../../../bin/convert-caffe2-to-onnx,sha256=eTxX7bADLSu2qe91FV-YtB4J7UniibMLYar2rhUEwdg,535
../../../bin/convert-onnx-to-caffe2,sha256=eaASOLjIKF7RSC8Ks7Va7FXOe2FT3azw0TSogMnq6pY,535
caffe2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/aten/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/aten/__pycache__/aten_test.cpython-38.pyc,,
caffe2/contrib/aten/__pycache__/gen_op.cpython-38.pyc,,
caffe2/contrib/aten/aten_test.py,sha256=QlsZKjedIm9kWcOgH0EnP5QhvkkcZDXV6_6GZksj4uI,3298
caffe2/contrib/aten/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/docs/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/aten/docs/__pycache__/sample.cpython-38.pyc,,
caffe2/contrib/aten/docs/sample.py,sha256=BkvNQAGw2nduwumSexmnj7r0yrZxtlUQh_XaU60wQKA,1622
caffe2/contrib/aten/gen_op.py,sha256=HC9qKwMuiF6B-eDIYAswAQNXWvEdxQxvvl04F0o39jw,11059
caffe2/contrib/gloo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/gloo/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/gloo/__pycache__/gloo_test.cpython-38.pyc,,
caffe2/contrib/gloo/gloo_test.py,sha256=95zjMW4vE78RqQGduroX3rhR2Zv8PrOL9AXFw3h_kDo,25160
caffe2/contrib/nccl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nccl/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/nccl/__pycache__/nccl_ops_test.cpython-38.pyc,,
caffe2/contrib/nccl/nccl_ops_test.py,sha256=HQYEMI85CRE-qMjIfdD3amSnBU0z4mggspFlWMZ8OaA,8291
caffe2/contrib/nnpack/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nnpack/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/nnpack/__pycache__/nnpack_ops_test.cpython-38.pyc,,
caffe2/contrib/nnpack/nnpack_ops_test.py,sha256=HE61tw7pfghDLFX0ZbmwT74fS7tw-01ziRy4MF5ilIE,8292
caffe2/contrib/playground/AnyExp.py,sha256=lUIFASUgHsWJYnebhrX-xmkcTHpio1tdakhAGRMXVPk,18113
caffe2/contrib/playground/AnyExpOnTerm.py,sha256=B1L5L7qpLEGZeZFA3HQQS4ePY24aVUeW6mMk5azSsLk,3491
caffe2/contrib/playground/ModuleRegister.py,sha256=dDrHUZqLjP5ly1lzKu9of0raO30OreO0RXGMoHkBV0g,4916
caffe2/contrib/playground/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/__pycache__/AnyExp.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/AnyExpOnTerm.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/ModuleRegister.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/checkpoint.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/compute_loss.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/compute_topk_accuracy.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/meter.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/module_map.cpython-38.pyc,,
caffe2/contrib/playground/__pycache__/output_generator.cpython-38.pyc,,
caffe2/contrib/playground/checkpoint.py,sha256=39TDKfpKaCOEUlPvMWTKcIfVFZIrHrGJhjLzxvWrvM0,7037
caffe2/contrib/playground/compute_loss.py,sha256=OnfQrc_xLFT8IbQMvw73ZutA5QQessZb9HgCOdxLI-w,1110
caffe2/contrib/playground/compute_topk_accuracy.py,sha256=LW5lUddkgNB94m6CBOPD8w570Fd8_SjKWChbtVgC3mM,2334
caffe2/contrib/playground/meter.py,sha256=ORSfuPBs-wdup2sHG0VlIrcUHVFNVd7SKeQu69oUsyA,437
caffe2/contrib/playground/module_map.py,sha256=a7_FqbnItJt787Cw6zkTOurwlhCztR3Brj-5-QL513Q,1572
caffe2/contrib/playground/output_generator.py,sha256=XykOfOgp008YR0BVF7CL_tQNYyFeeW67NzFTsVLoKO8,623
caffe2/contrib/playground/resnetdemo/IN1k_resnet.py,sha256=Hctgj3FYovjQcDEs4_UHZwrqQQXDy_awv4krt6VztuM,1643
caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py,sha256=25UdKU5tG7VptA0v1_dwWXcVC-fZdjwLT_xGPFA3toQ,2025
caffe2/contrib/playground/resnetdemo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet_no_test_model.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_forward.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_param_update.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_forward.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_param_update.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/gfs_IN1k.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/override_no_test_model_no_checkpoint.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/rendezvous_filestore.cpython-38.pyc,,
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py,sha256=jnmm2HAHH5pdpWCU4VuDHXKx1KCf9H4VIppwxXOcaSs,798
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_param_update.py,sha256=GJoUueKNMQ1mIvkLMfZ82p7zcCv4liHUcgyqX1vADZA,1476
caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py,sha256=im_sqfZKO89jvKQtPX4LDBubKSgPndXWZN4sCQx7Wc4,11636
caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py,sha256=Gwk-dgTLZMbegIYzvjj6MZefD--Dokj_GtGcgr4mmDA,2413
caffe2/contrib/playground/resnetdemo/gfs_IN1k.py,sha256=h-ZrumNHcY539zIsfYBD4m8ybZBDEnhwmEfSnTBNypw,1551
caffe2/contrib/playground/resnetdemo/override_no_test_model_no_checkpoint.py,sha256=fmCJfeHdN_iOKQqVsT7lV5oumWUEnVlU7HaHhXCmKps,452
caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py,sha256=xcfZnIIk9oUjbfRZT1S_ZchN8he1S8hcuy0fqEo-OG0,1561
caffe2/contrib/prof/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/prof/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/prof/__pycache__/cuda_profile_ops_test.cpython-38.pyc,,
caffe2/contrib/prof/cuda_profile_ops_test.py,sha256=PYffEu1WzDL56f9C-0Hyl7L7h7pihfL1A6J-eHr5iRE,849
caffe2/contrib/script/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/script/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/examples/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/tensorboard/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/tensorboard/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard.cpython-38.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter.cpython-38.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter_test.cpython-38.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_test.cpython-38.pyc,,
caffe2/contrib/tensorboard/tensorboard.py,sha256=-xJO-OWkcQEhB2P1SrRyyIbN818a63npUONj0G1jktg,6366
caffe2/contrib/tensorboard/tensorboard_exporter.py,sha256=Xd5saQpffJEI348PufYRUsSZNJswWPKsLG-yuSBLKNc,9976
caffe2/contrib/tensorboard/tensorboard_exporter_test.py,sha256=K8LOJLU-U6f116eyWvPKcpMNno8t45_3kmb4Fg5-sCI,13996
caffe2/contrib/tensorboard/tensorboard_test.py,sha256=GloXWly1mlsg_9RGUkd6WydlJbVEuB0IN59ehjLNDNs,4301
caffe2/contrib/warpctc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/warpctc/__pycache__/__init__.cpython-38.pyc,,
caffe2/contrib/warpctc/__pycache__/ctc_ops_test.cpython-38.pyc,,
caffe2/contrib/warpctc/ctc_ops_test.py,sha256=SvwJQ_NMro5_Magb-xAD61OCDT-rq1xGgrwrpiiTfaQ,4021
caffe2/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/__pycache__/__init__.cpython-38.pyc,,
caffe2/core/nomnigraph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/nomnigraph/__pycache__/__init__.cpython-38.pyc,,
caffe2/core/nomnigraph/__pycache__/op_gen.cpython-38.pyc,,
caffe2/core/nomnigraph/op_gen.py,sha256=hrev2FdzXuhwJPe4zGsAfyAgeTM7AicbRC1sSIXf4Rk,7708
caffe2/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/distributed/__pycache__/__init__.cpython-38.pyc,,
caffe2/distributed/__pycache__/file_store_handler_op_test.cpython-38.pyc,,
caffe2/distributed/__pycache__/redis_store_handler_op_test.cpython-38.pyc,,
caffe2/distributed/__pycache__/store_ops_test_util.cpython-38.pyc,,
caffe2/distributed/file_store_handler_op_test.py,sha256=9p0tA9t3lOD-v-lvoWzo0kvjNBqLJjIYb0WsnDwthOo,1891
caffe2/distributed/redis_store_handler_op_test.py,sha256=wrOIGCP0SIvYLxwvTfmf6jPKHHDrdSxVRRA1VZ4EBFU,1452
caffe2/distributed/store_ops_test_util.py,sha256=voWb_C1lR8PkZeHBTqwAax-K5yHP7jVuoqdqeH6oyok,2358
caffe2/experiments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/__pycache__/__init__.cpython-38.pyc,,
caffe2/experiments/python/SparseTransformer.py,sha256=cH16TIoPEKhasdjIQ7nNhz48w4dlQnlyWYMt_ksrxSQ,7033
caffe2/experiments/python/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/python/__pycache__/SparseTransformer.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/__init__.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/convnet_benchmarks.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/device_reduce_sum_bench.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/funhash_op_test.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/net_construct_bench.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/sparse_funhash_op_test.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/sparse_reshape_op_test.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/tt_contraction_op_test.cpython-38.pyc,,
caffe2/experiments/python/__pycache__/tt_pad_op_test.cpython-38.pyc,,
caffe2/experiments/python/convnet_benchmarks.py,sha256=gF8CXBFpharh2wXZ0dIIwkunnmH-qks74mtkOTls3g8,20547
caffe2/experiments/python/device_reduce_sum_bench.py,sha256=eUoE-WBaDATp7OspwfRMw6l9oYOMjnDoKsc0EqDzNtY,4091
caffe2/experiments/python/funhash_op_test.py,sha256=bdC2zAMOLYgHhlhT1WgL8IOCuOxNdNhGH2QSn15hlCs,2885
caffe2/experiments/python/net_construct_bench.py,sha256=ev1QlGN2qsBp83vlfVPOVWsGitfDxkdmKiYbHK_dl_Q,4268
caffe2/experiments/python/sparse_funhash_op_test.py,sha256=KJfFm_GmUv6Du6BcVyS-DukRf1AmK48aLMUJW57LlNo,2647
caffe2/experiments/python/sparse_reshape_op_test.py,sha256=4El0Uh0PsK8LH_B8yP0RXsfnzFArPFIBAPIdS-30wA0,3557
caffe2/experiments/python/tt_contraction_op_test.py,sha256=aKKcnCBgg5ZC64EOKdW7AG10Q6nLD0RqqSVnE4Z6eL0,2244
caffe2/experiments/python/tt_pad_op_test.py,sha256=ZKkFc1c1fc4u3w_tjwVkQNj7eun9D11FtnbS9WfjNt8,2089
caffe2/perfkernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/perfkernels/__pycache__/__init__.cpython-38.pyc,,
caffe2/perfkernels/__pycache__/hp_emblookup_codegen.cpython-38.pyc,,
caffe2/perfkernels/hp_emblookup_codegen.py,sha256=v9OE1QpqV-B0kDxKfbNgyDXqQrlPUkK2IofQukebafQ,18735
caffe2/proto/__init__.py,sha256=R_wGqgVfEEk7RvBNWCSmb7XsCP3D7nuA4U5618Dc7Rk,782
caffe2/proto/__pycache__/__init__.cpython-38.pyc,,
caffe2/proto/__pycache__/caffe2_legacy_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/caffe2_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/hsm_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/metanet_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/predictor_consts_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/prof_dag_pb2.cpython-38.pyc,,
caffe2/proto/__pycache__/torch_pb2.cpython-38.pyc,,
caffe2/proto/caffe2_legacy_pb2.py,sha256=f-2HtkjeIEbUY-OFdzDjQVmCtMj1BYhZD-vJ6PCZyjA,5557
caffe2/proto/caffe2_pb2.py,sha256=SgcaRUDpDTOS2r9ulAktRI55NA7-ulZfgF-CyxbXc94,70916
caffe2/proto/hsm_pb2.py,sha256=RndG9CTa52bmOj2Boxih0l5533svk81Lq3xmxjfhlYQ,9996
caffe2/proto/metanet_pb2.py,sha256=2M-okmtxsV9SCGvZIQIy5ilj1tP8PXqSWY19Pv_HYZM,13299
caffe2/proto/predictor_consts_pb2.py,sha256=jTCGKzRYk1_LcQJZvyqoQGWywUKWHC4-GX_OEJKrZYo,7471
caffe2/proto/prof_dag_pb2.py,sha256=cC0m2Abmlj5v5_oU31cdBhxgLCRZt0AM4t6MN-6ItWI,12501
caffe2/proto/torch_pb2.py,sha256=0LWC4LGTBJ7cXuzeaZhEwTyj-ISeY4u0iD_Kp5z0ADQ,21886
caffe2/python/__init__.py,sha256=eliFpJfNmmkkI9GsvI8X8tMlwsn0X9gFkE3Xo5lVF0U,1379
caffe2/python/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/__pycache__/_import_c_extension.cpython-38.pyc,,
caffe2/python/__pycache__/allcompare_test.cpython-38.pyc,,
caffe2/python/__pycache__/attention.cpython-38.pyc,,
caffe2/python/__pycache__/benchmark_generator.cpython-38.pyc,,
caffe2/python/__pycache__/binarysize.cpython-38.pyc,,
caffe2/python/__pycache__/brew.cpython-38.pyc,,
caffe2/python/__pycache__/brew_test.cpython-38.pyc,,
caffe2/python/__pycache__/build.cpython-38.pyc,,
caffe2/python/__pycache__/cached_reader.cpython-38.pyc,,
caffe2/python/__pycache__/caffe_translator.cpython-38.pyc,,
caffe2/python/__pycache__/caffe_translator_test.cpython-38.pyc,,
caffe2/python/__pycache__/checkpoint.cpython-38.pyc,,
caffe2/python/__pycache__/checkpoint_test.cpython-38.pyc,,
caffe2/python/__pycache__/cnn.cpython-38.pyc,,
caffe2/python/__pycache__/compatibility.cpython-38.pyc,,
caffe2/python/__pycache__/context.cpython-38.pyc,,
caffe2/python/__pycache__/context_test.cpython-38.pyc,,
caffe2/python/__pycache__/control.cpython-38.pyc,,
caffe2/python/__pycache__/control_ops_grad.cpython-38.pyc,,
caffe2/python/__pycache__/control_ops_grad_test.cpython-38.pyc,,
caffe2/python/__pycache__/control_ops_util.cpython-38.pyc,,
caffe2/python/__pycache__/control_test.cpython-38.pyc,,
caffe2/python/__pycache__/convert.cpython-38.pyc,,
caffe2/python/__pycache__/convert_test.cpython-38.pyc,,
caffe2/python/__pycache__/convnet_benchmarks.cpython-38.pyc,,
caffe2/python/__pycache__/convnet_benchmarks_test.cpython-38.pyc,,
caffe2/python/__pycache__/core.cpython-38.pyc,,
caffe2/python/__pycache__/core_gradients_test.cpython-38.pyc,,
caffe2/python/__pycache__/core_test.cpython-38.pyc,,
caffe2/python/__pycache__/crf.cpython-38.pyc,,
caffe2/python/__pycache__/crf_predict.cpython-38.pyc,,
caffe2/python/__pycache__/crf_viterbi_test.cpython-38.pyc,,
caffe2/python/__pycache__/data_parallel_model.cpython-38.pyc,,
caffe2/python/__pycache__/data_parallel_model_test.cpython-38.pyc,,
caffe2/python/__pycache__/data_workers.cpython-38.pyc,,
caffe2/python/__pycache__/data_workers_test.cpython-38.pyc,,
caffe2/python/__pycache__/dataio.cpython-38.pyc,,
caffe2/python/__pycache__/dataio_test.cpython-38.pyc,,
caffe2/python/__pycache__/dataset.cpython-38.pyc,,
caffe2/python/__pycache__/db_file_reader.cpython-38.pyc,,
caffe2/python/__pycache__/db_test.cpython-38.pyc,,
caffe2/python/__pycache__/device_checker.cpython-38.pyc,,
caffe2/python/__pycache__/dyndep.cpython-38.pyc,,
caffe2/python/__pycache__/embedding_generation_benchmark.cpython-38.pyc,,
caffe2/python/__pycache__/experiment_util.cpython-38.pyc,,
caffe2/python/__pycache__/extension_loader.cpython-38.pyc,,
caffe2/python/__pycache__/filler_test.cpython-38.pyc,,
caffe2/python/__pycache__/functional.cpython-38.pyc,,
caffe2/python/__pycache__/functional_test.cpython-38.pyc,,
caffe2/python/__pycache__/fused_8bit_rowwise_conversion_ops_test.cpython-38.pyc,,
caffe2/python/__pycache__/gradient_check_test.cpython-38.pyc,,
caffe2/python/__pycache__/gradient_checker.cpython-38.pyc,,
caffe2/python/__pycache__/gru_cell.cpython-38.pyc,,
caffe2/python/__pycache__/hip_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/hsm_util.cpython-38.pyc,,
caffe2/python/__pycache__/hypothesis_test.cpython-38.pyc,,
caffe2/python/__pycache__/hypothesis_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/ideep_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/layer_model_helper.cpython-38.pyc,,
caffe2/python/__pycache__/layer_model_instantiator.cpython-38.pyc,,
caffe2/python/__pycache__/layer_parameter_sharing_test.cpython-38.pyc,,
caffe2/python/__pycache__/layer_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/layers_test.cpython-38.pyc,,
caffe2/python/__pycache__/lengths_reducer_fused_8bit_rowwise_ops_test.cpython-38.pyc,,
caffe2/python/__pycache__/lengths_reducer_rowwise_8bit_ops_test.cpython-38.pyc,,
caffe2/python/__pycache__/lstm_benchmark.cpython-38.pyc,,
caffe2/python/__pycache__/memonger.cpython-38.pyc,,
caffe2/python/__pycache__/memonger_test.cpython-38.pyc,,
caffe2/python/__pycache__/mkl_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/model_device_test.cpython-38.pyc,,
caffe2/python/__pycache__/model_helper.cpython-38.pyc,,
caffe2/python/__pycache__/model_helper_test.cpython-38.pyc,,
caffe2/python/__pycache__/modifier_context.cpython-38.pyc,,
caffe2/python/__pycache__/muji.cpython-38.pyc,,
caffe2/python/__pycache__/muji_test.cpython-38.pyc,,
caffe2/python/__pycache__/net_builder.cpython-38.pyc,,
caffe2/python/__pycache__/net_builder_test.cpython-38.pyc,,
caffe2/python/__pycache__/net_drawer.cpython-38.pyc,,
caffe2/python/__pycache__/net_printer.cpython-38.pyc,,
caffe2/python/__pycache__/net_printer_test.cpython-38.pyc,,
caffe2/python/__pycache__/nomnigraph.cpython-38.pyc,,
caffe2/python/__pycache__/nomnigraph_test.cpython-38.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations.cpython-38.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations_test.cpython-38.pyc,,
caffe2/python/__pycache__/normalizer.cpython-38.pyc,,
caffe2/python/__pycache__/normalizer_context.cpython-38.pyc,,
caffe2/python/__pycache__/normalizer_test.cpython-38.pyc,,
caffe2/python/__pycache__/numa_benchmark.cpython-38.pyc,,
caffe2/python/__pycache__/numa_test.cpython-38.pyc,,
caffe2/python/__pycache__/observer_test.cpython-38.pyc,,
caffe2/python/__pycache__/operator_fp_exceptions_test.cpython-38.pyc,,
caffe2/python/__pycache__/optimizer.cpython-38.pyc,,
caffe2/python/__pycache__/optimizer_context.cpython-38.pyc,,
caffe2/python/__pycache__/optimizer_test.cpython-38.pyc,,
caffe2/python/__pycache__/optimizer_test_util.cpython-38.pyc,,
caffe2/python/__pycache__/parallel_workers.cpython-38.pyc,,
caffe2/python/__pycache__/parallel_workers_test.cpython-38.pyc,,
caffe2/python/__pycache__/parallelize_bmuf_distributed_test.cpython-38.pyc,,
caffe2/python/__pycache__/pipeline.cpython-38.pyc,,
caffe2/python/__pycache__/pipeline_test.cpython-38.pyc,,
caffe2/python/__pycache__/predictor_constants.cpython-38.pyc,,
caffe2/python/__pycache__/python_op_test.cpython-38.pyc,,
caffe2/python/__pycache__/queue_util.cpython-38.pyc,,
caffe2/python/__pycache__/record_queue.cpython-38.pyc,,
caffe2/python/__pycache__/recurrent.cpython-38.pyc,,
caffe2/python/__pycache__/regularizer.cpython-38.pyc,,
caffe2/python/__pycache__/regularizer_context.cpython-38.pyc,,
caffe2/python/__pycache__/regularizer_test.cpython-38.pyc,,
caffe2/python/__pycache__/rnn_cell.cpython-38.pyc,,
caffe2/python/__pycache__/schema.cpython-38.pyc,,
caffe2/python/__pycache__/schema_test.cpython-38.pyc,,
caffe2/python/__pycache__/scope.cpython-38.pyc,,
caffe2/python/__pycache__/scope_test.cpython-38.pyc,,
caffe2/python/__pycache__/session.cpython-38.pyc,,
caffe2/python/__pycache__/session_test.cpython-38.pyc,,
caffe2/python/__pycache__/sparse_to_dense_mask_test.cpython-38.pyc,,
caffe2/python/__pycache__/sparse_to_dense_test.cpython-38.pyc,,
caffe2/python/__pycache__/task.cpython-38.pyc,,
caffe2/python/__pycache__/task_test.cpython-38.pyc,,
caffe2/python/__pycache__/test_util.cpython-38.pyc,,
caffe2/python/__pycache__/text_file_reader.cpython-38.pyc,,
caffe2/python/__pycache__/timeout_guard.cpython-38.pyc,,
caffe2/python/__pycache__/toy_regression_test.cpython-38.pyc,,
caffe2/python/__pycache__/transformations.cpython-38.pyc,,
caffe2/python/__pycache__/transformations_test.cpython-38.pyc,,
caffe2/python/__pycache__/tt_core.cpython-38.pyc,,
caffe2/python/__pycache__/tt_core_test.cpython-38.pyc,,
caffe2/python/__pycache__/utils.cpython-38.pyc,,
caffe2/python/__pycache__/utils_test.cpython-38.pyc,,
caffe2/python/__pycache__/visualize.cpython-38.pyc,,
caffe2/python/__pycache__/workspace.cpython-38.pyc,,
caffe2/python/__pycache__/workspace_test.cpython-38.pyc,,
caffe2/python/_import_c_extension.py,sha256=sGv-KRstLH9xLLKcbaCOkoiwLgKf90Mq15AIDbhJnvw,2601
caffe2/python/allcompare_test.py,sha256=tGJZq9WR0foCnjxjNCrAMPLOgcHestS135hMNY4qNUU,2359
caffe2/python/attention.py,sha256=tOH4a7vkSVybJYrGAMMecMbb8m_kgLtlEggX6JsLzHI,12504
caffe2/python/benchmark_generator.py,sha256=_cia6Ur94AoCPTocI6EUi-Xv6IVA8tSgxVF6wEVI4Pc,5056
caffe2/python/binarysize.py,sha256=UMq-8A922nrD_7MLDuit2g8_027Tx18is5rKYxyHGRk,5666
caffe2/python/brew.py,sha256=d9sVwAIavdzt4BDewSTxtS7XFAbomv4xpkAXWvx1lsc,4483
caffe2/python/brew_test.py,sha256=D3R0cezPW4Ddk7eWo2iTpymCBk-iPb9pMyyF5iHBcuU,11884
caffe2/python/build.py,sha256=QCbnoTfO6QtCS8wUpgC-NUHPMCOM1US_Oa7eM8cBswM,298
caffe2/python/cached_reader.py,sha256=TG2t1kNi49-d-fOFlwLbXDj9wqzdliMMonTQgHuvu_8,4539
caffe2/python/caffe2_pybind11_state.cpython-38-x86_64-linux-gnu.so,sha256=XQxSZlIGhf9oyyYSWoHQogW59yr8sV7CVJ2xhwBB1aA,1778472
caffe2/python/caffe_translator.py,sha256=9EjNM-U_TuOfAhXkZg4eUEC6-tmxtUTUDP3nWkn8Im8,35250
caffe2/python/caffe_translator_test.py,sha256=C-D1RvjH2Q_8HLbplTeRnOAlDrfTueQy4eottvX5KDI,3553
caffe2/python/checkpoint.py,sha256=h5bGOD7dA77UQwSvr4uA9ZhnDCEB_TE_i951SnCHj3I,32185
caffe2/python/checkpoint_test.py,sha256=27Lq4QyBtz8W3ok4LpNev5s-voOiJxpVKHNoPZLULMM,13550
caffe2/python/cnn.py,sha256=wVZU3fdbAFdBrSNu9SblYpnltKvlfpu50ionSPhUQ0A,7771
caffe2/python/compatibility.py,sha256=1GQ9EmAUKJ9_Fz_GW0lFBu0Ku8YfJTl_Zzhs6McV6WQ,164
caffe2/python/context.py,sha256=OHXhYJwqjkPx4YCK05PFfvIpr1xPs6sQOvuOxL49ypU,3406
caffe2/python/context_test.py,sha256=4w7OYxNXZemcHQI8uwcRsmeYrdFkwAWeOzljiyRKAkA,1048
caffe2/python/control.py,sha256=X6tpb-cMAqPJ6dragbf2trM0_yYddzJQc5WwB-ySHaQ,19454
caffe2/python/control_ops_grad.py,sha256=WQay5dlqEkbDy6usdOlAYXP0R0lNkkh_rmKLbf1BMKE,29038
caffe2/python/control_ops_grad_test.py,sha256=CJhu2L4KFxrmSeKK4ivQFjEZiP7zHPSylK63nSOwY5s,1897
caffe2/python/control_ops_util.py,sha256=D1tkcnBAXk8It2Y_SZMtvLfnak1yVOqKBe7s8JaJnD8,11008
caffe2/python/control_test.py,sha256=cpDFZh_ei5o05oTAAJZXnwVa7_MSGMuAkAMAotf3G8w,12421
caffe2/python/convert.py,sha256=R756gWHyIdkoMKtA5zGX9kCmaxz8MaGxVgMCCGCqGCw,299
caffe2/python/convert_test.py,sha256=ylEFpfasVElKwX3y2pu55C5U6LhIwFd0M8S7zXJKcf4,421
caffe2/python/convnet_benchmarks.py,sha256=LD5JP4rZ2FazN5olcY6hJXnfCD0knAN1yuJKC_Mxkhk,20533
caffe2/python/convnet_benchmarks_test.py,sha256=WbrFWANBSAL64vnzmOR1upGuUqmUsVrQ-wUTDaZlPUo,839
caffe2/python/core.py,sha256=CqfYd2NJfS4XDFDHCqlnUJXZHNvd7qjXqs4ugf3hs4w,116767
caffe2/python/core_gradients_test.py,sha256=9UATjoqTBB8e4L3CoVyiryY9Hj8Kv2X9qzKxh2tWStQ,36071
caffe2/python/core_test.py,sha256=Rvp0syhbozHMxFfoODC9s6d-d97dWZwz322VM6OB0g0,45537
caffe2/python/crf.py,sha256=BQ8X_h-erxFV71axtGVKPut_R-VhA_5V32zikQkVMJw,13331
caffe2/python/crf_predict.py,sha256=g0wO86Nxd0P3bnEt_PhQGaQveTpjhQ6UB7aWpseM4yQ,1241
caffe2/python/crf_viterbi_test.py,sha256=55TW0yfsKMdeDr2QuJ8-3E8FtwEwEsAtZcEH9P10xNw,1769
caffe2/python/data_parallel_model.py,sha256=u0l8ojboBr9AfPf3S98JZdl8yR6-gmNBBZHq5M6Rmss,83191
caffe2/python/data_parallel_model_test.py,sha256=gZp620qoslClyU6DYJuQAXbPTvwO98mZtpzEJdmjQkc,56010
caffe2/python/data_workers.py,sha256=6TqePBvOZO2T0xX8iA2rh18hA_MCQLdowitq1tHsqVs,16142
caffe2/python/data_workers_test.py,sha256=AyQXQwkorUu1i02Wnn4X6dgjKkxX2aHMyzlqmQbumRE,6706
caffe2/python/dataio.py,sha256=wpbXYE2OxO2mDYn7p2DYh3qgatqFvR8lrWSYmbHn2ng,23677
caffe2/python/dataio_test.py,sha256=sBp_z8f7N_UVxCyeCVpQCrxBwW4hNxwQVieJEIB8KrA,17584
caffe2/python/dataset.py,sha256=wv_l_JzHylzHdgpH19xnBwIvlcSyfw-Nz7a2JpK-C4Y,13031
caffe2/python/db_file_reader.py,sha256=FXG-KfJg5RNBTA4FGfsI-KzsACLYMJeenYNGcFDo3lw,6574
caffe2/python/db_test.py,sha256=ig5wfgL3Qnz06MUVSxQ6oAu6SmVYwK1t56J0zYHHovw,1255
caffe2/python/device_checker.py,sha256=YHhqy2EmNCm5mIngw6NF7xnTLbRR1Y5cKDHSk4P3wP0,5157
caffe2/python/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/docs/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/docs/__pycache__/formatter.cpython-38.pyc,,
caffe2/python/docs/__pycache__/generator.cpython-38.pyc,,
caffe2/python/docs/__pycache__/github.cpython-38.pyc,,
caffe2/python/docs/__pycache__/parser.cpython-38.pyc,,
caffe2/python/docs/formatter.py,sha256=PHT-4rg-ekx-jjD-vDC7RPflVaY9lyxy9BtHVIK9DD0,3019
caffe2/python/docs/generator.py,sha256=LKltbcYNAFeL1CNzuCxVrRiHhYLqn0y7eh5yuBruxtk,7395
caffe2/python/docs/github.py,sha256=VrN6n99yr5UiFOSBIzCpWlSvx7a-bJ2SLHnbC38ZKbc,4199
caffe2/python/docs/parser.py,sha256=RhHboGCqv2xTB-d2pFDiWEthsTMxbwcWYlcLVjhO4xw,3065
caffe2/python/dyndep.py,sha256=zLt2eFrqGwPMV3SnMv3QpeWoNi5SoVmz3q5vEmcsTMk,1601
caffe2/python/embedding_generation_benchmark.py,sha256=wRqN5s9npi-2Pvrog4KNb684gceS9OuW2PEZieQ-bvo,5401
caffe2/python/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/examples/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/examples/__pycache__/char_rnn.cpython-38.pyc,,
caffe2/python/examples/__pycache__/imagenet_trainer.cpython-38.pyc,,
caffe2/python/examples/__pycache__/lmdb_create_example.cpython-38.pyc,,
caffe2/python/examples/__pycache__/resnet50_trainer.cpython-38.pyc,,
caffe2/python/examples/char_rnn.py,sha256=p7aeHLSy92_bTV1GZdUD15iEzfkI5nx92x_pPY612As,9968
caffe2/python/examples/imagenet_trainer.py,sha256=6dVt6fGVlCFEo5F5g8LRPAD05wYvNYY6v1wiiXBajRY,27459
caffe2/python/examples/lmdb_create_example.py,sha256=ugt1sWBQJG6_psRHSu8zXqNC6AeP2AtB1l93WerdlQw,3181
caffe2/python/examples/resnet50_trainer.py,sha256=6dVt6fGVlCFEo5F5g8LRPAD05wYvNYY6v1wiiXBajRY,27459
caffe2/python/experiment_util.py,sha256=I-M08pfwFD6Qnva9KA0isFKmceya4VuuFN3zWl0BGro,3781
caffe2/python/extension_loader.py,sha256=5--AufTANxDKF14hkXfc_gysgc1gVhWpgVVlAhbtF3Y,889
caffe2/python/filler_test.py,sha256=rWzP5N1cgZROXSElvMUv1O1uHYuA41Aybm-utN2jr4w,854
caffe2/python/functional.py,sha256=hQnRSN5KuQMPDnjhkyYkCmrhtCPjlnytfiHcJnZSsx0,4559
caffe2/python/functional_test.py,sha256=PgyYhby6TPDW5e5Ak8Wrt78-60EaeyrHNhVeZlOc_sk,4349
caffe2/python/fused_8bit_rowwise_conversion_ops_test.py,sha256=Vi6okIJHsmeoHUEtXvRIsGTtmdLLn3Rfjg2PWvLw7Bg,3619
caffe2/python/gradient_check_test.py,sha256=_mZIc5YjlbLJk7uU16YrdSubEdiy6PUmXtu8IetGWOQ,20783
caffe2/python/gradient_checker.py,sha256=YgQDxtm9IeBK9BfwoU7Enslwd7QqiOt5a2xMccoTvcQ,12667
caffe2/python/gru_cell.py,sha256=CYurWDhcbLhKFcTjL2te4rMNEW6wkTvsL56DRVSm7jo,5274
caffe2/python/helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/helpers/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/algebra.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/arg_scope.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/array_helpers.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/control_ops.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/conv.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/db_input.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/dropout.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/elementwise_linear.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/fc.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/nonlinearity.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/normalization.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/pooling.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/tools.cpython-38.pyc,,
caffe2/python/helpers/__pycache__/train.cpython-38.pyc,,
caffe2/python/helpers/algebra.py,sha256=V1xnnIPW-Es_HcCq8y2wn2MjLTd1ShNF1nMKQZZxLv0,758
caffe2/python/helpers/arg_scope.py,sha256=yHaIjU7s8IusWbK4dhA_NfTrXo3cJiihI2ZYAb7VZtQ,1220
caffe2/python/helpers/array_helpers.py,sha256=X8kG2KR-9L8Z1HWL2HP5Chi48TvjgnqfTENw4cQSXkE,793
caffe2/python/helpers/control_ops.py,sha256=J48FwvUFOagfUG6fJZbfKJ1WvNKlaoc71fpSUyNWrTk,770
caffe2/python/helpers/conv.py,sha256=HGskTjxXv1clQn9bteeqFiOkez9w7OLTpekSKI3qN2o,10541
caffe2/python/helpers/db_input.py,sha256=L9p-_3Q57utkY6p7p8hvIvR4ZIksFFh5iaDIlHobP_c,526
caffe2/python/helpers/dropout.py,sha256=yfy5kZmNOAp365rXw1LEPGFY23kU6xzMaU3mw-no2kw,557
caffe2/python/helpers/elementwise_linear.py,sha256=mSBS13622-AXWYA8UaUVhpndqkt2TGSdPx5BZrTUb6I,1530
caffe2/python/helpers/fc.py,sha256=boZjX5Jt_526by_HYApmqpcjlMavMa_4hDjDxqY0sxQ,6549
caffe2/python/helpers/nonlinearity.py,sha256=8aHcRRnTlHATUYcpeNG_MufwrlWBRZTQQwfTRTOqPbM,1290
caffe2/python/helpers/normalization.py,sha256=SzjYqcEt6qGD5hrFoMrT693LLiz4n949uzhjuMKsl_8,11036
caffe2/python/helpers/pooling.py,sha256=8AWlvlc8HtXxVa0fCksMZGXg--l9hEdVoN1pYP1_ebg,1069
caffe2/python/helpers/tools.py,sha256=Wdh7j4DGph2fIIYl4zl1aEB8kFCZXZIAgmuKvGs69w8,1234
caffe2/python/helpers/train.py,sha256=UIeRU9NYO9C_QC3VPkYK1q2X24A77l5HPcQuWbHZyB4,2337
caffe2/python/hip_test_util.py,sha256=t_k20J3X1IHM2EfD-oRsNHh0fLSuqETLj1wiYsksy_c,550
caffe2/python/hsm_util.py,sha256=liIaukpg1gUi4yZTMXPU6fB8GGMvAw4b2V6N_NE7tYY,2404
caffe2/python/hypothesis_test.py,sha256=Dp7DSYmyAGACsddDtdqMLxvPCL7OyR1b5z4d6TP6M0s,90490
caffe2/python/hypothesis_test_util.py,sha256=FMDXY2GB-MxdnVSqt9EK2QE7EVCVRQFUWj_BeSufIYM,26185
caffe2/python/ideep/LRN_op_test.py,sha256=ZNhGyya9gCMt3Es3jDujx_Pi_ek8b7qYChSUvmiWJ7c,1311
caffe2/python/ideep/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/ideep/__pycache__/LRN_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/adam_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/blobs_queue_db_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/channel_shuffle_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/concat_split_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/conv_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/conv_transpose_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/convfusion_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/copy_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/dropout_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/elementwise_sum_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/expanddims_squeeze_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/fc_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/leaky_relu_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/moment_sgd_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/operator_fallback_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/order_switch_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/pool_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/pre_convert_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/relu_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/reshape_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/shape_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/sigmoid_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/softmax_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/spatial_bn_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/test_ideep_net.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/transform_ideep_net.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/transpose_op_test.cpython-38.pyc,,
caffe2/python/ideep/__pycache__/weightedsum_op_test.cpython-38.pyc,,
caffe2/python/ideep/adam_op_test.py,sha256=XMlTPhbVcdPa5u2IlrmDR-5gkoO1H0sMcPi_r5Ckups,3357
caffe2/python/ideep/blobs_queue_db_test.py,sha256=tFlF5UBkaXR8YDteWM4drjj-QvhothniB4W2tnzeYwA,4190
caffe2/python/ideep/channel_shuffle_op_test.py,sha256=iE7AzTrjBjD4GsIG3MD4skCNXXmaZq59Hq8yoiZMjaE,1375
caffe2/python/ideep/concat_split_op_test.py,sha256=mpaKOhPvGlVQdsY0tX48wfLltbkjf_k9FBbTl9A3j1U,5587
caffe2/python/ideep/conv_op_test.py,sha256=nLLkfSlZxbUGheHSHq-ckO6b6QE9hyaWYuNdVUesEVA,10584
caffe2/python/ideep/conv_transpose_test.py,sha256=vZovM0LQrzhpE-GO6vgkn9MSm5I99R9_ie9RdQeNNdo,2701
caffe2/python/ideep/convfusion_op_test.py,sha256=_jG6f0utMXgl4v-Z-22IhdFqFtPMmhpzbNHdbuIlXd0,32086
caffe2/python/ideep/copy_op_test.py,sha256=OyU5c_k_xqi11NXeYO5Gwyt6lq1xtOtD6XPYgG0TEdk,3219
caffe2/python/ideep/dropout_op_test.py,sha256=9nLZrk55sn3Ha_cu3BLp167_w2WNaEVnZtRR1rUrdYI,2265
caffe2/python/ideep/elementwise_sum_op_test.py,sha256=eLuzZebsJ3ixlt8ALqPJFO--7zkKkMPn4-4alA5SB6I,6442
caffe2/python/ideep/expanddims_squeeze_op_test.py,sha256=ekAel3UlmQGmZDT2Y2tZqpPYl3OoDi9U8LY4DISNjR0,4410
caffe2/python/ideep/fc_op_test.py,sha256=WQT7IrxXnF5e_9dMHRgclK40RNRsE2QsRTKm6zChD6I,11762
caffe2/python/ideep/leaky_relu_op_test.py,sha256=rYvP3mEgLUAr4u1xSZczCin3Y0DhniFDkAt0Zkx2dCM,2960
caffe2/python/ideep/moment_sgd_op_test.py,sha256=9lJR4Wb8CkmL1yVaIYvC3gq5x2ZdxnHGYnI7hmhrAMI,1922
caffe2/python/ideep/operator_fallback_op_test.py,sha256=qNtlIA5kBXAyCA6anDLd4JSwuIMi081jhbv2WRVTvPg,3595
caffe2/python/ideep/order_switch_op_test.py,sha256=HDIeOBtSnB8FL-6rIZdlj6O7KpblOY-KLGnwJ_30GDw,2388
caffe2/python/ideep/pool_op_test.py,sha256=_ihtQ7VyQIW6j8_7aUsR4KYcl2zhqPhBXtichgJ5_tM,4359
caffe2/python/ideep/pre_convert_test.py,sha256=WJ7r5d-aUhQ6DU5c-OI30II7LLkjOz_H41yedYxszGk,4260
caffe2/python/ideep/relu_op_test.py,sha256=hoNMwWsl4VU5u92oeyJnEa326iga9VTN5xln3jfdXX0,3755
caffe2/python/ideep/reshape_op_test.py,sha256=-0NZOhpIwd6a6mU-UOQ-HVSV2nGUN-DCLJsKbVfr-bE,6064
caffe2/python/ideep/shape_op_test.py,sha256=fMAi8v_CyKoiEj7IfOtR1RySe8FgPrTsfOP5kClODhQ,2720
caffe2/python/ideep/sigmoid_op_test.py,sha256=Mj7mZMKpUL9M3_YNotFk7GUMs6Gil516kPvX-FlrJds,881
caffe2/python/ideep/softmax_op_test.py,sha256=Mn19OiOuTYzasz1s54bu4seM3SstiplcSyZTGV_-DBo,1077
caffe2/python/ideep/spatial_bn_op_test.py,sha256=eJn1L8u-KLefG9GlKqZIJgf_w-d3jGSNP2soLs1J78o,5364
caffe2/python/ideep/test_ideep_net.py,sha256=SpnCkvhZm5fLNFPUEUB8VQAzLOPT7vb0EehNqIQlC88,4254
caffe2/python/ideep/transform_ideep_net.py,sha256=ksWS1HOkAdD5Iq3OMVVxP7jol_Uubgn6x8oOPjmbZHE,11843
caffe2/python/ideep/transpose_op_test.py,sha256=kEP_PUJ3Uw5yPflJ4DUO-tPFuKzHI3o8Y6Ki_F1bE4g,1409
caffe2/python/ideep/weightedsum_op_test.py,sha256=cE--yEXCO2rma5zrkmHX44XUT3Ay-7TwfDlRBZ-zC6g,1705
caffe2/python/ideep_test_util.py,sha256=6XjqW21jBFhmHna9Z08TRuN3dUcGgpHGvr3cNi7aVBg,1179
caffe2/python/layer_model_helper.py,sha256=gJyHKjyEiIjRIIm58aIYfMQ8W6PVOReGYRwwVTP7BCs,29048
caffe2/python/layer_model_instantiator.py,sha256=qAA9xaa4wf4tskWhAhwjf4VmR9A7NAc2ZDW8YeVwoPA,4080
caffe2/python/layer_parameter_sharing_test.py,sha256=glPaKfEOzxJERXywJpXk-rhn9rHHbcVtpTu8-wHyRv8,9309
caffe2/python/layer_test_util.py,sha256=WukX1m9vcUdMEomyoXt_C3pm-yuNAYSUDE18NEcdtpk,4921
caffe2/python/layers/__init__.py,sha256=QBlVuLGWQ1bsqwXAcf41NWUk_fGrknd4Q3jIWZDjnB8,1088
caffe2/python/layers/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/layers/__pycache__/adaptive_weight.cpython-38.pyc,,
caffe2/python/layers/__pycache__/add_bias.cpython-38.pyc,,
caffe2/python/layers/__pycache__/arc_cosine_feature_map.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_huber_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_lr_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_mse_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_normalization.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_sigmoid_cross_entropy_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/batch_softmax_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/blob_weighted_sum.cpython-38.pyc,,
caffe2/python/layers/__pycache__/bpr_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/bucket_weighted.cpython-38.pyc,,
caffe2/python/layers/__pycache__/build_index.cpython-38.pyc,,
caffe2/python/layers/__pycache__/concat.cpython-38.pyc,,
caffe2/python/layers/__pycache__/constant_weight.cpython-38.pyc,,
caffe2/python/layers/__pycache__/conv.cpython-38.pyc,,
caffe2/python/layers/__pycache__/dropout.cpython-38.pyc,,
caffe2/python/layers/__pycache__/fc.cpython-38.pyc,,
caffe2/python/layers/__pycache__/fc_with_bootstrap.cpython-38.pyc,,
caffe2/python/layers/__pycache__/fc_without_bias.cpython-38.pyc,,
caffe2/python/layers/__pycache__/feature_sparse_to_dense.cpython-38.pyc,,
caffe2/python/layers/__pycache__/functional.cpython-38.pyc,,
caffe2/python/layers/__pycache__/gather_record.cpython-38.pyc,,
caffe2/python/layers/__pycache__/homotopy_weight.cpython-38.pyc,,
caffe2/python/layers/__pycache__/label_smooth.cpython-38.pyc,,
caffe2/python/layers/__pycache__/last_n_window_collector.cpython-38.pyc,,
caffe2/python/layers/__pycache__/layer_normalization.cpython-38.pyc,,
caffe2/python/layers/__pycache__/layers.cpython-38.pyc,,
caffe2/python/layers/__pycache__/margin_rank_loss.cpython-38.pyc,,
caffe2/python/layers/__pycache__/merge_id_lists.cpython-38.pyc,,
caffe2/python/layers/__pycache__/pairwise_similarity.cpython-38.pyc,,
caffe2/python/layers/__pycache__/position_weighted.cpython-38.pyc,,
caffe2/python/layers/__pycache__/random_fourier_features.cpython-38.pyc,,
caffe2/python/layers/__pycache__/reservoir_sampling.cpython-38.pyc,,
caffe2/python/layers/__pycache__/sampling_train.cpython-38.pyc,,
caffe2/python/layers/__pycache__/sampling_trainable_mixin.cpython-38.pyc,,
caffe2/python/layers/__pycache__/select_record_by_context.cpython-38.pyc,,
caffe2/python/layers/__pycache__/semi_random_features.cpython-38.pyc,,
caffe2/python/layers/__pycache__/sparse_dropout_with_replacement.cpython-38.pyc,,
caffe2/python/layers/__pycache__/sparse_feature_hash.cpython-38.pyc,,
caffe2/python/layers/__pycache__/sparse_lookup.cpython-38.pyc,,
caffe2/python/layers/__pycache__/split.cpython-38.pyc,,
caffe2/python/layers/__pycache__/tags.cpython-38.pyc,,
caffe2/python/layers/__pycache__/uniform_sampling.cpython-38.pyc,,
caffe2/python/layers/adaptive_weight.py,sha256=C6SLkAmn_iYQu4BM47hSM_z2VBLIOrlfBrQivNV6Udg,5769
