8591420Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_2, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8591870Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8592010Z [INFO 2025-06-05 19:07:38,817 mps_preprocess.py:193] Visiting: getitem_2, getitem 2025-06-05T19:07:38.8592140Z [INFO 2025-06-05 19:07:38,817 mps_preprocess.py:193] Visiting: getitem_3, getitem 2025-06-05T19:07:38.8592320Z [INFO 2025-06-05 19:07:38,817 mps_preprocess.py:193] Visiting: aten_relu_default_1, aten.relu.default 2025-06-05T19:07:38.8592570Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: aten_relu_default_1, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8592790Z [INFO 2025-06-05 19:07:38,817 mps_preprocess.py:193] Visiting: aten_convolution_default_3, aten.convolution.default 2025-06-05T19:07:38.8593040Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: p_layer1_0_conv2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:07:38.8593300Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: aten_convolution_default_3, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8593630Z [INFO 2025-06-05 19:07:38,817 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_3, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8593860Z [DEBUG 2025-06-05 19:07:38,817 node_visitor.py:97] Serializing: p_layer1_0_bn2_weight, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8594070Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:97] Serializing: p_layer1_0_bn2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8594390Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:97] Serializing: b_layer1_0_bn2_running_mean, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8594620Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:97] Serializing: b_layer1_0_bn2_running_var, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8594950Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_3, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8595440Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8595780Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_3, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8596250Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8596560Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_3, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8597070Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8597210Z [INFO 2025-06-05 19:07:38,818 mps_preprocess.py:193] Visiting: getitem_4, getitem 2025-06-05T19:07:38.8597400Z [INFO 2025-06-05 19:07:38,818 mps_preprocess.py:193] Visiting: aten_relu_default_2, aten.relu.default 2025-06-05T19:07:38.8597660Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:97] Serializing: aten_relu_default_2, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8597870Z [INFO 2025-06-05 19:07:38,818 mps_preprocess.py:193] Visiting: aten_convolution_default_4, aten.convolution.default 2025-06-05T19:07:38.8598120Z [DEBUG 2025-06-05 19:07:38,818 node_visitor.py:97] Serializing: p_layer1_0_conv3_weight, data type: torch.float32, dims: [256, 64, 1, 1] 2025-06-05T19:07:38.8598380Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: aten_convolution_default_4, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8598710Z [INFO 2025-06-05 19:07:38,819 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_4, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8598940Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: p_layer1_0_bn3_weight, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8599160Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: p_layer1_0_bn3_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8599400Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: b_layer1_0_bn3_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8599630Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: b_layer1_0_bn3_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8599960Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_4, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8600440Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8600740Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_4, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8601270Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8601580Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_4, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8602050Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8602230Z [INFO 2025-06-05 19:07:38,819 mps_preprocess.py:193] Visiting: getitem_5, getitem 2025-06-05T19:07:38.8602410Z [INFO 2025-06-05 19:07:38,819 mps_preprocess.py:193] Visiting: aten_add_tensor, aten.add.Tensor 2025-06-05T19:07:38.8602640Z [DEBUG 2025-06-05 19:07:38,819 node_visitor.py:97] Serializing: aten_add_tensor, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8602830Z [INFO 2025-06-05 19:07:38,819 mps_preprocess.py:193] Visiting: aten_relu_default_3, aten.relu.default 2025-06-05T19:07:38.8603080Z [DEBUG 2025-06-05 19:07:38,820 node_visitor.py:97] Serializing: aten_relu_default_3, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8603350Z [INFO 2025-06-05 19:07:38,820 mps_preprocess.py:193] Visiting: aten_convolution_default_5, aten.convolution.default 2025-06-05T19:07:38.8603610Z [DEBUG 2025-06-05 19:07:38,820 node_visitor.py:97] Serializing: 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2025-06-05T19:07:38.8620360Z [DEBUG 2025-06-05 19:07:38,824 node_visitor.py:97] Serializing: b_layer1_2_bn1_running_mean, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8620630Z [DEBUG 2025-06-05 19:07:38,824 node_visitor.py:97] Serializing: b_layer1_2_bn1_running_var, data type: torch.float32, dims: [64] 2025-06-05T19:07:38.8621080Z [DEBUG 2025-06-05 19:07:38,824 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_8, data type: torch.float32, dims: [1, 64, 56, 56] 2025-06-05T19:07:38.8621570Z [DEBUG 2025-06-05 19:07:38,824 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8621890Z [DEBUG 2025-06-05 19:07:38,824 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_8, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8622380Z [DEBUG 2025-06-05 19:07:38,824 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2025-06-05T19:07:38.8635130Z [INFO 2025-06-05 19:07:38,826 mps_preprocess.py:193] Visiting: aten_convolution_default_10, aten.convolution.default 2025-06-05T19:07:38.8635420Z [DEBUG 2025-06-05 19:07:38,826 node_visitor.py:97] Serializing: p_layer1_2_conv3_weight, data type: torch.float32, dims: [256, 64, 1, 1] 2025-06-05T19:07:38.8635680Z [DEBUG 2025-06-05 19:07:38,826 node_visitor.py:97] Serializing: aten_convolution_default_10, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8636000Z [INFO 2025-06-05 19:07:38,826 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_10, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8636250Z [DEBUG 2025-06-05 19:07:38,826 node_visitor.py:97] Serializing: p_layer1_2_bn3_weight, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8636500Z [DEBUG 2025-06-05 19:07:38,826 node_visitor.py:97] Serializing: p_layer1_2_bn3_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8636740Z [DEBUG 2025-06-05 19:07:38,826 node_visitor.py:97] Serializing: b_layer1_2_bn3_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8636970Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: b_layer1_2_bn3_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8637300Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_10, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8637780Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8638080Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_10, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8638540Z [DEBUG 2025-06-05 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2025-06-05T19:07:38.8640030Z [INFO 2025-06-05 19:07:38,827 mps_preprocess.py:193] Visiting: aten_relu_default_9, aten.relu.default 2025-06-05T19:07:38.8640280Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: aten_relu_default_9, data type: torch.float32, dims: [1, 256, 56, 56] 2025-06-05T19:07:38.8640550Z [INFO 2025-06-05 19:07:38,827 mps_preprocess.py:193] Visiting: aten_convolution_default_11, aten.convolution.default 2025-06-05T19:07:38.8640810Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: p_layer2_0_conv1_weight, data type: torch.float32, dims: [128, 256, 1, 1] 2025-06-05T19:07:38.8641080Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: aten_convolution_default_11, data type: torch.float32, dims: [1, 128, 56, 56] 2025-06-05T19:07:38.8641300Z [INFO 2025-06-05 19:07:38,827 mps_preprocess.py:193] Visiting: aten_convolution_default_12, aten.convolution.default 2025-06-05T19:07:38.8641560Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: p_layer2_0_downsample_0_weight, data type: torch.float32, dims: [512, 256, 1, 1] 2025-06-05T19:07:38.8641860Z [DEBUG 2025-06-05 19:07:38,827 node_visitor.py:97] Serializing: aten_convolution_default_12, data type: torch.float32, dims: [1, 512, 28, 28] 2025-06-05T19:07:38.8642180Z [INFO 2025-06-05 19:07:38,828 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_11, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8642400Z [DEBUG 2025-06-05 19:07:38,828 node_visitor.py:97] Serializing: p_layer2_0_bn1_weight, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8642610Z [DEBUG 2025-06-05 19:07:38,828 node_visitor.py:97] Serializing: p_layer2_0_bn1_bias, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8642900Z [DEBUG 2025-06-05 19:07:38,828 node_visitor.py:97] Serializing: b_layer2_0_bn1_running_mean, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8643130Z [DEBUG 2025-06-05 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[DEBUG 2025-06-05 19:07:38,830 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8654010Z [DEBUG 2025-06-05 19:07:38,830 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_13, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8654480Z [DEBUG 2025-06-05 19:07:38,830 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8654620Z [INFO 2025-06-05 19:07:38,830 mps_preprocess.py:193] Visiting: getitem_14, getitem 2025-06-05T19:07:38.8654800Z [INFO 2025-06-05 19:07:38,831 mps_preprocess.py:193] Visiting: aten_relu_default_11, aten.relu.default 2025-06-05T19:07:38.8655050Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: aten_relu_default_11, data type: torch.float32, dims: [1, 128, 28, 28] 2025-06-05T19:07:38.8655300Z [INFO 2025-06-05 19:07:38,831 mps_preprocess.py:193] Visiting: aten_convolution_default_14, aten.convolution.default 2025-06-05T19:07:38.8655560Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: p_layer2_0_conv3_weight, data type: torch.float32, dims: [512, 128, 1, 1] 2025-06-05T19:07:38.8655820Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: aten_convolution_default_14, data type: torch.float32, dims: [1, 512, 28, 28] 2025-06-05T19:07:38.8656140Z [INFO 2025-06-05 19:07:38,831 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_14, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8656410Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: p_layer2_0_bn3_weight, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8656630Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: p_layer2_0_bn3_bias, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8656870Z [DEBUG 2025-06-05 19:07:38,831 node_visitor.py:97] Serializing: b_layer2_0_bn3_running_mean, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8657090Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:97] Serializing: b_layer2_0_bn3_running_var, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8657430Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_14, data type: torch.float32, dims: [1, 512, 28, 28] 2025-06-05T19:07:38.8657910Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8658210Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_14, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8658680Z [DEBUG 2025-06-05 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2025-06-05T19:07:38.8661850Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:97] Serializing: p_layer2_1_bn1_weight, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8662080Z [DEBUG 2025-06-05 19:07:38,832 node_visitor.py:97] Serializing: p_layer2_1_bn1_bias, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8662310Z [DEBUG 2025-06-05 19:07:38,833 node_visitor.py:97] Serializing: b_layer2_1_bn1_running_mean, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8662550Z [DEBUG 2025-06-05 19:07:38,833 node_visitor.py:97] Serializing: b_layer2_1_bn1_running_var, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8662910Z [DEBUG 2025-06-05 19:07:38,833 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_15, data type: torch.float32, dims: [1, 128, 28, 28] 2025-06-05T19:07:38.8663430Z [DEBUG 2025-06-05 19:07:38,833 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 128, 28, 28], 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2025-06-05T19:07:38.8666840Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:97] Serializing: p_layer2_1_bn2_weight, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8667050Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:97] Serializing: p_layer2_1_bn2_bias, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8667340Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:97] Serializing: b_layer2_1_bn2_running_mean, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8667580Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:97] Serializing: b_layer2_1_bn2_running_var, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8667910Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_16, data type: torch.float32, dims: [1, 128, 28, 28] 2025-06-05T19:07:38.8668390Z [DEBUG 2025-06-05 19:07:38,834 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 128, 28, 28], 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2025-06-05T19:07:38.8671880Z [DEBUG 2025-06-05 19:07:38,835 node_visitor.py:97] Serializing: p_layer2_1_bn3_weight, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8672090Z [DEBUG 2025-06-05 19:07:38,835 node_visitor.py:97] Serializing: p_layer2_1_bn3_bias, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8672320Z [DEBUG 2025-06-05 19:07:38,836 node_visitor.py:97] Serializing: b_layer2_1_bn3_running_mean, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8672550Z [DEBUG 2025-06-05 19:07:38,836 node_visitor.py:97] Serializing: b_layer2_1_bn3_running_var, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8672870Z [DEBUG 2025-06-05 19:07:38,836 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_17, data type: torch.float32, dims: [1, 512, 28, 28] 2025-06-05T19:07:38.8673360Z [DEBUG 2025-06-05 19:07:38,836 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 512, 28, 28], 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Serializing: aten_convolution_default_18, data type: torch.float32, dims: [1, 128, 28, 28] 2025-06-05T19:07:38.8677140Z [INFO 2025-06-05 19:07:38,837 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_18, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8677370Z [DEBUG 2025-06-05 19:07:38,837 node_visitor.py:97] Serializing: p_layer2_2_bn1_weight, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8677580Z [DEBUG 2025-06-05 19:07:38,837 node_visitor.py:97] Serializing: p_layer2_2_bn1_bias, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8677820Z [DEBUG 2025-06-05 19:07:38,837 node_visitor.py:97] Serializing: b_layer2_2_bn1_running_mean, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8678050Z [DEBUG 2025-06-05 19:07:38,837 node_visitor.py:97] Serializing: b_layer2_2_bn1_running_var, data type: torch.float32, dims: [128] 2025-06-05T19:07:38.8678370Z [DEBUG 2025-06-05 19:07:38,837 node_visitor.py:132] 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[DEBUG 2025-06-05 19:07:38,845 node_visitor.py:97] Serializing: aten_convolution_default_25, data type: torch.float32, dims: [1, 1024, 14, 14] 2025-06-05T19:07:38.8708710Z [INFO 2025-06-05 19:07:38,845 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_24, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8708930Z [DEBUG 2025-06-05 19:07:38,846 node_visitor.py:97] Serializing: p_layer3_0_bn1_weight, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8709190Z [DEBUG 2025-06-05 19:07:38,846 node_visitor.py:97] Serializing: p_layer3_0_bn1_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8709420Z [DEBUG 2025-06-05 19:07:38,846 node_visitor.py:97] Serializing: b_layer3_0_bn1_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8709650Z [DEBUG 2025-06-05 19:07:38,847 node_visitor.py:97] Serializing: b_layer3_0_bn1_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8709970Z [DEBUG 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2025-06-05T19:07:38.8728650Z [DEBUG 2025-06-05 19:07:38,851 node_visitor.py:97] Serializing: p_layer3_1_bn1_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8728880Z [DEBUG 2025-06-05 19:07:38,851 node_visitor.py:97] Serializing: b_layer3_1_bn1_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8729150Z [DEBUG 2025-06-05 19:07:38,852 node_visitor.py:97] Serializing: b_layer3_1_bn1_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8729510Z [DEBUG 2025-06-05 19:07:38,852 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_28, data type: torch.float32, dims: [1, 256, 14, 14] 2025-06-05T19:07:38.8730000Z [DEBUG 2025-06-05 19:07:38,852 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8730300Z [DEBUG 2025-06-05 19:07:38,852 node_visitor.py:132] 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2025-06-05T19:07:38.8733720Z [DEBUG 2025-06-05 19:07:38,852 node_visitor.py:97] Serializing: p_layer3_1_bn2_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8733960Z [DEBUG 2025-06-05 19:07:38,853 node_visitor.py:97] Serializing: b_layer3_1_bn2_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8734190Z [DEBUG 2025-06-05 19:07:38,853 node_visitor.py:97] Serializing: b_layer3_1_bn2_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8734510Z [DEBUG 2025-06-05 19:07:38,853 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_29, data type: torch.float32, dims: [1, 256, 14, 14] 2025-06-05T19:07:38.8735040Z [DEBUG 2025-06-05 19:07:38,853 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8735350Z [DEBUG 2025-06-05 19:07:38,853 node_visitor.py:132] 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2025-06-05T19:07:38.8738820Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:97] Serializing: p_layer3_1_bn3_bias, data type: torch.float32, dims: [1024] 2025-06-05T19:07:38.8739060Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:97] Serializing: b_layer3_1_bn3_running_mean, data type: torch.float32, dims: [1024] 2025-06-05T19:07:38.8739300Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:97] Serializing: b_layer3_1_bn3_running_var, data type: torch.float32, dims: [1024] 2025-06-05T19:07:38.8739640Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_30, data type: torch.float32, dims: [1, 1024, 14, 14] 2025-06-05T19:07:38.8740130Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8740490Z [DEBUG 2025-06-05 19:07:38,854 node_visitor.py:132] 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[INFO 2025-06-05 19:07:38,856 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_32, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8749210Z [DEBUG 2025-06-05 19:07:38,856 node_visitor.py:97] Serializing: p_layer3_2_bn2_weight, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8749480Z [DEBUG 2025-06-05 19:07:38,857 node_visitor.py:97] Serializing: p_layer3_2_bn2_bias, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8749730Z [DEBUG 2025-06-05 19:07:38,857 node_visitor.py:97] Serializing: b_layer3_2_bn2_running_mean, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8749960Z [DEBUG 2025-06-05 19:07:38,857 node_visitor.py:97] Serializing: b_layer3_2_bn2_running_var, data type: torch.float32, dims: [256] 2025-06-05T19:07:38.8750290Z [DEBUG 2025-06-05 19:07:38,857 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_32, data type: torch.float32, dims: [1, 256, 14, 14] 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mps_preprocess.py:193] Visiting: getitem_42, getitem 2025-06-05T19:07:38.8827150Z [INFO 2025-06-05 19:07:38,869 mps_preprocess.py:193] Visiting: aten_relu_default_38, aten.relu.default 2025-06-05T19:07:38.8827430Z [DEBUG 2025-06-05 19:07:38,870 node_visitor.py:97] Serializing: aten_relu_default_38, data type: torch.float32, dims: [1, 256, 14, 14] 2025-06-05T19:07:38.8827650Z [INFO 2025-06-05 19:07:38,870 mps_preprocess.py:193] Visiting: aten_convolution_default_42, aten.convolution.default 2025-06-05T19:07:38.8827910Z [DEBUG 2025-06-05 19:07:38,870 node_visitor.py:97] Serializing: p_layer3_5_conv3_weight, data type: torch.float32, dims: [1024, 256, 1, 1] 2025-06-05T19:07:38.8828280Z [DEBUG 2025-06-05 19:07:38,870 node_visitor.py:97] Serializing: aten_convolution_default_42, data type: torch.float32, dims: [1, 1024, 14, 14] 2025-06-05T19:07:38.8828610Z [INFO 2025-06-05 19:07:38,870 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_42, 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2025-06-05T19:07:38.8840220Z [DEBUG 2025-06-05 19:07:38,871 node_visitor.py:97] Serializing: aten_convolution_default_43, data type: torch.float32, dims: [1, 512, 14, 14] 2025-06-05T19:07:38.8840450Z [INFO 2025-06-05 19:07:38,871 mps_preprocess.py:193] Visiting: aten_convolution_default_44, aten.convolution.default 2025-06-05T19:07:38.8840740Z [DEBUG 2025-06-05 19:07:38,872 node_visitor.py:97] Serializing: p_layer4_0_downsample_0_weight, data type: torch.float32, dims: [2048, 1024, 1, 1] 2025-06-05T19:07:38.8841030Z [DEBUG 2025-06-05 19:07:38,873 node_visitor.py:97] Serializing: aten_convolution_default_44, data type: torch.float32, dims: [1, 2048, 7, 7] 2025-06-05T19:07:38.8841600Z [INFO 2025-06-05 19:07:38,873 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_43, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8841840Z [DEBUG 2025-06-05 19:07:38,873 node_visitor.py:97] Serializing: p_layer4_0_bn1_weight, data type: torch.float32, 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2025-06-05T19:07:38.8935160Z [DEBUG 2025-06-05 19:07:38,887 node_visitor.py:97] Serializing: b_layer4_2_bn1_running_mean, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8935400Z [DEBUG 2025-06-05 19:07:38,887 node_visitor.py:97] Serializing: b_layer4_2_bn1_running_var, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8935730Z [DEBUG 2025-06-05 19:07:38,887 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_50, data type: torch.float32, dims: [1, 512, 7, 7] 2025-06-05T19:07:38.8936210Z [DEBUG 2025-06-05 19:07:38,887 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8936510Z [DEBUG 2025-06-05 19:07:38,887 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_50, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8936970Z [DEBUG 2025-06-05 19:07:38,887 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2025-06-05T19:07:38.8940150Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:97] Serializing: b_layer4_2_bn2_running_mean, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8940380Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:97] Serializing: b_layer4_2_bn2_running_var, data type: torch.float32, dims: [512] 2025-06-05T19:07:38.8940740Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_51, data type: torch.float32, dims: [1, 512, 7, 7] 2025-06-05T19:07:38.8941200Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8941510Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_51, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8941990Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8942330Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_51, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8942780Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8942930Z [INFO 2025-06-05 19:07:38,889 mps_preprocess.py:193] Visiting: getitem_52, getitem 2025-06-05T19:07:38.8943110Z [INFO 2025-06-05 19:07:38,889 mps_preprocess.py:193] Visiting: aten_relu_default_47, aten.relu.default 2025-06-05T19:07:38.8943350Z [DEBUG 2025-06-05 19:07:38,889 node_visitor.py:97] Serializing: aten_relu_default_47, data type: torch.float32, dims: [1, 512, 7, 7] 2025-06-05T19:07:38.8943570Z [INFO 2025-06-05 19:07:38,889 mps_preprocess.py:193] Visiting: aten_convolution_default_52, aten.convolution.default 2025-06-05T19:07:38.8943820Z [DEBUG 2025-06-05 19:07:38,890 node_visitor.py:97] Serializing: p_layer4_2_conv3_weight, data type: torch.float32, dims: [2048, 512, 1, 1] 2025-06-05T19:07:38.8944070Z [DEBUG 2025-06-05 19:07:38,890 node_visitor.py:97] Serializing: aten_convolution_default_52, data type: torch.float32, dims: [1, 2048, 7, 7] 2025-06-05T19:07:38.8944400Z [INFO 2025-06-05 19:07:38,890 mps_preprocess.py:193] Visiting: aten__native_batch_norm_legit_no_training_default_52, aten._native_batch_norm_legit_no_training.default 2025-06-05T19:07:38.8944620Z [DEBUG 2025-06-05 19:07:38,890 node_visitor.py:97] Serializing: p_layer4_2_bn3_weight, data type: torch.float32, dims: [2048] 2025-06-05T19:07:38.8944840Z [DEBUG 2025-06-05 19:07:38,890 node_visitor.py:97] Serializing: p_layer4_2_bn3_bias, data type: torch.float32, dims: [2048] 2025-06-05T19:07:38.8945090Z [DEBUG 2025-06-05 19:07:38,890 node_visitor.py:97] Serializing: b_layer4_2_bn3_running_mean, data type: torch.float32, dims: [2048] 2025-06-05T19:07:38.8945320Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: b_layer4_2_bn3_running_var, data type: torch.float32, dims: [2048] 2025-06-05T19:07:38.8945650Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:132] Serializing: [0]: aten__native_batch_norm_legit_no_training_default_52, data type: torch.float32, dims: [1, 2048, 7, 7] 2025-06-05T19:07:38.8946190Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8946490Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:132] Serializing: [1]: aten__native_batch_norm_legit_no_training_default_52, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8946960Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8947260Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:132] Serializing: [2]: aten__native_batch_norm_legit_no_training_default_52, data type: torch.float32, dims: [0] 2025-06-05T19:07:38.8947770Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:143] Serialized tensor: MPSTensor(datatype=, num_dims=1, dims=[0], constant_buffer_size=0, constant_buffer=Buffer(storage=b''), segment_offset=0) 2025-06-05T19:07:38.8947920Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: getitem_53, getitem 2025-06-05T19:07:38.8948090Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: aten_add_tensor_15, aten.add.Tensor 2025-06-05T19:07:38.8948360Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: aten_add_tensor_15, data type: torch.float32, dims: [1, 2048, 7, 7] 2025-06-05T19:07:38.8948570Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: aten_relu_default_48, aten.relu.default 2025-06-05T19:07:38.8948830Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: aten_relu_default_48, data type: torch.float32, dims: [1, 2048, 7, 7] 2025-06-05T19:07:38.8948990Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: aten_mean_dim, aten.mean.dim 2025-06-05T19:07:38.8949230Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: aten_mean_dim, data type: torch.float32, dims: [1, 2048, 1, 1] 2025-06-05T19:07:38.8949440Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: aten_view_copy_default, aten.view_copy.default 2025-06-05T19:07:38.8949680Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: aten_view_copy_default, data type: torch.float32, dims: [1, 2048] 2025-06-05T19:07:38.8949870Z [INFO 2025-06-05 19:07:38,891 mps_preprocess.py:193] Visiting: aten_addmm_default, aten.addmm.default 2025-06-05T19:07:38.8950090Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: p_fc_bias, data type: torch.float32, dims: [1000] 2025-06-05T19:07:38.8950330Z [DEBUG 2025-06-05 19:07:38,891 node_visitor.py:97] Serializing: aten_addmm_default, data type: torch.float32, dims: [1, 1000] 2025-06-05T19:07:38.8950460Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:07:38.8950570Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:285] Version: 0 2025-06-05T19:07:38.8950680Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:07:38.8951030Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSCast(input1_id=0, output_id=0, dtype=), min_max=None) 2025-06-05T19:07:38.8951600Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSConv2D(input1_id=0, input2_id=1, input3_id=-1, output_id=2, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=3, padding_bottom=3), min_max=None) 2025-06-05T19:07:38.8951900Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSPermute(input1_id=3, output_id=4, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:07:38.8952340Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=2, mean_id=7, var_id=8, weight_id=5, bias_id=6, momentum=0.1, epsilon=1e-05, output1_id=9, output2_id=10, output3_id=11), min_max=None) 2025-06-05T19:07:38.8952650Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSReLU(input1_id=9, output_id=12), min_max=None) 2025-06-05T19:07:38.8953470Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSMaxPool2DWithIndices(input1_id=12, kernel_height=3, kernel_width=3, stride_height=2, stride_width=2, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1, dilation_height=1, dilation_width=1, ceil_mode=False, output1_id=13, output2_id=14, count_include_pad=True, divisor_override=0), min_max=None) 2025-06-05T19:07:38.8954030Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSConv2D(input1_id=13, input2_id=15, input3_id=-1, output_id=16, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8954650Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSConv2D(input1_id=13, input2_id=17, input3_id=-1, output_id=18, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8955120Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=16, mean_id=21, var_id=22, weight_id=19, bias_id=20, momentum=0.1, epsilon=1e-05, output1_id=23, output2_id=24, output3_id=25), min_max=None) 2025-06-05T19:07:38.8955590Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=18, mean_id=28, var_id=29, weight_id=26, bias_id=27, momentum=0.1, epsilon=1e-05, output1_id=30, output2_id=31, output3_id=32), min_max=None) 2025-06-05T19:07:38.8955830Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSReLU(input1_id=23, output_id=33), min_max=None) 2025-06-05T19:07:38.8956390Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSConv2D(input1_id=33, input2_id=34, input3_id=-1, output_id=35, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8956840Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=35, mean_id=38, var_id=39, weight_id=36, bias_id=37, momentum=0.1, epsilon=1e-05, output1_id=40, output2_id=41, output3_id=42), min_max=None) 2025-06-05T19:07:38.8957080Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSReLU(input1_id=40, output_id=43), min_max=None) 2025-06-05T19:07:38.8957630Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSConv2D(input1_id=43, input2_id=44, input3_id=-1, output_id=45, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8958080Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=45, mean_id=48, var_id=49, weight_id=46, bias_id=47, momentum=0.1, epsilon=1e-05, output1_id=50, output2_id=51, output3_id=52), min_max=None) 2025-06-05T19:07:38.8958370Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSAdd(input1_id=50, input2_id=30, output_id=53, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8958610Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSReLU(input1_id=53, output_id=54), min_max=None) 2025-06-05T19:07:38.8959170Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSConv2D(input1_id=54, input2_id=55, input3_id=-1, output_id=56, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8959670Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=56, mean_id=59, var_id=60, weight_id=57, bias_id=58, momentum=0.1, epsilon=1e-05, output1_id=61, output2_id=62, output3_id=63), min_max=None) 2025-06-05T19:07:38.8959910Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSReLU(input1_id=61, output_id=64), min_max=None) 2025-06-05T19:07:38.8960460Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSConv2D(input1_id=64, input2_id=65, input3_id=-1, output_id=66, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8960910Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=66, mean_id=69, var_id=70, weight_id=67, bias_id=68, momentum=0.1, epsilon=1e-05, output1_id=71, output2_id=72, output3_id=73), min_max=None) 2025-06-05T19:07:38.8961180Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSReLU(input1_id=71, output_id=74), min_max=None) 2025-06-05T19:07:38.8961740Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSConv2D(input1_id=74, input2_id=75, input3_id=-1, output_id=76, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8962210Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=76, mean_id=79, var_id=80, weight_id=77, bias_id=78, momentum=0.1, epsilon=1e-05, output1_id=81, output2_id=82, output3_id=83), min_max=None) 2025-06-05T19:07:38.8962510Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSAdd(input1_id=81, input2_id=54, output_id=84, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8962760Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [27]: MPSNode(mpsnode_union=MPSReLU(input1_id=84, output_id=85), min_max=None) 2025-06-05T19:07:38.8963320Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [28]: MPSNode(mpsnode_union=MPSConv2D(input1_id=85, input2_id=86, input3_id=-1, output_id=87, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8963770Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [29]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=87, mean_id=90, var_id=91, weight_id=88, bias_id=89, momentum=0.1, epsilon=1e-05, output1_id=92, output2_id=93, output3_id=94), min_max=None) 2025-06-05T19:07:38.8964010Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [30]: MPSNode(mpsnode_union=MPSReLU(input1_id=92, output_id=95), min_max=None) 2025-06-05T19:07:38.8964560Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [31]: MPSNode(mpsnode_union=MPSConv2D(input1_id=95, input2_id=96, input3_id=-1, output_id=97, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8965040Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [32]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=97, mean_id=100, var_id=101, weight_id=98, bias_id=99, momentum=0.1, epsilon=1e-05, output1_id=102, output2_id=103, output3_id=104), min_max=None) 2025-06-05T19:07:38.8965290Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [33]: MPSNode(mpsnode_union=MPSReLU(input1_id=102, output_id=105), min_max=None) 2025-06-05T19:07:38.8965850Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [34]: MPSNode(mpsnode_union=MPSConv2D(input1_id=105, input2_id=106, input3_id=-1, output_id=107, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8966420Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [35]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=107, mean_id=110, var_id=111, weight_id=108, bias_id=109, momentum=0.1, epsilon=1e-05, output1_id=112, output2_id=113, output3_id=114), min_max=None) 2025-06-05T19:07:38.8966720Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [36]: MPSNode(mpsnode_union=MPSAdd(input1_id=112, input2_id=85, output_id=115, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8966960Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [37]: MPSNode(mpsnode_union=MPSReLU(input1_id=115, output_id=116), min_max=None) 2025-06-05T19:07:38.8967530Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [38]: MPSNode(mpsnode_union=MPSConv2D(input1_id=116, input2_id=117, input3_id=-1, output_id=118, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8968130Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [39]: MPSNode(mpsnode_union=MPSConv2D(input1_id=116, input2_id=119, input3_id=-1, output_id=120, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8968610Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [40]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=118, mean_id=123, var_id=124, weight_id=121, bias_id=122, momentum=0.1, epsilon=1e-05, output1_id=125, output2_id=126, output3_id=127), min_max=None) 2025-06-05T19:07:38.8969100Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [41]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=120, mean_id=130, var_id=131, weight_id=128, bias_id=129, momentum=0.1, epsilon=1e-05, output1_id=132, output2_id=133, output3_id=134), min_max=None) 2025-06-05T19:07:38.8969380Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [42]: MPSNode(mpsnode_union=MPSReLU(input1_id=125, output_id=135), min_max=None) 2025-06-05T19:07:38.8969950Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [43]: MPSNode(mpsnode_union=MPSConv2D(input1_id=135, input2_id=136, input3_id=-1, output_id=137, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8970410Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [44]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=137, mean_id=140, var_id=141, weight_id=138, bias_id=139, momentum=0.1, epsilon=1e-05, output1_id=142, output2_id=143, output3_id=144), min_max=None) 2025-06-05T19:07:38.8970650Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [45]: MPSNode(mpsnode_union=MPSReLU(input1_id=142, output_id=145), min_max=None) 2025-06-05T19:07:38.8971200Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [46]: MPSNode(mpsnode_union=MPSConv2D(input1_id=145, input2_id=146, input3_id=-1, output_id=147, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8971660Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [47]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=147, mean_id=150, var_id=151, weight_id=148, bias_id=149, momentum=0.1, epsilon=1e-05, output1_id=152, output2_id=153, output3_id=154), min_max=None) 2025-06-05T19:07:38.8971960Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [48]: MPSNode(mpsnode_union=MPSAdd(input1_id=152, input2_id=132, output_id=155, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8972200Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [49]: MPSNode(mpsnode_union=MPSReLU(input1_id=155, output_id=156), min_max=None) 2025-06-05T19:07:38.8972760Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [50]: MPSNode(mpsnode_union=MPSConv2D(input1_id=156, input2_id=157, input3_id=-1, output_id=158, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8973270Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [51]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=158, mean_id=161, var_id=162, weight_id=159, bias_id=160, momentum=0.1, epsilon=1e-05, output1_id=163, output2_id=164, output3_id=165), min_max=None) 2025-06-05T19:07:38.8973520Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [52]: MPSNode(mpsnode_union=MPSReLU(input1_id=163, output_id=166), min_max=None) 2025-06-05T19:07:38.8974080Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [53]: MPSNode(mpsnode_union=MPSConv2D(input1_id=166, input2_id=167, input3_id=-1, output_id=168, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8974550Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [54]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=168, mean_id=171, var_id=172, weight_id=169, bias_id=170, momentum=0.1, epsilon=1e-05, output1_id=173, output2_id=174, output3_id=175), min_max=None) 2025-06-05T19:07:38.8974820Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [55]: MPSNode(mpsnode_union=MPSReLU(input1_id=173, output_id=176), min_max=None) 2025-06-05T19:07:38.8975390Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [56]: MPSNode(mpsnode_union=MPSConv2D(input1_id=176, input2_id=177, input3_id=-1, output_id=178, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8975870Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [57]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=178, mean_id=181, var_id=182, weight_id=179, bias_id=180, momentum=0.1, epsilon=1e-05, output1_id=183, output2_id=184, output3_id=185), min_max=None) 2025-06-05T19:07:38.8976180Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [58]: MPSNode(mpsnode_union=MPSAdd(input1_id=183, input2_id=156, output_id=186, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8976420Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [59]: MPSNode(mpsnode_union=MPSReLU(input1_id=186, output_id=187), min_max=None) 2025-06-05T19:07:38.8976980Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [60]: MPSNode(mpsnode_union=MPSConv2D(input1_id=187, input2_id=188, input3_id=-1, output_id=189, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8977460Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [61]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=189, mean_id=192, var_id=193, weight_id=190, bias_id=191, momentum=0.1, epsilon=1e-05, output1_id=194, output2_id=195, output3_id=196), min_max=None) 2025-06-05T19:07:38.8977700Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [62]: MPSNode(mpsnode_union=MPSReLU(input1_id=194, output_id=197), min_max=None) 2025-06-05T19:07:38.8978260Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [63]: MPSNode(mpsnode_union=MPSConv2D(input1_id=197, input2_id=198, input3_id=-1, output_id=199, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8978730Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [64]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=199, mean_id=202, var_id=203, weight_id=200, bias_id=201, momentum=0.1, epsilon=1e-05, output1_id=204, output2_id=205, output3_id=206), min_max=None) 2025-06-05T19:07:38.8978960Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [65]: MPSNode(mpsnode_union=MPSReLU(input1_id=204, output_id=207), min_max=None) 2025-06-05T19:07:38.8979520Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [66]: MPSNode(mpsnode_union=MPSConv2D(input1_id=207, input2_id=208, input3_id=-1, output_id=209, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8979990Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [67]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=209, mean_id=212, var_id=213, weight_id=210, bias_id=211, momentum=0.1, epsilon=1e-05, output1_id=214, output2_id=215, output3_id=216), min_max=None) 2025-06-05T19:07:38.8980340Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [68]: MPSNode(mpsnode_union=MPSAdd(input1_id=214, input2_id=187, output_id=217, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8980580Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [69]: MPSNode(mpsnode_union=MPSReLU(input1_id=217, output_id=218), min_max=None) 2025-06-05T19:07:38.8981150Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [70]: MPSNode(mpsnode_union=MPSConv2D(input1_id=218, input2_id=219, input3_id=-1, output_id=220, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8981680Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [71]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=220, mean_id=223, var_id=224, weight_id=221, bias_id=222, momentum=0.1, epsilon=1e-05, output1_id=225, output2_id=226, output3_id=227), min_max=None) 2025-06-05T19:07:38.8981930Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [72]: MPSNode(mpsnode_union=MPSReLU(input1_id=225, output_id=228), min_max=None) 2025-06-05T19:07:38.8982530Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [73]: MPSNode(mpsnode_union=MPSConv2D(input1_id=228, input2_id=229, input3_id=-1, output_id=230, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8983030Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [74]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=230, mean_id=233, var_id=234, weight_id=231, bias_id=232, momentum=0.1, epsilon=1e-05, output1_id=235, output2_id=236, output3_id=237), min_max=None) 2025-06-05T19:07:38.8983270Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [75]: MPSNode(mpsnode_union=MPSReLU(input1_id=235, output_id=238), min_max=None) 2025-06-05T19:07:38.8983840Z [INFO 2025-06-05 19:07:38,892 mps_preprocess.py:288] [76]: MPSNode(mpsnode_union=MPSConv2D(input1_id=238, input2_id=239, input3_id=-1, output_id=240, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8984300Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [77]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=240, mean_id=243, var_id=244, weight_id=241, bias_id=242, momentum=0.1, epsilon=1e-05, output1_id=245, output2_id=246, output3_id=247), min_max=None) 2025-06-05T19:07:38.8984590Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [78]: MPSNode(mpsnode_union=MPSAdd(input1_id=245, input2_id=218, output_id=248, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8984830Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [79]: MPSNode(mpsnode_union=MPSReLU(input1_id=248, output_id=249), min_max=None) 2025-06-05T19:07:38.8985400Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [80]: MPSNode(mpsnode_union=MPSConv2D(input1_id=249, input2_id=250, input3_id=-1, output_id=251, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8985960Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [81]: MPSNode(mpsnode_union=MPSConv2D(input1_id=249, input2_id=252, input3_id=-1, output_id=253, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8986440Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [82]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=251, mean_id=256, var_id=257, weight_id=254, bias_id=255, momentum=0.1, epsilon=1e-05, output1_id=258, output2_id=259, output3_id=260), min_max=None) 2025-06-05T19:07:38.8986900Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [83]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=253, mean_id=263, var_id=264, weight_id=261, bias_id=262, momentum=0.1, epsilon=1e-05, output1_id=265, output2_id=266, output3_id=267), min_max=None) 2025-06-05T19:07:38.8987190Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [84]: MPSNode(mpsnode_union=MPSReLU(input1_id=258, output_id=268), min_max=None) 2025-06-05T19:07:38.8987750Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [85]: MPSNode(mpsnode_union=MPSConv2D(input1_id=268, input2_id=269, input3_id=-1, output_id=270, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8988220Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [86]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=270, mean_id=273, var_id=274, weight_id=271, bias_id=272, momentum=0.1, epsilon=1e-05, output1_id=275, output2_id=276, output3_id=277), min_max=None) 2025-06-05T19:07:38.8988490Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [87]: MPSNode(mpsnode_union=MPSReLU(input1_id=275, output_id=278), min_max=None) 2025-06-05T19:07:38.8989060Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [88]: MPSNode(mpsnode_union=MPSConv2D(input1_id=278, input2_id=279, input3_id=-1, output_id=280, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8989540Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [89]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=280, mean_id=283, var_id=284, weight_id=281, bias_id=282, momentum=0.1, epsilon=1e-05, output1_id=285, output2_id=286, output3_id=287), min_max=None) 2025-06-05T19:07:38.8989850Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [90]: MPSNode(mpsnode_union=MPSAdd(input1_id=285, input2_id=265, output_id=288, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8990090Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [91]: MPSNode(mpsnode_union=MPSReLU(input1_id=288, output_id=289), min_max=None) 2025-06-05T19:07:38.8990660Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [92]: MPSNode(mpsnode_union=MPSConv2D(input1_id=289, input2_id=290, input3_id=-1, output_id=291, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8991130Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [93]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=291, mean_id=294, var_id=295, weight_id=292, bias_id=293, momentum=0.1, epsilon=1e-05, output1_id=296, output2_id=297, output3_id=298), min_max=None) 2025-06-05T19:07:38.8991370Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [94]: MPSNode(mpsnode_union=MPSReLU(input1_id=296, output_id=299), min_max=None) 2025-06-05T19:07:38.8991930Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [95]: MPSNode(mpsnode_union=MPSConv2D(input1_id=299, input2_id=300, input3_id=-1, output_id=301, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8992390Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [96]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=301, mean_id=304, var_id=305, weight_id=302, bias_id=303, momentum=0.1, epsilon=1e-05, output1_id=306, output2_id=307, output3_id=308), min_max=None) 2025-06-05T19:07:38.8992630Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [97]: MPSNode(mpsnode_union=MPSReLU(input1_id=306, output_id=309), min_max=None) 2025-06-05T19:07:38.8993190Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [98]: MPSNode(mpsnode_union=MPSConv2D(input1_id=309, input2_id=310, input3_id=-1, output_id=311, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8993650Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [99]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=311, mean_id=314, var_id=315, weight_id=312, bias_id=313, momentum=0.1, epsilon=1e-05, output1_id=316, output2_id=317, output3_id=318), min_max=None) 2025-06-05T19:07:38.8994010Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [100]: MPSNode(mpsnode_union=MPSAdd(input1_id=316, input2_id=289, output_id=319, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8994250Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [101]: MPSNode(mpsnode_union=MPSReLU(input1_id=319, output_id=320), min_max=None) 2025-06-05T19:07:38.8994810Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [102]: MPSNode(mpsnode_union=MPSConv2D(input1_id=320, input2_id=321, input3_id=-1, output_id=322, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8995280Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [103]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=322, mean_id=325, var_id=326, weight_id=323, bias_id=324, momentum=0.1, epsilon=1e-05, output1_id=327, output2_id=328, output3_id=329), min_max=None) 2025-06-05T19:07:38.8995550Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [104]: MPSNode(mpsnode_union=MPSReLU(input1_id=327, output_id=330), min_max=None) 2025-06-05T19:07:38.8996120Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [105]: MPSNode(mpsnode_union=MPSConv2D(input1_id=330, input2_id=331, input3_id=-1, output_id=332, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.8996640Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [106]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=332, mean_id=335, var_id=336, weight_id=333, bias_id=334, momentum=0.1, epsilon=1e-05, output1_id=337, output2_id=338, output3_id=339), min_max=None) 2025-06-05T19:07:38.8996880Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [107]: MPSNode(mpsnode_union=MPSReLU(input1_id=337, output_id=340), min_max=None) 2025-06-05T19:07:38.8997450Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [108]: MPSNode(mpsnode_union=MPSConv2D(input1_id=340, input2_id=341, input3_id=-1, output_id=342, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8997910Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [109]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=342, mean_id=345, var_id=346, weight_id=343, bias_id=344, momentum=0.1, epsilon=1e-05, output1_id=347, output2_id=348, output3_id=349), min_max=None) 2025-06-05T19:07:38.8998200Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [110]: MPSNode(mpsnode_union=MPSAdd(input1_id=347, input2_id=320, output_id=350, alpha=1.0), min_max=None) 2025-06-05T19:07:38.8998450Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [111]: MPSNode(mpsnode_union=MPSReLU(input1_id=350, output_id=351), min_max=None) 2025-06-05T19:07:38.8999030Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [112]: MPSNode(mpsnode_union=MPSConv2D(input1_id=351, input2_id=352, input3_id=-1, output_id=353, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.8999500Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [113]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=353, mean_id=356, var_id=357, weight_id=354, bias_id=355, momentum=0.1, epsilon=1e-05, output1_id=358, output2_id=359, output3_id=360), min_max=None) 2025-06-05T19:07:38.8999740Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [114]: MPSNode(mpsnode_union=MPSReLU(input1_id=358, output_id=361), min_max=None) 2025-06-05T19:07:38.9000300Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [115]: MPSNode(mpsnode_union=MPSConv2D(input1_id=361, input2_id=362, input3_id=-1, output_id=363, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9000830Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [116]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=363, mean_id=366, var_id=367, weight_id=364, bias_id=365, momentum=0.1, epsilon=1e-05, output1_id=368, output2_id=369, output3_id=370), min_max=None) 2025-06-05T19:07:38.9001070Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [117]: MPSNode(mpsnode_union=MPSReLU(input1_id=368, output_id=371), min_max=None) 2025-06-05T19:07:38.9001630Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [118]: MPSNode(mpsnode_union=MPSConv2D(input1_id=371, input2_id=372, input3_id=-1, output_id=373, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9002100Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [119]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=373, mean_id=376, var_id=377, weight_id=374, bias_id=375, momentum=0.1, epsilon=1e-05, output1_id=378, output2_id=379, output3_id=380), min_max=None) 2025-06-05T19:07:38.9002430Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [120]: MPSNode(mpsnode_union=MPSAdd(input1_id=378, input2_id=351, output_id=381, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9002670Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [121]: MPSNode(mpsnode_union=MPSReLU(input1_id=381, output_id=382), min_max=None) 2025-06-05T19:07:38.9003340Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [122]: MPSNode(mpsnode_union=MPSConv2D(input1_id=382, input2_id=383, input3_id=-1, output_id=384, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9003830Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [123]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=384, mean_id=387, var_id=388, weight_id=385, bias_id=386, momentum=0.1, epsilon=1e-05, output1_id=389, output2_id=390, output3_id=391), min_max=None) 2025-06-05T19:07:38.9004080Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [124]: MPSNode(mpsnode_union=MPSReLU(input1_id=389, output_id=392), min_max=None) 2025-06-05T19:07:38.9004640Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [125]: MPSNode(mpsnode_union=MPSConv2D(input1_id=392, input2_id=393, input3_id=-1, output_id=394, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9005110Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [126]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=394, mean_id=397, var_id=398, weight_id=395, bias_id=396, momentum=0.1, epsilon=1e-05, output1_id=399, output2_id=400, output3_id=401), min_max=None) 2025-06-05T19:07:38.9005350Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [127]: MPSNode(mpsnode_union=MPSReLU(input1_id=399, output_id=402), min_max=None) 2025-06-05T19:07:38.9005900Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [128]: MPSNode(mpsnode_union=MPSConv2D(input1_id=402, input2_id=403, input3_id=-1, output_id=404, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9006370Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [129]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=404, mean_id=407, var_id=408, weight_id=405, bias_id=406, momentum=0.1, epsilon=1e-05, output1_id=409, output2_id=410, output3_id=411), min_max=None) 2025-06-05T19:07:38.9006680Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [130]: MPSNode(mpsnode_union=MPSAdd(input1_id=409, input2_id=382, output_id=412, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9006910Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [131]: MPSNode(mpsnode_union=MPSReLU(input1_id=412, output_id=413), min_max=None) 2025-06-05T19:07:38.9007540Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [132]: MPSNode(mpsnode_union=MPSConv2D(input1_id=413, input2_id=414, input3_id=-1, output_id=415, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9008010Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [133]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=415, mean_id=418, var_id=419, weight_id=416, bias_id=417, momentum=0.1, epsilon=1e-05, output1_id=420, output2_id=421, output3_id=422), min_max=None) 2025-06-05T19:07:38.9008250Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [134]: MPSNode(mpsnode_union=MPSReLU(input1_id=420, output_id=423), min_max=None) 2025-06-05T19:07:38.9008820Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [135]: MPSNode(mpsnode_union=MPSConv2D(input1_id=423, input2_id=424, input3_id=-1, output_id=425, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9009360Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [136]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=425, mean_id=428, var_id=429, weight_id=426, bias_id=427, momentum=0.1, epsilon=1e-05, output1_id=430, output2_id=431, output3_id=432), min_max=None) 2025-06-05T19:07:38.9009600Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [137]: MPSNode(mpsnode_union=MPSReLU(input1_id=430, output_id=433), min_max=None) 2025-06-05T19:07:38.9010190Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [138]: MPSNode(mpsnode_union=MPSConv2D(input1_id=433, input2_id=434, input3_id=-1, output_id=435, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9010680Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [139]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=435, mean_id=438, var_id=439, weight_id=436, bias_id=437, momentum=0.1, epsilon=1e-05, output1_id=440, output2_id=441, output3_id=442), min_max=None) 2025-06-05T19:07:38.9010980Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [140]: MPSNode(mpsnode_union=MPSAdd(input1_id=440, input2_id=413, output_id=443, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9011210Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [141]: MPSNode(mpsnode_union=MPSReLU(input1_id=443, output_id=444), min_max=None) 2025-06-05T19:07:38.9011770Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [142]: MPSNode(mpsnode_union=MPSConv2D(input1_id=444, input2_id=445, input3_id=-1, output_id=446, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9012330Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [143]: MPSNode(mpsnode_union=MPSConv2D(input1_id=444, input2_id=447, input3_id=-1, output_id=448, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9012790Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [144]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=446, mean_id=451, var_id=452, weight_id=449, bias_id=450, momentum=0.1, epsilon=1e-05, output1_id=453, output2_id=454, output3_id=455), min_max=None) 2025-06-05T19:07:38.9013260Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [145]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=448, mean_id=458, var_id=459, weight_id=456, bias_id=457, momentum=0.1, epsilon=1e-05, output1_id=460, output2_id=461, output3_id=462), min_max=None) 2025-06-05T19:07:38.9013500Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [146]: MPSNode(mpsnode_union=MPSReLU(input1_id=453, output_id=463), min_max=None) 2025-06-05T19:07:38.9014060Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [147]: MPSNode(mpsnode_union=MPSConv2D(input1_id=463, input2_id=464, input3_id=-1, output_id=465, stride_x=2, stride_y=2, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9014590Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [148]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=465, mean_id=468, var_id=469, weight_id=466, bias_id=467, momentum=0.1, epsilon=1e-05, output1_id=470, output2_id=471, output3_id=472), min_max=None) 2025-06-05T19:07:38.9014830Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [149]: MPSNode(mpsnode_union=MPSReLU(input1_id=470, output_id=473), min_max=None) 2025-06-05T19:07:38.9015390Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [150]: MPSNode(mpsnode_union=MPSConv2D(input1_id=473, input2_id=474, input3_id=-1, output_id=475, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9015840Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [151]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=475, mean_id=478, var_id=479, weight_id=476, bias_id=477, momentum=0.1, epsilon=1e-05, output1_id=480, output2_id=481, output3_id=482), min_max=None) 2025-06-05T19:07:38.9016170Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [152]: MPSNode(mpsnode_union=MPSAdd(input1_id=480, input2_id=460, output_id=483, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9016410Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [153]: MPSNode(mpsnode_union=MPSReLU(input1_id=483, output_id=484), min_max=None) 2025-06-05T19:07:38.9016990Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [154]: MPSNode(mpsnode_union=MPSConv2D(input1_id=484, input2_id=485, input3_id=-1, output_id=486, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9017480Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [155]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=486, mean_id=489, var_id=490, weight_id=487, bias_id=488, momentum=0.1, epsilon=1e-05, output1_id=491, output2_id=492, output3_id=493), min_max=None) 2025-06-05T19:07:38.9017720Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [156]: MPSNode(mpsnode_union=MPSReLU(input1_id=491, output_id=494), min_max=None) 2025-06-05T19:07:38.9018280Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [157]: MPSNode(mpsnode_union=MPSConv2D(input1_id=494, input2_id=495, input3_id=-1, output_id=496, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9018740Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [158]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=496, mean_id=499, var_id=500, weight_id=497, bias_id=498, momentum=0.1, epsilon=1e-05, output1_id=501, output2_id=502, output3_id=503), min_max=None) 2025-06-05T19:07:38.9018980Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [159]: MPSNode(mpsnode_union=MPSReLU(input1_id=501, output_id=504), min_max=None) 2025-06-05T19:07:38.9019530Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [160]: MPSNode(mpsnode_union=MPSConv2D(input1_id=504, input2_id=505, input3_id=-1, output_id=506, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9019990Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [161]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=506, mean_id=509, var_id=510, weight_id=507, bias_id=508, momentum=0.1, epsilon=1e-05, output1_id=511, output2_id=512, output3_id=513), min_max=None) 2025-06-05T19:07:38.9020290Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [162]: MPSNode(mpsnode_union=MPSAdd(input1_id=511, input2_id=484, output_id=514, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9020530Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [163]: MPSNode(mpsnode_union=MPSReLU(input1_id=514, output_id=515), min_max=None) 2025-06-05T19:07:38.9021140Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [164]: MPSNode(mpsnode_union=MPSConv2D(input1_id=515, input2_id=516, input3_id=-1, output_id=517, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9021610Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [165]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=517, mean_id=520, var_id=521, weight_id=518, bias_id=519, momentum=0.1, epsilon=1e-05, output1_id=522, output2_id=523, output3_id=524), min_max=None) 2025-06-05T19:07:38.9021860Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [166]: MPSNode(mpsnode_union=MPSReLU(input1_id=522, output_id=525), min_max=None) 2025-06-05T19:07:38.9022410Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [167]: MPSNode(mpsnode_union=MPSConv2D(input1_id=525, input2_id=526, input3_id=-1, output_id=527, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:07:38.9022930Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [168]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=527, mean_id=530, var_id=531, weight_id=528, bias_id=529, momentum=0.1, epsilon=1e-05, output1_id=532, output2_id=533, output3_id=534), min_max=None) 2025-06-05T19:07:38.9023170Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [169]: MPSNode(mpsnode_union=MPSReLU(input1_id=532, output_id=535), min_max=None) 2025-06-05T19:07:38.9023770Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [170]: MPSNode(mpsnode_union=MPSConv2D(input1_id=535, input2_id=536, input3_id=-1, output_id=537, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:07:38.9024270Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [171]: MPSNode(mpsnode_union=MPSBatchNorm(input_id=537, mean_id=540, var_id=541, weight_id=538, bias_id=539, momentum=0.1, epsilon=1e-05, output1_id=542, output2_id=543, output3_id=544), min_max=None) 2025-06-05T19:07:38.9024570Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [172]: MPSNode(mpsnode_union=MPSAdd(input1_id=542, input2_id=515, output_id=545, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9024810Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [173]: MPSNode(mpsnode_union=MPSReLU(input1_id=545, output_id=546), min_max=None) 2025-06-05T19:07:38.9025140Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [174]: MPSNode(mpsnode_union=MPSMean(input1_id=546, output_id=547, num_dims=2, dims=[-1, -2], keep_dims=True), min_max=None) 2025-06-05T19:07:38.9025440Z [INFO 2025-06-05 19:07:38,893 mps_preprocess.py:288] [175]: MPSNode(mpsnode_union=MPSView(input1_id=547, output_id=548, num_dims=2, shape=[1, 2048]), min_max=None) 2025-06-05T19:07:38.9025780Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:288] [176]: MPSNode(mpsnode_union=MPSAddmm(input1_id=549, input2_id=548, input3_id=4, output_id=550, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:07:38.9026120Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:288] [177]: MPSNode(mpsnode_union=MPSCast(input1_id=550, output_id=550, dtype=), min_max=None) 2025-06-05T19:07:38.9026230Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:289] MPS values: 2025-06-05T19:07:38.9026500Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [0]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9026770Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [1]: MPSTensor(datatype=1, num_dims=4, dims=[64, 3, 7, 7], constant_buffer_size=18816, segment_offset=0) 2025-06-05T19:07:38.9027030Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [2]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9027320Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [3]: MPSTensor(datatype=1, num_dims=2, dims=[1000, 2048], constant_buffer_size=4096000, segment_offset=18816) 2025-06-05T19:07:38.9027630Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [4]: MPSTensor(datatype=2, num_dims=2, dims=[2048, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9027900Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4114816) 2025-06-05T19:07:38.9028160Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [6]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4114944) 2025-06-05T19:07:38.9028420Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [7]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4115072) 2025-06-05T19:07:38.9028680Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [8]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4115200) 2025-06-05T19:07:38.9028980Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [9]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9029230Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [10]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9029470Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [11]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9029760Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [12]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 112, 112], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9030050Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [13]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9030310Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [14]: MPSTensor(datatype=9, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9030590Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [15]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 1, 1], constant_buffer_size=8192, segment_offset=4115328) 2025-06-05T19:07:38.9030850Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [16]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9031130Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [17]: MPSTensor(datatype=1, num_dims=4, dims=[256, 64, 1, 1], constant_buffer_size=32768, segment_offset=4123520) 2025-06-05T19:07:38.9031390Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [18]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9031650Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [19]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4156288) 2025-06-05T19:07:38.9031910Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [20]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4156416) 2025-06-05T19:07:38.9032170Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [21]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4156544) 2025-06-05T19:07:38.9032430Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [22]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4156672) 2025-06-05T19:07:38.9032700Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [23]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9032950Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [24]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9033200Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [25]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9033540Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [26]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4156800) 2025-06-05T19:07:38.9033810Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [27]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4157312) 2025-06-05T19:07:38.9034080Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [28]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4157824) 2025-06-05T19:07:38.9034340Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [29]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4158336) 2025-06-05T19:07:38.9034610Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [30]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9034900Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [31]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9035150Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [32]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9035410Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [33]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9035730Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [34]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=4158848) 2025-06-05T19:07:38.9036020Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [35]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9036280Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [36]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4232576) 2025-06-05T19:07:38.9036550Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [37]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4232704) 2025-06-05T19:07:38.9036810Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [38]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4232832) 2025-06-05T19:07:38.9037070Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [39]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4232960) 2025-06-05T19:07:38.9037330Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [40]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9037570Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [41]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9037810Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [42]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9038080Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [43]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9038360Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [44]: MPSTensor(datatype=1, num_dims=4, dims=[256, 64, 1, 1], constant_buffer_size=32768, segment_offset=4233088) 2025-06-05T19:07:38.9038630Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [45]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9038890Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [46]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4265856) 2025-06-05T19:07:38.9039160Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [47]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4266368) 2025-06-05T19:07:38.9039480Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [48]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4266880) 2025-06-05T19:07:38.9039760Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [49]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4267392) 2025-06-05T19:07:38.9040020Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [50]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9040270Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [51]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9040520Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [52]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9040820Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [53]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9041080Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [54]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9041360Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [55]: MPSTensor(datatype=1, num_dims=4, dims=[64, 256, 1, 1], constant_buffer_size=32768, segment_offset=4267904) 2025-06-05T19:07:38.9041690Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [56]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9041960Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [57]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4300672) 2025-06-05T19:07:38.9042230Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [58]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4300800) 2025-06-05T19:07:38.9042490Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [59]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4300928) 2025-06-05T19:07:38.9042740Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [60]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4301056) 2025-06-05T19:07:38.9043000Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [61]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9043250Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [62]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9043490Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [63]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9043750Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [64]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9044020Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [65]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=4301184) 2025-06-05T19:07:38.9044280Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [66]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9044540Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [67]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4374912) 2025-06-05T19:07:38.9044800Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [68]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4375040) 2025-06-05T19:07:38.9045060Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [69]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4375168) 2025-06-05T19:07:38.9045380Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [70]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4375296) 2025-06-05T19:07:38.9045640Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [71]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9045890Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [72]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9046140Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [73]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9046400Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [74]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9046710Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [75]: MPSTensor(datatype=1, num_dims=4, dims=[256, 64, 1, 1], constant_buffer_size=32768, segment_offset=4375424) 2025-06-05T19:07:38.9046970Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [76]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9047240Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [77]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4408192) 2025-06-05T19:07:38.9047560Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [78]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4408704) 2025-06-05T19:07:38.9047830Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [79]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4409216) 2025-06-05T19:07:38.9048090Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [80]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4409728) 2025-06-05T19:07:38.9048360Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [81]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9048610Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [82]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9048860Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [83]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9049120Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [84]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9049380Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [85]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9049660Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [86]: MPSTensor(datatype=1, num_dims=4, dims=[64, 256, 1, 1], constant_buffer_size=32768, segment_offset=4410240) 2025-06-05T19:07:38.9049920Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [87]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9050180Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [88]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4443008) 2025-06-05T19:07:38.9050450Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [89]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4443136) 2025-06-05T19:07:38.9050710Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [90]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4443264) 2025-06-05T19:07:38.9050970Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [91]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4443392) 2025-06-05T19:07:38.9051270Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [92]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9051530Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [93]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9051780Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [94]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9052040Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [95]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9052310Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [96]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=4443520) 2025-06-05T19:07:38.9052600Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [97]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9052870Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [98]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4517248) 2025-06-05T19:07:38.9053130Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [99]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4517376) 2025-06-05T19:07:38.9053450Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [100]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4517504) 2025-06-05T19:07:38.9053720Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [101]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=4517632) 2025-06-05T19:07:38.9053980Z [INFO 2025-06-05 19:07:38,894 mps_preprocess.py:291] [102]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9054240Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [103]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9054480Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [104]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9054750Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [105]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9055030Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [106]: MPSTensor(datatype=1, num_dims=4, dims=[256, 64, 1, 1], constant_buffer_size=32768, segment_offset=4517760) 2025-06-05T19:07:38.9055300Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [107]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9055570Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [108]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4550528) 2025-06-05T19:07:38.9055840Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [109]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4551040) 2025-06-05T19:07:38.9056110Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [110]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4551552) 2025-06-05T19:07:38.9056370Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [111]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=4552064) 2025-06-05T19:07:38.9056640Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [112]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9056900Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [113]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9057220Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [114]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9057490Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [115]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9057760Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [116]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9058050Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [117]: MPSTensor(datatype=1, num_dims=4, dims=[128, 256, 1, 1], constant_buffer_size=65536, segment_offset=4552576) 2025-06-05T19:07:38.9058360Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [118]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9064190Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [119]: MPSTensor(datatype=1, num_dims=4, dims=[512, 256, 1, 1], constant_buffer_size=262144, segment_offset=4618112) 2025-06-05T19:07:38.9064470Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [120]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9064810Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [121]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=4880256) 2025-06-05T19:07:38.9065110Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [122]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=4880512) 2025-06-05T19:07:38.9065380Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [123]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=4880768) 2025-06-05T19:07:38.9065650Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [124]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=4881024) 2025-06-05T19:07:38.9065910Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [125]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9066160Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [126]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9066420Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [127]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9066690Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [128]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=4881280) 2025-06-05T19:07:38.9066960Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [129]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=4882304) 2025-06-05T19:07:38.9067230Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [130]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=4883328) 2025-06-05T19:07:38.9067490Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [131]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=4884352) 2025-06-05T19:07:38.9067760Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [132]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9068010Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [133]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9068270Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [134]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9068530Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [135]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 56, 56], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9068900Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [136]: MPSTensor(datatype=1, num_dims=4, dims=[128, 128, 3, 3], constant_buffer_size=294912, segment_offset=4885376) 2025-06-05T19:07:38.9069160Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [137]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9069440Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [138]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5180288) 2025-06-05T19:07:38.9069700Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [139]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5180544) 2025-06-05T19:07:38.9070010Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [140]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5180800) 2025-06-05T19:07:38.9070280Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [141]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5181056) 2025-06-05T19:07:38.9070540Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [142]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9070820Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [143]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9071100Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [144]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9071360Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [145]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9071650Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [146]: MPSTensor(datatype=1, num_dims=4, dims=[512, 128, 1, 1], constant_buffer_size=131072, segment_offset=5181312) 2025-06-05T19:07:38.9071920Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [147]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9072180Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [148]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5312384) 2025-06-05T19:07:38.9072450Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [149]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5313408) 2025-06-05T19:07:38.9072720Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [150]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5314432) 2025-06-05T19:07:38.9072990Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [151]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5315456) 2025-06-05T19:07:38.9073250Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [152]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9073500Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [153]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9073750Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [154]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9074010Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [155]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9074280Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [156]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9074620Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [157]: MPSTensor(datatype=1, num_dims=4, dims=[128, 512, 1, 1], constant_buffer_size=131072, segment_offset=5316480) 2025-06-05T19:07:38.9074880Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [158]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9075150Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [159]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5447552) 2025-06-05T19:07:38.9075420Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [160]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5447808) 2025-06-05T19:07:38.9075680Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [161]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5448064) 2025-06-05T19:07:38.9075980Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [162]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5448320) 2025-06-05T19:07:38.9076240Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [163]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9076490Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [164]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9076760Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [165]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9077060Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [166]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9077340Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [167]: MPSTensor(datatype=1, num_dims=4, dims=[128, 128, 3, 3], constant_buffer_size=294912, segment_offset=5448576) 2025-06-05T19:07:38.9077610Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [168]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9077870Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [169]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5743488) 2025-06-05T19:07:38.9078150Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [170]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5743744) 2025-06-05T19:07:38.9078410Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [171]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5744000) 2025-06-05T19:07:38.9078680Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [172]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=5744256) 2025-06-05T19:07:38.9078940Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [173]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9079190Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [174]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9079440Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [175]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9079710Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [176]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9080000Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [177]: MPSTensor(datatype=1, num_dims=4, dims=[512, 128, 1, 1], constant_buffer_size=131072, segment_offset=5744512) 2025-06-05T19:07:38.9080260Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [178]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9080590Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [179]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5875584) 2025-06-05T19:07:38.9080860Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [180]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5876608) 2025-06-05T19:07:38.9081140Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [181]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5877632) 2025-06-05T19:07:38.9081410Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [182]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=5878656) 2025-06-05T19:07:38.9081670Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [183]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9081960Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [184]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9082210Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [185]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9082470Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9082780Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [187]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9083070Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [188]: MPSTensor(datatype=1, num_dims=4, dims=[128, 512, 1, 1], constant_buffer_size=131072, segment_offset=5879680) 2025-06-05T19:07:38.9083330Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [189]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9083600Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [190]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6010752) 2025-06-05T19:07:38.9083860Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [191]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6011008) 2025-06-05T19:07:38.9084130Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [192]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6011264) 2025-06-05T19:07:38.9084400Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [193]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6011520) 2025-06-05T19:07:38.9084660Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [194]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9084910Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [195]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9085160Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [196]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9085420Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [197]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9085710Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [198]: MPSTensor(datatype=1, num_dims=4, dims=[128, 128, 3, 3], constant_buffer_size=294912, segment_offset=6011776) 2025-06-05T19:07:38.9085970Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [199]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9086240Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [200]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6306688) 2025-06-05T19:07:38.9086570Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [201]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6306944) 2025-06-05T19:07:38.9086840Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [202]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6307200) 2025-06-05T19:07:38.9087110Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [203]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6307456) 2025-06-05T19:07:38.9087370Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [204]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9087670Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [205]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9087920Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [206]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9088180Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [207]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9088500Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [208]: MPSTensor(datatype=1, num_dims=4, dims=[512, 128, 1, 1], constant_buffer_size=131072, segment_offset=6307712) 2025-06-05T19:07:38.9088790Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [209]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9089060Z [INFO 2025-06-05 19:07:38,895 mps_preprocess.py:291] [210]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=6438784) 2025-06-05T19:07:38.9089330Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [211]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=6439808) 2025-06-05T19:07:38.9089600Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [212]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=6440832) 2025-06-05T19:07:38.9089870Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [213]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=6441856) 2025-06-05T19:07:38.9090130Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [214]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9090390Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [215]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9090640Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [216]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9090910Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [217]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9091170Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [218]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9091460Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [219]: MPSTensor(datatype=1, num_dims=4, dims=[128, 512, 1, 1], constant_buffer_size=131072, segment_offset=6442880) 2025-06-05T19:07:38.9091720Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [220]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9091990Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [221]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6573952) 2025-06-05T19:07:38.9092260Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [222]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6574208) 2025-06-05T19:07:38.9092580Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [223]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6574464) 2025-06-05T19:07:38.9092850Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [224]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6574720) 2025-06-05T19:07:38.9093120Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [225]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9093370Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [226]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9093660Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [227]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9093930Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [228]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9094210Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [229]: MPSTensor(datatype=1, num_dims=4, dims=[128, 128, 3, 3], constant_buffer_size=294912, segment_offset=6574976) 2025-06-05T19:07:38.9094500Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [230]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9094790Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [231]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6869888) 2025-06-05T19:07:38.9095060Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [232]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6870144) 2025-06-05T19:07:38.9095330Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [233]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6870400) 2025-06-05T19:07:38.9095600Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [234]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=6870656) 2025-06-05T19:07:38.9095860Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [235]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9096120Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [236]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9096370Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [237]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9096630Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [238]: MPSTensor(datatype=2, num_dims=4, dims=[1, 128, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9096920Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [239]: MPSTensor(datatype=1, num_dims=4, dims=[512, 128, 1, 1], constant_buffer_size=131072, segment_offset=6870912) 2025-06-05T19:07:38.9097180Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [240]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9097450Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [241]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=7001984) 2025-06-05T19:07:38.9097730Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [242]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=7003008) 2025-06-05T19:07:38.9097990Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [243]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=7004032) 2025-06-05T19:07:38.9098330Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [244]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=7005056) 2025-06-05T19:07:38.9098600Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [245]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9098850Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [246]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9099100Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [247]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9099360Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [248]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9099660Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [249]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9099940Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [250]: MPSTensor(datatype=1, num_dims=4, dims=[256, 512, 1, 1], constant_buffer_size=262144, segment_offset=7006080) 2025-06-05T19:07:38.9100210Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [251]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9100580Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [252]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 512, 1, 1], constant_buffer_size=1048576, segment_offset=7268224) 2025-06-05T19:07:38.9100850Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [253]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9101120Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [254]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=8316800) 2025-06-05T19:07:38.9101390Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [255]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=8317312) 2025-06-05T19:07:38.9101670Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [256]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=8317824) 2025-06-05T19:07:38.9101940Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [257]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=8318336) 2025-06-05T19:07:38.9102200Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [258]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9102450Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [259]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9102700Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [260]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9102970Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [261]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=8318848) 2025-06-05T19:07:38.9103240Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [262]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=8320896) 2025-06-05T19:07:38.9103520Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [263]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=8322944) 2025-06-05T19:07:38.9103790Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [264]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=8324992) 2025-06-05T19:07:38.9104050Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [265]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9104350Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [266]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9104610Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [267]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9104870Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [268]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 28, 28], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9105160Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [269]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=8327040) 2025-06-05T19:07:38.9105450Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [270]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9105730Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [271]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=9506688) 2025-06-05T19:07:38.9105990Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [272]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=9507200) 2025-06-05T19:07:38.9106260Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [273]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=9507712) 2025-06-05T19:07:38.9106580Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [274]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=9508224) 2025-06-05T19:07:38.9106840Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [275]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9107090Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [276]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9107340Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [277]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9107600Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [278]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9107900Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [279]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=9508736) 2025-06-05T19:07:38.9108160Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [280]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9108430Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [281]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=10033024) 2025-06-05T19:07:38.9108710Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [282]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=10035072) 2025-06-05T19:07:38.9108980Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [283]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=10037120) 2025-06-05T19:07:38.9109250Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [284]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=10039168) 2025-06-05T19:07:38.9109520Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [285]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9109770Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [286]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9110020Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [287]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9110360Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [288]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9110630Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [289]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9110920Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [290]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=10041216) 2025-06-05T19:07:38.9111180Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [291]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9111520Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [292]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=10565504) 2025-06-05T19:07:38.9111790Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [293]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=10566016) 2025-06-05T19:07:38.9112060Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [294]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=10566528) 2025-06-05T19:07:38.9112360Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [295]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=10567040) 2025-06-05T19:07:38.9112650Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [296]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9112900Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [297]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9113150Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [298]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9113420Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [299]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9113710Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [300]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=10567552) 2025-06-05T19:07:38.9113970Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [301]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9114240Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [302]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11747200) 2025-06-05T19:07:38.9114510Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [303]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11747712) 2025-06-05T19:07:38.9114780Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [304]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11748224) 2025-06-05T19:07:38.9115050Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [305]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=11748736) 2025-06-05T19:07:38.9115320Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [306]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9115570Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [307]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9115820Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [308]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9116140Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [309]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9116440Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [310]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=11749248) 2025-06-05T19:07:38.9116710Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [311]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9116980Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [312]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=12273536) 2025-06-05T19:07:38.9117250Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [313]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=12275584) 2025-06-05T19:07:38.9117560Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [314]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=12277632) 2025-06-05T19:07:38.9117840Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [315]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=12279680) 2025-06-05T19:07:38.9118100Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [316]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9118390Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [317]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9118650Z [INFO 2025-06-05 19:07:38,896 mps_preprocess.py:291] [318]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9118920Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [319]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9119180Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [320]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9119480Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [321]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=12281728) 2025-06-05T19:07:38.9119750Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [322]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9120020Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [323]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=12806016) 2025-06-05T19:07:38.9120290Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [324]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=12806528) 2025-06-05T19:07:38.9120560Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [325]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=12807040) 2025-06-05T19:07:38.9120830Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [326]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=12807552) 2025-06-05T19:07:38.9121100Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [327]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9121350Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [328]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9121600Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [329]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9121870Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [330]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9122220Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [331]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=12808064) 2025-06-05T19:07:38.9122480Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [332]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9122760Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [333]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=13987712) 2025-06-05T19:07:38.9123030Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [334]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=13988224) 2025-06-05T19:07:38.9123330Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [335]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=13988736) 2025-06-05T19:07:38.9123620Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [336]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=13989248) 2025-06-05T19:07:38.9123890Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [337]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9124140Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [338]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9124450Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [339]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9124720Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [340]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9125010Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [341]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=13989760) 2025-06-05T19:07:38.9125290Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [342]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9125560Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [343]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=14514048) 2025-06-05T19:07:38.9125840Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [344]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=14516096) 2025-06-05T19:07:38.9126110Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [345]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=14518144) 2025-06-05T19:07:38.9126380Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [346]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=14520192) 2025-06-05T19:07:38.9126650Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [347]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9126910Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [348]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9127160Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [349]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9127430Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [350]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9127690Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [351]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9127990Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [352]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=14522240) 2025-06-05T19:07:38.9128300Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [353]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9128570Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [354]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15046528) 2025-06-05T19:07:38.9128850Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [355]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15047040) 2025-06-05T19:07:38.9129120Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [356]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15047552) 2025-06-05T19:07:38.9129420Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [357]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=15048064) 2025-06-05T19:07:38.9129680Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [358]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9129930Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [359]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9130200Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [360]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9130490Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [361]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9130790Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [362]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=15048576) 2025-06-05T19:07:38.9131050Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [363]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9131320Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [364]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=16228224) 2025-06-05T19:07:38.9131590Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [365]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=16228736) 2025-06-05T19:07:38.9131870Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [366]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=16229248) 2025-06-05T19:07:38.9132140Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [367]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=16229760) 2025-06-05T19:07:38.9132410Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [368]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9132660Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [369]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9132920Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [370]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9133190Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [371]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9133480Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [372]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=16230272) 2025-06-05T19:07:38.9133760Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [373]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9134090Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [374]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=16754560) 2025-06-05T19:07:38.9134370Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [375]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=16756608) 2025-06-05T19:07:38.9134650Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [376]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=16758656) 2025-06-05T19:07:38.9134920Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [377]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=16760704) 2025-06-05T19:07:38.9135190Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [378]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9135480Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [379]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9135740Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [380]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9136010Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [381]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9136330Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [382]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9136630Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [383]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=16762752) 2025-06-05T19:07:38.9136890Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [384]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9137160Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [385]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17287040) 2025-06-05T19:07:38.9137440Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [386]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17287552) 2025-06-05T19:07:38.9137710Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [387]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17288064) 2025-06-05T19:07:38.9137980Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [388]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=17288576) 2025-06-05T19:07:38.9138240Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [389]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9138490Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [390]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9138740Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [391]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9139010Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [392]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9139300Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [393]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=17289088) 2025-06-05T19:07:38.9139560Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [394]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9139830Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [395]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=18468736) 2025-06-05T19:07:38.9140160Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [396]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=18469248) 2025-06-05T19:07:38.9140430Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [397]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=18469760) 2025-06-05T19:07:38.9140700Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [398]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=18470272) 2025-06-05T19:07:38.9140980Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [399]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9141260Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [400]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9141520Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [401]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9141790Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [402]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9142110Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [403]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=18470784) 2025-06-05T19:07:38.9142400Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [404]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9142670Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [405]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=18995072) 2025-06-05T19:07:38.9142950Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [406]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=18997120) 2025-06-05T19:07:38.9143220Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [407]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=18999168) 2025-06-05T19:07:38.9143490Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [408]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=19001216) 2025-06-05T19:07:38.9143760Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [409]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9144010Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [410]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9144260Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [411]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9144530Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [412]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9144790Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [413]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9145100Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [414]: MPSTensor(datatype=1, num_dims=4, dims=[256, 1024, 1, 1], constant_buffer_size=524288, segment_offset=19003264) 2025-06-05T19:07:38.9145370Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [415]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9145640Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [416]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=19527552) 2025-06-05T19:07:38.9145960Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [417]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=19528064) 2025-06-05T19:07:38.9146230Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [418]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=19528576) 2025-06-05T19:07:38.9146500Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [419]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=19529088) 2025-06-05T19:07:38.9146770Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [420]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9147010Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [421]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9147310Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [422]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9147570Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [423]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9147860Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [424]: MPSTensor(datatype=1, num_dims=4, dims=[256, 256, 3, 3], constant_buffer_size=1179648, segment_offset=19529600) 2025-06-05T19:07:38.9148140Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [425]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9148450Z [INFO 2025-06-05 19:07:38,897 mps_preprocess.py:291] [426]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=20709248) 2025-06-05T19:07:38.9148720Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [427]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=20709760) 2025-06-05T19:07:38.9148990Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [428]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=20710272) 2025-06-05T19:07:38.9149260Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [429]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=20710784) 2025-06-05T19:07:38.9149520Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [430]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9149770Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [431]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9150020Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [432]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9150290Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [433]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9150580Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [434]: MPSTensor(datatype=1, num_dims=4, dims=[1024, 256, 1, 1], constant_buffer_size=524288, segment_offset=20711296) 2025-06-05T19:07:38.9150850Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [435]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9151130Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [436]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=21235584) 2025-06-05T19:07:38.9151400Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [437]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=21237632) 2025-06-05T19:07:38.9151670Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [438]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=21239680) 2025-06-05T19:07:38.9151990Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [439]: MPSTensor(datatype=1, num_dims=1, dims=[1024], constant_buffer_size=2048, segment_offset=21241728) 2025-06-05T19:07:38.9152260Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [440]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9152510Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [441]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9152760Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [442]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9153020Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [443]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9153320Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [444]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1024, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9153620Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [445]: MPSTensor(datatype=1, num_dims=4, dims=[512, 1024, 1, 1], constant_buffer_size=1048576, segment_offset=21243776) 2025-06-05T19:07:38.9153880Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [446]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9154220Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [447]: MPSTensor(datatype=1, num_dims=4, dims=[2048, 1024, 1, 1], constant_buffer_size=4194304, segment_offset=22292352) 2025-06-05T19:07:38.9154490Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [448]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9154760Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [449]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=26486656) 2025-06-05T19:07:38.9155030Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [450]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=26487680) 2025-06-05T19:07:38.9155300Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [451]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=26488704) 2025-06-05T19:07:38.9155570Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [452]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=26489728) 2025-06-05T19:07:38.9155830Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [453]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9156080Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [454]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9156340Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [455]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9156610Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [456]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=26490752) 2025-06-05T19:07:38.9156880Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [457]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=26494848) 2025-06-05T19:07:38.9157150Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [458]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=26498944) 2025-06-05T19:07:38.9157430Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [459]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=26503040) 2025-06-05T19:07:38.9157690Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [460]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9158010Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [461]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9158270Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [462]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9158540Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [463]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 14, 14], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9158830Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [464]: MPSTensor(datatype=1, num_dims=4, dims=[512, 512, 3, 3], constant_buffer_size=4718592, segment_offset=26507136) 2025-06-05T19:07:38.9159140Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [465]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9159410Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [466]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=31225728) 2025-06-05T19:07:38.9159680Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [467]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=31226752) 2025-06-05T19:07:38.9160000Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [468]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=31227776) 2025-06-05T19:07:38.9160290Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [469]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=31228800) 2025-06-05T19:07:38.9160550Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [470]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9160800Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [471]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9161050Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [472]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9161310Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [473]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9161600Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [474]: MPSTensor(datatype=1, num_dims=4, dims=[2048, 512, 1, 1], constant_buffer_size=2097152, segment_offset=31229824) 2025-06-05T19:07:38.9161870Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [475]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9162140Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [476]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=33326976) 2025-06-05T19:07:38.9162410Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [477]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=33331072) 2025-06-05T19:07:38.9162680Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [478]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=33335168) 2025-06-05T19:07:38.9162950Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [479]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=33339264) 2025-06-05T19:07:38.9163210Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [480]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9163470Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [481]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9163770Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [482]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9164040Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [483]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9164300Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [484]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9164600Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [485]: MPSTensor(datatype=1, num_dims=4, dims=[512, 2048, 1, 1], constant_buffer_size=2097152, segment_offset=33343360) 2025-06-05T19:07:38.9164860Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [486]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9165170Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [487]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=35440512) 2025-06-05T19:07:38.9165450Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [488]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=35441536) 2025-06-05T19:07:38.9165710Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [489]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=35442560) 2025-06-05T19:07:38.9166020Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [490]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=35443584) 2025-06-05T19:07:38.9166290Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [491]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9166550Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [492]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9166800Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [493]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9167060Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [494]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9167350Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [495]: MPSTensor(datatype=1, num_dims=4, dims=[512, 512, 3, 3], constant_buffer_size=4718592, segment_offset=35444608) 2025-06-05T19:07:38.9167620Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [496]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9167890Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [497]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=40163200) 2025-06-05T19:07:38.9168160Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [498]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=40164224) 2025-06-05T19:07:38.9168430Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [499]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=40165248) 2025-06-05T19:07:38.9168700Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [500]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=40166272) 2025-06-05T19:07:38.9168970Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [501]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9169220Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [502]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9169470Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [503]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9169780Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [504]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9170080Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [505]: MPSTensor(datatype=1, num_dims=4, dims=[2048, 512, 1, 1], constant_buffer_size=2097152, segment_offset=40167296) 2025-06-05T19:07:38.9170350Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [506]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9170630Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [507]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=42264448) 2025-06-05T19:07:38.9170940Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [508]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=42268544) 2025-06-05T19:07:38.9171210Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [509]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=42272640) 2025-06-05T19:07:38.9171480Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [510]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=42276736) 2025-06-05T19:07:38.9171740Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [511]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9172050Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [512]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9172310Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [513]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9172570Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [514]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9172840Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [515]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9173130Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [516]: MPSTensor(datatype=1, num_dims=4, dims=[512, 2048, 1, 1], constant_buffer_size=2097152, segment_offset=42280832) 2025-06-05T19:07:38.9173400Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [517]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9173670Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [518]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=44377984) 2025-06-05T19:07:38.9173940Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [519]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=44379008) 2025-06-05T19:07:38.9174210Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [520]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=44380032) 2025-06-05T19:07:38.9174480Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [521]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=44381056) 2025-06-05T19:07:38.9174740Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [522]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9175000Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [523]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9175250Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [524]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9175510Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [525]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9175850Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [526]: MPSTensor(datatype=1, num_dims=4, dims=[512, 512, 3, 3], constant_buffer_size=4718592, segment_offset=44382080) 2025-06-05T19:07:38.9176120Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [527]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9176390Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [528]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49100672) 2025-06-05T19:07:38.9176660Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [529]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49101696) 2025-06-05T19:07:38.9176960Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [530]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49102720) 2025-06-05T19:07:38.9177230Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [531]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49103744) 2025-06-05T19:07:38.9177490Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [532]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9177760Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [533]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9178030Z [INFO 2025-06-05 19:07:38,898 mps_preprocess.py:291] [534]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9178290Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [535]: MPSTensor(datatype=2, num_dims=4, dims=[1, 512, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9178590Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [536]: MPSTensor(datatype=1, num_dims=4, dims=[2048, 512, 1, 1], constant_buffer_size=2097152, segment_offset=49104768) 2025-06-05T19:07:38.9178860Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [537]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9179140Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [538]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=51201920) 2025-06-05T19:07:38.9179420Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [539]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=51206016) 2025-06-05T19:07:38.9179690Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [540]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=51210112) 2025-06-05T19:07:38.9179970Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [541]: MPSTensor(datatype=1, num_dims=1, dims=[2048], constant_buffer_size=4096, segment_offset=51214208) 2025-06-05T19:07:38.9180240Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [542]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9180490Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [543]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9180740Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [544]: MPSTensor(datatype=2, num_dims=1, dims=[0], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9181010Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [545]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9181310Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [546]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 7, 7], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9181630Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [547]: MPSTensor(datatype=2, num_dims=4, dims=[1, 2048, 1, 1], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9181900Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [548]: MPSTensor(datatype=2, num_dims=2, dims=[1, 2048], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9182170Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [549]: MPSTensor(datatype=1, num_dims=1, dims=[1000], constant_buffer_size=2000, segment_offset=51218304) 2025-06-05T19:07:38.9182430Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:291] [550]: MPSTensor(datatype=2, num_dims=2, dims=[1, 1000], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:07:38.9182540Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:292] Input ids: 2025-06-05T19:07:38.9182680Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:294] 0 2025-06-05T19:07:38.9182780Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:295] Constant ids: 2025-06-05T19:07:38.9182870Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 1 2025-06-05T19:07:38.9182960Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 3 2025-06-05T19:07:38.9183050Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 5 2025-06-05T19:07:38.9183130Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 6 2025-06-05T19:07:38.9183220Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 7 2025-06-05T19:07:38.9183300Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 8 2025-06-05T19:07:38.9183450Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 15 2025-06-05T19:07:38.9183540Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 17 2025-06-05T19:07:38.9183630Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 19 2025-06-05T19:07:38.9183710Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 20 2025-06-05T19:07:38.9183800Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 21 2025-06-05T19:07:38.9183890Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 22 2025-06-05T19:07:38.9183980Z [INFO 2025-06-05 19:07:38,899 mps_preprocess.py:297] 26 2025-06-05T19:07:38.9184060Z [INFO 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2025-06-05T19:08:19.6272740Z [INFO 2025-06-05 19:07:38,901 mps_preprocess.py:298] Output ids: 2025-06-05T19:08:19.6273010Z [INFO 2025-06-05 19:07:38,901 mps_preprocess.py:300] 550 2025-06-05T19:08:19.6273350Z [INFO 2025-06-05 19:07:38,901 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:08:19.6273700Z [INFO 2025-06-05 19:07:39,034 mps_example.py:185] Lowered graph: 2025-06-05T19:08:19.6273910Z graph(): 2025-06-05T19:08:19.6274040Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:08:19.6274300Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:08:19.6274830Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2025-06-05T19:08:19.6275490Z %getitem_54 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:08:19.6275840Z return (getitem_54,) 2025-06-05T19:08:19.6276130Z [DEBUG 2025-06-05 19:07:39,163 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:08:19.6276640Z [DEBUG 2025-06-05 19:07:39,164 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:08:19.6277180Z [DEBUG 2025-06-05 19:07:39,164 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 606112] 2025-06-05T19:08:19.6277680Z [DEBUG 2025-06-05 19:07:39,164 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:08:19.6278350Z [DEBUG 2025-06-05 19:07:39,164 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:08:19.6278990Z [INFO 2025-06-05 19:08:10,237 utils.py:141] Saved exported program to resnet50_mps_float16.pte 2025-06-05T19:08:19.6279220Z 2025-06-05T19:08:19.6279320Z ++ find . -type f -name 'resnet50*.pte' -print -quit 2025-06-05T19:08:19.6279560Z + EXPORTED_MODEL=./resnet50_coreml_all_float16.pte 2025-06-05T19:08:19.6279760Z + [[ 0 -eq 0 ]] 2025-06-05T19:08:19.6279890Z + prepare_artifacts_upload 2025-06-05T19:08:19.6280030Z + '[' -n '' ']' 2025-06-05T19:08:19.6280410Z ##[endgroup] 2025-06-05T19:08:19.6280650Z ##[group]Exporting coreml model: edsr 2025-06-05T19:08:19.6280840Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:08:19.6281020Z + source .ci/scripts/utils.sh 2025-06-05T19:08:19.6281170Z + MODEL_NAME=edsr 2025-06-05T19:08:19.6281290Z + [[ -z edsr ]] 2025-06-05T19:08:19.6281410Z + BUILD_TOOL=cmake 2025-06-05T19:08:19.6281530Z + [[ -z cmake ]] 2025-06-05T19:08:19.6281650Z + BACKEND=coreml 2025-06-05T19:08:19.6281770Z + [[ -z coreml ]] 2025-06-05T19:08:19.6281880Z + UPLOAD_DIR= 2025-06-05T19:08:19.6281990Z + [[ -z python ]] 2025-06-05T19:08:19.6282110Z + which python 2025-06-05T19:08:19.6282330Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:08:19.6282590Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:08:19.6282750Z + EXPORTED_MODEL=edsr 2025-06-05T19:08:19.6282890Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:08:19.6283050Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:08:19.6283200Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:08:19.6283360Z + echo 'Testing edsr with coreml...' 2025-06-05T19:08:19.6283540Z Testing edsr with coreml... 2025-06-05T19:08:19.6283700Z + should_test_coreml=false 2025-06-05T19:08:19.6283850Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:08:19.6284000Z + test_model_with_coreml false 2025-06-05T19:08:19.6284160Z + local should_test=false 2025-06-05T19:08:19.6284300Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:08:19.6290440Z + DTYPE=float16 2025-06-05T19:08:19.6290770Z + python -m examples.apple.coreml.scripts.export --model_name=edsr --compute_precision float16 --use_partitioner 2025-06-05T19:08:19.6291420Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:08:19.6292320Z W0605 19:08:12.834000 12392 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:08:19.6293080Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:08:19.6293830Z Downloading: "https://github.com/Coloquinte/torchSR/releases/download/v1.0.3/edsr64_x2.pt" to /Users/ec2-user/.cache/torch/hub/checkpoints/edsr64_x2.pt 2025-06-05T19:08:19.6294230Z 2025-06-05T19:08:19.6294290Z 0%| | 0.00/5.24M [00:00 MIL Ops: 0%| | 0/94 [00:00 MIL Ops: 99%|█████████▉| 93/94 [00:00<00:00, 3108.82 ops/s] 2025-06-05T19:08:19.6296960Z 2025-06-05T19:08:19.6297150Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00: schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant0,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:08:20.3051240Z call_function aten__to_copy_default_1 : schema = aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor (_lifted_tensor_constant17,) {'dtype': torch.float32, 'memory_format': torch.contiguous_format} 2025-06-05T19:08:20.3052640Z call_function aten_mul_tensor : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (x, aten__to_copy_default) {} 2025-06-05T19:08:20.3053980Z call_function aten_convolution_default : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_mul_tensor, p_sub_mean_weight, p_sub_mean_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3055720Z call_function aten_convolution_default_1 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_convolution_default, p_head_0_weight, p_head_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3057660Z call_function aten_convolution_default_2 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_convolution_default_1, p_body_0_body_0_weight, p_body_0_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3059050Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_2,) {} 2025-06-05T19:08:20.3060380Z call_function aten_convolution_default_3 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default, p_body_0_body_2_weight, p_body_0_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3061900Z call_function aten_mul_tensor_1 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_3, _lifted_tensor_constant1) {} 2025-06-05T19:08:20.3063010Z call_function aten_add_tensor : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_1, aten_convolution_default_1) {} 2025-06-05T19:08:20.3064460Z call_function aten_convolution_default_4 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor, p_body_1_body_0_weight, p_body_1_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3065840Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_4,) {} 2025-06-05T19:08:20.3067210Z call_function aten_convolution_default_5 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_1, p_body_1_body_2_weight, p_body_1_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3068670Z call_function aten_mul_tensor_2 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_5, _lifted_tensor_constant2) {} 2025-06-05T19:08:20.3074740Z call_function aten_add_tensor_1 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_2, aten_add_tensor) {} 2025-06-05T19:08:20.3076160Z call_function aten_convolution_default_6 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_1, p_body_2_body_0_weight, p_body_2_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3077490Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_6,) {} 2025-06-05T19:08:20.3078870Z call_function aten_convolution_default_7 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_2, p_body_2_body_2_weight, p_body_2_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3080290Z call_function aten_mul_tensor_3 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_7, _lifted_tensor_constant3) {} 2025-06-05T19:08:20.3081360Z call_function aten_add_tensor_2 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_3, aten_add_tensor_1) {} 2025-06-05T19:08:20.3082790Z call_function aten_convolution_default_8 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_2, p_body_3_body_0_weight, p_body_3_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3084220Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_8,) {} 2025-06-05T19:08:20.3085550Z call_function aten_convolution_default_9 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_3, p_body_3_body_2_weight, p_body_3_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3086950Z call_function aten_mul_tensor_4 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_9, _lifted_tensor_constant4) {} 2025-06-05T19:08:20.3088030Z call_function aten_add_tensor_3 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_4, aten_add_tensor_2) {} 2025-06-05T19:08:20.3089420Z call_function aten_convolution_default_10 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_3, p_body_4_body_0_weight, p_body_4_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3090740Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_10,) {} 2025-06-05T19:08:20.3092160Z call_function aten_convolution_default_11 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_4, p_body_4_body_2_weight, p_body_4_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3093580Z call_function aten_mul_tensor_5 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_11, _lifted_tensor_constant5) {} 2025-06-05T19:08:20.3094670Z call_function aten_add_tensor_4 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_5, aten_add_tensor_3) {} 2025-06-05T19:08:20.3096110Z call_function aten_convolution_default_12 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_4, p_body_5_body_0_weight, p_body_5_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3097470Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_12,) {} 2025-06-05T19:08:20.3098800Z call_function aten_convolution_default_13 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_5, p_body_5_body_2_weight, p_body_5_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3100200Z call_function aten_mul_tensor_6 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_13, _lifted_tensor_constant6) {} 2025-06-05T19:08:20.3101270Z call_function aten_add_tensor_5 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_6, aten_add_tensor_4) {} 2025-06-05T19:08:20.3102660Z call_function aten_convolution_default_14 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_5, p_body_6_body_0_weight, p_body_6_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3104020Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_14,) {} 2025-06-05T19:08:20.3105350Z call_function aten_convolution_default_15 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_6, p_body_6_body_2_weight, p_body_6_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3106760Z call_function aten_mul_tensor_7 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_15, _lifted_tensor_constant7) {} 2025-06-05T19:08:20.3107920Z call_function aten_add_tensor_6 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_7, aten_add_tensor_5) {} 2025-06-05T19:08:20.3109350Z call_function aten_convolution_default_16 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_6, p_body_7_body_0_weight, p_body_7_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3110670Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_16,) {} 2025-06-05T19:08:20.3112000Z call_function aten_convolution_default_17 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_7, p_body_7_body_2_weight, p_body_7_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3113420Z call_function aten_mul_tensor_8 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_17, _lifted_tensor_constant8) {} 2025-06-05T19:08:20.3114490Z call_function aten_add_tensor_7 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_8, aten_add_tensor_6) {} 2025-06-05T19:08:20.3115880Z call_function aten_convolution_default_18 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_7, p_body_8_body_0_weight, p_body_8_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3117230Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_18,) {} 2025-06-05T19:08:20.3118570Z call_function aten_convolution_default_19 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_8, p_body_8_body_2_weight, p_body_8_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3120020Z call_function aten_mul_tensor_9 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_19, _lifted_tensor_constant9) {} 2025-06-05T19:08:20.3121140Z call_function aten_add_tensor_8 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_9, aten_add_tensor_7) {} 2025-06-05T19:08:20.3122580Z call_function aten_convolution_default_20 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_8, p_body_9_body_0_weight, p_body_9_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3123910Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_20,) {} 2025-06-05T19:08:20.3125240Z call_function aten_convolution_default_21 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_9, p_body_9_body_2_weight, p_body_9_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3126640Z call_function aten_mul_tensor_10 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_21, _lifted_tensor_constant10) {} 2025-06-05T19:08:20.3127720Z call_function aten_add_tensor_9 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_10, aten_add_tensor_8) {} 2025-06-05T19:08:20.3129140Z call_function aten_convolution_default_22 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_9, p_body_10_body_0_weight, p_body_10_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3130490Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_22,) {} 2025-06-05T19:08:20.3131820Z call_function aten_convolution_default_23 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_10, p_body_10_body_2_weight, p_body_10_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3133310Z call_function aten_mul_tensor_11 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_23, _lifted_tensor_constant11) {} 2025-06-05T19:08:20.3134440Z call_function aten_add_tensor_10 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_11, aten_add_tensor_9) {} 2025-06-05T19:08:20.3135850Z call_function aten_convolution_default_24 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_10, p_body_11_body_0_weight, p_body_11_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3137180Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_24,) {} 2025-06-05T19:08:20.3138520Z call_function aten_convolution_default_25 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_11, p_body_11_body_2_weight, p_body_11_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3139930Z call_function aten_mul_tensor_12 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_25, _lifted_tensor_constant12) {} 2025-06-05T19:08:20.3141050Z call_function aten_add_tensor_11 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_12, aten_add_tensor_10) {} 2025-06-05T19:08:20.3142480Z call_function aten_convolution_default_26 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_11, p_body_12_body_0_weight, p_body_12_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3143810Z call_function aten_relu_default_12 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_26,) {} 2025-06-05T19:08:20.3145150Z call_function aten_convolution_default_27 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_12, p_body_12_body_2_weight, p_body_12_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3146680Z call_function aten_mul_tensor_13 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_27, _lifted_tensor_constant13) {} 2025-06-05T19:08:20.3147790Z call_function aten_add_tensor_12 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_13, aten_add_tensor_11) {} 2025-06-05T19:08:20.3149210Z call_function aten_convolution_default_28 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_12, p_body_13_body_0_weight, p_body_13_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3150530Z call_function aten_relu_default_13 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_28,) {} 2025-06-05T19:08:20.3151860Z call_function aten_convolution_default_29 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_13, p_body_13_body_2_weight, p_body_13_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3153260Z call_function aten_mul_tensor_14 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_29, _lifted_tensor_constant14) {} 2025-06-05T19:08:20.3154380Z call_function aten_add_tensor_13 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_14, aten_add_tensor_12) {} 2025-06-05T19:08:20.3155790Z call_function aten_convolution_default_30 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_13, p_body_14_body_0_weight, p_body_14_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3157300Z call_function aten_relu_default_14 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_30,) {} 2025-06-05T19:08:20.3158740Z call_function aten_convolution_default_31 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_14, p_body_14_body_2_weight, p_body_14_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3160210Z call_function aten_mul_tensor_15 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_31, _lifted_tensor_constant15) {} 2025-06-05T19:08:20.3161290Z call_function aten_add_tensor_14 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_15, aten_add_tensor_13) {} 2025-06-05T19:08:20.3162710Z call_function aten_convolution_default_32 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_14, p_body_15_body_0_weight, p_body_15_body_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3164050Z call_function aten_relu_default_15 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_32,) {} 2025-06-05T19:08:20.3165380Z call_function aten_convolution_default_33 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_15, p_body_15_body_2_weight, p_body_15_body_2_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3166830Z call_function aten_mul_tensor_16 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_33, _lifted_tensor_constant16) {} 2025-06-05T19:08:20.3167910Z call_function aten_add_tensor_15 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_16, aten_add_tensor_14) {} 2025-06-05T19:08:20.3169290Z call_function aten_convolution_default_34 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_15, p_body_16_weight, p_body_16_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3170740Z call_function aten_add_tensor_16 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_convolution_default_34, aten_convolution_default_1) {} 2025-06-05T19:08:20.3172240Z call_function aten_convolution_default_35 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_add_tensor_16, p_tail_0_0_weight, p_tail_0_0_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3173630Z call_function aten_view_copy_default : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_convolution_default_35, [1, 64, 2, 2, 224, 224]) {} 2025-06-05T19:08:20.3174690Z call_function aten_permute_copy_default : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default, [0, 1, 4, 2, 5, 3]) {} 2025-06-05T19:08:20.3175790Z call_function aten_clone_default : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default,) {'memory_format': torch.contiguous_format} 2025-06-05T19:08:20.3176880Z call_function aten_view_copy_default_1 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default, [1, 64, 448, 448]) {} 2025-06-05T19:08:20.3177950Z call_function aten_clone_default_1 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_1,) {'memory_format': torch.contiguous_format} 2025-06-05T19:08:20.3179400Z call_function aten_convolution_default_36 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_clone_default_1, p_tail_1_weight, p_tail_1_bias, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3181130Z call_function aten_convolution_default_37 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_convolution_default_36, p_add_mean_weight, p_add_mean_bias, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) {} 2025-06-05T19:08:20.3182560Z call_function aten_div_tensor : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_convolution_default_37, aten__to_copy_default_1) {} 2025-06-05T19:08:20.3183540Z output output output ([aten_div_tensor],) {}[DEBUG 2025-06-05 19:08:20,296 node_visitor.py:97] Serializing: x, data type: torch.float32, dims: [1, 3, 224, 224] 2025-06-05T19:08:20.3184210Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten__to_copy_default, aten._to_copy.default 2025-06-05T19:08:20.3184700Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: _lifted_tensor_constant0, data type: torch.int64, dims: [] 2025-06-05T19:08:20.3185170Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten__to_copy_default_1, aten._to_copy.default 2025-06-05T19:08:20.3185650Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: _lifted_tensor_constant17, data type: torch.int64, dims: [] 2025-06-05T19:08:20.3186110Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten_mul_tensor, aten.mul.Tensor 2025-06-05T19:08:20.3186570Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: aten_mul_tensor, data type: torch.float32, dims: [1, 3, 224, 224] 2025-06-05T19:08:20.3187070Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten_convolution_default, aten.convolution.default 2025-06-05T19:08:20.3187560Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: p_sub_mean_weight, data type: torch.float32, dims: [3, 3, 1, 1] 2025-06-05T19:08:20.3188060Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: p_sub_mean_bias, data type: torch.float32, dims: [3] 2025-06-05T19:08:20.3188610Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: aten_convolution_default, data type: torch.float32, dims: [1, 3, 224, 224] 2025-06-05T19:08:20.3189140Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten_convolution_default_1, aten.convolution.default 2025-06-05T19:08:20.3189630Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: p_head_0_weight, data type: torch.float32, dims: [64, 3, 3, 3] 2025-06-05T19:08:20.3190120Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: p_head_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3190650Z [DEBUG 2025-06-05 19:08:20,297 node_visitor.py:97] Serializing: aten_convolution_default_1, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3191180Z [INFO 2025-06-05 19:08:20,297 mps_preprocess.py:193] Visiting: aten_convolution_default_2, aten.convolution.default 2025-06-05T19:08:20.3191710Z [DEBUG 2025-06-05 19:08:20,298 node_visitor.py:97] Serializing: p_body_0_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3192230Z [DEBUG 2025-06-05 19:08:20,298 node_visitor.py:97] Serializing: p_body_0_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3192770Z [DEBUG 2025-06-05 19:08:20,298 node_visitor.py:97] Serializing: aten_convolution_default_2, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3193270Z [INFO 2025-06-05 19:08:20,298 mps_preprocess.py:193] Visiting: aten_relu_default, aten.relu.default 2025-06-05T19:08:20.3193740Z [DEBUG 2025-06-05 19:08:20,298 node_visitor.py:97] Serializing: aten_relu_default, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3194290Z [INFO 2025-06-05 19:08:20,298 mps_preprocess.py:193] Visiting: aten_convolution_default_3, aten.convolution.default 2025-06-05T19:08:20.3194800Z [DEBUG 2025-06-05 19:08:20,298 node_visitor.py:97] Serializing: p_body_0_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3195310Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: p_body_0_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3195840Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_convolution_default_3, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3196410Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_mul_tensor_1, aten.mul.Tensor 2025-06-05T19:08:20.3196890Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: _lifted_tensor_constant1, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3197410Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_mul_tensor_1, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3197870Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_add_tensor, aten.add.Tensor 2025-06-05T19:08:20.3198330Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_add_tensor, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3198830Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_convolution_default_4, aten.convolution.default 2025-06-05T19:08:20.3199340Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: p_body_1_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3199850Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: p_body_1_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3200420Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_convolution_default_4, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3200930Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_relu_default_1, aten.relu.default 2025-06-05T19:08:20.3201410Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_relu_default_1, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3201920Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_convolution_default_5, aten.convolution.default 2025-06-05T19:08:20.3202420Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: p_body_1_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3202940Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: p_body_1_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3203470Z [DEBUG 2025-06-05 19:08:20,299 node_visitor.py:97] Serializing: aten_convolution_default_5, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3203960Z [INFO 2025-06-05 19:08:20,299 mps_preprocess.py:193] Visiting: aten_mul_tensor_2, aten.mul.Tensor 2025-06-05T19:08:20.3204410Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: _lifted_tensor_constant2, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3204930Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_mul_tensor_2, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3205430Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_add_tensor_1, aten.add.Tensor 2025-06-05T19:08:20.3205880Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_add_tensor_1, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3206370Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_convolution_default_6, aten.convolution.default 2025-06-05T19:08:20.3206860Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: p_body_2_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3207360Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: p_body_2_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3207910Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_convolution_default_6, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3208410Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_relu_default_2, aten.relu.default 2025-06-05T19:08:20.3208890Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_relu_default_2, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3209390Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_convolution_default_7, aten.convolution.default 2025-06-05T19:08:20.3209990Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: p_body_2_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3210500Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: p_body_2_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3211040Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_convolution_default_7, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3211520Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_mul_tensor_3, aten.mul.Tensor 2025-06-05T19:08:20.3211980Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: _lifted_tensor_constant3, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3212500Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_mul_tensor_3, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3212960Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_add_tensor_2, aten.add.Tensor 2025-06-05T19:08:20.3213420Z [DEBUG 2025-06-05 19:08:20,300 node_visitor.py:97] Serializing: aten_add_tensor_2, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3213920Z [INFO 2025-06-05 19:08:20,300 mps_preprocess.py:193] Visiting: aten_convolution_default_8, aten.convolution.default 2025-06-05T19:08:20.3214440Z [DEBUG 2025-06-05 19:08:20,301 node_visitor.py:97] Serializing: p_body_3_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3214950Z [DEBUG 2025-06-05 19:08:20,301 node_visitor.py:97] Serializing: p_body_3_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3215480Z [DEBUG 2025-06-05 19:08:20,301 node_visitor.py:97] Serializing: aten_convolution_default_8, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3215980Z [INFO 2025-06-05 19:08:20,301 mps_preprocess.py:193] Visiting: aten_relu_default_3, aten.relu.default 2025-06-05T19:08:20.3216460Z [DEBUG 2025-06-05 19:08:20,301 node_visitor.py:97] Serializing: aten_relu_default_3, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3216970Z [INFO 2025-06-05 19:08:20,301 mps_preprocess.py:193] Visiting: aten_convolution_default_9, aten.convolution.default 2025-06-05T19:08:20.3217480Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: p_body_3_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3217990Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: p_body_3_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3218550Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: aten_convolution_default_9, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3219050Z [INFO 2025-06-05 19:08:20,302 mps_preprocess.py:193] Visiting: aten_mul_tensor_4, aten.mul.Tensor 2025-06-05T19:08:20.3219500Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: _lifted_tensor_constant4, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3220020Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: aten_mul_tensor_4, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3220470Z [INFO 2025-06-05 19:08:20,302 mps_preprocess.py:193] Visiting: aten_add_tensor_3, aten.add.Tensor 2025-06-05T19:08:20.3220930Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: aten_add_tensor_3, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3221470Z [INFO 2025-06-05 19:08:20,302 mps_preprocess.py:193] Visiting: aten_convolution_default_10, aten.convolution.default 2025-06-05T19:08:20.3221980Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: p_body_4_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3222490Z [DEBUG 2025-06-05 19:08:20,302 node_visitor.py:97] Serializing: p_body_4_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3223020Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: aten_convolution_default_10, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3223600Z [INFO 2025-06-05 19:08:20,303 mps_preprocess.py:193] Visiting: aten_relu_default_4, aten.relu.default 2025-06-05T19:08:20.3224080Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: aten_relu_default_4, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3224600Z [INFO 2025-06-05 19:08:20,303 mps_preprocess.py:193] Visiting: aten_convolution_default_11, aten.convolution.default 2025-06-05T19:08:20.3225100Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: p_body_4_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3225620Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: p_body_4_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3226150Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: aten_convolution_default_11, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3226640Z [INFO 2025-06-05 19:08:20,303 mps_preprocess.py:193] Visiting: aten_mul_tensor_5, aten.mul.Tensor 2025-06-05T19:08:20.3227090Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: _lifted_tensor_constant5, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3227610Z [DEBUG 2025-06-05 19:08:20,303 node_visitor.py:97] Serializing: aten_mul_tensor_5, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3228070Z [INFO 2025-06-05 19:08:20,303 mps_preprocess.py:193] Visiting: aten_add_tensor_4, aten.add.Tensor 2025-06-05T19:08:20.3228540Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_add_tensor_4, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3229040Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: aten_convolution_default_12, aten.convolution.default 2025-06-05T19:08:20.3229550Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: p_body_5_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3230060Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: p_body_5_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3230600Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_convolution_default_12, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3231090Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: aten_relu_default_5, aten.relu.default 2025-06-05T19:08:20.3231570Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_relu_default_5, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3232110Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: aten_convolution_default_13, aten.convolution.default 2025-06-05T19:08:20.3232620Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: p_body_5_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3233130Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: p_body_5_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3233670Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_convolution_default_13, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3234160Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: aten_mul_tensor_6, aten.mul.Tensor 2025-06-05T19:08:20.3234640Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: _lifted_tensor_constant6, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3235160Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_mul_tensor_6, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3235620Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: aten_add_tensor_5, aten.add.Tensor 2025-06-05T19:08:20.3236080Z [DEBUG 2025-06-05 19:08:20,304 node_visitor.py:97] Serializing: aten_add_tensor_5, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3236580Z [INFO 2025-06-05 19:08:20,304 mps_preprocess.py:193] Visiting: 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2025-06-05T19:08:20.3240230Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_6_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3240740Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_6_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3241280Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_convolution_default_15, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3241770Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_mul_tensor_7, aten.mul.Tensor 2025-06-05T19:08:20.3242220Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: _lifted_tensor_constant7, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3242740Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_mul_tensor_7, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3243200Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_add_tensor_6, aten.add.Tensor 2025-06-05T19:08:20.3243660Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_add_tensor_6, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3244160Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_convolution_default_16, aten.convolution.default 2025-06-05T19:08:20.3244670Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_7_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3245180Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_7_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3245730Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_convolution_default_16, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3246230Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_relu_default_7, aten.relu.default 2025-06-05T19:08:20.3246710Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_relu_default_7, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3247220Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_convolution_default_17, aten.convolution.default 2025-06-05T19:08:20.3247740Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_7_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3248280Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: p_body_7_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3248810Z [DEBUG 2025-06-05 19:08:20,305 node_visitor.py:97] Serializing: aten_convolution_default_17, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3249300Z [INFO 2025-06-05 19:08:20,305 mps_preprocess.py:193] Visiting: aten_mul_tensor_8, aten.mul.Tensor 2025-06-05T19:08:20.3249750Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: _lifted_tensor_constant8, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3250300Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: aten_mul_tensor_8, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3250800Z [INFO 2025-06-05 19:08:20,306 mps_preprocess.py:193] Visiting: aten_add_tensor_7, aten.add.Tensor 2025-06-05T19:08:20.3251260Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: aten_add_tensor_7, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3251770Z [INFO 2025-06-05 19:08:20,306 mps_preprocess.py:193] Visiting: aten_convolution_default_18, aten.convolution.default 2025-06-05T19:08:20.3252270Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: p_body_8_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3252790Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: p_body_8_body_0_bias, data type: torch.float32, 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node_visitor.py:97] Serializing: aten_convolution_default_19, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3256860Z [INFO 2025-06-05 19:08:20,306 mps_preprocess.py:193] Visiting: aten_mul_tensor_9, aten.mul.Tensor 2025-06-05T19:08:20.3257330Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: _lifted_tensor_constant9, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3257850Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: aten_mul_tensor_9, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3258310Z [INFO 2025-06-05 19:08:20,306 mps_preprocess.py:193] Visiting: aten_add_tensor_8, aten.add.Tensor 2025-06-05T19:08:20.3258770Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: aten_add_tensor_8, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3259310Z [INFO 2025-06-05 19:08:20,306 mps_preprocess.py:193] Visiting: aten_convolution_default_20, aten.convolution.default 2025-06-05T19:08:20.3259830Z [DEBUG 2025-06-05 19:08:20,306 node_visitor.py:97] Serializing: p_body_9_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3260340Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: p_body_9_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3260880Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_convolution_default_20, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3261380Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_relu_default_9, aten.relu.default 2025-06-05T19:08:20.3261890Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_relu_default_9, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3262400Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_convolution_default_21, aten.convolution.default 2025-06-05T19:08:20.3262910Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: p_body_9_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3263430Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: p_body_9_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3264040Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_convolution_default_21, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3264530Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_mul_tensor_10, aten.mul.Tensor 2025-06-05T19:08:20.3265030Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: _lifted_tensor_constant10, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3265570Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_mul_tensor_10, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3266040Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_add_tensor_9, aten.add.Tensor 2025-06-05T19:08:20.3266530Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_add_tensor_9, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3267090Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_convolution_default_22, aten.convolution.default 2025-06-05T19:08:20.3267630Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: p_body_10_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3268160Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: p_body_10_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3268710Z [DEBUG 2025-06-05 19:08:20,307 node_visitor.py:97] Serializing: aten_convolution_default_22, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3269240Z [INFO 2025-06-05 19:08:20,307 mps_preprocess.py:193] Visiting: aten_relu_default_10, aten.relu.default 2025-06-05T19:08:20.3269730Z [DEBUG 2025-06-05 19:08:20,307 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19:08:20,308 node_visitor.py:97] Serializing: aten_convolution_default_24, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3282410Z [INFO 2025-06-05 19:08:20,308 mps_preprocess.py:193] Visiting: aten_relu_default_11, aten.relu.default 2025-06-05T19:08:20.3282890Z [DEBUG 2025-06-05 19:08:20,308 node_visitor.py:97] Serializing: aten_relu_default_11, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3283480Z [INFO 2025-06-05 19:08:20,308 mps_preprocess.py:193] Visiting: aten_convolution_default_25, aten.convolution.default 2025-06-05T19:08:20.3284000Z [DEBUG 2025-06-05 19:08:20,308 node_visitor.py:97] Serializing: p_body_11_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3284520Z [DEBUG 2025-06-05 19:08:20,308 node_visitor.py:97] Serializing: p_body_11_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3285050Z [DEBUG 2025-06-05 19:08:20,308 node_visitor.py:97] Serializing: 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2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_12_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3288990Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_12_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3289520Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_convolution_default_26, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3290030Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_relu_default_12, aten.relu.default 2025-06-05T19:08:20.3290510Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_relu_default_12, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3291020Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_convolution_default_27, aten.convolution.default 2025-06-05T19:08:20.3291530Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_12_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3292070Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_12_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3292610Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_convolution_default_27, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3293100Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_mul_tensor_13, aten.mul.Tensor 2025-06-05T19:08:20.3293560Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: _lifted_tensor_constant13, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3294080Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_mul_tensor_13, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3294580Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_add_tensor_12, aten.add.Tensor 2025-06-05T19:08:20.3295040Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_add_tensor_12, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3295540Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_convolution_default_28, aten.convolution.default 2025-06-05T19:08:20.3296050Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_13_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3296600Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_13_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3297190Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_convolution_default_28, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3297690Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_relu_default_13, aten.relu.default 2025-06-05T19:08:20.3298170Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: aten_relu_default_13, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3298680Z [INFO 2025-06-05 19:08:20,309 mps_preprocess.py:193] Visiting: aten_convolution_default_29, aten.convolution.default 2025-06-05T19:08:20.3299180Z [DEBUG 2025-06-05 19:08:20,309 node_visitor.py:97] Serializing: p_body_13_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3299700Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: p_body_13_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3300240Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_convolution_default_29, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3300730Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_mul_tensor_14, aten.mul.Tensor 2025-06-05T19:08:20.3301190Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: _lifted_tensor_constant14, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3301710Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_mul_tensor_14, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3302180Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_add_tensor_13, aten.add.Tensor 2025-06-05T19:08:20.3302640Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_add_tensor_13, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3303140Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_convolution_default_30, aten.convolution.default 2025-06-05T19:08:20.3303660Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: p_body_14_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3304170Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: p_body_14_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3304710Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_convolution_default_30, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3305210Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_relu_default_14, aten.relu.default 2025-06-05T19:08:20.3305770Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_relu_default_14, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3306290Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_convolution_default_31, aten.convolution.default 2025-06-05T19:08:20.3306800Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: p_body_14_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3307310Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: p_body_14_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3307850Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_convolution_default_31, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3308360Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_mul_tensor_15, aten.mul.Tensor 2025-06-05T19:08:20.3308820Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: _lifted_tensor_constant15, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3309340Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_mul_tensor_15, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3309800Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_add_tensor_14, aten.add.Tensor 2025-06-05T19:08:20.3310300Z [DEBUG 2025-06-05 19:08:20,310 node_visitor.py:97] Serializing: aten_add_tensor_14, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3310850Z [INFO 2025-06-05 19:08:20,310 mps_preprocess.py:193] Visiting: aten_convolution_default_32, aten.convolution.default 2025-06-05T19:08:20.3311350Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_15_body_0_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3311870Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_15_body_0_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3312410Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_convolution_default_32, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3312910Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_relu_default_15, aten.relu.default 2025-06-05T19:08:20.3313380Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_relu_default_15, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3313900Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_convolution_default_33, aten.convolution.default 2025-06-05T19:08:20.3314400Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_15_body_2_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3314920Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_15_body_2_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3315450Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_convolution_default_33, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3315940Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_mul_tensor_16, aten.mul.Tensor 2025-06-05T19:08:20.3316400Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: _lifted_tensor_constant16, data type: torch.float32, dims: [] 2025-06-05T19:08:20.3316920Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_mul_tensor_16, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3317390Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_add_tensor_15, aten.add.Tensor 2025-06-05T19:08:20.3317850Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_add_tensor_15, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3318360Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_convolution_default_34, aten.convolution.default 2025-06-05T19:08:20.3318890Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_16_weight, data type: torch.float32, dims: [64, 64, 3, 3] 2025-06-05T19:08:20.3319390Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: p_body_16_bias, data type: torch.float32, dims: [64] 2025-06-05T19:08:20.3319910Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_convolution_default_34, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3320410Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_add_tensor_16, aten.add.Tensor 2025-06-05T19:08:20.3320870Z [DEBUG 2025-06-05 19:08:20,311 node_visitor.py:97] Serializing: aten_add_tensor_16, data type: torch.float32, dims: [1, 64, 224, 224] 2025-06-05T19:08:20.3321380Z [INFO 2025-06-05 19:08:20,311 mps_preprocess.py:193] Visiting: aten_convolution_default_35, aten.convolution.default 2025-06-05T19:08:20.3321910Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_tail_0_0_weight, data type: torch.float32, dims: [256, 64, 3, 3] 2025-06-05T19:08:20.3322410Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_tail_0_0_bias, data type: torch.float32, dims: [256] 2025-06-05T19:08:20.3322940Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_convolution_default_35, data type: torch.float32, dims: [1, 256, 224, 224] 2025-06-05T19:08:20.3323450Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_view_copy_default, aten.view_copy.default 2025-06-05T19:08:20.3324050Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_view_copy_default, data type: torch.float32, dims: [1, 64, 2, 2, 224, 224] 2025-06-05T19:08:20.3324580Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_permute_copy_default, aten.permute_copy.default 2025-06-05T19:08:20.3325120Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_permute_copy_default, data type: torch.float32, dims: [1, 64, 224, 2, 224, 2] 2025-06-05T19:08:20.3325620Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_clone_default, aten.clone.default 2025-06-05T19:08:20.3326060Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_view_copy_default_1, aten.view_copy.default 2025-06-05T19:08:20.3326570Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_view_copy_default_1, data type: torch.float32, dims: [1, 64, 448, 448] 2025-06-05T19:08:20.3327060Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_clone_default_1, aten.clone.default 2025-06-05T19:08:20.3327510Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_convolution_default_36, aten.convolution.default 2025-06-05T19:08:20.3328010Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_tail_1_weight, data type: torch.float32, dims: [3, 64, 3, 3] 2025-06-05T19:08:20.3328490Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_tail_1_bias, data type: torch.float32, dims: [3] 2025-06-05T19:08:20.3329000Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_convolution_default_36, data type: torch.float32, dims: [1, 3, 448, 448] 2025-06-05T19:08:20.3329530Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_convolution_default_37, aten.convolution.default 2025-06-05T19:08:20.3330030Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_add_mean_weight, data type: torch.float32, dims: [3, 3, 1, 1] 2025-06-05T19:08:20.3330520Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: p_add_mean_bias, data type: torch.float32, dims: [3] 2025-06-05T19:08:20.3331040Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_convolution_default_37, data type: torch.float32, dims: [1, 3, 448, 448] 2025-06-05T19:08:20.3331520Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:193] Visiting: aten_div_tensor, aten.div.Tensor 2025-06-05T19:08:20.3331980Z [DEBUG 2025-06-05 19:08:20,312 node_visitor.py:97] Serializing: aten_div_tensor, data type: torch.float32, dims: [1, 3, 448, 448] 2025-06-05T19:08:20.3332390Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:08:20.3332700Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:285] Version: 0 2025-06-05T19:08:20.3332970Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:08:20.3333470Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSCast(input1_id=0, output_id=0, dtype=), min_max=None) 2025-06-05T19:08:20.3334120Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSMul(input1_id=0, input2_id=1, output_id=3), min_max=None) 2025-06-05T19:08:20.3334970Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSConv2D(input1_id=3, input2_id=4, input3_id=5, output_id=6, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:08:20.3336130Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSConv2D(input1_id=6, input2_id=7, input3_id=8, output_id=9, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3337300Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSConv2D(input1_id=9, input2_id=10, input3_id=11, output_id=12, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3338160Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSReLU(input1_id=12, output_id=13), min_max=None) 2025-06-05T19:08:20.3338990Z [INFO 2025-06-05 19:08:20,312 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSConv2D(input1_id=13, input2_id=14, input3_id=15, output_id=16, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3339840Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSMul(input1_id=16, input2_id=17, output_id=18), min_max=None) 2025-06-05T19:08:20.3340430Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSAdd(input1_id=18, input2_id=9, output_id=19, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3341300Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSConv2D(input1_id=19, input2_id=20, input3_id=21, output_id=22, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3342130Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSReLU(input1_id=22, output_id=23), min_max=None) 2025-06-05T19:08:20.3342970Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSConv2D(input1_id=23, input2_id=24, input3_id=25, output_id=26, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3343820Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSMul(input1_id=26, input2_id=27, output_id=28), min_max=None) 2025-06-05T19:08:20.3344410Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSAdd(input1_id=28, input2_id=19, output_id=29, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3345290Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSConv2D(input1_id=29, input2_id=30, input3_id=31, output_id=32, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3346120Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSReLU(input1_id=32, output_id=33), min_max=None) 2025-06-05T19:08:20.3346980Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSConv2D(input1_id=33, input2_id=34, input3_id=35, output_id=36, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3347830Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSMul(input1_id=36, input2_id=37, output_id=38), min_max=None) 2025-06-05T19:08:20.3348430Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSAdd(input1_id=38, input2_id=29, output_id=39, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3349300Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSConv2D(input1_id=39, input2_id=40, input3_id=41, output_id=42, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3350160Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSReLU(input1_id=42, output_id=43), min_max=None) 2025-06-05T19:08:20.3350990Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSConv2D(input1_id=43, input2_id=44, input3_id=45, output_id=46, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3351930Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSMul(input1_id=46, input2_id=47, output_id=48), min_max=None) 2025-06-05T19:08:20.3352520Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSAdd(input1_id=48, input2_id=39, output_id=49, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3353400Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSConv2D(input1_id=49, input2_id=50, input3_id=51, output_id=52, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3354230Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSReLU(input1_id=52, output_id=53), min_max=None) 2025-06-05T19:08:20.3355050Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSConv2D(input1_id=53, input2_id=54, input3_id=55, output_id=56, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3355910Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [27]: MPSNode(mpsnode_union=MPSMul(input1_id=56, input2_id=57, output_id=58), min_max=None) 2025-06-05T19:08:20.3356500Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [28]: MPSNode(mpsnode_union=MPSAdd(input1_id=58, input2_id=49, output_id=59, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3357390Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [29]: MPSNode(mpsnode_union=MPSConv2D(input1_id=59, input2_id=60, input3_id=61, output_id=62, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3358220Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [30]: MPSNode(mpsnode_union=MPSReLU(input1_id=62, output_id=63), min_max=None) 2025-06-05T19:08:20.3359050Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [31]: MPSNode(mpsnode_union=MPSConv2D(input1_id=63, input2_id=64, input3_id=65, output_id=66, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3359900Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [32]: MPSNode(mpsnode_union=MPSMul(input1_id=66, input2_id=67, output_id=68), min_max=None) 2025-06-05T19:08:20.3360510Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [33]: MPSNode(mpsnode_union=MPSAdd(input1_id=68, input2_id=59, output_id=69, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3361390Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [34]: MPSNode(mpsnode_union=MPSConv2D(input1_id=69, input2_id=70, input3_id=71, output_id=72, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3362220Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [35]: MPSNode(mpsnode_union=MPSReLU(input1_id=72, output_id=73), min_max=None) 2025-06-05T19:08:20.3363050Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [36]: MPSNode(mpsnode_union=MPSConv2D(input1_id=73, input2_id=74, input3_id=75, output_id=76, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3363930Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [37]: MPSNode(mpsnode_union=MPSMul(input1_id=76, input2_id=77, output_id=78), min_max=None) 2025-06-05T19:08:20.3364520Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [38]: MPSNode(mpsnode_union=MPSAdd(input1_id=78, input2_id=69, output_id=79, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3365420Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [39]: MPSNode(mpsnode_union=MPSConv2D(input1_id=79, input2_id=80, input3_id=81, output_id=82, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3366280Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [40]: MPSNode(mpsnode_union=MPSReLU(input1_id=82, output_id=83), min_max=None) 2025-06-05T19:08:20.3367110Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [41]: MPSNode(mpsnode_union=MPSConv2D(input1_id=83, input2_id=84, input3_id=85, output_id=86, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3367960Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [42]: MPSNode(mpsnode_union=MPSMul(input1_id=86, input2_id=87, output_id=88), min_max=None) 2025-06-05T19:08:20.3368550Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [43]: MPSNode(mpsnode_union=MPSAdd(input1_id=88, input2_id=79, output_id=89, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3369430Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [44]: MPSNode(mpsnode_union=MPSConv2D(input1_id=89, input2_id=90, input3_id=91, output_id=92, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3370260Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [45]: MPSNode(mpsnode_union=MPSReLU(input1_id=92, output_id=93), min_max=None) 2025-06-05T19:08:20.3371100Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [46]: MPSNode(mpsnode_union=MPSConv2D(input1_id=93, input2_id=94, input3_id=95, output_id=96, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3371940Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [47]: MPSNode(mpsnode_union=MPSMul(input1_id=96, input2_id=97, output_id=98), min_max=None) 2025-06-05T19:08:20.3372540Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [48]: MPSNode(mpsnode_union=MPSAdd(input1_id=98, input2_id=89, output_id=99, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3373420Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [49]: MPSNode(mpsnode_union=MPSConv2D(input1_id=99, input2_id=100, input3_id=101, output_id=102, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3374260Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [50]: MPSNode(mpsnode_union=MPSReLU(input1_id=102, output_id=103), min_max=None) 2025-06-05T19:08:20.3375150Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [51]: MPSNode(mpsnode_union=MPSConv2D(input1_id=103, input2_id=104, input3_id=105, output_id=106, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3376030Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [52]: MPSNode(mpsnode_union=MPSMul(input1_id=106, input2_id=107, output_id=108), min_max=None) 2025-06-05T19:08:20.3376630Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [53]: MPSNode(mpsnode_union=MPSAdd(input1_id=108, input2_id=99, output_id=109, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3377520Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [54]: MPSNode(mpsnode_union=MPSConv2D(input1_id=109, input2_id=110, input3_id=111, output_id=112, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3378410Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [55]: MPSNode(mpsnode_union=MPSReLU(input1_id=112, output_id=113), min_max=None) 2025-06-05T19:08:20.3379290Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [56]: MPSNode(mpsnode_union=MPSConv2D(input1_id=113, input2_id=114, input3_id=115, output_id=116, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3380200Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [57]: MPSNode(mpsnode_union=MPSMul(input1_id=116, input2_id=117, output_id=118), min_max=None) 2025-06-05T19:08:20.3380810Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [58]: MPSNode(mpsnode_union=MPSAdd(input1_id=118, input2_id=109, output_id=119, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3381710Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [59]: MPSNode(mpsnode_union=MPSConv2D(input1_id=119, input2_id=120, input3_id=121, output_id=122, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3382550Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [60]: MPSNode(mpsnode_union=MPSReLU(input1_id=122, output_id=123), min_max=None) 2025-06-05T19:08:20.3383390Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [61]: MPSNode(mpsnode_union=MPSConv2D(input1_id=123, input2_id=124, input3_id=125, output_id=126, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3384260Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [62]: MPSNode(mpsnode_union=MPSMul(input1_id=126, input2_id=127, output_id=128), min_max=None) 2025-06-05T19:08:20.3384860Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [63]: MPSNode(mpsnode_union=MPSAdd(input1_id=128, input2_id=119, output_id=129, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3385760Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [64]: MPSNode(mpsnode_union=MPSConv2D(input1_id=129, input2_id=130, input3_id=131, output_id=132, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3386600Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [65]: MPSNode(mpsnode_union=MPSReLU(input1_id=132, output_id=133), min_max=None) 2025-06-05T19:08:20.3387450Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [66]: MPSNode(mpsnode_union=MPSConv2D(input1_id=133, input2_id=134, input3_id=135, output_id=136, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3388320Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [67]: MPSNode(mpsnode_union=MPSMul(input1_id=136, input2_id=137, output_id=138), min_max=None) 2025-06-05T19:08:20.3388950Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [68]: MPSNode(mpsnode_union=MPSAdd(input1_id=138, input2_id=129, output_id=139, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3389840Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [69]: MPSNode(mpsnode_union=MPSConv2D(input1_id=139, input2_id=140, input3_id=141, output_id=142, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3390690Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [70]: MPSNode(mpsnode_union=MPSReLU(input1_id=142, output_id=143), min_max=None) 2025-06-05T19:08:20.3391540Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [71]: MPSNode(mpsnode_union=MPSConv2D(input1_id=143, input2_id=144, input3_id=145, output_id=146, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3392430Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [72]: MPSNode(mpsnode_union=MPSMul(input1_id=146, input2_id=147, output_id=148), min_max=None) 2025-06-05T19:08:20.3393040Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [73]: MPSNode(mpsnode_union=MPSAdd(input1_id=148, input2_id=139, output_id=149, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3393960Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [74]: MPSNode(mpsnode_union=MPSConv2D(input1_id=149, input2_id=150, input3_id=151, output_id=152, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3394830Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [75]: MPSNode(mpsnode_union=MPSReLU(input1_id=152, output_id=153), min_max=None) 2025-06-05T19:08:20.3395680Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [76]: MPSNode(mpsnode_union=MPSConv2D(input1_id=153, input2_id=154, input3_id=155, output_id=156, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3396550Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [77]: MPSNode(mpsnode_union=MPSMul(input1_id=156, input2_id=157, output_id=158), min_max=None) 2025-06-05T19:08:20.3397150Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [78]: MPSNode(mpsnode_union=MPSAdd(input1_id=158, input2_id=149, output_id=159, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3398050Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [79]: MPSNode(mpsnode_union=MPSConv2D(input1_id=159, input2_id=160, input3_id=161, output_id=162, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3398890Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [80]: MPSNode(mpsnode_union=MPSReLU(input1_id=162, output_id=163), min_max=None) 2025-06-05T19:08:20.3399730Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [81]: MPSNode(mpsnode_union=MPSConv2D(input1_id=163, input2_id=164, input3_id=165, output_id=166, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3400600Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [82]: MPSNode(mpsnode_union=MPSMul(input1_id=166, input2_id=167, output_id=168), min_max=None) 2025-06-05T19:08:20.3401210Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [83]: MPSNode(mpsnode_union=MPSAdd(input1_id=168, input2_id=159, output_id=169, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3402100Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [84]: MPSNode(mpsnode_union=MPSConv2D(input1_id=169, input2_id=170, input3_id=171, output_id=172, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3403010Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [85]: MPSNode(mpsnode_union=MPSAdd(input1_id=172, input2_id=9, output_id=173, alpha=1.0), min_max=None) 2025-06-05T19:08:20.3403910Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [86]: MPSNode(mpsnode_union=MPSConv2D(input1_id=173, input2_id=174, input3_id=175, output_id=176, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3404830Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [87]: MPSNode(mpsnode_union=MPSView(input1_id=176, output_id=177, num_dims=6, shape=[1, 64, 2, 2, 224, 224]), min_max=None) 2025-06-05T19:08:20.3405530Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [88]: MPSNode(mpsnode_union=MPSPermute(input1_id=177, output_id=178, num_dims=6, perm=[0, 1, 4, 2, 5, 3]), min_max=None) 2025-06-05T19:08:20.3406240Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [89]: MPSNode(mpsnode_union=MPSView(input1_id=178, output_id=179, num_dims=4, shape=[1, 64, 448, 448]), min_max=None) 2025-06-05T19:08:20.3407190Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [90]: MPSNode(mpsnode_union=MPSConv2D(input1_id=179, input2_id=180, input3_id=181, output_id=182, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=1, padding_right=1, padding_top=1, padding_bottom=1), min_max=None) 2025-06-05T19:08:20.3408490Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [91]: MPSNode(mpsnode_union=MPSConv2D(input1_id=182, input2_id=183, input3_id=184, output_id=185, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:08:20.3409480Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [92]: MPSNode(mpsnode_union=MPSDiv(input1_id=185, input2_id=2, output_id=186, rounding_mode=None), min_max=None) 2025-06-05T19:08:20.3410210Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:288] [93]: MPSNode(mpsnode_union=MPSCast(input1_id=186, output_id=186, dtype=), min_max=None) 2025-06-05T19:08:20.3410740Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:289] MPS values: 2025-06-05T19:08:20.3411180Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [0]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3411780Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [1]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=0) 2025-06-05T19:08:20.3412360Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [2]: MPSTensor(datatype=9, num_dims=0, dims=[], constant_buffer_size=8, segment_offset=8) 2025-06-05T19:08:20.3412970Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [3]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3413590Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [4]: MPSTensor(datatype=1, num_dims=4, dims=[3, 3, 1, 1], constant_buffer_size=18, segment_offset=16) 2025-06-05T19:08:20.3414200Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=1, dims=[3], constant_buffer_size=6, segment_offset=34) 2025-06-05T19:08:20.3414820Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [6]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3415460Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [7]: MPSTensor(datatype=1, num_dims=4, dims=[64, 3, 3, 3], constant_buffer_size=3456, segment_offset=40) 2025-06-05T19:08:20.3416080Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [8]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=3496) 2025-06-05T19:08:20.3416710Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [9]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3417380Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [10]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=3624) 2025-06-05T19:08:20.3417980Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [11]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=77352) 2025-06-05T19:08:20.3418580Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [12]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3419190Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [13]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3419850Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [14]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=77480) 2025-06-05T19:08:20.3420490Z [INFO 2025-06-05 19:08:20,313 mps_preprocess.py:291] [15]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=151208) 2025-06-05T19:08:20.3421130Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [16]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3421790Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [17]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=151336) 2025-06-05T19:08:20.3422450Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [18]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3423090Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [19]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3423740Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [20]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=151338) 2025-06-05T19:08:20.3424380Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [21]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=225066) 2025-06-05T19:08:20.3425000Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [22]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3425640Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [23]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3426240Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [24]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=225194) 2025-06-05T19:08:20.3426830Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [25]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=298922) 2025-06-05T19:08:20.3427450Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [26]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3428070Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [27]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=299050) 2025-06-05T19:08:20.3428700Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [28]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3429330Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [29]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3440540Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [30]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=299052) 2025-06-05T19:08:20.3442560Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [31]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=372780) 2025-06-05T19:08:20.3444260Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [32]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3445900Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [33]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3447590Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [34]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=372908) 2025-06-05T19:08:20.3449370Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [35]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=446636) 2025-06-05T19:08:20.3451230Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [36]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3454510Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [37]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=446764) 2025-06-05T19:08:20.3456260Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [38]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3458430Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [39]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3460140Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [40]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=446766) 2025-06-05T19:08:20.3461700Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [41]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=520494) 2025-06-05T19:08:20.3462350Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [42]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3462960Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [43]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3463570Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [44]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=520622) 2025-06-05T19:08:20.3464180Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [45]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=594350) 2025-06-05T19:08:20.3464770Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [46]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3465360Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [47]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=594478) 2025-06-05T19:08:20.3465950Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [48]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3466540Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [49]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3467140Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [50]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=594480) 2025-06-05T19:08:20.3467740Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [51]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=668208) 2025-06-05T19:08:20.3468340Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [52]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3469010Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [53]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3469620Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [54]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=668336) 2025-06-05T19:08:20.3470220Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [55]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=742064) 2025-06-05T19:08:20.3470820Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [56]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3471460Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [57]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=742192) 2025-06-05T19:08:20.3472050Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [58]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3472640Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [59]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3473310Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [60]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=742194) 2025-06-05T19:08:20.3473970Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [61]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=815922) 2025-06-05T19:08:20.3474580Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [62]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3475210Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [63]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3475830Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [64]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=816050) 2025-06-05T19:08:20.3476460Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [65]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=889778) 2025-06-05T19:08:20.3477080Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [66]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3477680Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [67]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=889906) 2025-06-05T19:08:20.3478280Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [68]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3478870Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [69]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3479470Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [70]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=889908) 2025-06-05T19:08:20.3480090Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [71]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=963636) 2025-06-05T19:08:20.3480700Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [72]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3481340Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [73]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3481970Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [74]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=963764) 2025-06-05T19:08:20.3482620Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [75]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1037492) 2025-06-05T19:08:20.3483240Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [76]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3483850Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [77]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1037620) 2025-06-05T19:08:20.3484450Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [78]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3485120Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [79]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3490330Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [80]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1037622) 2025-06-05T19:08:20.3490950Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [81]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1111350) 2025-06-05T19:08:20.3491610Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [82]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3492250Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [83]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3492850Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [84]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1111478) 2025-06-05T19:08:20.3493460Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [85]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1185206) 2025-06-05T19:08:20.3494050Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [86]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3494640Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [87]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1185334) 2025-06-05T19:08:20.3495230Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [88]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3495820Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [89]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3496420Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [90]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1185336) 2025-06-05T19:08:20.3497030Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [91]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1259064) 2025-06-05T19:08:20.3497630Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [92]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3498220Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [93]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3498820Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [94]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1259192) 2025-06-05T19:08:20.3499430Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [95]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1332920) 2025-06-05T19:08:20.3500050Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [96]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3500630Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [97]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1333048) 2025-06-05T19:08:20.3501210Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [98]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3501800Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [99]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3502420Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [100]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1333050) 2025-06-05T19:08:20.3503030Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [101]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1406778) 2025-06-05T19:08:20.3503620Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [102]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3504250Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [103]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3504900Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [104]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1406906) 2025-06-05T19:08:20.3505500Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [105]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1480634) 2025-06-05T19:08:20.3506100Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [106]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3506690Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [107]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1480762) 2025-06-05T19:08:20.3507270Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [108]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3507870Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [109]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3508470Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [110]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1480764) 2025-06-05T19:08:20.3509080Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [111]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1554492) 2025-06-05T19:08:20.3509670Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [112]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3510260Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [113]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3510860Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [114]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1554620) 2025-06-05T19:08:20.3511460Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [115]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1628348) 2025-06-05T19:08:20.3512060Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [116]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3512690Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [117]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1628476) 2025-06-05T19:08:20.3513280Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [118]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3513870Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [119]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3514480Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [120]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1628478) 2025-06-05T19:08:20.3515080Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [121]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1702206) 2025-06-05T19:08:20.3515710Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [122]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3516300Z [INFO 2025-06-05 19:08:20,314 mps_preprocess.py:291] [123]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3516900Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [124]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1702334) 2025-06-05T19:08:20.3517590Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [125]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1776062) 2025-06-05T19:08:20.3518190Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [126]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3518790Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [127]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1776190) 2025-06-05T19:08:20.3519380Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [128]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3519970Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [129]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3520570Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [130]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1776192) 2025-06-05T19:08:20.3521170Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [131]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1849920) 2025-06-05T19:08:20.3521770Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [132]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3522350Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [133]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3522960Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [134]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1850048) 2025-06-05T19:08:20.3523560Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [135]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1923776) 2025-06-05T19:08:20.3524160Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [136]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3524750Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [137]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=1923904) 2025-06-05T19:08:20.3525330Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [138]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3525950Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [139]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3526560Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [140]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1923906) 2025-06-05T19:08:20.3527180Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [141]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=1997634) 2025-06-05T19:08:20.3527770Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [142]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3528390Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [143]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3528990Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [144]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=1997762) 2025-06-05T19:08:20.3529590Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [145]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2071490) 2025-06-05T19:08:20.3530220Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [146]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3530840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [147]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=2071618) 2025-06-05T19:08:20.3531430Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [148]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3532020Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [149]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:20.3532630Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [150]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=2071620) 2025-06-05T19:08:48.1099650Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [151]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2145348) 2025-06-05T19:08:48.1100350Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [152]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1100980Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [153]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1101600Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [154]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=2145476) 2025-06-05T19:08:48.1102220Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [155]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2219204) 2025-06-05T19:08:48.1102810Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [156]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1103400Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [157]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=2219332) 2025-06-05T19:08:48.1103990Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [158]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1104580Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [159]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1105620Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [160]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=2219334) 2025-06-05T19:08:48.1106240Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [161]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2293062) 2025-06-05T19:08:48.1106840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [162]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1107440Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [163]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1108050Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [164]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=2293190) 2025-06-05T19:08:48.1108770Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [165]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2366918) 2025-06-05T19:08:48.1109370Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [166]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1109960Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [167]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=2367046) 2025-06-05T19:08:48.1110760Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [168]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1111340Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [169]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1111940Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [170]: MPSTensor(datatype=1, num_dims=4, dims=[64, 64, 3, 3], constant_buffer_size=73728, segment_offset=2367048) 2025-06-05T19:08:48.1112540Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [171]: MPSTensor(datatype=1, num_dims=1, dims=[64], constant_buffer_size=128, segment_offset=2440776) 2025-06-05T19:08:48.1113130Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [172]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1113730Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [173]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1114350Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [174]: MPSTensor(datatype=1, num_dims=4, dims=[256, 64, 3, 3], constant_buffer_size=294912, segment_offset=2440904) 2025-06-05T19:08:48.1114950Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [175]: MPSTensor(datatype=1, num_dims=1, dims=[256], constant_buffer_size=512, segment_offset=2735816) 2025-06-05T19:08:48.1115560Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [176]: MPSTensor(datatype=2, num_dims=4, dims=[1, 256, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1116150Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [177]: MPSTensor(datatype=2, num_dims=6, dims=[1, 64, 2, 2, 224, 224], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1116750Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [178]: MPSTensor(datatype=2, num_dims=6, dims=[1, 64, 224, 2, 224, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1117350Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [179]: MPSTensor(datatype=2, num_dims=4, dims=[1, 64, 448, 448], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1117950Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [180]: MPSTensor(datatype=1, num_dims=4, dims=[3, 64, 3, 3], constant_buffer_size=3456, segment_offset=2736328) 2025-06-05T19:08:48.1118540Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [181]: MPSTensor(datatype=1, num_dims=1, dims=[3], constant_buffer_size=6, segment_offset=2739784) 2025-06-05T19:08:48.1119250Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [182]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 448, 448], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1119830Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [183]: MPSTensor(datatype=1, num_dims=4, dims=[3, 3, 1, 1], constant_buffer_size=18, segment_offset=2739790) 2025-06-05T19:08:48.1120410Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [184]: MPSTensor(datatype=1, num_dims=1, dims=[3], constant_buffer_size=6, segment_offset=2739808) 2025-06-05T19:08:48.1120990Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [185]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 448, 448], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1121600Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:291] [186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 3, 448, 448], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:08:48.1122030Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:292] Input ids: 2025-06-05T19:08:48.1122290Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:294] 0 2025-06-05T19:08:48.1122550Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:295] Constant ids: 2025-06-05T19:08:48.1122810Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 1 2025-06-05T19:08:48.1123050Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 2 2025-06-05T19:08:48.1123360Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 4 2025-06-05T19:08:48.1123600Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 5 2025-06-05T19:08:48.1123830Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 7 2025-06-05T19:08:48.1124060Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 8 2025-06-05T19:08:48.1124300Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 10 2025-06-05T19:08:48.1124540Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 11 2025-06-05T19:08:48.1124780Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 14 2025-06-05T19:08:48.1125020Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 15 2025-06-05T19:08:48.1125260Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 17 2025-06-05T19:08:48.1125500Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 20 2025-06-05T19:08:48.1125740Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 21 2025-06-05T19:08:48.1125980Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 24 2025-06-05T19:08:48.1126220Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 25 2025-06-05T19:08:48.1126460Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 27 2025-06-05T19:08:48.1126700Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 30 2025-06-05T19:08:48.1126940Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 31 2025-06-05T19:08:48.1127170Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 34 2025-06-05T19:08:48.1127410Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 35 2025-06-05T19:08:48.1127660Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 37 2025-06-05T19:08:48.1127900Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 40 2025-06-05T19:08:48.1128140Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 41 2025-06-05T19:08:48.1128390Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 44 2025-06-05T19:08:48.1128620Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 45 2025-06-05T19:08:48.1128870Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 47 2025-06-05T19:08:48.1129110Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 50 2025-06-05T19:08:48.1129350Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 51 2025-06-05T19:08:48.1129590Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 54 2025-06-05T19:08:48.1129840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 55 2025-06-05T19:08:48.1130080Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 57 2025-06-05T19:08:48.1130320Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 60 2025-06-05T19:08:48.1130590Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 61 2025-06-05T19:08:48.1130840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 64 2025-06-05T19:08:48.1131080Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 65 2025-06-05T19:08:48.1131320Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 67 2025-06-05T19:08:48.1131570Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 70 2025-06-05T19:09:03.9877660Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 71 2025-06-05T19:09:03.9877950Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 74 2025-06-05T19:09:03.9878210Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 75 2025-06-05T19:09:03.9878850Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 77 2025-06-05T19:09:03.9879100Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 80 2025-06-05T19:09:03.9879340Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 81 2025-06-05T19:09:03.9879590Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 84 2025-06-05T19:09:03.9879840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 85 2025-06-05T19:09:03.9880080Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 87 2025-06-05T19:09:03.9880320Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 90 2025-06-05T19:09:03.9880560Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 91 2025-06-05T19:09:03.9881080Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 94 2025-06-05T19:09:03.9881340Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 95 2025-06-05T19:09:03.9881580Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 97 2025-06-05T19:09:03.9881840Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 100 2025-06-05T19:09:03.9882110Z [INFO 2025-06-05 19:08:20,315 mps_preprocess.py:297] 101 2025-06-05T19:09:03.9882370Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 104 2025-06-05T19:09:03.9882620Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 105 2025-06-05T19:09:03.9882870Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 107 2025-06-05T19:09:03.9883120Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 110 2025-06-05T19:09:03.9883370Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 111 2025-06-05T19:09:03.9883630Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 114 2025-06-05T19:09:03.9883880Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 115 2025-06-05T19:09:03.9884130Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 117 2025-06-05T19:09:03.9884390Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 120 2025-06-05T19:09:03.9884640Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 121 2025-06-05T19:09:03.9884890Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 124 2025-06-05T19:09:03.9885140Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 125 2025-06-05T19:09:03.9885390Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 127 2025-06-05T19:09:03.9885640Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 130 2025-06-05T19:09:03.9885900Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 131 2025-06-05T19:09:03.9886150Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 134 2025-06-05T19:09:03.9886400Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 135 2025-06-05T19:09:03.9886640Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 137 2025-06-05T19:09:03.9886890Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 140 2025-06-05T19:09:03.9887140Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 141 2025-06-05T19:09:03.9887390Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 144 2025-06-05T19:09:03.9887630Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 145 2025-06-05T19:09:03.9887870Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 147 2025-06-05T19:09:03.9888100Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 150 2025-06-05T19:09:03.9888340Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 151 2025-06-05T19:09:03.9888700Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 154 2025-06-05T19:09:03.9888940Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 155 2025-06-05T19:09:03.9889180Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 157 2025-06-05T19:09:03.9889420Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 160 2025-06-05T19:09:03.9889660Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 161 2025-06-05T19:09:03.9889900Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 164 2025-06-05T19:09:03.9890140Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 165 2025-06-05T19:09:03.9890380Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 167 2025-06-05T19:09:03.9890620Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 170 2025-06-05T19:09:03.9890900Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 171 2025-06-05T19:09:03.9891140Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 174 2025-06-05T19:09:03.9891380Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 175 2025-06-05T19:09:03.9891620Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 180 2025-06-05T19:09:03.9891860Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 181 2025-06-05T19:09:03.9892100Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 183 2025-06-05T19:09:03.9892340Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:297] 184 2025-06-05T19:09:03.9892670Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:298] Output ids: 2025-06-05T19:09:03.9892930Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:300] 186 2025-06-05T19:09:03.9893260Z [INFO 2025-06-05 19:08:20,316 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:09:03.9893600Z [INFO 2025-06-05 19:08:20,385 mps_example.py:185] Lowered graph: 2025-06-05T19:09:03.9893800Z graph(): 2025-06-05T19:09:03.9893940Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:09:03.9894190Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:09:03.9894700Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2025-06-05T19:09:03.9895320Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:09:03.9895640Z return (getitem,) 2025-06-05T19:09:03.9895920Z [DEBUG 2025-06-05 19:08:20,447 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:09:03.9896420Z [DEBUG 2025-06-05 19:08:20,447 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:09:03.9896910Z [DEBUG 2025-06-05 19:08:20,448 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 3010560] 2025-06-05T19:09:03.9897330Z [DEBUG 2025-06-05 19:08:20,448 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:09:03.9897970Z [DEBUG 2025-06-05 19:08:20,448 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:09:03.9898580Z [INFO 2025-06-05 19:08:22,166 utils.py:141] Saved exported program to edsr_mps_float16.pte 2025-06-05T19:09:03.9898800Z 2025-06-05T19:09:03.9898880Z ++ find . -type f -name 'edsr*.pte' -print -quit 2025-06-05T19:09:03.9899090Z + EXPORTED_MODEL=./edsr_mps_float16.pte 2025-06-05T19:09:03.9899310Z + [[ 0 -eq 0 ]] 2025-06-05T19:09:03.9903940Z + prepare_artifacts_upload 2025-06-05T19:09:03.9904110Z + '[' -n '' ']' 2025-06-05T19:09:03.9904420Z ##[endgroup] 2025-06-05T19:09:03.9904660Z ##[group]Exporting coreml model: mobilebert 2025-06-05T19:09:03.9904860Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:09:03.9905030Z + source .ci/scripts/utils.sh 2025-06-05T19:09:03.9905180Z + MODEL_NAME=mobilebert 2025-06-05T19:09:03.9905320Z + [[ -z mobilebert ]] 2025-06-05T19:09:03.9905450Z + BUILD_TOOL=cmake 2025-06-05T19:09:03.9905560Z + [[ -z cmake ]] 2025-06-05T19:09:03.9905670Z + BACKEND=coreml 2025-06-05T19:09:03.9905880Z + [[ -z coreml ]] 2025-06-05T19:09:03.9906000Z + UPLOAD_DIR= 2025-06-05T19:09:03.9906110Z + [[ -z python ]] 2025-06-05T19:09:03.9906230Z + which python 2025-06-05T19:09:03.9906430Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:09:03.9906690Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:09:03.9906850Z + EXPORTED_MODEL=mobilebert 2025-06-05T19:09:03.9907010Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:09:03.9907160Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:09:03.9907300Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:09:03.9907470Z + echo 'Testing mobilebert with coreml...' 