../../../bin/convert-caffe2-to-onnx,sha256=GmMx6h1Cup133NLEQz0UUfT5VDXvU_8H7Pl8_RQ7QnY,535
../../../bin/convert-onnx-to-caffe2,sha256=o378wripuVG1Gn7MXAJFFpSqCZ3HTsextqSstvHIi4s,535
caffe2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/aten/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/aten/__pycache__/aten_test.cpython-37.pyc,,
caffe2/contrib/aten/__pycache__/gen_op.cpython-37.pyc,,
caffe2/contrib/aten/aten_test.py,sha256=GPGFNRpCspQnhk0bLqoNyk9w9D_umzvWFRDSH5wfyEQ,3752
caffe2/contrib/aten/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/docs/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/aten/docs/__pycache__/sample.cpython-37.pyc,,
caffe2/contrib/aten/docs/sample.py,sha256=BkvNQAGw2nduwumSexmnj7r0yrZxtlUQh_XaU60wQKA,1622
caffe2/contrib/aten/gen_op.py,sha256=irpBvNIN03K8A79sWPZtHkHtCxUaikP-kGXCHXCuyhA,11928
caffe2/contrib/gloo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/gloo/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/gloo/__pycache__/gloo_test.cpython-37.pyc,,
caffe2/contrib/gloo/gloo_test.py,sha256=iOqVZyRAncvVFA7iR4GZ9HuIooeQFKCjB4vAbVSgQWU,25321
caffe2/contrib/nccl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nccl/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/nccl/__pycache__/nccl_ops_test.cpython-37.pyc,,
caffe2/contrib/nccl/nccl_ops_test.py,sha256=c8SXeOum1hr7zrO9zQtfqyjA27PT8TgWu8_Vm17TnzE,8138
caffe2/contrib/nnpack/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nnpack/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/nnpack/__pycache__/nnpack_ops_test.cpython-37.pyc,,
caffe2/contrib/nnpack/nnpack_ops_test.py,sha256=HaWtv9Gdk4T6aPDa4cAF2alF1CDh0naOVJN9SB0KBfE,8174
caffe2/contrib/playground/AnyExp.py,sha256=WbRNKpVTu5rvHzHB3ZJXxMz66oH4j_yv_HUrdYTPiaA,17968
caffe2/contrib/playground/AnyExpOnTerm.py,sha256=8suzTjCbUzfVWVobZJmWxqBqr-8H7Xf-kvqbRI36DKQ,3346
caffe2/contrib/playground/ModuleRegister.py,sha256=Wcye8XgH7M29JTD0pR6rvqSzS1UQ-SG4fHS2CDu7q-A,4771
caffe2/contrib/playground/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/__pycache__/AnyExp.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/AnyExpOnTerm.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/ModuleRegister.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/checkpoint.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/compute_loss.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/compute_topk_accuracy.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/meter.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/module_map.cpython-37.pyc,,
caffe2/contrib/playground/__pycache__/output_generator.cpython-37.pyc,,
caffe2/contrib/playground/checkpoint.py,sha256=tNc1ZFCJA8tLTZAntadJpbY2bynvGe0wT4k4DUoHVIQ,6881
caffe2/contrib/playground/compute_loss.py,sha256=JODsP17x1Q-clcUzuq6wsxAmdiiNwwIrL9UzOh1Wdys,965
caffe2/contrib/playground/compute_topk_accuracy.py,sha256=nQux21oT9PFuZIceD4Exl73eXgvTGQAQBfTSzqttRok,2189
caffe2/contrib/playground/meter.py,sha256=SbItcSzI-wK9REnuymZKul7xB2NFM2SiLx01pv0wSos,292
caffe2/contrib/playground/module_map.py,sha256=E6ocV7-k2O4jAikwnLINC-zb98dEYkDn5UzGDosqVHw,1427
caffe2/contrib/playground/output_generator.py,sha256=-H4XFRr3TXW8mulvoLS6bnweI7fYkIlmeFDOGP-_p4M,478
caffe2/contrib/playground/resnetdemo/IN1k_resnet.py,sha256=aLnOsryQ_T6WVn3riAe7TWpMCdKCcHwG1KGr2JOqYhE,1498
caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py,sha256=Fj53a56Bv3Epe-tbtXd4WsYhliwzDD_sJEH9-gNpBAw,1880
caffe2/contrib/playground/resnetdemo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet_no_test_model.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_forward.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_param_update.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_forward.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_param_update.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/gfs_IN1k.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/override_no_test_model_no_checkpoint.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/rendezvous_filestore.cpython-37.pyc,,
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py,sha256=DX-sUJOPaZbjGVU-ctTH1RibdXwtaKSnFmqpP8woJEQ,653
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_param_update.py,sha256=jNuq6W65s2lOWOZkCG7ANx6EujtvkqU7-MlcxQyO1oY,1331
caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py,sha256=8tKrAEY6_EFeFOnGteiqzrLNRssFRfg6cBGlrbnlHpM,11491
caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py,sha256=5Xv99YwntRs5CAmKNQHn0eqHHvsCyo8VqRuPgFuVMu4,2268
caffe2/contrib/playground/resnetdemo/gfs_IN1k.py,sha256=3Jw3vV95svK5Ka7NCW66_guIHfkDkiam3DwKGq1C5O8,1406
caffe2/contrib/playground/resnetdemo/override_no_test_model_no_checkpoint.py,sha256=q-kAIhKLJIk6DfxGyCCg8_xX-syFCn2CGZxjROW0Qb0,307
caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py,sha256=kldohcEBJsWqDvjl_2mGd3KlxJ8l42vLVkUC5HVfEcY,1416
caffe2/contrib/prof/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/prof/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/prof/__pycache__/cuda_profile_ops_test.cpython-37.pyc,,
caffe2/contrib/prof/cuda_profile_ops_test.py,sha256=ayW0UA6sX1mEjMrLsHkxkMuHHJ3mXIqyb90Lqf41ILI,704
caffe2/contrib/script/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/script/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/examples/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/tensorboard/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/tensorboard/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard.cpython-37.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter.cpython-37.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter_test.cpython-37.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_test.cpython-37.pyc,,
caffe2/contrib/tensorboard/tensorboard.py,sha256=lT7psq3WGbmd9pLiWWHghGWNhRUcomrMTN83_nKSVqI,6309
caffe2/contrib/tensorboard/tensorboard_exporter.py,sha256=CzJzgosAhomIDG6L70fL18Puw8-xi0-cTR2t2SishZ8,9831
caffe2/contrib/tensorboard/tensorboard_exporter_test.py,sha256=uanvi93UUpXYN9bqYAXntKtycMKFhZ7f3-_9av00oeI,13851
caffe2/contrib/tensorboard/tensorboard_test.py,sha256=yQ-OlxBVsI78nduVB7ZbEQbR8i9f8Gkp52KYmqmRmWw,4156
caffe2/contrib/warpctc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/warpctc/__pycache__/__init__.cpython-37.pyc,,
caffe2/contrib/warpctc/__pycache__/ctc_ops_test.cpython-37.pyc,,
caffe2/contrib/warpctc/ctc_ops_test.py,sha256=bUq27350xGdTFPdDC9tuwvzSsWUcsF-R2eUocI1vuKY,3915
caffe2/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/__pycache__/__init__.cpython-37.pyc,,
caffe2/core/nomnigraph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/nomnigraph/__pycache__/__init__.cpython-37.pyc,,
caffe2/core/nomnigraph/__pycache__/op_gen.cpython-37.pyc,,
caffe2/core/nomnigraph/op_gen.py,sha256=6MdsmtgvvAqBVsLdu8UUd5ESD57NIgCnLKlM0ndA_z8,7563
caffe2/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/distributed/__pycache__/__init__.cpython-37.pyc,,
caffe2/distributed/__pycache__/file_store_handler_op_test.cpython-37.pyc,,
caffe2/distributed/__pycache__/redis_store_handler_op_test.cpython-37.pyc,,
caffe2/distributed/__pycache__/store_ops_test_util.cpython-37.pyc,,
caffe2/distributed/file_store_handler_op_test.py,sha256=izHRjQ_1IiOU8_s-CtqXLRHo1fG3iVjOOh2jxiSKx9Q,1770
caffe2/distributed/redis_store_handler_op_test.py,sha256=fYYVZ1kCySTqCmlEcEv45jeHu8tWtFpuIoRHPw1eSws,1331
caffe2/distributed/store_ops_test_util.py,sha256=O0GXHaP2cWzd5fXfEDQb9UAPepZ5JtNGw7eGAE5ZXDc,2213
caffe2/experiments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/__pycache__/__init__.cpython-37.pyc,,
caffe2/experiments/python/SparseTransformer.py,sha256=9LyDKniHlORbP-6FxI14VEJSjlwX8mTC066O5HFSUmc,6888