caffe2/python/layers/add_bias.py,sha256=3wmsRA1c7jB3QYD5PPtd_zNJGj7Ld5atF7pWY2ctMfU,1541
caffe2/python/layers/arc_cosine_feature_map.py,sha256=igMIi73vWdhffzZWD0ELS2fT5gyPd49T9P2VGZRqLhA,7490
caffe2/python/layers/batch_huber_loss.py,sha256=EKGJ_8tlJltvvhKwSfq079Jd5m-B4wKP8jFiqSlKEYk,3668
caffe2/python/layers/batch_lr_loss.py,sha256=J6XXcTZXdG0hZic-A0WIpYMtNSw3vfWZmP9vEEmcMs0,11721
caffe2/python/layers/batch_mse_loss.py,sha256=hSHh2m4cmTLd0d65wZedOf5FLEpnKqS7LZXzcg83dZM,2478
caffe2/python/layers/batch_normalization.py,sha256=j3azeCnMXSO1y4-abjFpEh87wo03AzV-rIYtRw7a-cY,3925
caffe2/python/layers/batch_sigmoid_cross_entropy_loss.py,sha256=cKeEK01gPzB6wakFQZUhPnxyrLdBJqF560cyWXCi38g,1628
caffe2/python/layers/batch_softmax_loss.py,sha256=tFnwAXhGrwhPJJZ5_MVCAtZ69KrUK7Lb_lkl2Kb7dDY,4725
caffe2/python/layers/blob_weighted_sum.py,sha256=MM78uocCrP22k7uIFc3ONwQz5yYo-G9aXXY7dh3mDGA,2364
caffe2/python/layers/bpr_loss.py,sha256=y9QS_x-Vgp_RP8PY62ZzHa2dFRIYQBOSTIWxja7y5uU,1644
caffe2/python/layers/bucket_weighted.py,sha256=nnHwrjlmGarca-CW8o-pczmMKbZSxn4CaiC7m8wzxdU,2500
caffe2/python/layers/build_index.py,sha256=rsllqw5dHGqjjgNOpyaU980QNTnAZCS0MuuNIjmdqDI,2084
caffe2/python/layers/concat.py,sha256=fLmYpPUlEzvUm1MRxOlU_4NZGPSv4zWgHBYnbj1lA6o,4996
caffe2/python/layers/constant_weight.py,sha256=4TqHTUV2-JrnfmEkfyg9QdvzEeOOWoIuQo9MMuTKzV8,1353
caffe2/python/layers/conv.py,sha256=Pt8oMjpbt-CDzoKNyNAwC50CFMOS3t1WntVKlERzUwI,5195
caffe2/python/layers/dropout.py,sha256=pBZwGue_4MuDUElAFrn2PF3CH8cojnaPhWqnecEp6G8,1555
caffe2/python/layers/fc.py,sha256=omIe7qYMSAZkWCMQfXoqI3YrL3o5oHiNfnXR2xlFqZc,8718
caffe2/python/layers/fc_with_bootstrap.py,sha256=2Hl6kNVM3pgFfQIuxTYiFezRh-pdBJ5fsu2VDQviYqY,12870
caffe2/python/layers/fc_without_bias.py,sha256=ohpyTRNtsyhlV8wE70_eVo55o7RjcFzQZj6ccbunDyk,2018
caffe2/python/layers/feature_sparse_to_dense.py,sha256=arUhTzh_DGL-EHSk7OHtSMMcxwrtcHY3oK-Bn5WRp_0,13852
caffe2/python/layers/functional.py,sha256=9VqqXh39F9oJFhdoGDepLlyHdz5b8u9DVGYiMRvtnEA,5044
caffe2/python/layers/gather_record.py,sha256=cWe1I5M70U1pqhUkmsGlOHYW_7qAI6FQVwcZ7rxqiMo,3405
caffe2/python/layers/homotopy_weight.py,sha256=KirtFZ75PwLBE_2VNZxaTrIuXmGpwVLf4F4r6v_IV1w,4451
caffe2/python/layers/label_smooth.py,sha256=3mHTcr-pjNlUXOT8-s5gVIsMUmCOi1EzOIuBBfzAhQQ,3652
caffe2/python/layers/last_n_window_collector.py,sha256=6Jrwota6FB2aPr4-3e6yBNp_Wvid-vsL-LdHk6FiTHw,2543
caffe2/python/layers/layer_normalization.py,sha256=wJY3lMBnNJm-natG7f2ARhxVyhUr9nWs-jEKea2Dxlw,4393
caffe2/python/layers/layers.py,sha256=ICFosbOonkNUBXgtBSz9EIX4u-aEWFVs-w41eaCTeVY,17490
caffe2/python/layers/margin_rank_loss.py,sha256=scHeWZ_qTEdawTJAbTnQ74ia1DKpl7EmL2ixp1By2xs,2096
caffe2/python/layers/merge_id_lists.py,sha256=hsx8dxBVQOJs7H-0YFWUNQokVN9WkEFhiRyh8seA4co,1650
caffe2/python/layers/pairwise_similarity.py,sha256=LfTUrUZBPYtqF5wdF-TD2qBvdlUGMfpb6Lr-WxWJYBA,3695
caffe2/python/layers/position_weighted.py,sha256=cethEbOi4agKCKQY2f9e0tC_VocpVR5Ryw3GmwegxnU,2211
caffe2/python/layers/random_fourier_features.py,sha256=RGGzxZcy6sGHSfmrRC-VBde-jav18nu_80gJ36G_pR8,3330
caffe2/python/layers/reservoir_sampling.py,sha256=lNixvlbskQOzNP6I1gLi68XhWxXcMN7AJV4OQyQ6SAw,3160
caffe2/python/layers/sampling_train.py,sha256=IzIH2bccHCnLe4OxuLkKiOnNp5-_vHTs5PLK789PVMA,2355
caffe2/python/layers/sampling_trainable_mixin.py,sha256=FnSTp572WMQvM13YSl-zqC6HSZv2fzOYm-3QlfuzoDU,1540
caffe2/python/layers/select_record_by_context.py,sha256=I2TJkc8t2ytVBdgjfCJu4Q9sB5x1fOM4Rp73UrmkpZI,2525
caffe2/python/layers/semi_random_features.py,sha256=-s_meAJPs1icnbQXPjZPIuvFYjSTwIoMQyF3d36zqQ0,5954
caffe2/python/layers/sparse_dropout_with_replacement.py,sha256=IwZruCfnkX1c3h0rxF6-fmbFjkQo_DZRbGj3i1wdiNM,4088
caffe2/python/layers/sparse_feature_hash.py,sha256=oz_45rcfcCr0vX3I_NiU06U9n7w_Z_lcULxaHH9mkbE,4763
caffe2/python/layers/sparse_lookup.py,sha256=SlO0dUGb8nt0aqJlJZPTacBahApczoZI1h6vRzIhUuY,22133
caffe2/python/layers/split.py,sha256=hK5olbZD0iLjrPtdseX4yaLVSJb-ieb0-c0rHs38dP8,2403
caffe2/python/layers/tags.py,sha256=scpygW6qFk9ieEg-dNt8NYwmVetbCXjkQp5ONIjSyZc,3896
caffe2/python/layers/uniform_sampling.py,sha256=Mz0T0dGD7r7bQE9MktevJn_Jz0JSs9oulkFeGtx98-E,2924
caffe2/python/layers_test.py,sha256=dTc6p7choDfkZr7c6TZHI3sEwwTIQCQCfpR33f5LyMk,90031
caffe2/python/lengths_reducer_fused_8bit_rowwise_ops_test.py,sha256=BhM_1Kc7Mjvpr867yY8cn2I5VDdTfZXhAXlbyGglyXk,7541
caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py,sha256=vNFQ7fFNy5F6pdposGk2M4M_D0X1oOcH8rkUM5XWLoM,5855
caffe2/python/lstm_benchmark.py,sha256=BlBpkube3lOiRqzkyM-3JP0400essP2YzvOhccNYBhQ,10793
caffe2/python/memonger.py,sha256=_cLbE__wKkbbr9zZQoAJhPBeGMEL7QUwj1peY4IrjBw,34124
caffe2/python/memonger_test.py,sha256=fAOTAEf0yWvUyoTiopGvWOtgZYRyZjon46JteZYAbZw,33574
caffe2/python/mint/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mint/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/mint/__pycache__/app.cpython-38.pyc,,
caffe2/python/mint/app.py,sha256=eWBLINmlAUStIaLNN2mDQ1NdXiOBO0-bEUpdTAwojXY,5600
caffe2/python/mkl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mkl/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_speed_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_concat_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_conv_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_copy_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_add_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_sum_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_speed_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_fill_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_speed_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_relu_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_speed_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_sigmoid_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_speed_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/mkl_squeeze_op_test.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph.cpython-38.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph_test.cpython-38.pyc,,
caffe2/python/mkl/mkl_LRN_op_test.py,sha256=ZTV6JCmcK9N17Dh4xxmpY0BOPqnqz6rhosdQw50V9Go,1315
caffe2/python/mkl/mkl_LRN_speed_test.py,sha256=4ferbWe-ZsYD05edx-b2aR5d-KayV1iv9tFwronhRiI,3332
caffe2/python/mkl/mkl_concat_op_test.py,sha256=eweL2ruwwviaFWV_6DDgpxcuD8sCqTitrRE6zGGy-40,1318
caffe2/python/mkl/mkl_conv_op_test.py,sha256=8-K2V9oRpvhWVh2jWK9ciJsBiZ0Qf5Vge_19wfQoCVo,1839
caffe2/python/mkl/mkl_copy_op_test.py,sha256=O0OJcLp0TmSLaztB5hDd338NkmypUTtwjGvcNWq3afQ,2294
caffe2/python/mkl/mkl_elementwise_add_op_test.py,sha256=FYaAgykWzUvpl-J2laaO44HZiDeNYsfJKmcjGvlFCtw,1346
caffe2/python/mkl/mkl_elementwise_sum_op_test.py,sha256=L0-10NgeawkxOnQegejQc4RiIJXfNDUZNMXSoTzYWxs,1479
caffe2/python/mkl/mkl_fc_op_test.py,sha256=IfKwrlCBKCkPvUXcskR11A5wTy7PzKFgyTSQyr-sfKw,1082
caffe2/python/mkl/mkl_fc_speed_test.py,sha256=XAl_ersiTpacXfapeeM7cE8Jp8FVo-3H87alGWE9czQ,3999
caffe2/python/mkl/mkl_fill_op_test.py,sha256=mBKcBatMLAWCqJcrGza51frtAtgK67_iFuEpgC17U1Y,1193
caffe2/python/mkl/mkl_pool_op_test.py,sha256=aQXbXMCASred66mcAkETEObjeOBlZ8kryiaUlklfKec,1476
caffe2/python/mkl/mkl_pool_speed_test.py,sha256=u7sogoVzapCkbDnXOpfZFUinrslwOqAQwVld8rlv0BQ,4360
caffe2/python/mkl/mkl_relu_op_test.py,sha256=7F7NwwA1imvPiLqsGCED1j9Mv2kCjeYkO-3IY82jwSo,1133
caffe2/python/mkl/mkl_sbn_op_test.py,sha256=Qomb5LGS9tBcK5dAMDArhDF1WWuHhq-L2doJ--qxJBM,3265
caffe2/python/mkl/mkl_sbn_speed_test.py,sha256=eTXw4Gx03OimG1EyHa2DWp4RNrspeGq8KmfTqjFuVAc,4750
caffe2/python/mkl/mkl_sigmoid_op_test.py,sha256=zfz0aO6FbAVaYIglcuE_KL-1LKxQZbF4pyBovr8o0u4,978
caffe2/python/mkl/mkl_speed_test.py,sha256=DP0L07GEV1bBll9gWoYS7QmTU6wY7CmI9296d8rrR3c,3229
caffe2/python/mkl/mkl_squeeze_op_test.py,sha256=rKSwovxvcOvqzEMZT_MIebi-9Jcx6BRYm5yPLvxR9Zc,1113
caffe2/python/mkl/rewrite_graph.py,sha256=LmliuO4mMF9CjlwrHTMRbctsg3-tHKnjexDPdHIYXyA,8624
caffe2/python/mkl/rewrite_graph_test.py,sha256=k0795OHHoBBalsc2mGm9JXsJTv5QjsepJWNt6gSRM74,8034
caffe2/python/mkl_test_util.py,sha256=_6BUqrSdPMIH2VK3LIMmMHZ2anBZ3F1oxdLKlJ6-QF8,1287
caffe2/python/model_device_test.py,sha256=fMDsB0aT0eHYmbuO0CR2rXe4AdwsrtUrOSy9oebVa4U,4777
caffe2/python/model_helper.py,sha256=obdNfrcJuS6_trNQm4w8nTVPqL-I1URvd-fhFxx8rZg,23634
caffe2/python/model_helper_test.py,sha256=d2namkPkLOXZpVqeuUnnonvDgD3MjayVy3PKc-A9ohE,2400
caffe2/python/modeling/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/modeling/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/initializers.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/initializers_test.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/net_modifier.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/parameter_info.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing.cpython-38.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing_test.cpython-38.pyc,,
caffe2/python/modeling/compute_histogram_for_blobs.py,sha256=Newwr_DzChPXB7YdNEZN8UFfjz6kf-FDb74res3GNfQ,3653
caffe2/python/modeling/compute_histogram_for_blobs_test.py,sha256=5uAM9E8ZM6N27iElfXkycB8h2KoAKI8VojqWDPMG-A0,5092
caffe2/python/modeling/compute_norm_for_blobs.py,sha256=12U1kqJcJg05cH7ns5xuRC_F2t7ucadPwcB-SsoaR-Q,3677
caffe2/python/modeling/compute_norm_for_blobs_test.py,sha256=eoYCTlwBbPGAmB4qpmy6s56DSp7UIk8Z_f1Yg6y1NCQ,8083
caffe2/python/modeling/compute_statistics_for_blobs.py,sha256=FgU1fU4Nde2An9LoUXnnMYrtF4mEpqNkNjV2KWeO4AA,2054
caffe2/python/modeling/compute_statistics_for_blobs_test.py,sha256=xvY-4p3VrK_hG2tICvRK9dIAYTNlwX4okpENTpdfrvY,3015
caffe2/python/modeling/get_entry_from_blobs.py,sha256=NN-_zw0nDiLn6IDKXZz6OVc80xg5eP_DNVdyUZIZVhQ,3275
caffe2/python/modeling/get_entry_from_blobs_test.py,sha256=E6vaIV6llMoU6SQi6zq0-CD95lGvIzL3aT_zRJixniQ,3683
caffe2/python/modeling/gradient_clipping.py,sha256=WU9Kgkehen9JNguJhiojd2dbAqJHd3dTM4Os-2ZskHA,5910
caffe2/python/modeling/gradient_clipping_test.py,sha256=S5l9Q-mveh_ibECiDF-QcOTgMchIAwn7Tqvg_tjmxB8,10161
caffe2/python/modeling/initializers.py,sha256=ZpRN5vREaRM1rVh7XkZbCSh7YQ_ta5397HYt4MXUAa8,5536
caffe2/python/modeling/initializers_test.py,sha256=UR-96rc3Le3KxfVnRMW7a8lWt3I1WVn6PuTcRkVEVw0,2251
caffe2/python/modeling/net_modifier.py,sha256=yCQ4ooYxW3VWjatV7wkMLLSVONLgBKHBTULxr45e_Zo,997
caffe2/python/modeling/parameter_info.py,sha256=O_5QX2QORdazZeaWOsWlekFaUTqVgc1E6ZEGBcUYpx4,1583
caffe2/python/modeling/parameter_sharing.py,sha256=5GYicI9va2ti_4FESbAUnD0_ys4zSBITmdok_HB3k30,3992
caffe2/python/modeling/parameter_sharing_test.py,sha256=vTnSIbeYqbDAJR7pHPeJ0048YRi5lsEs74Wk9WOxRZ8,7368
caffe2/python/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/models/__pycache__/__sym_init__.cpython-38.pyc,,
caffe2/python/models/__pycache__/download.cpython-38.pyc,,
caffe2/python/models/__pycache__/imagenet_trainer_test_utils.cpython-38.pyc,,
caffe2/python/models/__pycache__/resnet.cpython-38.pyc,,
caffe2/python/models/__pycache__/resnet_test.cpython-38.pyc,,
caffe2/python/models/__pycache__/shufflenet.cpython-38.pyc,,
caffe2/python/models/__pycache__/shufflenet_test.cpython-38.pyc,,
caffe2/python/models/__sym_init__.py,sha256=1wlbZGkWa-wLXEvKH7KqLB_Pr4T4lYch1wZXfdsdsKY,639
caffe2/python/models/download.py,sha256=Y_aVTKTVpG3v9C-L_6Q4V1MyELYFEehkfvVK-9GM3kM,8381
caffe2/python/models/imagenet_trainer_test_utils.py,sha256=0AhnTQHO2botD7BoF8A8oP7tMuAJria5aTX1fOgygr8,5900
caffe2/python/models/resnet.py,sha256=KxqL6e8v2JWXUMAyikQRFgKu9GaQPyfADw8gcOHAQx8,12077
caffe2/python/models/resnet_test.py,sha256=gQTavO19HZNQS29aMDdVebAuRMMY8TwBa4x1f0R-eh8,2067
caffe2/python/models/seq2seq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/seq2seq/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/beam_search.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_beam_search_test.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper_test.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_util.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/train.cpython-38.pyc,,
caffe2/python/models/seq2seq/__pycache__/translate.cpython-38.pyc,,
caffe2/python/models/seq2seq/beam_search.py,sha256=BMu2tQBN_GcA2BTA2_YWEiP_xaY956lHUF1exe36BQI,17181
caffe2/python/models/seq2seq/seq2seq_beam_search_test.py,sha256=hI_iJ34-_GrDwgr4njE5HJlmbNocruHPmeb41qWM73U,6521
caffe2/python/models/seq2seq/seq2seq_model_helper.py,sha256=mDXdD_lIlgkmTyWFHA2iztefSnti-WzLnCqh83CmC9g,2806
caffe2/python/models/seq2seq/seq2seq_model_helper_test.py,sha256=DxGtijOd-B2GclDGvfKZLSoGksB0oKGno5Rr9URSjJs,1983
caffe2/python/models/seq2seq/seq2seq_util.py,sha256=FulE5q9mu4ULkf2GU9ya5U1JY6Kim2p73k3NzV3ujZg,20378
caffe2/python/models/seq2seq/train.py,sha256=MaX_IhdAZTTbcMSHN672mTRZSjSKUUi0lyzWhCd8y7c,27663
caffe2/python/models/seq2seq/translate.py,sha256=MeSDgTEs3zEmcBz5Ou23Alc6DBl7BoaKpPrbxfoo9XA,24301
caffe2/python/models/shufflenet.py,sha256=2q6FrLM98c5wQ6ujRDcrkcZeGDL6xIzPCDkBtsqOMa8,7977
caffe2/python/models/shufflenet_test.py,sha256=zHc0vrN2-orFmV7-4reIH7RLy7cYnkkk3k93dfeLPuw,2115
caffe2/python/modifier_context.py,sha256=vjrymziwyRzR1lyy9aVLxu-q2wfarlLmRlm1isnA07I,1918
caffe2/python/muji.py,sha256=AD0Y4l8SX_uhu7LuGBRwgBvFu3d-cI6KuO0ioEiX7z4,8131
caffe2/python/muji_test.py,sha256=xQ9og0QFLvOmh0owiFselYLYMeO2VBqJkQofttKojfs,3058
caffe2/python/net_builder.py,sha256=LaIazA9R3Eqr4cGwIkxRRfr9CMgXSiRBo_qIGEvSMdM,27790
caffe2/python/net_builder_test.py,sha256=2uhmwNmBdJoa68JyzlWcSh4GBijKhTSNUzm8VimGKFk,11527
caffe2/python/net_drawer.py,sha256=DiPfFE_pOHE-QORA5P0gJmEmaSvnzyMZxIywzpdaKbg,14408
caffe2/python/net_printer.py,sha256=SKUWf6d4CMMNbeFo16x-jkI5M9FnGSyOyx3Foa8Swvo,12849
caffe2/python/net_printer_test.py,sha256=8PVWnXsF1XGJnuPK4r9T6R2kUAsBzCq4oA_FXtGSAIs,3335
caffe2/python/nomnigraph.py,sha256=07zmb_COcQKygg9LLu4S-RncJ2Uae2PV0Cq3RT-e-Gc,4346
caffe2/python/nomnigraph_test.py,sha256=y27cYia8vtujIIXYgItEXdSkcUmUVV6Xsz5YcvT7hYo,15583
caffe2/python/nomnigraph_transformations.py,sha256=UaJ553so-AljWYmktVuqOkKzt-Epr1NqKoECpw_TezQ,3869
caffe2/python/nomnigraph_transformations_test.py,sha256=4v-QtKvwA_EWuMSZGiWPrRrkkn7yOHOSnToev-Izo5E,5912
caffe2/python/normalizer.py,sha256=d-WGK-phZz63jyuw_A3F3X7JPQiOnB4n0mg0h65kYBU,1253
caffe2/python/normalizer_context.py,sha256=ieZuYp2dSlOtBg3-aM0kYm6-58aBcHU5kpX2hb2QjWY,1173
caffe2/python/normalizer_test.py,sha256=aeGPAbx6SkvXjxYtEE7z1JDOlVB9OASgpykoPoHkxQ4,593
caffe2/python/numa_benchmark.py,sha256=SwNrzovoeyfq2qJccoVhIdVFWtWqj-m7QufUrgYpJRY,2336
caffe2/python/numa_test.py,sha256=lxDqLM8OCcQ6PUPfBo8DNdIo2LbScHoWsQC20KKTpX8,1769
caffe2/python/observer_test.py,sha256=buyAHOfrzTVXWXuyMmvsoPVBRC4Ts1hS55_69qmYHos,5422
caffe2/python/onnx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/backend.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/backend_cpp_rep.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/backend_rep.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/error.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/frontend.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/helper.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/onnxifi.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/test_onnxifi.cpython-38.pyc,,
caffe2/python/onnx/__pycache__/workspace.cpython-38.pyc,,
caffe2/python/onnx/backend.py,sha256=2zTHpDZCvHpJjMxb7uN4S23xhvm7SQYyFU1g-rFkQOA,40250
caffe2/python/onnx/backend_cpp_rep.py,sha256=20Z317qliIaTagPE81x5be8SgKNSpgVvQMYdJc6F5Lk,2008
caffe2/python/onnx/backend_rep.py,sha256=wPI4KlrNX_G2Gjk4NT_VsPLzluy3prJnWh1Yg53YUC4,2833
caffe2/python/onnx/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/bin/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/onnx/bin/__pycache__/conversion.cpython-38.pyc,,
caffe2/python/onnx/bin/conversion.py,sha256=dIWOTdbZfLJlGG6A0jVrMBdn_7vKMT5xGP96038xmgY,2981
caffe2/python/onnx/error.py,sha256=GhX34sWHsoQo9plq4-XW_n2ugeU8zmEutFcf623rI8U,276
caffe2/python/onnx/frontend.py,sha256=oaoFzxBvjXKmztmYCpaR1reYSxcYaMP-b4SMeP8Iei0,13196
caffe2/python/onnx/helper.py,sha256=BOfYiKq5qgpw9rsUTlFpYZKSROavSZUluU96fCwADtc,4360
caffe2/python/onnx/onnxifi.py,sha256=PCDJShHG6AH8gr75VqmN9gN0iq774Xpn6M3hM-FDix4,1363
caffe2/python/onnx/test_onnxifi.py,sha256=Na0ZhQx1nrZARR5ugasrgk2TOhwCt7LfbLDcbgKdw1U,7910
caffe2/python/onnx/tests/__init__.py,sha256=gRyLk6-FXUcXIvdthDFvqe6kmyPPYV6PMBtBhHGwO1M,149
caffe2/python/onnx/tests/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/c2_ref_test.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/conversion_test.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/helper_test.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/onnx_backend_test.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/ssa_test.cpython-38.pyc,,
caffe2/python/onnx/tests/__pycache__/test_utils.cpython-38.pyc,,
caffe2/python/onnx/tests/c2_ref_test.py,sha256=SIxf05p6nj45deYNhcQgVh8SdNtqLvh1yueKd08H1Ig,30775
caffe2/python/onnx/tests/conversion_test.py,sha256=13XumHxtaW7gTwBvjB-_1Y_3J33SZLNCHeFGalCAqFE,15145
caffe2/python/onnx/tests/helper_test.py,sha256=HPc6InK0a5I9-nd8Kp9BFq0Rqs1M9oI4EkxkPy0F2vs,952
caffe2/python/onnx/tests/onnx_backend_test.py,sha256=8HiaX9gwkAe9ERXXj1-3e9G8UT8hgCHnzD-YBbJmH9Y,6317
caffe2/python/onnx/tests/ssa_test.py,sha256=GTAj-J8b9RrfLoubf9uiUHnW6eu-6TCaTzLVjH9Gqio,4181
caffe2/python/onnx/tests/test_utils.py,sha256=owAGbwXrcqwYUbCINr_1wc1YCJqNAq5kn0KazDNuk2s,943
caffe2/python/onnx/workspace.py,sha256=OxGt2FrcMUlLNi5cLQno25f83_6JuCHlZh-hxmMsz3U,3148
caffe2/python/operator_fp_exceptions_test.py,sha256=QG_K-xGswsxjVm6zmnPTLLJ96s-58fKvubzuHa8T0N8,1390
caffe2/python/operator_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/operator_test/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/activation_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/adadelta_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test_helper.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/adam_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/affine_channel_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/alias_with_name_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/apmeter_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/arg_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/assert_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/atomic_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/basic_rnn_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/batch_box_cox_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/batch_bucketize_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/batch_moments_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/batch_sparse_to_dense_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/bbox_transform_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/bisect_percentile_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/blobs_queue_db_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/boolean_mask_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/boolean_unmask_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/box_with_nms_limit_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/bucketize_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/cast_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ceil_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/channel_backprop_stats_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/channel_shuffle_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/channel_stats_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/checkpoint_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/clip_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/clip_tensor_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/collect_and_distribute_fpn_rpn_proposals_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/concat_split_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/conditional_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/conftest.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/conv_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/conv_transpose_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/copy_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/copy_rows_to_tensor_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/cosine_embedding_criterion_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/counter_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/crf_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/cross_entropy_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ctc_beam_search_decoder_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ctc_greedy_decoder_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/cudnn_recurrent_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/data_couple_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/dataset_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/deform_conv_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/dense_vector_to_id_list_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/depthwise_3x3_conv_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/detectron_keypoints.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/distance_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/dropout_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/duplicate_operands_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_linear_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_logical_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_op_broadcast_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/emptysample_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/enforce_finite_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ensure_clipped_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ensure_cpu_output_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/erf_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/expand_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/fc_operator_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/feature_maps_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/filler_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/find_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/flatten_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/flexible_top_k_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/floor_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/gather_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/gather_ranges_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_byte_string_to_uint8_fill_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_fill_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/glu_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/group_conv_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/group_norm_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/gru_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/heatmap_max_keypoint_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/hsm_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/hyperbolic_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/im2col_col2im_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/image_input_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/index_hash_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/index_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/instance_norm_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/integral_image_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/jsd_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/key_split_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/lars_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/layer_norm_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/leaky_relu_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_adaption_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/length_split_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/lengths_pad_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/lengths_tile_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/lengths_top_k_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/listwise_l2r_operator_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/load_save_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/locally_connected_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/loss_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/lpnorm_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/map_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/margin_ranking_criterion_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/math_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/matmul_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mean_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/merge_id_lists_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mkl_conv_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mkl_packed_fc_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mkl_speed_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mod_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/moments_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/momentum_sgd_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/mpi_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/negate_gradient_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/ngram_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/normalize_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/numpy_tile_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/one_hot_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/onnx_while_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/order_switch_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/pack_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/pack_rnn_sequence_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/pad_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/partition_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/percentile_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/piecewise_linear_transform_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/pooling_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/prepend_dim_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/python_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_speed_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rank_loss_operator_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rebatching_queue_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/record_queue_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_net_executor_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_network_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/reduce_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/reduction_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/reshape_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/resize_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rmac_regions_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/rnn_cell_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/roi_align_rotated_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/scale_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/segment_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/selu_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sequence_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/shape_inference_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sinusoid_position_encoding_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/softmax_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/softplus_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_dropout_with_replacement_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_gradient_checker_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_lengths_sum_benchmark.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_normalize_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/sparse_to_dense_mask_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/spatial_bn_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/specialized_segment_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/square_root_divide_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/stats_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/stats_put_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/string_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/text_file_reader_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/thresholded_relu_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/tile_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/top_k_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/torch_integration_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/transpose_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/trigonometric_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/unique_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/unique_uniform_fill_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/upsample_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/utility_ops_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/video_input_op_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/weighted_multi_sample_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sample_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sum_test.cpython-38.pyc,,
caffe2/python/operator_test/__pycache__/wngrad_test.cpython-38.pyc,,
caffe2/python/operator_test/activation_ops_test.py,sha256=3sBe4q9aBU1jh-WIljRQXj511z-8_xJKyvDqAYZftDQ,8407
caffe2/python/operator_test/adadelta_test.py,sha256=7OW8_VwWVyz5MbTXwIQme72__F91zXgZZYaJAJQhlpg,7997
caffe2/python/operator_test/adagrad_test.py,sha256=gUm0udeU9trAHSXw5p8o6KDdfMtbHfDPnEsf6A2Wbac,6900
caffe2/python/operator_test/adagrad_test_helper.py,sha256=BtJ6LOmkk5Wefc7X9oaGS6HfY-4lDnvWXHrGuNanacQ,4450
caffe2/python/operator_test/adam_test.py,sha256=d3-G11U3349Gyqy8POMpH4B7uAynvlvdbMZAOOKAjBc,16979
caffe2/python/operator_test/affine_channel_op_test.py,sha256=iyDPJY50YCRjFllJAMCjtSLQuf3odipibhPiesJqnz8,3850
caffe2/python/operator_test/alias_with_name_test.py,sha256=4k29-cTaJzojqdIQPGpQiZ-yB_UjLjKW1DQ8RyRrK-4,938
caffe2/python/operator_test/apmeter_test.py,sha256=vhzUFlS0fUDmOX7jiY_sscBKWguwZdYhXpYeQep7dag,2883
caffe2/python/operator_test/arg_ops_test.py,sha256=vGUNF78O4rStnZOmRJ_MLoJI5Iuq4jAkUVZLCZLMqT0,2008
caffe2/python/operator_test/assert_test.py,sha256=fxgpDIHdP4XnJnQ0EOsieJO-i-5WHKQ2JJhmV56wZho,863
caffe2/python/operator_test/atomic_ops_test.py,sha256=-IBTQ7FuqZQfmybxb_wev-HXqByVcMcRDeEQ8nmlG1E,2288
caffe2/python/operator_test/basic_rnn_test.py,sha256=xKKdyhzvZFNNeAFI18yneE19RkXrun_sAm5u7H7gDrs,4865
caffe2/python/operator_test/batch_box_cox_test.py,sha256=b_BLynC7kCbgkddNTxQ0-Oh1eP4gD1C7s5qaysTNrsY,5102
caffe2/python/operator_test/batch_bucketize_op_test.py,sha256=4fBSVrueiMWhIMG2GuQlr_CwPSK_kJ3m2t941rmyXOk,3874
caffe2/python/operator_test/batch_moments_op_test.py,sha256=_1yWB5WNJC4EHNCzxUY_ZliWfJMAQcNapg0jY_nmWVE,2861
caffe2/python/operator_test/batch_sparse_to_dense_op_test.py,sha256=xTwQs6Pr5eydhLX3cBy5XuqQlth31Ycwo9ijklcFzck,3785
caffe2/python/operator_test/bbox_transform_test.py,sha256=bLusHIJkIr0cQyEK0uLc35n6DHsewsCY1j1ZwV2bGbg,12340
caffe2/python/operator_test/bisect_percentile_op_test.py,sha256=M_8nZYB7vK1MbXtBNBAXdowdo2iubnArMCcn66TFR6k,6372
caffe2/python/operator_test/blobs_queue_db_test.py,sha256=iygam-md6SIT4UqM8BSKKo27aDqKJOzEm2Dg5Xv2D9Q,3401
caffe2/python/operator_test/boolean_mask_test.py,sha256=jWYr0Ol5ZJCtDUXVj_XfKdQ9-EqU4_NjOU6Z7qI5kPU,16311
caffe2/python/operator_test/boolean_unmask_test.py,sha256=U0QreFBRh0svbKL8w7cafcAdo700e8nlm5-aPqnmnFQ,1856
caffe2/python/operator_test/box_with_nms_limit_op_test.py,sha256=euhBBZeNTw1c_lPv6fOmuvNbQxC9UhgG_lNlFmFvScA,8770
caffe2/python/operator_test/bucketize_op_test.py,sha256=b03TUvmmP5WI2Xu2TqIdLYS-n7TcLFmEDs7mqOBo9h8,1118
caffe2/python/operator_test/cast_op_test.py,sha256=S7OC3RrdMywtJBS2Li6Hcf30dQqefxw3wSmvFh6jQ9E,1745
caffe2/python/operator_test/ceil_op_test.py,sha256=wzNUgmBP_TGWe9Vq4igHF7IE98IOOkTuhFKwW_om8AQ,1000
caffe2/python/operator_test/channel_backprop_stats_op_test.py,sha256=m314RURGCqIcefjzhvQx5fm9E5bxOY7BOnwdt9kB8tU,2251
caffe2/python/operator_test/channel_shuffle_test.py,sha256=DeokwX5hULZ9ckiUVexqDxxo2aiMCGUdkoGuycvgSxQ,1876
caffe2/python/operator_test/channel_stats_op_test.py,sha256=IAPJELtWM3ZNEoZGKnk20ce4Wt4pnUtOi1VLgRXDVLE,2697
caffe2/python/operator_test/checkpoint_test.py,sha256=Gyxl8_x-U_IEIElsgoEtc9kOeHFr2bR3Xqi4uK5rOfU,1566
caffe2/python/operator_test/clip_op_test.py,sha256=Xz_R1Em_T36S1NZ7hUhpfbP7RAQC4iNgyUr6-_sE30U,2096
caffe2/python/operator_test/clip_tensor_op_test.py,sha256=-figxVYvZpsFmo5MPNCauHuD_yTWmpkyhu8_ACMjRek,2159
caffe2/python/operator_test/collect_and_distribute_fpn_rpn_proposals_op_test.py,sha256=oolDfV2AcSlXn0T_dZeGfRKGVVs4VMMQJM_5GaDew5w,11407
caffe2/python/operator_test/concat_split_op_test.py,sha256=Ug2ym4wEM2gCGQoD66SADFJGvF12kPDzmOUDR9rf1YY,6267
caffe2/python/operator_test/conditional_test.py,sha256=AYJZml4J27e0Sat0_ch3Fgv_ufuqQP1TxUpvBYHlMxA,1101
caffe2/python/operator_test/conftest.py,sha256=zs1BqT3paL5b5PjNt4VtDrqHeDpdKWnMWKRokHQ1zD0,1591
caffe2/python/operator_test/conv_test.py,sha256=rgct--EBy8WvAgnTXRnScyfEnWrTzqiJWlBYdhxmSIs,32202
caffe2/python/operator_test/conv_transpose_test.py,sha256=6IB-WXP9lUFvU7Cpd2Dhi-w1jINNM5MNosz__ljnYew,16002
caffe2/python/operator_test/copy_ops_test.py,sha256=9YR_qxlPkHxz-9ex0LhvwzqLFAzxWd97kGAkVMpq9LE,7519
caffe2/python/operator_test/copy_rows_to_tensor_op_test.py,sha256=HhLlUDSigWYH49280ZCmsN_JUxD84frABs8ba3VA9AQ,2568
caffe2/python/operator_test/cosine_embedding_criterion_op_test.py,sha256=hLXc6cqKE46fL8x4BF0ZKp7vTDH5f6XChie8iLKkq9Y,2127
caffe2/python/operator_test/counter_ops_test.py,sha256=Ihb49PK2GyV2LkN277xCRCY6khJ3aj5gk92f3_O0slw,3493
caffe2/python/operator_test/crf_test.py,sha256=sQ5HUXI0fHKluVaFPoXZIIZ_-Uul7pHoTG-qtnr7Y_4,5403
caffe2/python/operator_test/cross_entropy_ops_test.py,sha256=kMZoQLODCWySI_tUXsL8Dj0W2H-Byt_vDFngkix1LOY,10296
caffe2/python/operator_test/ctc_beam_search_decoder_op_test.py,sha256=HrvBJzXewIe4Jsor3ihdkaGalnc7wShtDhGudjZpOfQ,5342
caffe2/python/operator_test/ctc_greedy_decoder_op_test.py,sha256=afmxfcpdx_EwL_e_Gs8Etz9CqFwEW3hfCo6z9Ah2mkk,4825
caffe2/python/operator_test/cudnn_recurrent_test.py,sha256=4L2QlwVWzt9o0JoL9vcNvajJk8Rjb38Acvxk-60IY3c,5998
caffe2/python/operator_test/data_couple_op_test.py,sha256=doLzHa3jb-MHB-UPXSgX63i0aiFcg-FOy5AOQyCYY2M,1003
caffe2/python/operator_test/dataset_ops_test.py,sha256=3sP_0fUE_VQYY-QX9xkv9DAo9xZa71JEa0AAh36Y10w,22319
caffe2/python/operator_test/deform_conv_test.py,sha256=E3PNuSVYN_mcuZ1ccr0jeZ9wGphValQ5ArhXcqH4dd4,19350
caffe2/python/operator_test/dense_vector_to_id_list_op_test.py,sha256=yu2V6CcV7Z7Mj8qiKvUOBtODj-J_xStPLdP1CQQhv_8,2189
caffe2/python/operator_test/depthwise_3x3_conv_test.py,sha256=ymhlGs2XVSSIhU7E8SXd8rSg6GwY8ImPtrxQ8LNNXrM,1987
caffe2/python/operator_test/detectron_keypoints.py,sha256=5p7DKHyAixnGiJWn-8IGJZi14oND79pGog76tGvSZj4,8118
caffe2/python/operator_test/distance_op_test.py,sha256=xxDxTFTm9EZP--PD4t8_HuPODeFfdotgI79D6mlHyGM,4525
caffe2/python/operator_test/dropout_op_test.py,sha256=5ukPjCMMkk4YObWhyt0zXb4_V3eCpyNQC83WGfAth1Y,3076
caffe2/python/operator_test/duplicate_operands_test.py,sha256=7TlSeDF9LDKImpXQ6lhAXW1rNprLA_1aGYRxN7ZSsTE,879
caffe2/python/operator_test/elementwise_linear_op_test.py,sha256=pw0CNfQLJMLf3g1xgp1JGB8NWBI0_wNWlm4XPfQeJvo,1556
caffe2/python/operator_test/elementwise_logical_ops_test.py,sha256=oolcAyt8tjTrbBpkVDFGCWXwLfCd9kkVEVOe_pb7PBU,4676
caffe2/python/operator_test/elementwise_op_broadcast_test.py,sha256=wIM1ZHOWsEyq_HSPxzWWHygICL8V0HNeugjRYTAxtK8,16293
caffe2/python/operator_test/elementwise_ops_test.py,sha256=0XSYiUlE0WbU5G7h_XkijTkgwcoGHnJsYf71288hzdk,22151
caffe2/python/operator_test/emptysample_ops_test.py,sha256=XPFrDDzCchIY89K86Sk5--u4CVg4v_pTCbc5NiS8Ok0,2122