2025-06-05T19:09:03.9907710Z Testing mobilebert with coreml... 2025-06-05T19:09:03.9907880Z + should_test_coreml=false 2025-06-05T19:09:03.9908020Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:09:03.9908170Z + test_model_with_coreml false 2025-06-05T19:09:03.9908320Z + local should_test=false 2025-06-05T19:09:03.9908450Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:09:03.9908590Z + DTYPE=float16 2025-06-05T19:09:03.9908910Z + python -m examples.apple.coreml.scripts.export --model_name=mobilebert --compute_precision float16 --use_partitioner 2025-06-05T19:09:03.9909570Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:09:03.9910430Z W0605 19:08:24.759000 12429 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:09:03.9911170Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:09:03.9911870Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:09:03.9912620Z W0605 19:08:28.374000 12446 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:09:03.9913240Z Error during conversion: ChunkedEncodingError(ProtocolError('Response ended prematurely')) 2025-06-05T19:09:03.9913800Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:09:03.9914180Z 2025-06-05T19:09:03.9914590Z Converting PyTorch Frontend ==> MIL Ops: 0%| | 0/2737 [00:00 MIL Ops: 25%|██▍ | 672/2737 [00:00<00:00, 6719.40 ops/s] 2025-06-05T19:09:03.9915840Z Converting PyTorch Frontend ==> MIL Ops: 49%|████▉ | 1344/2737 [00:00<00:00, 6426.30 ops/s] 2025-06-05T19:09:03.9916260Z Converting PyTorch Frontend ==> MIL Ops: 73%|███████▎ | 1988/2737 [00:00<00:00, 3542.97 ops/s] 2025-06-05T19:09:03.9916680Z Converting PyTorch Frontend ==> MIL Ops: 96%|█████████▌| 2630/2737 [00:00<00:00, 4289.29 ops/s] 2025-06-05T19:09:03.9917090Z Converting PyTorch Frontend ==> MIL Ops: 100%|█████████▉| 2736/2737 [00:00<00:00, 4502.69 ops/s] 2025-06-05T19:09:03.9917320Z 2025-06-05T19:09:03.9917470Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00: schema = aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor ([1, 8], 1) {'dtype': torch.float32, 'layout': torch.strided, 'device': device(type='cpu'), 'pin_memory': False} 2025-06-05T19:09:23.8667100Z call_function aten_full_default_1 : schema = aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor ([1, 8], 0) {'dtype': torch.int64, 'layout': torch.strided, 'device': device(type='cpu'), 'pin_memory': False} 2025-06-05T19:09:23.8667790Z call_function aten_embedding_default : schema = aten::embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor (p_embeddings_word_embeddings_weight, input_ids, 0) {} 2025-06-05T19:09:23.8668330Z call_function aten_permute_copy_default : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_embeddings_embedding_transformation_weight, [1, 0]) {} 2025-06-05T19:09:23.8668860Z call_function aten_permute_copy_default_1 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8669410Z call_function aten_permute_copy_default_2 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8669950Z call_function aten_permute_copy_default_3 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8670460Z call_function aten_permute_copy_default_4 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8671030Z call_function aten_permute_copy_default_5 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8671540Z call_function aten_permute_copy_default_6 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8672080Z call_function aten_permute_copy_default_7 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8672620Z call_function aten_permute_copy_default_8 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8673130Z call_function aten_permute_copy_default_9 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8673650Z call_function aten_permute_copy_default_10 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8674170Z call_function aten_permute_copy_default_11 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8674720Z call_function aten_permute_copy_default_12 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8675250Z call_function aten_permute_copy_default_13 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8675770Z call_function aten_permute_copy_default_14 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8676350Z call_function aten_permute_copy_default_15 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8676880Z call_function aten_permute_copy_default_16 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8677450Z call_function aten_permute_copy_default_17 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8677960Z call_function aten_permute_copy_default_18 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8678480Z call_function aten_permute_copy_default_19 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8679010Z call_function aten_permute_copy_default_20 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8679510Z call_function aten_permute_copy_default_21 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8680080Z call_function aten_permute_copy_default_22 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8680650Z call_function aten_permute_copy_default_23 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8681160Z call_function aten_permute_copy_default_24 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8681740Z call_function aten_permute_copy_default_25 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8682250Z call_function aten_permute_copy_default_26 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8682800Z call_function aten_permute_copy_default_27 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8683320Z call_function aten_permute_copy_default_28 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8683840Z call_function aten_permute_copy_default_29 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8684360Z call_function aten_permute_copy_default_30 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8684890Z call_function aten_permute_copy_default_31 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8685440Z call_function aten_permute_copy_default_32 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8685970Z call_function aten_permute_copy_default_33 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8686490Z call_function aten_permute_copy_default_34 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8687070Z call_function aten_permute_copy_default_35 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8687580Z call_function aten_permute_copy_default_36 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8688130Z call_function aten_permute_copy_default_37 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8688670Z call_function aten_permute_copy_default_38 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8689190Z call_function aten_permute_copy_default_39 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8689710Z call_function aten_permute_copy_default_40 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8690260Z call_function aten_permute_copy_default_41 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8690780Z call_function aten_permute_copy_default_42 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8691330Z call_function aten_permute_copy_default_43 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8691920Z call_function aten_permute_copy_default_44 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8692440Z call_function aten_permute_copy_default_45 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8692970Z call_function aten_permute_copy_default_46 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8693500Z call_function aten_permute_copy_default_47 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8694030Z call_function aten_permute_copy_default_48 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8694540Z call_function aten_permute_copy_default_49 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8695070Z call_function aten_permute_copy_default_50 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8695600Z call_function aten_permute_copy_default_51 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8696130Z call_function aten_permute_copy_default_52 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8696680Z call_function aten_permute_copy_default_53 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8697230Z call_function aten_permute_copy_default_54 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8697770Z call_function aten_permute_copy_default_55 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8698280Z call_function aten_permute_copy_default_56 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8698850Z call_function aten_permute_copy_default_57 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8699370Z call_function aten_permute_copy_default_58 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8699890Z call_function aten_permute_copy_default_59 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8700410Z call_function aten_permute_copy_default_60 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_3_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8700960Z call_function aten_permute_copy_default_61 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8701470Z call_function aten_permute_copy_default_62 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8702020Z call_function aten_permute_copy_default_63 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8702600Z call_function aten_permute_copy_default_64 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8703130Z call_function aten_permute_copy_default_65 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8703660Z call_function aten_permute_copy_default_66 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8704180Z call_function aten_permute_copy_default_67 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8704720Z call_function aten_permute_copy_default_68 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8705230Z call_function aten_permute_copy_default_69 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8705750Z call_function aten_permute_copy_default_70 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8706280Z call_function aten_permute_copy_default_71 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8706810Z call_function aten_permute_copy_default_72 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8707340Z call_function aten_permute_copy_default_73 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8707910Z call_function aten_permute_copy_default_74 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8708430Z call_function aten_permute_copy_default_75 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_4_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8708970Z call_function aten_permute_copy_default_76 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8709490Z call_function aten_permute_copy_default_77 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8710000Z call_function aten_permute_copy_default_78 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8710520Z call_function aten_permute_copy_default_79 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8711040Z call_function aten_permute_copy_default_80 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8711590Z call_function aten_permute_copy_default_81 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8712110Z call_function aten_permute_copy_default_82 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8712680Z call_function aten_permute_copy_default_83 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8713240Z call_function aten_permute_copy_default_84 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8713770Z call_function aten_permute_copy_default_85 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8714300Z call_function aten_permute_copy_default_86 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8714820Z call_function aten_permute_copy_default_87 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8715330Z call_function aten_permute_copy_default_88 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8715860Z call_function aten_permute_copy_default_89 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8716370Z call_function aten_permute_copy_default_90 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_5_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8716910Z call_function aten_permute_copy_default_91 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8717440Z call_function aten_permute_copy_default_92 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8717970Z call_function aten_permute_copy_default_93 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8718530Z call_function aten_permute_copy_default_94 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8719050Z call_function aten_permute_copy_default_95 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8719590Z call_function aten_permute_copy_default_96 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8720110Z call_function aten_permute_copy_default_97 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8720640Z call_function aten_permute_copy_default_98 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8721140Z call_function aten_permute_copy_default_99 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8721670Z call_function aten_permute_copy_default_100 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8722210Z call_function aten_permute_copy_default_101 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8722740Z call_function aten_permute_copy_default_102 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8723290Z call_function aten_permute_copy_default_103 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8723920Z call_function aten_permute_copy_default_104 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8724440Z call_function aten_permute_copy_default_105 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_6_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8725000Z call_function aten_permute_copy_default_106 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8725520Z call_function aten_permute_copy_default_107 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8726030Z call_function aten_permute_copy_default_108 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8726550Z call_function aten_permute_copy_default_109 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8727070Z call_function aten_permute_copy_default_110 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8727600Z call_function aten_permute_copy_default_111 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8728130Z call_function aten_permute_copy_default_112 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8728680Z call_function aten_permute_copy_default_113 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8729240Z call_function aten_permute_copy_default_114 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8729770Z call_function aten_permute_copy_default_115 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8730320Z call_function aten_permute_copy_default_116 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8730840Z call_function aten_permute_copy_default_117 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8731340Z call_function aten_permute_copy_default_118 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8731870Z call_function aten_permute_copy_default_119 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8732390Z call_function aten_permute_copy_default_120 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_7_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8732960Z call_function aten_permute_copy_default_121 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8733480Z call_function aten_permute_copy_default_122 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8734030Z call_function aten_permute_copy_default_123 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8734600Z call_function aten_permute_copy_default_124 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8735130Z call_function aten_permute_copy_default_125 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8735680Z call_function aten_permute_copy_default_126 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8736200Z call_function aten_permute_copy_default_127 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8736740Z call_function aten_permute_copy_default_128 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8737240Z call_function aten_permute_copy_default_129 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8737760Z call_function aten_permute_copy_default_130 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8738310Z call_function aten_permute_copy_default_131 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8738830Z call_function aten_permute_copy_default_132 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8739360Z call_function aten_permute_copy_default_133 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8739930Z call_function aten_permute_copy_default_134 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8740440Z call_function aten_permute_copy_default_135 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_8_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8741040Z call_function aten_permute_copy_default_136 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8741550Z call_function aten_permute_copy_default_137 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8742070Z call_function aten_permute_copy_default_138 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8742580Z call_function aten_permute_copy_default_139 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8743120Z call_function aten_permute_copy_default_140 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8743660Z call_function aten_permute_copy_default_141 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8744220Z call_function aten_permute_copy_default_142 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8744750Z call_function aten_permute_copy_default_143 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8745340Z call_function aten_permute_copy_default_144 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8745870Z call_function aten_permute_copy_default_145 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8746410Z call_function aten_permute_copy_default_146 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8746930Z call_function aten_permute_copy_default_147 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8747440Z call_function aten_permute_copy_default_148 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8747960Z call_function aten_permute_copy_default_149 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8748480Z call_function aten_permute_copy_default_150 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_9_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8749020Z call_function aten_permute_copy_default_151 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8749560Z call_function aten_permute_copy_default_152 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8750080Z call_function aten_permute_copy_default_153 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8750660Z call_function aten_permute_copy_default_154 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8751190Z call_function aten_permute_copy_default_155 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8751730Z call_function aten_permute_copy_default_156 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8752250Z call_function aten_permute_copy_default_157 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8752790Z call_function aten_permute_copy_default_158 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8753290Z call_function aten_permute_copy_default_159 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8753820Z call_function aten_permute_copy_default_160 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8754370Z call_function aten_permute_copy_default_161 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8754910Z call_function aten_permute_copy_default_162 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8755420Z call_function aten_permute_copy_default_163 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8756030Z call_function aten_permute_copy_default_164 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8756540Z call_function aten_permute_copy_default_165 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_10_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8757100Z call_function aten_permute_copy_default_166 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8757620Z call_function aten_permute_copy_default_167 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8758130Z call_function aten_permute_copy_default_168 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8758640Z call_function aten_permute_copy_default_169 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8759170Z call_function aten_permute_copy_default_170 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8759710Z call_function aten_permute_copy_default_171 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8760250Z call_function aten_permute_copy_default_172 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8760790Z call_function aten_permute_copy_default_173 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8761350Z call_function aten_permute_copy_default_174 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8761880Z call_function aten_permute_copy_default_175 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8762440Z call_function aten_permute_copy_default_176 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8762960Z call_function aten_permute_copy_default_177 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8763470Z call_function aten_permute_copy_default_178 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8763990Z call_function aten_permute_copy_default_179 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8764500Z call_function aten_permute_copy_default_180 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_11_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8765070Z call_function aten_permute_copy_default_181 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8765620Z call_function aten_permute_copy_default_182 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8766130Z call_function aten_permute_copy_default_183 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8766740Z call_function aten_permute_copy_default_184 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8767270Z call_function aten_permute_copy_default_185 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8767800Z call_function aten_permute_copy_default_186 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8768320Z call_function aten_permute_copy_default_187 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8768860Z call_function aten_permute_copy_default_188 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8769360Z call_function aten_permute_copy_default_189 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8769890Z call_function aten_permute_copy_default_190 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8770420Z call_function aten_permute_copy_default_191 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8770980Z call_function aten_permute_copy_default_192 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8771490Z call_function aten_permute_copy_default_193 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8772080Z call_function aten_permute_copy_default_194 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8772590Z call_function aten_permute_copy_default_195 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_12_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8773150Z call_function aten_permute_copy_default_196 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8773670Z call_function aten_permute_copy_default_197 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8774180Z call_function aten_permute_copy_default_198 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8774690Z call_function aten_permute_copy_default_199 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8775220Z call_function aten_permute_copy_default_200 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8775770Z call_function aten_permute_copy_default_201 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8776310Z call_function aten_permute_copy_default_202 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8776840Z call_function aten_permute_copy_default_203 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8777400Z call_function aten_permute_copy_default_204 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8777930Z call_function aten_permute_copy_default_205 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8778470Z call_function aten_permute_copy_default_206 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8778990Z call_function aten_permute_copy_default_207 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8779500Z call_function aten_permute_copy_default_208 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8780020Z call_function aten_permute_copy_default_209 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8780570Z call_function aten_permute_copy_default_210 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_13_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8781090Z call_function aten_permute_copy_default_211 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8781630Z call_function aten_permute_copy_default_212 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8782190Z call_function aten_permute_copy_default_213 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8782700Z call_function aten_permute_copy_default_214 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8783220Z call_function aten_permute_copy_default_215 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8783760Z call_function aten_permute_copy_default_216 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8784280Z call_function aten_permute_copy_default_217 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8784810Z call_function aten_permute_copy_default_218 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8785320Z call_function aten_permute_copy_default_219 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8785860Z call_function aten_permute_copy_default_220 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8786370Z call_function aten_permute_copy_default_221 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8786930Z call_function aten_permute_copy_default_222 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8787490Z call_function aten_permute_copy_default_223 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8788020Z call_function aten_permute_copy_default_224 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8788540Z call_function aten_permute_copy_default_225 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_14_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8789080Z call_function aten_permute_copy_default_226 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8789590Z call_function aten_permute_copy_default_227 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8790110Z call_function aten_permute_copy_default_228 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8790630Z call_function aten_permute_copy_default_229 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8791160Z call_function aten_permute_copy_default_230 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8791670Z call_function aten_permute_copy_default_231 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8792210Z call_function aten_permute_copy_default_232 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8792780Z call_function aten_permute_copy_default_233 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8793290Z call_function aten_permute_copy_default_234 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8793830Z call_function aten_permute_copy_default_235 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8794340Z call_function aten_permute_copy_default_236 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8794860Z call_function aten_permute_copy_default_237 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8795370Z call_function aten_permute_copy_default_238 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8795890Z call_function aten_permute_copy_default_239 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8796440Z call_function aten_permute_copy_default_240 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_15_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8796960Z call_function aten_permute_copy_default_241 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8797510Z call_function aten_permute_copy_default_242 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8798060Z call_function aten_permute_copy_default_243 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8798580Z call_function aten_permute_copy_default_244 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8799120Z call_function aten_permute_copy_default_245 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8799620Z call_function aten_permute_copy_default_246 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8800140Z call_function aten_permute_copy_default_247 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8800670Z call_function aten_permute_copy_default_248 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8801180Z call_function aten_permute_copy_default_249 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8801720Z call_function aten_permute_copy_default_250 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8802230Z call_function aten_permute_copy_default_251 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8802770Z call_function aten_permute_copy_default_252 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8803320Z call_function aten_permute_copy_default_253 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8803840Z call_function aten_permute_copy_default_254 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8804390Z call_function aten_permute_copy_default_255 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_16_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8804920Z call_function aten_permute_copy_default_256 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8805430Z call_function aten_permute_copy_default_257 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8805950Z call_function aten_permute_copy_default_258 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8810340Z call_function aten_permute_copy_default_259 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8810920Z call_function aten_permute_copy_default_260 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8811430Z call_function aten_permute_copy_default_261 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8811980Z call_function aten_permute_copy_default_262 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8812570Z call_function aten_permute_copy_default_263 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8813080Z call_function aten_permute_copy_default_264 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8813630Z call_function aten_permute_copy_default_265 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8814130Z call_function aten_permute_copy_default_266 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8814660Z call_function aten_permute_copy_default_267 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8815160Z call_function aten_permute_copy_default_268 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8815680Z call_function aten_permute_copy_default_269 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8816210Z call_function aten_permute_copy_default_270 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_17_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8816730Z call_function aten_permute_copy_default_271 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8817270Z call_function aten_permute_copy_default_272 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8817830Z call_function aten_permute_copy_default_273 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8818350Z call_function aten_permute_copy_default_274 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8818890Z call_function aten_permute_copy_default_275 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8819390Z call_function aten_permute_copy_default_276 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8819910Z call_function aten_permute_copy_default_277 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8820440Z call_function aten_permute_copy_default_278 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8820950Z call_function aten_permute_copy_default_279 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8821510Z call_function aten_permute_copy_default_280 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8822010Z call_function aten_permute_copy_default_281 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8822560Z call_function aten_permute_copy_default_282 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8823110Z call_function aten_permute_copy_default_283 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8823630Z call_function aten_permute_copy_default_284 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8824160Z call_function aten_permute_copy_default_285 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_18_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8824680Z call_function aten_permute_copy_default_286 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8825200Z call_function aten_permute_copy_default_287 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8825710Z call_function aten_permute_copy_default_288 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8826220Z call_function aten_permute_copy_default_289 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8826770Z call_function aten_permute_copy_default_290 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8827270Z call_function aten_permute_copy_default_291 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8827810Z call_function aten_permute_copy_default_292 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8828380Z call_function aten_permute_copy_default_293 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8828890Z call_function aten_permute_copy_default_294 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8829480Z call_function aten_permute_copy_default_295 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8829980Z call_function aten_permute_copy_default_296 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8830500Z call_function aten_permute_copy_default_297 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8831010Z call_function aten_permute_copy_default_298 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8831530Z call_function aten_permute_copy_default_299 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8832070Z call_function aten_permute_copy_default_300 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_19_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8832590Z call_function aten_permute_copy_default_301 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8833130Z call_function aten_permute_copy_default_302 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8833700Z call_function aten_permute_copy_default_303 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8834220Z call_function aten_permute_copy_default_304 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8834760Z call_function aten_permute_copy_default_305 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8835260Z call_function aten_permute_copy_default_306 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8835800Z call_function aten_permute_copy_default_307 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8836330Z call_function aten_permute_copy_default_308 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8836840Z call_function aten_permute_copy_default_309 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8837380Z call_function aten_permute_copy_default_310 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8837900Z call_function aten_permute_copy_default_311 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8838430Z call_function aten_permute_copy_default_312 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8838980Z call_function aten_permute_copy_default_313 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8839500Z call_function aten_permute_copy_default_314 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8840040Z call_function aten_permute_copy_default_315 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_20_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8840560Z call_function aten_permute_copy_default_316 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8841080Z call_function aten_permute_copy_default_317 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8841590Z call_function aten_permute_copy_default_318 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8842100Z call_function aten_permute_copy_default_319 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8842670Z call_function aten_permute_copy_default_320 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8843200Z call_function aten_permute_copy_default_321 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8843720Z call_function aten_permute_copy_default_322 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8844340Z call_function aten_permute_copy_default_323 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8844860Z call_function aten_permute_copy_default_324 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8845400Z call_function aten_permute_copy_default_325 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8845910Z call_function aten_permute_copy_default_326 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8846430Z call_function aten_permute_copy_default_327 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8846940Z call_function aten_permute_copy_default_328 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8847460Z call_function aten_permute_copy_default_329 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8848000Z call_function aten_permute_copy_default_330 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_21_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8848540Z call_function aten_permute_copy_default_331 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8849060Z call_function aten_permute_copy_default_332 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8849610Z call_function aten_permute_copy_default_333 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8850130Z call_function aten_permute_copy_default_334 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8850690Z call_function aten_permute_copy_default_335 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8851200Z call_function aten_permute_copy_default_336 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8851730Z call_function aten_permute_copy_default_337 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8852260Z call_function aten_permute_copy_default_338 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8852760Z call_function aten_permute_copy_default_339 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8853310Z call_function aten_permute_copy_default_340 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8853850Z call_function aten_permute_copy_default_341 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8854370Z call_function aten_permute_copy_default_342 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8854930Z call_function aten_permute_copy_default_343 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8855460Z call_function aten_permute_copy_default_344 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8855990Z call_function aten_permute_copy_default_345 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_22_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8856510Z call_function aten_permute_copy_default_346 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_attention_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8857030Z call_function aten_permute_copy_default_347 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_attention_self_query_weight, [1, 0]) {} 2025-06-05T19:09:23.8857540Z call_function aten_permute_copy_default_348 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_attention_self_key_weight, [1, 0]) {} 2025-06-05T19:09:23.8858050Z call_function aten_permute_copy_default_349 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_attention_self_value_weight, [1, 0]) {} 2025-06-05T19:09:23.8858610Z call_function aten_permute_copy_default_350 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_output_bottleneck_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8859130Z call_function aten_permute_copy_default_351 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8859660Z call_function aten_permute_copy_default_352 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_bottleneck_input_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8860290Z call_function aten_permute_copy_default_353 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_bottleneck_attention_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8860800Z call_function aten_permute_copy_default_354 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_0_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8861370Z call_function aten_permute_copy_default_355 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_0_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8861880Z call_function aten_permute_copy_default_356 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_1_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8862400Z call_function aten_permute_copy_default_357 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_1_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8862910Z call_function aten_permute_copy_default_358 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_2_output_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8863430Z call_function aten_permute_copy_default_359 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_ffn_2_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8863990Z call_function aten_permute_copy_default_360 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (p_encoder_layer_23_intermediate_dense_weight, [1, 0]) {} 2025-06-05T19:09:23.8864580Z call_function aten_slice_copy_tensor : schema = aten::slice_copy.Tensor(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor (b_embeddings_position_ids, 1, 0, 8) {} 2025-06-05T19:09:23.8865070Z call_function aten_unsqueeze_copy_default : schema = aten::unsqueeze_copy(Tensor self, int dim) -> Tensor (aten_full_default, 1) {} 2025-06-05T19:09:23.8865830Z call_function aten_embedding_default_1 : schema = aten::embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor (p_embeddings_token_type_embeddings_weight, aten_full_default_1) {} 2025-06-05T19:09:23.8866450Z call_function aten_slice_copy_tensor_1 : schema = aten::slice_copy.Tensor(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor (aten_embedding_default, 1, 1, 9223372036854775807) {} 2025-06-05T19:09:23.8867040Z call_function aten_slice_copy_tensor_2 : schema = aten::slice_copy.Tensor(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor (aten_embedding_default, 1, 0, -1) {} 2025-06-05T19:09:23.8867740Z call_function aten_embedding_default_2 : schema = aten::embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor (p_embeddings_position_embeddings_weight, aten_slice_copy_tensor) {} 2025-06-05T19:09:23.8868240Z call_function aten_unsqueeze_copy_default_1 : schema = aten::unsqueeze_copy(Tensor self, int dim) -> Tensor (aten_unsqueeze_copy_default, 2) {} 2025-06-05T19:09:23.8868770Z call_function aten_constant_pad_nd_default : schema = aten::constant_pad_nd(Tensor self, SymInt[] pad, Scalar value=0) -> Tensor (aten_slice_copy_tensor_1, [0, 0, 0, 1, 0, 0], 0.0) {} 2025-06-05T19:09:23.8869300Z call_function aten_constant_pad_nd_default_1 : schema = aten::constant_pad_nd(Tensor self, SymInt[] pad, Scalar value=0) -> Tensor (aten_slice_copy_tensor_2, [0, 0, 1, 0, 0, 0], 0.0) {} 2025-06-05T19:09:23.8869840Z call_function aten_sub_tensor : schema = aten::sub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (_lifted_tensor_constant1, aten_unsqueeze_copy_default_1) {} 2025-06-05T19:09:23.8870380Z call_function aten_cat_default : schema = aten::cat(Tensor[] tensors, int dim=0) -> Tensor ([aten_constant_pad_nd_default, aten_embedding_default, aten_constant_pad_nd_default_1], 2) {} 2025-06-05T19:09:23.8870850Z call_function aten_mul_tensor : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_sub_tensor, _lifted_tensor_constant2) {} 2025-06-05T19:09:23.8871340Z call_function aten_view_copy_default : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_cat_default, [8, 384]) {} 2025-06-05T19:09:23.8871960Z call_function aten_addmm_default : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_embeddings_embedding_transformation_bias, aten_view_copy_default, aten_permute_copy_default) {} 2025-06-05T19:09:23.8872450Z call_function aten_view_copy_default_1 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default, [1, 8, 512]) {} 2025-06-05T19:09:23.8872970Z call_function aten_add_tensor : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_1, aten_embedding_default_2) {} 2025-06-05T19:09:23.8873470Z call_function aten_add_tensor_1 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_add_tensor, aten_embedding_default_1) {} 2025-06-05T19:09:23.8873940Z call_function aten_mul_tensor_1 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_1, p_embeddings_layernorm_weight) {} 2025-06-05T19:09:23.8874470Z call_function aten_add_tensor_2 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_1, p_embeddings_layernorm_bias) {} 2025-06-05T19:09:23.8874940Z call_function aten_clone_default : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_add_tensor_2,) {} 2025-06-05T19:09:23.8875420Z call_function aten_view_copy_default_2 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default, [8, 512]) {} 2025-06-05T19:09:23.8875930Z call_function aten_view_copy_default_3 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default, [8, 512]) {} 2025-06-05T19:09:23.8876380Z call_function aten_view_copy_default_4 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default, [8, 512]) {} 2025-06-05T19:09:23.8876990Z call_function aten_addmm_default_1 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_bottleneck_input_dense_bias, aten_view_copy_default_2, aten_permute_copy_default_7) {} 2025-06-05T19:09:23.8877620Z call_function aten_addmm_default_2 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_bottleneck_attention_dense_bias, aten_view_copy_default_3, aten_permute_copy_default_8) {} 2025-06-05T19:09:23.8878220Z call_function aten_addmm_default_3 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_attention_self_value_bias, aten_view_copy_default_4, aten_permute_copy_default_4) {} 2025-06-05T19:09:23.8878670Z call_function aten_view_copy_default_5 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_1, [1, 8, 128]) {} 2025-06-05T19:09:23.8879120Z call_function aten_view_copy_default_6 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_2, [1, 8, 128]) {} 2025-06-05T19:09:23.8879590Z call_function aten_view_copy_default_7 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_3, [1, 8, 128]) {} 2025-06-05T19:09:23.8880110Z call_function aten_mul_tensor_2 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_5, p_encoder_layer_0_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.8880660Z call_function aten_mul_tensor_3 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_6, p_encoder_layer_0_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.8881160Z call_function aten_view_copy_default_8 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_7, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8881710Z call_function aten_add_tensor_3 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_2, p_encoder_layer_0_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.8882250Z call_function aten_add_tensor_4 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_3, p_encoder_layer_0_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.8882760Z call_function aten_permute_copy_default_361 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_8, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8883220Z call_function aten_view_copy_default_9 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_4, [8, 128]) {} 2025-06-05T19:09:23.8883690Z call_function aten_view_copy_default_10 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_4, [8, 128]) {} 2025-06-05T19:09:23.8884220Z call_function aten_expand_copy_default : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_361, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8884860Z call_function aten_addmm_default_4 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_attention_self_query_bias, aten_view_copy_default_9, aten_permute_copy_default_2) {} 2025-06-05T19:09:23.8885470Z call_function aten_addmm_default_5 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_attention_self_key_bias, aten_view_copy_default_10, aten_permute_copy_default_3) {} 2025-06-05T19:09:23.8885960Z call_function aten_view_copy_default_11 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default, [4, 8, 32]) {} 2025-06-05T19:09:23.8886470Z call_function aten_view_copy_default_12 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_4, [1, 8, 128]) {} 2025-06-05T19:09:23.8886920Z call_function aten_view_copy_default_13 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_5, [1, 8, 128]) {} 2025-06-05T19:09:23.8887410Z call_function aten_view_copy_default_14 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_12, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8887870Z call_function aten_view_copy_default_15 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_13, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8888350Z call_function aten_permute_copy_default_362 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_14, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8888830Z call_function aten_permute_copy_default_363 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_15, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8889370Z call_function aten_expand_copy_default_1 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_362, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8889870Z call_function aten_permute_copy_default_364 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_363, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.8890340Z call_function aten_view_copy_default_16 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_1, [4, 8, 32]) {} 2025-06-05T19:09:23.8890890Z call_function aten_expand_copy_default_2 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_364, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.8891400Z call_function aten_view_copy_default_17 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_2, [4, 32, 8]) {} 2025-06-05T19:09:23.8891870Z call_function aten_bmm_default : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_16, aten_view_copy_default_17) {} 2025-06-05T19:09:23.8892340Z call_function aten_view_copy_default_18 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8892830Z call_function aten_div_tensor : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_18, _lifted_tensor_constant3) {} 2025-06-05T19:09:23.8893300Z call_function aten_add_tensor_5 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor, aten_mul_tensor) {} 2025-06-05T19:09:23.8893780Z call_function aten__softmax_default : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_5, -1, False) {} 2025-06-05T19:09:23.8894270Z call_function aten_clone_default_1 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default,) {} 2025-06-05T19:09:23.8894810Z call_function aten_expand_copy_default_3 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_1, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8895270Z call_function aten_view_copy_default_19 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_3, [4, 8, 8]) {} 2025-06-05T19:09:23.8895770Z call_function aten_bmm_default_1 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_19, aten_view_copy_default_11) {} 2025-06-05T19:09:23.8896270Z call_function aten_view_copy_default_20 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_1, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8896760Z call_function aten_permute_copy_default_365 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_20, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8897300Z call_function aten_clone_default_2 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_365,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.8897770Z call_function aten_view_copy_default_21 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_2, [1, 8, 128]) {} 2025-06-05T19:09:23.8898230Z call_function aten_view_copy_default_22 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_21, [8, 128]) {} 2025-06-05T19:09:23.8898840Z call_function aten_addmm_default_6 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_attention_output_dense_bias, aten_view_copy_default_22, aten_permute_copy_default_1) {} 2025-06-05T19:09:23.8899300Z call_function aten_view_copy_default_23 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_6, [1, 8, 128]) {} 2025-06-05T19:09:23.8899810Z call_function aten_add_tensor_6 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_23, aten_add_tensor_3) {} 2025-06-05T19:09:23.8900330Z call_function aten_mul_tensor_4 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_6, p_encoder_layer_0_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.8900890Z call_function aten_add_tensor_7 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_4, p_encoder_layer_0_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.8901390Z call_function aten_view_copy_default_24 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_7, [8, 128]) {} 2025-06-05T19:09:23.8902000Z call_function aten_addmm_default_7 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_0_intermediate_dense_bias, aten_view_copy_default_24, aten_permute_copy_default_10) {} 2025-06-05T19:09:23.8902480Z call_function aten_view_copy_default_25 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_7, [1, 8, 512]) {} 2025-06-05T19:09:23.8902880Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_25,) {} 2025-06-05T19:09:23.8903330Z call_function aten_view_copy_default_26 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default, [8, 512]) {} 2025-06-05T19:09:23.8903940Z call_function aten_addmm_default_8 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_0_output_dense_bias, aten_view_copy_default_26, aten_permute_copy_default_9) {} 2025-06-05T19:09:23.8904390Z call_function aten_view_copy_default_27 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_8, [1, 8, 128]) {} 2025-06-05T19:09:23.8904910Z call_function aten_add_tensor_8 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_27, aten_add_tensor_7) {} 2025-06-05T19:09:23.8905420Z call_function aten_mul_tensor_5 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_8, p_encoder_layer_0_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.8905970Z call_function aten_add_tensor_9 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_5, p_encoder_layer_0_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.8906460Z call_function aten_view_copy_default_28 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_9, [8, 128]) {} 2025-06-05T19:09:23.8907080Z call_function aten_addmm_default_9 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_1_intermediate_dense_bias, aten_view_copy_default_28, aten_permute_copy_default_12) {} 2025-06-05T19:09:23.8907550Z call_function aten_view_copy_default_29 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_9, [1, 8, 512]) {} 2025-06-05T19:09:23.8907960Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_29,) {} 2025-06-05T19:09:23.8908410Z call_function aten_view_copy_default_30 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_1, [8, 512]) {} 2025-06-05T19:09:23.8909020Z call_function aten_addmm_default_10 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_1_output_dense_bias, aten_view_copy_default_30, aten_permute_copy_default_11) {} 2025-06-05T19:09:23.8909480Z call_function aten_view_copy_default_31 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_10, [1, 8, 128]) {} 2025-06-05T19:09:23.8909990Z call_function aten_add_tensor_10 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_31, aten_add_tensor_9) {} 2025-06-05T19:09:23.8910500Z call_function aten_mul_tensor_6 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_10, p_encoder_layer_0_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.8911040Z call_function aten_add_tensor_11 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_6, p_encoder_layer_0_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.8911540Z call_function aten_view_copy_default_32 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_11, [8, 128]) {} 2025-06-05T19:09:23.8912150Z call_function aten_addmm_default_11 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_2_intermediate_dense_bias, aten_view_copy_default_32, aten_permute_copy_default_14) {} 2025-06-05T19:09:23.8912670Z call_function aten_view_copy_default_33 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_11, [1, 8, 512]) {} 2025-06-05T19:09:23.8913070Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_33,) {} 2025-06-05T19:09:23.8913530Z call_function aten_view_copy_default_34 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_2, [8, 512]) {} 2025-06-05T19:09:23.8914140Z call_function aten_addmm_default_12 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_ffn_2_output_dense_bias, aten_view_copy_default_34, aten_permute_copy_default_13) {} 2025-06-05T19:09:23.8914590Z call_function aten_view_copy_default_35 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_12, [1, 8, 128]) {} 2025-06-05T19:09:23.8915110Z call_function aten_add_tensor_12 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_35, aten_add_tensor_11) {} 2025-06-05T19:09:23.8915620Z call_function aten_mul_tensor_7 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_12, p_encoder_layer_0_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.8916190Z call_function aten_add_tensor_13 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_7, p_encoder_layer_0_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.8916700Z call_function aten_view_copy_default_36 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_13, [8, 128]) {} 2025-06-05T19:09:23.8917320Z call_function aten_addmm_default_13 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_intermediate_dense_bias, aten_view_copy_default_36, aten_permute_copy_default_15) {} 2025-06-05T19:09:23.8917790Z call_function aten_view_copy_default_37 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_13, [1, 8, 512]) {} 2025-06-05T19:09:23.8918200Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_37,) {} 2025-06-05T19:09:23.8918660Z call_function aten_view_copy_default_38 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_3, [8, 512]) {} 2025-06-05T19:09:23.8919260Z call_function aten_addmm_default_14 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_output_dense_bias, aten_view_copy_default_38, aten_permute_copy_default_6) {} 2025-06-05T19:09:23.8919720Z call_function aten_view_copy_default_39 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_14, [1, 8, 128]) {} 2025-06-05T19:09:23.8920230Z call_function aten_add_tensor_14 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_39, aten_add_tensor_13) {} 2025-06-05T19:09:23.8920750Z call_function aten_mul_tensor_8 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_14, p_encoder_layer_0_output_layernorm_weight) {} 2025-06-05T19:09:23.8921270Z call_function aten_add_tensor_15 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_8, p_encoder_layer_0_output_layernorm_bias) {} 2025-06-05T19:09:23.8921770Z call_function aten_view_copy_default_40 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_15, [8, 128]) {} 2025-06-05T19:09:23.8922380Z call_function aten_addmm_default_15 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_0_output_bottleneck_dense_bias, aten_view_copy_default_40, aten_permute_copy_default_5) {} 2025-06-05T19:09:23.8922860Z call_function aten_view_copy_default_41 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_15, [1, 8, 512]) {} 2025-06-05T19:09:23.8923350Z call_function aten_clone_default_3 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_41,) {} 2025-06-05T19:09:23.8923840Z call_function aten_add_tensor_16 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_3, aten_clone_default) {} 2025-06-05T19:09:23.8924360Z call_function aten_mul_tensor_9 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_16, p_encoder_layer_0_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.8924900Z call_function aten_add_tensor_17 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_9, p_encoder_layer_0_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.8925380Z call_function aten_view_copy_default_42 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_17, [8, 512]) {} 2025-06-05T19:09:23.8925850Z call_function aten_view_copy_default_43 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_17, [8, 512]) {} 2025-06-05T19:09:23.8926300Z call_function aten_view_copy_default_44 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_17, [8, 512]) {} 2025-06-05T19:09:23.8926960Z call_function aten_addmm_default_16 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_bottleneck_input_dense_bias, aten_view_copy_default_42, aten_permute_copy_default_22) {} 2025-06-05T19:09:23.8927570Z call_function aten_addmm_default_17 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_bottleneck_attention_dense_bias, aten_view_copy_default_43, aten_permute_copy_default_23) {} 2025-06-05T19:09:23.8928200Z call_function aten_addmm_default_18 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_attention_self_value_bias, aten_view_copy_default_44, aten_permute_copy_default_19) {} 2025-06-05T19:09:23.8928660Z call_function aten_view_copy_default_45 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_16, [1, 8, 128]) {} 2025-06-05T19:09:23.8929110Z call_function aten_view_copy_default_46 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_17, [1, 8, 128]) {} 2025-06-05T19:09:23.8929560Z call_function aten_view_copy_default_47 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_18, [1, 8, 128]) {} 2025-06-05T19:09:23.8930080Z call_function aten_mul_tensor_10 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_45, p_encoder_layer_1_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.8930620Z call_function aten_mul_tensor_11 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_46, p_encoder_layer_1_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.8931100Z call_function aten_view_copy_default_48 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_47, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8931650Z call_function aten_add_tensor_18 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_10, p_encoder_layer_1_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.8932240Z call_function aten_add_tensor_19 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_11, p_encoder_layer_1_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.8932730Z call_function aten_permute_copy_default_366 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_48, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8933210Z call_function aten_view_copy_default_49 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_19, [8, 128]) {} 2025-06-05T19:09:23.8933670Z call_function aten_view_copy_default_50 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_19, [8, 128]) {} 2025-06-05T19:09:23.8934210Z call_function aten_expand_copy_default_4 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_366, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8934820Z call_function aten_addmm_default_19 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_attention_self_query_bias, aten_view_copy_default_49, aten_permute_copy_default_17) {} 2025-06-05T19:09:23.8935420Z call_function aten_addmm_default_20 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_attention_self_key_bias, aten_view_copy_default_50, aten_permute_copy_default_18) {} 2025-06-05T19:09:23.8935920Z call_function aten_view_copy_default_51 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_4, [4, 8, 32]) {} 2025-06-05T19:09:23.8936410Z call_function aten_view_copy_default_52 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_19, [1, 8, 128]) {} 2025-06-05T19:09:23.8936870Z call_function aten_view_copy_default_53 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_20, [1, 8, 128]) {} 2025-06-05T19:09:23.8937380Z call_function aten_view_copy_default_54 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_52, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8937850Z call_function aten_view_copy_default_55 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_53, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8938350Z call_function aten_permute_copy_default_367 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_54, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8938830Z call_function aten_permute_copy_default_368 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_55, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8939370Z call_function aten_expand_copy_default_5 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_367, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8939860Z call_function aten_permute_copy_default_369 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_368, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.8940320Z call_function aten_view_copy_default_56 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_5, [4, 8, 32]) {} 2025-06-05T19:09:23.8940870Z call_function aten_expand_copy_default_6 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_369, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.8941350Z call_function aten_view_copy_default_57 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_6, [4, 32, 8]) {} 2025-06-05T19:09:23.8941820Z call_function aten_bmm_default_2 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_56, aten_view_copy_default_57) {} 2025-06-05T19:09:23.8942310Z call_function aten_view_copy_default_58 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_2, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8942800Z call_function aten_div_tensor_1 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_58, _lifted_tensor_constant4) {} 2025-06-05T19:09:23.8943300Z call_function aten_add_tensor_20 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_1, aten_mul_tensor) {} 2025-06-05T19:09:23.8943780Z call_function aten__softmax_default_1 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_20, -1, False) {} 2025-06-05T19:09:23.8944270Z call_function aten_clone_default_4 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_1,) {} 2025-06-05T19:09:23.8944790Z call_function aten_expand_copy_default_7 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_4, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8945250Z call_function aten_view_copy_default_59 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_7, [4, 8, 8]) {} 2025-06-05T19:09:23.8945750Z call_function aten_bmm_default_3 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_59, aten_view_copy_default_51) {} 2025-06-05T19:09:23.8946220Z call_function aten_view_copy_default_60 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_3, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8946700Z call_function aten_permute_copy_default_370 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_60, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8947270Z call_function aten_clone_default_5 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_370,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.8947730Z call_function aten_view_copy_default_61 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_5, [1, 8, 128]) {} 2025-06-05T19:09:23.8948220Z call_function aten_view_copy_default_62 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_61, [8, 128]) {} 2025-06-05T19:09:23.8948820Z call_function aten_addmm_default_21 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_attention_output_dense_bias, aten_view_copy_default_62, aten_permute_copy_default_16) {} 2025-06-05T19:09:23.8949280Z call_function aten_view_copy_default_63 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_21, [1, 8, 128]) {} 2025-06-05T19:09:23.8949780Z call_function aten_add_tensor_21 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_63, aten_add_tensor_18) {} 2025-06-05T19:09:23.8950320Z call_function aten_mul_tensor_12 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_21, p_encoder_layer_1_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.8950860Z call_function aten_add_tensor_22 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_12, p_encoder_layer_1_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.8951330Z call_function aten_view_copy_default_64 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_22, [8, 128]) {} 2025-06-05T19:09:23.8951980Z call_function aten_addmm_default_22 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_0_intermediate_dense_bias, aten_view_copy_default_64, aten_permute_copy_default_25) {} 2025-06-05T19:09:23.8952440Z call_function aten_view_copy_default_65 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_22, [1, 8, 512]) {} 2025-06-05T19:09:23.8952850Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_65,) {} 2025-06-05T19:09:23.8953330Z call_function aten_view_copy_default_66 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_4, [8, 512]) {} 2025-06-05T19:09:23.8953920Z call_function aten_addmm_default_23 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_0_output_dense_bias, aten_view_copy_default_66, aten_permute_copy_default_24) {} 2025-06-05T19:09:23.8954380Z call_function aten_view_copy_default_67 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_23, [1, 8, 128]) {} 2025-06-05T19:09:23.8954880Z call_function aten_add_tensor_23 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_67, aten_add_tensor_22) {} 2025-06-05T19:09:23.8955400Z call_function aten_mul_tensor_13 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_23, p_encoder_layer_1_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.8955940Z call_function aten_add_tensor_24 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_13, p_encoder_layer_1_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.8956430Z call_function aten_view_copy_default_68 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_24, [8, 128]) {} 2025-06-05T19:09:23.8957100Z call_function aten_addmm_default_24 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_1_intermediate_dense_bias, aten_view_copy_default_68, aten_permute_copy_default_27) {} 2025-06-05T19:09:23.8957560Z call_function aten_view_copy_default_69 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_24, [1, 8, 512]) {} 2025-06-05T19:09:23.8957990Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_69,) {} 2025-06-05T19:09:23.8958440Z call_function aten_view_copy_default_70 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_5, [8, 512]) {} 2025-06-05T19:09:23.8959040Z call_function aten_addmm_default_25 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_1_output_dense_bias, aten_view_copy_default_70, aten_permute_copy_default_26) {} 2025-06-05T19:09:23.8959500Z call_function aten_view_copy_default_71 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_25, [1, 8, 128]) {} 2025-06-05T19:09:23.8959990Z call_function aten_add_tensor_25 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_71, aten_add_tensor_24) {} 2025-06-05T19:09:23.8960520Z call_function aten_mul_tensor_14 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_25, p_encoder_layer_1_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.8961050Z call_function aten_add_tensor_26 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_14, p_encoder_layer_1_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.8961520Z call_function aten_view_copy_default_72 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_26, [8, 128]) {} 2025-06-05T19:09:23.8962170Z call_function aten_addmm_default_26 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_2_intermediate_dense_bias, aten_view_copy_default_72, aten_permute_copy_default_29) {} 2025-06-05T19:09:23.8962650Z call_function aten_view_copy_default_73 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_26, [1, 8, 512]) {} 2025-06-05T19:09:23.8963070Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_73,) {} 2025-06-05T19:09:23.8963520Z call_function aten_view_copy_default_74 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_6, [8, 512]) {} 2025-06-05T19:09:23.8964120Z call_function aten_addmm_default_27 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_ffn_2_output_dense_bias, aten_view_copy_default_74, aten_permute_copy_default_28) {} 2025-06-05T19:09:23.8964580Z call_function aten_view_copy_default_75 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_27, [1, 8, 128]) {} 2025-06-05T19:09:23.8965070Z call_function aten_add_tensor_27 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_75, aten_add_tensor_26) {} 2025-06-05T19:09:23.8965600Z call_function aten_mul_tensor_15 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_27, p_encoder_layer_1_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.8966130Z call_function aten_add_tensor_28 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_15, p_encoder_layer_1_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.8966600Z call_function aten_view_copy_default_76 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_28, [8, 128]) {} 2025-06-05T19:09:23.8967260Z call_function aten_addmm_default_28 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_intermediate_dense_bias, aten_view_copy_default_76, aten_permute_copy_default_30) {} 2025-06-05T19:09:23.8967720Z call_function aten_view_copy_default_77 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_28, [1, 8, 512]) {} 2025-06-05T19:09:23.8968140Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_77,) {} 2025-06-05T19:09:23.8968590Z call_function aten_view_copy_default_78 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_7, [8, 512]) {} 2025-06-05T19:09:23.8969190Z call_function aten_addmm_default_29 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_output_dense_bias, aten_view_copy_default_78, aten_permute_copy_default_21) {} 2025-06-05T19:09:23.8969650Z call_function aten_view_copy_default_79 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_29, [1, 8, 128]) {} 2025-06-05T19:09:23.8970140Z call_function aten_add_tensor_29 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_79, aten_add_tensor_28) {} 2025-06-05T19:09:23.8970660Z call_function aten_mul_tensor_16 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_29, p_encoder_layer_1_output_layernorm_weight) {} 2025-06-05T19:09:23.8971190Z call_function aten_add_tensor_30 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_16, p_encoder_layer_1_output_layernorm_bias) {} 2025-06-05T19:09:23.8971650Z call_function aten_view_copy_default_80 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_30, [8, 128]) {} 2025-06-05T19:09:23.8972300Z call_function aten_addmm_default_30 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_1_output_bottleneck_dense_bias, aten_view_copy_default_80, aten_permute_copy_default_20) {} 2025-06-05T19:09:23.8972760Z call_function aten_view_copy_default_81 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_30, [1, 8, 512]) {} 2025-06-05T19:09:23.8973280Z call_function aten_clone_default_6 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_81,) {} 2025-06-05T19:09:23.8973770Z call_function aten_add_tensor_31 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_6, aten_add_tensor_17) {} 2025-06-05T19:09:23.8974280Z call_function aten_mul_tensor_17 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_31, p_encoder_layer_1_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.8974830Z call_function aten_add_tensor_32 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_17, p_encoder_layer_1_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.8975280Z call_function aten_view_copy_default_82 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_32, [8, 512]) {} 2025-06-05T19:09:23.8975750Z call_function aten_view_copy_default_83 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_32, [8, 512]) {} 2025-06-05T19:09:23.8976200Z call_function aten_view_copy_default_84 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_32, [8, 512]) {} 2025-06-05T19:09:23.8976840Z call_function aten_addmm_default_31 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_bottleneck_input_dense_bias, aten_view_copy_default_82, aten_permute_copy_default_37) {} 2025-06-05T19:09:23.8977510Z call_function aten_addmm_default_32 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_bottleneck_attention_dense_bias, aten_view_copy_default_83, aten_permute_copy_default_38) {} 2025-06-05T19:09:23.8978110Z call_function aten_addmm_default_33 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_attention_self_value_bias, aten_view_copy_default_84, aten_permute_copy_default_34) {} 2025-06-05T19:09:23.8978590Z call_function aten_view_copy_default_85 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_31, [1, 8, 128]) {} 2025-06-05T19:09:23.8979050Z call_function aten_view_copy_default_86 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_32, [1, 8, 128]) {} 2025-06-05T19:09:23.8979510Z call_function aten_view_copy_default_87 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_33, [1, 8, 128]) {} 2025-06-05T19:09:23.8980020Z call_function aten_mul_tensor_18 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_85, p_encoder_layer_2_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.8980540Z call_function aten_mul_tensor_19 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_86, p_encoder_layer_2_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.8981020Z call_function aten_view_copy_default_88 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_87, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8981570Z call_function aten_add_tensor_33 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_18, p_encoder_layer_2_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.8982140Z call_function aten_add_tensor_34 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_19, p_encoder_layer_2_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.8982670Z call_function aten_permute_copy_default_371 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_88, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8983120Z call_function aten_view_copy_default_89 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_34, [8, 128]) {} 2025-06-05T19:09:23.8983590Z call_function aten_view_copy_default_90 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_34, [8, 128]) {} 2025-06-05T19:09:23.8984130Z call_function aten_expand_copy_default_8 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_371, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8984730Z call_function aten_addmm_default_34 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_attention_self_query_bias, aten_view_copy_default_89, aten_permute_copy_default_32) {} 2025-06-05T19:09:23.8985350Z call_function aten_addmm_default_35 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_attention_self_key_bias, aten_view_copy_default_90, aten_permute_copy_default_33) {} 2025-06-05T19:09:23.8985810Z call_function aten_view_copy_default_91 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_8, [4, 8, 32]) {} 2025-06-05T19:09:23.8986300Z call_function aten_view_copy_default_92 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_34, [1, 8, 128]) {} 2025-06-05T19:09:23.8986760Z call_function aten_view_copy_default_93 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_35, [1, 8, 128]) {} 2025-06-05T19:09:23.8987240Z call_function aten_view_copy_default_94 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_92, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8987750Z call_function aten_view_copy_default_95 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_93, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.8988230Z call_function aten_permute_copy_default_372 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_94, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8988730Z call_function aten_permute_copy_default_373 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_95, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8989270Z call_function aten_expand_copy_default_9 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_372, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8989760Z call_function aten_permute_copy_default_374 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_373, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.8990220Z call_function aten_view_copy_default_96 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_9, [4, 8, 32]) {} 2025-06-05T19:09:23.8990760Z call_function aten_expand_copy_default_10 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_374, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.8991240Z call_function aten_view_copy_default_97 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_10, [4, 32, 8]) {} 2025-06-05T19:09:23.8991710Z call_function aten_bmm_default_4 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_96, aten_view_copy_default_97) {} 2025-06-05T19:09:23.8992180Z call_function aten_view_copy_default_98 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_4, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8992710Z call_function aten_div_tensor_2 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_98, _lifted_tensor_constant5) {} 2025-06-05T19:09:23.8993190Z call_function aten_add_tensor_35 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_2, aten_mul_tensor) {} 2025-06-05T19:09:23.8993730Z call_function aten__softmax_default_2 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_35, -1, False) {} 2025-06-05T19:09:23.8994220Z call_function aten_clone_default_7 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_2,) {} 2025-06-05T19:09:23.8994740Z call_function aten_expand_copy_default_11 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_7, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.8995210Z call_function aten_view_copy_default_99 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_11, [4, 8, 8]) {} 2025-06-05T19:09:23.8995670Z call_function aten_bmm_default_5 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_99, aten_view_copy_default_91) {} 2025-06-05T19:09:23.8996140Z call_function aten_view_copy_default_100 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_5, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.8996650Z call_function aten_permute_copy_default_375 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_100, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.8997170Z call_function aten_clone_default_8 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_375,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.8997690Z call_function aten_view_copy_default_101 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_8, [1, 8, 128]) {} 2025-06-05T19:09:23.8998150Z call_function aten_view_copy_default_102 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_101, [8, 128]) {} 2025-06-05T19:09:23.8998790Z call_function aten_addmm_default_36 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_attention_output_dense_bias, aten_view_copy_default_102, aten_permute_copy_default_31) {} 2025-06-05T19:09:23.8999250Z call_function aten_view_copy_default_103 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_36, [1, 8, 128]) {} 2025-06-05T19:09:23.8999750Z call_function aten_add_tensor_36 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_103, aten_add_tensor_33) {} 2025-06-05T19:09:23.9000260Z call_function aten_mul_tensor_20 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_36, p_encoder_layer_2_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9000790Z call_function aten_add_tensor_37 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_20, p_encoder_layer_2_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9001270Z call_function aten_view_copy_default_104 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_37, [8, 128]) {} 2025-06-05T19:09:23.9001900Z call_function aten_addmm_default_37 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_0_intermediate_dense_bias, aten_view_copy_default_104, aten_permute_copy_default_40) {} 2025-06-05T19:09:23.9002360Z call_function aten_view_copy_default_105 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_37, [1, 8, 512]) {} 2025-06-05T19:09:23.9002820Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_105,) {} 2025-06-05T19:09:23.9003270Z call_function aten_view_copy_default_106 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_8, [8, 512]) {} 2025-06-05T19:09:23.9003890Z call_function aten_addmm_default_38 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_0_output_dense_bias, aten_view_copy_default_106, aten_permute_copy_default_39) {} 2025-06-05T19:09:23.9004350Z call_function aten_view_copy_default_107 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_38, [1, 8, 128]) {} 2025-06-05T19:09:23.9004850Z call_function aten_add_tensor_38 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_107, aten_add_tensor_37) {} 2025-06-05T19:09:23.9005350Z call_function aten_mul_tensor_21 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_38, p_encoder_layer_2_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9005870Z call_function aten_add_tensor_39 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_21, p_encoder_layer_2_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9006370Z call_function aten_view_copy_default_108 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_39, [8, 128]) {} 2025-06-05T19:09:23.9007000Z call_function aten_addmm_default_39 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_1_intermediate_dense_bias, aten_view_copy_default_108, aten_permute_copy_default_42) {} 2025-06-05T19:09:23.9007450Z call_function aten_view_copy_default_109 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_39, [1, 8, 512]) {} 2025-06-05T19:09:23.9007920Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_109,) {} 2025-06-05T19:09:23.9008370Z call_function aten_view_copy_default_110 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_9, [8, 512]) {} 2025-06-05T19:09:23.9008990Z call_function aten_addmm_default_40 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_1_output_dense_bias, aten_view_copy_default_110, aten_permute_copy_default_41) {} 2025-06-05T19:09:23.9009440Z call_function aten_view_copy_default_111 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_40, [1, 8, 128]) {} 2025-06-05T19:09:23.9009940Z call_function aten_add_tensor_40 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_111, aten_add_tensor_39) {} 2025-06-05T19:09:23.9010440Z call_function aten_mul_tensor_22 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_40, p_encoder_layer_2_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9010970Z call_function aten_add_tensor_41 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_22, p_encoder_layer_2_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9011450Z call_function aten_view_copy_default_112 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_41, [8, 128]) {} 2025-06-05T19:09:23.9012070Z call_function aten_addmm_default_41 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_2_intermediate_dense_bias, aten_view_copy_default_112, aten_permute_copy_default_44) {} 2025-06-05T19:09:23.9012530Z call_function aten_view_copy_default_113 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_41, [1, 8, 512]) {} 2025-06-05T19:09:23.9012980Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_113,) {} 2025-06-05T19:09:23.9013430Z call_function aten_view_copy_default_114 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_10, [8, 512]) {} 2025-06-05T19:09:23.9014070Z call_function aten_addmm_default_42 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_ffn_2_output_dense_bias, aten_view_copy_default_114, aten_permute_copy_default_43) {} 2025-06-05T19:09:23.9014520Z call_function aten_view_copy_default_115 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_42, [1, 8, 128]) {} 2025-06-05T19:09:23.9015020Z call_function aten_add_tensor_42 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_115, aten_add_tensor_41) {} 2025-06-05T19:09:23.9015520Z call_function aten_mul_tensor_23 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_42, p_encoder_layer_2_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9016050Z call_function aten_add_tensor_43 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_23, p_encoder_layer_2_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9016530Z call_function aten_view_copy_default_116 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_43, [8, 128]) {} 2025-06-05T19:09:23.9017160Z call_function aten_addmm_default_43 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_intermediate_dense_bias, aten_view_copy_default_116, aten_permute_copy_default_45) {} 2025-06-05T19:09:23.9017620Z call_function aten_view_copy_default_117 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_43, [1, 8, 512]) {} 2025-06-05T19:09:23.9018110Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_117,) {} 2025-06-05T19:09:23.9018570Z call_function aten_view_copy_default_118 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_11, [8, 512]) {} 2025-06-05T19:09:23.9019190Z call_function aten_addmm_default_44 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_output_dense_bias, aten_view_copy_default_118, aten_permute_copy_default_36) {} 2025-06-05T19:09:23.9019640Z call_function aten_view_copy_default_119 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_44, [1, 8, 128]) {} 2025-06-05T19:09:23.9020140Z call_function aten_add_tensor_44 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_119, aten_add_tensor_43) {} 2025-06-05T19:09:23.9020640Z call_function aten_mul_tensor_24 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_44, p_encoder_layer_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9021170Z call_function aten_add_tensor_45 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_24, p_encoder_layer_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9021630Z call_function aten_view_copy_default_120 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_45, [8, 128]) {} 2025-06-05T19:09:23.9022250Z call_function aten_addmm_default_45 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_2_output_bottleneck_dense_bias, aten_view_copy_default_120, aten_permute_copy_default_35) {} 2025-06-05T19:09:23.9022760Z call_function aten_view_copy_default_121 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_45, [1, 8, 512]) {} 2025-06-05T19:09:23.9023250Z call_function aten_clone_default_9 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_121,) {} 2025-06-05T19:09:23.9023740Z call_function aten_add_tensor_46 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_9, aten_add_tensor_32) {} 2025-06-05T19:09:23.9024270Z call_function aten_mul_tensor_25 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_46, p_encoder_layer_2_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9024810Z call_function aten_add_tensor_47 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_25, p_encoder_layer_2_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9025260Z call_function aten_view_copy_default_122 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_47, [8, 512]) {} 2025-06-05T19:09:23.9025710Z call_function aten_view_copy_default_123 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_47, [8, 512]) {} 2025-06-05T19:09:23.9026230Z call_function aten_view_copy_default_124 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_47, [8, 512]) {} 2025-06-05T19:09:23.9026840Z call_function aten_addmm_default_46 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_bottleneck_input_dense_bias, aten_view_copy_default_122, aten_permute_copy_default_52) {} 2025-06-05T19:09:23.9027470Z call_function aten_addmm_default_47 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_bottleneck_attention_dense_bias, aten_view_copy_default_123, aten_permute_copy_default_53) {} 2025-06-05T19:09:23.9028120Z call_function aten_addmm_default_48 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_attention_self_value_bias, aten_view_copy_default_124, aten_permute_copy_default_49) {} 2025-06-05T19:09:23.9028570Z call_function aten_view_copy_default_125 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_46, [1, 8, 128]) {} 2025-06-05T19:09:23.9029030Z call_function aten_view_copy_default_126 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_47, [1, 8, 128]) {} 2025-06-05T19:09:23.9029510Z call_function aten_view_copy_default_127 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_48, [1, 8, 128]) {} 2025-06-05T19:09:23.9030030Z call_function aten_mul_tensor_26 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_125, p_encoder_layer_3_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9030550Z call_function aten_mul_tensor_27 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_126, p_encoder_layer_3_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9031010Z call_function aten_view_copy_default_128 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_127, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9031570Z call_function aten_add_tensor_48 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_26, p_encoder_layer_3_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9032120Z call_function aten_add_tensor_49 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_27, p_encoder_layer_3_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9032630Z call_function aten_permute_copy_default_376 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_128, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9033150Z call_function aten_view_copy_default_129 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_49, [8, 128]) {} 2025-06-05T19:09:23.9033600Z call_function aten_view_copy_default_130 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_49, [8, 128]) {} 2025-06-05T19:09:23.9034140Z call_function aten_expand_copy_default_12 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_376, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9034800Z call_function aten_addmm_default_49 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_attention_self_query_bias, aten_view_copy_default_129, aten_permute_copy_default_47) {} 2025-06-05T19:09:23.9035410Z call_function aten_addmm_default_50 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_attention_self_key_bias, aten_view_copy_default_130, aten_permute_copy_default_48) {} 2025-06-05T19:09:23.9035920Z call_function aten_view_copy_default_131 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_12, [4, 8, 32]) {} 2025-06-05T19:09:23.9036380Z call_function aten_view_copy_default_132 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_49, [1, 8, 128]) {} 2025-06-05T19:09:23.9036850Z call_function aten_view_copy_default_133 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_50, [1, 8, 128]) {} 2025-06-05T19:09:23.9037320Z call_function aten_view_copy_default_134 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_132, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9037820Z call_function aten_view_copy_default_135 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_133, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9038380Z call_function aten_permute_copy_default_377 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_134, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9038860Z call_function aten_permute_copy_default_378 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_135, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9039420Z call_function aten_expand_copy_default_13 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_377, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9039910Z call_function aten_permute_copy_default_379 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_378, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9040380Z call_function aten_view_copy_default_136 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_13, [4, 8, 32]) {} 2025-06-05T19:09:23.9040920Z call_function aten_expand_copy_default_14 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_379, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9041380Z call_function aten_view_copy_default_137 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_14, [4, 32, 8]) {} 2025-06-05T19:09:23.9041870Z call_function aten_bmm_default_6 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_136, aten_view_copy_default_137) {} 2025-06-05T19:09:23.9042310Z call_function aten_view_copy_default_138 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_6, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9042820Z call_function aten_div_tensor_3 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_138, _lifted_tensor_constant6) {} 2025-06-05T19:09:23.9043340Z call_function aten_add_tensor_50 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_3, aten_mul_tensor) {} 2025-06-05T19:09:23.9043830Z call_function aten__softmax_default_3 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_50, -1, False) {} 2025-06-05T19:09:23.9044330Z call_function aten_clone_default_10 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_3,) {} 2025-06-05T19:09:23.9044850Z call_function aten_expand_copy_default_15 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_10, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9045320Z call_function aten_view_copy_default_139 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_15, [4, 8, 8]) {} 2025-06-05T19:09:23.9045780Z call_function aten_bmm_default_7 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_139, aten_view_copy_default_131) {} 2025-06-05T19:09:23.9046230Z call_function aten_view_copy_default_140 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_7, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9046740Z call_function aten_permute_copy_default_380 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_140, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9047270Z call_function aten_clone_default_11 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_380,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9047750Z call_function aten_view_copy_default_141 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_11, [1, 8, 128]) {} 2025-06-05T19:09:23.9048260Z call_function aten_view_copy_default_142 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_141, [8, 128]) {} 2025-06-05T19:09:23.9048870Z call_function aten_addmm_default_51 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_attention_output_dense_bias, aten_view_copy_default_142, aten_permute_copy_default_46) {} 2025-06-05T19:09:23.9049340Z call_function aten_view_copy_default_143 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_51, [1, 8, 128]) {} 2025-06-05T19:09:23.9049840Z call_function aten_add_tensor_51 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_143, aten_add_tensor_48) {} 2025-06-05T19:09:23.9050350Z call_function aten_mul_tensor_28 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_51, p_encoder_layer_3_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9050890Z call_function aten_add_tensor_52 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_28, p_encoder_layer_3_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9051340Z call_function aten_view_copy_default_144 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_52, [8, 128]) {} 2025-06-05T19:09:23.9051970Z call_function aten_addmm_default_52 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_0_intermediate_dense_bias, aten_view_copy_default_144, aten_permute_copy_default_55) {} 2025-06-05T19:09:23.9052430Z call_function aten_view_copy_default_145 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_52, [1, 8, 512]) {} 2025-06-05T19:09:23.9052850Z call_function aten_relu_default_12 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_145,) {} 2025-06-05T19:09:23.9053350Z call_function aten_view_copy_default_146 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_12, [8, 512]) {} 2025-06-05T19:09:23.9053950Z call_function aten_addmm_default_53 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_0_output_dense_bias, aten_view_copy_default_146, aten_permute_copy_default_54) {} 2025-06-05T19:09:23.9054440Z call_function aten_view_copy_default_147 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_53, [1, 8, 128]) {} 2025-06-05T19:09:23.9054940Z call_function aten_add_tensor_53 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_147, aten_add_tensor_52) {} 2025-06-05T19:09:23.9055440Z call_function aten_mul_tensor_29 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_53, p_encoder_layer_3_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9055970Z call_function aten_add_tensor_54 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_29, p_encoder_layer_3_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9056420Z call_function aten_view_copy_default_148 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_54, [8, 128]) {} 2025-06-05T19:09:23.9057050Z call_function aten_addmm_default_54 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_1_intermediate_dense_bias, aten_view_copy_default_148, aten_permute_copy_default_57) {} 2025-06-05T19:09:23.9057500Z call_function aten_view_copy_default_149 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_54, [1, 8, 512]) {} 2025-06-05T19:09:23.9057940Z call_function aten_relu_default_13 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_149,) {} 2025-06-05T19:09:23.9058450Z call_function aten_view_copy_default_150 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_13, [8, 512]) {} 2025-06-05T19:09:23.9059050Z call_function aten_addmm_default_55 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_1_output_dense_bias, aten_view_copy_default_150, aten_permute_copy_default_56) {} 2025-06-05T19:09:23.9059530Z call_function aten_view_copy_default_151 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_55, [1, 8, 128]) {} 2025-06-05T19:09:23.9060030Z call_function aten_add_tensor_55 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_151, aten_add_tensor_54) {} 2025-06-05T19:09:23.9060540Z call_function aten_mul_tensor_30 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_55, p_encoder_layer_3_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9061060Z call_function aten_add_tensor_56 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_30, p_encoder_layer_3_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9061520Z call_function aten_view_copy_default_152 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_56, [8, 128]) {} 2025-06-05T19:09:23.9062140Z call_function aten_addmm_default_56 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_2_intermediate_dense_bias, aten_view_copy_default_152, aten_permute_copy_default_59) {} 2025-06-05T19:09:23.9062600Z call_function aten_view_copy_default_153 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_56, [1, 8, 512]) {} 2025-06-05T19:09:23.9063030Z call_function aten_relu_default_14 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_153,) {} 2025-06-05T19:09:23.9063530Z call_function aten_view_copy_default_154 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_14, [8, 512]) {} 2025-06-05T19:09:23.9064130Z call_function aten_addmm_default_57 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_ffn_2_output_dense_bias, aten_view_copy_default_154, aten_permute_copy_default_58) {} 2025-06-05T19:09:23.9064610Z call_function aten_view_copy_default_155 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_57, [1, 8, 128]) {} 2025-06-05T19:09:23.9065110Z call_function aten_add_tensor_57 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_155, aten_add_tensor_56) {} 2025-06-05T19:09:23.9065610Z call_function aten_mul_tensor_31 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_57, p_encoder_layer_3_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9066140Z call_function aten_add_tensor_58 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_31, p_encoder_layer_3_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9066590Z call_function aten_view_copy_default_156 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_58, [8, 128]) {} 2025-06-05T19:09:23.9067230Z call_function aten_addmm_default_58 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_intermediate_dense_bias, aten_view_copy_default_156, aten_permute_copy_default_60) {} 2025-06-05T19:09:23.9067710Z call_function aten_view_copy_default_157 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_58, [1, 8, 512]) {} 2025-06-05T19:09:23.9068120Z call_function aten_relu_default_15 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_157,) {} 2025-06-05T19:09:23.9068620Z call_function aten_view_copy_default_158 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_15, [8, 512]) {} 2025-06-05T19:09:23.9069220Z call_function aten_addmm_default_59 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_output_dense_bias, aten_view_copy_default_158, aten_permute_copy_default_51) {} 2025-06-05T19:09:23.9069700Z call_function aten_view_copy_default_159 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_59, [1, 8, 128]) {} 2025-06-05T19:09:23.9070200Z call_function aten_add_tensor_59 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_159, aten_add_tensor_58) {} 2025-06-05T19:09:23.9070700Z call_function aten_mul_tensor_32 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_59, p_encoder_layer_3_output_layernorm_weight) {} 2025-06-05T19:09:23.9071230Z call_function aten_add_tensor_60 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_32, p_encoder_layer_3_output_layernorm_bias) {} 2025-06-05T19:09:23.9071680Z call_function aten_view_copy_default_160 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_60, [8, 128]) {} 2025-06-05T19:09:23.9072310Z call_function aten_addmm_default_60 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_3_output_bottleneck_dense_bias, aten_view_copy_default_160, aten_permute_copy_default_50) {} 2025-06-05T19:09:23.9072790Z call_function aten_view_copy_default_161 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_60, [1, 8, 512]) {} 2025-06-05T19:09:23.9073280Z call_function aten_clone_default_12 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_161,) {} 2025-06-05T19:09:23.9073820Z call_function aten_add_tensor_61 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_12, aten_add_tensor_47) {} 2025-06-05T19:09:23.9074330Z call_function aten_mul_tensor_33 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_61, p_encoder_layer_3_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9074940Z call_function aten_add_tensor_62 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_33, p_encoder_layer_3_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9075390Z call_function aten_view_copy_default_162 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_62, [8, 512]) {} 2025-06-05T19:09:23.9075840Z call_function aten_view_copy_default_163 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_62, [8, 512]) {} 2025-06-05T19:09:23.9076290Z call_function aten_view_copy_default_164 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_62, [8, 512]) {} 2025-06-05T19:09:23.9076900Z call_function aten_addmm_default_61 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_bottleneck_input_dense_bias, aten_view_copy_default_162, aten_permute_copy_default_67) {} 2025-06-05T19:09:23.9077540Z call_function aten_addmm_default_62 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_bottleneck_attention_dense_bias, aten_view_copy_default_163, aten_permute_copy_default_68) {} 2025-06-05T19:09:23.9078170Z call_function aten_addmm_default_63 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_attention_self_value_bias, aten_view_copy_default_164, aten_permute_copy_default_64) {} 2025-06-05T19:09:23.9078630Z call_function aten_view_copy_default_165 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_61, [1, 8, 128]) {} 2025-06-05T19:09:23.9079140Z call_function aten_view_copy_default_166 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_62, [1, 8, 128]) {} 2025-06-05T19:09:23.9079600Z call_function aten_view_copy_default_167 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_63, [1, 8, 128]) {} 2025-06-05T19:09:23.9080150Z call_function aten_mul_tensor_34 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_165, p_encoder_layer_4_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9084540Z call_function aten_mul_tensor_35 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_166, p_encoder_layer_4_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9085020Z call_function aten_view_copy_default_168 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_167, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9085570Z call_function aten_add_tensor_63 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_34, p_encoder_layer_4_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9086110Z call_function aten_add_tensor_64 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_35, p_encoder_layer_4_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9086640Z call_function aten_permute_copy_default_381 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_168, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9087120Z call_function aten_view_copy_default_169 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_64, [8, 128]) {} 2025-06-05T19:09:23.9087570Z call_function aten_view_copy_default_170 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_64, [8, 128]) {} 2025-06-05T19:09:23.9088160Z call_function aten_expand_copy_default_16 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_381, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9088780Z call_function aten_addmm_default_64 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_attention_self_query_bias, aten_view_copy_default_169, aten_permute_copy_default_62) {} 2025-06-05T19:09:23.9089400Z call_function aten_addmm_default_65 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_attention_self_key_bias, aten_view_copy_default_170, aten_permute_copy_default_63) {} 2025-06-05T19:09:23.9089870Z call_function aten_view_copy_default_171 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_16, [4, 8, 32]) {} 2025-06-05T19:09:23.9090330Z call_function aten_view_copy_default_172 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_64, [1, 8, 128]) {} 2025-06-05T19:09:23.9090780Z call_function aten_view_copy_default_173 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_65, [1, 8, 128]) {} 2025-06-05T19:09:23.9091240Z call_function aten_view_copy_default_174 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_172, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9091740Z call_function aten_view_copy_default_175 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_173, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9092260Z call_function aten_permute_copy_default_382 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_174, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9092750Z call_function aten_permute_copy_default_383 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_175, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9093340Z call_function aten_expand_copy_default_17 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_382, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9093830Z call_function aten_permute_copy_default_384 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_383, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9094320Z call_function aten_view_copy_default_176 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_17, [4, 8, 32]) {} 2025-06-05T19:09:23.9094860Z call_function aten_expand_copy_default_18 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_384, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9095340Z call_function aten_view_copy_default_177 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_18, [4, 32, 8]) {} 2025-06-05T19:09:23.9095810Z call_function aten_bmm_default_8 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_176, aten_view_copy_default_177) {} 2025-06-05T19:09:23.9096250Z call_function aten_view_copy_default_178 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_8, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9096760Z call_function aten_div_tensor_4 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_178, _lifted_tensor_constant7) {} 2025-06-05T19:09:23.9097260Z call_function aten_add_tensor_65 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_4, aten_mul_tensor) {} 2025-06-05T19:09:23.9097740Z call_function aten__softmax_default_4 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_65, -1, False) {} 2025-06-05T19:09:23.9098260Z call_function aten_clone_default_13 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_4,) {} 2025-06-05T19:09:23.9098780Z call_function aten_expand_copy_default_19 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_13, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9099280Z call_function aten_view_copy_default_179 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_19, [4, 8, 8]) {} 2025-06-05T19:09:23.9099750Z call_function aten_bmm_default_9 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_179, aten_view_copy_default_171) {} 2025-06-05T19:09:23.9100200Z call_function aten_view_copy_default_180 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_9, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9100680Z call_function aten_permute_copy_default_385 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_180, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9101220Z call_function aten_clone_default_14 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_385,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9101680Z call_function aten_view_copy_default_181 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_14, [1, 8, 128]) {} 2025-06-05T19:09:23.9102180Z call_function aten_view_copy_default_182 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_181, [8, 128]) {} 2025-06-05T19:09:23.9102850Z call_function aten_addmm_default_66 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_attention_output_dense_bias, aten_view_copy_default_182, aten_permute_copy_default_61) {} 2025-06-05T19:09:23.9103310Z call_function aten_view_copy_default_183 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_66, [1, 8, 128]) {} 2025-06-05T19:09:23.9103810Z call_function aten_add_tensor_66 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_183, aten_add_tensor_63) {} 2025-06-05T19:09:23.9104350Z call_function aten_mul_tensor_36 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_66, p_encoder_layer_4_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9104890Z call_function aten_add_tensor_67 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_36, p_encoder_layer_4_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9105340Z call_function aten_view_copy_default_184 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_67, [8, 128]) {} 2025-06-05T19:09:23.9105950Z call_function aten_addmm_default_67 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_0_intermediate_dense_bias, aten_view_copy_default_184, aten_permute_copy_default_70) {} 2025-06-05T19:09:23.9106420Z call_function aten_view_copy_default_185 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_67, [1, 8, 512]) {} 2025-06-05T19:09:23.9106840Z call_function aten_relu_default_16 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_185,) {} 2025-06-05T19:09:23.9107310Z call_function aten_view_copy_default_186 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_16, [8, 512]) {} 2025-06-05T19:09:23.9107960Z call_function aten_addmm_default_68 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_0_output_dense_bias, aten_view_copy_default_186, aten_permute_copy_default_69) {} 2025-06-05T19:09:23.9108420Z call_function aten_view_copy_default_187 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_68, [1, 8, 128]) {} 2025-06-05T19:09:23.9108940Z call_function aten_add_tensor_68 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_187, aten_add_tensor_67) {} 2025-06-05T19:09:23.9109450Z call_function aten_mul_tensor_37 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_68, p_encoder_layer_4_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9109980Z call_function aten_add_tensor_69 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_37, p_encoder_layer_4_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9110430Z call_function aten_view_copy_default_188 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_69, [8, 128]) {} 2025-06-05T19:09:23.9111040Z call_function aten_addmm_default_69 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_1_intermediate_dense_bias, aten_view_copy_default_188, aten_permute_copy_default_72) {} 2025-06-05T19:09:23.9111530Z call_function aten_view_copy_default_189 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_69, [1, 8, 512]) {} 2025-06-05T19:09:23.9111940Z call_function aten_relu_default_17 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_189,) {} 2025-06-05T19:09:23.9112420Z call_function aten_view_copy_default_190 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_17, [8, 512]) {} 2025-06-05T19:09:23.9113070Z call_function aten_addmm_default_70 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_1_output_dense_bias, aten_view_copy_default_190, aten_permute_copy_default_71) {} 2025-06-05T19:09:23.9113540Z call_function aten_view_copy_default_191 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_70, [1, 8, 128]) {} 2025-06-05T19:09:23.9114060Z call_function aten_add_tensor_70 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_191, aten_add_tensor_69) {} 2025-06-05T19:09:23.9114570Z call_function aten_mul_tensor_38 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_70, p_encoder_layer_4_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9115100Z call_function aten_add_tensor_71 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_38, p_encoder_layer_4_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9115560Z call_function aten_view_copy_default_192 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_71, [8, 128]) {} 2025-06-05T19:09:23.9116160Z call_function aten_addmm_default_71 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_2_intermediate_dense_bias, aten_view_copy_default_192, aten_permute_copy_default_74) {} 2025-06-05T19:09:23.9116640Z call_function aten_view_copy_default_193 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_71, [1, 8, 512]) {} 2025-06-05T19:09:23.9117050Z call_function aten_relu_default_18 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_193,) {} 2025-06-05T19:09:23.9117520Z call_function aten_view_copy_default_194 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_18, [8, 512]) {} 2025-06-05T19:09:23.9118170Z call_function aten_addmm_default_72 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_ffn_2_output_dense_bias, aten_view_copy_default_194, aten_permute_copy_default_73) {} 2025-06-05T19:09:23.9118620Z call_function aten_view_copy_default_195 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_72, [1, 8, 128]) {} 2025-06-05T19:09:23.9119160Z call_function aten_add_tensor_72 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_195, aten_add_tensor_71) {} 2025-06-05T19:09:23.9119670Z call_function aten_mul_tensor_39 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_72, p_encoder_layer_4_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9120200Z call_function aten_add_tensor_73 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_39, p_encoder_layer_4_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9120650Z call_function aten_view_copy_default_196 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_73, [8, 128]) {} 2025-06-05T19:09:23.9121260Z call_function aten_addmm_default_73 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_intermediate_dense_bias, aten_view_copy_default_196, aten_permute_copy_default_75) {} 2025-06-05T19:09:23.9121740Z call_function aten_view_copy_default_197 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_73, [1, 8, 512]) {} 2025-06-05T19:09:23.9122150Z call_function aten_relu_default_19 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_197,) {} 2025-06-05T19:09:23.9122640Z call_function aten_view_copy_default_198 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_19, [8, 512]) {} 2025-06-05T19:09:23.9123300Z call_function aten_addmm_default_74 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_output_dense_bias, aten_view_copy_default_198, aten_permute_copy_default_66) {} 2025-06-05T19:09:23.9123760Z call_function aten_view_copy_default_199 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_74, [1, 8, 128]) {} 2025-06-05T19:09:23.9124280Z call_function aten_add_tensor_74 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_199, aten_add_tensor_73) {} 2025-06-05T19:09:23.9124780Z call_function aten_mul_tensor_40 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_74, p_encoder_layer_4_output_layernorm_weight) {} 2025-06-05T19:09:23.9125300Z call_function aten_add_tensor_75 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_40, p_encoder_layer_4_output_layernorm_bias) {} 2025-06-05T19:09:23.9125760Z call_function aten_view_copy_default_200 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_75, [8, 128]) {} 2025-06-05T19:09:23.9126370Z call_function aten_addmm_default_75 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_4_output_bottleneck_dense_bias, aten_view_copy_default_200, aten_permute_copy_default_65) {} 2025-06-05T19:09:23.9126850Z call_function aten_view_copy_default_201 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_75, [1, 8, 512]) {} 2025-06-05T19:09:23.9127340Z call_function aten_clone_default_15 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_201,) {} 2025-06-05T19:09:23.9127850Z call_function aten_add_tensor_76 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_15, aten_add_tensor_62) {} 2025-06-05T19:09:23.9128410Z call_function aten_mul_tensor_41 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_76, p_encoder_layer_4_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9128950Z call_function aten_add_tensor_77 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_41, p_encoder_layer_4_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9129430Z call_function aten_view_copy_default_202 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_77, [8, 512]) {} 2025-06-05T19:09:23.9129880Z call_function aten_view_copy_default_203 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_77, [8, 512]) {} 2025-06-05T19:09:23.9130330Z call_function aten_view_copy_default_204 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_77, [8, 512]) {} 2025-06-05T19:09:23.9130940Z call_function aten_addmm_default_76 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_bottleneck_input_dense_bias, aten_view_copy_default_202, aten_permute_copy_default_82) {} 2025-06-05T19:09:23.9131550Z call_function aten_addmm_default_77 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_bottleneck_attention_dense_bias, aten_view_copy_default_203, aten_permute_copy_default_83) {} 2025-06-05T19:09:23.9132180Z call_function aten_addmm_default_78 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_attention_self_value_bias, aten_view_copy_default_204, aten_permute_copy_default_79) {} 2025-06-05T19:09:23.9132650Z call_function aten_view_copy_default_205 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_76, [1, 8, 128]) {} 2025-06-05T19:09:23.9133120Z call_function aten_view_copy_default_206 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_77, [1, 8, 128]) {} 2025-06-05T19:09:23.9133630Z call_function aten_view_copy_default_207 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_78, [1, 8, 128]) {} 2025-06-05T19:09:23.9134150Z call_function aten_mul_tensor_42 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_205, p_encoder_layer_5_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9134690Z call_function aten_mul_tensor_43 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_206, p_encoder_layer_5_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9135160Z call_function aten_view_copy_default_208 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_207, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9135710Z call_function aten_add_tensor_78 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_42, p_encoder_layer_5_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9136260Z call_function aten_add_tensor_79 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_43, p_encoder_layer_5_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9136740Z call_function aten_permute_copy_default_386 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_208, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9137210Z call_function aten_view_copy_default_209 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_79, [8, 128]) {} 2025-06-05T19:09:23.9137680Z call_function aten_view_copy_default_210 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_79, [8, 128]) {} 2025-06-05T19:09:23.9138230Z call_function aten_expand_copy_default_20 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_386, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9138880Z call_function aten_addmm_default_79 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_attention_self_query_bias, aten_view_copy_default_209, aten_permute_copy_default_77) {} 2025-06-05T19:09:23.9139490Z call_function aten_addmm_default_80 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_attention_self_key_bias, aten_view_copy_default_210, aten_permute_copy_default_78) {} 2025-06-05T19:09:23.9139990Z call_function aten_view_copy_default_211 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_20, [4, 8, 32]) {} 2025-06-05T19:09:23.9140450Z call_function aten_view_copy_default_212 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_79, [1, 8, 128]) {} 2025-06-05T19:09:23.9140910Z call_function aten_view_copy_default_213 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_80, [1, 8, 128]) {} 2025-06-05T19:09:23.9141380Z call_function aten_view_copy_default_214 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_212, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9141840Z call_function aten_view_copy_default_215 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_213, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9142340Z call_function aten_permute_copy_default_387 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_214, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9142820Z call_function aten_permute_copy_default_388 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_215, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9143400Z call_function aten_expand_copy_default_21 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_387, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9143940Z call_function aten_permute_copy_default_389 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_388, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9144410Z call_function aten_view_copy_default_216 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_21, [4, 8, 32]) {} 2025-06-05T19:09:23.9144980Z call_function aten_expand_copy_default_22 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_389, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9145440Z call_function aten_view_copy_default_217 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_22, [4, 32, 8]) {} 2025-06-05T19:09:23.9145910Z call_function aten_bmm_default_10 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_216, aten_view_copy_default_217) {} 2025-06-05T19:09:23.9146370Z call_function aten_view_copy_default_218 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_10, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9146850Z call_function aten_div_tensor_5 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_218, _lifted_tensor_constant8) {} 2025-06-05T19:09:23.9147350Z call_function aten_add_tensor_80 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_5, aten_mul_tensor) {} 2025-06-05T19:09:23.9147860Z call_function aten__softmax_default_5 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_80, -1, False) {} 2025-06-05T19:09:23.9148350Z call_function aten_clone_default_16 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_5,) {} 2025-06-05T19:09:23.9148910Z call_function aten_expand_copy_default_23 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_16, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9149380Z call_function aten_view_copy_default_219 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_23, [4, 8, 8]) {} 2025-06-05T19:09:23.9149870Z call_function aten_bmm_default_11 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_219, aten_view_copy_default_211) {} 2025-06-05T19:09:23.9150320Z call_function aten_view_copy_default_220 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_11, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9150790Z call_function aten_permute_copy_default_390 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_220, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9151320Z call_function aten_clone_default_17 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_390,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9151780Z call_function aten_view_copy_default_221 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_17, [1, 8, 128]) {} 2025-06-05T19:09:23.9152280Z call_function aten_view_copy_default_222 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_221, [8, 128]) {} 2025-06-05T19:09:23.9152900Z call_function aten_addmm_default_81 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_attention_output_dense_bias, aten_view_copy_default_222, aten_permute_copy_default_76) {} 2025-06-05T19:09:23.9153360Z call_function aten_view_copy_default_223 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_81, [1, 8, 128]) {} 2025-06-05T19:09:23.9153910Z call_function aten_add_tensor_81 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_223, aten_add_tensor_78) {} 2025-06-05T19:09:23.9154430Z call_function aten_mul_tensor_44 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_81, p_encoder_layer_5_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9154980Z call_function aten_add_tensor_82 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_44, p_encoder_layer_5_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9155440Z call_function aten_view_copy_default_224 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_82, [8, 128]) {} 2025-06-05T19:09:23.9156040Z call_function aten_addmm_default_82 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_0_intermediate_dense_bias, aten_view_copy_default_224, aten_permute_copy_default_85) {} 2025-06-05T19:09:23.9156500Z call_function aten_view_copy_default_225 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_82, [1, 8, 512]) {} 2025-06-05T19:09:23.9156910Z call_function aten_relu_default_20 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_225,) {} 2025-06-05T19:09:23.9157380Z call_function aten_view_copy_default_226 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_20, [8, 512]) {} 2025-06-05T19:09:23.9158010Z call_function aten_addmm_default_83 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_0_output_dense_bias, aten_view_copy_default_226, aten_permute_copy_default_84) {} 2025-06-05T19:09:23.9158470Z call_function aten_view_copy_default_227 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_83, [1, 8, 128]) {} 2025-06-05T19:09:23.9159010Z call_function aten_add_tensor_83 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_227, aten_add_tensor_82) {} 2025-06-05T19:09:23.9159510Z call_function aten_mul_tensor_45 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_83, p_encoder_layer_5_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9160120Z call_function aten_add_tensor_84 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_45, p_encoder_layer_5_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9160570Z call_function aten_view_copy_default_228 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_84, [8, 128]) {} 2025-06-05T19:09:23.9161180Z call_function aten_addmm_default_84 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_1_intermediate_dense_bias, aten_view_copy_default_228, aten_permute_copy_default_87) {} 2025-06-05T19:09:23.9161630Z call_function aten_view_copy_default_229 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_84, [1, 8, 512]) {} 2025-06-05T19:09:23.9162040Z call_function aten_relu_default_21 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_229,) {} 2025-06-05T19:09:23.9162520Z call_function aten_view_copy_default_230 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_21, [8, 512]) {} 2025-06-05T19:09:23.9163150Z call_function aten_addmm_default_85 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_1_output_dense_bias, aten_view_copy_default_230, aten_permute_copy_default_86) {} 2025-06-05T19:09:23.9163610Z call_function aten_view_copy_default_231 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_85, [1, 8, 128]) {} 2025-06-05T19:09:23.9164160Z call_function aten_add_tensor_85 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_231, aten_add_tensor_84) {} 2025-06-05T19:09:23.9164670Z call_function aten_mul_tensor_46 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_85, p_encoder_layer_5_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9165220Z call_function aten_add_tensor_86 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_46, p_encoder_layer_5_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9165670Z call_function aten_view_copy_default_232 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_86, [8, 128]) {} 2025-06-05T19:09:23.9166270Z call_function aten_addmm_default_86 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_2_intermediate_dense_bias, aten_view_copy_default_232, aten_permute_copy_default_89) {} 2025-06-05T19:09:23.9166730Z call_function aten_view_copy_default_233 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_86, [1, 8, 512]) {} 2025-06-05T19:09:23.9167130Z call_function aten_relu_default_22 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_233,) {} 2025-06-05T19:09:23.9167610Z call_function aten_view_copy_default_234 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_22, [8, 512]) {} 2025-06-05T19:09:23.9168230Z call_function aten_addmm_default_87 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_ffn_2_output_dense_bias, aten_view_copy_default_234, aten_permute_copy_default_88) {} 2025-06-05T19:09:23.9168700Z call_function aten_view_copy_default_235 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_87, [1, 8, 128]) {} 2025-06-05T19:09:23.9169250Z call_function aten_add_tensor_87 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_235, aten_add_tensor_86) {} 2025-06-05T19:09:23.9169750Z call_function aten_mul_tensor_47 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_87, p_encoder_layer_5_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9170300Z call_function aten_add_tensor_88 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_47, p_encoder_layer_5_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9170780Z call_function aten_view_copy_default_236 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_88, [8, 128]) {} 2025-06-05T19:09:23.9171380Z call_function aten_addmm_default_88 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_intermediate_dense_bias, aten_view_copy_default_236, aten_permute_copy_default_90) {} 2025-06-05T19:09:23.9171840Z call_function aten_view_copy_default_237 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_88, [1, 8, 512]) {} 2025-06-05T19:09:23.9172240Z call_function aten_relu_default_23 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_237,) {} 2025-06-05T19:09:23.9172760Z call_function aten_view_copy_default_238 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_23, [8, 512]) {} 2025-06-05T19:09:23.9173380Z call_function aten_addmm_default_89 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_output_dense_bias, aten_view_copy_default_238, aten_permute_copy_default_81) {} 2025-06-05T19:09:23.9173840Z call_function aten_view_copy_default_239 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_89, [1, 8, 128]) {} 2025-06-05T19:09:23.9174390Z call_function aten_add_tensor_89 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_239, aten_add_tensor_88) {} 2025-06-05T19:09:23.9174890Z call_function aten_mul_tensor_48 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_89, p_encoder_layer_5_output_layernorm_weight) {} 2025-06-05T19:09:23.9175430Z call_function aten_add_tensor_90 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_48, p_encoder_layer_5_output_layernorm_bias) {} 2025-06-05T19:09:23.9175880Z call_function aten_view_copy_default_240 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_90, [8, 128]) {} 2025-06-05T19:09:23.9176490Z call_function aten_addmm_default_90 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_5_output_bottleneck_dense_bias, aten_view_copy_default_240, aten_permute_copy_default_80) {} 2025-06-05T19:09:23.9176950Z call_function aten_view_copy_default_241 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_90, [1, 8, 512]) {} 2025-06-05T19:09:23.9177450Z call_function aten_clone_default_18 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_241,) {} 2025-06-05T19:09:23.9177970Z call_function aten_add_tensor_91 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_18, aten_add_tensor_77) {} 2025-06-05T19:09:23.9178510Z call_function aten_mul_tensor_49 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_91, p_encoder_layer_5_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9179090Z call_function aten_add_tensor_92 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_49, p_encoder_layer_5_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9179540Z call_function aten_view_copy_default_242 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_92, [8, 512]) {} 2025-06-05T19:09:23.9179990Z call_function aten_view_copy_default_243 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_92, [8, 512]) {} 2025-06-05T19:09:23.9180500Z call_function aten_view_copy_default_244 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_92, [8, 512]) {} 2025-06-05T19:09:23.9181100Z call_function aten_addmm_default_91 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_bottleneck_input_dense_bias, aten_view_copy_default_242, aten_permute_copy_default_97) {} 2025-06-05T19:09:23.9181720Z call_function aten_addmm_default_92 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_bottleneck_attention_dense_bias, aten_view_copy_default_243, aten_permute_copy_default_98) {} 2025-06-05T19:09:23.9182320Z call_function aten_addmm_default_93 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_attention_self_value_bias, aten_view_copy_default_244, aten_permute_copy_default_94) {} 2025-06-05T19:09:23.9182820Z call_function aten_view_copy_default_245 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_91, [1, 8, 128]) {} 2025-06-05T19:09:23.9183270Z call_function aten_view_copy_default_246 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_92, [1, 8, 128]) {} 2025-06-05T19:09:23.9183760Z call_function aten_view_copy_default_247 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_93, [1, 8, 128]) {} 2025-06-05T19:09:23.9184330Z call_function aten_mul_tensor_50 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_245, p_encoder_layer_6_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9184860Z call_function aten_mul_tensor_51 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_246, p_encoder_layer_6_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9185320Z call_function aten_view_copy_default_248 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_247, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9185880Z call_function aten_add_tensor_93 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_50, p_encoder_layer_6_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9186420Z call_function aten_add_tensor_94 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_51, p_encoder_layer_6_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9186910Z call_function aten_permute_copy_default_391 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_248, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9187360Z call_function aten_view_copy_default_249 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_94, [8, 128]) {} 2025-06-05T19:09:23.9187820Z call_function aten_view_copy_default_250 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_94, [8, 128]) {} 2025-06-05T19:09:23.9188360Z call_function aten_expand_copy_default_24 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_391, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9188980Z call_function aten_addmm_default_94 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_attention_self_query_bias, aten_view_copy_default_249, aten_permute_copy_default_92) {} 2025-06-05T19:09:23.9189630Z call_function aten_addmm_default_95 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_attention_self_key_bias, aten_view_copy_default_250, aten_permute_copy_default_93) {} 2025-06-05T19:09:23.9190100Z call_function aten_view_copy_default_251 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_24, [4, 8, 32]) {} 2025-06-05T19:09:23.9190570Z call_function aten_view_copy_default_252 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_94, [1, 8, 128]) {} 2025-06-05T19:09:23.9191030Z call_function aten_view_copy_default_253 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_95, [1, 8, 128]) {} 2025-06-05T19:09:23.9191490Z call_function aten_view_copy_default_254 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_252, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9191950Z call_function aten_view_copy_default_255 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_253, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9192430Z call_function aten_permute_copy_default_392 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_254, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9192940Z call_function aten_permute_copy_default_393 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_255, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9193470Z call_function aten_expand_copy_default_25 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_392, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9193990Z call_function aten_permute_copy_default_394 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_393, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9194500Z call_function aten_view_copy_default_256 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_25, [4, 8, 32]) {} 2025-06-05T19:09:23.9195030Z call_function aten_expand_copy_default_26 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_394, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9195520Z call_function aten_view_copy_default_257 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_26, [4, 32, 8]) {} 2025-06-05T19:09:23.9195990Z call_function aten_bmm_default_12 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_256, aten_view_copy_default_257) {} 2025-06-05T19:09:23.9196440Z call_function aten_view_copy_default_258 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_12, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9196920Z call_function aten_div_tensor_6 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_258, _lifted_tensor_constant9) {} 2025-06-05T19:09:23.9197390Z call_function aten_add_tensor_95 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_6, aten_mul_tensor) {} 2025-06-05T19:09:23.9197890Z call_function aten__softmax_default_6 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_95, -1, False) {} 2025-06-05T19:09:23.9198380Z call_function aten_clone_default_19 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_6,) {} 2025-06-05T19:09:23.9198920Z call_function aten_expand_copy_default_27 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_19, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9199440Z call_function aten_view_copy_default_259 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_27, [4, 8, 8]) {} 2025-06-05T19:09:23.9199910Z call_function aten_bmm_default_13 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_259, aten_view_copy_default_251) {} 2025-06-05T19:09:23.9200400Z call_function aten_view_copy_default_260 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_13, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9200880Z call_function aten_permute_copy_default_395 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_260, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9201400Z call_function aten_clone_default_20 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_395,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9201850Z call_function aten_view_copy_default_261 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_20, [1, 8, 128]) {} 2025-06-05T19:09:23.9202320Z call_function aten_view_copy_default_262 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_261, [8, 128]) {} 2025-06-05T19:09:23.9202950Z call_function aten_addmm_default_96 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_attention_output_dense_bias, aten_view_copy_default_262, aten_permute_copy_default_91) {} 2025-06-05T19:09:23.9203430Z call_function aten_view_copy_default_263 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_96, [1, 8, 128]) {} 2025-06-05T19:09:23.9203960Z call_function aten_add_tensor_96 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_263, aten_add_tensor_93) {} 2025-06-05T19:09:23.9204520Z call_function aten_mul_tensor_52 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_96, p_encoder_layer_6_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9205070Z call_function aten_add_tensor_97 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_52, p_encoder_layer_6_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9205540Z call_function aten_view_copy_default_264 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_97, [8, 128]) {} 2025-06-05T19:09:23.9206140Z call_function aten_addmm_default_97 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_0_intermediate_dense_bias, aten_view_copy_default_264, aten_permute_copy_default_100) {} 2025-06-05T19:09:23.9206600Z call_function aten_view_copy_default_265 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_97, [1, 8, 512]) {} 2025-06-05T19:09:23.9207010Z call_function aten_relu_default_24 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_265,) {} 2025-06-05T19:09:23.9207460Z call_function aten_view_copy_default_266 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_24, [8, 512]) {} 2025-06-05T19:09:23.9208070Z call_function aten_addmm_default_98 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_0_output_dense_bias, aten_view_copy_default_266, aten_permute_copy_default_99) {} 2025-06-05T19:09:23.9208530Z call_function aten_view_copy_default_267 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_98, [1, 8, 128]) {} 2025-06-05T19:09:23.9209050Z call_function aten_add_tensor_98 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_267, aten_add_tensor_97) {} 2025-06-05T19:09:23.9209600Z call_function aten_mul_tensor_53 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_98, p_encoder_layer_6_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9210130Z call_function aten_add_tensor_99 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_53, p_encoder_layer_6_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9210610Z call_function aten_view_copy_default_268 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_99, [8, 128]) {} 2025-06-05T19:09:23.9211210Z call_function aten_addmm_default_99 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_1_intermediate_dense_bias, aten_view_copy_default_268, aten_permute_copy_default_102) {} 2025-06-05T19:09:23.9211670Z call_function aten_view_copy_default_269 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_99, [1, 8, 512]) {} 2025-06-05T19:09:23.9212080Z call_function aten_relu_default_25 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_269,) {} 2025-06-05T19:09:23.9212530Z call_function aten_view_copy_default_270 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_25, [8, 512]) {} 2025-06-05T19:09:23.9213160Z call_function aten_addmm_default_100 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_1_output_dense_bias, aten_view_copy_default_270, aten_permute_copy_default_101) {} 2025-06-05T19:09:23.9213620Z call_function aten_view_copy_default_271 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_100, [1, 8, 128]) {} 2025-06-05T19:09:23.9214140Z call_function aten_add_tensor_100 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_271, aten_add_tensor_99) {} 2025-06-05T19:09:23.9214690Z call_function aten_mul_tensor_54 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_100, p_encoder_layer_6_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9215220Z call_function aten_add_tensor_101 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_54, p_encoder_layer_6_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9215700Z call_function aten_view_copy_default_272 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_101, [8, 128]) {} 2025-06-05T19:09:23.9216300Z call_function aten_addmm_default_101 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_2_intermediate_dense_bias, aten_view_copy_default_272, aten_permute_copy_default_104) {} 2025-06-05T19:09:23.9216760Z call_function aten_view_copy_default_273 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_101, [1, 8, 512]) {} 2025-06-05T19:09:23.9217170Z call_function aten_relu_default_26 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_273,) {} 2025-06-05T19:09:23.9217620Z call_function aten_view_copy_default_274 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_26, [8, 512]) {} 2025-06-05T19:09:23.9218240Z call_function aten_addmm_default_102 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_ffn_2_output_dense_bias, aten_view_copy_default_274, aten_permute_copy_default_103) {} 2025-06-05T19:09:23.9218720Z call_function aten_view_copy_default_275 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_102, [1, 8, 128]) {} 2025-06-05T19:09:23.9219230Z call_function aten_add_tensor_102 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_275, aten_add_tensor_101) {} 2025-06-05T19:09:23.9219770Z call_function aten_mul_tensor_55 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_102, p_encoder_layer_6_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9220310Z call_function aten_add_tensor_103 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_55, p_encoder_layer_6_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9220800Z call_function aten_view_copy_default_276 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_103, [8, 128]) {} 2025-06-05T19:09:23.9221410Z call_function aten_addmm_default_103 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_intermediate_dense_bias, aten_view_copy_default_276, aten_permute_copy_default_105) {} 2025-06-05T19:09:23.9221870Z call_function aten_view_copy_default_277 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_103, [1, 8, 512]) {} 2025-06-05T19:09:23.9222270Z call_function aten_relu_default_27 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_277,) {} 2025-06-05T19:09:23.9222730Z call_function aten_view_copy_default_278 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_27, [8, 512]) {} 2025-06-05T19:09:23.9223350Z call_function aten_addmm_default_104 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_output_dense_bias, aten_view_copy_default_278, aten_permute_copy_default_96) {} 2025-06-05T19:09:23.9223850Z call_function aten_view_copy_default_279 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_104, [1, 8, 128]) {} 2025-06-05T19:09:23.9224350Z call_function aten_add_tensor_104 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_279, aten_add_tensor_103) {} 2025-06-05T19:09:23.9224920Z call_function aten_mul_tensor_56 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_104, p_encoder_layer_6_output_layernorm_weight) {} 2025-06-05T19:09:23.9225450Z call_function aten_add_tensor_105 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_56, p_encoder_layer_6_output_layernorm_bias) {} 2025-06-05T19:09:23.9225920Z call_function aten_view_copy_default_280 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_105, [8, 128]) {} 2025-06-05T19:09:23.9226530Z call_function aten_addmm_default_105 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_6_output_bottleneck_dense_bias, aten_view_copy_default_280, aten_permute_copy_default_95) {} 2025-06-05T19:09:23.9227000Z call_function aten_view_copy_default_281 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_105, [1, 8, 512]) {} 2025-06-05T19:09:23.9227490Z call_function aten_clone_default_21 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_281,) {} 2025-06-05T19:09:23.9227980Z call_function aten_add_tensor_106 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_21, aten_add_tensor_92) {} 2025-06-05T19:09:23.9228550Z call_function aten_mul_tensor_57 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_106, p_encoder_layer_6_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9229110Z call_function aten_add_tensor_107 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_57, p_encoder_layer_6_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9229570Z call_function aten_view_copy_default_282 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_107, [8, 512]) {} 2025-06-05T19:09:23.9230070Z call_function aten_view_copy_default_283 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_107, [8, 512]) {} 2025-06-05T19:09:23.9230530Z call_function aten_view_copy_default_284 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_107, [8, 512]) {} 2025-06-05T19:09:23.9231170Z call_function aten_addmm_default_106 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_bottleneck_input_dense_bias, aten_view_copy_default_282, aten_permute_copy_default_112) {} 2025-06-05T19:09:23.9231780Z call_function aten_addmm_default_107 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_bottleneck_attention_dense_bias, aten_view_copy_default_283, aten_permute_copy_default_113) {} 2025-06-05T19:09:23.9232390Z call_function aten_addmm_default_108 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_attention_self_value_bias, aten_view_copy_default_284, aten_permute_copy_default_109) {} 2025-06-05T19:09:23.9232850Z call_function aten_view_copy_default_285 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_106, [1, 8, 128]) {} 2025-06-05T19:09:23.9233310Z call_function aten_view_copy_default_286 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_107, [1, 8, 128]) {} 2025-06-05T19:09:23.9233810Z call_function aten_view_copy_default_287 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_108, [1, 8, 128]) {} 2025-06-05T19:09:23.9234350Z call_function aten_mul_tensor_58 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_285, p_encoder_layer_7_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9234880Z call_function aten_mul_tensor_59 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_286, p_encoder_layer_7_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9235380Z call_function aten_view_copy_default_288 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_287, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9235950Z call_function aten_add_tensor_108 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_58, p_encoder_layer_7_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9236510Z call_function aten_add_tensor_109 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_59, p_encoder_layer_7_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9237000Z call_function aten_permute_copy_default_396 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_288, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9237460Z call_function aten_view_copy_default_289 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_109, [8, 128]) {} 2025-06-05T19:09:23.9237910Z call_function aten_view_copy_default_290 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_109, [8, 128]) {} 2025-06-05T19:09:23.9238450Z call_function aten_expand_copy_default_28 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_396, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9239080Z call_function aten_addmm_default_109 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_attention_self_query_bias, aten_view_copy_default_289, aten_permute_copy_default_107) {} 2025-06-05T19:09:23.9239710Z call_function aten_addmm_default_110 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_attention_self_key_bias, aten_view_copy_default_290, aten_permute_copy_default_108) {} 2025-06-05T19:09:23.9240180Z call_function aten_view_copy_default_291 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_28, [4, 8, 32]) {} 2025-06-05T19:09:23.9240680Z call_function aten_view_copy_default_292 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_109, [1, 8, 128]) {} 2025-06-05T19:09:23.9241140Z call_function aten_view_copy_default_293 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_110, [1, 8, 128]) {} 2025-06-05T19:09:23.9241670Z call_function aten_view_copy_default_294 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_292, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9242140Z call_function aten_view_copy_default_295 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_293, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9242620Z call_function aten_permute_copy_default_397 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_294, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9243100Z call_function aten_permute_copy_default_398 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_295, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9243640Z call_function aten_expand_copy_default_29 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_397, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9244150Z call_function aten_permute_copy_default_399 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_398, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9244650Z call_function aten_view_copy_default_296 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_29, [4, 8, 32]) {} 2025-06-05T19:09:23.9245190Z call_function aten_expand_copy_default_30 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_399, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9245710Z call_function aten_view_copy_default_297 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_30, [4, 32, 8]) {} 2025-06-05T19:09:23.9246180Z call_function aten_bmm_default_14 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_296, aten_view_copy_default_297) {} 2025-06-05T19:09:23.9246660Z call_function aten_view_copy_default_298 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_14, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9247140Z call_function aten_div_tensor_7 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_298, _lifted_tensor_constant10) {} 2025-06-05T19:09:23.9247630Z call_function aten_add_tensor_110 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_7, aten_mul_tensor) {} 2025-06-05T19:09:23.9248110Z call_function aten__softmax_default_7 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_110, -1, False) {} 2025-06-05T19:09:23.9248600Z call_function aten_clone_default_22 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_7,) {} 2025-06-05T19:09:23.9249130Z call_function aten_expand_copy_default_31 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_22, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9249620Z call_function aten_view_copy_default_299 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_31, [4, 8, 8]) {} 2025-06-05T19:09:23.9250090Z call_function aten_bmm_default_15 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_299, aten_view_copy_default_291) {} 2025-06-05T19:09:23.9250590Z call_function aten_view_copy_default_300 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_15, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9251080Z call_function aten_permute_copy_default_400 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_300, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9251630Z call_function aten_clone_default_23 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_400,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9252100Z call_function aten_view_copy_default_301 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_23, [1, 8, 128]) {} 2025-06-05T19:09:23.9252570Z call_function aten_view_copy_default_302 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_301, [8, 128]) {} 2025-06-05T19:09:23.9253180Z call_function aten_addmm_default_111 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_attention_output_dense_bias, aten_view_copy_default_302, aten_permute_copy_default_106) {} 2025-06-05T19:09:23.9253670Z call_function aten_view_copy_default_303 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_111, [1, 8, 128]) {} 2025-06-05T19:09:23.9254170Z call_function aten_add_tensor_111 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_303, aten_add_tensor_108) {} 2025-06-05T19:09:23.9254710Z call_function aten_mul_tensor_60 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_111, p_encoder_layer_7_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9255300Z call_function aten_add_tensor_112 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_60, p_encoder_layer_7_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9255750Z call_function aten_view_copy_default_304 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_112, [8, 128]) {} 2025-06-05T19:09:23.9256360Z call_function aten_addmm_default_112 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_0_intermediate_dense_bias, aten_view_copy_default_304, aten_permute_copy_default_115) {} 2025-06-05T19:09:23.9256840Z call_function aten_view_copy_default_305 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_112, [1, 8, 512]) {} 2025-06-05T19:09:23.9257250Z call_function aten_relu_default_28 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_305,) {} 2025-06-05T19:09:23.9257710Z call_function aten_view_copy_default_306 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_28, [8, 512]) {} 2025-06-05T19:09:23.9258330Z call_function aten_addmm_default_113 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_0_output_dense_bias, aten_view_copy_default_306, aten_permute_copy_default_114) {} 2025-06-05T19:09:23.9258810Z call_function aten_view_copy_default_307 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_113, [1, 8, 128]) {} 2025-06-05T19:09:23.9259320Z call_function aten_add_tensor_113 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_307, aten_add_tensor_112) {} 2025-06-05T19:09:23.9259840Z call_function aten_mul_tensor_61 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_113, p_encoder_layer_7_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9260420Z call_function aten_add_tensor_114 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_61, p_encoder_layer_7_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9260880Z call_function aten_view_copy_default_308 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_114, [8, 128]) {} 2025-06-05T19:09:23.9261530Z call_function aten_addmm_default_114 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_1_intermediate_dense_bias, aten_view_copy_default_308, aten_permute_copy_default_117) {} 2025-06-05T19:09:23.9261990Z call_function aten_view_copy_default_309 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_114, [1, 8, 512]) {} 2025-06-05T19:09:23.9262400Z call_function aten_relu_default_29 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_309,) {} 2025-06-05T19:09:23.9262860Z call_function aten_view_copy_default_310 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_29, [8, 512]) {} 2025-06-05T19:09:23.9263450Z call_function aten_addmm_default_115 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_1_output_dense_bias, aten_view_copy_default_310, aten_permute_copy_default_116) {} 2025-06-05T19:09:23.9263940Z call_function aten_view_copy_default_311 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_115, [1, 8, 128]) {} 2025-06-05T19:09:23.9264440Z call_function aten_add_tensor_115 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_311, aten_add_tensor_114) {} 2025-06-05T19:09:23.9264980Z call_function aten_mul_tensor_62 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_115, p_encoder_layer_7_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9265560Z call_function aten_add_tensor_116 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_62, p_encoder_layer_7_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9266010Z call_function aten_view_copy_default_312 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_116, [8, 128]) {} 2025-06-05T19:09:23.9266640Z call_function aten_addmm_default_116 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_2_intermediate_dense_bias, aten_view_copy_default_312, aten_permute_copy_default_119) {} 2025-06-05T19:09:23.9267100Z call_function aten_view_copy_default_313 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_116, [1, 8, 512]) {} 2025-06-05T19:09:23.9267510Z call_function aten_relu_default_30 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_313,) {} 2025-06-05T19:09:23.9267970Z call_function aten_view_copy_default_314 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_30, [8, 512]) {} 2025-06-05T19:09:23.9268580Z call_function aten_addmm_default_117 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_ffn_2_output_dense_bias, aten_view_copy_default_314, aten_permute_copy_default_118) {} 2025-06-05T19:09:23.9269050Z call_function aten_view_copy_default_315 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_117, [1, 8, 128]) {} 2025-06-05T19:09:23.9269560Z call_function aten_add_tensor_117 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_315, aten_add_tensor_116) {} 2025-06-05T19:09:23.9270090Z call_function aten_mul_tensor_63 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_117, p_encoder_layer_7_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9270670Z call_function aten_add_tensor_118 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_63, p_encoder_layer_7_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9271120Z call_function aten_view_copy_default_316 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_118, [8, 128]) {} 2025-06-05T19:09:23.9271760Z call_function aten_addmm_default_118 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_intermediate_dense_bias, aten_view_copy_default_316, aten_permute_copy_default_120) {} 2025-06-05T19:09:23.9272220Z call_function aten_view_copy_default_317 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_118, [1, 8, 512]) {} 2025-06-05T19:09:23.9272630Z call_function aten_relu_default_31 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_317,) {} 2025-06-05T19:09:23.9273090Z call_function aten_view_copy_default_318 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_31, [8, 512]) {} 2025-06-05T19:09:23.9273690Z call_function aten_addmm_default_119 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_output_dense_bias, aten_view_copy_default_318, aten_permute_copy_default_111) {} 2025-06-05T19:09:23.9274180Z call_function aten_view_copy_default_319 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_119, [1, 8, 128]) {} 2025-06-05T19:09:23.9274690Z call_function aten_add_tensor_119 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_319, aten_add_tensor_118) {} 2025-06-05T19:09:23.9275210Z call_function aten_mul_tensor_64 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_119, p_encoder_layer_7_output_layernorm_weight) {} 2025-06-05T19:09:23.9275790Z call_function aten_add_tensor_120 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_64, p_encoder_layer_7_output_layernorm_bias) {} 2025-06-05T19:09:23.9276250Z call_function aten_view_copy_default_320 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_120, [8, 128]) {} 2025-06-05T19:09:23.9276870Z call_function aten_addmm_default_120 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_7_output_bottleneck_dense_bias, aten_view_copy_default_320, aten_permute_copy_default_110) {} 2025-06-05T19:09:23.9277330Z call_function aten_view_copy_default_321 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_120, [1, 8, 512]) {} 2025-06-05T19:09:23.9277830Z call_function aten_clone_default_24 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_321,) {} 2025-06-05T19:09:23.9278320Z call_function aten_add_tensor_121 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_24, aten_add_tensor_107) {} 2025-06-05T19:09:23.9278840Z call_function aten_mul_tensor_65 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_121, p_encoder_layer_7_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9279410Z call_function aten_add_tensor_122 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_65, p_encoder_layer_7_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9279880Z call_function aten_view_copy_default_322 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_122, [8, 512]) {} 2025-06-05T19:09:23.9280350Z call_function aten_view_copy_default_323 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_122, [8, 512]) {} 2025-06-05T19:09:23.9280850Z call_function aten_view_copy_default_324 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_122, [8, 512]) {} 2025-06-05T19:09:23.9281470Z call_function aten_addmm_default_121 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_bottleneck_input_dense_bias, aten_view_copy_default_322, aten_permute_copy_default_127) {} 2025-06-05T19:09:23.9282120Z call_function aten_addmm_default_122 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_bottleneck_attention_dense_bias, aten_view_copy_default_323, aten_permute_copy_default_128) {} 2025-06-05T19:09:23.9282720Z call_function aten_addmm_default_123 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_attention_self_value_bias, aten_view_copy_default_324, aten_permute_copy_default_124) {} 2025-06-05T19:09:23.9283180Z call_function aten_view_copy_default_325 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_121, [1, 8, 128]) {} 2025-06-05T19:09:23.9283640Z call_function aten_view_copy_default_326 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_122, [1, 8, 128]) {} 2025-06-05T19:09:23.9284110Z call_function aten_view_copy_default_327 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_123, [1, 8, 128]) {} 2025-06-05T19:09:23.9284640Z call_function aten_mul_tensor_66 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_325, p_encoder_layer_8_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9285170Z call_function aten_mul_tensor_67 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_326, p_encoder_layer_8_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9285670Z call_function aten_view_copy_default_328 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_327, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9286280Z call_function aten_add_tensor_123 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_66, p_encoder_layer_8_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9286830Z call_function aten_add_tensor_124 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_67, p_encoder_layer_8_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9287340Z call_function aten_permute_copy_default_401 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_328, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9287790Z call_function aten_view_copy_default_329 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_124, [8, 128]) {} 2025-06-05T19:09:23.9288240Z call_function aten_view_copy_default_330 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_124, [8, 128]) {} 2025-06-05T19:09:23.9288780Z call_function aten_expand_copy_default_32 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_401, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9289390Z call_function aten_addmm_default_124 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_attention_self_query_bias, aten_view_copy_default_329, aten_permute_copy_default_122) {} 2025-06-05T19:09:23.9290010Z call_function aten_addmm_default_125 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_attention_self_key_bias, aten_view_copy_default_330, aten_permute_copy_default_123) {} 2025-06-05T19:09:23.9290470Z call_function aten_view_copy_default_331 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_32, [4, 8, 32]) {} 2025-06-05T19:09:23.9290960Z call_function aten_view_copy_default_332 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_124, [1, 8, 128]) {} 2025-06-05T19:09:23.9291460Z call_function aten_view_copy_default_333 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_125, [1, 8, 128]) {} 2025-06-05T19:09:23.9291930Z call_function aten_view_copy_default_334 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_332, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9292410Z call_function aten_view_copy_default_335 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_333, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9292900Z call_function aten_permute_copy_default_402 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_334, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9293380Z call_function aten_permute_copy_default_403 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_335, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9293920Z call_function aten_expand_copy_default_33 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_402, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9294410Z call_function aten_permute_copy_default_404 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_403, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9294910Z call_function aten_view_copy_default_336 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_33, [4, 8, 32]) {} 2025-06-05T19:09:23.9295450Z call_function aten_expand_copy_default_34 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_404, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9295940Z call_function aten_view_copy_default_337 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_34, [4, 32, 8]) {} 2025-06-05T19:09:23.9296460Z call_function aten_bmm_default_16 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_336, aten_view_copy_default_337) {} 2025-06-05T19:09:23.9296910Z call_function aten_view_copy_default_338 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_16, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9297410Z call_function aten_div_tensor_8 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_338, _lifted_tensor_constant11) {} 2025-06-05T19:09:23.9297900Z call_function aten_add_tensor_125 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_8, aten_mul_tensor) {} 2025-06-05T19:09:23.9298380Z call_function aten__softmax_default_8 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_125, -1, False) {} 2025-06-05T19:09:23.9298870Z call_function aten_clone_default_25 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_8,) {} 2025-06-05T19:09:23.9299390Z call_function aten_expand_copy_default_35 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_25, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9299880Z call_function aten_view_copy_default_339 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_35, [4, 8, 8]) {} 2025-06-05T19:09:23.9300360Z call_function aten_bmm_default_17 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_339, aten_view_copy_default_331) {} 2025-06-05T19:09:23.9300820Z call_function aten_view_copy_default_340 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_17, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9301340Z call_function aten_permute_copy_default_405 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_340, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9301870Z call_function aten_clone_default_26 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_405,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9302370Z call_function aten_view_copy_default_341 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_26, [1, 8, 128]) {} 2025-06-05T19:09:23.9302840Z call_function aten_view_copy_default_342 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_341, [8, 128]) {} 2025-06-05T19:09:23.9303450Z call_function aten_addmm_default_126 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_attention_output_dense_bias, aten_view_copy_default_342, aten_permute_copy_default_121) {} 2025-06-05T19:09:23.9303910Z call_function aten_view_copy_default_343 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_126, [1, 8, 128]) {} 2025-06-05T19:09:23.9304420Z call_function aten_add_tensor_126 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_343, aten_add_tensor_123) {} 2025-06-05T19:09:23.9304950Z call_function aten_mul_tensor_68 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_126, p_encoder_layer_8_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9305540Z call_function aten_add_tensor_127 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_68, p_encoder_layer_8_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9305990Z call_function aten_view_copy_default_344 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_127, [8, 128]) {} 2025-06-05T19:09:23.9306660Z call_function aten_addmm_default_127 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_0_intermediate_dense_bias, aten_view_copy_default_344, aten_permute_copy_default_130) {} 2025-06-05T19:09:23.9307120Z call_function aten_view_copy_default_345 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_127, [1, 8, 512]) {} 2025-06-05T19:09:23.9307550Z call_function aten_relu_default_32 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_345,) {} 2025-06-05T19:09:23.9308010Z call_function aten_view_copy_default_346 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_32, [8, 512]) {} 2025-06-05T19:09:23.9308620Z call_function aten_addmm_default_128 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_0_output_dense_bias, aten_view_copy_default_346, aten_permute_copy_default_129) {} 2025-06-05T19:09:23.9309080Z call_function aten_view_copy_default_347 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_128, [1, 8, 128]) {} 2025-06-05T19:09:23.9309580Z call_function aten_add_tensor_128 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_347, aten_add_tensor_127) {} 2025-06-05T19:09:23.9310100Z call_function aten_mul_tensor_69 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_128, p_encoder_layer_8_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9310650Z call_function aten_add_tensor_129 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_69, p_encoder_layer_8_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9311110Z call_function aten_view_copy_default_348 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_129, [8, 128]) {} 2025-06-05T19:09:23.9311760Z call_function aten_addmm_default_129 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_1_intermediate_dense_bias, aten_view_copy_default_348, aten_permute_copy_default_132) {} 2025-06-05T19:09:23.9312230Z call_function aten_view_copy_default_349 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_129, [1, 8, 512]) {} 2025-06-05T19:09:23.9312660Z call_function aten_relu_default_33 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_349,) {} 2025-06-05T19:09:23.9313120Z call_function aten_view_copy_default_350 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_33, [8, 512]) {} 2025-06-05T19:09:23.9313720Z call_function aten_addmm_default_130 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_1_output_dense_bias, aten_view_copy_default_350, aten_permute_copy_default_131) {} 2025-06-05T19:09:23.9314180Z call_function aten_view_copy_default_351 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_130, [1, 8, 128]) {} 2025-06-05T19:09:23.9314680Z call_function aten_add_tensor_130 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_351, aten_add_tensor_129) {} 2025-06-05T19:09:23.9315210Z call_function aten_mul_tensor_70 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_130, p_encoder_layer_8_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9315760Z call_function aten_add_tensor_131 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_70, p_encoder_layer_8_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9316220Z call_function aten_view_copy_default_352 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_131, [8, 128]) {} 2025-06-05T19:09:23.9316880Z call_function aten_addmm_default_131 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_2_intermediate_dense_bias, aten_view_copy_default_352, aten_permute_copy_default_134) {} 2025-06-05T19:09:23.9317340Z call_function aten_view_copy_default_353 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_131, [1, 8, 512]) {} 2025-06-05T19:09:23.9317770Z call_function aten_relu_default_34 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_353,) {} 2025-06-05T19:09:23.9318230Z call_function aten_view_copy_default_354 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_34, [8, 512]) {} 2025-06-05T19:09:23.9318830Z call_function aten_addmm_default_132 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_ffn_2_output_dense_bias, aten_view_copy_default_354, aten_permute_copy_default_133) {} 2025-06-05T19:09:23.9319290Z call_function aten_view_copy_default_355 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_132, [1, 8, 128]) {} 2025-06-05T19:09:23.9319790Z call_function aten_add_tensor_132 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_355, aten_add_tensor_131) {} 2025-06-05T19:09:23.9320320Z call_function aten_mul_tensor_71 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_132, p_encoder_layer_8_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9320870Z call_function aten_add_tensor_133 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_71, p_encoder_layer_8_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9321320Z call_function aten_view_copy_default_356 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_133, [8, 128]) {} 2025-06-05T19:09:23.9321970Z call_function aten_addmm_default_133 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_intermediate_dense_bias, aten_view_copy_default_356, aten_permute_copy_default_135) {} 2025-06-05T19:09:23.9322430Z call_function aten_view_copy_default_357 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_133, [1, 8, 512]) {} 2025-06-05T19:09:23.9322900Z call_function aten_relu_default_35 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_357,) {} 2025-06-05T19:09:23.9323360Z call_function aten_view_copy_default_358 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_35, [8, 512]) {} 2025-06-05T19:09:23.9323960Z call_function aten_addmm_default_134 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_output_dense_bias, aten_view_copy_default_358, aten_permute_copy_default_126) {} 2025-06-05T19:09:23.9324420Z call_function aten_view_copy_default_359 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_134, [1, 8, 128]) {} 2025-06-05T19:09:23.9324950Z call_function aten_add_tensor_134 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_359, aten_add_tensor_133) {} 2025-06-05T19:09:23.9325450Z call_function aten_mul_tensor_72 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_134, p_encoder_layer_8_output_layernorm_weight) {} 2025-06-05T19:09:23.9326010Z call_function aten_add_tensor_135 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_72, p_encoder_layer_8_output_layernorm_bias) {} 2025-06-05T19:09:23.9326540Z call_function aten_view_copy_default_360 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_135, [8, 128]) {} 2025-06-05T19:09:23.9327150Z call_function aten_addmm_default_135 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_8_output_bottleneck_dense_bias, aten_view_copy_default_360, aten_permute_copy_default_125) {} 2025-06-05T19:09:23.9327610Z call_function aten_view_copy_default_361 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_135, [1, 8, 512]) {} 2025-06-05T19:09:23.9328130Z call_function aten_clone_default_27 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_361,) {} 2025-06-05T19:09:23.9328620Z call_function aten_add_tensor_136 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_27, aten_add_tensor_122) {} 2025-06-05T19:09:23.9329140Z call_function aten_mul_tensor_73 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_136, p_encoder_layer_8_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9329670Z call_function aten_add_tensor_137 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_73, p_encoder_layer_8_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9330160Z call_function aten_view_copy_default_362 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_137, [8, 512]) {} 2025-06-05T19:09:23.9330610Z call_function aten_view_copy_default_363 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_137, [8, 512]) {} 2025-06-05T19:09:23.9331090Z call_function aten_view_copy_default_364 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_137, [8, 512]) {} 2025-06-05T19:09:23.9331770Z call_function aten_addmm_default_136 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_bottleneck_input_dense_bias, aten_view_copy_default_362, aten_permute_copy_default_142) {} 2025-06-05T19:09:23.9332390Z call_function aten_addmm_default_137 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_bottleneck_attention_dense_bias, aten_view_copy_default_363, aten_permute_copy_default_143) {} 2025-06-05T19:09:23.9332990Z call_function aten_addmm_default_138 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_attention_self_value_bias, aten_view_copy_default_364, aten_permute_copy_default_139) {} 2025-06-05T19:09:23.9333470Z call_function aten_view_copy_default_365 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_136, [1, 8, 128]) {} 2025-06-05T19:09:23.9333930Z call_function aten_view_copy_default_366 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_137, [1, 8, 128]) {} 2025-06-05T19:09:23.9334390Z call_function aten_view_copy_default_367 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_138, [1, 8, 128]) {} 2025-06-05T19:09:23.9334910Z call_function aten_mul_tensor_74 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_365, p_encoder_layer_9_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9335470Z call_function aten_mul_tensor_75 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_366, p_encoder_layer_9_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9335950Z call_function aten_view_copy_default_368 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_367, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9336520Z call_function aten_add_tensor_138 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_74, p_encoder_layer_9_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9337110Z call_function aten_add_tensor_139 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_75, p_encoder_layer_9_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9337600Z call_function aten_permute_copy_default_406 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_368, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9338070Z call_function aten_view_copy_default_369 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_139, [8, 128]) {} 2025-06-05T19:09:23.9338520Z call_function aten_view_copy_default_370 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_139, [8, 128]) {} 2025-06-05T19:09:23.9339060Z call_function aten_expand_copy_default_36 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_406, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9339670Z call_function aten_addmm_default_139 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_attention_self_query_bias, aten_view_copy_default_369, aten_permute_copy_default_137) {} 2025-06-05T19:09:23.9340270Z call_function aten_addmm_default_140 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_attention_self_key_bias, aten_view_copy_default_370, aten_permute_copy_default_138) {} 2025-06-05T19:09:23.9340760Z call_function aten_view_copy_default_371 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_36, [4, 8, 32]) {} 2025-06-05T19:09:23.9341220Z call_function aten_view_copy_default_372 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_139, [1, 8, 128]) {} 2025-06-05T19:09:23.9341700Z call_function aten_view_copy_default_373 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_140, [1, 8, 128]) {} 2025-06-05T19:09:23.9342200Z call_function aten_view_copy_default_374 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_372, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9342670Z call_function aten_view_copy_default_375 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_373, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9343180Z call_function aten_permute_copy_default_407 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_374, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9343660Z call_function aten_permute_copy_default_408 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_375, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9344200Z call_function aten_expand_copy_default_37 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_407, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9344690Z call_function aten_permute_copy_default_409 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_408, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9345150Z call_function aten_view_copy_default_376 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_37, [4, 8, 32]) {} 2025-06-05T19:09:23.9345710Z call_function aten_expand_copy_default_38 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_409, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9346180Z call_function aten_view_copy_default_377 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_38, [4, 32, 8]) {} 2025-06-05T19:09:23.9346680Z call_function aten_bmm_default_18 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_376, aten_view_copy_default_377) {} 2025-06-05T19:09:23.9347190Z call_function aten_view_copy_default_378 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_18, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9347670Z call_function aten_div_tensor_9 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_378, _lifted_tensor_constant12) {} 2025-06-05T19:09:23.9348180Z call_function aten_add_tensor_140 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_9, aten_mul_tensor) {} 2025-06-05T19:09:23.9348660Z call_function aten__softmax_default_9 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_140, -1, False) {} 2025-06-05T19:09:23.9349150Z call_function aten_clone_default_28 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_9,) {} 2025-06-05T19:09:23.9349700Z call_function aten_expand_copy_default_39 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_28, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9350170Z call_function aten_view_copy_default_379 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_39, [4, 8, 8]) {} 2025-06-05T19:09:23.9350660Z call_function aten_bmm_default_19 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_379, aten_view_copy_default_371) {} 2025-06-05T19:09:23.9351110Z call_function aten_view_copy_default_380 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_19, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9351610Z call_function aten_permute_copy_default_410 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_380, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9352180Z call_function aten_clone_default_29 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_410,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9352640Z call_function