caffe2/experiments/python/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/python/__pycache__/SparseTransformer.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/__init__.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/convnet_benchmarks.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/device_reduce_sum_bench.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/funhash_op_test.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/net_construct_bench.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/sparse_funhash_op_test.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/sparse_reshape_op_test.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/tt_contraction_op_test.cpython-37.pyc,,
caffe2/experiments/python/__pycache__/tt_pad_op_test.cpython-37.pyc,,
caffe2/experiments/python/convnet_benchmarks.py,sha256=1Un_BZvh3DjKGB6CACqI_QrQnZU6wrKOwBgCU-h1EQM,20369
caffe2/experiments/python/device_reduce_sum_bench.py,sha256=AfP1VGj6kzFJqO9-61KH_Zn6C2Eikewy9_ZRjAvDA6w,3946
caffe2/experiments/python/funhash_op_test.py,sha256=-jXHxD87MSUpRfSrersUC6AgNSWXDvM1qGoCbxA3x0E,2740
caffe2/experiments/python/net_construct_bench.py,sha256=ySSiB-V4oAXOurcExSZJ5pmfdEhUPERXMaWa4wzsvDc,4124
caffe2/experiments/python/sparse_funhash_op_test.py,sha256=N1nN24kDRVtdnC_OpWKwDT_4pnuYcSNMO392Oq37KZ8,2502
caffe2/experiments/python/sparse_reshape_op_test.py,sha256=cg8f7TDTYUT97RZ6YOi1AQfNuVHZ5xwbL81mFLmJG28,3412
caffe2/experiments/python/tt_contraction_op_test.py,sha256=Z5s77lZZTwp8eIULG1hAGZP1QSde1tThE1s6fabIkwA,2099
caffe2/experiments/python/tt_pad_op_test.py,sha256=IvIKxofx1DhC9BoC7itHf1EJCLeTpNGI_jCVLwrB838,1944
caffe2/perfkernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/perfkernels/__pycache__/__init__.cpython-37.pyc,,
caffe2/perfkernels/__pycache__/hp_emblookup_codegen.cpython-37.pyc,,
caffe2/perfkernels/hp_emblookup_codegen.py,sha256=-_AypUa0L_CH6mS4gwqVlUgrluiHWXlFHBnXhC3XG_s,19251
caffe2/proto/__init__.py,sha256=R_wGqgVfEEk7RvBNWCSmb7XsCP3D7nuA4U5618Dc7Rk,782
caffe2/proto/__pycache__/__init__.cpython-37.pyc,,
caffe2/proto/__pycache__/caffe2_legacy_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/caffe2_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/hsm_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/metanet_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/predictor_consts_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/prof_dag_pb2.cpython-37.pyc,,
caffe2/proto/__pycache__/torch_pb2.cpython-37.pyc,,
caffe2/proto/caffe2_legacy_pb2.py,sha256=Zgx_sqh5xB6ZnJP3DrKLJ54Xa5k5p7-8WUq9YOJBtTo,5489
caffe2/proto/caffe2_pb2.py,sha256=9UCr-fTtzsoG0AYS2J86vdZuy2T1TWNFxGuJt_x2Rgk,79161
caffe2/proto/hsm_pb2.py,sha256=cIST5GHtlvM3HPbFuFRpZOK-FPB5pQgqLEbBtxYIZQE,9928
caffe2/proto/metanet_pb2.py,sha256=6JkiuVWgd-gLMA_PEf9Ray0BgtXF7R2Lsj_-gf4gP6w,15550
caffe2/proto/predictor_consts_pb2.py,sha256=kyKOTHE_FKXUxRqHuWdulJ3TBvKaDLQXU9eJ9lYRoNk,8362
caffe2/proto/prof_dag_pb2.py,sha256=hFLxdp5ZiNXzuf1oG23r65-NzgqSXDtsh3WkLndMYTo,12418
caffe2/proto/torch_pb2.py,sha256=7X0AlODUK0x7pWKAlaWrZGb2mm5O1z4g9UN0NTtFIBU,21797
caffe2/python/__init__.py,sha256=bzKvxO990rY8Uz_svWIAueBpsojgx-rXyDNlLHn7rQU,4006
caffe2/python/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/__pycache__/_import_c_extension.cpython-37.pyc,,
caffe2/python/__pycache__/allcompare_test.cpython-37.pyc,,
caffe2/python/__pycache__/attention.cpython-37.pyc,,
caffe2/python/__pycache__/benchmark_generator.cpython-37.pyc,,
caffe2/python/__pycache__/binarysize.cpython-37.pyc,,
caffe2/python/__pycache__/brew.cpython-37.pyc,,
caffe2/python/__pycache__/brew_test.cpython-37.pyc,,
caffe2/python/__pycache__/build.cpython-37.pyc,,
caffe2/python/__pycache__/cached_reader.cpython-37.pyc,,
caffe2/python/__pycache__/caffe_translator.cpython-37.pyc,,
caffe2/python/__pycache__/caffe_translator_test.cpython-37.pyc,,
caffe2/python/__pycache__/checkpoint.cpython-37.pyc,,
caffe2/python/__pycache__/checkpoint_test.cpython-37.pyc,,
caffe2/python/__pycache__/cnn.cpython-37.pyc,,
caffe2/python/__pycache__/compatibility.cpython-37.pyc,,
caffe2/python/__pycache__/context.cpython-37.pyc,,
caffe2/python/__pycache__/context_test.cpython-37.pyc,,
caffe2/python/__pycache__/control.cpython-37.pyc,,
caffe2/python/__pycache__/control_ops_grad.cpython-37.pyc,,
caffe2/python/__pycache__/control_ops_grad_test.cpython-37.pyc,,
caffe2/python/__pycache__/control_ops_util.cpython-37.pyc,,
caffe2/python/__pycache__/control_test.cpython-37.pyc,,
caffe2/python/__pycache__/convert.cpython-37.pyc,,
caffe2/python/__pycache__/convert_test.cpython-37.pyc,,
caffe2/python/__pycache__/convnet_benchmarks.cpython-37.pyc,,
caffe2/python/__pycache__/convnet_benchmarks_test.cpython-37.pyc,,
caffe2/python/__pycache__/core.cpython-37.pyc,,
caffe2/python/__pycache__/core_gradients_test.cpython-37.pyc,,
caffe2/python/__pycache__/core_test.cpython-37.pyc,,
caffe2/python/__pycache__/crf.cpython-37.pyc,,
caffe2/python/__pycache__/crf_predict.cpython-37.pyc,,
caffe2/python/__pycache__/crf_viterbi_test.cpython-37.pyc,,
caffe2/python/__pycache__/data_parallel_model.cpython-37.pyc,,
caffe2/python/__pycache__/data_parallel_model_test.cpython-37.pyc,,
caffe2/python/__pycache__/data_workers.cpython-37.pyc,,
caffe2/python/__pycache__/data_workers_test.cpython-37.pyc,,
caffe2/python/__pycache__/dataio.cpython-37.pyc,,
caffe2/python/__pycache__/dataio_test.cpython-37.pyc,,
caffe2/python/__pycache__/dataset.cpython-37.pyc,,
caffe2/python/__pycache__/db_file_reader.cpython-37.pyc,,
caffe2/python/__pycache__/db_test.cpython-37.pyc,,
caffe2/python/__pycache__/device_checker.cpython-37.pyc,,
caffe2/python/__pycache__/dyndep.cpython-37.pyc,,
caffe2/python/__pycache__/embedding_generation_benchmark.cpython-37.pyc,,
caffe2/python/__pycache__/experiment_util.cpython-37.pyc,,
caffe2/python/__pycache__/extension_loader.cpython-37.pyc,,
caffe2/python/__pycache__/fakefp16_transform_lib.cpython-37.pyc,,
caffe2/python/__pycache__/filler_test.cpython-37.pyc,,
caffe2/python/__pycache__/functional.cpython-37.pyc,,
caffe2/python/__pycache__/functional_test.cpython-37.pyc,,
caffe2/python/__pycache__/fused_8bit_rowwise_conversion_ops_test.cpython-37.pyc,,
caffe2/python/__pycache__/gradient_check_test.cpython-37.pyc,,
caffe2/python/__pycache__/gradient_checker.cpython-37.pyc,,
caffe2/python/__pycache__/gru_cell.cpython-37.pyc,,
caffe2/python/__pycache__/hip_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/hsm_util.cpython-37.pyc,,
caffe2/python/__pycache__/hypothesis_test.cpython-37.pyc,,
caffe2/python/__pycache__/hypothesis_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/ideep_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/layer_model_helper.cpython-37.pyc,,
caffe2/python/__pycache__/layer_model_instantiator.cpython-37.pyc,,
caffe2/python/__pycache__/layer_parameter_sharing_test.cpython-37.pyc,,
caffe2/python/__pycache__/layer_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/layers_test.cpython-37.pyc,,
caffe2/python/__pycache__/lazy.cpython-37.pyc,,
caffe2/python/__pycache__/lazy_dyndep.cpython-37.pyc,,
caffe2/python/__pycache__/lazy_dyndep_test.cpython-37.pyc,,
caffe2/python/__pycache__/lengths_reducer_fused_8bit_rowwise_ops_test.cpython-37.pyc,,
caffe2/python/__pycache__/lengths_reducer_rowwise_8bit_ops_test.cpython-37.pyc,,
caffe2/python/__pycache__/lstm_benchmark.cpython-37.pyc,,
caffe2/python/__pycache__/memonger.cpython-37.pyc,,
caffe2/python/__pycache__/memonger_test.cpython-37.pyc,,
caffe2/python/__pycache__/mkl_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/model_device_test.cpython-37.pyc,,
caffe2/python/__pycache__/model_helper.cpython-37.pyc,,
caffe2/python/__pycache__/model_helper_test.cpython-37.pyc,,
caffe2/python/__pycache__/modifier_context.cpython-37.pyc,,
caffe2/python/__pycache__/muji.cpython-37.pyc,,
caffe2/python/__pycache__/muji_test.cpython-37.pyc,,
caffe2/python/__pycache__/net_builder.cpython-37.pyc,,
caffe2/python/__pycache__/net_builder_test.cpython-37.pyc,,
caffe2/python/__pycache__/net_drawer.cpython-37.pyc,,
caffe2/python/__pycache__/net_printer.cpython-37.pyc,,
caffe2/python/__pycache__/net_printer_test.cpython-37.pyc,,