caffe2/python/operator_test/enforce_finite_op_test.py,sha256=otPTo2p-fxcfF5ZjnJQshQzOiM-zS6zeZN9zZU_3Hzc,1426
caffe2/python/operator_test/ensure_clipped_test.py,sha256=qFIqAzub6ocKLKzC_ZndTNLH1-tyeH4GJn0OhSdmeoA,1587
caffe2/python/operator_test/ensure_cpu_output_op_test.py,sha256=8dDZE6kMe5N8HvLsFxE7ATpesL8JlCMsnxXWC_fJyIA,1389
caffe2/python/operator_test/erf_op_test.py,sha256=Vw6ewJ11tYlYOYv9H1gqP2oCMvcPh0olQbTWokz05XE,901
caffe2/python/operator_test/expand_op_test.py,sha256=OYpfCpRSIsDWE00hj7S3Yb-9ux8ZlfH04YGY4PWjX2U,2225
caffe2/python/operator_test/fc_operator_test.py,sha256=rUiZYeXNZ4FkLJvQZXAVBYnm6D8uRI8F64AFEo_IxZ8,3977
caffe2/python/operator_test/feature_maps_ops_test.py,sha256=vkvcwMC-UxnknwUn68KjApZJPyFoDbVeyCQc2WV-bYA,20499
caffe2/python/operator_test/filler_ops_test.py,sha256=dlEzzT1m4FsHjJBd565czoNeG5BK21x9sBqSslGl6X8,7041
caffe2/python/operator_test/find_op_test.py,sha256=dEx5xsnwauazQ6YrR8Iem7HNuEXa93t59IHA8K6EpkI,1399
caffe2/python/operator_test/flatten_op_test.py,sha256=kPRCp3B0jjPsb-GNYfWqkkGiAjkvPvgRtzF_nvwQImI,1067
caffe2/python/operator_test/flexible_top_k_test.py,sha256=SO3BdIZM27YvXmyrq19BunbT503vzVmG0MRpHj4MwFQ,2691
caffe2/python/operator_test/floor_op_test.py,sha256=70JX6sD9GNh8Qr4300AxYIF0DXDJfEH0-iXuwUTvFf0,1006
caffe2/python/operator_test/gather_ops_test.py,sha256=NFIPefH316IhZefPK46h5BmkK-X6Vk8K-yoR5n7JZBY,9155
caffe2/python/operator_test/gather_ranges_op_test.py,sha256=tl_TJ7F5dJ_0SKXR5ikvL84w9NvduoyUHW1pqf5c3h0,8801
caffe2/python/operator_test/given_tensor_byte_string_to_uint8_fill_op_test.py,sha256=w8dF1wN7OOVQNYDL38ogwayMtCa9MXWmU6U7ti2P7aI,1537
caffe2/python/operator_test/given_tensor_fill_op_test.py,sha256=6PAYkloL6jtyYU5i1zsXJlgQILZ6t59G6LDoVvYxmEE,1648
caffe2/python/operator_test/glu_op_test.py,sha256=zX76jKzIKqCb71fQwHQSTkmSQpy1Ykg3oYdDBWy9lhM,1355
caffe2/python/operator_test/group_conv_test.py,sha256=eupAK016EBC9N0-eQ30tXVybRsvJ3EjinJ8LGhgkfac,2995
caffe2/python/operator_test/group_norm_op_test.py,sha256=CL2BNsYA3sphbODvSbynST7595pfHNUW_Jrlii2ELGk,5318
caffe2/python/operator_test/gru_test.py,sha256=u9BW7w9bHLlJ4d40chgCX60ukP4hFJOkbzTR4wG0Zko,13106
caffe2/python/operator_test/heatmap_max_keypoint_op_test.py,sha256=Bc9t4dJcxleQ8Jgo2--Og_m_FQokFGMcwBeIbdTtwYk,4915
caffe2/python/operator_test/hsm_test.py,sha256=-VpcDWpDpjXpOJwnnrEkhvB76T3xnJNdmg6i3lfvZ7Q,9561
caffe2/python/operator_test/hyperbolic_ops_test.py,sha256=bqFmDCKLsq3EQX8AAGOXSooIEKEbuQmR2uEYRMTV7Jk,1566
caffe2/python/operator_test/im2col_col2im_test.py,sha256=TCVbv7_NeVH48F-8JdXFn65vzy0A49Sd1BduDxBwp-k,4443
caffe2/python/operator_test/image_input_op_test.py,sha256=WpLg5VfFN60OFMd-4BLc9qNWBXh5lrlLU0ofmyNxjNk,17428
caffe2/python/operator_test/index_hash_ops_test.py,sha256=hDe9KUIGqDD94EReYngvYTiYr6n9IdiaNJCN8P3NzdA,2683
caffe2/python/operator_test/index_ops_test.py,sha256=SwVMGf2ZAMCetT9_-6xARfzH53QsL_6aUIz-8AKOOks,4742
caffe2/python/operator_test/instance_norm_test.py,sha256=fsgdbVZdjART_3VxNq2BWEb1bDCKntXtkw6QXWVxgLg,9993
caffe2/python/operator_test/integral_image_ops_test.py,sha256=P1YaLASONNJPmYA1x0o4zrGwz8RxalYP098ewUjNI2s,3442
caffe2/python/operator_test/jsd_ops_test.py,sha256=u-CHLyXzLN9E8VmVBrlbDaw0Owidhc2POQVWw_4EPu0,1218
caffe2/python/operator_test/key_split_ops_test.py,sha256=rfrKUlCuM9axcPmdRFChcqhwN3dIYXUT5KCprZKrUIc,1434
caffe2/python/operator_test/lars_test.py,sha256=7TKuCWaar0TEYXMjR3FZsTo-CTe3lxnPo9Zpk-WInBQ,1499
caffe2/python/operator_test/layer_norm_op_test.py,sha256=7umbdEdlf4UZ42m_y_VsptdG8c-L6CnAxZfdRLuakCA,13762
caffe2/python/operator_test/leaky_relu_test.py,sha256=bRK9zkzCyc9E8DJJyVYRzGmjWnmbhUb1zL74-6Ro10U,5745
caffe2/python/operator_test/learning_rate_adaption_op_test.py,sha256=BVr1inCjpk4Xmv_5MJutQnzwTJbCnFmA5Y6uLOAmIk8,2933
caffe2/python/operator_test/learning_rate_op_test.py,sha256=eyk4YLO2wkAPiT7x3VA4GfQDVSWEvH-UZ1sTcH-cRfk,7524
caffe2/python/operator_test/length_split_op_test.py,sha256=jCsJy-wn7EDUWmRDVtmugQdDN2TOydNo6uwpYwe55N8,4860
caffe2/python/operator_test/lengths_pad_op_test.py,sha256=_nc-pJ-OftzjgK-hzmETZcc1lNmmSwph3h8FvRlxmhE,1799
caffe2/python/operator_test/lengths_tile_op_test.py,sha256=mZDTWUAY6STF2E90FhwlTD3dDLo6bB-SwD73iXaKATg,1506
caffe2/python/operator_test/lengths_top_k_ops_test.py,sha256=Krd9dtgB3s_hL7x0f3p2K-HJvQJ2UqCNeNDX9b7rbrg,2523
caffe2/python/operator_test/listwise_l2r_operator_test.py,sha256=ev1xrD9Dm85SMOuOysaL1WTpKkt3Mbt6Lk583H32D7c,8822
caffe2/python/operator_test/load_save_test.py,sha256=Qf1sDtmlUgjqVdGHvVR2031RRqWR0W93gWhX08k6hCc,18829
caffe2/python/operator_test/locally_connected_op_test.py,sha256=1hgiY0Hvff7-l6uE_63QO9AXl_KBBWX0fS2r4xbTz4Y,7671
caffe2/python/operator_test/loss_ops_test.py,sha256=LocxRCK6tDhMFeupdwVk04e-UV3M1Y_RvIBFq15J_6Y,1076
caffe2/python/operator_test/lpnorm_op_test.py,sha256=rPhtpbTVc9PZijVQDx85WFC-z2_tVnf4VT5L6O1EUaA,2839
caffe2/python/operator_test/map_ops_test.py,sha256=PP67tGwKxOtPboq8EjuaDMq3LjPFa7l_3UL_Nzpo_28,2394
caffe2/python/operator_test/margin_ranking_criterion_op_test.py,sha256=Eoav-L9-Uc4-iVQRYYTYyO-aZrKCCBDHdggHD5sAAB4,1928
caffe2/python/operator_test/math_ops_test.py,sha256=pbTuWKIkZ9Xe_cT7nyPNr7V0hWywTQ_yWwlZEk45QdM,1601
caffe2/python/operator_test/matmul_op_test.py,sha256=hC9bIgzmmIDclh5Q1mnCHLy1N6Z_h1uTkRf2GBN3Igo,10349
caffe2/python/operator_test/mean_op_test.py,sha256=Ln8p2jkxFFugQJyqXWNaSp-c5p_F93Upj3_QgWnv7i4,1645
caffe2/python/operator_test/merge_id_lists_op_test.py,sha256=cxlHIPfwhfuZ5nop9fFcNX_yoBQFcjQ56chIaInx7-I,3134
caffe2/python/operator_test/mkl_conv_op_test.py,sha256=UYSmBc4lsXE5h_231CNKWdwMQc2mtLFOGl0f7X2JqI8,1691
caffe2/python/operator_test/mkl_packed_fc_op_test.py,sha256=3iYpLmxtxhFs8fOfx5pjUEw15EVLuw0CS4j90Hbwm5U,2792
caffe2/python/operator_test/mkl_speed_test.py,sha256=ZsBKaTQHtNeOde4oRKRE3x6VmzkQ0QGpNNimvxUmoNg,3422
caffe2/python/operator_test/mod_op_test.py,sha256=ky8ROX7zfvlG24QGTy2dV8TyNMAp9VK44xrW1N7Hg2o,1566
caffe2/python/operator_test/moments_op_test.py,sha256=HQZqZx6Y1kQjevBCkRUZDN3ldJXzLPHEinlbBTFQqdo,1896
caffe2/python/operator_test/momentum_sgd_test.py,sha256=UcOYzdXu3dpy4A-cR9JTbICzQGFLkWqdzMSNxA3t6ug,6569
caffe2/python/operator_test/mpi_test.py,sha256=b6FrjJbsX-6u8sMJFhlqU_-Hg5kG8dU5rkEnRtXQtok,8256
caffe2/python/operator_test/negate_gradient_op_test.py,sha256=wYXJUg35k3lFhSnuZ9Kg0cu7mlCAyxZ19gbWjZwfct4,1630
caffe2/python/operator_test/ngram_ops_test.py,sha256=jpsMeIS8oZSQSXS_QZZZrkLdF_cPQ_SMY9ZzaPEAYIs,2472
caffe2/python/operator_test/normalize_op_test.py,sha256=DGH6NedBOQ753yTXc8brmlByXm7VhMaNiaeY0TcmJJs,1718
caffe2/python/operator_test/numpy_tile_op_test.py,sha256=2qI80zdp3Qe_65WthtUZMYbaU5KafqHQGjVfMoMKsuM,2017
caffe2/python/operator_test/one_hot_ops_test.py,sha256=ZLpAN5K_ze_OTMNY1nhZL7rvit4sC1wn40ILTCdBzwE,7588
caffe2/python/operator_test/onnx_while_test.py,sha256=AKIL5lKfaIRuwFnbCGPUUsq-ov7VO6WJhz83Unf8KZI,3154
caffe2/python/operator_test/order_switch_test.py,sha256=tgrkrMoexSM1KsmKDFRtFjCBAxTXo2c3ELT7ByKy6Ro,1318
caffe2/python/operator_test/pack_ops_test.py,sha256=YYr2bol2c4sXsXl8feJj-G6lRWGkPTJC3zwoaZ3sG8k,11563
caffe2/python/operator_test/pack_rnn_sequence_op_test.py,sha256=5gylcH6DO71Pn7nShYs_xVPJhOTAVCyOJFKIsk7YlwM,3065
caffe2/python/operator_test/pad_test.py,sha256=rkQMrR43p-EQFPc7Ucahi_j7aSDTwLLE0G_yNLb1Heg,1513
caffe2/python/operator_test/partition_ops_test.py,sha256=fUz0Ib3fZXU4GQ0BGg_thSVU17Uj1PmIbSIaoDsNoww,6983
caffe2/python/operator_test/percentile_op_test.py,sha256=IMaV3r9Oj2CO9bZLfuyFcxojfCrwkDCW0-19vxgpmT0,4580
caffe2/python/operator_test/piecewise_linear_transform_test.py,sha256=g1Kr6hcoUg0waD_k9CF7uDg0CizeZsts10rU3QCSXxk,6179
caffe2/python/operator_test/pooling_test.py,sha256=Mb8mc3uWVUUU2qEx7RPabZcCrgesU5je4aYocsdjM_A,16190
caffe2/python/operator_test/prepend_dim_test.py,sha256=5gNKvT4lizfEk11aimwsz0bsP4qHI6Y2NOKJcg1HSLE,1650
caffe2/python/operator_test/python_op_test.py,sha256=TDoyjqcdj5n_KTwfKibK4KF5IzPpgF0F6QGN8y66bvc,1417
caffe2/python/operator_test/rand_quantization_op_speed_test.py,sha256=UJLdy8_fe4zRnCgFVteXWqN-NarJxkoBsXjiHuHgSR4,3170
caffe2/python/operator_test/rand_quantization_op_test.py,sha256=eqfIUdBvnRmUOUrJI8KrS5RbONSnr3YAFbRR8yLjMvI,6937
caffe2/python/operator_test/rank_loss_operator_test.py,sha256=DPmUS84CftXCqG0VC-VsH4iismvYYKQw2cCT_47Cvak,5897
caffe2/python/operator_test/rebatching_queue_test.py,sha256=99bKgKgv-9_-6Vk7cU20gbnBN--G6s-r_57Cs_byLuU,9152
caffe2/python/operator_test/record_queue_test.py,sha256=uC_5F3m6FhzNak5rwv-5LSWn_r9N4Wq9HCuBKS6H78g,3270
caffe2/python/operator_test/recurrent_net_executor_test.py,sha256=jIh1nMNk8r30yUGwTgPfTRD7-z7Kx5dGBkMLW0Fu-6o,10997
caffe2/python/operator_test/recurrent_network_test.py,sha256=z-qyOILClyiIidhDCZ4to_GZYjBS18IBOUjsVaFoLrk,14157
caffe2/python/operator_test/reduce_ops_test.py,sha256=AMLdA262JQy00GYKwNWYCvf0hgUof2ziAdD19iT7d4Q,15970
caffe2/python/operator_test/reduction_ops_test.py,sha256=ZdTvYcpCctMFPUu2OVV2_14IEwzoPzpXLA47NdrIpTk,4316
caffe2/python/operator_test/reshape_ops_test.py,sha256=SWyqXNaU57wK-_lRK31qrUrliRAj5Mc9zc6h-NphLSU,8367
caffe2/python/operator_test/resize_op_test.py,sha256=Bt4bpVJleec-wIbQi_NLeMjKx3VZSKNnxysA-GAnbOc,9459
caffe2/python/operator_test/rmac_regions_op_test.py,sha256=G9KmC29sv5e2V6sL5cMBlT8Q9pEC_g5rawvlPM4x_sI,3283
caffe2/python/operator_test/rnn_cell_test.py,sha256=9q-Dt6rt4s6gknpcdM4nOTg9EFFyZ9tdfQSDcDVjtfw,59403
caffe2/python/operator_test/roi_align_rotated_op_test.py,sha256=eym1Uvi2poaSupQ0GClBt8I29gX5pKHz7HSzbe0fNPg,7748
caffe2/python/operator_test/scale_op_test.py,sha256=kWrvtr9K_GfTg_L4Ijy7kwQcOrgqeyICpaR4QBnKucA,2301
caffe2/python/operator_test/segment_ops_test.py,sha256=0d3Gfebdj81PAyHA-EnSJFZAU4CNSPsvbVFdb7_XBcE,23854
caffe2/python/operator_test/selu_op_test.py,sha256=86l4r-ro1m5IeGWuKGV_Lu0jSdJZeBWFh5UMWNluOxo,3307
caffe2/python/operator_test/sequence_ops_test.py,sha256=3KaYHT9hEbpMJB3qS5gnchoIdQxK4WHUK925h9kPrx0,11565
caffe2/python/operator_test/shape_inference_test.py,sha256=78z-igzLKa7iKlncHee5y2fl5E_Pqr54V0ytP2uJp7g,24755
caffe2/python/operator_test/sinusoid_position_encoding_op_test.py,sha256=f2htkbRDJKfcuC53GFIAMlnASZa1LsCkmVyA8z4oIKY,2420
caffe2/python/operator_test/softmax_ops_test.py,sha256=XptGI6Kmli4jtcAgtn6Quo2eJYn0JST4piG1qJn3OJo,23625
caffe2/python/operator_test/softplus_op_test.py,sha256=zJvBuQeG2byQ70mBmitA9WUNupyPxBekMMadoUpv8wY,621
caffe2/python/operator_test/sparse_dropout_with_replacement_op_test.py,sha256=Yw9hlKEnRhQYlrLJPUjQ2ax-eQv-CtxHIqfPaD-xovk,3030
caffe2/python/operator_test/sparse_gradient_checker_test.py,sha256=V9khWkrju7BXkuERrIUogS-JG0f0VBkYCYIqMtlvdFo,1399
caffe2/python/operator_test/sparse_lengths_sum_benchmark.py,sha256=ZQRngtcjpXA3iok8OS7CmEuVR-wzrx9F__4skctdYJk,4166
caffe2/python/operator_test/sparse_normalize_test.py,sha256=lSHOEt8xRHkOE42P8Hvi7Z384Ft9Z05c5d9tbre0UrE,2958
caffe2/python/operator_test/sparse_ops_test.py,sha256=LrbWb_hZ259J1RnGUkD-25eHF6AjzRTh3phtMXnjhi8,3302
caffe2/python/operator_test/sparse_to_dense_mask_op_test.py,sha256=Va5eOHbpUAWULMr0hos9qq-rAtXoUNYEq51t3ijrGfk,3738
caffe2/python/operator_test/spatial_bn_op_test.py,sha256=NMOXXNLrs3mUJIxgRhcPAGLKPkhQ2ZrfLH67ViIMUyE,18746
caffe2/python/operator_test/specialized_segment_ops_test.py,sha256=MICQBm_9umUZ8iiJw_ZLjCiPjnXV-SJFhs0hlR3onPs,11817
caffe2/python/operator_test/square_root_divide_op_test.py,sha256=NKgzCGiY-SF3dgmXQoIEwwrSoWUlDtqAbqinegxhb6s,2353
caffe2/python/operator_test/stats_ops_test.py,sha256=_SYAhpoEbfaPM2xnJGOQikPVTvru0xIVyTE665MEFQI,1934
caffe2/python/operator_test/stats_put_ops_test.py,sha256=NNBLQXJh-HM0YByiO3NBd5pcEEfkyocAf-2ZMSe-k_s,6741
caffe2/python/operator_test/string_ops_test.py,sha256=Q2Wm3G7qeZE7frKv1f681OjvIpLdW3I_Y0eXSwec76s,3512
caffe2/python/operator_test/text_file_reader_test.py,sha256=Xyty-yFMjSo3fMeBjPZ8prYaGtOwJyQw4XCROdhNWsU,2662
caffe2/python/operator_test/thresholded_relu_op_test.py,sha256=NTveeCnBEPZKt4thn5l8qXmSJMF7OSn64BgzXNjd_-4,2428
caffe2/python/operator_test/tile_op_test.py,sha256=cbVeR-DrR01HWnlgvxI0cCOoHFcI5TuoMxzzPrezNYA,3969
caffe2/python/operator_test/top_k_test.py,sha256=yge7BCP4Yo8wgrtN_gE9SsZ0I873FNvWhsXuiuZVT6s,9158
caffe2/python/operator_test/torch_integration_test.py,sha256=pJ9bDdzUbqTq1zwRL2lqc3WZ5rNNjvykQGIMRR0CjJM,25866
caffe2/python/operator_test/transpose_op_test.py,sha256=TKKY_Q_SxYmcDVRLcaPjBApnDNH6y5U83slnDGDuTN8,2733
caffe2/python/operator_test/trigonometric_op_test.py,sha256=NydyltDXad1f04VbsJF9RzudbD5joVhmL4jj9ZB7if0,1734
caffe2/python/operator_test/unique_ops_test.py,sha256=N1tWo3QUbraCF3KYYQN3rsPXEeeOwKnUhDOsTwuabw4,2331
caffe2/python/operator_test/unique_uniform_fill_op_test.py,sha256=MDUdlGHHMc_qoWYi_oQv4iBZIoeVLT__5jJDT_4Jm-k,1480
caffe2/python/operator_test/upsample_op_test.py,sha256=7-zSsNnV125nQeUtowGEmlLChtUmX1c3cy8Ji4LYspw,7342
caffe2/python/operator_test/utility_ops_test.py,sha256=TorGt5I9q6N-Ka-gzJ7DYXJdfD_OZvGTtBYgDuTJxIk,13204
caffe2/python/operator_test/video_input_op_test.py,sha256=a5HC6MrCsYEEdzf749BCxUUSIzUUSJGez8CD6UXZQMk,10601
caffe2/python/operator_test/weighted_multi_sample_test.py,sha256=iMav7oil0csMmhkcSKTnKgTIY9cAQO2b0VD5xlj6fM4,2142
caffe2/python/operator_test/weighted_sample_test.py,sha256=90jsOTwNC3raEWNsUB-_lFmOtCtB5aBxBAXIuGOxbsM,2884
caffe2/python/operator_test/weighted_sum_test.py,sha256=K46sFG21wz0FjSuh_3nuhhQN4K4LSVAzSykE99fVSnM,3134
caffe2/python/operator_test/wngrad_test.py,sha256=R5vTIRmVtyassYqrH-afaD3J27ZUljZvwOFNYbuH-HU,8302
caffe2/python/optimizer.py,sha256=pOWsmaQVRnrDXPnXARFjkGY1ZNuJ04dIDbuE9iDOVEo,53176
caffe2/python/optimizer_context.py,sha256=ubtdWl7MmlOfxnOEDnfZCQVQoYMnD-E3pOJlljg4EBY,1628
caffe2/python/optimizer_test.py,sha256=b1u9OCO5wqdgch7aIFbL98IpoX4Z6jwOLacJRligCmo,27259
caffe2/python/optimizer_test_util.py,sha256=Sdi8Y7ez-fIeD5ObUwI958rHoZ_ghKXXa-IkBFwS-v8,9368
caffe2/python/parallel_workers.py,sha256=xW_UshH8i0mRjJvEqmG8YN_nRFMfyDlM_fISo8Q2KNs,7841
caffe2/python/parallel_workers_test.py,sha256=ya68RIfTg10v4Eaqc2GS79L0rveUdd07gR22FCHpKnM,3646
caffe2/python/parallelize_bmuf_distributed_test.py,sha256=MWxtF0Fo2f_zS7r4uRmDZQejdF5r_MSZHkN3Yq09Txg,9791
caffe2/python/pipeline.py,sha256=McqTtMwCTHxFLcgrzVBkw_q2ngXEgX178j7sIrNGN7w,17425
caffe2/python/pipeline_test.py,sha256=tUjlewRtiZVMSTf7xI7XFum1VDDR47ix8oVtlneqwag,2687
caffe2/python/predictor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/predictor/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter_test.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter_test.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/predictor_py_utils.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/predictor_test.cpython-38.pyc,,
caffe2/python/predictor/__pycache__/serde.cpython-38.pyc,,
caffe2/python/predictor/mobile_exporter.py,sha256=jmSwisGQV1kK913JYYVlIgSCI87H4L8fInkLW-JiTa4,3819
caffe2/python/predictor/mobile_exporter_test.py,sha256=Is8iQosOn7p5v0qnd-jA9GVAeWTpkiwFfBzp4lXJc84,4996
caffe2/python/predictor/predictor_exporter.py,sha256=_sXQTTlcFLCHbUCH_yrFb-opfd6mulZNyyMf0EzmCUg,10039
caffe2/python/predictor/predictor_exporter_test.py,sha256=8gTMrPjL4-ZOd1stu51E74CYllUHuSWwZMXHRF1y8Vc,8838
caffe2/python/predictor/predictor_py_utils.py,sha256=LHVWy7BbJpt7syzJMgtMv5rLPUshQhsi4bCvAqjCYtA,5526
caffe2/python/predictor/predictor_test.py,sha256=YMk5zi4DDDpEPUAR08I4sQ4rZ1gUSl_IEkircvXVsw0,2195
caffe2/python/predictor/serde.py,sha256=9Vqe7xz24JJfWcvosrjsxR10v6lbuavJrUrVJ2o2OCE,462
caffe2/python/predictor_constants.py,sha256=kCDC-kh6kTTjn0UD_H1-Qmt6gZ7HROrieC6bJkvxz6A,343
caffe2/python/python_op_test.py,sha256=1kdIegn_9ITWpRyKzHeh10iMCbutVirboOWtFvkoXK0,8768
caffe2/python/queue_util.py,sha256=Aeh6Rn29ieA8yiQM9nbLnluBekm5Oc5ueVhworkdXvA,4604
caffe2/python/record_queue.py,sha256=tYcYRSjdEwoKx7RUt1KRnEVQjofDcxpSsOo8XYSzmb8,4598
caffe2/python/recurrent.py,sha256=fcrxtS-KW_pnfgKVQ_W-rb0bL4xf3xeKSos1z9BwAx8,13442
caffe2/python/regularizer.py,sha256=nMP1damYQAeer_ooiFF95a0iQOsS2U5I40XTJx42-9c,19792
caffe2/python/regularizer_context.py,sha256=9EMwlZK1SPuAaeB-62bZJvvdoyzvUfwDFil2OvvaDGc,1179
caffe2/python/regularizer_test.py,sha256=p5CtiEwUwV5emnOH31sK6fCnRUHAVLAcWdWn2R8A4Pc,8474
caffe2/python/rnn/__init__.py,sha256=_sBVcje4U5D92RyJMNbb-YIrQK46AUIpYiL-pVhV8eA,150
caffe2/python/rnn/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/rnn/__pycache__/lstm_comparison.cpython-38.pyc,,
caffe2/python/rnn/__pycache__/rnn_cell_test_util.cpython-38.pyc,,
caffe2/python/rnn/lstm_comparison.py,sha256=8EOsQV1FOgFVcqjRCnKdLr7atqX3-VIRK8ESuHIO1Sg,2257
caffe2/python/rnn/rnn_cell_test_util.py,sha256=XZlKox6v_MMK8DED-D672M4MhrUZ_G0hbgtdGnjcePA,2277
caffe2/python/rnn_cell.py,sha256=WSu9RkHULlRqESHGfcCPk-GRBSqEIKKFlN9onGeDkXI,68166
caffe2/python/schema.py,sha256=_La3qdM5jfyas9Q-KMSXLY09ETVHse2hUDqJ-s6tiRo,45158
caffe2/python/schema_test.py,sha256=eAnqnStKEeRLOTIoPVnGT_AO4Z8ji_U4KkuyMsaCX78,14983
caffe2/python/scope.py,sha256=DMDi-7UuvvPgqXVkKzxDOHlvDzG__HtDslut8SVBPUo,3768
caffe2/python/scope_test.py,sha256=UEZfkGWf63SwtS8av7D3OUzGiM4dhjQpidOVNSl1CM4,5430
caffe2/python/serialized_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/serialized_test/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/serialized_test/__pycache__/coverage.cpython-38.pyc,,
caffe2/python/serialized_test/__pycache__/serialized_test_util.cpython-38.pyc,,
caffe2/python/serialized_test/coverage.py,sha256=v7_1SGNDdvfWZZzumKHZnelg4gtXnzFkQ-Mrfnsvnic,3954
caffe2/python/serialized_test/data/operator_test/activation_ops_test.test_elu.zip,sha256=J7aywet7iRLkow4CPFaY9jdxehEdIK_gCCDh8LP5K-s,1192
caffe2/python/serialized_test/data/operator_test/activation_ops_test.test_leaky_relu.zip,sha256=HZMxe7VExMjqWsNr8v0vBZC1eAJFaMfcaw2h7L6gnW0,1200
caffe2/python/serialized_test/data/operator_test/activation_ops_test.test_relu.zip,sha256=nnRiURlZbHhaUvHCb-0G6cPtlr_zRzpxJL57bElCAG0,1166
caffe2/python/serialized_test/data/operator_test/activation_ops_test.test_relu_n.zip,sha256=pmuL_6Z-ldDsiqnf5stn7KaR1jSOkM_sVjRDNugMfzg,1184
caffe2/python/serialized_test/data/operator_test/adadelta_test.test_adadelta.zip,sha256=YKYEmaJZna92xtnzxvCkneUpvDfv11A8koT_OZAcqpo,1167
caffe2/python/serialized_test/data/operator_test/adadelta_test.test_sparse_adadelta_empty.zip,sha256=mnqp3MwJk504z-YrmYkjFs7j4NVN7uM8qXt5RoVnf8I,1209
caffe2/python/serialized_test/data/operator_test/adagrad_test.test_adagrad.zip,sha256=1ZbDnwtLeOzzeYVnpx43fIRM-5uk4H8RMmQa34FMhnI,1121
caffe2/python/serialized_test/data/operator_test/adagrad_test.test_row_wise_sparse_adagrad_empty.zip,sha256=QRx8tA6XIGxCGw-eeg6xJh5ZIXbnnMfKwcEs41qj2Zc,1161
caffe2/python/serialized_test/data/operator_test/adagrad_test.test_sparse_adagrad_empty.zip,sha256=6Zxzzy9bsiXFQkvsI9SkpRgVqlxpD96-ejk4NuCXKdI,1154
caffe2/python/serialized_test/data/operator_test/affine_channel_op_test.test_affine_channel_2d.zip,sha256=uVqkUZZLf6rLWgbTudCAXQTUB5gHd88WEXQBb60r2rk,1299
caffe2/python/serialized_test/data/operator_test/arg_ops_test.test_argmax.zip,sha256=YqaRtfUPvs68Opjy237MrU3Z6OeM6bpVnXEfDK6X-3E,1061
caffe2/python/serialized_test/data/operator_test/arg_ops_test.test_argmin.zip,sha256=kVWX1RnLwhcIX4J0-xxPCR_l3UZxI3v990FmRkdUaZg,1061
caffe2/python/serialized_test/data/operator_test/batch_box_cox_test.test_batch_box_cox.zip,sha256=A5xQBPRKMOPEDKEHTmxUTjKwuEyKoyFWIawQI_WY_pg,1116
caffe2/python/serialized_test/data/operator_test/batch_bucketize_op_test.test_batch_bucketize_example.zip,sha256=-rkfwGNC5rFxAtXNBLiq3fRT3NSXkrEGmyvDBfEpXXw,1265
caffe2/python/serialized_test/data/operator_test/batch_moments_op_test.test_batch_moments_2d.zip,sha256=PoQDMG7rofdeF3oZG_w1ZyinfP-BC3ErZIWUCBkZuzQ,1246
caffe2/python/serialized_test/data/operator_test/batch_sparse_to_dense_op_test.test_batch_sparse_to_dense.zip,sha256=Kv8eHOaboZwgCUkbN4imTQRH48FZYWSJpnNVUJFAUBc,1501
caffe2/python/serialized_test/data/operator_test/bbox_transform_test.test_bbox_transform.zip,sha256=ea56q5rmM37OBsaoTduCO1n-c3cnRYryhxvrDhiDfh4,1254
caffe2/python/serialized_test/data/operator_test/boolean_mask_test.test_boolean_mask.zip,sha256=vF2RMzfXSsHnH6OGH_sTFwThMBf0uClp8PaBv8v2f00,1077
caffe2/python/serialized_test/data/operator_test/boolean_mask_test.test_sequence_mask_with_lengths.zip,sha256=LANNsScyN9qGuuK0crGeLQg_EgFD-HeTxrpRNEr7M64,1337
caffe2/python/serialized_test/data/operator_test/boolean_unmask_test.test.zip,sha256=ZytLFc0bkCKH2GhOWKpV6MVxTywollU60q9c3aKUe4U,1092
caffe2/python/serialized_test/data/operator_test/box_with_nms_limit_op_test.test_simple.zip,sha256=DDFSaN97Te3ytxTrsNS4D4bMTyJIu5HkTwtw_f6RW3Y,1238
caffe2/python/serialized_test/data/operator_test/ceil_op_test.test_ceil.zip,sha256=ajA_0DrHszON9mOmK-2TnFn7kPTIx1D57G4qXh5yvo0,1029
caffe2/python/serialized_test/data/operator_test/channel_backprop_stats_op_test.testChannelBackpropStats.zip,sha256=LvtmMvqJgnPdwUWnw0BeFCmw-_uCDHMRfKpNuhlpNwI,1568
caffe2/python/serialized_test/data/operator_test/channel_shuffle_test.test_channel_shuffle.zip,sha256=1XxZHyry1bz_B9gW3DjMtgmp7UVFbH8cE5fFtLR2Txs,1241
caffe2/python/serialized_test/data/operator_test/channel_stats_op_test.testChannelStats.zip,sha256=3gMqJXMzcetK9AopBgQHVyKE7yRZYLHH931zqByy2do,1275
caffe2/python/serialized_test/data/operator_test/channel_stats_op_test.test_channel_stats_2d.zip,sha256=eVwSxoA6D13gU7NLQhKm4A4qxgx1pxb7UsnfCLBmWcE,1270
caffe2/python/serialized_test/data/operator_test/channel_stats_op_test.test_channel_stats_3d.zip,sha256=F4gBeem90dUWHZAhZXFeXm3t_jBCUugxbwYoQQsSxfI,1270
caffe2/python/serialized_test/data/operator_test/clip_op_test.test_clip.zip,sha256=NZPKPzz06ZtVQNv6qjvmcrTEh5AFBqlYzy7aOEJNNt4,1208
caffe2/python/serialized_test/data/operator_test/clip_tensor_op_test.test_clip_tensor_by_scaling.zip,sha256=CRrnLAXvNf48lJIZtu2IWbvujFp_L6Mu-iELlqeTgYo,1174
caffe2/python/serialized_test/data/operator_test/collect_and_distribute_fpn_rpn_proposals_op_test.test_collect_and_dist.zip,sha256=F8SV8U7Jj31kHC-k-7q0kx3HI20PtF2du1tYDWPCx5U,43168
caffe2/python/serialized_test/data/operator_test/concat_split_op_test.test_concat.zip,sha256=7b1GFbXWott5KxKPCnMZpuNusGpzpILKPudye1J3V-g,1246
caffe2/python/serialized_test/data/operator_test/concat_split_op_test.test_split.zip,sha256=Zf-ae0dzIapkdEu1guc9KJ1LkSjWkvqGa3--ARHbV8A,1226
caffe2/python/serialized_test/data/operator_test/concat_split_op_test.test_split_by_lengths.zip,sha256=w1lHQhl92jitGbF7vcRdSsfSaz0vgtU0W5ASKTvHdjw,1233
caffe2/python/serialized_test/data/operator_test/conditional_test.test_conditional.zip,sha256=G2spFge7O7UcaKU2zmjRN6CgTk_tCzMFlq4vR8Batxo,3409
caffe2/python/serialized_test/data/operator_test/conv_test.test_1x1_conv.zip,sha256=UAIoTlvv8M6tGmb7VmgPxLfr7DkvGueG93EsBl-hFAM,1632
caffe2/python/serialized_test/data/operator_test/cosine_embedding_criterion_op_test.test_cosine_embedding_criterion.zip,sha256=WIY3kTSfXF2SHR2BrsdvUQJsY3soc0rKad_hfWeHGko,1355
caffe2/python/serialized_test/data/operator_test/ctc_beam_search_decoder_op_test.test_ctc_beam_search_decoder.zip,sha256=eBwzzGNNXHSgz6YHnoyZHkvDVL19exYUrKLZxTvAV6c,35452
caffe2/python/serialized_test/data/operator_test/ctc_greedy_decoder_op_test.test_ctc_greedy_decoder.zip,sha256=ckytqESLL_lc-87B16fdgQJIdRL4VtkSVUJVFfE8Nz4,1133
caffe2/python/serialized_test/data/operator_test/distance_op_test.test_dot_product.zip,sha256=IqVVn5PWHnDYkxIot6J802AL_zftxNVHg4_qg03UJ38,1199
caffe2/python/serialized_test/data/operator_test/dropout_op_test.test_dropout_is_test.zip,sha256=u2RggK8gqIAsGvkbskT5_bKsLI9AqEIhIlhn-LiDWXQ,1215
caffe2/python/serialized_test/data/operator_test/elementwise_linear_op_test.test.zip,sha256=9Z6GK-8TbK4ILrVVNhq1U_kJU6lcTO5uXAvm2hV8WpA,1280
caffe2/python/serialized_test/data/operator_test/elementwise_logical_ops_test.test_is_member_of.zip,sha256=uqrONEV2qR-XmDQFpYXcSIVH3E0ogRVeYoI5irqFIJI,1050
caffe2/python/serialized_test/data/operator_test/elementwise_logical_ops_test.test_where.zip,sha256=_BYDAknSvV-1m_sJNZbQ3LSak304XzE8lO_d2NXEaaI,1072
caffe2/python/serialized_test/data/operator_test/elementwise_op_broadcast_test.test_broadcast_powt.zip,sha256=IZlrYKd4_V_PlTNQom3NbdL9l9R0AafZ6aAhAB4iSB0,3427
caffe2/python/serialized_test/data/operator_test/erf_op_test.test_erf.zip,sha256=yMa4Zq4qFDLmiejwLZwynfCnyb7B3cTr2pdqCJ0GiiQ,1156
caffe2/python/serialized_test/data/operator_test/expand_op_test.test_expand_rand_shape.zip,sha256=odVZ4oLkxZoJ-9iobXA2s8KwBVyYvPUkzA6TVicRD1U,1191
caffe2/python/serialized_test/data/operator_test/fc_operator_test.test_fc.zip,sha256=pzObRjUGiJ_DcaPmeAliVqGmoUZDMGNgUqEMieRhGZ4,1219
caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_diagonal_fill_op_float.zip,sha256=7YypoAuGJ8NQZ2qU8IkP4Bq7NpSmP6pH48JBGW2IAw0,1057
caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_lengths_range_fill.zip,sha256=zkyvbmGJykp0PVUQPCdb_obs_tJjWTKaW-3AaJ6tUEI,1054
caffe2/python/serialized_test/data/operator_test/find_op_test.test_find.zip,sha256=7wN6MSA_OnfEdILaGdptIapZWDW15rXmiqKr8H0KLDM,1051
caffe2/python/serialized_test/data/operator_test/flexible_top_k_test.test_flexible_top_k.zip,sha256=Tz1b3yelnPsgbOCk7pJ7vpQCfnbonYssM055R6UFUNQ,1258
caffe2/python/serialized_test/data/operator_test/floor_op_test.test_floor.zip,sha256=LgB1EHHgfjwWpR7olq2R5jv1DgWrcvE1Fkst7OjMTPI,1030
caffe2/python/serialized_test/data/operator_test/gather_ops_test.test_batch_gather_ops.zip,sha256=-6PpgEHG3BS-86UUmzFm2Dze01mxzEs3MWHZy-19zzk,1234
caffe2/python/serialized_test/data/operator_test/gather_ops_test.test_gather_ops.zip,sha256=CeE7ChMgSpM5vumMNxh088-fzFlYRa2a-FoFGEd7PgY,1853
caffe2/python/serialized_test/data/operator_test/gather_ranges_op_test.test_gather_ranges.zip,sha256=Tv-A1-lMtQbaEj16G4lzCPtYZW4nGTWv4H42SrAFE1k,1103
caffe2/python/serialized_test/data/operator_test/gather_ranges_op_test.test_gather_ranges_split.zip,sha256=1kZ32I0TEsEcSOk9N3tI68iPitrxywJfJ82rBHeljYI,1106
caffe2/python/serialized_test/data/operator_test/glu_op_test.test_glu_old.zip,sha256=K8kaeJn-CAOshzcwSbn955TNVwBbj23Q5-Vb_erMO8M,1080
caffe2/python/serialized_test/data/operator_test/group_norm_op_test.test_group_norm_2d.zip,sha256=QhuujnMndnh4ekNBy8WzUw_rA4ijABQDekY4oswJWNk,1433
caffe2/python/serialized_test/data/operator_test/gru_test.test_gru_unit_op.zip,sha256=q4KI9Wvqloz5EUQQV4R2hH4PBlYsUGD_bm7KdX9HVFk,1628
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_cosh.zip,sha256=3st32EjOvND8xx5RuRGsLOqQaWH4zdQwQZE5v63fkwY,1163
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_sinh.zip,sha256=LsX-T-48i-wSFBwfIIifxCJFSWK5JdzJSm8A5N3RLR4,1162
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_tanh.zip,sha256=W1d_DeS8s-5r2miES-ICBIFxbPYTIMlpWqvXRt84_eE,1162
caffe2/python/serialized_test/data/operator_test/index_hash_ops_test.test_index_hash_ops.zip,sha256=2dsiIsLoWlNEqfHNiTBNtYZfAorjKC_D-GWND9nJNnU,1075
caffe2/python/serialized_test/data/operator_test/instance_norm_test.test_instance_norm_reference_check.zip,sha256=Km6snPskitqC4EILGpA4eJvPnwZ6sHfTCnUZeZLlTMI,3032
caffe2/python/serialized_test/data/operator_test/integral_image_ops_test.test_integral_image_gradient_ops.zip,sha256=NMdUTd6gNGeB3ZXntxZ4VqpQv2B6VlAM83ryDM8xOBk,1747
caffe2/python/serialized_test/data/operator_test/integral_image_ops_test.test_integral_image_ops.zip,sha256=5G3p9olOVe9Ri8fRcxYkq8F92YnET3BF5nbC_TvhfIo,1608
caffe2/python/serialized_test/data/operator_test/jsd_ops_test.test_bernoulli_jsd.zip,sha256=YExBx4zmB9b8YBMsRL9VTN9gx75M8x6FBMoYxnwzLTg,1314
caffe2/python/serialized_test/data/operator_test/layer_norm_op_test.test_layer_norm_grad_op.zip,sha256=ymceKujlG8SF0pDnscEz6wco2Tur4KINvYt96v9TK1g,1128
caffe2/python/serialized_test/data/operator_test/learning_rate_adaption_op_test.test_learning_rate_adaption_op_normalization.zip,sha256=bbguT1W6rlATQU15K-7FcWEtoFr2fwibqElWX-wBXco,1107
caffe2/python/serialized_test/data/operator_test/learning_rate_op_test.test_alter_learning_rate_op.zip,sha256=-joDpR4986ukStkqvZ-cg-c522oTR-qV5ZclccKKmD8,1135
caffe2/python/serialized_test/data/operator_test/length_split_op_test.test_length_split_edge.zip,sha256=61mUbPBssAjLHyG_xx7_s6lGm--eyYk5SfdPq6AldWc,1093
caffe2/python/serialized_test/data/operator_test/lengths_pad_op_test.test_lengths_pad.zip,sha256=lYbFwj4o9f66x8lgu44kbHvrFFzdtp3KuB43UFuM7Fc,1114
caffe2/python/serialized_test/data/operator_test/lengths_tile_op_test.test_lengths_tile.zip,sha256=rmA3QyW4-Xw9-3kD0X7ettAduFPaFXQB5hfm5nT_jQ0,1207
caffe2/python/serialized_test/data/operator_test/lengths_top_k_ops_test.test_lengths_top_k_op.zip,sha256=AbGdfJSYYRd6vCnrOU8LfXNFues4sFbTrz0K_hvdylY,1240
caffe2/python/serialized_test/data/operator_test/locally_connected_op_test.test_lc_2d.zip,sha256=sdNn8bAFj8I3RX0bfDMzJ6H_2LndJwd5rsHou0ClhB0,1277
caffe2/python/serialized_test/data/operator_test/loss_ops_test.test_averaged_loss.zip,sha256=pznTisKFS_NjDRs2QDF8FotpCUWynEjwbhPySLNbcn0,1179
caffe2/python/serialized_test/data/operator_test/margin_ranking_criterion_op_test.test_margin_ranking_criterion.zip,sha256=_F4I3KoVTFJqLY2m8aSNArkt-jUa1A6MZcmezftuRBE,1398
caffe2/python/serialized_test/data/operator_test/math_ops_test.test_sign.zip,sha256=SPeb6UyNsY-rhWgRDKrdxtQ90bbk-lCrjk9hZlYRf7k,1027
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_batch_matmul.zip,sha256=AP0zdDX5ZugVW6nogbdSSn6lknFwSa1RkOjrym2Rijc,1393
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_matmul.zip,sha256=kTIs8jQ6gHPKsXuZQU9oYrZZok-iHLz6ZcFo8Hgcl5s,1396
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_numpy_batch_matmul.zip,sha256=7He1ckHhOwxFCfwcS38wL4z26veNLixBthyoPLa8MYg,1118
caffe2/python/serialized_test/data/operator_test/mean_op_test.test_mean.zip,sha256=ShnZsn574s_MyXvsRZIuN2xPL83Ay45_cBFUkStbORY,1165
caffe2/python/serialized_test/data/operator_test/merge_id_lists_op_test.test_merge_id_lists_op.zip,sha256=r2O71DnEctgl2MKHwRd-sHzWMvIm0rA77NDBf4A3In4,1122
caffe2/python/serialized_test/data/operator_test/moments_op_test.test_moments.zip,sha256=aa5maBWc299DiT7pCSG__QYGsb5Y8NqMppwmGWxjFdo,1268
caffe2/python/serialized_test/data/operator_test/momentum_sgd_test.test_momentum_sgd.zip,sha256=ZqmHeiHCU-gnfoGLdmv5bwvduo9icuQukb1_QEOJczw,1187
caffe2/python/serialized_test/data/operator_test/momentum_sgd_test.test_sparse_momentum_sgd.zip,sha256=Bbo5SvTojetZr6ax8a3ZIhC6vDxqmhmd3nXdvq_21Xg,1182
caffe2/python/serialized_test/data/operator_test/negate_gradient_op_test.test_forward.zip,sha256=0YtxOoJJ4IQJ3PFV7VhSiHvhb7fm2nlBH4h7toaJACc,1161
caffe2/python/serialized_test/data/operator_test/numpy_tile_op_test.test_numpy_tile.zip,sha256=Y2DPWq6pNLPimwjwrH2JnTbcKo1Drc5XJ-ML4A6pxlU,1081
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_batch_bucketized_one_hot.zip,sha256=2bIQNZGOI_qMH3v5RhDsczPQCdBNmfPXtiTHVAw5ZEQ,1099
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_batch_one_hot.zip,sha256=Zlsvy0KRu7vLTBnvIqb5zkPJWyE9x4cuv2QL30GABeA,1071
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_one_hot.zip,sha256=OMk3SylueP9tdcRD-WKlLDfCDifxKzufhZIx4PX4xr0,1070
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_segment_one_hot.zip,sha256=NwQVwtYrKiBmzWPQ1ddgoWunraKlBRJC6SNNd8lygG4,1090
caffe2/python/serialized_test/data/operator_test/onnx_while_test.test_onnx_while_fibb.zip,sha256=qpjKZP4QGH5gAblka8QUpNAzD7gn3iQ8V8dzrNDuj0Y,1472
caffe2/python/serialized_test/data/operator_test/pack_ops_test.test_pack_with_max_length_ops.zip,sha256=_2nAsDXxYX8yfCr6jNZf1fCJ5FSk6GlIP_TGR2VaBSw,1341
caffe2/python/serialized_test/data/operator_test/pack_rnn_sequence_op_test.test_pack_rnn_seqence.zip,sha256=6whpS-2NYCV7R_t1-D9uBT-9WXQhQ5WeWirmGmuueik,1218
caffe2/python/serialized_test/data/operator_test/pack_rnn_sequence_op_test.test_unpack_rnn_seqence.zip,sha256=GSrGk5hLICnC6M91dUk1knxUWgRCx3wnKoaMwEZnjw8,1218
caffe2/python/serialized_test/data/operator_test/pad_test.test_crop.zip,sha256=ZhrzE0syxJrdF5uaTM2452li7o27hFa9Pg8hH5F_xdk,3245
caffe2/python/serialized_test/data/operator_test/piecewise_linear_transform_test.test_multi_predictions_params_from_arg.zip,sha256=c_WfeRwaTKq9LqDdYMxngr29vfHniOoGxRAgw5Oz7J8,1139
caffe2/python/serialized_test/data/operator_test/rank_loss_operator_test.test_pair_wise_loss_batch.zip,sha256=XlAAuGx8pMJYfnUwfLqnFR8sJ6xrvGA8aX9K_E0r0mU,1225
caffe2/python/serialized_test/data/operator_test/recurrent_network_test.test_mul.zip,sha256=drOy9x3MSr54PLCBabig6EOHOiy_KZqolbNV0OFXfw4,3684
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_back_max.zip,sha256=tuZysvT3D2JICtyBcReYKAe4h2-NuvVut3Kggtg_u1M,6213
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_back_mean.zip,sha256=DBUbU5JMH3wATf-Lz5DO4D9wL0ZS8RcWg0AGHZv36ZI,6220
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_max.zip,sha256=kkv2CPhnjGmzSFJAzRDU6jXrrvvR7M9H1o_js5Nhq6c,6215
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_mean.zip,sha256=TemxR1f2pEZIfTkQP7cye2ow2ycgbErrdggEkIGVlTY,6204
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_sum.zip,sha256=6M_VEzPjpg4rRqB0ICgKFRD_RhAkvIspyIDf07gyz9o,4406
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_l2.zip,sha256=uDCx_ml8P9lgZE_M73inZ-j1lsL2LX3CWTB_OcxevNQ,1225
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_max.zip,sha256=2SfWAowtCagy9R7-f4d4AIaDi9sFzaViqxoLH5j-Klk,1224
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_mean.zip,sha256=62hAJ5Q0fZ4Fwdj7a5sJuSjlzYMEoYBeommznbHOcck,1226
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_min.zip,sha256=iaEcBm-xLRoPhm4rkRb5I5I5LgSOx2FIqOBhZQ6RXGU,1224
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_columnwise_max.zip,sha256=YevpKV3gIIwqP-Tea5s-nvR4yl-_0rzWMp9Ng9MM0nY,1179
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_int_sum.zip,sha256=U8IEQnV-fKhPPg8UEhr6bs_Xudvas1aziJbkjakT2Dk,1040
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_sqrsum.zip,sha256=aLG1ClKG2sYsMK9wTL_Y2PZ8ErAeBE6x4zPbAjCGvms,1042
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_sum.zip,sha256=KuCcXHOlO6qz8kfukV_GKfGEms05bnjOL1xjJ3f32KY,1195
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_rowwise_max.zip,sha256=5zhOAW7BqwQQg0Z9eKMl7-6GvnB7tvz7d5ZSy6NGuwU,1181
caffe2/python/serialized_test/data/operator_test/selu_op_test.test_selu_1.zip,sha256=uJcP-JLsy3Nm2kOAyHk9NLfHbq1QT3SmbYg6jT-v8ro,1226
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_add_padding.zip,sha256=7ooiax4Ku0fQSzt38q1wHyRn-jT2-ZWfsIuvfxtLscI,1145
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_find_duplicate_elements.zip,sha256=9cut0FPrhxxEZiplR8-Zp9YpV-iXoEnNlUaDcRku3bA,1048
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_gather_padding.zip,sha256=YwQrmzJvfOHXLly_9_rGlJwB4KULSdWGn23xY1bCSvw,1136
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_remove_data_blocks.zip,sha256=_Qsm1pCzTsc_Ao932iDp2bTqv9oOYgBCZUUX9vRkKaA,1083
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_reverse_packed_segs.zip,sha256=1H1-CuRj6HlvQ9pJD5Cdn5tWJrGPQNR_9AtSFSgVF6c,1249
caffe2/python/serialized_test/data/operator_test/sinusoid_position_encoding_op_test.test_sinusoid_embedding.zip,sha256=5BEU9IZWCsovulYRsEu9pCrCcmYWezR4wHap8TaFWLo,1128
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax.zip,sha256=fyiX8nVAXlI8SI2aQicFDIwE5RHfbX_QH8vyEgtrVYg,1176
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax_grad.zip,sha256=_Czv8X3aSOJ_bLE85jjeQUbmUec-5DeifsVServiWaM,1052
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax_with_loss.zip,sha256=J_-ulM_z3es9I0G4FQgGuK8hlUxavGgWCDX48uPmGLg,1360
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_spatial_softmax_with_loss.zip,sha256=Cd9NtIkiKiBJ_GPJp7BfjC_a1d0fMMgTsaa1XKdRBSc,9417
caffe2/python/serialized_test/data/operator_test/sparse_ops_test.testScatterAssign.zip,sha256=ih4drpUBcYPdjpKJ8M2hXFapZEJsLov2w0irl6IhpHc,1090
caffe2/python/serialized_test/data/operator_test/sparse_ops_test.testScatterWeightedSum.zip,sha256=zFC1_193zoJDeQ2uq9iUAz5xLFzbC35pyv_FzBXaGx8,1128
caffe2/python/serialized_test/data/operator_test/spatial_bn_op_test.test_spatialbn_test_mode_3d.zip,sha256=lYGOktqthKgoAK0ncqgD8UuEJayoTWOZ4mbgRLL3WM8,1380
caffe2/python/serialized_test/data/operator_test/square_root_divide_op_test.test_square_root_divide.zip,sha256=fxdOZs3Pxv3Xu_Sw-3ciFPy7DdsQN2SJp3Y5pSe9nok,1223
caffe2/python/serialized_test/data/operator_test/string_ops_test.test_string_ends_with.zip,sha256=YPl2KXjD-HkxP8A0CKPyi88IopHLdN7xvUq34wyrkdg,1040
caffe2/python/serialized_test/data/operator_test/string_ops_test.test_string_starts_with.zip,sha256=wjkJ8Yx8Qyu7qShmJe3m0my2aiGbTsbj-cqBMMjSvWQ,1042