aten_view_copy_default_381 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_29, [1, 8, 128]) {} 2025-06-05T19:09:23.9357020Z call_function aten_view_copy_default_382 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_381, [8, 128]) {} 2025-06-05T19:09:23.9357640Z call_function aten_addmm_default_141 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_attention_output_dense_bias, aten_view_copy_default_382, aten_permute_copy_default_136) {} 2025-06-05T19:09:23.9358100Z call_function aten_view_copy_default_383 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_141, [1, 8, 128]) {} 2025-06-05T19:09:23.9358610Z call_function aten_add_tensor_141 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_383, aten_add_tensor_138) {} 2025-06-05T19:09:23.9359120Z call_function aten_mul_tensor_76 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_141, p_encoder_layer_9_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9359740Z call_function aten_add_tensor_142 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_76, p_encoder_layer_9_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9360190Z call_function aten_view_copy_default_384 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_142, [8, 128]) {} 2025-06-05T19:09:23.9360830Z call_function aten_addmm_default_142 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_0_intermediate_dense_bias, aten_view_copy_default_384, aten_permute_copy_default_145) {} 2025-06-05T19:09:23.9361340Z call_function aten_view_copy_default_385 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_142, [1, 8, 512]) {} 2025-06-05T19:09:23.9361750Z call_function aten_relu_default_36 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_385,) {} 2025-06-05T19:09:23.9362230Z call_function aten_view_copy_default_386 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_36, [8, 512]) {} 2025-06-05T19:09:23.9362830Z call_function aten_addmm_default_143 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_0_output_dense_bias, aten_view_copy_default_386, aten_permute_copy_default_144) {} 2025-06-05T19:09:23.9363290Z call_function aten_view_copy_default_387 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_143, [1, 8, 128]) {} 2025-06-05T19:09:23.9363790Z call_function aten_add_tensor_143 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_387, aten_add_tensor_142) {} 2025-06-05T19:09:23.9364300Z call_function aten_mul_tensor_77 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_143, p_encoder_layer_9_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9364850Z call_function aten_add_tensor_144 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_77, p_encoder_layer_9_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9365310Z call_function aten_view_copy_default_388 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_144, [8, 128]) {} 2025-06-05T19:09:23.9365950Z call_function aten_addmm_default_144 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_1_intermediate_dense_bias, aten_view_copy_default_388, aten_permute_copy_default_147) {} 2025-06-05T19:09:23.9366480Z call_function aten_view_copy_default_389 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_144, [1, 8, 512]) {} 2025-06-05T19:09:23.9366890Z call_function aten_relu_default_37 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_389,) {} 2025-06-05T19:09:23.9367400Z call_function aten_view_copy_default_390 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_37, [8, 512]) {} 2025-06-05T19:09:23.9368000Z call_function aten_addmm_default_145 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_1_output_dense_bias, aten_view_copy_default_390, aten_permute_copy_default_146) {} 2025-06-05T19:09:23.9368460Z call_function aten_view_copy_default_391 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_145, [1, 8, 128]) {} 2025-06-05T19:09:23.9368960Z call_function aten_add_tensor_145 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_391, aten_add_tensor_144) {} 2025-06-05T19:09:23.9369460Z call_function aten_mul_tensor_78 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_145, p_encoder_layer_9_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9370010Z call_function aten_add_tensor_146 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_78, p_encoder_layer_9_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9370470Z call_function aten_view_copy_default_392 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_146, [8, 128]) {} 2025-06-05T19:09:23.9371100Z call_function aten_addmm_default_146 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_2_intermediate_dense_bias, aten_view_copy_default_392, aten_permute_copy_default_149) {} 2025-06-05T19:09:23.9371620Z call_function aten_view_copy_default_393 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_146, [1, 8, 512]) {} 2025-06-05T19:09:23.9372030Z call_function aten_relu_default_38 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_393,) {} 2025-06-05T19:09:23.9372500Z call_function aten_view_copy_default_394 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_38, [8, 512]) {} 2025-06-05T19:09:23.9373100Z call_function aten_addmm_default_147 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_ffn_2_output_dense_bias, aten_view_copy_default_394, aten_permute_copy_default_148) {} 2025-06-05T19:09:23.9373560Z call_function aten_view_copy_default_395 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_147, [1, 8, 128]) {} 2025-06-05T19:09:23.9374070Z call_function aten_add_tensor_147 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_395, aten_add_tensor_146) {} 2025-06-05T19:09:23.9374570Z call_function aten_mul_tensor_79 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_147, p_encoder_layer_9_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9375120Z call_function aten_add_tensor_148 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_79, p_encoder_layer_9_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9375590Z call_function aten_view_copy_default_396 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_148, [8, 128]) {} 2025-06-05T19:09:23.9376200Z call_function aten_addmm_default_148 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_intermediate_dense_bias, aten_view_copy_default_396, aten_permute_copy_default_150) {} 2025-06-05T19:09:23.9376710Z call_function aten_view_copy_default_397 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_148, [1, 8, 512]) {} 2025-06-05T19:09:23.9377120Z call_function aten_relu_default_39 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_397,) {} 2025-06-05T19:09:23.9377590Z call_function aten_view_copy_default_398 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_39, [8, 512]) {} 2025-06-05T19:09:23.9378190Z call_function aten_addmm_default_149 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_output_dense_bias, aten_view_copy_default_398, aten_permute_copy_default_141) {} 2025-06-05T19:09:23.9378650Z call_function aten_view_copy_default_399 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_149, [1, 8, 128]) {} 2025-06-05T19:09:23.9379150Z call_function aten_add_tensor_149 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_399, aten_add_tensor_148) {} 2025-06-05T19:09:23.9379650Z call_function aten_mul_tensor_80 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_149, p_encoder_layer_9_output_layernorm_weight) {} 2025-06-05T19:09:23.9380200Z call_function aten_add_tensor_150 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_80, p_encoder_layer_9_output_layernorm_bias) {} 2025-06-05T19:09:23.9380680Z call_function aten_view_copy_default_400 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_150, [8, 128]) {} 2025-06-05T19:09:23.9381290Z call_function aten_addmm_default_150 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_9_output_bottleneck_dense_bias, aten_view_copy_default_400, aten_permute_copy_default_140) {} 2025-06-05T19:09:23.9381800Z call_function aten_view_copy_default_401 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_150, [1, 8, 512]) {} 2025-06-05T19:09:23.9382290Z call_function aten_clone_default_30 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_401,) {} 2025-06-05T19:09:23.9382800Z call_function aten_add_tensor_151 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_30, aten_add_tensor_137) {} 2025-06-05T19:09:23.9383310Z call_function aten_mul_tensor_81 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_151, p_encoder_layer_9_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9383850Z call_function aten_add_tensor_152 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_81, p_encoder_layer_9_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9384310Z call_function aten_view_copy_default_402 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_152, [8, 512]) {} 2025-06-05T19:09:23.9384760Z call_function aten_view_copy_default_403 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_152, [8, 512]) {} 2025-06-05T19:09:23.9385230Z call_function aten_view_copy_default_404 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_152, [8, 512]) {} 2025-06-05T19:09:23.9385860Z call_function aten_addmm_default_151 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_bottleneck_input_dense_bias, aten_view_copy_default_402, aten_permute_copy_default_157) {} 2025-06-05T19:09:23.9386470Z call_function aten_addmm_default_152 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_bottleneck_attention_dense_bias, aten_view_copy_default_403, aten_permute_copy_default_158) {} 2025-06-05T19:09:23.9387110Z call_function aten_addmm_default_153 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_attention_self_value_bias, aten_view_copy_default_404, aten_permute_copy_default_154) {} 2025-06-05T19:09:23.9387570Z call_function aten_view_copy_default_405 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_151, [1, 8, 128]) {} 2025-06-05T19:09:23.9388070Z call_function aten_view_copy_default_406 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_152, [1, 8, 128]) {} 2025-06-05T19:09:23.9388530Z call_function aten_view_copy_default_407 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_153, [1, 8, 128]) {} 2025-06-05T19:09:23.9389040Z call_function aten_mul_tensor_82 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_405, p_encoder_layer_10_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9389560Z call_function aten_mul_tensor_83 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_406, p_encoder_layer_10_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9390030Z call_function aten_view_copy_default_408 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_407, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9390590Z call_function aten_add_tensor_153 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_82, p_encoder_layer_10_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9391170Z call_function aten_add_tensor_154 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_83, p_encoder_layer_10_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9391660Z call_function aten_permute_copy_default_411 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_408, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9392170Z call_function aten_view_copy_default_409 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_154, [8, 128]) {} 2025-06-05T19:09:23.9392620Z call_function aten_view_copy_default_410 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_154, [8, 128]) {} 2025-06-05T19:09:23.9393180Z call_function aten_expand_copy_default_40 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_411, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9393790Z call_function aten_addmm_default_154 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_attention_self_query_bias, aten_view_copy_default_409, aten_permute_copy_default_152) {} 2025-06-05T19:09:23.9394400Z call_function aten_addmm_default_155 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_attention_self_key_bias, aten_view_copy_default_410, aten_permute_copy_default_153) {} 2025-06-05T19:09:23.9394870Z call_function aten_view_copy_default_411 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_40, [4, 8, 32]) {} 2025-06-05T19:09:23.9395320Z call_function aten_view_copy_default_412 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_154, [1, 8, 128]) {} 2025-06-05T19:09:23.9395800Z call_function aten_view_copy_default_413 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_155, [1, 8, 128]) {} 2025-06-05T19:09:23.9396280Z call_function aten_view_copy_default_414 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_412, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9396750Z call_function aten_view_copy_default_415 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_413, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9397280Z call_function aten_permute_copy_default_412 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_414, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9397770Z call_function aten_permute_copy_default_413 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_415, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9398330Z call_function aten_expand_copy_default_41 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_412, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9398820Z call_function aten_permute_copy_default_414 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_413, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9399290Z call_function aten_view_copy_default_416 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_41, [4, 8, 32]) {} 2025-06-05T19:09:23.9399830Z call_function aten_expand_copy_default_42 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_414, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9400300Z call_function aten_view_copy_default_417 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_42, [4, 32, 8]) {} 2025-06-05T19:09:23.9400800Z call_function aten_bmm_default_20 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_416, aten_view_copy_default_417) {} 2025-06-05T19:09:23.9401270Z call_function aten_view_copy_default_418 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_20, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9401760Z call_function aten_div_tensor_10 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_418, _lifted_tensor_constant13) {} 2025-06-05T19:09:23.9402290Z call_function aten_add_tensor_155 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_10, aten_mul_tensor) {} 2025-06-05T19:09:23.9402780Z call_function aten__softmax_default_10 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_155, -1, False) {} 2025-06-05T19:09:23.9403280Z call_function aten_clone_default_31 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_10,) {} 2025-06-05T19:09:23.9403800Z call_function aten_expand_copy_default_43 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_31, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9404270Z call_function aten_view_copy_default_419 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_43, [4, 8, 8]) {} 2025-06-05T19:09:23.9404740Z call_function aten_bmm_default_21 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_419, aten_view_copy_default_411) {} 2025-06-05T19:09:23.9405200Z call_function aten_view_copy_default_420 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_21, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9405700Z call_function aten_permute_copy_default_415 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_420, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9406240Z call_function aten_clone_default_32 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_415,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9406750Z call_function aten_view_copy_default_421 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_32, [1, 8, 128]) {} 2025-06-05T19:09:23.9407210Z call_function aten_view_copy_default_422 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_421, [8, 128]) {} 2025-06-05T19:09:23.9407820Z call_function aten_addmm_default_156 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_attention_output_dense_bias, aten_view_copy_default_422, aten_permute_copy_default_151) {} 2025-06-05T19:09:23.9408340Z call_function aten_view_copy_default_423 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_156, [1, 8, 128]) {} 2025-06-05T19:09:23.9408850Z call_function aten_add_tensor_156 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_423, aten_add_tensor_153) {} 2025-06-05T19:09:23.9409370Z call_function aten_mul_tensor_84 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_156, p_encoder_layer_10_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9409910Z call_function aten_add_tensor_157 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_84, p_encoder_layer_10_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9410390Z call_function aten_view_copy_default_424 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_157, [8, 128]) {} 2025-06-05T19:09:23.9411000Z call_function aten_addmm_default_157 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_0_intermediate_dense_bias, aten_view_copy_default_424, aten_permute_copy_default_160) {} 2025-06-05T19:09:23.9411490Z call_function aten_view_copy_default_425 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_157, [1, 8, 512]) {} 2025-06-05T19:09:23.9411960Z call_function aten_relu_default_40 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_425,) {} 2025-06-05T19:09:23.9412420Z call_function aten_view_copy_default_426 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_40, [8, 512]) {} 2025-06-05T19:09:23.9413050Z call_function aten_addmm_default_158 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_0_output_dense_bias, aten_view_copy_default_426, aten_permute_copy_default_159) {} 2025-06-05T19:09:23.9413510Z call_function aten_view_copy_default_427 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_158, [1, 8, 128]) {} 2025-06-05T19:09:23.9414010Z call_function aten_add_tensor_158 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_427, aten_add_tensor_157) {} 2025-06-05T19:09:23.9414520Z call_function aten_mul_tensor_85 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_158, p_encoder_layer_10_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9415060Z call_function aten_add_tensor_159 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_85, p_encoder_layer_10_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9415530Z call_function aten_view_copy_default_428 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_159, [8, 128]) {} 2025-06-05T19:09:23.9416140Z call_function aten_addmm_default_159 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_1_intermediate_dense_bias, aten_view_copy_default_428, aten_permute_copy_default_162) {} 2025-06-05T19:09:23.9416620Z call_function aten_view_copy_default_429 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_159, [1, 8, 512]) {} 2025-06-05T19:09:23.9417080Z call_function aten_relu_default_41 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_429,) {} 2025-06-05T19:09:23.9417540Z call_function aten_view_copy_default_430 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_41, [8, 512]) {} 2025-06-05T19:09:23.9418160Z call_function aten_addmm_default_160 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_1_output_dense_bias, aten_view_copy_default_430, aten_permute_copy_default_161) {} 2025-06-05T19:09:23.9418620Z call_function aten_view_copy_default_431 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_160, [1, 8, 128]) {} 2025-06-05T19:09:23.9419130Z call_function aten_add_tensor_160 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_431, aten_add_tensor_159) {} 2025-06-05T19:09:23.9419630Z call_function aten_mul_tensor_86 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_160, p_encoder_layer_10_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9420170Z call_function aten_add_tensor_161 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_86, p_encoder_layer_10_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9420650Z call_function aten_view_copy_default_432 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_161, [8, 128]) {} 2025-06-05T19:09:23.9421260Z call_function aten_addmm_default_161 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_2_intermediate_dense_bias, aten_view_copy_default_432, aten_permute_copy_default_164) {} 2025-06-05T19:09:23.9421740Z call_function aten_view_copy_default_433 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_161, [1, 8, 512]) {} 2025-06-05T19:09:23.9422190Z call_function aten_relu_default_42 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_433,) {} 2025-06-05T19:09:23.9422650Z call_function aten_view_copy_default_434 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_42, [8, 512]) {} 2025-06-05T19:09:23.9423270Z call_function aten_addmm_default_162 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_ffn_2_output_dense_bias, aten_view_copy_default_434, aten_permute_copy_default_163) {} 2025-06-05T19:09:23.9423730Z call_function aten_view_copy_default_435 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_162, [1, 8, 128]) {} 2025-06-05T19:09:23.9424240Z call_function aten_add_tensor_162 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_435, aten_add_tensor_161) {} 2025-06-05T19:09:23.9424750Z call_function aten_mul_tensor_87 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_162, p_encoder_layer_10_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9425280Z call_function aten_add_tensor_163 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_87, p_encoder_layer_10_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9425770Z call_function aten_view_copy_default_436 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_163, [8, 128]) {} 2025-06-05T19:09:23.9426390Z call_function aten_addmm_default_163 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_intermediate_dense_bias, aten_view_copy_default_436, aten_permute_copy_default_165) {} 2025-06-05T19:09:23.9426870Z call_function aten_view_copy_default_437 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_163, [1, 8, 512]) {} 2025-06-05T19:09:23.9427320Z call_function aten_relu_default_43 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_437,) {} 2025-06-05T19:09:23.9427780Z call_function aten_view_copy_default_438 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_43, [8, 512]) {} 2025-06-05T19:09:23.9428420Z call_function aten_addmm_default_164 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_output_dense_bias, aten_view_copy_default_438, aten_permute_copy_default_156) {} 2025-06-05T19:09:23.9428880Z call_function aten_view_copy_default_439 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_164, [1, 8, 128]) {} 2025-06-05T19:09:23.9429380Z call_function aten_add_tensor_164 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_439, aten_add_tensor_163) {} 2025-06-05T19:09:23.9429890Z call_function aten_mul_tensor_88 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_164, p_encoder_layer_10_output_layernorm_weight) {} 2025-06-05T19:09:23.9430410Z call_function aten_add_tensor_165 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_88, p_encoder_layer_10_output_layernorm_bias) {} 2025-06-05T19:09:23.9430880Z call_function aten_view_copy_default_440 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_165, [8, 128]) {} 2025-06-05T19:09:23.9431500Z call_function aten_addmm_default_165 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_10_output_bottleneck_dense_bias, aten_view_copy_default_440, aten_permute_copy_default_155) {} 2025-06-05T19:09:23.9431990Z call_function aten_view_copy_default_441 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_165, [1, 8, 512]) {} 2025-06-05T19:09:23.9432540Z call_function aten_clone_default_33 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_441,) {} 2025-06-05T19:09:23.9433040Z call_function aten_add_tensor_166 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_33, aten_add_tensor_152) {} 2025-06-05T19:09:23.9433580Z call_function aten_mul_tensor_89 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_166, p_encoder_layer_10_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9434120Z call_function aten_add_tensor_167 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_89, p_encoder_layer_10_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9434580Z call_function aten_view_copy_default_442 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_167, [8, 512]) {} 2025-06-05T19:09:23.9435030Z call_function aten_view_copy_default_443 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_167, [8, 512]) {} 2025-06-05T19:09:23.9435490Z call_function aten_view_copy_default_444 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_167, [8, 512]) {} 2025-06-05T19:09:23.9436130Z call_function aten_addmm_default_166 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_bottleneck_input_dense_bias, aten_view_copy_default_442, aten_permute_copy_default_172) {} 2025-06-05T19:09:23.9436750Z call_function aten_addmm_default_167 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_bottleneck_attention_dense_bias, aten_view_copy_default_443, aten_permute_copy_default_173) {} 2025-06-05T19:09:23.9437380Z call_function aten_addmm_default_168 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_attention_self_value_bias, aten_view_copy_default_444, aten_permute_copy_default_169) {} 2025-06-05T19:09:23.9437890Z call_function aten_view_copy_default_445 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_166, [1, 8, 128]) {} 2025-06-05T19:09:23.9438350Z call_function aten_view_copy_default_446 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_167, [1, 8, 128]) {} 2025-06-05T19:09:23.9438830Z call_function aten_view_copy_default_447 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_168, [1, 8, 128]) {} 2025-06-05T19:09:23.9439350Z call_function aten_mul_tensor_90 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_445, p_encoder_layer_11_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9439870Z call_function aten_mul_tensor_91 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_446, p_encoder_layer_11_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9440340Z call_function aten_view_copy_default_448 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_447, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9440880Z call_function aten_add_tensor_168 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_90, p_encoder_layer_11_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9441460Z call_function aten_add_tensor_169 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_91, p_encoder_layer_11_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9441950Z call_function aten_permute_copy_default_416 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_448, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9442420Z call_function aten_view_copy_default_449 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_169, [8, 128]) {} 2025-06-05T19:09:23.9442920Z call_function aten_view_copy_default_450 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_169, [8, 128]) {} 2025-06-05T19:09:23.9443470Z call_function aten_expand_copy_default_44 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_416, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9444090Z call_function aten_addmm_default_169 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_attention_self_query_bias, aten_view_copy_default_449, aten_permute_copy_default_167) {} 2025-06-05T19:09:23.9444700Z call_function aten_addmm_default_170 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_attention_self_key_bias, aten_view_copy_default_450, aten_permute_copy_default_168) {} 2025-06-05T19:09:23.9445170Z call_function aten_view_copy_default_451 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_44, [4, 8, 32]) {} 2025-06-05T19:09:23.9445640Z call_function aten_view_copy_default_452 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_169, [1, 8, 128]) {} 2025-06-05T19:09:23.9446100Z call_function aten_view_copy_default_453 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_170, [1, 8, 128]) {} 2025-06-05T19:09:23.9446590Z call_function aten_view_copy_default_454 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_452, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9447070Z call_function aten_view_copy_default_455 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_453, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9447570Z call_function aten_permute_copy_default_417 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_454, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9448090Z call_function aten_permute_copy_default_418 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_455, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9448630Z call_function aten_expand_copy_default_45 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_417, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9449150Z call_function aten_permute_copy_default_419 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_418, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9449610Z call_function aten_view_copy_default_456 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_45, [4, 8, 32]) {} 2025-06-05T19:09:23.9450150Z call_function aten_expand_copy_default_46 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_419, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9450620Z call_function aten_view_copy_default_457 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_46, [4, 32, 8]) {} 2025-06-05T19:09:23.9451090Z call_function aten_bmm_default_22 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_456, aten_view_copy_default_457) {} 2025-06-05T19:09:23.9451560Z call_function aten_view_copy_default_458 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_22, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9452090Z call_function aten_div_tensor_11 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_458, _lifted_tensor_constant14) {} 2025-06-05T19:09:23.9452570Z call_function aten_add_tensor_170 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_11, aten_mul_tensor) {} 2025-06-05T19:09:23.9453110Z call_function aten__softmax_default_11 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_170, -1, False) {} 2025-06-05T19:09:23.9453600Z call_function aten_clone_default_34 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_11,) {} 2025-06-05T19:09:23.9454150Z call_function aten_expand_copy_default_47 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_34, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9454610Z call_function aten_view_copy_default_459 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_47, [4, 8, 8]) {} 2025-06-05T19:09:23.9455080Z call_function aten_bmm_default_23 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_459, aten_view_copy_default_451) {} 2025-06-05T19:09:23.9455530Z call_function aten_view_copy_default_460 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_23, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9456010Z call_function aten_permute_copy_default_420 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_460, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9456550Z call_function aten_clone_default_35 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_420,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9457030Z call_function aten_view_copy_default_461 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_35, [1, 8, 128]) {} 2025-06-05T19:09:23.9457500Z call_function aten_view_copy_default_462 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_461, [8, 128]) {} 2025-06-05T19:09:23.9458160Z call_function aten_addmm_default_171 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_attention_output_dense_bias, aten_view_copy_default_462, aten_permute_copy_default_166) {} 2025-06-05T19:09:23.9458620Z call_function aten_view_copy_default_463 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_171, [1, 8, 128]) {} 2025-06-05T19:09:23.9459150Z call_function aten_add_tensor_171 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_463, aten_add_tensor_168) {} 2025-06-05T19:09:23.9459670Z call_function aten_mul_tensor_92 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_171, p_encoder_layer_11_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9460210Z call_function aten_add_tensor_172 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_92, p_encoder_layer_11_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9460670Z call_function aten_view_copy_default_464 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_172, [8, 128]) {} 2025-06-05T19:09:23.9461280Z call_function aten_addmm_default_172 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_0_intermediate_dense_bias, aten_view_copy_default_464, aten_permute_copy_default_175) {} 2025-06-05T19:09:23.9461780Z call_function aten_view_copy_default_465 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_172, [1, 8, 512]) {} 2025-06-05T19:09:23.9462220Z call_function aten_relu_default_44 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_465,) {} 2025-06-05T19:09:23.9462670Z call_function aten_view_copy_default_466 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_44, [8, 512]) {} 2025-06-05T19:09:23.9463320Z call_function aten_addmm_default_173 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_0_output_dense_bias, aten_view_copy_default_466, aten_permute_copy_default_174) {} 2025-06-05T19:09:23.9463790Z call_function aten_view_copy_default_467 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_173, [1, 8, 128]) {} 2025-06-05T19:09:23.9464310Z call_function aten_add_tensor_173 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_467, aten_add_tensor_172) {} 2025-06-05T19:09:23.9464810Z call_function aten_mul_tensor_93 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_173, p_encoder_layer_11_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9465340Z call_function aten_add_tensor_174 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_93, p_encoder_layer_11_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9465800Z call_function aten_view_copy_default_468 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_174, [8, 128]) {} 2025-06-05T19:09:23.9466410Z call_function aten_addmm_default_174 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_1_intermediate_dense_bias, aten_view_copy_default_468, aten_permute_copy_default_177) {} 2025-06-05T19:09:23.9466890Z call_function aten_view_copy_default_469 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_174, [1, 8, 512]) {} 2025-06-05T19:09:23.9467320Z call_function aten_relu_default_45 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_469,) {} 2025-06-05T19:09:23.9467770Z call_function aten_view_copy_default_470 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_45, [8, 512]) {} 2025-06-05T19:09:23.9468410Z call_function aten_addmm_default_175 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_1_output_dense_bias, aten_view_copy_default_470, aten_permute_copy_default_176) {} 2025-06-05T19:09:23.9468880Z call_function aten_view_copy_default_471 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_175, [1, 8, 128]) {} 2025-06-05T19:09:23.9469420Z call_function aten_add_tensor_175 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_471, aten_add_tensor_174) {} 2025-06-05T19:09:23.9469920Z call_function aten_mul_tensor_94 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_175, p_encoder_layer_11_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9470460Z call_function aten_add_tensor_176 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_94, p_encoder_layer_11_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9470910Z call_function aten_view_copy_default_472 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_176, [8, 128]) {} 2025-06-05T19:09:23.9471520Z call_function aten_addmm_default_176 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_2_intermediate_dense_bias, aten_view_copy_default_472, aten_permute_copy_default_179) {} 2025-06-05T19:09:23.9472000Z call_function aten_view_copy_default_473 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_176, [1, 8, 512]) {} 2025-06-05T19:09:23.9472440Z call_function aten_relu_default_46 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_473,) {} 2025-06-05T19:09:23.9472890Z call_function aten_view_copy_default_474 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_46, [8, 512]) {} 2025-06-05T19:09:23.9473550Z call_function aten_addmm_default_177 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_ffn_2_output_dense_bias, aten_view_copy_default_474, aten_permute_copy_default_178) {} 2025-06-05T19:09:23.9474020Z call_function aten_view_copy_default_475 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_177, [1, 8, 128]) {} 2025-06-05T19:09:23.9474550Z call_function aten_add_tensor_177 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_475, aten_add_tensor_176) {} 2025-06-05T19:09:23.9475050Z call_function aten_mul_tensor_95 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_177, p_encoder_layer_11_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9475580Z call_function aten_add_tensor_178 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_95, p_encoder_layer_11_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9476040Z call_function aten_view_copy_default_476 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_178, [8, 128]) {} 2025-06-05T19:09:23.9476660Z call_function aten_addmm_default_178 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_intermediate_dense_bias, aten_view_copy_default_476, aten_permute_copy_default_180) {} 2025-06-05T19:09:23.9477130Z call_function aten_view_copy_default_477 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_178, [1, 8, 512]) {} 2025-06-05T19:09:23.9477560Z call_function aten_relu_default_47 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_477,) {} 2025-06-05T19:09:23.9478070Z call_function aten_view_copy_default_478 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_47, [8, 512]) {} 2025-06-05T19:09:23.9478690Z call_function aten_addmm_default_179 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_output_dense_bias, aten_view_copy_default_478, aten_permute_copy_default_171) {} 2025-06-05T19:09:23.9479170Z call_function aten_view_copy_default_479 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_179, [1, 8, 128]) {} 2025-06-05T19:09:23.9479710Z call_function aten_add_tensor_179 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_479, aten_add_tensor_178) {} 2025-06-05T19:09:23.9480230Z call_function aten_mul_tensor_96 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_179, p_encoder_layer_11_output_layernorm_weight) {} 2025-06-05T19:09:23.9480780Z call_function aten_add_tensor_180 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_96, p_encoder_layer_11_output_layernorm_bias) {} 2025-06-05T19:09:23.9481230Z call_function aten_view_copy_default_480 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_180, [8, 128]) {} 2025-06-05T19:09:23.9481870Z call_function aten_addmm_default_180 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_11_output_bottleneck_dense_bias, aten_view_copy_default_480, aten_permute_copy_default_170) {} 2025-06-05T19:09:23.9482340Z call_function aten_view_copy_default_481 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_180, [1, 8, 512]) {} 2025-06-05T19:09:23.9482860Z call_function aten_clone_default_36 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_481,) {} 2025-06-05T19:09:23.9483400Z call_function aten_add_tensor_181 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_36, aten_add_tensor_167) {} 2025-06-05T19:09:23.9483920Z call_function aten_mul_tensor_97 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_181, p_encoder_layer_11_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9484460Z call_function aten_add_tensor_182 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_97, p_encoder_layer_11_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9484940Z call_function aten_view_copy_default_482 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_182, [8, 512]) {} 2025-06-05T19:09:23.9485390Z call_function aten_view_copy_default_483 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_182, [8, 512]) {} 2025-06-05T19:09:23.9485850Z call_function aten_view_copy_default_484 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_182, [8, 512]) {} 2025-06-05T19:09:23.9486450Z call_function aten_addmm_default_181 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_bottleneck_input_dense_bias, aten_view_copy_default_482, aten_permute_copy_default_187) {} 2025-06-05T19:09:23.9487090Z call_function aten_addmm_default_182 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_bottleneck_attention_dense_bias, aten_view_copy_default_483, aten_permute_copy_default_188) {} 2025-06-05T19:09:23.9487700Z call_function aten_addmm_default_183 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_attention_self_value_bias, aten_view_copy_default_484, aten_permute_copy_default_184) {} 2025-06-05T19:09:23.9488170Z call_function aten_view_copy_default_485 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_181, [1, 8, 128]) {} 2025-06-05T19:09:23.9488680Z call_function aten_view_copy_default_486 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_182, [1, 8, 128]) {} 2025-06-05T19:09:23.9489140Z call_function aten_view_copy_default_487 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_183, [1, 8, 128]) {} 2025-06-05T19:09:23.9489660Z call_function aten_mul_tensor_98 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_485, p_encoder_layer_12_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9490240Z call_function aten_mul_tensor_99 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_486, p_encoder_layer_12_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9490700Z call_function aten_view_copy_default_488 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_487, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9491250Z call_function aten_add_tensor_183 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_98, p_encoder_layer_12_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9491790Z call_function aten_add_tensor_184 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_99, p_encoder_layer_12_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9492310Z call_function aten_permute_copy_default_421 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_488, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9492760Z call_function aten_view_copy_default_489 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_184, [8, 128]) {} 2025-06-05T19:09:23.9493260Z call_function aten_view_copy_default_490 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_184, [8, 128]) {} 2025-06-05T19:09:23.9493910Z call_function aten_expand_copy_default_48 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_421, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9494540Z call_function aten_addmm_default_184 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_attention_self_query_bias, aten_view_copy_default_489, aten_permute_copy_default_182) {} 2025-06-05T19:09:23.9495170Z call_function aten_addmm_default_185 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_attention_self_key_bias, aten_view_copy_default_490, aten_permute_copy_default_183) {} 2025-06-05T19:09:23.9495640Z call_function aten_view_copy_default_491 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_48, [4, 8, 32]) {} 2025-06-05T19:09:23.9496100Z call_function aten_view_copy_default_492 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_184, [1, 8, 128]) {} 2025-06-05T19:09:23.9496560Z call_function aten_view_copy_default_493 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_185, [1, 8, 128]) {} 2025-06-05T19:09:23.9497020Z call_function aten_view_copy_default_494 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_492, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9497500Z call_function aten_view_copy_default_495 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_493, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9497980Z call_function aten_permute_copy_default_422 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_494, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9498480Z call_function aten_permute_copy_default_423 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_495, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9499080Z call_function aten_expand_copy_default_49 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_422, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9499570Z call_function aten_permute_copy_default_424 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_423, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9500050Z call_function aten_view_copy_default_496 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_49, [4, 8, 32]) {} 2025-06-05T19:09:23.9500590Z call_function aten_expand_copy_default_50 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_424, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9501060Z call_function aten_view_copy_default_497 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_50, [4, 32, 8]) {} 2025-06-05T19:09:23.9501530Z call_function aten_bmm_default_24 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_496, aten_view_copy_default_497) {} 2025-06-05T19:09:23.9501980Z call_function aten_view_copy_default_498 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_24, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9502490Z call_function aten_div_tensor_12 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_498, _lifted_tensor_constant15) {} 2025-06-05T19:09:23.9502970Z call_function aten_add_tensor_185 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_12, aten_mul_tensor) {} 2025-06-05T19:09:23.9503480Z call_function aten__softmax_default_12 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_185, -1, False) {} 2025-06-05T19:09:23.9504010Z call_function aten_clone_default_37 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_12,) {} 2025-06-05T19:09:23.9504530Z call_function aten_expand_copy_default_51 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_37, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9505020Z call_function aten_view_copy_default_499 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_51, [4, 8, 8]) {} 2025-06-05T19:09:23.9505480Z call_function aten_bmm_default_25 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_499, aten_view_copy_default_491) {} 2025-06-05T19:09:23.9505940Z call_function aten_view_copy_default_500 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_25, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9506420Z call_function aten_permute_copy_default_425 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_500, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9506940Z call_function aten_clone_default_38 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_425,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9507420Z call_function aten_view_copy_default_501 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_38, [1, 8, 128]) {} 2025-06-05T19:09:23.9507890Z call_function aten_view_copy_default_502 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_501, [8, 128]) {} 2025-06-05T19:09:23.9508510Z call_function aten_addmm_default_186 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_attention_output_dense_bias, aten_view_copy_default_502, aten_permute_copy_default_181) {} 2025-06-05T19:09:23.9509010Z call_function aten_view_copy_default_503 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_186, [1, 8, 128]) {} 2025-06-05T19:09:23.9509520Z call_function aten_add_tensor_186 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_503, aten_add_tensor_183) {} 2025-06-05T19:09:23.9510060Z call_function aten_mul_tensor_100 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_186, p_encoder_layer_12_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9510600Z call_function aten_add_tensor_187 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_100, p_encoder_layer_12_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9511050Z call_function aten_view_copy_default_504 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_187, [8, 128]) {} 2025-06-05T19:09:23.9511660Z call_function aten_addmm_default_187 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_0_intermediate_dense_bias, aten_view_copy_default_504, aten_permute_copy_default_190) {} 2025-06-05T19:09:23.9512120Z call_function aten_view_copy_default_505 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_187, [1, 8, 512]) {} 2025-06-05T19:09:23.9512540Z call_function aten_relu_default_48 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_505,) {} 2025-06-05T19:09:23.9513000Z call_function aten_view_copy_default_506 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_48, [8, 512]) {} 2025-06-05T19:09:23.9513660Z call_function aten_addmm_default_188 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_0_output_dense_bias, aten_view_copy_default_506, aten_permute_copy_default_189) {} 2025-06-05T19:09:23.9514170Z call_function aten_view_copy_default_507 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_188, [1, 8, 128]) {} 2025-06-05T19:09:23.9514680Z call_function aten_add_tensor_188 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_507, aten_add_tensor_187) {} 2025-06-05T19:09:23.9515210Z call_function aten_mul_tensor_101 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_188, p_encoder_layer_12_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9515730Z call_function aten_add_tensor_189 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_101, p_encoder_layer_12_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9516190Z call_function aten_view_copy_default_508 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_189, [8, 128]) {} 2025-06-05T19:09:23.9516790Z call_function aten_addmm_default_189 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_1_intermediate_dense_bias, aten_view_copy_default_508, aten_permute_copy_default_192) {} 2025-06-05T19:09:23.9517260Z call_function aten_view_copy_default_509 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_189, [1, 8, 512]) {} 2025-06-05T19:09:23.9517680Z call_function aten_relu_default_49 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_509,) {} 2025-06-05T19:09:23.9518130Z call_function aten_view_copy_default_510 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_49, [8, 512]) {} 2025-06-05T19:09:23.9518820Z call_function aten_addmm_default_190 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_1_output_dense_bias, aten_view_copy_default_510, aten_permute_copy_default_191) {} 2025-06-05T19:09:23.9519320Z call_function aten_view_copy_default_511 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_190, [1, 8, 128]) {} 2025-06-05T19:09:23.9519830Z call_function aten_add_tensor_190 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_511, aten_add_tensor_189) {} 2025-06-05T19:09:23.9520360Z call_function aten_mul_tensor_102 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_190, p_encoder_layer_12_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9520890Z call_function aten_add_tensor_191 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_102, p_encoder_layer_12_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9521340Z call_function aten_view_copy_default_512 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_191, [8, 128]) {} 2025-06-05T19:09:23.9521950Z call_function aten_addmm_default_191 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_2_intermediate_dense_bias, aten_view_copy_default_512, aten_permute_copy_default_194) {} 2025-06-05T19:09:23.9522410Z call_function aten_view_copy_default_513 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_191, [1, 8, 512]) {} 2025-06-05T19:09:23.9522840Z call_function aten_relu_default_50 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_513,) {} 2025-06-05T19:09:23.9523310Z call_function aten_view_copy_default_514 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_50, [8, 512]) {} 2025-06-05T19:09:23.9523910Z call_function aten_addmm_default_192 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_ffn_2_output_dense_bias, aten_view_copy_default_514, aten_permute_copy_default_193) {} 2025-06-05T19:09:23.9524410Z call_function aten_view_copy_default_515 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_192, [1, 8, 128]) {} 2025-06-05T19:09:23.9524920Z call_function aten_add_tensor_192 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_515, aten_add_tensor_191) {} 2025-06-05T19:09:23.9525440Z call_function aten_mul_tensor_103 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_192, p_encoder_layer_12_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9525970Z call_function aten_add_tensor_193 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_103, p_encoder_layer_12_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9526430Z call_function aten_view_copy_default_516 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_193, [8, 128]) {} 2025-06-05T19:09:23.9527040Z call_function aten_addmm_default_193 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_intermediate_dense_bias, aten_view_copy_default_516, aten_permute_copy_default_195) {} 2025-06-05T19:09:23.9527500Z call_function aten_view_copy_default_517 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_193, [1, 8, 512]) {} 2025-06-05T19:09:23.9527920Z call_function aten_relu_default_51 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_517,) {} 2025-06-05T19:09:23.9528390Z call_function aten_view_copy_default_518 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_51, [8, 512]) {} 2025-06-05T19:09:23.9529000Z call_function aten_addmm_default_194 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_output_dense_bias, aten_view_copy_default_518, aten_permute_copy_default_186) {} 2025-06-05T19:09:23.9529500Z call_function aten_view_copy_default_519 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_194, [1, 8, 128]) {} 2025-06-05T19:09:23.9530000Z call_function aten_add_tensor_194 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_519, aten_add_tensor_193) {} 2025-06-05T19:09:23.9530540Z call_function aten_mul_tensor_104 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_194, p_encoder_layer_12_output_layernorm_weight) {} 2025-06-05T19:09:23.9531070Z call_function aten_add_tensor_195 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_104, p_encoder_layer_12_output_layernorm_bias) {} 2025-06-05T19:09:23.9531520Z call_function aten_view_copy_default_520 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_195, [8, 128]) {} 2025-06-05T19:09:23.9532130Z call_function aten_addmm_default_195 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_12_output_bottleneck_dense_bias, aten_view_copy_default_520, aten_permute_copy_default_185) {} 2025-06-05T19:09:23.9532590Z call_function aten_view_copy_default_521 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_195, [1, 8, 512]) {} 2025-06-05T19:09:23.9533140Z call_function aten_clone_default_39 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_521,) {} 2025-06-05T19:09:23.9533660Z call_function aten_add_tensor_196 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_39, aten_add_tensor_182) {} 2025-06-05T19:09:23.9534180Z call_function aten_mul_tensor_105 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_196, p_encoder_layer_12_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9534800Z call_function aten_add_tensor_197 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_105, p_encoder_layer_12_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9535260Z call_function aten_view_copy_default_522 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_197, [8, 512]) {} 2025-06-05T19:09:23.9535770Z call_function aten_view_copy_default_523 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_197, [8, 512]) {} 2025-06-05T19:09:23.9536220Z call_function aten_view_copy_default_524 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_197, [8, 512]) {} 2025-06-05T19:09:23.9536830Z call_function aten_addmm_default_196 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_bottleneck_input_dense_bias, aten_view_copy_default_522, aten_permute_copy_default_202) {} 2025-06-05T19:09:23.9537470Z call_function aten_addmm_default_197 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_bottleneck_attention_dense_bias, aten_view_copy_default_523, aten_permute_copy_default_203) {} 2025-06-05T19:09:23.9538070Z call_function aten_addmm_default_198 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_attention_self_value_bias, aten_view_copy_default_524, aten_permute_copy_default_199) {} 2025-06-05T19:09:23.9538550Z call_function aten_view_copy_default_525 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_196, [1, 8, 128]) {} 2025-06-05T19:09:23.9539040Z call_function aten_view_copy_default_526 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_197, [1, 8, 128]) {} 2025-06-05T19:09:23.9539490Z call_function aten_view_copy_default_527 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_198, [1, 8, 128]) {} 2025-06-05T19:09:23.9540060Z call_function aten_mul_tensor_106 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_525, p_encoder_layer_13_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9540580Z call_function aten_mul_tensor_107 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_526, p_encoder_layer_13_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9541070Z call_function aten_view_copy_default_528 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_527, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9541610Z call_function aten_add_tensor_198 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_106, p_encoder_layer_13_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9542160Z call_function aten_add_tensor_199 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_107, p_encoder_layer_13_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9542640Z call_function aten_permute_copy_default_426 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_528, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9543090Z call_function aten_view_copy_default_529 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_199, [8, 128]) {} 2025-06-05T19:09:23.9543590Z call_function aten_view_copy_default_530 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_199, [8, 128]) {} 2025-06-05T19:09:23.9544150Z call_function aten_expand_copy_default_52 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_426, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9544760Z call_function aten_addmm_default_199 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_attention_self_query_bias, aten_view_copy_default_529, aten_permute_copy_default_197) {} 2025-06-05T19:09:23.9545400Z call_function aten_addmm_default_200 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_attention_self_key_bias, aten_view_copy_default_530, aten_permute_copy_default_198) {} 2025-06-05T19:09:23.9545870Z call_function aten_view_copy_default_531 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_52, [4, 8, 32]) {} 2025-06-05T19:09:23.9546350Z call_function aten_view_copy_default_532 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_199, [1, 8, 128]) {} 2025-06-05T19:09:23.9546810Z call_function aten_view_copy_default_533 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_200, [1, 8, 128]) {} 2025-06-05T19:09:23.9547270Z call_function aten_view_copy_default_534 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_532, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9547740Z call_function aten_view_copy_default_535 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_533, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9548220Z call_function aten_permute_copy_default_427 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_534, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9548720Z call_function aten_permute_copy_default_428 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_535, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9549270Z call_function aten_expand_copy_default_53 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_427, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9549760Z call_function aten_permute_copy_default_429 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_428, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9550260Z call_function aten_view_copy_default_536 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_53, [4, 8, 32]) {} 2025-06-05T19:09:23.9550800Z call_function aten_expand_copy_default_54 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_429, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9551300Z call_function aten_view_copy_default_537 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_54, [4, 32, 8]) {} 2025-06-05T19:09:23.9551770Z call_function aten_bmm_default_26 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_536, aten_view_copy_default_537) {} 2025-06-05T19:09:23.9552230Z call_function aten_view_copy_default_538 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_26, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9552710Z call_function aten_div_tensor_13 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_538, _lifted_tensor_constant16) {} 2025-06-05T19:09:23.9553190Z call_function aten_add_tensor_200 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_13, aten_mul_tensor) {} 2025-06-05T19:09:23.9553700Z call_function aten__softmax_default_13 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_200, -1, False) {} 2025-06-05T19:09:23.9554220Z call_function aten_clone_default_40 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_13,) {} 2025-06-05T19:09:23.9554730Z call_function aten_expand_copy_default_55 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_40, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9555260Z call_function aten_view_copy_default_539 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_55, [4, 8, 8]) {} 2025-06-05T19:09:23.9555730Z call_function aten_bmm_default_27 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_539, aten_view_copy_default_531) {} 2025-06-05T19:09:23.9556200Z call_function aten_view_copy_default_540 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_27, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9556680Z call_function aten_permute_copy_default_430 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_540, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9557210Z call_function aten_clone_default_41 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_430,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9557670Z call_function aten_view_copy_default_541 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_41, [1, 8, 128]) {} 2025-06-05T19:09:23.9558150Z call_function aten_view_copy_default_542 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_541, [8, 128]) {} 2025-06-05T19:09:23.9558760Z call_function aten_addmm_default_201 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_attention_output_dense_bias, aten_view_copy_default_542, aten_permute_copy_default_196) {} 2025-06-05T19:09:23.9559240Z call_function aten_view_copy_default_543 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_201, [1, 8, 128]) {} 2025-06-05T19:09:23.9559790Z call_function aten_add_tensor_201 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_543, aten_add_tensor_198) {} 2025-06-05T19:09:23.9560310Z call_function aten_mul_tensor_108 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_201, p_encoder_layer_13_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9560880Z call_function aten_add_tensor_202 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_108, p_encoder_layer_13_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9561330Z call_function aten_view_copy_default_544 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_202, [8, 128]) {} 2025-06-05T19:09:23.9561940Z call_function aten_addmm_default_202 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_0_intermediate_dense_bias, aten_view_copy_default_544, aten_permute_copy_default_205) {} 2025-06-05T19:09:23.9562400Z call_function aten_view_copy_default_545 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_202, [1, 8, 512]) {} 2025-06-05T19:09:23.9562810Z call_function aten_relu_default_52 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_545,) {} 2025-06-05T19:09:23.9563290Z call_function aten_view_copy_default_546 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_52, [8, 512]) {} 2025-06-05T19:09:23.9563890Z call_function aten_addmm_default_203 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_0_output_dense_bias, aten_view_copy_default_546, aten_permute_copy_default_204) {} 2025-06-05T19:09:23.9564380Z call_function aten_view_copy_default_547 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_203, [1, 8, 128]) {} 2025-06-05T19:09:23.9564930Z call_function aten_add_tensor_203 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_547, aten_add_tensor_202) {} 2025-06-05T19:09:23.9565440Z call_function aten_mul_tensor_109 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_203, p_encoder_layer_13_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9565990Z call_function aten_add_tensor_204 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_109, p_encoder_layer_13_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9566450Z call_function aten_view_copy_default_548 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_204, [8, 128]) {} 2025-06-05T19:09:23.9567060Z call_function aten_addmm_default_204 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_1_intermediate_dense_bias, aten_view_copy_default_548, aten_permute_copy_default_207) {} 2025-06-05T19:09:23.9567530Z call_function aten_view_copy_default_549 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_204, [1, 8, 512]) {} 2025-06-05T19:09:23.9567930Z call_function aten_relu_default_53 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_549,) {} 2025-06-05T19:09:23.9568410Z call_function aten_view_copy_default_550 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_53, [8, 512]) {} 2025-06-05T19:09:23.9569010Z call_function aten_addmm_default_205 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_1_output_dense_bias, aten_view_copy_default_550, aten_permute_copy_default_206) {} 2025-06-05T19:09:23.9569490Z call_function aten_view_copy_default_551 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_205, [1, 8, 128]) {} 2025-06-05T19:09:23.9570040Z call_function aten_add_tensor_205 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_551, aten_add_tensor_204) {} 2025-06-05T19:09:23.9570550Z call_function aten_mul_tensor_110 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_205, p_encoder_layer_13_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9571110Z call_function aten_add_tensor_206 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_110, p_encoder_layer_13_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9571570Z call_function aten_view_copy_default_552 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_206, [8, 128]) {} 2025-06-05T19:09:23.9572180Z call_function aten_addmm_default_206 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_2_intermediate_dense_bias, aten_view_copy_default_552, aten_permute_copy_default_209) {} 2025-06-05T19:09:23.9572640Z call_function aten_view_copy_default_553 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_206, [1, 8, 512]) {} 2025-06-05T19:09:23.9573050Z call_function aten_relu_default_54 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_553,) {} 2025-06-05T19:09:23.9573520Z call_function aten_view_copy_default_554 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_54, [8, 512]) {} 2025-06-05T19:09:23.9574130Z call_function aten_addmm_default_207 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_ffn_2_output_dense_bias, aten_view_copy_default_554, aten_permute_copy_default_208) {} 2025-06-05T19:09:23.9574620Z call_function aten_view_copy_default_555 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_207, [1, 8, 128]) {} 2025-06-05T19:09:23.9575170Z call_function aten_add_tensor_207 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_555, aten_add_tensor_206) {} 2025-06-05T19:09:23.9575690Z call_function aten_mul_tensor_111 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_207, p_encoder_layer_13_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9576240Z call_function aten_add_tensor_208 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_111, p_encoder_layer_13_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9576700Z call_function aten_view_copy_default_556 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_208, [8, 128]) {} 2025-06-05T19:09:23.9577310Z call_function aten_addmm_default_208 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_intermediate_dense_bias, aten_view_copy_default_556, aten_permute_copy_default_210) {} 2025-06-05T19:09:23.9577780Z call_function aten_view_copy_default_557 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_208, [1, 8, 512]) {} 2025-06-05T19:09:23.9578180Z call_function aten_relu_default_55 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_557,) {} 2025-06-05T19:09:23.9578660Z call_function aten_view_copy_default_558 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_55, [8, 512]) {} 2025-06-05T19:09:23.9579270Z call_function aten_addmm_default_209 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_output_dense_bias, aten_view_copy_default_558, aten_permute_copy_default_201) {} 2025-06-05T19:09:23.9579750Z call_function aten_view_copy_default_559 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_209, [1, 8, 128]) {} 2025-06-05T19:09:23.9580300Z call_function aten_add_tensor_209 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_559, aten_add_tensor_208) {} 2025-06-05T19:09:23.9580820Z call_function aten_mul_tensor_112 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_209, p_encoder_layer_13_output_layernorm_weight) {} 2025-06-05T19:09:23.9581370Z call_function aten_add_tensor_210 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_112, p_encoder_layer_13_output_layernorm_bias) {} 2025-06-05T19:09:23.9581820Z call_function aten_view_copy_default_560 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_210, [8, 128]) {} 2025-06-05T19:09:23.9582430Z call_function aten_addmm_default_210 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_13_output_bottleneck_dense_bias, aten_view_copy_default_560, aten_permute_copy_default_200) {} 2025-06-05T19:09:23.9582900Z call_function aten_view_copy_default_561 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_210, [1, 8, 512]) {} 2025-06-05T19:09:23.9583390Z call_function aten_clone_default_42 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_561,) {} 2025-06-05T19:09:23.9583910Z call_function aten_add_tensor_211 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_42, aten_add_tensor_197) {} 2025-06-05T19:09:23.9584430Z call_function aten_mul_tensor_113 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_211, p_encoder_layer_13_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9585000Z call_function aten_add_tensor_212 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_113, p_encoder_layer_13_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9585500Z call_function aten_view_copy_default_562 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_212, [8, 512]) {} 2025-06-05T19:09:23.9585960Z call_function aten_view_copy_default_563 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_212, [8, 512]) {} 2025-06-05T19:09:23.9586430Z call_function aten_view_copy_default_564 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_212, [8, 512]) {} 2025-06-05T19:09:23.9587040Z call_function aten_addmm_default_211 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_bottleneck_input_dense_bias, aten_view_copy_default_562, aten_permute_copy_default_217) {} 2025-06-05T19:09:23.9587650Z call_function aten_addmm_default_212 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_bottleneck_attention_dense_bias, aten_view_copy_default_563, aten_permute_copy_default_218) {} 2025-06-05T19:09:23.9588260Z call_function aten_addmm_default_213 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_attention_self_value_bias, aten_view_copy_default_564, aten_permute_copy_default_214) {} 2025-06-05T19:09:23.9588720Z call_function aten_view_copy_default_565 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_211, [1, 8, 128]) {} 2025-06-05T19:09:23.9589200Z call_function aten_view_copy_default_566 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_212, [1, 8, 128]) {} 2025-06-05T19:09:23.9589670Z call_function aten_view_copy_default_567 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_213, [1, 8, 128]) {} 2025-06-05T19:09:23.9590210Z call_function aten_mul_tensor_114 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_565, p_encoder_layer_14_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9590770Z call_function aten_mul_tensor_115 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_566, p_encoder_layer_14_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9591250Z call_function aten_view_copy_default_568 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_567, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9591820Z call_function aten_add_tensor_213 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_114, p_encoder_layer_14_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9592380Z call_function aten_add_tensor_214 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_115, p_encoder_layer_14_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9592870Z call_function aten_permute_copy_default_431 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_568, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9593340Z call_function aten_view_copy_default_569 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_214, [8, 128]) {} 2025-06-05T19:09:23.9593800Z call_function aten_view_copy_default_570 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_214, [8, 128]) {} 2025-06-05T19:09:23.9594360Z call_function aten_expand_copy_default_56 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_431, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9594970Z call_function aten_addmm_default_214 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_attention_self_query_bias, aten_view_copy_default_569, aten_permute_copy_default_212) {} 2025-06-05T19:09:23.9595610Z call_function aten_addmm_default_215 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_attention_self_key_bias, aten_view_copy_default_570, aten_permute_copy_default_213) {} 2025-06-05T19:09:23.9596140Z call_function aten_view_copy_default_571 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_56, [4, 8, 32]) {} 2025-06-05T19:09:23.9596610Z call_function aten_view_copy_default_572 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_214, [1, 8, 128]) {} 2025-06-05T19:09:23.9597090Z call_function aten_view_copy_default_573 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_215, [1, 8, 128]) {} 2025-06-05T19:09:23.9597560Z call_function aten_view_copy_default_574 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_572, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9598030Z call_function aten_view_copy_default_575 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_573, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9598510Z call_function aten_permute_copy_default_432 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_574, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9598990Z call_function aten_permute_copy_default_433 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_575, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9599540Z call_function aten_expand_copy_default_57 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_432, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9600050Z call_function aten_permute_copy_default_434 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_433, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9600510Z call_function aten_view_copy_default_576 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_57, [4, 8, 32]) {} 2025-06-05T19:09:23.9601090Z call_function aten_expand_copy_default_58 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_434, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9601570Z call_function aten_view_copy_default_577 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_58, [4, 32, 8]) {} 2025-06-05T19:09:23.9602060Z call_function aten_bmm_default_28 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_576, aten_view_copy_default_577) {} 2025-06-05T19:09:23.9602510Z call_function aten_view_copy_default_578 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_28, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9603000Z call_function aten_div_tensor_14 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_578, _lifted_tensor_constant17) {} 2025-06-05T19:09:23.9603480Z call_function aten_add_tensor_215 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_14, aten_mul_tensor) {} 2025-06-05T19:09:23.9603960Z call_function aten__softmax_default_14 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_215, -1, False) {} 2025-06-05T19:09:23.9604490Z call_function aten_clone_default_43 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_14,) {} 2025-06-05T19:09:23.9605030Z call_function aten_expand_copy_default_59 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_43, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9605500Z call_function aten_view_copy_default_579 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_59, [4, 8, 8]) {} 2025-06-05T19:09:23.9606010Z call_function aten_bmm_default_29 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_579, aten_view_copy_default_571) {} 2025-06-05T19:09:23.9606460Z call_function aten_view_copy_default_580 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_29, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9606970Z call_function aten_permute_copy_default_435 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_580, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9607490Z call_function aten_clone_default_44 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_435,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9607950Z call_function aten_view_copy_default_581 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_44, [1, 8, 128]) {} 2025-06-05T19:09:23.9608420Z call_function aten_view_copy_default_582 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_581, [8, 128]) {} 2025-06-05T19:09:23.9609030Z call_function aten_addmm_default_216 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_attention_output_dense_bias, aten_view_copy_default_582, aten_permute_copy_default_211) {} 2025-06-05T19:09:23.9609510Z call_function aten_view_copy_default_583 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_216, [1, 8, 128]) {} 2025-06-05T19:09:23.9610040Z call_function aten_add_tensor_216 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_583, aten_add_tensor_213) {} 2025-06-05T19:09:23.9610560Z call_function aten_mul_tensor_116 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_216, p_encoder_layer_14_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9611150Z call_function aten_add_tensor_217 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_116, p_encoder_layer_14_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9611610Z call_function aten_view_copy_default_584 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_217, [8, 128]) {} 2025-06-05T19:09:23.9612250Z call_function aten_addmm_default_217 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_0_intermediate_dense_bias, aten_view_copy_default_584, aten_permute_copy_default_220) {} 2025-06-05T19:09:23.9612710Z call_function aten_view_copy_default_585 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_217, [1, 8, 512]) {} 2025-06-05T19:09:23.9613120Z call_function aten_relu_default_56 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_585,) {} 2025-06-05T19:09:23.9613580Z call_function aten_view_copy_default_586 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_56, [8, 512]) {} 2025-06-05T19:09:23.9614190Z call_function aten_addmm_default_218 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_0_output_dense_bias, aten_view_copy_default_586, aten_permute_copy_default_219) {} 2025-06-05T19:09:23.9614680Z call_function aten_view_copy_default_587 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_218, [1, 8, 128]) {} 2025-06-05T19:09:23.9615220Z call_function aten_add_tensor_218 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_587, aten_add_tensor_217) {} 2025-06-05T19:09:23.9615730Z call_function aten_mul_tensor_117 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_218, p_encoder_layer_14_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9616310Z call_function aten_add_tensor_219 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_117, p_encoder_layer_14_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9616760Z call_function aten_view_copy_default_588 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_219, [8, 128]) {} 2025-06-05T19:09:23.9617390Z call_function aten_addmm_default_219 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_1_intermediate_dense_bias, aten_view_copy_default_588, aten_permute_copy_default_222) {} 2025-06-05T19:09:23.9617850Z call_function aten_view_copy_default_589 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_219, [1, 8, 512]) {} 2025-06-05T19:09:23.9618260Z call_function aten_relu_default_57 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_589,) {} 2025-06-05T19:09:23.9618710Z call_function aten_view_copy_default_590 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_57, [8, 512]) {} 2025-06-05T19:09:23.9619320Z call_function aten_addmm_default_220 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_1_output_dense_bias, aten_view_copy_default_590, aten_permute_copy_default_221) {} 2025-06-05T19:09:23.9619790Z call_function aten_view_copy_default_591 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_220, [1, 8, 128]) {} 2025-06-05T19:09:23.9620320Z call_function aten_add_tensor_220 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_591, aten_add_tensor_219) {} 2025-06-05T19:09:23.9620840Z call_function aten_mul_tensor_118 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_220, p_encoder_layer_14_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9621410Z call_function aten_add_tensor_221 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_118, p_encoder_layer_14_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9621870Z call_function aten_view_copy_default_592 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_221, [8, 128]) {} 2025-06-05T19:09:23.9622500Z call_function aten_addmm_default_221 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_2_intermediate_dense_bias, aten_view_copy_default_592, aten_permute_copy_default_224) {} 2025-06-05T19:09:23.9622960Z call_function aten_view_copy_default_593 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_221, [1, 8, 512]) {} 2025-06-05T19:09:23.9623370Z call_function aten_relu_default_58 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_593,) {} 2025-06-05T19:09:23.9623820Z call_function aten_view_copy_default_594 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_58, [8, 512]) {} 2025-06-05T19:09:23.9624420Z call_function aten_addmm_default_222 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_ffn_2_output_dense_bias, aten_view_copy_default_594, aten_permute_copy_default_223) {} 2025-06-05T19:09:23.9624910Z call_function aten_view_copy_default_595 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_222, [1, 8, 128]) {} 2025-06-05T19:09:23.9625430Z call_function aten_add_tensor_222 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_595, aten_add_tensor_221) {} 2025-06-05T19:09:23.9629830Z call_function aten_mul_tensor_119 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_222, p_encoder_layer_14_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9630470Z call_function aten_add_tensor_223 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_119, p_encoder_layer_14_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9630930Z call_function aten_view_copy_default_596 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_223, [8, 128]) {} 2025-06-05T19:09:23.9631560Z call_function aten_addmm_default_223 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_intermediate_dense_bias, aten_view_copy_default_596, aten_permute_copy_default_225) {} 2025-06-05T19:09:23.9632020Z call_function aten_view_copy_default_597 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_223, [1, 8, 512]) {} 2025-06-05T19:09:23.9632430Z call_function aten_relu_default_59 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_597,) {} 2025-06-05T19:09:23.9632890Z call_function aten_view_copy_default_598 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_59, [8, 512]) {} 2025-06-05T19:09:23.9633510Z call_function aten_addmm_default_224 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_output_dense_bias, aten_view_copy_default_598, aten_permute_copy_default_216) {} 2025-06-05T19:09:23.9633970Z call_function aten_view_copy_default_599 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_224, [1, 8, 128]) {} 2025-06-05T19:09:23.9634500Z call_function aten_add_tensor_224 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_599, aten_add_tensor_223) {} 2025-06-05T19:09:23.9635050Z call_function aten_mul_tensor_120 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_224, p_encoder_layer_14_output_layernorm_weight) {} 2025-06-05T19:09:23.9635580Z call_function aten_add_tensor_225 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_120, p_encoder_layer_14_output_layernorm_bias) {} 2025-06-05T19:09:23.9636050Z call_function aten_view_copy_default_600 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_225, [8, 128]) {} 2025-06-05T19:09:23.9636700Z call_function aten_addmm_default_225 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_14_output_bottleneck_dense_bias, aten_view_copy_default_600, aten_permute_copy_default_215) {} 2025-06-05T19:09:23.9637170Z call_function aten_view_copy_default_601 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_225, [1, 8, 512]) {} 2025-06-05T19:09:23.9637660Z call_function aten_clone_default_45 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_601,) {} 2025-06-05T19:09:23.9638160Z call_function aten_add_tensor_226 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_45, aten_add_tensor_212) {} 2025-06-05T19:09:23.9638700Z call_function aten_mul_tensor_121 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_226, p_encoder_layer_14_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9639250Z call_function aten_add_tensor_227 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_121, p_encoder_layer_14_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9639730Z call_function aten_view_copy_default_602 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_227, [8, 512]) {} 2025-06-05T19:09:23.9640240Z call_function aten_view_copy_default_603 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_227, [8, 512]) {} 2025-06-05T19:09:23.9640700Z call_function aten_view_copy_default_604 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_227, [8, 512]) {} 2025-06-05T19:09:23.9641310Z call_function aten_addmm_default_226 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_bottleneck_input_dense_bias, aten_view_copy_default_602, aten_permute_copy_default_232) {} 2025-06-05T19:09:23.9641940Z call_function aten_addmm_default_227 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_bottleneck_attention_dense_bias, aten_view_copy_default_603, aten_permute_copy_default_233) {} 2025-06-05T19:09:23.9642550Z call_function aten_addmm_default_228 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_attention_self_value_bias, aten_view_copy_default_604, aten_permute_copy_default_229) {} 2025-06-05T19:09:23.9643010Z call_function aten_view_copy_default_605 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_226, [1, 8, 128]) {} 2025-06-05T19:09:23.9643480Z call_function aten_view_copy_default_606 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_227, [1, 8, 128]) {} 2025-06-05T19:09:23.9643950Z call_function aten_view_copy_default_607 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_228, [1, 8, 128]) {} 2025-06-05T19:09:23.9644480Z call_function aten_mul_tensor_122 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_605, p_encoder_layer_15_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9645020Z call_function aten_mul_tensor_123 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_606, p_encoder_layer_15_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9645530Z call_function aten_view_copy_default_608 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_607, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9646080Z call_function aten_add_tensor_228 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_122, p_encoder_layer_15_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9646650Z call_function aten_add_tensor_229 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_123, p_encoder_layer_15_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9647130Z call_function aten_permute_copy_default_436 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_608, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9647590Z call_function aten_view_copy_default_609 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_229, [8, 128]) {} 2025-06-05T19:09:23.9648040Z call_function aten_view_copy_default_610 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_229, [8, 128]) {} 2025-06-05T19:09:23.9648570Z call_function aten_expand_copy_default_60 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_436, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9649220Z call_function aten_addmm_default_229 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_attention_self_query_bias, aten_view_copy_default_609, aten_permute_copy_default_227) {} 2025-06-05T19:09:23.9649820Z call_function aten_addmm_default_230 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_attention_self_key_bias, aten_view_copy_default_610, aten_permute_copy_default_228) {} 2025-06-05T19:09:23.9650310Z call_function aten_view_copy_default_611 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_60, [4, 8, 32]) {} 2025-06-05T19:09:23.9650820Z call_function aten_view_copy_default_612 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_229, [1, 8, 128]) {} 2025-06-05T19:09:23.9651290Z call_function aten_view_copy_default_613 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_230, [1, 8, 128]) {} 2025-06-05T19:09:23.9651770Z call_function aten_view_copy_default_614 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_612, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9652230Z call_function aten_view_copy_default_615 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_613, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9652710Z call_function aten_permute_copy_default_437 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_614, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9653190Z call_function aten_permute_copy_default_438 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_615, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9653720Z call_function aten_expand_copy_default_61 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_437, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9654230Z call_function aten_permute_copy_default_439 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_438, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9654700Z call_function aten_view_copy_default_616 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_61, [4, 8, 32]) {} 2025-06-05T19:09:23.9655250Z call_function aten_expand_copy_default_62 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_439, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9655760Z call_function aten_view_copy_default_617 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_62, [4, 32, 8]) {} 2025-06-05T19:09:23.9656240Z call_function aten_bmm_default_30 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_616, aten_view_copy_default_617) {} 2025-06-05T19:09:23.9656740Z call_function aten_view_copy_default_618 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_30, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9657220Z call_function aten_div_tensor_15 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_618, _lifted_tensor_constant18) {} 2025-06-05T19:09:23.9657700Z call_function aten_add_tensor_230 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_15, aten_mul_tensor) {} 2025-06-05T19:09:23.9658180Z call_function aten__softmax_default_15 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_230, -1, False) {} 2025-06-05T19:09:23.9658670Z call_function aten_clone_default_46 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_15,) {} 2025-06-05T19:09:23.9659220Z call_function aten_expand_copy_default_63 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_46, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9659680Z call_function aten_view_copy_default_619 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_63, [4, 8, 8]) {} 2025-06-05T19:09:23.9660180Z call_function aten_bmm_default_31 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_619, aten_view_copy_default_611) {} 2025-06-05T19:09:23.9660690Z call_function aten_view_copy_default_620 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_31, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9661180Z call_function aten_permute_copy_default_440 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_620, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9661730Z call_function aten_clone_default_47 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_440,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9662190Z call_function aten_view_copy_default_621 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_47, [1, 8, 128]) {} 2025-06-05T19:09:23.9662650Z call_function aten_view_copy_default_622 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_621, [8, 128]) {} 2025-06-05T19:09:23.9663260Z call_function aten_addmm_default_231 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_attention_output_dense_bias, aten_view_copy_default_622, aten_permute_copy_default_226) {} 2025-06-05T19:09:23.9663720Z call_function aten_view_copy_default_623 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_231, [1, 8, 128]) {} 2025-06-05T19:09:23.9664250Z call_function aten_add_tensor_231 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_623, aten_add_tensor_228) {} 2025-06-05T19:09:23.9664770Z call_function aten_mul_tensor_124 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_231, p_encoder_layer_15_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9665330Z call_function aten_add_tensor_232 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_124, p_encoder_layer_15_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9665840Z call_function aten_view_copy_default_624 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_232, [8, 128]) {} 2025-06-05T19:09:23.9666450Z call_function aten_addmm_default_232 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_0_intermediate_dense_bias, aten_view_copy_default_624, aten_permute_copy_default_235) {} 2025-06-05T19:09:23.9666940Z call_function aten_view_copy_default_625 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_232, [1, 8, 512]) {} 2025-06-05T19:09:23.9667340Z call_function aten_relu_default_60 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_625,) {} 2025-06-05T19:09:23.9667800Z call_function aten_view_copy_default_626 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_60, [8, 512]) {} 2025-06-05T19:09:23.9668420Z call_function aten_addmm_default_233 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_0_output_dense_bias, aten_view_copy_default_626, aten_permute_copy_default_234) {} 2025-06-05T19:09:23.9668880Z call_function aten_view_copy_default_627 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_233, [1, 8, 128]) {} 2025-06-05T19:09:23.9669450Z call_function aten_add_tensor_233 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_627, aten_add_tensor_232) {} 2025-06-05T19:09:23.9669970Z call_function aten_mul_tensor_125 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_233, p_encoder_layer_15_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9670520Z call_function aten_add_tensor_234 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_125, p_encoder_layer_15_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9671050Z call_function aten_view_copy_default_628 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_234, [8, 128]) {} 2025-06-05T19:09:23.9671650Z call_function aten_addmm_default_234 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_1_intermediate_dense_bias, aten_view_copy_default_628, aten_permute_copy_default_237) {} 2025-06-05T19:09:23.9672130Z call_function aten_view_copy_default_629 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_234, [1, 8, 512]) {} 2025-06-05T19:09:23.9672540Z call_function aten_relu_default_61 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_629,) {} 2025-06-05T19:09:23.9672990Z call_function aten_view_copy_default_630 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_61, [8, 512]) {} 2025-06-05T19:09:23.9673590Z call_function aten_addmm_default_235 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_1_output_dense_bias, aten_view_copy_default_630, aten_permute_copy_default_236) {} 2025-06-05T19:09:23.9674050Z call_function aten_view_copy_default_631 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_235, [1, 8, 128]) {} 2025-06-05T19:09:23.9674580Z call_function aten_add_tensor_235 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_631, aten_add_tensor_234) {} 2025-06-05T19:09:23.9675100Z call_function aten_mul_tensor_126 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_235, p_encoder_layer_15_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9675630Z call_function aten_add_tensor_236 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_126, p_encoder_layer_15_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9676130Z call_function aten_view_copy_default_632 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_236, [8, 128]) {} 2025-06-05T19:09:23.9676730Z call_function aten_addmm_default_236 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_2_intermediate_dense_bias, aten_view_copy_default_632, aten_permute_copy_default_239) {} 2025-06-05T19:09:23.9677230Z call_function aten_view_copy_default_633 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_236, [1, 8, 512]) {} 2025-06-05T19:09:23.9677630Z call_function aten_relu_default_62 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_633,) {} 2025-06-05T19:09:23.9678090Z call_function aten_view_copy_default_634 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_62, [8, 512]) {} 2025-06-05T19:09:23.9678690Z call_function aten_addmm_default_237 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_ffn_2_output_dense_bias, aten_view_copy_default_634, aten_permute_copy_default_238) {} 2025-06-05T19:09:23.9679150Z call_function aten_view_copy_default_635 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_237, [1, 8, 128]) {} 2025-06-05T19:09:23.9679670Z call_function aten_add_tensor_237 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_635, aten_add_tensor_236) {} 2025-06-05T19:09:23.9680200Z call_function aten_mul_tensor_127 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_237, p_encoder_layer_15_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9680730Z call_function aten_add_tensor_238 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_127, p_encoder_layer_15_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9681230Z call_function aten_view_copy_default_636 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_238, [8, 128]) {} 2025-06-05T19:09:23.9681840Z call_function aten_addmm_default_238 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_intermediate_dense_bias, aten_view_copy_default_636, aten_permute_copy_default_240) {} 2025-06-05T19:09:23.9682330Z call_function aten_view_copy_default_637 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_238, [1, 8, 512]) {} 2025-06-05T19:09:23.9682740Z call_function aten_relu_default_63 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_637,) {} 2025-06-05T19:09:23.9683190Z call_function aten_view_copy_default_638 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_63, [8, 512]) {} 2025-06-05T19:09:23.9683790Z call_function aten_addmm_default_239 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_output_dense_bias, aten_view_copy_default_638, aten_permute_copy_default_231) {} 2025-06-05T19:09:23.9684250Z call_function aten_view_copy_default_639 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_239, [1, 8, 128]) {} 2025-06-05T19:09:23.9684770Z call_function aten_add_tensor_239 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_639, aten_add_tensor_238) {} 2025-06-05T19:09:23.9685290Z call_function aten_mul_tensor_128 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_239, p_encoder_layer_15_output_layernorm_weight) {} 2025-06-05T19:09:23.9685830Z call_function aten_add_tensor_240 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_128, p_encoder_layer_15_output_layernorm_bias) {} 2025-06-05T19:09:23.9686330Z call_function aten_view_copy_default_640 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_240, [8, 128]) {} 2025-06-05T19:09:23.9686950Z call_function aten_addmm_default_240 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_15_output_bottleneck_dense_bias, aten_view_copy_default_640, aten_permute_copy_default_230) {} 2025-06-05T19:09:23.9687440Z call_function aten_view_copy_default_641 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_240, [1, 8, 512]) {} 2025-06-05T19:09:23.9687930Z call_function aten_clone_default_48 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_641,) {} 2025-06-05T19:09:23.9688420Z call_function aten_add_tensor_241 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_48, aten_add_tensor_227) {} 2025-06-05T19:09:23.9688940Z call_function aten_mul_tensor_129 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_241, p_encoder_layer_15_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9689480Z call_function aten_add_tensor_242 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_129, p_encoder_layer_15_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9689960Z call_function aten_view_copy_default_642 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_242, [8, 512]) {} 2025-06-05T19:09:23.9690430Z call_function aten_view_copy_default_643 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_242, [8, 512]) {} 2025-06-05T19:09:23.9690890Z call_function aten_view_copy_default_644 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_242, [8, 512]) {} 2025-06-05T19:09:23.9691540Z call_function aten_addmm_default_241 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_bottleneck_input_dense_bias, aten_view_copy_default_642, aten_permute_copy_default_247) {} 2025-06-05T19:09:23.9692150Z call_function aten_addmm_default_242 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_bottleneck_attention_dense_bias, aten_view_copy_default_643, aten_permute_copy_default_248) {} 2025-06-05T19:09:23.9692780Z call_function aten_addmm_default_243 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_attention_self_value_bias, aten_view_copy_default_644, aten_permute_copy_default_244) {} 2025-06-05T19:09:23.9693230Z call_function aten_view_copy_default_645 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_241, [1, 8, 128]) {} 2025-06-05T19:09:23.9693690Z call_function aten_view_copy_default_646 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_242, [1, 8, 128]) {} 2025-06-05T19:09:23.9694150Z call_function aten_view_copy_default_647 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_243, [1, 8, 128]) {} 2025-06-05T19:09:23.9694670Z call_function aten_mul_tensor_130 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_645, p_encoder_layer_16_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9695220Z call_function aten_mul_tensor_131 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_646, p_encoder_layer_16_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9695700Z call_function aten_view_copy_default_648 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_647, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9696250Z call_function aten_add_tensor_243 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_130, p_encoder_layer_16_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9696840Z call_function aten_add_tensor_244 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_131, p_encoder_layer_16_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9697330Z call_function aten_permute_copy_default_441 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_648, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9697820Z call_function aten_view_copy_default_649 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_244, [8, 128]) {} 2025-06-05T19:09:23.9698270Z call_function aten_view_copy_default_650 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_244, [8, 128]) {} 2025-06-05T19:09:23.9698810Z call_function aten_expand_copy_default_64 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_441, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9699420Z call_function aten_addmm_default_244 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_attention_self_query_bias, aten_view_copy_default_649, aten_permute_copy_default_242) {} 2025-06-05T19:09:23.9700030Z call_function aten_addmm_default_245 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_attention_self_key_bias, aten_view_copy_default_650, aten_permute_copy_default_243) {} 2025-06-05T19:09:23.9700550Z call_function aten_view_copy_default_651 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_64, [4, 8, 32]) {} 2025-06-05T19:09:23.9701040Z call_function aten_view_copy_default_652 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_244, [1, 8, 128]) {} 2025-06-05T19:09:23.9701500Z call_function aten_view_copy_default_653 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_245, [1, 8, 128]) {} 2025-06-05T19:09:23.9702050Z call_function aten_view_copy_default_654 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_652, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9702520Z call_function aten_view_copy_default_655 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_653, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9703040Z call_function aten_permute_copy_default_442 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_654, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9703520Z call_function aten_permute_copy_default_443 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_655, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9704060Z call_function aten_expand_copy_default_65 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_442, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9704550Z call_function aten_permute_copy_default_444 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_443, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9705020Z call_function aten_view_copy_default_656 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_65, [4, 8, 32]) {} 2025-06-05T19:09:23.9705590Z call_function aten_expand_copy_default_66 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_444, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9706090Z call_function aten_view_copy_default_657 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_66, [4, 32, 8]) {} 2025-06-05T19:09:23.9706560Z call_function aten_bmm_default_32 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_656, aten_view_copy_default_657) {} 2025-06-05T19:09:23.9707070Z call_function aten_view_copy_default_658 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_32, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9707560Z call_function aten_div_tensor_16 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_658, _lifted_tensor_constant19) {} 2025-06-05T19:09:23.9708060Z call_function aten_add_tensor_245 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_16, aten_mul_tensor) {} 2025-06-05T19:09:23.9708550Z call_function aten__softmax_default_16 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_245, -1, False) {} 2025-06-05T19:09:23.9709030Z call_function aten_clone_default_49 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_16,) {} 2025-06-05T19:09:23.9709550Z call_function aten_expand_copy_default_67 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_49, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9710050Z call_function aten_view_copy_default_659 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_67, [4, 8, 8]) {} 2025-06-05T19:09:23.9710520Z call_function aten_bmm_default_33 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_659, aten_view_copy_default_651) {} 2025-06-05T19:09:23.9710990Z call_function aten_view_copy_default_660 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_33, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9711520Z call_function aten_permute_copy_default_445 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_660, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9712040Z call_function aten_clone_default_50 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_445,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9712510Z call_function aten_view_copy_default_661 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_50, [1, 8, 128]) {} 2025-06-05T19:09:23.9712990Z call_function aten_view_copy_default_662 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_661, [8, 128]) {} 2025-06-05T19:09:23.9713600Z call_function aten_addmm_default_246 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_attention_output_dense_bias, aten_view_copy_default_662, aten_permute_copy_default_241) {} 2025-06-05T19:09:23.9714060Z call_function aten_view_copy_default_663 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_246, [1, 8, 128]) {} 2025-06-05T19:09:23.9714560Z call_function aten_add_tensor_246 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_663, aten_add_tensor_243) {} 2025-06-05T19:09:23.9715100Z call_function aten_mul_tensor_132 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_246, p_encoder_layer_16_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9715640Z call_function aten_add_tensor_247 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_132, p_encoder_layer_16_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9716110Z call_function aten_view_copy_default_664 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_247, [8, 128]) {} 2025-06-05T19:09:23.9716770Z call_function aten_addmm_default_247 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_0_intermediate_dense_bias, aten_view_copy_default_664, aten_permute_copy_default_250) {} 2025-06-05T19:09:23.9717240Z call_function aten_view_copy_default_665 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_247, [1, 8, 512]) {} 2025-06-05T19:09:23.9717680Z call_function aten_relu_default_64 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_665,) {} 2025-06-05T19:09:23.9718140Z call_function aten_view_copy_default_666 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_64, [8, 512]) {} 2025-06-05T19:09:23.9718750Z call_function aten_addmm_default_248 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_0_output_dense_bias, aten_view_copy_default_666, aten_permute_copy_default_249) {} 2025-06-05T19:09:23.9719210Z call_function aten_view_copy_default_667 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_248, [1, 8, 128]) {} 2025-06-05T19:09:23.9719720Z call_function aten_add_tensor_248 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_667, aten_add_tensor_247) {} 2025-06-05T19:09:23.9720250Z call_function aten_mul_tensor_133 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_248, p_encoder_layer_16_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9720780Z call_function aten_add_tensor_249 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_133, p_encoder_layer_16_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9721270Z call_function aten_view_copy_default_668 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_249, [8, 128]) {} 2025-06-05T19:09:23.9721940Z call_function aten_addmm_default_249 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_1_intermediate_dense_bias, aten_view_copy_default_668, aten_permute_copy_default_252) {} 2025-06-05T19:09:23.9722400Z call_function aten_view_copy_default_669 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_249, [1, 8, 512]) {} 2025-06-05T19:09:23.9722830Z call_function aten_relu_default_65 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_669,) {} 2025-06-05T19:09:23.9723290Z call_function aten_view_copy_default_670 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_65, [8, 512]) {} 2025-06-05T19:09:23.9723890Z call_function aten_addmm_default_250 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_1_output_dense_bias, aten_view_copy_default_670, aten_permute_copy_default_251) {} 2025-06-05T19:09:23.9724350Z call_function aten_view_copy_default_671 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_250, [1, 8, 128]) {} 2025-06-05T19:09:23.9724860Z call_function aten_add_tensor_250 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_671, aten_add_tensor_249) {} 2025-06-05T19:09:23.9725380Z call_function aten_mul_tensor_134 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_250, p_encoder_layer_16_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9725920Z call_function aten_add_tensor_251 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_134, p_encoder_layer_16_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9726390Z call_function aten_view_copy_default_672 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_251, [8, 128]) {} 2025-06-05T19:09:23.9727050Z call_function aten_addmm_default_251 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_2_intermediate_dense_bias, aten_view_copy_default_672, aten_permute_copy_default_254) {} 2025-06-05T19:09:23.9727510Z call_function aten_view_copy_default_673 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_251, [1, 8, 512]) {} 2025-06-05T19:09:23.9727940Z call_function aten_relu_default_66 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_673,) {} 2025-06-05T19:09:23.9728400Z call_function aten_view_copy_default_674 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_66, [8, 512]) {} 2025-06-05T19:09:23.9729010Z call_function aten_addmm_default_252 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_ffn_2_output_dense_bias, aten_view_copy_default_674, aten_permute_copy_default_253) {} 2025-06-05T19:09:23.9729480Z call_function aten_view_copy_default_675 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_252, [1, 8, 128]) {} 2025-06-05T19:09:23.9729980Z call_function aten_add_tensor_252 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_675, aten_add_tensor_251) {} 2025-06-05T19:09:23.9730520Z call_function aten_mul_tensor_135 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_252, p_encoder_layer_16_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9731060Z call_function aten_add_tensor_253 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_135, p_encoder_layer_16_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9731530Z call_function aten_view_copy_default_676 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_253, [8, 128]) {} 2025-06-05T19:09:23.9732190Z call_function aten_addmm_default_253 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_intermediate_dense_bias, aten_view_copy_default_676, aten_permute_copy_default_255) {} 2025-06-05T19:09:23.9732660Z call_function aten_view_copy_default_677 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_253, [1, 8, 512]) {} 2025-06-05T19:09:23.9733090Z call_function aten_relu_default_67 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_677,) {} 2025-06-05T19:09:23.9733550Z call_function aten_view_copy_default_678 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_67, [8, 512]) {} 2025-06-05T19:09:23.9734160Z call_function aten_addmm_default_254 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_output_dense_bias, aten_view_copy_default_678, aten_permute_copy_default_246) {} 2025-06-05T19:09:23.9734620Z call_function aten_view_copy_default_679 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_254, [1, 8, 128]) {} 2025-06-05T19:09:23.9735120Z call_function aten_add_tensor_254 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_679, aten_add_tensor_253) {} 2025-06-05T19:09:23.9735660Z call_function aten_mul_tensor_136 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_254, p_encoder_layer_16_output_layernorm_weight) {} 2025-06-05T19:09:23.9736190Z call_function aten_add_tensor_255 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_136, p_encoder_layer_16_output_layernorm_bias) {} 2025-06-05T19:09:23.9736660Z call_function aten_view_copy_default_680 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_255, [8, 128]) {} 2025-06-05T19:09:23.9737320Z call_function aten_addmm_default_255 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_16_output_bottleneck_dense_bias, aten_view_copy_default_680, aten_permute_copy_default_245) {} 2025-06-05T19:09:23.9737780Z call_function aten_view_copy_default_681 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_255, [1, 8, 512]) {} 2025-06-05T19:09:23.9738310Z call_function aten_clone_default_51 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_681,) {} 2025-06-05T19:09:23.9738810Z call_function aten_add_tensor_256 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_51, aten_add_tensor_242) {} 2025-06-05T19:09:23.9739320Z call_function aten_mul_tensor_137 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_256, p_encoder_layer_16_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9739870Z call_function aten_add_tensor_257 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_137, p_encoder_layer_16_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9740330Z call_function aten_view_copy_default_682 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_257, [8, 512]) {} 2025-06-05T19:09:23.9740810Z call_function aten_view_copy_default_683 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_257, [8, 512]) {} 2025-06-05T19:09:23.9741260Z call_function aten_view_copy_default_684 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_257, [8, 512]) {} 2025-06-05T19:09:23.9741910Z call_function aten_addmm_default_256 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_bottleneck_input_dense_bias, aten_view_copy_default_682, aten_permute_copy_default_262) {} 2025-06-05T19:09:23.9742580Z call_function aten_addmm_default_257 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_bottleneck_attention_dense_bias, aten_view_copy_default_683, aten_permute_copy_default_263) {} 2025-06-05T19:09:23.9743200Z call_function aten_addmm_default_258 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_attention_self_value_bias, aten_view_copy_default_684, aten_permute_copy_default_259) {} 2025-06-05T19:09:23.9743690Z call_function aten_view_copy_default_685 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_256, [1, 8, 128]) {} 2025-06-05T19:09:23.9744150Z call_function aten_view_copy_default_686 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_257, [1, 8, 128]) {} 2025-06-05T19:09:23.9744610Z call_function aten_view_copy_default_687 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_258, [1, 8, 128]) {} 2025-06-05T19:09:23.9745140Z call_function aten_mul_tensor_138 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_685, p_encoder_layer_17_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9745670Z call_function aten_mul_tensor_139 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_686, p_encoder_layer_17_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9746160Z call_function aten_view_copy_default_688 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_687, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9746710Z call_function aten_add_tensor_258 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_138, p_encoder_layer_17_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9747290Z call_function aten_add_tensor_259 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_139, p_encoder_layer_17_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9747830Z call_function aten_permute_copy_default_446 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_688, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9748290Z call_function aten_view_copy_default_689 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_259, [8, 128]) {} 2025-06-05T19:09:23.9748770Z call_function aten_view_copy_default_690 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_259, [8, 128]) {} 2025-06-05T19:09:23.9749320Z call_function aten_expand_copy_default_68 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_446, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9749940Z call_function aten_addmm_default_259 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_attention_self_query_bias, aten_view_copy_default_689, aten_permute_copy_default_257) {} 2025-06-05T19:09:23.9750560Z call_function aten_addmm_default_260 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_attention_self_key_bias, aten_view_copy_default_690, aten_permute_copy_default_258) {} 2025-06-05T19:09:23.9751040Z call_function aten_view_copy_default_691 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_68, [4, 8, 32]) {} 2025-06-05T19:09:23.9751530Z call_function aten_view_copy_default_692 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_259, [1, 8, 128]) {} 2025-06-05T19:09:23.9752000Z call_function aten_view_copy_default_693 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_260, [1, 8, 128]) {} 2025-06-05T19:09:23.9752490Z call_function aten_view_copy_default_694 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_692, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9753010Z call_function aten_view_copy_default_695 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_693, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9753500Z call_function aten_permute_copy_default_447 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_694, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9754010Z call_function aten_permute_copy_default_448 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_695, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9754550Z call_function aten_expand_copy_default_69 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_447, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9755050Z call_function aten_permute_copy_default_449 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_448, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9755530Z call_function aten_view_copy_default_696 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_69, [4, 8, 32]) {} 2025-06-05T19:09:23.9756070Z call_function aten_expand_copy_default_70 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_449, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9756570Z call_function aten_view_copy_default_697 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_70, [4, 32, 8]) {} 2025-06-05T19:09:23.9757060Z call_function aten_bmm_default_34 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_696, aten_view_copy_default_697) {} 2025-06-05T19:09:23.9757520Z call_function aten_view_copy_default_698 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_34, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9758060Z call_function aten_div_tensor_17 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_698, _lifted_tensor_constant20) {} 2025-06-05T19:09:23.9758550Z call_function aten_add_tensor_260 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_17, aten_mul_tensor) {} 2025-06-05T19:09:23.9759070Z call_function aten__softmax_default_17 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_260, -1, False) {} 2025-06-05T19:09:23.9759570Z call_function aten_clone_default_52 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_17,) {} 2025-06-05T19:09:23.9760100Z call_function aten_expand_copy_default_71 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_52, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9760570Z call_function aten_view_copy_default_699 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_71, [4, 8, 8]) {} 2025-06-05T19:09:23.9761050Z call_function aten_bmm_default_35 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_699, aten_view_copy_default_691) {} 2025-06-05T19:09:23.9761530Z call_function aten_view_copy_default_700 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_35, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9762050Z call_function aten_permute_copy_default_450 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_700, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9762590Z call_function aten_clone_default_53 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_450,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9763100Z call_function aten_view_copy_default_701 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_53, [1, 8, 128]) {} 2025-06-05T19:09:23.9763580Z call_function aten_view_copy_default_702 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_701, [8, 128]) {} 2025-06-05T19:09:23.9764220Z call_function aten_addmm_default_261 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_attention_output_dense_bias, aten_view_copy_default_702, aten_permute_copy_default_256) {} 2025-06-05T19:09:23.9764690Z call_function aten_view_copy_default_703 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_261, [1, 8, 128]) {} 2025-06-05T19:09:23.9765200Z call_function aten_add_tensor_261 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_703, aten_add_tensor_258) {} 2025-06-05T19:09:23.9765730Z call_function aten_mul_tensor_140 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_261, p_encoder_layer_17_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9766270Z call_function aten_add_tensor_262 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_140, p_encoder_layer_17_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9766750Z call_function aten_view_copy_default_704 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_262, [8, 128]) {} 2025-06-05T19:09:23.9767380Z call_function aten_addmm_default_262 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_0_intermediate_dense_bias, aten_view_copy_default_704, aten_permute_copy_default_265) {} 2025-06-05T19:09:23.9767850Z call_function aten_view_copy_default_705 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_262, [1, 8, 512]) {} 2025-06-05T19:09:23.9768310Z call_function aten_relu_default_68 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_705,) {} 2025-06-05T19:09:23.9768780Z call_function aten_view_copy_default_706 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_68, [8, 512]) {} 2025-06-05T19:09:23.9769420Z call_function aten_addmm_default_263 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_0_output_dense_bias, aten_view_copy_default_706, aten_permute_copy_default_264) {} 2025-06-05T19:09:23.9769890Z call_function aten_view_copy_default_707 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_263, [1, 8, 128]) {} 2025-06-05T19:09:23.9770400Z call_function aten_add_tensor_263 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_707, aten_add_tensor_262) {} 2025-06-05T19:09:23.9770910Z call_function aten_mul_tensor_141 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_263, p_encoder_layer_17_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9771450Z call_function aten_add_tensor_264 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_141, p_encoder_layer_17_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9771940Z call_function aten_view_copy_default_708 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_264, [8, 128]) {} 2025-06-05T19:09:23.9772570Z call_function aten_addmm_default_264 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_1_intermediate_dense_bias, aten_view_copy_default_708, aten_permute_copy_default_267) {} 2025-06-05T19:09:23.9773040Z call_function aten_view_copy_default_709 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_264, [1, 8, 512]) {} 2025-06-05T19:09:23.9773500Z call_function aten_relu_default_69 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_709,) {} 2025-06-05T19:09:23.9773960Z call_function aten_view_copy_default_710 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_69, [8, 512]) {} 2025-06-05T19:09:23.9774590Z call_function aten_addmm_default_265 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_1_output_dense_bias, aten_view_copy_default_710, aten_permute_copy_default_266) {} 2025-06-05T19:09:23.9775050Z call_function aten_view_copy_default_711 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_265, [1, 8, 128]) {} 2025-06-05T19:09:23.9775560Z call_function aten_add_tensor_265 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_711, aten_add_tensor_264) {} 2025-06-05T19:09:23.9776070Z call_function aten_mul_tensor_142 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_265, p_encoder_layer_17_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9776600Z call_function aten_add_tensor_266 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_142, p_encoder_layer_17_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9777080Z call_function aten_view_copy_default_712 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_266, [8, 128]) {} 2025-06-05T19:09:23.9777710Z call_function aten_addmm_default_266 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_2_intermediate_dense_bias, aten_view_copy_default_712, aten_permute_copy_default_269) {} 2025-06-05T19:09:23.9778170Z call_function aten_view_copy_default_713 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_266, [1, 8, 512]) {} 2025-06-05T19:09:23.9778620Z call_function aten_relu_default_70 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_713,) {} 2025-06-05T19:09:23.9779080Z call_function aten_view_copy_default_714 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_70, [8, 512]) {} 2025-06-05T19:09:23.9779720Z call_function aten_addmm_default_267 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_ffn_2_output_dense_bias, aten_view_copy_default_714, aten_permute_copy_default_268) {} 2025-06-05T19:09:23.9780180Z call_function aten_view_copy_default_715 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_267, [1, 8, 128]) {} 2025-06-05T19:09:23.9780690Z call_function aten_add_tensor_267 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_715, aten_add_tensor_266) {} 2025-06-05T19:09:23.9781200Z call_function aten_mul_tensor_143 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_267, p_encoder_layer_17_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9781770Z call_function aten_add_tensor_268 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_143, p_encoder_layer_17_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9782240Z call_function aten_view_copy_default_716 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_268, [8, 128]) {} 2025-06-05T19:09:23.9782910Z call_function aten_addmm_default_268 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_intermediate_dense_bias, aten_view_copy_default_716, aten_permute_copy_default_270) {} 2025-06-05T19:09:23.9783430Z call_function aten_view_copy_default_717 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_268, [1, 8, 512]) {} 2025-06-05T19:09:23.9783850Z call_function aten_relu_default_71 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_717,) {} 2025-06-05T19:09:23.9784310Z call_function aten_view_copy_default_718 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_71, [8, 512]) {} 2025-06-05T19:09:23.9784940Z call_function aten_addmm_default_269 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_output_dense_bias, aten_view_copy_default_718, aten_permute_copy_default_261) {} 2025-06-05T19:09:23.9785400Z call_function aten_view_copy_default_719 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_269, [1, 8, 128]) {} 2025-06-05T19:09:23.9785910Z call_function aten_add_tensor_269 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_719, aten_add_tensor_268) {} 2025-06-05T19:09:23.9786410Z call_function aten_mul_tensor_144 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_269, p_encoder_layer_17_output_layernorm_weight) {} 2025-06-05T19:09:23.9786960Z call_function aten_add_tensor_270 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_144, p_encoder_layer_17_output_layernorm_bias) {} 2025-06-05T19:09:23.9787420Z call_function aten_view_copy_default_720 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_270, [8, 128]) {} 2025-06-05T19:09:23.9788050Z call_function aten_addmm_default_270 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_17_output_bottleneck_dense_bias, aten_view_copy_default_720, aten_permute_copy_default_260) {} 2025-06-05T19:09:23.9788570Z call_function aten_view_copy_default_721 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_270, [1, 8, 512]) {} 2025-06-05T19:09:23.9789060Z call_function aten_clone_default_54 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_721,) {} 2025-06-05T19:09:23.9789570Z call_function aten_add_tensor_271 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_54, aten_add_tensor_257) {} 2025-06-05T19:09:23.9790110Z call_function aten_mul_tensor_145 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_271, p_encoder_layer_17_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9790660Z call_function aten_add_tensor_272 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_145, p_encoder_layer_17_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9791120Z call_function aten_view_copy_default_722 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_272, [8, 512]) {} 2025-06-05T19:09:23.9791580Z call_function aten_view_copy_default_723 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_272, [8, 512]) {} 2025-06-05T19:09:23.9792070Z call_function aten_view_copy_default_724 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_272, [8, 512]) {} 2025-06-05T19:09:23.9792690Z call_function aten_addmm_default_271 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_bottleneck_input_dense_bias, aten_view_copy_default_722, aten_permute_copy_default_277) {} 2025-06-05T19:09:23.9793330Z call_function aten_addmm_default_272 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_bottleneck_attention_dense_bias, aten_view_copy_default_723, aten_permute_copy_default_278) {} 2025-06-05T19:09:23.9793990Z call_function aten_addmm_default_273 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_attention_self_value_bias, aten_view_copy_default_724, aten_permute_copy_default_274) {} 2025-06-05T19:09:23.9794460Z call_function aten_view_copy_default_725 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_271, [1, 8, 128]) {} 2025-06-05T19:09:23.9794940Z call_function aten_view_copy_default_726 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_272, [1, 8, 128]) {} 2025-06-05T19:09:23.9795400Z call_function aten_view_copy_default_727 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_273, [1, 8, 128]) {} 2025-06-05T19:09:23.9795930Z call_function aten_mul_tensor_146 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_725, p_encoder_layer_18_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9796460Z call_function aten_mul_tensor_147 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_726, p_encoder_layer_18_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9796920Z call_function aten_view_copy_default_728 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_727, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9797500Z call_function aten_add_tensor_273 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_146, p_encoder_layer_18_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9798050Z call_function aten_add_tensor_274 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_147, p_encoder_layer_18_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9798550Z call_function aten_permute_copy_default_451 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_728, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9799060Z call_function aten_view_copy_default_729 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_274, [8, 128]) {} 2025-06-05T19:09:23.9799520Z call_function aten_view_copy_default_730 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_274, [8, 128]) {} 2025-06-05T19:09:23.9800100Z call_function aten_expand_copy_default_72 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_451, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9800710Z call_function aten_addmm_default_274 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_attention_self_query_bias, aten_view_copy_default_729, aten_permute_copy_default_272) {} 2025-06-05T19:09:23.9801320Z call_function aten_addmm_default_275 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_attention_self_key_bias, aten_view_copy_default_730, aten_permute_copy_default_273) {} 2025-06-05T19:09:23.9801800Z call_function aten_view_copy_default_731 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_72, [4, 8, 32]) {} 2025-06-05T19:09:23.9802260Z call_function aten_view_copy_default_732 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_274, [1, 8, 128]) {} 2025-06-05T19:09:23.9802740Z call_function aten_view_copy_default_733 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_275, [1, 8, 128]) {} 2025-06-05T19:09:23.9803220Z call_function aten_view_copy_default_734 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_732, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9803720Z call_function aten_view_copy_default_735 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_733, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9804270Z call_function aten_permute_copy_default_452 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_734, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9804760Z call_function aten_permute_copy_default_453 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_735, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9805330Z call_function aten_expand_copy_default_73 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_452, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9805820Z call_function aten_permute_copy_default_454 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_453, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9806300Z call_function aten_view_copy_default_736 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_73, [4, 8, 32]) {} 2025-06-05T19:09:23.9806850Z call_function aten_expand_copy_default_74 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_454, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9807320Z call_function aten_view_copy_default_737 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_74, [4, 32, 8]) {} 2025-06-05T19:09:23.9807810Z call_function aten_bmm_default_36 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_736, aten_view_copy_default_737) {} 2025-06-05T19:09:23.9808270Z call_function aten_view_copy_default_738 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_36, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9808780Z call_function aten_div_tensor_18 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_738, _lifted_tensor_constant21) {} 2025-06-05T19:09:23.9809310Z call_function aten_add_tensor_275 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_18, aten_mul_tensor) {} 2025-06-05T19:09:23.9809810Z call_function aten__softmax_default_18 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_275, -1, False) {} 2025-06-05T19:09:23.9810320Z call_function aten_clone_default_55 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_18,) {} 2025-06-05T19:09:23.9810850Z call_function aten_expand_copy_default_75 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_55, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9811320Z call_function aten_view_copy_default_739 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_75, [4, 8, 8]) {} 2025-06-05T19:09:23.9811800Z call_function aten_bmm_default_37 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_739, aten_view_copy_default_731) {} 2025-06-05T19:09:23.9812250Z call_function aten_view_copy_default_740 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_37, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9812780Z call_function aten_permute_copy_default_455 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_740, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9813320Z call_function aten_clone_default_56 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_455,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9813810Z call_function aten_view_copy_default_741 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_56, [1, 8, 128]) {} 2025-06-05T19:09:23.9814340Z call_function aten_view_copy_default_742 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_741, [8, 128]) {} 2025-06-05T19:09:23.9814960Z call_function aten_addmm_default_276 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_attention_output_dense_bias, aten_view_copy_default_742, aten_permute_copy_default_271) {} 2025-06-05T19:09:23.9815440Z call_function aten_view_copy_default_743 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_276, [1, 8, 128]) {} 2025-06-05T19:09:23.9815950Z call_function aten_add_tensor_276 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_743, aten_add_tensor_273) {} 2025-06-05T19:09:23.9816480Z call_function aten_mul_tensor_148 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_276, p_encoder_layer_18_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9817030Z call_function aten_add_tensor_277 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_148, p_encoder_layer_18_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9817490Z call_function aten_view_copy_default_744 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_277, [8, 128]) {} 2025-06-05T19:09:23.9818130Z call_function aten_addmm_default_277 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_0_intermediate_dense_bias, aten_view_copy_default_744, aten_permute_copy_default_280) {} 2025-06-05T19:09:23.9818600Z call_function aten_view_copy_default_745 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_277, [1, 8, 512]) {} 2025-06-05T19:09:23.9819030Z call_function aten_relu_default_72 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_745,) {} 2025-06-05T19:09:23.9819530Z call_function aten_view_copy_default_746 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_72, [8, 512]) {} 2025-06-05T19:09:23.9820140Z call_function aten_addmm_default_278 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_0_output_dense_bias, aten_view_copy_default_746, aten_permute_copy_default_279) {} 2025-06-05T19:09:23.9820630Z call_function aten_view_copy_default_747 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_278, [1, 8, 128]) {} 2025-06-05T19:09:23.9821140Z call_function aten_add_tensor_278 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_747, aten_add_tensor_277) {} 2025-06-05T19:09:23.9821650Z call_function aten_mul_tensor_149 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_278, p_encoder_layer_18_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9822180Z call_function aten_add_tensor_279 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_149, p_encoder_layer_18_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9822630Z call_function aten_view_copy_default_748 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_279, [8, 128]) {} 2025-06-05T19:09:23.9823270Z call_function aten_addmm_default_279 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_1_intermediate_dense_bias, aten_view_copy_default_748, aten_permute_copy_default_282) {} 2025-06-05T19:09:23.9823730Z call_function aten_view_copy_default_749 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_279, [1, 8, 512]) {} 2025-06-05T19:09:23.9824190Z call_function aten_relu_default_73 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_749,) {} 2025-06-05T19:09:23.9824720Z call_function aten_view_copy_default_750 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_73, [8, 512]) {} 2025-06-05T19:09:23.9825320Z call_function aten_addmm_default_280 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_1_output_dense_bias, aten_view_copy_default_750, aten_permute_copy_default_281) {} 2025-06-05T19:09:23.9825810Z call_function aten_view_copy_default_751 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_280, [1, 8, 128]) {} 2025-06-05T19:09:23.9826320Z call_function aten_add_tensor_280 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_751, aten_add_tensor_279) {} 2025-06-05T19:09:23.9826820Z call_function aten_mul_tensor_150 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_280, p_encoder_layer_18_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9827350Z call_function aten_add_tensor_281 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_150, p_encoder_layer_18_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9827810Z call_function aten_view_copy_default_752 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_281, [8, 128]) {} 2025-06-05T19:09:23.9828440Z call_function aten_addmm_default_281 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_2_intermediate_dense_bias, aten_view_copy_default_752, aten_permute_copy_default_284) {} 2025-06-05T19:09:23.9828920Z call_function aten_view_copy_default_753 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_281, [1, 8, 512]) {} 2025-06-05T19:09:23.9829330Z call_function aten_relu_default_74 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_753,) {} 2025-06-05T19:09:23.9829830Z call_function aten_view_copy_default_754 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_74, [8, 512]) {} 2025-06-05T19:09:23.9830440Z call_function aten_addmm_default_282 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_ffn_2_output_dense_bias, aten_view_copy_default_754, aten_permute_copy_default_283) {} 2025-06-05T19:09:23.9830920Z call_function aten_view_copy_default_755 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_282, [1, 8, 128]) {} 2025-06-05T19:09:23.9831430Z call_function aten_add_tensor_282 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_755, aten_add_tensor_281) {} 2025-06-05T19:09:23.9831940Z call_function aten_mul_tensor_151 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_282, p_encoder_layer_18_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9832470Z call_function aten_add_tensor_283 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_151, p_encoder_layer_18_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9832920Z call_function aten_view_copy_default_756 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_283, [8, 128]) {} 2025-06-05T19:09:23.9833580Z call_function aten_addmm_default_283 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_intermediate_dense_bias, aten_view_copy_default_756, aten_permute_copy_default_285) {} 2025-06-05T19:09:23.9834060Z call_function aten_view_copy_default_757 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_283, [1, 8, 512]) {} 2025-06-05T19:09:23.9834470Z call_function aten_relu_default_75 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_757,) {} 2025-06-05T19:09:23.9834980Z call_function aten_view_copy_default_758 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_75, [8, 512]) {} 2025-06-05T19:09:23.9835590Z call_function aten_addmm_default_284 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_output_dense_bias, aten_view_copy_default_758, aten_permute_copy_default_276) {} 2025-06-05T19:09:23.9836080Z call_function aten_view_copy_default_759 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_284, [1, 8, 128]) {} 2025-06-05T19:09:23.9836590Z call_function aten_add_tensor_284 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_759, aten_add_tensor_283) {} 2025-06-05T19:09:23.9837100Z call_function aten_mul_tensor_152 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_284, p_encoder_layer_18_output_layernorm_weight) {} 2025-06-05T19:09:23.9837630Z call_function aten_add_tensor_285 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_152, p_encoder_layer_18_output_layernorm_bias) {} 2025-06-05T19:09:23.9838090Z call_function aten_view_copy_default_760 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_285, [8, 128]) {} 2025-06-05T19:09:23.9838720Z call_function aten_addmm_default_285 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_18_output_bottleneck_dense_bias, aten_view_copy_default_760, aten_permute_copy_default_275) {} 2025-06-05T19:09:23.9839200Z call_function aten_view_copy_default_761 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_285, [1, 8, 512]) {} 2025-06-05T19:09:23.9839690Z call_function aten_clone_default_57 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_761,) {} 2025-06-05T19:09:23.9840230Z call_function aten_add_tensor_286 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_57, aten_add_tensor_272) {} 2025-06-05T19:09:23.9840750Z call_function aten_mul_tensor_153 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_286, p_encoder_layer_18_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9841330Z call_function aten_add_tensor_287 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_153, p_encoder_layer_18_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9841790Z call_function aten_view_copy_default_762 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_287, [8, 512]) {} 2025-06-05T19:09:23.9842250Z call_function aten_view_copy_default_763 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_287, [8, 512]) {} 2025-06-05T19:09:23.9842700Z call_function aten_view_copy_default_764 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_287, [8, 512]) {} 2025-06-05T19:09:23.9843310Z call_function aten_addmm_default_286 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_bottleneck_input_dense_bias, aten_view_copy_default_762, aten_permute_copy_default_292) {} 2025-06-05T19:09:23.9843950Z call_function aten_addmm_default_287 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_bottleneck_attention_dense_bias, aten_view_copy_default_763, aten_permute_copy_default_293) {} 2025-06-05T19:09:23.9844590Z call_function aten_addmm_default_288 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_attention_self_value_bias, aten_view_copy_default_764, aten_permute_copy_default_289) {} 2025-06-05T19:09:23.9845060Z call_function aten_view_copy_default_765 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_286, [1, 8, 128]) {} 2025-06-05T19:09:23.9845570Z call_function aten_view_copy_default_766 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_287, [1, 8, 128]) {} 2025-06-05T19:09:23.9846040Z call_function aten_view_copy_default_767 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_288, [1, 8, 128]) {} 2025-06-05T19:09:23.9846580Z call_function aten_mul_tensor_154 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_765, p_encoder_layer_19_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9847110Z call_function aten_mul_tensor_155 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_766, p_encoder_layer_19_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9847570Z call_function aten_view_copy_default_768 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_767, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9848120Z call_function aten_add_tensor_288 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_154, p_encoder_layer_19_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9848670Z call_function aten_add_tensor_289 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_155, p_encoder_layer_19_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9849180Z call_function aten_permute_copy_default_456 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_768, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9849650Z call_function aten_view_copy_default_769 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_289, [8, 128]) {} 2025-06-05T19:09:23.9850100Z call_function aten_view_copy_default_770 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_289, [8, 128]) {} 2025-06-05T19:09:23.9850690Z call_function aten_expand_copy_default_76 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_456, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9851300Z call_function aten_addmm_default_289 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_attention_self_query_bias, aten_view_copy_default_769, aten_permute_copy_default_287) {} 2025-06-05T19:09:23.9851920Z call_function aten_addmm_default_290 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_attention_self_key_bias, aten_view_copy_default_770, aten_permute_copy_default_288) {} 2025-06-05T19:09:23.9852390Z call_function aten_view_copy_default_771 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_76, [4, 8, 32]) {} 2025-06-05T19:09:23.9852850Z call_function aten_view_copy_default_772 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_289, [1, 8, 128]) {} 2025-06-05T19:09:23.9853300Z call_function aten_view_copy_default_773 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_290, [1, 8, 128]) {} 2025-06-05T19:09:23.9853770Z call_function aten_view_copy_default_774 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_772, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9854270Z call_function aten_view_copy_default_775 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_773, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9854780Z call_function aten_permute_copy_default_457 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_774, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9855260Z call_function aten_permute_copy_default_458 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_775, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9855850Z call_function aten_expand_copy_default_77 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_457, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9856340Z call_function aten_permute_copy_default_459 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_458, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9856830Z call_function aten_view_copy_default_776 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_77, [4, 8, 32]) {} 2025-06-05T19:09:23.9857360Z call_function aten_expand_copy_default_78 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_459, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9857830Z call_function aten_view_copy_default_777 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_78, [4, 32, 8]) {} 2025-06-05T19:09:23.9858300Z call_function aten_bmm_default_38 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_776, aten_view_copy_default_777) {} 2025-06-05T19:09:23.9858750Z call_function aten_view_copy_default_778 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_38, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9859260Z call_function aten_div_tensor_19 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_778, _lifted_tensor_constant22) {} 2025-06-05T19:09:23.9859760Z call_function aten_add_tensor_290 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_19, aten_mul_tensor) {} 2025-06-05T19:09:23.9860240Z call_function aten__softmax_default_19 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_290, -1, False) {} 2025-06-05T19:09:23.9860790Z call_function aten_clone_default_58 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_19,) {} 2025-06-05T19:09:23.9861310Z call_function aten_expand_copy_default_79 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_58, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9861830Z call_function aten_view_copy_default_779 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_79, [4, 8, 8]) {} 2025-06-05T19:09:23.9862300Z call_function aten_bmm_default_39 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_779, aten_view_copy_default_771) {} 2025-06-05T19:09:23.9862750Z call_function aten_view_copy_default_780 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_39, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9863240Z call_function aten_permute_copy_default_460 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_780, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9863790Z call_function aten_clone_default_59 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_460,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9864250Z call_function aten_view_copy_default_781 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_59, [1, 8, 128]) {} 2025-06-05T19:09:23.9864750Z call_function aten_view_copy_default_782 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_781, [8, 128]) {} 2025-06-05T19:09:23.9865430Z call_function aten_addmm_default_291 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_attention_output_dense_bias, aten_view_copy_default_782, aten_permute_copy_default_286) {} 2025-06-05T19:09:23.9865900Z call_function aten_view_copy_default_783 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_291, [1, 8, 128]) {} 2025-06-05T19:09:23.9866430Z call_function aten_add_tensor_291 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_783, aten_add_tensor_288) {} 2025-06-05T19:09:23.9866950Z call_function aten_mul_tensor_156 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_291, p_encoder_layer_19_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9867490Z call_function aten_add_tensor_292 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_156, p_encoder_layer_19_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9867950Z call_function aten_view_copy_default_784 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_292, [8, 128]) {} 2025-06-05T19:09:23.9868560Z call_function aten_addmm_default_292 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_0_intermediate_dense_bias, aten_view_copy_default_784, aten_permute_copy_default_295) {} 2025-06-05T19:09:23.9869050Z call_function aten_view_copy_default_785 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_292, [1, 8, 512]) {} 2025-06-05T19:09:23.9869460Z call_function aten_relu_default_76 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_785,) {} 2025-06-05T19:09:23.9869940Z call_function aten_view_copy_default_786 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_76, [8, 512]) {} 2025-06-05T19:09:23.9870610Z call_function aten_addmm_default_293 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_0_output_dense_bias, aten_view_copy_default_786, aten_permute_copy_default_294) {} 2025-06-05T19:09:23.9871080Z call_function aten_view_copy_default_787 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_293, [1, 8, 128]) {} 2025-06-05T19:09:23.9871610Z call_function aten_add_tensor_293 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_787, aten_add_tensor_292) {} 2025-06-05T19:09:23.9872120Z call_function aten_mul_tensor_157 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_293, p_encoder_layer_19_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9872650Z call_function aten_add_tensor_294 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_157, p_encoder_layer_19_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9873110Z call_function aten_view_copy_default_788 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_294, [8, 128]) {} 2025-06-05T19:09:23.9873720Z call_function aten_addmm_default_294 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_1_intermediate_dense_bias, aten_view_copy_default_788, aten_permute_copy_default_297) {} 2025-06-05T19:09:23.9874220Z call_function aten_view_copy_default_789 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_294, [1, 8, 512]) {} 2025-06-05T19:09:23.9874640Z call_function aten_relu_default_77 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_789,) {} 2025-06-05T19:09:23.9875120Z call_function aten_view_copy_default_790 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_77, [8, 512]) {} 2025-06-05T19:09:23.9875780Z call_function aten_addmm_default_295 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_1_output_dense_bias, aten_view_copy_default_790, aten_permute_copy_default_296) {} 2025-06-05T19:09:23.9876250Z call_function aten_view_copy_default_791 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_295, [1, 8, 128]) {} 2025-06-05T19:09:23.9876780Z call_function aten_add_tensor_295 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_791, aten_add_tensor_294) {} 2025-06-05T19:09:23.9877290Z call_function aten_mul_tensor_158 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_295, p_encoder_layer_19_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9877830Z call_function aten_add_tensor_296 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_158, p_encoder_layer_19_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9878290Z call_function aten_view_copy_default_792 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_296, [8, 128]) {} 2025-06-05T19:09:23.9878900Z call_function aten_addmm_default_296 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_2_intermediate_dense_bias, aten_view_copy_default_792, aten_permute_copy_default_299) {} 2025-06-05T19:09:23.9879390Z call_function aten_view_copy_default_793 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_296, [1, 8, 512]) {} 2025-06-05T19:09:23.9879800Z call_function aten_relu_default_78 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_793,) {} 2025-06-05T19:09:23.9880280Z call_function aten_view_copy_default_794 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_78, [8, 512]) {} 2025-06-05T19:09:23.9880930Z call_function aten_addmm_default_297 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_ffn_2_output_dense_bias, aten_view_copy_default_794, aten_permute_copy_default_298) {} 2025-06-05T19:09:23.9881390Z call_function aten_view_copy_default_795 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_297, [1, 8, 128]) {} 2025-06-05T19:09:23.9881930Z call_function aten_add_tensor_297 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_795, aten_add_tensor_296) {} 2025-06-05T19:09:23.9882450Z call_function aten_mul_tensor_159 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_297, p_encoder_layer_19_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9882980Z call_function aten_add_tensor_298 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_159, p_encoder_layer_19_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9883440Z call_function aten_view_copy_default_796 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_298, [8, 128]) {} 2025-06-05T19:09:23.9884050Z call_function aten_addmm_default_298 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_intermediate_dense_bias, aten_view_copy_default_796, aten_permute_copy_default_300) {} 2025-06-05T19:09:23.9884540Z call_function aten_view_copy_default_797 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_298, [1, 8, 512]) {} 2025-06-05T19:09:23.9884960Z call_function aten_relu_default_79 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_797,) {} 2025-06-05T19:09:23.9885440Z call_function aten_view_copy_default_798 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_79, [8, 512]) {} 2025-06-05T19:09:23.9886110Z call_function aten_addmm_default_299 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_output_dense_bias, aten_view_copy_default_798, aten_permute_copy_default_291) {} 2025-06-05T19:09:23.9886570Z call_function aten_view_copy_default_799 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_299, [1, 8, 128]) {} 2025-06-05T19:09:23.9887100Z call_function aten_add_tensor_299 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_799, aten_add_tensor_298) {} 2025-06-05T19:09:23.9887610Z call_function aten_mul_tensor_160 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_299, p_encoder_layer_19_output_layernorm_weight) {} 2025-06-05T19:09:23.9888140Z call_function aten_add_tensor_300 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_160, p_encoder_layer_19_output_layernorm_bias) {} 2025-06-05T19:09:23.9888590Z call_function aten_view_copy_default_800 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_300, [8, 128]) {} 2025-06-05T19:09:23.9889210Z call_function aten_addmm_default_300 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_19_output_bottleneck_dense_bias, aten_view_copy_default_800, aten_permute_copy_default_290) {} 2025-06-05T19:09:23.9889690Z call_function aten_view_copy_default_801 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_300, [1, 8, 512]) {} 2025-06-05T19:09:23.9890180Z call_function aten_clone_default_60 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_801,) {} 2025-06-05T19:09:23.9890700Z call_function aten_add_tensor_301 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_60, aten_add_tensor_287) {} 2025-06-05T19:09:23.9891270Z call_function aten_mul_tensor_161 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_301, p_encoder_layer_19_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9891820Z call_function aten_add_tensor_302 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_161, p_encoder_layer_19_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9892300Z call_function aten_view_copy_default_802 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_302, [8, 512]) {} 2025-06-05T19:09:23.9892750Z call_function aten_view_copy_default_803 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_302, [8, 512]) {} 2025-06-05T19:09:23.9893200Z call_function aten_view_copy_default_804 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_302, [8, 512]) {} 2025-06-05T19:09:23.9893820Z call_function aten_addmm_default_301 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_bottleneck_input_dense_bias, aten_view_copy_default_802, aten_permute_copy_default_307) {} 2025-06-05T19:09:23.9894430Z call_function aten_addmm_default_302 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_bottleneck_attention_dense_bias, aten_view_copy_default_803, aten_permute_copy_default_308) {} 2025-06-05T19:09:23.9895070Z call_function aten_addmm_default_303 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_attention_self_value_bias, aten_view_copy_default_804, aten_permute_copy_default_304) {} 2025-06-05T19:09:23.9895540Z call_function aten_view_copy_default_805 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_301, [1, 8, 128]) {} 2025-06-05T19:09:23.9896020Z call_function aten_view_copy_default_806 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_302, [1, 8, 128]) {} 2025-06-05T19:09:23.9896530Z call_function aten_view_copy_default_807 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_303, [1, 8, 128]) {} 2025-06-05T19:09:23.9897060Z call_function aten_mul_tensor_162 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_805, p_encoder_layer_20_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9897600Z call_function aten_mul_tensor_163 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_806, p_encoder_layer_20_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9898070Z call_function aten_view_copy_default_808 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_807, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9898620Z call_function aten_add_tensor_303 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_162, p_encoder_layer_20_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9899170Z call_function aten_add_tensor_304 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_163, p_encoder_layer_20_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9899650Z call_function aten_permute_copy_default_461 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_808, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9904000Z call_function aten_view_copy_default_809 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_304, [8, 128]) {} 2025-06-05T19:09:23.9904470Z call_function aten_view_copy_default_810 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_304, [8, 128]) {} 2025-06-05T19:09:23.9905040Z call_function aten_expand_copy_default_80 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_461, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9905700Z call_function aten_addmm_default_304 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_attention_self_query_bias, aten_view_copy_default_809, aten_permute_copy_default_302) {} 2025-06-05T19:09:23.9906320Z call_function aten_addmm_default_305 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_attention_self_key_bias, aten_view_copy_default_810, aten_permute_copy_default_303) {} 2025-06-05T19:09:23.9906830Z call_function aten_view_copy_default_811 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_80, [4, 8, 32]) {} 2025-06-05T19:09:23.9907300Z call_function aten_view_copy_default_812 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_304, [1, 8, 128]) {} 2025-06-05T19:09:23.9907760Z call_function aten_view_copy_default_813 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_305, [1, 8, 128]) {} 2025-06-05T19:09:23.9908230Z call_function aten_view_copy_default_814 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_812, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9908700Z call_function aten_view_copy_default_815 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_813, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9909210Z call_function aten_permute_copy_default_462 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_814, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9909730Z call_function aten_permute_copy_default_463 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_815, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9910280Z call_function aten_expand_copy_default_81 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_462, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9910840Z call_function aten_permute_copy_default_464 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_463, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9911310Z call_function aten_view_copy_default_816 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_81, [4, 8, 32]) {} 2025-06-05T19:09:23.9911900Z call_function aten_expand_copy_default_82 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_464, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9912370Z call_function aten_view_copy_default_817 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_82, [4, 32, 8]) {} 2025-06-05T19:09:23.9912840Z call_function aten_bmm_default_40 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_816, aten_view_copy_default_817) {} 2025-06-05T19:09:23.9913290Z call_function aten_view_copy_default_818 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_40, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9913790Z call_function aten_div_tensor_20 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_818, _lifted_tensor_constant23) {} 2025-06-05T19:09:23.9914290Z call_function aten_add_tensor_305 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_20, aten_mul_tensor) {} 2025-06-05T19:09:23.9914800Z call_function aten__softmax_default_20 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_305, -1, False) {} 2025-06-05T19:09:23.9915300Z call_function aten_clone_default_61 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_20,) {} 2025-06-05T19:09:23.9915870Z call_function aten_expand_copy_default_83 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_61, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9916340Z call_function aten_view_copy_default_819 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_83, [4, 8, 8]) {} 2025-06-05T19:09:23.9916840Z call_function aten_bmm_default_41 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_819, aten_view_copy_default_811) {} 2025-06-05T19:09:23.9917290Z call_function aten_view_copy_default_820 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_41, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9917790Z call_function aten_permute_copy_default_465 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_820, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9918340Z call_function aten_clone_default_62 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_465,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9918800Z call_function aten_view_copy_default_821 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_62, [1, 8, 128]) {} 2025-06-05T19:09:23.9919310Z call_function aten_view_copy_default_822 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_821, [8, 128]) {} 2025-06-05T19:09:23.9919950Z call_function aten_addmm_default_306 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_attention_output_dense_bias, aten_view_copy_default_822, aten_permute_copy_default_301) {} 2025-06-05T19:09:23.9920440Z call_function aten_view_copy_default_823 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_306, [1, 8, 128]) {} 2025-06-05T19:09:23.9921000Z call_function aten_add_tensor_306 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_823, aten_add_tensor_303) {} 2025-06-05T19:09:23.9921530Z call_function aten_mul_tensor_164 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_306, p_encoder_layer_20_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9922100Z call_function aten_add_tensor_307 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_164, p_encoder_layer_20_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9922560Z call_function aten_view_copy_default_824 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_307, [8, 128]) {} 2025-06-05T19:09:23.9923180Z call_function aten_addmm_default_307 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_0_intermediate_dense_bias, aten_view_copy_default_824, aten_permute_copy_default_310) {} 2025-06-05T19:09:23.9923640Z call_function aten_view_copy_default_825 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_307, [1, 8, 512]) {} 2025-06-05T19:09:23.9924060Z call_function aten_relu_default_80 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_825,) {} 2025-06-05T19:09:23.9924560Z call_function aten_view_copy_default_826 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_80, [8, 512]) {} 2025-06-05T19:09:23.9925190Z call_function aten_addmm_default_308 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_0_output_dense_bias, aten_view_copy_default_826, aten_permute_copy_default_309) {} 2025-06-05T19:09:23.9925650Z call_function aten_view_copy_default_827 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_308, [1, 8, 128]) {} 2025-06-05T19:09:23.9926210Z call_function aten_add_tensor_308 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_827, aten_add_tensor_307) {} 2025-06-05T19:09:23.9926730Z call_function aten_mul_tensor_165 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_308, p_encoder_layer_20_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9927320Z call_function aten_add_tensor_309 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_165, p_encoder_layer_20_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9927780Z call_function aten_view_copy_default_828 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_309, [8, 128]) {} 2025-06-05T19:09:23.9928410Z call_function aten_addmm_default_309 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_1_intermediate_dense_bias, aten_view_copy_default_828, aten_permute_copy_default_312) {} 2025-06-05T19:09:23.9928870Z call_function aten_view_copy_default_829 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_309, [1, 8, 512]) {} 2025-06-05T19:09:23.9929290Z call_function aten_relu_default_81 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_829,) {} 2025-06-05T19:09:23.9929770Z call_function aten_view_copy_default_830 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_81, [8, 512]) {} 2025-06-05T19:09:23.9930420Z call_function aten_addmm_default_310 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_1_output_dense_bias, aten_view_copy_default_830, aten_permute_copy_default_311) {} 2025-06-05T19:09:23.9930890Z call_function aten_view_copy_default_831 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_310, [1, 8, 128]) {} 2025-06-05T19:09:23.9931460Z call_function aten_add_tensor_310 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_831, aten_add_tensor_309) {} 2025-06-05T19:09:23.9931990Z call_function aten_mul_tensor_166 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_310, p_encoder_layer_20_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9932560Z call_function aten_add_tensor_311 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_166, p_encoder_layer_20_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9933030Z call_function aten_view_copy_default_832 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_311, [8, 128]) {} 2025-06-05T19:09:23.9933630Z call_function aten_addmm_default_311 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_2_intermediate_dense_bias, aten_view_copy_default_832, aten_permute_copy_default_314) {} 2025-06-05T19:09:23.9934100Z call_function aten_view_copy_default_833 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_311, [1, 8, 512]) {} 2025-06-05T19:09:23.9934530Z call_function aten_relu_default_82 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_833,) {} 2025-06-05T19:09:23.9935010Z call_function aten_view_copy_default_834 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_82, [8, 512]) {} 2025-06-05T19:09:23.9935670Z call_function aten_addmm_default_312 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_ffn_2_output_dense_bias, aten_view_copy_default_834, aten_permute_copy_default_313) {} 2025-06-05T19:09:23.9936260Z call_function aten_view_copy_default_835 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_312, [1, 8, 128]) {} 2025-06-05T19:09:23.9936790Z call_function aten_add_tensor_312 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_835, aten_add_tensor_311) {} 2025-06-05T19:09:23.9937340Z call_function aten_mul_tensor_167 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_312, p_encoder_layer_20_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:23.9937940Z call_function aten_add_tensor_313 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_167, p_encoder_layer_20_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:23.9938420Z call_function aten_view_copy_default_836 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_313, [8, 128]) {} 2025-06-05T19:09:23.9939080Z call_function aten_addmm_default_313 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_intermediate_dense_bias, aten_view_copy_default_836, aten_permute_copy_default_315) {} 2025-06-05T19:09:23.9939570Z call_function aten_view_copy_default_837 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_313, [1, 8, 512]) {} 2025-06-05T19:09:23.9946780Z call_function aten_relu_default_83 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_837,) {} 2025-06-05T19:09:23.9948410Z call_function aten_view_copy_default_838 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_83, [8, 512]) {} 2025-06-05T19:09:23.9950370Z call_function aten_addmm_default_314 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_output_dense_bias, aten_view_copy_default_838, aten_permute_copy_default_306) {} 2025-06-05T19:09:23.9951620Z call_function aten_view_copy_default_839 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_314, [1, 8, 128]) {} 2025-06-05T19:09:23.9952220Z call_function aten_add_tensor_314 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_839, aten_add_tensor_313) {} 2025-06-05T19:09:23.9952780Z call_function aten_mul_tensor_168 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_314, p_encoder_layer_20_output_layernorm_weight) {} 2025-06-05T19:09:23.9953410Z call_function aten_add_tensor_315 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_168, p_encoder_layer_20_output_layernorm_bias) {} 2025-06-05T19:09:23.9953910Z call_function aten_view_copy_default_840 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_315, [8, 128]) {} 2025-06-05T19:09:23.9954550Z call_function aten_addmm_default_315 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_20_output_bottleneck_dense_bias, aten_view_copy_default_840, aten_permute_copy_default_305) {} 2025-06-05T19:09:23.9955040Z call_function aten_view_copy_default_841 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_315, [1, 8, 512]) {} 2025-06-05T19:09:23.9955610Z call_function aten_clone_default_63 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_841,) {} 2025-06-05T19:09:23.9956140Z call_function aten_add_tensor_316 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_63, aten_add_tensor_302) {} 2025-06-05T19:09:23.9956730Z call_function aten_mul_tensor_169 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_316, p_encoder_layer_20_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:23.9957360Z call_function aten_add_tensor_317 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_169, p_encoder_layer_20_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:23.9957850Z call_function aten_view_copy_default_842 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_317, [8, 512]) {} 2025-06-05T19:09:23.9958330Z call_function aten_view_copy_default_843 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_317, [8, 512]) {} 2025-06-05T19:09:23.9958860Z call_function aten_view_copy_default_844 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_317, [8, 512]) {} 2025-06-05T19:09:23.9959520Z call_function aten_addmm_default_316 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_bottleneck_input_dense_bias, aten_view_copy_default_842, aten_permute_copy_default_322) {} 2025-06-05T19:09:23.9960170Z call_function aten_addmm_default_317 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_bottleneck_attention_dense_bias, aten_view_copy_default_843, aten_permute_copy_default_323) {} 2025-06-05T19:09:23.9960810Z call_function aten_addmm_default_318 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_attention_self_value_bias, aten_view_copy_default_844, aten_permute_copy_default_319) {} 2025-06-05T19:09:23.9961340Z call_function aten_view_copy_default_845 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_316, [1, 8, 128]) {} 2025-06-05T19:09:23.9961830Z call_function aten_view_copy_default_846 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_317, [1, 8, 128]) {} 2025-06-05T19:09:23.9962350Z call_function aten_view_copy_default_847 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_318, [1, 8, 128]) {} 2025-06-05T19:09:23.9962960Z call_function aten_mul_tensor_170 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_845, p_encoder_layer_21_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:23.9963510Z call_function aten_mul_tensor_171 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_846, p_encoder_layer_21_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:23.9964020Z call_function aten_view_copy_default_848 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_847, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9964600Z call_function aten_add_tensor_318 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_170, p_encoder_layer_21_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:23.9965160Z call_function aten_add_tensor_319 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_171, p_encoder_layer_21_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:23.9965680Z call_function aten_permute_copy_default_466 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_848, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9966150Z call_function aten_view_copy_default_849 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_319, [8, 128]) {} 2025-06-05T19:09:23.9966640Z call_function aten_view_copy_default_850 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_319, [8, 128]) {} 2025-06-05T19:09:23.9967210Z call_function aten_expand_copy_default_84 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_466, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9967870Z call_function aten_addmm_default_319 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_attention_self_query_bias, aten_view_copy_default_849, aten_permute_copy_default_317) {} 2025-06-05T19:09:23.9968560Z call_function aten_addmm_default_320 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_attention_self_key_bias, aten_view_copy_default_850, aten_permute_copy_default_318) {} 2025-06-05T19:09:23.9969060Z call_function aten_view_copy_default_851 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_84, [4, 8, 32]) {} 2025-06-05T19:09:23.9969580Z call_function aten_view_copy_default_852 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_319, [1, 8, 128]) {} 2025-06-05T19:09:23.9970060Z call_function aten_view_copy_default_853 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_320, [1, 8, 128]) {} 2025-06-05T19:09:23.9970550Z call_function aten_view_copy_default_854 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_852, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9971040Z call_function aten_view_copy_default_855 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_853, [1, 8, 4, 32]) {} 2025-06-05T19:09:23.9971560Z call_function aten_permute_copy_default_467 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_854, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9972110Z call_function aten_permute_copy_default_468 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_855, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9972680Z call_function aten_expand_copy_default_85 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_467, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9973220Z call_function aten_permute_copy_default_469 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_468, [0, 1, 3, 2]) {} 2025-06-05T19:09:23.9973770Z call_function aten_view_copy_default_856 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_85, [4, 8, 32]) {} 2025-06-05T19:09:23.9974360Z call_function aten_expand_copy_default_86 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_469, [1, 4, 32, 8]) {} 2025-06-05T19:09:23.9974890Z call_function aten_view_copy_default_857 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_86, [4, 32, 8]) {} 2025-06-05T19:09:23.9975390Z call_function aten_bmm_default_42 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_856, aten_view_copy_default_857) {} 2025-06-05T19:09:23.9975860Z call_function aten_view_copy_default_858 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_42, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9976380Z call_function aten_div_tensor_21 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_858, _lifted_tensor_constant24) {} 2025-06-05T19:09:23.9976890Z call_function aten_add_tensor_320 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_21, aten_mul_tensor) {} 2025-06-05T19:09:23.9977430Z call_function aten__softmax_default_21 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_320, -1, False) {} 2025-06-05T19:09:23.9977950Z call_function aten_clone_default_64 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_21,) {} 2025-06-05T19:09:23.9978530Z call_function aten_expand_copy_default_87 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_64, [1, 4, 8, 8]) {} 2025-06-05T19:09:23.9979070Z call_function aten_view_copy_default_859 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_87, [4, 8, 8]) {} 2025-06-05T19:09:23.9979570Z call_function aten_bmm_default_43 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_859, aten_view_copy_default_851) {} 2025-06-05T19:09:23.9980080Z call_function aten_view_copy_default_860 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_43, [1, 4, 8, 32]) {} 2025-06-05T19:09:23.9980590Z call_function aten_permute_copy_default_470 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_860, [0, 2, 1, 3]) {} 2025-06-05T19:09:23.9981140Z call_function aten_clone_default_65 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_470,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:23.9981620Z call_function aten_view_copy_default_861 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_65, [1, 8, 128]) {} 2025-06-05T19:09:23.9982110Z call_function aten_view_copy_default_862 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_861, [8, 128]) {} 2025-06-05T19:09:23.9982790Z call_function aten_addmm_default_321 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_attention_output_dense_bias, aten_view_copy_default_862, aten_permute_copy_default_316) {} 2025-06-05T19:09:23.9983280Z call_function aten_view_copy_default_863 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_321, [1, 8, 128]) {} 2025-06-05T19:09:23.9983850Z call_function aten_add_tensor_321 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_863, aten_add_tensor_318) {} 2025-06-05T19:09:23.9984470Z call_function aten_mul_tensor_172 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_321, p_encoder_layer_21_attention_output_layernorm_weight) {} 2025-06-05T19:09:23.9985050Z call_function aten_add_tensor_322 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_172, p_encoder_layer_21_attention_output_layernorm_bias) {} 2025-06-05T19:09:23.9985560Z call_function aten_view_copy_default_864 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_322, [8, 128]) {} 2025-06-05T19:09:23.9986210Z call_function aten_addmm_default_322 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_0_intermediate_dense_bias, aten_view_copy_default_864, aten_permute_copy_default_325) {} 2025-06-05T19:09:23.9986710Z call_function aten_view_copy_default_865 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_322, [1, 8, 512]) {} 2025-06-05T19:09:23.9987150Z call_function aten_relu_default_84 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_865,) {} 2025-06-05T19:09:23.9987630Z call_function aten_view_copy_default_866 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_84, [8, 512]) {} 2025-06-05T19:09:23.9988290Z call_function aten_addmm_default_323 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_0_output_dense_bias, aten_view_copy_default_866, aten_permute_copy_default_324) {} 2025-06-05T19:09:23.9988770Z call_function aten_view_copy_default_867 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_323, [1, 8, 128]) {} 2025-06-05T19:09:23.9989320Z call_function aten_add_tensor_323 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_867, aten_add_tensor_322) {} 2025-06-05T19:09:23.9989900Z call_function aten_mul_tensor_173 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_323, p_encoder_layer_21_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:23.9990460Z call_function aten_add_tensor_324 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_173, p_encoder_layer_21_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:23.9990960Z call_function aten_view_copy_default_868 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_324, [8, 128]) {} 2025-06-05T19:09:23.9991600Z call_function aten_addmm_default_324 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_1_intermediate_dense_bias, aten_view_copy_default_868, aten_permute_copy_default_327) {} 2025-06-05T19:09:23.9992080Z call_function aten_view_copy_default_869 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_324, [1, 8, 512]) {} 2025-06-05T19:09:23.9992510Z call_function aten_relu_default_85 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_869,) {} 2025-06-05T19:09:23.9992980Z call_function aten_view_copy_default_870 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_85, [8, 512]) {} 2025-06-05T19:09:23.9993650Z call_function aten_addmm_default_325 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_1_output_dense_bias, aten_view_copy_default_870, aten_permute_copy_default_326) {} 2025-06-05T19:09:23.9994150Z call_function aten_view_copy_default_871 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_325, [1, 8, 128]) {} 2025-06-05T19:09:23.9994680Z call_function aten_add_tensor_325 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_871, aten_add_tensor_324) {} 2025-06-05T19:09:23.9995270Z call_function aten_mul_tensor_174 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_325, p_encoder_layer_21_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:23.9995830Z call_function aten_add_tensor_326 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_174, p_encoder_layer_21_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:23.9996320Z call_function aten_view_copy_default_872 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_326, [8, 128]) {} 2025-06-05T19:09:23.9996960Z call_function aten_addmm_default_326 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_2_intermediate_dense_bias, aten_view_copy_default_872, aten_permute_copy_default_329) {} 2025-06-05T19:09:23.9997440Z call_function aten_view_copy_default_873 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_326, [1, 8, 512]) {} 2025-06-05T19:09:23.9997860Z call_function aten_relu_default_86 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_873,) {} 2025-06-05T19:09:23.9998340Z call_function aten_view_copy_default_874 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_86, [8, 512]) {} 2025-06-05T19:09:23.9999000Z call_function aten_addmm_default_327 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_ffn_2_output_dense_bias, aten_view_copy_default_874, aten_permute_copy_default_328) {} 2025-06-05T19:09:23.9999500Z call_function aten_view_copy_default_875 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_327, [1, 8, 128]) {} 2025-06-05T19:09:24.0000020Z call_function aten_add_tensor_327 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_875, aten_add_tensor_326) {} 2025-06-05T19:09:24.0000590Z call_function aten_mul_tensor_175 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_327, p_encoder_layer_21_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:24.0001150Z call_function aten_add_tensor_328 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_175, p_encoder_layer_21_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:24.0001650Z call_function aten_view_copy_default_876 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_328, [8, 128]) {} 2025-06-05T19:09:24.0002290Z call_function aten_addmm_default_328 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_intermediate_dense_bias, aten_view_copy_default_876, aten_permute_copy_default_330) {} 2025-06-05T19:09:24.0002770Z call_function aten_view_copy_default_877 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_328, [1, 8, 512]) {} 2025-06-05T19:09:24.0003190Z call_function aten_relu_default_87 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_877,) {} 2025-06-05T19:09:24.0003660Z call_function aten_view_copy_default_878 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_87, [8, 512]) {} 2025-06-05T19:09:24.0004330Z call_function aten_addmm_default_329 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_output_dense_bias, aten_view_copy_default_878, aten_permute_copy_default_321) {} 2025-06-05T19:09:24.0004830Z call_function aten_view_copy_default_879 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_329, [1, 8, 128]) {} 2025-06-05T19:09:24.0005370Z call_function aten_add_tensor_329 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_879, aten_add_tensor_328) {} 2025-06-05T19:09:24.0005950Z call_function aten_mul_tensor_176 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_329, p_encoder_layer_21_output_layernorm_weight) {} 2025-06-05T19:09:24.0006500Z call_function aten_add_tensor_330 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_176, p_encoder_layer_21_output_layernorm_bias) {} 2025-06-05T19:09:24.0007000Z call_function aten_view_copy_default_880 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_330, [8, 128]) {} 2025-06-05T19:09:24.0007630Z call_function aten_addmm_default_330 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_21_output_bottleneck_dense_bias, aten_view_copy_default_880, aten_permute_copy_default_320) {} 2025-06-05T19:09:24.0008110Z call_function aten_view_copy_default_881 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_330, [1, 8, 512]) {} 2025-06-05T19:09:24.0008630Z call_function aten_clone_default_66 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_881,) {} 2025-06-05T19:09:24.0009150Z call_function aten_add_tensor_331 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_66, aten_add_tensor_317) {} 2025-06-05T19:09:24.0009700Z call_function aten_mul_tensor_177 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_331, p_encoder_layer_21_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:24.0010300Z call_function aten_add_tensor_332 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_177, p_encoder_layer_21_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:24.0010770Z call_function aten_view_copy_default_882 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_332, [8, 512]) {} 2025-06-05T19:09:24.0011300Z call_function aten_view_copy_default_883 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_332, [8, 512]) {} 2025-06-05T19:09:24.0011770Z call_function aten_view_copy_default_884 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_332, [8, 512]) {} 2025-06-05T19:09:24.0012460Z call_function aten_addmm_default_331 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_bottleneck_input_dense_bias, aten_view_copy_default_882, aten_permute_copy_default_337) {} 2025-06-05T19:09:24.0013090Z call_function aten_addmm_default_332 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_bottleneck_attention_dense_bias, aten_view_copy_default_883, aten_permute_copy_default_338) {} 2025-06-05T19:09:24.0013720Z call_function aten_addmm_default_333 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_attention_self_value_bias, aten_view_copy_default_884, aten_permute_copy_default_334) {} 2025-06-05T19:09:24.0014190Z call_function aten_view_copy_default_885 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_331, [1, 8, 128]) {} 2025-06-05T19:09:24.0014670Z call_function aten_view_copy_default_886 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_332, [1, 8, 128]) {} 2025-06-05T19:09:24.0015200Z call_function aten_view_copy_default_887 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_333, [1, 8, 128]) {} 2025-06-05T19:09:24.0015770Z call_function aten_mul_tensor_178 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_885, p_encoder_layer_22_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:24.0016320Z call_function aten_mul_tensor_179 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_886, p_encoder_layer_22_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:24.0016860Z call_function aten_view_copy_default_888 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_887, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0017440Z call_function aten_add_tensor_333 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_178, p_encoder_layer_22_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:24.0018030Z call_function aten_add_tensor_334 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_179, p_encoder_layer_22_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:24.0018530Z call_function aten_permute_copy_default_471 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_888, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0019010Z call_function aten_view_copy_default_889 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_334, [8, 128]) {} 2025-06-05T19:09:24.0019490Z call_function aten_view_copy_default_890 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_334, [8, 128]) {} 2025-06-05T19:09:24.0020060Z call_function aten_expand_copy_default_88 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_471, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0020720Z call_function aten_addmm_default_334 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_attention_self_query_bias, aten_view_copy_default_889, aten_permute_copy_default_332) {} 2025-06-05T19:09:24.0021370Z call_function aten_addmm_default_335 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_attention_self_key_bias, aten_view_copy_default_890, aten_permute_copy_default_333) {} 2025-06-05T19:09:24.0021850Z call_function aten_view_copy_default_891 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_88, [4, 8, 32]) {} 2025-06-05T19:09:24.0022380Z call_function aten_view_copy_default_892 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_334, [1, 8, 128]) {} 2025-06-05T19:09:24.0022860Z call_function aten_view_copy_default_893 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_335, [1, 8, 128]) {} 2025-06-05T19:09:24.0023380Z call_function aten_view_copy_default_894 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_892, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0023870Z call_function aten_view_copy_default_895 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_893, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0024380Z call_function aten_permute_copy_default_472 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_894, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0024870Z call_function aten_permute_copy_default_473 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_895, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0025430Z call_function aten_expand_copy_default_89 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_472, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0025980Z call_function aten_permute_copy_default_474 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_473, [0, 1, 3, 2]) {} 2025-06-05T19:09:24.0026510Z call_function aten_view_copy_default_896 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_89, [4, 8, 32]) {} 2025-06-05T19:09:24.0027070Z call_function aten_expand_copy_default_90 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_474, [1, 4, 32, 8]) {} 2025-06-05T19:09:24.0027610Z call_function aten_view_copy_default_897 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_90, [4, 32, 8]) {} 2025-06-05T19:09:24.0028110Z call_function aten_bmm_default_44 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_896, aten_view_copy_default_897) {} 2025-06-05T19:09:24.0028620Z call_function aten_view_copy_default_898 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_44, [1, 4, 8, 8]) {} 2025-06-05T19:09:24.0029130Z call_function aten_div_tensor_22 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_898, _lifted_tensor_constant25) {} 2025-06-05T19:09:24.0029620Z call_function aten_add_tensor_335 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_22, aten_mul_tensor) {} 2025-06-05T19:09:24.0030130Z call_function aten__softmax_default_22 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_335, -1, False) {} 2025-06-05T19:09:24.0030660Z call_function aten_clone_default_67 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_22,) {} 2025-06-05T19:09:24.0031210Z call_function aten_expand_copy_default_91 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_67, [1, 4, 8, 8]) {} 2025-06-05T19:09:24.0031720Z call_function aten_view_copy_default_899 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_91, [4, 8, 8]) {} 2025-06-05T19:09:24.0032260Z call_function aten_bmm_default_45 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_899, aten_view_copy_default_891) {} 2025-06-05T19:09:24.0032730Z call_function aten_view_copy_default_900 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_45, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0033240Z call_function aten_permute_copy_default_475 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_900, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0033870Z call_function aten_clone_default_68 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_475,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:24.0034350Z call_function aten_view_copy_default_901 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_68, [1, 8, 128]) {} 2025-06-05T19:09:24.0034840Z call_function aten_view_copy_default_902 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_901, [8, 128]) {} 2025-06-05T19:09:24.0035480Z call_function aten_addmm_default_336 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_attention_output_dense_bias, aten_view_copy_default_902, aten_permute_copy_default_331) {} 2025-06-05T19:09:24.0036000Z call_function aten_view_copy_default_903 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_336, [1, 8, 128]) {} 2025-06-05T19:09:24.0036530Z call_function aten_add_tensor_336 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_903, aten_add_tensor_333) {} 2025-06-05T19:09:24.0037090Z call_function aten_mul_tensor_180 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_336, p_encoder_layer_22_attention_output_layernorm_weight) {} 2025-06-05T19:09:24.0037710Z call_function aten_add_tensor_337 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_180, p_encoder_layer_22_attention_output_layernorm_bias) {} 2025-06-05T19:09:24.0038190Z call_function aten_view_copy_default_904 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_337, [8, 128]) {} 2025-06-05T19:09:24.0038840Z call_function aten_addmm_default_337 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_0_intermediate_dense_bias, aten_view_copy_default_904, aten_permute_copy_default_340) {} 2025-06-05T19:09:24.0039320Z call_function aten_view_copy_default_905 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_337, [1, 8, 512]) {} 2025-06-05T19:09:24.0039750Z call_function aten_relu_default_88 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_905,) {} 2025-06-05T19:09:24.0040220Z call_function aten_view_copy_default_906 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_88, [8, 512]) {} 2025-06-05T19:09:24.0040850Z call_function aten_addmm_default_338 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_0_output_dense_bias, aten_view_copy_default_906, aten_permute_copy_default_339) {} 2025-06-05T19:09:24.0041370Z call_function aten_view_copy_default_907 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_338, [1, 8, 128]) {} 2025-06-05T19:09:24.0041900Z call_function aten_add_tensor_338 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_907, aten_add_tensor_337) {} 2025-06-05T19:09:24.0042470Z call_function aten_mul_tensor_181 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_338, p_encoder_layer_22_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:24.0043100Z call_function aten_add_tensor_339 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_181, p_encoder_layer_22_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:24.0043580Z call_function aten_view_copy_default_908 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_339, [8, 128]) {} 2025-06-05T19:09:24.0044260Z call_function aten_addmm_default_339 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_1_intermediate_dense_bias, aten_view_copy_default_908, aten_permute_copy_default_342) {} 2025-06-05T19:09:24.0044740Z call_function aten_view_copy_default_909 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_339, [1, 8, 512]) {} 2025-06-05T19:09:24.0045180Z call_function aten_relu_default_89 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_909,) {} 2025-06-05T19:09:24.0045660Z call_function aten_view_copy_default_910 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_89, [8, 512]) {} 2025-06-05T19:09:24.0046280Z call_function aten_addmm_default_340 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_1_output_dense_bias, aten_view_copy_default_910, aten_permute_copy_default_341) {} 2025-06-05T19:09:24.0046790Z call_function aten_view_copy_default_911 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_340, [1, 8, 128]) {} 2025-06-05T19:09:24.0047320Z call_function aten_add_tensor_340 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_911, aten_add_tensor_339) {} 2025-06-05T19:09:24.0047890Z call_function aten_mul_tensor_182 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_340, p_encoder_layer_22_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:24.0048510Z call_function aten_add_tensor_341 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_182, p_encoder_layer_22_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:24.0048990Z call_function aten_view_copy_default_912 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_341, [8, 128]) {} 2025-06-05T19:09:24.0049650Z call_function aten_addmm_default_341 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_2_intermediate_dense_bias, aten_view_copy_default_912, aten_permute_copy_default_344) {} 2025-06-05T19:09:24.0050130Z call_function aten_view_copy_default_913 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_341, [1, 8, 512]) {} 2025-06-05T19:09:24.0050560Z call_function aten_relu_default_90 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_913,) {} 2025-06-05T19:09:24.0051040Z call_function aten_view_copy_default_914 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_90, [8, 512]) {} 2025-06-05T19:09:24.0051660Z call_function aten_addmm_default_342 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_ffn_2_output_dense_bias, aten_view_copy_default_914, aten_permute_copy_default_343) {} 2025-06-05T19:09:24.0052160Z call_function aten_view_copy_default_915 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_342, [1, 8, 128]) {} 2025-06-05T19:09:24.0052700Z call_function aten_add_tensor_342 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_915, aten_add_tensor_341) {} 2025-06-05T19:09:24.0053250Z call_function aten_mul_tensor_183 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_342, p_encoder_layer_22_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:24.0053850Z call_function aten_add_tensor_343 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_183, p_encoder_layer_22_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:24.0054330Z call_function aten_view_copy_default_916 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_343, [8, 128]) {} 2025-06-05T19:09:24.0054990Z call_function aten_addmm_default_343 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_intermediate_dense_bias, aten_view_copy_default_916, aten_permute_copy_default_345) {} 2025-06-05T19:09:24.0055470Z call_function aten_view_copy_default_917 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_343, [1, 8, 512]) {} 2025-06-05T19:09:24.0055900Z call_function aten_relu_default_91 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_917,) {} 2025-06-05T19:09:24.0056380Z call_function aten_view_copy_default_918 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_91, [8, 512]) {} 2025-06-05T19:09:24.0057010Z call_function aten_addmm_default_344 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_output_dense_bias, aten_view_copy_default_918, aten_permute_copy_default_336) {} 2025-06-05T19:09:24.0057540Z call_function aten_view_copy_default_919 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_344, [1, 8, 128]) {} 2025-06-05T19:09:24.0058070Z call_function aten_add_tensor_344 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_919, aten_add_tensor_343) {} 2025-06-05T19:09:24.0058630Z call_function aten_mul_tensor_184 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_344, p_encoder_layer_22_output_layernorm_weight) {} 2025-06-05T19:09:24.0059240Z call_function aten_add_tensor_345 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_184, p_encoder_layer_22_output_layernorm_bias) {} 2025-06-05T19:09:24.0059720Z call_function aten_view_copy_default_920 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_345, [8, 128]) {} 2025-06-05T19:09:24.0060390Z call_function aten_addmm_default_345 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_22_output_bottleneck_dense_bias, aten_view_copy_default_920, aten_permute_copy_default_335) {} 2025-06-05T19:09:24.0060880Z call_function aten_view_copy_default_921 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_345, [1, 8, 512]) {} 2025-06-05T19:09:24.0061400Z call_function aten_clone_default_69 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_921,) {} 2025-06-05T19:09:24.0061920Z call_function aten_add_tensor_346 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_69, aten_add_tensor_332) {} 2025-06-05T19:09:24.0062470Z call_function aten_mul_tensor_185 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_346, p_encoder_layer_22_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:24.0063060Z call_function aten_add_tensor_347 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_185, p_encoder_layer_22_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:24.0063540Z call_function aten_view_copy_default_922 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_347, [8, 512]) {} 2025-06-05T19:09:24.0064060Z call_function aten_view_copy_default_923 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_347, [8, 512]) {} 2025-06-05T19:09:24.0064580Z call_function aten_view_copy_default_924 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_347, [8, 512]) {} 2025-06-05T19:09:24.0065220Z call_function aten_addmm_default_346 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_bottleneck_input_dense_bias, aten_view_copy_default_922, aten_permute_copy_default_352) {} 2025-06-05T19:09:24.0065890Z call_function aten_addmm_default_347 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_bottleneck_attention_dense_bias, aten_view_copy_default_923, aten_permute_copy_default_353) {} 2025-06-05T19:09:24.0066530Z call_function aten_addmm_default_348 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_attention_self_value_bias, aten_view_copy_default_924, aten_permute_copy_default_349) {} 2025-06-05T19:09:24.0067010Z call_function aten_view_copy_default_925 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_346, [1, 8, 128]) {} 2025-06-05T19:09:24.0067490Z call_function aten_view_copy_default_926 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_347, [1, 8, 128]) {} 2025-06-05T19:09:24.0067970Z call_function aten_view_copy_default_927 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_348, [1, 8, 128]) {} 2025-06-05T19:09:24.0068550Z call_function aten_mul_tensor_186 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_925, p_encoder_layer_23_bottleneck_input_layernorm_weight) {} 2025-06-05T19:09:24.0069100Z call_function aten_mul_tensor_187 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_926, p_encoder_layer_23_bottleneck_attention_layernorm_weight) {} 2025-06-05T19:09:24.0069610Z call_function aten_view_copy_default_928 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_927, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0070240Z call_function aten_add_tensor_348 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_186, p_encoder_layer_23_bottleneck_input_layernorm_bias) {} 2025-06-05T19:09:24.0070810Z call_function aten_add_tensor_349 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_187, p_encoder_layer_23_bottleneck_attention_layernorm_bias) {} 2025-06-05T19:09:24.0071350Z call_function aten_permute_copy_default_476 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_928, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0071820Z call_function aten_view_copy_default_929 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_349, [8, 128]) {} 2025-06-05T19:09:24.0072300Z call_function aten_view_copy_default_930 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_349, [8, 128]) {} 2025-06-05T19:09:24.0072860Z call_function aten_expand_copy_default_92 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_476, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0073490Z call_function aten_addmm_default_349 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_attention_self_query_bias, aten_view_copy_default_929, aten_permute_copy_default_347) {} 2025-06-05T19:09:24.0074170Z call_function aten_addmm_default_350 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_attention_self_key_bias, aten_view_copy_default_930, aten_permute_copy_default_348) {} 2025-06-05T19:09:24.0074680Z call_function aten_view_copy_default_931 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_92, [4, 8, 32]) {} 2025-06-05T19:09:24.0075160Z call_function aten_view_copy_default_932 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_349, [1, 8, 128]) {} 2025-06-05T19:09:24.0075700Z call_function aten_view_copy_default_933 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_350, [1, 8, 128]) {} 2025-06-05T19:09:24.0076190Z call_function aten_view_copy_default_934 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_932, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0076700Z call_function aten_view_copy_default_935 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_933, [1, 8, 4, 32]) {} 2025-06-05T19:09:24.0077210Z call_function aten_permute_copy_default_477 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_934, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0077710Z call_function aten_permute_copy_default_478 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_935, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0078270Z call_function aten_expand_copy_default_93 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_477, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0078780Z call_function aten_permute_copy_default_479 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_permute_copy_default_478, [0, 1, 3, 2]) {} 2025-06-05T19:09:24.0079320Z call_function aten_view_copy_default_936 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_93, [4, 8, 32]) {} 2025-06-05T19:09:24.0079900Z call_function aten_expand_copy_default_94 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_permute_copy_default_479, [1, 4, 32, 8]) {} 2025-06-05T19:09:24.0080390Z call_function aten_view_copy_default_937 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_94, [4, 32, 8]) {} 2025-06-05T19:09:24.0080950Z call_function aten_bmm_default_46 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_936, aten_view_copy_default_937) {} 2025-06-05T19:09:24.0081430Z call_function aten_view_copy_default_938 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_46, [1, 4, 8, 8]) {} 2025-06-05T19:09:24.0081970Z call_function aten_div_tensor_23 : schema = aten::div.Tensor(Tensor self, Tensor other) -> Tensor (aten_view_copy_default_938, _lifted_tensor_constant26) {} 2025-06-05T19:09:24.0082470Z call_function aten_add_tensor_350 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_div_tensor_23, aten_mul_tensor) {} 2025-06-05T19:09:24.0082980Z call_function aten__softmax_default_23 : schema = aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_add_tensor_350, -1, False) {} 2025-06-05T19:09:24.0083480Z call_function aten_clone_default_70 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten__softmax_default_23,) {} 2025-06-05T19:09:24.0084020Z call_function aten_expand_copy_default_95 : schema = aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor (aten_clone_default_70, [1, 4, 8, 8]) {} 2025-06-05T19:09:24.0084560Z call_function aten_view_copy_default_939 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_expand_copy_default_95, [4, 8, 8]) {} 2025-06-05T19:09:24.0085070Z call_function aten_bmm_default_47 : schema = aten::bmm(Tensor self, Tensor mat2) -> Tensor (aten_view_copy_default_939, aten_view_copy_default_931) {} 2025-06-05T19:09:24.0085560Z call_function aten_view_copy_default_940 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_bmm_default_47, [1, 4, 8, 32]) {} 2025-06-05T19:09:24.0086120Z call_function aten_permute_copy_default_480 : schema = aten::permute_copy(Tensor self, int[] dims) -> Tensor (aten_view_copy_default_940, [0, 2, 1, 3]) {} 2025-06-05T19:09:24.0086670Z call_function aten_clone_default_71 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_permute_copy_default_480,) {'memory_format': torch.contiguous_format} 2025-06-05T19:09:24.0087200Z call_function aten_view_copy_default_941 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_clone_default_71, [1, 8, 128]) {} 2025-06-05T19:09:24.0087680Z call_function aten_view_copy_default_942 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_view_copy_default_941, [8, 128]) {} 2025-06-05T19:09:24.0088310Z call_function aten_addmm_default_351 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_attention_output_dense_bias, aten_view_copy_default_942, aten_permute_copy_default_346) {} 2025-06-05T19:09:24.0088790Z call_function aten_view_copy_default_943 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_351, [1, 8, 128]) {} 2025-06-05T19:09:24.0089320Z call_function aten_add_tensor_351 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_943, aten_add_tensor_348) {} 2025-06-05T19:09:24.0089920Z call_function aten_mul_tensor_188 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_351, p_encoder_layer_23_attention_output_layernorm_weight) {} 2025-06-05T19:09:24.0090530Z call_function aten_add_tensor_352 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_188, p_encoder_layer_23_attention_output_layernorm_bias) {} 2025-06-05T19:09:24.0091010Z call_function aten_view_copy_default_944 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_352, [8, 128]) {} 2025-06-05T19:09:24.0091730Z call_function aten_addmm_default_352 