caffe2/python/__pycache__/nomnigraph.cpython-37.pyc,,
caffe2/python/__pycache__/nomnigraph_test.cpython-37.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations.cpython-37.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations_test.cpython-37.pyc,,
caffe2/python/__pycache__/normalizer.cpython-37.pyc,,
caffe2/python/__pycache__/normalizer_context.cpython-37.pyc,,
caffe2/python/__pycache__/normalizer_test.cpython-37.pyc,,
caffe2/python/__pycache__/numa_benchmark.cpython-37.pyc,,
caffe2/python/__pycache__/numa_test.cpython-37.pyc,,
caffe2/python/__pycache__/observer_test.cpython-37.pyc,,
caffe2/python/__pycache__/operator_fp_exceptions_test.cpython-37.pyc,,
caffe2/python/__pycache__/optimizer.cpython-37.pyc,,
caffe2/python/__pycache__/optimizer_context.cpython-37.pyc,,
caffe2/python/__pycache__/optimizer_test.cpython-37.pyc,,
caffe2/python/__pycache__/optimizer_test_util.cpython-37.pyc,,
caffe2/python/__pycache__/parallel_workers.cpython-37.pyc,,
caffe2/python/__pycache__/parallel_workers_test.cpython-37.pyc,,
caffe2/python/__pycache__/parallelize_bmuf_distributed_test.cpython-37.pyc,,
caffe2/python/__pycache__/pipeline.cpython-37.pyc,,
caffe2/python/__pycache__/pipeline_test.cpython-37.pyc,,
caffe2/python/__pycache__/predictor_constants.cpython-37.pyc,,
caffe2/python/__pycache__/python_op_test.cpython-37.pyc,,
caffe2/python/__pycache__/queue_util.cpython-37.pyc,,
caffe2/python/__pycache__/record_queue.cpython-37.pyc,,
caffe2/python/__pycache__/recurrent.cpython-37.pyc,,
caffe2/python/__pycache__/regularizer.cpython-37.pyc,,
caffe2/python/__pycache__/regularizer_context.cpython-37.pyc,,
caffe2/python/__pycache__/regularizer_test.cpython-37.pyc,,
caffe2/python/__pycache__/rnn_cell.cpython-37.pyc,,
caffe2/python/__pycache__/schema.cpython-37.pyc,,
caffe2/python/__pycache__/schema_test.cpython-37.pyc,,
caffe2/python/__pycache__/scope.cpython-37.pyc,,
caffe2/python/__pycache__/scope_test.cpython-37.pyc,,
caffe2/python/__pycache__/session.cpython-37.pyc,,
caffe2/python/__pycache__/session_test.cpython-37.pyc,,
caffe2/python/__pycache__/sparse_to_dense_mask_test.cpython-37.pyc,,
caffe2/python/__pycache__/sparse_to_dense_test.cpython-37.pyc,,
caffe2/python/__pycache__/task.cpython-37.pyc,,
caffe2/python/__pycache__/task_test.cpython-37.pyc,,
caffe2/python/__pycache__/test_util.cpython-37.pyc,,
caffe2/python/__pycache__/text_file_reader.cpython-37.pyc,,
caffe2/python/__pycache__/timeout_guard.cpython-37.pyc,,
caffe2/python/__pycache__/toy_regression_test.cpython-37.pyc,,
caffe2/python/__pycache__/transformations.cpython-37.pyc,,
caffe2/python/__pycache__/transformations_test.cpython-37.pyc,,
caffe2/python/__pycache__/tt_core.cpython-37.pyc,,
caffe2/python/__pycache__/tt_core_test.cpython-37.pyc,,
caffe2/python/__pycache__/utils.cpython-37.pyc,,
caffe2/python/__pycache__/utils_test.cpython-37.pyc,,
caffe2/python/__pycache__/visualize.cpython-37.pyc,,
caffe2/python/__pycache__/workspace.cpython-37.pyc,,
caffe2/python/__pycache__/workspace_test.cpython-37.pyc,,
caffe2/python/_import_c_extension.py,sha256=5LLqFM-exm6xC1G2joNd03MlyyEEX3K-2wZUZgazMsg,2831
caffe2/python/allcompare_test.py,sha256=FaVPxJXTQ4cPE1EhYTj-gX5lti8baTgOW0NibjZcodg,2254
caffe2/python/attention.py,sha256=rk0O1ljv6UouwnwM8MbW-Ue1xx13VXZ3nhDj1P3qNd8,12359
caffe2/python/benchmark_generator.py,sha256=IHDio-s5uSVvIclG1u-rSXDZvsuEUYgdv35-glArVJY,4911
caffe2/python/binarysize.py,sha256=6ar4f8bkTNNT9FX57OnKuJx8OXrWJxd1Wl9TIVpQ_Zc,5521
caffe2/python/brew.py,sha256=fax9DFtkrzr9BL6FM6lYF86mzfDa1bRq9tJMjj-4k5A,4338
caffe2/python/brew_test.py,sha256=VHMPY56nd7sbmrsSmHyIJvsrjO5ZTO_-Nx-JPboQEZo,11739
caffe2/python/build.py,sha256=BkSr9kp_EqK2xNo2n2LgtFjSD9YNyNO2Qln976Y-Zs4,153
caffe2/python/cached_reader.py,sha256=EC2yrsB2VV0eT46Mh258XVQiBdaUcIm0O_Yb9tvvKwg,4394
caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so,sha256=fkCmoN125Nim4fw6tNWhQcb8q3brNgBqLZrhT52p39s,1771920
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=hPshXbYsont4FHe19Aqrn4o5UIm2i9okf--JwWcgDQA,32040
caffe2/python/checkpoint_test.py,sha256=xb8L61iF_U-4fjrcIfRrcGcLwc-9cytq6YTqPCD0bh4,13405
caffe2/python/cnn.py,sha256=AL5Gt-eBtagClLTc-1-FjpWg_pRnGsbhUocG8lrGUyg,7626
caffe2/python/compatibility.py,sha256=1GQ9EmAUKJ9_Fz_GW0lFBu0Ku8YfJTl_Zzhs6McV6WQ,164
caffe2/python/context.py,sha256=XTiyVQQ3NerIEVtzrr807RLy_1HfkzMqigA06CvKB34,3261
caffe2/python/context_test.py,sha256=UXgpCkGh1eF10Et_RJEaEZHGWQvt37KnGdsBZG3NvHE,903
caffe2/python/control.py,sha256=mPC27PKjNtj_gVqvuN9NOzKDOiNa2deAPMKoqUFoDLo,19309
caffe2/python/control_ops_grad.py,sha256=NVBoiLy2EjFRwp_9ZSX1JwDcURqWnPD3Ig9vm29a3IA,28893
caffe2/python/control_ops_grad_test.py,sha256=cyV5cAg2J6iIxVElDEQbDqFp948uvibmJjAa97C0J3M,1752
caffe2/python/control_ops_util.py,sha256=aJuGljuZCmf5F38AbcXFDLjFzwyj8DxPx3AMiafNh_M,10863
caffe2/python/control_test.py,sha256=cvN1hHkdZXrBcKU9zCvBqAsMlApWGo2m7Ceg2EO1rXs,12276
caffe2/python/convert.py,sha256=ugu6d9nKo54feg9aXPHeBg91yvW-ZIrNNwQYGelf0z8,154
caffe2/python/convert_test.py,sha256=n30flhqiLVaxcJjPJQ1w0cRVE0s83HGgLVurmJkVN60,276
caffe2/python/convnet_benchmarks.py,sha256=LD5JP4rZ2FazN5olcY6hJXnfCD0knAN1yuJKC_Mxkhk,20533
caffe2/python/convnet_benchmarks_test.py,sha256=WbrFWANBSAL64vnzmOR1upGuUqmUsVrQ-wUTDaZlPUo,839
caffe2/python/core.py,sha256=Bg9VxoUbF3bxmwpIlRrP4ncRFJ1VAS5ewrwzq8Ley1c,118004
caffe2/python/core_gradients_test.py,sha256=wedcoHVDt0YZhXjR6NDJslndyb6cWWpr9n7KUozKSOw,38067
caffe2/python/core_test.py,sha256=bepiiH8VU4OKWOPL6cLMQ7gH4ttDimudzgUOwSj_YtI,45482
caffe2/python/crf.py,sha256=vqE5-TiFeOe4ECeT5xtlJfBr1zczl-I9v3R-qapYCSQ,13250
caffe2/python/crf_predict.py,sha256=Yu-X8PCZrkOfNu0OPcCw5mXqaSHcGnf4SyYrrOQw6cs,1159
caffe2/python/crf_viterbi_test.py,sha256=EIwmStU9xZHiE0ZoQNJTdS-u-ZdFE96utVYtTmwedS0,1663
caffe2/python/data_parallel_model.py,sha256=b0Dkp5HpRJosL-r9bCwun8tlbb12OQ_K9Ungv14D2Yg,83105
caffe2/python/data_parallel_model_test.py,sha256=VnrC0MSVL7z43-Lbik-HlrDQklfor6m1mjcHcevujOg,56059
caffe2/python/data_workers.py,sha256=Yc8Txvo-KaoUzjhCixfdhP7g4S83LYRC9INGUyJRAek,15997
caffe2/python/data_workers_test.py,sha256=sbFsD6sA69t3BqYCZlHwB9811nSm7U2TNzJgx3ZZxEw,6561
caffe2/python/dataio.py,sha256=PTeoCaM-pHjfjhamzkKPyTvQG8ZjlJYNm_N4eXi2Ba0,23532
caffe2/python/dataio_test.py,sha256=SqSSkuk-2GtLc7-radioPGfs0PXgRwLwh_oDiGVHYy8,17599
caffe2/python/dataset.py,sha256=PhAzRAHW9cEgOARFhNDVU8RSdF2iM1HBEu0q-OzvjnE,12886
caffe2/python/db_file_reader.py,sha256=OHCPrj5uHcYdRQGvMBjY3xiMxCsbyw7dz82FOEgEXh8,6600
caffe2/python/db_test.py,sha256=uWQq201rtbRlNx6wtyIr_ZTs6xBm-4w_0zNA4ilA8g8,1110
caffe2/python/device_checker.py,sha256=YHhqy2EmNCm5mIngw6NF7xnTLbRR1Y5cKDHSk4P3wP0,5157
caffe2/python/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/docs/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/docs/__pycache__/formatter.cpython-37.pyc,,
caffe2/python/docs/__pycache__/generator.cpython-37.pyc,,
caffe2/python/docs/__pycache__/github.cpython-37.pyc,,
caffe2/python/docs/__pycache__/parser.cpython-37.pyc,,
caffe2/python/docs/formatter.py,sha256=K836Ux07LVc2JXxIHHbr-p_YXYp3QQu5eS9TN8T59hI,2874
caffe2/python/docs/generator.py,sha256=TCV5lvbzFX7wDR9Ycs6tVaclFAunu-oCk-DyazzEMbM,7250
caffe2/python/docs/github.py,sha256=TzUq6VK3U7Ul4rlQbsmJEA7YyzY3bIN7AG9siSnT3eI,4054
caffe2/python/docs/parser.py,sha256=me4PeR9f5j47ahR1ygcQAk_mx0uBsE7TD0ZPThSVGSA,2920
caffe2/python/dyndep.py,sha256=Ggw1PXqAwrSiFdHxuyAKglFtuD2aEsUWgOc7NJh_h6M,1533
caffe2/python/embedding_generation_benchmark.py,sha256=ggC1YqHY6bXV9hWTJ6KbTtl8OoaZj9-4sRpsRn0S248,5256
caffe2/python/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/examples/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/examples/__pycache__/char_rnn.cpython-37.pyc,,
caffe2/python/examples/__pycache__/imagenet_trainer.cpython-37.pyc,,
caffe2/python/examples/__pycache__/lmdb_create_example.cpython-37.pyc,,
caffe2/python/examples/__pycache__/resnet50_trainer.cpython-37.pyc,,