caffe2/python/serialized_test/data/operator_test/thresholded_relu_op_test.test_thresholded_relu_1.zip,sha256=8qxucANAoiiXbYiQRf60ktS-ZTLcdO5a-D0zveoZzYk,1184
caffe2/python/serialized_test/data/operator_test/tile_op_test.test_tile.zip,sha256=6ruH9v7k6HzTThAPu3FQ6PvFTxKiXSnaxmaFbdIwPn4,1213
caffe2/python/serialized_test/data/operator_test/top_k_test.test_top_k.zip,sha256=a8D7nz0bZ5FyWAe4tiPXSYtTII_8lD_FyLX19BHjfOo,1225
caffe2/python/serialized_test/data/operator_test/transpose_op_test.test_transpose.zip,sha256=1-ZJs303U_gsnWsd5-1nuAAM1bONkELKZxs0aNdJqjE,1161
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_acos.zip,sha256=Cb7rzgHlaDr128uBEy0sz-EydcmCG6dIsxIyqqXRawM,1159
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_asin.zip,sha256=KDE1yBEo_84oP3KF3xJ9hFGlIVt7ca5E7iCFiJaADyw,1158
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_atan.zip,sha256=pIrgM2wdHR0SNEXl6N_Pmk5cTm55hBjTlEzJZ-KlFiU,1158
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_tan.zip,sha256=5HKNTEdtTCxEnofiSvWuPFTsjKUl-gl7PWJZnOnweuA,1156
caffe2/python/serialized_test/data/operator_test/unique_ops_test.test_unique_op.zip,sha256=1SPYIVoCeouHH3Ah9WcLFBVefk2OWHPCLfR0y-ef14o,1025
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample.zip,sha256=DKP7pAb0QbNysUrXcuXeYQOTOIJo4XveL4byCPj-hKc,1406
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample_grad.zip,sha256=8HAXSrDG4AbvwxFL2LPyf5ZsDeb6acdpi47E71VnUF4,1314
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_max.zip,sha256=BUKBgrBImocm1UFn-yEhtSOyy6L8V-lQDIcgPtmSAO8,2003
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_max_grad.zip,sha256=xe3g8dwCzAEcX3u57Ic6HVmCBhiW4DKu787LWxP343E,2184
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min.zip,sha256=o-rWMZqyl-qgcuT_Sy2A6wdAtS-iqNi0wCEm27cDitA,1995
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min_grad.zip,sha256=3nQnrult8mmE7e_DtvpyNt6Z07quAf7TByZ8MRw7bBs,2177
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_gather.zip,sha256=R48o5RgYJROKcrtwkdKGhlId1xmbKEobNcBgoMi-HP0,1088
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_to_ranges.zip,sha256=Ka1TN32gwXvxj54UG6s-3l__0XpQMyw-Rh_QT8kVqjk,1055
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_nan_check.zip,sha256=3OvAqPbprqAZiVt65idhMPNGLR0sfz2Qwlrl-g85Z_U,2205
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_size_op.zip,sha256=zJE60iDqTxUMaTZ3n4hb0A1sn385iRJTYXwGLtUm8O0,1048
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_slice.zip,sha256=lPMc1Pr8fuGmZCxaAfK-03WshGiMvAC6sdYDTHXIyFo,1211
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_transpose.zip,sha256=8uUlXQZAFDb8VubiKoydfHkrYaNH0iF7YzV0sBIi-1s,1264
caffe2/python/serialized_test/data/operator_test/weighted_sum_test.test_weighted_sum.zip,sha256=zzaYRjXcG3II8K061zPEn9gq-MVemvRhwGJq940-pYQ,1212
caffe2/python/serialized_test/data/operator_test/wngrad_test.test_sparse_wngrad_empty.zip,sha256=-1f-9kLjVJPwcBPYA3v63lr0xcqxCvleSuuw6iT0HlQ,1154
caffe2/python/serialized_test/data/operator_test/wngrad_test.test_wngrad_dense_base.zip,sha256=wf5uIgPLIK4fcOLrUCCALzqohnalD2wcI1giuM0kr7M,1123
caffe2/python/serialized_test/serialized_test_util.py,sha256=L-m7sXIWJrInEKYnLs28bp6mgjv-ag_Mg54mV2Vw7t8,9403
caffe2/python/session.py,sha256=d6h3Sr0glKko_BvidVIO5dLriM-gopZ_8IO_C2sq7sg,7785
caffe2/python/session_test.py,sha256=nrNwZA7FZgXBRBZUPWIPv1EK1pAEu6cvERw2PDTFcsI,2223
caffe2/python/sparse_to_dense_mask_test.py,sha256=vSu329e7Odrb5VsPqxGIxJVG42EuUN5_yu-OCywlbSI,6710
caffe2/python/sparse_to_dense_test.py,sha256=PwAUfuw9L0pngy4FcKrV_eaGBJ4EtLEaGI6a0bWtO7o,2350
caffe2/python/task.py,sha256=oaGK5L7MUacOyc-zTFrPpVZ7uQY0QDbdtmad9yB_wqc,24388
caffe2/python/task_test.py,sha256=4arZ2v4ZWSu-PBUUTELdCjRabg9Gxi2BrO0OwYOiM14,858
caffe2/python/test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/test/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/test/__pycache__/blob_deallocation_test.cpython-38.pyc,,
caffe2/python/test/__pycache__/do_op_test.cpython-38.pyc,,
caffe2/python/test/__pycache__/executor_test.cpython-38.pyc,,
caffe2/python/test/__pycache__/executor_test_util.cpython-38.pyc,,
caffe2/python/test/__pycache__/inference_lstm_op_test.cpython-38.pyc,,
caffe2/python/test/__pycache__/python_protobuf_test.cpython-38.pyc,,
caffe2/python/test/blob_deallocation_test.py,sha256=dtKmFvWsmVXgg0Lji_K5BPiE7GQnEdnNfi8A-VkiNGw,738
caffe2/python/test/do_op_test.py,sha256=BLw05p3SFyc66LfANhhroVqWKjIpTy1SxjC2MMeHJBo,2161
caffe2/python/test/executor_test.py,sha256=RwQ9-Zr7MPQO8dPnnKet8XFFUMxLjUwI25dRuHK1Cak,3145
caffe2/python/test/executor_test_util.py,sha256=C_cS94O_CG49IPBF5VdeP4uX6LsAi4RygY_L-YT-B3I,8156
caffe2/python/test/inference_lstm_op_test.py,sha256=SNyTlunxl5oMS0o8wNCmw7e_rLhn2h_pvvtxn7NhF9I,2176
caffe2/python/test/python_protobuf_test.py,sha256=wCq59NDbxLAZiZnLG_OHvI70vLF_Hpue9M9uycwvfgw,791
caffe2/python/test_util.py,sha256=-993AQbX2EGC9CtmMpcwJaY-YSUhyYPZFfN_yssHrek,2858
caffe2/python/text_file_reader.py,sha256=sJiQ0Tvt6cT7koLqyTWzajExCtIVvyGXXZ7K7TvIZUs,2135
caffe2/python/timeout_guard.py,sha256=K-UOnHj6uUCXPbXBSdKlKkDlxUbcLBKTuWCYkWIzQYI,3898
caffe2/python/toy_regression_test.py,sha256=YUmh2dDiEkVC32vZpel6glEz3hbqZERcyFHgsofeXVY,2822
caffe2/python/transformations.py,sha256=wlecg_uLHwIGfYoLmxMG_93_AcIdZjFL71RY3MmN_dM,1977
caffe2/python/transformations_test.py,sha256=gaeavyWI7VOlZuQVMjlRAoZ8fngb2e0sC_nWvFQuCiY,12105
caffe2/python/trt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/trt/__pycache__/__init__.cpython-38.pyc,,
caffe2/python/trt/__pycache__/test_pt_onnx_trt.cpython-38.pyc,,
caffe2/python/trt/__pycache__/test_trt.cpython-38.pyc,,
caffe2/python/trt/__pycache__/transform.cpython-38.pyc,,
caffe2/python/trt/test_pt_onnx_trt.py,sha256=T-W5j7svLEXAGPi7QptwiK4ef9GiepK5XTxOjrzW-ro,7604
caffe2/python/trt/test_trt.py,sha256=vHWmTe326vUrOnzxf43DH_ksHhamzH4HSIo6O8ptfgg,11490
caffe2/python/trt/transform.py,sha256=ZJjwcsEKhSKjk2uvze-09XVq2YAZ6U6eFBcnwffA-Ak,3517
caffe2/python/tt_core.py,sha256=zU_RPDxXCWjW01mQHPGieKdgxQ97MRCyfMJ0LhE89JA,9455
caffe2/python/tt_core_test.py,sha256=jLGawMhZfH23lDavpIQ6J2NQloEcge9TO8hb04O5C1A,2663
caffe2/python/utils.py,sha256=RaWugwI-pzi7IchBxqrXFEgmukgkgBLwBG7o6AWtzoA,13928
caffe2/python/utils_test.py,sha256=EeW4cIL09kTZFo4uBi_JpDldMH_epcffBksRojllJYI,1066
caffe2/python/visualize.py,sha256=Q2M5YsueBG0wgr4vlLQFqVQr8nrWmDL051a4WPibS2g,6316
caffe2/python/workspace.py,sha256=pJTQQMVwQlkecJgAVu5FE62X-yYwXBVHPcreXiK8_Yo,24874
caffe2/python/workspace_test.py,sha256=fDnrCnN-uUIsZWQwtYCfifPNgHRMAhtK9iYvf6xPuiw,32789
caffe2/quantization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/__pycache__/__init__.cpython-38.pyc,,
caffe2/quantization/server/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/server/__pycache__/__init__.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/batch_matmul_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/batch_permutation_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/channel_shuffle_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/concat_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/conv_depthwise_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_acc16_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_acc16_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/dequantize_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/dnnlowp_test_utils.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/elementwise_add_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/elementwise_linear_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/elementwise_mul_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/elementwise_sum_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_acc16_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_fp16_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_rowwise_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/gather_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/group_norm_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/lstm_unit_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/observer_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/pool_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/quantize_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/relu_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/resize_nearest_3d_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/resize_nearest_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/sigmoid_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/spatial_batch_norm_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/tanh_dnnlowp_op_test.cpython-38.pyc,,
caffe2/quantization/server/__pycache__/utils.cpython-38.pyc,,
caffe2/quantization/server/batch_matmul_dnnlowp_op_test.py,sha256=J2SUi38XON3vfslG9P_Ev8rOrsoKIMyWnrfy9taojws,10138
caffe2/quantization/server/batch_permutation_dnnlowp_op_test.py,sha256=KHFTeq184ru1F5Y3T_c5Pz_VBs9bumYQiEybP5UOV8A,1475
caffe2/quantization/server/channel_shuffle_dnnlowp_op_test.py,sha256=oi_O17f96yS1rjQ2HH21u5XeIvguf5fJUkj5FM9OxdU,3870
caffe2/quantization/server/concat_dnnlowp_op_test.py,sha256=ThWOLq0I3v1YL_PQ3P9GTqJPw6igf_5ZUHahPtynpaE,3320
caffe2/quantization/server/conv_depthwise_dnnlowp_op_test.py,sha256=xNyrGO_d5UPqVE6HYyuX2YifmYvSohngOnNLXmQT2jI,10884
caffe2/quantization/server/conv_dnnlowp_acc16_op_test.py,sha256=wRKFbv5LXi3PL7BO7hPb7wS9jqXoKS_8IfhyMXUB8x4,14175
caffe2/quantization/server/conv_dnnlowp_op_test.py,sha256=LIXw-QvNnQL3Yt8amdppGgrW90d41aYJ9TFpKDLjgB4,17726
caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py,sha256=7yzwtP8RDnueK2-fgkV7c817oRTyWZpDmkbAOhLftLQ,11668
caffe2/quantization/server/conv_groupwise_dnnlowp_op_test.py,sha256=LlhHo6ulGJqA4VysIk-DvY70c2i0-vA0c59TJjCPgFo,9466
caffe2/quantization/server/dequantize_dnnlowp_op_test.py,sha256=dDCaln6HWVG_zL3gtCAKrluoZA26y2y7nwsGubSt0yk,1798
caffe2/quantization/server/dnnlowp_test_utils.py,sha256=SlUmEs0Rkf07QmHSVsyMh3OFdnk3zAKWEip0-z04aIY,14064
caffe2/quantization/server/elementwise_add_dnnlowp_op_test.py,sha256=ysNP8MnP1HIiYzbJSMiDihwYzpU74i0uoqq7UdsGYtE,6717
caffe2/quantization/server/elementwise_linear_dnnlowp_op_test.py,sha256=yaBNfnT97XTwP_cMkeK4gQ1BVEaocXtGfmO4CNISlE8,3156
caffe2/quantization/server/elementwise_mul_dnnlowp_op_test.py,sha256=UILd_krXltfRKmS_BcvPx8W78wWlMnequM7fP83un7k,6273
caffe2/quantization/server/elementwise_sum_dnnlowp_op_test.py,sha256=VoRhx-7cRBQUxNA2TVeaEnghZuo6rSGqqg7APCmfF2c,9737
caffe2/quantization/server/fully_connected_dnnlowp_acc16_op_test.py,sha256=sUW-N4IFHwySvATbLFRPB7v8iGg51_RN2uuaK-EESp4,8367
caffe2/quantization/server/fully_connected_dnnlowp_op_test.py,sha256=TzqlXqZL3ijxq30ue6Hwh56rUoXvfoA30JFmGe_exKg,7111
caffe2/quantization/server/fully_connected_fp16_test.py,sha256=E1PEzy9dBp8tIzfiRKFzbtF2Q53VHpeRoOVhkknH0dw,2601
caffe2/quantization/server/fully_connected_rowwise_dnnlowp_op_test.py,sha256=NM0FQD_QhTlPklvi5V2cScWV85arTkbLquvYyOOXGaM,5489
caffe2/quantization/server/gather_dnnlowp_op_test.py,sha256=RzPejW2kevwwDMiW8AexNhbz7g6ThvqvCB0-HGEDKyo,2845
caffe2/quantization/server/group_norm_dnnlowp_op_test.py,sha256=XuBvQ_NHBjWz3iiMYy8ePN52m20HkHxMb1A-F9iKnl8,4621
caffe2/quantization/server/lstm_unit_dnnlowp_op_test.py,sha256=-vQCOn8Wzuu8LF8e2iQVp2OpPiW9hSGyqemBRdpTDfU,4001
caffe2/quantization/server/observer_test.py,sha256=FFqCHvArtrch7Mhu_W6bEwnyTm_hxT3hdTyOXqonPzE,963
caffe2/quantization/server/pool_dnnlowp_op_test.py,sha256=iU8y5KFHGRLMVNPpVmWlKSHTrJoViY0WLUFAjTlIPyM,6180
caffe2/quantization/server/quantize_dnnlowp_op_test.py,sha256=uJV3S0q_sVyqVEZvvrZfJFoy2_ewlouH8fyPYZxDjlM,1821
caffe2/quantization/server/relu_dnnlowp_op_test.py,sha256=Yp1lwNGYxsWryKSqpMIt_3m7g_Bogq9hFFswqOE2-x4,2473
caffe2/quantization/server/resize_nearest_3d_dnnlowp_op_test.py,sha256=JFE5eAifSSqtJjWSRPB0TrBxh99UrvcbZs0WLc5rxEA,2316
caffe2/quantization/server/resize_nearest_dnnlowp_op_test.py,sha256=j8mQjmF7DWz4PZYsnb2-vXmKSB0WY3uc8O1vRRqIi_8,2020
caffe2/quantization/server/sigmoid_dnnlowp_op_test.py,sha256=O21jebEj3TqLc2LSWb9zo6GxsI7nb84u5tZBtB8qy6I,2285
caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_test.py,sha256=JoVHJS_F1AFkblSOJwHwNevvJWyNnwnFr_omXzLCY-Q,4149
caffe2/quantization/server/tanh_dnnlowp_op_test.py,sha256=4rX_G_UvchJwhilCjP5-9uT8o4rUNsaTGUsgc6w3fL0,2213
caffe2/quantization/server/utils.py,sha256=jeD8jtJVOlcnWLuzmR8f5hzNHuBlerTykzpv3ppH9yE,16117
torch-1.4.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
torch-1.4.0.dist-info/LICENSE,sha256=XJpvQL9ol-RoTX9YP5dTVNxV5zrt0Qq7viZdPRA_-7Y,3145
torch-1.4.0.dist-info/METADATA,sha256=5rcePeVF2ezEeo7rsCZ7xJxL9a8ayX-hdKyHYWt2d0w,1346
torch-1.4.0.dist-info/NOTICE,sha256=ls8G3nLDnAHkc51pu0RbqFyT2N95B4X3KaDp99SqIck,16290
torch-1.4.0.dist-info/RECORD,,
torch-1.4.0.dist-info/WHEEL,sha256=TpFVeXF_cAlV118WSIPWtjqW7nPvzoOw-49FmS3fDKQ,103
torch-1.4.0.dist-info/entry_points.txt,sha256=tBq08xjcH6FU5Cd99g_eDv6XmGLc7aO1BsAza1OiF0o,167
torch-1.4.0.dist-info/top_level.txt,sha256=uHC5XEIL5DFf-nwoASf9DqxKXwF1F-MWCjhViLjmUHA,13
torch/_C.cpython-38-x86_64-linux-gnu.so,sha256=HFy8yYWTgUVcELVaW6zA0s0DoecVjHFVIfRWeAvoCoo,15864
torch/__config__.py,sha256=fCcJbXhPaXoYltR2iSlcSd5CCFcBig_puGfga6EaIOs,450
torch/__future__.py,sha256=C0IDWmqnbkDgTdDUDMRP3_uW5-8joMyBoF0stq7-vDg,813
torch/__init__.py,sha256=Z0duamDACiUGnGE5-deHInswod8csVxZKbjseeeQ1Hw,10539
torch/__init__.pyi,sha256=E17tykavnhLXCTEzq4aYNn9buQ2YRkEmImSMI4lAYJQ,119221
torch/__pycache__/__config__.cpython-38.pyc,,
torch/__pycache__/__future__.cpython-38.pyc,,
torch/__pycache__/__init__.cpython-38.pyc,,
torch/__pycache__/_classes.cpython-38.pyc,,
torch/__pycache__/_jit_internal.cpython-38.pyc,,
torch/__pycache__/_namedtensor_internals.cpython-38.pyc,,
torch/__pycache__/_ops.cpython-38.pyc,,
torch/__pycache__/_six.cpython-38.pyc,,
torch/__pycache__/_storage_docs.cpython-38.pyc,,
torch/__pycache__/_tensor_docs.cpython-38.pyc,,
torch/__pycache__/_tensor_str.cpython-38.pyc,,
torch/__pycache__/_torch_docs.cpython-38.pyc,,
torch/__pycache__/_utils.cpython-38.pyc,,
torch/__pycache__/_utils_internal.cpython-38.pyc,,
torch/__pycache__/functional.cpython-38.pyc,,
torch/__pycache__/hub.cpython-38.pyc,,
torch/__pycache__/quasirandom.cpython-38.pyc,,
torch/__pycache__/random.cpython-38.pyc,,
torch/__pycache__/serialization.cpython-38.pyc,,
torch/__pycache__/storage.cpython-38.pyc,,
torch/__pycache__/tensor.cpython-38.pyc,,
torch/__pycache__/version.cpython-38.pyc,,
torch/_classes.py,sha256=6hHNRAPk2T_c-FgF8XyMHqYNxPH2WrVxuWXW46nYoXI,177
torch/_dl.cpython-38-x86_64-linux-gnu.so,sha256=LCopv_aIiY93xM7fSysSBdGFTs6iJLEQJVkWYdPA3Qk,16360
torch/_jit_internal.py,sha256=xNvkUJFPtC_VDenmkRElEL503pnhGGPjNqmaz4jx_Fo,24644
torch/_namedtensor_internals.py,sha256=t7iybITjvz0BHwU4bgyxqpez9h8rGMu7q5A9-fYMMyM,5757
torch/_ops.py,sha256=H3NXX9WxPySIBKkmQxbVMUqgBlXv0tw7urBdf2d4cZ0,4311
torch/_six.py,sha256=C4UGzNfu8kJNZV6ctkoOHIHzyEgaxmWtxu7e1OV9FIk,4751
torch/_storage_docs.py,sha256=o7EIGNKCQGQDSWTflhJRhnA9AoZFYPAbehfEFGPSaYU,1235
torch/_tensor_docs.py,sha256=w3WWFgUDvBsmh_1iHTx41avl69UfDCfZDbcOemmHzGQ,82755
torch/_tensor_str.py,sha256=XXaeKuZ1xcaomoPyx9UP2dzwHLbKGS5mb4BIp2m3G98,13668
torch/_torch_docs.py,sha256=y7BsnuN3ZzvjiP7aWgczzrgKq1c-XU7muCsGKooRstM,230901
torch/_utils.py,sha256=61gN98EWxQivLu2iLXMhKQFW5YmqQFP8niCZOjKr9bI,15788
torch/_utils_internal.py,sha256=Ez5I-nO_Y82C5y0UODfcqZkgW-SuVjFSnO6gl1EGyyA,1604
torch/autograd/__init__.py,sha256=31b-64HR6UNfdckeN91Ta9kIYYx-QeVcV-Bt3PpBX3A,9016
torch/autograd/__init__.pyi,sha256=2zC-ZCYyb3AGWPtiO4x92L8KUzbazT2DrSRyTfTqvm4,2667
torch/autograd/__pycache__/__init__.cpython-38.pyc,,
torch/autograd/__pycache__/anomaly_mode.cpython-38.pyc,,
torch/autograd/__pycache__/function.cpython-38.pyc,,
torch/autograd/__pycache__/grad_mode.cpython-38.pyc,,
torch/autograd/__pycache__/gradcheck.cpython-38.pyc,,
torch/autograd/__pycache__/profiler.cpython-38.pyc,,
torch/autograd/__pycache__/variable.cpython-38.pyc,,
torch/autograd/_functions/__init__.py,sha256=6BwfWeLvhH2iJdsJfj7iy1EfuQUt5z8_8mcVCJkuvDA,22
torch/autograd/_functions/__pycache__/__init__.cpython-38.pyc,,
torch/autograd/_functions/__pycache__/tensor.cpython-38.pyc,,
torch/autograd/_functions/__pycache__/utils.cpython-38.pyc,,
torch/autograd/_functions/tensor.py,sha256=gKiOUItLquujq3WzUwCFp8DZE-uQ8VlL3SXOfQRtK_o,1691
torch/autograd/_functions/utils.py,sha256=_WIEGu5CiXBuAnPJQNSLJBKs_ybe5U9Z7rIsdrHD_jU,2031
torch/autograd/anomaly_mode.py,sha256=tcuSWwi_Gb6sX7oPoFGDqMPlcC6Bbl6asbCZqGQspc4,4000
torch/autograd/function.py,sha256=t7oYEej1MhHndlP9OksPHYd_UcIp3uCC84X1wnuFye4,14644
torch/autograd/grad_mode.py,sha256=8tbXXhV7HdzaJcIsrJt-1lwMjW4fAS3FQCBT6L-Akho,4001
torch/autograd/grad_mode.pyi,sha256=0vbFAlbyGo4362v9ZslY5_qxuE4lNFOg_XdzfRdm_Rs,707
torch/autograd/gradcheck.py,sha256=tshULQt_CrmE7F1BN-B6CEnuRPmFYQwxA_LF9ABuExI,18424
torch/autograd/profiler.py,sha256=qn1z41RT0fbxuDJ6Q1ALh5xZwePp85MztNGddtIBtBA,34379
torch/autograd/variable.py,sha256=dbFkeF2fbzz8Iet01ttTsoroUx7fOWLflYJrJTrI6vk,361
torch/backends/__init__.py,sha256=MupoiwtlWhQ8d5n1y57Q9ayHFs8Jb9FWPLH1UDOvYc0,1469
torch/backends/__pycache__/__init__.cpython-38.pyc,,
torch/backends/cuda/__init__.py,sha256=dil3Fh0O-H6jZCkZSLd-2IIoPsVsGmg7J3pxHIX7BSo,3645
torch/backends/cuda/__pycache__/__init__.cpython-38.pyc,,
torch/backends/cudnn/__init__.py,sha256=TgI2KgEXDELCwsrNmHXCmFqyncgIkYApseOpIOK7sXA,13649
torch/backends/cudnn/__pycache__/__init__.cpython-38.pyc,,
torch/backends/cudnn/__pycache__/rnn.cpython-38.pyc,,
torch/backends/cudnn/rnn.py,sha256=A2vkJHIMh3v9pMTGlGXngmPzyx8EIVkM8NU8OHc2Tl0,1683
torch/backends/mkl/__init__.py,sha256=1DlHk9fCOkXfrjE34hSYND6UAhgc_G3ONZlm1f6hxI4,125
torch/backends/mkl/__pycache__/__init__.cpython-38.pyc,,
torch/backends/mkldnn/__init__.py,sha256=GV7Myu9wdiK5zxLyD7D2Z2KNoXuroRsfsMsWwnoL2ac,1061
torch/backends/mkldnn/__pycache__/__init__.cpython-38.pyc,,
torch/backends/openmp/__init__.py,sha256=kk55NHvlEJ5XmIxXw3j-TDieIbQwqddg11rBxNe75WY,131
torch/backends/openmp/__pycache__/__init__.cpython-38.pyc,,
torch/backends/quantized/__init__.py,sha256=LePfgtHVxw4MELIJ-3EPASfe_MfqWgz--NttPdqCStI,1776
torch/backends/quantized/__pycache__/__init__.cpython-38.pyc,,
torch/bin/protoc,sha256=8-0h0cFVScs-aHFvNsSxXHNHBs2LIkAIjSDHG66UC24,3941496
torch/bin/torch_shm_manager,sha256=wKpZ-h840EAWOBBF4cxB0bj1wjatdDIHQe5RuTQj8OA,52952
torch/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/contrib/__pycache__/__init__.cpython-38.pyc,,
torch/contrib/__pycache__/_tensorboard_vis.cpython-38.pyc,,
torch/contrib/_tensorboard_vis.py,sha256=7NOVmV5R9eFUGrIWdV469AsVK4iWPsoVw6PoG8ue420,5852
torch/cuda/__init__.py,sha256=Yn7BjsxF77YTlhM6NpkqiqLbMdfwO566Q2dEadccQWQ,17954
torch/cuda/__init__.pyi,sha256=pBQzhGRJ2u5mzLzjmeSS5vCaNkwoACBvKi1BcYHQL4M,1503
torch/cuda/__pycache__/__init__.cpython-38.pyc,,
torch/cuda/__pycache__/_utils.cpython-38.pyc,,
torch/cuda/__pycache__/comm.cpython-38.pyc,,
torch/cuda/__pycache__/error.cpython-38.pyc,,
torch/cuda/__pycache__/memory.cpython-38.pyc,,
torch/cuda/__pycache__/nccl.cpython-38.pyc,,
torch/cuda/__pycache__/nvtx.cpython-38.pyc,,
torch/cuda/__pycache__/profiler.cpython-38.pyc,,
torch/cuda/__pycache__/random.cpython-38.pyc,,
torch/cuda/__pycache__/sparse.cpython-38.pyc,,
torch/cuda/__pycache__/streams.cpython-38.pyc,,
torch/cuda/_utils.py,sha256=WvWZVvHsXb9fgBkC1Peu977OpknPk68j1T31dcfDAtU,1351
torch/cuda/comm.py,sha256=mih3Tk35-5LPpK9X0Otjf2jEtWFMA7hwVuXDfisJmkk,6778
torch/cuda/error.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/cuda/memory.py,sha256=karEk03fW6FZUSVfblsc_Oa5jmVp445WJH5Jr-vAnIU,15464
torch/cuda/nccl.py,sha256=VCQREhTG5gLbtODj7GtD5sxHEPvXcTrnSSkRucwO4nw,1644
torch/cuda/nvtx.py,sha256=U5QGr2JvYbazPxomsECJ-QP8I-2d_pTl5SlxKDIKALY,2033
torch/cuda/profiler.py,sha256=OGOlGMq2EOJO2piuZ5Gl4eXqeuxTmksvO8yLBOAB_k0,1365
torch/cuda/random.py,sha256=gCQIee3wkiZh3ablO5y4qJY1qTUmYDBFiHVvKCBa2Vc,4922
torch/cuda/sparse.py,sha256=H912FRisikGM9SSVDQQq-YX5TNIilBYBZs1AwmIv3GQ,67
torch/cuda/streams.py,sha256=p1EoJTXoD4zqv9Jgt8NUSEMYHXu0Tgb533qu8aJBoe0,6718
torch/distributed/__init__.py,sha256=xtald96IEJBmX03StYawtzfZU-PPePDFqgrxezlBN2s,535
torch/distributed/__pycache__/__init__.cpython-38.pyc,,
torch/distributed/__pycache__/distributed_c10d.cpython-38.pyc,,
torch/distributed/__pycache__/launch.cpython-38.pyc,,
torch/distributed/__pycache__/rendezvous.cpython-38.pyc,,
torch/distributed/autograd/__init__.py,sha256=EUIoWIcJfJKpk5SBKfGa3mKuNFUUZItE8Al37LeS470,1363
torch/distributed/autograd/__pycache__/__init__.cpython-38.pyc,,
torch/distributed/distributed_c10d.py,sha256=cGWkK6gNAqWAJTrlNqla9cXYf6A0e1Ix1xXp6H1hsRQ,51664
torch/distributed/launch.py,sha256=1J7ku5Yqmhprv3bzu-ktaxQfDS-1lZHxO6IQv7na-pw,10890
torch/distributed/optim/__init__.py,sha256=2IVn9-Ln30zs132_0Mawx1oNWiKuJjsA0GCYC4fTnO0,394
torch/distributed/optim/__pycache__/__init__.cpython-38.pyc,,
torch/distributed/optim/__pycache__/optimizer.cpython-38.pyc,,
torch/distributed/optim/optimizer.py,sha256=MXeXI82pxjlwuFrp6o5GRuohBUzOMlJkGhFXnCO3-U8,4826
torch/distributed/rendezvous.py,sha256=nE01l5hNjncqmsluoiihJUYV6zyFuiafhDvuQgqimgg,6103
torch/distributed/rpc/__init__.py,sha256=H2_g5l67h22F0900M3Z_Caq9cfIU8rf0Ec_LaZp8VXI,2976
torch/distributed/rpc/__pycache__/__init__.cpython-38.pyc,,
torch/distributed/rpc/__pycache__/api.cpython-38.pyc,,
torch/distributed/rpc/__pycache__/backend_registry.cpython-38.pyc,,
torch/distributed/rpc/__pycache__/constants.cpython-38.pyc,,
torch/distributed/rpc/__pycache__/internal.cpython-38.pyc,,
torch/distributed/rpc/api.py,sha256=gBUf8-wCghiKNGqVboG2uX4F5C9Y37g2hs5b8DGOYMU,12170
torch/distributed/rpc/backend_registry.py,sha256=KH8pwZ0i0qqlG7mNmkSMaqM5M-eqckxjCQYDgnQ0wv0,4444
torch/distributed/rpc/constants.py,sha256=xLdMMe2riodNTZg6X6i0JmEjX0rKUyVBV6zFMZPvqrE,189
torch/distributed/rpc/internal.py,sha256=UMFrcXMVYe6T8dfVtin5ocgqp7U9s-mrZoBWN8_5xws,5116
torch/distributions/__init__.py,sha256=PqDmJtRIVQFGMActpyQVKKx82biOwY9YLQWe43-_quc,5453
torch/distributions/__pycache__/__init__.cpython-38.pyc,,
torch/distributions/__pycache__/bernoulli.cpython-38.pyc,,
torch/distributions/__pycache__/beta.cpython-38.pyc,,
torch/distributions/__pycache__/binomial.cpython-38.pyc,,
torch/distributions/__pycache__/categorical.cpython-38.pyc,,
torch/distributions/__pycache__/cauchy.cpython-38.pyc,,
torch/distributions/__pycache__/chi2.cpython-38.pyc,,
torch/distributions/__pycache__/constraint_registry.cpython-38.pyc,,
torch/distributions/__pycache__/constraints.cpython-38.pyc,,
torch/distributions/__pycache__/dirichlet.cpython-38.pyc,,
torch/distributions/__pycache__/distribution.cpython-38.pyc,,
torch/distributions/__pycache__/exp_family.cpython-38.pyc,,
torch/distributions/__pycache__/exponential.cpython-38.pyc,,
torch/distributions/__pycache__/fishersnedecor.cpython-38.pyc,,
torch/distributions/__pycache__/gamma.cpython-38.pyc,,
torch/distributions/__pycache__/geometric.cpython-38.pyc,,
torch/distributions/__pycache__/gumbel.cpython-38.pyc,,
torch/distributions/__pycache__/half_cauchy.cpython-38.pyc,,
torch/distributions/__pycache__/half_normal.cpython-38.pyc,,
torch/distributions/__pycache__/independent.cpython-38.pyc,,
torch/distributions/__pycache__/kl.cpython-38.pyc,,
torch/distributions/__pycache__/laplace.cpython-38.pyc,,
torch/distributions/__pycache__/log_normal.cpython-38.pyc,,
torch/distributions/__pycache__/logistic_normal.cpython-38.pyc,,
torch/distributions/__pycache__/lowrank_multivariate_normal.cpython-38.pyc,,
torch/distributions/__pycache__/multinomial.cpython-38.pyc,,
torch/distributions/__pycache__/multivariate_normal.cpython-38.pyc,,
torch/distributions/__pycache__/negative_binomial.cpython-38.pyc,,
torch/distributions/__pycache__/normal.cpython-38.pyc,,
torch/distributions/__pycache__/one_hot_categorical.cpython-38.pyc,,
torch/distributions/__pycache__/pareto.cpython-38.pyc,,
torch/distributions/__pycache__/poisson.cpython-38.pyc,,
torch/distributions/__pycache__/relaxed_bernoulli.cpython-38.pyc,,
torch/distributions/__pycache__/relaxed_categorical.cpython-38.pyc,,
torch/distributions/__pycache__/studentT.cpython-38.pyc,,
torch/distributions/__pycache__/transformed_distribution.cpython-38.pyc,,
torch/distributions/__pycache__/transforms.cpython-38.pyc,,
torch/distributions/__pycache__/uniform.cpython-38.pyc,,
torch/distributions/__pycache__/utils.cpython-38.pyc,,
torch/distributions/__pycache__/weibull.cpython-38.pyc,,
torch/distributions/bernoulli.py,sha256=s0LTt4vPDy7KqQtuUAOPG26HRfkNoWn-4F4I-P0zuck,3904
torch/distributions/beta.py,sha256=0-GuJB_tdxxPF0R4jxL2MwLCWMhQ1WuHVyyR5S2IlXI,3375
torch/distributions/binomial.py,sha256=xNnFT8B4s-CODBIJ8JYFqM5G2rI4qSj37Hsdf5YQRWk,5950
torch/distributions/categorical.py,sha256=3rlekZqz7TR6BikMWC7Mqnt4zKibtf7UFvIUC7Xfxss,4866
torch/distributions/cauchy.py,sha256=QIV2oUrG4F7tTaUnfNaHWAP2k9BToYMRYnnMLEHv91c,2787
torch/distributions/chi2.py,sha256=SgRNqYhuWgsHDzVrwSO8NUQE-rkNdf08pARTyrDoTdk,909
torch/distributions/constraint_registry.py,sha256=Tn7t7AzYoduS9UvSc2GjCBV_J5JBhRrwQz0eyTl6zOQ,9529
torch/distributions/constraints.py,sha256=-J8vmOp5aPZgkmLCQe8AGa5rjSR9Dr69ITaZnHb-7Vg,10674
torch/distributions/dirichlet.py,sha256=6xwJnCVg9VEw5qK2EwdnCKx123mWzDA2W-be0vVFX0w,3556
torch/distributions/distribution.py,sha256=DI0Ev3fo49o-BrrUpBpnt4TXvcFtRVu4dngAGTpchjQ,9659
torch/distributions/exp_family.py,sha256=hKCUBkqxL-1KNIM8C6UzggShjDuQk6u2wynM9owTw2s,2275
torch/distributions/exponential.py,sha256=4wlvmlm7Jha4ZnBWnv_wPC5xPTVBUbWoA5pUt1zOE1g,2598
torch/distributions/fishersnedecor.py,sha256=zD3S7VwxQKJeeP1usu9IGoOZtHuB3ZodpUC9HoDBiCI,3152
torch/distributions/gamma.py,sha256=y7Rt8cbG-od5Zbx9Evx2X8QfTjskX-4fircwaBpiuSI,3121
torch/distributions/geometric.py,sha256=iOE19VV2ayOS7qiHcBQHZu0ohXclbdZmrX94QmU694o,3803
torch/distributions/gumbel.py,sha256=CyPWQ_aXvz4hBZjP3DjR_buN9d4ruqZZmV6PPVDoa1I,2582
torch/distributions/half_cauchy.py,sha256=lPQ7HOW0_ScoFXoIv964IhRZ8PqG01IX8Zjyf2KHPiE,2015
torch/distributions/half_normal.py,sha256=CwYYQFX4kzlzclZ_JC07zfRUnn3Qju8rVjJZ4H_hYcY,1891
torch/distributions/independent.py,sha256=zk3FlA_H2yqCyWg4awnEm4xdXH9vdAsfXhbUbwSdBU4,4019
torch/distributions/kl.py,sha256=8rRNNZgmPsuB_nPSjZu1IK5pUggIdy_UNDkZsmmHYf8,27313
torch/distributions/laplace.py,sha256=ya-_bH3-9ZDCcvGd_iHruHkqN642npTjBM_GnZnTfeo,3127
torch/distributions/log_normal.py,sha256=2MVoroE0Y295P_kWQVVhawH8Y-Et8TpRLUk7r-4muKI,1743
torch/distributions/logistic_normal.py,sha256=mGUjGsNR8SJuBA-Gp6psICneK17_ctYrkkMxb28Jhnw,2013
torch/distributions/lowrank_multivariate_normal.py,sha256=dZWsjxR9O0w3ClmZtXFTEw4mzC7IeMdStcfNSQkMuYE,9831
torch/distributions/multinomial.py,sha256=SBXDPUs7KAZLjQRkpJ3jOcFy1aF4Vr4MXoyXmTphu0M,4299
torch/distributions/multivariate_normal.py,sha256=YYS-li_SvarFHG4X-pQ5XHJDovbCoHhOYYIz7U9HT_E,10367
torch/distributions/negative_binomial.py,sha256=LvGk6lNQd70QPJekRaFnwDuGALAIr3flSVs28S-ZVE8,3956
torch/distributions/normal.py,sha256=zCNCAw71Ru-TJWvHocSEowE1zvGObC-S-uy1mEXXAVw,3401
torch/distributions/one_hot_categorical.py,sha256=ZctTNcqDrNGfS9CM9EMDeHiREcbYeF3OsDlFVPYfNb0,3361
torch/distributions/pareto.py,sha256=yLmvhAIDI-Z4Zd6wk8hi_fGNFrNJ5SbD2kNxWK4zJtA,1996
torch/distributions/poisson.py,sha256=ZhSUGnTCelNVLlW2QId399YKWSOfCkGLIrQw1JL8-SM,2066
torch/distributions/relaxed_bernoulli.py,sha256=DNbnhuL_VeobFkJgoMAZBuV06Jd3YvWkNIEPZ1TAOBc,5360
torch/distributions/relaxed_categorical.py,sha256=e2UkzVFbmJ1UsR7PZML3oiDmwF1MWTLl-RC5CyOdt9E,5079
torch/distributions/studentT.py,sha256=2ziZzNh3f1srDL3ZgjumEI5mJUntExkrW4_5oELi2GY,3550
torch/distributions/transformed_distribution.py,sha256=r5Nxr6I__2VpwSw7zcwCCXYEjwNwfVnFB5auB8kkh8o,6589
torch/distributions/transforms.py,sha256=vtpOIhFKLu48x0hZKTPyv1ufh6chrOpEPCH6b3eriVc,21729
torch/distributions/uniform.py,sha256=rBSvRq2ZZm5ga5xzNX9CMCIq-EVyfKTaVN3q3MPN9vA,3066
torch/distributions/utils.py,sha256=WKZl90kSYDsyfOgHgtNmkTCyjWHvLvgRKDN31kg77_Q,3829
torch/distributions/weibull.py,sha256=kJ6YJRO_1_XSGUe0UV5Jc4hVDOO3laE7StI8xRTYISc,2825
torch/for_onnx/__init__.py,sha256=yeSnYRIZb8wbAiif5q5sZ0isrDWy8J40jtYDOkQz6LQ,20
torch/for_onnx/__pycache__/__init__.cpython-38.pyc,,
torch/functional.py,sha256=XBuc_ePkHZSH1kUr_GryXt-NF9jtAqDfPs5CTUgfWJQ,37539
torch/hub.py,sha256=HASZmkoyowTc1kJyBS0cyb03Jd10tdStq5LHEY-C-_U,18793
torch/include/ATen/ATen.h,sha256=txxragqX5WgwAoG6vXvlpd9hk6JnpAmlD4y2XZt0MsI,777
torch/include/ATen/AccumulateType.h,sha256=lv5yYQKjsaHQhzjvLn08pgCzGi4ZYtvrCkfUD4dajlc,2038
torch/include/ATen/ArrayRef.h,sha256=Oj53usfNJkz8L3fSOjmE20rpC0NUjhOVz4bmu68R28w,44
torch/include/ATen/Backend.h,sha256=uKLWU9cBX4ldaPyhSACkAAe1BDHaJFKAS8yVHexzEuo,43
torch/include/ATen/Backtrace.h,sha256=iQwNYKFPK-sNKn5Ngwy2vzkESKV84wJSLIQD1O7GGxg,46
torch/include/ATen/CPUApplyUtils.h,sha256=rj3NEpqCEmLx6nZXAJ8bY9NgxkO_15xlmHmDgEd-UXA,12985
torch/include/ATen/CPUFixedAllocator.h,sha256=cAizcNNOwwD69qY5WFKZlzhLWXifjQerfitUkR6IJO0,817
torch/include/ATen/CPUGenerator.h,sha256=ujV9zEhlFRxWcgDKYABlwSIAHnli14E3IEI0YFKCRWM,1285
torch/include/ATen/CPUType.h,sha256=XYW1edRLEkqHr0PDAjAJ6xMfn3WwPR_9D8PbqyspzM0,57223
torch/include/ATen/CUDAGenerator.h,sha256=iGoN-PQxpk1dUu4HpYUnD2q3A3n0T43jTfhSblOvyAE,1032
torch/include/ATen/CUDAType.h,sha256=ZGTJ5nuWJVl5pO2Womyxd6tdNQBJPCTtIXgCtDkyv3Y,67211
torch/include/ATen/Config.h,sha256=_vvPoBK1DLGuMSxZh_rQrpxtABHyrEELsPKxMAk54PA,460
torch/include/ATen/Context.h,sha256=F9Tspyc_ku_JF1J0kW96sL0G2wO083GocQ9BGH39Ah8,6944
torch/include/ATen/DLConvertor.h,sha256=ElObB_welYhyU0iO51nkikd7kora2vrkn30pgx73Ri0,581
torch/include/ATen/Device.h,sha256=woU2HH6ul-aOLsILb-xFTxGbtA7mGnaMaJzzB-CrlBI,42
torch/include/ATen/DeviceGuard.h,sha256=tskYWs95SLVfj1gAfX5eDn7io5siBgU3Ypg0nGp7Dxk,986
torch/include/ATen/DimVector.h,sha256=hDtEu7TLm-rmIlopY3DudvGcP7BopSyWYAoce6SRrKM,46
torch/include/ATen/Dimname.h,sha256=ODvWq78JatYnrvxjZb8taxy-nOBOC6VE0sZnSpxiwFs,31
torch/include/ATen/Dispatch.h,sha256=GHijox3IT2X6J62uahGCLe4Ukw65LmLB28vEPqvowxY,32625
torch/include/ATen/DynamicLibrary.h,sha256=bI_sXoVmC5ltfgBFcbcd2v0lHc3wBPiKd3sq-K_EK-c,340
torch/include/ATen/ExpandUtils.h,sha256=WdXNn0JQv3LpIdprtYOrC0DmtmAZHKUPxkDgWFjtaO0,6516
torch/include/ATen/Formatting.h,sha256=u9t8xVe-WAEXzWvHqFJ93K566ukel9wsbLhSEUeEqyc,34
torch/include/ATen/Functions.h,sha256=jf8PNQojmJEr5ttQuf-tGWxpUN840LmwnY7c0wzoTfc,991218
torch/include/ATen/Generator.h,sha256=KBeu-DIZBnbAWTvlDIPNIA7PMY3wFODHbAR0l-kToLc,46
torch/include/ATen/InferSize.h,sha256=e5VjPMWnha5EqcySpELVEfpewlj6aL0KLGhJRf3ZBcY,1705
torch/include/ATen/InitialTensorOptions.h,sha256=zbVnz7ovJlkE9izEhUuO9xlGTMiHMIbCCEGpvAX92Xs,445
torch/include/ATen/Layout.h,sha256=l9TpZf-gLtmQbbV7_dn0UFiOuV88PVS7V047YMCtM-A,42
torch/include/ATen/LegacyTHFunctionsCPU.h,sha256=UFoYKWD1BvbMyi2NUjmvAlIO2khZ4SZamqgDwGt28Yo,20906
torch/include/ATen/LegacyTHFunctionsCUDA.h,sha256=GH7LCDmvTuVX590ibAjuXdR3v6iwCEuhfeCDJUSI4I8,26538
torch/include/ATen/MatrixRef.h,sha256=Nvlc-ngj672FnsLo7s6n6B9S2BjB3dNf614X1BEfF4s,3016
torch/include/ATen/MemoryOverlap.h,sha256=SoTe6qHxj4DIlfBwvcpHe9A0ZWzisPIwWaIsvY2om4k,958
torch/include/ATen/MkldnnCPUType.h,sha256=4CgccjV7VxrbF485rc9ex_fIf66UPy6G5aEvQwniuY4,3172
torch/include/ATen/NamedTensor.h,sha256=DMs7TFFl5X2V_3sRIg9-qaiiC94x9s0n0SEdYf2SaHE,35
torch/include/ATen/NamedTensorUtils.h,sha256=0oMaRlr20oUo3P07r4pHdwxO5KeorAh_5EWUYuflgbM,5515
torch/include/ATen/NativeFunctions.h,sha256=TFwtrchfkiqxTcr3mVWf9KbvbHlrAe3FmXtrvD0hjnQ,182265
torch/include/ATen/NumericUtils.h,sha256=3YTa8BmnI7rNZukIpy7Zh9Fjx84QKokaWfKUKoDMeFs,1110
torch/include/ATen/OpaqueTensorImpl.h,sha256=E4MjRFGqRiFEZY9QQG8b1--jFStd6uWXyxLOsXeAC70,4696
torch/include/ATen/PTThreadPool.h,sha256=RFJLkNolq98CEC3Hvd1OoI3opWzsKUMwa_GQOTWBk-M,395
torch/include/ATen/Parallel.h,sha256=mKoAv1CQFuczKwHKOLdjoD2ONZ6y1Fp3sfyN1zgGkfU,4628
torch/include/ATen/ParallelNative.h,sha256=iZh2V3U8HLIS1GMn9lPVkpTZeVxAoc5E0sG1awvst34,2360
torch/include/ATen/ParallelNativeTBB.h,sha256=0ghvnRLMwMlb8Z1VBnIevsQ0fp-ff-0VQmWz_GympCs,2056
torch/include/ATen/ParallelOpenMP.h,sha256=E4C6Uy1hbxVXIhxgsyFO8SyERADIPGiQCdycflppjyo,2499
torch/include/ATen/QuantizedCPUType.h,sha256=Zmjz4zWMewrGIliQr10ti5r_H9WWpAqOSqp7lrGq1O0,4844
torch/include/ATen/Scalar.h,sha256=4uRhX5Y1wZouuAi4M8BriFoqJziRckfzIh1o7E3YS9k,44
torch/include/ATen/ScalarOps.h,sha256=A7KdrtknsS9xoYMNfDNyEgfGVws5_wXVUJPpPCbJ2WM,1462
torch/include/ATen/ScalarType.h,sha256=YpUjgU8zTuDmlNt8pnUpNYjKVs-sJ-YUs4enjKJr72k,129
torch/include/ATen/SmallVector.h,sha256=b0zRaURtL0paOFhxGgB4flh3HczjPSX6gQ_GQzOOtHs,47
torch/include/ATen/SparseCPUType.h,sha256=7z0exe6BFT_FcHvoaPblndO7vaVkiXvRsSlZJRBx1yw,4341
torch/include/ATen/SparseCUDAType.h,sha256=TVQOLabSpd6Ou7JEtrnxeyeElzLkUjKx_-rbs8wbbgw,4479
torch/include/ATen/SparseTensorImpl.h,sha256=EmTiHV7mY5hjLGmygNqQxTarl6cRMgfqqCT5F2ZVGNM,11575
torch/include/ATen/SparseTensorUtils.h,sha256=r87j0IWNaZDzLyglsD05BLW-rXliG1s7ATN6FUeOXNg,5387
torch/include/ATen/Storage.h,sha256=EgzD3SO1khvg7pZDcTsqoI0FFSlsZobb6FadLbAhJ5c,43
torch/include/ATen/Tensor.h,sha256=EBqjY-ns7anaB-O1s-y2sLyNhtwdjQYe5Mwcc8JTmdw,441
torch/include/ATen/TensorAccessor.h,sha256=0oPU5QjZ5q_5qJ54cCEa18Zas4Z_IMTVAT09j39idII,51
torch/include/ATen/TensorGeometry.h,sha256=wIkeLcFBwZZ1TrlIG_J3638efw9BMAPmDu_EJIDPcSs,1856
torch/include/ATen/TensorNames.h,sha256=R-1dRu019Hc-qTr3TtAk5gEKviB67WRqufMnP0JJRhk,2595
torch/include/ATen/TensorOperators.h,sha256=aHStD3DEZxvXU4ry0gWauVG8gjHi0UyL6qpjnECJ490,2771
torch/include/ATen/TensorOptions.h,sha256=0YGOolxkjb6QzEmeZ6xuo0bamoTct5GvrHAtPoMH-fU,49
torch/include/ATen/TensorUtils.h,sha256=etz7BFvdl1OOkFKsrdGTnSemxE2kYrc6-eoOHyqzV7g,5315
torch/include/ATen/ThreadLocalDebugInfo.h,sha256=5arSpF6sM7ZTNPtKqC8wQgJzLT-Zs3EQQPYaKtczHZk,1202
torch/include/ATen/TypeDefault.h,sha256=22T63v0rvvOIwrTFRUrv8szg2Y1eBg5ZU1T409bAh4Y,63887
torch/include/ATen/Utils.h,sha256=gdz4YPncTvIG1GC95Ip2VslEdTbwoPKd6D74ynglbGw,5574
torch/include/ATen/Version.h,sha256=pDBWKAxnYPFO6zeTEeXDtVpoGPEkKExrpnjxqZBZ9q8,304
torch/include/ATen/WrapDimUtils.h,sha256=85vqIYuY-gDoW6pJQwdad7JusUebZc2WXyFi0uomQ9c,2753
torch/include/ATen/WrapDimUtilsMulti.h,sha256=sqWpqV8qwiuejVcSMKQeeHmBOrizdyYBYAlNfI-5RqM,768
torch/include/ATen/core/ATenGeneral.h,sha256=dcnASl2yEZMXGYbsBQkH1W-KLBoQTSSoEfujumNJHjM,45
torch/include/ATen/core/Array.h,sha256=6rmh64sbPh0Ot3cLhDT2BrMCBYYF6FVYTVYqBvBtEmE,780
torch/include/ATen/core/Backtrace.h,sha256=Vi1LiTrJX5BY0ADLxoJkwC7H27H30tTPM89xZ04A5GU,59
torch/include/ATen/core/DeprecatedTypeProperties.h,sha256=vEg28yWyhfJCQrnem3QzXRQiKDeY_iSO-NGaHO-rvBU,3650
torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h,sha256=we_IOV3AtSlQMOW3kvvfmqjBif-b27TBhhluOTG9RTI,798
torch/include/ATen/core/Dict.h,sha256=EzTpWvtY-5w-J8YgIDE9O1BDAS4g6tFQQJQfWUwbq6E,12473
torch/include/ATen/core/Dict_inl.h,sha256=4q0wn3ydWFHcNOqz87Qg7qWEaTboBFlGsFQLu_OB7y8,7735
torch/include/ATen/core/DimVector.h,sha256=C6BC0hZ_Br8deZ9-2K4xJipMU7cy19BZjPUO9bNXDag,247
torch/include/ATen/core/Dimname.h,sha256=TL44yN3Ny2fwGh-vA5-6SW_AEwHpPMDbIv-Yj5_t5-Y,1258
torch/include/ATen/core/DistributionsHelper.h,sha256=28km0bQXFYcgY07SUs9Fk0ibFhQWLao7ee-G_j6aG44,7319
torch/include/ATen/core/EnableNamedTensor.h,sha256=0LmhiPSaPFufVAWDl9Hk1kuUjkMw5a5VSwk4X17NTOE,276
torch/include/ATen/core/Formatting.h,sha256=55Njlw9ZVwHVwNfWc0mBJGQdpcbFiVKT2Wly5Oa52zI,744
torch/include/ATen/core/Generator.h,sha256=5-7ZoIi7bcbjipN3q9vQdzA8YMPSkk-FmwCnKXz6UV8,3085
torch/include/ATen/core/LegacyDeviceTypeInit.h,sha256=D8m77VCeVBxA3Voo5j8TEMlxAlUeWpod6DlzQkd1U5U,1015
torch/include/ATen/core/LegacyTypeDispatch.h,sha256=Zi2uuZtupmzkxxKm6ZYWZBk9uIOhKOqsNjoPfndOVFg,3567
torch/include/ATen/core/List.h,sha256=__402KXncaOLu8FOxloWIT7v-jFtWGEtc54cAqbamRE,15934
torch/include/ATen/core/List_inl.h,sha256=qSj0_mxofHm96CBuz9MXvDuuiQzmplaSKZNgjUa7ipA,8968
torch/include/ATen/core/MT19937RNGEngine.h,sha256=DBqOja_cAycFXFC-IIf7efraBfRmWe3vAHpIAMASPZ4,6426
torch/include/ATen/core/Macros.h,sha256=1k9nrN62_VHTu86s50xS93BaLqHZ5mK09MVLtyBs7Pw,44
torch/include/ATen/core/NamedTensor.h,sha256=pxnsYtPp7OhhUJ4M45KqMDsffv1WdHTg9x637Y-k55M,4367