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_0_intermediate_dense_bias, aten_view_copy_default_944, aten_permute_copy_default_355) {} 2025-06-05T19:09:24.0092210Z call_function aten_view_copy_default_945 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_352, [1, 8, 512]) {} 2025-06-05T19:09:24.0092670Z call_function aten_relu_default_92 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_945,) {} 2025-06-05T19:09:24.0093150Z call_function aten_view_copy_default_946 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_92, [8, 512]) {} 2025-06-05T19:09:24.0093780Z call_function aten_addmm_default_353 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_0_output_dense_bias, aten_view_copy_default_946, aten_permute_copy_default_354) {} 2025-06-05T19:09:24.0094250Z call_function aten_view_copy_default_947 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_353, [1, 8, 128]) {} 2025-06-05T19:09:24.0094780Z call_function aten_add_tensor_353 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_947, aten_add_tensor_352) {} 2025-06-05T19:09:24.0095340Z call_function aten_mul_tensor_189 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_353, p_encoder_layer_23_ffn_0_output_layernorm_weight) {} 2025-06-05T19:09:24.0095910Z call_function aten_add_tensor_354 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_189, p_encoder_layer_23_ffn_0_output_layernorm_bias) {} 2025-06-05T19:09:24.0096380Z call_function aten_view_copy_default_948 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_354, [8, 128]) {} 2025-06-05T19:09:24.0097070Z call_function aten_addmm_default_354 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_1_intermediate_dense_bias, aten_view_copy_default_948, aten_permute_copy_default_357) {} 2025-06-05T19:09:24.0097540Z call_function aten_view_copy_default_949 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_354, [1, 8, 512]) {} 2025-06-05T19:09:24.0097990Z call_function aten_relu_default_93 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_949,) {} 2025-06-05T19:09:24.0098470Z call_function aten_view_copy_default_950 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_93, [8, 512]) {} 2025-06-05T19:09:24.0099090Z call_function aten_addmm_default_355 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_1_output_dense_bias, aten_view_copy_default_950, aten_permute_copy_default_356) {} 2025-06-05T19:09:24.0099570Z call_function aten_view_copy_default_951 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_355, [1, 8, 128]) {} 2025-06-05T19:09:24.0100090Z call_function aten_add_tensor_355 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_951, aten_add_tensor_354) {} 2025-06-05T19:09:24.0100680Z call_function aten_mul_tensor_190 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_355, p_encoder_layer_23_ffn_1_output_layernorm_weight) {} 2025-06-05T19:09:24.0101250Z call_function aten_add_tensor_356 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_190, p_encoder_layer_23_ffn_1_output_layernorm_bias) {} 2025-06-05T19:09:24.0101730Z call_function aten_view_copy_default_952 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_356, [8, 128]) {} 2025-06-05T19:09:24.0102410Z call_function aten_addmm_default_356 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_2_intermediate_dense_bias, aten_view_copy_default_952, aten_permute_copy_default_359) {} 2025-06-05T19:09:24.0102890Z call_function aten_view_copy_default_953 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_356, [1, 8, 512]) {} 2025-06-05T19:09:24.0103330Z call_function aten_relu_default_94 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_953,) {} 2025-06-05T19:09:24.0103810Z call_function aten_view_copy_default_954 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_94, [8, 512]) {} 2025-06-05T19:09:24.0104440Z call_function aten_addmm_default_357 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_ffn_2_output_dense_bias, aten_view_copy_default_954, aten_permute_copy_default_358) {} 2025-06-05T19:09:24.0104910Z call_function aten_view_copy_default_955 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_357, [1, 8, 128]) {} 2025-06-05T19:09:24.0105490Z call_function aten_add_tensor_357 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_955, aten_add_tensor_356) {} 2025-06-05T19:09:24.0106020Z call_function aten_mul_tensor_191 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_357, p_encoder_layer_23_ffn_2_output_layernorm_weight) {} 2025-06-05T19:09:24.0106600Z call_function aten_add_tensor_358 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_191, p_encoder_layer_23_ffn_2_output_layernorm_bias) {} 2025-06-05T19:09:24.0107130Z call_function aten_view_copy_default_956 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_358, [8, 128]) {} 2025-06-05T19:09:24.0107770Z call_function aten_addmm_default_358 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_intermediate_dense_bias, aten_view_copy_default_956, aten_permute_copy_default_360) {} 2025-06-05T19:09:24.0108250Z call_function aten_view_copy_default_957 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_358, [1, 8, 512]) {} 2025-06-05T19:09:24.0108710Z call_function aten_relu_default_95 : schema = aten::relu(Tensor self) -> Tensor (aten_view_copy_default_957,) {} 2025-06-05T19:09:24.0109180Z call_function aten_view_copy_default_958 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_relu_default_95, [8, 512]) {} 2025-06-05T19:09:24.0109820Z call_function aten_addmm_default_359 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_output_dense_bias, aten_view_copy_default_958, aten_permute_copy_default_351) {} 2025-06-05T19:09:24.0110290Z call_function aten_view_copy_default_959 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_359, [1, 8, 128]) {} 2025-06-05T19:09:24.0110840Z call_function aten_add_tensor_359 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_view_copy_default_959, aten_add_tensor_358) {} 2025-06-05T19:09:24.0111370Z call_function aten_mul_tensor_192 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_359, p_encoder_layer_23_output_layernorm_weight) {} 2025-06-05T19:09:24.0111980Z call_function aten_add_tensor_360 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_192, p_encoder_layer_23_output_layernorm_bias) {} 2025-06-05T19:09:24.0274590Z call_function aten_view_copy_default_960 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_add_tensor_360, [8, 128]) {} 2025-06-05T19:09:24.0275280Z call_function aten_addmm_default_360 : schema = aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor (p_encoder_layer_23_output_bottleneck_dense_bias, aten_view_copy_default_960, aten_permute_copy_default_350) {} 2025-06-05T19:09:24.0275770Z call_function aten_view_copy_default_961 : schema = aten::view_copy(Tensor self, SymInt[] size) -> Tensor (aten_addmm_default_360, [1, 8, 512]) {} 2025-06-05T19:09:24.0276340Z call_function aten_clone_default_72 : schema = aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor (aten_view_copy_default_961,) {} 2025-06-05T19:09:24.0276860Z call_function aten_add_tensor_361 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_clone_default_72, aten_add_tensor_347) {} 2025-06-05T19:09:24.0277400Z call_function aten_mul_tensor_193 : schema = aten::mul.Tensor(Tensor self, Tensor other) -> Tensor (aten_add_tensor_361, p_encoder_layer_23_output_bottleneck_layernorm_weight) {} 2025-06-05T19:09:24.0277970Z call_function aten_add_tensor_362 : schema = aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor (aten_mul_tensor_193, p_encoder_layer_23_output_bottleneck_layernorm_bias) {} 2025-06-05T19:09:24.0278520Z call_function aten_select_copy_int : schema = aten::select_copy.int(Tensor self, int dim, SymInt index) -> Tensor (aten_add_tensor_362, 1, 0) {} 2025-06-05T19:09:24.0278950Z output output output ([aten_add_tensor_362, aten_select_copy_int],) {}[DEBUG 2025-06-05 19:09:23,991 node_visitor.py:97] Serializing: input_ids, data type: torch.int64, dims: [1, 8] 2025-06-05T19:09:24.0279180Z [INFO 2025-06-05 19:09:23,991 mps_preprocess.py:193] Visiting: aten_full_default, aten.full.default 2025-06-05T19:09:24.0279420Z [DEBUG 2025-06-05 19:09:23,992 node_visitor.py:97] Serializing: aten_full_default, data type: torch.float32, dims: [1, 8] 2025-06-05T19:09:24.0279600Z [INFO 2025-06-05 19:09:23,992 mps_preprocess.py:193] Visiting: aten_full_default_1, aten.full.default 2025-06-05T19:09:24.0279820Z [DEBUG 2025-06-05 19:09:23,992 node_visitor.py:97] Serializing: aten_full_default_1, data type: torch.int64, dims: [1, 8] 2025-06-05T19:09:24.0280090Z [INFO 2025-06-05 19:09:23,992 mps_preprocess.py:193] Visiting: aten_embedding_default, aten.embedding.default 2025-06-05T19:09:24.0280370Z [DEBUG 2025-06-05 19:09:23,994 node_visitor.py:97] Serializing: p_embeddings_word_embeddings_weight, data type: torch.float32, dims: [30522, 128] 2025-06-05T19:09:24.0280620Z [DEBUG 2025-06-05 19:09:23,995 node_visitor.py:97] Serializing: aten_embedding_default, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:24.0280830Z [INFO 2025-06-05 19:09:23,995 mps_preprocess.py:193] Visiting: aten_permute_copy_default, aten.permute_copy.default 2025-06-05T19:09:24.0281160Z [DEBUG 2025-06-05 19:09:23,996 node_visitor.py:97] Serializing: p_embeddings_embedding_transformation_weight, data type: torch.float32, dims: [512, 384] 2025-06-05T19:09:24.0281400Z [DEBUG 2025-06-05 19:09:23,996 node_visitor.py:97] Serializing: aten_permute_copy_default, data type: torch.float32, dims: [384, 512] 2025-06-05T19:09:24.0281610Z [INFO 2025-06-05 19:09:23,996 mps_preprocess.py:193] Visiting: aten_permute_copy_default_1, aten.permute_copy.default 2025-06-05T19:09:24.0281910Z [DEBUG 2025-06-05 19:09:23,997 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_output_dense_weight, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0282160Z [DEBUG 2025-06-05 19:09:23,997 node_visitor.py:97] Serializing: aten_permute_copy_default_1, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0282370Z [INFO 2025-06-05 19:09:23,997 mps_preprocess.py:193] Visiting: aten_permute_copy_default_2, aten.permute_copy.default 2025-06-05T19:09:24.0282660Z [DEBUG 2025-06-05 19:09:23,998 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_self_query_weight, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0282910Z [DEBUG 2025-06-05 19:09:23,998 node_visitor.py:97] Serializing: aten_permute_copy_default_2, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0283120Z [INFO 2025-06-05 19:09:23,998 mps_preprocess.py:193] Visiting: aten_permute_copy_default_3, aten.permute_copy.default 2025-06-05T19:09:24.0283400Z [DEBUG 2025-06-05 19:09:23,999 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_self_key_weight, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0283650Z [DEBUG 2025-06-05 19:09:24,000 node_visitor.py:97] Serializing: aten_permute_copy_default_3, data type: torch.float32, dims: [128, 128] 2025-06-05T19:09:24.0283860Z [INFO 2025-06-05 19:09:24,000 mps_preprocess.py:193] Visiting: aten_permute_copy_default_4, aten.permute_copy.default 2025-06-05T19:09:24.0284140Z [DEBUG 2025-06-05 19:09:24,000 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_self_value_weight, data type: torch.float32, dims: [128, 512] 2025-06-05T19:09:24.0284380Z [DEBUG 2025-06-05 19:09:24,001 node_visitor.py:97] Serializing: aten_permute_copy_default_4, data type: torch.float32, dims: [512, 128] 2025-06-05T19:09:24.0284650Z [INFO 2025-06-05 19:09:24,001 mps_preprocess.py:193] Visiting: aten_permute_copy_default_5, aten.permute_copy.default 2025-06-05T19:09:24.0284950Z [DEBUG 2025-06-05 19:09:24,001 node_visitor.py:97] Serializing: p_encoder_layer_0_output_bottleneck_dense_weight, data type: torch.float32, dims: [512, 128] 2025-06-05T19:09:24.0285220Z [DEBUG 2025-06-05 19:09:24,002 node_visitor.py:97] Serializing: aten_permute_copy_default_5, data type: torch.float32, dims: [128, 512] 2025-06-05T19:09:24.0285440Z [INFO 2025-06-05 19:09:24,002 mps_preprocess.py:193] Visiting: aten_permute_copy_default_6, aten.permute_copy.default 2025-06-05T19:09:24.0285700Z [DEBUG 2025-06-05 19:09:24,002 node_visitor.py:97] Serializing: p_encoder_layer_0_output_dense_weight, data type: torch.float32, dims: [128, 512] 2025-06-05T19:09:24.0285950Z [DEBUG 2025-06-05 19:09:24,003 node_visitor.py:97] Serializing: aten_permute_copy_default_6, data type: torch.float32, dims: [512, 128] 2025-06-05T19:09:24.0286170Z [INFO 2025-06-05 19:09:24,003 mps_preprocess.py:193] Visiting: aten_permute_copy_default_7, aten.permute_copy.default 2025-06-05T19:09:24.0286530Z [DEBUG 2025-06-05 19:09:24,004 node_visitor.py:97] Serializing: p_encoder_layer_0_bottleneck_input_dense_weight, data type: torch.float32, dims: [128, 512] 2025-06-05T19:09:24.0286790Z [DEBUG 2025-06-05 19:09:24,004 node_visitor.py:97] Serializing: aten_permute_copy_default_7, data type: torch.float32, dims: [512, 128] 2025-06-05T19:09:24.0287000Z [INFO 2025-06-05 19:09:24,004 mps_preprocess.py:193] Visiting: aten_permute_copy_default_8, aten.permute_copy.default 2025-06-05T19:09:24.0287310Z [DEBUG 2025-06-05 19:09:24,005 node_visitor.py:97] Serializing: p_encoder_layer_0_bottleneck_attention_dense_weight, data type: torch.float32, dims: [128, 512] 2025-06-05T19:09:24.0287570Z [DEBUG 2025-06-05 19:09:24,005 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[DEBUG 2025-06-05 19:09:24,390 node_visitor.py:97] Serializing: aten_add_tensor_2, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:24.4151810Z [INFO 2025-06-05 19:09:24,390 mps_preprocess.py:193] Visiting: aten_clone_default, aten.clone.default 2025-06-05T19:09:24.4152010Z [INFO 2025-06-05 19:09:24,390 mps_preprocess.py:193] Visiting: aten_view_copy_default_2, aten.view_copy.default 2025-06-05T19:09:24.4152240Z [DEBUG 2025-06-05 19:09:24,391 node_visitor.py:97] Serializing: aten_view_copy_default_2, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:24.4152440Z [INFO 2025-06-05 19:09:24,391 mps_preprocess.py:193] Visiting: aten_view_copy_default_3, aten.view_copy.default 2025-06-05T19:09:24.4152670Z [DEBUG 2025-06-05 19:09:24,391 node_visitor.py:97] Serializing: aten_view_copy_default_3, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:24.4152940Z [INFO 2025-06-05 19:09:24,391 mps_preprocess.py:193] Visiting: aten_view_copy_default_4, aten.view_copy.default 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Visiting: aten_clone_default_2, aten.clone.default 2025-06-05T19:09:24.4321630Z [INFO 2025-06-05 19:09:24,410 mps_preprocess.py:193] Visiting: aten_view_copy_default_21, aten.view_copy.default 2025-06-05T19:09:24.4321870Z [DEBUG 2025-06-05 19:09:24,410 node_visitor.py:97] Serializing: aten_view_copy_default_21, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:24.4322060Z [INFO 2025-06-05 19:09:24,410 mps_preprocess.py:193] Visiting: aten_view_copy_default_22, aten.view_copy.default 2025-06-05T19:09:24.4322300Z [DEBUG 2025-06-05 19:09:24,410 node_visitor.py:97] Serializing: aten_view_copy_default_22, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:24.4322480Z [INFO 2025-06-05 19:09:24,410 mps_preprocess.py:193] Visiting: aten_addmm_default_6, aten.addmm.default 2025-06-05T19:09:24.4322760Z [DEBUG 2025-06-05 19:09:24,411 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_output_dense_bias, data type: torch.float32, dims: [128] 2025-06-05T19:09:24.4322980Z [DEBUG 2025-06-05 19:09:24,411 node_visitor.py:97] Serializing: aten_addmm_default_6, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:24.4323220Z [INFO 2025-06-05 19:09:24,411 mps_preprocess.py:193] Visiting: aten_view_copy_default_23, aten.view_copy.default 2025-06-05T19:09:24.4323470Z [DEBUG 2025-06-05 19:09:24,412 node_visitor.py:97] Serializing: aten_view_copy_default_23, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:24.4323670Z [INFO 2025-06-05 19:09:24,412 mps_preprocess.py:193] Visiting: aten_add_tensor_6, aten.add.Tensor 2025-06-05T19:09:24.4323890Z [DEBUG 2025-06-05 19:09:24,412 node_visitor.py:97] Serializing: aten_add_tensor_6, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:24.4324060Z [INFO 2025-06-05 19:09:24,412 mps_preprocess.py:193] Visiting: aten_mul_tensor_4, aten.mul.Tensor 2025-06-05T19:09:24.4324350Z [DEBUG 2025-06-05 19:09:24,413 node_visitor.py:97] Serializing: p_encoder_layer_0_attention_output_layernorm_weight, data type: 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19:09:25,546 node_visitor.py:97] Serializing: aten_relu_default_94, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5625000Z [INFO 2025-06-05 19:09:25,546 mps_preprocess.py:193] Visiting: aten_view_copy_default_954, aten.view_copy.default 2025-06-05T19:09:25.5625240Z [DEBUG 2025-06-05 19:09:25,546 node_visitor.py:97] Serializing: aten_view_copy_default_954, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:25.5625490Z [INFO 2025-06-05 19:09:25,546 mps_preprocess.py:193] Visiting: aten_addmm_default_357, aten.addmm.default 2025-06-05T19:09:25.5625770Z [DEBUG 2025-06-05 19:09:25,547 node_visitor.py:97] Serializing: p_encoder_layer_23_ffn_2_output_dense_bias, data type: torch.float32, dims: [128] 2025-06-05T19:09:25.5626010Z [DEBUG 2025-06-05 19:09:25,547 node_visitor.py:97] Serializing: aten_addmm_default_357, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:25.5626210Z [INFO 2025-06-05 19:09:25,547 mps_preprocess.py:193] Visiting: 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[INFO 2025-06-05 19:09:25,549 mps_preprocess.py:193] Visiting: aten_add_tensor_358, aten.add.Tensor 2025-06-05T19:09:25.5628000Z [DEBUG 2025-06-05 19:09:25,550 node_visitor.py:97] Serializing: p_encoder_layer_23_ffn_2_output_layernorm_bias, data type: torch.float32, dims: [128] 2025-06-05T19:09:25.5628260Z [DEBUG 2025-06-05 19:09:25,550 node_visitor.py:97] Serializing: aten_add_tensor_358, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:25.5628500Z [INFO 2025-06-05 19:09:25,550 mps_preprocess.py:193] Visiting: aten_view_copy_default_956, aten.view_copy.default 2025-06-05T19:09:25.5628750Z [DEBUG 2025-06-05 19:09:25,550 node_visitor.py:97] Serializing: aten_view_copy_default_956, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:25.5628940Z [INFO 2025-06-05 19:09:25,550 mps_preprocess.py:193] Visiting: aten_addmm_default_358, aten.addmm.default 2025-06-05T19:09:25.5629220Z [DEBUG 2025-06-05 19:09:25,551 node_visitor.py:97] Serializing: p_encoder_layer_23_intermediate_dense_bias, data type: torch.float32, dims: [512] 2025-06-05T19:09:25.5629450Z [DEBUG 2025-06-05 19:09:25,551 node_visitor.py:97] Serializing: aten_addmm_default_358, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:25.5629650Z [INFO 2025-06-05 19:09:25,551 mps_preprocess.py:193] Visiting: aten_view_copy_default_957, aten.view_copy.default 2025-06-05T19:09:25.5629960Z [DEBUG 2025-06-05 19:09:25,552 node_visitor.py:97] Serializing: aten_view_copy_default_957, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5630140Z [INFO 2025-06-05 19:09:25,552 mps_preprocess.py:193] Visiting: aten_relu_default_95, aten.relu.default 2025-06-05T19:09:25.5630380Z [DEBUG 2025-06-05 19:09:25,552 node_visitor.py:97] Serializing: aten_relu_default_95, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5630580Z [INFO 2025-06-05 19:09:25,552 mps_preprocess.py:193] Visiting: aten_view_copy_default_958, aten.view_copy.default 2025-06-05T19:09:25.5630820Z [DEBUG 2025-06-05 19:09:25,552 node_visitor.py:97] Serializing: aten_view_copy_default_958, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:25.5631020Z [INFO 2025-06-05 19:09:25,552 mps_preprocess.py:193] Visiting: aten_addmm_default_359, aten.addmm.default 2025-06-05T19:09:25.5631330Z [DEBUG 2025-06-05 19:09:25,553 node_visitor.py:97] Serializing: p_encoder_layer_23_output_dense_bias, data type: torch.float32, dims: [128] 2025-06-05T19:09:25.5631560Z [DEBUG 2025-06-05 19:09:25,553 node_visitor.py:97] Serializing: aten_addmm_default_359, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:25.5631830Z [INFO 2025-06-05 19:09:25,553 mps_preprocess.py:193] Visiting: aten_view_copy_default_959, aten.view_copy.default 2025-06-05T19:09:25.5632080Z [DEBUG 2025-06-05 19:09:25,553 node_visitor.py:97] Serializing: aten_view_copy_default_959, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:25.5632250Z [INFO 2025-06-05 19:09:25,553 mps_preprocess.py:193] Visiting: aten_add_tensor_359, aten.add.Tensor 2025-06-05T19:09:25.5632470Z [DEBUG 2025-06-05 19:09:25,554 node_visitor.py:97] Serializing: aten_add_tensor_359, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:25.5632640Z [INFO 2025-06-05 19:09:25,554 mps_preprocess.py:193] Visiting: aten_mul_tensor_192, aten.mul.Tensor 2025-06-05T19:09:25.5632910Z [DEBUG 2025-06-05 19:09:25,554 node_visitor.py:97] Serializing: p_encoder_layer_23_output_layernorm_weight, data type: torch.float32, dims: [128] 2025-06-05T19:09:25.5633140Z [DEBUG 2025-06-05 19:09:25,555 node_visitor.py:97] Serializing: aten_mul_tensor_192, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:25.5633320Z [INFO 2025-06-05 19:09:25,555 mps_preprocess.py:193] Visiting: aten_add_tensor_360, aten.add.Tensor 2025-06-05T19:09:25.5633600Z [DEBUG 2025-06-05 19:09:25,555 node_visitor.py:97] Serializing: p_encoder_layer_23_output_layernorm_bias, data type: torch.float32, dims: [128] 2025-06-05T19:09:25.5633830Z [DEBUG 2025-06-05 19:09:25,556 node_visitor.py:97] Serializing: aten_add_tensor_360, data type: torch.float32, dims: [1, 8, 128] 2025-06-05T19:09:25.5634040Z [INFO 2025-06-05 19:09:25,556 mps_preprocess.py:193] Visiting: aten_view_copy_default_960, aten.view_copy.default 2025-06-05T19:09:25.5634290Z [DEBUG 2025-06-05 19:09:25,556 node_visitor.py:97] Serializing: aten_view_copy_default_960, data type: torch.float32, dims: [8, 128] 2025-06-05T19:09:25.5634480Z [INFO 2025-06-05 19:09:25,556 mps_preprocess.py:193] Visiting: aten_addmm_default_360, aten.addmm.default 2025-06-05T19:09:25.5634800Z [DEBUG 2025-06-05 19:09:25,557 node_visitor.py:97] Serializing: p_encoder_layer_23_output_bottleneck_dense_bias, data type: torch.float32, dims: [512] 2025-06-05T19:09:25.5635040Z [DEBUG 2025-06-05 19:09:25,557 node_visitor.py:97] Serializing: aten_addmm_default_360, data type: torch.float32, dims: [8, 512] 2025-06-05T19:09:25.5635250Z [INFO 2025-06-05 19:09:25,557 mps_preprocess.py:193] Visiting: aten_view_copy_default_961, aten.view_copy.default 2025-06-05T19:09:25.5635500Z [DEBUG 2025-06-05 19:09:25,557 node_visitor.py:97] Serializing: aten_view_copy_default_961, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5635680Z [INFO 2025-06-05 19:09:25,557 mps_preprocess.py:193] Visiting: aten_clone_default_72, aten.clone.default 2025-06-05T19:09:25.5635870Z [INFO 2025-06-05 19:09:25,557 mps_preprocess.py:193] Visiting: aten_add_tensor_361, aten.add.Tensor 2025-06-05T19:09:25.5636170Z [DEBUG 2025-06-05 19:09:25,557 node_visitor.py:97] Serializing: aten_add_tensor_361, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5636350Z [INFO 2025-06-05 19:09:25,558 mps_preprocess.py:193] Visiting: aten_mul_tensor_193, aten.mul.Tensor 2025-06-05T19:09:25.5636660Z [DEBUG 2025-06-05 19:09:25,558 node_visitor.py:97] Serializing: p_encoder_layer_23_output_bottleneck_layernorm_weight, data type: torch.float32, dims: [512] 2025-06-05T19:09:25.5636900Z [DEBUG 2025-06-05 19:09:25,558 node_visitor.py:97] Serializing: aten_mul_tensor_193, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5637070Z [INFO 2025-06-05 19:09:25,558 mps_preprocess.py:193] Visiting: aten_add_tensor_362, aten.add.Tensor 2025-06-05T19:09:25.5637370Z [DEBUG 2025-06-05 19:09:25,559 node_visitor.py:97] Serializing: p_encoder_layer_23_output_bottleneck_layernorm_bias, data type: torch.float32, dims: [512] 2025-06-05T19:09:25.5637640Z [DEBUG 2025-06-05 19:09:25,559 node_visitor.py:97] Serializing: aten_add_tensor_362, data type: torch.float32, dims: [1, 8, 512] 2025-06-05T19:09:25.5637840Z [INFO 2025-06-05 19:09:25,559 mps_preprocess.py:193] Visiting: aten_select_copy_int, aten.select_copy.int 2025-06-05T19:09:25.5638130Z [DEBUG 2025-06-05 19:09:25,560 node_visitor.py:97] Serializing: aten_select_copy_int, data type: torch.float32, dims: [1, 512] 2025-06-05T19:09:25.5638250Z [INFO 2025-06-05 19:09:25,560 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:09:25.5638360Z [INFO 2025-06-05 19:09:25,560 mps_preprocess.py:285] Version: 0 2025-06-05T19:09:25.5638470Z [INFO 2025-06-05 19:09:25,560 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:09:25.5638840Z [INFO 2025-06-05 19:09:25,560 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSFull(output_id=1, shape=[1, 8], fill_value=1, dtype=), min_max=None) 2025-06-05T19:09:25.5639200Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSFull(output_id=2, shape=[1, 8], fill_value=0, dtype=), min_max=None) 2025-06-05T19:09:25.5639590Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSEmbedding(input1_id=3, input2_id=0, output_id=4, padding_idx=0, scale_grad_by_freq=False, sparse=False), min_max=None) 2025-06-05T19:09:25.5639900Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSPermute(input1_id=5, output_id=6, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5640190Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSPermute(input1_id=7, output_id=8, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5640480Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSPermute(input1_id=9, output_id=10, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5640780Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSPermute(input1_id=11, output_id=12, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5641080Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSPermute(input1_id=13, output_id=14, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5641420Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSPermute(input1_id=15, output_id=16, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5641710Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSPermute(input1_id=17, output_id=18, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5642010Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSPermute(input1_id=19, output_id=20, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5642300Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSPermute(input1_id=21, output_id=22, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5642650Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSPermute(input1_id=23, output_id=24, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5642940Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSPermute(input1_id=25, output_id=26, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5643240Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSPermute(input1_id=27, output_id=28, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5643530Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSPermute(input1_id=29, output_id=30, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5643820Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSPermute(input1_id=31, output_id=32, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5644190Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSPermute(input1_id=33, output_id=34, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5644490Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSPermute(input1_id=35, output_id=36, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5644840Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSPermute(input1_id=37, output_id=38, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5645140Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSPermute(input1_id=39, output_id=40, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5645430Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSPermute(input1_id=41, output_id=42, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5645730Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSPermute(input1_id=43, output_id=44, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5646010Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSPermute(input1_id=45, output_id=46, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5646300Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSPermute(input1_id=47, output_id=48, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5646590Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSPermute(input1_id=49, output_id=50, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5646880Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSPermute(input1_id=51, output_id=52, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5647200Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [27]: MPSNode(mpsnode_union=MPSPermute(input1_id=53, output_id=54, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5647500Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [28]: MPSNode(mpsnode_union=MPSPermute(input1_id=55, output_id=56, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5647810Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [29]: MPSNode(mpsnode_union=MPSPermute(input1_id=57, output_id=58, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5648120Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [30]: MPSNode(mpsnode_union=MPSPermute(input1_id=59, output_id=60, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5648410Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [31]: MPSNode(mpsnode_union=MPSPermute(input1_id=61, output_id=62, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5648700Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [32]: MPSNode(mpsnode_union=MPSPermute(input1_id=63, output_id=64, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5649050Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [33]: MPSNode(mpsnode_union=MPSPermute(input1_id=65, output_id=66, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5649350Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [34]: MPSNode(mpsnode_union=MPSPermute(input1_id=67, output_id=68, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5649630Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [35]: MPSNode(mpsnode_union=MPSPermute(input1_id=69, output_id=70, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5649920Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [36]: MPSNode(mpsnode_union=MPSPermute(input1_id=71, output_id=72, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5650200Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [37]: MPSNode(mpsnode_union=MPSPermute(input1_id=73, output_id=74, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5650540Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [38]: MPSNode(mpsnode_union=MPSPermute(input1_id=75, output_id=76, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5650830Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [39]: MPSNode(mpsnode_union=MPSPermute(input1_id=77, output_id=78, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5651160Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [40]: MPSNode(mpsnode_union=MPSPermute(input1_id=79, output_id=80, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5651450Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [41]: MPSNode(mpsnode_union=MPSPermute(input1_id=81, output_id=82, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5651740Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [42]: MPSNode(mpsnode_union=MPSPermute(input1_id=83, output_id=84, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5652030Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [43]: MPSNode(mpsnode_union=MPSPermute(input1_id=85, output_id=86, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5652330Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [44]: MPSNode(mpsnode_union=MPSPermute(input1_id=87, output_id=88, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5652620Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [45]: MPSNode(mpsnode_union=MPSPermute(input1_id=89, output_id=90, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5652920Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [46]: MPSNode(mpsnode_union=MPSPermute(input1_id=91, output_id=92, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5653210Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [47]: MPSNode(mpsnode_union=MPSPermute(input1_id=93, output_id=94, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5653500Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [48]: MPSNode(mpsnode_union=MPSPermute(input1_id=95, output_id=96, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5653790Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [49]: MPSNode(mpsnode_union=MPSPermute(input1_id=97, output_id=98, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5654120Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [50]: MPSNode(mpsnode_union=MPSPermute(input1_id=99, output_id=100, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5654430Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [51]: MPSNode(mpsnode_union=MPSPermute(input1_id=101, output_id=102, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5654730Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [52]: MPSNode(mpsnode_union=MPSPermute(input1_id=103, output_id=104, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5655020Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [53]: MPSNode(mpsnode_union=MPSPermute(input1_id=105, output_id=106, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5655330Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [54]: MPSNode(mpsnode_union=MPSPermute(input1_id=107, output_id=108, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5655690Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [55]: MPSNode(mpsnode_union=MPSPermute(input1_id=109, output_id=110, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5656010Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [56]: MPSNode(mpsnode_union=MPSPermute(input1_id=111, output_id=112, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5656330Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [57]: MPSNode(mpsnode_union=MPSPermute(input1_id=113, output_id=114, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5656650Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [58]: MPSNode(mpsnode_union=MPSPermute(input1_id=115, output_id=116, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5657010Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [59]: MPSNode(mpsnode_union=MPSPermute(input1_id=117, output_id=118, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5657320Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [60]: MPSNode(mpsnode_union=MPSPermute(input1_id=119, output_id=120, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5657680Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [61]: MPSNode(mpsnode_union=MPSPermute(input1_id=121, output_id=122, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5657980Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [62]: MPSNode(mpsnode_union=MPSPermute(input1_id=123, output_id=124, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5658280Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [63]: MPSNode(mpsnode_union=MPSPermute(input1_id=125, output_id=126, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5658590Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [64]: MPSNode(mpsnode_union=MPSPermute(input1_id=127, output_id=128, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5658880Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [65]: MPSNode(mpsnode_union=MPSPermute(input1_id=129, output_id=130, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5659190Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [66]: MPSNode(mpsnode_union=MPSPermute(input1_id=131, output_id=132, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5659490Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [67]: MPSNode(mpsnode_union=MPSPermute(input1_id=133, output_id=134, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5659780Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [68]: MPSNode(mpsnode_union=MPSPermute(input1_id=135, output_id=136, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5660080Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [69]: MPSNode(mpsnode_union=MPSPermute(input1_id=137, output_id=138, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5660370Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [70]: MPSNode(mpsnode_union=MPSPermute(input1_id=139, output_id=140, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5660690Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [71]: MPSNode(mpsnode_union=MPSPermute(input1_id=141, output_id=142, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5660990Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [72]: MPSNode(mpsnode_union=MPSPermute(input1_id=143, output_id=144, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5661300Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [73]: MPSNode(mpsnode_union=MPSPermute(input1_id=145, output_id=146, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5661590Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [74]: MPSNode(mpsnode_union=MPSPermute(input1_id=147, output_id=148, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5661890Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [75]: MPSNode(mpsnode_union=MPSPermute(input1_id=149, output_id=150, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5662250Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [76]: MPSNode(mpsnode_union=MPSPermute(input1_id=151, output_id=152, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5662550Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [77]: MPSNode(mpsnode_union=MPSPermute(input1_id=153, output_id=154, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5662840Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [78]: MPSNode(mpsnode_union=MPSPermute(input1_id=155, output_id=156, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5663140Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [79]: MPSNode(mpsnode_union=MPSPermute(input1_id=157, output_id=158, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5663440Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [80]: MPSNode(mpsnode_union=MPSPermute(input1_id=159, output_id=160, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5663780Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [81]: MPSNode(mpsnode_union=MPSPermute(input1_id=161, output_id=162, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5664120Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [82]: MPSNode(mpsnode_union=MPSPermute(input1_id=163, output_id=164, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5664420Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [83]: MPSNode(mpsnode_union=MPSPermute(input1_id=165, output_id=166, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5664710Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [84]: MPSNode(mpsnode_union=MPSPermute(input1_id=167, output_id=168, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5665010Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [85]: MPSNode(mpsnode_union=MPSPermute(input1_id=169, output_id=170, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5665310Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [86]: MPSNode(mpsnode_union=MPSPermute(input1_id=171, output_id=172, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5665600Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [87]: MPSNode(mpsnode_union=MPSPermute(input1_id=173, output_id=174, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5665900Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [88]: MPSNode(mpsnode_union=MPSPermute(input1_id=175, output_id=176, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5666190Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [89]: MPSNode(mpsnode_union=MPSPermute(input1_id=177, output_id=178, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5666490Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [90]: MPSNode(mpsnode_union=MPSPermute(input1_id=179, output_id=180, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5666790Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [91]: MPSNode(mpsnode_union=MPSPermute(input1_id=181, output_id=182, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5667140Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [92]: MPSNode(mpsnode_union=MPSPermute(input1_id=183, output_id=184, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5667440Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [93]: MPSNode(mpsnode_union=MPSPermute(input1_id=185, output_id=186, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5667750Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [94]: MPSNode(mpsnode_union=MPSPermute(input1_id=187, output_id=188, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5668040Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [95]: MPSNode(mpsnode_union=MPSPermute(input1_id=189, output_id=190, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5668350Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [96]: MPSNode(mpsnode_union=MPSPermute(input1_id=191, output_id=192, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5668720Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [97]: MPSNode(mpsnode_union=MPSPermute(input1_id=193, output_id=194, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5669020Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [98]: MPSNode(mpsnode_union=MPSPermute(input1_id=195, output_id=196, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5669320Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [99]: MPSNode(mpsnode_union=MPSPermute(input1_id=197, output_id=198, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5669640Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [100]: MPSNode(mpsnode_union=MPSPermute(input1_id=199, output_id=200, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5669970Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [101]: MPSNode(mpsnode_union=MPSPermute(input1_id=201, output_id=202, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5670360Z [INFO 2025-06-05 19:09:25,561 mps_preprocess.py:288] [102]: MPSNode(mpsnode_union=MPSPermute(input1_id=203, output_id=204, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5670670Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [103]: MPSNode(mpsnode_union=MPSPermute(input1_id=205, output_id=206, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5671030Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [104]: MPSNode(mpsnode_union=MPSPermute(input1_id=207, output_id=208, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5671340Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [105]: MPSNode(mpsnode_union=MPSPermute(input1_id=209, output_id=210, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5671650Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [106]: MPSNode(mpsnode_union=MPSPermute(input1_id=211, output_id=212, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5671950Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [107]: MPSNode(mpsnode_union=MPSPermute(input1_id=213, output_id=214, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5672240Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [108]: MPSNode(mpsnode_union=MPSPermute(input1_id=215, output_id=216, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5672550Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [109]: MPSNode(mpsnode_union=MPSPermute(input1_id=217, output_id=218, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5672850Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [110]: MPSNode(mpsnode_union=MPSPermute(input1_id=219, output_id=220, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5673140Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [111]: MPSNode(mpsnode_union=MPSPermute(input1_id=221, output_id=222, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5673440Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [112]: MPSNode(mpsnode_union=MPSPermute(input1_id=223, output_id=224, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5673740Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [113]: MPSNode(mpsnode_union=MPSPermute(input1_id=225, output_id=226, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5674060Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [114]: MPSNode(mpsnode_union=MPSPermute(input1_id=227, output_id=228, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5674370Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [115]: MPSNode(mpsnode_union=MPSPermute(input1_id=229, output_id=230, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5674670Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [116]: MPSNode(mpsnode_union=MPSPermute(input1_id=231, output_id=232, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5675030Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [117]: MPSNode(mpsnode_union=MPSPermute(input1_id=233, output_id=234, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5675400Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [118]: MPSNode(mpsnode_union=MPSPermute(input1_id=235, output_id=236, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5675700Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [119]: MPSNode(mpsnode_union=MPSPermute(input1_id=237, output_id=238, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5676000Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [120]: MPSNode(mpsnode_union=MPSPermute(input1_id=239, output_id=240, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5676300Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [121]: MPSNode(mpsnode_union=MPSPermute(input1_id=241, output_id=242, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5676600Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [122]: MPSNode(mpsnode_union=MPSPermute(input1_id=243, output_id=244, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5676960Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [123]: MPSNode(mpsnode_union=MPSPermute(input1_id=245, output_id=246, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5677260Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [124]: MPSNode(mpsnode_union=MPSPermute(input1_id=247, output_id=248, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5677610Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [125]: MPSNode(mpsnode_union=MPSPermute(input1_id=249, output_id=250, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5677900Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [126]: MPSNode(mpsnode_union=MPSPermute(input1_id=251, output_id=252, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5678200Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [127]: MPSNode(mpsnode_union=MPSPermute(input1_id=253, output_id=254, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5678500Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [128]: MPSNode(mpsnode_union=MPSPermute(input1_id=255, output_id=256, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5678800Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [129]: MPSNode(mpsnode_union=MPSPermute(input1_id=257, output_id=258, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5679100Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [130]: MPSNode(mpsnode_union=MPSPermute(input1_id=259, output_id=260, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5679400Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [131]: MPSNode(mpsnode_union=MPSPermute(input1_id=261, output_id=262, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5679710Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [132]: MPSNode(mpsnode_union=MPSPermute(input1_id=263, output_id=264, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5680010Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [133]: MPSNode(mpsnode_union=MPSPermute(input1_id=265, output_id=266, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5680310Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [134]: MPSNode(mpsnode_union=MPSPermute(input1_id=267, output_id=268, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5680640Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [135]: MPSNode(mpsnode_union=MPSPermute(input1_id=269, output_id=270, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5680940Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [136]: MPSNode(mpsnode_union=MPSPermute(input1_id=271, output_id=272, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5681240Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [137]: MPSNode(mpsnode_union=MPSPermute(input1_id=273, output_id=274, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5681550Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [138]: MPSNode(mpsnode_union=MPSPermute(input1_id=275, output_id=276, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5681910Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [139]: MPSNode(mpsnode_union=MPSPermute(input1_id=277, output_id=278, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5682220Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [140]: MPSNode(mpsnode_union=MPSPermute(input1_id=279, output_id=280, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5682510Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [141]: MPSNode(mpsnode_union=MPSPermute(input1_id=281, output_id=282, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5682830Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [142]: MPSNode(mpsnode_union=MPSPermute(input1_id=283, output_id=284, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5683120Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [143]: MPSNode(mpsnode_union=MPSPermute(input1_id=285, output_id=286, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5683890Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [144]: MPSNode(mpsnode_union=MPSPermute(input1_id=287, output_id=288, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5684550Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [145]: MPSNode(mpsnode_union=MPSPermute(input1_id=289, output_id=290, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5685290Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [146]: MPSNode(mpsnode_union=MPSPermute(input1_id=291, output_id=292, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5685950Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [147]: MPSNode(mpsnode_union=MPSPermute(input1_id=293, output_id=294, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5686600Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [148]: MPSNode(mpsnode_union=MPSPermute(input1_id=295, output_id=296, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5687270Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [149]: MPSNode(mpsnode_union=MPSPermute(input1_id=297, output_id=298, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5687930Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [150]: MPSNode(mpsnode_union=MPSPermute(input1_id=299, output_id=300, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5696010Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [151]: MPSNode(mpsnode_union=MPSPermute(input1_id=301, output_id=302, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5696670Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [152]: MPSNode(mpsnode_union=MPSPermute(input1_id=303, output_id=304, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5697370Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [153]: MPSNode(mpsnode_union=MPSPermute(input1_id=305, output_id=306, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5698020Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [154]: MPSNode(mpsnode_union=MPSPermute(input1_id=307, output_id=308, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5698670Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [155]: MPSNode(mpsnode_union=MPSPermute(input1_id=309, output_id=310, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5699350Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [156]: MPSNode(mpsnode_union=MPSPermute(input1_id=311, output_id=312, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5700000Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [157]: MPSNode(mpsnode_union=MPSPermute(input1_id=313, output_id=314, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5700660Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [158]: MPSNode(mpsnode_union=MPSPermute(input1_id=315, output_id=316, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5701320Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [159]: MPSNode(mpsnode_union=MPSPermute(input1_id=317, output_id=318, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5702070Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [160]: MPSNode(mpsnode_union=MPSPermute(input1_id=319, output_id=320, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5702730Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [161]: MPSNode(mpsnode_union=MPSPermute(input1_id=321, output_id=322, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5703400Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [162]: MPSNode(mpsnode_union=MPSPermute(input1_id=323, output_id=324, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5704080Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [163]: MPSNode(mpsnode_union=MPSPermute(input1_id=325, output_id=326, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5704770Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [164]: MPSNode(mpsnode_union=MPSPermute(input1_id=327, output_id=328, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5705500Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [165]: MPSNode(mpsnode_union=MPSPermute(input1_id=329, output_id=330, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5706170Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [166]: MPSNode(mpsnode_union=MPSPermute(input1_id=331, output_id=332, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5706910Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [167]: MPSNode(mpsnode_union=MPSPermute(input1_id=333, output_id=334, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5707590Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [168]: MPSNode(mpsnode_union=MPSPermute(input1_id=335, output_id=336, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5708250Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [169]: MPSNode(mpsnode_union=MPSPermute(input1_id=337, output_id=338, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5708910Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [170]: MPSNode(mpsnode_union=MPSPermute(input1_id=339, output_id=340, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5709580Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [171]: MPSNode(mpsnode_union=MPSPermute(input1_id=341, output_id=342, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5710250Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [172]: MPSNode(mpsnode_union=MPSPermute(input1_id=343, output_id=344, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5710910Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [173]: MPSNode(mpsnode_union=MPSPermute(input1_id=345, output_id=346, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5711580Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [174]: MPSNode(mpsnode_union=MPSPermute(input1_id=347, output_id=348, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5712270Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [175]: MPSNode(mpsnode_union=MPSPermute(input1_id=349, output_id=350, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5712950Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [176]: MPSNode(mpsnode_union=MPSPermute(input1_id=351, output_id=352, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5713640Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [177]: MPSNode(mpsnode_union=MPSPermute(input1_id=353, output_id=354, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5714320Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [178]: MPSNode(mpsnode_union=MPSPermute(input1_id=355, output_id=356, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5715000Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [179]: MPSNode(mpsnode_union=MPSPermute(input1_id=357, output_id=358, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5715680Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [180]: MPSNode(mpsnode_union=MPSPermute(input1_id=359, output_id=360, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5716420Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [181]: MPSNode(mpsnode_union=MPSPermute(input1_id=361, output_id=362, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5717100Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [182]: MPSNode(mpsnode_union=MPSPermute(input1_id=363, output_id=364, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5717770Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [183]: MPSNode(mpsnode_union=MPSPermute(input1_id=365, output_id=366, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5718490Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [184]: MPSNode(mpsnode_union=MPSPermute(input1_id=367, output_id=368, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5719180Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [185]: MPSNode(mpsnode_union=MPSPermute(input1_id=369, output_id=370, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5719950Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [186]: MPSNode(mpsnode_union=MPSPermute(input1_id=371, output_id=372, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5720620Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [187]: MPSNode(mpsnode_union=MPSPermute(input1_id=373, output_id=374, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5721370Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [188]: MPSNode(mpsnode_union=MPSPermute(input1_id=375, output_id=376, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5722040Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [189]: MPSNode(mpsnode_union=MPSPermute(input1_id=377, output_id=378, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5722720Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [190]: MPSNode(mpsnode_union=MPSPermute(input1_id=379, output_id=380, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5723400Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [191]: MPSNode(mpsnode_union=MPSPermute(input1_id=381, output_id=382, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5724060Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [192]: MPSNode(mpsnode_union=MPSPermute(input1_id=383, output_id=384, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5724740Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [193]: MPSNode(mpsnode_union=MPSPermute(input1_id=385, output_id=386, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5725400Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [194]: MPSNode(mpsnode_union=MPSPermute(input1_id=387, output_id=388, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5726060Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [195]: MPSNode(mpsnode_union=MPSPermute(input1_id=389, output_id=390, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5726720Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [196]: MPSNode(mpsnode_union=MPSPermute(input1_id=391, output_id=392, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5727390Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [197]: MPSNode(mpsnode_union=MPSPermute(input1_id=393, output_id=394, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5728080Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [198]: MPSNode(mpsnode_union=MPSPermute(input1_id=395, output_id=396, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5728750Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [199]: MPSNode(mpsnode_union=MPSPermute(input1_id=397, output_id=398, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5729430Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [200]: MPSNode(mpsnode_union=MPSPermute(input1_id=399, output_id=400, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5730090Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [201]: MPSNode(mpsnode_union=MPSPermute(input1_id=401, output_id=402, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5730830Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [202]: MPSNode(mpsnode_union=MPSPermute(input1_id=403, output_id=404, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5731510Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [203]: MPSNode(mpsnode_union=MPSPermute(input1_id=405, output_id=406, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5732190Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [204]: MPSNode(mpsnode_union=MPSPermute(input1_id=407, output_id=408, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5732870Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [205]: MPSNode(mpsnode_union=MPSPermute(input1_id=409, output_id=410, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5733550Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [206]: MPSNode(mpsnode_union=MPSPermute(input1_id=411, output_id=412, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5734280Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [207]: MPSNode(mpsnode_union=MPSPermute(input1_id=413, output_id=414, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5734940Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [208]: MPSNode(mpsnode_union=MPSPermute(input1_id=415, output_id=416, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5735640Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [209]: MPSNode(mpsnode_union=MPSPermute(input1_id=417, output_id=418, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5736290Z [INFO 2025-06-05 19:09:25,562 mps_preprocess.py:288] [210]: MPSNode(mpsnode_union=MPSPermute(input1_id=419, output_id=420, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5736960Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [211]: MPSNode(mpsnode_union=MPSPermute(input1_id=421, output_id=422, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5737630Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [212]: MPSNode(mpsnode_union=MPSPermute(input1_id=423, output_id=424, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5738300Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [213]: MPSNode(mpsnode_union=MPSPermute(input1_id=425, output_id=426, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5738970Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [214]: MPSNode(mpsnode_union=MPSPermute(input1_id=427, output_id=428, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5739630Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [215]: MPSNode(mpsnode_union=MPSPermute(input1_id=429, output_id=430, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5740290Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [216]: MPSNode(mpsnode_union=MPSPermute(input1_id=431, output_id=432, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5740950Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [217]: MPSNode(mpsnode_union=MPSPermute(input1_id=433, output_id=434, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5741630Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [218]: MPSNode(mpsnode_union=MPSPermute(input1_id=435, output_id=436, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5742340Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [219]: MPSNode(mpsnode_union=MPSPermute(input1_id=437, output_id=438, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5743000Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [220]: MPSNode(mpsnode_union=MPSPermute(input1_id=439, output_id=440, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5743670Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [221]: MPSNode(mpsnode_union=MPSPermute(input1_id=441, output_id=442, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5744360Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [222]: MPSNode(mpsnode_union=MPSPermute(input1_id=443, output_id=444, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5745080Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [223]: MPSNode(mpsnode_union=MPSPermute(input1_id=445, output_id=446, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5745750Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [224]: MPSNode(mpsnode_union=MPSPermute(input1_id=447, output_id=448, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5746410Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [225]: MPSNode(mpsnode_union=MPSPermute(input1_id=449, output_id=450, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5747080Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [226]: MPSNode(mpsnode_union=MPSPermute(input1_id=451, output_id=452, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5747760Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [227]: MPSNode(mpsnode_union=MPSPermute(input1_id=453, output_id=454, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5748480Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [228]: MPSNode(mpsnode_union=MPSPermute(input1_id=455, output_id=456, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5749160Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [229]: MPSNode(mpsnode_union=MPSPermute(input1_id=457, output_id=458, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5749880Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [230]: MPSNode(mpsnode_union=MPSPermute(input1_id=459, output_id=460, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5750560Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [231]: MPSNode(mpsnode_union=MPSPermute(input1_id=461, output_id=462, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5751240Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [232]: MPSNode(mpsnode_union=MPSPermute(input1_id=463, output_id=464, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5751900Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [233]: MPSNode(mpsnode_union=MPSPermute(input1_id=465, output_id=466, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5752560Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [234]: MPSNode(mpsnode_union=MPSPermute(input1_id=467, output_id=468, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5753270Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [235]: MPSNode(mpsnode_union=MPSPermute(input1_id=469, output_id=470, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5753960Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [236]: MPSNode(mpsnode_union=MPSPermute(input1_id=471, output_id=472, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5754660Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [237]: MPSNode(mpsnode_union=MPSPermute(input1_id=473, output_id=474, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5755330Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [238]: MPSNode(mpsnode_union=MPSPermute(input1_id=475, output_id=476, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5756000Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [239]: MPSNode(mpsnode_union=MPSPermute(input1_id=477, output_id=478, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5756690Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [240]: MPSNode(mpsnode_union=MPSPermute(input1_id=479, output_id=480, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5757360Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [241]: MPSNode(mpsnode_union=MPSPermute(input1_id=481, output_id=482, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5758010Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [242]: MPSNode(mpsnode_union=MPSPermute(input1_id=483, output_id=484, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5758670Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [243]: MPSNode(mpsnode_union=MPSPermute(input1_id=485, output_id=486, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5759400Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [244]: MPSNode(mpsnode_union=MPSPermute(input1_id=487, output_id=488, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5760060Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [245]: MPSNode(mpsnode_union=MPSPermute(input1_id=489, output_id=490, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5760730Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [246]: MPSNode(mpsnode_union=MPSPermute(input1_id=491, output_id=492, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5761390Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [247]: MPSNode(mpsnode_union=MPSPermute(input1_id=493, output_id=494, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5762050Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [248]: MPSNode(mpsnode_union=MPSPermute(input1_id=495, output_id=496, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5762770Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [249]: MPSNode(mpsnode_union=MPSPermute(input1_id=497, output_id=498, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5763450Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [250]: MPSNode(mpsnode_union=MPSPermute(input1_id=499, output_id=500, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5764170Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [251]: MPSNode(mpsnode_union=MPSPermute(input1_id=501, output_id=502, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5764820Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [252]: MPSNode(mpsnode_union=MPSPermute(input1_id=503, output_id=504, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5765490Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [253]: MPSNode(mpsnode_union=MPSPermute(input1_id=505, output_id=506, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5766150Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [254]: MPSNode(mpsnode_union=MPSPermute(input1_id=507, output_id=508, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5766810Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [255]: MPSNode(mpsnode_union=MPSPermute(input1_id=509, output_id=510, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5767460Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [256]: MPSNode(mpsnode_union=MPSPermute(input1_id=511, output_id=512, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5768140Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [257]: MPSNode(mpsnode_union=MPSPermute(input1_id=513, output_id=514, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5768800Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [258]: MPSNode(mpsnode_union=MPSPermute(input1_id=515, output_id=516, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5769460Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [259]: MPSNode(mpsnode_union=MPSPermute(input1_id=517, output_id=518, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5770110Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [260]: MPSNode(mpsnode_union=MPSPermute(input1_id=519, output_id=520, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5770820Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [261]: MPSNode(mpsnode_union=MPSPermute(input1_id=521, output_id=522, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5771480Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [262]: MPSNode(mpsnode_union=MPSPermute(input1_id=523, output_id=524, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5772150Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [263]: MPSNode(mpsnode_union=MPSPermute(input1_id=525, output_id=526, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5772820Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [264]: MPSNode(mpsnode_union=MPSPermute(input1_id=527, output_id=528, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5773540Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [265]: MPSNode(mpsnode_union=MPSPermute(input1_id=529, output_id=530, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5774210Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [266]: MPSNode(mpsnode_union=MPSPermute(input1_id=531, output_id=532, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5774870Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [267]: MPSNode(mpsnode_union=MPSPermute(input1_id=533, output_id=534, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5775540Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [268]: MPSNode(mpsnode_union=MPSPermute(input1_id=535, output_id=536, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5776210Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [269]: MPSNode(mpsnode_union=MPSPermute(input1_id=537, output_id=538, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5776950Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [270]: MPSNode(mpsnode_union=MPSPermute(input1_id=539, output_id=540, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5777640Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [271]: MPSNode(mpsnode_union=MPSPermute(input1_id=541, output_id=542, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5778380Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [272]: MPSNode(mpsnode_union=MPSPermute(input1_id=543, output_id=544, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5779050Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [273]: MPSNode(mpsnode_union=MPSPermute(input1_id=545, output_id=546, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5779720Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [274]: MPSNode(mpsnode_union=MPSPermute(input1_id=547, output_id=548, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5780400Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [275]: MPSNode(mpsnode_union=MPSPermute(input1_id=549, output_id=550, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5781070Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [276]: MPSNode(mpsnode_union=MPSPermute(input1_id=551, output_id=552, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5781730Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [277]: MPSNode(mpsnode_union=MPSPermute(input1_id=553, output_id=554, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5782420Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [278]: MPSNode(mpsnode_union=MPSPermute(input1_id=555, output_id=556, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5783070Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [279]: MPSNode(mpsnode_union=MPSPermute(input1_id=557, output_id=558, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5783740Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [280]: MPSNode(mpsnode_union=MPSPermute(input1_id=559, output_id=560, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5784410Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [281]: MPSNode(mpsnode_union=MPSPermute(input1_id=561, output_id=562, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5785100Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [282]: MPSNode(mpsnode_union=MPSPermute(input1_id=563, output_id=564, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5785770Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [283]: MPSNode(mpsnode_union=MPSPermute(input1_id=565, output_id=566, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5786440Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [284]: MPSNode(mpsnode_union=MPSPermute(input1_id=567, output_id=568, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5787100Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [285]: MPSNode(mpsnode_union=MPSPermute(input1_id=569, output_id=570, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5787820Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [286]: MPSNode(mpsnode_union=MPSPermute(input1_id=571, output_id=572, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5788480Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [287]: MPSNode(mpsnode_union=MPSPermute(input1_id=573, output_id=574, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5789140Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [288]: MPSNode(mpsnode_union=MPSPermute(input1_id=575, output_id=576, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5789800Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [289]: MPSNode(mpsnode_union=MPSPermute(input1_id=577, output_id=578, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5790450Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [290]: MPSNode(mpsnode_union=MPSPermute(input1_id=579, output_id=580, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5791170Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [291]: MPSNode(mpsnode_union=MPSPermute(input1_id=581, output_id=582, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5791850Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [292]: MPSNode(mpsnode_union=MPSPermute(input1_id=583, output_id=584, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5792560Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [293]: MPSNode(mpsnode_union=MPSPermute(input1_id=585, output_id=586, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5793230Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [294]: MPSNode(mpsnode_union=MPSPermute(input1_id=587, output_id=588, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5793880Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [295]: MPSNode(mpsnode_union=MPSPermute(input1_id=589, output_id=590, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5794540Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [296]: MPSNode(mpsnode_union=MPSPermute(input1_id=591, output_id=592, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5795210Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [297]: MPSNode(mpsnode_union=MPSPermute(input1_id=593, output_id=594, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5795870Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [298]: MPSNode(mpsnode_union=MPSPermute(input1_id=595, output_id=596, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5796550Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [299]: MPSNode(mpsnode_union=MPSPermute(input1_id=597, output_id=598, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5797200Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [300]: MPSNode(mpsnode_union=MPSPermute(input1_id=599, output_id=600, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5797860Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [301]: MPSNode(mpsnode_union=MPSPermute(input1_id=601, output_id=602, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5798530Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [302]: MPSNode(mpsnode_union=MPSPermute(input1_id=603, output_id=604, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5799220Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [303]: MPSNode(mpsnode_union=MPSPermute(input1_id=605, output_id=606, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5799880Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [304]: MPSNode(mpsnode_union=MPSPermute(input1_id=607, output_id=608, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5800540Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [305]: MPSNode(mpsnode_union=MPSPermute(input1_id=609, output_id=610, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5801190Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [306]: MPSNode(mpsnode_union=MPSPermute(input1_id=611, output_id=612, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5801900Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [307]: MPSNode(mpsnode_union=MPSPermute(input1_id=613, output_id=614, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5802570Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [308]: MPSNode(mpsnode_union=MPSPermute(input1_id=615, output_id=616, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5803230Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [309]: MPSNode(mpsnode_union=MPSPermute(input1_id=617, output_id=618, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5803900Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [310]: MPSNode(mpsnode_union=MPSPermute(input1_id=619, output_id=620, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5804570Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [311]: MPSNode(mpsnode_union=MPSPermute(input1_id=621, output_id=622, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5805290Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [312]: MPSNode(mpsnode_union=MPSPermute(input1_id=623, output_id=624, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5805960Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [313]: MPSNode(mpsnode_union=MPSPermute(input1_id=625, output_id=626, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5806700Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [314]: MPSNode(mpsnode_union=MPSPermute(input1_id=627, output_id=628, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5807360Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [315]: MPSNode(mpsnode_union=MPSPermute(input1_id=629, output_id=630, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5808030Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [316]: MPSNode(mpsnode_union=MPSPermute(input1_id=631, output_id=632, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5808700Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [317]: MPSNode(mpsnode_union=MPSPermute(input1_id=633, output_id=634, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5809370Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [318]: MPSNode(mpsnode_union=MPSPermute(input1_id=635, output_id=636, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5810040Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [319]: MPSNode(mpsnode_union=MPSPermute(input1_id=637, output_id=638, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5810700Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [320]: MPSNode(mpsnode_union=MPSPermute(input1_id=639, output_id=640, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5811360Z [INFO 2025-06-05 19:09:25,563 mps_preprocess.py:288] [321]: MPSNode(mpsnode_union=MPSPermute(input1_id=641, output_id=642, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5812020Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [322]: MPSNode(mpsnode_union=MPSPermute(input1_id=643, output_id=644, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5812670Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [323]: MPSNode(mpsnode_union=MPSPermute(input1_id=645, output_id=646, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5813360Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [324]: MPSNode(mpsnode_union=MPSPermute(input1_id=647, output_id=648, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5814020Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [325]: MPSNode(mpsnode_union=MPSPermute(input1_id=649, output_id=650, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5814680Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [326]: MPSNode(mpsnode_union=MPSPermute(input1_id=651, output_id=652, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5815340Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [327]: MPSNode(mpsnode_union=MPSPermute(input1_id=653, output_id=654, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5816090Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [328]: MPSNode(mpsnode_union=MPSPermute(input1_id=655, output_id=656, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5816750Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [329]: MPSNode(mpsnode_union=MPSPermute(input1_id=657, output_id=658, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5817410Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [330]: MPSNode(mpsnode_union=MPSPermute(input1_id=659, output_id=660, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5818060Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [331]: MPSNode(mpsnode_union=MPSPermute(input1_id=661, output_id=662, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5818730Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [332]: MPSNode(mpsnode_union=MPSPermute(input1_id=663, output_id=664, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5819450Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [333]: MPSNode(mpsnode_union=MPSPermute(input1_id=665, output_id=666, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5820110Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [334]: MPSNode(mpsnode_union=MPSPermute(input1_id=667, output_id=668, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5820830Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [335]: MPSNode(mpsnode_union=MPSPermute(input1_id=669, output_id=670, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5821620Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [336]: MPSNode(mpsnode_union=MPSPermute(input1_id=671, output_id=672, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5822290Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [337]: MPSNode(mpsnode_union=MPSPermute(input1_id=673, output_id=674, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5822980Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [338]: MPSNode(mpsnode_union=MPSPermute(input1_id=675, output_id=676, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5823640Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [339]: MPSNode(mpsnode_union=MPSPermute(input1_id=677, output_id=678, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5824310Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [340]: MPSNode(mpsnode_union=MPSPermute(input1_id=679, output_id=680, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5824980Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [341]: MPSNode(mpsnode_union=MPSPermute(input1_id=681, output_id=682, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5825670Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [342]: MPSNode(mpsnode_union=MPSPermute(input1_id=683, output_id=684, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5826320Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [343]: MPSNode(mpsnode_union=MPSPermute(input1_id=685, output_id=686, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5826990Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [344]: MPSNode(mpsnode_union=MPSPermute(input1_id=687, output_id=688, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5827730Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [345]: MPSNode(mpsnode_union=MPSPermute(input1_id=689, output_id=690, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5828410Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [346]: MPSNode(mpsnode_union=MPSPermute(input1_id=691, output_id=692, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5829060Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [347]: MPSNode(mpsnode_union=MPSPermute(input1_id=693, output_id=694, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5829740Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [348]: MPSNode(mpsnode_union=MPSPermute(input1_id=695, output_id=696, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5830500Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [349]: MPSNode(mpsnode_union=MPSPermute(input1_id=697, output_id=698, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5831170Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [350]: MPSNode(mpsnode_union=MPSPermute(input1_id=699, output_id=700, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5831830Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [351]: MPSNode(mpsnode_union=MPSPermute(input1_id=701, output_id=702, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5832480Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [352]: MPSNode(mpsnode_union=MPSPermute(input1_id=703, output_id=704, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5833140Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [353]: MPSNode(mpsnode_union=MPSPermute(input1_id=705, output_id=706, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5833880Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [354]: MPSNode(mpsnode_union=MPSPermute(input1_id=707, output_id=708, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5834550Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [355]: MPSNode(mpsnode_union=MPSPermute(input1_id=709, output_id=710, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5835290Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [356]: MPSNode(mpsnode_union=MPSPermute(input1_id=711, output_id=712, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5835960Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [357]: MPSNode(mpsnode_union=MPSPermute(input1_id=713, output_id=714, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5836620Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [358]: MPSNode(mpsnode_union=MPSPermute(input1_id=715, output_id=716, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5837280Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [359]: MPSNode(mpsnode_union=MPSPermute(input1_id=717, output_id=718, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5837960Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [360]: MPSNode(mpsnode_union=MPSPermute(input1_id=719, output_id=720, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5838630Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [361]: MPSNode(mpsnode_union=MPSPermute(input1_id=721, output_id=722, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5839310Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [362]: MPSNode(mpsnode_union=MPSPermute(input1_id=723, output_id=724, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5839980Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [363]: MPSNode(mpsnode_union=MPSPermute(input1_id=725, output_id=726, num_dims=2, perm=[1, 0]), min_max=None) 2025-06-05T19:09:25.5840660Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [364]: MPSNode(mpsnode_union=MPSSlice(input1_id=727, output_id=728, dim=1, start=0, end=8, step=1), min_max=None) 2025-06-05T19:09:25.5841300Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [365]: MPSNode(mpsnode_union=MPSUnsqueeze(input1_id=1, output_id=729, dim=1), min_max=None) 2025-06-05T19:09:25.5842060Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [366]: MPSNode(mpsnode_union=MPSEmbedding(input1_id=730, input2_id=2, output_id=731, padding_idx=-1, scale_grad_by_freq=False, sparse=False), min_max=None) 2025-06-05T19:09:25.5842830Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [367]: MPSNode(mpsnode_union=MPSSlice(input1_id=4, output_id=732, dim=1, start=1, end=8, step=1), min_max=None) 2025-06-05T19:09:25.5843510Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [368]: MPSNode(mpsnode_union=MPSSlice(input1_id=4, output_id=733, dim=1, start=0, end=7, step=1), min_max=None) 2025-06-05T19:09:25.5844280Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [369]: MPSNode(mpsnode_union=MPSEmbedding(input1_id=734, input2_id=728, output_id=735, padding_idx=-1, scale_grad_by_freq=False, sparse=False), min_max=None) 2025-06-05T19:09:25.5845100Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [370]: MPSNode(mpsnode_union=MPSUnsqueeze(input1_id=729, output_id=736, dim=2), min_max=None) 2025-06-05T19:09:25.5845790Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [371]: MPSNode(mpsnode_union=MPSConstantPadND(input1_id=732, output_id=737, pad=[0, 0, 0, 1, 0, 0], value=0.0), min_max=None) 2025-06-05T19:09:25.5846520Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [372]: MPSNode(mpsnode_union=MPSConstantPadND(input1_id=733, output_id=738, pad=[0, 0, 1, 0, 0, 0], value=0.0), min_max=None) 2025-06-05T19:09:25.5847240Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [373]: MPSNode(mpsnode_union=MPSSub(input1_id=739, input2_id=736, output_id=740, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5847950Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [374]: MPSNode(mpsnode_union=MPSCat(input_ids=[737, 4, 738], output_id=741, dim=2), min_max=None) 2025-06-05T19:09:25.5848560Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [375]: MPSNode(mpsnode_union=MPSMul(input1_id=740, input2_id=742, output_id=743), min_max=None) 2025-06-05T19:09:25.5849260Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [376]: MPSNode(mpsnode_union=MPSView(input1_id=741, output_id=744, num_dims=2, shape=[8, 384]), min_max=None) 2025-06-05T19:09:25.5849990Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [377]: MPSNode(mpsnode_union=MPSAddmm(input1_id=745, input2_id=744, input3_id=6, output_id=746, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5850710Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [378]: MPSNode(mpsnode_union=MPSView(input1_id=746, output_id=747, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5851380Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [379]: MPSNode(mpsnode_union=MPSAdd(input1_id=747, input2_id=735, output_id=748, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5852040Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [380]: MPSNode(mpsnode_union=MPSAdd(input1_id=748, input2_id=731, output_id=749, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5852680Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [381]: MPSNode(mpsnode_union=MPSMul(input1_id=749, input2_id=750, output_id=751), min_max=None) 2025-06-05T19:09:25.5853320Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [382]: MPSNode(mpsnode_union=MPSAdd(input1_id=751, input2_id=752, output_id=753, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5853970Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [383]: MPSNode(mpsnode_union=MPSView(input1_id=753, output_id=754, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5854650Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [384]: MPSNode(mpsnode_union=MPSView(input1_id=753, output_id=755, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5855330Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [385]: MPSNode(mpsnode_union=MPSView(input1_id=753, output_id=756, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5856070Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [386]: MPSNode(mpsnode_union=MPSAddmm(input1_id=757, input2_id=754, input3_id=20, output_id=758, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5856850Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [387]: MPSNode(mpsnode_union=MPSAddmm(input1_id=759, input2_id=755, input3_id=22, output_id=760, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5857610Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [388]: MPSNode(mpsnode_union=MPSAddmm(input1_id=761, input2_id=756, input3_id=14, output_id=762, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5858340Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [389]: MPSNode(mpsnode_union=MPSView(input1_id=758, output_id=763, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5859070Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [390]: MPSNode(mpsnode_union=MPSView(input1_id=760, output_id=764, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5859740Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [391]: MPSNode(mpsnode_union=MPSView(input1_id=762, output_id=765, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5860380Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [392]: MPSNode(mpsnode_union=MPSMul(input1_id=763, input2_id=766, output_id=767), min_max=None) 2025-06-05T19:09:25.5860990Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [393]: MPSNode(mpsnode_union=MPSMul(input1_id=764, input2_id=768, output_id=769), min_max=None) 2025-06-05T19:09:25.5861630Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [394]: MPSNode(mpsnode_union=MPSView(input1_id=765, output_id=770, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5862350Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [395]: MPSNode(mpsnode_union=MPSAdd(input1_id=767, input2_id=771, output_id=772, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5863010Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [396]: MPSNode(mpsnode_union=MPSAdd(input1_id=769, input2_id=773, output_id=774, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5872690Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [397]: MPSNode(mpsnode_union=MPSPermute(input1_id=770, output_id=775, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5873390Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [398]: MPSNode(mpsnode_union=MPSView(input1_id=774, output_id=776, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5874050Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [399]: MPSNode(mpsnode_union=MPSView(input1_id=774, output_id=777, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5874730Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [400]: MPSNode(mpsnode_union=MPSExpand(input1_id=775, output_id=778, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5875450Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [401]: MPSNode(mpsnode_union=MPSAddmm(input1_id=779, input2_id=776, input3_id=10, output_id=780, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5876210Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [402]: MPSNode(mpsnode_union=MPSAddmm(input1_id=781, input2_id=777, input3_id=12, output_id=782, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5876940Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [403]: MPSNode(mpsnode_union=MPSView(input1_id=778, output_id=783, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5877620Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [404]: MPSNode(mpsnode_union=MPSView(input1_id=780, output_id=784, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5878320Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [405]: MPSNode(mpsnode_union=MPSView(input1_id=782, output_id=785, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5879000Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [406]: MPSNode(mpsnode_union=MPSView(input1_id=784, output_id=786, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5879760Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [407]: MPSNode(mpsnode_union=MPSView(input1_id=785, output_id=787, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5880460Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [408]: MPSNode(mpsnode_union=MPSPermute(input1_id=786, output_id=788, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5881150Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [409]: MPSNode(mpsnode_union=MPSPermute(input1_id=787, output_id=789, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5881830Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [410]: MPSNode(mpsnode_union=MPSExpand(input1_id=788, output_id=790, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5882650Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [411]: MPSNode(mpsnode_union=MPSPermute(input1_id=789, output_id=791, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.5883320Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [412]: MPSNode(mpsnode_union=MPSView(input1_id=790, output_id=792, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5884000Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [413]: MPSNode(mpsnode_union=MPSExpand(input1_id=791, output_id=793, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.5884660Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [414]: MPSNode(mpsnode_union=MPSView(input1_id=793, output_id=794, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.5885300Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [415]: MPSNode(mpsnode_union=MPSMatMul(input1_id=792, input2_id=794, output_id=795), min_max=None) 2025-06-05T19:09:25.5886020Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [416]: MPSNode(mpsnode_union=MPSView(input1_id=795, output_id=796, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5886770Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [417]: MPSNode(mpsnode_union=MPSDiv(input1_id=796, input2_id=797, output_id=798, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.5887430Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [418]: MPSNode(mpsnode_union=MPSAdd(input1_id=798, input2_id=743, output_id=799, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5888090Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [419]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=799, output_id=800, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.5888780Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [420]: MPSNode(mpsnode_union=MPSExpand(input1_id=800, output_id=801, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5889450Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [421]: MPSNode(mpsnode_union=MPSView(input1_id=801, output_id=802, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5890090Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [422]: MPSNode(mpsnode_union=MPSMatMul(input1_id=802, input2_id=783, output_id=803), min_max=None) 2025-06-05T19:09:25.5890750Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [423]: MPSNode(mpsnode_union=MPSView(input1_id=803, output_id=804, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5891430Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [424]: MPSNode(mpsnode_union=MPSPermute(input1_id=804, output_id=805, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5892100Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [425]: MPSNode(mpsnode_union=MPSView(input1_id=805, output_id=806, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5892750Z [INFO 2025-06-05 19:09:25,564 mps_preprocess.py:288] [426]: MPSNode(mpsnode_union=MPSView(input1_id=806, output_id=807, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5893520Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [427]: MPSNode(mpsnode_union=MPSAddmm(input1_id=808, input2_id=807, input3_id=8, output_id=809, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5894250Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [428]: MPSNode(mpsnode_union=MPSView(input1_id=809, output_id=810, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5894910Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [429]: MPSNode(mpsnode_union=MPSAdd(input1_id=810, input2_id=772, output_id=811, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5895530Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [430]: MPSNode(mpsnode_union=MPSMul(input1_id=811, input2_id=812, output_id=813), min_max=None) 2025-06-05T19:09:25.5896160Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [431]: MPSNode(mpsnode_union=MPSAdd(input1_id=813, input2_id=814, output_id=815, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5896890Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [432]: MPSNode(mpsnode_union=MPSView(input1_id=815, output_id=816, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5897590Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [433]: MPSNode(mpsnode_union=MPSAddmm(input1_id=817, input2_id=816, input3_id=26, output_id=818, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5898300Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [434]: MPSNode(mpsnode_union=MPSView(input1_id=818, output_id=819, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5898920Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [435]: MPSNode(mpsnode_union=MPSReLU(input1_id=819, output_id=820), min_max=None) 2025-06-05T19:09:25.5899600Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [436]: MPSNode(mpsnode_union=MPSView(input1_id=820, output_id=821, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5900310Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [437]: MPSNode(mpsnode_union=MPSAddmm(input1_id=822, input2_id=821, input3_id=24, output_id=823, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5901100Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [438]: MPSNode(mpsnode_union=MPSView(input1_id=823, output_id=824, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5901760Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [439]: MPSNode(mpsnode_union=MPSAdd(input1_id=824, input2_id=815, output_id=825, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5902400Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [440]: MPSNode(mpsnode_union=MPSMul(input1_id=825, input2_id=826, output_id=827), min_max=None) 2025-06-05T19:09:25.5903010Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [441]: MPSNode(mpsnode_union=MPSAdd(input1_id=827, input2_id=828, output_id=829, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5903660Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [442]: MPSNode(mpsnode_union=MPSView(input1_id=829, output_id=830, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5904360Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [443]: MPSNode(mpsnode_union=MPSAddmm(input1_id=831, input2_id=830, input3_id=30, output_id=832, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5905070Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [444]: MPSNode(mpsnode_union=MPSView(input1_id=832, output_id=833, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5905690Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [445]: MPSNode(mpsnode_union=MPSReLU(input1_id=833, output_id=834), min_max=None) 2025-06-05T19:09:25.5906300Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [446]: MPSNode(mpsnode_union=MPSView(input1_id=834, output_id=835, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5907020Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [447]: MPSNode(mpsnode_union=MPSAddmm(input1_id=836, input2_id=835, input3_id=28, output_id=837, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5907800Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [448]: MPSNode(mpsnode_union=MPSView(input1_id=837, output_id=838, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5908470Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [449]: MPSNode(mpsnode_union=MPSAdd(input1_id=838, input2_id=829, output_id=839, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5909090Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [450]: MPSNode(mpsnode_union=MPSMul(input1_id=839, input2_id=840, output_id=841), min_max=None) 2025-06-05T19:09:25.5909720Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [451]: MPSNode(mpsnode_union=MPSAdd(input1_id=841, input2_id=842, output_id=843, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5910370Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [452]: MPSNode(mpsnode_union=MPSView(input1_id=843, output_id=844, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5911140Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [453]: MPSNode(mpsnode_union=MPSAddmm(input1_id=845, input2_id=844, input3_id=34, output_id=846, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5911850Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [454]: MPSNode(mpsnode_union=MPSView(input1_id=846, output_id=847, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5912460Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [455]: MPSNode(mpsnode_union=MPSReLU(input1_id=847, output_id=848), min_max=None) 2025-06-05T19:09:25.5913060Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [456]: MPSNode(mpsnode_union=MPSView(input1_id=848, output_id=849, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5913830Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [457]: MPSNode(mpsnode_union=MPSAddmm(input1_id=850, input2_id=849, input3_id=32, output_id=851, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5914540Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [458]: MPSNode(mpsnode_union=MPSView(input1_id=851, output_id=852, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5915260Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [459]: MPSNode(mpsnode_union=MPSAdd(input1_id=852, input2_id=843, output_id=853, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5915870Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [460]: MPSNode(mpsnode_union=MPSMul(input1_id=853, input2_id=854, output_id=855), min_max=None) 2025-06-05T19:09:25.5916490Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [461]: MPSNode(mpsnode_union=MPSAdd(input1_id=855, input2_id=856, output_id=857, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5917130Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [462]: MPSNode(mpsnode_union=MPSView(input1_id=857, output_id=858, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5917830Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [463]: MPSNode(mpsnode_union=MPSAddmm(input1_id=859, input2_id=858, input3_id=36, output_id=860, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5918540Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [464]: MPSNode(mpsnode_union=MPSView(input1_id=860, output_id=861, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5919140Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [465]: MPSNode(mpsnode_union=MPSReLU(input1_id=861, output_id=862), min_max=None) 2025-06-05T19:09:25.5919730Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [466]: MPSNode(mpsnode_union=MPSView(input1_id=862, output_id=863, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5920430Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [467]: MPSNode(mpsnode_union=MPSAddmm(input1_id=864, input2_id=863, input3_id=18, output_id=865, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5921130Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [468]: MPSNode(mpsnode_union=MPSView(input1_id=865, output_id=866, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5921830Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [469]: MPSNode(mpsnode_union=MPSAdd(input1_id=866, input2_id=857, output_id=867, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5922460Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [470]: MPSNode(mpsnode_union=MPSMul(input1_id=867, input2_id=868, output_id=869), min_max=None) 2025-06-05T19:09:25.5923060Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [471]: MPSNode(mpsnode_union=MPSAdd(input1_id=869, input2_id=870, output_id=871, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5923710Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [472]: MPSNode(mpsnode_union=MPSView(input1_id=871, output_id=872, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5924400Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [473]: MPSNode(mpsnode_union=MPSAddmm(input1_id=873, input2_id=872, input3_id=16, output_id=874, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5925170Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [474]: MPSNode(mpsnode_union=MPSView(input1_id=874, output_id=875, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5925830Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [475]: MPSNode(mpsnode_union=MPSAdd(input1_id=875, input2_id=753, output_id=876, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5926450Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [476]: MPSNode(mpsnode_union=MPSMul(input1_id=876, input2_id=877, output_id=878), min_max=None) 2025-06-05T19:09:25.5927060Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [477]: MPSNode(mpsnode_union=MPSAdd(input1_id=878, input2_id=879, output_id=880, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5927770Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [478]: MPSNode(mpsnode_union=MPSView(input1_id=880, output_id=881, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5928420Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [479]: MPSNode(mpsnode_union=MPSView(input1_id=880, output_id=882, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5929140Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [480]: MPSNode(mpsnode_union=MPSView(input1_id=880, output_id=883, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5929830Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [481]: MPSNode(mpsnode_union=MPSAddmm(input1_id=884, input2_id=881, input3_id=50, output_id=885, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5930570Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [482]: MPSNode(mpsnode_union=MPSAddmm(input1_id=886, input2_id=882, input3_id=52, output_id=887, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5931310Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [483]: MPSNode(mpsnode_union=MPSAddmm(input1_id=888, input2_id=883, input3_id=44, output_id=889, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5932010Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [484]: MPSNode(mpsnode_union=MPSView(input1_id=885, output_id=890, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5932680Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [485]: MPSNode(mpsnode_union=MPSView(input1_id=887, output_id=891, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5933330Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [486]: MPSNode(mpsnode_union=MPSView(input1_id=889, output_id=892, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5933950Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [487]: MPSNode(mpsnode_union=MPSMul(input1_id=890, input2_id=893, output_id=894), min_max=None) 2025-06-05T19:09:25.5934550Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [488]: MPSNode(mpsnode_union=MPSMul(input1_id=891, input2_id=895, output_id=896), min_max=None) 2025-06-05T19:09:25.5935180Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [489]: MPSNode(mpsnode_union=MPSView(input1_id=892, output_id=897, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5935880Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [490]: MPSNode(mpsnode_union=MPSAdd(input1_id=894, input2_id=898, output_id=899, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5936520Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [491]: MPSNode(mpsnode_union=MPSAdd(input1_id=896, input2_id=900, output_id=901, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5937180Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [492]: MPSNode(mpsnode_union=MPSPermute(input1_id=897, output_id=902, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5937850Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [493]: MPSNode(mpsnode_union=MPSView(input1_id=901, output_id=903, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5938590Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [494]: MPSNode(mpsnode_union=MPSView(input1_id=901, output_id=904, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5939270Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [495]: MPSNode(mpsnode_union=MPSExpand(input1_id=902, output_id=905, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5939990Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [496]: MPSNode(mpsnode_union=MPSAddmm(input1_id=906, input2_id=903, input3_id=40, output_id=907, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5940740Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [497]: MPSNode(mpsnode_union=MPSAddmm(input1_id=908, input2_id=904, input3_id=42, output_id=909, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5941460Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [498]: MPSNode(mpsnode_union=MPSView(input1_id=905, output_id=910, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5942180Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [499]: MPSNode(mpsnode_union=MPSView(input1_id=907, output_id=911, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5942840Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [500]: MPSNode(mpsnode_union=MPSView(input1_id=909, output_id=912, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5943580Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [501]: MPSNode(mpsnode_union=MPSView(input1_id=911, output_id=913, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5944270Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [502]: MPSNode(mpsnode_union=MPSView(input1_id=912, output_id=914, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.5944960Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [503]: MPSNode(mpsnode_union=MPSPermute(input1_id=913, output_id=915, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5945630Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [504]: MPSNode(mpsnode_union=MPSPermute(input1_id=914, output_id=916, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5946320Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [505]: MPSNode(mpsnode_union=MPSExpand(input1_id=915, output_id=917, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5947000Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [506]: MPSNode(mpsnode_union=MPSPermute(input1_id=916, output_id=918, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.5947740Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [507]: MPSNode(mpsnode_union=MPSView(input1_id=917, output_id=919, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5948410Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [508]: MPSNode(mpsnode_union=MPSExpand(input1_id=918, output_id=920, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.5949080Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [509]: MPSNode(mpsnode_union=MPSView(input1_id=920, output_id=921, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.5949770Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [510]: MPSNode(mpsnode_union=MPSMatMul(input1_id=919, input2_id=921, output_id=922), min_max=None) 2025-06-05T19:09:25.5950430Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [511]: MPSNode(mpsnode_union=MPSView(input1_id=922, output_id=923, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5951100Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [512]: MPSNode(mpsnode_union=MPSDiv(input1_id=923, input2_id=924, output_id=925, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.5951760Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [513]: MPSNode(mpsnode_union=MPSAdd(input1_id=925, input2_id=743, output_id=926, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5952420Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [514]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=926, output_id=927, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.5953160Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [515]: MPSNode(mpsnode_union=MPSExpand(input1_id=927, output_id=928, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5953820Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [516]: MPSNode(mpsnode_union=MPSView(input1_id=928, output_id=929, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.5954460Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [517]: MPSNode(mpsnode_union=MPSMatMul(input1_id=929, input2_id=910, output_id=930), min_max=None) 2025-06-05T19:09:25.5955110Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [518]: MPSNode(mpsnode_union=MPSView(input1_id=930, output_id=931, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.5955790Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [519]: MPSNode(mpsnode_union=MPSPermute(input1_id=931, output_id=932, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.5956550Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [520]: MPSNode(mpsnode_union=MPSView(input1_id=932, output_id=933, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5957270Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [521]: MPSNode(mpsnode_union=MPSView(input1_id=933, output_id=934, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5957970Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [522]: MPSNode(mpsnode_union=MPSAddmm(input1_id=935, input2_id=934, input3_id=38, output_id=936, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5958680Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [523]: MPSNode(mpsnode_union=MPSView(input1_id=936, output_id=937, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5959340Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [524]: MPSNode(mpsnode_union=MPSAdd(input1_id=937, input2_id=899, output_id=938, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5959960Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [525]: MPSNode(mpsnode_union=MPSMul(input1_id=938, input2_id=939, output_id=940), min_max=None) 2025-06-05T19:09:25.5960590Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [526]: MPSNode(mpsnode_union=MPSAdd(input1_id=940, input2_id=941, output_id=942, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5961240Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [527]: MPSNode(mpsnode_union=MPSView(input1_id=942, output_id=943, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5961930Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [528]: MPSNode(mpsnode_union=MPSAddmm(input1_id=944, input2_id=943, input3_id=56, output_id=945, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5962640Z [INFO 2025-06-05 19:09:25,565 mps_preprocess.py:288] [529]: MPSNode(mpsnode_union=MPSView(input1_id=945, output_id=946, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5963240Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [530]: MPSNode(mpsnode_union=MPSReLU(input1_id=946, output_id=947), min_max=None) 2025-06-05T19:09:25.5963870Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [531]: MPSNode(mpsnode_union=MPSView(input1_id=947, output_id=948, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5964570Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [532]: MPSNode(mpsnode_union=MPSAddmm(input1_id=949, input2_id=948, input3_id=54, output_id=950, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5965260Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [533]: MPSNode(mpsnode_union=MPSView(input1_id=950, output_id=951, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5965910Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [534]: MPSNode(mpsnode_union=MPSAdd(input1_id=951, input2_id=942, output_id=952, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5966530Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [535]: MPSNode(mpsnode_union=MPSMul(input1_id=952, input2_id=953, output_id=954), min_max=None) 2025-06-05T19:09:25.5967230Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [536]: MPSNode(mpsnode_union=MPSAdd(input1_id=954, input2_id=955, output_id=956, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5967890Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [537]: MPSNode(mpsnode_union=MPSView(input1_id=956, output_id=957, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5968600Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [538]: MPSNode(mpsnode_union=MPSAddmm(input1_id=958, input2_id=957, input3_id=60, output_id=959, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5969300Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [539]: MPSNode(mpsnode_union=MPSView(input1_id=959, output_id=960, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5969960Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [540]: MPSNode(mpsnode_union=MPSReLU(input1_id=960, output_id=961), min_max=None) 2025-06-05T19:09:25.5970570Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [541]: MPSNode(mpsnode_union=MPSView(input1_id=961, output_id=962, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5971320Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [542]: MPSNode(mpsnode_union=MPSAddmm(input1_id=963, input2_id=962, input3_id=58, output_id=964, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5972030Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [543]: MPSNode(mpsnode_union=MPSView(input1_id=964, output_id=965, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5972690Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [544]: MPSNode(mpsnode_union=MPSAdd(input1_id=965, input2_id=956, output_id=966, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5973310Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [545]: MPSNode(mpsnode_union=MPSMul(input1_id=966, input2_id=967, output_id=968), min_max=None) 2025-06-05T19:09:25.5973940Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [546]: MPSNode(mpsnode_union=MPSAdd(input1_id=968, input2_id=969, output_id=970, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5974590Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [547]: MPSNode(mpsnode_union=MPSView(input1_id=970, output_id=971, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5975630Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [548]: MPSNode(mpsnode_union=MPSAddmm(input1_id=972, input2_id=971, input3_id=64, output_id=973, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5976360Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [549]: MPSNode(mpsnode_union=MPSView(input1_id=973, output_id=974, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5976980Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [550]: MPSNode(mpsnode_union=MPSReLU(input1_id=974, output_id=975), min_max=None) 2025-06-05T19:09:25.5977580Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [551]: MPSNode(mpsnode_union=MPSView(input1_id=975, output_id=976, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5978370Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [552]: MPSNode(mpsnode_union=MPSAddmm(input1_id=977, input2_id=976, input3_id=62, output_id=978, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5979070Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [553]: MPSNode(mpsnode_union=MPSView(input1_id=978, output_id=979, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5979720Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [554]: MPSNode(mpsnode_union=MPSAdd(input1_id=979, input2_id=970, output_id=980, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5980340Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [555]: MPSNode(mpsnode_union=MPSMul(input1_id=980, input2_id=981, output_id=982), min_max=None) 2025-06-05T19:09:25.5980950Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [556]: MPSNode(mpsnode_union=MPSAdd(input1_id=982, input2_id=983, output_id=984, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5981690Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [557]: MPSNode(mpsnode_union=MPSView(input1_id=984, output_id=985, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5982390Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [558]: MPSNode(mpsnode_union=MPSAddmm(input1_id=986, input2_id=985, input3_id=66, output_id=987, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5983090Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [559]: MPSNode(mpsnode_union=MPSView(input1_id=987, output_id=988, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5983700Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [560]: MPSNode(mpsnode_union=MPSReLU(input1_id=988, output_id=989), min_max=None) 2025-06-05T19:09:25.5984380Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [561]: MPSNode(mpsnode_union=MPSView(input1_id=989, output_id=990, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5985080Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [562]: MPSNode(mpsnode_union=MPSAddmm(input1_id=991, input2_id=990, input3_id=48, output_id=992, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5985870Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [563]: MPSNode(mpsnode_union=MPSView(input1_id=992, output_id=993, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5986520Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [564]: MPSNode(mpsnode_union=MPSAdd(input1_id=993, input2_id=984, output_id=994, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5987130Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [565]: MPSNode(mpsnode_union=MPSMul(input1_id=994, input2_id=995, output_id=996), min_max=None) 2025-06-05T19:09:25.5987740Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [566]: MPSNode(mpsnode_union=MPSAdd(input1_id=996, input2_id=997, output_id=998, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5988380Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [567]: MPSNode(mpsnode_union=MPSView(input1_id=998, output_id=999, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.5989080Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [568]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1000, input2_id=999, input3_id=46, output_id=1001, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5989790Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [569]: MPSNode(mpsnode_union=MPSView(input1_id=1001, output_id=1002, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.5990480Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [570]: MPSNode(mpsnode_union=MPSAdd(input1_id=1002, input2_id=880, output_id=1003, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5991110Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [571]: MPSNode(mpsnode_union=MPSMul(input1_id=1003, input2_id=1004, output_id=1005), min_max=None) 2025-06-05T19:09:25.5991760Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [572]: MPSNode(mpsnode_union=MPSAdd(input1_id=1005, input2_id=1006, output_id=1007, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5992460Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [573]: MPSNode(mpsnode_union=MPSView(input1_id=1007, output_id=1008, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5993120Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [574]: MPSNode(mpsnode_union=MPSView(input1_id=1007, output_id=1009, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5993780Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [575]: MPSNode(mpsnode_union=MPSView(input1_id=1007, output_id=1010, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.5994480Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [576]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1011, input2_id=1008, input3_id=80, output_id=1012, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5995330Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [577]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1013, input2_id=1009, input3_id=82, output_id=1014, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5996090Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [578]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1015, input2_id=1010, input3_id=74, output_id=1016, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.5996810Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [579]: MPSNode(mpsnode_union=MPSView(input1_id=1012, output_id=1017, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5997490Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [580]: MPSNode(mpsnode_union=MPSView(input1_id=1014, output_id=1018, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5998170Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [581]: MPSNode(mpsnode_union=MPSView(input1_id=1016, output_id=1019, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.5998890Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [582]: MPSNode(mpsnode_union=MPSMul(input1_id=1017, input2_id=1020, output_id=1021), min_max=None) 2025-06-05T19:09:25.5999510Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [583]: MPSNode(mpsnode_union=MPSMul(input1_id=1018, input2_id=1022, output_id=1023), min_max=None) 2025-06-05T19:09:25.6000230Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [584]: MPSNode(mpsnode_union=MPSView(input1_id=1019, output_id=1024, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6000900Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [585]: MPSNode(mpsnode_union=MPSAdd(input1_id=1021, input2_id=1025, output_id=1026, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6001550Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [586]: MPSNode(mpsnode_union=MPSAdd(input1_id=1023, input2_id=1027, output_id=1028, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6002220Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [587]: MPSNode(mpsnode_union=MPSPermute(input1_id=1024, output_id=1029, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6002900Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [588]: MPSNode(mpsnode_union=MPSView(input1_id=1028, output_id=1030, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6003550Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [589]: MPSNode(mpsnode_union=MPSView(input1_id=1028, output_id=1031, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6004210Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [590]: MPSNode(mpsnode_union=MPSExpand(input1_id=1029, output_id=1032, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6004970Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [591]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1033, input2_id=1030, input3_id=70, output_id=1034, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6005740Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [592]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1035, input2_id=1031, input3_id=72, output_id=1036, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6006510Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [593]: MPSNode(mpsnode_union=MPSView(input1_id=1032, output_id=1037, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6007190Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [594]: MPSNode(mpsnode_union=MPSView(input1_id=1034, output_id=1038, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6007860Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [595]: MPSNode(mpsnode_union=MPSView(input1_id=1036, output_id=1039, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6008550Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [596]: MPSNode(mpsnode_union=MPSView(input1_id=1038, output_id=1040, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6009240Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [597]: MPSNode(mpsnode_union=MPSView(input1_id=1039, output_id=1041, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6009980Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [598]: MPSNode(mpsnode_union=MPSPermute(input1_id=1040, output_id=1042, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6010670Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [599]: MPSNode(mpsnode_union=MPSPermute(input1_id=1041, output_id=1043, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6011360Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [600]: MPSNode(mpsnode_union=MPSExpand(input1_id=1042, output_id=1044, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6012040Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [601]: MPSNode(mpsnode_union=MPSPermute(input1_id=1043, output_id=1045, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6012820Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [602]: MPSNode(mpsnode_union=MPSView(input1_id=1044, output_id=1046, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6013520Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [603]: MPSNode(mpsnode_union=MPSExpand(input1_id=1045, output_id=1047, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6014240Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [604]: MPSNode(mpsnode_union=MPSView(input1_id=1047, output_id=1048, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6014890Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [605]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1046, input2_id=1048, output_id=1049), min_max=None) 2025-06-05T19:09:25.6015540Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [606]: MPSNode(mpsnode_union=MPSView(input1_id=1049, output_id=1050, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6016220Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [607]: MPSNode(mpsnode_union=MPSDiv(input1_id=1050, input2_id=1051, output_id=1052, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6016890Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [608]: MPSNode(mpsnode_union=MPSAdd(input1_id=1052, input2_id=743, output_id=1053, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6017560Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [609]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1053, output_id=1054, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6018240Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [610]: MPSNode(mpsnode_union=MPSExpand(input1_id=1054, output_id=1055, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6018910Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [611]: MPSNode(mpsnode_union=MPSView(input1_id=1055, output_id=1056, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6020040Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [612]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1056, input2_id=1037, output_id=1057), min_max=None) 2025-06-05T19:09:25.6020690Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [613]: MPSNode(mpsnode_union=MPSView(input1_id=1057, output_id=1058, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6021420Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [614]: MPSNode(mpsnode_union=MPSPermute(input1_id=1058, output_id=1059, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6022110Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [615]: MPSNode(mpsnode_union=MPSView(input1_id=1059, output_id=1060, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6022780Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [616]: MPSNode(mpsnode_union=MPSView(input1_id=1060, output_id=1061, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6023500Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [617]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1062, input2_id=1061, input3_id=68, output_id=1063, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6024280Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [618]: MPSNode(mpsnode_union=MPSView(input1_id=1063, output_id=1064, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6024950Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [619]: MPSNode(mpsnode_union=MPSAdd(input1_id=1064, input2_id=1026, output_id=1065, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6025590Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [620]: MPSNode(mpsnode_union=MPSMul(input1_id=1065, input2_id=1066, output_id=1067), min_max=None) 2025-06-05T19:09:25.6026220Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [621]: MPSNode(mpsnode_union=MPSAdd(input1_id=1067, input2_id=1068, output_id=1069, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6026870Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [622]: MPSNode(mpsnode_union=MPSView(input1_id=1069, output_id=1070, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6027650Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [623]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1071, input2_id=1070, input3_id=86, output_id=1072, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6028370Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [624]: MPSNode(mpsnode_union=MPSView(input1_id=1072, output_id=1073, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6029040Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [625]: MPSNode(mpsnode_union=MPSReLU(input1_id=1073, output_id=1074), min_max=None) 2025-06-05T19:09:25.6029640Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [626]: MPSNode(mpsnode_union=MPSView(input1_id=1074, output_id=1075, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6030350Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [627]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1076, input2_id=1075, input3_id=84, output_id=1077, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6031060Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [628]: MPSNode(mpsnode_union=MPSView(input1_id=1077, output_id=1078, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6031720Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [629]: MPSNode(mpsnode_union=MPSAdd(input1_id=1078, input2_id=1069, output_id=1079, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6032350Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [630]: MPSNode(mpsnode_union=MPSMul(input1_id=1079, input2_id=1080, output_id=1081), min_max=None) 2025-06-05T19:09:25.6032980Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [631]: MPSNode(mpsnode_union=MPSAdd(input1_id=1081, input2_id=1082, output_id=1083, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6033640Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [632]: MPSNode(mpsnode_union=MPSView(input1_id=1083, output_id=1084, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6034340Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [633]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1085, input2_id=1084, input3_id=90, output_id=1086, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6035090Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [634]: MPSNode(mpsnode_union=MPSView(input1_id=1086, output_id=1087, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6035710Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [635]: MPSNode(mpsnode_union=MPSReLU(input1_id=1087, output_id=1088), min_max=None) 2025-06-05T19:09:25.6036340Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [636]: MPSNode(mpsnode_union=MPSView(input1_id=1088, output_id=1089, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6037060Z [INFO 2025-06-05 19:09:25,566 mps_preprocess.py:288] [637]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1090, input2_id=1089, input3_id=88, output_id=1091, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6045940Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [638]: MPSNode(mpsnode_union=MPSView(input1_id=1091, output_id=1092, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6046710Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [639]: MPSNode(mpsnode_union=MPSAdd(input1_id=1092, input2_id=1083, output_id=1093, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6047350Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [640]: MPSNode(mpsnode_union=MPSMul(input1_id=1093, input2_id=1094, output_id=1095), min_max=None) 2025-06-05T19:09:25.6047980Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [641]: MPSNode(mpsnode_union=MPSAdd(input1_id=1095, input2_id=1096, output_id=1097, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6048640Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [642]: MPSNode(mpsnode_union=MPSView(input1_id=1097, output_id=1098, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6049440Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [643]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1099, input2_id=1098, input3_id=94, output_id=1100, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6050170Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [644]: MPSNode(mpsnode_union=MPSView(input1_id=1100, output_id=1101, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6050500Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [645]: MPSNode(mpsnode_union=MPSReLU(input1_id=1101, output_id=1102), min_max=None) 2025-06-05T19:09:25.6050800Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [646]: MPSNode(mpsnode_union=MPSView(input1_id=1102, output_id=1103, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6051150Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [647]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1104, input2_id=1103, input3_id=92, output_id=1105, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6051450Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [648]: MPSNode(mpsnode_union=MPSView(input1_id=1105, output_id=1106, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6051750Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [649]: MPSNode(mpsnode_union=MPSAdd(input1_id=1106, input2_id=1097, output_id=1107, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6052030Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [650]: MPSNode(mpsnode_union=MPSMul(input1_id=1107, input2_id=1108, output_id=1109), min_max=None) 2025-06-05T19:09:25.6052330Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [651]: MPSNode(mpsnode_union=MPSAdd(input1_id=1109, input2_id=1110, output_id=1111, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6052630Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [652]: MPSNode(mpsnode_union=MPSView(input1_id=1111, output_id=1112, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6052970Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [653]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1113, input2_id=1112, input3_id=96, output_id=1114, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6053280Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [654]: MPSNode(mpsnode_union=MPSView(input1_id=1114, output_id=1115, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6053580Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [655]: MPSNode(mpsnode_union=MPSReLU(input1_id=1115, output_id=1116), min_max=None) 2025-06-05T19:09:25.6053880Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [656]: MPSNode(mpsnode_union=MPSView(input1_id=1116, output_id=1117, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6054240Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [657]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1118, input2_id=1117, input3_id=78, output_id=1119, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6054550Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [658]: MPSNode(mpsnode_union=MPSView(input1_id=1119, output_id=1120, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6054930Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [659]: MPSNode(mpsnode_union=MPSAdd(input1_id=1120, input2_id=1111, output_id=1121, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6055210Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [660]: MPSNode(mpsnode_union=MPSMul(input1_id=1121, input2_id=1122, output_id=1123), min_max=None) 2025-06-05T19:09:25.6055510Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [661]: MPSNode(mpsnode_union=MPSAdd(input1_id=1123, input2_id=1124, output_id=1125, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6055810Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [662]: MPSNode(mpsnode_union=MPSView(input1_id=1125, output_id=1126, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6056160Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [663]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1127, input2_id=1126, input3_id=76, output_id=1128, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6056510Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [664]: MPSNode(mpsnode_union=MPSView(input1_id=1128, output_id=1129, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6056820Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [665]: MPSNode(mpsnode_union=MPSAdd(input1_id=1129, input2_id=1007, output_id=1130, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6057150Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [666]: MPSNode(mpsnode_union=MPSMul(input1_id=1130, input2_id=1131, output_id=1132), min_max=None) 2025-06-05T19:09:25.6057450Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [667]: MPSNode(mpsnode_union=MPSAdd(input1_id=1132, input2_id=1133, output_id=1134, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6057750Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [668]: MPSNode(mpsnode_union=MPSView(input1_id=1134, output_id=1135, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6058040Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [669]: MPSNode(mpsnode_union=MPSView(input1_id=1134, output_id=1136, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6058340Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [670]: MPSNode(mpsnode_union=MPSView(input1_id=1134, output_id=1137, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6058700Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [671]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1138, input2_id=1135, input3_id=110, output_id=1139, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6059040Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [672]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1140, input2_id=1136, input3_id=112, output_id=1141, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6059380Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [673]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1142, input2_id=1137, input3_id=104, output_id=1143, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6059690Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [674]: MPSNode(mpsnode_union=MPSView(input1_id=1139, output_id=1144, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6060080Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [675]: MPSNode(mpsnode_union=MPSView(input1_id=1141, output_id=1145, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6060380Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [676]: MPSNode(mpsnode_union=MPSView(input1_id=1143, output_id=1146, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6060660Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [677]: MPSNode(mpsnode_union=MPSMul(input1_id=1144, input2_id=1147, output_id=1148), min_max=None) 2025-06-05T19:09:25.6060930Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [678]: MPSNode(mpsnode_union=MPSMul(input1_id=1145, input2_id=1149, output_id=1150), min_max=None) 2025-06-05T19:09:25.6061240Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [679]: MPSNode(mpsnode_union=MPSView(input1_id=1146, output_id=1151, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6061600Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [680]: MPSNode(mpsnode_union=MPSAdd(input1_id=1148, input2_id=1152, output_id=1153, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6061900Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [681]: MPSNode(mpsnode_union=MPSAdd(input1_id=1150, input2_id=1154, output_id=1155, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6062210Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [682]: MPSNode(mpsnode_union=MPSPermute(input1_id=1151, output_id=1156, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6062510Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [683]: MPSNode(mpsnode_union=MPSView(input1_id=1155, output_id=1157, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6062810Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [684]: MPSNode(mpsnode_union=MPSView(input1_id=1155, output_id=1158, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6063230Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [685]: MPSNode(mpsnode_union=MPSExpand(input1_id=1156, output_id=1159, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6063640Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [686]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1160, input2_id=1157, input3_id=100, output_id=1161, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6063990Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [687]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1162, input2_id=1158, input3_id=102, output_id=1163, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6064290Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [688]: MPSNode(mpsnode_union=MPSView(input1_id=1159, output_id=1164, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6064600Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [689]: MPSNode(mpsnode_union=MPSView(input1_id=1161, output_id=1165, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6064900Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [690]: MPSNode(mpsnode_union=MPSView(input1_id=1163, output_id=1166, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6065210Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [691]: MPSNode(mpsnode_union=MPSView(input1_id=1165, output_id=1167, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6065530Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [692]: MPSNode(mpsnode_union=MPSView(input1_id=1166, output_id=1168, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6065840Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [693]: MPSNode(mpsnode_union=MPSPermute(input1_id=1167, output_id=1169, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6066150Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [694]: MPSNode(mpsnode_union=MPSPermute(input1_id=1168, output_id=1170, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6066460Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [695]: MPSNode(mpsnode_union=MPSExpand(input1_id=1169, output_id=1171, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6066820Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [696]: MPSNode(mpsnode_union=MPSPermute(input1_id=1170, output_id=1172, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6067120Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [697]: MPSNode(mpsnode_union=MPSView(input1_id=1171, output_id=1173, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6067430Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [698]: MPSNode(mpsnode_union=MPSExpand(input1_id=1172, output_id=1174, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6067740Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [699]: MPSNode(mpsnode_union=MPSView(input1_id=1174, output_id=1175, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6068090Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [700]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1173, input2_id=1175, output_id=1176), min_max=None) 2025-06-05T19:09:25.6068400Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [701]: MPSNode(mpsnode_union=MPSView(input1_id=1176, output_id=1177, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6068710Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [702]: MPSNode(mpsnode_union=MPSDiv(input1_id=1177, input2_id=1178, output_id=1179, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6069010Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [703]: MPSNode(mpsnode_union=MPSAdd(input1_id=1179, input2_id=743, output_id=1180, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6069320Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [704]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1180, output_id=1181, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6069690Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [705]: MPSNode(mpsnode_union=MPSExpand(input1_id=1181, output_id=1182, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6070010Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [706]: MPSNode(mpsnode_union=MPSView(input1_id=1182, output_id=1183, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6070350Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [707]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1183, input2_id=1164, output_id=1184), min_max=None) 2025-06-05T19:09:25.6070660Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [708]: MPSNode(mpsnode_union=MPSView(input1_id=1184, output_id=1185, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6070970Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [709]: MPSNode(mpsnode_union=MPSPermute(input1_id=1185, output_id=1186, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6071270Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [710]: MPSNode(mpsnode_union=MPSView(input1_id=1186, output_id=1187, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6071580Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [711]: MPSNode(mpsnode_union=MPSView(input1_id=1187, output_id=1188, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6071930Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [712]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1189, input2_id=1188, input3_id=98, output_id=1190, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6072220Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [713]: MPSNode(mpsnode_union=MPSView(input1_id=1190, output_id=1191, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6072520Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [714]: MPSNode(mpsnode_union=MPSAdd(input1_id=1191, input2_id=1153, output_id=1192, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6072790Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [715]: MPSNode(mpsnode_union=MPSMul(input1_id=1192, input2_id=1193, output_id=1194), min_max=None) 2025-06-05T19:09:25.6073120Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [716]: MPSNode(mpsnode_union=MPSAdd(input1_id=1194, input2_id=1195, output_id=1196, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6073430Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [717]: MPSNode(mpsnode_union=MPSView(input1_id=1196, output_id=1197, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6073780Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [718]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1198, input2_id=1197, input3_id=116, output_id=1199, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6074090Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [719]: MPSNode(mpsnode_union=MPSView(input1_id=1199, output_id=1200, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6074340Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [720]: MPSNode(mpsnode_union=MPSReLU(input1_id=1200, output_id=1201), min_max=None) 2025-06-05T19:09:25.6074700Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [721]: MPSNode(mpsnode_union=MPSView(input1_id=1201, output_id=1202, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6075160Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [722]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1203, input2_id=1202, input3_id=114, output_id=1204, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6075470Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [723]: MPSNode(mpsnode_union=MPSView(input1_id=1204, output_id=1205, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6075760Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [724]: MPSNode(mpsnode_union=MPSAdd(input1_id=1205, input2_id=1196, output_id=1206, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6076140Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [725]: MPSNode(mpsnode_union=MPSMul(input1_id=1206, input2_id=1207, output_id=1208), min_max=None) 2025-06-05T19:09:25.6076440Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [726]: MPSNode(mpsnode_union=MPSAdd(input1_id=1208, input2_id=1209, output_id=1210, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6076800Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [727]: MPSNode(mpsnode_union=MPSView(input1_id=1210, output_id=1211, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6077150Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [728]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1212, input2_id=1211, input3_id=120, output_id=1213, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6077450Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [729]: MPSNode(mpsnode_union=MPSView(input1_id=1213, output_id=1214, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6077690Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [730]: MPSNode(mpsnode_union=MPSReLU(input1_id=1214, output_id=1215), min_max=None) 2025-06-05T19:09:25.6077990Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [731]: MPSNode(mpsnode_union=MPSView(input1_id=1215, output_id=1216, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6078340Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [732]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1217, input2_id=1216, input3_id=118, output_id=1218, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6078640Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [733]: MPSNode(mpsnode_union=MPSView(input1_id=1218, output_id=1219, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6078940Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [734]: MPSNode(mpsnode_union=MPSAdd(input1_id=1219, input2_id=1210, output_id=1220, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6079210Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [735]: MPSNode(mpsnode_union=MPSMul(input1_id=1220, input2_id=1221, output_id=1222), min_max=None) 2025-06-05T19:09:25.6079510Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [736]: MPSNode(mpsnode_union=MPSAdd(input1_id=1222, input2_id=1223, output_id=1224, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6079850Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [737]: MPSNode(mpsnode_union=MPSView(input1_id=1224, output_id=1225, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6080190Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [738]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1226, input2_id=1225, input3_id=124, output_id=1227, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6080490Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [739]: MPSNode(mpsnode_union=MPSView(input1_id=1227, output_id=1228, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6080730Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [740]: MPSNode(mpsnode_union=MPSReLU(input1_id=1228, output_id=1229), min_max=None) 2025-06-05T19:09:25.6081050Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [741]: MPSNode(mpsnode_union=MPSView(input1_id=1229, output_id=1230, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6081470Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [742]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1231, input2_id=1230, input3_id=122, output_id=1232, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6081780Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [743]: MPSNode(mpsnode_union=MPSView(input1_id=1232, output_id=1233, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6082070Z [INFO 2025-06-05 19:09:25,567 mps_preprocess.py:288] [744]: MPSNode(mpsnode_union=MPSAdd(input1_id=1233, input2_id=1224, output_id=1234, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6082370Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [745]: MPSNode(mpsnode_union=MPSMul(input1_id=1234, input2_id=1235, output_id=1236), min_max=None) 2025-06-05T19:09:25.6082730Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [746]: MPSNode(mpsnode_union=MPSAdd(input1_id=1236, input2_id=1237, output_id=1238, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6083040Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [747]: MPSNode(mpsnode_union=MPSView(input1_id=1238, output_id=1239, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6083460Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [748]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1240, input2_id=1239, input3_id=126, output_id=1241, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6083770Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [749]: MPSNode(mpsnode_union=MPSView(input1_id=1241, output_id=1242, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6084020Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [750]: MPSNode(mpsnode_union=MPSReLU(input1_id=1242, output_id=1243), min_max=None) 2025-06-05T19:09:25.6084320Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [751]: MPSNode(mpsnode_union=MPSView(input1_id=1243, output_id=1244, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6084680Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [752]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1245, input2_id=1244, input3_id=108, output_id=1246, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6084980Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [753]: MPSNode(mpsnode_union=MPSView(input1_id=1246, output_id=1247, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6085290Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [754]: MPSNode(mpsnode_union=MPSAdd(input1_id=1247, input2_id=1238, output_id=1248, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6085570Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [755]: MPSNode(mpsnode_union=MPSMul(input1_id=1248, input2_id=1249, output_id=1250), min_max=None) 2025-06-05T19:09:25.6085870Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [756]: MPSNode(mpsnode_union=MPSAdd(input1_id=1250, input2_id=1251, output_id=1252, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6086170Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [757]: MPSNode(mpsnode_union=MPSView(input1_id=1252, output_id=1253, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6086570Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [758]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1254, input2_id=1253, input3_id=106, output_id=1255, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6086890Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [759]: MPSNode(mpsnode_union=MPSView(input1_id=1255, output_id=1256, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6087190Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [760]: MPSNode(mpsnode_union=MPSAdd(input1_id=1256, input2_id=1134, output_id=1257, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6087460Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [761]: MPSNode(mpsnode_union=MPSMul(input1_id=1257, input2_id=1258, output_id=1259), min_max=None) 2025-06-05T19:09:25.6087830Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [762]: MPSNode(mpsnode_union=MPSAdd(input1_id=1259, input2_id=1260, output_id=1261, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6088130Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [763]: MPSNode(mpsnode_union=MPSView(input1_id=1261, output_id=1262, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6088430Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [764]: MPSNode(mpsnode_union=MPSView(input1_id=1261, output_id=1263, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6088740Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [765]: MPSNode(mpsnode_union=MPSView(input1_id=1261, output_id=1264, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6089080Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [766]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1265, input2_id=1262, input3_id=140, output_id=1266, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6089530Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [767]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1267, input2_id=1263, input3_id=142, output_id=1268, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6089930Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [768]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1269, input2_id=1264, input3_id=134, output_id=1270, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6090260Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [769]: MPSNode(mpsnode_union=MPSView(input1_id=1266, output_id=1271, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6090580Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [770]: MPSNode(mpsnode_union=MPSView(input1_id=1268, output_id=1272, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6090910Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [771]: MPSNode(mpsnode_union=MPSView(input1_id=1270, output_id=1273, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6091220Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [772]: MPSNode(mpsnode_union=MPSMul(input1_id=1271, input2_id=1274, output_id=1275), min_max=None) 2025-06-05T19:09:25.6091510Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [773]: MPSNode(mpsnode_union=MPSMul(input1_id=1272, input2_id=1276, output_id=1277), min_max=None) 2025-06-05T19:09:25.6091820Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [774]: MPSNode(mpsnode_union=MPSView(input1_id=1273, output_id=1278, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6092130Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [775]: MPSNode(mpsnode_union=MPSAdd(input1_id=1275, input2_id=1279, output_id=1280, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6092420Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [776]: MPSNode(mpsnode_union=MPSAdd(input1_id=1277, input2_id=1281, output_id=1282, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6092740Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [777]: MPSNode(mpsnode_union=MPSPermute(input1_id=1278, output_id=1283, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6093080Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [778]: MPSNode(mpsnode_union=MPSView(input1_id=1282, output_id=1284, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6093380Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [779]: MPSNode(mpsnode_union=MPSView(input1_id=1282, output_id=1285, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6093700Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [780]: MPSNode(mpsnode_union=MPSExpand(input1_id=1283, output_id=1286, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6094040Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [781]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1287, input2_id=1284, input3_id=130, output_id=1288, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6094380Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [782]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1289, input2_id=1285, input3_id=132, output_id=1290, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6094750Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [783]: MPSNode(mpsnode_union=MPSView(input1_id=1286, output_id=1291, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6095050Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [784]: MPSNode(mpsnode_union=MPSView(input1_id=1288, output_id=1292, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6095360Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [785]: MPSNode(mpsnode_union=MPSView(input1_id=1290, output_id=1293, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6095660Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [786]: MPSNode(mpsnode_union=MPSView(input1_id=1292, output_id=1294, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6096020Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [787]: MPSNode(mpsnode_union=MPSView(input1_id=1293, output_id=1295, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6096350Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [788]: MPSNode(mpsnode_union=MPSPermute(input1_id=1294, output_id=1296, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6096720Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [789]: MPSNode(mpsnode_union=MPSPermute(input1_id=1295, output_id=1297, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6097040Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [790]: MPSNode(mpsnode_union=MPSExpand(input1_id=1296, output_id=1298, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6097340Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [791]: MPSNode(mpsnode_union=MPSPermute(input1_id=1297, output_id=1299, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6097640Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [792]: MPSNode(mpsnode_union=MPSView(input1_id=1298, output_id=1300, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6097960Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [793]: MPSNode(mpsnode_union=MPSExpand(input1_id=1299, output_id=1301, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6098260Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [794]: MPSNode(mpsnode_union=MPSView(input1_id=1301, output_id=1302, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6098540Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [795]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1300, input2_id=1302, output_id=1303), min_max=None) 2025-06-05T19:09:25.6098850Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [796]: MPSNode(mpsnode_union=MPSView(input1_id=1303, output_id=1304, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6099160Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [797]: MPSNode(mpsnode_union=MPSDiv(input1_id=1304, input2_id=1305, output_id=1306, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6099500Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [798]: MPSNode(mpsnode_union=MPSAdd(input1_id=1306, input2_id=743, output_id=1307, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6099820Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [799]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1307, output_id=1308, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6100150Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [800]: MPSNode(mpsnode_union=MPSExpand(input1_id=1308, output_id=1309, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6100450Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [801]: MPSNode(mpsnode_union=MPSView(input1_id=1309, output_id=1310, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6100730Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [802]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1310, input2_id=1291, output_id=1311), min_max=None) 2025-06-05T19:09:25.6101110Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [803]: MPSNode(mpsnode_union=MPSView(input1_id=1311, output_id=1312, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6101430Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [804]: MPSNode(mpsnode_union=MPSPermute(input1_id=1312, output_id=1313, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6101730Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [805]: MPSNode(mpsnode_union=MPSView(input1_id=1313, output_id=1314, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6102020Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [806]: MPSNode(mpsnode_union=MPSView(input1_id=1314, output_id=1315, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6102460Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [807]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1316, input2_id=1315, input3_id=128, output_id=1317, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6102770Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [808]: MPSNode(mpsnode_union=MPSView(input1_id=1317, output_id=1318, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6103130Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [809]: MPSNode(mpsnode_union=MPSAdd(input1_id=1318, input2_id=1280, output_id=1319, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6103410Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [810]: MPSNode(mpsnode_union=MPSMul(input1_id=1319, input2_id=1320, output_id=1321), min_max=None) 2025-06-05T19:09:25.6103710Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [811]: MPSNode(mpsnode_union=MPSAdd(input1_id=1321, input2_id=1322, output_id=1323, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6104010Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [812]: MPSNode(mpsnode_union=MPSView(input1_id=1323, output_id=1324, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6104370Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [813]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1325, input2_id=1324, input3_id=146, output_id=1326, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6104690Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [814]: MPSNode(mpsnode_union=MPSView(input1_id=1326, output_id=1327, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6104930Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [815]: MPSNode(mpsnode_union=MPSReLU(input1_id=1327, output_id=1328), min_max=None) 2025-06-05T19:09:25.6105240Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [816]: MPSNode(mpsnode_union=MPSView(input1_id=1328, output_id=1329, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6105590Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [817]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1330, input2_id=1329, input3_id=144, output_id=1331, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6105900Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [818]: MPSNode(mpsnode_union=MPSView(input1_id=1331, output_id=1332, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6106240Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [819]: MPSNode(mpsnode_union=MPSAdd(input1_id=1332, input2_id=1323, output_id=1333, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6106520Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [820]: MPSNode(mpsnode_union=MPSMul(input1_id=1333, input2_id=1334, output_id=1335), min_max=None) 2025-06-05T19:09:25.6106820Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [821]: MPSNode(mpsnode_union=MPSAdd(input1_id=1335, input2_id=1336, output_id=1337, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6107120Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [822]: MPSNode(mpsnode_union=MPSView(input1_id=1337, output_id=1338, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6107470Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [823]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1339, input2_id=1338, input3_id=150, output_id=1340, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6107850Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [824]: MPSNode(mpsnode_union=MPSView(input1_id=1340, output_id=1341, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6108100Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [825]: MPSNode(mpsnode_union=MPSReLU(input1_id=1341, output_id=1342), min_max=None) 2025-06-05T19:09:25.6108390Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [826]: MPSNode(mpsnode_union=MPSView(input1_id=1342, output_id=1343, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6108740Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [827]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1344, input2_id=1343, input3_id=148, output_id=1345, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6109100Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [828]: MPSNode(mpsnode_union=MPSView(input1_id=1345, output_id=1346, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6109410Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [829]: MPSNode(mpsnode_union=MPSAdd(input1_id=1346, input2_id=1337, output_id=1347, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6109750Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [830]: MPSNode(mpsnode_union=MPSMul(input1_id=1347, input2_id=1348, output_id=1349), min_max=None) 2025-06-05T19:09:25.6110050Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [831]: MPSNode(mpsnode_union=MPSAdd(input1_id=1349, input2_id=1350, output_id=1351, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6110370Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [832]: MPSNode(mpsnode_union=MPSView(input1_id=1351, output_id=1352, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6110730Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [833]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1353, input2_id=1352, input3_id=154, output_id=1354, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6111040Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [834]: MPSNode(mpsnode_union=MPSView(input1_id=1354, output_id=1355, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6111290Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [835]: MPSNode(mpsnode_union=MPSReLU(input1_id=1355, output_id=1356), min_max=None) 2025-06-05T19:09:25.6111590Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [836]: MPSNode(mpsnode_union=MPSView(input1_id=1356, output_id=1357, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6111940Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [837]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1358, input2_id=1357, input3_id=152, output_id=1359, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6112240Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [838]: MPSNode(mpsnode_union=MPSView(input1_id=1359, output_id=1360, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6112540Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [839]: MPSNode(mpsnode_union=MPSAdd(input1_id=1360, input2_id=1351, output_id=1361, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6112870Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [840]: MPSNode(mpsnode_union=MPSMul(input1_id=1361, input2_id=1362, output_id=1363), min_max=None) 2025-06-05T19:09:25.6113170Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [841]: MPSNode(mpsnode_union=MPSAdd(input1_id=1363, input2_id=1364, output_id=1365, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6113460Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [842]: MPSNode(mpsnode_union=MPSView(input1_id=1365, output_id=1366, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6113820Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [843]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1367, input2_id=1366, input3_id=156, output_id=1368, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6114220Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [844]: MPSNode(mpsnode_union=MPSView(input1_id=1368, output_id=1369, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6114470Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [845]: MPSNode(mpsnode_union=MPSReLU(input1_id=1369, output_id=1370), min_max=None) 2025-06-05T19:09:25.6114770Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [846]: MPSNode(mpsnode_union=MPSView(input1_id=1370, output_id=1371, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6115130Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [847]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1372, input2_id=1371, input3_id=138, output_id=1373, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6115430Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [848]: MPSNode(mpsnode_union=MPSView(input1_id=1373, output_id=1374, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6115810Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [849]: MPSNode(mpsnode_union=MPSAdd(input1_id=1374, input2_id=1365, output_id=1375, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6116090Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [850]: MPSNode(mpsnode_union=MPSMul(input1_id=1375, input2_id=1376, output_id=1377), min_max=None) 2025-06-05T19:09:25.6116470Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [851]: MPSNode(mpsnode_union=MPSAdd(input1_id=1377, input2_id=1378, output_id=1379, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6116780Z [INFO 2025-06-05 19:09:25,568 mps_preprocess.py:288] [852]: MPSNode(mpsnode_union=MPSView(input1_id=1379, output_id=1380, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6117140Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [853]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1381, input2_id=1380, input3_id=136, output_id=1382, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6117450Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [854]: MPSNode(mpsnode_union=MPSView(input1_id=1382, output_id=1383, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6117740Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [855]: MPSNode(mpsnode_union=MPSAdd(input1_id=1383, input2_id=1261, output_id=1384, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6118030Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [856]: MPSNode(mpsnode_union=MPSMul(input1_id=1384, input2_id=1385, output_id=1386), min_max=None) 2025-06-05T19:09:25.6118320Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [857]: MPSNode(mpsnode_union=MPSAdd(input1_id=1386, input2_id=1387, output_id=1388, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6118620Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [858]: MPSNode(mpsnode_union=MPSView(input1_id=1388, output_id=1389, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6118920Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [859]: MPSNode(mpsnode_union=MPSView(input1_id=1388, output_id=1390, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6119270Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [860]: MPSNode(mpsnode_union=MPSView(input1_id=1388, output_id=1391, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6119650Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [861]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1392, input2_id=1389, input3_id=170, output_id=1393, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6120000Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [862]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1394, input2_id=1390, input3_id=172, output_id=1395, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6120340Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [863]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1396, input2_id=1391, input3_id=164, output_id=1397, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6120720Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [864]: MPSNode(mpsnode_union=MPSView(input1_id=1393, output_id=1398, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6121020Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [865]: MPSNode(mpsnode_union=MPSView(input1_id=1395, output_id=1399, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6121320Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [866]: MPSNode(mpsnode_union=MPSView(input1_id=1397, output_id=1400, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6121590Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [867]: MPSNode(mpsnode_union=MPSMul(input1_id=1398, input2_id=1401, output_id=1402), min_max=None) 2025-06-05T19:09:25.6121860Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [868]: MPSNode(mpsnode_union=MPSMul(input1_id=1399, input2_id=1403, output_id=1404), min_max=None) 2025-06-05T19:09:25.6122230Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [869]: MPSNode(mpsnode_union=MPSView(input1_id=1400, output_id=1405, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6122520Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [870]: MPSNode(mpsnode_union=MPSAdd(input1_id=1402, input2_id=1406, output_id=1407, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6122870Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [871]: MPSNode(mpsnode_union=MPSAdd(input1_id=1404, input2_id=1408, output_id=1409, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6123180Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [872]: MPSNode(mpsnode_union=MPSPermute(input1_id=1405, output_id=1410, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6123470Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [873]: MPSNode(mpsnode_union=MPSView(input1_id=1409, output_id=1411, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6123760Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [874]: MPSNode(mpsnode_union=MPSView(input1_id=1409, output_id=1412, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6124070Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [875]: MPSNode(mpsnode_union=MPSExpand(input1_id=1410, output_id=1413, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6124420Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [876]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1414, input2_id=1411, input3_id=160, output_id=1415, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6124760Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [877]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1416, input2_id=1412, input3_id=162, output_id=1417, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6125070Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [878]: MPSNode(mpsnode_union=MPSView(input1_id=1413, output_id=1418, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6125360Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [879]: MPSNode(mpsnode_union=MPSView(input1_id=1415, output_id=1419, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6125660Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [880]: MPSNode(mpsnode_union=MPSView(input1_id=1417, output_id=1420, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6126010Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [881]: MPSNode(mpsnode_union=MPSView(input1_id=1419, output_id=1421, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6126310Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [882]: MPSNode(mpsnode_union=MPSView(input1_id=1420, output_id=1422, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6126640Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [883]: MPSNode(mpsnode_union=MPSPermute(input1_id=1421, output_id=1423, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6126970Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [884]: MPSNode(mpsnode_union=MPSPermute(input1_id=1422, output_id=1424, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6127360Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [885]: MPSNode(mpsnode_union=MPSExpand(input1_id=1423, output_id=1425, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6127680Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [886]: MPSNode(mpsnode_union=MPSPermute(input1_id=1424, output_id=1426, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6127980Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [887]: MPSNode(mpsnode_union=MPSView(input1_id=1425, output_id=1427, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6128290Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [888]: MPSNode(mpsnode_union=MPSExpand(input1_id=1426, output_id=1428, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6128650Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [889]: MPSNode(mpsnode_union=MPSView(input1_id=1428, output_id=1429, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6128940Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [890]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1427, input2_id=1429, output_id=1430), min_max=None) 2025-06-05T19:09:25.6129320Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [891]: MPSNode(mpsnode_union=MPSView(input1_id=1430, output_id=1431, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6129630Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [892]: MPSNode(mpsnode_union=MPSDiv(input1_id=1431, input2_id=1432, output_id=1433, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6129930Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [893]: MPSNode(mpsnode_union=MPSAdd(input1_id=1433, input2_id=743, output_id=1434, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6130240Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [894]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1434, output_id=1435, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6130550Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [895]: MPSNode(mpsnode_union=MPSExpand(input1_id=1435, output_id=1436, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6130870Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [896]: MPSNode(mpsnode_union=MPSView(input1_id=1436, output_id=1437, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6131150Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [897]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1437, input2_id=1418, output_id=1438), min_max=None) 2025-06-05T19:09:25.6131460Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [898]: MPSNode(mpsnode_union=MPSView(input1_id=1438, output_id=1439, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6131790Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [899]: MPSNode(mpsnode_union=MPSPermute(input1_id=1439, output_id=1440, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6132100Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [900]: MPSNode(mpsnode_union=MPSView(input1_id=1440, output_id=1441, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6132430Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [901]: MPSNode(mpsnode_union=MPSView(input1_id=1441, output_id=1442, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6132790Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [902]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1443, input2_id=1442, input3_id=158, output_id=1444, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6133100Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [903]: MPSNode(mpsnode_union=MPSView(input1_id=1444, output_id=1445, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6133390Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [904]: MPSNode(mpsnode_union=MPSAdd(input1_id=1445, input2_id=1407, output_id=1446, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6133730Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [905]: MPSNode(mpsnode_union=MPSMul(input1_id=1446, input2_id=1447, output_id=1448), min_max=None) 2025-06-05T19:09:25.6134040Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [906]: MPSNode(mpsnode_union=MPSAdd(input1_id=1448, input2_id=1449, output_id=1450, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6134340Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [907]: MPSNode(mpsnode_union=MPSView(input1_id=1450, output_id=1451, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6134690Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [908]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1452, input2_id=1451, input3_id=176, output_id=1453, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6134990Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [909]: MPSNode(mpsnode_union=MPSView(input1_id=1453, output_id=1454, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6135280Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [910]: MPSNode(mpsnode_union=MPSReLU(input1_id=1454, output_id=1455), min_max=None) 2025-06-05T19:09:25.6135590Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [911]: MPSNode(mpsnode_union=MPSView(input1_id=1455, output_id=1456, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6135980Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [912]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1457, input2_id=1456, input3_id=174, output_id=1458, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6136280Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [913]: MPSNode(mpsnode_union=MPSView(input1_id=1458, output_id=1459, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6136580Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [914]: MPSNode(mpsnode_union=MPSAdd(input1_id=1459, input2_id=1450, output_id=1460, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6136860Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [915]: MPSNode(mpsnode_union=MPSMul(input1_id=1460, input2_id=1461, output_id=1462), min_max=None) 2025-06-05T19:09:25.6137150Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [916]: MPSNode(mpsnode_union=MPSAdd(input1_id=1462, input2_id=1463, output_id=1464, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6137460Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [917]: MPSNode(mpsnode_union=MPSView(input1_id=1464, output_id=1465, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6137820Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [918]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1466, input2_id=1465, input3_id=180, output_id=1467, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6138120Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [919]: MPSNode(mpsnode_union=MPSView(input1_id=1467, output_id=1468, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6138380Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [920]: MPSNode(mpsnode_union=MPSReLU(input1_id=1468, output_id=1469), min_max=None) 2025-06-05T19:09:25.6138680Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [921]: MPSNode(mpsnode_union=MPSView(input1_id=1469, output_id=1470, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6139080Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [922]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1471, input2_id=1470, input3_id=178, output_id=1472, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6139390Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [923]: MPSNode(mpsnode_union=MPSView(input1_id=1472, output_id=1473, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6139690Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [924]: MPSNode(mpsnode_union=MPSAdd(input1_id=1473, input2_id=1464, output_id=1474, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6139960Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [925]: MPSNode(mpsnode_union=MPSMul(input1_id=1474, input2_id=1475, output_id=1476), min_max=None) 2025-06-05T19:09:25.6140320Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [926]: MPSNode(mpsnode_union=MPSAdd(input1_id=1476, input2_id=1477, output_id=1478, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6140650Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [927]: MPSNode(mpsnode_union=MPSView(input1_id=1478, output_id=1479, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6141000Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [928]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1480, input2_id=1479, input3_id=184, output_id=1481, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6141320Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [929]: MPSNode(mpsnode_union=MPSView(input1_id=1481, output_id=1482, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6141570Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [930]: MPSNode(mpsnode_union=MPSReLU(input1_id=1482, output_id=1483), min_max=None) 2025-06-05T19:09:25.6141980Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [931]: MPSNode(mpsnode_union=MPSView(input1_id=1483, output_id=1484, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6142340Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [932]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1485, input2_id=1484, input3_id=182, output_id=1486, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6142710Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [933]: MPSNode(mpsnode_union=MPSView(input1_id=1486, output_id=1487, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6143020Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [934]: MPSNode(mpsnode_union=MPSAdd(input1_id=1487, input2_id=1478, output_id=1488, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6143300Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [935]: MPSNode(mpsnode_union=MPSMul(input1_id=1488, input2_id=1489, output_id=1490), min_max=None) 2025-06-05T19:09:25.6143600Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [936]: MPSNode(mpsnode_union=MPSAdd(input1_id=1490, input2_id=1491, output_id=1492, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6143900Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [937]: MPSNode(mpsnode_union=MPSView(input1_id=1492, output_id=1493, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6144250Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [938]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1494, input2_id=1493, input3_id=186, output_id=1495, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6144560Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [939]: MPSNode(mpsnode_union=MPSView(input1_id=1495, output_id=1496, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6144810Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [940]: MPSNode(mpsnode_union=MPSReLU(input1_id=1496, output_id=1497), min_max=None) 2025-06-05T19:09:25.6145110Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [941]: MPSNode(mpsnode_union=MPSView(input1_id=1497, output_id=1498, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6145500Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [942]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1499, input2_id=1498, input3_id=168, output_id=1500, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6145820Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [943]: MPSNode(mpsnode_union=MPSView(input1_id=1500, output_id=1501, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6146110Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [944]: MPSNode(mpsnode_union=MPSAdd(input1_id=1501, input2_id=1492, output_id=1502, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6146400Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [945]: MPSNode(mpsnode_union=MPSMul(input1_id=1502, input2_id=1503, output_id=1504), min_max=None) 2025-06-05T19:09:25.6146690Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [946]: MPSNode(mpsnode_union=MPSAdd(input1_id=1504, input2_id=1505, output_id=1506, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6147050Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [947]: MPSNode(mpsnode_union=MPSView(input1_id=1506, output_id=1507, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6147410Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [948]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1508, input2_id=1507, input3_id=166, output_id=1509, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6147720Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [949]: MPSNode(mpsnode_union=MPSView(input1_id=1509, output_id=1510, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6148020Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [950]: MPSNode(mpsnode_union=MPSAdd(input1_id=1510, input2_id=1388, output_id=1511, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6148360Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [951]: MPSNode(mpsnode_union=MPSMul(input1_id=1511, input2_id=1512, output_id=1513), min_max=None) 2025-06-05T19:09:25.6148660Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [952]: MPSNode(mpsnode_union=MPSAdd(input1_id=1513, input2_id=1514, output_id=1515, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6149010Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [953]: MPSNode(mpsnode_union=MPSView(input1_id=1515, output_id=1516, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6149310Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [954]: MPSNode(mpsnode_union=MPSView(input1_id=1515, output_id=1517, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6149600Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [955]: MPSNode(mpsnode_union=MPSView(input1_id=1515, output_id=1518, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6149950Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [956]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1519, input2_id=1516, input3_id=200, output_id=1520, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6150300Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [957]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1521, input2_id=1517, input3_id=202, output_id=1522, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6150640Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [958]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1523, input2_id=1518, input3_id=194, output_id=1524, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6150950Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [959]: MPSNode(mpsnode_union=MPSView(input1_id=1520, output_id=1525, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6151250Z [INFO 2025-06-05 19:09:25,569 mps_preprocess.py:288] [960]: MPSNode(mpsnode_union=MPSView(input1_id=1522, output_id=1526, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6151550Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [961]: MPSNode(mpsnode_union=MPSView(input1_id=1524, output_id=1527, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6151830Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [962]: MPSNode(mpsnode_union=MPSMul(input1_id=1525, input2_id=1528, output_id=1529), min_max=None) 2025-06-05T19:09:25.6152140Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [963]: MPSNode(mpsnode_union=MPSMul(input1_id=1526, input2_id=1530, output_id=1531), min_max=None) 2025-06-05T19:09:25.6152460Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [964]: MPSNode(mpsnode_union=MPSView(input1_id=1527, output_id=1532, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6152770Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [965]: MPSNode(mpsnode_union=MPSAdd(input1_id=1529, input2_id=1533, output_id=1534, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6153060Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [966]: MPSNode(mpsnode_union=MPSAdd(input1_id=1531, input2_id=1535, output_id=1536, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6153430Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [967]: MPSNode(mpsnode_union=MPSPermute(input1_id=1532, output_id=1537, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6153720Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [968]: MPSNode(mpsnode_union=MPSView(input1_id=1536, output_id=1538, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6154010Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [969]: MPSNode(mpsnode_union=MPSView(input1_id=1536, output_id=1539, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6154340Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [970]: MPSNode(mpsnode_union=MPSExpand(input1_id=1537, output_id=1540, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6154690Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [971]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1541, input2_id=1538, input3_id=190, output_id=1542, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6155100Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [972]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1543, input2_id=1539, input3_id=192, output_id=1544, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6155480Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [973]: MPSNode(mpsnode_union=MPSView(input1_id=1540, output_id=1545, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6155790Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [974]: MPSNode(mpsnode_union=MPSView(input1_id=1542, output_id=1546, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6156100Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [975]: MPSNode(mpsnode_union=MPSView(input1_id=1544, output_id=1547, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6156420Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [976]: MPSNode(mpsnode_union=MPSView(input1_id=1546, output_id=1548, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6156740Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [977]: MPSNode(mpsnode_union=MPSView(input1_id=1547, output_id=1549, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6157070Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [978]: MPSNode(mpsnode_union=MPSPermute(input1_id=1548, output_id=1550, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6157390Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [979]: MPSNode(mpsnode_union=MPSPermute(input1_id=1549, output_id=1551, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6157710Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [980]: MPSNode(mpsnode_union=MPSExpand(input1_id=1550, output_id=1552, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6158020Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [981]: MPSNode(mpsnode_union=MPSPermute(input1_id=1551, output_id=1553, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6158340Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [982]: MPSNode(mpsnode_union=MPSView(input1_id=1552, output_id=1554, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6158670Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [983]: MPSNode(mpsnode_union=MPSExpand(input1_id=1553, output_id=1555, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6159000Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [984]: MPSNode(mpsnode_union=MPSView(input1_id=1555, output_id=1556, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6159300Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [985]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1554, input2_id=1556, output_id=1557), min_max=None) 2025-06-05T19:09:25.6159610Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [986]: MPSNode(mpsnode_union=MPSView(input1_id=1557, output_id=1558, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6160010Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [987]: MPSNode(mpsnode_union=MPSDiv(input1_id=1558, input2_id=1559, output_id=1560, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6160310Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [988]: MPSNode(mpsnode_union=MPSAdd(input1_id=1560, input2_id=743, output_id=1561, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6160630Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [989]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1561, output_id=1562, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6160940Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [990]: MPSNode(mpsnode_union=MPSExpand(input1_id=1562, output_id=1563, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6161240Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [991]: MPSNode(mpsnode_union=MPSView(input1_id=1563, output_id=1564, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6161570Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [992]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1564, input2_id=1545, output_id=1565), min_max=None) 2025-06-05T19:09:25.6161890Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [993]: MPSNode(mpsnode_union=MPSView(input1_id=1565, output_id=1566, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6162270Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [994]: MPSNode(mpsnode_union=MPSPermute(input1_id=1566, output_id=1567, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6162570Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [995]: MPSNode(mpsnode_union=MPSView(input1_id=1567, output_id=1568, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6162870Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [996]: MPSNode(mpsnode_union=MPSView(input1_id=1568, output_id=1569, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6163220Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [997]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1570, input2_id=1569, input3_id=188, output_id=1571, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6163520Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [998]: MPSNode(mpsnode_union=MPSView(input1_id=1571, output_id=1572, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6163810Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [999]: MPSNode(mpsnode_union=MPSAdd(input1_id=1572, input2_id=1534, output_id=1573, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6164080Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1000]: MPSNode(mpsnode_union=MPSMul(input1_id=1573, input2_id=1574, output_id=1575), min_max=None) 2025-06-05T19:09:25.6164380Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1001]: MPSNode(mpsnode_union=MPSAdd(input1_id=1575, input2_id=1576, output_id=1577, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6164670Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1002]: MPSNode(mpsnode_union=MPSView(input1_id=1577, output_id=1578, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6165030Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1003]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1579, input2_id=1578, input3_id=206, output_id=1580, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6165380Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1004]: MPSNode(mpsnode_union=MPSView(input1_id=1580, output_id=1581, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6165640Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1005]: MPSNode(mpsnode_union=MPSReLU(input1_id=1581, output_id=1582), min_max=None) 2025-06-05T19:09:25.6165950Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1006]: MPSNode(mpsnode_union=MPSView(input1_id=1582, output_id=1583, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6166310Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1007]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1584, input2_id=1583, input3_id=204, output_id=1585, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6166670Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1008]: MPSNode(mpsnode_union=MPSView(input1_id=1585, output_id=1586, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6166970Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1009]: MPSNode(mpsnode_union=MPSAdd(input1_id=1586, input2_id=1577, output_id=1587, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6167250Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1010]: MPSNode(mpsnode_union=MPSMul(input1_id=1587, input2_id=1588, output_id=1589), min_max=None) 2025-06-05T19:09:25.6167550Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1011]: MPSNode(mpsnode_union=MPSAdd(input1_id=1589, input2_id=1590, output_id=1591, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6167850Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1012]: MPSNode(mpsnode_union=MPSView(input1_id=1591, output_id=1592, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6168290Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1013]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1593, input2_id=1592, input3_id=210, output_id=1594, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6168670Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1014]: MPSNode(mpsnode_union=MPSView(input1_id=1594, output_id=1595, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6168920Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1015]: MPSNode(mpsnode_union=MPSReLU(input1_id=1595, output_id=1596), min_max=None) 2025-06-05T19:09:25.6169220Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1016]: MPSNode(mpsnode_union=MPSView(input1_id=1596, output_id=1597, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6169570Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1017]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1598, input2_id=1597, input3_id=208, output_id=1599, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6169880Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1018]: MPSNode(mpsnode_union=MPSView(input1_id=1599, output_id=1600, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6170180Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1019]: MPSNode(mpsnode_union=MPSAdd(input1_id=1600, input2_id=1591, output_id=1601, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6170460Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1020]: MPSNode(mpsnode_union=MPSMul(input1_id=1601, input2_id=1602, output_id=1603), min_max=None) 2025-06-05T19:09:25.6170770Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1021]: MPSNode(mpsnode_union=MPSAdd(input1_id=1603, input2_id=1604, output_id=1605, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6171060Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1022]: MPSNode(mpsnode_union=MPSView(input1_id=1605, output_id=1606, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6171420Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1023]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1607, input2_id=1606, input3_id=214, output_id=1608, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6171760Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1024]: MPSNode(mpsnode_union=MPSView(input1_id=1608, output_id=1609, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6172010Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1025]: MPSNode(mpsnode_union=MPSReLU(input1_id=1609, output_id=1610), min_max=None) 2025-06-05T19:09:25.6172310Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1026]: MPSNode(mpsnode_union=MPSView(input1_id=1610, output_id=1611, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6172660Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1027]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1612, input2_id=1611, input3_id=212, output_id=1613, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6172980Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1028]: MPSNode(mpsnode_union=MPSView(input1_id=1613, output_id=1614, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6173340Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1029]: MPSNode(mpsnode_union=MPSAdd(input1_id=1614, input2_id=1605, output_id=1615, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6173630Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1030]: MPSNode(mpsnode_union=MPSMul(input1_id=1615, input2_id=1616, output_id=1617), min_max=None) 2025-06-05T19:09:25.6173930Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1031]: MPSNode(mpsnode_union=MPSAdd(input1_id=1617, input2_id=1618, output_id=1619, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6174240Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1032]: MPSNode(mpsnode_union=MPSView(input1_id=1619, output_id=1620, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6174640Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1033]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1621, input2_id=1620, input3_id=216, output_id=1622, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6174970Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1034]: MPSNode(mpsnode_union=MPSView(input1_id=1622, output_id=1623, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6175280Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1035]: MPSNode(mpsnode_union=MPSReLU(input1_id=1623, output_id=1624), min_max=None) 2025-06-05T19:09:25.6175590Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1036]: MPSNode(mpsnode_union=MPSView(input1_id=1624, output_id=1625, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6175950Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1037]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1626, input2_id=1625, input3_id=198, output_id=1627, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6176260Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1038]: MPSNode(mpsnode_union=MPSView(input1_id=1627, output_id=1628, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6178640Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1039]: MPSNode(mpsnode_union=MPSAdd(input1_id=1628, input2_id=1619, output_id=1629, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6179510Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1040]: MPSNode(mpsnode_union=MPSMul(input1_id=1629, input2_id=1630, output_id=1631), min_max=None) 2025-06-05T19:09:25.6180340Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1041]: MPSNode(mpsnode_union=MPSAdd(input1_id=1631, input2_id=1632, output_id=1633, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6181180Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1042]: MPSNode(mpsnode_union=MPSView(input1_id=1633, output_id=1634, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6182160Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1043]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1635, input2_id=1634, input3_id=196, output_id=1636, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6183030Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1044]: MPSNode(mpsnode_union=MPSView(input1_id=1636, output_id=1637, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6184120Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1045]: MPSNode(mpsnode_union=MPSAdd(input1_id=1637, input2_id=1515, output_id=1638, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6184890Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1046]: MPSNode(mpsnode_union=MPSMul(input1_id=1638, input2_id=1639, output_id=1640), min_max=None) 2025-06-05T19:09:25.6185710Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1047]: MPSNode(mpsnode_union=MPSAdd(input1_id=1640, input2_id=1641, output_id=1642, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6186530Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1048]: MPSNode(mpsnode_union=MPSView(input1_id=1642, output_id=1643, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6187650Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1049]: MPSNode(mpsnode_union=MPSView(input1_id=1642, output_id=1644, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6188530Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1050]: MPSNode(mpsnode_union=MPSView(input1_id=1642, output_id=1645, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6189500Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1051]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1646, input2_id=1643, input3_id=230, output_id=1647, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6190480Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1052]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1648, input2_id=1644, input3_id=232, output_id=1649, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6191690Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1053]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1650, input2_id=1645, input3_id=224, output_id=1651, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6192560Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1054]: MPSNode(mpsnode_union=MPSView(input1_id=1647, output_id=1652, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6193640Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1055]: MPSNode(mpsnode_union=MPSView(input1_id=1649, output_id=1653, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6194490Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1056]: MPSNode(mpsnode_union=MPSView(input1_id=1651, output_id=1654, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6195250Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1057]: MPSNode(mpsnode_union=MPSMul(input1_id=1652, input2_id=1655, output_id=1656), min_max=None) 2025-06-05T19:09:25.6196010Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1058]: MPSNode(mpsnode_union=MPSMul(input1_id=1653, input2_id=1657, output_id=1658), min_max=None) 2025-06-05T19:09:25.6196880Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1059]: MPSNode(mpsnode_union=MPSView(input1_id=1654, output_id=1659, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6197700Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1060]: MPSNode(mpsnode_union=MPSAdd(input1_id=1656, input2_id=1660, output_id=1661, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6198520Z [INFO 2025-06-05 19:09:25,570 mps_preprocess.py:288] [1061]: MPSNode(mpsnode_union=MPSAdd(input1_id=1658, input2_id=1662, output_id=1663, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6199390Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1062]: MPSNode(mpsnode_union=MPSPermute(input1_id=1659, output_id=1664, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6200210Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1063]: MPSNode(mpsnode_union=MPSView(input1_id=1663, output_id=1665, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6201040Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1064]: MPSNode(mpsnode_union=MPSView(input1_id=1663, output_id=1666, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6202050Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1065]: MPSNode(mpsnode_union=MPSExpand(input1_id=1664, output_id=1667, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6203040Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1066]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1668, input2_id=1665, input3_id=220, output_id=1669, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6204000Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1067]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1670, input2_id=1666, input3_id=222, output_id=1671, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6204830Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1068]: MPSNode(mpsnode_union=MPSView(input1_id=1667, output_id=1672, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6205940Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1069]: MPSNode(mpsnode_union=MPSView(input1_id=1669, output_id=1673, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6206780Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1070]: MPSNode(mpsnode_union=MPSView(input1_id=1671, output_id=1674, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6207630Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1071]: MPSNode(mpsnode_union=MPSView(input1_id=1673, output_id=1675, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6208480Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1072]: MPSNode(mpsnode_union=MPSView(input1_id=1674, output_id=1676, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6209330Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1073]: MPSNode(mpsnode_union=MPSPermute(input1_id=1675, output_id=1677, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6210370Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1074]: MPSNode(mpsnode_union=MPSPermute(input1_id=1676, output_id=1678, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6211430Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1075]: MPSNode(mpsnode_union=MPSExpand(input1_id=1677, output_id=1679, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6212290Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1076]: MPSNode(mpsnode_union=MPSPermute(input1_id=1678, output_id=1680, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6213130Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1077]: MPSNode(mpsnode_union=MPSView(input1_id=1679, output_id=1681, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6214010Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1078]: MPSNode(mpsnode_union=MPSExpand(input1_id=1680, output_id=1682, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6214860Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1079]: MPSNode(mpsnode_union=MPSView(input1_id=1682, output_id=1683, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6215670Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1080]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1681, input2_id=1683, output_id=1684), min_max=None) 2025-06-05T19:09:25.6216520Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1081]: MPSNode(mpsnode_union=MPSView(input1_id=1684, output_id=1685, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6217130Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1082]: MPSNode(mpsnode_union=MPSDiv(input1_id=1685, input2_id=1686, output_id=1687, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6217470Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1083]: MPSNode(mpsnode_union=MPSAdd(input1_id=1687, input2_id=743, output_id=1688, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6217810Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1084]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1688, output_id=1689, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6218230Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1085]: MPSNode(mpsnode_union=MPSExpand(input1_id=1689, output_id=1690, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6218550Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1086]: MPSNode(mpsnode_union=MPSView(input1_id=1690, output_id=1691, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6218870Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1087]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1691, input2_id=1672, output_id=1692), min_max=None) 2025-06-05T19:09:25.6219200Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1088]: MPSNode(mpsnode_union=MPSView(input1_id=1692, output_id=1693, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6219530Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1089]: MPSNode(mpsnode_union=MPSPermute(input1_id=1693, output_id=1694, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6219960Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1090]: MPSNode(mpsnode_union=MPSView(input1_id=1694, output_id=1695, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6220260Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1091]: MPSNode(mpsnode_union=MPSView(input1_id=1695, output_id=1696, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6220620Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1092]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1697, input2_id=1696, input3_id=218, output_id=1698, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6220920Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1093]: MPSNode(mpsnode_union=MPSView(input1_id=1698, output_id=1699, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6221310Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1094]: MPSNode(mpsnode_union=MPSAdd(input1_id=1699, input2_id=1661, output_id=1700, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6221610Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1095]: MPSNode(mpsnode_union=MPSMul(input1_id=1700, input2_id=1701, output_id=1702), min_max=None) 2025-06-05T19:09:25.6221990Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1096]: MPSNode(mpsnode_union=MPSAdd(input1_id=1702, input2_id=1703, output_id=1704, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6222290Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1097]: MPSNode(mpsnode_union=MPSView(input1_id=1704, output_id=1705, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6222650Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1098]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1706, input2_id=1705, input3_id=236, output_id=1707, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6222960Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1099]: MPSNode(mpsnode_union=MPSView(input1_id=1707, output_id=1708, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6223220Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1100]: MPSNode(mpsnode_union=MPSReLU(input1_id=1708, output_id=1709), min_max=None) 2025-06-05T19:09:25.6223520Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1101]: MPSNode(mpsnode_union=MPSView(input1_id=1709, output_id=1710, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6223870Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1102]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1711, input2_id=1710, input3_id=234, output_id=1712, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6224180Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1103]: MPSNode(mpsnode_union=MPSView(input1_id=1712, output_id=1713, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6224480Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1104]: MPSNode(mpsnode_union=MPSAdd(input1_id=1713, input2_id=1704, output_id=1714, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6224760Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1105]: MPSNode(mpsnode_union=MPSMul(input1_id=1714, input2_id=1715, output_id=1716), min_max=None) 2025-06-05T19:09:25.6225090Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1106]: MPSNode(mpsnode_union=MPSAdd(input1_id=1716, input2_id=1717, output_id=1718, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6225400Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1107]: MPSNode(mpsnode_union=MPSView(input1_id=1718, output_id=1719, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6225760Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1108]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1720, input2_id=1719, input3_id=240, output_id=1721, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6226060Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1109]: MPSNode(mpsnode_union=MPSView(input1_id=1721, output_id=1722, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6226380Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1110]: MPSNode(mpsnode_union=MPSReLU(input1_id=1722, output_id=1723), min_max=None) 2025-06-05T19:09:25.6226690Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1111]: MPSNode(mpsnode_union=MPSView(input1_id=1723, output_id=1724, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6227040Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1112]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1725, input2_id=1724, input3_id=238, output_id=1726, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6227350Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1113]: MPSNode(mpsnode_union=MPSView(input1_id=1726, output_id=1727, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6227660Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1114]: MPSNode(mpsnode_union=MPSAdd(input1_id=1727, input2_id=1718, output_id=1728, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6228010Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1115]: MPSNode(mpsnode_union=MPSMul(input1_id=1728, input2_id=1729, output_id=1730), min_max=None) 2025-06-05T19:09:25.6228320Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1116]: MPSNode(mpsnode_union=MPSAdd(input1_id=1730, input2_id=1731, output_id=1732, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6228690Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1117]: MPSNode(mpsnode_union=MPSView(input1_id=1732, output_id=1733, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6236920Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1118]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1734, input2_id=1733, input3_id=244, output_id=1735, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6237260Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1119]: MPSNode(mpsnode_union=MPSView(input1_id=1735, output_id=1736, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6237510Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1120]: MPSNode(mpsnode_union=MPSReLU(input1_id=1736, output_id=1737), min_max=None) 2025-06-05T19:09:25.6237820Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1121]: MPSNode(mpsnode_union=MPSView(input1_id=1737, output_id=1738, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6238180Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1122]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1739, input2_id=1738, input3_id=242, output_id=1740, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6238480Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1123]: MPSNode(mpsnode_union=MPSView(input1_id=1740, output_id=1741, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6238780Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1124]: MPSNode(mpsnode_union=MPSAdd(input1_id=1741, input2_id=1732, output_id=1742, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6239060Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1125]: MPSNode(mpsnode_union=MPSMul(input1_id=1742, input2_id=1743, output_id=1744), min_max=None) 2025-06-05T19:09:25.6239400Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1126]: MPSNode(mpsnode_union=MPSAdd(input1_id=1744, input2_id=1745, output_id=1746, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6239710Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1127]: MPSNode(mpsnode_union=MPSView(input1_id=1746, output_id=1747, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6240060Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1128]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1748, input2_id=1747, input3_id=246, output_id=1749, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6240360Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1129]: MPSNode(mpsnode_union=MPSView(input1_id=1749, output_id=1750, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6240640Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1130]: MPSNode(mpsnode_union=MPSReLU(input1_id=1750, output_id=1751), min_max=None) 2025-06-05T19:09:25.6241020Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1131]: MPSNode(mpsnode_union=MPSView(input1_id=1751, output_id=1752, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6241370Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1132]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1753, input2_id=1752, input3_id=228, output_id=1754, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6241680Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1133]: MPSNode(mpsnode_union=MPSView(input1_id=1754, output_id=1755, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6241980Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1134]: MPSNode(mpsnode_union=MPSAdd(input1_id=1755, input2_id=1746, output_id=1756, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6242330Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1135]: MPSNode(mpsnode_union=MPSMul(input1_id=1756, input2_id=1757, output_id=1758), min_max=None) 2025-06-05T19:09:25.6242640Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1136]: MPSNode(mpsnode_union=MPSAdd(input1_id=1758, input2_id=1759, output_id=1760, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6243030Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1137]: MPSNode(mpsnode_union=MPSView(input1_id=1760, output_id=1761, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6243400Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1138]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1762, input2_id=1761, input3_id=226, output_id=1763, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6243700Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1139]: MPSNode(mpsnode_union=MPSView(input1_id=1763, output_id=1764, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6244000Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1140]: MPSNode(mpsnode_union=MPSAdd(input1_id=1764, input2_id=1642, output_id=1765, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6244280Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1141]: MPSNode(mpsnode_union=MPSMul(input1_id=1765, input2_id=1766, output_id=1767), min_max=None) 2025-06-05T19:09:25.6244590Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1142]: MPSNode(mpsnode_union=MPSAdd(input1_id=1767, input2_id=1768, output_id=1769, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6244890Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1143]: MPSNode(mpsnode_union=MPSView(input1_id=1769, output_id=1770, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6245190Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1144]: MPSNode(mpsnode_union=MPSView(input1_id=1769, output_id=1771, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6245490Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1145]: MPSNode(mpsnode_union=MPSView(input1_id=1769, output_id=1772, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6245850Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1146]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1773, input2_id=1770, input3_id=260, output_id=1774, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6246230Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1147]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1775, input2_id=1771, input3_id=262, output_id=1776, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6246600Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1148]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1777, input2_id=1772, input3_id=254, output_id=1778, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6246900Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1149]: MPSNode(mpsnode_union=MPSView(input1_id=1774, output_id=1779, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6247210Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1150]: MPSNode(mpsnode_union=MPSView(input1_id=1776, output_id=1780, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6247610Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1151]: MPSNode(mpsnode_union=MPSView(input1_id=1778, output_id=1781, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6247890Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1152]: MPSNode(mpsnode_union=MPSMul(input1_id=1779, input2_id=1782, output_id=1783), min_max=None) 2025-06-05T19:09:25.6248170Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1153]: MPSNode(mpsnode_union=MPSMul(input1_id=1780, input2_id=1784, output_id=1785), min_max=None) 2025-06-05T19:09:25.6248490Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1154]: MPSNode(mpsnode_union=MPSView(input1_id=1781, output_id=1786, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6248780Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1155]: MPSNode(mpsnode_union=MPSAdd(input1_id=1783, input2_id=1787, output_id=1788, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6249140Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1156]: MPSNode(mpsnode_union=MPSAdd(input1_id=1785, input2_id=1789, output_id=1790, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6249500Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1157]: MPSNode(mpsnode_union=MPSPermute(input1_id=1786, output_id=1791, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6249800Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1158]: MPSNode(mpsnode_union=MPSView(input1_id=1790, output_id=1792, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6250090Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1159]: MPSNode(mpsnode_union=MPSView(input1_id=1790, output_id=1793, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6250410Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1160]: MPSNode(mpsnode_union=MPSExpand(input1_id=1791, output_id=1794, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6250770Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1161]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1795, input2_id=1792, input3_id=250, output_id=1796, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6251120Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1162]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1797, input2_id=1793, input3_id=252, output_id=1798, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6251430Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1163]: MPSNode(mpsnode_union=MPSView(input1_id=1794, output_id=1799, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6251740Z [INFO 2025-06-05 19:09:25,571 mps_preprocess.py:288] [1164]: MPSNode(mpsnode_union=MPSView(input1_id=1796, output_id=1800, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6252050Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1165]: MPSNode(mpsnode_union=MPSView(input1_id=1798, output_id=1801, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6252370Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1166]: MPSNode(mpsnode_union=MPSView(input1_id=1800, output_id=1802, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6252720Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1167]: MPSNode(mpsnode_union=MPSView(input1_id=1801, output_id=1803, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6253040Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1168]: MPSNode(mpsnode_union=MPSPermute(input1_id=1802, output_id=1804, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6253360Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1169]: MPSNode(mpsnode_union=MPSPermute(input1_id=1803, output_id=1805, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6253680Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1170]: MPSNode(mpsnode_union=MPSExpand(input1_id=1804, output_id=1806, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6254060Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1171]: MPSNode(mpsnode_union=MPSPermute(input1_id=1805, output_id=1807, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6254370Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1172]: MPSNode(mpsnode_union=MPSView(input1_id=1806, output_id=1808, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6254690Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1173]: MPSNode(mpsnode_union=MPSExpand(input1_id=1807, output_id=1809, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6254980Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1174]: MPSNode(mpsnode_union=MPSView(input1_id=1809, output_id=1810, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6255280Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1175]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1808, input2_id=1810, output_id=1811), min_max=None) 2025-06-05T19:09:25.6255690Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1176]: MPSNode(mpsnode_union=MPSView(input1_id=1811, output_id=1812, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6256010Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1177]: MPSNode(mpsnode_union=MPSDiv(input1_id=1812, input2_id=1813, output_id=1814, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6256390Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1178]: MPSNode(mpsnode_union=MPSAdd(input1_id=1814, input2_id=743, output_id=1815, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6256710Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1179]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1815, output_id=1816, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6257030Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1180]: MPSNode(mpsnode_union=MPSExpand(input1_id=1816, output_id=1817, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6257350Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1181]: MPSNode(mpsnode_union=MPSView(input1_id=1817, output_id=1818, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6257640Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1182]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1818, input2_id=1799, output_id=1819), min_max=None) 2025-06-05T19:09:25.6257960Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1183]: MPSNode(mpsnode_union=MPSView(input1_id=1819, output_id=1820, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6258290Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1184]: MPSNode(mpsnode_union=MPSPermute(input1_id=1820, output_id=1821, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6258590Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1185]: MPSNode(mpsnode_union=MPSView(input1_id=1821, output_id=1822, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6258890Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1186]: MPSNode(mpsnode_union=MPSView(input1_id=1822, output_id=1823, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6259270Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1187]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1824, input2_id=1823, input3_id=248, output_id=1825, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6259580Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1188]: MPSNode(mpsnode_union=MPSView(input1_id=1825, output_id=1826, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6259880Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1189]: MPSNode(mpsnode_union=MPSAdd(input1_id=1826, input2_id=1788, output_id=1827, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6260150Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1190]: MPSNode(mpsnode_union=MPSMul(input1_id=1827, input2_id=1828, output_id=1829), min_max=None) 2025-06-05T19:09:25.6260450Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1191]: MPSNode(mpsnode_union=MPSAdd(input1_id=1829, input2_id=1830, output_id=1831, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6260810Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1192]: MPSNode(mpsnode_union=MPSView(input1_id=1831, output_id=1832, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6261170Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1193]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1833, input2_id=1832, input3_id=266, output_id=1834, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6261490Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1194]: MPSNode(mpsnode_union=MPSView(input1_id=1834, output_id=1835, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6261750Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1195]: MPSNode(mpsnode_union=MPSReLU(input1_id=1835, output_id=1836), min_max=None) 2025-06-05T19:09:25.6262110Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1196]: MPSNode(mpsnode_union=MPSView(input1_id=1836, output_id=1837, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6262480Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1197]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1838, input2_id=1837, input3_id=264, output_id=1839, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6262860Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1198]: MPSNode(mpsnode_union=MPSView(input1_id=1839, output_id=1840, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6263160Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1199]: MPSNode(mpsnode_union=MPSAdd(input1_id=1840, input2_id=1831, output_id=1841, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6263440Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1200]: MPSNode(mpsnode_union=MPSMul(input1_id=1841, input2_id=1842, output_id=1843), min_max=None) 2025-06-05T19:09:25.6263740Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1201]: MPSNode(mpsnode_union=MPSAdd(input1_id=1843, input2_id=1844, output_id=1845, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6264040Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1202]: MPSNode(mpsnode_union=MPSView(input1_id=1845, output_id=1846, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6264390Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1203]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1847, input2_id=1846, input3_id=270, output_id=1848, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6264690Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1204]: MPSNode(mpsnode_union=MPSView(input1_id=1848, output_id=1849, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6264950Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1205]: MPSNode(mpsnode_union=MPSReLU(input1_id=1849, output_id=1850), min_max=None) 2025-06-05T19:09:25.6265240Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1206]: MPSNode(mpsnode_union=MPSView(input1_id=1850, output_id=1851, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6265600Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1207]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1852, input2_id=1851, input3_id=268, output_id=1853, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6265940Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1208]: MPSNode(mpsnode_union=MPSView(input1_id=1853, output_id=1854, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6266250Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1209]: MPSNode(mpsnode_union=MPSAdd(input1_id=1854, input2_id=1845, output_id=1855, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6266520Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1210]: MPSNode(mpsnode_union=MPSMul(input1_id=1855, input2_id=1856, output_id=1857), min_max=None) 2025-06-05T19:09:25.6266820Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1211]: MPSNode(mpsnode_union=MPSAdd(input1_id=1857, input2_id=1858, output_id=1859, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6267180Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1212]: MPSNode(mpsnode_union=MPSView(input1_id=1859, output_id=1860, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6267540Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1213]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1861, input2_id=1860, input3_id=274, output_id=1862, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6267850Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1214]: MPSNode(mpsnode_union=MPSView(input1_id=1862, output_id=1863, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6268100Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1215]: MPSNode(mpsnode_union=MPSReLU(input1_id=1863, output_id=1864), min_max=None) 2025-06-05T19:09:25.6268390Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1216]: MPSNode(mpsnode_union=MPSView(input1_id=1864, output_id=1865, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6268820Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1217]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1866, input2_id=1865, input3_id=272, output_id=1867, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6269120Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1218]: MPSNode(mpsnode_union=MPSView(input1_id=1867, output_id=1868, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6269500Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1219]: MPSNode(mpsnode_union=MPSAdd(input1_id=1868, input2_id=1859, output_id=1869, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6269770Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1220]: MPSNode(mpsnode_union=MPSMul(input1_id=1869, input2_id=1870, output_id=1871), min_max=None) 2025-06-05T19:09:25.6270070Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1221]: MPSNode(mpsnode_union=MPSAdd(input1_id=1871, input2_id=1872, output_id=1873, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6270370Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1222]: MPSNode(mpsnode_union=MPSView(input1_id=1873, output_id=1874, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6270720Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1223]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1875, input2_id=1874, input3_id=276, output_id=1876, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6271060Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1224]: MPSNode(mpsnode_union=MPSView(input1_id=1876, output_id=1877, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6271320Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1225]: MPSNode(mpsnode_union=MPSReLU(input1_id=1877, output_id=1878), min_max=None) 2025-06-05T19:09:25.6271610Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1226]: MPSNode(mpsnode_union=MPSView(input1_id=1878, output_id=1879, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6271990Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1227]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1880, input2_id=1879, input3_id=258, output_id=1881, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6272360Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1228]: MPSNode(mpsnode_union=MPSView(input1_id=1881, output_id=1882, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6272660Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1229]: MPSNode(mpsnode_union=MPSAdd(input1_id=1882, input2_id=1873, output_id=1883, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6272930Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1230]: MPSNode(mpsnode_union=MPSMul(input1_id=1883, input2_id=1884, output_id=1885), min_max=None) 2025-06-05T19:09:25.6273230Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1231]: MPSNode(mpsnode_union=MPSAdd(input1_id=1885, input2_id=1886, output_id=1887, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6273520Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1232]: MPSNode(mpsnode_union=MPSView(input1_id=1887, output_id=1888, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6273960Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1233]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1889, input2_id=1888, input3_id=256, output_id=1890, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6274270Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1234]: MPSNode(mpsnode_union=MPSView(input1_id=1890, output_id=1891, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6274560Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1235]: MPSNode(mpsnode_union=MPSAdd(input1_id=1891, input2_id=1769, output_id=1892, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6274830Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1236]: MPSNode(mpsnode_union=MPSMul(input1_id=1892, input2_id=1893, output_id=1894), min_max=None) 2025-06-05T19:09:25.6275190Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1237]: MPSNode(mpsnode_union=MPSAdd(input1_id=1894, input2_id=1895, output_id=1896, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6275480Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1238]: MPSNode(mpsnode_union=MPSView(input1_id=1896, output_id=1897, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6275880Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1239]: MPSNode(mpsnode_union=MPSView(input1_id=1896, output_id=1898, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6276170Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1240]: MPSNode(mpsnode_union=MPSView(input1_id=1896, output_id=1899, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6276520Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1241]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1900, input2_id=1897, input3_id=290, output_id=1901, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6276870Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1242]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1902, input2_id=1898, input3_id=292, output_id=1903, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6277220Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1243]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1904, input2_id=1899, input3_id=284, output_id=1905, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6277530Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1244]: MPSNode(mpsnode_union=MPSView(input1_id=1901, output_id=1906, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6277830Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1245]: MPSNode(mpsnode_union=MPSView(input1_id=1903, output_id=1907, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6278280Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1246]: MPSNode(mpsnode_union=MPSView(input1_id=1905, output_id=1908, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6278560Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1247]: MPSNode(mpsnode_union=MPSMul(input1_id=1906, input2_id=1909, output_id=1910), min_max=None) 2025-06-05T19:09:25.6278840Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1248]: MPSNode(mpsnode_union=MPSMul(input1_id=1907, input2_id=1911, output_id=1912), min_max=None) 2025-06-05T19:09:25.6279190Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1249]: MPSNode(mpsnode_union=MPSView(input1_id=1908, output_id=1913, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6279480Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1250]: MPSNode(mpsnode_union=MPSAdd(input1_id=1910, input2_id=1914, output_id=1915, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6279780Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1251]: MPSNode(mpsnode_union=MPSAdd(input1_id=1912, input2_id=1916, output_id=1917, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6280090Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1252]: MPSNode(mpsnode_union=MPSPermute(input1_id=1913, output_id=1918, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6280450Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1253]: MPSNode(mpsnode_union=MPSView(input1_id=1917, output_id=1919, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6280750Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1254]: MPSNode(mpsnode_union=MPSView(input1_id=1917, output_id=1920, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6281070Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1255]: MPSNode(mpsnode_union=MPSExpand(input1_id=1918, output_id=1921, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6281410Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1256]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1922, input2_id=1919, input3_id=280, output_id=1923, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6281830Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1257]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1924, input2_id=1920, input3_id=282, output_id=1925, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6282140Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1258]: MPSNode(mpsnode_union=MPSView(input1_id=1921, output_id=1926, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6282510Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1259]: MPSNode(mpsnode_union=MPSView(input1_id=1923, output_id=1927, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6282830Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1260]: MPSNode(mpsnode_union=MPSView(input1_id=1925, output_id=1928, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6283130Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1261]: MPSNode(mpsnode_union=MPSView(input1_id=1927, output_id=1929, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6283440Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1262]: MPSNode(mpsnode_union=MPSView(input1_id=1928, output_id=1930, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6283750Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1263]: MPSNode(mpsnode_union=MPSPermute(input1_id=1929, output_id=1931, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6284070Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1264]: MPSNode(mpsnode_union=MPSPermute(input1_id=1930, output_id=1932, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6284380Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1265]: MPSNode(mpsnode_union=MPSExpand(input1_id=1931, output_id=1933, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6284690Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1266]: MPSNode(mpsnode_union=MPSPermute(input1_id=1932, output_id=1934, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6284990Z [INFO 2025-06-05 19:09:25,572 mps_preprocess.py:288] [1267]: MPSNode(mpsnode_union=MPSView(input1_id=1933, output_id=1935, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6285320Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1268]: MPSNode(mpsnode_union=MPSExpand(input1_id=1934, output_id=1936, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6285650Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1269]: MPSNode(mpsnode_union=MPSView(input1_id=1936, output_id=1937, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6285940Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1270]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1935, input2_id=1937, output_id=1938), min_max=None) 2025-06-05T19:09:25.6286250Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1271]: MPSNode(mpsnode_union=MPSView(input1_id=1938, output_id=1939, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6286560Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1272]: MPSNode(mpsnode_union=MPSDiv(input1_id=1939, input2_id=1940, output_id=1941, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6286920Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1273]: MPSNode(mpsnode_union=MPSAdd(input1_id=1941, input2_id=743, output_id=1942, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6287230Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1274]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=1942, output_id=1943, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6287540Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1275]: MPSNode(mpsnode_union=MPSExpand(input1_id=1943, output_id=1944, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6287840Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1276]: MPSNode(mpsnode_union=MPSView(input1_id=1944, output_id=1945, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6288130Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1277]: MPSNode(mpsnode_union=MPSMatMul(input1_id=1945, input2_id=1926, output_id=1946), min_max=None) 2025-06-05T19:09:25.6288490Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1278]: MPSNode(mpsnode_union=MPSView(input1_id=1946, output_id=1947, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6288820Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1279]: MPSNode(mpsnode_union=MPSPermute(input1_id=1947, output_id=1948, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6289170Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1280]: MPSNode(mpsnode_union=MPSView(input1_id=1948, output_id=1949, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6289470Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1281]: MPSNode(mpsnode_union=MPSView(input1_id=1949, output_id=1950, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6289810Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1282]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1951, input2_id=1950, input3_id=278, output_id=1952, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6290120Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1283]: MPSNode(mpsnode_union=MPSView(input1_id=1952, output_id=1953, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6290410Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1284]: MPSNode(mpsnode_union=MPSAdd(input1_id=1953, input2_id=1915, output_id=1954, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6290690Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1285]: MPSNode(mpsnode_union=MPSMul(input1_id=1954, input2_id=1955, output_id=1956), min_max=None) 2025-06-05T19:09:25.6290980Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1286]: MPSNode(mpsnode_union=MPSAdd(input1_id=1956, input2_id=1957, output_id=1958, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6291270Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1287]: MPSNode(mpsnode_union=MPSView(input1_id=1958, output_id=1959, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6291620Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1288]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1960, input2_id=1959, input3_id=296, output_id=1961, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6291960Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1289]: MPSNode(mpsnode_union=MPSView(input1_id=1961, output_id=1962, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6292210Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1290]: MPSNode(mpsnode_union=MPSReLU(input1_id=1962, output_id=1963), min_max=None) 2025-06-05T19:09:25.6292510Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1291]: MPSNode(mpsnode_union=MPSView(input1_id=1963, output_id=1964, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6292860Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1292]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1965, input2_id=1964, input3_id=294, output_id=1966, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6293170Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1293]: MPSNode(mpsnode_union=MPSView(input1_id=1966, output_id=1967, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6293520Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1294]: MPSNode(mpsnode_union=MPSAdd(input1_id=1967, input2_id=1958, output_id=1968, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6293800Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1295]: MPSNode(mpsnode_union=MPSMul(input1_id=1968, input2_id=1969, output_id=1970), min_max=None) 2025-06-05T19:09:25.6294080Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1296]: MPSNode(mpsnode_union=MPSAdd(input1_id=1970, input2_id=1971, output_id=1972, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6294370Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1297]: MPSNode(mpsnode_union=MPSView(input1_id=1972, output_id=1973, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6294790Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1298]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1974, input2_id=1973, input3_id=300, output_id=1975, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6295100Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1299]: MPSNode(mpsnode_union=MPSView(input1_id=1975, output_id=1976, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6295440Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1300]: MPSNode(mpsnode_union=MPSReLU(input1_id=1976, output_id=1977), min_max=None) 2025-06-05T19:09:25.6295730Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1301]: MPSNode(mpsnode_union=MPSView(input1_id=1977, output_id=1978, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6296070Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1302]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1979, input2_id=1978, input3_id=298, output_id=1980, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6296370Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1303]: MPSNode(mpsnode_union=MPSView(input1_id=1980, output_id=1981, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6296660Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1304]: MPSNode(mpsnode_union=MPSAdd(input1_id=1981, input2_id=1972, output_id=1982, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6296930Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1305]: MPSNode(mpsnode_union=MPSMul(input1_id=1982, input2_id=1983, output_id=1984), min_max=None) 2025-06-05T19:09:25.6297220Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1306]: MPSNode(mpsnode_union=MPSAdd(input1_id=1984, input2_id=1985, output_id=1986, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6297510Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1307]: MPSNode(mpsnode_union=MPSView(input1_id=1986, output_id=1987, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6297860Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1308]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1988, input2_id=1987, input3_id=304, output_id=1989, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6298160Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1309]: MPSNode(mpsnode_union=MPSView(input1_id=1989, output_id=1990, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6298420Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1310]: MPSNode(mpsnode_union=MPSReLU(input1_id=1990, output_id=1991), min_max=None) 2025-06-05T19:09:25.6298710Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1311]: MPSNode(mpsnode_union=MPSView(input1_id=1991, output_id=1992, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6299050Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1312]: MPSNode(mpsnode_union=MPSAddmm(input1_id=1993, input2_id=1992, input3_id=302, output_id=1994, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6299350Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1313]: MPSNode(mpsnode_union=MPSView(input1_id=1994, output_id=1995, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6299700Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1314]: MPSNode(mpsnode_union=MPSAdd(input1_id=1995, input2_id=1986, output_id=1996, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6299970Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1315]: MPSNode(mpsnode_union=MPSMul(input1_id=1996, input2_id=1997, output_id=1998), min_max=None) 2025-06-05T19:09:25.6300260Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1316]: MPSNode(mpsnode_union=MPSAdd(input1_id=1998, input2_id=1999, output_id=2000, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6300550Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1317]: MPSNode(mpsnode_union=MPSView(input1_id=2000, output_id=2001, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6300890Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1318]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2002, input2_id=2001, input3_id=306, output_id=2003, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6301240Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1319]: MPSNode(mpsnode_union=MPSView(input1_id=2003, output_id=2004, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6301480Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1320]: MPSNode(mpsnode_union=MPSReLU(input1_id=2004, output_id=2005), min_max=None) 2025-06-05T19:09:25.6301830Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1321]: MPSNode(mpsnode_union=MPSView(input1_id=2005, output_id=2006, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6302160Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1322]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2007, input2_id=2006, input3_id=288, output_id=2008, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6302450Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1323]: MPSNode(mpsnode_union=MPSView(input1_id=2008, output_id=2009, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6302740Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1324]: MPSNode(mpsnode_union=MPSAdd(input1_id=2009, input2_id=2000, output_id=2010, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6303010Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1325]: MPSNode(mpsnode_union=MPSMul(input1_id=2010, input2_id=2011, output_id=2012), min_max=None) 2025-06-05T19:09:25.6303300Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1326]: MPSNode(mpsnode_union=MPSAdd(input1_id=2012, input2_id=2013, output_id=2014, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6303580Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1327]: MPSNode(mpsnode_union=MPSView(input1_id=2014, output_id=2015, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6303920Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1328]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2016, input2_id=2015, input3_id=286, output_id=2017, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6304220Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1329]: MPSNode(mpsnode_union=MPSView(input1_id=2017, output_id=2018, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6304540Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1330]: MPSNode(mpsnode_union=MPSAdd(input1_id=2018, input2_id=1896, output_id=2019, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6304810Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1331]: MPSNode(mpsnode_union=MPSMul(input1_id=2019, input2_id=2020, output_id=2021), min_max=None) 2025-06-05T19:09:25.6305100Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1332]: MPSNode(mpsnode_union=MPSAdd(input1_id=2021, input2_id=2022, output_id=2023, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6305390Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1333]: MPSNode(mpsnode_union=MPSView(input1_id=2023, output_id=2024, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6305670Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1334]: MPSNode(mpsnode_union=MPSView(input1_id=2023, output_id=2025, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6306040Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1335]: MPSNode(mpsnode_union=MPSView(input1_id=2023, output_id=2026, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6306380Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1336]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2027, input2_id=2024, input3_id=320, output_id=2028, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6306720Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1337]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2029, input2_id=2025, input3_id=322, output_id=2030, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6307060Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1338]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2031, input2_id=2026, input3_id=314, output_id=2032, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6307420Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1339]: MPSNode(mpsnode_union=MPSView(input1_id=2028, output_id=2033, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6307720Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1340]: MPSNode(mpsnode_union=MPSView(input1_id=2030, output_id=2034, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6308080Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1341]: MPSNode(mpsnode_union=MPSView(input1_id=2032, output_id=2035, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6308350Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1342]: MPSNode(mpsnode_union=MPSMul(input1_id=2033, input2_id=2036, output_id=2037), min_max=None) 2025-06-05T19:09:25.6308610Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1343]: MPSNode(mpsnode_union=MPSMul(input1_id=2034, input2_id=2038, output_id=2039), min_max=None) 2025-06-05T19:09:25.6308910Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1344]: MPSNode(mpsnode_union=MPSView(input1_id=2035, output_id=2040, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6309200Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1345]: MPSNode(mpsnode_union=MPSAdd(input1_id=2037, input2_id=2041, output_id=2042, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6309490Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1346]: MPSNode(mpsnode_union=MPSAdd(input1_id=2039, input2_id=2043, output_id=2044, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6309790Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1347]: MPSNode(mpsnode_union=MPSPermute(input1_id=2040, output_id=2045, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6310080Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1348]: MPSNode(mpsnode_union=MPSView(input1_id=2044, output_id=2046, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6310360Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1349]: MPSNode(mpsnode_union=MPSView(input1_id=2044, output_id=2047, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6310670Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1350]: MPSNode(mpsnode_union=MPSExpand(input1_id=2045, output_id=2048, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6311030Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1351]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2049, input2_id=2046, input3_id=310, output_id=2050, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6311380Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1352]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2051, input2_id=2047, input3_id=312, output_id=2052, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6311670Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1353]: MPSNode(mpsnode_union=MPSView(input1_id=2048, output_id=2053, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6311970Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1354]: MPSNode(mpsnode_union=MPSView(input1_id=2050, output_id=2054, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6312350Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1355]: MPSNode(mpsnode_union=MPSView(input1_id=2052, output_id=2055, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6312650Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1356]: MPSNode(mpsnode_union=MPSView(input1_id=2054, output_id=2056, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6312940Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1357]: MPSNode(mpsnode_union=MPSView(input1_id=2055, output_id=2057, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6313250Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1358]: MPSNode(mpsnode_union=MPSPermute(input1_id=2056, output_id=2058, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6313610Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1359]: MPSNode(mpsnode_union=MPSPermute(input1_id=2057, output_id=2059, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6313920Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1360]: MPSNode(mpsnode_union=MPSExpand(input1_id=2058, output_id=2060, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6314270Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1361]: MPSNode(mpsnode_union=MPSPermute(input1_id=2059, output_id=2061, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6314560Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1362]: MPSNode(mpsnode_union=MPSView(input1_id=2060, output_id=2062, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6314860Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1363]: MPSNode(mpsnode_union=MPSExpand(input1_id=2061, output_id=2063, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6315150Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1364]: MPSNode(mpsnode_union=MPSView(input1_id=2063, output_id=2064, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6315430Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1365]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2062, input2_id=2064, output_id=2065), min_max=None) 2025-06-05T19:09:25.6315720Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1366]: MPSNode(mpsnode_union=MPSView(input1_id=2065, output_id=2066, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6316020Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1367]: MPSNode(mpsnode_union=MPSDiv(input1_id=2066, input2_id=2067, output_id=2068, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6316300Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1368]: MPSNode(mpsnode_union=MPSAdd(input1_id=2068, input2_id=743, output_id=2069, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6316600Z [INFO 2025-06-05 19:09:25,573 mps_preprocess.py:288] [1369]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2069, output_id=2070, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6316900Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1370]: MPSNode(mpsnode_union=MPSExpand(input1_id=2070, output_id=2071, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6317220Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1371]: MPSNode(mpsnode_union=MPSView(input1_id=2071, output_id=2072, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6317500Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1372]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2072, input2_id=2053, output_id=2073), min_max=None) 2025-06-05T19:09:25.6317790Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1373]: MPSNode(mpsnode_union=MPSView(input1_id=2073, output_id=2074, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6318090Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1374]: MPSNode(mpsnode_union=MPSPermute(input1_id=2074, output_id=2075, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6318440Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1375]: MPSNode(mpsnode_union=MPSView(input1_id=2075, output_id=2076, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6318720Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1376]: MPSNode(mpsnode_union=MPSView(input1_id=2076, output_id=2077, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6319060Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1377]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2078, input2_id=2077, input3_id=308, output_id=2079, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6319350Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1378]: MPSNode(mpsnode_union=MPSView(input1_id=2079, output_id=2080, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6319630Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1379]: MPSNode(mpsnode_union=MPSAdd(input1_id=2080, input2_id=2042, output_id=2081, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6319940Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1380]: MPSNode(mpsnode_union=MPSMul(input1_id=2081, input2_id=2082, output_id=2083), min_max=None) 2025-06-05T19:09:25.6320230Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1381]: MPSNode(mpsnode_union=MPSAdd(input1_id=2083, input2_id=2084, output_id=2085, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6320580Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1382]: MPSNode(mpsnode_union=MPSView(input1_id=2085, output_id=2086, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6320910Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1383]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2087, input2_id=2086, input3_id=326, output_id=2088, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6321210Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1384]: MPSNode(mpsnode_union=MPSView(input1_id=2088, output_id=2089, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6321450Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1385]: MPSNode(mpsnode_union=MPSReLU(input1_id=2089, output_id=2090), min_max=None) 2025-06-05T19:09:25.6321730Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1386]: MPSNode(mpsnode_union=MPSView(input1_id=2090, output_id=2091, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6322080Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1387]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2092, input2_id=2091, input3_id=324, output_id=2093, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6322370Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1388]: MPSNode(mpsnode_union=MPSView(input1_id=2093, output_id=2094, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6322670Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1389]: MPSNode(mpsnode_union=MPSAdd(input1_id=2094, input2_id=2085, output_id=2095, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6322930Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1390]: MPSNode(mpsnode_union=MPSMul(input1_id=2095, input2_id=2096, output_id=2097), min_max=None) 2025-06-05T19:09:25.6323230Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1391]: MPSNode(mpsnode_union=MPSAdd(input1_id=2097, input2_id=2098, output_id=2099, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6323520Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1392]: MPSNode(mpsnode_union=MPSView(input1_id=2099, output_id=2100, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6323860Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1393]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2101, input2_id=2100, input3_id=330, output_id=2102, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6324160Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1394]: MPSNode(mpsnode_union=MPSView(input1_id=2102, output_id=2103, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6324400Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1395]: MPSNode(mpsnode_union=MPSReLU(input1_id=2103, output_id=2104), min_max=None) 2025-06-05T19:09:25.6324750Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1396]: MPSNode(mpsnode_union=MPSView(input1_id=2104, output_id=2105, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6325090Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1397]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2106, input2_id=2105, input3_id=328, output_id=2107, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6325390Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1398]: MPSNode(mpsnode_union=MPSView(input1_id=2107, output_id=2108, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6325670Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1399]: MPSNode(mpsnode_union=MPSAdd(input1_id=2108, input2_id=2099, output_id=2109, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6326000Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1400]: MPSNode(mpsnode_union=MPSMul(input1_id=2109, input2_id=2110, output_id=2111), min_max=None) 2025-06-05T19:09:25.6326290Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1401]: MPSNode(mpsnode_union=MPSAdd(input1_id=2111, input2_id=2112, output_id=2113, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6326640Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1402]: MPSNode(mpsnode_union=MPSView(input1_id=2113, output_id=2114, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6326980Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1403]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2115, input2_id=2114, input3_id=334, output_id=2116, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6327280Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1404]: MPSNode(mpsnode_union=MPSView(input1_id=2116, output_id=2117, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6327520Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1405]: MPSNode(mpsnode_union=MPSReLU(input1_id=2117, output_id=2118), min_max=None) 2025-06-05T19:09:25.6327810Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1406]: MPSNode(mpsnode_union=MPSView(input1_id=2118, output_id=2119, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6328150Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1407]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2120, input2_id=2119, input3_id=332, output_id=2121, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6328450Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1408]: MPSNode(mpsnode_union=MPSView(input1_id=2121, output_id=2122, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6328740Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1409]: MPSNode(mpsnode_union=MPSAdd(input1_id=2122, input2_id=2113, output_id=2123, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6329010Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1410]: MPSNode(mpsnode_union=MPSMul(input1_id=2123, input2_id=2124, output_id=2125), min_max=None) 2025-06-05T19:09:25.6329300Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1411]: MPSNode(mpsnode_union=MPSAdd(input1_id=2125, input2_id=2126, output_id=2127, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6329610Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1412]: MPSNode(mpsnode_union=MPSView(input1_id=2127, output_id=2128, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6329960Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1413]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2129, input2_id=2128, input3_id=336, output_id=2130, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6330260Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1414]: MPSNode(mpsnode_union=MPSView(input1_id=2130, output_id=2131, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6330500Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1415]: MPSNode(mpsnode_union=MPSReLU(input1_id=2131, output_id=2132), min_max=None) 2025-06-05T19:09:25.6330850Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1416]: MPSNode(mpsnode_union=MPSView(input1_id=2132, output_id=2133, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6331200Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1417]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2134, input2_id=2133, input3_id=318, output_id=2135, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6331500Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1418]: MPSNode(mpsnode_union=MPSView(input1_id=2135, output_id=2136, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6331780Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1419]: MPSNode(mpsnode_union=MPSAdd(input1_id=2136, input2_id=2127, output_id=2137, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6332050Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1420]: MPSNode(mpsnode_union=MPSMul(input1_id=2137, input2_id=2138, output_id=2139), min_max=None) 2025-06-05T19:09:25.6332410Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1421]: MPSNode(mpsnode_union=MPSAdd(input1_id=2139, input2_id=2140, output_id=2141, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6332700Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1422]: MPSNode(mpsnode_union=MPSView(input1_id=2141, output_id=2142, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6333090Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1423]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2143, input2_id=2142, input3_id=316, output_id=2144, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6333390Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1424]: MPSNode(mpsnode_union=MPSView(input1_id=2144, output_id=2145, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6333680Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1425]: MPSNode(mpsnode_union=MPSAdd(input1_id=2145, input2_id=2023, output_id=2146, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6333950Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1426]: MPSNode(mpsnode_union=MPSMul(input1_id=2146, input2_id=2147, output_id=2148), min_max=None) 2025-06-05T19:09:25.6334250Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1427]: MPSNode(mpsnode_union=MPSAdd(input1_id=2148, input2_id=2149, output_id=2150, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6334540Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1428]: MPSNode(mpsnode_union=MPSView(input1_id=2150, output_id=2151, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6334820Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1429]: MPSNode(mpsnode_union=MPSView(input1_id=2150, output_id=2152, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6335100Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1430]: MPSNode(mpsnode_union=MPSView(input1_id=2150, output_id=2153, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6335440Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1431]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2154, input2_id=2151, input3_id=350, output_id=2155, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6335810Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1432]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2156, input2_id=2152, input3_id=352, output_id=2157, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6336160Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1433]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2158, input2_id=2153, input3_id=344, output_id=2159, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6336460Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1434]: MPSNode(mpsnode_union=MPSView(input1_id=2155, output_id=2160, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6336750Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1435]: MPSNode(mpsnode_union=MPSView(input1_id=2157, output_id=2161, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6337040Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1436]: MPSNode(mpsnode_union=MPSView(input1_id=2159, output_id=2162, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6337360Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1437]: MPSNode(mpsnode_union=MPSMul(input1_id=2160, input2_id=2163, output_id=2164), min_max=None) 2025-06-05T19:09:25.6337630Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1438]: MPSNode(mpsnode_union=MPSMul(input1_id=2161, input2_id=2165, output_id=2166), min_max=None) 2025-06-05T19:09:25.6337930Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1439]: MPSNode(mpsnode_union=MPSView(input1_id=2162, output_id=2167, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6338220Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1440]: MPSNode(mpsnode_union=MPSAdd(input1_id=2164, input2_id=2168, output_id=2169, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6338560Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1441]: MPSNode(mpsnode_union=MPSAdd(input1_id=2166, input2_id=2170, output_id=2171, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6338870Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1442]: MPSNode(mpsnode_union=MPSPermute(input1_id=2167, output_id=2172, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6339200Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1443]: MPSNode(mpsnode_union=MPSView(input1_id=2171, output_id=2173, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6339490Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1444]: MPSNode(mpsnode_union=MPSView(input1_id=2171, output_id=2174, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6339790Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1445]: MPSNode(mpsnode_union=MPSExpand(input1_id=2172, output_id=2175, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6340130Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1446]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2176, input2_id=2173, input3_id=340, output_id=2177, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6340460Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1447]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2178, input2_id=2174, input3_id=342, output_id=2179, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6340760Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1448]: MPSNode(mpsnode_union=MPSView(input1_id=2175, output_id=2180, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6341040Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1449]: MPSNode(mpsnode_union=MPSView(input1_id=2177, output_id=2181, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6341330Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1450]: MPSNode(mpsnode_union=MPSView(input1_id=2179, output_id=2182, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6341630Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1451]: MPSNode(mpsnode_union=MPSView(input1_id=2181, output_id=2183, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6341920Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1452]: MPSNode(mpsnode_union=MPSView(input1_id=2182, output_id=2184, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6342260Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1453]: MPSNode(mpsnode_union=MPSPermute(input1_id=2183, output_id=2185, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6342560Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1454]: MPSNode(mpsnode_union=MPSPermute(input1_id=2184, output_id=2186, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6342870Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1455]: MPSNode(mpsnode_union=MPSExpand(input1_id=2185, output_id=2187, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6343170Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1456]: MPSNode(mpsnode_union=MPSPermute(input1_id=2186, output_id=2188, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6343510Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1457]: MPSNode(mpsnode_union=MPSView(input1_id=2187, output_id=2189, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6343820Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1458]: MPSNode(mpsnode_union=MPSExpand(input1_id=2188, output_id=2190, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6344110Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1459]: MPSNode(mpsnode_union=MPSView(input1_id=2190, output_id=2191, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6344380Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1460]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2189, input2_id=2191, output_id=2192), min_max=None) 2025-06-05T19:09:25.6344720Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1461]: MPSNode(mpsnode_union=MPSView(input1_id=2192, output_id=2193, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6345030Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1462]: MPSNode(mpsnode_union=MPSDiv(input1_id=2193, input2_id=2194, output_id=2195, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6345380Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1463]: MPSNode(mpsnode_union=MPSAdd(input1_id=2195, input2_id=743, output_id=2196, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6345680Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1464]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2196, output_id=2197, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6345980Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1465]: MPSNode(mpsnode_union=MPSExpand(input1_id=2197, output_id=2198, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6346270Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1466]: MPSNode(mpsnode_union=MPSView(input1_id=2198, output_id=2199, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6346550Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1467]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2199, input2_id=2180, output_id=2200), min_max=None) 2025-06-05T19:09:25.6346850Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1468]: MPSNode(mpsnode_union=MPSView(input1_id=2200, output_id=2201, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6347150Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1469]: MPSNode(mpsnode_union=MPSPermute(input1_id=2201, output_id=2202, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6347440Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1470]: MPSNode(mpsnode_union=MPSView(input1_id=2202, output_id=2203, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6347720Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1471]: MPSNode(mpsnode_union=MPSView(input1_id=2203, output_id=2204, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6348050Z [INFO 2025-06-05 19:09:25,574 mps_preprocess.py:288] [1472]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2205, input2_id=2204, input3_id=338, output_id=2206, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6348380Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1473]: MPSNode(mpsnode_union=MPSView(input1_id=2206, output_id=2207, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6348660Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1474]: MPSNode(mpsnode_union=MPSAdd(input1_id=2207, input2_id=2169, output_id=2208, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6348930Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1475]: MPSNode(mpsnode_union=MPSMul(input1_id=2208, input2_id=2209, output_id=2210), min_max=None) 2025-06-05T19:09:25.6349210Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1476]: MPSNode(mpsnode_union=MPSAdd(input1_id=2210, input2_id=2211, output_id=2212, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6349570Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1477]: MPSNode(mpsnode_union=MPSView(input1_id=2212, output_id=2213, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6349910Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1478]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2214, input2_id=2213, input3_id=356, output_id=2215, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6350210Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1479]: MPSNode(mpsnode_union=MPSView(input1_id=2215, output_id=2216, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6350440Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1480]: MPSNode(mpsnode_union=MPSReLU(input1_id=2216, output_id=2217), min_max=None) 2025-06-05T19:09:25.6350730Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1481]: MPSNode(mpsnode_union=MPSView(input1_id=2217, output_id=2218, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6351100Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1482]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2219, input2_id=2218, input3_id=354, output_id=2220, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6351400Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1483]: MPSNode(mpsnode_union=MPSView(input1_id=2220, output_id=2221, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6351740Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1484]: MPSNode(mpsnode_union=MPSAdd(input1_id=2221, input2_id=2212, output_id=2222, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6352000Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1485]: MPSNode(mpsnode_union=MPSMul(input1_id=2222, input2_id=2223, output_id=2224), min_max=None) 2025-06-05T19:09:25.6352290Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1486]: MPSNode(mpsnode_union=MPSAdd(input1_id=2224, input2_id=2225, output_id=2226, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6352570Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1487]: MPSNode(mpsnode_union=MPSView(input1_id=2226, output_id=2227, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6352910Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1488]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2228, input2_id=2227, input3_id=360, output_id=2229, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6353200Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1489]: MPSNode(mpsnode_union=MPSView(input1_id=2229, output_id=2230, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6353440Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1490]: MPSNode(mpsnode_union=MPSReLU(input1_id=2230, output_id=2231), min_max=None) 2025-06-05T19:09:25.6353730Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1491]: MPSNode(mpsnode_union=MPSView(input1_id=2231, output_id=2232, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6354060Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1492]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2233, input2_id=2232, input3_id=358, output_id=2234, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6354360Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1493]: MPSNode(mpsnode_union=MPSView(input1_id=2234, output_id=2235, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6354690Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1494]: MPSNode(mpsnode_union=MPSAdd(input1_id=2235, input2_id=2226, output_id=2236, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6354960Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1495]: MPSNode(mpsnode_union=MPSMul(input1_id=2236, input2_id=2237, output_id=2238), min_max=None) 2025-06-05T19:09:25.6355240Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1496]: MPSNode(mpsnode_union=MPSAdd(input1_id=2238, input2_id=2239, output_id=2240, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6355530Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1497]: MPSNode(mpsnode_union=MPSView(input1_id=2240, output_id=2241, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6355910Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1498]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2242, input2_id=2241, input3_id=364, output_id=2243, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6356210Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1499]: MPSNode(mpsnode_union=MPSView(input1_id=2243, output_id=2244, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6356440Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1500]: MPSNode(mpsnode_union=MPSReLU(input1_id=2244, output_id=2245), min_max=None) 2025-06-05T19:09:25.6356720Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1501]: MPSNode(mpsnode_union=MPSView(input1_id=2245, output_id=2246, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6357130Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1502]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2247, input2_id=2246, input3_id=362, output_id=2248, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6357430Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1503]: MPSNode(mpsnode_union=MPSView(input1_id=2248, output_id=2249, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6357770Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1504]: MPSNode(mpsnode_union=MPSAdd(input1_id=2249, input2_id=2240, output_id=2250, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6358030Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1505]: MPSNode(mpsnode_union=MPSMul(input1_id=2250, input2_id=2251, output_id=2252), min_max=None) 2025-06-05T19:09:25.6358310Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1506]: MPSNode(mpsnode_union=MPSAdd(input1_id=2252, input2_id=2253, output_id=2254, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6358600Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1507]: MPSNode(mpsnode_union=MPSView(input1_id=2254, output_id=2255, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6358940Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1508]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2256, input2_id=2255, input3_id=366, output_id=2257, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6359230Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1509]: MPSNode(mpsnode_union=MPSView(input1_id=2257, output_id=2258, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6359470Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1510]: MPSNode(mpsnode_union=MPSReLU(input1_id=2258, output_id=2259), min_max=None) 2025-06-05T19:09:25.6359750Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1511]: MPSNode(mpsnode_union=MPSView(input1_id=2259, output_id=2260, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6360090Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1512]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2261, input2_id=2260, input3_id=348, output_id=2262, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6360380Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1513]: MPSNode(mpsnode_union=MPSView(input1_id=2262, output_id=2263, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6360690Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1514]: MPSNode(mpsnode_union=MPSAdd(input1_id=2263, input2_id=2254, output_id=2264, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6360960Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1515]: MPSNode(mpsnode_union=MPSMul(input1_id=2264, input2_id=2265, output_id=2266), min_max=None) 2025-06-05T19:09:25.6361250Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1516]: MPSNode(mpsnode_union=MPSAdd(input1_id=2266, input2_id=2267, output_id=2268, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6361540Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1517]: MPSNode(mpsnode_union=MPSView(input1_id=2268, output_id=2269, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6361870Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1518]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2270, input2_id=2269, input3_id=346, output_id=2271, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6362240Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1519]: MPSNode(mpsnode_union=MPSView(input1_id=2271, output_id=2272, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6362530Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1520]: MPSNode(mpsnode_union=MPSAdd(input1_id=2272, input2_id=2150, output_id=2273, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6362790Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1521]: MPSNode(mpsnode_union=MPSMul(input1_id=2273, input2_id=2274, output_id=2275), min_max=None) 2025-06-05T19:09:25.6363070Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1522]: MPSNode(mpsnode_union=MPSAdd(input1_id=2275, input2_id=2276, output_id=2277, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6363410Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1523]: MPSNode(mpsnode_union=MPSView(input1_id=2277, output_id=2278, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6363710Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1524]: MPSNode(mpsnode_union=MPSView(input1_id=2277, output_id=2279, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6364050Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1525]: MPSNode(mpsnode_union=MPSView(input1_id=2277, output_id=2280, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6364390Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1526]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2281, input2_id=2278, input3_id=380, output_id=2282, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6364730Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1527]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2283, input2_id=2279, input3_id=382, output_id=2284, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6365070Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1528]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2285, input2_id=2280, input3_id=374, output_id=2286, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6365360Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1529]: MPSNode(mpsnode_union=MPSView(input1_id=2282, output_id=2287, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6365650Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1530]: MPSNode(mpsnode_union=MPSView(input1_id=2284, output_id=2288, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6365940Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1531]: MPSNode(mpsnode_union=MPSView(input1_id=2286, output_id=2289, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6366210Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1532]: MPSNode(mpsnode_union=MPSMul(input1_id=2287, input2_id=2290, output_id=2291), min_max=None) 2025-06-05T19:09:25.6366470Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1533]: MPSNode(mpsnode_union=MPSMul(input1_id=2288, input2_id=2292, output_id=2293), min_max=None) 2025-06-05T19:09:25.6366800Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1534]: MPSNode(mpsnode_union=MPSView(input1_id=2289, output_id=2294, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6367090Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1535]: MPSNode(mpsnode_union=MPSAdd(input1_id=2291, input2_id=2295, output_id=2296, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6367370Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1536]: MPSNode(mpsnode_union=MPSAdd(input1_id=2293, input2_id=2297, output_id=2298, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6367670Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1537]: MPSNode(mpsnode_union=MPSPermute(input1_id=2294, output_id=2299, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6367960Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1538]: MPSNode(mpsnode_union=MPSView(input1_id=2298, output_id=2300, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6368290Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1539]: MPSNode(mpsnode_union=MPSView(input1_id=2298, output_id=2301, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6368600Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1540]: MPSNode(mpsnode_union=MPSExpand(input1_id=2299, output_id=2302, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6368930Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1541]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2303, input2_id=2300, input3_id=370, output_id=2304, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6369260Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1542]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2305, input2_id=2301, input3_id=372, output_id=2306, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6369630Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1543]: MPSNode(mpsnode_union=MPSView(input1_id=2302, output_id=2307, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6369920Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1544]: MPSNode(mpsnode_union=MPSView(input1_id=2304, output_id=2308, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6370270Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1545]: MPSNode(mpsnode_union=MPSView(input1_id=2306, output_id=2309, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6370570Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1546]: MPSNode(mpsnode_union=MPSView(input1_id=2308, output_id=2310, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6370860Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1547]: MPSNode(mpsnode_union=MPSView(input1_id=2309, output_id=2311, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6371160Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1548]: MPSNode(mpsnode_union=MPSPermute(input1_id=2310, output_id=2312, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6371460Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1549]: MPSNode(mpsnode_union=MPSPermute(input1_id=2311, output_id=2313, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6371760Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1550]: MPSNode(mpsnode_union=MPSExpand(input1_id=2312, output_id=2314, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6372060Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1551]: MPSNode(mpsnode_union=MPSPermute(input1_id=2313, output_id=2315, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6372350Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1552]: MPSNode(mpsnode_union=MPSView(input1_id=2314, output_id=2316, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6372650Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1553]: MPSNode(mpsnode_union=MPSExpand(input1_id=2315, output_id=2317, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6372950Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1554]: MPSNode(mpsnode_union=MPSView(input1_id=2317, output_id=2318, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6373250Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1555]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2316, input2_id=2318, output_id=2319), min_max=None) 2025-06-05T19:09:25.6373550Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1556]: MPSNode(mpsnode_union=MPSView(input1_id=2319, output_id=2320, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6373850Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1557]: MPSNode(mpsnode_union=MPSDiv(input1_id=2320, input2_id=2321, output_id=2322, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6374140Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1558]: MPSNode(mpsnode_union=MPSAdd(input1_id=2322, input2_id=743, output_id=2323, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6374510Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1559]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2323, output_id=2324, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6374810Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1560]: MPSNode(mpsnode_union=MPSExpand(input1_id=2324, output_id=2325, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6375100Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1561]: MPSNode(mpsnode_union=MPSView(input1_id=2325, output_id=2326, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6375370Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1562]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2326, input2_id=2307, output_id=2327), min_max=None) 2025-06-05T19:09:25.6375670Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1563]: MPSNode(mpsnode_union=MPSView(input1_id=2327, output_id=2328, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6376020Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1564]: MPSNode(mpsnode_union=MPSPermute(input1_id=2328, output_id=2329, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6376360Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1565]: MPSNode(mpsnode_union=MPSView(input1_id=2329, output_id=2330, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6376650Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1566]: MPSNode(mpsnode_union=MPSView(input1_id=2330, output_id=2331, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6376980Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1567]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2332, input2_id=2331, input3_id=368, output_id=2333, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6377270Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1568]: MPSNode(mpsnode_union=MPSView(input1_id=2333, output_id=2334, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6377560Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1569]: MPSNode(mpsnode_union=MPSAdd(input1_id=2334, input2_id=2296, output_id=2335, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6377820Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1570]: MPSNode(mpsnode_union=MPSMul(input1_id=2335, input2_id=2336, output_id=2337), min_max=None) 2025-06-05T19:09:25.6378120Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1571]: MPSNode(mpsnode_union=MPSAdd(input1_id=2337, input2_id=2338, output_id=2339, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6378400Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1572]: MPSNode(mpsnode_union=MPSView(input1_id=2339, output_id=2340, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6378740Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1573]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2341, input2_id=2340, input3_id=386, output_id=2342, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6379040Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1574]: MPSNode(mpsnode_union=MPSView(input1_id=2342, output_id=2343, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6379310Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1575]: MPSNode(mpsnode_union=MPSReLU(input1_id=2343, output_id=2344), min_max=None) 2025-06-05T19:09:25.6379600Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1576]: MPSNode(mpsnode_union=MPSView(input1_id=2344, output_id=2345, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6379940Z [INFO 2025-06-05 19:09:25,575 mps_preprocess.py:288] [1577]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2346, input2_id=2345, input3_id=384, output_id=2347, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6380230Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1578]: MPSNode(mpsnode_union=MPSView(input1_id=2347, output_id=2348, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6380570Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1579]: MPSNode(mpsnode_union=MPSAdd(input1_id=2348, input2_id=2339, output_id=2349, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6380840Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1580]: MPSNode(mpsnode_union=MPSMul(input1_id=2349, input2_id=2350, output_id=2351), min_max=None) 2025-06-05T19:09:25.6381120Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1581]: MPSNode(mpsnode_union=MPSAdd(input1_id=2351, input2_id=2352, output_id=2353, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6381400Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1582]: MPSNode(mpsnode_union=MPSView(input1_id=2353, output_id=2354, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6381740Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1583]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2355, input2_id=2354, input3_id=390, output_id=2356, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6382090Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1584]: MPSNode(mpsnode_union=MPSView(input1_id=2356, output_id=2357, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6382330Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1585]: MPSNode(mpsnode_union=MPSReLU(input1_id=2357, output_id=2358), min_max=None) 2025-06-05T19:09:25.6382670Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1586]: MPSNode(mpsnode_union=MPSView(input1_id=2358, output_id=2359, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6383010Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1587]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2360, input2_id=2359, input3_id=388, output_id=2361, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6383300Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1588]: MPSNode(mpsnode_union=MPSView(input1_id=2361, output_id=2362, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6383600Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1589]: MPSNode(mpsnode_union=MPSAdd(input1_id=2362, input2_id=2353, output_id=2363, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6383870Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1590]: MPSNode(mpsnode_union=MPSMul(input1_id=2363, input2_id=2364, output_id=2365), min_max=None) 2025-06-05T19:09:25.6384160Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1591]: MPSNode(mpsnode_union=MPSAdd(input1_id=2365, input2_id=2366, output_id=2367, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6384450Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1592]: MPSNode(mpsnode_union=MPSView(input1_id=2367, output_id=2368, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6384780Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1593]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2369, input2_id=2368, input3_id=394, output_id=2370, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6385080Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1594]: MPSNode(mpsnode_union=MPSView(input1_id=2370, output_id=2371, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6385310Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1595]: MPSNode(mpsnode_union=MPSReLU(input1_id=2371, output_id=2372), min_max=None) 2025-06-05T19:09:25.6385630Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1596]: MPSNode(mpsnode_union=MPSView(input1_id=2372, output_id=2373, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6385970Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1597]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2374, input2_id=2373, input3_id=392, output_id=2375, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6386260Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1598]: MPSNode(mpsnode_union=MPSView(input1_id=2375, output_id=2376, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6386540Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1599]: MPSNode(mpsnode_union=MPSAdd(input1_id=2376, input2_id=2367, output_id=2377, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6386860Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1600]: MPSNode(mpsnode_union=MPSMul(input1_id=2377, input2_id=2378, output_id=2379), min_max=None) 2025-06-05T19:09:25.6387150Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1601]: MPSNode(mpsnode_union=MPSAdd(input1_id=2379, input2_id=2380, output_id=2381, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6387430Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1602]: MPSNode(mpsnode_union=MPSView(input1_id=2381, output_id=2382, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6387770Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1603]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2383, input2_id=2382, input3_id=396, output_id=2384, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6388060Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1604]: MPSNode(mpsnode_union=MPSView(input1_id=2384, output_id=2385, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6388350Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1605]: MPSNode(mpsnode_union=MPSReLU(input1_id=2385, output_id=2386), min_max=None) 2025-06-05T19:09:25.6388640Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1606]: MPSNode(mpsnode_union=MPSView(input1_id=2386, output_id=2387, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6389040Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1607]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2388, input2_id=2387, input3_id=378, output_id=2389, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6389330Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1608]: MPSNode(mpsnode_union=MPSView(input1_id=2389, output_id=2390, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6389610Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1609]: MPSNode(mpsnode_union=MPSAdd(input1_id=2390, input2_id=2381, output_id=2391, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6389880Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1610]: MPSNode(mpsnode_union=MPSMul(input1_id=2391, input2_id=2392, output_id=2393), min_max=None) 2025-06-05T19:09:25.6390160Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1611]: MPSNode(mpsnode_union=MPSAdd(input1_id=2393, input2_id=2394, output_id=2395, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6390450Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1612]: MPSNode(mpsnode_union=MPSView(input1_id=2395, output_id=2396, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6390780Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1613]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2397, input2_id=2396, input3_id=376, output_id=2398, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6391080Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1614]: MPSNode(mpsnode_union=MPSView(input1_id=2398, output_id=2399, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6391370Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1615]: MPSNode(mpsnode_union=MPSAdd(input1_id=2399, input2_id=2277, output_id=2400, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6391660Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1616]: MPSNode(mpsnode_union=MPSMul(input1_id=2400, input2_id=2401, output_id=2402), min_max=None) 2025-06-05T19:09:25.6391950Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1617]: MPSNode(mpsnode_union=MPSAdd(input1_id=2402, input2_id=2403, output_id=2404, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6392240Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1618]: MPSNode(mpsnode_union=MPSView(input1_id=2404, output_id=2405, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6392520Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1619]: MPSNode(mpsnode_union=MPSView(input1_id=2404, output_id=2406, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6392810Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1620]: MPSNode(mpsnode_union=MPSView(input1_id=2404, output_id=2407, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6393200Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1621]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2408, input2_id=2405, input3_id=410, output_id=2409, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6393540Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1622]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2410, input2_id=2406, input3_id=412, output_id=2411, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6393870Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1623]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2412, input2_id=2407, input3_id=404, output_id=2413, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6394160Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1624]: MPSNode(mpsnode_union=MPSView(input1_id=2409, output_id=2414, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6394510Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1625]: MPSNode(mpsnode_union=MPSView(input1_id=2411, output_id=2415, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6394810Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1626]: MPSNode(mpsnode_union=MPSView(input1_id=2413, output_id=2416, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6395140Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1627]: MPSNode(mpsnode_union=MPSMul(input1_id=2414, input2_id=2417, output_id=2418), min_max=None) 2025-06-05T19:09:25.6395400Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1628]: MPSNode(mpsnode_union=MPSMul(input1_id=2415, input2_id=2419, output_id=2420), min_max=None) 2025-06-05T19:09:25.6395700Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1629]: MPSNode(mpsnode_union=MPSView(input1_id=2416, output_id=2421, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6395990Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1630]: MPSNode(mpsnode_union=MPSAdd(input1_id=2418, input2_id=2422, output_id=2423, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6396270Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1631]: MPSNode(mpsnode_union=MPSAdd(input1_id=2420, input2_id=2424, output_id=2425, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6396580Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1632]: MPSNode(mpsnode_union=MPSPermute(input1_id=2421, output_id=2426, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6396860Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1633]: MPSNode(mpsnode_union=MPSView(input1_id=2425, output_id=2427, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6397150Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1634]: MPSNode(mpsnode_union=MPSView(input1_id=2425, output_id=2428, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6397450Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1635]: MPSNode(mpsnode_union=MPSExpand(input1_id=2426, output_id=2429, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6397810Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1636]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2430, input2_id=2427, input3_id=400, output_id=2431, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6398150Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1637]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2432, input2_id=2428, input3_id=402, output_id=2433, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6398450Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1638]: MPSNode(mpsnode_union=MPSView(input1_id=2429, output_id=2434, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6398740Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1639]: MPSNode(mpsnode_union=MPSView(input1_id=2431, output_id=2435, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6399030Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1640]: MPSNode(mpsnode_union=MPSView(input1_id=2433, output_id=2436, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6399410Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1641]: MPSNode(mpsnode_union=MPSView(input1_id=2435, output_id=2437, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6399710Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1642]: MPSNode(mpsnode_union=MPSView(input1_id=2436, output_id=2438, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6400010Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1643]: MPSNode(mpsnode_union=MPSPermute(input1_id=2437, output_id=2439, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6400310Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1644]: MPSNode(mpsnode_union=MPSPermute(input1_id=2438, output_id=2440, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6400660Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1645]: MPSNode(mpsnode_union=MPSExpand(input1_id=2439, output_id=2441, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6400970Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1646]: MPSNode(mpsnode_union=MPSPermute(input1_id=2440, output_id=2442, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6401310Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1647]: MPSNode(mpsnode_union=MPSView(input1_id=2441, output_id=2443, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6401620Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1648]: MPSNode(mpsnode_union=MPSExpand(input1_id=2442, output_id=2444, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6401910Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1649]: MPSNode(mpsnode_union=MPSView(input1_id=2444, output_id=2445, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6402190Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1650]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2443, input2_id=2445, output_id=2446), min_max=None) 2025-06-05T19:09:25.6402480Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1651]: MPSNode(mpsnode_union=MPSView(input1_id=2446, output_id=2447, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6402790Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1652]: MPSNode(mpsnode_union=MPSDiv(input1_id=2447, input2_id=2448, output_id=2449, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6403070Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1653]: MPSNode(mpsnode_union=MPSAdd(input1_id=2449, input2_id=743, output_id=2450, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6403380Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1654]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2450, output_id=2451, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6403680Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1655]: MPSNode(mpsnode_union=MPSExpand(input1_id=2451, output_id=2452, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6403970Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1656]: MPSNode(mpsnode_union=MPSView(input1_id=2452, output_id=2453, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6404290Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1657]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2453, input2_id=2434, output_id=2454), min_max=None) 2025-06-05T19:09:25.6404580Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1658]: MPSNode(mpsnode_union=MPSView(input1_id=2454, output_id=2455, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6404890Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1659]: MPSNode(mpsnode_union=MPSPermute(input1_id=2455, output_id=2456, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6405180Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1660]: MPSNode(mpsnode_union=MPSView(input1_id=2456, output_id=2457, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6405520Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1661]: MPSNode(mpsnode_union=MPSView(input1_id=2457, output_id=2458, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6405860Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1662]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2459, input2_id=2458, input3_id=398, output_id=2460, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6406150Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1663]: MPSNode(mpsnode_union=MPSView(input1_id=2460, output_id=2461, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6406440Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1664]: MPSNode(mpsnode_union=MPSAdd(input1_id=2461, input2_id=2423, output_id=2462, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6406700Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1665]: MPSNode(mpsnode_union=MPSMul(input1_id=2462, input2_id=2463, output_id=2464), min_max=None) 2025-06-05T19:09:25.6416930Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1666]: MPSNode(mpsnode_union=MPSAdd(input1_id=2464, input2_id=2465, output_id=2466, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6417300Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1667]: MPSNode(mpsnode_union=MPSView(input1_id=2466, output_id=2467, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6417640Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1668]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2468, input2_id=2467, input3_id=416, output_id=2469, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6417930Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1669]: MPSNode(mpsnode_union=MPSView(input1_id=2469, output_id=2470, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6418170Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1670]: MPSNode(mpsnode_union=MPSReLU(input1_id=2470, output_id=2471), min_max=None) 2025-06-05T19:09:25.6418460Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1671]: MPSNode(mpsnode_union=MPSView(input1_id=2471, output_id=2472, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6418800Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1672]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2473, input2_id=2472, input3_id=414, output_id=2474, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6419090Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1673]: MPSNode(mpsnode_union=MPSView(input1_id=2474, output_id=2475, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6419370Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1674]: MPSNode(mpsnode_union=MPSAdd(input1_id=2475, input2_id=2466, output_id=2476, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6419630Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1675]: MPSNode(mpsnode_union=MPSMul(input1_id=2476, input2_id=2477, output_id=2478), min_max=None) 2025-06-05T19:09:25.6419920Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1676]: MPSNode(mpsnode_union=MPSAdd(input1_id=2478, input2_id=2479, output_id=2480, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6420240Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1677]: MPSNode(mpsnode_union=MPSView(input1_id=2480, output_id=2481, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6420570Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1678]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2482, input2_id=2481, input3_id=420, output_id=2483, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6420860Z [INFO 2025-06-05 19:09:25,576 mps_preprocess.py:288] [1679]: MPSNode(mpsnode_union=MPSView(input1_id=2483, output_id=2484, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6421100Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1680]: MPSNode(mpsnode_union=MPSReLU(input1_id=2484, output_id=2485), min_max=None) 2025-06-05T19:09:25.6421380Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1681]: MPSNode(mpsnode_union=MPSView(input1_id=2485, output_id=2486, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6421780Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1682]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2487, input2_id=2486, input3_id=418, output_id=2488, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6422070Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1683]: MPSNode(mpsnode_union=MPSView(input1_id=2488, output_id=2489, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6422350Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1684]: MPSNode(mpsnode_union=MPSAdd(input1_id=2489, input2_id=2480, output_id=2490, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6422610Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1685]: MPSNode(mpsnode_union=MPSMul(input1_id=2490, input2_id=2491, output_id=2492), min_max=None) 2025-06-05T19:09:25.6422950Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1686]: MPSNode(mpsnode_union=MPSAdd(input1_id=2492, input2_id=2493, output_id=2494, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6423240Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1687]: MPSNode(mpsnode_union=MPSView(input1_id=2494, output_id=2495, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6423630Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1688]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2496, input2_id=2495, input3_id=424, output_id=2497, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6423920Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1689]: MPSNode(mpsnode_union=MPSView(input1_id=2497, output_id=2498, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6424160Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1690]: MPSNode(mpsnode_union=MPSReLU(input1_id=2498, output_id=2499), min_max=None) 2025-06-05T19:09:25.6424440Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1691]: MPSNode(mpsnode_union=MPSView(input1_id=2499, output_id=2500, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6424780Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1692]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2501, input2_id=2500, input3_id=422, output_id=2502, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6425070Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1693]: MPSNode(mpsnode_union=MPSView(input1_id=2502, output_id=2503, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6425350Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1694]: MPSNode(mpsnode_union=MPSAdd(input1_id=2503, input2_id=2494, output_id=2504, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6425620Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1695]: MPSNode(mpsnode_union=MPSMul(input1_id=2504, input2_id=2505, output_id=2506), min_max=None) 2025-06-05T19:09:25.6425900Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1696]: MPSNode(mpsnode_union=MPSAdd(input1_id=2506, input2_id=2507, output_id=2508, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6426190Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1697]: MPSNode(mpsnode_union=MPSView(input1_id=2508, output_id=2509, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6426560Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1698]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2510, input2_id=2509, input3_id=426, output_id=2511, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6426850Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1699]: MPSNode(mpsnode_union=MPSView(input1_id=2511, output_id=2512, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6427090Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1700]: MPSNode(mpsnode_union=MPSReLU(input1_id=2512, output_id=2513), min_max=None) 2025-06-05T19:09:25.6427380Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1701]: MPSNode(mpsnode_union=MPSView(input1_id=2513, output_id=2514, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6427780Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1702]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2515, input2_id=2514, input3_id=408, output_id=2516, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6428080Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1703]: MPSNode(mpsnode_union=MPSView(input1_id=2516, output_id=2517, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6428360Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1704]: MPSNode(mpsnode_union=MPSAdd(input1_id=2517, input2_id=2508, output_id=2518, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6428620Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1705]: MPSNode(mpsnode_union=MPSMul(input1_id=2518, input2_id=2519, output_id=2520), min_max=None) 2025-06-05T19:09:25.6428900Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1706]: MPSNode(mpsnode_union=MPSAdd(input1_id=2520, input2_id=2521, output_id=2522, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6429250Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1707]: MPSNode(mpsnode_union=MPSView(input1_id=2522, output_id=2523, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6429600Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1708]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2524, input2_id=2523, input3_id=406, output_id=2525, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6429960Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1709]: MPSNode(mpsnode_union=MPSView(input1_id=2525, output_id=2526, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6430240Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1710]: MPSNode(mpsnode_union=MPSAdd(input1_id=2526, input2_id=2404, output_id=2527, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6430510Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1711]: MPSNode(mpsnode_union=MPSMul(input1_id=2527, input2_id=2528, output_id=2529), min_max=None) 2025-06-05T19:09:25.6430790Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1712]: MPSNode(mpsnode_union=MPSAdd(input1_id=2529, input2_id=2530, output_id=2531, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6431090Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1713]: MPSNode(mpsnode_union=MPSView(input1_id=2531, output_id=2532, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6431370Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1714]: MPSNode(mpsnode_union=MPSView(input1_id=2531, output_id=2533, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6431650Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1715]: MPSNode(mpsnode_union=MPSView(input1_id=2531, output_id=2534, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6431980Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1716]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2535, input2_id=2532, input3_id=440, output_id=2536, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6432320Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1717]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2537, input2_id=2533, input3_id=442, output_id=2538, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6432680Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1718]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2539, input2_id=2534, input3_id=434, output_id=2540, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6432980Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1719]: MPSNode(mpsnode_union=MPSView(input1_id=2536, output_id=2541, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6433270Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1720]: MPSNode(mpsnode_union=MPSView(input1_id=2538, output_id=2542, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6433560Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1721]: MPSNode(mpsnode_union=MPSView(input1_id=2540, output_id=2543, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6433890Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1722]: MPSNode(mpsnode_union=MPSMul(input1_id=2541, input2_id=2544, output_id=2545), min_max=None) 2025-06-05T19:09:25.6434160Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1723]: MPSNode(mpsnode_union=MPSMul(input1_id=2542, input2_id=2546, output_id=2547), min_max=None) 2025-06-05T19:09:25.6434460Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1724]: MPSNode(mpsnode_union=MPSView(input1_id=2543, output_id=2548, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6434740Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1725]: MPSNode(mpsnode_union=MPSAdd(input1_id=2545, input2_id=2549, output_id=2550, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6435020Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1726]: MPSNode(mpsnode_union=MPSAdd(input1_id=2547, input2_id=2551, output_id=2552, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6435370Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1727]: MPSNode(mpsnode_union=MPSPermute(input1_id=2548, output_id=2553, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6435660Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1728]: MPSNode(mpsnode_union=MPSView(input1_id=2552, output_id=2554, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6436010Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1729]: MPSNode(mpsnode_union=MPSView(input1_id=2552, output_id=2555, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6436310Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1730]: MPSNode(mpsnode_union=MPSExpand(input1_id=2553, output_id=2556, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6436640Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1731]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2557, input2_id=2554, input3_id=430, output_id=2558, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6436980Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1732]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2559, input2_id=2555, input3_id=432, output_id=2560, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6437270Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1733]: MPSNode(mpsnode_union=MPSView(input1_id=2556, output_id=2561, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6437570Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1734]: MPSNode(mpsnode_union=MPSView(input1_id=2558, output_id=2562, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6437860Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1735]: MPSNode(mpsnode_union=MPSView(input1_id=2560, output_id=2563, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6438160Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1736]: MPSNode(mpsnode_union=MPSView(input1_id=2562, output_id=2564, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6438460Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1737]: MPSNode(mpsnode_union=MPSView(input1_id=2563, output_id=2565, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6438840Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1738]: MPSNode(mpsnode_union=MPSPermute(input1_id=2564, output_id=2566, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6439150Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1739]: MPSNode(mpsnode_union=MPSPermute(input1_id=2565, output_id=2567, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6439450Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1740]: MPSNode(mpsnode_union=MPSExpand(input1_id=2566, output_id=2568, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6439750Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1741]: MPSNode(mpsnode_union=MPSPermute(input1_id=2567, output_id=2569, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6440040Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1742]: MPSNode(mpsnode_union=MPSView(input1_id=2568, output_id=2570, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6440500Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1743]: MPSNode(mpsnode_union=MPSExpand(input1_id=2569, output_id=2571, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6440780Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1744]: MPSNode(mpsnode_union=MPSView(input1_id=2571, output_id=2572, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6441060Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1745]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2570, input2_id=2572, output_id=2573), min_max=None) 2025-06-05T19:09:25.6441360Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1746]: MPSNode(mpsnode_union=MPSView(input1_id=2573, output_id=2574, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6441790Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1747]: MPSNode(mpsnode_union=MPSDiv(input1_id=2574, input2_id=2575, output_id=2576, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6442080Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1748]: MPSNode(mpsnode_union=MPSAdd(input1_id=2576, input2_id=743, output_id=2577, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6442520Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1749]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2577, output_id=2578, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6442830Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1750]: MPSNode(mpsnode_union=MPSExpand(input1_id=2578, output_id=2579, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6443120Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1751]: MPSNode(mpsnode_union=MPSView(input1_id=2579, output_id=2580, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6443400Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1752]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2580, input2_id=2561, output_id=2581), min_max=None) 2025-06-05T19:09:25.6443690Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1753]: MPSNode(mpsnode_union=MPSView(input1_id=2581, output_id=2582, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6444000Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1754]: MPSNode(mpsnode_union=MPSPermute(input1_id=2582, output_id=2583, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6444290Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1755]: MPSNode(mpsnode_union=MPSView(input1_id=2583, output_id=2584, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6444580Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1756]: MPSNode(mpsnode_union=MPSView(input1_id=2584, output_id=2585, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6444920Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1757]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2586, input2_id=2585, input3_id=428, output_id=2587, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6445210Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1758]: MPSNode(mpsnode_union=MPSView(input1_id=2587, output_id=2588, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6445570Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1759]: MPSNode(mpsnode_union=MPSAdd(input1_id=2588, input2_id=2550, output_id=2589, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6445840Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1760]: MPSNode(mpsnode_union=MPSMul(input1_id=2589, input2_id=2590, output_id=2591), min_max=None) 2025-06-05T19:09:25.6446130Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1761]: MPSNode(mpsnode_union=MPSAdd(input1_id=2591, input2_id=2592, output_id=2593, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6446410Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1762]: MPSNode(mpsnode_union=MPSView(input1_id=2593, output_id=2594, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6446830Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1763]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2595, input2_id=2594, input3_id=446, output_id=2596, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6447130Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1764]: MPSNode(mpsnode_union=MPSView(input1_id=2596, output_id=2597, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6447380Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1765]: MPSNode(mpsnode_union=MPSReLU(input1_id=2597, output_id=2598), min_max=None) 2025-06-05T19:09:25.6447670Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1766]: MPSNode(mpsnode_union=MPSView(input1_id=2598, output_id=2599, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6448000Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1767]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2600, input2_id=2599, input3_id=444, output_id=2601, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6448350Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1768]: MPSNode(mpsnode_union=MPSView(input1_id=2601, output_id=2602, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6448680Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1769]: MPSNode(mpsnode_union=MPSAdd(input1_id=2602, input2_id=2593, output_id=2603, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6448940Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1770]: MPSNode(mpsnode_union=MPSMul(input1_id=2603, input2_id=2604, output_id=2605), min_max=None) 2025-06-05T19:09:25.6449230Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1771]: MPSNode(mpsnode_union=MPSAdd(input1_id=2605, input2_id=2606, output_id=2607, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6449520Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1772]: MPSNode(mpsnode_union=MPSView(input1_id=2607, output_id=2608, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6449860Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1773]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2609, input2_id=2608, input3_id=450, output_id=2610, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6450150Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1774]: MPSNode(mpsnode_union=MPSView(input1_id=2610, output_id=2611, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6450390Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1775]: MPSNode(mpsnode_union=MPSReLU(input1_id=2611, output_id=2612), min_max=None) 2025-06-05T19:09:25.6450670Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1776]: MPSNode(mpsnode_union=MPSView(input1_id=2612, output_id=2613, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6451000Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1777]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2614, input2_id=2613, input3_id=448, output_id=2615, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6451290Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1778]: MPSNode(mpsnode_union=MPSView(input1_id=2615, output_id=2616, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6451600Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1779]: MPSNode(mpsnode_union=MPSAdd(input1_id=2616, input2_id=2607, output_id=2617, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6451870Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1780]: MPSNode(mpsnode_union=MPSMul(input1_id=2617, input2_id=2618, output_id=2619), min_max=None) 2025-06-05T19:09:25.6452160Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1781]: MPSNode(mpsnode_union=MPSAdd(input1_id=2619, input2_id=2620, output_id=2621, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6452460Z [INFO 2025-06-05 19:09:25,577 mps_preprocess.py:288] [1782]: MPSNode(mpsnode_union=MPSView(input1_id=2621, output_id=2622, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6452810Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1783]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2623, input2_id=2622, input3_id=454, output_id=2624, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6453150Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1784]: MPSNode(mpsnode_union=MPSView(input1_id=2624, output_id=2625, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6453390Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1785]: MPSNode(mpsnode_union=MPSReLU(input1_id=2625, output_id=2626), min_max=None) 2025-06-05T19:09:25.6453670Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1786]: MPSNode(mpsnode_union=MPSView(input1_id=2626, output_id=2627, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6454010Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1787]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2628, input2_id=2627, input3_id=452, output_id=2629, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6454350Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1788]: MPSNode(mpsnode_union=MPSView(input1_id=2629, output_id=2630, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6454640Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1789]: MPSNode(mpsnode_union=MPSAdd(input1_id=2630, input2_id=2621, output_id=2631, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6454970Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1790]: MPSNode(mpsnode_union=MPSMul(input1_id=2631, input2_id=2632, output_id=2633), min_max=None) 2025-06-05T19:09:25.6455260Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1791]: MPSNode(mpsnode_union=MPSAdd(input1_id=2633, input2_id=2634, output_id=2635, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6455550Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1792]: MPSNode(mpsnode_union=MPSView(input1_id=2635, output_id=2636, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6455890Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1793]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2637, input2_id=2636, input3_id=456, output_id=2638, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6456190Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1794]: MPSNode(mpsnode_union=MPSView(input1_id=2638, output_id=2639, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6456430Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1795]: MPSNode(mpsnode_union=MPSReLU(input1_id=2639, output_id=2640), min_max=None) 2025-06-05T19:09:25.6456720Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1796]: MPSNode(mpsnode_union=MPSView(input1_id=2640, output_id=2641, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6457060Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1797]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2642, input2_id=2641, input3_id=438, output_id=2643, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6457350Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1798]: MPSNode(mpsnode_union=MPSView(input1_id=2643, output_id=2644, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6457640Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1799]: MPSNode(mpsnode_union=MPSAdd(input1_id=2644, input2_id=2635, output_id=2645, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6457930Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1800]: MPSNode(mpsnode_union=MPSMul(input1_id=2645, input2_id=2646, output_id=2647), min_max=None) 2025-06-05T19:09:25.6458220Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1801]: MPSNode(mpsnode_union=MPSAdd(input1_id=2647, input2_id=2648, output_id=2649, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6458510Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1802]: MPSNode(mpsnode_union=MPSView(input1_id=2649, output_id=2650, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6458850Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1803]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2651, input2_id=2650, input3_id=436, output_id=2652, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6459210Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1804]: MPSNode(mpsnode_union=MPSView(input1_id=2652, output_id=2653, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6459500Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1805]: MPSNode(mpsnode_union=MPSAdd(input1_id=2653, input2_id=2531, output_id=2654, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6459760Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1806]: MPSNode(mpsnode_union=MPSMul(input1_id=2654, input2_id=2655, output_id=2656), min_max=None) 2025-06-05T19:09:25.6460040Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1807]: MPSNode(mpsnode_union=MPSAdd(input1_id=2656, input2_id=2657, output_id=2658, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6460330Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1808]: MPSNode(mpsnode_union=MPSView(input1_id=2658, output_id=2659, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6460660Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1809]: MPSNode(mpsnode_union=MPSView(input1_id=2658, output_id=2660, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6460960Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1810]: MPSNode(mpsnode_union=MPSView(input1_id=2658, output_id=2661, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6461340Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1811]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2662, input2_id=2659, input3_id=470, output_id=2663, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6461680Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1812]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2664, input2_id=2660, input3_id=472, output_id=2665, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6462010Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1813]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2666, input2_id=2661, input3_id=464, output_id=2667, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6462310Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1814]: MPSNode(mpsnode_union=MPSView(input1_id=2663, output_id=2668, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6462610Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1815]: MPSNode(mpsnode_union=MPSView(input1_id=2665, output_id=2669, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6462900Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1816]: MPSNode(mpsnode_union=MPSView(input1_id=2667, output_id=2670, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6463160Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1817]: MPSNode(mpsnode_union=MPSMul(input1_id=2668, input2_id=2671, output_id=2672), min_max=None) 2025-06-05T19:09:25.6463430Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1818]: MPSNode(mpsnode_union=MPSMul(input1_id=2669, input2_id=2673, output_id=2674), min_max=None) 2025-06-05T19:09:25.6463720Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1819]: MPSNode(mpsnode_union=MPSView(input1_id=2670, output_id=2675, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6464040Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1820]: MPSNode(mpsnode_union=MPSAdd(input1_id=2672, input2_id=2676, output_id=2677, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6464330Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1821]: MPSNode(mpsnode_union=MPSAdd(input1_id=2674, input2_id=2678, output_id=2679, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6464640Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1822]: MPSNode(mpsnode_union=MPSPermute(input1_id=2675, output_id=2680, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6464920Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1823]: MPSNode(mpsnode_union=MPSView(input1_id=2679, output_id=2681, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6465210Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1824]: MPSNode(mpsnode_union=MPSView(input1_id=2679, output_id=2682, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6465570Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1825]: MPSNode(mpsnode_union=MPSExpand(input1_id=2680, output_id=2683, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6465910Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1826]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2684, input2_id=2681, input3_id=460, output_id=2685, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6466250Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1827]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2686, input2_id=2682, input3_id=462, output_id=2687, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6466540Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1828]: MPSNode(mpsnode_union=MPSView(input1_id=2683, output_id=2688, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6466890Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1829]: MPSNode(mpsnode_union=MPSView(input1_id=2685, output_id=2689, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6467190Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1830]: MPSNode(mpsnode_union=MPSView(input1_id=2687, output_id=2690, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6467540Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1831]: MPSNode(mpsnode_union=MPSView(input1_id=2689, output_id=2691, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6467840Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1832]: MPSNode(mpsnode_union=MPSView(input1_id=2690, output_id=2692, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6468150Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1833]: MPSNode(mpsnode_union=MPSPermute(input1_id=2691, output_id=2693, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6468450Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1834]: MPSNode(mpsnode_union=MPSPermute(input1_id=2692, output_id=2694, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6468750Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1835]: MPSNode(mpsnode_union=MPSExpand(input1_id=2693, output_id=2695, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6469060Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1836]: MPSNode(mpsnode_union=MPSPermute(input1_id=2694, output_id=2696, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6469350Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1837]: MPSNode(mpsnode_union=MPSView(input1_id=2695, output_id=2697, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6469650Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1838]: MPSNode(mpsnode_union=MPSExpand(input1_id=2696, output_id=2698, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6469950Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1839]: MPSNode(mpsnode_union=MPSView(input1_id=2698, output_id=2699, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6470250Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1840]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2697, input2_id=2699, output_id=2700), min_max=None) 2025-06-05T19:09:25.6470550Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1841]: MPSNode(mpsnode_union=MPSView(input1_id=2700, output_id=2701, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6470850Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1842]: MPSNode(mpsnode_union=MPSDiv(input1_id=2701, input2_id=2702, output_id=2703, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6471130Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1843]: MPSNode(mpsnode_union=MPSAdd(input1_id=2703, input2_id=743, output_id=2704, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6471440Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1844]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2704, output_id=2705, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6471800Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1845]: MPSNode(mpsnode_union=MPSExpand(input1_id=2705, output_id=2706, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6472090Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1846]: MPSNode(mpsnode_union=MPSView(input1_id=2706, output_id=2707, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6472370Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1847]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2707, input2_id=2688, output_id=2708), min_max=None) 2025-06-05T19:09:25.6472670Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1848]: MPSNode(mpsnode_union=MPSView(input1_id=2708, output_id=2709, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6473020Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1849]: MPSNode(mpsnode_union=MPSPermute(input1_id=2709, output_id=2710, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6473310Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1850]: MPSNode(mpsnode_union=MPSView(input1_id=2710, output_id=2711, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6473650Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1851]: MPSNode(mpsnode_union=MPSView(input1_id=2711, output_id=2712, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6473990Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1852]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2713, input2_id=2712, input3_id=458, output_id=2714, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6474280Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1853]: MPSNode(mpsnode_union=MPSView(input1_id=2714, output_id=2715, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6474570Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1854]: MPSNode(mpsnode_union=MPSAdd(input1_id=2715, input2_id=2677, output_id=2716, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6474840Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1855]: MPSNode(mpsnode_union=MPSMul(input1_id=2716, input2_id=2717, output_id=2718), min_max=None) 2025-06-05T19:09:25.6475130Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1856]: MPSNode(mpsnode_union=MPSAdd(input1_id=2718, input2_id=2719, output_id=2720, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6475410Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1857]: MPSNode(mpsnode_union=MPSView(input1_id=2720, output_id=2721, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6475750Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1858]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2722, input2_id=2721, input3_id=476, output_id=2723, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6476050Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1859]: MPSNode(mpsnode_union=MPSView(input1_id=2723, output_id=2724, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6476290Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1860]: MPSNode(mpsnode_union=MPSReLU(input1_id=2724, output_id=2725), min_max=None) 2025-06-05T19:09:25.6476610Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1861]: MPSNode(mpsnode_union=MPSView(input1_id=2725, output_id=2726, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6476950Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1862]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2727, input2_id=2726, input3_id=474, output_id=2728, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6477240Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1863]: MPSNode(mpsnode_union=MPSView(input1_id=2728, output_id=2729, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6477530Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1864]: MPSNode(mpsnode_union=MPSAdd(input1_id=2729, input2_id=2720, output_id=2730, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6477840Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1865]: MPSNode(mpsnode_union=MPSMul(input1_id=2730, input2_id=2731, output_id=2732), min_max=None) 2025-06-05T19:09:25.6478150Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1866]: MPSNode(mpsnode_union=MPSAdd(input1_id=2732, input2_id=2733, output_id=2734, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6478440Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1867]: MPSNode(mpsnode_union=MPSView(input1_id=2734, output_id=2735, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6478780Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1868]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2736, input2_id=2735, input3_id=480, output_id=2737, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6479080Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1869]: MPSNode(mpsnode_union=MPSView(input1_id=2737, output_id=2738, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6479370Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1870]: MPSNode(mpsnode_union=MPSReLU(input1_id=2738, output_id=2739), min_max=None) 2025-06-05T19:09:25.6479660Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1871]: MPSNode(mpsnode_union=MPSView(input1_id=2739, output_id=2740, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6480070Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1872]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2741, input2_id=2740, input3_id=478, output_id=2742, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6480360Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1873]: MPSNode(mpsnode_union=MPSView(input1_id=2742, output_id=2743, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6480650Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1874]: MPSNode(mpsnode_union=MPSAdd(input1_id=2743, input2_id=2734, output_id=2744, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6480920Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1875]: MPSNode(mpsnode_union=MPSMul(input1_id=2744, input2_id=2745, output_id=2746), min_max=None) 2025-06-05T19:09:25.6481200Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1876]: MPSNode(mpsnode_union=MPSAdd(input1_id=2746, input2_id=2747, output_id=2748, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6481490Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1877]: MPSNode(mpsnode_union=MPSView(input1_id=2748, output_id=2749, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6481830Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1878]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2750, input2_id=2749, input3_id=484, output_id=2751, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6482120Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1879]: MPSNode(mpsnode_union=MPSView(input1_id=2751, output_id=2752, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6482360Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1880]: MPSNode(mpsnode_union=MPSReLU(input1_id=2752, output_id=2753), min_max=None) 2025-06-05T19:09:25.6482680Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1881]: MPSNode(mpsnode_union=MPSView(input1_id=2753, output_id=2754, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6483030Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1882]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2755, input2_id=2754, input3_id=482, output_id=2756, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6483320Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1883]: MPSNode(mpsnode_union=MPSView(input1_id=2756, output_id=2757, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6483600Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1884]: MPSNode(mpsnode_union=MPSAdd(input1_id=2757, input2_id=2748, output_id=2758, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6483870Z [INFO 2025-06-05 19:09:25,578 mps_preprocess.py:288] [1885]: MPSNode(mpsnode_union=MPSMul(input1_id=2758, input2_id=2759, output_id=2760), min_max=None) 2025-06-05T19:09:25.6484240Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1886]: MPSNode(mpsnode_union=MPSAdd(input1_id=2760, input2_id=2761, output_id=2762, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6484530Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1887]: MPSNode(mpsnode_union=MPSView(input1_id=2762, output_id=2763, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6484870Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1888]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2764, input2_id=2763, input3_id=486, output_id=2765, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6485160Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1889]: MPSNode(mpsnode_union=MPSView(input1_id=2765, output_id=2766, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6485450Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1890]: MPSNode(mpsnode_union=MPSReLU(input1_id=2766, output_id=2767), min_max=None) 2025-06-05T19:09:25.6485740Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1891]: MPSNode(mpsnode_union=MPSView(input1_id=2767, output_id=2768, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6486130Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1892]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2769, input2_id=2768, input3_id=468, output_id=2770, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6486420Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1893]: MPSNode(mpsnode_union=MPSView(input1_id=2770, output_id=2771, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6486710Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1894]: MPSNode(mpsnode_union=MPSAdd(input1_id=2771, input2_id=2762, output_id=2772, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6486980Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1895]: MPSNode(mpsnode_union=MPSMul(input1_id=2772, input2_id=2773, output_id=2774), min_max=None) 2025-06-05T19:09:25.6487270Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1896]: MPSNode(mpsnode_union=MPSAdd(input1_id=2774, input2_id=2775, output_id=2776, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6487560Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1897]: MPSNode(mpsnode_union=MPSView(input1_id=2776, output_id=2777, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6487900Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1898]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2778, input2_id=2777, input3_id=466, output_id=2779, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6488190Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1899]: MPSNode(mpsnode_union=MPSView(input1_id=2779, output_id=2780, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6488480Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1900]: MPSNode(mpsnode_union=MPSAdd(input1_id=2780, input2_id=2658, output_id=2781, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6488750Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1901]: MPSNode(mpsnode_union=MPSMul(input1_id=2781, input2_id=2782, output_id=2783), min_max=None) 2025-06-05T19:09:25.6489060Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1902]: MPSNode(mpsnode_union=MPSAdd(input1_id=2783, input2_id=2784, output_id=2785, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6489350Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1903]: MPSNode(mpsnode_union=MPSView(input1_id=2785, output_id=2786, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6489640Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1904]: MPSNode(mpsnode_union=MPSView(input1_id=2785, output_id=2787, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6489920Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1905]: MPSNode(mpsnode_union=MPSView(input1_id=2785, output_id=2788, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6490310Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1906]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2789, input2_id=2786, input3_id=500, output_id=2790, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6490650Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1907]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2791, input2_id=2787, input3_id=502, output_id=2792, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6490990Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1908]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2793, input2_id=2788, input3_id=494, output_id=2794, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6491280Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1909]: MPSNode(mpsnode_union=MPSView(input1_id=2790, output_id=2795, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6491580Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1910]: MPSNode(mpsnode_union=MPSView(input1_id=2792, output_id=2796, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6491930Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1911]: MPSNode(mpsnode_union=MPSView(input1_id=2794, output_id=2797, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6492250Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1912]: MPSNode(mpsnode_union=MPSMul(input1_id=2795, input2_id=2798, output_id=2799), min_max=None) 2025-06-05T19:09:25.6492520Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1913]: MPSNode(mpsnode_union=MPSMul(input1_id=2796, input2_id=2800, output_id=2801), min_max=None) 2025-06-05T19:09:25.6492810Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1914]: MPSNode(mpsnode_union=MPSView(input1_id=2797, output_id=2802, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6493100Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1915]: MPSNode(mpsnode_union=MPSAdd(input1_id=2799, input2_id=2803, output_id=2804, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6493390Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1916]: MPSNode(mpsnode_union=MPSAdd(input1_id=2801, input2_id=2805, output_id=2806, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6493700Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1917]: MPSNode(mpsnode_union=MPSPermute(input1_id=2802, output_id=2807, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6493990Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1918]: MPSNode(mpsnode_union=MPSView(input1_id=2806, output_id=2808, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6494270Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1919]: MPSNode(mpsnode_union=MPSView(input1_id=2806, output_id=2809, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6494580Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1920]: MPSNode(mpsnode_union=MPSExpand(input1_id=2807, output_id=2810, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6494920Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1921]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2811, input2_id=2808, input3_id=490, output_id=2812, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6495280Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1922]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2813, input2_id=2809, input3_id=492, output_id=2814, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6495580Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1923]: MPSNode(mpsnode_union=MPSView(input1_id=2810, output_id=2815, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6495880Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1924]: MPSNode(mpsnode_union=MPSView(input1_id=2812, output_id=2816, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6496170Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1925]: MPSNode(mpsnode_union=MPSView(input1_id=2814, output_id=2817, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6496520Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1926]: MPSNode(mpsnode_union=MPSView(input1_id=2816, output_id=2818, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6496810Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1927]: MPSNode(mpsnode_union=MPSView(input1_id=2817, output_id=2819, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6497120Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1928]: MPSNode(mpsnode_union=MPSPermute(input1_id=2818, output_id=2820, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6497420Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1929]: MPSNode(mpsnode_union=MPSPermute(input1_id=2819, output_id=2821, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6497730Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1930]: MPSNode(mpsnode_union=MPSExpand(input1_id=2820, output_id=2822, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6498080Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1931]: MPSNode(mpsnode_union=MPSPermute(input1_id=2821, output_id=2823, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6498380Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1932]: MPSNode(mpsnode_union=MPSView(input1_id=2822, output_id=2824, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6498740Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1933]: MPSNode(mpsnode_union=MPSExpand(input1_id=2823, output_id=2825, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6499030Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1934]: MPSNode(mpsnode_union=MPSView(input1_id=2825, output_id=2826, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6499310Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1935]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2824, input2_id=2826, output_id=2827), min_max=None) 2025-06-05T19:09:25.6499600Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1936]: MPSNode(mpsnode_union=MPSView(input1_id=2827, output_id=2828, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6499910Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1937]: MPSNode(mpsnode_union=MPSDiv(input1_id=2828, input2_id=2829, output_id=2830, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6500200Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1938]: MPSNode(mpsnode_union=MPSAdd(input1_id=2830, input2_id=743, output_id=2831, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6500500Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1939]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2831, output_id=2832, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6500810Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1940]: MPSNode(mpsnode_union=MPSExpand(input1_id=2832, output_id=2833, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6501100Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1941]: MPSNode(mpsnode_union=MPSView(input1_id=2833, output_id=2834, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6501400Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1942]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2834, input2_id=2815, output_id=2835), min_max=None) 2025-06-05T19:09:25.6501710Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1943]: MPSNode(mpsnode_union=MPSView(input1_id=2835, output_id=2836, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6502010Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1944]: MPSNode(mpsnode_union=MPSPermute(input1_id=2836, output_id=2837, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6502310Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1945]: MPSNode(mpsnode_union=MPSView(input1_id=2837, output_id=2838, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6502600Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1946]: MPSNode(mpsnode_union=MPSView(input1_id=2838, output_id=2839, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6502990Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1947]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2840, input2_id=2839, input3_id=488, output_id=2841, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6503290Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1948]: MPSNode(mpsnode_union=MPSView(input1_id=2841, output_id=2842, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6503580Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1949]: MPSNode(mpsnode_union=MPSAdd(input1_id=2842, input2_id=2804, output_id=2843, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6503840Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1950]: MPSNode(mpsnode_union=MPSMul(input1_id=2843, input2_id=2844, output_id=2845), min_max=None) 2025-06-05T19:09:25.6504180Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1951]: MPSNode(mpsnode_union=MPSAdd(input1_id=2845, input2_id=2846, output_id=2847, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6504470Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1952]: MPSNode(mpsnode_union=MPSView(input1_id=2847, output_id=2848, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6504880Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1953]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2849, input2_id=2848, input3_id=506, output_id=2850, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6505170Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1954]: MPSNode(mpsnode_union=MPSView(input1_id=2850, output_id=2851, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6505410Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1955]: MPSNode(mpsnode_union=MPSReLU(input1_id=2851, output_id=2852), min_max=None) 2025-06-05T19:09:25.6505700Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1956]: MPSNode(mpsnode_union=MPSView(input1_id=2852, output_id=2853, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6506040Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1957]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2854, input2_id=2853, input3_id=504, output_id=2855, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6506340Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1958]: MPSNode(mpsnode_union=MPSView(input1_id=2855, output_id=2856, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6506620Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1959]: MPSNode(mpsnode_union=MPSAdd(input1_id=2856, input2_id=2847, output_id=2857, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6506900Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1960]: MPSNode(mpsnode_union=MPSMul(input1_id=2857, input2_id=2858, output_id=2859), min_max=None) 2025-06-05T19:09:25.6507180Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1961]: MPSNode(mpsnode_union=MPSAdd(input1_id=2859, input2_id=2860, output_id=2861, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6507470Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1962]: MPSNode(mpsnode_union=MPSView(input1_id=2861, output_id=2862, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6507870Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1963]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2863, input2_id=2862, input3_id=510, output_id=2864, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6508170Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1964]: MPSNode(mpsnode_union=MPSView(input1_id=2864, output_id=2865, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6508410Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1965]: MPSNode(mpsnode_union=MPSReLU(input1_id=2865, output_id=2866), min_max=None) 2025-06-05T19:09:25.6508710Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1966]: MPSNode(mpsnode_union=MPSView(input1_id=2866, output_id=2867, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6509120Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1967]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2868, input2_id=2867, input3_id=508, output_id=2869, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6509410Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1968]: MPSNode(mpsnode_union=MPSView(input1_id=2869, output_id=2870, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6509700Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1969]: MPSNode(mpsnode_union=MPSAdd(input1_id=2870, input2_id=2861, output_id=2871, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6509970Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1970]: MPSNode(mpsnode_union=MPSMul(input1_id=2871, input2_id=2872, output_id=2873), min_max=None) 2025-06-05T19:09:25.6510260Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1971]: MPSNode(mpsnode_union=MPSAdd(input1_id=2873, input2_id=2874, output_id=2875, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6510590Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1972]: MPSNode(mpsnode_union=MPSView(input1_id=2875, output_id=2876, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6510940Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1973]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2877, input2_id=2876, input3_id=514, output_id=2878, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6511290Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1974]: MPSNode(mpsnode_union=MPSView(input1_id=2878, output_id=2879, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6511530Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1975]: MPSNode(mpsnode_union=MPSReLU(input1_id=2879, output_id=2880), min_max=None) 2025-06-05T19:09:25.6511820Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1976]: MPSNode(mpsnode_union=MPSView(input1_id=2880, output_id=2881, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6512160Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1977]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2882, input2_id=2881, input3_id=512, output_id=2883, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6512460Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1978]: MPSNode(mpsnode_union=MPSView(input1_id=2883, output_id=2884, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6512740Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1979]: MPSNode(mpsnode_union=MPSAdd(input1_id=2884, input2_id=2875, output_id=2885, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6513020Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1980]: MPSNode(mpsnode_union=MPSMul(input1_id=2885, input2_id=2886, output_id=2887), min_max=None) 2025-06-05T19:09:25.6513300Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1981]: MPSNode(mpsnode_union=MPSAdd(input1_id=2887, input2_id=2888, output_id=2889, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6513590Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1982]: MPSNode(mpsnode_union=MPSView(input1_id=2889, output_id=2890, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6513970Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1983]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2891, input2_id=2890, input3_id=516, output_id=2892, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6514270Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1984]: MPSNode(mpsnode_union=MPSView(input1_id=2892, output_id=2893, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6514510Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1985]: MPSNode(mpsnode_union=MPSReLU(input1_id=2893, output_id=2894), min_max=None) 2025-06-05T19:09:25.6514790Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1986]: MPSNode(mpsnode_union=MPSView(input1_id=2894, output_id=2895, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6515130Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1987]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2896, input2_id=2895, input3_id=498, output_id=2897, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6515480Z [INFO 2025-06-05 19:09:25,579 mps_preprocess.py:288] [1988]: MPSNode(mpsnode_union=MPSView(input1_id=2897, output_id=2898, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6515770Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1989]: MPSNode(mpsnode_union=MPSAdd(input1_id=2898, input2_id=2889, output_id=2899, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6516030Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1990]: MPSNode(mpsnode_union=MPSMul(input1_id=2899, input2_id=2900, output_id=2901), min_max=None) 2025-06-05T19:09:25.6516320Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1991]: MPSNode(mpsnode_union=MPSAdd(input1_id=2901, input2_id=2902, output_id=2903, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6516610Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1992]: MPSNode(mpsnode_union=MPSView(input1_id=2903, output_id=2904, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6517010Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1993]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2905, input2_id=2904, input3_id=496, output_id=2906, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6517350Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1994]: MPSNode(mpsnode_union=MPSView(input1_id=2906, output_id=2907, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6517640Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1995]: MPSNode(mpsnode_union=MPSAdd(input1_id=2907, input2_id=2785, output_id=2908, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6517910Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1996]: MPSNode(mpsnode_union=MPSMul(input1_id=2908, input2_id=2909, output_id=2910), min_max=None) 2025-06-05T19:09:25.6518200Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1997]: MPSNode(mpsnode_union=MPSAdd(input1_id=2910, input2_id=2911, output_id=2912, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6518490Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1998]: MPSNode(mpsnode_union=MPSView(input1_id=2912, output_id=2913, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6518780Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [1999]: MPSNode(mpsnode_union=MPSView(input1_id=2912, output_id=2914, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6519060Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2000]: MPSNode(mpsnode_union=MPSView(input1_id=2912, output_id=2915, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6519400Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2001]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2916, input2_id=2913, input3_id=530, output_id=2917, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6519740Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2002]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2918, input2_id=2914, input3_id=532, output_id=2919, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6520090Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2003]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2920, input2_id=2915, input3_id=524, output_id=2921, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6520420Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2004]: MPSNode(mpsnode_union=MPSView(input1_id=2917, output_id=2922, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6520720Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2005]: MPSNode(mpsnode_union=MPSView(input1_id=2919, output_id=2923, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6521010Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2006]: MPSNode(mpsnode_union=MPSView(input1_id=2921, output_id=2924, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6521280Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2007]: MPSNode(mpsnode_union=MPSMul(input1_id=2922, input2_id=2925, output_id=2926), min_max=None) 2025-06-05T19:09:25.6521600Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2008]: MPSNode(mpsnode_union=MPSMul(input1_id=2923, input2_id=2927, output_id=2928), min_max=None) 2025-06-05T19:09:25.6521900Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2009]: MPSNode(mpsnode_union=MPSView(input1_id=2924, output_id=2929, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6522190Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2010]: MPSNode(mpsnode_union=MPSAdd(input1_id=2926, input2_id=2930, output_id=2931, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6522480Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2011]: MPSNode(mpsnode_union=MPSAdd(input1_id=2928, input2_id=2932, output_id=2933, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6522790Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2012]: MPSNode(mpsnode_union=MPSPermute(input1_id=2929, output_id=2934, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6523120Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2013]: MPSNode(mpsnode_union=MPSView(input1_id=2933, output_id=2935, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6523420Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2014]: MPSNode(mpsnode_union=MPSView(input1_id=2933, output_id=2936, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6523770Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2015]: MPSNode(mpsnode_union=MPSExpand(input1_id=2934, output_id=2937, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6524110Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2016]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2938, input2_id=2935, input3_id=520, output_id=2939, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6524450Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2017]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2940, input2_id=2936, input3_id=522, output_id=2941, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6524750Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2018]: MPSNode(mpsnode_union=MPSView(input1_id=2937, output_id=2942, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6525050Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2019]: MPSNode(mpsnode_union=MPSView(input1_id=2939, output_id=2943, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6525350Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2020]: MPSNode(mpsnode_union=MPSView(input1_id=2941, output_id=2944, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6525640Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2021]: MPSNode(mpsnode_union=MPSView(input1_id=2943, output_id=2945, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6525940Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2022]: MPSNode(mpsnode_union=MPSView(input1_id=2944, output_id=2946, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6526240Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2023]: MPSNode(mpsnode_union=MPSPermute(input1_id=2945, output_id=2947, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6526570Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2024]: MPSNode(mpsnode_union=MPSPermute(input1_id=2946, output_id=2948, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6526880Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2025]: MPSNode(mpsnode_union=MPSExpand(input1_id=2947, output_id=2949, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6527190Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2026]: MPSNode(mpsnode_union=MPSPermute(input1_id=2948, output_id=2950, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6527480Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2027]: MPSNode(mpsnode_union=MPSView(input1_id=2949, output_id=2951, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6527840Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2028]: MPSNode(mpsnode_union=MPSExpand(input1_id=2950, output_id=2952, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6528130Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2029]: MPSNode(mpsnode_union=MPSView(input1_id=2952, output_id=2953, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6528410Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2030]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2951, input2_id=2953, output_id=2954), min_max=None) 2025-06-05T19:09:25.6528710Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2031]: MPSNode(mpsnode_union=MPSView(input1_id=2954, output_id=2955, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6529020Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2032]: MPSNode(mpsnode_union=MPSDiv(input1_id=2955, input2_id=2956, output_id=2957, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6529350Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2033]: MPSNode(mpsnode_union=MPSAdd(input1_id=2957, input2_id=743, output_id=2958, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6529660Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2034]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=2958, output_id=2959, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6530030Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2035]: MPSNode(mpsnode_union=MPSExpand(input1_id=2959, output_id=2960, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6530340Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2036]: MPSNode(mpsnode_union=MPSView(input1_id=2960, output_id=2961, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6530620Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2037]: MPSNode(mpsnode_union=MPSMatMul(input1_id=2961, input2_id=2942, output_id=2962), min_max=None) 2025-06-05T19:09:25.6530930Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2038]: MPSNode(mpsnode_union=MPSView(input1_id=2962, output_id=2963, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6531230Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2039]: MPSNode(mpsnode_union=MPSPermute(input1_id=2963, output_id=2964, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6531520Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2040]: MPSNode(mpsnode_union=MPSView(input1_id=2964, output_id=2965, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6531810Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2041]: MPSNode(mpsnode_union=MPSView(input1_id=2965, output_id=2966, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6532150Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2042]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2967, input2_id=2966, input3_id=518, output_id=2968, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6532450Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2043]: MPSNode(mpsnode_union=MPSView(input1_id=2968, output_id=2969, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6532760Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2044]: MPSNode(mpsnode_union=MPSAdd(input1_id=2969, input2_id=2931, output_id=2970, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6533030Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2045]: MPSNode(mpsnode_union=MPSMul(input1_id=2970, input2_id=2971, output_id=2972), min_max=None) 2025-06-05T19:09:25.6533320Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2046]: MPSNode(mpsnode_union=MPSAdd(input1_id=2972, input2_id=2973, output_id=2974, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6533610Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2047]: MPSNode(mpsnode_union=MPSView(input1_id=2974, output_id=2975, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6533950Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2048]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2976, input2_id=2975, input3_id=536, output_id=2977, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6534320Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2049]: MPSNode(mpsnode_union=MPSView(input1_id=2977, output_id=2978, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6534560Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2050]: MPSNode(mpsnode_union=MPSReLU(input1_id=2978, output_id=2979), min_max=None) 2025-06-05T19:09:25.6534850Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2051]: MPSNode(mpsnode_union=MPSView(input1_id=2979, output_id=2980, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6535200Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2052]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2981, input2_id=2980, input3_id=534, output_id=2982, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6535550Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2053]: MPSNode(mpsnode_union=MPSView(input1_id=2982, output_id=2983, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6535850Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2054]: MPSNode(mpsnode_union=MPSAdd(input1_id=2983, input2_id=2974, output_id=2984, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6536180Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2055]: MPSNode(mpsnode_union=MPSMul(input1_id=2984, input2_id=2985, output_id=2986), min_max=None) 2025-06-05T19:09:25.6536470Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2056]: MPSNode(mpsnode_union=MPSAdd(input1_id=2986, input2_id=2987, output_id=2988, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6536750Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2057]: MPSNode(mpsnode_union=MPSView(input1_id=2988, output_id=2989, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6537100Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2058]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2990, input2_id=2989, input3_id=540, output_id=2991, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6537400Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2059]: MPSNode(mpsnode_union=MPSView(input1_id=2991, output_id=2992, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6537640Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2060]: MPSNode(mpsnode_union=MPSReLU(input1_id=2992, output_id=2993), min_max=None) 2025-06-05T19:09:25.6537930Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2061]: MPSNode(mpsnode_union=MPSView(input1_id=2993, output_id=2994, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6538270Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2062]: MPSNode(mpsnode_union=MPSAddmm(input1_id=2995, input2_id=2994, input3_id=538, output_id=2996, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6538570Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2063]: MPSNode(mpsnode_union=MPSView(input1_id=2996, output_id=2997, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6538860Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2064]: MPSNode(mpsnode_union=MPSAdd(input1_id=2997, input2_id=2988, output_id=2998, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6539160Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2065]: MPSNode(mpsnode_union=MPSMul(input1_id=2998, input2_id=2999, output_id=3000), min_max=None) 2025-06-05T19:09:25.6539450Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2066]: MPSNode(mpsnode_union=MPSAdd(input1_id=3000, input2_id=3001, output_id=3002, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6539730Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2067]: MPSNode(mpsnode_union=MPSView(input1_id=3002, output_id=3003, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6540060Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2068]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3004, input2_id=3003, input3_id=544, output_id=3005, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6540410Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2069]: MPSNode(mpsnode_union=MPSView(input1_id=3005, output_id=3006, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6540650Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2070]: MPSNode(mpsnode_union=MPSReLU(input1_id=3006, output_id=3007), min_max=None) 2025-06-05T19:09:25.6540940Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2071]: MPSNode(mpsnode_union=MPSView(input1_id=3007, output_id=3008, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6541280Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2072]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3009, input2_id=3008, input3_id=542, output_id=3010, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6541570Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2073]: MPSNode(mpsnode_union=MPSView(input1_id=3010, output_id=3011, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6541910Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2074]: MPSNode(mpsnode_union=MPSAdd(input1_id=3011, input2_id=3002, output_id=3012, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6542180Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2075]: MPSNode(mpsnode_union=MPSMul(input1_id=3012, input2_id=3013, output_id=3014), min_max=None) 2025-06-05T19:09:25.6542520Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2076]: MPSNode(mpsnode_union=MPSAdd(input1_id=3014, input2_id=3015, output_id=3016, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6542800Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2077]: MPSNode(mpsnode_union=MPSView(input1_id=3016, output_id=3017, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6543130Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2078]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3018, input2_id=3017, input3_id=546, output_id=3019, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6543430Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2079]: MPSNode(mpsnode_union=MPSView(input1_id=3019, output_id=3020, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6543660Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2080]: MPSNode(mpsnode_union=MPSReLU(input1_id=3020, output_id=3021), min_max=None) 2025-06-05T19:09:25.6543960Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2081]: MPSNode(mpsnode_union=MPSView(input1_id=3021, output_id=3022, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6544290Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2082]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3023, input2_id=3022, input3_id=528, output_id=3024, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6544580Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2083]: MPSNode(mpsnode_union=MPSView(input1_id=3024, output_id=3025, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6544870Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2084]: MPSNode(mpsnode_union=MPSAdd(input1_id=3025, input2_id=3016, output_id=3026, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6545130Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2085]: MPSNode(mpsnode_union=MPSMul(input1_id=3026, input2_id=3027, output_id=3028), min_max=None) 2025-06-05T19:09:25.6545440Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2086]: MPSNode(mpsnode_union=MPSAdd(input1_id=3028, input2_id=3029, output_id=3030, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6545730Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2087]: MPSNode(mpsnode_union=MPSView(input1_id=3030, output_id=3031, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6546070Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2088]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3032, input2_id=3031, input3_id=526, output_id=3033, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6546360Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2089]: MPSNode(mpsnode_union=MPSView(input1_id=3033, output_id=3034, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6546700Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2090]: MPSNode(mpsnode_union=MPSAdd(input1_id=3034, input2_id=2912, output_id=3035, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6546970Z [INFO 2025-06-05 19:09:25,580 mps_preprocess.py:288] [2091]: MPSNode(mpsnode_union=MPSMul(input1_id=3035, input2_id=3036, output_id=3037), min_max=None) 2025-06-05T19:09:25.6547250Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2092]: MPSNode(mpsnode_union=MPSAdd(input1_id=3037, input2_id=3038, output_id=3039, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6547540Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2093]: MPSNode(mpsnode_union=MPSView(input1_id=3039, output_id=3040, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6547820Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2094]: MPSNode(mpsnode_union=MPSView(input1_id=3039, output_id=3041, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6548160Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2095]: MPSNode(mpsnode_union=MPSView(input1_id=3039, output_id=3042, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6548550Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2096]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3043, input2_id=3040, input3_id=560, output_id=3044, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6548890Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2097]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3045, input2_id=3041, input3_id=562, output_id=3046, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6549230Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2098]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3047, input2_id=3042, input3_id=554, output_id=3048, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6549530Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2099]: MPSNode(mpsnode_union=MPSView(input1_id=3044, output_id=3049, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6549830Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2100]: MPSNode(mpsnode_union=MPSView(input1_id=3046, output_id=3050, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6550130Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2101]: MPSNode(mpsnode_union=MPSView(input1_id=3048, output_id=3051, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6550400Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2102]: MPSNode(mpsnode_union=MPSMul(input1_id=3049, input2_id=3052, output_id=3053), min_max=None) 2025-06-05T19:09:25.6550670Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2103]: MPSNode(mpsnode_union=MPSMul(input1_id=3050, input2_id=3054, output_id=3055), min_max=None) 2025-06-05T19:09:25.6550970Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2104]: MPSNode(mpsnode_union=MPSView(input1_id=3051, output_id=3056, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6551260Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2105]: MPSNode(mpsnode_union=MPSAdd(input1_id=3053, input2_id=3057, output_id=3058, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6551570Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2106]: MPSNode(mpsnode_union=MPSAdd(input1_id=3055, input2_id=3059, output_id=3060, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6551890Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2107]: MPSNode(mpsnode_union=MPSPermute(input1_id=3056, output_id=3061, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6552180Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2108]: MPSNode(mpsnode_union=MPSView(input1_id=3060, output_id=3062, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6552470Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2109]: MPSNode(mpsnode_union=MPSView(input1_id=3060, output_id=3063, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6552830Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2110]: MPSNode(mpsnode_union=MPSExpand(input1_id=3061, output_id=3064, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6553180Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2111]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3065, input2_id=3062, input3_id=550, output_id=3066, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6553520Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2112]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3067, input2_id=3063, input3_id=552, output_id=3068, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6553820Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2113]: MPSNode(mpsnode_union=MPSView(input1_id=3064, output_id=3069, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6554110Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2114]: MPSNode(mpsnode_union=MPSView(input1_id=3066, output_id=3070, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6554460Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2115]: MPSNode(mpsnode_union=MPSView(input1_id=3068, output_id=3071, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6554820Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2116]: MPSNode(mpsnode_union=MPSView(input1_id=3070, output_id=3072, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6555120Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2117]: MPSNode(mpsnode_union=MPSView(input1_id=3071, output_id=3073, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6555430Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2118]: MPSNode(mpsnode_union=MPSPermute(input1_id=3072, output_id=3074, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6555730Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2119]: MPSNode(mpsnode_union=MPSPermute(input1_id=3073, output_id=3075, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6556040Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2120]: MPSNode(mpsnode_union=MPSExpand(input1_id=3074, output_id=3076, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6556350Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2121]: MPSNode(mpsnode_union=MPSPermute(input1_id=3075, output_id=3077, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6556640Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2122]: MPSNode(mpsnode_union=MPSView(input1_id=3076, output_id=3078, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6556940Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2123]: MPSNode(mpsnode_union=MPSExpand(input1_id=3077, output_id=3079, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6557230Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2124]: MPSNode(mpsnode_union=MPSView(input1_id=3079, output_id=3080, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6557510Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2125]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3078, input2_id=3080, output_id=3081), min_max=None) 2025-06-05T19:09:25.6557830Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2126]: MPSNode(mpsnode_union=MPSView(input1_id=3081, output_id=3082, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6558130Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2127]: MPSNode(mpsnode_union=MPSDiv(input1_id=3082, input2_id=3083, output_id=3084, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6558420Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2128]: MPSNode(mpsnode_union=MPSAdd(input1_id=3084, input2_id=743, output_id=3085, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6558720Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2129]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3085, output_id=3086, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6559090Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2130]: MPSNode(mpsnode_union=MPSExpand(input1_id=3086, output_id=3087, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6559390Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2131]: MPSNode(mpsnode_union=MPSView(input1_id=3087, output_id=3088, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6559670Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2132]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3088, input2_id=3069, output_id=3089), min_max=None) 2025-06-05T19:09:25.6559970Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2133]: MPSNode(mpsnode_union=MPSView(input1_id=3089, output_id=3090, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6560280Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2134]: MPSNode(mpsnode_union=MPSPermute(input1_id=3090, output_id=3091, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6560620Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2135]: MPSNode(mpsnode_union=MPSView(input1_id=3091, output_id=3092, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6560910Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2136]: MPSNode(mpsnode_union=MPSView(input1_id=3092, output_id=3093, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6561300Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2137]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3094, input2_id=3093, input3_id=548, output_id=3095, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6561590Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2138]: MPSNode(mpsnode_union=MPSView(input1_id=3095, output_id=3096, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6561870Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2139]: MPSNode(mpsnode_union=MPSAdd(input1_id=3096, input2_id=3058, output_id=3097, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6562140Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2140]: MPSNode(mpsnode_union=MPSMul(input1_id=3097, input2_id=3098, output_id=3099), min_max=None) 2025-06-05T19:09:25.6562430Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2141]: MPSNode(mpsnode_union=MPSAdd(input1_id=3099, input2_id=3100, output_id=3101, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6562710Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2142]: MPSNode(mpsnode_union=MPSView(input1_id=3101, output_id=3102, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6563040Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2143]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3103, input2_id=3102, input3_id=566, output_id=3104, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6563330Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2144]: MPSNode(mpsnode_union=MPSView(input1_id=3104, output_id=3105, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6563570Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2145]: MPSNode(mpsnode_union=MPSReLU(input1_id=3105, output_id=3106), min_max=None) 2025-06-05T19:09:25.6563860Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2146]: MPSNode(mpsnode_union=MPSView(input1_id=3106, output_id=3107, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6564230Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2147]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3108, input2_id=3107, input3_id=564, output_id=3109, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6564530Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2148]: MPSNode(mpsnode_union=MPSView(input1_id=3109, output_id=3110, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6564810Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2149]: MPSNode(mpsnode_union=MPSAdd(input1_id=3110, input2_id=3101, output_id=3111, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6565080Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2150]: MPSNode(mpsnode_union=MPSMul(input1_id=3111, input2_id=3112, output_id=3113), min_max=None) 2025-06-05T19:09:25.6565430Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2151]: MPSNode(mpsnode_union=MPSAdd(input1_id=3113, input2_id=3114, output_id=3115, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6565720Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2152]: MPSNode(mpsnode_union=MPSView(input1_id=3115, output_id=3116, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6566060Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2153]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3117, input2_id=3116, input3_id=570, output_id=3118, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6566360Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2154]: MPSNode(mpsnode_union=MPSView(input1_id=3118, output_id=3119, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6566600Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2155]: MPSNode(mpsnode_union=MPSReLU(input1_id=3119, output_id=3120), min_max=None) 2025-06-05T19:09:25.6566950Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2156]: MPSNode(mpsnode_union=MPSView(input1_id=3120, output_id=3121, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6567340Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2157]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3122, input2_id=3121, input3_id=568, output_id=3123, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6567630Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2158]: MPSNode(mpsnode_union=MPSView(input1_id=3123, output_id=3124, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6567910Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2159]: MPSNode(mpsnode_union=MPSAdd(input1_id=3124, input2_id=3115, output_id=3125, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6568180Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2160]: MPSNode(mpsnode_union=MPSMul(input1_id=3125, input2_id=3126, output_id=3127), min_max=None) 2025-06-05T19:09:25.6568470Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2161]: MPSNode(mpsnode_union=MPSAdd(input1_id=3127, input2_id=3128, output_id=3129, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6568760Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2162]: MPSNode(mpsnode_union=MPSView(input1_id=3129, output_id=3130, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6569100Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2163]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3131, input2_id=3130, input3_id=574, output_id=3132, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6569390Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2164]: MPSNode(mpsnode_union=MPSView(input1_id=3132, output_id=3133, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6569620Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2165]: MPSNode(mpsnode_union=MPSReLU(input1_id=3133, output_id=3134), min_max=None) 2025-06-05T19:09:25.6569920Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2166]: MPSNode(mpsnode_union=MPSView(input1_id=3134, output_id=3135, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6570300Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2167]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3136, input2_id=3135, input3_id=572, output_id=3137, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6570590Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2168]: MPSNode(mpsnode_union=MPSView(input1_id=3137, output_id=3138, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6570880Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2169]: MPSNode(mpsnode_union=MPSAdd(input1_id=3138, input2_id=3129, output_id=3139, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6571150Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2170]: MPSNode(mpsnode_union=MPSMul(input1_id=3139, input2_id=3140, output_id=3141), min_max=None) 2025-06-05T19:09:25.6571440Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2171]: MPSNode(mpsnode_union=MPSAdd(input1_id=3141, input2_id=3142, output_id=3143, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6571780Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2172]: MPSNode(mpsnode_union=MPSView(input1_id=3143, output_id=3144, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6572120Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2173]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3145, input2_id=3144, input3_id=576, output_id=3146, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6572420Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2174]: MPSNode(mpsnode_union=MPSView(input1_id=3146, output_id=3147, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6572660Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2175]: MPSNode(mpsnode_union=MPSReLU(input1_id=3147, output_id=3148), min_max=None) 2025-06-05T19:09:25.6572990Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2176]: MPSNode(mpsnode_union=MPSView(input1_id=3148, output_id=3149, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6573340Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2177]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3150, input2_id=3149, input3_id=558, output_id=3151, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6573680Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2178]: MPSNode(mpsnode_union=MPSView(input1_id=3151, output_id=3152, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6573970Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2179]: MPSNode(mpsnode_union=MPSAdd(input1_id=3152, input2_id=3143, output_id=3153, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6574240Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2180]: MPSNode(mpsnode_union=MPSMul(input1_id=3153, input2_id=3154, output_id=3155), min_max=None) 2025-06-05T19:09:25.6574520Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2181]: MPSNode(mpsnode_union=MPSAdd(input1_id=3155, input2_id=3156, output_id=3157, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6574810Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2182]: MPSNode(mpsnode_union=MPSView(input1_id=3157, output_id=3158, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6575150Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2183]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3159, input2_id=3158, input3_id=556, output_id=3160, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6575440Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2184]: MPSNode(mpsnode_union=MPSView(input1_id=3160, output_id=3161, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6575730Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2185]: MPSNode(mpsnode_union=MPSAdd(input1_id=3161, input2_id=3039, output_id=3162, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6576000Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2186]: MPSNode(mpsnode_union=MPSMul(input1_id=3162, input2_id=3163, output_id=3164), min_max=None) 2025-06-05T19:09:25.6576280Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2187]: MPSNode(mpsnode_union=MPSAdd(input1_id=3164, input2_id=3165, output_id=3166, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6576590Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2188]: MPSNode(mpsnode_union=MPSView(input1_id=3166, output_id=3167, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6576880Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2189]: MPSNode(mpsnode_union=MPSView(input1_id=3166, output_id=3168, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6577160Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2190]: MPSNode(mpsnode_union=MPSView(input1_id=3166, output_id=3169, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6577510Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2191]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3170, input2_id=3167, input3_id=590, output_id=3171, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6577890Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2192]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3172, input2_id=3168, input3_id=592, output_id=3173, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6578240Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2193]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3174, input2_id=3169, input3_id=584, output_id=3175, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6578540Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2194]: MPSNode(mpsnode_union=MPSView(input1_id=3171, output_id=3176, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6578840Z [INFO 2025-06-05 19:09:25,581 mps_preprocess.py:288] [2195]: MPSNode(mpsnode_union=MPSView(input1_id=3173, output_id=3177, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6579220Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2196]: MPSNode(mpsnode_union=MPSView(input1_id=3175, output_id=3178, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6579500Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2197]: MPSNode(mpsnode_union=MPSMul(input1_id=3176, input2_id=3179, output_id=3180), min_max=None) 2025-06-05T19:09:25.6579830Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2198]: MPSNode(mpsnode_union=MPSMul(input1_id=3177, input2_id=3181, output_id=3182), min_max=None) 2025-06-05T19:09:25.6580130Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2199]: MPSNode(mpsnode_union=MPSView(input1_id=3178, output_id=3183, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6580420Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2200]: MPSNode(mpsnode_union=MPSAdd(input1_id=3180, input2_id=3184, output_id=3185, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6580700Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2201]: MPSNode(mpsnode_union=MPSAdd(input1_id=3182, input2_id=3186, output_id=3187, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6581000Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2202]: MPSNode(mpsnode_union=MPSPermute(input1_id=3183, output_id=3188, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6581290Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2203]: MPSNode(mpsnode_union=MPSView(input1_id=3187, output_id=3189, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6581580Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2204]: MPSNode(mpsnode_union=MPSView(input1_id=3187, output_id=3190, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6581880Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2205]: MPSNode(mpsnode_union=MPSExpand(input1_id=3188, output_id=3191, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6582220Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2206]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3192, input2_id=3189, input3_id=580, output_id=3193, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6582560Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2207]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3194, input2_id=3190, input3_id=582, output_id=3195, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6582880Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2208]: MPSNode(mpsnode_union=MPSView(input1_id=3191, output_id=3196, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6583170Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2209]: MPSNode(mpsnode_union=MPSView(input1_id=3193, output_id=3197, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6583470Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2210]: MPSNode(mpsnode_union=MPSView(input1_id=3195, output_id=3198, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6583770Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2211]: MPSNode(mpsnode_union=MPSView(input1_id=3197, output_id=3199, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6584130Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2212]: MPSNode(mpsnode_union=MPSView(input1_id=3198, output_id=3200, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6584440Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2213]: MPSNode(mpsnode_union=MPSPermute(input1_id=3199, output_id=3201, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6584740Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2214]: MPSNode(mpsnode_union=MPSPermute(input1_id=3200, output_id=3202, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6585040Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2215]: MPSNode(mpsnode_union=MPSExpand(input1_id=3201, output_id=3203, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6585350Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2216]: MPSNode(mpsnode_union=MPSPermute(input1_id=3202, output_id=3204, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6585690Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2217]: MPSNode(mpsnode_union=MPSView(input1_id=3203, output_id=3205, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6586050Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2218]: MPSNode(mpsnode_union=MPSExpand(input1_id=3204, output_id=3206, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6586350Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2219]: MPSNode(mpsnode_union=MPSView(input1_id=3206, output_id=3207, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6586620Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2220]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3205, input2_id=3207, output_id=3208), min_max=None) 2025-06-05T19:09:25.6586920Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2221]: MPSNode(mpsnode_union=MPSView(input1_id=3208, output_id=3209, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6587230Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2222]: MPSNode(mpsnode_union=MPSDiv(input1_id=3209, input2_id=3210, output_id=3211, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6587510Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2223]: MPSNode(mpsnode_union=MPSAdd(input1_id=3211, input2_id=743, output_id=3212, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6587810Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2224]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3212, output_id=3213, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6588120Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2225]: MPSNode(mpsnode_union=MPSExpand(input1_id=3213, output_id=3214, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6588410Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2226]: MPSNode(mpsnode_union=MPSView(input1_id=3214, output_id=3215, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6588690Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2227]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3215, input2_id=3196, output_id=3216), min_max=None) 2025-06-05T19:09:25.6589020Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2228]: MPSNode(mpsnode_union=MPSView(input1_id=3216, output_id=3217, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6589320Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2229]: MPSNode(mpsnode_union=MPSPermute(input1_id=3217, output_id=3218, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6589620Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2230]: MPSNode(mpsnode_union=MPSView(input1_id=3218, output_id=3219, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6593660Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2231]: MPSNode(mpsnode_union=MPSView(input1_id=3219, output_id=3220, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6594000Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2232]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3221, input2_id=3220, input3_id=578, output_id=3222, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6594380Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2233]: MPSNode(mpsnode_union=MPSView(input1_id=3222, output_id=3223, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6594670Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2234]: MPSNode(mpsnode_union=MPSAdd(input1_id=3223, input2_id=3185, output_id=3224, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6594940Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2235]: MPSNode(mpsnode_union=MPSMul(input1_id=3224, input2_id=3225, output_id=3226), min_max=None) 2025-06-05T19:09:25.6595220Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2236]: MPSNode(mpsnode_union=MPSAdd(input1_id=3226, input2_id=3227, output_id=3228, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6595560Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2237]: MPSNode(mpsnode_union=MPSView(input1_id=3228, output_id=3229, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6595910Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2238]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3230, input2_id=3229, input3_id=596, output_id=3231, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6596250Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2239]: MPSNode(mpsnode_union=MPSView(input1_id=3231, output_id=3232, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6596490Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2240]: MPSNode(mpsnode_union=MPSReLU(input1_id=3232, output_id=3233), min_max=None) 2025-06-05T19:09:25.6596770Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2241]: MPSNode(mpsnode_union=MPSView(input1_id=3233, output_id=3234, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6597120Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2242]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3235, input2_id=3234, input3_id=594, output_id=3236, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6597420Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2243]: MPSNode(mpsnode_union=MPSView(input1_id=3236, output_id=3237, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6597700Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2244]: MPSNode(mpsnode_union=MPSAdd(input1_id=3237, input2_id=3228, output_id=3238, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6597960Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2245]: MPSNode(mpsnode_union=MPSMul(input1_id=3238, input2_id=3239, output_id=3240), min_max=None) 2025-06-05T19:09:25.6598240Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2246]: MPSNode(mpsnode_union=MPSAdd(input1_id=3240, input2_id=3241, output_id=3242, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6598530Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2247]: MPSNode(mpsnode_union=MPSView(input1_id=3242, output_id=3243, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6598870Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2248]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3244, input2_id=3243, input3_id=600, output_id=3245, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6599210Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2249]: MPSNode(mpsnode_union=MPSView(input1_id=3245, output_id=3246, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6599450Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2250]: MPSNode(mpsnode_union=MPSReLU(input1_id=3246, output_id=3247), min_max=None) 2025-06-05T19:09:25.6599740Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2251]: MPSNode(mpsnode_union=MPSView(input1_id=3247, output_id=3248, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6600070Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2252]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3249, input2_id=3248, input3_id=598, output_id=3250, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6600430Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2253]: MPSNode(mpsnode_union=MPSView(input1_id=3250, output_id=3251, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6600720Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2254]: MPSNode(mpsnode_union=MPSAdd(input1_id=3251, input2_id=3242, output_id=3252, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6600990Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2255]: MPSNode(mpsnode_union=MPSMul(input1_id=3252, input2_id=3253, output_id=3254), min_max=None) 2025-06-05T19:09:25.6601270Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2256]: MPSNode(mpsnode_union=MPSAdd(input1_id=3254, input2_id=3255, output_id=3256, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6601560Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2257]: MPSNode(mpsnode_union=MPSView(input1_id=3256, output_id=3257, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6601940Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2258]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3258, input2_id=3257, input3_id=604, output_id=3259, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6602280Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2259]: MPSNode(mpsnode_union=MPSView(input1_id=3259, output_id=3260, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6602520Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2260]: MPSNode(mpsnode_union=MPSReLU(input1_id=3260, output_id=3261), min_max=None) 2025-06-05T19:09:25.6602810Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2261]: MPSNode(mpsnode_union=MPSView(input1_id=3261, output_id=3262, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6603140Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2262]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3263, input2_id=3262, input3_id=602, output_id=3264, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6603430Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2263]: MPSNode(mpsnode_union=MPSView(input1_id=3264, output_id=3265, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6603720Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2264]: MPSNode(mpsnode_union=MPSAdd(input1_id=3265, input2_id=3256, output_id=3266, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6603990Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2265]: MPSNode(mpsnode_union=MPSMul(input1_id=3266, input2_id=3267, output_id=3268), min_max=None) 2025-06-05T19:09:25.6604270Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2266]: MPSNode(mpsnode_union=MPSAdd(input1_id=3268, input2_id=3269, output_id=3270, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6604560Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2267]: MPSNode(mpsnode_union=MPSView(input1_id=3270, output_id=3271, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6604900Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2268]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3272, input2_id=3271, input3_id=606, output_id=3273, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6605210Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2269]: MPSNode(mpsnode_union=MPSView(input1_id=3273, output_id=3274, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6605460Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2270]: MPSNode(mpsnode_union=MPSReLU(input1_id=3274, output_id=3275), min_max=None) 2025-06-05T19:09:25.6605750Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2271]: MPSNode(mpsnode_union=MPSView(input1_id=3275, output_id=3276, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6606080Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2272]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3277, input2_id=3276, input3_id=588, output_id=3278, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6606380Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2273]: MPSNode(mpsnode_union=MPSView(input1_id=3278, output_id=3279, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6606710Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2274]: MPSNode(mpsnode_union=MPSAdd(input1_id=3279, input2_id=3270, output_id=3280, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6606980Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2275]: MPSNode(mpsnode_union=MPSMul(input1_id=3280, input2_id=3281, output_id=3282), min_max=None) 2025-06-05T19:09:25.6607260Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2276]: MPSNode(mpsnode_union=MPSAdd(input1_id=3282, input2_id=3283, output_id=3284, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6607540Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2277]: MPSNode(mpsnode_union=MPSView(input1_id=3284, output_id=3285, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6607960Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2278]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3286, input2_id=3285, input3_id=586, output_id=3287, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6608270Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2279]: MPSNode(mpsnode_union=MPSView(input1_id=3287, output_id=3288, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6608620Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2280]: MPSNode(mpsnode_union=MPSAdd(input1_id=3288, input2_id=3166, output_id=3289, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6608890Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2281]: MPSNode(mpsnode_union=MPSMul(input1_id=3289, input2_id=3290, output_id=3291), min_max=None) 2025-06-05T19:09:25.6609170Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2282]: MPSNode(mpsnode_union=MPSAdd(input1_id=3291, input2_id=3292, output_id=3293, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6609460Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2283]: MPSNode(mpsnode_union=MPSView(input1_id=3293, output_id=3294, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6609740Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2284]: MPSNode(mpsnode_union=MPSView(input1_id=3293, output_id=3295, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6610030Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2285]: MPSNode(mpsnode_union=MPSView(input1_id=3293, output_id=3296, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6610370Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2286]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3297, input2_id=3294, input3_id=620, output_id=3298, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6610700Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2287]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3299, input2_id=3295, input3_id=622, output_id=3300, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6611040Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2288]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3301, input2_id=3296, input3_id=614, output_id=3302, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6611340Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2289]: MPSNode(mpsnode_union=MPSView(input1_id=3298, output_id=3303, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6611650Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2290]: MPSNode(mpsnode_union=MPSView(input1_id=3300, output_id=3304, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6611940Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2291]: MPSNode(mpsnode_union=MPSView(input1_id=3302, output_id=3305, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6612200Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2292]: MPSNode(mpsnode_union=MPSMul(input1_id=3303, input2_id=3306, output_id=3307), min_max=None) 2025-06-05T19:09:25.6612470Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2293]: MPSNode(mpsnode_union=MPSMul(input1_id=3304, input2_id=3308, output_id=3309), min_max=None) 2025-06-05T19:09:25.6612830Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2294]: MPSNode(mpsnode_union=MPSView(input1_id=3305, output_id=3310, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6613110Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2295]: MPSNode(mpsnode_union=MPSAdd(input1_id=3307, input2_id=3311, output_id=3312, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6613400Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2296]: MPSNode(mpsnode_union=MPSAdd(input1_id=3309, input2_id=3313, output_id=3314, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6613710Z [INFO 2025-06-05 19:09:25,582 mps_preprocess.py:288] [2297]: MPSNode(mpsnode_union=MPSPermute(input1_id=3310, output_id=3315, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6614010Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2298]: MPSNode(mpsnode_union=MPSView(input1_id=3314, output_id=3316, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6614340Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2299]: MPSNode(mpsnode_union=MPSView(input1_id=3314, output_id=3317, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6614700Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2300]: MPSNode(mpsnode_union=MPSExpand(input1_id=3315, output_id=3318, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6615030Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2301]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3319, input2_id=3316, input3_id=610, output_id=3320, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6615370Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2302]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3321, input2_id=3317, input3_id=612, output_id=3322, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6615660Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2303]: MPSNode(mpsnode_union=MPSView(input1_id=3318, output_id=3323, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6615950Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2304]: MPSNode(mpsnode_union=MPSView(input1_id=3320, output_id=3324, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6616240Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2305]: MPSNode(mpsnode_union=MPSView(input1_id=3322, output_id=3325, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6616530Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2306]: MPSNode(mpsnode_union=MPSView(input1_id=3324, output_id=3326, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6616830Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2307]: MPSNode(mpsnode_union=MPSView(input1_id=3325, output_id=3327, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6617130Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2308]: MPSNode(mpsnode_union=MPSPermute(input1_id=3326, output_id=3328, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6617430Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2309]: MPSNode(mpsnode_union=MPSPermute(input1_id=3327, output_id=3329, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6617790Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2310]: MPSNode(mpsnode_union=MPSExpand(input1_id=3328, output_id=3330, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6618090Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2311]: MPSNode(mpsnode_union=MPSPermute(input1_id=3329, output_id=3331, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6618380Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2312]: MPSNode(mpsnode_union=MPSView(input1_id=3330, output_id=3332, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6618690Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2313]: MPSNode(mpsnode_union=MPSExpand(input1_id=3331, output_id=3333, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6619050Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2314]: MPSNode(mpsnode_union=MPSView(input1_id=3333, output_id=3334, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6619330Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2315]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3332, input2_id=3334, output_id=3335), min_max=None) 2025-06-05T19:09:25.6619620Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2316]: MPSNode(mpsnode_union=MPSView(input1_id=3335, output_id=3336, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6619920Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2317]: MPSNode(mpsnode_union=MPSDiv(input1_id=3336, input2_id=3337, output_id=3338, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6620200Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2318]: MPSNode(mpsnode_union=MPSAdd(input1_id=3338, input2_id=743, output_id=3339, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6620560Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2319]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3339, output_id=3340, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6620870Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2320]: MPSNode(mpsnode_union=MPSExpand(input1_id=3340, output_id=3341, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6621220Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2321]: MPSNode(mpsnode_union=MPSView(input1_id=3341, output_id=3342, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6621490Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2322]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3342, input2_id=3323, output_id=3343), min_max=None) 2025-06-05T19:09:25.6621780Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2323]: MPSNode(mpsnode_union=MPSView(input1_id=3343, output_id=3344, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6622090Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2324]: MPSNode(mpsnode_union=MPSPermute(input1_id=3344, output_id=3345, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6622380Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2325]: MPSNode(mpsnode_union=MPSView(input1_id=3345, output_id=3346, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6622670Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2326]: MPSNode(mpsnode_union=MPSView(input1_id=3346, output_id=3347, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6623010Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2327]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3348, input2_id=3347, input3_id=608, output_id=3349, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6623300Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2328]: MPSNode(mpsnode_union=MPSView(input1_id=3349, output_id=3350, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6623580Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2329]: MPSNode(mpsnode_union=MPSAdd(input1_id=3350, input2_id=3312, output_id=3351, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6623880Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2330]: MPSNode(mpsnode_union=MPSMul(input1_id=3351, input2_id=3352, output_id=3353), min_max=None) 2025-06-05T19:09:25.6624160Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2331]: MPSNode(mpsnode_union=MPSAdd(input1_id=3353, input2_id=3354, output_id=3355, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6624450Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2332]: MPSNode(mpsnode_union=MPSView(input1_id=3355, output_id=3356, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6624780Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2333]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3357, input2_id=3356, input3_id=626, output_id=3358, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6625070Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2334]: MPSNode(mpsnode_union=MPSView(input1_id=3358, output_id=3359, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6625400Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2335]: MPSNode(mpsnode_union=MPSReLU(input1_id=3359, output_id=3360), min_max=None) 2025-06-05T19:09:25.6625690Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2336]: MPSNode(mpsnode_union=MPSView(input1_id=3360, output_id=3361, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6626030Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2337]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3362, input2_id=3361, input3_id=624, output_id=3363, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6626320Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2338]: MPSNode(mpsnode_union=MPSView(input1_id=3363, output_id=3364, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6626660Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2339]: MPSNode(mpsnode_union=MPSAdd(input1_id=3364, input2_id=3355, output_id=3365, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6626930Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2340]: MPSNode(mpsnode_union=MPSMul(input1_id=3365, input2_id=3366, output_id=3367), min_max=None) 2025-06-05T19:09:25.6627270Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2341]: MPSNode(mpsnode_union=MPSAdd(input1_id=3367, input2_id=3368, output_id=3369, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6627550Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2342]: MPSNode(mpsnode_union=MPSView(input1_id=3369, output_id=3370, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6627880Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2343]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3371, input2_id=3370, input3_id=630, output_id=3372, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6628180Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2344]: MPSNode(mpsnode_union=MPSView(input1_id=3372, output_id=3373, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6628410Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2345]: MPSNode(mpsnode_union=MPSReLU(input1_id=3373, output_id=3374), min_max=None) 2025-06-05T19:09:25.6628700Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2346]: MPSNode(mpsnode_union=MPSView(input1_id=3374, output_id=3375, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6629030Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2347]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3376, input2_id=3375, input3_id=628, output_id=3377, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6629330Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2348]: MPSNode(mpsnode_union=MPSView(input1_id=3377, output_id=3378, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6629610Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2349]: MPSNode(mpsnode_union=MPSAdd(input1_id=3378, input2_id=3369, output_id=3379, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6629880Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2350]: MPSNode(mpsnode_union=MPSMul(input1_id=3379, input2_id=3380, output_id=3381), min_max=None) 2025-06-05T19:09:25.6630200Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2351]: MPSNode(mpsnode_union=MPSAdd(input1_id=3381, input2_id=3382, output_id=3383, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6630480Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2352]: MPSNode(mpsnode_union=MPSView(input1_id=3383, output_id=3384, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6630820Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2353]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3385, input2_id=3384, input3_id=634, output_id=3386, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6631110Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2354]: MPSNode(mpsnode_union=MPSView(input1_id=3386, output_id=3387, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6631410Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2355]: MPSNode(mpsnode_union=MPSReLU(input1_id=3387, output_id=3388), min_max=None) 2025-06-05T19:09:25.6631700Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2356]: MPSNode(mpsnode_union=MPSView(input1_id=3388, output_id=3389, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6632030Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2357]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3390, input2_id=3389, input3_id=632, output_id=3391, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6632320Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2358]: MPSNode(mpsnode_union=MPSView(input1_id=3391, output_id=3392, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6632600Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2359]: MPSNode(mpsnode_union=MPSAdd(input1_id=3392, input2_id=3383, output_id=3393, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6632930Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2360]: MPSNode(mpsnode_union=MPSMul(input1_id=3393, input2_id=3394, output_id=3395), min_max=None) 2025-06-05T19:09:25.6633220Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2361]: MPSNode(mpsnode_union=MPSAdd(input1_id=3395, input2_id=3396, output_id=3397, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6633570Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2362]: MPSNode(mpsnode_union=MPSView(input1_id=3397, output_id=3398, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6633900Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2363]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3399, input2_id=3398, input3_id=636, output_id=3400, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6634190Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2364]: MPSNode(mpsnode_union=MPSView(input1_id=3400, output_id=3401, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6634430Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2365]: MPSNode(mpsnode_union=MPSReLU(input1_id=3401, output_id=3402), min_max=None) 2025-06-05T19:09:25.6634730Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2366]: MPSNode(mpsnode_union=MPSView(input1_id=3402, output_id=3403, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6635060Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2367]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3404, input2_id=3403, input3_id=618, output_id=3405, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6635350Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2368]: MPSNode(mpsnode_union=MPSView(input1_id=3405, output_id=3406, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6635640Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2369]: MPSNode(mpsnode_union=MPSAdd(input1_id=3406, input2_id=3397, output_id=3407, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6635900Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2370]: MPSNode(mpsnode_union=MPSMul(input1_id=3407, input2_id=3408, output_id=3409), min_max=None) 2025-06-05T19:09:25.6636230Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2371]: MPSNode(mpsnode_union=MPSAdd(input1_id=3409, input2_id=3410, output_id=3411, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6636520Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2372]: MPSNode(mpsnode_union=MPSView(input1_id=3411, output_id=3412, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6636860Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2373]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3413, input2_id=3412, input3_id=616, output_id=3414, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6637150Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2374]: MPSNode(mpsnode_union=MPSView(input1_id=3414, output_id=3415, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6637430Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2375]: MPSNode(mpsnode_union=MPSAdd(input1_id=3415, input2_id=3293, output_id=3416, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6637780Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2376]: MPSNode(mpsnode_union=MPSMul(input1_id=3416, input2_id=3417, output_id=3418), min_max=None) 2025-06-05T19:09:25.6638070Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2377]: MPSNode(mpsnode_union=MPSAdd(input1_id=3418, input2_id=3419, output_id=3420, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6638350Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2378]: MPSNode(mpsnode_union=MPSView(input1_id=3420, output_id=3421, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6638630Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2379]: MPSNode(mpsnode_union=MPSView(input1_id=3420, output_id=3422, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6638970Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2380]: MPSNode(mpsnode_union=MPSView(input1_id=3420, output_id=3423, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6639310Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2381]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3424, input2_id=3421, input3_id=650, output_id=3425, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6639720Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2382]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3426, input2_id=3422, input3_id=652, output_id=3427, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6640050Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2383]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3428, input2_id=3423, input3_id=644, output_id=3429, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6640340Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2384]: MPSNode(mpsnode_union=MPSView(input1_id=3425, output_id=3430, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6640640Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2385]: MPSNode(mpsnode_union=MPSView(input1_id=3427, output_id=3431, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6640930Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2386]: MPSNode(mpsnode_union=MPSView(input1_id=3429, output_id=3432, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6641190Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2387]: MPSNode(mpsnode_union=MPSMul(input1_id=3430, input2_id=3433, output_id=3434), min_max=None) 2025-06-05T19:09:25.6641460Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2388]: MPSNode(mpsnode_union=MPSMul(input1_id=3431, input2_id=3435, output_id=3436), min_max=None) 2025-06-05T19:09:25.6641750Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2389]: MPSNode(mpsnode_union=MPSView(input1_id=3432, output_id=3437, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6642030Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2390]: MPSNode(mpsnode_union=MPSAdd(input1_id=3434, input2_id=3438, output_id=3439, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6642310Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2391]: MPSNode(mpsnode_union=MPSAdd(input1_id=3436, input2_id=3440, output_id=3441, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6642650Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2392]: MPSNode(mpsnode_union=MPSPermute(input1_id=3437, output_id=3442, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6642940Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2393]: MPSNode(mpsnode_union=MPSView(input1_id=3441, output_id=3443, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6643220Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2394]: MPSNode(mpsnode_union=MPSView(input1_id=3441, output_id=3444, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6643520Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2395]: MPSNode(mpsnode_union=MPSExpand(input1_id=3442, output_id=3445, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6643920Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2396]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3446, input2_id=3443, input3_id=640, output_id=3447, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6644250Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2397]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3448, input2_id=3444, input3_id=642, output_id=3449, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6644540Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2398]: MPSNode(mpsnode_union=MPSView(input1_id=3445, output_id=3450, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6644830Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2399]: MPSNode(mpsnode_union=MPSView(input1_id=3447, output_id=3451, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6645290Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2400]: MPSNode(mpsnode_union=MPSView(input1_id=3449, output_id=3452, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6645590Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2401]: MPSNode(mpsnode_union=MPSView(input1_id=3451, output_id=3453, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6645980Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2402]: MPSNode(mpsnode_union=MPSView(input1_id=3452, output_id=3454, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6646280Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2403]: MPSNode(mpsnode_union=MPSPermute(input1_id=3453, output_id=3455, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6646570Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2404]: MPSNode(mpsnode_union=MPSPermute(input1_id=3454, output_id=3456, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6646870Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2405]: MPSNode(mpsnode_union=MPSExpand(input1_id=3455, output_id=3457, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6647170Z [INFO 2025-06-05 19:09:25,583 mps_preprocess.py:288] [2406]: MPSNode(mpsnode_union=MPSPermute(input1_id=3456, output_id=3458, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6647460Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2407]: MPSNode(mpsnode_union=MPSView(input1_id=3457, output_id=3459, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6647760Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2408]: MPSNode(mpsnode_union=MPSExpand(input1_id=3458, output_id=3460, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6648050Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2409]: MPSNode(mpsnode_union=MPSView(input1_id=3460, output_id=3461, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6648320Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2410]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3459, input2_id=3461, output_id=3462), min_max=None) 2025-06-05T19:09:25.6648620Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2411]: MPSNode(mpsnode_union=MPSView(input1_id=3462, output_id=3463, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6648960Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2412]: MPSNode(mpsnode_union=MPSDiv(input1_id=3463, input2_id=3464, output_id=3465, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6649240Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2413]: MPSNode(mpsnode_union=MPSAdd(input1_id=3465, input2_id=743, output_id=3466, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6649540Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2414]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3466, output_id=3467, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6649840Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2415]: MPSNode(mpsnode_union=MPSExpand(input1_id=3467, output_id=3468, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6650190Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2416]: MPSNode(mpsnode_union=MPSView(input1_id=3468, output_id=3469, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6650460Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2417]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3469, input2_id=3450, output_id=3470), min_max=None) 2025-06-05T19:09:25.6650750Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2418]: MPSNode(mpsnode_union=MPSView(input1_id=3470, output_id=3471, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6651050Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2419]: MPSNode(mpsnode_union=MPSPermute(input1_id=3471, output_id=3472, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6651340Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2420]: MPSNode(mpsnode_union=MPSView(input1_id=3472, output_id=3473, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6651690Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2421]: MPSNode(mpsnode_union=MPSView(input1_id=3473, output_id=3474, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6652030Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2422]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3475, input2_id=3474, input3_id=638, output_id=3476, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6652370Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2423]: MPSNode(mpsnode_union=MPSView(input1_id=3476, output_id=3477, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6652650Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2424]: MPSNode(mpsnode_union=MPSAdd(input1_id=3477, input2_id=3439, output_id=3478, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6652920Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2425]: MPSNode(mpsnode_union=MPSMul(input1_id=3478, input2_id=3479, output_id=3480), min_max=None) 2025-06-05T19:09:25.6653200Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2426]: MPSNode(mpsnode_union=MPSAdd(input1_id=3480, input2_id=3481, output_id=3482, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6653490Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2427]: MPSNode(mpsnode_union=MPSView(input1_id=3482, output_id=3483, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6653820Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2428]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3484, input2_id=3483, input3_id=656, output_id=3485, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6654110Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2429]: MPSNode(mpsnode_union=MPSView(input1_id=3485, output_id=3486, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6654340Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2430]: MPSNode(mpsnode_union=MPSReLU(input1_id=3486, output_id=3487), min_max=None) 2025-06-05T19:09:25.6654630Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2431]: MPSNode(mpsnode_union=MPSView(input1_id=3487, output_id=3488, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6655010Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2432]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3489, input2_id=3488, input3_id=654, output_id=3490, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6655310Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2433]: MPSNode(mpsnode_union=MPSView(input1_id=3490, output_id=3491, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6655580Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2434]: MPSNode(mpsnode_union=MPSAdd(input1_id=3491, input2_id=3482, output_id=3492, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6655850Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2435]: MPSNode(mpsnode_union=MPSMul(input1_id=3492, input2_id=3493, output_id=3494), min_max=None) 2025-06-05T19:09:25.6656130Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2436]: MPSNode(mpsnode_union=MPSAdd(input1_id=3494, input2_id=3495, output_id=3496, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6656460Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2437]: MPSNode(mpsnode_union=MPSView(input1_id=3496, output_id=3497, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6656800Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2438]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3498, input2_id=3497, input3_id=660, output_id=3499, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6657090Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2439]: MPSNode(mpsnode_union=MPSView(input1_id=3499, output_id=3500, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6657320Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2440]: MPSNode(mpsnode_union=MPSReLU(input1_id=3500, output_id=3501), min_max=None) 2025-06-05T19:09:25.6657670Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2441]: MPSNode(mpsnode_union=MPSView(input1_id=3501, output_id=3502, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6658010Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2442]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3503, input2_id=3502, input3_id=658, output_id=3504, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6658370Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2443]: MPSNode(mpsnode_union=MPSView(input1_id=3504, output_id=3505, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6658650Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2444]: MPSNode(mpsnode_union=MPSAdd(input1_id=3505, input2_id=3496, output_id=3506, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6658920Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2445]: MPSNode(mpsnode_union=MPSMul(input1_id=3506, input2_id=3507, output_id=3508), min_max=None) 2025-06-05T19:09:25.6659200Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2446]: MPSNode(mpsnode_union=MPSAdd(input1_id=3508, input2_id=3509, output_id=3510, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6659490Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2447]: MPSNode(mpsnode_union=MPSView(input1_id=3510, output_id=3511, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6659830Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2448]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3512, input2_id=3511, input3_id=664, output_id=3513, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6660120Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2449]: MPSNode(mpsnode_union=MPSView(input1_id=3513, output_id=3514, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6660350Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2450]: MPSNode(mpsnode_union=MPSReLU(input1_id=3514, output_id=3515), min_max=None) 2025-06-05T19:09:25.6660630Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2451]: MPSNode(mpsnode_union=MPSView(input1_id=3515, output_id=3516, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6660970Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2452]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3517, input2_id=3516, input3_id=662, output_id=3518, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6661280Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2453]: MPSNode(mpsnode_union=MPSView(input1_id=3518, output_id=3519, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6661570Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2454]: MPSNode(mpsnode_union=MPSAdd(input1_id=3519, input2_id=3510, output_id=3520, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6661830Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2455]: MPSNode(mpsnode_union=MPSMul(input1_id=3520, input2_id=3521, output_id=3522), min_max=None) 2025-06-05T19:09:25.6662110Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2456]: MPSNode(mpsnode_union=MPSAdd(input1_id=3522, input2_id=3523, output_id=3524, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6662460Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2457]: MPSNode(mpsnode_union=MPSView(input1_id=3524, output_id=3525, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6662790Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2458]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3526, input2_id=3525, input3_id=666, output_id=3527, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6663080Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2459]: MPSNode(mpsnode_union=MPSView(input1_id=3527, output_id=3528, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6663310Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2460]: MPSNode(mpsnode_union=MPSReLU(input1_id=3528, output_id=3529), min_max=None) 2025-06-05T19:09:25.6663600Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2461]: MPSNode(mpsnode_union=MPSView(input1_id=3529, output_id=3530, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6663970Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2462]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3531, input2_id=3530, input3_id=648, output_id=3532, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6664270Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2463]: MPSNode(mpsnode_union=MPSView(input1_id=3532, output_id=3533, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6664610Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2464]: MPSNode(mpsnode_union=MPSAdd(input1_id=3533, input2_id=3524, output_id=3534, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6664870Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2465]: MPSNode(mpsnode_union=MPSMul(input1_id=3534, input2_id=3535, output_id=3536), min_max=None) 2025-06-05T19:09:25.6665150Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2466]: MPSNode(mpsnode_union=MPSAdd(input1_id=3536, input2_id=3537, output_id=3538, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6665430Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2467]: MPSNode(mpsnode_union=MPSView(input1_id=3538, output_id=3539, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6665770Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2468]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3540, input2_id=3539, input3_id=646, output_id=3541, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6666060Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2469]: MPSNode(mpsnode_union=MPSView(input1_id=3541, output_id=3542, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6666340Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2470]: MPSNode(mpsnode_union=MPSAdd(input1_id=3542, input2_id=3420, output_id=3543, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6666600Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2471]: MPSNode(mpsnode_union=MPSMul(input1_id=3543, input2_id=3544, output_id=3545), min_max=None) 2025-06-05T19:09:25.6666880Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2472]: MPSNode(mpsnode_union=MPSAdd(input1_id=3545, input2_id=3546, output_id=3547, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6667160Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2473]: MPSNode(mpsnode_union=MPSView(input1_id=3547, output_id=3548, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6667490Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2474]: MPSNode(mpsnode_union=MPSView(input1_id=3547, output_id=3549, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6667780Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2475]: MPSNode(mpsnode_union=MPSView(input1_id=3547, output_id=3550, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6668110Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2476]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3551, input2_id=3548, input3_id=680, output_id=3552, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6668440Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2477]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3553, input2_id=3549, input3_id=682, output_id=3554, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6668830Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2478]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3555, input2_id=3550, input3_id=674, output_id=3556, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6669120Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2479]: MPSNode(mpsnode_union=MPSView(input1_id=3552, output_id=3557, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6669410Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2480]: MPSNode(mpsnode_union=MPSView(input1_id=3554, output_id=3558, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6669700Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2481]: MPSNode(mpsnode_union=MPSView(input1_id=3556, output_id=3559, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6670020Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2482]: MPSNode(mpsnode_union=MPSMul(input1_id=3557, input2_id=3560, output_id=3561), min_max=None) 2025-06-05T19:09:25.6670290Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2483]: MPSNode(mpsnode_union=MPSMul(input1_id=3558, input2_id=3562, output_id=3563), min_max=None) 2025-06-05T19:09:25.6670640Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2484]: MPSNode(mpsnode_union=MPSView(input1_id=3559, output_id=3564, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6670920Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2485]: MPSNode(mpsnode_union=MPSAdd(input1_id=3561, input2_id=3565, output_id=3566, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6671200Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2486]: MPSNode(mpsnode_union=MPSAdd(input1_id=3563, input2_id=3567, output_id=3568, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6671500Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2487]: MPSNode(mpsnode_union=MPSPermute(input1_id=3564, output_id=3569, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6671780Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2488]: MPSNode(mpsnode_union=MPSView(input1_id=3568, output_id=3570, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6672070Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2489]: MPSNode(mpsnode_union=MPSView(input1_id=3568, output_id=3571, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6672370Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2490]: MPSNode(mpsnode_union=MPSExpand(input1_id=3569, output_id=3572, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6672700Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2491]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3573, input2_id=3570, input3_id=670, output_id=3574, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6673040Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2492]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3575, input2_id=3571, input3_id=672, output_id=3576, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6673330Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2493]: MPSNode(mpsnode_union=MPSView(input1_id=3572, output_id=3577, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6673640Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2494]: MPSNode(mpsnode_union=MPSView(input1_id=3574, output_id=3578, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6673930Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2495]: MPSNode(mpsnode_union=MPSView(input1_id=3576, output_id=3579, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6674230Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2496]: MPSNode(mpsnode_union=MPSView(input1_id=3578, output_id=3580, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6674530Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2497]: MPSNode(mpsnode_union=MPSView(input1_id=3579, output_id=3581, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6674880Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2498]: MPSNode(mpsnode_union=MPSPermute(input1_id=3580, output_id=3582, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6675180Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2499]: MPSNode(mpsnode_union=MPSPermute(input1_id=3581, output_id=3583, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6675490Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2500]: MPSNode(mpsnode_union=MPSExpand(input1_id=3582, output_id=3584, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6675790Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2501]: MPSNode(mpsnode_union=MPSPermute(input1_id=3583, output_id=3585, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6676120Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2502]: MPSNode(mpsnode_union=MPSView(input1_id=3584, output_id=3586, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6676430Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2503]: MPSNode(mpsnode_union=MPSExpand(input1_id=3585, output_id=3587, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6676760Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2504]: MPSNode(mpsnode_union=MPSView(input1_id=3587, output_id=3588, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6677040Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2505]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3586, input2_id=3588, output_id=3589), min_max=None) 2025-06-05T19:09:25.6677330Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2506]: MPSNode(mpsnode_union=MPSView(input1_id=3589, output_id=3590, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6677640Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2507]: MPSNode(mpsnode_union=MPSDiv(input1_id=3590, input2_id=3591, output_id=3592, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6677920Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2508]: MPSNode(mpsnode_union=MPSAdd(input1_id=3592, input2_id=743, output_id=3593, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6678240Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2509]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3593, output_id=3594, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6678540Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2510]: MPSNode(mpsnode_union=MPSExpand(input1_id=3594, output_id=3595, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6678830Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2511]: MPSNode(mpsnode_union=MPSView(input1_id=3595, output_id=3596, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6679100Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2512]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3596, input2_id=3577, output_id=3597), min_max=None) 2025-06-05T19:09:25.6679400Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2513]: MPSNode(mpsnode_union=MPSView(input1_id=3597, output_id=3598, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6679740Z [INFO 2025-06-05 19:09:25,584 mps_preprocess.py:288] [2514]: MPSNode(mpsnode_union=MPSPermute(input1_id=3598, output_id=3599, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6680030Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2515]: MPSNode(mpsnode_union=MPSView(input1_id=3599, output_id=3600, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6680320Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2516]: MPSNode(mpsnode_union=MPSView(input1_id=3600, output_id=3601, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6680650Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2517]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3602, input2_id=3601, input3_id=668, output_id=3603, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6681010Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2518]: MPSNode(mpsnode_union=MPSView(input1_id=3603, output_id=3604, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6681300Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2519]: MPSNode(mpsnode_union=MPSAdd(input1_id=3604, input2_id=3566, output_id=3605, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6681560Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2520]: MPSNode(mpsnode_union=MPSMul(input1_id=3605, input2_id=3606, output_id=3607), min_max=None) 2025-06-05T19:09:25.6681850Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2521]: MPSNode(mpsnode_union=MPSAdd(input1_id=3607, input2_id=3608, output_id=3609, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6682130Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2522]: MPSNode(mpsnode_union=MPSView(input1_id=3609, output_id=3610, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6682530Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2523]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3611, input2_id=3610, input3_id=686, output_id=3612, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6682830Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2524]: MPSNode(mpsnode_union=MPSView(input1_id=3612, output_id=3613, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6683130Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2525]: MPSNode(mpsnode_union=MPSReLU(input1_id=3613, output_id=3614), min_max=None) 2025-06-05T19:09:25.6683420Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2526]: MPSNode(mpsnode_union=MPSView(input1_id=3614, output_id=3615, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6683750Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2527]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3616, input2_id=3615, input3_id=684, output_id=3617, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6684050Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2528]: MPSNode(mpsnode_union=MPSView(input1_id=3617, output_id=3618, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6684340Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2529]: MPSNode(mpsnode_union=MPSAdd(input1_id=3618, input2_id=3609, output_id=3619, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6684610Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2530]: MPSNode(mpsnode_union=MPSMul(input1_id=3619, input2_id=3620, output_id=3621), min_max=None) 2025-06-05T19:09:25.6684890Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2531]: MPSNode(mpsnode_union=MPSAdd(input1_id=3621, input2_id=3622, output_id=3623, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6685180Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2532]: MPSNode(mpsnode_union=MPSView(input1_id=3623, output_id=3624, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6685520Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2533]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3625, input2_id=3624, input3_id=690, output_id=3626, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6685840Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2534]: MPSNode(mpsnode_union=MPSView(input1_id=3626, output_id=3627, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6686090Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2535]: MPSNode(mpsnode_union=MPSReLU(input1_id=3627, output_id=3628), min_max=None) 2025-06-05T19:09:25.6686370Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2536]: MPSNode(mpsnode_union=MPSView(input1_id=3628, output_id=3629, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6686710Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2537]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3630, input2_id=3629, input3_id=688, output_id=3631, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6687010Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2538]: MPSNode(mpsnode_union=MPSView(input1_id=3631, output_id=3632, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6687360Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2539]: MPSNode(mpsnode_union=MPSAdd(input1_id=3632, input2_id=3623, output_id=3633, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6687630Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2540]: MPSNode(mpsnode_union=MPSMul(input1_id=3633, input2_id=3634, output_id=3635), min_max=None) 2025-06-05T19:09:25.6687920Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2541]: MPSNode(mpsnode_union=MPSAdd(input1_id=3635, input2_id=3636, output_id=3637, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6688210Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2542]: MPSNode(mpsnode_union=MPSView(input1_id=3637, output_id=3638, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6688600Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2543]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3639, input2_id=3638, input3_id=694, output_id=3640, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6688900Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2544]: MPSNode(mpsnode_union=MPSView(input1_id=3640, output_id=3641, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6689210Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2545]: MPSNode(mpsnode_union=MPSReLU(input1_id=3641, output_id=3642), min_max=None) 2025-06-05T19:09:25.6689490Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2546]: MPSNode(mpsnode_union=MPSView(input1_id=3642, output_id=3643, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6689830Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2547]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3644, input2_id=3643, input3_id=692, output_id=3645, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6690120Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2548]: MPSNode(mpsnode_union=MPSView(input1_id=3645, output_id=3646, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6690410Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2549]: MPSNode(mpsnode_union=MPSAdd(input1_id=3646, input2_id=3637, output_id=3647, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6690680Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2550]: MPSNode(mpsnode_union=MPSMul(input1_id=3647, input2_id=3648, output_id=3649), min_max=None) 2025-06-05T19:09:25.6690960Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2551]: MPSNode(mpsnode_union=MPSAdd(input1_id=3649, input2_id=3650, output_id=3651, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6691250Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2552]: MPSNode(mpsnode_union=MPSView(input1_id=3651, output_id=3652, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6691590Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2553]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3653, input2_id=3652, input3_id=696, output_id=3654, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6691880Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2554]: MPSNode(mpsnode_union=MPSView(input1_id=3654, output_id=3655, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6692150Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2555]: MPSNode(mpsnode_union=MPSReLU(input1_id=3655, output_id=3656), min_max=None) 2025-06-05T19:09:25.6692440Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2556]: MPSNode(mpsnode_union=MPSView(input1_id=3656, output_id=3657, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6692780Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2557]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3658, input2_id=3657, input3_id=678, output_id=3659, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6693070Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2558]: MPSNode(mpsnode_union=MPSView(input1_id=3659, output_id=3660, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6693410Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2559]: MPSNode(mpsnode_union=MPSAdd(input1_id=3660, input2_id=3651, output_id=3661, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6693680Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2560]: MPSNode(mpsnode_union=MPSMul(input1_id=3661, input2_id=3662, output_id=3663), min_max=None) 2025-06-05T19:09:25.6693960Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2561]: MPSNode(mpsnode_union=MPSAdd(input1_id=3663, input2_id=3664, output_id=3665, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6694250Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2562]: MPSNode(mpsnode_union=MPSView(input1_id=3665, output_id=3666, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6694590Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2563]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3667, input2_id=3666, input3_id=676, output_id=3668, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6694940Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2564]: MPSNode(mpsnode_union=MPSView(input1_id=3668, output_id=3669, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6695230Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2565]: MPSNode(mpsnode_union=MPSAdd(input1_id=3669, input2_id=3547, output_id=3670, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6695540Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2566]: MPSNode(mpsnode_union=MPSMul(input1_id=3670, input2_id=3671, output_id=3672), min_max=None) 2025-06-05T19:09:25.6695830Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2567]: MPSNode(mpsnode_union=MPSAdd(input1_id=3672, input2_id=3673, output_id=3674, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6696110Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2568]: MPSNode(mpsnode_union=MPSView(input1_id=3674, output_id=3675, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6696400Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2569]: MPSNode(mpsnode_union=MPSView(input1_id=3674, output_id=3676, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6696690Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2570]: MPSNode(mpsnode_union=MPSView(input1_id=3674, output_id=3677, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6697040Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2571]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3678, input2_id=3675, input3_id=710, output_id=3679, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6697390Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2572]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3680, input2_id=3676, input3_id=712, output_id=3681, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6697730Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2573]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3682, input2_id=3677, input3_id=704, output_id=3683, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6698020Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2574]: MPSNode(mpsnode_union=MPSView(input1_id=3679, output_id=3684, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6698340Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2575]: MPSNode(mpsnode_union=MPSView(input1_id=3681, output_id=3685, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6698630Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2576]: MPSNode(mpsnode_union=MPSView(input1_id=3683, output_id=3686, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6698900Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2577]: MPSNode(mpsnode_union=MPSMul(input1_id=3684, input2_id=3687, output_id=3688), min_max=None) 2025-06-05T19:09:25.6699160Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2578]: MPSNode(mpsnode_union=MPSMul(input1_id=3685, input2_id=3689, output_id=3690), min_max=None) 2025-06-05T19:09:25.6699460Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2579]: MPSNode(mpsnode_union=MPSView(input1_id=3686, output_id=3691, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6699800Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2580]: MPSNode(mpsnode_union=MPSAdd(input1_id=3688, input2_id=3692, output_id=3693, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6700090Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2581]: MPSNode(mpsnode_union=MPSAdd(input1_id=3690, input2_id=3694, output_id=3695, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6700390Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2582]: MPSNode(mpsnode_union=MPSPermute(input1_id=3691, output_id=3696, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6700690Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2583]: MPSNode(mpsnode_union=MPSView(input1_id=3695, output_id=3697, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6701020Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2584]: MPSNode(mpsnode_union=MPSView(input1_id=3695, output_id=3698, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6701330Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2585]: MPSNode(mpsnode_union=MPSExpand(input1_id=3696, output_id=3699, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6701730Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2586]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3700, input2_id=3697, input3_id=700, output_id=3701, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6702070Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2587]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3702, input2_id=3698, input3_id=702, output_id=3703, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6702360Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2588]: MPSNode(mpsnode_union=MPSView(input1_id=3699, output_id=3704, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6702660Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2589]: MPSNode(mpsnode_union=MPSView(input1_id=3701, output_id=3705, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6702950Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2590]: MPSNode(mpsnode_union=MPSView(input1_id=3703, output_id=3706, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6703250Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2591]: MPSNode(mpsnode_union=MPSView(input1_id=3705, output_id=3707, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6703550Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2592]: MPSNode(mpsnode_union=MPSView(input1_id=3706, output_id=3708, num_dims=4, shape=[1, 8, 4, 32]), min_max=None) 2025-06-05T19:09:25.6703850Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2593]: MPSNode(mpsnode_union=MPSPermute(input1_id=3707, output_id=3709, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6704150Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2594]: MPSNode(mpsnode_union=MPSPermute(input1_id=3708, output_id=3710, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6704460Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2595]: MPSNode(mpsnode_union=MPSExpand(input1_id=3709, output_id=3711, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6704790Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2596]: MPSNode(mpsnode_union=MPSPermute(input1_id=3710, output_id=3712, num_dims=4, perm=[0, 1, 3, 2]), min_max=None) 2025-06-05T19:09:25.6705080Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2597]: MPSNode(mpsnode_union=MPSView(input1_id=3711, output_id=3713, num_dims=3, shape=[4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6705390Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2598]: MPSNode(mpsnode_union=MPSExpand(input1_id=3712, output_id=3714, num_dims=4, shape=[1, 4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6705680Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2599]: MPSNode(mpsnode_union=MPSView(input1_id=3714, output_id=3715, num_dims=3, shape=[4, 32, 8]), min_max=None) 2025-06-05T19:09:25.6706010Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2600]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3713, input2_id=3715, output_id=3716), min_max=None) 2025-06-05T19:09:25.6706310Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2601]: MPSNode(mpsnode_union=MPSView(input1_id=3716, output_id=3717, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6706610Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2602]: MPSNode(mpsnode_union=MPSDiv(input1_id=3717, input2_id=3718, output_id=3719, rounding_mode=None), min_max=None) 2025-06-05T19:09:25.6706900Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2603]: MPSNode(mpsnode_union=MPSAdd(input1_id=3719, input2_id=743, output_id=3720, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6707260Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2604]: MPSNode(mpsnode_union=MPSSoftmax(input1_id=3720, output_id=3721, dim=-1, half_to_float=False), min_max=None) 2025-06-05T19:09:25.6707570Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2605]: MPSNode(mpsnode_union=MPSExpand(input1_id=3721, output_id=3722, num_dims=4, shape=[1, 4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6707930Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2606]: MPSNode(mpsnode_union=MPSView(input1_id=3722, output_id=3723, num_dims=3, shape=[4, 8, 8]), min_max=None) 2025-06-05T19:09:25.6708200Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2607]: MPSNode(mpsnode_union=MPSMatMul(input1_id=3723, input2_id=3704, output_id=3724), min_max=None) 2025-06-05T19:09:25.6708500Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2608]: MPSNode(mpsnode_union=MPSView(input1_id=3724, output_id=3725, num_dims=4, shape=[1, 4, 8, 32]), min_max=None) 2025-06-05T19:09:25.6708810Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2609]: MPSNode(mpsnode_union=MPSPermute(input1_id=3725, output_id=3726, num_dims=4, perm=[0, 2, 1, 3]), min_max=None) 2025-06-05T19:09:25.6709110Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2610]: MPSNode(mpsnode_union=MPSView(input1_id=3726, output_id=3727, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6709400Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2611]: MPSNode(mpsnode_union=MPSView(input1_id=3727, output_id=3728, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6709740Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2612]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3729, input2_id=3728, input3_id=698, output_id=3730, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6710040Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2613]: MPSNode(mpsnode_union=MPSView(input1_id=3730, output_id=3731, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6710330Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2614]: MPSNode(mpsnode_union=MPSAdd(input1_id=3731, input2_id=3693, output_id=3732, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6710600Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2615]: MPSNode(mpsnode_union=MPSMul(input1_id=3732, input2_id=3733, output_id=3734), min_max=None) 2025-06-05T19:09:25.6710900Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2616]: MPSNode(mpsnode_union=MPSAdd(input1_id=3734, input2_id=3735, output_id=3736, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6711190Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2617]: MPSNode(mpsnode_union=MPSView(input1_id=3736, output_id=3737, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6711530Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2618]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3738, input2_id=3737, input3_id=716, output_id=3739, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6711830Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2619]: MPSNode(mpsnode_union=MPSView(input1_id=3739, output_id=3740, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6712140Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2620]: MPSNode(mpsnode_union=MPSReLU(input1_id=3740, output_id=3741), min_max=None) 2025-06-05T19:09:25.6712430Z [INFO 2025-06-05 19:09:25,585 mps_preprocess.py:288] [2621]: MPSNode(mpsnode_union=MPSView(input1_id=3741, output_id=3742, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6712760Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2622]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3743, input2_id=3742, input3_id=714, output_id=3744, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6713050Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2623]: MPSNode(mpsnode_union=MPSView(input1_id=3744, output_id=3745, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6713350Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2624]: MPSNode(mpsnode_union=MPSAdd(input1_id=3745, input2_id=3736, output_id=3746, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6713660Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2625]: MPSNode(mpsnode_union=MPSMul(input1_id=3746, input2_id=3747, output_id=3748), min_max=None) 2025-06-05T19:09:25.6713940Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2626]: MPSNode(mpsnode_union=MPSAdd(input1_id=3748, input2_id=3749, output_id=3750, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6714280Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2627]: MPSNode(mpsnode_union=MPSView(input1_id=3750, output_id=3751, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6714620Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2628]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3752, input2_id=3751, input3_id=720, output_id=3753, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6714910Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2629]: MPSNode(mpsnode_union=MPSView(input1_id=3753, output_id=3754, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6715150Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2630]: MPSNode(mpsnode_union=MPSReLU(input1_id=3754, output_id=3755), min_max=None) 2025-06-05T19:09:25.6715430Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2631]: MPSNode(mpsnode_union=MPSView(input1_id=3755, output_id=3756, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6715770Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2632]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3757, input2_id=3756, input3_id=718, output_id=3758, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6716070Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2633]: MPSNode(mpsnode_union=MPSView(input1_id=3758, output_id=3759, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6716360Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2634]: MPSNode(mpsnode_union=MPSAdd(input1_id=3759, input2_id=3750, output_id=3760, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6716630Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2635]: MPSNode(mpsnode_union=MPSMul(input1_id=3760, input2_id=3761, output_id=3762), min_max=None) 2025-06-05T19:09:25.6716920Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2636]: MPSNode(mpsnode_union=MPSAdd(input1_id=3762, input2_id=3763, output_id=3764, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6717240Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2637]: MPSNode(mpsnode_union=MPSView(input1_id=3764, output_id=3765, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6717580Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2638]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3766, input2_id=3765, input3_id=724, output_id=3767, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6717880Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2639]: MPSNode(mpsnode_union=MPSView(input1_id=3767, output_id=3768, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6718120Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2640]: MPSNode(mpsnode_union=MPSReLU(input1_id=3768, output_id=3769), min_max=None) 2025-06-05T19:09:25.6718460Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2641]: MPSNode(mpsnode_union=MPSView(input1_id=3769, output_id=3770, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6718800Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2642]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3771, input2_id=3770, input3_id=722, output_id=3772, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6719090Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2643]: MPSNode(mpsnode_union=MPSView(input1_id=3772, output_id=3773, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6719380Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2644]: MPSNode(mpsnode_union=MPSAdd(input1_id=3773, input2_id=3764, output_id=3774, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6719640Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2645]: MPSNode(mpsnode_union=MPSMul(input1_id=3774, input2_id=3775, output_id=3776), min_max=None) 2025-06-05T19:09:25.6719990Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2646]: MPSNode(mpsnode_union=MPSAdd(input1_id=3776, input2_id=3777, output_id=3778, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6720330Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2647]: MPSNode(mpsnode_union=MPSView(input1_id=3778, output_id=3779, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6720670Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2648]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3780, input2_id=3779, input3_id=726, output_id=3781, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6720960Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2649]: MPSNode(mpsnode_union=MPSView(input1_id=3781, output_id=3782, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6721190Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2650]: MPSNode(mpsnode_union=MPSReLU(input1_id=3782, output_id=3783), min_max=None) 2025-06-05T19:09:25.6721480Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2651]: MPSNode(mpsnode_union=MPSView(input1_id=3783, output_id=3784, num_dims=2, shape=[8, 512]), min_max=None) 2025-06-05T19:09:25.6721810Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2652]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3785, input2_id=3784, input3_id=708, output_id=3786, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6722100Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2653]: MPSNode(mpsnode_union=MPSView(input1_id=3786, output_id=3787, num_dims=3, shape=[1, 8, 128]), min_max=None) 2025-06-05T19:09:25.6722390Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2654]: MPSNode(mpsnode_union=MPSAdd(input1_id=3787, input2_id=3778, output_id=3788, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6722650Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2655]: MPSNode(mpsnode_union=MPSMul(input1_id=3788, input2_id=3789, output_id=3790), min_max=None) 2025-06-05T19:09:25.6722940Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2656]: MPSNode(mpsnode_union=MPSAdd(input1_id=3790, input2_id=3791, output_id=3792, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6723240Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2657]: MPSNode(mpsnode_union=MPSView(input1_id=3792, output_id=3793, num_dims=2, shape=[8, 128]), min_max=None) 2025-06-05T19:09:25.6723590Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2658]: MPSNode(mpsnode_union=MPSAddmm(input1_id=3794, input2_id=3793, input3_id=706, output_id=3795, beta=1.0, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6723880Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2659]: MPSNode(mpsnode_union=MPSView(input1_id=3795, output_id=3796, num_dims=3, shape=[1, 8, 512]), min_max=None) 2025-06-05T19:09:25.6724160Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2660]: MPSNode(mpsnode_union=MPSAdd(input1_id=3796, input2_id=3674, output_id=3797, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6724490Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2661]: MPSNode(mpsnode_union=MPSMul(input1_id=3797, input2_id=3798, output_id=3799), min_max=None) 2025-06-05T19:09:25.6724770Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2662]: MPSNode(mpsnode_union=MPSAdd(input1_id=3799, input2_id=3800, output_id=3801, alpha=1.0), min_max=None) 2025-06-05T19:09:25.6725050Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2663]: MPSNode(mpsnode_union=MPSSelect(input1_id=3801, output_id=3802, dim=1, index=0), min_max=None) 2025-06-05T19:09:25.6725390Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2664]: MPSNode(mpsnode_union=MPSCast(input1_id=3801, output_id=3801, dtype=), min_max=None) 2025-06-05T19:09:25.6725720Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:288] [2665]: MPSNode(mpsnode_union=MPSCast(input1_id=3802, output_id=3802, dtype=), min_max=None) 2025-06-05T19:09:25.6725830Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:289] MPS values: 2025-06-05T19:09:25.6726130Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [0]: MPSTensor(datatype=9, num_dims=2, dims=[1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6726420Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [1]: MPSTensor(datatype=2, num_dims=2, dims=[1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6726660Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [2]: MPSTensor(datatype=9, num_dims=2, dims=[1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6726940Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [3]: MPSTensor(datatype=1, num_dims=2, dims=[30522, 128], constant_buffer_size=7813632, segment_offset=0) 2025-06-05T19:09:25.6727190Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [4]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6727460Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=2, dims=[512, 384], constant_buffer_size=393216, segment_offset=7813632) 2025-06-05T19:09:25.6727710Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [6]: MPSTensor(datatype=2, num_dims=2, dims=[384, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6727980Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [7]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=8206848) 2025-06-05T19:09:25.6728220Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [8]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6728490Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [9]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=8239616) 2025-06-05T19:09:25.6728740Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [10]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6729000Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [11]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=8272384) 2025-06-05T19:09:25.6729280Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [12]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6729550Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [13]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=8305152) 2025-06-05T19:09:25.6729800Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [14]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6730060Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [15]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=8436224) 2025-06-05T19:09:25.6730360Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [16]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6730620Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [17]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=8567296) 2025-06-05T19:09:25.6730870Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [18]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6731140Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [19]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=8698368) 2025-06-05T19:09:25.6731380Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [20]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6731690Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [21]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=8829440) 2025-06-05T19:09:25.6731940Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [22]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6732280Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [23]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=8960512) 2025-06-05T19:09:25.6732530Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [24]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6732790Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [25]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=9091584) 2025-06-05T19:09:25.6733040Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [26]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6733310Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [27]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=9222656) 2025-06-05T19:09:25.6733560Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [28]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6733830Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [29]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=9353728) 2025-06-05T19:09:25.6734080Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [30]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6734340Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [31]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=9484800) 2025-06-05T19:09:25.6734590Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [32]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6734860Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [33]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=9615872) 2025-06-05T19:09:25.6735130Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [34]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6735400Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [35]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=9746944) 2025-06-05T19:09:25.6735640Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [36]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6735910Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [37]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=9878016) 2025-06-05T19:09:25.6736220Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [38]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6736490Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [39]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=9910784) 2025-06-05T19:09:25.6736730Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [40]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6737000Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [41]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=9943552) 2025-06-05T19:09:25.6737240Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [42]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6737550Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [43]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=9976320) 2025-06-05T19:09:25.6737800Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [44]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6738120Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [45]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=10107392) 2025-06-05T19:09:25.6738380Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [46]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6738650Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [47]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=10238464) 2025-06-05T19:09:25.6738900Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [48]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6739170Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [49]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=10369536) 2025-06-05T19:09:25.6739420Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [50]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6739680Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [51]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=10500608) 2025-06-05T19:09:25.6739940Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [52]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6740210Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [53]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=10631680) 2025-06-05T19:09:25.6740460Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [54]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6740760Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [55]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=10762752) 2025-06-05T19:09:25.6741010Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [56]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6741280Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [57]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=10893824) 2025-06-05T19:09:25.6741530Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [58]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6741790Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [59]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=11024896) 2025-06-05T19:09:25.6742090Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [60]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6742360Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [61]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=11155968) 2025-06-05T19:09:25.6742600Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [62]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6742870Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [63]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=11287040) 2025-06-05T19:09:25.6743120Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [64]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6743440Z [INFO 2025-06-05 19:09:25,586 mps_preprocess.py:291] [65]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=11418112) 2025-06-05T19:09:25.6743740Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [66]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6744010Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [67]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=11549184) 2025-06-05T19:09:25.6744260Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [68]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6744530Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [69]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=11581952) 2025-06-05T19:09:25.6744770Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [70]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6745040Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [71]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=11614720) 2025-06-05T19:09:25.6745290Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [72]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6745560Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [73]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=11647488) 2025-06-05T19:09:25.6745810Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [74]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6746080Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [75]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=11778560) 2025-06-05T19:09:25.6746320Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [76]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6746620Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [77]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=11909632) 2025-06-05T19:09:25.6746870Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [78]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6747130Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [79]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=12040704) 2025-06-05T19:09:25.6747380Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [80]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6747700Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [81]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=12171776) 2025-06-05T19:09:25.6747950Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [82]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6748220Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [83]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=12302848) 2025-06-05T19:09:25.6748470Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [84]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6748730Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [85]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=12433920) 2025-06-05T19:09:25.6749030Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [86]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6749300Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [87]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=12564992) 2025-06-05T19:09:25.6749590Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [88]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6749870Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [89]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=12696064) 2025-06-05T19:09:25.6750110Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [90]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6750380Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [91]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=12827136) 2025-06-05T19:09:25.6750630Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [92]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6750900Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [93]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=12958208) 2025-06-05T19:09:25.6751150Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [94]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6751420Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [95]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=13089280) 2025-06-05T19:09:25.6751670Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [96]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6751940Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [97]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=13220352) 2025-06-05T19:09:25.6752210Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [98]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6752480Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [99]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=13253120) 2025-06-05T19:09:25.6752740Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [100]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6753010Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [101]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=13285888) 2025-06-05T19:09:25.6753270Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [102]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6753590Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [103]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=13318656) 2025-06-05T19:09:25.6753850Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [104]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6754120Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [105]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=13449728) 2025-06-05T19:09:25.6754380Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [106]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6754650Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [107]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=13580800) 2025-06-05T19:09:25.6754950Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [108]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6755230Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [109]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=13711872) 2025-06-05T19:09:25.6755550Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [110]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6755820Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [111]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=13842944) 2025-06-05T19:09:25.6756070Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [112]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6756340Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [113]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=13974016) 2025-06-05T19:09:25.6756590Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [114]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6756860Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [115]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=14105088) 2025-06-05T19:09:25.6757120Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [116]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6757390Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [117]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=14236160) 2025-06-05T19:09:25.6757630Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [118]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6757900Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [119]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=14367232) 2025-06-05T19:09:25.6758170Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [120]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6758450Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [121]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=14498304) 2025-06-05T19:09:25.6758690Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [122]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6758970Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [123]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=14629376) 2025-06-05T19:09:25.6759290Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [124]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6759560Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [125]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=14760448) 2025-06-05T19:09:25.6759810Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [126]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6760080Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [127]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=14891520) 2025-06-05T19:09:25.6760330Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [128]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6764330Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [129]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=14924288) 2025-06-05T19:09:25.6764600Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [130]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6764920Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [131]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=14957056) 2025-06-05T19:09:25.6765170Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [132]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6765440Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [133]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=14989824) 2025-06-05T19:09:25.6765690Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [134]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6765960Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [135]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=15120896) 2025-06-05T19:09:25.6766220Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [136]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6766490Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [137]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=15251968) 2025-06-05T19:09:25.6766740Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [138]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6767000Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [139]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=15383040) 2025-06-05T19:09:25.6767260Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [140]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6767570Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [141]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=15514112) 2025-06-05T19:09:25.6767830Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [142]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6768100Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [143]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=15645184) 2025-06-05T19:09:25.6768340Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [144]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6768620Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [145]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=15776256) 2025-06-05T19:09:25.6768930Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [146]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6769200Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [147]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=15907328) 2025-06-05T19:09:25.6769440Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [148]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6769720Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [149]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=16038400) 2025-06-05T19:09:25.6769960Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [150]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6770290Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [151]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=16169472) 2025-06-05T19:09:25.6770600Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [152]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6770870Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [153]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=16300544) 2025-06-05T19:09:25.6771120Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [154]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6771390Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [155]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=16431616) 2025-06-05T19:09:25.6771640Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [156]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6771920Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [157]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=16562688) 2025-06-05T19:09:25.6772180Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [158]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6772450Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [159]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=16595456) 2025-06-05T19:09:25.6772700Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [160]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6772970Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [161]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=16628224) 2025-06-05T19:09:25.6773220Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [162]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6773520Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [163]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=16660992) 2025-06-05T19:09:25.6773780Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [164]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6774050Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [165]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=16792064) 2025-06-05T19:09:25.6774300Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [166]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6774620Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [167]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=16923136) 2025-06-05T19:09:25.6774880Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [168]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6775150Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [169]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=17054208) 2025-06-05T19:09:25.6775390Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [170]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6775660Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [171]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=17185280) 2025-06-05T19:09:25.6775960Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [172]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6776240Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [173]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=17316352) 2025-06-05T19:09:25.6776540Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [174]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6776810Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [175]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=17447424) 2025-06-05T19:09:25.6777070Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [176]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6777340Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [177]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=17578496) 2025-06-05T19:09:25.6777590Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [178]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6777870Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [179]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=17709568) 2025-06-05T19:09:25.6778140Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [180]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6778410Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [181]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=17840640) 2025-06-05T19:09:25.6778670Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [182]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6778940Z [INFO 2025-06-05 19:09:25,587 mps_preprocess.py:291] [183]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=17971712) 2025-06-05T19:09:25.6779220Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [184]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6779500Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [185]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=18102784) 2025-06-05T19:09:25.6779760Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [186]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6780030Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [187]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=18233856) 2025-06-05T19:09:25.6780300Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [188]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6780630Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [189]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=18266624) 2025-06-05T19:09:25.6780880Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [190]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6781150Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [191]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=18299392) 2025-06-05T19:09:25.6781400Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [192]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6781720Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [193]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=18332160) 2025-06-05T19:09:25.6781980Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [194]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6782310Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [195]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=18463232) 2025-06-05T19:09:25.6782560Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [196]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6782830Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [197]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=18594304) 2025-06-05T19:09:25.6783080Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [198]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6783350Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [199]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=18725376) 2025-06-05T19:09:25.6783610Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [200]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6783880Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [201]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=18856448) 2025-06-05T19:09:25.6784130Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [202]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6784400Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [203]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=18987520) 2025-06-05T19:09:25.6784650Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [204]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6784920Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [205]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=19118592) 2025-06-05T19:09:25.6785190Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [206]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6785470Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [207]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=19249664) 2025-06-05T19:09:25.6785720Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [208]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6785990Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [209]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=19380736) 2025-06-05T19:09:25.6786300Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [210]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6786580Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [211]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=19511808) 2025-06-05T19:09:25.6786830Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [212]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6787100Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [213]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=19642880) 2025-06-05T19:09:25.6787350Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [214]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6787660Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [215]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=19773952) 2025-06-05T19:09:25.6787920Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [216]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6788250Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [217]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=19905024) 2025-06-05T19:09:25.6788490Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [218]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6788770Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [219]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=19937792) 2025-06-05T19:09:25.6789020Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [220]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6789280Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [221]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=19970560) 2025-06-05T19:09:25.6789540Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [222]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6789810Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [223]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20003328) 2025-06-05T19:09:25.6790050Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [224]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6790320Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [225]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=20134400) 2025-06-05T19:09:25.6790580Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [226]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6790880Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [227]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20265472) 2025-06-05T19:09:25.6791130Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [228]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6791400Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [229]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20396544) 2025-06-05T19:09:25.6791650Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [230]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6791930Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [231]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20527616) 2025-06-05T19:09:25.6792230Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [232]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6792500Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [233]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20658688) 2025-06-05T19:09:25.6792760Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [234]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6793030Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [235]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=20789760) 2025-06-05T19:09:25.6793340Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [236]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6793620Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [237]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=20920832) 2025-06-05T19:09:25.6793920Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [238]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6794190Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [239]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=21051904) 2025-06-05T19:09:25.6794440Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [240]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6794710Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [241]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=21182976) 2025-06-05T19:09:25.6794960Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [242]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6795240Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [243]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=21314048) 2025-06-05T19:09:25.6795490Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [244]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6795770Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [245]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=21445120) 2025-06-05T19:09:25.6796020Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [246]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6796290Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [247]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=21576192) 2025-06-05T19:09:25.6796560Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [248]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6796840Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [249]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=21608960) 2025-06-05T19:09:25.6797090Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [250]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6797360Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [251]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=21641728) 2025-06-05T19:09:25.6797610Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [252]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6797940Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [253]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=21674496) 2025-06-05T19:09:25.6798190Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [254]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6798460Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [255]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=21805568) 2025-06-05T19:09:25.6798720Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [256]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6798990Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [257]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=21936640) 2025-06-05T19:09:25.6799290Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [258]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6799560Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [259]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=22067712) 2025-06-05T19:09:25.6799860Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [260]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6800130Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [261]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=22198784) 2025-06-05T19:09:25.6800380Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [262]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6800650Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [263]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=22329856) 2025-06-05T19:09:25.6800900Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [264]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6801170Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [265]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=22460928) 2025-06-05T19:09:25.6801420Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [266]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6801690Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [267]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=22592000) 2025-06-05T19:09:25.6801950Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [268]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6802220Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [269]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=22723072) 2025-06-05T19:09:25.6802490Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [270]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6802760Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [271]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=22854144) 2025-06-05T19:09:25.6803020Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [272]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6803290Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [273]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=22985216) 2025-06-05T19:09:25.6803590Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [274]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6803860Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [275]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=23116288) 2025-06-05T19:09:25.6804110Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [276]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6804380Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [277]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=23247360) 2025-06-05T19:09:25.6804630Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [278]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6804950Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [279]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=23280128) 2025-06-05T19:09:25.6805210Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [280]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6805540Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [281]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=23312896) 2025-06-05T19:09:25.6805790Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [282]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6806060Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [283]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=23345664) 2025-06-05T19:09:25.6806310Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [284]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6806580Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [285]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=23476736) 2025-06-05T19:09:25.6806840Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [286]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6807110Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [287]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=23607808) 2025-06-05T19:09:25.6807360Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [288]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6807640Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [289]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=23738880) 2025-06-05T19:09:25.6807890Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [290]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6808180Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [291]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=23869952) 2025-06-05T19:09:25.6808440Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [292]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6808710Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [293]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=24001024) 2025-06-05T19:09:25.6808970Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [294]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6809250Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [295]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=24132096) 2025-06-05T19:09:25.6809570Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [296]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6809840Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [297]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=24263168) 2025-06-05T19:09:25.6810090Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [298]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6810360Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [299]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=24394240) 2025-06-05T19:09:25.6810610Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [300]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6810920Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [301]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=24525312) 2025-06-05T19:09:25.6811180Z [INFO 2025-06-05 19:09:25,588 mps_preprocess.py:291] [302]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6811500Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [303]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=24656384) 2025-06-05T19:09:25.6811750Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [304]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6812020Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [305]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=24787456) 2025-06-05T19:09:25.6812270Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [306]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6812550Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [307]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=24918528) 2025-06-05T19:09:25.6812800Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [308]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6813070Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [309]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=24951296) 2025-06-05T19:09:25.6813320Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [310]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6813590Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [311]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=24984064) 2025-06-05T19:09:25.6813850Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [312]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6814160Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [313]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25016832) 2025-06-05T19:09:25.6814410Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [314]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6814680Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [315]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=25147904) 2025-06-05T19:09:25.6814940Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [316]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6815270Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [317]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25278976) 2025-06-05T19:09:25.6815530Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [318]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6815800Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [319]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25410048) 2025-06-05T19:09:25.6816050Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [320]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6816320Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [321]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25541120) 2025-06-05T19:09:25.6816630Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [322]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6816910Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [323]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25672192) 2025-06-05T19:09:25.6817210Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [324]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6817480Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [325]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=25803264) 2025-06-05T19:09:25.6817730Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [326]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6818000Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [327]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=25934336) 2025-06-05T19:09:25.6818260Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [328]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6818530Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [329]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=26065408) 2025-06-05T19:09:25.6818780Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [330]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6819050Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [331]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=26196480) 2025-06-05T19:09:25.6819310Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [332]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6819580Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [333]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=26327552) 2025-06-05T19:09:25.6819850Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [334]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6820130Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [335]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=26458624) 2025-06-05T19:09:25.6820380Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [336]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6820650Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [337]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=26589696) 2025-06-05T19:09:25.6820900Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [338]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6821240Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [339]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=26622464) 2025-06-05T19:09:25.6821490Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [340]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6821760Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [341]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=26655232) 2025-06-05T19:09:25.6822010Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [342]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6822280Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [343]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=26688000) 2025-06-05T19:09:25.6822590Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [344]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6822870Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [345]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=26819072) 2025-06-05T19:09:25.6823160Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [346]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6823430Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [347]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=26950144) 2025-06-05T19:09:25.6823680Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [348]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6823960Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [349]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=27081216) 2025-06-05T19:09:25.6824200Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [350]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6824470Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [351]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=27212288) 2025-06-05T19:09:25.6824720Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [352]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6825000Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [353]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=27343360) 2025-06-05T19:09:25.6825250Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [354]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6825510Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [355]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=27474432) 2025-06-05T19:09:25.6825790Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [356]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6826060Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [357]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=27605504) 2025-06-05T19:09:25.6826310Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [358]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6826580Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [359]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=27736576) 2025-06-05T19:09:25.6826880Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [360]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6827150Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [361]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=27867648) 2025-06-05T19:09:25.6827400Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [362]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6827670Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [363]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=27998720) 2025-06-05T19:09:25.6827930Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [364]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6828280Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [365]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=28129792) 2025-06-05T19:09:25.6828540Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [366]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6828870Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [367]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=28260864) 2025-06-05T19:09:25.6829120Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [368]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6829390Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [369]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=28293632) 2025-06-05T19:09:25.6829640Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [370]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6829910Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [371]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=28326400) 2025-06-05T19:09:25.6830160Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [372]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6830430Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [373]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=28359168) 2025-06-05T19:09:25.6830680Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [374]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6830950Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [375]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=28490240) 2025-06-05T19:09:25.6831200Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [376]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6831490Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [377]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=28621312) 2025-06-05T19:09:25.6831750Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [378]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6832020Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [379]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=28752384) 2025-06-05T19:09:25.6832270Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [380]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6832540Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [381]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=28883456) 2025-06-05T19:09:25.6832860Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [382]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6833130Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [383]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=29014528) 2025-06-05T19:09:25.6833380Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [384]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6833650Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [385]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=29145600) 2025-06-05T19:09:25.6833900Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [386]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6834220Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [387]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=29276672) 2025-06-05T19:09:25.6834520Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [388]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6834790Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [389]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=29407744) 2025-06-05T19:09:25.6835040Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [390]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6835310Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [391]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=29538816) 2025-06-05T19:09:25.6835560Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [392]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6835830Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [393]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=29669888) 2025-06-05T19:09:25.6836090Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [394]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6836360Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [395]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=29800960) 2025-06-05T19:09:25.6836600Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [396]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6836870Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [397]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=29932032) 2025-06-05T19:09:25.6837120Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [398]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6837450Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [399]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=29964800) 2025-06-05T19:09:25.6837710Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [400]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6837980Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [401]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=29997568) 2025-06-05T19:09:25.6838230Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [402]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6838560Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [403]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30030336) 2025-06-05T19:09:25.6838810Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [404]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6839080Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [405]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=30161408) 2025-06-05T19:09:25.6839330Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [406]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6839600Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [407]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30292480) 2025-06-05T19:09:25.6839920Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [408]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6840190Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [409]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30423552) 2025-06-05T19:09:25.6840490Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [410]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6840760Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [411]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30554624) 2025-06-05T19:09:25.6841010Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [412]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6841280Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [413]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30685696) 2025-06-05T19:09:25.6841530Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [414]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6841810Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [415]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=30816768) 2025-06-05T19:09:25.6842060Z [INFO 2025-06-05 19:09:25,589 mps_preprocess.py:291] [416]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6842330Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [417]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=30947840) 2025-06-05T19:09:25.6842580Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [418]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6842850Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [419]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=31078912) 2025-06-05T19:09:25.6843160Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [420]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6843440Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [421]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=31209984) 2025-06-05T19:09:25.6843700Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [422]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6843970Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [423]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=31341056) 2025-06-05T19:09:25.6844220Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [424]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6844580Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [425]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=31472128) 2025-06-05T19:09:25.6844840Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [426]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6845110Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [427]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=31603200) 2025-06-05T19:09:25.6845360Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [428]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6845710Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [429]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=31635968) 2025-06-05T19:09:25.6845960Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [430]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6846280Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [431]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=31668736) 2025-06-05T19:09:25.6846540Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [432]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6846810Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [433]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=31701504) 2025-06-05T19:09:25.6847060Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [434]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6847330Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [435]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=31832576) 2025-06-05T19:09:25.6847580Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [436]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6847850Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [437]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=31963648) 2025-06-05T19:09:25.6848100Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [438]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6848380Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [439]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=32094720) 2025-06-05T19:09:25.6848630Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [440]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6848900Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [441]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=32225792) 2025-06-05T19:09:25.6849170Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [442]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6849440Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [443]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=32356864) 2025-06-05T19:09:25.6849690Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [444]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6849960Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [445]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=32487936) 2025-06-05T19:09:25.6850260Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [446]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6850530Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [447]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=32619008) 2025-06-05T19:09:25.6850780Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [448]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6851050Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [449]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=32750080) 2025-06-05T19:09:25.6851290Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [450]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6851620Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [451]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=32881152) 2025-06-05T19:09:25.6851880Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [452]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6852210Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [453]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=33012224) 2025-06-05T19:09:25.6852460Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [454]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6852730Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [455]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=33143296) 2025-06-05T19:09:25.6852980Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [456]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6853250Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [457]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=33274368) 2025-06-05T19:09:25.6853500Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [458]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6853760Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [459]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=33307136) 2025-06-05T19:09:25.6854010Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [460]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6854280Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [461]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=33339904) 2025-06-05T19:09:25.6854520Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [462]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6854830Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [463]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=33372672) 2025-06-05T19:09:25.6855080Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [464]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6855350Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [465]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=33503744) 2025-06-05T19:09:25.6855600Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [466]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6855870Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [467]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=33634816) 2025-06-05T19:09:25.6856200Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [468]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6856470Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [469]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=33765888) 2025-06-05T19:09:25.6856720Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [470]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6856990Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [471]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=33896960) 2025-06-05T19:09:25.6857290Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [472]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6857560Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [473]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=34028032) 2025-06-05T19:09:25.6857880Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [474]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6858140Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [475]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=34159104) 2025-06-05T19:09:25.6858390Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [476]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6858660Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [477]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=34290176) 2025-06-05T19:09:25.6858910Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [478]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6859180Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [479]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=34421248) 2025-06-05T19:09:25.6859430Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [480]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6859700Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [481]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=34552320) 2025-06-05T19:09:25.6859950Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [482]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6860220Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [483]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=34683392) 2025-06-05T19:09:25.6860470Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [484]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6860790Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [485]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=34814464) 2025-06-05T19:09:25.6861040Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [486]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6861310Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [487]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=34945536) 2025-06-05T19:09:25.6861560Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [488]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6861920Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [489]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=34978304) 2025-06-05T19:09:25.6862170Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [490]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6862440Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [491]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=35011072) 2025-06-05T19:09:25.6862680Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [492]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6862950Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [493]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35043840) 2025-06-05T19:09:25.6863260Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [494]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6863540Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [495]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=35174912) 2025-06-05T19:09:25.6863850Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [496]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6864130Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [497]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35305984) 2025-06-05T19:09:25.6864380Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [498]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6864650Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [499]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35437056) 2025-06-05T19:09:25.6864900Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [500]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6865180Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [501]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35568128) 2025-06-05T19:09:25.6865420Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [502]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6865690Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [503]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35699200) 2025-06-05T19:09:25.6865940Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [504]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6866210Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [505]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=35830272) 2025-06-05T19:09:25.6866490Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [506]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6866760Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [507]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=35961344) 2025-06-05T19:09:25.6867010Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [508]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6867280Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [509]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=36092416) 2025-06-05T19:09:25.6867600Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [510]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6867870Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [511]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=36223488) 2025-06-05T19:09:25.6868120Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [512]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6868390Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [513]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=36354560) 2025-06-05T19:09:25.6868640Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [514]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6868980Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [515]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=36485632) 2025-06-05T19:09:25.6869230Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [516]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6869540Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [517]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=36616704) 2025-06-05T19:09:25.6869790Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [518]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6870060Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [519]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=36649472) 2025-06-05T19:09:25.6870310Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [520]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6870580Z [INFO 2025-06-05 19:09:25,590 mps_preprocess.py:291] [521]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=36682240) 2025-06-05T19:09:25.6870820Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [522]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6871100Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [523]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=36715008) 2025-06-05T19:09:25.6871340Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [524]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6871610Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [525]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=36846080) 2025-06-05T19:09:25.6871860Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [526]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6872180Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [527]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=36977152) 2025-06-05T19:09:25.6872430Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [528]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6872710Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [529]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=37108224) 2025-06-05T19:09:25.6872950Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [530]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6873220Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [531]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=37239296) 2025-06-05T19:09:25.6873540Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [532]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6873810Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [533]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=37370368) 2025-06-05T19:09:25.6874060Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [534]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6874330Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [535]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=37501440) 2025-06-05T19:09:25.6874580Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [536]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6874910Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [537]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=37632512) 2025-06-05T19:09:25.6875160Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [538]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6875490Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [539]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=37763584) 2025-06-05T19:09:25.6875740Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [540]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6876010Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [541]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=37894656) 2025-06-05T19:09:25.6876260Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [542]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6876530Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [543]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=38025728) 2025-06-05T19:09:25.6876780Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [544]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6877050Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [545]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=38156800) 2025-06-05T19:09:25.6877300Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [546]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6877560Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [547]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=38287872) 2025-06-05T19:09:25.6877810Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [548]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6878130Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [549]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=38320640) 2025-06-05T19:09:25.6878380Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [550]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6878650Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [551]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=38353408) 2025-06-05T19:09:25.6878890Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [552]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6879260Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [553]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=38386176) 2025-06-05T19:09:25.6879510Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [554]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6879780Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [555]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=38517248) 2025-06-05T19:09:25.6880030Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [556]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6880300Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [557]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=38648320) 2025-06-05T19:09:25.6880590Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [558]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6880860Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [559]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=38779392) 2025-06-05T19:09:25.6881190Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [560]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6881460Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [561]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=38910464) 2025-06-05T19:09:25.6881710Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [562]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6881980Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [563]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=39041536) 2025-06-05T19:09:25.6882230Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [564]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6882510Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [565]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=39172608) 2025-06-05T19:09:25.6882760Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [566]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6883030Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [567]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=39303680) 2025-06-05T19:09:25.6883280Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [568]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6883550Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [569]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=39434752) 2025-06-05T19:09:25.6883860Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [570]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6884140Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [571]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=39565824) 2025-06-05T19:09:25.6884380Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [572]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6884650Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [573]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=39696896) 2025-06-05T19:09:25.6884900Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [574]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6885240Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [575]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=39827968) 2025-06-05T19:09:25.6885490Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [576]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6885750Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [577]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=39959040) 2025-06-05T19:09:25.6886000Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [578]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6886270Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [579]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=39991808) 2025-06-05T19:09:25.6886590Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [580]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6886860Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [581]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=40024576) 2025-06-05T19:09:25.6887200Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [582]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6887470Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [583]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40057344) 2025-06-05T19:09:25.6887710Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [584]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6887980Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [585]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=40188416) 2025-06-05T19:09:25.6888240Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [586]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6888500Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [587]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40319488) 2025-06-05T19:09:25.6888750Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [588]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6889020Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [589]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40450560) 2025-06-05T19:09:25.6889270Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [590]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6889540Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [591]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40581632) 2025-06-05T19:09:25.6889820Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [592]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6890090Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [593]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40712704) 2025-06-05T19:09:25.6890340Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [594]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6890610Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [595]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=40843776) 2025-06-05T19:09:25.6890950Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [596]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6891220Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [597]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=40974848) 2025-06-05T19:09:25.6891470Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [598]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6891740Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [599]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=41105920) 2025-06-05T19:09:25.6891980Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [600]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6892320Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [601]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=41236992) 2025-06-05T19:09:25.6892580Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [602]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6892890Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [603]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=41368064) 2025-06-05T19:09:25.6893150Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [604]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6893410Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [605]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=41499136) 2025-06-05T19:09:25.6893660Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [606]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6893930Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [607]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=41630208) 2025-06-05T19:09:25.6894180Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [608]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6894450Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [609]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=41662976) 2025-06-05T19:09:25.6894690Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [610]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6894960Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [611]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=41695744) 2025-06-05T19:09:25.6895210Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [612]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6895510Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [613]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=41728512) 2025-06-05T19:09:25.6895770Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [614]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6896030Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [615]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=41859584) 2025-06-05T19:09:25.6896280Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [616]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6896550Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [617]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=41990656) 2025-06-05T19:09:25.6896840Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [618]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6897110Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [619]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=42121728) 2025-06-05T19:09:25.6897360Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [620]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6897630Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [621]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=42252800) 2025-06-05T19:09:25.6897870Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [622]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6898210Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [623]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=42383872) 2025-06-05T19:09:25.6898520Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [624]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6898790Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [625]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=42514944) 2025-06-05T19:09:25.6899040Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [626]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6899300Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [627]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=42646016) 2025-06-05T19:09:25.6899550Z [INFO 2025-06-05 19:09:25,591 mps_preprocess.py:291] [628]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6899820Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [629]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=42777088) 2025-06-05T19:09:25.6900070Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [630]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6900340Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [631]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=42908160) 2025-06-05T19:09:25.6900580Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [632]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6900850Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [633]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=43039232) 2025-06-05T19:09:25.6901100Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [634]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6901410Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [635]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=43170304) 2025-06-05T19:09:25.6901660Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [636]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6901930Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [637]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=43301376) 2025-06-05T19:09:25.6902170Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [638]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6902510Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [639]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=43334144) 2025-06-05T19:09:25.6902760Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [640]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6903030Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [641]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=43366912) 2025-06-05T19:09:25.6903270Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [642]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6903540Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [643]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=43399680) 2025-06-05T19:09:25.6903850Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [644]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6904130Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [645]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=43530752) 2025-06-05T19:09:25.6904430Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [646]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6904700Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [647]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=43661824) 2025-06-05T19:09:25.6904950Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [648]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6905220Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [649]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=43792896) 2025-06-05T19:09:25.6905470Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [650]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6905740Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [651]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=43923968) 2025-06-05T19:09:25.6905990Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [652]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6906250Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [653]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=44055040) 2025-06-05T19:09:25.6906500Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [654]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6906770Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [655]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=44186112) 2025-06-05T19:09:25.6907060Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [656]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6907340Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [657]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=44317184) 2025-06-05T19:09:25.6907580Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [658]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6907850Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [659]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=44448256) 2025-06-05T19:09:25.6908100Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [660]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6908430Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [661]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=44579328) 2025-06-05T19:09:25.6908690Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [662]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6908950Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [663]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=44710400) 2025-06-05T19:09:25.6909200Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [664]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6909560Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [665]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=44841472) 2025-06-05T19:09:25.6909820Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [666]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6910160Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [667]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=44972544) 2025-06-05T19:09:25.6910410Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [668]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6910670Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [669]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=45005312) 2025-06-05T19:09:25.6910920Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [670]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6911190Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [671]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=45038080) 2025-06-05T19:09:25.6911440Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [672]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6911700Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [673]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45070848) 2025-06-05T19:09:25.6911950Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [674]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6912220Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [675]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=45201920) 2025-06-05T19:09:25.6912470Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [676]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6912740Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [677]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45332992) 2025-06-05T19:09:25.6913010Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [678]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6913280Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [679]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45464064) 2025-06-05T19:09:25.6913530Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [680]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6913800Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [681]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45595136) 2025-06-05T19:09:25.6914100Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [682]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6914370Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [683]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45726208) 2025-06-05T19:09:25.6914610Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [684]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6914880Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [685]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=45857280) 2025-06-05T19:09:25.6915130Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [686]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6915450Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [687]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=45988352) 2025-06-05T19:09:25.6915710Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [688]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6916020Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [689]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=46119424) 2025-06-05T19:09:25.6916270Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [690]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6916530Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [691]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=46250496) 2025-06-05T19:09:25.6916780Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [692]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6917050Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [693]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=46381568) 2025-06-05T19:09:25.6917300Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [694]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6920510Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [695]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=46512640) 2025-06-05T19:09:25.6920770Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [696]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6921040Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [697]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=46643712) 2025-06-05T19:09:25.6921290Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [698]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6921600Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [699]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=46676480) 2025-06-05T19:09:25.6921850Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [700]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6922120Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [701]: MPSTensor(datatype=1, num_dims=2, dims=[128, 128], constant_buffer_size=32768, segment_offset=46709248) 2025-06-05T19:09:25.6922370Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [702]: MPSTensor(datatype=2, num_dims=2, dims=[128, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6922640Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [703]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=46742016) 2025-06-05T19:09:25.6922940Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [704]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6923210Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [705]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=46873088) 2025-06-05T19:09:25.6923470Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [706]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6923730Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [707]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47004160) 2025-06-05T19:09:25.6924030Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [708]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6924310Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [709]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47135232) 2025-06-05T19:09:25.6924630Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [710]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6924900Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [711]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47266304) 2025-06-05T19:09:25.6925150Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [712]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6925420Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [713]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47397376) 2025-06-05T19:09:25.6925670Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [714]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6925940Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [715]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=47528448) 2025-06-05T19:09:25.6926190Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [716]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6926470Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [717]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47659520) 2025-06-05T19:09:25.6926720Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [718]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6926990Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [719]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=47790592) 2025-06-05T19:09:25.6927240Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [720]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6927530Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [721]: MPSTensor(datatype=1, num_dims=2, dims=[128, 512], constant_buffer_size=131072, segment_offset=47921664) 2025-06-05T19:09:25.6927780Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [722]: MPSTensor(datatype=2, num_dims=2, dims=[512, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6928050Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [723]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=48052736) 2025-06-05T19:09:25.6928300Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [724]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6928630Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [725]: MPSTensor(datatype=1, num_dims=2, dims=[512, 128], constant_buffer_size=131072, segment_offset=48183808) 2025-06-05T19:09:25.6928890Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [726]: MPSTensor(datatype=2, num_dims=2, dims=[128, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6929150Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [727]: MPSTensor(datatype=9, num_dims=2, dims=[1, 512], constant_buffer_size=4096, segment_offset=48314880) 2025-06-05T19:09:25.6929390Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [728]: MPSTensor(datatype=9, num_dims=2, dims=[1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6929640Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [729]: MPSTensor(datatype=2, num_dims=3, dims=[1, 1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6929940Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [730]: MPSTensor(datatype=1, num_dims=2, dims=[2, 512], constant_buffer_size=2048, segment_offset=48318976) 2025-06-05T19:09:25.6930200Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [731]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6930500Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [732]: MPSTensor(datatype=2, num_dims=3, dims=[1, 7, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6930750Z [INFO 2025-06-05 19:09:25,592 mps_preprocess.py:291] [733]: MPSTensor(datatype=2, num_dims=3, dims=[1, 7, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6931020Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [734]: MPSTensor(datatype=1, num_dims=2, dims=[512, 512], constant_buffer_size=524288, segment_offset=48321024) 2025-06-05T19:09:25.6931280Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [735]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6931520Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [736]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1, 1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6931780Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [737]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6932030Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [738]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6932280Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [739]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48845312) 2025-06-05T19:09:25.6932530Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [740]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1, 1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6932780Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [741]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 384], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6933060Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [742]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48845314) 2025-06-05T19:09:25.6933330Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [743]: MPSTensor(datatype=2, num_dims=4, dims=[1, 1, 1, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6933570Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [744]: MPSTensor(datatype=2, num_dims=2, dims=[8, 384], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6933830Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [745]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48845316) 2025-06-05T19:09:25.6934080Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [746]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6934380Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [747]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6934630Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [748]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6934880Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [749]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6935140Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [750]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48846340) 2025-06-05T19:09:25.6935390Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [751]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6935750Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [752]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48847364) 2025-06-05T19:09:25.6936010Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [753]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6936320Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [754]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6936570Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [755]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6936810Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [756]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6937080Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [757]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48848388) 2025-06-05T19:09:25.6937330Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [758]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6937590Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [759]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48848644) 2025-06-05T19:09:25.6937840Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [760]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6938100Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [761]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48848900) 2025-06-05T19:09:25.6938350Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [762]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6938600Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [763]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6938870Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [764]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6939120Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [765]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6939390Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [766]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48849156) 2025-06-05T19:09:25.6939640Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [767]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6939900Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [768]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48849412) 2025-06-05T19:09:25.6940210Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [769]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6940460Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [770]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6940720Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [771]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48849668) 2025-06-05T19:09:25.6940970Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [772]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6941230Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [773]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48849924) 2025-06-05T19:09:25.6941530Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [774]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6941780Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [775]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6942080Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [776]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6942330Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [777]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6942580Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [778]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6942840Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [779]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48850180) 2025-06-05T19:09:25.6943090Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [780]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6943350Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [781]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48850436) 2025-06-05T19:09:25.6943590Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [782]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6943850Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [783]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6944090Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [784]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6944350Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [785]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6944650Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [786]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6944900Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [787]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6945150Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [788]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6945400Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [789]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6945650Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [790]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6945960Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [791]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6946210Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [792]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6946460Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [793]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6946720Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [794]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6946970Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [795]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6947280Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [796]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6947540Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [797]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48850692) 2025-06-05T19:09:25.6947850Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [798]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6948100Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [799]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6948340Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [800]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6948590Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [801]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6948840Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [802]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6949090Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [803]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6949330Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [804]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6949580Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [805]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6949830Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [806]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6950070Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [807]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6950360Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [808]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48850694) 2025-06-05T19:09:25.6950610Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [809]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6950850Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [810]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6951100Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [811]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6951370Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [812]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48850950) 2025-06-05T19:09:25.6951690Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [813]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6951950Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [814]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48851206) 2025-06-05T19:09:25.6952200Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [815]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6952440Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [816]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6952700Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [817]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48851462) 2025-06-05T19:09:25.6953030Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [818]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6953280Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [819]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6953590Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [820]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6953830Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [821]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6954090Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [822]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48852486) 2025-06-05T19:09:25.6954340Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [823]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6954590Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [824]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6954850Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [825]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6955110Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [826]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48852742) 2025-06-05T19:09:25.6955360Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [827]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6955620Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [828]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48852998) 2025-06-05T19:09:25.6955870Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [829]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6956160Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [830]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6956420Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [831]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48853254) 2025-06-05T19:09:25.6956670Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [832]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6956920Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [833]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6957170Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [834]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6957480Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [835]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6957740Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [836]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48854278) 2025-06-05T19:09:25.6958000Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [837]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6958250Z [INFO 2025-06-05 19:09:25,593 mps_preprocess.py:291] [838]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6958500Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [839]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6958820Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [840]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48854534) 2025-06-05T19:09:25.6959070Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [841]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6959380Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [842]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48854790) 2025-06-05T19:09:25.6959620Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [843]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6959870Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [844]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6960130Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [845]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48855046) 2025-06-05T19:09:25.6960380Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [846]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6960620Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [847]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6960870Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [848]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6961110Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [849]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6961370Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [850]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48856070) 2025-06-05T19:09:25.6961620Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [851]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6961890Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [852]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6962140Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [853]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6962400Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [854]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48856326) 2025-06-05T19:09:25.6962650Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [855]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6962910Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [856]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48856582) 2025-06-05T19:09:25.6963220Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [857]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6963470Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [858]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6963720Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [859]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48856838) 2025-06-05T19:09:25.6963970Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [860]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6964220Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [861]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6964520Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [862]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6964770Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [863]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6965070Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [864]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48857862) 2025-06-05T19:09:25.6965320Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [865]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6965570Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [866]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6965820Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [867]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6966080Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [868]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48858118) 2025-06-05T19:09:25.6966330Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [869]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6966590Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [870]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48858374) 2025-06-05T19:09:25.6966830Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [871]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6967080Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [872]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6967350Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [873]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48858630) 2025-06-05T19:09:25.6967610Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [874]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6967870Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [875]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6968110Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [876]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6968370Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [877]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48859654) 2025-06-05T19:09:25.6968620Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [878]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6968920Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [879]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48860678) 2025-06-05T19:09:25.6969170Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [880]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6969420Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [881]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6969670Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [882]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6969910Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [883]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6970220Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [884]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48861702) 2025-06-05T19:09:25.6970470Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [885]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6971530Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [886]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48861958) 2025-06-05T19:09:25.6971800Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [887]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6972060Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [888]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48862214) 2025-06-05T19:09:25.6972320Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [889]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6972570Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [890]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6972830Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [891]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6973080Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [892]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6973340Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [893]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48862470) 2025-06-05T19:09:25.6973590Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [894]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6973860Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [895]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48862726) 2025-06-05T19:09:25.6974170Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [896]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6974430Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [897]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6974690Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [898]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48862982) 2025-06-05T19:09:25.6974940Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [899]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6975200Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [900]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48863238) 2025-06-05T19:09:25.6975570Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [901]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6975820Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [902]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6976070Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [903]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6976310Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [904]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6976560Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [905]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6976890Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [906]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48863494) 2025-06-05T19:09:25.6977150Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [907]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6977470Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [908]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48863750) 2025-06-05T19:09:25.6977710Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [909]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6977970Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [910]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6978220Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [911]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6978470Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [912]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6978720Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [913]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6978970Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [914]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6979220Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [915]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6979470Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [916]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6979720Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [917]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6980010Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [918]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6980270Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [919]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6980520Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [920]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6980770Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [921]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6981020Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [922]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6981330Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [923]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6981580Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [924]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48864006) 2025-06-05T19:09:25.6981830Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [925]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6982080Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [926]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6982330Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [927]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6982640Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [928]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6982900Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [929]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6983200Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [930]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6983450Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [931]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6983710Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [932]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6983960Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [933]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6984210Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [934]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6984480Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [935]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48864008) 2025-06-05T19:09:25.6984730Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [936]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6984980Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [937]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6985230Z [INFO 2025-06-05 19:09:25,594 mps_preprocess.py:291] [938]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6985500Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [939]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48864264) 2025-06-05T19:09:25.6985770Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [940]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6986040Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [941]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48864520) 2025-06-05T19:09:25.6986280Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [942]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6986530Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [943]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6986790Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [944]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48864776) 2025-06-05T19:09:25.6987100Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [945]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6987350Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [946]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6987600Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [947]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6987840Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [948]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6988100Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [949]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48865800) 2025-06-05T19:09:25.6988400Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [950]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6988660Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [951]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6988950Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [952]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6989210Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [953]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48866056) 2025-06-05T19:09:25.6989460Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [954]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6989730Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [955]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48866312) 2025-06-05T19:09:25.6989980Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [956]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6990230Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [957]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6990500Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [958]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48866568) 2025-06-05T19:09:25.6990750Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [959]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6991000Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [960]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6991250Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [961]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6991530Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [962]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6991800Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [963]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48867592) 2025-06-05T19:09:25.6992040Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [964]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6992290Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [965]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6992540Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [966]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6992850Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [967]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48867848) 2025-06-05T19:09:25.6993100Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [968]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6993360Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [969]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48868104) 2025-06-05T19:09:25.6993610Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [970]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6993860Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [971]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6994170Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [972]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48868360) 2025-06-05T19:09:25.6994430Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [973]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6994740Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [974]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6994990Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [975]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6995240Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [976]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6995500Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [977]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48869384) 2025-06-05T19:09:25.6995750Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [978]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6996000Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [979]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6996250Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [980]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6996520Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [981]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48869640) 2025-06-05T19:09:25.6996760Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [982]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6997030Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [983]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48869896) 2025-06-05T19:09:25.6997290Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [984]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6997540Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [985]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6997800Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [986]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48870152) 2025-06-05T19:09:25.6998050Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [987]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6998290Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [988]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6998640Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [989]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6998890Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [990]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6999150Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [991]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48871176) 2025-06-05T19:09:25.6999390Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [992]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6999640Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [993]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.6999980Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [994]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7000240Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [995]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48871432) 2025-06-05T19:09:25.7000560Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [996]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7000820Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [997]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48871688) 2025-06-05T19:09:25.7001070Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [998]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7001310Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [999]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7001580Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1000]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48871944) 2025-06-05T19:09:25.7001830Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1001]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7002080Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1002]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7002330Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1003]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7002590Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1004]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48872968) 2025-06-05T19:09:25.7002850Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1005]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7003150Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1006]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48873992) 2025-06-05T19:09:25.7003400Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1007]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7003650Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1008]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7003900Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1009]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7004150Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1010]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7004470Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1011]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48875016) 2025-06-05T19:09:25.7004720Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1012]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7005000Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1013]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48875272) 2025-06-05T19:09:25.7005240Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1014]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7005510Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1015]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48875528) 2025-06-05T19:09:25.7005830Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1016]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7006090Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1017]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7006400Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1018]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7006650Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1019]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7006920Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1020]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48875784) 2025-06-05T19:09:25.7007170Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1021]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7007440Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1022]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48876040) 2025-06-05T19:09:25.7007690Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1023]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7007950Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1024]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7008210Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1025]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48876296) 2025-06-05T19:09:25.7008470Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1026]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7008730Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1027]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48876552) 2025-06-05T19:09:25.7009010Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1028]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7009270Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1029]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7009520Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1030]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7009770Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1031]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7010030Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1032]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7010350Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1033]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48876808) 2025-06-05T19:09:25.7010600Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1034]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7010870Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1035]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48877064) 2025-06-05T19:09:25.7011120Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1036]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7011380Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1037]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7011670Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1038]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7011970Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1039]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7012230Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1040]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7012490Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1041]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7012750Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1042]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7013000Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1043]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7013250Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1044]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7013510Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1045]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7013760Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1046]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7014010Z [INFO 2025-06-05 19:09:25,595 mps_preprocess.py:291] [1047]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7014260Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1048]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7014520Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1049]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7014800Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1050]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7015050Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1051]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48877320) 