caffe2/python/examples/char_rnn.py,sha256=PQ9JuLg8hqBJe7PqCeLEQzJtcvrqB1noHw9Ff1W3mnc,9823
caffe2/python/examples/imagenet_trainer.py,sha256=D8KGjJxAZSbVN9JTnLrXzrKcVT5GQwAL7GsT21os0Hw,27310
caffe2/python/examples/lmdb_create_example.py,sha256=DhOfL4LWTPcFp86qAUKu7hoJqekMYD9rvxq1elgxeJg,3036
caffe2/python/examples/resnet50_trainer.py,sha256=D8KGjJxAZSbVN9JTnLrXzrKcVT5GQwAL7GsT21os0Hw,27310
caffe2/python/experiment_util.py,sha256=qYbwXqgL6Fj0g6jyumeWhEQpbzgp-qR3iWMwRTc3nUc,3636
caffe2/python/extension_loader.py,sha256=olmLIoz6c9u0hVWLB6wSy4epelSAyyvVoWbB5Mbaei4,744
caffe2/python/fakefp16_transform_lib.py,sha256=oxz2OA1mPmGXybohJwKxCTazmWAou6eCsc5JnRNYk_M,322
caffe2/python/fakelowp/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/fakelowp/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/fakelowp/__pycache__/init_shared_libs.cpython-37.pyc,,
caffe2/python/fakelowp/__pycache__/test_utils.cpython-37.pyc,,
caffe2/python/fakelowp/init_shared_libs.py,sha256=4tNVEwYWuBEtpll6YlslC4KwSo5WSrDnTWAcyy4wrW0,192
caffe2/python/fakelowp/test_utils.py,sha256=wEoARveNgQVK8WPIMCOTM3v4tHajSOr-cE8hh5ky-Rw,1631
caffe2/python/filler_test.py,sha256=6uMccNyq97rzjpD3v3okbXTPuRAMGo9f7GAdBCjgcpg,748
caffe2/python/functional.py,sha256=EZRnLdWDFriuw9DAH0IA-2LTC2g5NwN7HzrcoeLdeCI,4415
caffe2/python/functional_test.py,sha256=VFq4MPv9DlbR9gYeiKa8crC9p9PwIgBV7KtrcyHcHmY,4204
caffe2/python/fused_8bit_rowwise_conversion_ops_test.py,sha256=7bH5tpg2xUL8KgF-_7T40F6w6ZVLzHyMzedz8IoJGOA,3943
caffe2/python/gradient_check_test.py,sha256=nl6ZrgFrAb6FaLax06gUrVloYPpH-ahb-8chP5-DP_I,20638
caffe2/python/gradient_checker.py,sha256=Lt9CyK9ko8Aph49oYNPEMjMuqKA5-ZM75ifV-_Dj4rs,14666
caffe2/python/gru_cell.py,sha256=_GIYE7_a6KYrrB-HgKOHqXzxCRI3G3WLnzoVF3sGr6c,5129
caffe2/python/helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/helpers/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/algebra.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/arg_scope.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/array_helpers.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/control_ops.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/conv.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/db_input.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/dropout.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/elementwise_linear.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/fc.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/nonlinearity.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/normalization.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/pooling.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/tools.cpython-37.pyc,,
caffe2/python/helpers/__pycache__/train.cpython-37.pyc,,
caffe2/python/helpers/algebra.py,sha256=cfE6rcZGclfcEPjVw2aGYBHiRRBXwS3hJkI9Kth81pc,613
caffe2/python/helpers/arg_scope.py,sha256=wKcyKHPeAaRIr1Vs3UUNvbRXY1EP6nybjoHRVOMeg4M,1114
caffe2/python/helpers/array_helpers.py,sha256=OU55HENoh8wTZNyaZ5yQhqtwePpDdb6AI1odgg8jOoI,648
caffe2/python/helpers/control_ops.py,sha256=rLYPWUiiUu50mnPOFlThT7_vsrk0xwMkebZtC7mhhOc,625
caffe2/python/helpers/conv.py,sha256=eZaOVslUE88CpgaE0UNJISddY9aactMb3rPdzq8_aAk,10396
caffe2/python/helpers/db_input.py,sha256=DLbg282BFjwC6569SG4PUphoX1x3h-v1vxef065Dm88,381
caffe2/python/helpers/dropout.py,sha256=Q2UOejLwIuyGykpzGwyZho91x6COcqrIp4Xa3mNIgIY,412
caffe2/python/helpers/elementwise_linear.py,sha256=3ECnIucrciL7lCj-bwpphbt3Fk9zM6dMq1TosAnzN_M,1385
caffe2/python/helpers/fc.py,sha256=iipmLTebMDd3zpAMpbT0zqK02c24CMM7qM5h-OUgVH4,6405
caffe2/python/helpers/nonlinearity.py,sha256=9hRof2I__2U9lOi8vG_ktps_17y-0jX6XDDGih-yH1A,1145
caffe2/python/helpers/normalization.py,sha256=FAFsh5HE3YeEWDULgoHQaHWOBg9TEuDUK6xxIUmvOMk,10891
caffe2/python/helpers/pooling.py,sha256=mFwmC3kA-jA5BaZSGypQtg-j95ReDZy-BEJYIFJcG5A,924
caffe2/python/helpers/tools.py,sha256=3HIHNWZ7gfr_Me6tK3E0WNNQMZfJitfwPND1dW9praY,1089
caffe2/python/helpers/train.py,sha256=6BW-oIVizQLBH93_QyDGCw2pL6Pwmuzp0rPX31YO7Xw,2192
caffe2/python/hip_test_util.py,sha256=IZnIjxzVbd04QnN5kDWNbM9OoLxGAXmy46iRtnB1arc,405
caffe2/python/hsm_util.py,sha256=a3ByKXZscQy9N_xydDiTUgujWbNugXOxVInHBd43tiM,2259
caffe2/python/hypothesis_test.py,sha256=YSFnZtngWjm-440LDQh3Nlm_AF5ory773BPDHarJhHE,104331
caffe2/python/hypothesis_test_util.py,sha256=4EpIWo_Tv1IsFO9phBLLt3ilT1YItbNeEJ6obsrAOj4,26881
caffe2/python/ideep/LRN_op_test.py,sha256=v6lCZYmvVQ_llYBwr0d5rLRq29kTUYyhJPzTbXY_qNc,1195
caffe2/python/ideep/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/ideep/__pycache__/LRN_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/adam_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/blobs_queue_db_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/channel_shuffle_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/concat_split_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/conv_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/conv_transpose_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/convfusion_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/copy_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/dropout_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/elementwise_sum_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/expanddims_squeeze_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/fc_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/leaky_relu_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/moment_sgd_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/operator_fallback_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/order_switch_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/pool_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/pre_convert_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/relu_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/reshape_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/shape_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/sigmoid_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/softmax_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/spatial_bn_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/test_ideep_net.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/transform_ideep_net.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/transpose_op_test.cpython-37.pyc,,
caffe2/python/ideep/__pycache__/weightedsum_op_test.cpython-37.pyc,,
caffe2/python/ideep/adam_op_test.py,sha256=1GolsJCMq0zTr4x6D9b6tMK9FXFWPXYOBX0pQlNP8Fw,3212
caffe2/python/ideep/blobs_queue_db_test.py,sha256=2c4dSDIC6ksH4ABIh7vsTpKP3B81ywx_vG2lD-1B-mg,4045
caffe2/python/ideep/channel_shuffle_op_test.py,sha256=csBDB2fznr1rbw0ktPLDbWWZpAd8Y-RgyL6pEL7aZ8I,1286
caffe2/python/ideep/concat_split_op_test.py,sha256=BoaHjfYPNfEN_4Sdrpvy_YCDozaKn8B4eO67zptn00Q,5532
caffe2/python/ideep/conv_op_test.py,sha256=xy--Y7QQdacdOU35Q-SsRipPkbwYORMyo7vbSEx4Ims,5677
caffe2/python/ideep/conv_transpose_test.py,sha256=MBMNnRPjntkFGqxkIqFZftcPOLF3WH-vl7YNqAIhoKk,2595
caffe2/python/ideep/convfusion_op_test.py,sha256=a3ekbfvkZ_w2D4aH8jY0r7cScD6qtFh8pK5WfiDQPI4,31941
caffe2/python/ideep/copy_op_test.py,sha256=LYmJJ3P9lqkBMQhBWY53ur0H_71GrtHe_IDpX6Q_BtU,3074
caffe2/python/ideep/dropout_op_test.py,sha256=wjElKSeeuyXiXKj-Y3s958QRtFcUMWFaAwQlKynZtes,2112
caffe2/python/ideep/elementwise_sum_op_test.py,sha256=-6BAvXfRGESQp6cb3upYT6rtIp2VMxhKVh_qDn-5vbo,6317
caffe2/python/ideep/expanddims_squeeze_op_test.py,sha256=JDpiClZXXKB8UN6kIrYCZsCJb-_waFoqscuOVLmVCAs,4285
caffe2/python/ideep/fc_op_test.py,sha256=MPEALWRqwAWQ-MRkKoIiidPT6c4fTPDBJ0JtCz2woRc,11745
caffe2/python/ideep/leaky_relu_op_test.py,sha256=sZOymPR00KMregDX3wWESG_SbOSCxoCJdFfCp4rWE2E,2854
caffe2/python/ideep/moment_sgd_op_test.py,sha256=ISm-oMjFjyoS5D_-hWq3vmXJMoWQTDTClZR91DAYDcU,1777
caffe2/python/ideep/operator_fallback_op_test.py,sha256=WKYnAbnwO5wzfG_IdOpv-sQQ26G3QyffJ6C6Z2C3d3c,3450