torch/include/ATen/core/OpsAlreadyMovedToC10.h,sha256=I7M97w4aCDkDcryah7F1x2gk5junNFRm3MzWXtUDTWM,223
torch/include/ATen/core/PhiloxRNGEngine.h,sha256=MpWfXps3pxkKO6B-sCqi7jeCJlQ6KFunsxFlB8AMLzE,6500
torch/include/ATen/core/Range.h,sha256=v_kVnAoeiHq0eRTodrFqDV8nudjBOX1mwhdeiDrJRt4,418
torch/include/ATen/core/Reduction.h,sha256=xGUWvO-GEE0IzsMSoCDZksIh5A0Sf1ZjQBGyBBRvqXc,461
torch/include/ATen/core/Scalar.h,sha256=6_8TdN11df5vabWQCR30zjSFTLQbwnsUMTWfzKaM_sM,29
torch/include/ATen/core/ScalarType.h,sha256=o6WgbV6_nD4gO6tVJo7Hx_NQfeXC-iB3TFXbfRusbBI,33
torch/include/ATen/core/Tensor.h,sha256=EBqjY-ns7anaB-O1s-y2sLyNhtwdjQYe5Mwcc8JTmdw,441
torch/include/ATen/core/TensorAccessor.h,sha256=9NQMerJifJjbo7jNU6LfdRtJM5tdjnj2GSd05v1OV4o,8813
torch/include/ATen/core/TensorBody.h,sha256=D3pa6FjThU9Ru0NwputGOjD-lub3ssLMyfw5eIXjtog,47277
torch/include/ATen/core/TensorMethods.h,sha256=FpXYifahv7rDVCNfM83GwylD7SPNvfghp596jqeCQ6Y,289857
torch/include/ATen/core/UndefinedTensorImpl.h,sha256=gC73nEbVD9sYFdMxGPovAHH997995eRiDYXO3S1y5Uo,42
torch/include/ATen/core/UnsafeFromTH.h,sha256=XHDf9pxhbdMjXjS0A_idwX_0kgVALnnjk3xQdC2F1zg,695
torch/include/ATen/core/VariableHooksInterface.h,sha256=ftKBbjsQILM2cG9BM16vstvD0B0BCSX3plB4RICNrM8,2653
torch/include/ATen/core/Variadic.h,sha256=pySVbz0JRhhogsN00_-5hKXLSc5cnOcIKG0bWhD_9E0,2042
torch/include/ATen/core/alias_info.h,sha256=b5qJIuk10qKBRMB400GPQ_ShHSXG4GgkVLjMQlWBGq0,2986
torch/include/ATen/core/aten_interned_strings.h,sha256=CCD6f7PQbYaNhUUgRWP6XRBcYdmigiapHvyvFUt1YCs,23892
torch/include/ATen/core/blob.h,sha256=8xI4UeXMMQa5lZaKZAgq9tSJonKtKQfxoZCBB8M-12g,5499
torch/include/ATen/core/boxing/KernelFunction.h,sha256=uTc9b-0mrBwgRJk0I76eOl2G5cm_1QhuEfOc04kruGY,19011
torch/include/ATen/core/boxing/kernel_function.h,sha256=6KOmC44kselz-GK9szSWLcQ-icQG1fewosKASzxOfq8,1262
torch/include/ATen/core/boxing/kernel_functor.h,sha256=euNv9d-1dyhnZhN0nEeIi4FXTJEA8etJfEheUIaCgWM,17310
torch/include/ATen/core/boxing/kernel_lambda.h,sha256=brezIEsPPG0Ew-uYJWuAAEX4_dyr_9Y1qAhBkKiRY64,1467
torch/include/ATen/core/boxing/test_helpers.h,sha256=XYsGXlls5nJmhHPKVx2jLXB75LKfLIJOYTKuHlb7Z9M,2748
torch/include/ATen/core/dispatch/DispatchKeyExtractor.h,sha256=oc26kH_9LHZusKedxkUnbJRmdqYUsnUiX_gDP3pMHkU,4023
torch/include/ATen/core/dispatch/DispatchTable.h,sha256=nTlOjJDfyiIKpGRQgCKnFuqIzbiN54E4Yp4PDIuwGj4,4730
torch/include/ATen/core/dispatch/Dispatcher.h,sha256=IkH_g5mFpMb4CsDFkYsxiwl26M7uVmXqSvP6Vzbor4Y,11715
torch/include/ATen/core/dispatch/OperatorEntry.h,sha256=d4Gn6cSAHSzLFsQOeWCl5Ct2ARrNASebUbVph_AOdDo,4025
torch/include/ATen/core/dispatch/OperatorOptions.h,sha256=kVxwQlpLxCnxcKOP2o41WcPFzVBZS6KhqOBRji-yphg,1667
torch/include/ATen/core/dispatch/RegistrationHandleRAII.h,sha256=e-Mj1D2ucxcOFm_VvYWsNuRxasim7WyrfkXvlfSTIhY,858
torch/include/ATen/core/function_schema.h,sha256=t3I5-lFI6Hq6rO4Fg1YejZ2T6zw9NOE-JCtkjwiwEIE,10540
torch/include/ATen/core/function_schema_inl.h,sha256=DIl6wqMc84r_5vN4zvhTTH9cRJzG5IxCGJRLXZyOxLA,9781
torch/include/ATen/core/functional.h,sha256=sbPeH2KDNZ2JnaexgBlYvLg4ZV4GJrs3XY8HLov3Rbw,1460
torch/include/ATen/core/grad_mode.h,sha256=yHTMoCuspUwfmB0UwLoHJ3xbohUSsQhB4XXlIjtv11c,740
torch/include/ATen/core/interned_strings.h,sha256=u-LCqN7pp6DINgvoYYUyHo52LsG9W3nIaItpk-1hmC0,15633
torch/include/ATen/core/interned_strings_class.h,sha256=Jcm9ftwxRjPr7ahGu_0tV4P7JtmJr5V3vCAzZDJU8d0,810
torch/include/ATen/core/ivalue.h,sha256=__fKXPBFip3YqSWSpzblaEZriWgByZt_4P_Z3QGH2Ag,19058
torch/include/ATen/core/ivalue_inl.h,sha256=bfvblKBGGCfH95TZ7BjsJj6doXt1zNsvGXeC0AecauM,28606
torch/include/ATen/core/jit_type.h,sha256=mA-3IBwgJ7DcGqT5SRmxj7CToHpFzOjkLlkrmbZ83C4,48292
torch/include/ATen/core/op_registration/infer_schema.h,sha256=X2RxyaJxsO1f2ZWcA6-ge0V-pX8KLcMMbFkX6p2Z95o,5816
torch/include/ATen/core/op_registration/op_registration.h,sha256=uqTIGT-h1gcdIv59Z_UpJccZHAbtyZB9AAbkvk30vNc,29257
torch/include/ATen/core/operator_name.h,sha256=oKzOlWgzp0Zm_mHS81DcyAmPf0aNALF0Lri7rv0tlqc,981
torch/include/ATen/core/qualified_name.h,sha256=X332d4F_NC6-7KkwMhg2CuNKkLJq2al2E_JIpaw-NBc,4323
torch/include/ATen/core/stack.h,sha256=JYLnf6in9Mjzgs_l3d_bj20rd-48d5MRDRwHsBg2ZWk,4293
torch/include/ATen/core/typeid.h,sha256=kuExuy1u5A34ATIuUUgf_aPWYvKKXQwfE0OLtHs8hhM,29
torch/include/ATen/cpp_custom_type_hack.h,sha256=-ioMOgkmKdcitURna4rrXoD4ZEJfez8xCDFKoL-9HXo,1793
torch/include/ATen/cpu/FlushDenormal.h,sha256=aKtxcj9HdsP-1KXLlbtyYCwpQpwoI_AjcqANFkLQGtY,549
torch/include/ATen/cpu/vml.h,sha256=6GKj9B1SRV6Sh69_nXrwVgj6szxDBbAS-Gesk2qM1z0,7773
torch/include/ATen/cuda/ATenCUDAGeneral.h,sha256=xtotPB400x5oXWdcaYRzSK1EGfu8DAVUn8X5EDScX0I,165
torch/include/ATen/cuda/CUDAApplyUtils.cuh,sha256=gkskE3PI6MfYCjkPZa6ngW-SAFn1LVke3xXfEJiJHzo,45910
torch/include/ATen/cuda/CUDABlas.h,sha256=LvtAFqLxf5vL9ki77zgq6g0eBFB5ITjZ9YeGn40wrAE,2047
torch/include/ATen/cuda/CUDAConfig.h,sha256=ek2tpMXVM7PeX0Pq7bR1AziTpmGChnNNRITLsABIMIc,440
torch/include/ATen/cuda/CUDAContext.h,sha256=NefNuvafCRkeYhnrjSiJ_lhkqXfNq2VKc_2B39qGT1I,1980
torch/include/ATen/cuda/CUDADevice.h,sha256=jAwUvooEXBq9vFToJPXyZOtxoWtExGLkPXGyEI2ctHk,348
torch/include/ATen/cuda/CUDAEvent.h,sha256=__EsOmtNYNGbing-ShzQwmlNb3b9JZT-ZoINM7FLdPk,5644
torch/include/ATen/cuda/CUDAMultiStreamGuard.h,sha256=jlGYiOgmoMK5LLPEiKoOakTdONsDmXpyhrd9TvCG6C8,1735
torch/include/ATen/cuda/CUDATensorMethods.cuh,sha256=cyQq_CW-cqTVYG5n2yQKI552IDhMnlGZqFPurRzdUk4,270
torch/include/ATen/cuda/CUDAUtils.h,sha256=DleIsrnelPcFawfmcmxi3fQ_Yl0TPVwP-Abj66EPjkk,428
torch/include/ATen/cuda/Exceptions.h,sha256=jHP1e4Y6_af3axVWKXdwV0F18f1USmbS_FAmJ4fTby0,6067
torch/include/ATen/cuda/NumericLimits.cuh,sha256=Pucf4S3VEL-sT52Es3G9iXpX9WUXGjwR1-RvN1-6Hww,5214
torch/include/ATen/cuda/PinnedMemoryAllocator.h,sha256=DSptRGaFH1dYREsiNRM3GByCjL8agf1Qq2vDolqOKd4,164
torch/include/ATen/cuda/detail/CUDAHooks.h,sha256=OUtj95rVA7O-hlNllD-5OFESqbczO0eLhYAc1_rQE6E,1728
torch/include/ATen/cuda/detail/DeviceThreadHandles.h,sha256=5f5IFBbBAhYGCtu3rU_B7uAPd7CVCjPEZBDxtRDA0vU,6454
torch/include/ATen/cuda/detail/IndexUtils.cuh,sha256=4l542Fk1A8ABcMS36YyPVR5VzXDnuHMnsOKUoCqVKTQ,748
torch/include/ATen/cuda/detail/KernelUtils.h,sha256=lTMy1NmNHTBQI5T4TmiIQCyXTB85eati8B5WC-VY93U,1194
torch/include/ATen/cuda/detail/OffsetCalculator.cuh,sha256=CDp5Dv6EFRNDq9ynk4GbiIPEQwsfIciNpl2ZY0pvoaY,1733
torch/include/ATen/cuda/detail/TensorInfo.cuh,sha256=3bo-19mlKWya5oW7_2-Sh53xu0NP9jeaAVxGCBkxVe8,3229
torch/include/ATen/cudnn/Descriptors.h,sha256=UOhVsB5N-ggft_s-lYbEEO7yQp4Nh9CJmAVAVQjturI,10417
torch/include/ATen/cudnn/Exceptions.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/include/ATen/cudnn/Handle.h,sha256=HVAcR4ANaJloYHg5KaNSKV9CYbjdZs005BpDI1v1WW8,202
torch/include/ATen/cudnn/Handles.h,sha256=y6xfj3ZCKYNVzohfiFqsqeNSeXCpHSVqtB7a5WLhF3g,44
torch/include/ATen/cudnn/Types.h,sha256=kGX5ovq0RZJ6E7FAzHVEeG0CA_xpvfTfLInwfTRhOj0,227
torch/include/ATen/cudnn/Utils.h,sha256=H6HjA4nL4UFHK5yBdHhf0WJlFmJ9nWgGZrKn6saG7KI,779
torch/include/ATen/cudnn/cudnn-wrapper.h,sha256=7t0FKslPmdb_WR-9fxKxUmD-xPXaaaAnGc-7SEqE8Pk,494
torch/include/ATen/detail/CPUGuardImpl.h,sha256=XYliYLpbyLSR3yWh-jOkxJkiTmnSefhi70_qC0dWIHU,1635
torch/include/ATen/detail/CUDAHooksInterface.h,sha256=je2WDbu0K71KV0bp9BDWI317gHl0df-wv2aEDYcrtaQ,5612
torch/include/ATen/detail/FunctionTraits.h,sha256=Q30moAQXtQVhvKyz_5mfPavsie5FtbqdRBjvwvjSK8U,2324
torch/include/ATen/detail/HIPHooksInterface.h,sha256=u9toHokX8l4k7-UxxqFD-T4Oq7mnOLcqDEG3A-cAA0o,2005
torch/include/ATen/detail/ScalarTypeConversions.h,sha256=MDvhSjl0Unu5vpA2uEJ_qrbJ7yuQZAyTzbAmDtjStaI,671
torch/include/ATen/div_rtn.h,sha256=IKXS4Jm0ZsNb3zOh6eGGuSb2Jqpo0ifqPtoVXBCdBmQ,205
torch/include/ATen/dlpack.h,sha256=zOQsgw7hUMvU8W8pUNd7lekzKzFjtTy06VWAcdY_CMU,3620
torch/include/ATen/native/quantized/Copy.h,sha256=Iq1yRthhctQG2pctbyrWxRaD1_5LStLlXZ7D2t2-Flo,170
torch/include/ATen/native/quantized/cpu/fake_quantize_core.h,sha256=8g8g9dLn-MO3RVan3bcNABGx6laZwgaRH0ZqL77_ZlQ,618
torch/include/ATen/native/quantized/cpu/fbgemm_utils.h,sha256=fNs_eV6RaLQGnbHlnKTdoiT02Fo0Z5ESQg-j3D63Ef4,3108
torch/include/ATen/native/quantized/cpu/init_qnnpack.h,sha256=ZiH_VsIdp7AG6DNL49ia3_grOjjiQHM3iTKk7TKXuTw,146
torch/include/ATen/native/quantized/cpu/qnnpack_utils.h,sha256=kAQuWCyOdQsR3YJ-uMo9r1lHcWJIWJXF7RopF_SfgZw,2516
torch/include/ATen/native/quantized/cpu/quantized_ops.h,sha256=zp5uWpNeaa8CeQ_Snr_F-YebgEWPtZhMdKru2ZfCzkg,2445
torch/include/TH/TH.h,sha256=CyqW642ai5lfTXyB999sBhd2yHO71GB0sbfdirllVIo,416
torch/include/TH/THAllocator.h,sha256=nDzbPKWkRq3W-M5TD_mwXxukJd6Wb890NEH1W82LGbo,3170
torch/include/TH/THBlas.h,sha256=30QcnETLh_F1vPqtVOqICNpYgQ1pe4XYB0_Fy8pXaCA,268
torch/include/TH/THDiskFile.h,sha256=pgMIFV9yn1GnAhDsxt2FOT8jrOh-AfUSScYYtkGbp-0,664
torch/include/TH/THFile.h,sha256=XEGZO0-jhqCEq8Zf1_-ZIIlSmbFpOp5_DOxMyJ37_e8,4613
torch/include/TH/THFilePrivate.h,sha256=LDvLOYOjakyPsIQyFTJ-qCU3C9Ixb7lQW-tFiAQ_bmU,1738
torch/include/TH/THGeneral.h,sha256=JZVJzMOGe_7gDbjQmLiGfVaO_U40GQ4RvWum4WRYPmE,5990
torch/include/TH/THGenerateAllTypes.h,sha256=CAj_q208q827DAz_LWM-ZhRh-P3uoa1dUR4UfhAp1cU,411
torch/include/TH/THGenerateBFloat16Type.h,sha256=dH8-vH6vw8AOFWRctW4kDzLI2MNWqedqe0OGrJzGYkg,519
torch/include/TH/THGenerateBoolType.h,sha256=VPFrrdsXrwIcb3QJ6gAzuc5pWyucwtKlBBUKHk6Wel0,588
torch/include/TH/THGenerateByteType.h,sha256=7rXSguzSEpCa07Zz5cgmJFuJgovbT_EDyjddGXTO5fc,631
torch/include/TH/THGenerateCharType.h,sha256=_Iy1p1xRe_L_0Nyh51wKQN4o1RLzudcWfQoItCuq9Y0,630
torch/include/TH/THGenerateDoubleType.h,sha256=w39XLGc6-nwl0IiFO7S0AwwEGSp1pyLLCFZ0AQlUA4I,600
torch/include/TH/THGenerateFloatType.h,sha256=jECdh83lx-ldIneOXl-vcg-pZ3ye9HlPk9yvYCUrXYc,595
torch/include/TH/THGenerateFloatTypes.h,sha256=BiekbVPss3kWzYLAQoD77aCeaxIRJpxoa1y1krlyJLs,420
torch/include/TH/THGenerateHalfType.h,sha256=ngmvS3RCQjrG5G-HzLwkSisSjLUWWoTubLNV6kPnQtk,643
torch/include/TH/THGenerateIntType.h,sha256=3V0fa1dziEqDSG5T3Dg23b9ywMbvlhKdNTTZXzOuhzo,626
torch/include/TH/THGenerateIntTypes.h,sha256=DliiquBTsYRHU6aCqX85EnT3FmE-qAbXVBA9qWr9qE4,514
torch/include/TH/THGenerateLongType.h,sha256=8WsV0s54zX4DQLHdvf77VAmaznOXezOY6AVOF5FeuCk,631
torch/include/TH/THGenerateQInt32Type.h,sha256=d3zqRe2_6tEnDrZHt4YkKmhWZ8zua8h-wQ_IerHdOXc,513
torch/include/TH/THGenerateQInt8Type.h,sha256=TQ1iRifvP5nA_Um6xuZRX-0mPse9LyvW4B8chQGxHRw,508
torch/include/TH/THGenerateQTypes.h,sha256=IPvzvTbnlAuKNJe2CR4wNbL5l8hqkJ1VquruJKV-mqI,441
torch/include/TH/THGenerateQUInt8Type.h,sha256=UN_prvNfdL7DXNH_Ft32RPzi1NPqXatK68GaiAhCUbk,514
torch/include/TH/THGenerateShortType.h,sha256=RTIBxEnPtFjng70sFW_RbNhh35P8ku9Fb6gFOh8BvSI,635
torch/include/TH/THGenerator.hpp,sha256=9Hv4zQqwSIvv988Dc49IIxGms1ZBahKQnhLE_FPTuzI,1103
torch/include/TH/THHalf.h,sha256=b_o7PF_5RRUqP5is8bwuOdVqldPJD5UFYkDNzzJVMlM,97
torch/include/TH/THLapack.h,sha256=ti6t4tn2bs938Cg0wkdmZ_Vg-g2-ii-KRnLHODSsEwQ,1352
torch/include/TH/THLogAdd.h,sha256=UQqS14mpvZ4wsTlgkxsHBOEbYd9OWmH07MQp8xidNng,326
torch/include/TH/THMemoryFile.h,sha256=0RpNpgjuTdEcGC9hVxmGQMjVZqGuCfSaeZfChnqlDC0,377
torch/include/TH/THSize.h,sha256=zXheLGIzI01Jh1iqbFHVVgu3o9KOZO3wX_dZEQ2qm5A,433
torch/include/TH/THStorage.h,sha256=0q-5VsX3PVL_C7OstNGypcTASez-FiaBoeSNRf1yYAA,125
torch/include/TH/THStorageFunctions.h,sha256=wAzBuyO8VmiC7fb31nktpGhht21msnRtt9vtbO9Lh4Q,992
torch/include/TH/THStorageFunctions.hpp,sha256=N0cLUkvInhq3EOds4s35F0lsW3gUk0JP0mdTLu37YEQ,1325
torch/include/TH/THTensor.h,sha256=8zVeT59pl9aU9cHC6ODrEXZrUbLiisXmbTZtBSYkJ-c,1455
torch/include/TH/THTensor.hpp,sha256=eYwEJA44QdTrN4ELQU92EmPFIgERNTOVHaSGApYrkWA,5135
torch/include/TH/THTensorApply.h,sha256=b3BIdhKCM4T5VB6L6i7zJ9nU0n0OtRBCoi3FNLE4eIo,14815
torch/include/TH/THTensorDimApply.h,sha256=tF3BM3YRNc1J8vOdnwTKf9nBIRyil9VfcuYTw8YZDho,14873
torch/include/TH/THVector.h,sha256=uNxaH0r4lkIGOh9Qi68vStsWwskhhY7JY-UiCrDrT98,544
torch/include/TH/generic/THBlas.h,sha256=ko7NU3lva3BjglFpZOtZwFHTwRgWNaZ4S64ub7mgwNs,1100
torch/include/TH/generic/THLapack.h,sha256=HWYaKIFQkyu4FUike3Iy040EuGQtDRsccOzLpph-M1k,1164
torch/include/TH/generic/THStorage.h,sha256=gxv4lv5Uwmam4bKnBaWfeF9AVb7zW9qmkxS5ronwSSc,2863
torch/include/TH/generic/THStorageCopy.h,sha256=0XbnmnX7tw6uoMcDNzKKdeMgNKA1aqbymcYxmnBwODY,1358
torch/include/TH/generic/THTensor.h,sha256=ftDlbtVD4EdAL77oS5SQsGw9_pQ_nODW2aR2GuWyL2E,7828
torch/include/TH/generic/THTensor.hpp,sha256=r1QygyQCwjKrSF5hYhMr0pZLztsghC0QEnJgPDNt430,971
torch/include/TH/generic/THTensorConv.h,sha256=5SIpJR36N0bKbqVQgGUCu4077FDor132WzLyClMyzy8,5409
torch/include/TH/generic/THTensorFastGetSet.hpp,sha256=0rlf03hUWOce-iRk7cbf8x-0Xr39wSfuN35Z3K_GqHc,2333
torch/include/TH/generic/THTensorFill.h,sha256=L9Ej2Uy4FBTEkZMlNSnw20VTuoR2SdIGDP_TYWI6ExQ,193
torch/include/TH/generic/THTensorLapack.h,sha256=C8bkCagF9ruyCmvXKG7QkhDFV7IEHZBQenW0Oy4dYgs,603
torch/include/TH/generic/THTensorMath.h,sha256=fi1ojmWkmErm6Mft7VQNHNp3eCHJ24cCK42jaw0cx44,9949
torch/include/TH/generic/THTensorRandom.h,sha256=0ClTnvA4fDTEe3wKazjkbz2epaoC6J8vSsnznsLvhVg,1948
torch/include/TH/generic/THVector.h,sha256=ZHQOkMPaWCGN8QXhLxBus_b5uN8ZPJBnT6u0zG7hu2E,2382
torch/include/THCUNN/generic/THCUNN.h,sha256=bG9bCseabHdwl9Cft6zxFocPAT9OxUjDr3D4qaonkPU,11364
torch/include/THNN/generic/THNN.h,sha256=uOQlj69Vp26V-lZITgvNvZtFf7zLjomM1KJDCdKcS1Y,6923
torch/include/c10/core/Allocator.h,sha256=D67ClFWD0fXtQXWM2MlyydiFCCE3yVIfCiv2Zd6J9T8,7533
torch/include/c10/core/Backend.h,sha256=Melbs9SGkgXEeop6VuOdjL5WYjQRfchueT1Wq30J1cI,8363
torch/include/c10/core/CPUAllocator.h,sha256=_VKOn30fPWCbP8xbnO_3pWVgpduOCQDhGpV9GnwDIV4,1221
torch/include/c10/core/CopyBytes.h,sha256=wrL03lmNPavQpp9VLLrc-0xrrQwZsfqaUjKIx81G5CM,1229
torch/include/c10/core/DefaultDtype.h,sha256=r0J7mE-LZQnHTIWMDazNAM60TSpvEpYEIXuZLNqmlO0,248
torch/include/c10/core/DefaultTensorOptions.h,sha256=wQV0m2KSiurqaJfoulA4bzMm_iuKZhGjQItb_YExwVU,1120
torch/include/c10/core/Device.h,sha256=ZsBZXT9tiHCDzyH9-ZirVKvI33BEkc9F9HXEkQW5bvM,4519
torch/include/c10/core/DeviceGuard.h,sha256=qSee07GCyapS0mmPm8Ff1lcvi6sqXLcp-TF06TtZhNw,7484
torch/include/c10/core/DeviceType.h,sha256=ktI-DyH45gw4ZxfPm40GkPHivf2pIBCAuICPziI68hQ,2354
torch/include/c10/core/Event.h,sha256=pbpKmGZgKVc4jQl6qAT3p2GZ7NHNHFeLDavYVL_dvKk,3987
torch/include/c10/core/Layout.h,sha256=qDdWq4Idq6iVZ9ZKtM1pgoBKEmwFDsTFHW-bzsa2agg,931
torch/include/c10/core/MemoryFormat.h,sha256=YqCYCzTMcwq66_rPDOMEIlRPh5N9-GMiG1mTgYO0VZ8,1957
torch/include/c10/core/QEngine.h,sha256=v2t5O6Lvx6jXWtPSwnHeSNTRxAJs-exqYzWniEynqsI,882
torch/include/c10/core/QScheme.h,sha256=W_bStUm3f38S6ESsE_T3cW_vmZvTVuFFLrC4-8Fwhi0,1371
torch/include/c10/core/Scalar.h,sha256=SBtqvKFnPoLgzbNqwR-mA8cyafG4BbvwwuUtFVtHXQA,4508
torch/include/c10/core/ScalarType.h,sha256=-NbdZCkajlJaZuKwyUcLV3ZVE7beitS6ojTNbt4UmDg,17213
torch/include/c10/core/Storage.h,sha256=SUZQOCypGbefAefN_63RNzST-85FTgjrUnpmEJhSQyM,4613
torch/include/c10/core/StorageImpl.h,sha256=Y_5NHV7GMBCa2jk8AlSVnK7ep4xY0zU_eD2AGjtIqVY,5990
torch/include/c10/core/Stream.h,sha256=ptXpse06qDHS1Wk-QIAWM-Z0uzAq43HydJre4jB95t4,6270
torch/include/c10/core/StreamGuard.h,sha256=rFWZc5fyNi-xuB2qER_tHltJVLwpHnrU7fzU4s63UTQ,5424
torch/include/c10/core/TensorImpl.h,sha256=0g63TqChpwwgbjHhCS1ps0FRaKvIv79yf8n0WAc5Zxc,65243
torch/include/c10/core/TensorOptions.h,sha256=IEimONltBZdUArKdFLBGqMDvAQ-dIJgFoM7OhNhp53M,21351
torch/include/c10/core/TensorTypeId.h,sha256=vyH_Lv1xg7FQYORQiFjgGHQiMkD1P7dZaSahKwgVbM4,3426
torch/include/c10/core/TensorTypeSet.h,sha256=uKWdX9nP_FC9h5NZoymhYy2JY5Zdp3Jk9GTk5G1LGoo,5209
torch/include/c10/core/UndefinedTensorImpl.h,sha256=sXbhzfOYRCOooIT3p5dRJyr5D5INQzXjer0SptlrgqE,975
torch/include/c10/core/WrapDimMinimal.h,sha256=LQWETH2FoMC2dwPDjc6DNhmkmP9fClY-wq1Di9nM-Zc,656
torch/include/c10/core/impl/DeviceGuardImplInterface.h,sha256=j8SNgCoVB6HhwXx5HtYfD2pWa3xkV_AQO0wxan1MLCQ,8568
torch/include/c10/core/impl/FakeGuardImpl.h,sha256=4Kwfd2Zj8qV4Y5JZPWz4SdZ_fwhvpRG-tdGhh0yUvaA,3194
torch/include/c10/core/impl/InlineDeviceGuard.h,sha256=W_E5Jv65TrB-iuBIAIWyx2FPCVceh30CGrPD32Ta2tQ,15245
torch/include/c10/core/impl/InlineEvent.h,sha256=x9Ghcfkbw-fl-st6hyLBPeEW-GT81vzM866O_GJYI0A,2818
torch/include/c10/core/impl/InlineStreamGuard.h,sha256=66EmQnHl4FbLyfP3vOXAZyiDAJZCA-keqsDpcoCEwYs,7576
torch/include/c10/core/impl/LocalTensorTypeSet.h,sha256=76tCGxyLMCLceA8fqCvcoI8p-daxY7V9LCFIAvgI7gk,3389
torch/include/c10/core/impl/VirtualGuardImpl.h,sha256=MgpWR7iYiFi165G8AGnPhWz9UtnFGxCpQAI__0SCxds,1991
torch/include/c10/core/thread_pool.h,sha256=GXUcUiXaWstvVj_IdCthjtWTFb8f_f53gJBBX5mGHvY,3018
torch/include/c10/cuda/CUDACachingAllocator.h,sha256=ApOJfdYR9mE36Tcw6HuSe6uJWTtiQZ2stBZYFYjBetw,4070
torch/include/c10/cuda/CUDAException.h,sha256=Dx9eBLN9gGiJ5H3f9hAXa5q9ljIO00Q0RQXazC-J8O8,1392
torch/include/c10/cuda/CUDAFunctions.h,sha256=GqB1yhKHv6RHyp4TPhVacR3dUSsISv1tOrkk7iRchp4,1578
torch/include/c10/cuda/CUDAGuard.h,sha256=pPLowmW3Itfc7YnzQhQ_SXtvTGzur0IPmJSu8arwe18,10096
torch/include/c10/cuda/CUDAMacros.h,sha256=xQ84F9kPrl-iBnl_gAp_axBfTUJJ-MpQ5LuFdByXSUY,983
torch/include/c10/cuda/CUDAMathCompat.h,sha256=YMJDYAiCVuSmLA6wrOEmDkeFEiFOD74TkX5Y_cuQUlk,2299
torch/include/c10/cuda/CUDAStream.h,sha256=eIwC98Gt7S618eE8rhP5Q5_14gDxBdnloykJ7CgVIF0,8383
torch/include/c10/cuda/impl/CUDAGuardImpl.h,sha256=0RXFVfm5NA5nbXpBhdnxuJY3xPTPCrBLp594Ee40r4E,4634
torch/include/c10/cuda/impl/CUDATest.h,sha256=dt9Gp1tDyYR-tA92S5rcv4vY6RrZY2IQQCYRfnRlOCI,168
torch/include/c10/macros/Export.h,sha256=-Tfpvxv5xSMLm54hY5kpWASAkzULsD5LMTFhc22GqYs,4008
torch/include/c10/macros/Macros.h,sha256=rT5Fh-iMgBLaMjJD5eUNAHwK8p9mhKVGF-23pQxDqQo,11304
torch/include/c10/macros/cmake_macros.h,sha256=Pr77XE30wOFgr7_j23KPnAuLJRTkEk-149CrCdBuPqQ,816
torch/include/c10/util/AlignOf.h,sha256=w4sF48oNMj-oe5wXItpsj3NGYIAyXM1ilhOwhFxX0sw,4835
torch/include/c10/util/Array.h,sha256=5ymM1NBnZsgKL9zwS2R_B0hNsuGUF0XHud0afj1Ig00,10991
torch/include/c10/util/ArrayRef.h,sha256=IAsJK5jT9_ALh7XnBH2tswSq_9eDleM1U_syWxemFgo,8177
torch/include/c10/util/BFloat16-inl.h,sha256=sNCBuJyeaeXjSsDAZubV_Ox2gct_ZHwoejtdkGDHDlA,8128
torch/include/c10/util/BFloat16.h,sha256=Ii8yCD585723dM3toDC9kB5YUysEnyc29dgT50ycz8Y,2018
torch/include/c10/util/Backtrace.h,sha256=M13LVT7nBWIdnSz5QalxEEBuElh9PDIz7VBjUrWC3F0,364
torch/include/c10/util/C++17.h,sha256=Je7mVh5TwXPkYRjcZ1ktlNJoLK9050V-42HA1fd9cew,10887
torch/include/c10/util/Complex.h,sha256=-EKVVNe7xkJGcMgsmTgJ-SPbYh2BVZ0Mz4thMLwLGIk,355
torch/include/c10/util/ConstexprCrc.h,sha256=_OKqqMyr5UkCT2F4qUQ_Foi180OdCovhzMBR_381RQc,6832
torch/include/c10/util/Deprecated.h,sha256=IVWGtHnIu64KSO4-Q_ZdxM5lw-2H4TT8kWVZJ0UAs74,3794
torch/include/c10/util/Exception.h,sha256=H_QnKVG1HJ2Zq3a-tHyUK9k6E7618z8hCmM2zEohdpM,17007
torch/include/c10/util/Flags.h,sha256=4xmdvANcl_gK-0n8WE1ZCEM-d6qVjYIOQiX6BjYPxso,10145
torch/include/c10/util/FunctionRef.h,sha256=-9ka14xQy36jCkokBdDQfGHlCU8qYkR6612ow2gn-_g,2254
torch/include/c10/util/Half-inl.h,sha256=Cl0E2jzkD0HxtA_CnpX5LQIvrbdTOsrPeP-rBdfTrQ0,8178
torch/include/c10/util/Half.h,sha256=RqLlk4g4sbS4W88vGbgFiWxFZl3N639gUiagUwBP54Q,21111
torch/include/c10/util/IdWrapper.h,sha256=fZz9djflyuX2-Q2lQwFT3dF10EABtvMuFNWrOyEiLjQ,2340
torch/include/c10/util/LeftRight.h,sha256=24xX5Bjd4RFOacowH1p87SiKmN_jS7dX513eC_lvVGs,6074
torch/include/c10/util/Logging.h,sha256=vtnqu2EKjeCncbaoprJJRqxOqg85PA6baxdnShSnxi8,11657
torch/include/c10/util/Metaprogramming.h,sha256=bKy2Mulb42MDcMTTKGN8SwyHrIrLEHaBQ_0RYq2nB68,6857
torch/include/c10/util/Optional.h,sha256=PZ-4AXwSwW-ysFQJ6jqQR8Ypzcee4mQ9g_aPp4Zv1T8,29905
torch/include/c10/util/Registry.h,sha256=nI3tHofCisOV6jcje-sZlEEecS5wmnC6hmmEu_lTj1M,10968
torch/include/c10/util/SmallVector.h,sha256=bFfnuaUdbD5c1benV6en4HkCIB29fuhwb0pumUCouB4,32146
torch/include/c10/util/StringUtil.h,sha256=EcKZGXPln07pc8speJersIDmqQ89mYS7HqcUQ8FgzA8,3108
torch/include/c10/util/Type.h,sha256=1w52epy1rFwJtL2yBN_NKi-LJZoEs-Dl3sEAuB5lXxo,607
torch/include/c10/util/TypeCast.h,sha256=kNlz6-BQ5geuNtLBuw8Audklp7V3j_3Ox6Nhc4qjYjI,6656
torch/include/c10/util/TypeIndex.h,sha256=TMxvyFq-dSUsst_bwp7-H97WHfccIyLroRgCQVpnNJg,2140
torch/include/c10/util/TypeList.h,sha256=sycvKWFn3fp5hv5hnuqwmHtUj_t9QexTk-w7JHcAmD4,12921
torch/include/c10/util/TypeTraits.h,sha256=lzjIZXsQ6EiNLQFxMTGh0hKTa714LHI-5j9VHCXetHQ,4848
torch/include/c10/util/UniqueVoidPtr.h,sha256=fSvKXKSGJiqcq_m37wdeLODeCxHd4Q0tzLDmbrz3M2k,4099
torch/include/c10/util/either.h,sha256=O-scCfSkT6vcKUDme28xtcm6l9VtC8tOQu7qGCdaFd8,6437
torch/include/c10/util/flat_hash_map.h,sha256=HVSr4Eh_-WFvvB7qkIIVeZqrgVzgHHoaVdZZgVVeuTU,61697
torch/include/c10/util/in_place.h,sha256=Trmaz7csPFFvL8IBbGFTYgXzk_rgtx8bkyjjrs-f3XU,344
torch/include/c10/util/intrusive_ptr.h,sha256=6EbsLpdOrERjINY25O_tpa6stJAWoly_IZkNDwNsjqA,27217
torch/include/c10/util/llvmMathExtras.h,sha256=RgbLyLLQguumaXkFxx83mj5PiaNyTeeDEaIaGKOB9zY,29746
torch/include/c10/util/logging_is_google_glog.h,sha256=W0YZOPz66V7oBTUQ3iMMOrqlSkeY28oVIjtlCNXdt_8,1685
torch/include/c10/util/logging_is_not_google_glog.h,sha256=-2D5bJ2mW86qd86CRfek0q-uge_eVz-KVVye1dIloxQ,7580
torch/include/c10/util/math_compat.h,sha256=f5FTkjZci9uK1N6ER8UvWKOTzbBQI8tp4WMFA8LE0yU,5392
torch/include/c10/util/numa.h,sha256=aEgHw1CUWV2sbSZJGGV7g6BqV7TP9vlBInzaxXYfCKA,696
torch/include/c10/util/order_preserving_flat_hash_map.h,sha256=klceE6nIala3yT8YZaMy-k0DBc4NUbDON24KWyhEWI4,65706
torch/include/c10/util/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56
torch/include/c10/util/qint32.h,sha256=6M0iR6j3IevTgCYj6DFIQ_N_ADdEKmODDOsEtTqQyBo,249
torch/include/c10/util/qint8.h,sha256=VWjwnm6iRPBYGcT1mVjT_nF1d2HN2FKtwFpQFEZqghU,403
torch/include/c10/util/quint8.h,sha256=x4hyrXmTzh8W_sEngMQ6zuRysfv4LUBc2gCNZBUdXPI,247
torch/include/c10/util/reverse_iterator.h,sha256=Nb5SdukRHCiIsL_mK8ZiQS-Vpg-DOYOzbucPUiizgog,8935
torch/include/c10/util/sparse_bitset.h,sha256=COGGWJD2eDDIxBQC_1shUIQB4-o4v0W1Lm7WXZYiqtw,27597
torch/include/c10/util/string_utils.h,sha256=aam0hpOpZS8FMCQ_uEw1xkO1QddNffge7EWQOqL9VuA,1973
torch/include/c10/util/string_view.h,sha256=fRAyi_swsSpWBXBC2SXwRL7hyhTBoHWC0u6y68Br10k,20202
torch/include/c10/util/tempfile.h,sha256=kRcVUttpfotOgqBNUEeD83UbWF6Nb0lKLL3Y_Ain98M,3324
torch/include/c10/util/thread_name.h,sha256=xPk4jbEhLS8iutUq_AcVmiFDStKcLZO7mD2GU6as6U0,148
torch/include/c10/util/typeid.h,sha256=CmlolZ_bcc0PycQEcgxUPfF5Sf4DI0xUMBfSpcheY5Y,15487
torch/include/c10/util/variant.h,sha256=NILkWGqe0vvIu0qR7PhmG9DVEOiTqpkdcX01qCkNoqo,104841
torch/include/caffe2/core/allocator.h,sha256=8aQJ-MnoaRXBZjgrSKrqQPFYw8tGOsAq0mFAGuS44DA,136
torch/include/caffe2/core/asan.h,sha256=pHz8syrrumI8TCk8seXEAPEI_nEd3D0y2irhx2FjizI,633
torch/include/caffe2/core/blob.h,sha256=DM9tj54qoMkTR_P8jQm657154D44_nUayoBo-d7CjvU,4168
torch/include/caffe2/core/blob_serialization.h,sha256=n5bdNB5npUtE7WtZujAlFHdwfIMua8DcyFEtZK8nXd0,8962
torch/include/caffe2/core/blob_serializer_base.h,sha256=88e7rG_WKTSs1QDB2iTPlHcm1ItEChTiCAOmNFigSmU,3032
torch/include/caffe2/core/blob_stats.h,sha256=-p0D7Ak-jvA0qq5eboumlMZ2lKunrpf9JcO4b8lWBUo,1128
torch/include/caffe2/core/common.h,sha256=DlkTaiRjtHfG5jiGdowgOpwzhR08GUfMuubrM7f80F4,5210
torch/include/caffe2/core/common_cudnn.h,sha256=OD2CnIJwDiDsFwjExv_jWQloadoh90FsbMXbn8MVhvM,9891
torch/include/caffe2/core/common_gpu.h,sha256=_l3i4KPgv62wQ1X05peadPahGNNR6fEd7PtKzcPmzig,22708
torch/include/caffe2/core/common_omp.h,sha256=LIc-4LD8RyXMKVGWR5poDey9wlhmEGwR1a2L05L6U_g,156
torch/include/caffe2/core/context.h,sha256=4QXRWa5Quo9-Oja7u0JEiuEDL4AKF7wSK0dReSzGSos,4728
torch/include/caffe2/core/context_base.h,sha256=fMkpibz-3q_R3_sjKnRmbWAnwoG0RTh5Yjm3w5FPcyw,4364
torch/include/caffe2/core/context_gpu.h,sha256=ExVCpBHwf_P7HDS-SejkX0rZB23Rqe46ly7Ohf1X9GU,11339
torch/include/caffe2/core/cudnn_wrappers.h,sha256=Qg0JIIdzXSiLCp1dpn0lIQ4xumr3M4mcmcQRx_79hus,6956
torch/include/caffe2/core/db.h,sha256=IItRCiSmw4dkjAL_dc9GYchzLrwFWNswN_J7AdI10Do,8819
torch/include/caffe2/core/event.h,sha256=HC86uybpV3nrgEd4xNCL7r9HHFqB5oHCMTAf0UPLK_o,12560
torch/include/caffe2/core/event_cpu.h,sha256=-zCs5aaogLBsE8jBjDqIcYq2_JCqyVP8KNsDjqGwPC0,1192
torch/include/caffe2/core/export_c10_op_to_caffe2.h,sha256=62IWozhU45AczCyGQf_O3fkebyOfOKrP_pc3D6vFcP4,9303
torch/include/caffe2/core/export_caffe2_op_to_c10.h,sha256=BKS1e_uRHBQuS97Seo_UUOm6MAJ7ugMz6QtDggpiVq4,10259
torch/include/caffe2/core/flags.h,sha256=snr2KJEttrumKTuwhbY1hpKR9kbZfxpur5cntZvuGko,74
torch/include/caffe2/core/graph.h,sha256=AlFBYzMZRjJaAh-55K6FzwiEQf_PcygsFoujUb3EY0M,5263
torch/include/caffe2/core/init.h,sha256=L_iBNUFF2ad2fPd2Z8mDkJo5-8V5YTQQ47kNtH-eaCs,6503
torch/include/caffe2/core/logging.h,sha256=WjNXUhorDfElPj3qGfIJiYbCUSiKuWUdJj3eaFBqJu4,75
torch/include/caffe2/core/macros.h,sha256=CWnf6oohwDi7TU22t5kvRIiqqaKklboc9KU4XyOYuHg,4029
torch/include/caffe2/core/memonger.h,sha256=uVr96GRE7z0kVtggsU_jP0eb5hSXb9s6tpUlBdnn9LE,746
torch/include/caffe2/core/module.h,sha256=O7rx6-Qz_j46994ffv2uz2_cMddEa3_phLtqkmqscn0,2477
torch/include/caffe2/core/net.h,sha256=iIeVXsyLN947vkbsTsh89sF_nl1hFNn6NDAV786GEAA,4614
torch/include/caffe2/core/net_async_base.h,sha256=za21fSrvg_kNgFCtgxPjum3ZiXSxXub2MXxBdPhF_Ic,7258
torch/include/caffe2/core/net_async_scheduling.h,sha256=elgfAQfKFfxdgYqG9vNMxFFHP5SDNoua3aBezS31p38,985
torch/include/caffe2/core/net_async_task.h,sha256=VjXLJxrphQ_90Iowr-W4-8AzxrqSfSEUgbK4KUeJb50,833
torch/include/caffe2/core/net_async_task_future.h,sha256=REYwXyomHCtGKTCGehrZsnTRmW_5fg-v-HonJJ-dVQE,1925
torch/include/caffe2/core/net_async_task_graph.h,sha256=NZmvo3U4wTlEQAvQfo5N56YCA144O3eeTNDCzRk9FUg,2253
torch/include/caffe2/core/net_async_tracing.h,sha256=R-vj2Hs9Jpi-xKj0X_cmDcti6n7NjxdDidY7KUYTZvc,5028
torch/include/caffe2/core/net_dag_utils.h,sha256=MEXzu_mcvuS5IeaI1hd-Aqu84p_QIOx-vY56e969khE,2146
torch/include/caffe2/core/net_parallel.h,sha256=uK9LocemUAwxI9rumvzTBkcLmdEra5YT4ymW70eTnjU,2145
torch/include/caffe2/core/net_simple.h,sha256=2mZ-m_nodyde-M2d8WexCFHB5dUEHS_jN9u1ky6ljaI,1437
torch/include/caffe2/core/net_simple_refcount.h,sha256=a9c59mLl-Fk-aALgf7gVa33-_fuC5t8Q2c6S7QmSkMI,2097
torch/include/caffe2/core/numa.h,sha256=-q1_phe-9-lOT0eMeiRXe0Vg7WLPKvIDilaC5RcdJ4M,72
torch/include/caffe2/core/observer.h,sha256=rZfF0aCOu9fjgQ2cVJjDM0-XOWSVADIS7-IZjM6_xgI,3809
torch/include/caffe2/core/operator.h,sha256=rp0ZByfDO3mLMAOI1Feq5Rf2OfSCdCyasDhNjdGRDSI,59992
torch/include/caffe2/core/operator_gradient.h,sha256=bkGjkm4hHDzPLG2z8kGkeHR2VitJpSIoAEkoPb4GLVE,10227
torch/include/caffe2/core/operator_schema.h,sha256=dscZUvLpjviqhR-Dxyby-ARzW_Vt6bt9hj8BxOHhcb8,19350
torch/include/caffe2/core/plan_executor.h,sha256=vygq_Vw3qfzo12FcQMM0at-_emtn7435EHrSzkau34s,219
torch/include/caffe2/core/prof_dag_counters.h,sha256=suMfSSpNSQjtxKZnqp4cCKG9diwzPvIEPavFAUnZBPk,2750
torch/include/caffe2/core/qtensor.h,sha256=I7pj9gB5Q7sof6fkFer2ADqCYGRbuNiz2bdrRn-39do,6580
torch/include/caffe2/core/qtensor_serialization.h,sha256=BDlRBQS4sexgFNYb6F80Lu6E59AiO35FcNTN2-VkbYg,2624
torch/include/caffe2/core/scope_guard.h,sha256=lTt5F-ShS-oIhxMxp2i5K0YCgeweKIzUykuPDHuhYjI,4676
torch/include/caffe2/core/static_tracepoint.h,sha256=0cfAzDo8d3qz837Mfl3rxJ1_sxa8PUsU-I8ntrkZvck,398
torch/include/caffe2/core/static_tracepoint_elfx86.h,sha256=pl6TZ59sNfhO7NcovBBlJNNN10D2Fm4nZjiu-mWbATI,5555
torch/include/caffe2/core/stats.h,sha256=aCaKaINYZgdtFY7hfRMa77Casbhv-qYiD-2Tyk3di68,10375
torch/include/caffe2/core/storage.h,sha256=jH0Uv_PlNyupq4jPCdbOgPiwAUFRoAQlJY9OygQKPzQ,733
torch/include/caffe2/core/tensor.h,sha256=erME5qC-B3Oa6LIoN3zOdsU9kpRsAsNZKVNkhdipsaw,21795
torch/include/caffe2/core/tensor_impl.h,sha256=Rn-Xoc6GNM8Wa16CkCUh0qJMGBISeaF7ptdZeAsfjWk,351
torch/include/caffe2/core/tensor_int8.h,sha256=Y-S6sIvXgDRQnJfxVqOF5HIvpYBctP-8ZEeo9zkKHwY,450
torch/include/caffe2/core/test_utils.h,sha256=BKnleDdA8B8PUrelr2CAzk3Kz2CaNl2xCKs-cyN05TE,6199
torch/include/caffe2/core/timer.h,sha256=RDrnGkzLCVJtarLuTCNzNCxuVkNCyRAOaOyMISGLwoM,1218
torch/include/caffe2/core/transform.h,sha256=cxReg1phz0czoZaCsp0RqMJH0ci_JtZtrnYsfVilCwE,5745
torch/include/caffe2/core/types.h,sha256=rstfuFQr7qMtC13QhRlNIcpTnm0qCkVLgzggTJGqvMc,2252
torch/include/caffe2/core/workspace.h,sha256=-03aDqcoUpkikDYXS7CNX8EL_pvDA1o4r7pGYmDRCLA,11269
torch/include/caffe2/cuda_rtc/common_rtc.h,sha256=ayDkqluCXnK7OoBFPhprcJNa1tQi_APQ-UqXIFW05S4,4350
torch/include/caffe2/db/create_db_op.h,sha256=9sbVWiCVmAiEDNSpQlWjyJUvy-TipNQpCkUouckoaFE,1190
torch/include/caffe2/distributed/file_store_handler.h,sha256=1-rGsUVMOMXtE1Hj6GtyoPaVbu45cwijE4y7WJVK2h4,977
torch/include/caffe2/distributed/file_store_handler_op.h,sha256=0a9ybDKOmE5NH8PP3d-pnV_EiIQ9NpT8Q8FPsc4tqH8,979
torch/include/caffe2/distributed/redis_store_handler.h,sha256=YIQ6p6HKFleAIsqtxG1nCSr6s3_Tf_rXTzGuvPfU118,999
torch/include/caffe2/distributed/redis_store_handler_op.h,sha256=P8luuYWx_V0y8kewTx_SIQAi05gjr-JOgWFw2zAnElo,1143
torch/include/caffe2/distributed/store_handler.h,sha256=vo_ua6L2WgxWoRPolxpJPAwTbBbL7hFY65h9iMwRxnU,2321
torch/include/caffe2/distributed/store_ops.h,sha256=ngfK5fgTNFsMjjFQyLG9xH3_ooW9276vii4QaiJE5pE,1064
torch/include/caffe2/ideep/ideep_utils.h,sha256=jc_7BqgV2mhO41gyzgb9SeSRfLYLa52mMwaCiHn05mY,2496
torch/include/caffe2/image/image_input_op.h,sha256=dRS1qSYFbz7MamypvwVkZrHbyQCRxKhXGcnU-GCDQwE,46963
torch/include/caffe2/image/transform_gpu.h,sha256=_mvip41mfvZQ6AFOHbs8j4B82pepy0J8d9VlrtPgH1E,1705
torch/include/caffe2/mpi/mpi_common.h,sha256=3Chz_Md_cpGQHUubfXESf6FPPHlBXLYs_6OltepjZJg,4744
torch/include/caffe2/mpi/mpi_ops.h,sha256=YY4DcGTCcgBPCNs3cFLHqsMUSUeKCIlSOA6RrfjKHLA,7771
torch/include/caffe2/observers/operator_attaching_net_observer.h,sha256=8XWJkPrzLsy3G_HKIcuOWX_td1IKPVHefKYawdxSkWA,910
torch/include/caffe2/observers/profile_observer.h,sha256=_Nputtl4uKw1UyjAcrDY3QuB-1e4A9LQlKaNjPMRB1Y,3262
torch/include/caffe2/observers/runcnt_observer.h,sha256=fAJ90xfkG5ymKOszwd67pTyhyb2wpIoktSKVIZNTItU,1369
torch/include/caffe2/observers/time_observer.h,sha256=PzFsu8CToIdvqELdL13XWB5bDPh8UeRGTklNEW7OGiY,1866
torch/include/caffe2/onnx/backend.h,sha256=4O64fbBH5bZ2Vr72vwtNubJ8W-m-zDHQHRQO6J-k27U,8978
torch/include/caffe2/onnx/backend_rep.h,sha256=651jOFXSy8Tz7gK1K6paS_xDtNC_AeIsG59H51RtFwM,1099
torch/include/caffe2/onnx/device.h,sha256=LM025ws8PDVOmF51Lf1zEUwGqWxCgpwlYboNOFjg1CU,443
torch/include/caffe2/onnx/helper.h,sha256=yyYD1UMYkiz2J5xMbEF-wSN1w42yDcIxWiZTG2bmVrI,2821
torch/include/caffe2/onnx/offline_tensor.h,sha256=51LUiPmKo_k7ciT6LVNvRzYiFGMt9mv6X0DW0ohDnMQ,1625
torch/include/caffe2/onnx/onnx_exporter.h,sha256=GP7zoxwSm7ErXo258_s1k3TF6tL-umDQR0CtBli6DUE,4681
torch/include/caffe2/onnx/onnxifi_graph_info.h,sha256=WSHZ8aD9cCOhkm4E1IQkFtt4__6PLpIBwxSz9m3kWX0,3539
torch/include/caffe2/onnx/onnxifi_init.h,sha256=PT27G6FPnBfVZKm7-jkt7sZn7-JK49tsrTdaEVR7tGc,166
torch/include/caffe2/operators/abs_op.h,sha256=1AuSvLmBC2wDi5PJL4JOYZw-Ffc49xyxph1k9sEl8Bs,705
torch/include/caffe2/operators/accumulate_op.h,sha256=ehjslLicUTZ0VJ-apN-Tm9YdAeQzdB2Ra1ZJ-xja39A,1073
torch/include/caffe2/operators/accuracy_op.h,sha256=CoyXBM-8aP2iNi6-7daKFtcUjXZ_URva_aX-QXkBwhI,653
torch/include/caffe2/operators/acos_op.h,sha256=RD7DrHlaj6atW12vzT1XC7rBgyuT9q0FbXYJAuuyzI0,711
torch/include/caffe2/operators/activation_ops_cudnn.h,sha256=OqhFc9seiXxfX8Ct_2oR5R5CERnnozveJqXyE1sRjUA,4121
torch/include/caffe2/operators/affine_channel_op.h,sha256=E3sEHKtF2LOQQXbkvd-kAunnloG0Yc-o7zWY02c_chw,3458
torch/include/caffe2/operators/alias_with_name.h,sha256=OUbE9OPQx4z_c8-CZpZhzwL_n0LVeNqcBpmrVFh5URM,1234
torch/include/caffe2/operators/apmeter_op.h,sha256=fqB66-824DH2UrAysxm_Oqd5wNU6rcERSS_Bj1u9vdg,1027
torch/include/caffe2/operators/arg_ops.h,sha256=jyr7PIQDPdTJolneyxZSTfOT4RIX8OzNpylOqFoXKO0,2319
torch/include/caffe2/operators/asin_op.h,sha256=yJbpcLDjhjQAOL030c3MMxuFSKFF5kytBb-U-CuKFWw,711
torch/include/caffe2/operators/assert_op.h,sha256=RZ29fEoVnY3eSPBu_Jshca0kAq4_YMty7EV3Q9dKz2Y,1335
torch/include/caffe2/operators/atan_op.h,sha256=MSaHEaj0SP4zh7Gy27NrvdIh0tm8jvObK5I_a8ddsLs,711
torch/include/caffe2/operators/batch_box_cox_op.h,sha256=2sDCrf6hdA0AcFXnX88bwtOpbhv_ZLzbwupiIzlLCoQ,2187
torch/include/caffe2/operators/batch_bucketize_op.h,sha256=Oiluj1OntXwx3oRoGVXDg9giVqDngezM91QWQv1-tLg,720
torch/include/caffe2/operators/batch_gather_ops.h,sha256=m07WKLx_8YSvv8dTmTn4E743rt8tmaKrtLrsCIEQUfs,5264
torch/include/caffe2/operators/batch_matmul_op.h,sha256=9ExCD7_iQoqB_UHr_zGLly9t_9Cc3qi-TY7592C55Ck,9602
torch/include/caffe2/operators/batch_moments_op.h,sha256=jndwkGwMfYdCp5Id5PiXLn5kJqa2NLRxhEC78POuhVU,3364
torch/include/caffe2/operators/batch_permutation_op.h,sha256=PLSVqDzqmoriZOFviTjlei_UO13CTTZML7R-XFwt8MM,954
torch/include/caffe2/operators/batch_sparse_to_dense_op.h,sha256=k4AZBuUDKHMM7TzH-WLD603DpoctGopW5apwu_6stkI,4578
torch/include/caffe2/operators/bbox_transform_op.h,sha256=G2MS1SRS9LkbXjK2A9laFJWr72eZ1SE70RPgpUpb2ms,2668
torch/include/caffe2/operators/bisect_percentile_op.h,sha256=E9jvLv9F3i9Agcz9aoIKCMyKPB6DFs-b9uXM-f6wQy0,4921
torch/include/caffe2/operators/boolean_mask_ops.h,sha256=rjXpBQ-xlWJP8glcakhxr-hu9twfTh2blN91WL6ibeo,2665
torch/include/caffe2/operators/boolean_unmask_ops.h,sha256=YM-Qp2k1S0_uZTdmnz_IXs2_DwzaeL80qOdaG7WNY_4,378
torch/include/caffe2/operators/box_with_nms_limit_op.h,sha256=ihIINs07NxPjjs5QiNMu2We86bV_AnmKErFVfQ3393M,4747
torch/include/caffe2/operators/bucketize_op.h,sha256=xsvu015gJ9Bm1lwvfqmrbSbpSie7-aSJlc5M7DyaH90,963
torch/include/caffe2/operators/byte_weight_dequant_op.h,sha256=RSSP2-Gqayq_pM0arX99dO4NIuiRrq4YgQeJbJXWLYQ,1720
torch/include/caffe2/operators/cast_op.h,sha256=erT2uUOig99QXmUxQB7Iv_zq7evn-jd_6xB7UOFSVN4,1394
torch/include/caffe2/operators/cbrt_op.h,sha256=D025B2MCP3qAYgPGr75I4nLqeL1poKGcmM2bqWXA2Aw,723
torch/include/caffe2/operators/cc_bmm_bg_op.h,sha256=I19wNQC6IY7qj_hICu-Ci_0ZCtWFPGRvH2gGRwpYt9g,3894
torch/include/caffe2/operators/ceil_op.h,sha256=2u_pABK2aN1QD4sZbZ0G2tn93qfFYDdARIfH4giUfV4,782
torch/include/caffe2/operators/channel_backprop_stats_op.h,sha256=xOMmMgP2mNfFMBkDGYoCGPrCdMCm06hgKMqtittJZNo,737
torch/include/caffe2/operators/channel_shuffle_op.h,sha256=-OTWqu1RA-GSWE8MeVqT9ArTwtcufCMb7Fuoe8a9nKA,1902
torch/include/caffe2/operators/channel_stats_op.h,sha256=rsT19nfc6Q0QrbkaUxMQzMEKvOcnaBc4o_nqI5SiI6U,1807
torch/include/caffe2/operators/clip_op.h,sha256=k0tSSHdM15Vdq7ofOr4wo6jfyvTr2RMbFE9SO827ivM,1639
torch/include/caffe2/operators/collect_and_distribute_fpn_rpn_proposals_op.h,sha256=ypTfLM5kq7V-x-VxhQsZSsiXwfBRlG-Hv63RC6q7zBg,6875
torch/include/caffe2/operators/concat_split_op.h,sha256=qYDBP4-AEXs6d1PSRnD6cNoGqZX9MXnoRx2YgGEdXzw,10849
torch/include/caffe2/operators/conditional_op.h,sha256=OiG1JsC43JvPsv6ikx6lNLX9HHwLafc1TJr3hdPt3yI,477
torch/include/caffe2/operators/conv_op.h,sha256=yu3iZliSmixC3xdh-XatxES-q6fB5JNozjJrtc1fLBc,3125
torch/include/caffe2/operators/conv_op_cache_cudnn.h,sha256=-RauokyDt6E_snYgRDJyY-BuEboQ8fm-wBd1k7lp89E,1935
torch/include/caffe2/operators/conv_op_impl.h,sha256=JAlEZujCKZEDl5f1nxIvIEURuj11Hf2mSXIbbws9jdM,28678
torch/include/caffe2/operators/conv_op_shared.h,sha256=f5EDeKtc9C7sVMAbHI5GniRXLz30NUAfvOwhDVJlobU,672
torch/include/caffe2/operators/conv_pool_op_base.h,sha256=O90DnRbtiuv_CNl0IGsPYvVK3jiErYzir9s5bvt-4eM,31704
torch/include/caffe2/operators/conv_transpose_op.h,sha256=hpoQcu5GC7ib2DUjjs4JnWwTb2IIVgucgafGL29jpi4,1727
torch/include/caffe2/operators/conv_transpose_op_impl.h,sha256=zksmtLZFOnuVusBwmDYx98lR8OibhbsU9XXlPzggrW0,18182
torch/include/caffe2/operators/conv_transpose_op_mobile.h,sha256=AVmOQvy98sr_G13vM14-WoX1DdiiOfcNQw95Ftd4YZg,1453
torch/include/caffe2/operators/conv_transpose_op_mobile_impl.h,sha256=H4_oP3YMY1pNxFb_U6AcqtUqe1rbTt6XrOnhqK11eXI,19587
torch/include/caffe2/operators/conv_transpose_unpool_op_base.h,sha256=l2RanhkBJ6y7rlelnjFDL2AsoYTIMcXvB552Xu-02PE,10239
torch/include/caffe2/operators/copy_op.h,sha256=3bnhGBTklGnDb9pbhcoVkaW6jV7nLciB-vUWnDiTntQ,1146
torch/include/caffe2/operators/copy_rows_to_tensor_op.h,sha256=mCBNBXbFChlyyFwLfrR2Gty0kV9X1JZzR7ZKGEP9120,2546
torch/include/caffe2/operators/cos_op.h,sha256=pMgO0_ie_R7ktKMY3EbJ1wiNtEaOxnGJAK2Z2qmy18Y,705
torch/include/caffe2/operators/cosh_op.h,sha256=JmSJDy4HpDGZJDT6bO7h90-V15mLagCByaPu6yHf0z8,711