2025-06-05T19:09:25.7015310Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1052]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7015560Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1053]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7015810Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1054]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7016110Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1055]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7016370Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1056]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7016620Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1057]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7016880Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1058]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7017180Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1059]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7017450Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1060]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7017770Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1061]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7018030Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1062]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48877322) 2025-06-05T19:09:25.7018290Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1063]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7018540Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1064]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7018790Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1065]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7019070Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1066]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48877578) 2025-06-05T19:09:25.7019330Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1067]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7019610Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1068]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48877834) 2025-06-05T19:09:25.7019860Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1069]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7020120Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1070]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7020380Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1071]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48878090) 2025-06-05T19:09:25.7020650Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1072]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7020910Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1073]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7021160Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1074]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7021400Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1075]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7021730Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1076]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48879114) 2025-06-05T19:09:25.7021980Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1077]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7022230Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1078]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7022490Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1079]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7022750Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1080]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48879370) 2025-06-05T19:09:25.7023040Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1081]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7023310Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1082]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48879626) 2025-06-05T19:09:25.7023620Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1083]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7023870Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1084]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7024140Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1085]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48879882) 2025-06-05T19:09:25.7024380Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1086]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7024640Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1087]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7024890Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1088]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7025140Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1089]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7025400Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1090]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48880906) 2025-06-05T19:09:25.7025650Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1091]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7025900Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1092]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7026160Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1093]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7026470Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1094]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48881162) 2025-06-05T19:09:25.7026720Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1095]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7026990Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1096]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48881418) 2025-06-05T19:09:25.7027240Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1097]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7027540Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1098]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7027810Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1099]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48881674) 2025-06-05T19:09:25.7028060Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1100]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7028310Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1101]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7028560Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1102]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7028890Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1103]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7029150Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1104]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48882698) 2025-06-05T19:09:25.7029450Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1105]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7029700Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1106]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7029950Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1107]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7030230Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1108]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48882954) 2025-06-05T19:09:25.7030500Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1109]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7030770Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1110]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48883210) 2025-06-05T19:09:25.7031020Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1111]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7031270Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1112]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7031540Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1113]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48883466) 2025-06-05T19:09:25.7031790Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1114]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7032040Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1115]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7032330Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1116]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7032580Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1117]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7032840Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1118]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48884490) 2025-06-05T19:09:25.7033090Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1119]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7033400Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1120]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7033650Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1121]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7033920Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1122]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48884746) 2025-06-05T19:09:25.7034180Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1123]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7034440Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1124]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48885002) 2025-06-05T19:09:25.7034740Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1125]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7035000Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1126]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7035310Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1127]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48885258) 2025-06-05T19:09:25.7035560Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1128]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7035810Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1129]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7036060Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1130]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7036330Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1131]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48886282) 2025-06-05T19:09:25.7036580Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1132]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7036850Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1133]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48887306) 2025-06-05T19:09:25.7037090Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1134]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7037340Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1135]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7037590Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1136]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7037870Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1137]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7038140Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1138]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48888330) 2025-06-05T19:09:25.7038380Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1139]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7038640Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1140]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48888586) 2025-06-05T19:09:25.7038890Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1141]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7039200Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1142]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48888842) 2025-06-05T19:09:25.7039450Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1143]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7039700Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1144]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7039950Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1145]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7040200Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1146]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7040530Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1147]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48889098) 2025-06-05T19:09:25.7040790Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1148]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7041110Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1149]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48889354) 2025-06-05T19:09:25.7041370Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1150]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7041620Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1151]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7041890Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1152]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48889610) 2025-06-05T19:09:25.7042140Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1153]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7042400Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1154]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48889866) 2025-06-05T19:09:25.7042660Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1155]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7042910Z [INFO 2025-06-05 19:09:25,596 mps_preprocess.py:291] [1156]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7043160Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1157]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7043410Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1158]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7043680Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1159]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7043950Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1160]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48890122) 2025-06-05T19:09:25.7044200Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1161]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7044460Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1162]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48890378) 2025-06-05T19:09:25.7044710Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1163]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7045030Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1164]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7045280Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1165]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7045530Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1166]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7045780Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1167]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7046030Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1168]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7046330Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1169]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7046590Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1170]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7046900Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1171]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7047150Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1172]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7047400Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1173]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7047660Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1174]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7047910Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1175]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7048170Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1176]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7048430Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1177]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7048680Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1178]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48890634) 2025-06-05T19:09:25.7048930Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1179]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7049180Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1180]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7049460Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1181]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7049720Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1182]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7049970Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1183]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7050220Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1184]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7050470Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1185]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7050770Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7051020Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1187]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7051270Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1188]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7051530Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1189]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48890636) 2025-06-05T19:09:25.7051780Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1190]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7052100Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1191]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7052350Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1192]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7052670Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1193]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48890892) 2025-06-05T19:09:25.7052920Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1194]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7053180Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1195]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48891148) 2025-06-05T19:09:25.7053430Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1196]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7053680Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1197]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7053950Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1198]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48891404) 2025-06-05T19:09:25.7054200Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1199]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7054440Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1200]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7054690Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1201]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7054940Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1202]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7055230Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1203]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48892428) 2025-06-05T19:09:25.7055480Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1204]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7055740Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1205]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7055990Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1206]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7056250Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1207]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48892684) 2025-06-05T19:09:25.7056560Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1208]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7056820Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1209]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48892940) 2025-06-05T19:09:25.7057070Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1210]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7057320Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1211]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7057580Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1212]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48893196) 2025-06-05T19:09:25.7057880Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1213]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7058180Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1214]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7058430Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1215]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7058680Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1216]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7058940Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1217]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48894220) 2025-06-05T19:09:25.7059190Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1218]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7059440Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1219]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7059700Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1220]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7059960Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1221]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48894476) 2025-06-05T19:09:25.7060210Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1222]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7060470Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1223]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48894732) 2025-06-05T19:09:25.7060720Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1224]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7061000Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1225]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7061260Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1226]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48894988) 2025-06-05T19:09:25.7061510Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1227]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7061760Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1228]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7062010Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1229]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7062300Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1230]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7062570Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1231]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48896012) 2025-06-05T19:09:25.7062810Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1232]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7063060Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1233]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7063310Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1234]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7063630Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1235]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48896268) 2025-06-05T19:09:25.7063940Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1236]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7064210Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1237]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48896524) 2025-06-05T19:09:25.7064450Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1238]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7064700Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1239]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7064970Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1240]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48896780) 2025-06-05T19:09:25.7065220Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1241]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7065480Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1242]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7065730Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1243]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7065980Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1244]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7066240Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1245]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48897804) 2025-06-05T19:09:25.7066490Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1246]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7066780Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1247]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7067030Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1248]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7067290Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1249]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48898060) 2025-06-05T19:09:25.7067550Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1250]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7067900Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1251]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48898316) 2025-06-05T19:09:25.7068150Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1252]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7068400Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1253]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7068670Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1254]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48898572) 2025-06-05T19:09:25.7068920Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1255]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7069230Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1256]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7069490Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1257]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7069850Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1258]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48899596) 2025-06-05T19:09:25.7070100Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1259]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7070360Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1260]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48900620) 2025-06-05T19:09:25.7070610Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1261]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7074390Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1262]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7074660Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1263]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7074910Z [INFO 2025-06-05 19:09:25,597 mps_preprocess.py:291] [1264]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7075170Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1265]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48901644) 2025-06-05T19:09:25.7075410Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1266]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7075670Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1267]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48901900) 2025-06-05T19:09:25.7075920Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1268]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7076250Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1269]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48902156) 2025-06-05T19:09:25.7076500Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1270]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7076760Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1271]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7077010Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1272]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7077340Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1273]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7077600Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1274]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48902412) 2025-06-05T19:09:25.7077850Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1275]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7078120Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1276]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48902668) 2025-06-05T19:09:25.7078370Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1277]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7078700Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1278]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7078970Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1279]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48902924) 2025-06-05T19:09:25.7079290Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1280]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7079550Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1281]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48903180) 2025-06-05T19:09:25.7079810Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1282]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7080060Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1283]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7080310Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1284]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7080560Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1285]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7080810Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1286]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7081070Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1287]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48903436) 2025-06-05T19:09:25.7081320Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1288]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7081580Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1289]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48903692) 2025-06-05T19:09:25.7081830Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1290]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7082120Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1291]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7082370Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1292]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7082620Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1293]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7082880Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1294]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7083210Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1295]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7083460Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1296]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7083720Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1297]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7083970Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1298]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7084220Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1299]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7084550Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1300]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7084810Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1301]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7085140Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1302]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7085380Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1303]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7085640Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1304]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7085890Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1305]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48903948) 2025-06-05T19:09:25.7086150Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1306]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7086400Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1307]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7086650Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1308]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7086910Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1309]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7087150Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1310]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7087410Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1311]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7087700Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1312]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7087950Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1313]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7088210Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1314]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7088460Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1315]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7088720Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1316]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48903950) 2025-06-05T19:09:25.7089030Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1317]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7089280Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1318]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7089530Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1319]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7089790Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1320]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48904206) 2025-06-05T19:09:25.7090040Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1321]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7090360Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1322]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48904462) 2025-06-05T19:09:25.7090620Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1323]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7090930Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1324]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7091190Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1325]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48904718) 2025-06-05T19:09:25.7091440Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1326]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7091690Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1327]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7091950Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1328]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7092200Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1329]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7092460Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1330]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48905742) 2025-06-05T19:09:25.7092710Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1331]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7092960Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1332]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7093210Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1333]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7093510Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1334]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48905998) 2025-06-05T19:09:25.7093760Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1335]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7094030Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1336]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48906254) 2025-06-05T19:09:25.7094280Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1337]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7094530Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1338]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7094870Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1339]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48906510) 2025-06-05T19:09:25.7095120Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1340]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7095380Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1341]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7095630Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1342]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7095880Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1343]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7096210Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1344]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48907534) 2025-06-05T19:09:25.7096460Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1345]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7096770Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1346]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7097020Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1347]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7097280Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1348]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48907790) 2025-06-05T19:09:25.7097530Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1349]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7097790Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1350]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48908046) 2025-06-05T19:09:25.7098050Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1351]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7098300Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1352]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7098560Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1353]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48908302) 2025-06-05T19:09:25.7098810Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1354]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7099070Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1355]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7099350Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1356]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7099600Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1357]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7099870Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1358]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48909326) 2025-06-05T19:09:25.7100110Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1359]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7100370Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1360]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7100670Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1361]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7100930Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1362]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48909582) 2025-06-05T19:09:25.7101190Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1363]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7101440Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1364]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48909838) 2025-06-05T19:09:25.7101690Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1365]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7102000Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1366]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7102270Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1367]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48910094) 2025-06-05T19:09:25.7102570Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1368]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7102820Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1369]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7103070Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1370]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7103320Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1371]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7103580Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1372]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48911118) 2025-06-05T19:09:25.7103830Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1373]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7104090Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1374]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7104340Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1375]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7104600Z [INFO 2025-06-05 19:09:25,598 mps_preprocess.py:291] [1376]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48911374) 2025-06-05T19:09:25.7104860Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1377]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7105140Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1378]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48911630) 2025-06-05T19:09:25.7105390Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1379]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7105640Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1380]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7105910Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1381]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48911886) 2025-06-05T19:09:25.7106150Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1382]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7106460Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1383]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7106720Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1384]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7106980Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1385]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48912910) 2025-06-05T19:09:25.7107230Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1386]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7107490Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1387]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48913934) 2025-06-05T19:09:25.7107800Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1388]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7108090Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1389]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7108340Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1390]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7108580Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1391]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7108850Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1392]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48914958) 2025-06-05T19:09:25.7109100Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1393]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7109360Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1394]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48915214) 2025-06-05T19:09:25.7109600Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1395]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7109860Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1396]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48915470) 2025-06-05T19:09:25.7110110Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1397]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7110360Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1398]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7110610Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1399]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7110910Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1400]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7111170Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1401]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48915726) 2025-06-05T19:09:25.7111420Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1402]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7111680Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1403]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48915982) 2025-06-05T19:09:25.7111930Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1404]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7112230Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1405]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7112490Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1406]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48916238) 2025-06-05T19:09:25.7112740Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1407]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7113000Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1408]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48916494) 2025-06-05T19:09:25.7113250Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1409]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7113560Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1410]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7113890Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1411]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7114140Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1412]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7114390Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1413]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7114650Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1414]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48916750) 2025-06-05T19:09:25.7114900Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1415]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7115160Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1416]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48917006) 2025-06-05T19:09:25.7115420Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1417]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7115660Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1418]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7115920Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1419]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7116170Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1420]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7116430Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1421]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7116700Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1422]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7116960Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1423]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7117210Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1424]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7117460Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1425]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7117780Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1426]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7118030Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1427]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7118290Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1428]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7118540Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1429]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7118790Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1430]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7119080Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1431]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7119340Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1432]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48917262) 2025-06-05T19:09:25.7119650Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1433]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7119900Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1434]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7120150Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1435]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7120400Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1436]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7120650Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1437]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7120900Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1438]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7121150Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1439]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7121400Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1440]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7121650Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1441]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7121890Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1442]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7122160Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1443]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48917264) 2025-06-05T19:09:25.7122450Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1444]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7122700Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1445]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7122950Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1446]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7123210Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1447]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48917520) 2025-06-05T19:09:25.7123520Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1448]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7123790Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1449]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48917776) 2025-06-05T19:09:25.7124040Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1450]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7124290Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1451]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7124550Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1452]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48918032) 2025-06-05T19:09:25.7124870Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1453]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7125130Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1454]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7125430Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1455]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7125680Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1456]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7125940Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1457]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48919056) 2025-06-05T19:09:25.7126190Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1458]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7126440Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1459]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7126700Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1460]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7126960Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1461]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48919312) 2025-06-05T19:09:25.7127210Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1462]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7127470Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1463]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48919568) 2025-06-05T19:09:25.7127720Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1464]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7127980Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1465]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7128270Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1466]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48919824) 2025-06-05T19:09:25.7128520Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1467]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7128780Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1468]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7129030Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1469]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7129340Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1470]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7129610Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1471]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48920848) 2025-06-05T19:09:25.7129860Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1472]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7130120Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1473]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7130370Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1474]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7130680Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1475]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48921104) 2025-06-05T19:09:25.7130940Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1476]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7131250Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1477]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48921360) 2025-06-05T19:09:25.7131500Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1478]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7131740Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1479]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7132010Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1480]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48921616) 2025-06-05T19:09:25.7132260Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1481]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7132510Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1482]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7132770Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1483]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7133010Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1484]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7133270Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1485]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48922640) 2025-06-05T19:09:25.7133530Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1486]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7133790Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1487]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7134060Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1488]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7134330Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1489]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48922896) 2025-06-05T19:09:25.7134580Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1490]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7134850Z [INFO 2025-06-05 19:09:25,599 mps_preprocess.py:291] [1491]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48923152) 2025-06-05T19:09:25.7135150Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1492]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7135400Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1493]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7135670Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1494]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48923408) 2025-06-05T19:09:25.7135910Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1495]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7136170Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1496]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7136470Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1497]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7136720Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1498]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7137050Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1499]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48924432) 2025-06-05T19:09:25.7137290Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1500]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7137540Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1501]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7137790Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1502]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7138060Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1503]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48924688) 2025-06-05T19:09:25.7138310Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1504]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7138570Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1505]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48924944) 2025-06-05T19:09:25.7138830Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1506]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7139080Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1507]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7139340Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1508]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48925200) 2025-06-05T19:09:25.7139610Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1509]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7139870Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1510]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7140120Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1511]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7140390Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1512]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48926224) 2025-06-05T19:09:25.7140640Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1513]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7140970Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1514]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48927248) 2025-06-05T19:09:25.7141220Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1515]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7141470Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1516]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7141720Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1517]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7141970Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1518]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7142270Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1519]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48928272) 2025-06-05T19:09:25.7142530Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1520]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7142840Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1521]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48928528) 2025-06-05T19:09:25.7143090Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1522]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7143350Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1523]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48928784) 2025-06-05T19:09:25.7143600Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1524]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7143860Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1525]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7144110Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1526]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7144360Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1527]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7144620Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1528]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48929040) 2025-06-05T19:09:25.7144870Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1529]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7145140Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1530]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48929296) 2025-06-05T19:09:25.7145420Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1531]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7145680Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1532]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7145950Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1533]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48929552) 2025-06-05T19:09:25.7146210Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1534]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7146470Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1535]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48929808) 2025-06-05T19:09:25.7146780Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1536]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7147030Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1537]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7147280Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1538]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7147530Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1539]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7147780Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1540]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7148100Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1541]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48930064) 2025-06-05T19:09:25.7148350Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1542]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7148670Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1543]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48930320) 2025-06-05T19:09:25.7148910Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1544]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7149160Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1545]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7149410Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1546]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7149670Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1547]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7149920Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1548]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7150170Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1549]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7150420Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1550]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7150670Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1551]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7150930Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1552]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7151210Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1553]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7151460Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1554]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7151710Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1555]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7151960Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1556]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7152210Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1557]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7152510Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1558]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7152770Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1559]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48930576) 2025-06-05T19:09:25.7153020Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1560]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7153270Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1561]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7153520Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1562]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7153820Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1563]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7154120Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1564]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7154360Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1565]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7154620Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1566]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7154870Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1567]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7155120Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1568]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7155370Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1569]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7155630Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1570]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48930578) 2025-06-05T19:09:25.7155870Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1571]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7156130Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1572]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7156380Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1573]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7156640Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1574]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48930834) 2025-06-05T19:09:25.7156920Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1575]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7157180Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1576]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48931090) 2025-06-05T19:09:25.7157430Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1577]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7157680Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1578]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7157940Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1579]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48931346) 2025-06-05T19:09:25.7158240Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1580]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7158490Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1581]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7158740Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1582]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7158990Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1583]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7159250Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1584]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48932370) 2025-06-05T19:09:25.7159570Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1585]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7159880Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1586]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7160130Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1587]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7160390Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1588]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48932626) 2025-06-05T19:09:25.7160640Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1589]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7160910Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1590]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48932882) 2025-06-05T19:09:25.7161160Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1591]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7161410Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1592]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7161670Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1593]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48933138) 2025-06-05T19:09:25.7161910Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1594]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7162170Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1595]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7162410Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1596]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7162680Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1597]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7162950Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1598]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48934162) 2025-06-05T19:09:25.7163190Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1599]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7163440Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1600]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7163760Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1601]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7164030Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1602]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48934418) 2025-06-05T19:09:25.7164280Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1603]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7164540Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1604]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48934674) 2025-06-05T19:09:25.7164800Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1605]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7165090Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1606]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7165360Z [INFO 2025-06-05 19:09:25,600 mps_preprocess.py:291] [1607]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48934930) 2025-06-05T19:09:25.7165660Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1608]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7165910Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1609]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7166160Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1610]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7166410Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1611]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7166690Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1612]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48935954) 2025-06-05T19:09:25.7166940Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1613]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7167190Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1614]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7167440Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1615]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7167700Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1616]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48936210) 2025-06-05T19:09:25.7167950Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1617]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7168220Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1618]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48936466) 2025-06-05T19:09:25.7168510Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1619]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7168760Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1620]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7169030Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1621]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48936722) 2025-06-05T19:09:25.7169700Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1622]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7170010Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1623]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7170270Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1624]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7170510Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1625]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7170780Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1626]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48937746) 2025-06-05T19:09:25.7171030Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1627]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7171380Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1628]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7171640Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1629]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7171950Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1630]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48938002) 2025-06-05T19:09:25.7172210Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1631]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7172480Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1632]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48938258) 2025-06-05T19:09:25.7172730Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1633]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7172990Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1634]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7173270Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1635]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48938514) 2025-06-05T19:09:25.7173520Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1636]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7173770Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1637]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7174020Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1638]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7174290Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1639]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48939538) 2025-06-05T19:09:25.7174540Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1640]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7174840Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1641]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48940562) 2025-06-05T19:09:25.7175100Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1642]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7175350Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1643]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7175600Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1644]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7175910Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1645]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7176170Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1646]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48941586) 2025-06-05T19:09:25.7176420Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1647]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7176680Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1648]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48941842) 2025-06-05T19:09:25.7176940Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1649]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7177250Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1650]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48942098) 2025-06-05T19:09:25.7177500Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1651]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7177800Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1652]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7178050Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1653]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7178300Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1654]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7178570Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1655]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48942354) 2025-06-05T19:09:25.7178820Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1656]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7179080Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1657]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48942610) 2025-06-05T19:09:25.7179340Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1658]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7179590Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1659]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7179860Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1660]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48942866) 2025-06-05T19:09:25.7180110Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1661]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7180390Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1662]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48943122) 2025-06-05T19:09:25.7180650Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1663]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7180900Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1664]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7181150Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1665]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7181400Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1666]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7181700Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1667]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7181960Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1668]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48943378) 2025-06-05T19:09:25.7182210Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1669]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7182470Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1670]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48943634) 2025-06-05T19:09:25.7182710Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1671]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7183010Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1672]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7183270Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1673]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7183590Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1674]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7183840Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1675]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7184090Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1676]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7184340Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1677]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7184590Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1678]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7184850Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1679]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7185100Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1680]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7185360Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1681]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7185610Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1682]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7185860Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1683]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7186130Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1684]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7186380Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1685]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7186630Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1686]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48943890) 2025-06-05T19:09:25.7186880Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1687]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7187130Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1688]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7187460Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1689]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7187710Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1690]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7187950Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1691]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7188200Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1692]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7188450Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1693]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7188760Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1694]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7189010Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1695]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7189310Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1696]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7189570Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1697]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48943892) 2025-06-05T19:09:25.7189820Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1698]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7190070Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1699]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7190320Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1700]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7190590Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1701]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48944148) 2025-06-05T19:09:25.7190840Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1702]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7191100Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1703]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48944404) 2025-06-05T19:09:25.7191350Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1704]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7191600Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1705]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7191890Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1706]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48944660) 2025-06-05T19:09:25.7192140Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1707]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7192390Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1708]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7192640Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1709]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7192890Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1710]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7193210Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1711]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48945684) 2025-06-05T19:09:25.7193450Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1712]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7193700Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1713]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7193950Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1714]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7194210Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1715]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48945940) 2025-06-05T19:09:25.7194540Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1716]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7194800Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1717]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48946196) 2025-06-05T19:09:25.7195120Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1718]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7195370Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1719]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7195630Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1720]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48946452) 2025-06-05T19:09:25.7195880Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1721]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7196130Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1722]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7196370Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1723]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7196630Z [INFO 2025-06-05 19:09:25,601 mps_preprocess.py:291] [1724]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7196900Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1725]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48947476) 2025-06-05T19:09:25.7197160Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1726]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7197420Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1727]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7197700Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1728]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7197960Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1729]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48947732) 2025-06-05T19:09:25.7198220Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1730]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7198480Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1731]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48947988) 2025-06-05T19:09:25.7198730Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1732]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7199030Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1733]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7199300Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1734]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48948244) 2025-06-05T19:09:25.7199550Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1735]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7199800Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1736]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7200050Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1737]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7200350Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1738]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7200620Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1739]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48949268) 2025-06-05T19:09:25.7200910Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1740]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7201160Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1741]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7201410Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1742]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7201670Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1743]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48949524) 2025-06-05T19:09:25.7201930Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1744]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7202190Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1745]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48949780) 2025-06-05T19:09:25.7202450Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1746]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7202690Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1747]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7202960Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1748]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48950036) 2025-06-05T19:09:25.7203210Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1749]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7203490Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1750]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7203740Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1751]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7204000Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1752]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7204260Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1753]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48951060) 2025-06-05T19:09:25.7204510Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1754]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7204810Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1755]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7205060Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1756]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7205320Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1757]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48951316) 2025-06-05T19:09:25.7205570Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1758]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7205830Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1759]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48951572) 2025-06-05T19:09:25.7206140Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1760]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7206450Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1761]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7206710Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1762]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48951828) 2025-06-05T19:09:25.7206960Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1763]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7207210Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1764]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7207460Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1765]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7207730Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1766]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48952852) 2025-06-05T19:09:25.7207980Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1767]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7208240Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1768]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48953876) 2025-06-05T19:09:25.7208490Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1769]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7208750Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1770]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7209000Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1771]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7209270Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1772]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7209540Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1773]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48954900) 2025-06-05T19:09:25.7209780Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1774]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7210050Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1775]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48955156) 2025-06-05T19:09:25.7210290Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1776]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7210620Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1777]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48955412) 2025-06-05T19:09:25.7210870Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1778]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7211120Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1779]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7211370Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1780]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7211670Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1781]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7211930Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1782]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48955668) 2025-06-05T19:09:25.7212240Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1783]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7212500Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1784]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48955924) 2025-06-05T19:09:25.7212750Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1785]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7213000Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1786]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7213260Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1787]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48956180) 2025-06-05T19:09:25.7213520Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1788]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7213780Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1789]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48956436) 2025-06-05T19:09:25.7214040Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1790]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7214290Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1791]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7214530Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1792]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7214790Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1793]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7215080Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1794]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7215350Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1795]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48956692) 2025-06-05T19:09:25.7215600Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1796]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7215860Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1797]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48956948) 2025-06-05T19:09:25.7216210Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1798]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7216450Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1799]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7216700Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1800]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7216950Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1801]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7217200Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1802]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7217540Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1803]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7217790Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1804]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7218090Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1805]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7218340Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1806]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7218590Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1807]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7218830Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1808]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7219090Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1809]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7219330Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1810]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7219580Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1811]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7219830Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1812]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7220080Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1813]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48957204) 2025-06-05T19:09:25.7220330Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1814]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7220580Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1815]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7220880Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1816]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7221130Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1817]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7221380Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1818]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7221630Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1819]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7221940Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1820]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7222200Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1821]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7222450Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1822]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7222700Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1823]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7226190Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1824]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48957206) 2025-06-05T19:09:25.7226530Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1825]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7226790Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1826]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7227090Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1827]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7227350Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1828]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48957462) 2025-06-05T19:09:25.7227600Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1829]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7227860Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1830]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48957718) 2025-06-05T19:09:25.7228120Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1831]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7228370Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1832]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7228630Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1833]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48957974) 2025-06-05T19:09:25.7228880Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1834]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7229130Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1835]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7229380Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1836]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7229630Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1837]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7229920Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1838]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48958998) 2025-06-05T19:09:25.7230180Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1839]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7230430Z [INFO 2025-06-05 19:09:25,602 mps_preprocess.py:291] [1840]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7230680Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1841]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7230990Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1842]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48959254) 2025-06-05T19:09:25.7231240Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1843]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7231500Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1844]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48959510) 2025-06-05T19:09:25.7231750Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1845]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7232000Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1846]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7232330Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1847]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48959766) 2025-06-05T19:09:25.7232580Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1848]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7232890Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1849]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7233150Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1850]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7233390Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1851]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7233650Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1852]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48960790) 2025-06-05T19:09:25.7233900Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1853]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7234150Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1854]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7234400Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1855]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7234660Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1856]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48961046) 2025-06-05T19:09:25.7234910Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1857]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7235180Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1858]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48961302) 2025-06-05T19:09:25.7235450Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1859]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7235700Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1860]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7235960Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1861]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48961558) 2025-06-05T19:09:25.7236200Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1862]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7236450Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1863]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7236770Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1864]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7237020Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1865]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7237290Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1866]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48962582) 2025-06-05T19:09:25.7237540Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1867]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7237790Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1868]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7238090Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1869]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7238360Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1870]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48962838) 2025-06-05T19:09:25.7238660Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1871]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7238920Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1872]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48963094) 2025-06-05T19:09:25.7239170Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1873]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7239420Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1874]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7239680Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1875]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48963350) 2025-06-05T19:09:25.7239930Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1876]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7240180Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1877]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7240420Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1878]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7240670Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1879]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7240930Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1880]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48964374) 2025-06-05T19:09:25.7241210Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1881]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7241470Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1882]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7241720Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1883]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7241980Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1884]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48964630) 2025-06-05T19:09:25.7242230Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1885]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7242550Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1886]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48964886) 2025-06-05T19:09:25.7242810Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1887]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7243050Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1888]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7243310Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1889]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48965142) 2025-06-05T19:09:25.7243560Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1890]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7243870Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1891]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7244130Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1892]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7244450Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1893]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48966166) 2025-06-05T19:09:25.7244700Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1894]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7244960Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1895]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48967190) 2025-06-05T19:09:25.7245210Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1896]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7245450Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1897]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7245700Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1898]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7245950Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1899]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7246210Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1900]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48968214) 2025-06-05T19:09:25.7246450Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1901]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7246720Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1902]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48968470) 2025-06-05T19:09:25.7247000Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1903]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7247270Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1904]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48968726) 2025-06-05T19:09:25.7247510Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1905]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7247760Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1906]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7248020Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1907]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7248330Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1908]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7248600Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1909]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48968982) 2025-06-05T19:09:25.7248850Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1910]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7249110Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1911]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48969238) 2025-06-05T19:09:25.7249360Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1912]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7249680Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1913]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7249970Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1914]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48969494) 2025-06-05T19:09:25.7250270Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1915]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7250530Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1916]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48969750) 2025-06-05T19:09:25.7250780Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1917]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7251030Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1918]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7251280Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1919]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7251530Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1920]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7251780Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1921]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7252040Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1922]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48970006) 2025-06-05T19:09:25.7252290Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1923]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7252550Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1924]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48970262) 2025-06-05T19:09:25.7252830Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1925]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7253080Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1926]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7253330Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1927]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7253580Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1928]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7253840Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1929]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7254140Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1930]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7254390Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1931]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7254650Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1932]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7254900Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1933]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7255140Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1934]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7255440Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1935]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7255750Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1936]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7256000Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1937]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7256250Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1938]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7256500Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1939]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7256750Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1940]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48970518) 2025-06-05T19:09:25.7257000Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1941]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7257250Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1942]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7257500Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1943]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7257750Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1944]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7258000Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1945]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7258250Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1946]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7258540Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1947]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7258790Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1948]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7259040Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1949]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7259290Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1950]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7259630Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1951]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48970520) 2025-06-05T19:09:25.7259870Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1952]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7260130Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1953]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7260380Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1954]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7260640Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1955]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48970776) 2025-06-05T19:09:25.7260980Z [INFO 2025-06-05 19:09:25,603 mps_preprocess.py:291] [1956]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7261240Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1957]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48971032) 2025-06-05T19:09:25.7261560Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1958]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7261810Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1959]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7262070Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1960]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48971288) 2025-06-05T19:09:25.7262310Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1961]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7262570Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1962]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7262830Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1963]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7263070Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1964]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7263330Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1965]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48972312) 2025-06-05T19:09:25.7263580Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1966]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7263830Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1967]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7264080Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1968]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7264390Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1969]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48972568) 2025-06-05T19:09:25.7264640Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1970]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7264900Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1971]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48972824) 2025-06-05T19:09:25.7265150Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1972]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7265460Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1973]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7265720Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1974]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48973080) 2025-06-05T19:09:25.7265970Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1975]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7266220Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1976]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7266470Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1977]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7266780Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1978]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7267050Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1979]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48974104) 2025-06-05T19:09:25.7267350Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1980]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7267600Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1981]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7267850Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1982]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7268110Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1983]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48974360) 2025-06-05T19:09:25.7268370Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1984]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7268630Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1985]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48974616) 2025-06-05T19:09:25.7268880Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1986]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7269130Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1987]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7269400Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1988]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48974872) 2025-06-05T19:09:25.7269640Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1989]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7269900Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1990]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7270180Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1991]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7270430Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1992]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7270700Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1993]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48975896) 2025-06-05T19:09:25.7270940Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1994]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7271260Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1995]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7271520Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1996]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7271780Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1997]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48976152) 2025-06-05T19:09:25.7272030Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1998]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7272290Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [1999]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48976408) 2025-06-05T19:09:25.7272590Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2000]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7272850Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2001]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7273150Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2002]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48976664) 2025-06-05T19:09:25.7273400Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2003]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7273650Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2004]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7273900Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2005]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7274150Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2006]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7274410Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2007]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48977688) 2025-06-05T19:09:25.7274660Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2008]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7274910Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2009]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7275170Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2010]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7275430Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2011]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48977944) 2025-06-05T19:09:25.7275680Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2012]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7275980Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2013]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48978200) 2025-06-05T19:09:25.7276240Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2014]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7276480Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2015]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7276740Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2016]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48978456) 2025-06-05T19:09:25.7277050Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2017]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7277310Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2018]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7277560Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2019]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7277820Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2020]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48979480) 2025-06-05T19:09:25.7278070Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2021]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7278380Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2022]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48980504) 2025-06-05T19:09:25.7278640Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2023]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7278950Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2024]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7279200Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2025]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7279440Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2026]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7279700Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2027]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48981528) 2025-06-05T19:09:25.7279960Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2028]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7280230Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2029]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48981784) 2025-06-05T19:09:25.7280490Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2030]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7280770Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2031]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48982040) 2025-06-05T19:09:25.7281010Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2032]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7281270Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2033]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7281550Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2034]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7281810Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2035]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7282070Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2036]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48982296) 2025-06-05T19:09:25.7282320Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2037]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7282580Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2038]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48982552) 2025-06-05T19:09:25.7282910Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2039]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7283160Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2040]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7283430Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2041]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48982808) 2025-06-05T19:09:25.7283680Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2042]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7283940Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2043]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48983064) 2025-06-05T19:09:25.7284240Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2044]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7284490Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2045]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7284790Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2046]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7285040Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2047]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7285300Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2048]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7285560Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2049]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48983320) 2025-06-05T19:09:25.7285810Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2050]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7286070Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2051]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48983576) 2025-06-05T19:09:25.7286320Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2052]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7286570Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2053]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7286820Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2054]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7287080Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2055]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7287370Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2056]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7287630Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2057]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7287880Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2058]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7288140Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2059]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7288390Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2060]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7288700Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2061]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7288960Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2062]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7289210Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2063]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7289460Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2064]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7289710Z [INFO 2025-06-05 19:09:25,604 mps_preprocess.py:291] [2065]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7290030Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2066]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7290290Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2067]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48983832) 2025-06-05T19:09:25.7290600Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2068]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7290850Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2069]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7291100Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2070]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7291350Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2071]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7291600Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2072]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7291850Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2073]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7292110Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2074]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7292360Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2075]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7292610Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2076]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7292860Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2077]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7293150Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2078]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48983834) 2025-06-05T19:09:25.7293410Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2079]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7293660Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2080]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7293910Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2081]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7294170Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2082]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48984090) 2025-06-05T19:09:25.7294480Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2083]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7294740Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2084]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48984346) 2025-06-05T19:09:25.7295000Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2085]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7295240Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2086]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7295510Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2087]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48984602) 2025-06-05T19:09:25.7295810Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2088]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7296060Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2089]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7296360Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2090]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7296610Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2091]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7296870Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2092]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48985626) 2025-06-05T19:09:25.7297120Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2093]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7297380Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2094]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7297630Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2095]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7297890Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2096]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48985882) 2025-06-05T19:09:25.7298140Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2097]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7298400Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2098]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48986138) 2025-06-05T19:09:25.7298660Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2099]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7298940Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2100]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7299200Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2101]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48986394) 2025-06-05T19:09:25.7299460Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2102]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7299710Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2103]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7299960Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2104]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7300260Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2105]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7300520Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2106]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48987418) 2025-06-05T19:09:25.7300770Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2107]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7301020Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2108]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7301270Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2109]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7301580Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2110]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48987674) 2025-06-05T19:09:25.7301890Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2111]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7302150Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2112]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48987930) 2025-06-05T19:09:25.7302400Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2113]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7302650Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2114]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7302910Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2115]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48988186) 2025-06-05T19:09:25.7303160Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2116]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7303410Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2117]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7303660Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2118]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7303910Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2119]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7304170Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2120]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48989210) 2025-06-05T19:09:25.7304410Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2121]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7304700Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2122]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7304950Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2123]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7305210Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2124]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48989466) 2025-06-05T19:09:25.7305470Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2125]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7305730Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2126]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48989722) 2025-06-05T19:09:25.7306060Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2127]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7306310Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2128]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7306570Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2129]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48989978) 2025-06-05T19:09:25.7306820Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2130]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7307110Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2131]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7307370Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2132]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7307680Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2133]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7307950Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2134]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48991002) 2025-06-05T19:09:25.7308200Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2135]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7308440Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2136]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7308700Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2137]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7308960Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2138]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48991258) 2025-06-05T19:09:25.7309210Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2139]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7309480Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2140]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48991514) 2025-06-05T19:09:25.7309730Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2141]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7309980Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2142]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7310250Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2143]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48991770) 2025-06-05T19:09:25.7310540Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2144]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7310800Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2145]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7311050Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2146]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7311320Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2147]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48992794) 2025-06-05T19:09:25.7311660Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2148]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7311930Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2149]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48993818) 2025-06-05T19:09:25.7312180Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2150]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7312430Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2151]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7312680Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2152]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7313000Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2153]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7313270Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2154]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48994842) 2025-06-05T19:09:25.7313580Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2155]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7313840Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2156]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48995098) 2025-06-05T19:09:25.7314080Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2157]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7314340Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2158]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48995354) 2025-06-05T19:09:25.7314590Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2159]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7314840Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2160]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7315090Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2161]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7315340Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2162]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7315600Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2163]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48995610) 2025-06-05T19:09:25.7315850Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2164]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7316110Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2165]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48995866) 2025-06-05T19:09:25.7316390Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2166]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7316640Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2167]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7316910Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2168]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48996122) 2025-06-05T19:09:25.7317160Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2169]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7317490Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2170]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48996378) 2025-06-05T19:09:25.7317740Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2171]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7318000Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2172]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7318240Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2173]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7318490Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2174]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7318790Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2175]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7319060Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2176]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48996634) 2025-06-05T19:09:25.7319350Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2177]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7319610Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2178]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48996890) 2025-06-05T19:09:25.7319860Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2179]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7320110Z [INFO 2025-06-05 19:09:25,605 mps_preprocess.py:291] [2180]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7320360Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2181]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7320610Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2182]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7320870Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2183]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7321120Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2184]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7321370Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2185]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7321620Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2186]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7321870Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2187]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7322160Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2188]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7322420Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2189]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7322660Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2190]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7322920Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2191]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7323230Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2192]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7323480Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2193]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7323740Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2194]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=48997146) 2025-06-05T19:09:25.7323990Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2195]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7324240Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2196]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7324540Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2197]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7324790Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2198]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7325100Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2199]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7325350Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2200]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7325600Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2201]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7325850Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2202]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7326110Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2203]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7326360Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2204]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7326630Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2205]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48997148) 2025-06-05T19:09:25.7326880Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2206]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7327130Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2207]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7327380Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2208]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7327670Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2209]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48997404) 2025-06-05T19:09:25.7327920Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2210]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7328180Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2211]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48997660) 2025-06-05T19:09:25.7328430Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2212]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7328680Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2213]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7329010Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2214]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48997916) 2025-06-05T19:09:25.7329260Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2215]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7329510Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2216]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7329770Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2217]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7330020Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2218]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7330330Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2219]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48998940) 2025-06-05T19:09:25.7330580Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2220]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7330890Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2221]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7331140Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2222]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7331410Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2223]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48999196) 2025-06-05T19:09:25.7331660Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2224]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7331920Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2225]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=48999452) 2025-06-05T19:09:25.7332180Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2226]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7332430Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2227]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7332690Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2228]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=48999708) 2025-06-05T19:09:25.7332940Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2229]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7333200Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2230]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7333490Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2231]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7333740Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2232]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7334000Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2233]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49000732) 2025-06-05T19:09:25.7334250Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2234]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7334500Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2235]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7334800Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2236]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7335070Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2237]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49000988) 2025-06-05T19:09:25.7335320Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2238]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7335580Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2239]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49001244) 2025-06-05T19:09:25.7335830Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2240]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7336140Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2241]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7336410Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2242]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49001500) 2025-06-05T19:09:25.7336700Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2243]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7336950Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2244]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7337200Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2245]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7337450Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2246]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7337710Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2247]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49002524) 2025-06-05T19:09:25.7337960Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2248]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7338210Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2249]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7338460Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2250]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7338720Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2251]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49002780) 2025-06-05T19:09:25.7338980Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2252]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7339260Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2253]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49003036) 2025-06-05T19:09:25.7339520Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2254]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7339770Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2255]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7340040Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2256]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49003292) 2025-06-05T19:09:25.7340290Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2257]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7340610Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2258]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7340870Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2259]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7341120Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2260]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7341380Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2261]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49004316) 2025-06-05T19:09:25.7341630Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2262]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7341940Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2263]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7342200Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2264]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7342500Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2265]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49004572) 2025-06-05T19:09:25.7342760Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2266]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7343020Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2267]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49004828) 2025-06-05T19:09:25.7343270Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2268]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7343520Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2269]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7343790Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2270]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49005084) 2025-06-05T19:09:25.7344040Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2271]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7344290Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2272]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7344540Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2273]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7344800Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2274]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49006108) 2025-06-05T19:09:25.7345080Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2275]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7345340Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2276]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49007132) 2025-06-05T19:09:25.7345600Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2277]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7345850Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2278]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7346090Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2279]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7346410Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2280]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7346670Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2281]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49008156) 2025-06-05T19:09:25.7346920Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2282]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7347180Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2283]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49008412) 2025-06-05T19:09:25.7347430Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2284]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7347750Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2285]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49008668) 2025-06-05T19:09:25.7348070Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2286]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7348320Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2287]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7348570Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2288]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7348820Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2289]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7349090Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2290]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49008924) 2025-06-05T19:09:25.7349340Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2291]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7349600Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2292]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49009180) 2025-06-05T19:09:25.7349850Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2293]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7350110Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2294]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7350370Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2295]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49009436) 2025-06-05T19:09:25.7350620Z [INFO 2025-06-05 19:09:25,606 mps_preprocess.py:291] [2296]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7350910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2297]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49009692) 2025-06-05T19:09:25.7351170Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2298]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7351420Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2299]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7351680Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2300]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7351930Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2301]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7352260Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2302]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7352530Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2303]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49009948) 2025-06-05T19:09:25.7352780Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2304]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7353040Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2305]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49010204) 2025-06-05T19:09:25.7353340Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2306]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7353590Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2307]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7353890Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2308]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7354150Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2309]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7354400Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2310]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7354660Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2311]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7354910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2312]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7355160Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2313]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7355420Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2314]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7355670Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2315]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7355920Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2316]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7356170Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2317]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7356420Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2318]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7356710Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2319]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7356960Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2320]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7357210Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2321]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49010460) 2025-06-05T19:09:25.7357470Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2322]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7357770Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2323]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7358020Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2324]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7358270Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2325]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7358520Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2326]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7358770Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2327]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7359080Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2328]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7359340Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2329]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7359640Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2330]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7359890Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2331]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7360160Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2332]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49010462) 2025-06-05T19:09:25.7360410Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2333]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7360660Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2334]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7360920Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2335]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7361180Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2336]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49010718) 2025-06-05T19:09:25.7361430Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2337]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7361690Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2338]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49010974) 2025-06-05T19:09:25.7361950Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2339]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7362200Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2340]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7362500Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2341]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49011230) 2025-06-05T19:09:25.7362750Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2342]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7363000Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2343]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7363250Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2344]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7363560Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2345]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7363840Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2346]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49012254) 2025-06-05T19:09:25.7364100Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2347]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7364350Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2348]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7364600Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2349]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7364910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2350]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49012510) 2025-06-05T19:09:25.7365160Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2351]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7365470Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2352]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49012766) 2025-06-05T19:09:25.7365720Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2353]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7365970Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2354]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7366240Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2355]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49013022) 2025-06-05T19:09:25.7366490Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2356]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7366740Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2357]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7367000Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2358]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7367250Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2359]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7367520Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2360]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49014046) 2025-06-05T19:09:25.7367770Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2361]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7368020Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2362]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7368310Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2363]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7368570Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2364]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49014302) 2025-06-05T19:09:25.7368820Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2365]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7369090Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2366]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49014558) 2025-06-05T19:09:25.7369390Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2367]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7369640Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2368]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7369910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2369]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49014814) 2025-06-05T19:09:25.7370150Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2370]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7370400Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2371]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7370710Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2372]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7370960Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2373]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7371300Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2374]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49015838) 2025-06-05T19:09:25.7371550Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2375]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7371800Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2376]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7372050Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2377]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7372320Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2378]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49016094) 2025-06-05T19:09:25.7372570Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2379]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7372830Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2380]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49016350) 2025-06-05T19:09:25.7373080Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2381]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7373330Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2382]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7373600Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2383]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49016606) 2025-06-05T19:09:25.7373890Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2384]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7374150Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2385]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7374400Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2386]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7374640Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2387]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7374910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2388]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49017630) 2025-06-05T19:09:25.7375230Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2389]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7375490Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2390]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7378840Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2391]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7379110Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2392]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49017886) 2025-06-05T19:09:25.7379360Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2393]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7379690Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2394]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49018142) 2025-06-05T19:09:25.7379950Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2395]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7380250Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2396]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7380520Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2397]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49018398) 2025-06-05T19:09:25.7380780Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2398]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7381030Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2399]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7381290Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2400]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7381560Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2401]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49019422) 2025-06-05T19:09:25.7381820Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2402]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7382090Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2403]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49020446) 2025-06-05T19:09:25.7382340Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2404]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7382590Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2405]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7382910Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2406]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7383160Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2407]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7383430Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2408]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49021470) 2025-06-05T19:09:25.7383680Z [INFO 2025-06-05 19:09:25,607 mps_preprocess.py:291] [2409]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7383940Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2410]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49021726) 2025-06-05T19:09:25.7384250Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2411]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7384510Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2412]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49021982) 2025-06-05T19:09:25.7384760Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2413]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7385010Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2414]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7385260Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2415]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7385560Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2416]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7385840Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2417]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49022238) 2025-06-05T19:09:25.7386140Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2418]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7386400Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2419]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49022494) 2025-06-05T19:09:25.7386650Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2420]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7386900Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2421]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7387170Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2422]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49022750) 2025-06-05T19:09:25.7387420Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2423]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7387680Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2424]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49023006) 2025-06-05T19:09:25.7387930Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2425]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7388190Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2426]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7388440Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2427]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7388720Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2428]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7388980Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2429]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7389240Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2430]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49023262) 2025-06-05T19:09:25.7389490Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2431]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7389750Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2432]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49023518) 2025-06-05T19:09:25.7390100Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2433]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7390350Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2434]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7390600Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2435]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7390840Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2436]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7391090Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2437]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7391430Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2438]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7391680Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2439]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7391980Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2440]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7392230Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2441]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7392480Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2442]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7392730Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2443]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7392980Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2444]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7393250Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2445]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7393510Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2446]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7393760Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2447]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7394020Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2448]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49023774) 2025-06-05T19:09:25.7394280Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2449]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7394570Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2450]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7394840Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2451]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7395100Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2452]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7395360Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2453]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7395620Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2454]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7395920Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2455]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7396180Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2456]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7396430Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2457]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7396680Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2458]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7396950Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2459]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49023776) 2025-06-05T19:09:25.7397280Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2460]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7397590Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2461]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7397840Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2462]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7398100Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2463]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49024032) 2025-06-05T19:09:25.7398350Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2464]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7398610Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2465]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49024288) 2025-06-05T19:09:25.7398860Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2466]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7399110Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2467]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7399370Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2468]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49024544) 2025-06-05T19:09:25.7399620Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2469]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7399880Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2470]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7400130Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2471]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7400420Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2472]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7400680Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2473]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49025568) 2025-06-05T19:09:25.7400930Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2474]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7401180Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2475]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7401440Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2476]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7401780Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2477]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49025824) 2025-06-05T19:09:25.7402040Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2478]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7402310Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2479]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49026080) 2025-06-05T19:09:25.7402560Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2480]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7402860Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2481]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7403130Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2482]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49026336) 2025-06-05T19:09:25.7403440Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2483]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7403690Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2484]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7403940Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2485]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7404200Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2486]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7404460Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2487]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49027360) 2025-06-05T19:09:25.7404720Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2488]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7404970Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2489]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7405220Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2490]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7405480Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2491]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49027616) 2025-06-05T19:09:25.7405730Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2492]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7406000Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2493]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49027872) 2025-06-05T19:09:25.7406300Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2494]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7406560Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2495]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7406820Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2496]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49028128) 2025-06-05T19:09:25.7407070Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2497]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7407380Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2498]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7407630Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2499]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7407880Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2500]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7408150Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2501]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49029152) 2025-06-05T19:09:25.7408400Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2502]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7408720Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2503]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7408970Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2504]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7409290Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2505]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49029408) 2025-06-05T19:09:25.7409540Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2506]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7409800Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2507]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49029664) 2025-06-05T19:09:25.7410050Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2508]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7410300Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2509]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7410570Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2510]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49029920) 2025-06-05T19:09:25.7410820Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2511]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7411070Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2512]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7411320Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2513]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7411570Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2514]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7411840Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2515]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49030944) 2025-06-05T19:09:25.7412110Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2516]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7412370Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2517]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7412620Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2518]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7412880Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2519]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49031200) 2025-06-05T19:09:25.7413190Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2520]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7413450Z [INFO 2025-06-05 19:09:25,608 mps_preprocess.py:291] [2521]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49031456) 2025-06-05T19:09:25.7413710Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2522]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7413960Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2523]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7414230Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2524]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49031712) 2025-06-05T19:09:25.7414530Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2525]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7414780Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2526]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7415090Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2527]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7415350Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2528]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49032736) 2025-06-05T19:09:25.7415600Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2529]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7415860Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2530]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49033760) 2025-06-05T19:09:25.7416120Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2531]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7416370Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2532]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7416620Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2533]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7416860Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2534]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7417130Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2535]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49034784) 2025-06-05T19:09:25.7417380Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2536]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7417640Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2537]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49035040) 2025-06-05T19:09:25.7417920Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2538]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7418180Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2539]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49035296) 2025-06-05T19:09:25.7418420Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2540]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7418680Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2541]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7418970Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2542]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7419220Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2543]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7419490Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2544]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49035552) 2025-06-05T19:09:25.7419740Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2545]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7420000Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2546]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49035808) 2025-06-05T19:09:25.7420300Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2547]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7420560Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2548]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7420880Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2549]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49036064) 2025-06-05T19:09:25.7421140Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2550]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7421400Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2551]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49036320) 2025-06-05T19:09:25.7421650Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2552]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7421910Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2553]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7422170Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2554]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7422420Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2555]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7422680Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2556]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7422940Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2557]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49036576) 2025-06-05T19:09:25.7423190Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2558]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7423480Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2559]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49036832) 2025-06-05T19:09:25.7423740Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2560]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7423990Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2561]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7424240Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2562]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7424500Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2563]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7424830Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2564]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7425090Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2565]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7425340Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2566]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7425600Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2567]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7425850Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2568]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7426150Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2569]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7426410Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2570]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7426710Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2571]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7426960Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2572]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7427210Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2573]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7427460Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2574]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7427720Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2575]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49037088) 2025-06-05T19:09:25.7427980Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2576]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7428230Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2577]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7428480Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2578]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7428730Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2579]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7428990Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2580]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7429280Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2581]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7429540Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2582]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7429790Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2583]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7430050Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2584]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7430300Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2585]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7430620Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2586]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49037090) 2025-06-05T19:09:25.7430880Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2587]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7431130Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2588]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7431390Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2589]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7431660Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2590]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49037346) 2025-06-05T19:09:25.7431970Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2591]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7432240Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2592]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49037602) 2025-06-05T19:09:25.7432540Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2593]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7432800Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2594]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7433070Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2595]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49037858) 2025-06-05T19:09:25.7433320Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2596]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7433580Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2597]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7433830Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2598]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7434080Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2599]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7434350Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2600]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49038882) 2025-06-05T19:09:25.7434600Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2601]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7434860Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2602]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7435140Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2603]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7435420Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2604]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49039138) 2025-06-05T19:09:25.7435670Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2605]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7435930Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2606]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49039394) 2025-06-05T19:09:25.7436190Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2607]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7436500Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2608]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7436760Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2609]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49039650) 2025-06-05T19:09:25.7437010Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2610]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7437260Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2611]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7437510Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2612]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7437810Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2613]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7438070Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2614]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49040674) 2025-06-05T19:09:25.7438370Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2615]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7438610Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2616]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7438860Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2617]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7439130Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2618]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49040930) 2025-06-05T19:09:25.7439380Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2619]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7439640Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2620]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49041186) 2025-06-05T19:09:25.7439890Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2621]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7440140Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2622]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7440400Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2623]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49041442) 2025-06-05T19:09:25.7440650Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2624]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7440930Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2625]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7441180Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2626]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7441430Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2627]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7441690Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2628]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49042466) 2025-06-05T19:09:25.7441940Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2629]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7442260Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2630]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7442510Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2631]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7442780Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2632]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49042722) 2025-06-05T19:09:25.7443030Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2633]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7443290Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2634]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49042978) 2025-06-05T19:09:25.7443600Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2635]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7443910Z [INFO 2025-06-05 19:09:25,609 mps_preprocess.py:291] [2636]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7444170Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2637]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49043234) 2025-06-05T19:09:25.7444430Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2638]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7444680Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2639]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7444930Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2640]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7445180Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2641]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7445450Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2642]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49044258) 2025-06-05T19:09:25.7445700Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2643]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7445960Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2644]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7446210Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2645]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7446470Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2646]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49044514) 2025-06-05T19:09:25.7446770Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2647]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7447050Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2648]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49044770) 2025-06-05T19:09:25.7447310Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2649]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7447560Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2650]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7447830Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2651]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49045026) 2025-06-05T19:09:25.7448160Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2652]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7448420Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2653]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7448670Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2654]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7448930Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2655]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49046050) 2025-06-05T19:09:25.7449180Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2656]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7449490Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2657]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49047074) 2025-06-05T19:09:25.7449800Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2658]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7450040Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2659]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7450290Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2660]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7450530Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2661]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7450790Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2662]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49048098) 2025-06-05T19:09:25.7451040Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2663]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7451300Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2664]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49048354) 2025-06-05T19:09:25.7451540Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2665]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7451800Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2666]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49048610) 2025-06-05T19:09:25.7452050Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2667]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7452300Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2668]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7452580Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2669]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7452840Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2670]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7453100Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2671]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49048866) 2025-06-05T19:09:25.7453340Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2672]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7453660Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2673]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49049122) 2025-06-05T19:09:25.7453910Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2674]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7454160Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2675]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7454420Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2676]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49049378) 2025-06-05T19:09:25.7454670Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2677]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7454980Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2678]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49049634) 2025-06-05T19:09:25.7455240Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2679]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7455540Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2680]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7455790Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2681]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7456040Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2682]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7456290Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2683]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7456550Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2684]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49049890) 2025-06-05T19:09:25.7456800Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2685]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7457060Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2686]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49050146) 2025-06-05T19:09:25.7457310Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2687]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7457560Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2688]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7457810Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2689]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7458060Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2690]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7458340Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2691]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7458600Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2692]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7458850Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2693]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7459110Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2694]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7459420Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2695]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7459680Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2696]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7459930Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2697]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7460180Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2698]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7460430Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2699]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7460730Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2700]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7460990Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2701]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7461290Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2702]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49050402) 2025-06-05T19:09:25.7461540Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2703]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7461800Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2704]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7462050Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2705]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7462300Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2706]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7462560Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2707]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7462810Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2708]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7463060Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2709]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7463320Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2710]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7463570Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2711]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7463820Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2712]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7464110Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2713]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49050404) 2025-06-05T19:09:25.7464360Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2714]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7464610Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2715]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7464860Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2716]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7465170Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2717]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49050660) 2025-06-05T19:09:25.7465420Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2718]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7465680Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2719]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49050916) 2025-06-05T19:09:25.7465930Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2720]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7466180Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2721]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7466510Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2722]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49051172) 2025-06-05T19:09:25.7466760Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2723]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7467070Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2724]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7467320Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2725]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7467570Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2726]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7467830Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2727]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49052196) 2025-06-05T19:09:25.7468080Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2728]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7468330Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2729]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7468580Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2730]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7468840Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2731]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49052452) 2025-06-05T19:09:25.7469090Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2732]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7469350Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2733]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49052708) 2025-06-05T19:09:25.7469630Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2734]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7469890Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2735]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7470150Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2736]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49052964) 2025-06-05T19:09:25.7470400Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2737]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7470650Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2738]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7470970Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2739]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7471230Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2740]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7471490Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2741]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49053988) 2025-06-05T19:09:25.7471740Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2742]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7471990Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2743]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7472310Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2744]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7472580Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2745]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49054244) 2025-06-05T19:09:25.7472890Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2746]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7473160Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2747]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49054500) 2025-06-05T19:09:25.7473410Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2748]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7473660Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2749]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7473920Z [INFO 2025-06-05 19:09:25,610 mps_preprocess.py:291] [2750]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49054756) 2025-06-05T19:09:25.7474170Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2751]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7474420Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2752]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7474670Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2753]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7474920Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2754]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7475180Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2755]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49055780) 2025-06-05T19:09:25.7475480Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2756]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7475730Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2757]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7475990Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2758]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7476250Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2759]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49056036) 2025-06-05T19:09:25.7476510Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2760]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7476820Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2761]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49056292) 2025-06-05T19:09:25.7477080Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2762]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7477330Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2763]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7477590Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2764]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49056548) 2025-06-05T19:09:25.7477840Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2765]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7478170Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2766]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7478430Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2767]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7478730Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2768]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7478990Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2769]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49057572) 2025-06-05T19:09:25.7479240Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2770]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7479490Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2771]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7479740Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2772]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7480010Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2773]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49057828) 2025-06-05T19:09:25.7480260Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2774]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7480520Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2775]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49058084) 2025-06-05T19:09:25.7480770Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2776]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7481020Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2777]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7481310Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2778]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49058340) 2025-06-05T19:09:25.7481560Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2779]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7481810Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2780]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7482070Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2781]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7482340Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2782]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49059364) 2025-06-05T19:09:25.7482650Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2783]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7482910Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2784]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49060388) 2025-06-05T19:09:25.7483170Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2785]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7483420Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2786]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7483680Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2787]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7483990Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2788]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7484260Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2789]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49061412) 2025-06-05T19:09:25.7484550Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2790]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7484820Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2791]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49061668) 2025-06-05T19:09:25.7485060Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2792]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7485330Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2793]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49061924) 2025-06-05T19:09:25.7485570Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2794]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7485830Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2795]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7486080Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2796]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7486330Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2797]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7486600Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2798]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49062180) 2025-06-05T19:09:25.7486850Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2799]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7487140Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2800]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49062436) 2025-06-05T19:09:25.7487390Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2801]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7487650Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2802]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7487910Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2803]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49062692) 2025-06-05T19:09:25.7488160Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2804]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7488470Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2805]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49062948) 2025-06-05T19:09:25.7488730Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2806]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7488980Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2807]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7489230Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2808]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7489470Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2809]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7489780Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2810]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7490040Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2811]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49063204) 2025-06-05T19:09:25.7490350Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2812]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7490610Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2813]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49063460) 