caffe2/python/ideep/order_switch_op_test.py,sha256=pBZktmR4qbdKpfoYLBGrbplVoQMQ2JqkTPWSMkcoP_s,2335
caffe2/python/ideep/pool_op_test.py,sha256=VTdr1A0rIugqWcAdNC62hm-cEF9gYgaJojaCsVwSeUc,4296
caffe2/python/ideep/pre_convert_test.py,sha256=Eg4TZZPWdNDBy5aQLP7H3kc6WQ-m5_rW_Kdx4cYs74M,4115
caffe2/python/ideep/relu_op_test.py,sha256=nbn7xZKfUXdb-PmrdjVde4wZluE-29KHQ3HrcikfPu4,3705
caffe2/python/ideep/reshape_op_test.py,sha256=rmVDyvTcQs5YZelI2SApbiS2OJrPgb6g1H5IjlS2SrQ,5919
caffe2/python/ideep/shape_op_test.py,sha256=N0D57vXL0EJj0Ah1bmWVodrKd_N61urscDLQn77aQfQ,2667
caffe2/python/ideep/sigmoid_op_test.py,sha256=6g-MdRTgUsPs_IY5k7DfuLM5CrSOoOrCIB4_dDohvVw,775
caffe2/python/ideep/softmax_op_test.py,sha256=VS7Noq2r9Sgu1rwcwzg7NQNFsQqgo4TpnfKHbSHk2ag,932
caffe2/python/ideep/spatial_bn_op_test.py,sha256=mH-SQev-IjPJf4PAGpoEIplmmCU0scIZicbDfZXX6Fo,5294
caffe2/python/ideep/test_ideep_net.py,sha256=gnRESFTCcL2LCdGd9jo278Bh1HZ95OMsvWb8Jl0604I,4109
caffe2/python/ideep/transform_ideep_net.py,sha256=hSDl3Rwm7C_FEv95w-bNcBs27ZHjP0G4tOGElmmCALo,11698
caffe2/python/ideep/transpose_op_test.py,sha256=f5fCovl3IJ8pcewjNxGDgMBW8pjKzvwPBUNOPVG6BZk,1320
caffe2/python/ideep/weightedsum_op_test.py,sha256=4RzD1g0gGUqMLjhjf1cwuqXBUpJMg0ihEfARMw2En7I,1560
caffe2/python/ideep_test_util.py,sha256=iiuzijLJ4QBxmjyrX5QVcKFNfoZiCXaSlsxTvP95xxg,1034
caffe2/python/layer_model_helper.py,sha256=IVI8vguYlrzUNToB6NCNtO0XKv2098R6n26X62MU7-o,29439
caffe2/python/layer_model_instantiator.py,sha256=ZYVLodyTYZXig2qgirkTpzjUpvIY5ZFfRVkpotwJRlY,3935
caffe2/python/layer_parameter_sharing_test.py,sha256=djeRujjVRMRFZIWhHoa2o1VqJbLekalQWl0S0SnF4xY,9164
caffe2/python/layer_test_util.py,sha256=e0pdpff7JiTQkP_pGYPwOnZPiGjS_urxJI1YylQL5rc,4776
caffe2/python/layers/__init__.py,sha256=V1OdXsl7TC3WSplIzl6I-4n5HhZmmFpU4rcH6QFSE8o,943
caffe2/python/layers/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/layers/__pycache__/adaptive_weight.cpython-37.pyc,,
caffe2/python/layers/__pycache__/add_bias.cpython-37.pyc,,
caffe2/python/layers/__pycache__/arc_cosine_feature_map.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_huber_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_lr_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_mse_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_normalization.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_sigmoid_cross_entropy_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/batch_softmax_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/blob_weighted_sum.cpython-37.pyc,,
caffe2/python/layers/__pycache__/bpr_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/bucket_weighted.cpython-37.pyc,,
caffe2/python/layers/__pycache__/build_index.cpython-37.pyc,,
caffe2/python/layers/__pycache__/concat.cpython-37.pyc,,
caffe2/python/layers/__pycache__/constant_weight.cpython-37.pyc,,
caffe2/python/layers/__pycache__/conv.cpython-37.pyc,,
caffe2/python/layers/__pycache__/dropout.cpython-37.pyc,,
caffe2/python/layers/__pycache__/fc.cpython-37.pyc,,
caffe2/python/layers/__pycache__/fc_with_bootstrap.cpython-37.pyc,,
caffe2/python/layers/__pycache__/fc_without_bias.cpython-37.pyc,,
caffe2/python/layers/__pycache__/feature_sparse_to_dense.cpython-37.pyc,,
caffe2/python/layers/__pycache__/functional.cpython-37.pyc,,
caffe2/python/layers/__pycache__/gather_record.cpython-37.pyc,,
caffe2/python/layers/__pycache__/homotopy_weight.cpython-37.pyc,,
caffe2/python/layers/__pycache__/label_smooth.cpython-37.pyc,,
caffe2/python/layers/__pycache__/last_n_window_collector.cpython-37.pyc,,
caffe2/python/layers/__pycache__/layer_normalization.cpython-37.pyc,,
caffe2/python/layers/__pycache__/layers.cpython-37.pyc,,
caffe2/python/layers/__pycache__/margin_rank_loss.cpython-37.pyc,,
caffe2/python/layers/__pycache__/merge_id_lists.cpython-37.pyc,,
caffe2/python/layers/__pycache__/pairwise_similarity.cpython-37.pyc,,
caffe2/python/layers/__pycache__/position_weighted.cpython-37.pyc,,
caffe2/python/layers/__pycache__/random_fourier_features.cpython-37.pyc,,
caffe2/python/layers/__pycache__/reservoir_sampling.cpython-37.pyc,,
caffe2/python/layers/__pycache__/sampling_train.cpython-37.pyc,,
caffe2/python/layers/__pycache__/sampling_trainable_mixin.cpython-37.pyc,,
caffe2/python/layers/__pycache__/select_record_by_context.cpython-37.pyc,,
caffe2/python/layers/__pycache__/semi_random_features.cpython-37.pyc,,
caffe2/python/layers/__pycache__/sparse_dropout_with_replacement.cpython-37.pyc,,
caffe2/python/layers/__pycache__/sparse_feature_hash.cpython-37.pyc,,
caffe2/python/layers/__pycache__/sparse_lookup.cpython-37.pyc,,
caffe2/python/layers/__pycache__/split.cpython-37.pyc,,
caffe2/python/layers/__pycache__/tags.cpython-37.pyc,,
caffe2/python/layers/__pycache__/uniform_sampling.cpython-37.pyc,,
caffe2/python/layers/adaptive_weight.py,sha256=j3xTR8JM0KeGrYLxENK3-KcA-xWEGDYgBubx_-AHZfc,5687
caffe2/python/layers/add_bias.py,sha256=IqJlvMAG7xOf5HO3S8lOJWwOnVPJbxBDbLLiuhW4IbA,1396
caffe2/python/layers/arc_cosine_feature_map.py,sha256=fGXh41OQfePpkO3Ar7rNDUw0eOLMzcf2AdvIHrbeD_g,7345
caffe2/python/layers/batch_huber_loss.py,sha256=hxu-bWnwd_RXY_612i9TjedPEUQU29BJbMCofc8_RNw,3523
caffe2/python/layers/batch_lr_loss.py,sha256=denLDVg-cIoggMP_OWpQlquqFsBt6iGHZQRMMWz8N8w,11577
caffe2/python/layers/batch_mse_loss.py,sha256=wSDVKu-N8z6lzrKBALWdk17FECO9IY0Dbbgj4ITuYFU,2333
caffe2/python/layers/batch_normalization.py,sha256=ou8ysREK8OFS_CJifdKGl7H_jVSnN6V_saI7_wIb6zE,3823
caffe2/python/layers/batch_sigmoid_cross_entropy_loss.py,sha256=eyuQd5njuQJcp-TtV25UJ49d708m11tBTcjgMaY5AG0,1483
caffe2/python/layers/batch_softmax_loss.py,sha256=W7gEOqLFb25cvQhOCiYVbl55Tk9C96q1_dFi8zHKKXM,4580
caffe2/python/layers/blob_weighted_sum.py,sha256=-hCVfjlM_na630B18PC3pYu6oUbg1QzVkMO8I-SOi4c,2219
caffe2/python/layers/bpr_loss.py,sha256=CohZJahWcd4Rj4CG9Kyklc7Ml8aeQGuC0C6JINdNiCE,1499
caffe2/python/layers/bucket_weighted.py,sha256=xpJ5s3iJ9ovgvMU4FTyJeuL6jPtY7oMuBtyBa7cCnDU,2355
caffe2/python/layers/build_index.py,sha256=JOlp0lePhkVkzYRZZa20u2yiQQMgGE0lS0W_49wmcZw,1937
caffe2/python/layers/concat.py,sha256=AOtH61nWSEhwaMWWGJxQgdwhdh6ghl5JZeTnUyqlo1M,4849
caffe2/python/layers/constant_weight.py,sha256=_qKmuUBbnCF4k4vVld2wcpSloBxJBWhCeptBC021Jt4,1208
caffe2/python/layers/conv.py,sha256=o-eKOHPqoLeV-tBZ6XchlhixR2WIS7bwgZqhaUphARw,5050
caffe2/python/layers/dropout.py,sha256=PKuDEWOvs_8FmMLwW51dZOOVx3d4XV8eVtxiIHE3FLs,1410
caffe2/python/layers/fc.py,sha256=sOysPXT_U4LMEj_synPCdFfWRgy7XSNhwvCpiC2uVhc,9296
caffe2/python/layers/fc_with_bootstrap.py,sha256=vwP1-6fhX88_Gz1tD8EP1KSTObuxaRA7GLuFC0cXjtM,12788
caffe2/python/layers/fc_without_bias.py,sha256=udpHs-YCkJk6FoQa_ALlKxy2zJHpqfRz0efQSvNlJBo,1954
caffe2/python/layers/feature_sparse_to_dense.py,sha256=F7T4DQ6iVrJCRXDfdmNtwQsXmq-kLcPxPq7Zdgf7IV0,14361
caffe2/python/layers/functional.py,sha256=idbD94WRzgH8xBPZkVwNatB3nWRUA00rSq02TQKgyPc,4900
caffe2/python/layers/gather_record.py,sha256=RfupjzDqha18onj1eBcYbTIgolDiQfaxAgkS1C5A7MA,3260
caffe2/python/layers/homotopy_weight.py,sha256=77MefQsE8afG-PwPV2kkHGIow4Sq1H_WaXZSI2KCgMw,4306
caffe2/python/layers/label_smooth.py,sha256=dNKH-JGRi7I975uH3tTABfUwF6JlWpeS6DhadVEtuTk,3507
caffe2/python/layers/last_n_window_collector.py,sha256=w0vqL1Gahh4Y63wIwA3hEJpf__d-cDcS5ubvXuw4hn8,2396
caffe2/python/layers/layer_normalization.py,sha256=rJfFjI8Md-fYJcUqZT2fyMBFH7f7nfy0ORksF6Y3xzU,4291
caffe2/python/layers/layers.py,sha256=b7fFS4uxQh39DCRqLRirhD8iaCpoe_E8gupZpJtl8Fo,17412
caffe2/python/layers/margin_rank_loss.py,sha256=_GtSrm8pQxNXSA25rUS1ClrqBDUun7kHosNBkQcmZVE,1951
caffe2/python/layers/merge_id_lists.py,sha256=emBEnZtVjMoSrUyAJx7BQFM1T8nprV2EkV2xxIKUQTY,1505
caffe2/python/layers/pairwise_similarity.py,sha256=rbiZXtAfG-5slq0U-LY4nI4WkBqNiPsfLyMZaDpHuH0,3549
caffe2/python/layers/position_weighted.py,sha256=C92qUTzhuIsaQ5pJL2AyzKgYlFjM2eNMuHEbztc8-Co,2066
caffe2/python/layers/random_fourier_features.py,sha256=h1XT-2e9RqAewt6ILEk4Nje889TeWEytGPlG7IQt0QU,3187