torch/include/caffe2/operators/cosine_embedding_criterion_op.h,sha256=PTDQY-gR4uAMbpm_CRR_XEsb3SVEKc4qMCcDisRXOTw,1127
torch/include/caffe2/operators/counter_ops.h,sha256=D9WRvV_aZDe8nOCFXXkQjD4ziLqwaOE3JvI-Me885yQ,4597
torch/include/caffe2/operators/create_scope_op.h,sha256=_HfM-8XLhBqqzRx11I5nLcL6ycuZZSVpHP_Yoj858xw,5213
torch/include/caffe2/operators/cross_entropy_op.h,sha256=EQ0ex6eRRNk1jggST98nfZpq94VC1JQjHXmLAR8vDEk,4422
torch/include/caffe2/operators/ctc_beam_search_decoder_op.h,sha256=JPvjZoLRu-JOcw9Q6ClPpalPtlzt1Fi85xeBEy0Tcqo,1102
torch/include/caffe2/operators/ctc_greedy_decoder_op.h,sha256=prId21eqtKVpqvMjsnpeVKwFhgnF1invqWjOuJAPjjc,817
torch/include/caffe2/operators/cube_op.h,sha256=aFr9Vb9tk6jPD5s3Nqak5YpCAkUTWcJkdONgLoAJomw,723
torch/include/caffe2/operators/data_couple.h,sha256=G6ullfYwOZN8OqfrTy4_-uDd5BwcEedZzmt-Fn9qV10,464
torch/include/caffe2/operators/dataset_ops.h,sha256=-f_dbTE8_K7LE62dK3nj6fsc6I4khifdkf011kwgHUE,5334
torch/include/caffe2/operators/deform_conv_op.h,sha256=QjEeRJE2nrnzO1GxzXjFyr-oGdbH0byKtiz4aziXADg,3543
torch/include/caffe2/operators/deform_conv_op_impl.h,sha256=XFtEH4eSdCFftgGuk3C4VbLmbB9_1pw6pBKO1ydGGCg,12998
torch/include/caffe2/operators/dense_vector_to_id_list_op.h,sha256=BN9hU8E-xjhoy6O_cH0l5gv8IJy13lxGsVuAM034jFQ,1797
torch/include/caffe2/operators/distance_op.h,sha256=s2gSj6qljsQ0gCqyogsGZBdFhfvPgaRAXluF3d4BtmY,8419
torch/include/caffe2/operators/do_op.h,sha256=nyuyML8NfnIKijM8S49BGNbF4drtoytaLy2ov5ml1os,6918
torch/include/caffe2/operators/dropout_op.h,sha256=sS6_DlrFub4gmg1dvsJlunSrYfA8aB82-EL2bn_Uznc,1516
torch/include/caffe2/operators/elementwise_add_op.h,sha256=JHFrnFc7qLSGUqafdx8R_OkAyM1VNXUnYEc2KOQQeq0,1792
torch/include/caffe2/operators/elementwise_div_op.h,sha256=nMq_ftqKylNrRPGWaZFD_9q5AyhdRaQ6Q157N1gvoOo,1062
torch/include/caffe2/operators/elementwise_linear_op.h,sha256=TzJ_E7YhSeMYyFvN2kS3H77nECQJvtVMl8PFsnr6leI,1171
torch/include/caffe2/operators/elementwise_logical_ops.h,sha256=mDtBwrxa3_DNeWu8iABjMu7X2sMNnE03qVwsVZEkXOM,5083
torch/include/caffe2/operators/elementwise_mul_op.h,sha256=XLJ9YsDXUyZ4aE1VfF92tUN8rjT0nIAyzSGODSe16qA,3392
torch/include/caffe2/operators/elementwise_op_test.h,sha256=mvF03HU0hWmJ14zFX9D6wOMTKHPEtmdBAjNgV3M0Na8,9237
torch/include/caffe2/operators/elementwise_ops.h,sha256=kJ_7jcY7fJ0WJeFGGYGGjL9HgQg0olBIU3LIUqKV1yA,16724
torch/include/caffe2/operators/elementwise_ops_utils.h,sha256=3uJdt4BkWSFIk2277R0vpfn31ID2BsoLFopSfa1I870,1008
torch/include/caffe2/operators/elementwise_sub_op.h,sha256=SK9gugHELWSDDPrWGNRmZ3-6frXjXQ15YqeThzOzkOc,1793
torch/include/caffe2/operators/elu_op.h,sha256=yU0AZLzyddcz9ErBcVujdcEhoC2FDEKz5g0-AR62ZyI,875
torch/include/caffe2/operators/enforce_finite_op.h,sha256=wC-ZfQVEpD7t-wek7SuzkGqLvGD7L_FrJg8M8nP38uQ,1134
torch/include/caffe2/operators/ensure_clipped_op.h,sha256=jswXhqv-Xl9h2M-2lKlDBka_GP0G-puoCpOacYTq6R0,1608
torch/include/caffe2/operators/ensure_cpu_output_op.h,sha256=q0YyN8aZkeFRbTglEALTFlACCtgY3CFbKPxDbiwitrY,1457
torch/include/caffe2/operators/erf_op.h,sha256=LqihCkjY-GrUiCpaSHXfo_aKymG_3p_g5K0ybEnvcyw,751
torch/include/caffe2/operators/exp_op.h,sha256=iou8Vsj5Tt77IN-piN--PIEgdJYZ8iM3b0FbW5KJUgw,425
torch/include/caffe2/operators/expand_op.h,sha256=WU29xQghTqUVpjVMKBlOtvSSdq_x4jttp8qnt_LT69A,3543
torch/include/caffe2/operators/expand_squeeze_dims_op.h,sha256=OqtR_CdN0jm6QsoDbl9CtxtNavABy041iffY9Hwhkfs,3389
torch/include/caffe2/operators/fc_inference.h,sha256=T3QygPwoGUlxmilXM3MGdquW0kwDo_Fzkvzu6TTPvhU,468
torch/include/caffe2/operators/feature_maps_ops.h,sha256=aFvzrUXRr-FIKPQHWl5-_8ADG1BefEh7XJb8viFiO24,30066
torch/include/caffe2/operators/feed_blob_op.h,sha256=vXId7mPvQ_w43nYtCtvhe93_X6q6kJ-CY0D3n0LMcyQ,802
torch/include/caffe2/operators/filler_op.h,sha256=SFqLdjkh-WaLU-eMcrRQbGcePJgDI88R4bTiG9hk6LI,17995
torch/include/caffe2/operators/find_duplicate_elements_op.h,sha256=gC3NHRo4hxESrHGM9SmDJhm5YHTrThxKZzjid3Nus9I,1555
torch/include/caffe2/operators/find_op.h,sha256=XAG6bxFyvhIRAf0Sha7QWPhpS6TPXrIBadhEkiezb48,2055
torch/include/caffe2/operators/flatten_op.h,sha256=L6GGdgFBETDmfZClMefxs88G0mfc8cDG9sTNs79mXnA,1525
torch/include/caffe2/operators/flexible_top_k.h,sha256=CMeiBKwj-XbdI3v-yhsD-2pana6wS4L59BG5KyPhBKU,936
torch/include/caffe2/operators/floor_op.h,sha256=xB_fKepW8tDSX3LATg5UhX6Ig3DFTtYjuc9vdYU1MxY,788
torch/include/caffe2/operators/free_op.h,sha256=LNuuCRtNWjIX0yTReBGvDQXmtQkGzd7ZiihRUMIP9ak,777
torch/include/caffe2/operators/fully_connected_op.h,sha256=A8grQx5u7UA9DwRt0XRIsgTuyyUue7nBB9Xwnf8XTK8,10695
torch/include/caffe2/operators/fused_rowwise_8bit_conversion_ops.h,sha256=GEevTTQj387kTlVtjRe2i0o5Ty5Y-6YhAjsPuGZVCws,5449
torch/include/caffe2/operators/fused_rowwise_random_quantization_ops.h,sha256=jRGUZx2xWxLBqR8qImp7O1Jp7cP5Ng4Ndiv9b1K56D0,2607
torch/include/caffe2/operators/gather_fused_8bit_rowwise_op.h,sha256=o9VH5HCjqSqH7Dsla6dBu3NT9XVr3MwMQVMVoIrbLGs,2179
torch/include/caffe2/operators/gather_op.h,sha256=3gaZEHXdR2CbDbg8reps8IszpTPCt4tJ9lwz7AM2rUY,7504
torch/include/caffe2/operators/gather_ranges_to_dense_op.h,sha256=sQ4PudhN3CjOd92gCtZtS7Mo2W_-WJpIY05a5GUG7oM,6775
torch/include/caffe2/operators/gelu_op.h,sha256=WNezfldfNjz_Os0RTLQCjI7cgKJrHD9t7LhDWAOvxFg,1452
torch/include/caffe2/operators/generate_proposals_op.h,sha256=Kwi7P5wKzn4leY2brjhMVTw2PBBEbg8YiQsnLpvx_4Q,6258
torch/include/caffe2/operators/generate_proposals_op_util_boxes.h,sha256=NN3PmlTJ4jL7UbpChedbYOhu1mMbC0DBhdXrom2i_Zw,14271
torch/include/caffe2/operators/generate_proposals_op_util_nms.h,sha256=XAGAJ6QFLU4Epk_jgPdI66KeI9erwbBw6HXD-ZbB0_E,25934
torch/include/caffe2/operators/generate_proposals_op_util_nms_gpu.h,sha256=iuMjz8K3G1k360qvtmzr_nagwoz2v9vpBH9JCuhVQlM,2131
torch/include/caffe2/operators/given_tensor_byte_string_to_uint8_fill_op.h,sha256=xoVWcZ1EhyWJyH0cS_4DaHCEH9cijyquay4zrmxnjdI,2055
torch/include/caffe2/operators/given_tensor_fill_op.h,sha256=7kpvp0BjNdRrn7Hc0JvKU79X5eaImovL9BcuFHsNH_A,3017
torch/include/caffe2/operators/glu_op.h,sha256=H52pXxFIO5Wq9nT59R8H21XfHBYCyXkxel3yVF5YDCk,1458
torch/include/caffe2/operators/group_norm_op.h,sha256=wKwXLqca0w0KEbERYD9tQimUNPAWiU85x_GcnsjWMOA,8967
torch/include/caffe2/operators/gru_unit_op.h,sha256=CAr2X6vS5YHX9oPjjppJDONDsfPvK2JGzjKXQHOtpaQ,6626
torch/include/caffe2/operators/h_softmax_op.h,sha256=oDzmf8zz10EClryDih2hAM3LWmYm4jSPGsOSRzrc7s8,4976
torch/include/caffe2/operators/half_float_ops.h,sha256=FGQS2xwYa2m46HjnCm54TC-eX6dl2tyjKSvG5EuY4yE,2512
torch/include/caffe2/operators/hard_sigmoid_op.h,sha256=X581MD6VirklOz1IL1AV_bxAi73DNyVvygMhwwAitmc,994
torch/include/caffe2/operators/heatmap_max_keypoint_op.h,sha256=y-cFJ90uAiccxWeS4q3HOqHx7OiP8QevhDgH2oFuCzM,939
torch/include/caffe2/operators/if_op.h,sha256=539gkfJOOGGaWO8SxT050tt3WuVs_R-lOamSXk9clP8,1764
torch/include/caffe2/operators/im2col_op.h,sha256=t3Syauhi_BRJAisxjwir_cnjN_rLjThDl0EIgnwJnSU,8943
torch/include/caffe2/operators/index_hash_ops.h,sha256=pRg2IfwPnIWVnDEYAwmdD5RudRw6FPlFZKKGKmynA6k,2118
torch/include/caffe2/operators/index_ops.h,sha256=43XzkNFxFyXCeFRrTFZCpoBEAcBWToL7I2gpV2tUJlE,3043
torch/include/caffe2/operators/inference_lstm_op.h,sha256=dMkZOlohsXLCB5GHBAo1bK2-cU1_VY1swEGUh4oKqn0,9881
torch/include/caffe2/operators/instance_norm_op.h,sha256=vIvKD69cqB6OjF5UncEWXPLojzDHkh0pMZfotoRQowU,7441
torch/include/caffe2/operators/integral_image_op.h,sha256=fH2nFBc1LXlvQKjIvkdg3Xqtwy1WncvX4EkpmM4mW0Q,923
torch/include/caffe2/operators/is_empty_op.h,sha256=sFCPpQiG1r0WeroH3e2fQUc9Dv_zF0HpP9nO1mTthsI,558
torch/include/caffe2/operators/jsd_op.h,sha256=IpJZcBOQ5Xhsh92zukcAv53PYALla5Vu6BiF-jpUcs0,721
torch/include/caffe2/operators/key_split_ops.h,sha256=NtXYnPcLt6rxXxe6HWJ0XRX115Vh66KZb6FtSIt4_70,1400
torch/include/caffe2/operators/layer_norm_op.h,sha256=HjSA-WBy4uVGGEsVpJtNu9yg8xxdL0uPATk7hXgrZTg,7721
torch/include/caffe2/operators/leaky_relu_op.h,sha256=5x4LTjk7sG4wib7wCNC6GI7hhFWycDYFiUieUzPodsk,1109
torch/include/caffe2/operators/length_split_op.h,sha256=pDdgtfVErJjOW3niaX3GySkN__EQHna_CAGghvdBTYU,2259
torch/include/caffe2/operators/lengths_pad_op.h,sha256=lrPys3NsP8Cdw1lr1S6FXMCTe6JRLtdQv9HxA5gxTF0,2574
torch/include/caffe2/operators/lengths_reducer_fused_8bit_rowwise_ops.h,sha256=3ulCO5futuzokW_UtSjsFCI7eXL7MDp4BBwJL7n8vhM,2719
torch/include/caffe2/operators/lengths_reducer_ops.h,sha256=Xd_LmHooBbwHE6T3z2jGwbLMDfYbA3oBpSl-PaJAEh0,3523
torch/include/caffe2/operators/lengths_reducer_rowwise_8bit_ops.h,sha256=gT9eJwe5sjWmBivpRrR7htFtwCvTLM0DUQEg_C0FZjE,6159
torch/include/caffe2/operators/lengths_tile_op.h,sha256=iGj0cq1tjHt8gooSRNtRBVNNj3OizYBZt_XOcRRor94,582
torch/include/caffe2/operators/lengths_top_k_op.h,sha256=mTaDoR6Yk_Xf3ObRxCqxuvVLv_xhaviZlRCd_ibMrDg,1358
torch/include/caffe2/operators/listwise_l2r_op.h,sha256=RnR1aEXds18-hSTRj_WMQD1r6AhiaLFIkJclttm7qKo,1677
torch/include/caffe2/operators/load_save_op.h,sha256=7rFAjNoY7XCzv-5r8m4T0D8gO2MRlMKkxs-Nwvt7SW8,15847
torch/include/caffe2/operators/load_save_op_util.h,sha256=hMiktiSXlDqsHio_8VKLmWWzY0GTCcGveoPWdOtsIOY,1294
torch/include/caffe2/operators/local_response_normalization_op.h,sha256=z1yc2Mu3dY-deh78HKFlnW9eag1oW6IrYtmDAVHAyaU,2804
torch/include/caffe2/operators/locally_connected_op.h,sha256=gikPpSDx92QDW67R8TWyYpINDqv5vxwxAGzK1FDl0mA,3872
torch/include/caffe2/operators/locally_connected_op_impl.h,sha256=4u0Lgck0dyqUSH_CCeEYXrHbjgNDiMChQHLmQunWOCI,26495
torch/include/caffe2/operators/locally_connected_op_util.h,sha256=Wsl2V_PeYv1oipIEJ8gpp8mI1h6mHhW_Pvt-nDgqBvE,1334
torch/include/caffe2/operators/log_op.h,sha256=Axo6HvtdZs41bRlv-Oj8ByW3YKeVgqWtehUjQ4QVdC0,431
torch/include/caffe2/operators/logit_op.h,sha256=pBI13SLOMDM9JeEJIsV_8YI-ZpIHWfeMiWUBw4leZuo,1036
torch/include/caffe2/operators/loss_op.h,sha256=xHnY1JjwL4HTTTkWdiS6U9N5B_luhK5J1OjOexl3WPo,1058
torch/include/caffe2/operators/lpnorm_op.h,sha256=m4YPaU4iz3XfuP8sa3Rut7dFo041HHxnSKx79b9rf6c,1279
torch/include/caffe2/operators/lstm_unit_op.h,sha256=M0cG-ydvDaxlPjNuVBsxoU4BgaqpLD5Q-S_D2PTZx1w,8807
torch/include/caffe2/operators/lstm_utils.h,sha256=986G3sfJ-zENmSvlD9QYajlh3hpxMfFYo_llQZsGAW8,9424
torch/include/caffe2/operators/map_ops.h,sha256=skH1nN-H5THvNpDxMjO0fD8BG-kV8-BvwEH-ry7l1mM,7980
torch/include/caffe2/operators/margin_ranking_criterion_op.h,sha256=T6Oj9CMO9Dl1EvrW2qtY3SzH3xeELYq10c8rFqKylX0,1113
torch/include/caffe2/operators/matmul_op.h,sha256=N9g7CYffFLnjUoQuBS5ulzu0kmcjGkE_Xh1ZmODXZZ8,2843
torch/include/caffe2/operators/max_pool_with_index_gpu.h,sha256=9Z7KlJnl6Gu2JTpohcaR9y1CQuVqrEZlF9X2RruNJyw,1155
torch/include/caffe2/operators/mean_op.h,sha256=O32ARHxVZQPTWLlJMyUb1dww4JKjUjvmfSuEXyKowSA,3036
torch/include/caffe2/operators/merge_id_lists_op.h,sha256=eXOEdVWExRnU0HTE7ssl0DkZg3a2nMAZ-t-S5wd0-8c,2416
torch/include/caffe2/operators/minmax_ops.h,sha256=nVMQrdrjtp9JkHH1dasuy6kG11cluAGq5LTSV5CxfWw,3829
torch/include/caffe2/operators/mod_op.h,sha256=b-F6XiLfujpctutUWvwEyBlPunx1C_Z_FZ54iX4xDAU,984
torch/include/caffe2/operators/moments_op.h,sha256=8yx7mltsVM0gMbYnuxfeg3CxGuKPJCmEhEPQ4yPNPm0,3756
torch/include/caffe2/operators/multi_class_accuracy_op.h,sha256=5kMqEbPRbKotbj09snPGvVhOBEcTCP6z4JfMP93PlqM,539
torch/include/caffe2/operators/negate_gradient_op.h,sha256=PenlwTJLZskiuazUtWXlhwTne9hqMwub6Ky_nzthKH8,566
torch/include/caffe2/operators/negative_op.h,sha256=cR1FXsGQyeEV_dEkVGCveCI8eXyln2To5X8yIm9XQVU,451
torch/include/caffe2/operators/ngram_ops.h,sha256=crusSprMkGKWJqYN7YGXx6yAdYsH7qjrFZR_CdsyxOE,2644
torch/include/caffe2/operators/no_default_engine_op.h,sha256=zS7l2FGHRSy912gr5lPGFLFE5eza_mu7B0C3PmdPN10,1063
torch/include/caffe2/operators/normalize_l1_op.h,sha256=PyI_reiURxafBd22X_eFJAzgbOz81LQWa5PDD-G7cOU,1075
torch/include/caffe2/operators/normalize_op.h,sha256=NRhlWrVn6u2fDeJO0ZdcUjECwz0lqrxlvfR8sjyZT9w,3013
torch/include/caffe2/operators/numpy_tile_op.h,sha256=EAUgpvnH6YN4JpFNVksFsIPjM2aBjhCxPtd8iiyuISc,3591
torch/include/caffe2/operators/one_hot_ops.h,sha256=vslPvawtd-yHAr8GuimNC7tXR_2GEL0hV8eiYnULjEU,2456
torch/include/caffe2/operators/onnx_while_op.h,sha256=BRTjaokcESA8CJvPl3NKHSNOwri_6Fp5CMzP2MAV0vo,10600
torch/include/caffe2/operators/op_utils_cudnn.h,sha256=T78jv1PB12RD8NsGeR4RtIkYCPt7P-P_gcutdBzR_ac,2112
torch/include/caffe2/operators/operator_fallback_gpu.h,sha256=Kl6pDRJOS6SW9-XAGoCg9KvrqlbyAbzPaX6AKMIbLpI,4155
torch/include/caffe2/operators/order_switch_ops.h,sha256=IixaCzVPBFvh9-RhBJgHJib0DNaFyxi8214SOsAUzYY,2149
torch/include/caffe2/operators/pack_rnn_sequence_op.h,sha256=2vgS2ke3S6QYDpErVgXF6NPEmqOYNJ_jvokarvLJlrg,3074
torch/include/caffe2/operators/pack_segments.h,sha256=tBejtBalIX21-TeQdrb56_4IiOM8ixQbIhV7i8iB5lI,2577
torch/include/caffe2/operators/pad_op.h,sha256=5dxeWd7GgCBAEhUn2bqyLc3Vhl3WONDW_AIx42JiUS0,2903
torch/include/caffe2/operators/partition_ops.h,sha256=a_vrAXaCc1qjizdZtK9J3ejp26gKXhqQIV4e3miWfrI,9958
torch/include/caffe2/operators/percentile_op.h,sha256=k4_b3J3YZm_n8am-No7u6ytjCzMn7HBaaAap3rTcjhk,910
torch/include/caffe2/operators/perplexity_op.h,sha256=NR1G0nb72v2BTGWyzFWBWOm7C5pwhpDbIJObIwAelA4,447
torch/include/caffe2/operators/piecewise_linear_transform_op.h,sha256=uAkS83EAlPAFLgJmt_0yCNb74s8tlmW7JYsjUXmSMRM,8281
torch/include/caffe2/operators/pool_op.h,sha256=ZxgXg8UcrSWAWXBJt76Ws_w4H5Y2fu1rCjuCrccJJbI,8525
torch/include/caffe2/operators/pool_op_util.h,sha256=8dilfxxPSg899bqBdxc4lS9DVrou7J9rakDdUP0r_9A,1105
torch/include/caffe2/operators/pow_op.h,sha256=NqW1AtMB7iiuOqmhUh1-bUz56NOqm3n71Cv63w8FvdM,4679
torch/include/caffe2/operators/prefetch_op.h,sha256=uu1EqUGqa3HGS6e8J_URVqp3Wr9Thic1c_vTXxlzqDI,4655
torch/include/caffe2/operators/prelu_op.h,sha256=otdQeDJX1cM7LnVInR_1fzP6cxBmAhN1dEyC99ii4_k,1067
torch/include/caffe2/operators/prepend_dim_op.h,sha256=juTKyY8FTPPqgx2uviGxZ1AR1M7ESReKc3SazCY5mZ4,2654
torch/include/caffe2/operators/quant_decode_op.h,sha256=--evoWrJA1DOBstLlTf0RGF1uNfpZ1RYynfHoW_6kbI,5370
torch/include/caffe2/operators/rank_loss_op.h,sha256=Tfz4nklsHPYWbLQp-gSuVtNmReHMz8SfZv6bwamSV2k,820
torch/include/caffe2/operators/reciprocal_op.h,sha256=ohSxgpew6sFFBPBnXb_vRFMlUJ6K2m3h6xs0I9_yz30,721
torch/include/caffe2/operators/reduce_front_back_max_ops.h,sha256=pD7KV8Aa_3uD8o8spqHbyHiC_utfgU0NLx0W7H-aocw,4407
torch/include/caffe2/operators/reduce_front_back_sum_mean_ops.h,sha256=Oh9dLZfCcHTQYLd_ZXAL2wdhuH3hpuva1SO7TA1wEEY,5345
torch/include/caffe2/operators/reduce_ops.h,sha256=CL9k2BhKMYg1RIRr_rZ5ZAAHWFQ1-ax3rGQFKmW47n0,8565
torch/include/caffe2/operators/reducer_functors.h,sha256=YK7SsfYNWJL2OtrP8BE2rbm_a9xVolRxv1_nd_O7XyQ,24554
torch/include/caffe2/operators/reduction_ops.h,sha256=U1ZCFVUzN8b3vTnkaEDg7ASo8uYNVMFmm9SzlQnxGHE,5936
torch/include/caffe2/operators/relu_n_op.h,sha256=CnWio6n9wCg1UW8E7dAl-91difqlAsTZlCqocUdf260,990
torch/include/caffe2/operators/relu_op.h,sha256=NZ9rBBe4xgkwyqxZ7DF-kbbyjImjsp_owIhA7hwoPKs,624
torch/include/caffe2/operators/remove_data_blocks_op.h,sha256=al9Tw075FhwbZjjCw_wlfsn_4CrGX34pbyx4YVyi3S0,2651
torch/include/caffe2/operators/replace_nan_op.h,sha256=Rh3VtEH9zRuMVFFOvte4H9L7nsOY40Curcs3EF5Z_gU,1170
torch/include/caffe2/operators/reshape_op.h,sha256=EzOC391BO7ldCI1BItT1vXcKL2uHON4zYsPc3SVJjwc,4670
torch/include/caffe2/operators/resize_3d_op.h,sha256=DW6vzkIiwnHgrDzjZYhiszhXpDUukAEMPLW_DU-JWFA,2677
torch/include/caffe2/operators/resize_op.h,sha256=m2fuVqj1ZCR42M62G7yE9NJGI7E0xcnrN2ikLa5s5MI,2307
torch/include/caffe2/operators/reverse_packed_segs_op.h,sha256=RKG_14_sU_H7YBlEcBnRHtSuIXns8l-JcXtKQOICvWg,2772
torch/include/caffe2/operators/rmac_regions_op.h,sha256=uZGQjfcOfU896Q3Mv7a2eSvUSwf-dKKQzxAHlEgwFwc,708
torch/include/caffe2/operators/roi_align_gradient_op.h,sha256=MR2IY3YRhhTsJjHxwKKg44dwbDXsAew8lbYvnLghOnc,1304
torch/include/caffe2/operators/roi_align_op.h,sha256=ke_YQU1OtmDp0IJkvk2N2pIusdPjLgN6pKSAVlePtWI,1591
torch/include/caffe2/operators/roi_align_rotated_gradient_op.h,sha256=CBjLNu79vRMq6-EkntJxwrGtOuUH7nav1H3FLDoGwWA,1369
torch/include/caffe2/operators/roi_align_rotated_op.h,sha256=hBIK6UI_TwAagU7oOndvmLQ-7tqMHBx8Ylh_-7CJWdM,1533
torch/include/caffe2/operators/roi_pool_op.h,sha256=ELU8L30FCZRJezToy9v6oWtO_RE8qb74AIXCAEliQKk,2503
torch/include/caffe2/operators/rowmul_op.h,sha256=7MOiezrCRZGdquDpiI6fCQcMEVedHcMfAfvqSDAczLU,1947
torch/include/caffe2/operators/rsqrt_op.h,sha256=ebcpt4wyW2xYEjXDP8WvRjeTQEWWEAbahex50NN6IW8,729
torch/include/caffe2/operators/scale_blobs_op.h,sha256=cQkEBRSuVuVhse8AZQ-QwsIkRo-jzcccM27LsP3YfIw,1458
torch/include/caffe2/operators/scale_op.h,sha256=IgnJ067J5O6GZOmF-73fr05tZDddMMTC-45ha0LVfVI,1011
torch/include/caffe2/operators/segment_reduction_op.h,sha256=kXmVKj_hFXRP2KRJXcWpfRECAER3uPUL4_I0OPbcF_A,70723
torch/include/caffe2/operators/selu_op.h,sha256=5tbbAFhGl-BEFmRkjyNLXGo7gzWTktkoMS8IPi_0jIs,1545
torch/include/caffe2/operators/sequence_ops.h,sha256=MVQ5y_df-j7LS7n0DhT62xffK6vlK70m2uGCS6EAOrU,8264
torch/include/caffe2/operators/shape_op.h,sha256=YLHAz7oayKysuOihIet6M9nGhQzM02cDhU38Z9DO2R0,1638
torch/include/caffe2/operators/sigmoid_op.h,sha256=uIxpCWlkSxR4UBbLokPsOvGeBdGDH75gUnu06n_WgVw,639
torch/include/caffe2/operators/sin_op.h,sha256=hTV7rDM22q6gdZ9FlJ8EiD5dliMwgiWY2MZQzdaQpjg,705
torch/include/caffe2/operators/sinh_op.h,sha256=CJi0ulOOXUq09KsOShs8cNpGsAy5VvLhBjNBM5RY2EU,711
torch/include/caffe2/operators/sinusoid_position_encoding_op.h,sha256=yrSyeNLNSC_FU31rX7PFYuFtEmoqol71vOmBm2Vtqds,2801
torch/include/caffe2/operators/slice_op.h,sha256=hdM_VwfICBpxaXe_G32QT9EAJIOvm2lCnssPmX7g9pQ,10069
torch/include/caffe2/operators/softmax_op.h,sha256=ZITRz8W6Zijoo_aefLN5LEjAK9hvpUc7tl2DeBECMtg,1174
torch/include/caffe2/operators/softmax_utils.h,sha256=1T7ZmAFQwB4PSaxR-QCvPw9Bu0pZCQNUFD8ohaz8t5Q,447
torch/include/caffe2/operators/softmax_with_loss_op.h,sha256=TwX8aMTWQMqPZGr-JOgwKCV1ESFITFM1_k5LO_Ofzos,2883
torch/include/caffe2/operators/softplus_op.h,sha256=VgIQ-pS2KDm0A4Zv1KsBaoTQMqJIyAEN-e3zpiUu9fM,781
torch/include/caffe2/operators/softsign_op.h,sha256=fgt4NHd6NJi6hR1CRN9naygrPgsGROd0wFGDoDRCY7c,675
torch/include/caffe2/operators/space_batch_op.h,sha256=nqXIQO8VObqLcjafqKq5GiUAHLdTIhy7U3qVwA9e3jM,6848
torch/include/caffe2/operators/sparse_dropout_with_replacement_op.h,sha256=b3epdMuk5RiolF_aF1aCHg2sEsT0_S69Iy4-4rBFTlw,1122
torch/include/caffe2/operators/sparse_normalize_op.h,sha256=ocqBQkqmmR_UDnMiymcKMJBfEZp6j5BGYhY9ZHg-pG4,835
torch/include/caffe2/operators/sparse_to_dense_mask_op.h,sha256=_6tiJzecsJtnAPX5St1Ko4n983TZQjBX8hlu8WJlo0w,9784
torch/include/caffe2/operators/sparse_to_dense_op.h,sha256=uALTwAuinNNKHA2YLjWmuo5_lIjwi5UFFhbQozNUST4,3977
torch/include/caffe2/operators/spatial_batch_norm_op.h,sha256=5L8tqkE-8dkKOSpRRKCSPxe1zCQdCIM4ias79q43ZuA,14880
torch/include/caffe2/operators/spatial_softmax_with_loss_op.h,sha256=2e3_wSLxbt5eVX5_iQUBPWlDL5AJZb4XdN8JVifQRT8,2182
torch/include/caffe2/operators/sqr_op.h,sha256=4Nap6v7TxKvfzQZibYaNKano27-0WiG09unrmA1xq7Q,431
torch/include/caffe2/operators/sqrt_op.h,sha256=vft3oU5nlc0-GwE96AGVUVOLzb108BFq3RFMojVXvz0,448
torch/include/caffe2/operators/square_root_divide_op.h,sha256=ynGMz0gt4QgxiOrOdFgjFKnXEgv-1TNV5PLuc-EuJr8,1803
torch/include/caffe2/operators/stats_put_ops.h,sha256=pNB9OjqR6LSTg9MDjwHWR-XobOkwQj_yzOxZ4oohvvk,2757
torch/include/caffe2/operators/stop_gradient.h,sha256=OpDHiXE-ujDHPxhztygXyIc8irqe2wqubS2J0j0KxL0,548
torch/include/caffe2/operators/string_ops.h,sha256=YLpCc5SRmJU33cpiuAYbyYvsBrBP9WhSsJjDF4tRDLI,2066
torch/include/caffe2/operators/stump_func_op.h,sha256=j5Hhsh1x6sA_4uzHBOUcSRZkqHlu1xUzXB3SWLj8JQs,2112
torch/include/caffe2/operators/summarize_op.h,sha256=Wl3t3m23FeUW9sTvtChfHk_IkVRJ2hLouyteukrV4Do,1875
torch/include/caffe2/operators/swish_op.h,sha256=iWI75UOKOaG-LEBDyzZUY8YUh5APBOdK0zUUXHG8D04,772
torch/include/caffe2/operators/tan_op.h,sha256=ZRLkKsWBeQJ3F1_jixPrxW_kWr3cpITdeerj7X7wfyM,705
torch/include/caffe2/operators/tanh_op.h,sha256=qyNF8QAgWGS6RsnUnoFeh-M54HEZD9D7micQ2-IG934,723
torch/include/caffe2/operators/tensor_protos_db_input.h,sha256=pdsWnGy6Bqkg3-41qHrcuwIENAqvB_PVWG8cCM9cCr8,3633
torch/include/caffe2/operators/text_file_reader_utils.h,sha256=NeZHw1anm4m4ru8pw-Kvuz1rxEIdbw1AVmJ-wWB7zlg,2907
torch/include/caffe2/operators/thresholded_relu_op.h,sha256=gxc7Jwsc8GB6LX-U5f7Ypyzd49wGxj9G4axtkpnONOg,1137
torch/include/caffe2/operators/tile_op.h,sha256=bCFKIyfyCpUFB0u27rgTN9Gg6RoipOQdrU-TIffBTN8,8740
torch/include/caffe2/operators/top_k.h,sha256=HjY3fLzOZmMqLjcKQQxygb_D4_pihTnJE6MWRdkG-5w,1061
torch/include/caffe2/operators/transpose_op.h,sha256=9IwQ9atmmyrHw8paKMSSbKlictklNgsR-_xjJPyxIxM,2043
torch/include/caffe2/operators/tt_linear_op.h,sha256=V5pSKAAvoPa5-D_pOcK2spT8b2pqNGILWjZwwC5HZSg,6448
torch/include/caffe2/operators/unique_ops.h,sha256=LprdSkDFBbNBjgNDoQl3vcV2uhn_68EyWsSA_Dixhjw,1666
torch/include/caffe2/operators/upsample_op.h,sha256=O1fM1YeMD8-PC6-oe4RlTWDb3xN3JYSAHNteeJDxO-w,2246
torch/include/caffe2/operators/utility_ops.h,sha256=NAHw31O6uXTZLaWS8MeXFoTKxJGymfXwhHBh7F1KO8E,47892
torch/include/caffe2/operators/variable_length_sequence_padding.h,sha256=DNQoutw2EPpb9QM7kOw_axqJrFJ3c6viIoNOM3UVDcw,1378
torch/include/caffe2/operators/weighted_multi_sampling_op.h,sha256=fAD-rhHU3MvdByY4samG786a0c2tyi6Bwp6MD2B116M,602
torch/include/caffe2/operators/weighted_sample_op.h,sha256=AbVJ6Hh1YolBNTPP5Ul2fsQdUzdyK5h7sbeDKNYJgNo,739
torch/include/caffe2/operators/while_op.h,sha256=HCOya2tpf9sxGGP6947Q6U_Q5xc6BMmK5wxckndRYpA,1961
torch/include/caffe2/operators/zero_gradient_op.h,sha256=BCs1fbE4BkbMdtFWAWnASDdMzbDtTjF6lwhi0-Eu6Kg,347
torch/include/caffe2/opt/annotations.h,sha256=rcRDVx1TtR0mRIwf6c5Jp6IYG10KftQFvPDMk0vgpY8,2142
torch/include/caffe2/opt/backend_cutting.h,sha256=eMqLJrlyvWYwIcCKs0_WjcFGLfuKzzgQQHQmTWN13wM,522
torch/include/caffe2/opt/backend_transformer_base.h,sha256=ftVeE4hD3TaFmKICb81wk9viM5Q_7NZmhH8pY9O9O9Y,2921
torch/include/caffe2/opt/bound_shape_inferencer.h,sha256=34bpxRBpm2hRvWTB5lu9MYEGDkMqraClbRPd1O4qG1I,4065
torch/include/caffe2/opt/converter.h,sha256=L3XKOTvqa5jn8YihYmQ9jNZGGfIUrMUxOjQLmujwum8,2917
torch/include/caffe2/opt/device.h,sha256=b2FpbxM6-0NTnraHGAwRjnoN6RbGQ_LBwXU1qIPgNz8,443
torch/include/caffe2/opt/distributed.h,sha256=XI4omnF8T-wRulERcWxRfyMVYnfZ6DwPI1MFMuBe9ts,1130
torch/include/caffe2/opt/fusion.h,sha256=q1oGR2OJtkn_DoG1ui0HKEJXupT76ndl3X0kc7L4iU4,4142
torch/include/caffe2/opt/mobile.h,sha256=C4GEI1njezcM2jcZY5GUsMyF26Jg-FbGC_rDWabsXrc,390
torch/include/caffe2/opt/onnx_convert.h,sha256=0KQNA57lSTLfokufeB85SohYCxMT2vwazmz7x1DAnsc,1283
torch/include/caffe2/opt/onnxifi_op.h,sha256=oDC2jb1mQiP-r6tmbGbKK5eI6RAJga1wKmd0yJ0xgHE,13943
torch/include/caffe2/opt/onnxifi_transformer.h,sha256=8zRZTU_5ce4n1x7BtllggM0l4wN2IkF5fo_IG_Ux1UM,4370
torch/include/caffe2/opt/optimize_ideep.h,sha256=KX7HOjZjJT_XGG8WYCbGFztf635QgCZ-aXj_4LsDMMs,352
torch/include/caffe2/opt/optimizer.h,sha256=TZfDIv6rh1fnvajcm0MbJCTsjtQDkiGjpT9KvaoEle4,404
torch/include/caffe2/opt/passes.h,sha256=E8ObdI3bnWVt_3CB_eNU9e2zLCXz4Gw8Uypfw-d4N4Y,2644
torch/include/caffe2/opt/shape_info.h,sha256=aV_6JYwjNtkWTbf64bTKqRsR7EiOBDgkSVDyxfLDxNs,2944
torch/include/caffe2/opt/tvm_transformer.h,sha256=J92UIPY_2vh_ZKribCddUiEhvOUKRC3hzRdkeB9xLWM,2596
torch/include/caffe2/perfkernels/adagrad.h,sha256=9Gkn8Yq9IS05Hiif7AOzyY4Z1qEh0h38CVZjoZZUfBQ,11683
torch/include/caffe2/perfkernels/common.h,sha256=RsdvCsZTzX9D93VS_ZdneUorztc_7-kJuHY2ZqxjvD0,3579
torch/include/caffe2/perfkernels/cvtsh_ss_bugfix.h,sha256=oooj66tBrgeXmzg6umch7ojOydmSzAgBJKPJQtLb9J0,1951
torch/include/caffe2/perfkernels/embedding_lookup.h,sha256=ps3uHi0_dexF-5MCcwPN7tQZSJ5O0E4ulQKevI_cyho,1539
torch/include/caffe2/perfkernels/embedding_lookup_idx.h,sha256=arOA-D1k4lySzINt1Gdl4rVgL9XDe9TVJ3Ef_EbAQOQ,1669
torch/include/caffe2/perfkernels/fused_8bit_rowwise_embedding_lookup.h,sha256=OuD1WxMH_yvT6uzYheRvjKfV3c_bwTy3K1jvnJ1T4Jo,1690
torch/include/caffe2/perfkernels/fused_8bit_rowwise_embedding_lookup_idx.h,sha256=9nGlf8vQe6Q767FBMT5mJ0r4ps-RfojKqL6yBZ99UKc,1805
torch/include/caffe2/perfkernels/math.h,sha256=owMqZmbBbymoQWVoLHyTkdd886QNRMOKqlmNH0wHEY4,1103
torch/include/caffe2/perfkernels/typed_axpy.h,sha256=OeithBYAjk2N2x0p_oXs-24Y2aLYL7HDTFa3rzDbZJU,355
torch/include/caffe2/predictor/InferenceGraph.h,sha256=wjHXBagOG4mXPuRhvq0Z68fQabBA4BqKTd7cSQgJbL0,789
torch/include/caffe2/predictor/ThreadLocalPtr.h,sha256=45Bx-xSCfWRYm2Chc3lzNtFFPwm45fG2yJEQ3-gUqAU,4111
torch/include/caffe2/predictor/predictor.h,sha256=6iLtrL4Td3VgsR7cLrniHw3uyIKlwfP4pHdkcvQtpnI,1811
torch/include/caffe2/predictor/predictor_config.h,sha256=r_vu0JEdjQrbeyE5AjNoket7XAeeFulC8mQ_uazmV10,1938
torch/include/caffe2/predictor/predictor_utils.h,sha256=6YKnc-BbhUsDZ2-z86PHy1r452u9ejmxxYqHKNrsq8A,805
torch/include/caffe2/predictor/transforms.h,sha256=qPVm6gKRGjwEBUnXoEBpgIu27kmr-yZLSxWjDay1aik,384
torch/include/caffe2/proto/caffe2.pb.h,sha256=J3iUMTXRMw3snMogGjb-ECslhELJ4Dw3BvXRRDq375g,311200
torch/include/caffe2/proto/caffe2_legacy.pb.h,sha256=sS4cVG53lIlK6c3LhViH2W3eCAKyYAaQlbR4uAmqQ0s,16876
torch/include/caffe2/proto/caffe2_pb.h,sha256=KUq1ykR7EPB91gkaJ72tAHX81c8D-2PzoVAeFdbxCWE,4463
torch/include/caffe2/proto/hsm.pb.h,sha256=s63WnC4VB_SyX1fxHbs4klsqlJG4XsJGkHB4PVWB4jY,40891
torch/include/caffe2/proto/metanet.pb.h,sha256=1y1TIo7FA02Nwk3SdNASLhygmjBmrCWp4VYXOQBZrao,72213
torch/include/caffe2/proto/predictor_consts.pb.h,sha256=F56CvQ0KmG86bDt8UvoLQGNr16LCuW16xQIRARKf8_U,60545
torch/include/caffe2/proto/prof_dag.pb.h,sha256=gy-nB7cGIGmQY-V9pC6l7pYHRNqPo67d7e5g7d-AWE4,60122
torch/include/caffe2/proto/torch.pb.h,sha256=pa6meF5T8TEDqpPtdie2irCR0Tm5SdjO1lLvQx3Le60,96757
torch/include/caffe2/proto/torch_pb.h,sha256=DZ2j_GsS8JGZ8qmFJycD5HpqcPNE5UkPnZluFyLffbE,206
torch/include/caffe2/python/dlpack.h,sha256=uY4WUMJ3H3oXHEYl3RGDyc3jrY8yEZK93ElTGbOHANI,4157
torch/include/caffe2/python/pybind_state.h,sha256=gfSq7Sbwmq-Q7RKNv1nd9BM9zen3rgUS7UXsorOt3-s,15943
torch/include/caffe2/python/pybind_state_dlpack.h,sha256=av9Xb4QYC3wLG90rU6JvOAFVOqwZhN70kZlHPQC3J3c,4160
torch/include/caffe2/python/pybind_state_registry.h,sha256=wk1oWNVO8Z_YYMU1f9pHQye7Ab1g4AtiLA06_pD65XQ,1021
torch/include/caffe2/queue/blobs_queue.h,sha256=0Becj-U8cUl-FRCn1mtWmI-JxWiSNed5OOoxp2DzaB8,1780
torch/include/caffe2/queue/blobs_queue_db.h,sha256=2vHTIS2vlk3JqxJDmU2malxeXhYyBSOimwhEhBFxIvA,3289
torch/include/caffe2/queue/queue_ops.h,sha256=-udpoDixFwBFvP4u54X1-VAof-FQ0A9CpL_9NlN1rrQ,8282
torch/include/caffe2/queue/rebatching_queue.h,sha256=Ij4xHePSB29f2xAxkpERHyqOx9O1K9kzUVwuGNQWKS8,1382
torch/include/caffe2/queue/rebatching_queue_ops.h,sha256=rUSYAp8FmiD9tPwtDpPgTHgIwXAqpLy02eAbbPHV-AA,2490
torch/include/caffe2/serialize/file_adapter.h,sha256=8BXFSkjlR7aYt_TIzMHHolgcOPHLfl-DAn4GXwL-5Bw,687
torch/include/caffe2/serialize/inline_container.h,sha256=XjmNjQxAli5ByuysaKrxnPoCdrdenO8w-i-ZGXYtIAg,6110
torch/include/caffe2/serialize/istream_adapter.h,sha256=S9l_wZ-XxzgYNZ348IiMC_p7f1y50j0SMy4aExLPM44,661
torch/include/caffe2/serialize/read_adapter_interface.h,sha256=gK844W1c1PEZJjmp2NGQhRSCVelb76HNm-8ALO8tmno,557
torch/include/caffe2/sgd/adadelta_op.h,sha256=Epr0PaxHMeEd8rgd1r1eEgfbYtwRit-wqjOtp1EkcA0,5852
torch/include/caffe2/sgd/adagrad_op.h,sha256=L24DWmAUg-SRc62-jKgQ0ElPn0YiAwSNlCBLLj8Vd08,10234
torch/include/caffe2/sgd/adam_op.h,sha256=LD3tvy58X_ARnh7EDdUO6tIeHhpYj8e9XnCk_6RcSAM,22014
torch/include/caffe2/sgd/clip_tensor_op.h,sha256=6EWQ2RIaI1j2UbmR38e5WFEM_kuMfaWO-Gg2Rh_cutU,1853
torch/include/caffe2/sgd/fp16_momentum_sgd_op.h,sha256=iwPXxcycm5ynGVusnBpCxw-6bKK9Z47tEgH3V1U_YfY,2292
torch/include/caffe2/sgd/fp32_momentum_sgd_op.h,sha256=6KXOLiq06cI23bRH0jD_2wCO5CJUiS3wBJQ4SZXliw0,2015
torch/include/caffe2/sgd/ftrl_op.h,sha256=3BpZtCzJwQLQwMy-afn2oeZmDr8tIUgVEmJWkHIJCNk,2219
torch/include/caffe2/sgd/gftrl_op.h,sha256=R7wkZifu15wgqUqnHjlswchF5Qm_EiyHq9eogu3Z1-I,1028
torch/include/caffe2/sgd/iter_op.h,sha256=TSdKwLf3Q7-xQyBLhAS2cgmjEfJGKd857vOrwLNMo7Y,3325
torch/include/caffe2/sgd/lars_op.h,sha256=kgKPzCrjF9FbtU1NfCgyHX65K_ft632FCw38u6TBIZw,2479
torch/include/caffe2/sgd/learning_rate_adaption_op.h,sha256=kNsRKxWqV-TSXOmWkkJDX2dgquIbcWCj5etf4BJF5gE,1974
torch/include/caffe2/sgd/learning_rate_functors.h,sha256=1CohNsNhFzXomnN5TM43F8OU5mo7X7S3alLEEZz9inc,14104
torch/include/caffe2/sgd/learning_rate_op.h,sha256=cZSVJzB69YpwiV5Y8IjL7z1C716IycrZaETF6oaS9H0,11878
torch/include/caffe2/sgd/momentum_sgd_op.h,sha256=2SJq04Rdcj1nO4u_JQXbDgDGZpwTp9_JogYc_yFjS5A,6000
torch/include/caffe2/sgd/rmsprop_op.h,sha256=Ap_INdw53dGjUSbCtHAZnhQrPnYWIEFCzu7KfKBSuho,1980
torch/include/caffe2/sgd/wngrad_op.h,sha256=9F2nyUU67SxZ17RIaqKC1yXAxrOQ7xMzxDdvU2E-zbk,7272
torch/include/caffe2/sgd/yellowfin_op.h,sha256=_oHDbvja_ZLnnvjIvVH4NvnmO3JJna5TpCbBmelODk8,10284
torch/include/caffe2/transforms/common_subexpression_elimination.h,sha256=CA1RbGUxHaYOXHek2OVlk-O1IKoGRDTwAjZsOaB1z1g,1601
torch/include/caffe2/transforms/conv_to_nnpack_transform.h,sha256=ROuhuopYHOarqgWkxNFnB-HPu8ng1zc91Y8r1nFkUy0,679
torch/include/caffe2/transforms/pattern_net_transform.h,sha256=8C8EgxK2OmULD_-SqVrQNgqR-0DD0HGtzFmFHGcPaKQ,4395
torch/include/caffe2/transforms/single_op_transform.h,sha256=-_tyTo6paiy70cXM1QrxXFoRvb_TEKEJtJkPQ4umZNI,1022
torch/include/caffe2/utils/bench_utils.h,sha256=AshL_kf-4kf3XNeLJe9w_WIsOGDX7qzstYv2WIxGZuU,855
torch/include/caffe2/utils/cast.h,sha256=uRHGLrkfm7tDJAL5cIKcGTs-avZXJRdLXHocApCmeHk,1110
torch/include/caffe2/utils/cblas.h,sha256=sLqWCt3Tj9ZxDWJN6WmPjZhO43P_lCJJX6xykH8Am2A,34183
torch/include/caffe2/utils/conversions.h,sha256=tY-qrOQuTdtvoFWoBW_CJSr6_CKbyYrpM7fwucs1C3k,874
torch/include/caffe2/utils/cpu_neon.h,sha256=DB9ZQAUxa1tquy3VWlAM5SlMH4gMcp-8VuRsFy51w8Y,1578
torch/include/caffe2/utils/cpuid.h,sha256=j5bGxzjU6AT0mWwWov-a7PxMrrlMVyE6G3A5VbKeFCQ,2468
torch/include/caffe2/utils/eigen_utils.h,sha256=UhVp14OuHNuTD85fyFdtu3nX61DdOPmkKalhqLdV8sA,6041
torch/include/caffe2/utils/filler.h,sha256=7oSbyzKNZ7beWsw50guJ22WxgjEXwMheRfqrngjqTt4,3911
torch/include/caffe2/utils/fixed_divisor.h,sha256=H_miC1DKRMtIHHeUYYut-tRn5IPM-kOKtEbHgoip3jY,3583
torch/include/caffe2/utils/map_utils.h,sha256=OT0IX_dVpbpezI8VXA59zH6fHZNlkXBrfjdDjpGXafs,635
torch/include/caffe2/utils/math-detail.h,sha256=syF3Me_tdUyMK0EzKiZUBppmU63SQMqM03JvsH3hgxg,1916
torch/include/caffe2/utils/math.h,sha256=EOvTaq3LCpYUgWJncwVxdUmILoMZZbuPpqogzuhSpBk,15240
torch/include/caffe2/utils/math/broadcast.h,sha256=6CuYKl5-ziYBaWwU2xrBcr1LKQ0vxwzmgj4qsXWC3co,495
torch/include/caffe2/utils/math/elementwise.h,sha256=DpcPjOtfwO7IfzwPjll13tUXCvE5wxAFHdO70gj1fu4,6364
torch/include/caffe2/utils/math/half_utils.h,sha256=lVYMPxeQ5lDpXZluJQbj3PdO0l6uld10a3SJjE_VXBc,1329
torch/include/caffe2/utils/math/reduce.h,sha256=VxZYfvVCpLVUUg8bFhBf5hxix8gNQStBL2jq6Z92usg,2394
torch/include/caffe2/utils/math/transpose.h,sha256=Nz0l5EB3XRn_JABs4k3j2jRYQAqmyNmWo0BgEYfIyy4,788
torch/include/caffe2/utils/math/utils.h,sha256=Utw2y9qJV1sHPDrHc3PX5SfQa86-6DSY0nh74G3bBVs,4613
torch/include/caffe2/utils/murmur_hash3.h,sha256=qm-gsR07Hi8LXAuKOP04rwBov27ay_NePaXsTeEAWes,909
torch/include/caffe2/utils/proto_convert.h,sha256=xeZD_UFRRRGux0bBjmypI55cOnSCjaO6MqdavXytkLc,263
torch/include/caffe2/utils/proto_utils.h,sha256=0hc02j-OBHVf4hCFjly-CnD7r8Gb9Ua-1pJGO-E_-nk,12212
torch/include/caffe2/utils/proto_wrap.h,sha256=-YWrxmW80w_tOmlZkreElZARXkDIP5Xug1OR-Xcz7LI,381
torch/include/caffe2/utils/signal_handler.h,sha256=GfBnr6Dgz1q4eZxfQXEjuxomKC3ZP_EzPvuB3eZrpwY,1154
torch/include/caffe2/utils/simple_queue.h,sha256=TfJBKZHxw_kNY8GdRv2zWY-H52FOGXBH_kTjXcq8Mto,2605
torch/include/caffe2/utils/smart_tensor_printer.h,sha256=JjuCxXm7WSB81cUNvISRsMtxjYuZIke1Sdzm1Dmfqzo,1403
torch/include/caffe2/utils/string_utils.h,sha256=bna3GH6_f5-8kxGXB2sAQOLrtgqUWOC3FVgcuXpGrNE,1134
torch/include/caffe2/utils/threadpool/ThreadPool.h,sha256=ASQ9Grr3kP1VJaDa5k6ndQFyFe0dCWfCmghB1oeM0-4,1816
torch/include/caffe2/utils/threadpool/ThreadPoolCommon.h,sha256=8_Lz4HwyXS76A50J5RiyuBMZwaqgsEl5hJZ0z6UhoLQ,753
torch/include/caffe2/utils/threadpool/ThreadPoolMobile.h,sha256=WOBmGqe6c98mHD2x0N49dBagdqskpHd-WLHNSa39elQ,944
torch/include/caffe2/utils/threadpool/WorkersPool.h,sha256=ALk1Pe80cRXSvX_0lCCwcn9OAX8yrv9ZEom2FcE6Mqw,11554
torch/include/caffe2/utils/threadpool/pthreadpool.h,sha256=W-kvDMN5bSEqtwR6gW52H176BZNLCTgZVqnupTWFa2Y,3833
torch/include/caffe2/utils/zmq_helper.h,sha256=kGz7YI1e51gfgYH--7L_Qt8OLVT0a4mW1-yStfANNLc,3019
torch/include/caffe2/video/optical_flow.h,sha256=KJbAkebKlu4sTE44TwVmk9ZXWr9BDOXTxC4HfajbbxI,1306
torch/include/caffe2/video/video_decoder.h,sha256=5vqmtbZr1JPOlGXRfnUGzR1_i3ER07VCIKxesb3EXTw,13852
torch/include/caffe2/video/video_input_op.h,sha256=BO8O1p1fEqoFym1ZYqo3771ArK1PH3GAFUsWFrlks64,34806
torch/include/caffe2/video/video_io.h,sha256=IfoK5DUEH6K23ehWk90ROt3CDQ4BVwo48U7bI56T-zE,1298
torch/include/pybind11/attr.h,sha256=-CFdi0YAsnqADvUfbTOvCJ57pi82Gm2kySXl7J4wKFg,19031
torch/include/pybind11/buffer_info.h,sha256=ZzzextvuEJAQrO17Yy2gG0GljcvvnZ90hwI42aRJK8g,4326
torch/include/pybind11/cast.h,sha256=EBrZ8qt5z6NlC1OJes833I2g1xAGoQ-KHP6aokwpBgI,89483
torch/include/pybind11/chrono.h,sha256=LbTevQzFguNzy_M61ZdcTxhtIiLhsLouflyNq6kH84c,6616
torch/include/pybind11/common.h,sha256=ATg9Bt1pwF8qnNuI086fprM4CUTdrZdk_g2HXE1Sf6A,120
torch/include/pybind11/complex.h,sha256=zCwwTAckZlDSVZgNZ9tOFtXGw8Zb9IhPKG_BDUyIwRA,2001
torch/include/pybind11/detail/class.h,sha256=GHEGC82s8PSBZUJKfRqlBhD5vGd5kT4OdZeWHjCeFRk,24766
torch/include/pybind11/detail/common.h,sha256=aE4oMC3TrawaKIZn7jK_jtnrruN3PAzTCLF5eT71O4Y,37068
torch/include/pybind11/detail/descr.h,sha256=FPCr37VuIk23IkESGSHChqUSeWP6jyEd4RfWLvQk1vE,3566
torch/include/pybind11/detail/init.h,sha256=tg22okv_jjqzdv9wd9V5SSF1goeAES4TLa2r-_KHOvo,16322
torch/include/pybind11/detail/internals.h,sha256=ivZO6bUlBn3XyzyOm0mlPLmRtN7tsGryYdR0nznEguA,13634
torch/include/pybind11/detail/typeid.h,sha256=ssb4m9GwBtiVgXZU8ZY07xbuK036p6U6hXLddH8WN6c,1429
torch/include/pybind11/eigen.h,sha256=laSWBmlhioRl0L-TmJNe-AbpmbIoxlPDx5BidTW_4OM,29043
torch/include/pybind11/embed.h,sha256=tEx_21E9fmcDxaX1J6durItlv2hSxDlneyd5kfcMA7g,7731
torch/include/pybind11/eval.h,sha256=_aw_DVHM1tO6uaPThOvfa7GMKWqPanFknrvxUZQxCIo,3865
torch/include/pybind11/functional.h,sha256=141dORepvZo96lE2esAx--yue7X8V90LB6ZGYn28itk,2944
torch/include/pybind11/iostream.h,sha256=c3-b_zxUcpMp-Dp_NKk4XXQqETOYaxrwRuBM7B83Wg4,5395
torch/include/pybind11/numpy.h,sha256=J8TFPjX-B3fusnryw14I_pNABIx5lonJgeLhS8FoQdc,65937
torch/include/pybind11/operators.h,sha256=xk1NdnJCEL_BvfQDCQWvB_S0uDbtEUOD5Gjxio2Fo20,8749
torch/include/pybind11/options.h,sha256=rnv5QBoRNBqUv59A20XOODS8tV0wGHtMFCbsp6CJbnk,2031
torch/include/pybind11/pybind11.h,sha256=NQKTWPkQKQjnyPkFvX8GUoLtTI68mAy4h07ViDBaTx0,93567
torch/include/pybind11/pytypes.h,sha256=IRehXZeTS-LJwJcEoiMV4BB6YwTb4dgGklK1LWEXIno,56698
torch/include/pybind11/stl.h,sha256=WRDRqPo4SQso1NqjZDE1NfGEw-DwTT80xxVnPQB3Hno,14029
torch/include/pybind11/stl_bind.h,sha256=zyLLfeF54ukoLmUkoVIAIQFfcKswNEcPUDKkpcedZXM,21607
torch/include/torch/csrc/CudaIPCTypes.h,sha256=TV2OvhxqieAcqTg6zGgaMfBZjMULOWLsODDqhM2bAmw,3424
torch/include/torch/csrc/DataLoader.h,sha256=lAsoYHYwWV0DcT-P6Ziz3k6sEkTsvacld_p6u2UtbrU,94
torch/include/torch/csrc/Device.h,sha256=P6_g7WHYVQrnIvITXhHOqezaDRvVXQD3Q5L8RsJ08ww,480
torch/include/torch/csrc/Dtype.h,sha256=tP_tyLU92u35IzzO9otRfNJE3UDDDdZy4SldgARCAII,768
torch/include/torch/csrc/DynamicTypes.h,sha256=f9tKcqFJl2kBDNzGX7j6EB3UW2GuPFsxQWD8HsNIR9E,882
torch/include/torch/csrc/Exceptions.h,sha256=5YGAgvsvdKXR4bCmfnv76CAjHxj0lyQAxSryO5fwPsk,11181
torch/include/torch/csrc/Generator.h,sha256=54lpFgBa6EgwLIVB0ytIa1usbJyZokCbkKinrkK4W4E,678
torch/include/torch/csrc/Layout.h,sha256=3ZThAcV71TlJS3b7neWIu3c3sxKbOZJDQDRkpv3_Nr8,461
torch/include/torch/csrc/MemoryFormat.h,sha256=q7Uw4UlVcCO9xvWPi7RRB1bl-j26E8hbSlLnnO_VNfU,547
torch/include/torch/csrc/Module.h,sha256=wN2tjWdCnIQxJrMDwGu9qvP8r3Q-33eB2HkCvydBUUo,101
torch/include/torch/csrc/PtrWrapper.h,sha256=ftt6K3L8uM6o89-OFjU8C37MUnckqpEuXFy75yixc7c,347
torch/include/torch/csrc/PythonTypes.h,sha256=EKC16ZfnJtZCUTMVhRHejcApO0teKjuoGaL_LYziN-U,296
torch/include/torch/csrc/QScheme.h,sha256=Anql_jMkmhbzqptTo216slex9FmTYm29hpr4_teJEnw,482
torch/include/torch/csrc/Size.h,sha256=HC7GaeUlD--37hWnGTyVRAmlzvzjAt9Kpj9rFiKWbck,370