2025-06-05T19:09:25.7490860Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2814]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7491110Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2815]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7491370Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2816]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7491620Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2817]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7491870Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2818]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7492130Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2819]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7492380Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2820]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7492630Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2821]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7492910Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2822]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7493160Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2823]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7493410Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2824]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7493670Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2825]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7493920Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2826]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7494230Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2827]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7494490Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2828]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7494740Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2829]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49063716) 2025-06-05T19:09:25.7494990Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2830]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7495240Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2831]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7495540Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2832]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7495840Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2833]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7496090Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2834]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7496340Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2835]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7496600Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2836]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7496850Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2837]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7497100Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2838]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7497350Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2839]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7497620Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2840]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49063718) 2025-06-05T19:09:25.7497870Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2841]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7498120Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2842]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7498380Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2843]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7498670Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2844]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49063974) 2025-06-05T19:09:25.7498930Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2845]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7499190Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2846]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49064230) 2025-06-05T19:09:25.7499440Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2847]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7499750Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2848]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7500010Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2849]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49064486) 2025-06-05T19:09:25.7500260Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2850]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7500520Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2851]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7500770Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2852]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7501080Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2853]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7501350Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2854]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49065510) 2025-06-05T19:09:25.7501620Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2855]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7501870Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2856]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7502130Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2857]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7502390Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2858]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49065766) 2025-06-05T19:09:25.7502650Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2859]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7502920Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2860]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49066022) 2025-06-05T19:09:25.7503170Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2861]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7503420Z [INFO 2025-06-05 19:09:25,611 mps_preprocess.py:291] [2862]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7503690Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2863]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49066278) 2025-06-05T19:09:25.7503940Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2864]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7504200Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2865]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7504480Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2866]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7504730Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2867]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7504990Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2868]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49067302) 2025-06-05T19:09:25.7505240Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2869]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7505530Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2870]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7505790Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2871]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7506060Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2872]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49067558) 2025-06-05T19:09:25.7506310Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2873]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7506580Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2874]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49067814) 2025-06-05T19:09:25.7506880Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2875]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7507140Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2876]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7507420Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2877]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49068070) 2025-06-05T19:09:25.7507670Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2878]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7507930Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2879]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7508190Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2880]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7508440Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2881]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7508700Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2882]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49069094) 2025-06-05T19:09:25.7508960Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2883]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7509210Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2884]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7509460Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2885]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7509730Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2886]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49069350) 2025-06-05T19:09:25.7509980Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2887]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7510280Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2888]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49069606) 2025-06-05T19:09:25.7510540Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2889]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7510790Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2890]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7511050Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2891]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49069862) 2025-06-05T19:09:25.7511340Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2892]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7511590Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2893]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7511850Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2894]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7512090Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2895]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7512350Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2896]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49070886) 2025-06-05T19:09:25.7512650Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2897]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7512910Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2898]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7513190Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2899]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7513450Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2900]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49071142) 2025-06-05T19:09:25.7513700Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2901]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7513970Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2902]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49071398) 2025-06-05T19:09:25.7514220Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2903]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7514470Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2904]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7514740Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2905]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49071654) 2025-06-05T19:09:25.7514990Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2906]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7515240Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2907]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7515490Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2908]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7515760Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2909]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49072678) 2025-06-05T19:09:25.7516030Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2910]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7516290Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2911]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49073702) 2025-06-05T19:09:25.7516540Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2912]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7516790Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2913]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7517110Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2914]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7517370Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2915]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7517630Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2916]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49074726) 2025-06-05T19:09:25.7517880Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2917]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7518140Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2918]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49074982) 2025-06-05T19:09:25.7518440Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2919]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7518700Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2920]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49075238) 2025-06-05T19:09:25.7518980Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2921]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7519240Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2922]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7519490Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2923]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7519740Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2924]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7520010Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2925]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49075494) 2025-06-05T19:09:25.7520270Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2926]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7520530Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2927]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49075750) 2025-06-05T19:09:25.7520800Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2928]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7521050Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2929]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7521310Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2930]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49076006) 2025-06-05T19:09:25.7521600Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2931]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7521870Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2932]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49076262) 2025-06-05T19:09:25.7522130Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2933]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7522390Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2934]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7522640Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2935]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7522940Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2936]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7523200Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2937]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7523470Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2938]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49076518) 2025-06-05T19:09:25.7523720Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2939]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7523980Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2940]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49076774) 2025-06-05T19:09:25.7524290Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2941]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7524550Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2942]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7524840Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2943]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7525090Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2944]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7525350Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2945]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7525600Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2946]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7525860Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2947]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7526120Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2948]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7526370Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2949]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7526630Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2950]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7526880Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2951]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7527140Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2952]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7527410Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2953]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7527670Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2954]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7527910Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2955]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7528170Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2956]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49077030) 2025-06-05T19:09:25.7531600Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2957]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7531940Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2958]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7532190Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2959]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7532450Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2960]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7532690Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2961]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7532950Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2962]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7533250Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2963]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7533510Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2964]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7533780Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2965]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7534030Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2966]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7534300Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2967]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49077032) 2025-06-05T19:09:25.7534550Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2968]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7534810Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2969]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7535070Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2970]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7535330Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2971]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49077288) 2025-06-05T19:09:25.7535580Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2972]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7535840Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2973]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49077544) 2025-06-05T19:09:25.7536100Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2974]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7536370Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2975]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7536640Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2976]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49077800) 2025-06-05T19:09:25.7536890Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2977]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7537140Z [INFO 2025-06-05 19:09:25,612 mps_preprocess.py:291] [2978]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7537390Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2979]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7537690Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2980]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7537960Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2981]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49078824) 2025-06-05T19:09:25.7538200Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2982]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7538450Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2983]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7538710Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2984]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7539020Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2985]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49079080) 2025-06-05T19:09:25.7539280Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2986]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7539580Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2987]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49079336) 2025-06-05T19:09:25.7539830Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2988]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7540080Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2989]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7540340Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2990]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49079592) 2025-06-05T19:09:25.7540590Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2991]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7540840Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2992]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7541090Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2993]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7541340Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2994]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7541600Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2995]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49080616) 2025-06-05T19:09:25.7541850Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2996]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7542120Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2997]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7542380Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2998]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7542640Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [2999]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49080872) 2025-06-05T19:09:25.7542890Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3000]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7543150Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3001]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49081128) 2025-06-05T19:09:25.7543470Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3002]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7543730Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3003]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7543990Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3004]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49081384) 2025-06-05T19:09:25.7544240Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3005]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7544490Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3006]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7544780Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3007]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7545070Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3008]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7545330Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3009]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49082408) 2025-06-05T19:09:25.7545570Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3010]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7545830Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3011]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7546080Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3012]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7546340Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3013]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49082664) 2025-06-05T19:09:25.7546590Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3014]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7546850Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3015]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49082920) 2025-06-05T19:09:25.7547100Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3016]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7547350Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3017]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7547620Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3018]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49083176) 2025-06-05T19:09:25.7547900Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3019]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7548160Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3020]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7548410Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3021]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7548650Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3022]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7548910Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3023]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49084200) 2025-06-05T19:09:25.7549260Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3024]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7549520Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3025]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7549770Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3026]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7550030Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3027]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49084456) 2025-06-05T19:09:25.7550360Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3028]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7550620Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3029]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49084712) 2025-06-05T19:09:25.7550890Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3030]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7551150Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3031]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7551410Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3032]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49084968) 2025-06-05T19:09:25.7551660Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3033]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7551920Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3034]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7552170Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3035]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7552440Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3036]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49085992) 2025-06-05T19:09:25.7552690Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3037]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7552950Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3038]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49087016) 2025-06-05T19:09:25.7553210Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3039]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7553460Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3040]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7553730Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3041]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7553990Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3042]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7554250Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3043]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49088040) 2025-06-05T19:09:25.7554500Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3044]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7554820Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3045]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49088296) 2025-06-05T19:09:25.7555070Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3046]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7555340Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3047]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49088552) 2025-06-05T19:09:25.7555590Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3048]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7555840Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3049]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7556130Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3050]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7556390Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3051]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7556670Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3052]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49088808) 2025-06-05T19:09:25.7556920Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3053]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7557180Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3054]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49089064) 2025-06-05T19:09:25.7557430Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3055]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7557680Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3056]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7557940Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3057]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49089320) 2025-06-05T19:09:25.7558190Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3058]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7558450Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3059]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49089576) 2025-06-05T19:09:25.7558700Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3060]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7558960Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3061]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7559210Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3062]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7559490Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3063]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7559750Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3064]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7560010Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3065]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49089832) 2025-06-05T19:09:25.7560250Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3066]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7560570Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3067]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49090088) 2025-06-05T19:09:25.7560810Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3068]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7561060Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3069]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7561310Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3070]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7561560Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3071]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7561880Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3072]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7562140Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3073]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7562430Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3074]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7562670Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3075]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7562920Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3076]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7563170Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3077]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7563430Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3078]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7563680Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3079]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7563920Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3080]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7564170Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3081]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7564420Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3082]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7564670Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3083]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49090344) 2025-06-05T19:09:25.7564960Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3084]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7565220Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3085]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7565470Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3086]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7565710Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3087]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7565960Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3088]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7566290Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3089]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7566540Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3090]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7566790Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3091]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7567040Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3092]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7567290Z [INFO 2025-06-05 19:09:25,613 mps_preprocess.py:291] [3093]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7567600Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3094]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49090346) 2025-06-05T19:09:25.7567860Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3095]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7568130Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3096]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7568390Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3097]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7568650Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3098]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49090602) 2025-06-05T19:09:25.7568900Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3099]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7569170Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3100]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49090858) 2025-06-05T19:09:25.7569420Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3101]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7569670Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3102]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7569980Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3103]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49091114) 2025-06-05T19:09:25.7570220Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3104]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7570470Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3105]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7570770Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3106]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7571020Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3107]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7571300Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3108]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49092138) 2025-06-05T19:09:25.7571550Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3109]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7571800Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3110]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7572110Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3111]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7572380Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3112]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49092394) 2025-06-05T19:09:25.7572630Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3113]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7572890Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3114]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49092650) 2025-06-05T19:09:25.7573140Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3115]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7573490Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3116]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7573750Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3117]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49092906) 2025-06-05T19:09:25.7574020Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3118]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7574280Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3119]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7574530Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3120]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7574770Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3121]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7575040Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3122]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49093930) 2025-06-05T19:09:25.7575290Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3123]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7575540Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3124]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7575790Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3125]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7576060Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3126]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49094186) 2025-06-05T19:09:25.7576310Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3127]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7576600Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3128]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49094442) 2025-06-05T19:09:25.7576860Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3129]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7577100Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3130]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7577370Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3131]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49094698) 2025-06-05T19:09:25.7577610Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3132]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7577910Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3133]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7578170Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3134]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7578410Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3135]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7578670Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3136]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49095722) 2025-06-05T19:09:25.7578920Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3137]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7579220Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3138]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7579470Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3139]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7579760Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3140]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49095978) 2025-06-05T19:09:25.7580010Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3141]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7580280Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3142]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49096234) 2025-06-05T19:09:25.7580530Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3143]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7580780Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3144]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7581050Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3145]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49096490) 2025-06-05T19:09:25.7581300Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3146]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7581540Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3147]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7581790Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3148]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7582040Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3149]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7582350Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3150]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49097514) 2025-06-05T19:09:25.7582600Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3151]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7582860Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3152]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7583110Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3153]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7583370Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3154]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49097770) 2025-06-05T19:09:25.7583680Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3155]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7583940Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3156]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49098026) 2025-06-05T19:09:25.7584200Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3157]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7584440Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3158]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7584700Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3159]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49098282) 2025-06-05T19:09:25.7585000Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3160]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7585250Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3161]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7585540Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3162]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7585810Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3163]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49099306) 2025-06-05T19:09:25.7586060Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3164]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7586320Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3165]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49100330) 2025-06-05T19:09:25.7586570Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3166]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7586820Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3167]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7587070Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3168]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7587310Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3169]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7587580Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3170]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49101354) 2025-06-05T19:09:25.7587830Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3171]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7588120Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3172]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49101610) 2025-06-05T19:09:25.7588370Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3173]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7588630Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3174]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49101866) 2025-06-05T19:09:25.7588880Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3175]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7589130Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3176]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7589460Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3177]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7589710Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3178]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7589970Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3179]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49102122) 2025-06-05T19:09:25.7590220Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3180]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7590490Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3181]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49102378) 2025-06-05T19:09:25.7590810Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3182]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7591100Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3183]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7591360Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3184]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49102634) 2025-06-05T19:09:25.7591610Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3185]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7591870Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3186]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49102890) 2025-06-05T19:09:25.7592120Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3187]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7592370Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3188]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7592620Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3189]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7592870Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3190]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7593120Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3191]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7593390Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3192]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49103146) 2025-06-05T19:09:25.7593630Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3193]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7593950Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3194]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49103402) 2025-06-05T19:09:25.7594200Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3195]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7594450Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3196]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7594700Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3197]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7594960Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3198]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7595270Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3199]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7595520Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3200]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7595770Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3201]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7596020Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3202]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7596330Z [INFO 2025-06-05 19:09:25,614 mps_preprocess.py:291] [3203]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7596590Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3204]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7596860Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3205]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7597110Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3206]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7597360Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3207]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7597610Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3208]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7597860Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3209]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7598110Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3210]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49103658) 2025-06-05T19:09:25.7598360Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3211]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7598610Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3212]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7598860Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3213]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7599110Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3214]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7599360Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3215]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7599660Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3216]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7599910Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3217]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7600170Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3218]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7600420Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3219]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7600730Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3220]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7600990Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3221]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49103660) 2025-06-05T19:09:25.7601240Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3222]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7601490Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3223]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7601740Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3224]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7602050Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3225]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49103916) 2025-06-05T19:09:25.7602310Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3226]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7602590Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3227]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49104172) 2025-06-05T19:09:25.7602840Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3228]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7603090Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3229]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7603350Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3230]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49104428) 2025-06-05T19:09:25.7603600Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3231]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7603850Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3232]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7604100Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3233]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7604350Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3234]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7604610Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3235]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49105452) 2025-06-05T19:09:25.7604860Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3236]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7605110Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3237]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7605380Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3238]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7605650Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3239]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49105708) 2025-06-05T19:09:25.7605900Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3240]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7606160Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3241]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49105964) 2025-06-05T19:09:25.7606460Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3242]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7606710Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3243]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7606980Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3244]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49106220) 2025-06-05T19:09:25.7607220Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3245]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7607470Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3246]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7607790Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3247]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7608040Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3248]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7608350Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3249]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49107244) 2025-06-05T19:09:25.7608590Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3250]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7608850Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3251]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7609100Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3252]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7609360Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3253]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49107500) 2025-06-05T19:09:25.7609610Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3254]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7609880Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3255]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49107756) 2025-06-05T19:09:25.7610130Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3256]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7610380Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3257]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7610640Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3258]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49108012) 2025-06-05T19:09:25.7610890Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3259]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7611190Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3260]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7611440Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3261]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7611690Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3262]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7611950Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3263]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49109036) 2025-06-05T19:09:25.7612270Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3264]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7612530Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3265]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7612780Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3266]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7613040Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3267]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49109292) 2025-06-05T19:09:25.7613290Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3268]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7613620Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3269]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49109548) 2025-06-05T19:09:25.7613880Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3270]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7614160Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3271]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7614430Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3272]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49109804) 2025-06-05T19:09:25.7614670Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3273]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7614930Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3274]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7615180Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3275]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7615430Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3276]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7615690Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3277]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49110828) 2025-06-05T19:09:25.7615940Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3278]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7616190Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3279]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7616450Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3280]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7616740Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3281]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49111084) 2025-06-05T19:09:25.7617000Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3282]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7617260Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3283]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49111340) 2025-06-05T19:09:25.7617510Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3284]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7617760Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3285]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7618080Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3286]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49111596) 2025-06-05T19:09:25.7618340Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3287]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7618590Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3288]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7618850Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3289]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7619110Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3290]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49112620) 2025-06-05T19:09:25.7619460Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3291]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7619720Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3292]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49113644) 2025-06-05T19:09:25.7620000Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3293]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7620250Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3294]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7620500Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3295]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7620750Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3296]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7621010Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3297]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49114668) 2025-06-05T19:09:25.7621260Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3298]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7621520Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3299]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49114924) 2025-06-05T19:09:25.7621770Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3300]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7622030Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3301]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49115180) 2025-06-05T19:09:25.7622280Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3302]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7622550Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3303]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7622810Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3304]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7623060Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3305]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7623320Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3306]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49115436) 2025-06-05T19:09:25.7623580Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3307]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7623900Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3308]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49115692) 2025-06-05T19:09:25.7624150Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3309]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7624400Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3310]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7624660Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3311]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49115948) 2025-06-05T19:09:25.7624920Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3312]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7625230Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3313]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49116204) 2025-06-05T19:09:25.7625490Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3314]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7625770Z [INFO 2025-06-05 19:09:25,615 mps_preprocess.py:291] [3315]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7626020Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3316]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7626270Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3317]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7626520Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3318]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7626780Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3319]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49116460) 2025-06-05T19:09:25.7627030Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3320]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7627300Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3321]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49116716) 2025-06-05T19:09:25.7627540Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3322]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7627790Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3323]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7628050Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3324]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7628340Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3325]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7628600Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3326]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7628860Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3327]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7629120Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3328]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7629370Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3329]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7629680Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3330]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7629930Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3331]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7630180Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3332]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7630430Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3333]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7630690Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3334]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7630980Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3335]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7631240Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3336]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7631530Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3337]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49116972) 2025-06-05T19:09:25.7631780Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3338]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7632030Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3339]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7632280Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3340]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7632530Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3341]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7632780Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3342]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7633030Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3343]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7633280Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3344]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7633530Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3345]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7633780Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3346]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7634060Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3347]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7634320Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3348]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49116974) 2025-06-05T19:09:25.7634570Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3349]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7634820Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3350]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7635070Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3351]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7635440Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3352]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49117230) 2025-06-05T19:09:25.7635690Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3353]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7635950Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3354]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49117486) 2025-06-05T19:09:25.7636200Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3355]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7636450Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3356]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7636770Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3357]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49117742) 2025-06-05T19:09:25.7637040Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3358]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7637300Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3359]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7637550Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3360]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7637800Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3361]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7638060Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3362]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49118766) 2025-06-05T19:09:25.7638310Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3363]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7638560Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3364]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7638810Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3365]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7639070Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3366]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49119022) 2025-06-05T19:09:25.7639320Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3367]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7639580Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3368]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49119278) 2025-06-05T19:09:25.7639870Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3369]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7640120Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3370]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7640380Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3371]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49119534) 2025-06-05T19:09:25.7640630Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3372]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7640880Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3373]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7641200Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3374]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7641450Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3375]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7641710Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3376]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49120558) 2025-06-05T19:09:25.7641960Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3377]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7642280Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3378]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7642530Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3379]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7642820Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3380]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49120814) 2025-06-05T19:09:25.7643080Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3381]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7643340Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3382]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49121070) 2025-06-05T19:09:25.7643590Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3383]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7643840Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3384]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7644100Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3385]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49121326) 2025-06-05T19:09:25.7644350Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3386]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7644600Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3387]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7644840Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3388]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7645090Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3389]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7645350Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3390]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49122350) 2025-06-05T19:09:25.7645640Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3391]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7645890Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3392]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7646140Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3393]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7646400Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3394]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49122606) 2025-06-05T19:09:25.7646710Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3395]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7646970Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3396]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49122862) 2025-06-05T19:09:25.7647230Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3397]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7647470Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3398]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7647730Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3399]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49123118) 2025-06-05T19:09:25.7648030Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3400]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7648290Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3401]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7648560Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3402]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7648810Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3403]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7649070Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3404]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49124142) 2025-06-05T19:09:25.7649310Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3405]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7649560Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3406]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7649810Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3407]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7650070Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3408]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49124398) 2025-06-05T19:09:25.7650320Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3409]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7650580Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3410]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49124654) 2025-06-05T19:09:25.7650830Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3411]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7651080Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3412]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7651380Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3413]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49124910) 2025-06-05T19:09:25.7651630Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3414]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7651880Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3415]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7652130Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3416]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7652440Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3417]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49125934) 2025-06-05T19:09:25.7652690Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3418]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7652950Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3419]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49126958) 2025-06-05T19:09:25.7653200Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3420]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7653450Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3421]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7653780Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3422]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7654040Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3423]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7654340Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3424]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49127982) 2025-06-05T19:09:25.7654590Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3425]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7654850Z [INFO 2025-06-05 19:09:25,616 mps_preprocess.py:291] [3426]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49128238) 2025-06-05T19:09:25.7655100Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3427]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7655360Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3428]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49128494) 2025-06-05T19:09:25.7655600Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3429]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7655860Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3430]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7656110Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3431]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7656360Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3432]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7656630Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3433]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49128750) 2025-06-05T19:09:25.7656880Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3434]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7657160Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3435]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49129006) 2025-06-05T19:09:25.7657410Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3436]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7657670Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3437]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7657930Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3438]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49129262) 2025-06-05T19:09:25.7658240Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3439]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7658500Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3440]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49129518) 2025-06-05T19:09:25.7658760Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3441]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7659010Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3442]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7659260Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3443]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7659550Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3444]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7659810Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3445]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7660090Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3446]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49129774) 2025-06-05T19:09:25.7660340Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3447]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7660600Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3448]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49130030) 2025-06-05T19:09:25.7660850Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3449]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7661100Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3450]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7661350Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3451]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7661600Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3452]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7661860Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3453]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7662100Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3454]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7662350Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3455]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7662660Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3456]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7662920Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3457]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7663180Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3458]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7663430Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3459]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7663670Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3460]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7663990Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3461]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7664240Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3462]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7664490Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3463]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7664740Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3464]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49130286) 2025-06-05T19:09:25.7664990Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3465]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7665290Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3466]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7665550Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3467]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7665820Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3468]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7666070Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3469]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7666320Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3470]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7666570Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3471]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7666820Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3472]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7667070Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3473]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7667320Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3474]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7667580Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3475]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49130288) 2025-06-05T19:09:25.7667830Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3476]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7668080Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3477]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7668380Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3478]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7668650Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3479]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49130544) 2025-06-05T19:09:25.7668900Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3480]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7669160Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3481]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49130800) 2025-06-05T19:09:25.7669410Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3482]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7669720Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3483]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7669980Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3484]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49131056) 2025-06-05T19:09:25.7670230Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3485]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7670470Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3486]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7670720Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3487]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7671020Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3488]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7671300Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3489]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49132080) 2025-06-05T19:09:25.7671570Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3490]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7671810Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3491]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7672060Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3492]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7672330Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3493]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49132336) 2025-06-05T19:09:25.7672570Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3494]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7672840Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3495]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49132592) 2025-06-05T19:09:25.7673090Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3496]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7673330Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3497]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7673590Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3498]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49132848) 2025-06-05T19:09:25.7673840Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3499]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7674120Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3500]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7674370Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3501]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7674620Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3502]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7674880Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3503]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49133872) 2025-06-05T19:09:25.7675130Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3504]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7675420Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3505]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7675680Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3506]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7675940Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3507]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49134128) 2025-06-05T19:09:25.7676180Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3508]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7676440Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3509]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49134384) 2025-06-05T19:09:25.7676780Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3510]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7677030Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3511]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7677330Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3512]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49134640) 2025-06-05T19:09:25.7677580Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3513]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7677830Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3514]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7678080Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3515]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7678330Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3516]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7678590Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3517]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49135664) 2025-06-05T19:09:25.7678830Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3518]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7679080Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3519]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7679330Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3520]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7679590Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3521]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49135920) 2025-06-05T19:09:25.7679870Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3522]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7680130Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3523]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49136176) 2025-06-05T19:09:25.7683320Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3524]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7683580Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3525]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7683840Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3526]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49136432) 2025-06-05T19:09:25.7684190Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3527]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7684440Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3528]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7684690Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3529]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7684930Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3530]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7685190Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3531]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49137456) 2025-06-05T19:09:25.7685480Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3532]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7685760Z [INFO 2025-06-05 19:09:25,617 mps_preprocess.py:291] [3533]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7686010Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3534]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7686260Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3535]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49137712) 2025-06-05T19:09:25.7686520Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3536]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7686780Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3537]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49137968) 2025-06-05T19:09:25.7687030Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3538]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7687280Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3539]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7687530Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3540]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49138224) 2025-06-05T19:09:25.7687780Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3541]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7688030Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3542]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7688280Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3543]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7688610Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3544]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49139248) 2025-06-05T19:09:25.7688860Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3545]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7689120Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3546]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49140272) 2025-06-05T19:09:25.7689370Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3547]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7689610Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3548]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7689930Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3549]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7690190Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3550]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7690450Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3551]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49141296) 2025-06-05T19:09:25.7690690Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3552]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7691020Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3553]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49141552) 2025-06-05T19:09:25.7691270Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3554]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7691560Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3555]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49141808) 2025-06-05T19:09:25.7691800Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3556]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7692050Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3557]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7692300Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3558]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7692560Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3559]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7692820Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3560]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49142064) 2025-06-05T19:09:25.7693070Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3561]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7693340Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3562]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49142320) 2025-06-05T19:09:25.7693590Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3563]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7693840Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3564]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7694100Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3565]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49142576) 2025-06-05T19:09:25.7694390Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3566]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7694650Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3567]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49142832) 2025-06-05T19:09:25.7694900Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3568]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7695150Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3569]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7695470Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3570]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7695720Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3571]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7695970Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3572]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7696230Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3573]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49143088) 2025-06-05T19:09:25.7696480Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3574]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7696800Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3575]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49143344) 2025-06-05T19:09:25.7697070Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3576]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7697370Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3577]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7697620Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3578]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7697870Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3579]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7698120Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3580]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7698370Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3581]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7698630Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3582]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7698880Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3583]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7699130Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3584]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7699380Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3585]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7699630Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3586]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7699880Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3587]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7700160Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3588]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7700420Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3589]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7700670Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3590]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7700920Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3591]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49143600) 2025-06-05T19:09:25.7701230Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3592]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7701480Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3593]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7701730Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3594]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7701990Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3595]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7702240Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3596]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7702540Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3597]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7702790Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3598]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7703080Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3599]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7703340Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3600]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7703590Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3601]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7703850Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3602]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49143602) 2025-06-05T19:09:25.7704110Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3603]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7704360Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3604]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7704610Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3605]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7704880Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3606]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49143858) 2025-06-05T19:09:25.7705130Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3607]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7705390Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3608]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49144114) 2025-06-05T19:09:25.7705640Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3609]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7705940Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3610]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7706200Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3611]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49144370) 2025-06-05T19:09:25.7706450Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3612]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7706700Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3613]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7707030Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3614]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7707280Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3615]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7707550Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3616]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49145394) 2025-06-05T19:09:25.7707790Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3617]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7708040Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3618]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7708410Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3619]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7708670Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3620]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49145650) 2025-06-05T19:09:25.7708960Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3621]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7709220Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3622]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49145906) 2025-06-05T19:09:25.7709480Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3623]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7709720Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3624]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7709990Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3625]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49146162) 2025-06-05T19:09:25.7710230Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3626]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7710480Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3627]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7710740Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3628]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7710980Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3629]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7711240Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3630]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49147186) 2025-06-05T19:09:25.7711530Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3631]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7711790Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3632]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7712040Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3633]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7712300Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3634]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49147442) 2025-06-05T19:09:25.7712550Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3635]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7712910Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3636]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49147698) 2025-06-05T19:09:25.7713160Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3637]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7713410Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3638]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7713670Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3639]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49147954) 2025-06-05T19:09:25.7713920Z [INFO 2025-06-05 19:09:25,618 mps_preprocess.py:291] [3640]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7714300Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3641]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7714560Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3642]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7714840Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3643]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7715100Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3644]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49148978) 2025-06-05T19:09:25.7715350Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3645]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7715600Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3646]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7715850Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3647]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7716120Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3648]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49149234) 2025-06-05T19:09:25.7716370Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3649]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7716620Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3650]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49149490) 2025-06-05T19:09:25.7716880Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3651]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7717130Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3652]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7717420Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3653]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49149746) 2025-06-05T19:09:25.7717680Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3654]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7717930Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3655]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7718180Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3656]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7718420Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3657]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7718750Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3658]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49150770) 2025-06-05T19:09:25.7719010Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3659]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7719260Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3660]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7719510Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3661]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7719770Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3662]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49151026) 2025-06-05T19:09:25.7720080Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3663]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7720350Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3664]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49151282) 2025-06-05T19:09:25.7720630Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3665]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7720880Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3666]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7721150Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3667]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49151538) 2025-06-05T19:09:25.7721400Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3668]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7721650Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3669]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7721900Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3670]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7722170Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3671]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49152562) 2025-06-05T19:09:25.7722420Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3672]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7722680Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3673]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49153586) 2025-06-05T19:09:25.7722940Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3674]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7723230Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3675]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7723490Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3676]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7723730Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3677]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7723990Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3678]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49154610) 2025-06-05T19:09:25.7724240Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3679]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7724560Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3680]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49154866) 2025-06-05T19:09:25.7724810Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3681]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7725070Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3682]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49155122) 2025-06-05T19:09:25.7725320Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3683]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7725570Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3684]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7725870Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3685]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7726130Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3686]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7726430Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3687]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49155378) 2025-06-05T19:09:25.7726680Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3688]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7726940Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3689]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49155634) 2025-06-05T19:09:25.7727190Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3690]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7727450Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3691]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7727710Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3692]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49155890) 2025-06-05T19:09:25.7727960Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3693]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7728210Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3694]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49156146) 2025-06-05T19:09:25.7728460Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3695]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7728710Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3696]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7728980Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3697]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7729220Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3698]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7729470Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3699]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7729730Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3700]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49156402) 2025-06-05T19:09:25.7729980Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3701]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7730370Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3702]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49156658) 2025-06-05T19:09:25.7730620Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3703]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7730860Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3704]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7731110Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3705]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7731360Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3706]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7731680Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3707]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7731950Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3708]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7732200Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3709]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7732450Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3710]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7732700Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3711]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7732950Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3712]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7733200Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3713]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7733450Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3714]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7733700Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3715]: MPSTensor(datatype=2, num_dims=3, dims=[4, 32, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7733940Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3716]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7734190Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3717]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7734440Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3718]: MPSTensor(datatype=1, num_dims=0, dims=[], constant_buffer_size=2, segment_offset=49156914) 2025-06-05T19:09:25.7734730Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3719]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7734980Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3720]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7735230Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3721]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7735480Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3722]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7735730Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3723]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 8], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7736030Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3724]: MPSTensor(datatype=2, num_dims=3, dims=[4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7736280Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3725]: MPSTensor(datatype=2, num_dims=4, dims=[1, 4, 8, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7736530Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3726]: MPSTensor(datatype=2, num_dims=4, dims=[1, 8, 4, 32], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7736780Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3727]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7737080Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3728]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7737350Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3729]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49156916) 2025-06-05T19:09:25.7737620Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3730]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7737870Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3731]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7738120Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3732]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7738380Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3733]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49157172) 2025-06-05T19:09:25.7738630Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3734]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7738900Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3735]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49157428) 2025-06-05T19:09:25.7739150Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3736]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7739400Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3737]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7739660Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3738]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49157684) 2025-06-05T19:09:25.7739910Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3739]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7740160Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3740]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7740460Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3741]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7740710Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3742]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7740970Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3743]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49158708) 2025-06-05T19:09:25.7741220Z [INFO 2025-06-05 19:09:25,619 mps_preprocess.py:291] [3744]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7741550Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3745]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7741800Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3746]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7742060Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3747]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49158964) 2025-06-05T19:09:25.7742320Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3748]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7742580Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3749]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49159220) 2025-06-05T19:09:25.7742900Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3750]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7743150Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3751]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7743440Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3752]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49159476) 2025-06-05T19:09:25.7743680Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3753]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7743940Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3754]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7744190Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3755]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7744440Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3756]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7744700Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3757]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49160500) 2025-06-05T19:09:25.7744950Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3758]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7745210Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3759]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7745450Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3760]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7745720Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3761]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49160756) 2025-06-05T19:09:25.7745970Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3762]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7746250Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3763]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49161012) 2025-06-05T19:09:25.7746510Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3764]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7746760Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3765]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7747020Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3766]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49161268) 2025-06-05T19:09:25.7747350Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3767]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7747610Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3768]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7747860Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3769]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7748110Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3770]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7748370Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3771]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49162292) 2025-06-05T19:09:25.7748660Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3772]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7748920Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3773]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7749220Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3774]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7749490Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3775]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49162548) 2025-06-05T19:09:25.7749740Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3776]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7750000Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3777]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49162804) 2025-06-05T19:09:25.7750250Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3778]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7750500Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3779]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7750770Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3780]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49163060) 2025-06-05T19:09:25.7751010Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3781]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7751270Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3782]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7751520Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3783]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7751760Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3784]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7752060Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3785]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49164084) 2025-06-05T19:09:25.7752310Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3786]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7752560Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3787]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7752810Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3788]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7753150Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3789]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49164340) 2025-06-05T19:09:25.7753400Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3790]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7753660Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3791]: MPSTensor(datatype=1, num_dims=1, dims=[128], constant_buffer_size=256, segment_offset=49164596) 2025-06-05T19:09:25.7753920Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3792]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7754170Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3793]: MPSTensor(datatype=2, num_dims=2, dims=[8, 128], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7754490Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3794]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49164852) 2025-06-05T19:09:25.7754740Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3795]: MPSTensor(datatype=2, num_dims=2, dims=[8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7755020Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3796]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7755270Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3797]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7755530Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3798]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49165876) 2025-06-05T19:09:25.7755780Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3799]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7756050Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3800]: MPSTensor(datatype=1, num_dims=1, dims=[512], constant_buffer_size=1024, segment_offset=49166900) 2025-06-05T19:09:25.7756300Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3801]: MPSTensor(datatype=2, num_dims=3, dims=[1, 8, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7756550Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:291] [3802]: MPSTensor(datatype=2, num_dims=2, dims=[1, 512], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:09:25.7756650Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:292] Input ids: 2025-06-05T19:09:25.7756740Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:294] 0 2025-06-05T19:09:25.7756850Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:295] Constant ids: 2025-06-05T19:09:25.7756930Z [INFO 2025-06-05 19:09:25,620 mps_preprocess.py:297] 3 2025-06-05T19:09:25.7757020Z [INFO 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2025-06-05 19:09:25,628 mps_preprocess.py:297] 3644 2025-06-05T19:10:09.3181350Z [INFO 2025-06-05 19:09:25,628 mps_preprocess.py:297] 3648 2025-06-05T19:10:09.3181640Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3650 2025-06-05T19:10:09.3181910Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3653 2025-06-05T19:10:09.3182160Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3658 2025-06-05T19:10:09.3182410Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3662 2025-06-05T19:10:09.3182970Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3664 2025-06-05T19:10:09.3183240Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3667 2025-06-05T19:10:09.3183490Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3671 2025-06-05T19:10:09.3183740Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3673 2025-06-05T19:10:09.3184000Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3678 2025-06-05T19:10:09.3184250Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3680 2025-06-05T19:10:09.3184500Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3682 2025-06-05T19:10:09.3184750Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3687 2025-06-05T19:10:09.3184990Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3689 2025-06-05T19:10:09.3185330Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3692 2025-06-05T19:10:09.3185580Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3694 2025-06-05T19:10:09.3185830Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3700 2025-06-05T19:10:09.3186090Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3702 2025-06-05T19:10:09.3186330Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3718 2025-06-05T19:10:09.3186580Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3729 2025-06-05T19:10:09.3186820Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3733 2025-06-05T19:10:09.3187070Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3735 2025-06-05T19:10:09.3187310Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3738 2025-06-05T19:10:09.3187560Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3743 2025-06-05T19:10:09.3187810Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3747 2025-06-05T19:10:09.3188120Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3749 2025-06-05T19:10:09.3188370Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3752 2025-06-05T19:10:09.3188620Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3757 2025-06-05T19:10:09.3188950Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3761 2025-06-05T19:10:09.3189200Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3763 2025-06-05T19:10:09.3189450Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3766 2025-06-05T19:10:09.3189690Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3771 2025-06-05T19:10:09.3189940Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3775 2025-06-05T19:10:09.3190180Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3777 2025-06-05T19:10:09.3190430Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3780 2025-06-05T19:10:09.3190680Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3785 2025-06-05T19:10:09.3190920Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3789 2025-06-05T19:10:09.3191170Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3791 2025-06-05T19:10:09.3191420Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3794 2025-06-05T19:10:09.3191670Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3798 2025-06-05T19:10:09.3191910Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:297] 3800 2025-06-05T19:10:09.3192180Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:298] Output ids: 2025-06-05T19:10:09.3192440Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:300] 3801 2025-06-05T19:10:09.3192680Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:300] 3802 2025-06-05T19:10:09.3193020Z [INFO 2025-06-05 19:09:25,629 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:10:09.3193580Z huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... 2025-06-05T19:10:09.3194040Z To disable this warning, you can either: 2025-06-05T19:10:09.3194270Z - Avoid using `tokenizers` before the fork if possible 2025-06-05T19:10:09.3194590Z - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) 2025-06-05T19:10:09.3194970Z [INFO 2025-06-05 19:09:26,294 mps_example.py:185] Lowered graph: 2025-06-05T19:10:09.3201490Z graph(): 2025-06-05T19:10:09.3201660Z %input_ids : [num_users=1] = placeholder[target=input_ids] 2025-06-05T19:10:09.3201950Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:10:09.3202490Z %executorch_call_delegate : [num_users=2] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %input_ids), kwargs = {}) 2025-06-05T19:10:09.3203120Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:10:09.3203630Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 1), kwargs = {}) 2025-06-05T19:10:09.3204090Z return (getitem, getitem_1) 2025-06-05T19:10:09.3204390Z [DEBUG 2025-06-05 19:09:27,831 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:10:09.3204900Z [DEBUG 2025-06-05 19:09:27,831 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:10:09.3205400Z [DEBUG 2025-06-05 19:09:27,831 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 18496] 2025-06-05T19:10:09.3205820Z [DEBUG 2025-06-05 19:09:27,831 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:10:09.3206490Z [DEBUG 2025-06-05 19:09:27,832 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:10:09.3207280Z huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... 2025-06-05T19:10:09.3207780Z To disable this warning, you can either: 2025-06-05T19:10:09.3208010Z - Avoid using `tokenizers` before the fork if possible 2025-06-05T19:10:09.3208320Z - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) 2025-06-05T19:10:09.3208760Z [INFO 2025-06-05 19:09:58,143 utils.py:141] Saved exported program to mobilebert_mps_float16.pte 2025-06-05T19:10:09.3209000Z 2025-06-05T19:10:09.3209090Z ++ find . -type f -name 'mobilebert*.pte' -print -quit 2025-06-05T19:10:09.3209340Z + EXPORTED_MODEL=./mobilebert_coreml_all_float16.pte 2025-06-05T19:10:09.3209530Z + [[ 0 -eq 0 ]] 2025-06-05T19:10:09.3209660Z + prepare_artifacts_upload 2025-06-05T19:10:09.3209800Z + '[' -n '' ']' 2025-06-05T19:10:09.3210160Z ##[endgroup] 2025-06-05T19:10:09.3210390Z ##[group]Exporting coreml model: w2l 2025-06-05T19:10:09.3210570Z ++ dirname .ci/scripts/test_model.sh 2025-06-05T19:10:09.3210740Z + source .ci/scripts/utils.sh 2025-06-05T19:10:09.3210890Z + MODEL_NAME=w2l 2025-06-05T19:10:09.3211010Z + [[ -z w2l ]] 2025-06-05T19:10:09.3211120Z + BUILD_TOOL=cmake 2025-06-05T19:10:09.3211240Z + [[ -z cmake ]] 2025-06-05T19:10:09.3211360Z + BACKEND=coreml 2025-06-05T19:10:09.3211470Z + [[ -z coreml ]] 2025-06-05T19:10:09.3211590Z + UPLOAD_DIR= 2025-06-05T19:10:09.3211700Z + [[ -z python ]] 2025-06-05T19:10:09.3211820Z + which python 2025-06-05T19:10:09.3212030Z /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/python 2025-06-05T19:10:09.3212300Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T19:10:09.3212450Z + EXPORTED_MODEL=w2l 2025-06-05T19:10:09.3212600Z + [[ coreml == \p\o\r\t\a\b\l\e ]] 2025-06-05T19:10:09.3212760Z + [[ coreml == *\q\n\n* ]] 2025-06-05T19:10:09.3212900Z + [[ coreml == *\c\o\r\e\m\l* ]] 2025-06-05T19:10:09.3213070Z + echo 'Testing w2l with coreml...' 2025-06-05T19:10:09.3213240Z Testing w2l with coreml... 2025-06-05T19:10:09.3213390Z + should_test_coreml=false 2025-06-05T19:10:09.3213540Z + [[ coreml == *\t\e\s\t* ]] 2025-06-05T19:10:09.3213700Z + test_model_with_coreml false 2025-06-05T19:10:09.3213850Z + local should_test=false 2025-06-05T19:10:09.3213990Z + [[ cmake != \c\m\a\k\e ]] 2025-06-05T19:10:09.3214130Z + DTYPE=float16 2025-06-05T19:10:09.3214510Z + python -m examples.apple.coreml.scripts.export --model_name=w2l --compute_precision float16 --use_partitioner 2025-06-05T19:10:09.3215180Z Torch version 2.8.0a0+git5616fa4 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested. 2025-06-05T19:10:09.3215970Z W0605 19:10:01.427000 12769 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. 2025-06-05T19:10:09.3216740Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:10:09.3217120Z 2025-06-05T19:10:09.3217270Z Converting PyTorch Frontend ==> MIL Ops: 0%| | 0/25 [00:00 MIL Ops: 96%|█████████▌| 24/25 [00:00<00:00, 2499.27 ops/s] 2025-06-05T19:10:09.3218070Z 2025-06-05T19:10:09.3218220Z Running MIL frontend_pytorch pipeline: 0%| | 0/5 [00:00 /Users/ec2-user/.local/lib/python3.11/site-packages/torio/lib/libtorio_ffmpeg6.so 2025-06-05T19:10:09.5185220Z Reason: tried: '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/lib-dynload/../../libavutil.58.dylib' (no such file), '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/../lib/libavutil.58.dylib' (no such file) 2025-06-05T19:10:09.5185940Z [DEBUG 2025-06-05 19:10:08,926 utils.py:114] Loading FFmpeg5 2025-06-05T19:10:09.5186220Z [DEBUG 2025-06-05 19:10:08,926 utils.py:120] Failed to load FFmpeg5 extension. 2025-06-05T19:10:09.5186470Z Traceback (most recent call last): 2025-06-05T19:10:09.5186840Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 116, in _find_ffmpeg_extension 2025-06-05T19:10:09.5187240Z ext = _find_versionsed_ffmpeg_extension(ffmpeg_ver) 2025-06-05T19:10:09.5187450Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-06-05T19:10:09.5187860Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 108, in _find_versionsed_ffmpeg_extension 2025-06-05T19:10:09.5188270Z _load_lib(lib) 2025-06-05T19:10:09.5188570Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 94, in _load_lib 2025-06-05T19:10:09.5188960Z torch.ops.load_library(path) 2025-06-05T19:10:09.5189420Z File "/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torch/_ops.py", line 1442, in load_library 2025-06-05T19:10:09.5189890Z ctypes.CDLL(path) 2025-06-05T19:10:09.5190280Z File "/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/ctypes/__init__.py", line 376, in __init__ 2025-06-05T19:10:09.5190720Z self._handle = _dlopen(self._name, mode) 2025-06-05T19:10:09.5190950Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-06-05T19:10:09.5191450Z OSError: dlopen(/Users/ec2-user/.local/lib/python3.11/site-packages/torio/lib/libtorio_ffmpeg5.so, 0x0006): Library not loaded: @rpath/libavutil.57.dylib 2025-06-05T19:10:09.5192370Z Referenced from: <1696DF3C-4035-3FF9-8742-820257AE0A07> /Users/ec2-user/.local/lib/python3.11/site-packages/torio/lib/libtorio_ffmpeg5.so 2025-06-05T19:10:09.5193410Z Reason: tried: '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/lib-dynload/../../libavutil.57.dylib' (no such file), '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/../lib/libavutil.57.dylib' (no such file) 2025-06-05T19:10:09.5194200Z [DEBUG 2025-06-05 19:10:08,926 utils.py:114] Loading FFmpeg4 2025-06-05T19:10:09.5194500Z [DEBUG 2025-06-05 19:10:08,927 utils.py:120] Failed to load FFmpeg4 extension. 2025-06-05T19:10:09.5194770Z Traceback (most recent call last): 2025-06-05T19:10:09.5195180Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 116, in _find_ffmpeg_extension 2025-06-05T19:10:09.5195690Z ext = _find_versionsed_ffmpeg_extension(ffmpeg_ver) 2025-06-05T19:10:09.5195910Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-06-05T19:10:09.5196340Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 108, in _find_versionsed_ffmpeg_extension 2025-06-05T19:10:09.5196730Z _load_lib(lib) 2025-06-05T19:10:09.5197050Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 94, in _load_lib 2025-06-05T19:10:09.5197430Z torch.ops.load_library(path) 2025-06-05T19:10:09.5197870Z File "/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torch/_ops.py", line 1442, in load_library 2025-06-05T19:10:09.5198300Z ctypes.CDLL(path) 2025-06-05T19:10:09.5198660Z File "/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/ctypes/__init__.py", line 376, in __init__ 2025-06-05T19:10:09.5199140Z self._handle = _dlopen(self._name, mode) 2025-06-05T19:10:09.5199340Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-06-05T19:10:09.5199810Z OSError: dlopen(/Users/ec2-user/.local/lib/python3.11/site-packages/torio/lib/libtorio_ffmpeg4.so, 0x0006): Library not loaded: @rpath/libavutil.56.dylib 2025-06-05T19:10:09.5200650Z Referenced from: <2A1F031E-105D-3CCD-BC43-D91256368647> /Users/ec2-user/.local/lib/python3.11/site-packages/torio/lib/libtorio_ffmpeg4.so 2025-06-05T19:10:09.5201630Z Reason: tried: '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/lib-dynload/../../libavutil.56.dylib' (no such file), '/Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/bin/../lib/libavutil.56.dylib' (no such file) 2025-06-05T19:10:09.5202410Z [DEBUG 2025-06-05 19:10:08,927 utils.py:114] Loading FFmpeg 2025-06-05T19:10:09.5202700Z [DEBUG 2025-06-05 19:10:08,927 utils.py:120] Failed to load FFmpeg extension. 2025-06-05T19:10:09.5202960Z Traceback (most recent call last): 2025-06-05T19:10:09.5203370Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 116, in _find_ffmpeg_extension 2025-06-05T19:10:09.5203830Z ext = _find_versionsed_ffmpeg_extension(ffmpeg_ver) 2025-06-05T19:10:09.5204050Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-06-05T19:10:09.5204470Z File "/Users/ec2-user/.local/lib/python3.11/site-packages/torio/_extension/utils.py", line 106, in _find_versionsed_ffmpeg_extension 2025-06-05T19:10:09.5204950Z raise RuntimeError(f"FFmpeg{version} extension is not available.") 2025-06-05T19:10:09.5205240Z RuntimeError: FFmpeg extension is not available. 2025-06-05T19:10:09.5205510Z [INFO 2025-06-05 19:10:08,940 model.py:22] Loading wav2letter model 2025-06-05T19:10:09.5205780Z [INFO 2025-06-05 19:10:09,039 model.py:24] Loaded wav2letter model 2025-06-05T19:10:09.5206050Z [INFO 2025-06-05 19:10:09,317 utils.py:50] Core ATen graph: 2025-06-05T19:10:09.5206280Z graph(): 2025-06-05T19:10:09.5206680Z %p_getattr_getattr_l__self___acoustic_model___0_____0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___0_____0___weight] 2025-06-05T19:10:09.5207550Z %p_getattr_getattr_l__self___acoustic_model___0_____0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___0_____0___bias] 2025-06-05T19:10:09.5208320Z %p_getattr_getattr_l__self___acoustic_model___1_____0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____0___weight] 2025-06-05T19:10:09.5209050Z %p_getattr_getattr_l__self___acoustic_model___1_____0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____0___bias] 2025-06-05T19:10:09.5209770Z %p_getattr_getattr_l__self___acoustic_model___1_____2___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____2___weight] 2025-06-05T19:10:09.5210500Z %p_getattr_getattr_l__self___acoustic_model___1_____2___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____2___bias] 2025-06-05T19:10:09.5211340Z %p_getattr_getattr_l__self___acoustic_model___1_____4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____4___weight] 2025-06-05T19:10:09.5212060Z %p_getattr_getattr_l__self___acoustic_model___1_____4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____4___bias] 2025-06-05T19:10:09.5212780Z %p_getattr_getattr_l__self___acoustic_model___1_____6___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____6___weight] 2025-06-05T19:10:09.5213500Z %p_getattr_getattr_l__self___acoustic_model___1_____6___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____6___bias] 2025-06-05T19:10:09.5214290Z %p_getattr_getattr_l__self___acoustic_model___1_____8___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____8___weight] 2025-06-05T19:10:09.5277620Z %p_getattr_getattr_l__self___acoustic_model___1_____8___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____8___bias] 2025-06-05T19:10:09.5295560Z %p_getattr_getattr_l__self___acoustic_model___1_____10___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____10___weight] 2025-06-05T19:10:09.5296250Z %p_getattr_getattr_l__self___acoustic_model___1_____10___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____10___bias] 2025-06-05T19:10:09.5296940Z %p_getattr_getattr_l__self___acoustic_model___1_____12___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____12___weight] 2025-06-05T19:10:09.5297620Z %p_getattr_getattr_l__self___acoustic_model___1_____12___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____12___bias] 2025-06-05T19:10:09.5298320Z %p_getattr_getattr_l__self___acoustic_model___1_____14___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____14___weight] 2025-06-05T19:10:09.5299000Z %p_getattr_getattr_l__self___acoustic_model___1_____14___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____14___bias] 2025-06-05T19:10:09.5299670Z %p_getattr_getattr_l__self___acoustic_model___1_____16___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____16___weight] 2025-06-05T19:10:09.5300340Z %p_getattr_getattr_l__self___acoustic_model___1_____16___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____16___bias] 2025-06-05T19:10:09.5301010Z %p_getattr_getattr_l__self___acoustic_model___1_____18___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____18___weight] 2025-06-05T19:10:09.5301690Z %p_getattr_getattr_l__self___acoustic_model___1_____18___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____18___bias] 2025-06-05T19:10:09.5302490Z %p_getattr_getattr_l__self___acoustic_model___1_____20___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____20___weight] 2025-06-05T19:10:09.5303170Z %p_getattr_getattr_l__self___acoustic_model___1_____20___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___acoustic_model___1_____20___bias] 2025-06-05T19:10:09.5303610Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:10:09.5304240Z %conv1d : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%x, %p_getattr_getattr_l__self___acoustic_model___0_____0___weight, %p_getattr_getattr_l__self___acoustic_model___0_____0___bias, [160], [45]), kwargs = {}) 2025-06-05T19:10:09.5305000Z %relu_ : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d,), kwargs = {}) 2025-06-05T19:10:09.5305810Z %conv1d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu_, %p_getattr_getattr_l__self___acoustic_model___1_____0___weight, %p_getattr_getattr_l__self___acoustic_model___1_____0___bias, [2], [23]), kwargs = {}) 2025-06-05T19:10:09.5306560Z %relu__1 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_1,), kwargs = {}) 2025-06-05T19:10:09.5307310Z %conv1d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__1, %p_getattr_getattr_l__self___acoustic_model___1_____2___weight, %p_getattr_getattr_l__self___acoustic_model___1_____2___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5308050Z %relu__2 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_2,), kwargs = {}) 2025-06-05T19:10:09.5308850Z %conv1d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__2, %p_getattr_getattr_l__self___acoustic_model___1_____4___weight, %p_getattr_getattr_l__self___acoustic_model___1_____4___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5309610Z %relu__3 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_3,), kwargs = {}) 2025-06-05T19:10:09.5310430Z %conv1d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__3, %p_getattr_getattr_l__self___acoustic_model___1_____6___weight, %p_getattr_getattr_l__self___acoustic_model___1_____6___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5311170Z %relu__4 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_4,), kwargs = {}) 2025-06-05T19:10:09.5311910Z %conv1d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__4, %p_getattr_getattr_l__self___acoustic_model___1_____8___weight, %p_getattr_getattr_l__self___acoustic_model___1_____8___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5312660Z %relu__5 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_5,), kwargs = {}) 2025-06-05T19:10:09.5313420Z %conv1d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__5, %p_getattr_getattr_l__self___acoustic_model___1_____10___weight, %p_getattr_getattr_l__self___acoustic_model___1_____10___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5314170Z %relu__6 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_6,), kwargs = {}) 2025-06-05T19:10:09.5314910Z %conv1d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__6, %p_getattr_getattr_l__self___acoustic_model___1_____12___weight, %p_getattr_getattr_l__self___acoustic_model___1_____12___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5315660Z %relu__7 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_7,), kwargs = {}) 2025-06-05T19:10:09.5316400Z %conv1d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__7, %p_getattr_getattr_l__self___acoustic_model___1_____14___weight, %p_getattr_getattr_l__self___acoustic_model___1_____14___bias, [1], [3]), kwargs = {}) 2025-06-05T19:10:09.5317190Z %relu__8 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_8,), kwargs = {}) 2025-06-05T19:10:09.5317940Z %conv1d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__8, %p_getattr_getattr_l__self___acoustic_model___1_____16___weight, %p_getattr_getattr_l__self___acoustic_model___1_____16___bias, [1], [16]), kwargs = {}) 2025-06-05T19:10:09.5318680Z %relu__9 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_9,), kwargs = {}) 2025-06-05T19:10:09.5319410Z %conv1d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__9, %p_getattr_getattr_l__self___acoustic_model___1_____18___weight, %p_getattr_getattr_l__self___acoustic_model___1_____18___bias), kwargs = {}) 2025-06-05T19:10:09.5320190Z %relu__10 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_10,), kwargs = {}) 2025-06-05T19:10:09.5320930Z %conv1d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv1d.default](args = (%relu__10, %p_getattr_getattr_l__self___acoustic_model___1_____20___weight, %p_getattr_getattr_l__self___acoustic_model___1_____20___bias), kwargs = {}) 2025-06-05T19:10:09.5321670Z %relu__11 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%conv1d_11,), kwargs = {}) 2025-06-05T19:10:09.5322170Z %log_softmax : [num_users=1] = call_function[target=torch.ops.aten.log_softmax.int](args = (%relu__11, 1), kwargs = {}) 2025-06-05T19:10:09.5322510Z return (log_softmax,) 2025-06-05T19:10:09.5322710Z [INFO 2025-06-05 19:10:09,517 utils.py:70] Exported graph: 2025-06-05T19:10:09.5322920Z ExportedProgram: 2025-06-05T19:10:09.5323070Z class GraphModule(torch.nn.Module): 2025-06-05T19:10:09.5325170Z def forward(self, p_acoustic_model_0_0_weight: "f32[250, 1, 250]", p_acoustic_model_0_0_bias: "f32[250]", p_acoustic_model_1_0_weight: "f32[250, 250, 48]", p_acoustic_model_1_0_bias: "f32[250]", p_acoustic_model_1_2_weight: "f32[250, 250, 7]", p_acoustic_model_1_2_bias: "f32[250]", p_acoustic_model_1_4_weight: "f32[250, 250, 7]", p_acoustic_model_1_4_bias: "f32[250]", p_acoustic_model_1_6_weight: "f32[250, 250, 7]", p_acoustic_model_1_6_bias: "f32[250]", p_acoustic_model_1_8_weight: "f32[250, 250, 7]", p_acoustic_model_1_8_bias: "f32[250]", p_acoustic_model_1_10_weight: "f32[250, 250, 7]", p_acoustic_model_1_10_bias: "f32[250]", p_acoustic_model_1_12_weight: "f32[250, 250, 7]", p_acoustic_model_1_12_bias: "f32[250]", p_acoustic_model_1_14_weight: "f32[250, 250, 7]", p_acoustic_model_1_14_bias: "f32[250]", p_acoustic_model_1_16_weight: "f32[2000, 250, 32]", p_acoustic_model_1_16_bias: "f32[2000]", p_acoustic_model_1_18_weight: "f32[2000, 2000, 1]", p_acoustic_model_1_18_bias: "f32[2000]", p_acoustic_model_1_20_weight: "f32[4096, 2000, 1]", p_acoustic_model_1_20_bias: "f32[4096]", x: "f32[10, 1, 700]"): 2025-06-05T19:10:09.5327670Z # File: /Users/ec2-user/.local/lib/python3.11/site-packages/torchaudio/models/wav2letter.py:70 in forward, code: x = self.acoustic_model(x) 2025-06-05T19:10:09.5328560Z aten_convolution_default: "f32[10, 250, 4]" = executorch_exir_dialects_edge__ops_aten_convolution_default(x, p_acoustic_model_0_0_weight, p_acoustic_model_0_0_bias, [160], [45], [1], False, [0], 1); x = p_acoustic_model_0_0_weight = p_acoustic_model_0_0_bias = None 2025-06-05T19:10:09.5340010Z aten_relu_default: "f32[10, 250, 4]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default); aten_convolution_default = None 2025-06-05T19:10:09.5340940Z aten_convolution_default_1: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default, p_acoustic_model_1_0_weight, p_acoustic_model_1_0_bias, [2], [23], [1], False, [0], 1); aten_relu_default = p_acoustic_model_1_0_weight = p_acoustic_model_1_0_bias = None 2025-06-05T19:10:09.5342000Z aten_relu_default_1: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_1); aten_convolution_default_1 = None 2025-06-05T19:10:09.5342950Z aten_convolution_default_2: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_1, p_acoustic_model_1_2_weight, p_acoustic_model_1_2_bias, [1], [3], [1], False, [0], 1); aten_relu_default_1 = p_acoustic_model_1_2_weight = p_acoustic_model_1_2_bias = None 2025-06-05T19:10:09.5343870Z aten_relu_default_2: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_2); aten_convolution_default_2 = None 2025-06-05T19:10:09.5344800Z aten_convolution_default_3: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_2, p_acoustic_model_1_4_weight, p_acoustic_model_1_4_bias, [1], [3], [1], False, [0], 1); aten_relu_default_2 = p_acoustic_model_1_4_weight = p_acoustic_model_1_4_bias = None 2025-06-05T19:10:09.5345760Z aten_relu_default_3: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_3); aten_convolution_default_3 = None 2025-06-05T19:10:09.5346690Z aten_convolution_default_4: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_3, p_acoustic_model_1_6_weight, p_acoustic_model_1_6_bias, [1], [3], [1], False, [0], 1); aten_relu_default_3 = p_acoustic_model_1_6_weight = p_acoustic_model_1_6_bias = None 2025-06-05T19:10:09.5347610Z aten_relu_default_4: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_4); aten_convolution_default_4 = None 2025-06-05T19:10:09.5348580Z aten_convolution_default_5: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_4, p_acoustic_model_1_8_weight, p_acoustic_model_1_8_bias, [1], [3], [1], False, [0], 1); aten_relu_default_4 = p_acoustic_model_1_8_weight = p_acoustic_model_1_8_bias = None 2025-06-05T19:10:09.5349570Z aten_relu_default_5: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_5); aten_convolution_default_5 = None 2025-06-05T19:10:09.5350520Z aten_convolution_default_6: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_5, p_acoustic_model_1_10_weight, p_acoustic_model_1_10_bias, [1], [3], [1], False, [0], 1); aten_relu_default_5 = p_acoustic_model_1_10_weight = p_acoustic_model_1_10_bias = None 2025-06-05T19:10:09.5351450Z aten_relu_default_6: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_6); aten_convolution_default_6 = None 2025-06-05T19:10:09.5352390Z aten_convolution_default_7: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_6, p_acoustic_model_1_12_weight, p_acoustic_model_1_12_bias, [1], [3], [1], False, [0], 1); aten_relu_default_6 = p_acoustic_model_1_12_weight = p_acoustic_model_1_12_bias = None 2025-06-05T19:10:09.5353320Z aten_relu_default_7: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_7); aten_convolution_default_7 = None 2025-06-05T19:10:09.5354260Z aten_convolution_default_8: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_7, p_acoustic_model_1_14_weight, p_acoustic_model_1_14_bias, [1], [3], [1], False, [0], 1); aten_relu_default_7 = p_acoustic_model_1_14_weight = p_acoustic_model_1_14_bias = None 2025-06-05T19:10:09.5355190Z aten_relu_default_8: "f32[10, 250, 2]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_8); aten_convolution_default_8 = None 2025-06-05T19:10:09.5356190Z aten_convolution_default_9: "f32[10, 2000, 3]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_8, p_acoustic_model_1_16_weight, p_acoustic_model_1_16_bias, [1], [16], [1], False, [0], 1); aten_relu_default_8 = p_acoustic_model_1_16_weight = p_acoustic_model_1_16_bias = None 2025-06-05T19:10:09.5357130Z aten_relu_default_9: "f32[10, 2000, 3]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_9); aten_convolution_default_9 = None 2025-06-05T19:10:09.5358080Z aten_convolution_default_10: "f32[10, 2000, 3]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_9, p_acoustic_model_1_18_weight, p_acoustic_model_1_18_bias, [1], [0], [1], False, [0], 1); aten_relu_default_9 = p_acoustic_model_1_18_weight = p_acoustic_model_1_18_bias = None 2025-06-05T19:10:09.5359040Z aten_relu_default_10: "f32[10, 2000, 3]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_10); aten_convolution_default_10 = None 2025-06-05T19:10:09.5360050Z aten_convolution_default_11: "f32[10, 4096, 3]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_10, p_acoustic_model_1_20_weight, p_acoustic_model_1_20_bias, [1], [0], [1], False, [0], 1); aten_relu_default_10 = p_acoustic_model_1_20_weight = p_acoustic_model_1_20_bias = None 2025-06-05T19:10:09.5360990Z aten_relu_default_11: "f32[10, 4096, 3]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_convolution_default_11); aten_convolution_default_11 = None 2025-06-05T19:10:09.5361410Z 2025-06-05T19:10:09.5361830Z # File: /Users/ec2-user/.local/lib/python3.11/site-packages/torchaudio/models/wav2letter.py:71 in forward, code: x = nn.functional.log_softmax(x, dim=1) 2025-06-05T19:10:09.5362590Z aten__log_softmax_default: "f32[10, 4096, 3]" = executorch_exir_dialects_edge__ops_aten__log_softmax_default(aten_relu_default_11, 1, False); aten_relu_default_11 = None 2025-06-05T19:10:09.5363060Z return (aten__log_softmax_default,) 2025-06-05T19:10:09.5363240Z 2025-06-05T19:10:09.5363400Z Graph signature: 2025-06-05T19:10:09.5363520Z # inputs 2025-06-05T19:10:09.5363730Z p_acoustic_model_0_0_weight: PARAMETER target='acoustic_model.0.0.weight' 2025-06-05T19:10:09.5364080Z p_acoustic_model_0_0_bias: PARAMETER target='acoustic_model.0.0.bias' 2025-06-05T19:10:09.5364400Z p_acoustic_model_1_0_weight: PARAMETER target='acoustic_model.1.0.weight' 2025-06-05T19:10:09.5364730Z p_acoustic_model_1_0_bias: PARAMETER target='acoustic_model.1.0.bias' 2025-06-05T19:10:09.5365060Z p_acoustic_model_1_2_weight: PARAMETER target='acoustic_model.1.2.weight' 2025-06-05T19:10:09.5365380Z p_acoustic_model_1_2_bias: PARAMETER target='acoustic_model.1.2.bias' 2025-06-05T19:10:09.5365710Z p_acoustic_model_1_4_weight: PARAMETER target='acoustic_model.1.4.weight' 2025-06-05T19:10:09.5366040Z p_acoustic_model_1_4_bias: PARAMETER target='acoustic_model.1.4.bias' 2025-06-05T19:10:09.5366360Z p_acoustic_model_1_6_weight: PARAMETER target='acoustic_model.1.6.weight' 2025-06-05T19:10:09.5366680Z p_acoustic_model_1_6_bias: PARAMETER target='acoustic_model.1.6.bias' 2025-06-05T19:10:09.5367010Z p_acoustic_model_1_8_weight: PARAMETER target='acoustic_model.1.8.weight' 2025-06-05T19:10:09.5367330Z p_acoustic_model_1_8_bias: PARAMETER target='acoustic_model.1.8.bias' 2025-06-05T19:10:09.5367660Z p_acoustic_model_1_10_weight: PARAMETER target='acoustic_model.1.10.weight' 2025-06-05T19:10:09.5367990Z p_acoustic_model_1_10_bias: PARAMETER target='acoustic_model.1.10.bias' 2025-06-05T19:10:09.5368340Z p_acoustic_model_1_12_weight: PARAMETER target='acoustic_model.1.12.weight' 2025-06-05T19:10:09.5368670Z p_acoustic_model_1_12_bias: PARAMETER target='acoustic_model.1.12.bias' 2025-06-05T19:10:09.5369010Z p_acoustic_model_1_14_weight: PARAMETER target='acoustic_model.1.14.weight' 2025-06-05T19:10:09.5369340Z p_acoustic_model_1_14_bias: PARAMETER target='acoustic_model.1.14.bias' 2025-06-05T19:10:09.5369670Z p_acoustic_model_1_16_weight: PARAMETER target='acoustic_model.1.16.weight' 2025-06-05T19:10:09.5370060Z p_acoustic_model_1_16_bias: PARAMETER target='acoustic_model.1.16.bias' 2025-06-05T19:10:09.5370390Z p_acoustic_model_1_18_weight: PARAMETER target='acoustic_model.1.18.weight' 2025-06-05T19:10:09.5370730Z p_acoustic_model_1_18_bias: PARAMETER target='acoustic_model.1.18.bias' 2025-06-05T19:10:09.5371060Z p_acoustic_model_1_20_weight: PARAMETER target='acoustic_model.1.20.weight' 2025-06-05T19:10:09.5371390Z p_acoustic_model_1_20_bias: PARAMETER target='acoustic_model.1.20.bias' 2025-06-05T19:10:09.5371630Z x: USER_INPUT 2025-06-05T19:10:09.5371750Z 2025-06-05T19:10:09.5371850Z # outputs 2025-06-05T19:10:09.5371990Z aten__log_softmax_default: USER_OUTPUT 2025-06-05T19:10:09.5372180Z 2025-06-05T19:10:09.5372290Z Range constraints: {} 2025-06-05T19:10:09.5372390Z 2025-06-05T19:10:09.5372490Z [INFO 2025-06-05 19:10:09,527 mps_example.py:182] Edge IR graph: 2025-06-05T19:10:09.5372710Z graph(): 2025-06-05T19:10:09.5377690Z %p_acoustic_model_0_0_weight : [num_users=1] = placeholder[target=p_acoustic_model_0_0_weight] 2025-06-05T19:10:09.5378120Z %p_acoustic_model_0_0_bias : [num_users=1] = placeholder[target=p_acoustic_model_0_0_bias] 2025-06-05T19:10:09.5939340Z %p_acoustic_model_1_0_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_0_weight] 2025-06-05T19:10:09.5939800Z %p_acoustic_model_1_0_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_0_bias] 2025-06-05T19:10:09.5940220Z %p_acoustic_model_1_2_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_2_weight] 2025-06-05T19:10:09.5940640Z %p_acoustic_model_1_2_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_2_bias] 2025-06-05T19:10:09.5941450Z %p_acoustic_model_1_4_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_4_weight] 2025-06-05T19:10:09.5941860Z %p_acoustic_model_1_4_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_4_bias] 2025-06-05T19:10:09.5942390Z %p_acoustic_model_1_6_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_6_weight] 2025-06-05T19:10:09.5942800Z %p_acoustic_model_1_6_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_6_bias] 2025-06-05T19:10:09.5943200Z %p_acoustic_model_1_8_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_8_weight] 2025-06-05T19:10:09.5943590Z %p_acoustic_model_1_8_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_8_bias] 2025-06-05T19:10:09.5944000Z %p_acoustic_model_1_10_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_10_weight] 2025-06-05T19:10:09.5944400Z %p_acoustic_model_1_10_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_10_bias] 2025-06-05T19:10:09.5944810Z %p_acoustic_model_1_12_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_12_weight] 2025-06-05T19:10:09.5945210Z %p_acoustic_model_1_12_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_12_bias] 2025-06-05T19:10:09.5945610Z %p_acoustic_model_1_14_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_14_weight] 2025-06-05T19:10:09.5946010Z %p_acoustic_model_1_14_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_14_bias] 2025-06-05T19:10:09.5946410Z %p_acoustic_model_1_16_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_16_weight] 2025-06-05T19:10:09.5946810Z %p_acoustic_model_1_16_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_16_bias] 2025-06-05T19:10:09.5947210Z %p_acoustic_model_1_18_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_18_weight] 2025-06-05T19:10:09.5947610Z %p_acoustic_model_1_18_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_18_bias] 2025-06-05T19:10:09.5948010Z %p_acoustic_model_1_20_weight : [num_users=1] = placeholder[target=p_acoustic_model_1_20_weight] 2025-06-05T19:10:09.5948410Z %p_acoustic_model_1_20_bias : [num_users=1] = placeholder[target=p_acoustic_model_1_20_bias] 2025-06-05T19:10:09.5948710Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:10:09.5949440Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%x, %p_acoustic_model_0_0_weight, %p_acoustic_model_0_0_bias, [160], [45], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5950370Z %aten_relu_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default,), kwargs = {}) 2025-06-05T19:10:09.5951300Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default, %p_acoustic_model_1_0_weight, %p_acoustic_model_1_0_bias, [2], [23], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5952310Z %aten_relu_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_1,), kwargs = {}) 2025-06-05T19:10:09.5953250Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_1, %p_acoustic_model_1_2_weight, %p_acoustic_model_1_2_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5954210Z %aten_relu_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_2,), kwargs = {}) 2025-06-05T19:10:09.5955150Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_2, %p_acoustic_model_1_4_weight, %p_acoustic_model_1_4_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5956110Z %aten_relu_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_3,), kwargs = {}) 2025-06-05T19:10:09.5957070Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_3, %p_acoustic_model_1_6_weight, %p_acoustic_model_1_6_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5958080Z %aten_relu_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_4,), kwargs = {}) 2025-06-05T19:10:09.5959010Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_4, %p_acoustic_model_1_8_weight, %p_acoustic_model_1_8_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5959940Z %aten_relu_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_5,), kwargs = {}) 2025-06-05T19:10:09.5960880Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_5, %p_acoustic_model_1_10_weight, %p_acoustic_model_1_10_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5961820Z %aten_relu_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_6,), kwargs = {}) 2025-06-05T19:10:09.5962760Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_6, %p_acoustic_model_1_12_weight, %p_acoustic_model_1_12_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5963700Z %aten_relu_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_7,), kwargs = {}) 2025-06-05T19:10:09.5964700Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_7, %p_acoustic_model_1_14_weight, %p_acoustic_model_1_14_bias, [1], [3], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5965650Z %aten_relu_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_8,), kwargs = {}) 2025-06-05T19:10:09.5966590Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_8, %p_acoustic_model_1_16_weight, %p_acoustic_model_1_16_bias, [1], [16], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5967550Z %aten_relu_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_9,), kwargs = {}) 2025-06-05T19:10:09.5968580Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_9, %p_acoustic_model_1_18_weight, %p_acoustic_model_1_18_bias, [1], [0], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5969570Z %aten_relu_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_10,), kwargs = {}) 2025-06-05T19:10:09.5970560Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_relu_default_10, %p_acoustic_model_1_20_weight, %p_acoustic_model_1_20_bias, [1], [0], [1], False, [0], 1), kwargs = {}) 2025-06-05T19:10:09.5971640Z %aten_relu_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.relu.default](args = (%aten_convolution_default_11,), kwargs = {}) 2025-06-05T19:10:09.5972510Z %aten__log_softmax_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._log_softmax.default](args = (%aten_relu_default_11, 1, False), kwargs = {}) 2025-06-05T19:10:09.5973150Z return (aten__log_softmax_default,) 2025-06-05T19:10:09.5973470Z [INFO 2025-06-05 19:10:09,533 mps_partitioner.py:119] Found 1 subgraphs to be partitioned. 2025-06-05T19:10:09.5976600Z [DEBUG 2025-06-05 19:10:09,533 backend_api.py:464] For tag mps_1_0, found nodes [p_acoustic_model_0_0_weight, p_acoustic_model_0_0_bias, p_acoustic_model_1_0_weight, p_acoustic_model_1_0_bias, p_acoustic_model_1_2_weight, p_acoustic_model_1_2_bias, p_acoustic_model_1_4_weight, p_acoustic_model_1_4_bias, p_acoustic_model_1_6_weight, p_acoustic_model_1_6_bias, p_acoustic_model_1_8_weight, p_acoustic_model_1_8_bias, p_acoustic_model_1_10_weight, p_acoustic_model_1_10_bias, p_acoustic_model_1_12_weight, p_acoustic_model_1_12_bias, p_acoustic_model_1_14_weight, p_acoustic_model_1_14_bias, p_acoustic_model_1_16_weight, p_acoustic_model_1_16_bias, p_acoustic_model_1_18_weight, p_acoustic_model_1_18_bias, p_acoustic_model_1_20_weight, p_acoustic_model_1_20_bias, aten_convolution_default, aten_relu_default, aten_convolution_default_1, aten_relu_default_1, aten_convolution_default_2, aten_relu_default_2, aten_convolution_default_3, aten_relu_default_3, aten_convolution_default_4, aten_relu_default_4, aten_convolution_default_5, aten_relu_default_5, aten_convolution_default_6, aten_relu_default_6, aten_convolution_default_7, aten_relu_default_7, aten_convolution_default_8, aten_relu_default_8, aten_convolution_default_9, aten_relu_default_9, aten_convolution_default_10, aten_relu_default_10, aten_convolution_default_11, aten_relu_default_11, aten__log_softmax_default] 2025-06-05T19:10:09.6035760Z [DEBUG 2025-06-05 19:10:09,535 backend_api.py:488] Partitioned graph module: GraphModule( 2025-06-05T19:10:09.6036080Z (fused_mps_1_0): fused_mps_1_0() 2025-06-05T19:10:09.6036250Z ) 2025-06-05T19:10:09.6036310Z 2025-06-05T19:10:09.6036320Z 2025-06-05T19:10:09.6036320Z 2025-06-05T19:10:09.6036370Z def forward(self, x): 2025-06-05T19:10:09.6036540Z fused_mps_1_0 = self.fused_mps_1_0(x); x = None 2025-06-05T19:10:09.6037010Z getitem = fused_mps_1_0[0]; fused_mps_1_0 = None 2025-06-05T19:10:09.6037210Z return (getitem,) 2025-06-05T19:10:09.6037340Z 2025-06-05T19:10:09.6037520Z # To see more debug info, please use `graph_module.print_readable()` 2025-06-05T19:10:09.6037850Z [DEBUG 2025-06-05 19:10:09,562 mps_preprocess.py:122] Convert model to FP16: True 2025-06-05T19:10:09.6038260Z [DEBUG 2025-06-05 19:10:09,564 node_visitor.py:97] Serializing: x, data type: torch.float32, dims: [10, 1, 700] 2025-06-05T19:10:09.6038730Z [INFO 2025-06-05 19:10:09,564 mps_preprocess.py:193] Visiting: aten_convolution_default, aten.convolution.default 2025-06-05T19:10:09.6039260Z [DEBUG 2025-06-05 19:10:09,564 node_visitor.py:97] Serializing: p_acoustic_model_0_0_weight, data type: torch.float32, dims: [250, 1, 250] 2025-06-05T19:10:09.6039880Z [DEBUG 2025-06-05 19:10:09,564 node_visitor.py:97] Serializing: p_acoustic_model_0_0_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6040440Z [DEBUG 2025-06-05 19:10:09,564 node_visitor.py:97] Serializing: aten_convolution_default, data type: torch.float32, dims: [10, 250, 4] 2025-06-05T19:10:09.6040930Z [INFO 2025-06-05 19:10:09,564 mps_preprocess.py:193] Visiting: aten_relu_default, aten.relu.default 2025-06-05T19:10:09.6041390Z [DEBUG 2025-06-05 19:10:09,564 node_visitor.py:97] Serializing: aten_relu_default, data type: torch.float32, dims: [10, 250, 4] 2025-06-05T19:10:09.6041890Z [INFO 2025-06-05 19:10:09,564 mps_preprocess.py:193] Visiting: aten_convolution_default_1, aten.convolution.default 2025-06-05T19:10:09.6042420Z [DEBUG 2025-06-05 19:10:09,569 node_visitor.py:97] Serializing: p_acoustic_model_1_0_weight, data type: torch.float32, dims: [250, 250, 48] 2025-06-05T19:10:09.6043010Z [DEBUG 2025-06-05 19:10:09,569 node_visitor.py:97] Serializing: p_acoustic_model_1_0_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6043550Z [DEBUG 2025-06-05 19:10:09,569 node_visitor.py:97] Serializing: aten_convolution_default_1, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6044110Z [INFO 2025-06-05 19:10:09,569 mps_preprocess.py:193] Visiting: aten_relu_default_1, aten.relu.default 2025-06-05T19:10:09.6044570Z [DEBUG 2025-06-05 19:10:09,569 node_visitor.py:97] Serializing: aten_relu_default_1, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6045050Z [INFO 2025-06-05 19:10:09,569 mps_preprocess.py:193] Visiting: aten_convolution_default_2, aten.convolution.default 2025-06-05T19:10:09.6045560Z [DEBUG 2025-06-05 19:10:09,572 node_visitor.py:97] Serializing: p_acoustic_model_1_2_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6046080Z [DEBUG 2025-06-05 19:10:09,572 node_visitor.py:97] Serializing: p_acoustic_model_1_2_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6046610Z [DEBUG 2025-06-05 19:10:09,572 node_visitor.py:97] Serializing: aten_convolution_default_2, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6047080Z [INFO 2025-06-05 19:10:09,572 mps_preprocess.py:193] Visiting: aten_relu_default_2, aten.relu.default 2025-06-05T19:10:09.6047540Z [DEBUG 2025-06-05 19:10:09,572 node_visitor.py:97] Serializing: aten_relu_default_2, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6048030Z [INFO 2025-06-05 19:10:09,572 mps_preprocess.py:193] Visiting: aten_convolution_default_3, aten.convolution.default 2025-06-05T19:10:09.6048530Z [DEBUG 2025-06-05 19:10:09,573 node_visitor.py:97] Serializing: p_acoustic_model_1_4_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6049060Z [DEBUG 2025-06-05 19:10:09,573 node_visitor.py:97] Serializing: p_acoustic_model_1_4_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6049580Z [DEBUG 2025-06-05 19:10:09,573 node_visitor.py:97] Serializing: aten_convolution_default_3, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6050050Z [INFO 2025-06-05 19:10:09,573 mps_preprocess.py:193] Visiting: aten_relu_default_3, aten.relu.default 2025-06-05T19:10:09.6050560Z [DEBUG 2025-06-05 19:10:09,573 node_visitor.py:97] Serializing: aten_relu_default_3, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6051060Z [INFO 2025-06-05 19:10:09,573 mps_preprocess.py:193] Visiting: aten_convolution_default_4, aten.convolution.default 2025-06-05T19:10:09.6051570Z [DEBUG 2025-06-05 19:10:09,583 node_visitor.py:97] Serializing: p_acoustic_model_1_6_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6052090Z [DEBUG 2025-06-05 19:10:09,583 node_visitor.py:97] Serializing: p_acoustic_model_1_6_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6052610Z [DEBUG 2025-06-05 19:10:09,583 node_visitor.py:97] Serializing: aten_convolution_default_4, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6053120Z [INFO 2025-06-05 19:10:09,583 mps_preprocess.py:193] Visiting: aten_relu_default_4, aten.relu.default 2025-06-05T19:10:09.6053580Z [DEBUG 2025-06-05 19:10:09,583 node_visitor.py:97] Serializing: aten_relu_default_4, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6054090Z [INFO 2025-06-05 19:10:09,583 mps_preprocess.py:193] Visiting: aten_convolution_default_5, aten.convolution.default 2025-06-05T19:10:09.6054610Z [DEBUG 2025-06-05 19:10:09,584 node_visitor.py:97] Serializing: p_acoustic_model_1_8_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6055170Z [DEBUG 2025-06-05 19:10:09,584 node_visitor.py:97] Serializing: p_acoustic_model_1_8_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6055700Z [DEBUG 2025-06-05 19:10:09,584 node_visitor.py:97] Serializing: aten_convolution_default_5, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6056190Z [INFO 2025-06-05 19:10:09,584 mps_preprocess.py:193] Visiting: aten_relu_default_5, aten.relu.default 2025-06-05T19:10:09.6056710Z [DEBUG 2025-06-05 19:10:09,584 node_visitor.py:97] Serializing: aten_relu_default_5, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6057210Z [INFO 2025-06-05 19:10:09,584 mps_preprocess.py:193] Visiting: aten_convolution_default_6, aten.convolution.default 2025-06-05T19:10:09.6057800Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: p_acoustic_model_1_10_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6058340Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: p_acoustic_model_1_10_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6058880Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: aten_convolution_default_6, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6059390Z [INFO 2025-06-05 19:10:09,585 mps_preprocess.py:193] Visiting: aten_relu_default_6, aten.relu.default 2025-06-05T19:10:09.6059860Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: aten_relu_default_6, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6060370Z [INFO 2025-06-05 19:10:09,585 mps_preprocess.py:193] Visiting: aten_convolution_default_7, aten.convolution.default 2025-06-05T19:10:09.6060890Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: p_acoustic_model_1_12_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6061440Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: p_acoustic_model_1_12_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6062000Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: aten_convolution_default_7, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6062480Z [INFO 2025-06-05 19:10:09,585 mps_preprocess.py:193] Visiting: aten_relu_default_7, aten.relu.default 2025-06-05T19:10:09.6062950Z [DEBUG 2025-06-05 19:10:09,585 node_visitor.py:97] Serializing: aten_relu_default_7, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6063460Z [INFO 2025-06-05 19:10:09,585 mps_preprocess.py:193] Visiting: aten_convolution_default_8, aten.convolution.default 2025-06-05T19:10:09.6063980Z [DEBUG 2025-06-05 19:10:09,586 node_visitor.py:97] Serializing: p_acoustic_model_1_14_weight, data type: torch.float32, dims: [250, 250, 7] 2025-06-05T19:10:09.6064570Z [DEBUG 2025-06-05 19:10:09,586 node_visitor.py:97] Serializing: p_acoustic_model_1_14_bias, data type: torch.float32, dims: [250] 2025-06-05T19:10:09.6065120Z [DEBUG 2025-06-05 19:10:09,586 node_visitor.py:97] Serializing: aten_convolution_default_8, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6065610Z [INFO 2025-06-05 19:10:09,586 mps_preprocess.py:193] Visiting: aten_relu_default_8, aten.relu.default 2025-06-05T19:10:09.6066080Z [DEBUG 2025-06-05 19:10:09,586 node_visitor.py:97] Serializing: aten_relu_default_8, data type: torch.float32, dims: [10, 250, 2] 2025-06-05T19:10:09.6066580Z [INFO 2025-06-05 19:10:09,586 mps_preprocess.py:193] Visiting: aten_convolution_default_9, aten.convolution.default 2025-06-05T19:10:09.6067160Z [DEBUG 2025-06-05 19:10:09,593 node_visitor.py:97] Serializing: p_acoustic_model_1_16_weight, data type: torch.float32, dims: [2000, 250, 32] 2025-06-05T19:10:09.6067720Z [DEBUG 2025-06-05 19:10:09,593 node_visitor.py:97] Serializing: p_acoustic_model_1_16_bias, data type: torch.float32, dims: [2000] 2025-06-05T19:10:09.6068270Z [DEBUG 2025-06-05 19:10:09,593 node_visitor.py:97] Serializing: aten_convolution_default_9, data type: torch.float32, dims: [10, 2000, 3] 2025-06-05T19:10:09.6068760Z [INFO 2025-06-05 19:10:09,593 mps_preprocess.py:193] Visiting: aten_relu_default_9, aten.relu.default 2025-06-05T19:10:09.6069240Z [DEBUG 2025-06-05 19:10:09,593 node_visitor.py:97] Serializing: aten_relu_default_9, data type: torch.float32, dims: [10, 2000, 3] 2025-06-05T19:10:09.6069750Z [INFO 2025-06-05 19:10:09,593 mps_preprocess.py:193] Visiting: aten_convolution_default_10, aten.convolution.default 2025-06-05T19:10:09.6070310Z [DEBUG 2025-06-05 19:10:09,596 node_visitor.py:97] Serializing: p_acoustic_model_1_18_weight, data type: torch.float32, dims: [2000, 2000, 1] 2025-06-05T19:10:09.6070870Z [DEBUG 2025-06-05 19:10:09,596 node_visitor.py:97] Serializing: p_acoustic_model_1_18_bias, data type: torch.float32, dims: [2000] 2025-06-05T19:10:09.6071460Z [DEBUG 2025-06-05 19:10:09,596 node_visitor.py:97] Serializing: aten_convolution_default_10, data type: torch.float32, dims: [10, 2000, 3] 2025-06-05T19:10:09.6071960Z [INFO 2025-06-05 19:10:09,596 mps_preprocess.py:193] Visiting: aten_relu_default_10, aten.relu.default 2025-06-05T19:10:09.6072440Z [DEBUG 2025-06-05 19:10:09,596 node_visitor.py:97] Serializing: aten_relu_default_10, data type: torch.float32, dims: [10, 2000, 3] 2025-06-05T19:10:09.6072950Z [INFO 2025-06-05 19:10:09,596 mps_preprocess.py:193] Visiting: aten_convolution_default_11, aten.convolution.default 2025-06-05T19:10:09.6073480Z [DEBUG 2025-06-05 19:10:09,600 node_visitor.py:97] Serializing: p_acoustic_model_1_20_weight, data type: torch.float32, dims: [4096, 2000, 1] 2025-06-05T19:10:09.6074040Z [DEBUG 2025-06-05 19:10:09,600 node_visitor.py:97] Serializing: p_acoustic_model_1_20_bias, data type: torch.float32, dims: [4096] 2025-06-05T19:10:09.6074590Z [DEBUG 2025-06-05 19:10:09,600 node_visitor.py:97] Serializing: aten_convolution_default_11, data type: torch.float32, dims: [10, 4096, 3] 2025-06-05T19:10:09.6075080Z [INFO 2025-06-05 19:10:09,600 mps_preprocess.py:193] Visiting: aten_relu_default_11, aten.relu.default 2025-06-05T19:10:09.6075560Z [DEBUG 2025-06-05 19:10:09,600 node_visitor.py:97] Serializing: aten_relu_default_11, data type: torch.float32, dims: [10, 4096, 3] 2025-06-05T19:10:09.6076070Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:193] Visiting: aten__log_softmax_default, aten._log_softmax.default 2025-06-05T19:10:09.6076580Z [DEBUG 2025-06-05 19:10:09,601 node_visitor.py:97] Serializing: aten__log_softmax_default, data type: torch.float32, dims: [10, 4096, 3] 2025-06-05T19:10:09.6077020Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:284] Serialized MPSGraph: 2025-06-05T19:10:09.6077310Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:285] Version: 0 2025-06-05T19:10:09.6077580Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:286] MPS nodes: 2025-06-05T19:10:09.6078140Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [0]: MPSNode(mpsnode_union=MPSCast(input1_id=0, output_id=0, dtype=), min_max=None) 2025-06-05T19:10:09.6079100Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [1]: MPSNode(mpsnode_union=MPSConv2D(input1_id=0, input2_id=1, input3_id=2, output_id=3, stride_x=160, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=45, padding_right=45, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6079950Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [2]: MPSNode(mpsnode_union=MPSReLU(input1_id=3, output_id=4), min_max=None) 2025-06-05T19:10:09.6080780Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [3]: MPSNode(mpsnode_union=MPSConv2D(input1_id=4, input2_id=5, input3_id=6, output_id=7, stride_x=2, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=23, padding_right=23, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6081650Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [4]: MPSNode(mpsnode_union=MPSReLU(input1_id=7, output_id=8), min_max=None) 2025-06-05T19:10:09.6082480Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [5]: MPSNode(mpsnode_union=MPSConv2D(input1_id=8, input2_id=9, input3_id=10, output_id=11, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6083310Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [6]: MPSNode(mpsnode_union=MPSReLU(input1_id=11, output_id=12), min_max=None) 2025-06-05T19:10:09.6084190Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [7]: MPSNode(mpsnode_union=MPSConv2D(input1_id=12, input2_id=13, input3_id=14, output_id=15, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6085020Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [8]: MPSNode(mpsnode_union=MPSReLU(input1_id=15, output_id=16), min_max=None) 2025-06-05T19:10:09.6085910Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [9]: MPSNode(mpsnode_union=MPSConv2D(input1_id=16, input2_id=17, input3_id=18, output_id=19, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6086750Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [10]: MPSNode(mpsnode_union=MPSReLU(input1_id=19, output_id=20), min_max=None) 2025-06-05T19:10:09.6087590Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [11]: MPSNode(mpsnode_union=MPSConv2D(input1_id=20, input2_id=21, input3_id=22, output_id=23, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6088430Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [12]: MPSNode(mpsnode_union=MPSReLU(input1_id=23, output_id=24), min_max=None) 2025-06-05T19:10:09.6089260Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [13]: MPSNode(mpsnode_union=MPSConv2D(input1_id=24, input2_id=25, input3_id=26, output_id=27, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6090090Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [14]: MPSNode(mpsnode_union=MPSReLU(input1_id=27, output_id=28), min_max=None) 2025-06-05T19:10:09.6090930Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [15]: MPSNode(mpsnode_union=MPSConv2D(input1_id=28, input2_id=29, input3_id=30, output_id=31, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6091770Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [16]: MPSNode(mpsnode_union=MPSReLU(input1_id=31, output_id=32), min_max=None) 2025-06-05T19:10:09.6092650Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [17]: MPSNode(mpsnode_union=MPSConv2D(input1_id=32, input2_id=33, input3_id=34, output_id=35, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=3, padding_right=3, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6093500Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [18]: MPSNode(mpsnode_union=MPSReLU(input1_id=35, output_id=36), min_max=None) 2025-06-05T19:10:09.6094330Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [19]: MPSNode(mpsnode_union=MPSConv2D(input1_id=36, input2_id=37, input3_id=38, output_id=39, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=16, padding_right=16, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6095200Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [20]: MPSNode(mpsnode_union=MPSReLU(input1_id=39, output_id=40), min_max=None) 2025-06-05T19:10:09.6096040Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [21]: MPSNode(mpsnode_union=MPSConv2D(input1_id=40, input2_id=41, input3_id=42, output_id=43, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6096890Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [22]: MPSNode(mpsnode_union=MPSReLU(input1_id=43, output_id=44), min_max=None) 2025-06-05T19:10:09.6097730Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [23]: MPSNode(mpsnode_union=MPSConv2D(input1_id=44, input2_id=45, input3_id=46, output_id=47, stride_x=1, stride_y=1, dilation_x=1, dilation_y=1, groups=1, padding_left=0, padding_right=0, padding_top=0, padding_bottom=0), min_max=None) 2025-06-05T19:10:09.6098600Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [24]: MPSNode(mpsnode_union=MPSReLU(input1_id=47, output_id=48), min_max=None) 2025-06-05T19:10:09.6099220Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [25]: MPSNode(mpsnode_union=MPSLogSoftmax(input1_id=48, output_id=49, dim=1, half_to_float=False), min_max=None) 2025-06-05T19:10:09.6099990Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:288] [26]: MPSNode(mpsnode_union=MPSCast(input1_id=49, output_id=49, dtype=), min_max=None) 2025-06-05T19:10:09.6100510Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:289] MPS values: 2025-06-05T19:10:09.6100970Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [0]: MPSTensor(datatype=2, num_dims=3, dims=[10, 1, 700], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:09.6101590Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [1]: MPSTensor(datatype=1, num_dims=3, dims=[250, 1, 250], constant_buffer_size=125000, segment_offset=0) 2025-06-05T19:10:09.6102220Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [2]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=125000) 2025-06-05T19:10:09.6102820Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [3]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 4], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3061210Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [4]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 4], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3061940Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [5]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 48], constant_buffer_size=6000000, segment_offset=125500) 2025-06-05T19:10:54.3062580Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [6]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=6125500) 2025-06-05T19:10:54.3063220Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [7]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3063820Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [8]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3070440Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [9]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=6126000) 2025-06-05T19:10:54.3071170Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [10]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=7001000) 2025-06-05T19:10:54.3071770Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [11]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3072350Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [12]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3090870Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [13]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=7001500) 2025-06-05T19:10:54.3091470Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [14]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=7876500) 2025-06-05T19:10:54.3092060Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [15]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3092640Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [16]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3093220Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [17]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=7877000) 2025-06-05T19:10:54.3103690Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [18]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=8752000) 2025-06-05T19:10:54.3104300Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [19]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3104990Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [20]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3105580Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [21]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=8752500) 2025-06-05T19:10:54.3106180Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [22]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=9627500) 2025-06-05T19:10:54.3106740Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [23]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3107300Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [24]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3107880Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [25]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=9628000) 2025-06-05T19:10:54.3108470Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [26]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=10503000) 2025-06-05T19:10:54.3109040Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [27]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3109600Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [28]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3110180Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [29]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=10503500) 2025-06-05T19:10:54.3110850Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [30]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=11378500) 2025-06-05T19:10:54.3111430Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [31]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3112000Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [32]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3112590Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [33]: MPSTensor(datatype=1, num_dims=3, dims=[250, 250, 7], constant_buffer_size=875000, segment_offset=11379000) 2025-06-05T19:10:54.3113180Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [34]: MPSTensor(datatype=1, num_dims=1, dims=[250], constant_buffer_size=500, segment_offset=12254000) 2025-06-05T19:10:54.3113820Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [35]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3114390Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [36]: MPSTensor(datatype=2, num_dims=3, dims=[10, 250, 2], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3114990Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [37]: MPSTensor(datatype=1, num_dims=3, dims=[2000, 250, 32], constant_buffer_size=32000000, segment_offset=12254500) 2025-06-05T19:10:54.3115590Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [38]: MPSTensor(datatype=1, num_dims=1, dims=[2000], constant_buffer_size=4000, segment_offset=44254500) 2025-06-05T19:10:54.3116180Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [39]: MPSTensor(datatype=2, num_dims=3, dims=[10, 2000, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3116780Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [40]: MPSTensor(datatype=2, num_dims=3, dims=[10, 2000, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3117390Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [41]: MPSTensor(datatype=1, num_dims=3, dims=[2000, 2000, 1], constant_buffer_size=8000000, segment_offset=44258500) 2025-06-05T19:10:54.3118040Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [42]: MPSTensor(datatype=1, num_dims=1, dims=[2000], constant_buffer_size=4000, segment_offset=52258500) 2025-06-05T19:10:54.3118630Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [43]: MPSTensor(datatype=2, num_dims=3, dims=[10, 2000, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3119180Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [44]: MPSTensor(datatype=2, num_dims=3, dims=[10, 2000, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3119790Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [45]: MPSTensor(datatype=1, num_dims=3, dims=[4096, 2000, 1], constant_buffer_size=16384000, segment_offset=52262500) 2025-06-05T19:10:54.3120410Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [46]: MPSTensor(datatype=1, num_dims=1, dims=[4096], constant_buffer_size=8192, segment_offset=68646500) 2025-06-05T19:10:54.3121000Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [47]: MPSTensor(datatype=2, num_dims=3, dims=[10, 4096, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3121570Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [48]: MPSTensor(datatype=2, num_dims=3, dims=[10, 4096, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3122150Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:291] [49]: MPSTensor(datatype=2, num_dims=3, dims=[10, 4096, 3], constant_buffer_size=0, segment_offset=0) 2025-06-05T19:10:54.3122570Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:292] Input ids: 2025-06-05T19:10:54.3122830Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:294] 0 2025-06-05T19:10:54.3123090Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:295] Constant ids: 2025-06-05T19:10:54.3123360Z [INFO 2025-06-05 19:10:09,601 mps_preprocess.py:297] 1 2025-06-05T19:10:54.3123650Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 2 2025-06-05T19:10:54.3123890Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 5 2025-06-05T19:10:54.3124130Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 6 2025-06-05T19:10:54.3124360Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 9 2025-06-05T19:10:54.3124600Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 10 2025-06-05T19:10:54.3124840Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 13 2025-06-05T19:10:54.3125070Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 14 2025-06-05T19:10:54.3125310Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 17 2025-06-05T19:10:54.3125550Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 18 2025-06-05T19:10:54.3125830Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 21 2025-06-05T19:10:54.3126070Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 22 2025-06-05T19:10:54.3126310Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 25 2025-06-05T19:10:54.3126550Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 26 2025-06-05T19:10:54.3126790Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 29 2025-06-05T19:10:54.3127030Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 30 2025-06-05T19:10:54.3127260Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 33 2025-06-05T19:10:54.3127490Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 34 2025-06-05T19:10:54.3127730Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 37 2025-06-05T19:10:54.3127960Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 38 2025-06-05T19:10:54.3128190Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 41 2025-06-05T19:10:54.3128430Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 42 2025-06-05T19:10:54.3128720Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 45 2025-06-05T19:10:54.3128970Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:297] 46 2025-06-05T19:10:54.3129220Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:298] Output ids: 2025-06-05T19:10:54.3129510Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:300] 49 2025-06-05T19:10:54.3129850Z [INFO 2025-06-05 19:10:09,602 mps_preprocess.py:301] Constant segment: DataSegment(offset=0, size=0) 2025-06-05T19:10:54.3130190Z [INFO 2025-06-05 19:10:09,658 mps_example.py:185] Lowered graph: 2025-06-05T19:10:54.3130390Z graph(): 2025-06-05T19:10:54.3130530Z %x : [num_users=1] = placeholder[target=x] 2025-06-05T19:10:54.3135710Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T19:10:54.3136270Z %executorch_call_delegate : [num_users=1] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %x), kwargs = {}) 2025-06-05T19:10:54.3136890Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T19:10:54.3137230Z return (getitem,) 2025-06-05T19:10:54.3137500Z [DEBUG 2025-06-05 19:10:09,676 normalize_view_copy_base_pass.py:52] Updated the base on 0 view_copy nodes. 2025-06-05T19:10:54.3138010Z [DEBUG 2025-06-05 19:10:09,676 replace_view_copy_with_view_pass.py:296] Replaced 0 view_copy nodes with nodes. 2025-06-05T19:10:54.3138510Z [DEBUG 2025-06-05 19:10:09,676 memory_planning.py:832] greedy algorithm returns bufsizes: [0, 519520] 2025-06-05T19:10:54.3138940Z [DEBUG 2025-06-05 19:10:09,676 memory_planning.py:903] Best memory planning algo for this model is greedy 2025-06-05T19:10:54.3139610Z [DEBUG 2025-06-05 19:10:09,677 memory_planning_pass.py:154] The algorithm reuses storage for 0 pair of tensors 2025-06-05T19:10:54.3140230Z [INFO 2025-06-05 19:10:54,287 utils.py:141] Saved exported program to w2l_mps_float16.pte 2025-06-05T19:10:54.3140760Z Found library at: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371/lib/python3.11/site-packages/torchao/libtorchao_ops_aten.dylib 2025-06-05T19:10:54.3141470Z opcode name target args kwargs 2025-06-05T19:10:54.3142190Z ------------- ---------------------------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------- -------- 2025-06-05T19:10:54.3143010Z placeholder p_acoustic_model_0_0_weight p_acoustic_model_0_0_weight () {} 2025-06-05T19:10:54.3143610Z placeholder p_acoustic_model_0_0_bias p_acoustic_model_0_0_bias () {} 2025-06-05T19:10:54.3144250Z placeholder p_acoustic_model_1_0_weight p_acoustic_model_1_0_weight () {} 2025-06-05T19:10:54.3144880Z placeholder p_acoustic_model_1_0_bias p_acoustic_model_1_0_bias () {} 2025-06-05T19:10:54.3145480Z placeholder p_acoustic_model_1_2_weight p_acoustic_model_1_2_weight () {} 2025-06-05T19:10:54.3146080Z placeholder p_acoustic_model_1_2_bias p_acoustic_model_1_2_bias () {} 2025-06-05T19:10:54.3146670Z placeholder p_acoustic_model_1_4_weight p_acoustic_model_1_4_weight () {} 2025-06-05T19:10:54.3147310Z placeholder p_acoustic_model_1_4_bias p_acoustic_model_1_4_bias () {} 2025-06-05T19:10:54.3147920Z placeholder p_acoustic_model_1_6_weight p_acoustic_model_1_6_weight () {} 2025-06-05T19:10:54.3148520Z placeholder p_acoustic_model_1_6_bias p_acoustic_model_1_6_bias () {} 2025-06-05T19:10:54.3149150Z placeholder p_acoustic_model_1_8_weight p_acoustic_model_1_8_weight () {} 2025-06-05T19:10:54.3149770Z placeholder p_acoustic_model_1_8_bias p_acoustic_model_1_8_bias () {} 2025-06-05T19:10:54.3150380Z placeholder p_acoustic_model_1_10_weight p_acoustic_model_1_10_weight () {} 2025-06-05T19:10:54.9749530Z placeholder p_acoustic_model_1_10_bias p_acoustic_model_1_10_bias () {} 2025-06-05T19:10:54.9750230Z placeholder p_acoustic_model_1_12_weight p_acoustic_model_1_12_weight () {} 2025-06-05T19:10:54.9750890Z placeholder p_acoustic_model_1_12_bias p_acoustic_model_1_12_bias () {} 2025-06-05T19:10:54.9751520Z placeholder p_acoustic_model_1_14_weight p_acoustic_model_1_14_weight () {} 2025-06-05T19:10:54.9752560Z placeholder p_acoustic_model_1_14_bias p_acoustic_model_1_14_bias () {} 2025-06-05T19:10:54.9753190Z placeholder p_acoustic_model_1_16_weight p_acoustic_model_1_16_weight () {} 2025-06-05T19:10:54.9753930Z placeholder p_acoustic_model_1_16_bias p_acoustic_model_1_16_bias () {} 2025-06-05T19:10:54.9754550Z placeholder p_acoustic_model_1_18_weight p_acoustic_model_1_18_weight () {} 2025-06-05T19:10:54.9755220Z placeholder p_acoustic_model_1_18_bias p_acoustic_model_1_18_bias () {} 2025-06-05T19:10:54.9755890Z placeholder p_acoustic_model_1_20_weight p_acoustic_model_1_20_weight () {} 2025-06-05T19:10:54.9756500Z placeholder p_acoustic_model_1_20_bias p_acoustic_model_1_20_bias () {} 2025-06-05T19:10:54.9757000Z placeholder x x () {} 2025-06-05T19:10:54.9758090Z call_function aten_convolution_default : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (x, p_acoustic_model_0_0_weight, p_acoustic_model_0_0_bias, [160], [45], [1], False, [0], 1) {} 2025-06-05T19:10:54.9759410Z call_function aten_relu_default : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default,) {} 2025-06-05T19:10:54.9760780Z call_function aten_convolution_default_1 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default, p_acoustic_model_1_0_weight, p_acoustic_model_1_0_bias, [2], [23], [1], False, [0], 1) {} 2025-06-05T19:10:54.9762120Z call_function aten_relu_default_1 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_1,) {} 2025-06-05T19:10:54.9763490Z call_function aten_convolution_default_2 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_1, p_acoustic_model_1_2_weight, p_acoustic_model_1_2_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9764780Z call_function aten_relu_default_2 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_2,) {} 2025-06-05T19:10:54.9766110Z call_function aten_convolution_default_3 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_2, p_acoustic_model_1_4_weight, p_acoustic_model_1_4_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9767430Z call_function aten_relu_default_3 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_3,) {} 2025-06-05T19:10:54.9768710Z call_function aten_convolution_default_4 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_3, p_acoustic_model_1_6_weight, p_acoustic_model_1_6_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9770000Z call_function aten_relu_default_4 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_4,) {} 2025-06-05T19:10:54.9771270Z call_function aten_convolution_default_5 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_4, p_acoustic_model_1_8_weight, p_acoustic_model_1_8_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9772580Z call_function aten_relu_default_5 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_5,) {} 2025-06-05T19:10:54.9773870Z call_function aten_convolution_default_6 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_5, p_acoustic_model_1_10_weight, p_acoustic_model_1_10_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9775150Z call_function aten_relu_default_6 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_6,) {} 2025-06-05T19:10:54.9776490Z call_function aten_convolution_default_7 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_6, p_acoustic_model_1_12_weight, p_acoustic_model_1_12_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9777850Z call_function aten_relu_default_7 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_7,) {} 2025-06-05T19:10:54.9779160Z call_function aten_convolution_default_8 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_7, p_acoustic_model_1_14_weight, p_acoustic_model_1_14_bias, [1], [3], [1], False, [0], 1) {} 2025-06-05T19:10:54.9780480Z call_function aten_relu_default_8 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_8,) {} 2025-06-05T19:10:54.9781810Z call_function aten_convolution_default_9 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_8, p_acoustic_model_1_16_weight, p_acoustic_model_1_16_bias, [1], [16], [1], False, [0], 1) {} 2025-06-05T19:10:54.9783150Z call_function aten_relu_default_9 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_9,) {} 2025-06-05T19:10:54.9784440Z call_function aten_convolution_default_10 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_9, p_acoustic_model_1_18_weight, p_acoustic_model_1_18_bias, [1], [0], [1], False, [0], 1) {} 2025-06-05T19:10:54.9785750Z call_function aten_relu_default_10 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_10,) {} 2025-06-05T19:10:54.9787000Z call_function aten_convolution_default_11 : schema = aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor (aten_relu_default_10, p_acoustic_model_1_20_weight, p_acoustic_model_1_20_bias, [1], [0], [1], False, [0], 1) {} 2025-06-05T19:10:54.9788270Z call_function aten_relu_default_11 : schema = aten::relu(Tensor self) -> Tensor (aten_convolution_default_11,) {} 2025-06-05T19:10:54.9789210Z call_function aten__log_softmax_default : schema = aten::_log_softmax(Tensor self, int dim, bool half_to_float) -> Tensor (aten_relu_default_11, 1, False) {} 2025-06-05T19:10:54.9790000Z output output output ([aten__log_softmax_default],) {} 2025-06-05T19:10:54.9790410Z ++ find . -type f -name 'w2l*.pte' -print -quit 2025-06-05T19:10:54.9790610Z + EXPORTED_MODEL=./w2l_coreml_all_float16.pte 2025-06-05T19:10:54.9790790Z + [[ 0 -eq 0 ]] 2025-06-05T19:10:54.9790910Z + prepare_artifacts_upload 2025-06-05T19:10:54.9791050Z + '[' -n '' ']' 2025-06-05T19:10:54.9791320Z ##[endgroup] 2025-06-05T19:10:54.9838210Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1 2025-06-05T19:10:54.9838490Z with: 2025-06-05T19:10:54.9838640Z path: /Users/ec2-user/runner/_work/_temp/test-results 2025-06-05T19:10:54.9838830Z fail-on-empty: false 2025-06-05T19:10:54.9838960Z env: 2025-06-05T19:10:54.9839070Z REPOSITORY: pytorch/executorch 2025-06-05T19:10:54.9840930Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T19:10:54.9843210Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T19:10:54.9843860Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T19:10:54.9844160Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:54.9844510Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:54.9845030Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T19:10:54.9845730Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:54.9846220Z RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts 2025-06-05T19:10:54.9846520Z RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results 2025-06-05T19:10:54.9846750Z ##[endgroup] 2025-06-05T19:10:55.0532190Z Prepare all required actions 2025-06-05T19:10:55.0557740Z ##[group]Run ./test-infra/.github/actions/check-disk-space 2025-06-05T19:10:55.0557980Z with: 2025-06-05T19:10:55.0558120Z minimum-available-space-in-gb: 6 2025-06-05T19:10:55.0558290Z env: 2025-06-05T19:10:55.0558430Z REPOSITORY: pytorch/executorch 2025-06-05T19:10:55.0560310Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T19:10:55.0562590Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T19:10:55.0563340Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T19:10:55.0563660Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0564050Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0564610Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T19:10:55.0574600Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0575130Z RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts 2025-06-05T19:10:55.0575450Z RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results 2025-06-05T19:10:55.0575710Z ##[endgroup] 2025-06-05T19:10:55.0585980Z ##[group]Run echo "Print the available disk space for manual inspection" 2025-06-05T19:10:55.0586360Z echo "Print the available disk space for manual inspection" 2025-06-05T19:10:55.0586570Z df -h 2025-06-05T19:10:55.0586710Z  2025-06-05T19:10:55.0586830Z function check_disk_space() { 2025-06-05T19:10:55.0586990Z  set +e 2025-06-05T19:10:55.0587090Z  2025-06-05T19:10:55.0587240Z  # Set the minimum requirement space to 6GB 2025-06-05T19:10:55.0587540Z  MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024)) 2025-06-05T19:10:55.0587810Z  2025-06-05T19:10:55.0587960Z  # Use KB to avoid floating point warning like 3.1GB 2025-06-05T19:10:55.0588210Z  df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE; 2025-06-05T19:10:55.0588410Z  do 2025-06-05T19:10:55.0588550Z  AVAIL=$(echo $LINE | cut -f1 -d' ') 2025-06-05T19:10:55.0588740Z  MOUNT=$(echo $LINE | cut -f2 -d' ') 2025-06-05T19:10:55.0588920Z  2025-06-05T19:10:55.0589040Z  if [ "${MOUNT}" = "/" ]; then 2025-06-05T19:10:55.0589270Z  if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then 2025-06-05T19:10:55.0589750Z  echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}" 2025-06-05T19:10:55.0590160Z  else 2025-06-05T19:10:55.0590660Z  echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue" 2025-06-05T19:10:55.0591000Z  fi 2025-06-05T19:10:55.0591120Z  fi 2025-06-05T19:10:55.0591230Z  done 2025-06-05T19:10:55.0591330Z  2025-06-05T19:10:55.0591430Z  set -e 2025-06-05T19:10:55.0591550Z } 2025-06-05T19:10:55.0591650Z  2025-06-05T19:10:55.0591780Z RESULT=$(check_disk_space) 2025-06-05T19:10:55.0591940Z echo "${RESULT}" 2025-06-05T19:10:55.0592070Z  2025-06-05T19:10:55.0592250Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then 2025-06-05T19:10:55.0592720Z  # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space 2025-06-05T19:10:55.0593180Z  # https://github.com/pytorch/pytorch/issues/85440 2025-06-05T19:10:55.0593490Z  sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true 2025-06-05T19:10:55.0593950Z  # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file 2025-06-05T19:10:55.0594360Z  sudo launchctl stop com.apple.coresymbolicationd || true 2025-06-05T19:10:55.0594620Z  2025-06-05T19:10:55.0594750Z  # Clean up crash reports on the runner 2025-06-05T19:10:55.0595020Z  sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true 2025-06-05T19:10:55.0595270Z  2025-06-05T19:10:55.0595420Z  # Also try to clean up torch.hub caching directory 2025-06-05T19:10:55.0595650Z  rm -rf "${HOME}/.cache/torch/hub" || true 2025-06-05T19:10:55.0595830Z  2025-06-05T19:10:55.0595930Z  # Purge conda 2025-06-05T19:10:55.0596080Z  conda clean -p -t -y || true 2025-06-05T19:10:55.0596260Z  # and pip cache 2025-06-05T19:10:55.0596410Z  pip cache purge || true 2025-06-05T19:10:55.0596560Z  2025-06-05T19:10:55.0596740Z  echo "Re-run disk space check for ${RUNNER_OS} after cleaning up" 2025-06-05T19:10:55.0596970Z  # Re-run the check 2025-06-05T19:10:55.0597120Z  RESULT=$(check_disk_space) 2025-06-05T19:10:55.0597300Z  echo "${RESULT}" 2025-06-05T19:10:55.0597430Z fi 2025-06-05T19:10:55.0597530Z  2025-06-05T19:10:55.0597670Z if [[ "${RESULT}" == *Failure* ]]; then 2025-06-05T19:10:55.0597860Z  df -h 2025-06-05T19:10:55.0597970Z  2025-06-05T19:10:55.0598380Z  echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run." 2025-06-05T19:10:55.0598820Z  exit 1 2025-06-05T19:10:55.0598950Z fi 2025-06-05T19:10:55.0623410Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T19:10:55.0623600Z env: 2025-06-05T19:10:55.0623740Z REPOSITORY: pytorch/executorch 2025-06-05T19:10:55.0625570Z SCRIPT: BUILD_TOOL=cmake bash .ci/scripts/setup-conda.sh # Setup MacOS dependencies as there is no Docker support on MacOS atm PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash backends/apple/coreml/scripts/install_requirements.sh echo "Finishing installing coreml." # Build and test coreml model MODELS=(mv3 ic4 resnet50 edsr mobilebert w2l) for MODEL_NAME in "${MODELS[@]}"; do echo "::group::Exporting coreml model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "coreml" echo "::endgroup::" echo "::group::Exporting mps model: $MODEL_NAME" PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "mps" echo "::endgroup::" done 2025-06-05T19:10:55.0627950Z PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin 2025-06-05T19:10:55.0628660Z CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda 2025-06-05T19:10:55.0628970Z CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0629330Z CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0629870Z CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 --no-capture-output 2025-06-05T19:10:55.0630580Z CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15475023371 2025-06-05T19:10:55.0631090Z RUNNER_ARTIFACT_DIR: /Users/ec2-user/runner/_work/_temp/artifacts 2025-06-05T19:10:55.0631400Z RUNNER_TEST_RESULTS_DIR: /Users/ec2-user/runner/_work/_temp/test-results 2025-06-05T19:10:55.0631670Z MINIMUM_AVAILABLE_SPACE_IN_GB: 6 2025-06-05T19:10:55.0631840Z ##[endgroup] 2025-06-05T19:10:55.0854680Z Print the available disk space for manual inspection 2025-06-05T19:10:55.0879700Z Filesystem Size Used Avail Capacity iused ifree %iused Mounted on 2025-06-05T19:10:55.0880200Z /dev/disk5s2s1 256Gi 9.5Gi 207Gi 5% 404k 2.2G 0% / 2025-06-05T19:10:55.0880860Z devfs 217Ki 217Ki 0Bi 100% 752 0 100% /dev 2025-06-05T19:10:55.0881200Z /dev/disk5s5 256Gi 1.0Gi 207Gi 1% 1 2.2G 0% /System/Volumes/VM 2025-06-05T19:10:55.0881580Z /dev/disk5s3 256Gi 5.7Gi 207Gi 3% 1.0k 2.2G 0% /System/Volumes/Preboot 2025-06-05T19:10:55.0881970Z /dev/disk1s2 500Mi 6.0Mi 387Mi 2% 1 4.0M 0% /System/Volumes/xarts 2025-06-05T19:10:55.0882330Z /dev/disk1s1 500Mi 53Mi 387Mi 13% 61 4.0M 0% /System/Volumes/iSCPreboot 2025-06-05T19:10:55.0882750Z /dev/disk1s3 500Mi 872Ki 387Mi 1% 51 4.0M 0% /System/Volumes/Hardware 2025-06-05T19:10:55.0883110Z /dev/disk5s1 256Gi 31Gi 207Gi 14% 955k 2.2G 0% /System/Volumes/Data 2025-06-05T19:10:55.0883490Z map auto_home 0Bi 0Bi 0Bi 100% 0 0 - /System/Volumes/Data/home 2025-06-05T19:10:55.0883850Z /dev/disk3s4 228Gi 120Ki 210Gi 1% 18 2.2G 0% /private/tmp/tmp-mount-xm8WB8 2025-06-05T19:10:55.1256700Z Success: There is 217312752KB free space left in / for macOS, continue 2025-06-05T19:10:55.1310800Z Post job cleanup. 2025-06-05T19:10:55.2142710Z [command]/usr/bin/git version 2025-06-05T19:10:55.2253910Z git version 2.39.3 (Apple Git-146) 2025-06-05T19:10:55.2272720Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/d7a0dfd0-1734-4639-b7f2-07c6e710457f/.gitconfig' 2025-06-05T19:10:55.2278630Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/d7a0dfd0-1734-4639-b7f2-07c6e710457f' before making global git config changes 2025-06-05T19:10:55.2279210Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T19:10:55.2281100Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T19:10:55.2358710Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T19:10:55.2421420Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-06-05T19:10:55.3050410Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T19:10:55.3178380Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T19:10:55.3319970Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T19:10:55.3463860Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T19:10:55.3588640Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T19:10:55.3706820Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T19:10:55.3831380Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T19:10:55.3953790Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T19:10:55.4074510Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T19:10:55.4195860Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T19:10:55.4466980Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T19:10:55.4605650Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T19:10:55.4723890Z Entering 'extension/llm/tokenizers' 2025-06-05T19:10:55.4847720Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T19:10:55.4987280Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T19:10:55.5125080Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T19:10:55.5268940Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T19:10:55.5391770Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T19:10:55.5513350Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T19:10:55.5637950Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T19:10:55.5789210Z Entering 'shim' 2025-06-05T19:10:55.5919940Z Entering 'third-party/ao' 2025-06-05T19:10:55.6068560Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T19:10:55.6271600Z Entering 'third-party/flatbuffers' 2025-06-05T19:10:55.6425780Z Entering 'third-party/flatcc' 2025-06-05T19:10:55.6554940Z Entering 'third-party/gflags' 2025-06-05T19:10:55.6671580Z Entering 'third-party/googletest' 2025-06-05T19:10:55.6793710Z Entering 'third-party/ios-cmake' 2025-06-05T19:10:55.6914980Z Entering 'third-party/json' 2025-06-05T19:10:55.7052770Z Entering 'third-party/pocketfft' 2025-06-05T19:10:55.7172220Z Entering 'third-party/prelude' 2025-06-05T19:10:55.7320350Z Entering 'third-party/pybind11' 2025-06-05T19:10:55.7445280Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T19:10:55.7499220Z http.https://github.com/.extraheader 2025-06-05T19:10:55.7506000Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-06-05T19:10:55.7580330Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-06-05T19:10:55.8053710Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-06-05T19:10:55.8122750Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8191820Z Entering 'backends/arm/third-party/serialization_lib' 2025-06-05T19:10:55.8259400Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8327420Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T19:10:55.8396960Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8475500Z Entering 'backends/cadence/utils/FACTO' 2025-06-05T19:10:55.8541250Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8605990Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T19:10:55.8670310Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8737960Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T19:10:55.8803650Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8868290Z Entering 'backends/vulkan/third-party/volk' 2025-06-05T19:10:55.8932430Z http.https://github.com/.extraheader 2025-06-05T19:10:55.8997180Z Entering 'backends/xnnpack/third-party/FP16' 2025-06-05T19:10:55.9061350Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9125990Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-06-05T19:10:55.9195830Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9264050Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T19:10:55.9333450Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9404390Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T19:10:55.9471030Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9535760Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T19:10:55.9601020Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9668690Z Entering 'extension/llm/tokenizers' 2025-06-05T19:10:55.9732930Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9797430Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T19:10:55.9862340Z http.https://github.com/.extraheader 2025-06-05T19:10:55.9927650Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T19:10:55.9991510Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0057780Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T19:10:56.0122920Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0187170Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T19:10:56.0251280Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0317230Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T19:10:56.0381210Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0445630Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T19:10:56.0511240Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0578170Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T19:10:56.0643570Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0708000Z Entering 'shim' 2025-06-05T19:10:56.0771100Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0835670Z Entering 'third-party/ao' 2025-06-05T19:10:56.0900680Z http.https://github.com/.extraheader 2025-06-05T19:10:56.0965440Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T19:10:56.1029220Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1097090Z Entering 'third-party/flatbuffers' 2025-06-05T19:10:56.1162620Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1227030Z Entering 'third-party/flatcc' 2025-06-05T19:10:56.1290840Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1359740Z Entering 'third-party/gflags' 2025-06-05T19:10:56.1428070Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1496330Z Entering 'third-party/googletest' 2025-06-05T19:10:56.1566720Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1635230Z Entering 'third-party/ios-cmake' 2025-06-05T19:10:56.1701850Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1766040Z Entering 'third-party/json' 2025-06-05T19:10:56.1831460Z http.https://github.com/.extraheader 2025-06-05T19:10:56.1895480Z Entering 'third-party/pocketfft' 2025-06-05T19:10:56.1960320Z http.https://github.com/.extraheader 2025-06-05T19:10:56.2024160Z Entering 'third-party/prelude' 2025-06-05T19:10:56.2088000Z http.https://github.com/.extraheader 2025-06-05T19:10:56.2152780Z Entering 'third-party/pybind11' 2025-06-05T19:10:56.2216780Z http.https://github.com/.extraheader 2025-06-05T19:10:56.2395130Z Post job cleanup. 2025-06-05T19:10:56.3418120Z Post job cleanup. 2025-06-05T19:10:56.4483880Z Cache hit occurred on the primary key miniconda-env-macOS-ARM64-3.11--20250605d--, not saving cache. 2025-06-05T19:10:56.4527530Z Post job cleanup. 2025-06-05T19:10:56.5452760Z Cache hit occurred on the primary key miniconda-24.7.1-0-macOS-ARM64-3.11--20250605d, not saving cache. 2025-06-05T19:10:56.5510410Z Post job cleanup. 2025-06-05T19:10:56.6228000Z [command]/usr/bin/git version 2025-06-05T19:10:56.6295170Z git version 2.39.3 (Apple Git-146) 2025-06-05T19:10:56.6314130Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/f9dddc64-aed8-437f-b2f3-bc97647ffe96/.gitconfig' 2025-06-05T19:10:56.6320760Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/f9dddc64-aed8-437f-b2f3-bc97647ffe96' before making global git config changes 2025-06-05T19:10:56.6321380Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T19:10:56.6323390Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/executorch/executorch/test-infra 2025-06-05T19:10:56.6418050Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T19:10:56.6479820Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-06-05T19:10:56.7030710Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T19:10:56.7085390Z http.https://github.com/.extraheader 2025-06-05T19:10:56.7092730Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-06-05T19:10:56.7174630Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-06-05T19:10:56.7704750Z A job completed hook has been configured by the self-hosted runner administrator 2025-06-05T19:10:56.7730710Z ##[group]Run '/opt/runner_scripts/post-job.sh' 2025-06-05T19:10:56.7746010Z shell: /bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T19:10:56.7746220Z ##[endgroup] 2025-06-05T19:10:56.8034300Z + df -h 2025-06-05T19:10:56.8053340Z + ls -t /var/log/post_job 2025-06-05T19:10:56.8053580Z + awk 'NR>100' 2025-06-05T19:10:56.8054230Z + xargs rm -fv 2025-06-05T19:10:56.8061140Z + Checking if runner needs to be terminated...ok 2025-06-05T19:10:56.8061410Z + Outputting disk space 2025-06-05T19:10:56.8062260Z Filesystem Size Used Avail Capacity iused ifree %iused Mounted on 2025-06-05T19:10:56.8062610Z /dev/disk5s2s1 256Gi 9.5Gi 207Gi 5% 404k 2.2G 0% / 2025-06-05T19:10:56.8062920Z devfs 217Ki 217Ki 0Bi 100% 752 0 100% /dev 2025-06-05T19:10:56.8063300Z /dev/disk5s5 256Gi 1.0Gi 207Gi 1% 1 2.2G 0% /System/Volumes/VM 2025-06-05T19:10:56.8063670Z /dev/disk5s3 256Gi 5.7Gi 207Gi 3% 1.0k 2.2G 0% /System/Volumes/Preboot 2025-06-05T19:10:56.8064060Z /dev/disk1s2 500Mi 6.0Mi 387Mi 2% 1 4.0M 0% /System/Volumes/xarts 2025-06-05T19:10:56.8064430Z /dev/disk1s1 500Mi 53Mi 387Mi 13% 61 4.0M 0% /System/Volumes/iSCPreboot 2025-06-05T19:10:56.8064800Z /dev/disk1s3 500Mi 872Ki 387Mi 1% 51 4.0M 0% /System/Volumes/Hardware 2025-06-05T19:10:56.8065170Z /dev/disk5s1 256Gi 31Gi 207Gi 14% 955k 2.2G 0% /System/Volumes/Data 2025-06-05T19:10:56.8065520Z map auto_home 0Bi 0Bi 0Bi 100% 0 0 - /System/Volumes/Data/home 2025-06-05T19:10:56.8065890Z /dev/disk3s4 228Gi 120Ki 210Gi 1% 18 2.2G 0% /private/tmp/tmp-mount-xm8WB8 2025-06-05T19:10:56.8066210Z + Cleaning up old logs (Keep the latest 100) 2025-06-05T19:10:56.8237710Z + Restoring SSH key to be the skeleton key 2025-06-05T19:10:56.8339710Z Cleaning up orphan processes 2025-06-05T19:10:57.1294050Z Terminate orphan process: pid (79041) (buck2) 2025-06-05T19:10:57.1530230Z Terminate orphan process: pid (79040) (buck2) 2025-06-05T19:10:57.1765180Z Terminate orphan process: pid (72001) (sccache)