caffe2/python/layers/reservoir_sampling.py,sha256=CxG4VBXW4qWl4-pq379qnuH7AgwfFvEBl1pUwI6h53E,3013
caffe2/python/layers/sampling_train.py,sha256=X3_FcyDnithPpTWDSPfsh3QBXvK_Gi1BjusM6KiEtRc,2210
caffe2/python/layers/sampling_trainable_mixin.py,sha256=f8cmRiUxhxL_LmHwMdu9zC22-uVBnULL4guEOinsdKg,1395
caffe2/python/layers/select_record_by_context.py,sha256=i1qPaO8o8PVw3MLxOd0RzuoEZuKdKVkuhNNIP3o32_Q,2381
caffe2/python/layers/semi_random_features.py,sha256=G2IfYro1uvjhajRG4z97Lf4YMyp_eVfqDdbh26BpDBY,5809
caffe2/python/layers/sparse_dropout_with_replacement.py,sha256=rczuJBzm_PnIqUU2JXWEkDhvDIbDnE3tHBDiyCvcRBc,3943
caffe2/python/layers/sparse_feature_hash.py,sha256=igX3wTrN9Peudapl1Abcps6fFz5BuQ5ZfIIRpuYkoas,4618
caffe2/python/layers/sparse_lookup.py,sha256=UHWjWszJmF_NQZZpG8yjjywYjauRli4RrpVd7WXCBhk,22170
caffe2/python/layers/split.py,sha256=E-PRJlcVJ-RDQRWFbK9wBkWcyt3la7-_RqsXcrJotJs,2257
caffe2/python/layers/tags.py,sha256=8FQh2UCPzbbyWsFUr6seU7i7DmzbNnXudNLjJnWWG2o,3968
caffe2/python/layers/uniform_sampling.py,sha256=HiUHOd9oWqp7nObhtKNWVoqo2pPgGmjnd22KGJVilTg,2779
caffe2/python/layers_test.py,sha256=xh4jr-SsA9AhUq8ebItoIXzf-adYZoBgNR4ekx6tNI0,91430
caffe2/python/lazy.py,sha256=s2BnlR7wGJ9Rc_Av_lAhr906LRT1jRLRpHWgADzdqsw,277
caffe2/python/lazy_dyndep.py,sha256=XjAX6emncsHvq0B76DYpgY6mVat-Q3ksHfCXHcQV4s8,2562
caffe2/python/lazy_dyndep_test.py,sha256=3p5eIbWB91z7o7ImAvgkMcaLATi3EZ9h_b0ldl94iHk,3914
caffe2/python/lengths_reducer_fused_8bit_rowwise_ops_test.py,sha256=7bW55HsBqH5ggBs1Vv4Lifw_AziLWYUXUE6sVyVQAEU,7575
caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py,sha256=-cm6dYG--lx2D5f7BnXB6lNIScYI6tiDgxplzNwZXUs,5710
caffe2/python/lstm_benchmark.py,sha256=p6eWmKFqATHB72J6nV4WsH61h7pk8MFfas8Bb1AmUfU,10649
caffe2/python/memonger.py,sha256=RuykSGFBq-GOq1xRG4Fx60gnLmXwJ2dhyQ8pnY03m_c,34038
caffe2/python/memonger_test.py,sha256=7tIoK3VbXqGPa1s4vgf096pw5U_G2iItxVXtlchJm00,33521
caffe2/python/mint/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mint/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/mint/__pycache__/app.cpython-37.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-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_speed_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_concat_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_conv_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_copy_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_add_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_sum_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_speed_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_fill_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_speed_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_relu_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_speed_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_sigmoid_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_speed_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/mkl_squeeze_op_test.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph.cpython-37.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph_test.cpython-37.pyc,,
caffe2/python/mkl/mkl_LRN_op_test.py,sha256=xpRvnq1WxQjgARWymnDd5DczUj7iyEHC26oPsSDE44I,1170
caffe2/python/mkl/mkl_LRN_speed_test.py,sha256=d3vocvC0bTcfZkHGm4U58EhftyeBQNjF_aGfrSk2CV8,3187
caffe2/python/mkl/mkl_concat_op_test.py,sha256=xU8zykOK1uzpTuTK1FiuTOpwboFXyh3jcLSqUa2vphQ,1173
caffe2/python/mkl/mkl_conv_op_test.py,sha256=oUcbyPigqZsfcX7mPorirbnxFoyOBX9QbyOZvqMae7I,1694
caffe2/python/mkl/mkl_copy_op_test.py,sha256=fXAFBrWQXU3_KYSzK72OEFQP3zg8u8IDl-IM5z1BZS4,2149
caffe2/python/mkl/mkl_elementwise_add_op_test.py,sha256=1SBPAmHve42V7McOlpneeDcNgrXu6K27242H8VhKLUA,1201
caffe2/python/mkl/mkl_elementwise_sum_op_test.py,sha256=tRgE5DknkQ1GlkNagQhi1523va8doUetqxzjMxWBVNc,1334
caffe2/python/mkl/mkl_fc_op_test.py,sha256=Sij1VONsU6scnjIR3fIdX6SN7xbqNLMbe_3u5Cbd6zs,937
caffe2/python/mkl/mkl_fc_speed_test.py,sha256=3alyLYOLxMwM9kzLei4NhrBKu71ex2N8xGLZfRapbXE,3854
caffe2/python/mkl/mkl_fill_op_test.py,sha256=73jxcYBs1584fqjJz4QZGOGfONYmdsZAkUBnn9lo2ug,1048
caffe2/python/mkl/mkl_pool_op_test.py,sha256=T200uLx4RbBPVQz4A2-vfL2jiiSZyk8G51SMIjL37JU,1332
caffe2/python/mkl/mkl_pool_speed_test.py,sha256=KD4MUTIOi1ICOE1i-78c1Yk0nHSfU06UvAGclBSmpKc,4215
caffe2/python/mkl/mkl_relu_op_test.py,sha256=4eEqzdoeOujGwMrGde7sDtX5uR8nwzpiEF2UjzE3oqo,988
caffe2/python/mkl/mkl_sbn_op_test.py,sha256=zRnrnORsI0tYnB0qif9OJF0y2otiyIN5lflM6JYKtQ8,3120
caffe2/python/mkl/mkl_sbn_speed_test.py,sha256=18z8KLSFMfNLAXORGgIYSWgiW2BwM_OThiFdMa-bviA,4605
caffe2/python/mkl/mkl_sigmoid_op_test.py,sha256=spu-rC0IaOS_VGD5Z1Gq_v3pSPFUXtnoO-sEFYtsVxo,833
caffe2/python/mkl/mkl_speed_test.py,sha256=T0RFsGSMisEIIZPMjRmjEb8QS-Z0K1sJaMrVAsoORvk,3084
caffe2/python/mkl/mkl_squeeze_op_test.py,sha256=1mXU8nMTTpWugYbCQuCqEJfwfEaDYvbks2yF54lbBHU,968
caffe2/python/mkl/rewrite_graph.py,sha256=A60EOBmfoLTzdHhWTvG924RHDYYu9LRiiF_NsC_x7RM,8479
caffe2/python/mkl/rewrite_graph_test.py,sha256=tPk9VzWHHgl3WdAjUcElMB-bASFsyIwtvWVPZmqQBzk,7889
caffe2/python/mkl_test_util.py,sha256=D65RmpxYPe_6-YzE5hfVbOPrJWyx_aAQMN0LEiEmOmQ,1142
caffe2/python/model_device_test.py,sha256=fMDsB0aT0eHYmbuO0CR2rXe4AdwsrtUrOSy9oebVa4U,4777
caffe2/python/model_helper.py,sha256=_DSCFtAwlNwJsDaRm8HsLzUogrWOd01sZvW0E_JHh2s,23516
caffe2/python/model_helper_test.py,sha256=c3f33gU_0_laNvDOjmCmY5pkP7KkgqQY-R6dN6_pAfE,2336
caffe2/python/modeling/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/modeling/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/initializers.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/initializers_test.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/net_modifier.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/parameter_info.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing.cpython-37.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing_test.cpython-37.pyc,,
caffe2/python/modeling/compute_histogram_for_blobs.py,sha256=N2sBNVvhsu9-5knZv5NzW8HBAikw6179_8EIuMTK8Aw,3508
caffe2/python/modeling/compute_histogram_for_blobs_test.py,sha256=90O4yRZ4tZVACbAJ4BRrJaq1-Fcsk20fus6rs3Nlbt0,4947
caffe2/python/modeling/compute_norm_for_blobs.py,sha256=PTQfDHMdPRNP7y83Xfw19V88NIp6KaBio_IVPkm5y9k,3642
caffe2/python/modeling/compute_norm_for_blobs_test.py,sha256=_JHgNtsHs4di76seRlar3fkVPFxttI1NCZhEZgOfaOo,7942
caffe2/python/modeling/compute_statistics_for_blobs.py,sha256=n-HL2xKVDCfjIKvnDGMki51ZNsRLSFGvyK9FVAc4BnE,1909
caffe2/python/modeling/compute_statistics_for_blobs_test.py,sha256=2RQ-Lol404i38iBdvRDazFmRQv4UZO9F_NqQHA8Idbg,2870
caffe2/python/modeling/get_entry_from_blobs.py,sha256=9RFBiaDNbagisCr2wqmfnbgq3jrF-N4Aop1lycOLzTw,3130
caffe2/python/modeling/get_entry_from_blobs_test.py,sha256=vRM3uXbIWehUn9HxMUCxv0nVdkU6E2eBsRDVzJDXFGA,3538
caffe2/python/modeling/gradient_clipping.py,sha256=M9jlXgq7yuNDOHdXDJv7pcrDONWzYvaZNmtr-8P4MWc,5766
caffe2/python/modeling/gradient_clipping_test.py,sha256=KAJnoy4jh4lpQgAOtDkt5yB2IN9hndriZD86OI8INZg,10016
caffe2/python/modeling/initializers.py,sha256=5wZq-kYyCk6KhL-oPovhcJ6LGqY9PyegcqXs7t03IRs,5403
caffe2/python/modeling/initializers_test.py,sha256=IpgYqBtr8SyalV1XJcyNvR3bSSIDTTTSORj9VsKQe3k,2106
caffe2/python/modeling/net_modifier.py,sha256=Xggke6XBC1Tdcfvdd8tqfbholc0RsNzrZ9E4wI6L72c,852
caffe2/python/modeling/parameter_info.py,sha256=iLpJD0J_5YycDznb28BPt2iDLkaXTrCw2QBmxIstA-g,1438
caffe2/python/modeling/parameter_sharing.py,sha256=J4P5DQbC3hYlk7j6iYNffbBE8unw6f4Y8_1pOJ103Vs,3848
caffe2/python/modeling/parameter_sharing_test.py,sha256=3WGkhuIWJmU0pVz3URYfS5eO_4_kXY4pirkLD6a-TFQ,7223
caffe2/python/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/models/__pycache__/__sym_init__.cpython-37.pyc,,
caffe2/python/models/__pycache__/download.cpython-37.pyc,,
caffe2/python/models/__pycache__/imagenet_trainer_test_utils.cpython-37.pyc,,
caffe2/python/models/__pycache__/resnet.cpython-37.pyc,,