torch/include/torch/csrc/Storage.h,sha256=6E_vTzKRqo3VI_Sg3OOBTrexS6gyP4QpNL9TV3Eu2Dw,2544
torch/include/torch/csrc/StorageDefs.h,sha256=quLu4UrB_PqKhqq88BkOZskL8F07fGZZp4j_f4G4GJY,73
torch/include/torch/csrc/THP.h,sha256=DlYiQuqu-esw5U2kYQW5DNsKthHuY8W0BlPJE1tzi7E,1343
torch/include/torch/csrc/THP_export.h,sha256=0AAue69m6miNCOw9TE6To-G3EU-YFagMGQ3IM5x-_Wc,341
torch/include/torch/csrc/TypeInfo.h,sha256=ELy98ihypY76ViLiKmnrn0I3Lm6v0Xkko6hHzVdLl-M,498
torch/include/torch/csrc/Types.h,sha256=8QNEbZzW6B2SAfolfghV0NahD3-xwJ-wUz1Y32mbgog,290
torch/include/torch/csrc/WindowsTorchApiMacro.h,sha256=R-H1M4RdeaQKIzFJWGsl3LaC5f_siUdFPHpgFKnScTs,190
torch/include/torch/csrc/api/include/torch/all.h,sha256=liSFw0_pqxWJ1ECqS_2C5k8R2kl3sfW3UObUPWti4lM,263
torch/include/torch/csrc/api/include/torch/arg.h,sha256=vi0WL2AuIVgRC_FZeb_rvWBicVsUekOvUuPqJdR1dYI,1219
torch/include/torch/csrc/api/include/torch/autograd.h,sha256=dYRz1ZgLi-AHsuDUzCiCHOyqD1uDYRoSyRoHfjUSItY,105
torch/include/torch/csrc/api/include/torch/cuda.h,sha256=db1vWaO24wceM1fg88P0ilDfN7qEUSZKHuo-4eECu9g,431
torch/include/torch/csrc/api/include/torch/data.h,sha256=Kmhs111GxZwH-79BzETOAFrXVdXa-biOfDVy9H0PSvc,301
torch/include/torch/csrc/api/include/torch/data/dataloader.h,sha256=YDWO1P-HEVi3z4FcazUHKXrjLWAGSQBI8xgtCHTFRp4,2010
torch/include/torch/csrc/api/include/torch/data/dataloader/base.h,sha256=UqdmkePkOhQNTbxDCCXNaeZbeAYrXtkzwNDoA-EPB08,8412
torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h,sha256=InXYjewQ89j0220AqydrH_hNmcFDWuRdRQd-YuzSVHk,2341
torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h,sha256=gUAloMj3UoDegDvfQ5uZT6od1heB_Wqm_FS2VEvdBkc,2728
torch/include/torch/csrc/api/include/torch/data/dataloader_options.h,sha256=11favVQYGSXABmtx2OtLHIXDbV1tE_zEbcWnxJN3B8o,2207
torch/include/torch/csrc/api/include/torch/data/datasets.h,sha256=Q3_zlkvTD7BOp09o0vpPhI9r_1ABb_6n5CunXPS8ZCU,289
torch/include/torch/csrc/api/include/torch/data/datasets/base.h,sha256=chIqAiLtNtFPTi90Z-nCPtPrLkKO72Y7YVlFIrdKSNk,3254
torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h,sha256=DE_pMo7uTMhDpUvpEgXqQE4d0qvzmaBx3Lni6dXYB-E,18991
torch/include/torch/csrc/api/include/torch/data/datasets/map.h,sha256=oZlnRYIYtOC0Eoq1sE2WKxFw4WS-goApcYdkBQTaFJU,4102
torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h,sha256=lFpifxoT_hx91eB-sgwuyUb_hF6hga5NEZdJIU0maMI,1241
torch/include/torch/csrc/api/include/torch/data/datasets/shared.h,sha256=3sWsIjprurANfiujsA-nXYSaUjDb4J-6SC1fqfeAWtY,2640
torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h,sha256=ycqbxgEL63-4eaA8RBFfyep_gt0u6Z7ArUTUZwAFGg0,2295
torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h,sha256=iwc95QjuG-qua9WDXr-UVvlJcL5yxaon8VjSS3_Gj9E,954
torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h,sha256=Ezx7V5a0DzbKFYaB-qONu5KE4CrMC6MddrluCXNkEzA,2626
torch/include/torch/csrc/api/include/torch/data/detail/queue.h,sha256=sC_Z5JwLzcudmuDj2s5U9f39dkcdjkwfElWje6sSYyw,2486
torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h,sha256=2J559kRYE9WzS4oyjK1v8qF40g07IrPdEdux-VL-a7U,4469
torch/include/torch/csrc/api/include/torch/data/example.h,sha256=ia52jQZyMWDgcMwQWILP7fPLdDqnpN83mSRuzHQ35YE,1308
torch/include/torch/csrc/api/include/torch/data/iterator.h,sha256=t8SAdu4X1vu_enCxEeryLfO8pXdPrrzETAFsHWJkjFA,5283
torch/include/torch/csrc/api/include/torch/data/samplers.h,sha256=ILkgiKXJN6RyR0Fjmmv8E8LuRBIoBH_P6lUmenbf8Ho,318
torch/include/torch/csrc/api/include/torch/data/samplers/base.h,sha256=wU8Ayi_nkKrLESsnSN7t2wqkVxoJ8tPFwoemhs2Uz2g,1244
torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h,sha256=DmgFBt9i1djclYlnURV2MxxrJBxvgKVUTUILa09BGvQ,414
torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h,sha256=zMbmEQOXN8qBV-vpmg1uef5vzSQb2ctRlvEJwrw6gd0,3739
torch/include/torch/csrc/api/include/torch/data/samplers/random.h,sha256=Bb6_c-QTOI8eKQex91Hr5k-Yb4rgW8yuVQKyKwgjn6g,1545
torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h,sha256=2IEB-0zPluMkbgyL5Irq4FTLq1x3QnE7SGXK3rEs1iA,1268
torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h,sha256=Xziths-YjwF_GZ48kRC2woI-Mq3T5FnPaqb_rN1Dd7A,707
torch/include/torch/csrc/api/include/torch/data/samplers/stream.h,sha256=pBZN9_xTdYaqwxjxIb4UtXaWkX_3Mbz1kZoyKmbPk8s,2047
torch/include/torch/csrc/api/include/torch/data/transforms.h,sha256=TvF9SJpmwR6rCQJvCvO4T5egw3AsiQsCCoOXs_0UTrA,222
torch/include/torch/csrc/api/include/torch/data/transforms/base.h,sha256=ASbt1QfCjbbr1Y0UlhbxJMe2fB-aRUiQknSgnhSc52E,1629
torch/include/torch/csrc/api/include/torch/data/transforms/collate.h,sha256=WmDBU1eC-t1-s0j8FQioTkdq1mwXoO_bqpB1lQo3rQI,1113
torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h,sha256=Kv3GGowexuP96q9NMdRD8VOPvAWq1V3vkc_c_SiUdjM,1709
torch/include/torch/csrc/api/include/torch/data/transforms/stack.h,sha256=-PJSj11bWeg0mja_pATfo56qqrMcrHxvKO_qEZXaRQY,1424
torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h,sha256=4tljCroOatQ7agYVu_p7e6TYzLWoFhF1VvcStqw29z0,2464
torch/include/torch/csrc/api/include/torch/data/worker_exception.h,sha256=5wwUj8XNAgIBfepKIFOVzjtZ1_jf4TNXXXe-MUOIVxA,1088
torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h,sha256=-oOToqFOTz2JEZV8P7LWc1S3DJjWfk8qW70NjohcZPE,12504
torch/include/torch/csrc/api/include/torch/detail/static.h,sha256=pUIWtGGNH8v1WLnEULDUp3nUXrEn5mlgr2VEUCvP2nQ,2200
torch/include/torch/csrc/api/include/torch/enum.h,sha256=zUpoaW219wMcWo48e83NQ8iOMwXHlarQVG-e6INN5BI,5667
torch/include/torch/csrc/api/include/torch/expanding_array.h,sha256=W04pYRSsMWaSi19cXmoPBpX8z37w7nfUPs_b1imTnWs,3201
torch/include/torch/csrc/api/include/torch/jit.h,sha256=DiYrPRSNasCd5ffDJmTtkWh3Vg8iuZ2ttNF115a_bbQ,938
torch/include/torch/csrc/api/include/torch/nn.h,sha256=Iah9Blyam2lcEKX85589p1KxupDmsbwkigjMErXYSUI,251
torch/include/torch/csrc/api/include/torch/nn/cloneable.h,sha256=NMbZ2mPuTaAWiz0YOPXlYfAAG41Ew0e5E52szs82WpQ,3835
torch/include/torch/csrc/api/include/torch/nn/functional.h,sha256=LSICMNwvAWhtWTEjxU71-HsSVyyj2ZuzBCexmMfZzpA,642
torch/include/torch/csrc/api/include/torch/nn/functional/activation.h,sha256=kDeztpUpVzhwNnwuYQrZ1CkcaCTQ4p_c1r3Qe5Y-yxg,9784
torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h,sha256=2e4zNOgUBN45cNQGi2Dv1cbdkmmDdYxCAJv3ZW7M0Y4,1462
torch/include/torch/csrc/api/include/torch/nn/functional/conv.h,sha256=JoTC3ctwSQicNvtSL3UVtLoTf1lc8fPAPL7RUWu07Rc,4595
torch/include/torch/csrc/api/include/torch/nn/functional/distance.h,sha256=SNSyGEGMf4VGE3qwG0fCjsWwQz68eLHzIVVaiVfKrEY,1506
torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h,sha256=ltAPmQCVcRVaA2F7cSJEOgdxcZcXSTBzI4nKYAZXjrc,3274
torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h,sha256=bPAaqKcze2Lb_0TXAJBC5ZpvNYV9IdugD3c8ffqbsG8,5154
torch/include/torch/csrc/api/include/torch/nn/functional/fold.h,sha256=Np9LdNxQYehSkL4MIrTVZ-GCQakZC70kNgUROLfdDCY,1878
torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h,sha256=5IfYSJ5xPWp_rayJIW0jKqxSIeVX_6hPPdrgStj7qFc,889
torch/include/torch/csrc/api/include/torch/nn/functional/linear.h,sha256=9VXOyc85z6FIgTs8ZpEL00WlOxX2xqbG2ridzfi5b5A,804
torch/include/torch/csrc/api/include/torch/nn/functional/loss.h,sha256=jh2iVtWgXSJgrCG6_ZL45UnRj6qY2iB0ca_P7NC7HbU,19104
torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h,sha256=MC6VfECTmUFNz8Ni4nDKen5o3vUbHdmkydXZPM5lXic,3809
torch/include/torch/csrc/api/include/torch/nn/functional/padding.h,sha256=FDi_llMTkfcIM0SMNUg7ZA4xC6HxR7npRk-qUuiPHvE,3712
torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h,sha256=MG4FgA7TF16ylNHyah_c8bAUzvnDdTvM698urdUgjq0,542
torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h,sha256=nQZGa9UTixTOWh7-E4Lps658XlU8Jgdig__t6W-kMl4,21248
torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h,sha256=lYT4JEKKXIxM93fVgfdzqq4eEJEEleRyMK2BBiS-uNg,5008
torch/include/torch/csrc/api/include/torch/nn/functional/vision.h,sha256=iWYMhZWX5XQ41XWgRs5VxxxzbG6hEJKuWDAFy-v9MMY,2908
torch/include/torch/csrc/api/include/torch/nn/init.h,sha256=4cY86bku1Kctie_teiWinqoL32Azi2fxicmzq8WkL5Y,5446
torch/include/torch/csrc/api/include/torch/nn/module.h,sha256=niANn8059VEiRqteWo5A-Ol7V_r6Wmt9JGmZlMZpxok,25273
torch/include/torch/csrc/api/include/torch/nn/modules.h,sha256=cYNIEBMohesTRJg4VXI-MneiTLEfqHokWrEmapqJi_M,907
torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h,sha256=_ty5mMP3OLJE1OuamEL_8iKnYm-fqM4C9Dx87hPalgs,570
torch/include/torch/csrc/api/include/torch/nn/modules/activation.h,sha256=plCWNQ3iO43Sfu86UjXqANUsTOn-CLn2O3CH1AWVRLc,15910
torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h,sha256=_sqcgJOyCXQ_miAdEkg6BXJnkxp376w7adrTfVjpOl8,8056
torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h,sha256=cSytLzBrlbN4HOZpc3216rTSEb4VHbvSRTiW2nnVdeI,20398
torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h,sha256=XH1WHmSJiRvII-jGDSpYg48P22egp0a_dOvRiHQRRl0,3407
torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h,sha256=7UfuSLxHLhXdFRl319myH1g4S52OOhLkmrFEhKYQevU,8509
torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h,sha256=jP2_prmtfszJyPSF-CSo09C6cetYfXwY6Rc3YC1F23w,3245
torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h,sha256=WZsgjNSAu3b3wQNeWFiowLFguQQr8GOqBp1SkyRSEzk,13625
torch/include/torch/csrc/api/include/torch/nn/modules/conv.h,sha256=mUiNeKKALJXnu964jN2dEdZyVC2iGz6Gxz0H7YFbThs,10283
torch/include/torch/csrc/api/include/torch/nn/modules/distance.h,sha256=zbh0qIGUELzoFib7U3ZeQGis0-RJCNd383oZ2PozVWY,2135
torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h,sha256=-GFhAiBMYfs6eP_qbYTGJ29a3CB2mrUy8gRqBss7TuQ,5198
torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h,sha256=SXIJHcw8s5YJFRLt7_YsjNZH3Tw8grbnOGLgcsIF9jQ,4087
torch/include/torch/csrc/api/include/torch/nn/modules/fold.h,sha256=RPHMWSbX87WK3mGEK7Nvk5zP4o2BTmuW4bCYiRVoPpU,2201
torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h,sha256=0atJHhm4cu2kAso35eZCD5M0tB9cXxrj00BGHdSkFqM,2250
torch/include/torch/csrc/api/include/torch/nn/modules/linear.h,sha256=e1Z5q-551-HdfrySRKHXJm81IqTUTAmZ6790LudGB50,4333
torch/include/torch/csrc/api/include/torch/nn/modules/loss.h,sha256=unqjmu0JeRjG3EF5X1iOI62bWz7o93mciTlV0_67NTc,20065
torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h,sha256=J0aguX0RDRGagv6AHwaSClD2dQQPCw81G85X82_cxNE,4492
torch/include/torch/csrc/api/include/torch/nn/modules/padding.h,sha256=8o-wilMOuvdoa67WGICZ_Q-c-ZHfP3SApss8IE-Xw2Y,9097
torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h,sha256=f7d3zVf3BGPWBw58Z6HLoLDYQgNoAnJ09TrheZ5zwak,1151
torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h,sha256=liTWzJ1DiMPOAL9vfZ1QntSrO0nPJi36VtSdrR26izs,19884
torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h,sha256=F0xvxVS_7LzvnKdcH9JJ0m8nJpNA0viMLH_Mnj5PJE8,7245
torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h,sha256=RpsMzhp-2Xi1_F21U34_gk3C1861s7Mtsosj5DPWrTo,1237
torch/include/torch/csrc/api/include/torch/nn/options.h,sha256=MfOFnE9HCqGcT8fxvs-04J_9S39RgeINhFQtC4v2JKk,509
torch/include/torch/csrc/api/include/torch/nn/options/activation.h,sha256=bgAT6mDSsElIx7KAVcjEGsDigYr4JpasZqJl2ASHhV4,9865
torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h,sha256=Bt7QQ5ItLbrE8JNULWrWT0J2CtNSl5_bWWLmi044098,2061
torch/include/torch/csrc/api/include/torch/nn/options/common.h,sha256=728Wiv9bqDKcmeum4wi8ojXTY8S7PBxQ1LpvOUP_m90,710
torch/include/torch/csrc/api/include/torch/nn/options/conv.h,sha256=u8LZAP2lIz1nGVlQmuh6M_XPsmbF7dpnkC_6L8svoBM,11040
torch/include/torch/csrc/api/include/torch/nn/options/distance.h,sha256=tsE9X6dV95ULn-zFQpmwnsGMc5A0Y7RFiv4Q3HPUKsg,1117
torch/include/torch/csrc/api/include/torch/nn/options/dropout.h,sha256=F2YJzbye6E_UgD2k7YZBJirvkCGaOTVSiQNEwlytIrI,1787
torch/include/torch/csrc/api/include/torch/nn/options/embedding.h,sha256=9eX8rVSJ7RCjJ-Q0YLUIyb3svLJrpw2JIIBnCeO2VjY,8274
torch/include/torch/csrc/api/include/torch/nn/options/fold.h,sha256=4jSQsrAiDbwiCpm4FvTL3whB0YVA13kJryiml8k_0_I,2173
torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h,sha256=TzMmGIkOnN55cIRKEtXxRTmWJ5IYFbMObrgBXgJ4mkc,1505
torch/include/torch/csrc/api/include/torch/nn/options/linear.h,sha256=U9RQcxwXNzrBUE7DwAANXqJhWDKmweNcqo_Il4DP2KY,1528
torch/include/torch/csrc/api/include/torch/nn/options/loss.h,sha256=YuIYLkD9yYz7W-JuO7LY9EqCM-c41720WhVzoV_QKQ0,13766
torch/include/torch/csrc/api/include/torch/nn/options/normalization.h,sha256=OcEx_CPTPA517bhHUv8UgH2p-muJZ0d8RX0Lqh5xEig,4312
torch/include/torch/csrc/api/include/torch/nn/options/padding.h,sha256=bX82xeZUjWtC7w0BkZBIo4Hwe3b739mMIsQNY2p8RgM,4559
torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h,sha256=zf6QXwPMDzBGLpnerf0G3HmfAbiFw5ooFtzkVWDVBd4,556
torch/include/torch/csrc/api/include/torch/nn/options/pooling.h,sha256=DqR8k-WNDrdBzJkdWa3vGLxD_yt-29HKhyv_IDI791I,9324
torch/include/torch/csrc/api/include/torch/nn/options/rnn.h,sha256=IxAc6pRs20m1HUjbmkjEJPxHFLCziQs3sqKuQrCpRtY,2641
torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h,sha256=pfhf7Zv0PkdwHXUTch5aphLYFcilOhAOlQBypE5UVxo,2612
torch/include/torch/csrc/api/include/torch/nn/options/vision.h,sha256=HRoj_BE2YmCjNOx9GUxbg3pUQVMqoeKrn6dgGEU3VaU,874
torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h,sha256=pkdjlGt8bWJ-56zMOZSnjQpUcwV9-PKQD8tKPM911Iw,10737
torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h,sha256=xxnX5ieC6RiLP_BrWToPZQS5-8Kd-FMkxu8K5EjJtb8,3196
torch/include/torch/csrc/api/include/torch/nn/pimpl.h,sha256=FWqre6K8eDJPn0saqReSsdVedubUmpLS1SmCW3oX1C0,6657
torch/include/torch/csrc/api/include/torch/nn/utils.h,sha256=6mGcAOCOGbbpcihrZ9kgn7rdnUYLUcd5_PksO7aPFCw,99
torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h,sha256=80LqfHSanGYH24Bh6sKnSptPT0o4GXjs1cJyZ8xBwrM,3013
torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h,sha256=81jqVEZ_uXoVfX9z37niLgln2zpC2WF9y0h3hZ1dpHM,2427
torch/include/torch/csrc/api/include/torch/optim.h,sha256=ljwZnlgW4WvUD2r7A131PsYJCL8-3JO5eKvAzdqUB1Y,205
torch/include/torch/csrc/api/include/torch/optim/adagrad.h,sha256=cuwG5Q4WfhTFsxwPOjRkA6FWTSA-4dLS5o245sDB8fI,1333
torch/include/torch/csrc/api/include/torch/optim/adam.h,sha256=vNr6owfrao1fYAP61M-1pxYRSNRJmnO9eXtYA3UlydA,1637
torch/include/torch/csrc/api/include/torch/optim/lbfgs.h,sha256=NXFO-eklwIca5jE8d5DF_mUueq7x3znyoH6vavAPrO0,2192
torch/include/torch/csrc/api/include/torch/optim/optimizer.h,sha256=5sUV91xuJGA1ottSTNmYCCS3-ykgjeIF5pophGc8e7I,3963
torch/include/torch/csrc/api/include/torch/optim/rmsprop.h,sha256=2AGNdqkcd7J6w8wh21X7opiITG55RoESoTk6H4_FzS4,1624
torch/include/torch/csrc/api/include/torch/optim/serialize.h,sha256=uOmx0BFi8RZdEXBvzx7Rc9H8mDD6EKnTx_s0F2wDePU,2224
torch/include/torch/csrc/api/include/torch/optim/sgd.h,sha256=MPe56D_8DdNkrWyQd9TeYQekVd6RrZiMUirXr7ZBf3Q,1280
torch/include/torch/csrc/api/include/torch/ordered_dict.h,sha256=_X1QHOk6Y8LsqF-pLnmbiEXk_OWa0X8Y9Eb6Bem7aog,15430
torch/include/torch/csrc/api/include/torch/python.h,sha256=w5wppnTzvnkH2sB9yofctdvu0Twx7Wte7pfepksIs4I,9790
torch/include/torch/csrc/api/include/torch/serialize.h,sha256=oJcBOPtaR-t7mAYP3LpdPHSPDtW3Ue4pAnBegQdckm0,5110
torch/include/torch/csrc/api/include/torch/serialize/archive.h,sha256=IM8xj82javqyrkZJGayTWjrst7_FKKllzucRwSMrlos,101
torch/include/torch/csrc/api/include/torch/serialize/input-archive.h,sha256=BivxG1192Kmoqt9PozOx_k3V1u8l0oKC2gaN7eeFRfU,3732
torch/include/torch/csrc/api/include/torch/serialize/output-archive.h,sha256=NN_L-QoVtLp2vJ_QiUL_pRzRqMintu-raU2j064TW3E,2399
torch/include/torch/csrc/api/include/torch/serialize/tensor.h,sha256=gEYAbqPp6R4AH1G7o4OuS-zVPY8osmtguUFfSSUt7jI,432
torch/include/torch/csrc/api/include/torch/torch.h,sha256=VRdG_p1q4Y2gB0LtTmL_C4EpbrPQuvFVa-21l1wc-VU,154
torch/include/torch/csrc/api/include/torch/types.h,sha256=0DTyx0rxbfJcyxJoGD2pZJhhZf6gnVShxZGOmu0UxIU,903
torch/include/torch/csrc/api/include/torch/utils.h,sha256=KxuJDZVY_jeMPJHg0GsO_oAx-zRixxQrB7ArJD6jkq8,732
torch/include/torch/csrc/autograd/VariableTypeUtils.h,sha256=Txk0rKFSrm2rFAmM63pzg3O0U4QTtMnWnQkRXW_Q6Cs,4583
torch/include/torch/csrc/autograd/anomaly_mode.h,sha256=2-OgBmxYf9kwthiw1iNmNybJXs76-2HOQ6K2Dfx-Tbs,434
torch/include/torch/csrc/autograd/autograd.h,sha256=Ilx_K-3Kq-tmUtHx-DA8tduFip5PgspSj3QF977wp3M,734
torch/include/torch/csrc/autograd/cpp_hook.h,sha256=-gGLQPf5eUsCofR2Z7Jdd8wKGRxbN5Evk29pcK_lVAw,506
torch/include/torch/csrc/autograd/custom_function.h,sha256=AY6RourM_POIxcSEADugkyT6jUNgLqyxCSX0B_a7Z0Q,11030
torch/include/torch/csrc/autograd/edge.h,sha256=d6HJSpiGxc7fGyO-44KjZJaQDu6OWj7Bkl-YIj9yQfU,1637
torch/include/torch/csrc/autograd/engine.h,sha256=3pjw5yYn8SkA-9CQUY2L4Qgd_Mj2hl3orV_fe68AsmE,9599
torch/include/torch/csrc/autograd/function.h,sha256=X65OfHs65oUarPzctHEdKILXttMwKx_g5GBaqyXuCW0,15828
torch/include/torch/csrc/autograd/function_hook.h,sha256=GZlBvCXdhe5_WZig22W37x_1HyUA_6BRhVXZ7vs_sLE,641
torch/include/torch/csrc/autograd/functions/accumulate_grad.h,sha256=F-kB5ugZt1zIihmCzGc6GEojpBKHYnTa0kR2dBJC0WE,393
torch/include/torch/csrc/autograd/functions/basic_ops.h,sha256=eH4KJvdyDQ3C2KHHF9Gxhnl8RuoUkqCBrsr8Cch-qlk,1762
torch/include/torch/csrc/autograd/functions/comm.h,sha256=RHjmHwUmNouWzQwZsvA9lykbiez83wwpCeiYyW6GlP8,1265
torch/include/torch/csrc/autograd/functions/pybind.h,sha256=Us2LYIcKUAm8ZLX7PZ9XeIX9GWqzgTbY2W3QHBzCquE,314
torch/include/torch/csrc/autograd/functions/tensor.h,sha256=M_Gq79I0Iw3obQBnlnVLp2d6cif4sVoI0UWssEX-Tuw,1232
torch/include/torch/csrc/autograd/functions/utils.h,sha256=yiE7E0BA_f3HldCJ9ioQKe4-q0CDA6EJIbAmGo33viI,2263
torch/include/torch/csrc/autograd/generated/Functions.h,sha256=yYJymX-u85ZTwweulT8Brb46i6l-Imvwu2p8FPZACts,174395
torch/include/torch/csrc/autograd/generated/RegistrationDeclarations.h,sha256=Xu_NaE4iAtKNuNhNs6CHhQ8gjb9lFith1Vdi2oQdaRo,175034
torch/include/torch/csrc/autograd/generated/VariableType.h,sha256=DzGsMtJfY8kP7ysAlqquirYJeOzGZjLwkg3y6Xvw3QU,2824
torch/include/torch/csrc/autograd/generated/python_functions.h,sha256=NZb5aywQZWzzoU36jRufbTaVPXENKixj4dj23C0CcfA,295
torch/include/torch/csrc/autograd/generated/python_nn_functions.h,sha256=vhdEL_idpL_GRctme-ag2e872KltcFsiwde6EjmDI6I,215
torch/include/torch/csrc/autograd/generated/python_nn_functions_dispatch.h,sha256=zNsQzmBRKt1x8MqMbbsxY6aM4yhgPsQQVNM8J0VjUoA,24194
torch/include/torch/csrc/autograd/generated/python_torch_functions_dispatch.h,sha256=l5pjLNlCr3707l_9YsA16xO4ztjdkXdsvF_z-VeJ5Xw,146528
torch/include/torch/csrc/autograd/generated/python_variable_methods_dispatch.h,sha256=fizmjAvg1qM3HK2IBNy3_Pklj69Fa4aNh4NClLbDUq4,63979
torch/include/torch/csrc/autograd/generated/variable_factories.h,sha256=9OJbpfXX1xON2zmSZWndnD6qZeEbula3zg6tj9px3jg,91416
torch/include/torch/csrc/autograd/grad_mode.h,sha256=NUSlOKt9cbFSXtHlVYFKEMai23xgo33gOsQxeXrXjY0,207
torch/include/torch/csrc/autograd/input_buffer.h,sha256=Qpdw2MCPMvdynEgfh1A0IBzxqVRS977k7jSjo0Urt_g,1399
torch/include/torch/csrc/autograd/input_metadata.h,sha256=xSVOwFHUKMPvfhZJWtIV-K43SS07CL7tzNSyd68cbYI,1508
torch/include/torch/csrc/autograd/profiler.h,sha256=Sl2gqPA2TxYvN9AYApsxkpvd-Zmn4dsg4gCVsduU-z4,6823
torch/include/torch/csrc/autograd/python_anomaly_mode.h,sha256=bilhgPwhas_uI6SFQGydQ_H_GUGmiWfmMzcZA9Vymh4,581
torch/include/torch/csrc/autograd/python_autograd.h,sha256=3zNr-xWA1ck3nlQIyf0Nifz07qWhZfCBBUF7M7yD7bI,388
torch/include/torch/csrc/autograd/python_cpp_function.h,sha256=9nMcaAjRVABfr_4dYw5Xe7zCL340_H2KDqjXuWyG-5k,2495
torch/include/torch/csrc/autograd/python_engine.h,sha256=u-RwdWEhC8MBEUCYy-P4S-hurTcUrqSNfnnr45nqoys,905
torch/include/torch/csrc/autograd/python_function.h,sha256=hodXizujyXFVFOhPGj8HC9HZhtkgczHHWgEOqU6vKtI,3691
torch/include/torch/csrc/autograd/python_hook.h,sha256=BqkozTkWom7ZF4uA6qebbFRO5WSDjd8Px_sJE5VCFzg,700
torch/include/torch/csrc/autograd/python_legacy_variable.h,sha256=d6qy6AbjEH47I2b9cljOOMFh_shyxHmcOze-i7FY2zI,299
torch/include/torch/csrc/autograd/python_variable.h,sha256=4wYw-lTZ3_SxoAb3fgz0h3FpQPPCtfZKcyToT9j9YBQ,1059
torch/include/torch/csrc/autograd/python_variable_indexing.h,sha256=foBNzEWfPtzRJufX1_YsqZn7VLYZX-A9F7nDlE4UI0o,313
torch/include/torch/csrc/autograd/record_function.h,sha256=6goJ7b3bx-PRtRrRAyVYcu2Z0aSh8NRT3_Phkq9Equk,4111
torch/include/torch/csrc/autograd/saved_variable.h,sha256=qKO51rByikf6FYwvkaw4SeRPBFTpK67CMiQiXbUiyN4,1826
torch/include/torch/csrc/autograd/symbolic.h,sha256=E5qYnNSGPDSSXvTRL56hMc5gBSVBdwGgj3MlXcxZoJE,327
torch/include/torch/csrc/autograd/utils/error_messages.h,sha256=merHHtD1r4etEDlwfFo5hnZZGmlqAR-IKmE7cYmajJ0,525
torch/include/torch/csrc/autograd/utils/python_arg_parsing.h,sha256=k4m825FY3VpiCzKPj3GSWLHn7UF1CJoYh7RCsWIRGtk,1817
torch/include/torch/csrc/autograd/utils/wrap_outputs.h,sha256=3WtImnXjPX42vtRR5rdvNwCbapsUwNPiye3kSiKfWic,6715
torch/include/torch/csrc/autograd/variable.h,sha256=QYU6oL2Dy0yBdlYNmaqnrKhcbXxoXRcIjVJZiIxLugo,19909
torch/include/torch/csrc/copy_utils.h,sha256=qVOC6vk1wG54_sGP9TMoN4frM6wCfn4ji875uNFCC_Q,2483
torch/include/torch/csrc/cuda/Event.h,sha256=GWWZLkl6d8nAFh7gmysiCDqVK0NhjtM-6Jpu0bHy4wM,429
torch/include/torch/csrc/cuda/Module.h,sha256=n9nGbYLG3hTMAtgk1ouq6LeK43E4pfjCWmvv-ziqzr8,503
torch/include/torch/csrc/cuda/Storage.h,sha256=VLVRBEjgKUZNGIBF2Tpu2tLtbmlFEqUIOQixiMFEG90,2104
torch/include/torch/csrc/cuda/Stream.h,sha256=fLWq6AZe7flZAUlEPn3V3gWBn8yTkKCI-QTh7kxH9rA,458
torch/include/torch/csrc/cuda/THCP.h,sha256=3d9DQp3qNyOzx14AVh3CamJg7ruiRi-ODjvYjeqL7MI,421
torch/include/torch/csrc/cuda/comm.h,sha256=nlZvA5kCyYR-_7tw6SJRabJ-SyWi9-hsTowKZBnUSpk,1019
torch/include/torch/csrc/cuda/device_set.h,sha256=fURKPxR2g35_x2Q1Zm_x0yrTTLef5162L-IUUKzfgDk,152
torch/include/torch/csrc/cuda/nccl.h,sha256=wyV_DD6WHmOyq0tgKcHZcPSvEL_kgzr4eQKezbC2bpA,2121
torch/include/torch/csrc/cuda/override_macros.h,sha256=qfe3X7vyG-sCAn9h5mS8T8iSlEoZTBMgTJVjT9caWIY,1887
torch/include/torch/csrc/cuda/python_comm.h,sha256=dNWu08szVpac9efXIdcFkC2ECqFocCw8BRTIUPALGCk,114
torch/include/torch/csrc/cuda/python_nccl.h,sha256=MchozWaWH0jFkRRpPb2oohHGo0FRBSWB1xLNckyTGG8,616
torch/include/torch/csrc/cuda/restore_macros.h,sha256=LoP4lbCwizcPTcdiMErWmD7B3vqcKhw4Ld2Ag24wYf4,820
torch/include/torch/csrc/cuda/serialization.h,sha256=61DsBvTJOB910IZWawfWMV2stwr65Nd1X8bUVUkGED4,420
torch/include/torch/csrc/cuda/undef_macros.h,sha256=v4TfQRnRNvtQQQR5mCcyL7Mn4vchPp5aKij23DZpXBc,932
torch/include/torch/csrc/cuda/utils.h,sha256=ix4qu4BOfrAapxSyMGxJDWGg31L76-R9eM2-zz7oNuE,775
torch/include/torch/csrc/jit/alias_info.h,sha256=w0yhZOQzd6D7l8rJzDcVEb4r8cPgM5IkCJai40J0L6w,149
torch/include/torch/csrc/jit/argument_spec.h,sha256=dGHLeWJiqTJMTVkra7DNG26RiA-XdZGdrWLq-dsOZ3A,15524
torch/include/torch/csrc/jit/attributes.h,sha256=8EVAv5ekry7ejNjX-CGeSs1k4yrXjkhU2HPd9wgSG5M,4348
torch/include/torch/csrc/jit/autodiff.h,sha256=okipfRNLjQBYWe0iUW3X6R2rM26fMEzfh7fV4GoQYTk,3984
torch/include/torch/csrc/jit/code_template.h,sha256=_R8UON_m8PnPwpBnRbMKgNkBiR4BZw7QlKRKqft4quM,6720
torch/include/torch/csrc/jit/constants.h,sha256=e0FRhSp2Nnqc5EQXKXkSuYuNsnQ49hZPE95-hNSE7GU,2021
torch/include/torch/csrc/jit/custom_operator.h,sha256=FSWUVFeSalOAqgdCQGBbRz-9X1y8cl9tib_I62FiUis,858
torch/include/torch/csrc/jit/exception_message.h,sha256=E6AQ6RgUEmShSxUmIvaSA3UojpXsHWuj1xfj3gykCzE,638
torch/include/torch/csrc/jit/export.h,sha256=ScV2lh9JV-hs76dN-lPSLQhkdBBUCD5RXvN81wlVbsg,2850
torch/include/torch/csrc/jit/function.h,sha256=JIrUxDrNQtMEMzj__cdPBHPhMn4BSxP0ZlTld1I8Iqw,4044
torch/include/torch/csrc/jit/graph_executor.h,sha256=jzObp2QOXXLR0IXyciC2VY4fS2BqKdBSdJ3OtVb6b6o,2664
torch/include/torch/csrc/jit/graph_executor_impl.h,sha256=nRXK5ELBH1gbU9fB8VzdlMhcP-XXhE4a0cEqhgJzfX4,2955
torch/include/torch/csrc/jit/graph_node_list.h,sha256=oz9aVDpsbb5QNBeKkSxZR_HGB6hw2_rUocI-soERpys,6367
torch/include/torch/csrc/jit/hooks_for_testing.h,sha256=gAtllMVknW-nEoWJ-VEE7dru0pSD3oxOvbSskgIU8as,657
torch/include/torch/csrc/jit/import.h,sha256=-900bGoz4VPhEZFUxfd8Vx2l8bFbXKPS0E7WPHkGi0s,2391
torch/include/torch/csrc/jit/import_export_helpers.h,sha256=AkAKNlNXoEd0uwK4NlgJ45OQ1yycbxppvdYL5Bkj_p4,709
torch/include/torch/csrc/jit/import_legacy.h,sha256=QmFQv34gpnqryUA6JOlW0Oj8gb9TsILfNTpl1WbDrrg,546
torch/include/torch/csrc/jit/import_source.h,sha256=cQ5JtmGeKVpmOXtz1J4DxnAGc430MxMeVVwWQh98XmQ,1244
torch/include/torch/csrc/jit/init.h,sha256=_M2l5u315IKW7GX4W9olYSPicQXaeHwH-dKZCO5axvI,151
torch/include/torch/csrc/jit/instruction.h,sha256=XbmrYE3HpBJ7zxTr27w5s-5t9DZus3w_ovhEovaHtP0,2496
torch/include/torch/csrc/jit/interned_strings_class.h,sha256=USZ5bx9mr0jBZaVWMDPDgi_FfOYbE6Y9Jz5r8wmL448,46
torch/include/torch/csrc/jit/interpreter.h,sha256=HER_Q1azy4Rjf_qzjnYyoNXewxkYCUg52zwXo0SBOH0,2621
torch/include/torch/csrc/jit/ir.h,sha256=o3Xl0uwgx8Q9qXrrVByjWOdb5D5zwwxA5TGJynhPrm8,40439
torch/include/torch/csrc/jit/ir_views.h,sha256=Xml3Ff40xgdyNFmcG-dolrSrYXhnFmH5m3f-6ICPZaA,4597
torch/include/torch/csrc/jit/irparser.h,sha256=pB2FtzqJisEAZmaWMaTcm9FF2LFcoEfSri9hRi_4afY,809
torch/include/torch/csrc/jit/jit_log.h,sha256=vtxOkuZjrRHoi-OAgxQldSrkR8i7mIDthPusJSqoIeI,3406
torch/include/torch/csrc/jit/named_value.h,sha256=wQqs0aULLKL-sWheiaBQDMNNGtxtRgUnZZE73aJWQww,2385
torch/include/torch/csrc/jit/netdef_converter.h,sha256=7Wg48qzspXYFsJy8d7G9Yj-W5lBl1Of_4QhqyE13nOw,1691
torch/include/torch/csrc/jit/node_hashing.h,sha256=5_ryT2vaj-gDojei-WojzlMoutw1g_9UaI1JFMrbwWA,267
torch/include/torch/csrc/jit/operator.h,sha256=Xcpf0Xsd9HRK1G1fHhdWaUXk1YSPseN2HCx9iEaYxu8,7574
torch/include/torch/csrc/jit/operator_options.h,sha256=MIdeHgKXa5FmhR6I7WbTRbvA5OtnJxviql_BZ5XPysM,189
torch/include/torch/csrc/jit/pass_manager.h,sha256=2R4Yl9HY-2K-2tULwWcd8zKqUv56Ww_2yraVj1fWthw,769
torch/include/torch/csrc/jit/passes/alias_analysis.h,sha256=_OoE98bpHhNzv2DKwF1niDddt2lHldKKFd_gnT2eQ4Y,7955
torch/include/torch/csrc/jit/passes/bailout_graph.h,sha256=aqJpeEpyY2KrP72pOexlsNeT3CRYXlUwn0NNrc818-Q,1126
torch/include/torch/csrc/jit/passes/batch_mm.h,sha256=r1-H7w51hD5IHubjLHqc6qPW4fxRI4iSWYEL040a4IU,160
torch/include/torch/csrc/jit/passes/canonicalize.h,sha256=GkpMlIE716suX5qF7tEGloXPQPUBLk_XpyxUgeOkYIE,313
torch/include/torch/csrc/jit/passes/canonicalize_ops.h,sha256=nhWg-U9r5Mqdc4It6PViCZOay33uLAWOqT_N2s-bUYc,174
torch/include/torch/csrc/jit/passes/clear_undefinedness.h,sha256=C4zalIxoyiQ1jDZNdNWlhpNsQiY-WwkDnxTlwBj60IA,886
torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h,sha256=6xYUfqPfW-oqdFDf_p_zEWaUvwYXn5Zs28JT3XgNz-s,191
torch/include/torch/csrc/jit/passes/constant_pooling.h,sha256=5MZzxsylT3M4qhdlvYesRyFXrrFm6I4ZaHHVzp8fx9M,174
torch/include/torch/csrc/jit/passes/constant_propagation.h,sha256=ENS1j9kCkReWHK4K9DH04TWNZc_VxkhzCOBOEEMBeQA,471
torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h,sha256=g8yGkQP7_IwKOUOMVib6WCOI2Mcsv6RCGc7G0ai5BiM,549
torch/include/torch/csrc/jit/passes/dead_code_elimination.h,sha256=NclKGfGulWQHfXyv-gXoF5kOwLtvSkflG7q5ELmpbjo,1530
torch/include/torch/csrc/jit/passes/decompose_ops.h,sha256=1U3XNRRgaoWeYGVAJQzbk_TUOImaVXhfJh7_4Jvz_8g,165
torch/include/torch/csrc/jit/passes/erase_number_types.h,sha256=SrkdZ-Y2jnPqlRvUOwuPLSP42sbhel_7tD9tJbHf5pQ,759
torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h,sha256=tBCv_B1Hbd9MJrVPyf8B1kMaK5MZDWRWkR4RmJnwAl8,1681
torch/include/torch/csrc/jit/passes/fuse_linear.h,sha256=J-RG36PtF2NSnXlIc6AfsKFSf_QOefOgQWdePRpFMVg,523
torch/include/torch/csrc/jit/passes/graph_fuser.h,sha256=ebFJ-i-NdWQjg2GSKiYMNqn3kfmezZ-lIhiMjdYOQJE,1104
torch/include/torch/csrc/jit/passes/guard_elimination.h,sha256=pyDFNeAMHR6LMMEc7CvfG0lDQ7FJU5KpONWuHTecbAE,387
torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h,sha256=Jafoe2zDCEUMJhlOrM78lapki6TwoeY43bCVasdfswQ,207
torch/include/torch/csrc/jit/passes/inline_fork_wait.h,sha256=vrjJx3rlUiuWiJqwjMdeqaUOTX8MJi6ONGUNK0-SBl0,545
torch/include/torch/csrc/jit/passes/inline_forked_closures.h,sha256=a-3RsOQZebohrc-JinvpRUGUJ1dc3uz4WzozuAAa6To,259
torch/include/torch/csrc/jit/passes/inliner.h,sha256=eEgBcMvAk0VXxi-f9Byo8kN0NffY9BXdGm2M9Q1pa40,196
torch/include/torch/csrc/jit/passes/inplace_check.h,sha256=sqm7huVZJleuTGUWvKqDu508K0CcMKl5XzivHxpYxyc,165
torch/include/torch/csrc/jit/passes/insert_guards.h,sha256=NYar7MeqyOk10ZWQt2cCl_IO1BciaFrMGM08bJuJ10U,375
torch/include/torch/csrc/jit/passes/lift_closures.h,sha256=DT_gG2jRU1ls8Ju3_zUPkHLg984DA6SEULH4GRrkCC4,274
torch/include/torch/csrc/jit/passes/liveness.h,sha256=H5Hx2K74qknSBekZtUNWEjHyCWUvzxCQcbI85cO7VnM,660
torch/include/torch/csrc/jit/passes/loop_unrolling.h,sha256=ndV7J-UPGgYAOW0fnckfwLZlnd3-xfOfuLvuxxqDOw0,164
torch/include/torch/csrc/jit/passes/lower_grad_of.h,sha256=TfgrwnyluflcP53L8m624LSYqjMnle5AonH4axZNIIk,345
torch/include/torch/csrc/jit/passes/lower_graph.h,sha256=Qbe4q6yy8wldUbGhs-FtEVGR1xKTVUWkxmgjn9I_4po,751
torch/include/torch/csrc/jit/passes/lower_tuples.h,sha256=iXaNJg1DU2G5duHMa7oXdFYhftuXWW4pmuEXrn-6e-U,663
torch/include/torch/csrc/jit/passes/onnx.h,sha256=kzt3UcFJutzxmwp32uhA11T1uVV2SqVORZSvYU3qwF8,601
torch/include/torch/csrc/jit/passes/peephole.h,sha256=KtEZXeE7YYcFMMWA6SI5nsJAMUlWopnCjGRcE1vcqg4,327
torch/include/torch/csrc/jit/passes/python_print.h,sha256=mh0TE1IKjB-PQ8rexMrdFDnEUXp5gW3sMrl70HFh6Vk,870
torch/include/torch/csrc/jit/passes/quantization.h,sha256=oQCnCpgrzCC_5XJnLhMTysmOWS0hi5N68aTj8fTSUgo,5661
torch/include/torch/csrc/jit/passes/quantization_patterns.h,sha256=lZJC8CHK8ntJNLLs_pHVuMORJTmp9m2AMZzKQzwAh0E,3163
torch/include/torch/csrc/jit/passes/remove_expands.h,sha256=ojB06WD_VXCQYKbihS2wAfJFkX-wSrY5yYIcOGFEjKs,172
torch/include/torch/csrc/jit/passes/remove_inplace_ops.h,sha256=r20YMSSxRx4cvesK2-PKIdl5CSLjOfNXVhGrdRqfV-k,230
torch/include/torch/csrc/jit/passes/requires_grad_analysis.h,sha256=KPpyu1a7g7YD4yYTkIn9bisbLWFELbmzcT6kCyGvYi8,260
torch/include/torch/csrc/jit/passes/shape_analysis.h,sha256=4Dzj6tmPL7D3U5tsLvH0l-AaXWiqCtSRFSZuuhR_g3k,318
torch/include/torch/csrc/jit/passes/specialize_autogradzero.h,sha256=74N3RFCVVm0o_v-OCGWN2SudMjLlp7GDh6xl1W9bqDc,530
torch/include/torch/csrc/jit/passes/subgraph_rewrite.h,sha256=-llGVO2tlmglEq7Qbo8fXm0lxtHlMsIjeSGBhVBuhwI,3722
torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h,sha256=_VnRxHNLr8WptxSvlagRXSUBsXJVkYEXdVRIKgLXFiY,609
torch/include/torch/csrc/jit/passes/utils/memory_dag.h,sha256=Q1kAr1wZlSvyWiRmhcEXtS6nfMrWmpm6Uvo_Ua0foAc,4222
torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h,sha256=rvHzmRYA4Lo9B2rqf7iLnTA14Uhz7TOFPDkXaGRWCPA,1044
torch/include/torch/csrc/jit/pickle.h,sha256=v6H0VR6MJQMBHgN7vF_xZE7jLTZ7ZLMJFUx59fOqF60,2624
torch/include/torch/csrc/jit/pickler.h,sha256=7gn_k74DTQzkPSWhyex3bERus70IQCv1mIReSvpcu1g,7352
torch/include/torch/csrc/jit/print_handler.h,sha256=cg2cbXvaGwglO5qaoFe8StEMTPvfobzinvivi5ehqbQ,340
torch/include/torch/csrc/jit/profiling_graph_executor_impl.h,sha256=61lpApsxj6qIJ5b30x8uLiAJlu86lAl_PXbaTKCptzs,728
torch/include/torch/csrc/jit/profiling_record.h,sha256=8rNlRUeVuY4kfGwzbxouQ9_eo3ACHLYx3dtsw5SHbws,1313
torch/include/torch/csrc/jit/pybind.h,sha256=Kt8mXewH8tDP6WTaezCN94v09dKAT3IBnrRTytpTCbI,3116
torch/include/torch/csrc/jit/pybind_utils.h,sha256=XoR8Ael5cbZOBrdphf6WDTf24skYQzGbcm4Vb8OVrE4,32359
torch/include/torch/csrc/jit/python_arg_flatten.h,sha256=wjEciAR5iJlCbJDLn3LLtR59QxO4MaYtgssXSiP-s40,3529
torch/include/torch/csrc/jit/python_ir.h,sha256=2UdBOK7nOAbuvoFFNJ9puNytpasWe7PlQVQpF1qcwsQ,1698
torch/include/torch/csrc/jit/python_tracer.h,sha256=RWqW4Z6k-rJG0Sb_vXuWYgYUuVF6pzIgtC1lk5FWfd8,896
torch/include/torch/csrc/jit/resource_guard.h,sha256=Pjz9gIeIPod_GIRC20vKqvWDaAWkupl59PvMm51Ox8o,429
torch/include/torch/csrc/jit/scope.h,sha256=ZKjoHwH2RbKQllR-xjADXlDvtJjg0Skgq7heVoNTXjY,3363
torch/include/torch/csrc/jit/script/builtin_functions.h,sha256=APdSTXXeUhAxwjJFVIkH7vh0XVvpOgAotf2Ge6rAL8w,278
torch/include/torch/csrc/jit/script/canonicalize_modified_loop.h,sha256=Qm78KPiY_g16XhfY95GWDMzmytKV6XNQIGPAJmYMe4E,326
torch/include/torch/csrc/jit/script/compilation_unit.h,sha256=sK1NpRn1rouyFPt2qYARNOwPU7njAIFG2JL5Q5chU6c,9225
torch/include/torch/csrc/jit/script/compiler.h,sha256=oRmhGZg5IQ66PlDM8uXGnHO6XXLrIGFQMPBSkhFtJQk,574
torch/include/torch/csrc/jit/script/concrete_module_type.h,sha256=1sTt_le4VYiuCWNGJL3CUb5VYEjASZvOUJQqktr1p20,8159
torch/include/torch/csrc/jit/script/convert_to_ssa.h,sha256=jfFaxmXfs1N6PiswD7pOOjUM_lsYo9R7xQ4hBA3t2GU,379
torch/include/torch/csrc/jit/script/edit_distance.h,sha256=_7QhryTW4BL32sKInKGu-3ahx8Ku3PBlpqN-yhgvZCQ,289
torch/include/torch/csrc/jit/script/error_report.h,sha256=YOqn7l2_7BtTg7Q2aN_uSeMIEE5hYEGCZJrLmF1hCbY,1498
torch/include/torch/csrc/jit/script/exit_transforms.h,sha256=TCxA3KAK5hAa2T17gWXBAL8iqWfTABBHN2P7lPzwDw4,229
torch/include/torch/csrc/jit/script/function_schema_parser.h,sha256=uw33JY1nAUO4k6GnDEvwVoM70o8NyTGX_KBDPFS8mWU,393
torch/include/torch/csrc/jit/script/init.h,sha256=_CZF69XimNw6NPJ0mjeHXw8zlygCPPKr_ootqsfnQuY,212
torch/include/torch/csrc/jit/script/inline_loop_condition.h,sha256=2MgZEO2a-MgG_vkWDOEBbVnn9W0_83MQPuiGJnyafow,363
torch/include/torch/csrc/jit/script/jit_exception.h,sha256=6QhhY8CjqlRx1fKv4wFe1rLM5-pZYCXcop739VaQhgw,270
torch/include/torch/csrc/jit/script/lexer.h,sha256=wOSXNfX3nRzWsOwjc7SfxbitiolTKgScUt51WYIVaCQ,17226
torch/include/torch/csrc/jit/script/logging.h,sha256=lQJhadlL-_afc4zMQGtPiwZys2b8DTdBIFipVfoIiuM,2557
torch/include/torch/csrc/jit/script/method.h,sha256=0rXMGIwMPhVZXecQ6Wk5NJmUgP7_oUP2aTZg4BzNovg,1368
torch/include/torch/csrc/jit/script/mini_environment.h,sha256=p-otrC2XGAGXR4jfzxBWqRGDgWAlzsVt2SrENJlHmh8,1325
torch/include/torch/csrc/jit/script/module.h,sha256=ozUNiKk1qfWG7Cgv48xZTnPMisZPSZUPHBy3Px3RDvk,17786
torch/include/torch/csrc/jit/script/module_python.h,sha256=7YvyVjSVrqqOJMiQtT2zrNOssAKtgAI-wiwN6dz2DYs,488
torch/include/torch/csrc/jit/script/object.h,sha256=7iudGv4tKWawjEXCvuf78BdUi0V1o5o53YY0EX8-C5M,3162
torch/include/torch/csrc/jit/script/parse_string_literal.h,sha256=N2xE2v-dUY4fQFSWCO46xGYQKxBZ-MftaiSgmSnOuus,2351
torch/include/torch/csrc/jit/script/parser.h,sha256=ScpdlZdh1S1mUeyeElagVp_gXw92QyPpFTWi_jmQgD0,725
torch/include/torch/csrc/jit/script/python_sugared_value.h,sha256=ENkiW2XXNhhAm2F14vG8K4yCwO2W4N8KuDiyzOw4fN0,6292
torch/include/torch/csrc/jit/script/python_tree_views.h,sha256=uu0DWoWG6PEWwiZofvxewttu7pQ4zD7uTSsOilUQJqM,196
torch/include/torch/csrc/jit/script/resolver.h,sha256=u5yrXbTwMsPl9t2moMU28AXIvvWeSVZ6ztBhnwbExus,2003
torch/include/torch/csrc/jit/script/schema_matching.h,sha256=LOAM7dlcE1TrnM17uEtEVvyw55DvWeHUvAFKHod4UrE,2080
torch/include/torch/csrc/jit/script/schema_type_parser.h,sha256=gcj0bmHnhA3tGirTgiuhN2RpPm1OIcnSV54qBOWOzMo,993
torch/include/torch/csrc/jit/script/script_type_parser.h,sha256=AvmBoVj0ZeSFVE9DBtEUSqfmbI-Kj-6qR3FLL2udi7M,1401
torch/include/torch/csrc/jit/script/strtod.h,sha256=Z1b5cnIunC0q-n6K9dYh9rHqeItWzhjfsS3v3FcK4iY,227
torch/include/torch/csrc/jit/script/sugared_value.h,sha256=L_Wmvs4Ab_a8MM8wFnuJFlrL5aDTzJ3_nnUWW3F73N0,21274
torch/include/torch/csrc/jit/script/tree.h,sha256=7-298sX7umtnOHaWL_YKeYV6ScRALTkq7tHLHAzHh7o,6702
torch/include/torch/csrc/jit/script/tree_views.h,sha256=kmFOwpm-5Elq0fzl17eEfbbCufhA19lV3A0L33evIIk,30178
torch/include/torch/csrc/jit/source_range.h,sha256=SoE86FKFNdN1At01IKfZBlgmm_7TDa4UnXQSi6dj8nk,5521
torch/include/torch/csrc/jit/source_range_serialization.h,sha256=0uSaC9HsNIWPaZEanfo0zbLyylUmFlsuyt5gHBqs1Ys,685
torch/include/torch/csrc/jit/source_range_serialization_impl.h,sha256=6bxwsFmf7nbKDKPH7m9hAnipDHcPHhJ4vsv8IVJqxQI,670
torch/include/torch/csrc/jit/subgraph_matcher.h,sha256=0RThOFXFXMU-nHVWJ84CUu93BHAAq9Dq0tjsTn35fh0,1988
torch/include/torch/csrc/jit/symbolic_script.h,sha256=5Pw28CNOpJm70o288oqX1tfYzMPhTS2LcccSbcwlXVI,601
torch/include/torch/csrc/jit/testing/file_check.h,sha256=9GSfup-BGq9t_n8Mekdx3E74_oXYQQ_-QXxqGFtaCZA,2267
torch/include/torch/csrc/jit/tracer.h,sha256=0Z4k4aRp4U7T0KYI93npcj_e8RS0mIWsa5Eq-xhuMsM,9787
torch/include/torch/csrc/jit/unpickler.h,sha256=YTo7rMGYPA4dB7RCEF-UrbvZLfkVNgesZf9iN1vuBE0,3459
torch/include/torch/csrc/jit/update_graph_executor_opt.h,sha256=aY12ftcrxf_7HUIaUk9NOC6VRMVozNIOFuUGA0atlL0,187
torch/include/torch/csrc/jit/vararg_functions.h,sha256=3l68gqMzCtc38c1qFC_Y5ttr_uJJostDe1PTEFQ5G1M,711
torch/include/torch/csrc/jit/variable_tensor_list.h,sha256=QFlToAFx8imJdLPtK212uUP13_PoQ5nwdelUOVmRvLI,545
torch/include/torch/csrc/onnx/init.h,sha256=LvPEZNWUTUQybEJBqdvQMK0mw7t6wV61tuoyybldDV4,158
torch/include/torch/csrc/onnx/onnx.h,sha256=ZBpF7zHzO08viTAD286ZGLdxW1Eu3iAMrBjdUoujVP8,276
torch/include/torch/csrc/python_dimname.h,sha256=hA6FHun6KK0XsU6VWBcAz5uZbgPelzbDCng1DAw8OIg,288
torch/include/torch/csrc/python_headers.h,sha256=rSVWIzrQqGkPN-sxetWAcfcFLzt5VYfx0jF1O0qa0iw,318
torch/include/torch/csrc/serialization.h,sha256=SuKNiPhMrPqab4FPrgy7fduUeHMA2kdv_OVsnjeQ62E,623
torch/include/torch/csrc/utils.h,sha256=O-fW3O6GR2YDCGOJXPJFF78DW8tnSHM8S1T4Poxll20,9172
torch/include/torch/csrc/utils/auto_gil.h,sha256=zm5_zibC6_feGBbTIQKzfS7aI1EIXner-RkeCfrk2Q4,619
torch/include/torch/csrc/utils/byte_order.h,sha256=PAiJHtJ9hFndxxC7As12fqSzcjhUj37sF6j0cgy3wSo,1918
torch/include/torch/csrc/utils/cuda_enabled.h,sha256=K9zWYzmMDkAfm6a4JZoD_MRp_XUOPE72TpdThf3ga3k,154
torch/include/torch/csrc/utils/cuda_lazy_init.h,sha256=o0KD82pBFtUFVDo_qTPAq9nwUpyzQM1s6XjBtuPBW00,974
torch/include/torch/csrc/utils/disallow_copy.h,sha256=LkZc_EqcX_UrXj_Pi2woqJLDYnF9Fi_dHAj5QHAqidE,103
torch/include/torch/csrc/utils/hash.h,sha256=QCrUB-SeTQxTo-Mmg7v10IdL1wS8rPfZI4XmIuBBTmg,4674
torch/include/torch/csrc/utils/init.h,sha256=zuhbx4d-OR-q_eON2gTWnke7iu1LzzhXSlgaQxnqO5Y,218
torch/include/torch/csrc/utils/invalid_arguments.h,sha256=dXhIUSgk21JztsfxdrsNWq40fQOVhPLmMWRQocy_q3M,302
torch/include/torch/csrc/utils/memory.h,sha256=JFK0N6kdz71OVydD1V8Rlx3WXPuJB329Emv-XzJp5ss,940
torch/include/torch/csrc/utils/numpy_stub.h,sha256=1m2vyb-8t2lQGtylJZrcH2cw8nHX_OEtyKk7Q_jGg34,399
torch/include/torch/csrc/utils/object_ptr.h,sha256=y3LCk8yYmusiAtq3pvJMZvdgHK_NqbFDVJHLCe3Xrt8,1329
torch/include/torch/csrc/utils/pybind.h,sha256=jjhuyxON3LV4xu6Xn9zC5OXntWBn-j3U5cgyobROSsQ,2387
torch/include/torch/csrc/utils/python_arg_parser.h,sha256=molZgMPQQP0jBWufief8nJp4VZb8IKSptVJr-Ixwq1o,17820
torch/include/torch/csrc/utils/python_compat.h,sha256=bT9gBN3Meuwtnb9ztg4t0JYP72cjqD0tXg-r3giMeec,2409
torch/include/torch/csrc/utils/python_numbers.h,sha256=IrtqRzRybbZPBU85hRojvwl5E_aXXuNxU9fjJjfduGw,4472
torch/include/torch/csrc/utils/python_scalars.h,sha256=0KTvKHsIZA25jOamxQuzrVlT2Mksk9WirqF04h6yE2Q,2578
torch/include/torch/csrc/utils/python_strings.h,sha256=y8aYY6slNRdMa6X6j7GGklpncnWaMnNC__kXOXMShEQ,2469
torch/include/torch/csrc/utils/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56
torch/include/torch/csrc/utils/python_tuples.h,sha256=g20UbLqqRyDeQd-tyVEhS7tKTVaRl1lqXGE5o7KDgFA,684
torch/include/torch/csrc/utils/six.h,sha256=MNSXPNN1gulZj--I49Yn4EKgcYmYFNCIwHe1EDot6c4,1608
torch/include/torch/csrc/utils/structseq.h,sha256=k63gIVGxe8W53nXi4coN3URXbeq8DC0Tno7Pu-mnsGc,270
torch/include/torch/csrc/utils/tensor_apply.h,sha256=W4rKidZIQMWa5UZ6BGtNpd3E6nw9HTCpBOcJKuviplM,395
torch/include/torch/csrc/utils/tensor_dtypes.h,sha256=YYJLixK3eJ0QwIOvNI7trArc8OH9x4vSIhuHvJB8yl4,165
torch/include/torch/csrc/utils/tensor_flatten.h,sha256=63x9wUaMyRV26eOKJrXwGy7M0ng3qTdkDjZvNAVE8-8,2500
torch/include/torch/csrc/utils/tensor_layouts.h,sha256=JmqWqT3uLaEW3YUwOr2C5A-olnNYUM75cgT_p19xCsg,107
torch/include/torch/csrc/utils/tensor_list.h,sha256=E-Bnoal7WEjIjWV-3CtXXr_FpYKaLyxEt4yCDwbssWA,196
torch/include/torch/csrc/utils/tensor_memoryformats.h,sha256=pzGDWNgwBBQpAY5ABj8_dqxbsTTyIqAj4KvVHf_yKqI,113
torch/include/torch/csrc/utils/tensor_new.h,sha256=qaf1cNhCrfjOhi2PMEUDRElA76RIbR8DU4FJIpdgRR0,1114
torch/include/torch/csrc/utils/tensor_numpy.h,sha256=iS1k2tUUiaY5jkVW4ca2NazIt5RZHSFsoVJOs_TG8t4,448
torch/include/torch/csrc/utils/tensor_qschemes.h,sha256=HsWQ2YhW5TFYJubL6G7IW7gJ3s9PASwT9jOvwLsQjrQ,186
torch/include/torch/csrc/utils/tensor_types.h,sha256=tE2dsz5SQGY9YHTXjNqlAA7Vy6gYuGuzFsNnT7KDtmI,436
torch/include/torch/csrc/utils/throughput_benchmark-inl.h,sha256=3BS9oFULJ0c7M4v4Iegdo0G3Fo7K4a6spY1qMthKYeQ,4397
torch/include/torch/csrc/utils/throughput_benchmark.h,sha256=yr9V-45sgv5neYT1FrO322kFLKCQAPxaGLyCEY_9Vo0,6395
torch/include/torch/csrc/utils/tuple_parser.h,sha256=F8RR6y5IdAcWEK4GtzwAjCEyfkJGWjasDB3-7OtiOsQ,687
torch/include/torch/csrc/utils/variadic.h,sha256=8P8YyW0BOcdqAKFl63_S-nCwhrD035wVKlwkb9i0NHY,4229
torch/include/torch/custom_class.h,sha256=6kZAgM2O-vsvUxMOS_vQkEds5jlSoCc3uQgAf1R7w7o,7440
torch/include/torch/extension.h,sha256=U2lS6iwjvKhbLwnVco4KOJuB8FlmXYoqV9mymY9-EiI,170
torch/include/torch/script.h,sha256=mLHtlK2ol3y3nCQzKKD0l586anqKm-PNtA8fw156F3c,305
torch/jit/__init__.py,sha256=k4p0_2hr4oDxga7zidrUtOuDk_WYxKPFAIUhCJ8_fSo,90857
torch/jit/__pycache__/__init__.cpython-38.pyc,,
torch/jit/__pycache__/_logging.cpython-38.pyc,,
torch/jit/__pycache__/_pickle.cpython-38.pyc,,
torch/jit/__pycache__/_recursive.cpython-38.pyc,,
torch/jit/__pycache__/annotations.cpython-38.pyc,,
torch/jit/__pycache__/frontend.cpython-38.pyc,,
torch/jit/__pycache__/quantized.cpython-38.pyc,,
torch/jit/__pycache__/supported_ops.cpython-38.pyc,,
torch/jit/_logging.py,sha256=AXSPcmOG3GZFileVv9IeUES0wb5kjDTYzzsy5fCyj4E,256
torch/jit/_pickle.py,sha256=DqnUWMS3h3Rm4i9O6AFMsQkSmotTgijKxYjguu3HO7M,402
torch/jit/_recursive.py,sha256=LoPieHEezUYWdZ0E6hKkWHin8rZI0aYi8I_r7OQ8UZs,25859
torch/jit/annotations.py,sha256=jH_MblizBUEGHTSAsdmCbPXyAyBgrG-b5LrM8o4uSS0,9768
torch/jit/frontend.py,sha256=msZy4FxRiJhLib2YpwQHBdjQ8rnQyWv_Sdtsnk8qq5w,26959
torch/jit/quantized.py,sha256=X_0O2FpK22RVGvZjNUSbmA4GZC4x2Q2nQQKXmBvjoPo,29043
torch/jit/supported_ops.py,sha256=n8N3kVaGiyzjTqJOpdsotUssxJnM5cqSELUoDep1v20,4328
torch/lib/libc10.so,sha256=RhHd7nkj1sOZRUYV6BNoAFC8I2RC250Suw0EyNFifkg,360168
torch/lib/libcaffe2_detectron_ops.so,sha256=jlq-McWz87xvrc1NALdof8UpH-Xi7Rbfr8dDCW0VoBk,522904
torch/lib/libcaffe2_module_test_dynamic.so,sha256=G35Iq4wJdWPqxsDQiJNaw4TFS6iCSksrTNk4PNOJ_tM,99408
torch/lib/libcaffe2_observers.so,sha256=23AwJo-RbyR5MPSRYT4a5nQCwZ-EdmC5HcwBkyPGUbc,142144
torch/lib/libshm.so,sha256=vE80y5a8xiG-JNs0YvxPcGwhUkGYJY9-I3uZjrwQBU8,54992
torch/lib/libtorch.so,sha256=34qYRQniJ8InMNgZMASniOR3Za7XfAubAST_mz4PkjM,89233776
torch/lib/libtorch_python.so,sha256=WOGVeDaL0kZXbtqCy2srMZfOqPW6KAme5N8AdKMQtAU,14798152
torch/multiprocessing/__init__.py,sha256=om_w443treg6chOO7rDBYLcoX-avTd4wwlhNEImQeP8,2617
torch/multiprocessing/__pycache__/__init__.cpython-38.pyc,,
torch/multiprocessing/__pycache__/pool.cpython-38.pyc,,
torch/multiprocessing/__pycache__/queue.cpython-38.pyc,,
torch/multiprocessing/__pycache__/reductions.cpython-38.pyc,,
torch/multiprocessing/__pycache__/spawn.cpython-38.pyc,,
torch/multiprocessing/pool.py,sha256=9ReupHvT8plEbjKcsJ3FLA_eFmNd6Dwv1k9jn36uzmU,1632
torch/multiprocessing/queue.py,sha256=iviKAtQAIRZhTaVjwUv74drYZR77n161D6r5kBLMiP8,1439
torch/multiprocessing/reductions.py,sha256=DBbIIHWjBZMR35HCPFmpthW_bcg60lVmSh-W6dwd18U,15056
torch/multiprocessing/spawn.py,sha256=wdW6qDEVrTZS2AGt6gmBnN1r0YzLQ78DoNFIoi2h6XI,6164
torch/nn/_VF.py,sha256=dZbSwFNpgydRSIWl4qwgDPaT4KVQ2FXCdliUhdTlDT8,310
torch/nn/__init__.py,sha256=wSv6MOdyt02fLYeRchjLQDY_AV4m7V5fxIooiYDesBw,130
torch/nn/__init__.pyi,sha256=FbqYasOORcTL0ldP3z0WgMSkNxLFmtqwsfB79cwqN4Y,216
torch/nn/__pycache__/_VF.cpython-38.pyc,,
torch/nn/__pycache__/__init__.cpython-38.pyc,,
torch/nn/__pycache__/_reduction.cpython-38.pyc,,
torch/nn/__pycache__/cpp.cpython-38.pyc,,
torch/nn/__pycache__/functional.cpython-38.pyc,,
torch/nn/__pycache__/grad.cpython-38.pyc,,
torch/nn/__pycache__/init.cpython-38.pyc,,
torch/nn/__pycache__/parameter.cpython-38.pyc,,
torch/nn/_reduction.py,sha256=V3v6wjrErb9q8qZfbX6U0_yhsqqpUMF_br-5utgDzyk,1571
torch/nn/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/nn/backends/__pycache__/__init__.cpython-38.pyc,,
torch/nn/backends/__pycache__/thnn.cpython-38.pyc,,
torch/nn/backends/thnn.py,sha256=nE2JB9uT5tlHv6ImI20PbJINVIUTBAx7Vl_WZLHgk-E,118
torch/nn/common_types.pyi,sha256=OyXbfiqOg-xR3n26UCT3Io2is0T7qXLblNWwKfvlZl8,1582
torch/nn/cpp.py,sha256=pWtfEt_2mXuOL4kb7p8TTUVz6aw75VuSbCGu2zMjzn4,2826
torch/nn/functional.py,sha256=RdJeSQePDAC9VZ09f_QS2SUNb0rR-vQGu0q6uWjbTPs,151506
torch/nn/functional.pyi,sha256=OFX6f9ojpcWSNJkwksXyrIursuVUJOaIckF0dzh83Lo,14752
torch/nn/grad.py,sha256=3NX5WTpInZFoHoGkYHgOm2Y5n_vE4TAZ2syHcWkqc0E,13694
torch/nn/init.py,sha256=pElEOhwk5tjFMi7qLX6822BX60Fc_DxM9_gTWPnCWNM,15407
torch/nn/intrinsic/__init__.py,sha256=RYAtrQ_ocztppkNoRUZz0X22vA8SMklHlxd3F0Ne7P4,308
torch/nn/intrinsic/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/modules/__init__.py,sha256=3WeIOMdZUasUuYTo3_efqC98yDhy3sdng_Vjc2HvDaE,298
torch/nn/intrinsic/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/modules/__pycache__/fused.cpython-38.pyc,,
torch/nn/intrinsic/modules/fused.py,sha256=1npeXc9T8MsK_D0oLqiJAGGgl7DKlYgdmiz1WGsoYX8,2526
torch/nn/intrinsic/qat/__init__.py,sha256=2hpACqicJwLnCTpceRnje0lVDLRS48mbugRIMUjtyY8,397
torch/nn/intrinsic/qat/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/qat/modules/__init__.py,sha256=x1IfUSs2IBFqYXFxUW3yhR3IYIWDCkXyhVwAv2mNUoA,345
torch/nn/intrinsic/qat/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/qat/modules/__pycache__/conv_fused.cpython-38.pyc,,
torch/nn/intrinsic/qat/modules/__pycache__/linear_relu.cpython-38.pyc,,
torch/nn/intrinsic/qat/modules/conv_fused.py,sha256=9d_ee-fX3elQ_bBxX8szXuYQsY6PZ-4sOdP-_1kQKfE,11236
torch/nn/intrinsic/qat/modules/linear_relu.py,sha256=uFegwO2CJCFDIsJCc1fdCw9RhWkd5P4qFiIpBK-_83o,1400
torch/nn/intrinsic/quantized/__init__.py,sha256=M7_0q0FDdvZQRl_jKNM51cbBEuxSFilHkaDCcvXEliM,228
torch/nn/intrinsic/quantized/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/quantized/modules/__init__.py,sha256=TAk-szFyldHQmPvdVpQo8fYy_mslVI6tvDMd4AbLacA,194
torch/nn/intrinsic/quantized/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/intrinsic/quantized/modules/__pycache__/conv_relu.cpython-38.pyc,,
torch/nn/intrinsic/quantized/modules/__pycache__/linear_relu.cpython-38.pyc,,
torch/nn/intrinsic/quantized/modules/conv_relu.py,sha256=EglWPNPTr6gMzAY8xeU4jLG0Y0885-M_Y2lCs0W7PbA,3320
torch/nn/intrinsic/quantized/modules/linear_relu.py,sha256=W0sRnSnCdg8zcY3GrFr687aYMm6VTrbzJq9Ti3X4aR4,1161
torch/nn/modules/__init__.py,sha256=yGgefY1ftfyJAZSqO-eRKQ4cJ36FoM0uCRouaynqzIc,4281
torch/nn/modules/__init__.pyi,sha256=n1Nj21YLSQ2EwWmewqCTkWMJaFEZzLJ4DQNzTvqH1j0,3983
torch/nn/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/modules/__pycache__/_functions.cpython-38.pyc,,
torch/nn/modules/__pycache__/activation.cpython-38.pyc,,
torch/nn/modules/__pycache__/adaptive.cpython-38.pyc,,
torch/nn/modules/__pycache__/batchnorm.cpython-38.pyc,,
torch/nn/modules/__pycache__/container.cpython-38.pyc,,
torch/nn/modules/__pycache__/conv.cpython-38.pyc,,
torch/nn/modules/__pycache__/distance.cpython-38.pyc,,
torch/nn/modules/__pycache__/dropout.cpython-38.pyc,,
torch/nn/modules/__pycache__/flatten.cpython-38.pyc,,
torch/nn/modules/__pycache__/fold.cpython-38.pyc,,
torch/nn/modules/__pycache__/instancenorm.cpython-38.pyc,,
torch/nn/modules/__pycache__/linear.cpython-38.pyc,,
torch/nn/modules/__pycache__/loss.cpython-38.pyc,,
torch/nn/modules/__pycache__/module.cpython-38.pyc,,
torch/nn/modules/__pycache__/normalization.cpython-38.pyc,,
torch/nn/modules/__pycache__/padding.cpython-38.pyc,,
torch/nn/modules/__pycache__/pixelshuffle.cpython-38.pyc,,
torch/nn/modules/__pycache__/pooling.cpython-38.pyc,,
torch/nn/modules/__pycache__/rnn.cpython-38.pyc,,
torch/nn/modules/__pycache__/sparse.cpython-38.pyc,,
torch/nn/modules/__pycache__/transformer.cpython-38.pyc,,
torch/nn/modules/__pycache__/upsampling.cpython-38.pyc,,
torch/nn/modules/__pycache__/utils.cpython-38.pyc,,
torch/nn/modules/_functions.py,sha256=dbB4oUmLVQrANfqfA9rDqwUcs0migOqlRXppzStKS9Q,7582
torch/nn/modules/activation.py,sha256=MNBS6vrlm4oU9mmtHW8MrJGE04BJ27MaNWj0VZycUlI,33337
torch/nn/modules/activation.pyi,sha256=ZxEtSwC8T0eBWeZPCFMkvsVXP68CIOBQDaxLEcB7TJo,5597
torch/nn/modules/adaptive.py,sha256=d9YcFhyxaddmBaVqUG7p_mYu-l1ZnRGkeT8UHHO8XSw,10565
torch/nn/modules/adaptive.pyi,sha256=E9omirdf_WMZOQkLnZj916lZ7G2fTSXVsclu9ZuCQfg,961
torch/nn/modules/batchnorm.py,sha256=Q7DgXJ7l-0USTiUL_jBBSWB1BizjPTDgbdIgdrS-J8M,24172
torch/nn/modules/batchnorm.pyi,sha256=zCuDyWfvqSRJvi5Kxs8ad1DOxYnKt7zIRt0RGX0Z74o,1291
torch/nn/modules/container.py,sha256=17rBV5ioXLWNugQiS80jjRrAsl-LNgWiwBVIY8fIPNY,20577
torch/nn/modules/container.pyi,sha256=QNTJE9YMa0zWG2qpdMVvHWnKPesMAmk9FbjAASiTK9w,3735
torch/nn/modules/conv.py,sha256=yumtk0PrVmWLSv8HgIiC_MXTSCp5RfskC4gs0plassE,45834
torch/nn/modules/conv.pyi,sha256=fbF-YLwZw-gv7CHrJ9W-htdKyeQXo0p-Zjwj277uQ4c,4525
torch/nn/modules/distance.py,sha256=0QVEs8SIC8c9hQAwx-odBszM121my2ADNytYh3KCAYg,2447
torch/nn/modules/distance.pyi,sha256=EsqCroOxw9-wdgIwzfCAGmzfb6zHfFePaf62k1O1fdc,672
torch/nn/modules/dropout.py,sha256=QWPwiAzYrxlxWw2KcS-w0SMLCHlp8h4uYj32odqX6LA,6676
torch/nn/modules/dropout.pyi,sha256=XwR0_vt3tzuXjtKdnrpqWFmgZmaXi3tXzkf6-hP9UAM,1065
torch/nn/modules/flatten.py,sha256=sQuSgIbhqjdUqXFlrhrilZNewt92EQ9afj6riIesdq4,819
torch/nn/modules/flatten.pyi,sha256=ncXoGrZ5Ek25q_QkMcr3SshcfK5nfJPQrEYRnbWEqWM,340
torch/nn/modules/fold.py,sha256=Ics_fPh7fb16fIvXrGzxgWjSfNsXCW7MKUiUfS22_xM,11944
torch/nn/modules/fold.pyi,sha256=UsR3H6IzP597zAkdw4xkV9soeRN0137vPbpM81ri6hw,1058
torch/nn/modules/instancenorm.py,sha256=RjP-ufisN8x_O8AUPmhCVRMq_VFoq-xFJBxUdrcLP1U,13081
torch/nn/modules/instancenorm.pyi,sha256=IfoLqgj8suwh1n8HTJhS6grYX1nhp4f-nRPh_vTdQNM,526
torch/nn/modules/linear.py,sha256=RE4CM7Wz2g8GHAmMdO6tS2OIWJE8xWCxa0ymHbPJ9AY,6052
torch/nn/modules/linear.pyi,sha256=KliESSYxKRxMf5AyKSAc-h28wlP1fSOU3P-zcoNuae0,1180
torch/nn/modules/loss.py,sha256=JbY7OgwSUODebpWSEXLbE-bjQyX0bNpnHG6wkKKxAQ0,66318
torch/nn/modules/loss.pyi,sha256=0Z_0nlKOi8jzCX7oT-1e-ZCyp6BE0BSD6Z9VX6V0SqA,6410
torch/nn/modules/module.py,sha256=iCtnhDEt9_ek1ko8ORxPrDlmxFkYoa4ZhfFkMJ7D0u8,46324
torch/nn/modules/module.pyi,sha256=YDHiZBqDrmIY14XI78zH3onWFgnPZZRgwUnmD93cYOc,4309
torch/nn/modules/normalization.py,sha256=4UlYyc7x7I5O1lpWe-hkRa31GHvbRDAfCKpsLK4ecJQ,8781
torch/nn/modules/normalization.pyi,sha256=M7ilj9QNEE4BqkEwT6evQMYzmslVgOGImw-07m8l70A,1823
torch/nn/modules/padding.py,sha256=YhEDNEZQ7JEoRIUwdmCsw8IIilR-vh1OtYI36mQDBnc,15999
torch/nn/modules/padding.pyi,sha256=s829xo21R8s9U7udrzQ78vsFlQriLgw1I6dKfIUDE2I,1941
torch/nn/modules/pixelshuffle.py,sha256=DY0j8qVzGTFlMc6CMkKYuqYqTtSuGEFb0tvF4-2c33E,1637
torch/nn/modules/pixelshuffle.pyi,sha256=avJwnPasIawBcn6yoFi6biQuZUAvc3VCRwWW7u1kEBQ,307
torch/nn/modules/pooling.py,sha256=Xc02yZo4aSDPd33NxOG9EUwwiz2prCxLgiVd7LwmZAU,45390
torch/nn/modules/pooling.pyi,sha256=uNRXpdVJDzdcxhE1Ql-Yk4Zb6q41x4ffxLuNEhOQMFA,7826
torch/nn/modules/rnn.py,sha256=ySSpS96uCNe8pBMfnBxvGlQYCR9g_Tu2wYrksTLro4Y,46869
torch/nn/modules/rnn.pyi,sha256=iI6hQgV05nxO6amqB7MDtD4IubSKsfus9_nldtRO-t8,5514
torch/nn/modules/sparse.py,sha256=BRn9aLuBu8FBJA4D8Hh51F37_AkITINdZU9w4RxL0l0,16495
torch/nn/modules/sparse.pyi,sha256=6HrwkCZevmUZXaDBU_obS7ldl5H_j-GJUjQ3FQJalV0,2145
torch/nn/modules/transformer.py,sha256=I4gE5n3dY_1j8EVGuLuKyd3QPCIhfr9Xfq00MYbB2oc,16853
torch/nn/modules/upsampling.py,sha256=rr6pVb5jOlk49oiAdJnlbLXOjdtMUgl1umJWpHUvGT4,9583
torch/nn/modules/upsampling.pyi,sha256=W9PqESPJP57xZyN_mmF_Qb-EEyRK3_7G5zG3xIqw8SE,942
torch/nn/modules/utils.py,sha256=swmGENgZpFQH8b5B5FYAPTb3mEibHbLXMI9JSFwg4pE,640
torch/nn/parallel/__init__.py,sha256=gWwfsEeOXMaJ78fTbP3E0_-x1t59JrbZxxKMdU8CrMs,645
torch/nn/parallel/__init__.pyi,sha256=y0VCaWJeNtKuruk2JU3xriC0XOx9l6IvOUPoelC-BQo,336
torch/nn/parallel/__pycache__/__init__.cpython-38.pyc,,
torch/nn/parallel/__pycache__/_functions.cpython-38.pyc,,
torch/nn/parallel/__pycache__/data_parallel.cpython-38.pyc,,
torch/nn/parallel/__pycache__/distributed.cpython-38.pyc,,
torch/nn/parallel/__pycache__/parallel_apply.cpython-38.pyc,,
torch/nn/parallel/__pycache__/replicate.cpython-38.pyc,,
torch/nn/parallel/__pycache__/scatter_gather.cpython-38.pyc,,
torch/nn/parallel/_functions.py,sha256=m08vd2yNQ3eYP6YnxjFm3ixaDgaQGWrA0zoe7s5TXcc,4409
torch/nn/parallel/common_types.pyi,sha256=dtjbpgyeXPzblfpxEGJLCCQC4anQoKjCLLEKjzlQGsQ,123
torch/nn/parallel/data_parallel.py,sha256=WbnxdaJxqs2QFpQciAQrEzN789x35obDy63RMtRxiPo,9266
torch/nn/parallel/data_parallel.pyi,sha256=LxqWPLNv7KVpSNC7QHuEXk6RQIwHdDnOYQQ9BtgFYNY,907
torch/nn/parallel/distributed.py,sha256=wgWXPISm6ZisGCaw2NgkBXUvypYj_wZic92uz4Lre5I,25230
torch/nn/parallel/distributed.pyi,sha256=-ekTcQD15v_mWbuUC7X2yU1ygjxcS20L26WrDyQN2KA,1022
torch/nn/parallel/parallel_apply.py,sha256=z3ugy5s7EEnJX6vs1Ajl0beVolOct9G-YEqEfKrsaKM,3108
torch/nn/parallel/parallel_apply.pyi,sha256=QD6JobHCMZ3A-e7ipZAXWMnMTFbmDNW5mU18LFi4Edw,293
torch/nn/parallel/replicate.py,sha256=MpTjcyNOvCQx7U8IutzS4x7xk9Pjc8XO-dbfAzfEz38,6216
torch/nn/parallel/replicate.pyi,sha256=rYssHVR7uIq9o83xrpIx-oYTZsfdh0vOFlJleNN2CIY,269
torch/nn/parallel/scatter_gather.py,sha256=tp9VbP0sZxYNNzDCMdG7bSbq-dzH1pEo9cSAr4Z5Uh0,2690
torch/nn/parallel/scatter_gather.pyi,sha256=DoplOGteqIXzA07ANVqdXFfUvm5W0iaynR2lgzJ14wA,1005
torch/nn/parameter.py,sha256=4Hk4AMt85CfMN0Ff2_jXUOVqXo0MoZ8RIHfU9q-9e58,1711
torch/nn/parameter.pyi,sha256=wEkUohmf_uvPvmdYDpwaUnVUC_wFIViK7_bKjIoC4Ek,145
torch/nn/qat/__init__.py,sha256=gBQmXH0KJTKFWIj7JTMyI75wFVGKgQ8xfM2N0gKRjdc,106
torch/nn/qat/__pycache__/__init__.cpython-38.pyc,,
torch/nn/qat/modules/__init__.py,sha256=sZxtHiYwO9aPdgqTauu0BVrLHxIjVJlS_5JIofVIq-s,138
torch/nn/qat/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/qat/modules/__pycache__/conv.cpython-38.pyc,,
torch/nn/qat/modules/__pycache__/linear.cpython-38.pyc,,
torch/nn/qat/modules/conv.py,sha256=qg0Ofqjutmue5O-1g7nnRDyR-sTIFfcU4oLBeByAYBE,2666
torch/nn/qat/modules/linear.py,sha256=Rq7tZY_6L0p0IozT-p4S_FMu2jyi2KLxbNMAQaWbb98,2185
torch/nn/quantized/__init__.py,sha256=1ZIbK7aoR_RfZJwaQbwsmoRa1rBKrKPqR8pbIY8UK9M,173
torch/nn/quantized/__pycache__/__init__.cpython-38.pyc,,
torch/nn/quantized/__pycache__/functional.cpython-38.pyc,,
torch/nn/quantized/dynamic/__init__.py,sha256=a3DbpESBINZl5wglVoDlbRbFPgQUIjLaIbiSfxk0I7c,108
torch/nn/quantized/dynamic/__pycache__/__init__.cpython-38.pyc,,
torch/nn/quantized/dynamic/modules/__init__.py,sha256=VvX_4sqNRFNcr9y7Dr78zt3jG-YG-T0fyQEPHa00LWw,133
torch/nn/quantized/dynamic/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/quantized/dynamic/modules/__pycache__/linear.cpython-38.pyc,,
torch/nn/quantized/dynamic/modules/__pycache__/rnn.cpython-38.pyc,,
torch/nn/quantized/dynamic/modules/linear.py,sha256=micE2ETg1SgS8AWLkFi0dnR9B0k7nOtedgnNeFhT_sQ,3404
torch/nn/quantized/dynamic/modules/rnn.py,sha256=jay7EN2meRFNmgB0AUbxYYz492mY59u3ZNTk7xTfG04,17244
torch/nn/quantized/functional.py,sha256=uFn3pEArUx8vznHdTl15xF4sOINM_m1lZ-iVKmQt8RE,17634
torch/nn/quantized/modules/__init__.py,sha256=bflrhSJ5iL32OBYUcH3ILKx3fAE1l89plq-PQZ5Rswc,2638
torch/nn/quantized/modules/__pycache__/__init__.cpython-38.pyc,,
torch/nn/quantized/modules/__pycache__/activation.cpython-38.pyc,,
torch/nn/quantized/modules/__pycache__/conv.cpython-38.pyc,,
torch/nn/quantized/modules/__pycache__/functional_modules.cpython-38.pyc,,
torch/nn/quantized/modules/__pycache__/linear.cpython-38.pyc,,
torch/nn/quantized/modules/__pycache__/utils.cpython-38.pyc,,
torch/nn/quantized/modules/activation.py,sha256=8tEOR6mBpYTDezrCV-dFuOUfR90OD6SWu2nqCoJmGsk,2402
torch/nn/quantized/modules/conv.py,sha256=c5MeVK3Tb1ZF_RTxw6PVhwsfHTm3w_ZWjiY_8NlupsE,15277
torch/nn/quantized/modules/functional_modules.py,sha256=5szMRzSq0jzLqSqLBZnuIww6Ds-ZmXmlSOC0p6aUBOQ,6132
torch/nn/quantized/modules/linear.py,sha256=ttQArGe36jTSa-sznUN086yOZpn9hm8NDUiU6RPDgIg,8734
torch/nn/quantized/modules/utils.py,sha256=YIPJrrYfdg4lxvXhPtmHGhbPh74za7TZUneL6r1Ybbc,712
torch/nn/utils/__init__.py,sha256=onvIm8f0W_Hn4GmBvzavZtz9CNTZ6wAuWBLFKNjKcrE,346
torch/nn/utils/__pycache__/__init__.cpython-38.pyc,,
torch/nn/utils/__pycache__/clip_grad.cpython-38.pyc,,
torch/nn/utils/__pycache__/convert_parameters.cpython-38.pyc,,
torch/nn/utils/__pycache__/fusion.cpython-38.pyc,,
torch/nn/utils/__pycache__/prune.cpython-38.pyc,,
torch/nn/utils/__pycache__/rnn.cpython-38.pyc,,
torch/nn/utils/__pycache__/spectral_norm.cpython-38.pyc,,
torch/nn/utils/__pycache__/weight_norm.cpython-38.pyc,,
torch/nn/utils/clip_grad.py,sha256=yRgocu9BignA-pTC3o_lr4-r_YpgifxviSYYhqs9WVg,2622
torch/nn/utils/convert_parameters.py,sha256=3CmJvPGicEKaTdcme8MADJ9q0F8OaSPElq8aJiwrQZ4,2856
torch/nn/utils/fusion.py,sha256=EKeMkHLrNujlU0ucgfKr0_DB_ywwCbh1Gl7H5zyqxy8,885
torch/nn/utils/prune.py,sha256=Hml1tJRGpFOgTIk-TckOKAOdizIJLwE1F2zdAumpZio,52899
torch/nn/utils/rnn.py,sha256=2MsPXD_UDrlx4U318TM9JOwqBkYSrhO0sHSAd0kvQ5I,16406
torch/nn/utils/spectral_norm.py,sha256=FX09hVqLi6wFYzNBaQ3YSo6T8tdlhhfyzzn8OlXE-Ek,13115
torch/nn/utils/weight_norm.py,sha256=zav4QhqXbkcTcPl-TRo06rycmlrwJFFi6qOkd4AXC6c,3959
torch/onnx/__init__.py,sha256=P1_AJ4MJbMqEhB5wdDlrgZFtETTU_1yk4L9V37qXRkE,9934
torch/onnx/__pycache__/__init__.cpython-38.pyc,,
torch/onnx/__pycache__/operators.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_caffe2.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_helper.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_opset10.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_opset11.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_opset7.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_opset8.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_opset9.cpython-38.pyc,,
torch/onnx/__pycache__/symbolic_registry.cpython-38.pyc,,
torch/onnx/__pycache__/utils.cpython-38.pyc,,
torch/onnx/operators.py,sha256=U6EBfrWvrI8T19GXY6bl74cJgwYnc5-0H1resnKQ64s,578
torch/onnx/symbolic_caffe2.py,sha256=HqhqY_VKnmNjfNudInzy3z4ZSCaUqYcgXpDMuJYq6ZY,4613
torch/onnx/symbolic_helper.py,sha256=D7Onic4THYhY7aarGISCbL1Yd3b7o9M4542QZ-tpMMQ,19987
torch/onnx/symbolic_opset10.py,sha256=IdUfw97aOOhN5mpxvrszLOAn2nzaXd2EThU8_MwqcgY,7884
torch/onnx/symbolic_opset11.py,sha256=hfjZo-RsxQZVFP01tAP2BssVe26TwQHRMUm0NJhap8o,18849
torch/onnx/symbolic_opset7.py,sha256=aSfrT8Ldk7vTR2IC1mqc4qqj-_hfmrtqG7evgv9Jndw,1817
torch/onnx/symbolic_opset8.py,sha256=Wp-Jh0Ayh9_1M7_VC4C_adH43VixNNXK3Lkg9u62qK4,11037
torch/onnx/symbolic_opset9.py,sha256=-oyv_HKjvGWz-_kPQnZ67Q-5nfDyYrn21Lxw3TPFyWE,84799
torch/onnx/symbolic_registry.py,sha256=Yf9JBXjKS_wSkllsxn-jNioZD68TWLLaB_IoXIw_re0,3773
torch/onnx/utils.py,sha256=y4gN8MjfIww1stYggBPkMKq5OvuvJfx4Pe1xNVdr_6o,40126
torch/optim/__init__.py,sha256=nZZuLHOBjW_TN8a8reMNJnZ4aR_e01rn8wJ0cMtnE4E,740
torch/optim/__init__.pyi,sha256=_esLMOV5n5BHym6T76UjQ7X_GwAMCRiBXy79ZWkN5xc,102
torch/optim/__pycache__/__init__.cpython-38.pyc,,
torch/optim/__pycache__/adadelta.cpython-38.pyc,,
torch/optim/__pycache__/adagrad.cpython-38.pyc,,
torch/optim/__pycache__/adam.cpython-38.pyc,,
torch/optim/__pycache__/adamax.cpython-38.pyc,,
torch/optim/__pycache__/adamw.cpython-38.pyc,,
torch/optim/__pycache__/asgd.cpython-38.pyc,,
torch/optim/__pycache__/lbfgs.cpython-38.pyc,,
torch/optim/__pycache__/lr_scheduler.cpython-38.pyc,,
torch/optim/__pycache__/optimizer.cpython-38.pyc,,
torch/optim/__pycache__/rmsprop.cpython-38.pyc,,
torch/optim/__pycache__/rprop.cpython-38.pyc,,
torch/optim/__pycache__/sgd.cpython-38.pyc,,
torch/optim/__pycache__/sparse_adam.cpython-38.pyc,,
torch/optim/adadelta.py,sha256=vh1n7c7lx2FJjupXVlCEcYiccklwanqR-JleFNtsnrE,3022
torch/optim/adagrad.py,sha256=YrkeKzC9NuUlEO-BQEcs5TDSDMnTIv2fbRKNHpmzWWY,4180
torch/optim/adam.py,sha256=lwZ9g4I3gFPL0TCEyE8dptrH9YS3-87_X2GyBw53YJE,4763
torch/optim/adam.pyi,sha256=yAFKF9Hl4zjTnM6CaI0JU8xxtzOoRjVuWf_HMNjWR1I,257
torch/optim/adamax.py,sha256=hhP-VM3T37Gnlysy-N61RXjyoO0wya7nWAGHr8A3QP4,3499
torch/optim/adamw.py,sha256=ZCGDk9yDtOK6zGrUqoqYC_yhLoQLdZdndNiN_DWuO8c,5009
torch/optim/asgd.py,sha256=SOMbR5QduZ3x3rizN9BSwtYMdqI2ZX4SVRwPowTUnME,3062
torch/optim/lbfgs.py,sha256=rhuqaE6sI9oe1VRdGAEafw-MB1nL1f9aGdzRUi7MmoM,17060
torch/optim/lr_scheduler.py,sha256=Hv4I1_hvErviwc5yJkauSUXG_hlhHbXJBY_785a8lMM,53114
torch/optim/lr_scheduler.pyi,sha256=IaVJl12_WszrnNob65NY6JXJTZu5i9IofHsA_7Fw2wc,2136
torch/optim/optimizer.py,sha256=VsejPDMRHRim2fuhvvGjjpNnFRf64nkMxDgcFyswU_A,8724
torch/optim/optimizer.pyi,sha256=vFltxZCm_6Mzn4JypH0zDUHDXgE2D9jCtSFOKZstSUI,477
torch/optim/rmsprop.py,sha256=knnCB9qaHeklD0heJbC2O-G17XuiZzuIxad4rpbpjBs,4574
torch/optim/rprop.py,sha256=p0r2wNnhtxpU0IcWuiQUj6HEYZf2KXs2HhoF1Fz0A7w,2872
torch/optim/sgd.py,sha256=TVqlULeCAlm5zqNLelF9Rzn6JrOyGZFG57Ub_BK6ZlA,4095
torch/optim/sgd.pyi,sha256=ACEZHhtHmjfPijTeJ5T6t7TVaix5RuDEba-M_k5lpuk,219
torch/optim/sparse_adam.py,sha256=fo2resbvNwtVvvBhWdiDrjqF3Foylt9Gt26vi_whGsc,4669
torch/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/quantization/__init__.py,sha256=SsdnADJF4WQ6XHHqI-3tHCqwEMvR8_1SBSKt3UHNKX0,1272
torch/quantization/__pycache__/__init__.cpython-38.pyc,,
torch/quantization/__pycache__/_quantize_script.cpython-38.pyc,,
torch/quantization/__pycache__/default_mappings.cpython-38.pyc,,
torch/quantization/__pycache__/fake_quantize.cpython-38.pyc,,
torch/quantization/__pycache__/fuse_modules.cpython-38.pyc,,
torch/quantization/__pycache__/observer.cpython-38.pyc,,
torch/quantization/__pycache__/qconfig.cpython-38.pyc,,
torch/quantization/__pycache__/quantize.cpython-38.pyc,,
torch/quantization/__pycache__/stubs.cpython-38.pyc,,
torch/quantization/_quantize_script.py,sha256=AYBZCTaq3HZvzs3ClFI_fyh-swE6vBXNOhvZWN6NhqI,4521
torch/quantization/default_mappings.py,sha256=TNXcvDL_Ul47EUi76SvSsGyM2m0MeXY0Q5DsTKYl2NE,1843
torch/quantization/fake_quantize.py,sha256=dvqtubPScef4KfR6AJnZuJpIv0ZEUvejkohpG9JyGVI,7171
torch/quantization/fuse_modules.py,sha256=wUjK0HnTOrWaElPqb8tL9Koj_cFnwvVCThxHRy3f7Bg,6330
torch/quantization/observer.py,sha256=oG7ycMCgaBFtFKFdP-HFx7htBYNUa9bB29_biDPsYjE,36065
torch/quantization/qconfig.py,sha256=khgVtIEKS7GDlJBPeI6B5n_BsDXhOiMAePP8FPwazOA,5286
torch/quantization/quantize.py,sha256=IdofEncjIMxjVoFyTkgg1aOHJZWDoMEEEC-7f11JpDE,14354
torch/quantization/stubs.py,sha256=aTeHvugjmaNRzeelTWEZ1IvyV8H3dBZ8eLYLdqqrzdg,1786
torch/quasirandom.py,sha256=Qc80udcpihQD3IApqS1wQ7p9PASBGheFu7AbiN1c4FU,5098
torch/random.py,sha256=2t_VJ8aparg7Y76N5lwUQVQBCP-VVBZYK5GNYZkUWKI,4300
torch/serialization.py,sha256=NNzQtTcUPwXCfnBqFgci7J4hxPVtlX5ySBGKLzt0Edw,30656
torch/share/cmake/ATen/ATenConfig.cmake,sha256=CeCfB3q0P8qT7siH50mHrB8jfta1JjhD-hDkn89ABRE,282
torch/share/cmake/Caffe2/Caffe2Config.cmake,sha256=47dxLPL1e_2ChKympG9ACgQJVMkK41ArGiTWUyWUwGk,5246
torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake,sha256=w09_S7Y7VxLnnWbUHvjmeyzIEA27quh-Ki3LIVPs95k,368
torch/share/cmake/Caffe2/Caffe2Targets-release.cmake,sha256=AFvBMy9d-GBxjUn4Fw_XYEaNgpeDS34THpJs9flbl1M,1158
torch/share/cmake/Caffe2/Caffe2Targets.cmake,sha256=EuXV1LuaGF1UiR-bS3fwnlpUqA2CqSeOn0Td-jjpOkg,4615
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake,sha256=78mPFyIV7lR9kDJ8vAjJwKUDLpFhbssiLz5tR9CmDxk,525
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake,sha256=vqu01Ir20URBPe8ted_FnG2eCOalNDXgIeN6moC_Fls,1872
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake,sha256=v1O1FBKmJWk1h-Zbh8M6qVlP4OqVsmCcYD8zwdVfb6Q,1657
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake,sha256=7IqISHS5aVxoVFxeH9E-VKasdTaT1qHAcryhZZvOFG4,88392
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake,sha256=_KLZxL3AhZehZKubThy4o2C_gEH5mm4h3kMpxLHgajU,3925
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake,sha256=Rt89jkdI8IcUkEOw_-FPcmMT8I5EHm8xwrxtvvoxNNE,3441
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake,sha256=VlPR80f-gv4s7T2-Q4n5vSfImPLn42-JkadM9m_1ws0,11960
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake,sha256=S2v4_VY-ylF9qlZ_xZ4O0Gbv8GYmyo73vaNAS2M9E9g,10187
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake,sha256=aLA1Dg7qyjW9Eya73fiwm2RqiG0FGwPOV64Sm5-Nobc,14902
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake,sha256=ToKFxPt7HSmEA014cFkMZl79quM2gpF7tmcP8h1BuYs,1564
torch/share/cmake/Caffe2/public/cuda.cmake,sha256=3J8pDdxtJmiTVnqheaIntSkofr57GxFlljp4IdnI6_g,17420
torch/share/cmake/Caffe2/public/gflags.cmake,sha256=I0pzKPAX3l26dOTAg4VIDnWZPce3wK_flnhOUQb5N00,2624
torch/share/cmake/Caffe2/public/glog.cmake,sha256=C7FSz94ZrcMvye8LN-_l5MLzUuFheAN6n9cPehHDdDw,2324
torch/share/cmake/Caffe2/public/mkl.cmake,sha256=HIGmsZ_MmkXJ8O6JQfDkFWUDbCUj8FPuec7rA44EiH8,292
torch/share/cmake/Caffe2/public/mkldnn.cmake,sha256=7kRy6hpdreI0uRvfojdgecw2ywbvwwyyoBaJoarIRXk,361
torch/share/cmake/Caffe2/public/protobuf.cmake,sha256=8zRgxx7bxo4W5BiE2ua96Y_C240xvKDVQ3XWHDPVaQ8,4010
torch/share/cmake/Caffe2/public/threads.cmake,sha256=Wbnh7PtarmVmTrlcU96JYW2_n0cdkM2mLybs5V1GMe8,585
torch/share/cmake/Caffe2/public/utils.cmake,sha256=R0n1sSHYAm10XwK-o2An5bcma5FZm-E5xJ0bPj3bJ4M,12418
torch/share/cmake/Gloo/GlooConfig.cmake,sha256=blpn87JUgKZTANhJdd4zPaoRRO2KiDVVFbq5_1pO3BE,1289
torch/share/cmake/Gloo/GlooConfigVersion.cmake,sha256=lVpxENuzMkHUzRrZs9ZaVwenOHxgOHM94mrY2353Roo,368
torch/share/cmake/Gloo/GlooTargets-release.cmake,sha256=Z20m8t46GVTnmy3wG6w6RoHo_0h5qlI5_o2zActI1eo,809
torch/share/cmake/Gloo/GlooTargets.cmake,sha256=4qqasO-q14MG4b2U_tHV90zWfTbE8w34fFhAMHgiPXE,3393
torch/share/cmake/Torch/TorchConfig.cmake,sha256=52J3Hod7xj__E82bDhngKV5_HrmrElG9fKpoSblMICE,4154
torch/share/cmake/Torch/TorchConfigVersion.cmake,sha256=Kn074yWn60f69q-md5QQQpVRi1qYspQz5PEpRlJYneA,367
torch/sparse/__init__.py,sha256=LXF5wLqNmTubA1VNJgGgirZcHQJHEQM8V2dAHIFDccw,5433
torch/sparse/__pycache__/__init__.cpython-38.pyc,,
torch/storage.py,sha256=1t7A92NZxkECG3gg3RhZlehF-endOTDgyOvshhSwJXg,4400
torch/tensor.py,sha256=z1hbiEmVWnVppC3vHbrwtT6Sn9mxTBKX0K6AMuSS-AE,29537
torch/testing/__init__.py,sha256=n6qPNn7broecntP_Vimvzze4asrdaxBPkjWXXmjzXck,3997
torch/testing/__pycache__/__init__.cpython-38.pyc,,
torch/utils/__init__.py,sha256=EztZsKFqcJNvpL_Q4FmGd54U9bWYjxFjKPpnezWAHeQ,341
torch/utils/__pycache__/__init__.cpython-38.pyc,,
torch/utils/__pycache__/_cpp_extension_versioner.cpython-38.pyc,,
torch/utils/__pycache__/checkpoint.cpython-38.pyc,,
torch/utils/__pycache__/collect_env.cpython-38.pyc,,
torch/utils/__pycache__/cpp_extension.cpython-38.pyc,,
torch/utils/__pycache__/dlpack.cpython-38.pyc,,
torch/utils/__pycache__/file_baton.cpython-38.pyc,,
torch/utils/__pycache__/hooks.cpython-38.pyc,,
torch/utils/__pycache__/mkldnn.cpython-38.pyc,,
torch/utils/__pycache__/model_zoo.cpython-38.pyc,,
torch/utils/__pycache__/throughput_benchmark.cpython-38.pyc,,
torch/utils/_cpp_extension_versioner.py,sha256=0iCD8X-iIXNs3l1rIqqRONt608cQLqe6PudluDSEjis,1854
torch/utils/backcompat/__init__.py,sha256=1vl5-Q4ISj-DetbRdyAiaAdDwzj5cRhuaz1a0EawAn4,675
torch/utils/backcompat/__pycache__/__init__.cpython-38.pyc,,
torch/utils/bottleneck/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/bottleneck/__main__.py,sha256=wI02bRjciPGsoVf89xDjU2pxNLIAg7ZLJiykYA20Sqg,7222
torch/utils/bottleneck/__pycache__/__init__.cpython-38.pyc,,
torch/utils/bottleneck/__pycache__/__main__.cpython-38.pyc,,
torch/utils/checkpoint.py,sha256=N6qr-BQv3-kkB0XqrY1FiQPvzAMgs1AcmksLYlgfhgE,10382
torch/utils/collect_env.py,sha256=z8LfseuIp67fTAUg_GPcdjCZUWdaYGiHdh7U41SiTSQ,12461
torch/utils/cpp_extension.py,sha256=Ifnsom9Nub-c2yrA1HwcBBb6ghHwTB6XNZG1fFEQCGk,49994
torch/utils/data/__init__.py,sha256=XTverDjNqk1n5sOCsZPPZpKPfZoobDsNfdziNwGNmbA,343
torch/utils/data/__init__.pyi,sha256=yyl69iDPIBmZq_QSBcKN-kCTa9yQJIeY1CFNYODcndM,513
torch/utils/data/__pycache__/__init__.cpython-38.pyc,,
torch/utils/data/__pycache__/dataloader.cpython-38.pyc,,
torch/utils/data/__pycache__/dataset.cpython-38.pyc,,
torch/utils/data/__pycache__/distributed.cpython-38.pyc,,
torch/utils/data/__pycache__/sampler.cpython-38.pyc,,
torch/utils/data/_utils/__init__.py,sha256=84sBeAAEhQWLD5ECzddV8CFEfakHmRd5IaX95kXdn6o,1501
torch/utils/data/_utils/__pycache__/__init__.cpython-38.pyc,,
torch/utils/data/_utils/__pycache__/collate.cpython-38.pyc,,
torch/utils/data/_utils/__pycache__/fetch.cpython-38.pyc,,
torch/utils/data/_utils/__pycache__/pin_memory.cpython-38.pyc,,
torch/utils/data/_utils/__pycache__/signal_handling.cpython-38.pyc,,
torch/utils/data/_utils/__pycache__/worker.cpython-38.pyc,,
torch/utils/data/_utils/collate.py,sha256=kalP3Pt8cLEHXJISDfci-FfVFGwFzwwX9zQ6Y9JKFEQ,3377
torch/utils/data/_utils/fetch.py,sha256=5nBv_50ZxS6mtJ8Ru93qNTDVGkXDvFi34PbikaKvEcc,1805
torch/utils/data/_utils/pin_memory.py,sha256=cvHtMagvCB6BIgl-WCqZ8DUIZNMjtBBaOCBO_VGxd3A,2085
torch/utils/data/_utils/signal_handling.py,sha256=KsU8XZrHww_-OPZ238tV130eakCVnfHjNhW3-Hz2ZG8,3080
torch/utils/data/_utils/worker.py,sha256=8HWOl-7PJhpJU95w2I57XPpktj7oqeTGBOcfuiUUwY8,8282
torch/utils/data/dataloader.py,sha256=bXIkdSnHUBrUeRnQFCQUSsR1-pz2jP9cWw9bIs5KfyQ,48249
torch/utils/data/dataloader.pyi,sha256=1j5lF-lr7u8_6AnTJR1Ko-tNub-hO4tRy6O8zgVMYcs,1951
torch/utils/data/dataset.py,sha256=n74dLDSD46i-uQpS2XjMfCkoXTg_oimKfYzrBpOdZiQ,10588
torch/utils/data/dataset.pyi,sha256=GyvHPtez1Hzxpx1lQxx9jcU-cua_W1NDLzJCE7iBza0,973
torch/utils/data/distributed.py,sha256=TAnuGc9iQrtjto1tIg6axua4ikTx1Vlt-4MlW__0jX8,2381
torch/utils/data/distributed.pyi,sha256=JZK5uxJcMqBIDtqfppLVwzVfJMFAStth6Ws4WGLQZ2U,391
torch/utils/data/sampler.py,sha256=PliivEuyIUSfGLDbfpZVE6EH0TSF4reIOQA7tcYZnP0,8380
torch/utils/data/sampler.pyi,sha256=KEKRANIvZjOFVnGekHIPxYnhT4EpiPTm_eamF_uLFl4,886
torch/utils/dlpack.py,sha256=GVNIHlyQbEeAby3ov0vvXlSFM4-8J_zzVXBQQH4ORQ0,725
torch/utils/ffi/__init__.py,sha256=XcihawFoWc4xlTvnmJphj-BuBvARttivCF0DrB9IGz4,87
torch/utils/ffi/__pycache__/__init__.cpython-38.pyc,,
torch/utils/file_baton.py,sha256=EAwKCswdIicj6NP0HR1uP9zNBIxU4Onal1YUpEFeV9U,1615
torch/utils/hipify/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/hipify/__pycache__/__init__.cpython-38.pyc,,
torch/utils/hipify/__pycache__/constants.cpython-38.pyc,,
torch/utils/hipify/__pycache__/cuda_to_hip_mappings.cpython-38.pyc,,
torch/utils/hipify/__pycache__/hipify_python.cpython-38.pyc,,
torch/utils/hipify/constants.py,sha256=eO1madF5Ofjm9ex5tPVQ97Wyr_bmtvwh6jP7JccXTQI,1180
torch/utils/hipify/cuda_to_hip_mappings.py,sha256=Ou_Y-4_s7ZoD5Eb4NYPd5EAYtqZK6wzcDJYuqMJMWII,301445
torch/utils/hipify/hipify_python.py,sha256=HxaafC9qeVw-sEi3Xola0XFDdJlRDsciK8e-vaqYX50,28500
torch/utils/hooks.py,sha256=-pXubZWIiIL1zTU68m-TyLlohQOUgR-2un-sLvvpZtQ,1926
torch/utils/mkldnn.py,sha256=dkwOMugeYwCYsK53vxcJaW1pMiu7gTFnHEv8N2Sg0nA,5078
torch/utils/model_zoo.py,sha256=o2NC-XaU8fqDXbUBQDv7thQBld_LOK-Ko63GS4x8Iyg,117
torch/utils/tensorboard/__init__.py,sha256=BiyXP7XVdHIOr52a6obkVfCgwQJKcrkMBX4CUyhRO6U,339
torch/utils/tensorboard/__pycache__/__init__.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_caffe2_graph.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_convert_np.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_embedding.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_onnx_graph.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_proto_graph.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_pytorch_graph.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/_utils.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/summary.cpython-38.pyc,,
torch/utils/tensorboard/__pycache__/writer.cpython-38.pyc,,
torch/utils/tensorboard/_caffe2_graph.py,sha256=zI--NjjaM19WQLDXBbEmWKFx8VVZXRE1X_P_RQT7A5I,26572
torch/utils/tensorboard/_convert_np.py,sha256=kYdYXG3KeOwJY8tAl8ZXpWpblhLi6LAZYLdWNDusDXc,1019
torch/utils/tensorboard/_embedding.py,sha256=LGnQ_In8N8Q4IaFCfZF7WIsW1ti54AKguAHYsC3YHkQ,2886
torch/utils/tensorboard/_onnx_graph.py,sha256=JypdFPH0gr9w4G1mGero-vhXHj5tvb2TVgutJt_wc3A,1756
torch/utils/tensorboard/_proto_graph.py,sha256=Ek7yCT-K_QO0n8s8ewjR-yBejnkXzNeeRvD1yY8SY_E,1688
torch/utils/tensorboard/_pytorch_graph.py,sha256=Vd5088KNXWRvWNaiUgVAUJPerQsvC8w07v5io3WlUzU,12648
torch/utils/tensorboard/_utils.py,sha256=nOhJcHNkU9pLLkESUOlNhJjdbK2grkmL0iaSd7qFFwk,4068
torch/utils/tensorboard/summary.py,sha256=THkWQ5lIG-fQMi0cE4GtsCRUIC0CLIfZekUvJlAD5ac,27420
torch/utils/tensorboard/writer.py,sha256=jNygwKBUBD0AkQ6M5jCQtwLyji-iAnWh-KQMQftP67M,45269
torch/utils/throughput_benchmark.py,sha256=okf26rlTxeC96QCXrS2V43fGj0a1X4JRDvr8aHdx25s,5999
torch/version.py,sha256=-znhs50MbAC38z9ndgpKxth-VK2sJz1ihZ2-KtbqRKM,116