caffe2/python/models/__pycache__/resnet_test.cpython-37.pyc,,
caffe2/python/models/__pycache__/shufflenet.cpython-37.pyc,,
caffe2/python/models/__pycache__/shufflenet_test.cpython-37.pyc,,
caffe2/python/models/__sym_init__.py,sha256=PyTJaBB9a-8KLbC3kyM5PtW_8MzR751SEKy653ZU8P0,494
caffe2/python/models/download.py,sha256=EQ78_d5eDIREJt8kDbMLpUARB1Pbn94mgaYZZfPNsYM,8193
caffe2/python/models/imagenet_trainer_test_utils.py,sha256=aj8K3mdxudj1lVauJCuiN1WrdVN0GPzV1jdd8c0TtNw,5755
caffe2/python/models/resnet.py,sha256=zswpB99r8z8tzXJYoWy3GF36eZENj9qqLL4sJQTQOB8,11972
caffe2/python/models/resnet_test.py,sha256=o2507lUJuviVxsF49UYY-vpwAFcRP5xUiwfuPvI0lHw,1924
caffe2/python/models/seq2seq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/seq2seq/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/beam_search.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_beam_search_test.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper_test.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_util.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/train.cpython-37.pyc,,
caffe2/python/models/seq2seq/__pycache__/translate.cpython-37.pyc,,
caffe2/python/models/seq2seq/beam_search.py,sha256=67zriSXKwNy1yG0H-sFTT-YOYzcJsThPNwJmfKqdJFU,17036
caffe2/python/models/seq2seq/seq2seq_beam_search_test.py,sha256=XhoFcpUinbeVrNIMtWDPeZdRF5YK4U9CBgiAzGQQxHg,6376
caffe2/python/models/seq2seq/seq2seq_model_helper.py,sha256=RmQwTWyLfAeCpr6GKYaa5FtibjDPU-CZ5EmL08FaTOc,2661
caffe2/python/models/seq2seq/seq2seq_model_helper_test.py,sha256=Cg7o-giTzO5ch9mMU-9eDAy5VybPFzJCQeHmcSRnyok,1838
caffe2/python/models/seq2seq/seq2seq_util.py,sha256=xqgfrk5uCq4aQn4WcSIdqxhXOseQlsCtQq2YA9iBfnc,20233
caffe2/python/models/seq2seq/train.py,sha256=o--19viSj-BAvGOG2CxEKlHjYWy9s13aXmQCArMpQRE,27518
caffe2/python/models/seq2seq/translate.py,sha256=30ipaTen1y773Ti3yam7pJDkPkAQ0mdNVw_rk7Fc1A4,24156
caffe2/python/models/shufflenet.py,sha256=LQnNY7YYo0YEgimKkUA0D78ZSQSUTcBzT_l4RJGDLmc,7832
caffe2/python/models/shufflenet_test.py,sha256=K8EtvC-cu0D2tyhRcVrdQLMwu9sdcd5sI5E_JrPUC3s,1972
caffe2/python/modifier_context.py,sha256=tJprBSAqhMfmZt35CGOvE1BAzWrJKtdrYi2fcazg0W0,1772
caffe2/python/muji.py,sha256=AD0Y4l8SX_uhu7LuGBRwgBvFu3d-cI6KuO0ioEiX7z4,8131
caffe2/python/muji_test.py,sha256=xQ9og0QFLvOmh0owiFselYLYMeO2VBqJkQofttKojfs,3058
caffe2/python/net_builder.py,sha256=AQgVu9sEWUUB56ZiMCJU3gMiSrJFqVhL3KJR1ssMQ48,27645
caffe2/python/net_builder_test.py,sha256=a7LJlpWXW00iGo6b286RqkRV6DVrVmt0XKKWmrlMe7M,11382
caffe2/python/net_drawer.py,sha256=0FBxQJI9E7H5VhB_s33DkGt9ROK7gO1nOqSEOvYwQXg,14264
caffe2/python/net_printer.py,sha256=55_ShE0n36hRldpjIl0ZZl5UVgwUgQNu7KnywBGUo5o,12704
caffe2/python/net_printer_test.py,sha256=TLOH6PPiomjvvuoXGPcDlV7zdJ8jrQxICE0HSoc-WH8,3190
caffe2/python/nomnigraph.py,sha256=dpcuCMx7czdF6zclH66wI9dseOyal5CBtMdV6BH_F8w,4216
caffe2/python/nomnigraph_test.py,sha256=_O7bLpw-cRtX8xSpdJQAZorYX7jhfndizBY3LwtpgyI,15438
caffe2/python/nomnigraph_transformations.py,sha256=hHCvBQWU932SmaKjQLus1795shGreConq6dmgmvpGgU,3787
caffe2/python/nomnigraph_transformations_test.py,sha256=wWgzCGPBC0x7kfIMoKyDWOZbo6BSMaFMeq3jovqBFy4,5767
caffe2/python/normalizer.py,sha256=PJh6UT-CbGxpy2CUDF_Ib7FmabDyHYR4jCj5zKtsmQ4,1411
caffe2/python/normalizer_context.py,sha256=B5JnFi3XXDRrsvAWh40NBsHZSo2GOG0MXQtHj5Dlj1c,1027
caffe2/python/normalizer_test.py,sha256=YRzxu-6Enb6jTV_zspKXLZq1Y1SAuQb8C8ghubhqH0c,487
caffe2/python/numa_benchmark.py,sha256=lRqNkMYiREW0vfS4-WexZaWpcCA2IBrUvvQq0KIkzy0,2230
caffe2/python/numa_test.py,sha256=1PLj4c8M0kviXnneNNroDK-uTFJNwVrXCmGNhu_vfXU,1663
caffe2/python/observer_test.py,sha256=eiPGZjOQ_ZXI1DPPcYAfsqWeG-_ScSgIn5T0BMqybZc,5316
caffe2/python/onnx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/backend.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/backend_cpp_rep.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/backend_rep.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/error.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/frontend.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/helper.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/onnxifi.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/test_onnxifi.cpython-37.pyc,,
caffe2/python/onnx/__pycache__/workspace.cpython-37.pyc,,
caffe2/python/onnx/backend.py,sha256=rzxa2C8vyYdSuvHSr9xpYCApbYdv4_69Txls_JUSqXc,40105
caffe2/python/onnx/backend_cpp_rep.py,sha256=rEJL6r4ci-rrUfPkIr4GtqSpVu14F6zpF8Fah3VL_R0,1863
caffe2/python/onnx/backend_rep.py,sha256=JsfrvUddZNZcNjmMZ24QGMEtpgtNnHxpZigtuE6bcw8,2830
caffe2/python/onnx/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/bin/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/onnx/bin/__pycache__/conversion.cpython-37.pyc,,
caffe2/python/onnx/bin/conversion.py,sha256=XaePhWuwF9m0aRjD9qqn8KI30-8m07mokDJ39AOtib0,2875
caffe2/python/onnx/error.py,sha256=rX7vsW0aWai6U6uXoCnQcXns0u6VqPQI-lIi43QPtbc,131
caffe2/python/onnx/frontend.py,sha256=JmlvUG8W6-KC4qk_umNkytE4Lko9y1zkV0Ubl2bmQM0,13051
caffe2/python/onnx/helper.py,sha256=wb1oglnRb86qspkVB93gPvW0QtCuVBBpAtRabXB8s2E,4215
caffe2/python/onnx/onnxifi.py,sha256=x1WKbN1SFAksmghFNfUYj9Pk6m3MyCq6qVCAWkIZYhI,2029
caffe2/python/onnx/test_onnxifi.py,sha256=a3oxuiEcUuaHlFTsB8MPyy7Jicqc4LfrHgUSGVgiK6U,7765
caffe2/python/onnx/tests/__init__.py,sha256=VFw4sJIt4Zc0-__eYnksN8Ku9qMhbPpHJEkXMWUiD30,4
caffe2/python/onnx/tests/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/c2_ref_test.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/conversion_test.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/helper_test.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/onnx_backend_test.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/ssa_test.cpython-37.pyc,,
caffe2/python/onnx/tests/__pycache__/test_utils.cpython-37.pyc,,
caffe2/python/onnx/tests/c2_ref_test.py,sha256=NEatiy9ToQoGS_KzuzLH8ij5-4KUdIaMu-BSvfm0PZ8,31645
caffe2/python/onnx/tests/conversion_test.py,sha256=8XRJ1TXUCSrzWR-jHDvpTeCRhMBH6t8aJ3Vjzli145U,15039
caffe2/python/onnx/tests/helper_test.py,sha256=4VgW0TtC5lbYs0SP-tD6-zuPWixlesXVN9wT94JNQpw,807
caffe2/python/onnx/tests/onnx_backend_test.py,sha256=2uE3_8Ga6XXXwKcGK2Vd1wwFPVBAT1xRkx8BaWlLnSw,7858
caffe2/python/onnx/tests/ssa_test.py,sha256=sIxDKK9TRlZSAaj51-KDwsnTSxHcT9GNtzhqgpPC5Ac,4036
caffe2/python/onnx/tests/test_utils.py,sha256=R7WmMLgKvGf8IQz7QEBujWLCQmlcLrtH34dZ6y7jrkA,798
caffe2/python/onnx/workspace.py,sha256=o5udA2hh43Qy_qaI02PHLgjX2rMOaYiJsEyeIpOmxKE,3003
caffe2/python/operator_fp_exceptions_test.py,sha256=3tA3e3j-MIRvKOZ5UEzwfmdtnYEE_zSo85tifjB5IgQ,1284
caffe2/python/operator_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/operator_test/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/activation_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/adadelta_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test_helper.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/adam_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/affine_channel_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/alias_with_name_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/apmeter_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/arg_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/assert_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/atomic_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/basic_rnn_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/batch_box_cox_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/batch_bucketize_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/batch_moments_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/batch_sparse_to_dense_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/bbox_transform_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/bisect_percentile_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/blobs_queue_db_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/boolean_mask_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/boolean_unmask_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/box_with_nms_limit_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/bucketize_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/cast_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ceil_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/channel_backprop_stats_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/channel_shuffle_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/channel_stats_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/checkpoint_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/clip_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/clip_tensor_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/collect_and_distribute_fpn_rpn_proposals_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/concat_split_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/conditional_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/conftest.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/conv_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/conv_transpose_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/copy_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/copy_rows_to_tensor_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/cosine_embedding_criterion_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/counter_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/crf_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/cross_entropy_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ctc_beam_search_decoder_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ctc_greedy_decoder_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/cudnn_recurrent_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/data_couple_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/dataset_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/deform_conv_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/dense_vector_to_id_list_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/depthwise_3x3_conv_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/detectron_keypoints.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/distance_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/dropout_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/duplicate_operands_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_linear_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_logical_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_op_broadcast_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/emptysample_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/enforce_finite_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ensure_clipped_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ensure_cpu_output_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/erf_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/expand_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/fc_operator_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/feature_maps_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/filler_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/find_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/flatten_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/flexible_top_k_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/floor_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/fused_nbit_rowwise_conversion_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/fused_nbit_rowwise_test_helper.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/gather_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/gather_ranges_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_byte_string_to_uint8_fill_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_fill_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/glu_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/group_conv_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/group_norm_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/gru_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/heatmap_max_keypoint_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/histogram_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/hsm_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/hyperbolic_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/im2col_col2im_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/image_input_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/index_hash_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/index_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/instance_norm_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/integral_image_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/jsd_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/key_split_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lars_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/layer_norm_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/leaky_relu_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_adaption_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/length_split_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lengths_pad_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lengths_reducer_fused_nbit_rowwise_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lengths_tile_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lengths_top_k_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/listwise_l2r_operator_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/load_save_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/locally_connected_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/loss_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/lpnorm_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/map_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/margin_ranking_criterion_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/math_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/matmul_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mean_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/merge_id_lists_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mkl_conv_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mkl_packed_fc_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mod_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/moments_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/momentum_sgd_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mpi_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/mul_gradient_benchmark.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/negate_gradient_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/ngram_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/normalize_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/numpy_tile_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/one_hot_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/onnx_while_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/order_switch_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/pack_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/pack_rnn_sequence_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/pad_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/partition_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/percentile_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/piecewise_linear_transform_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/pooling_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/prepend_dim_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/python_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/quantile_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_speed_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rank_loss_operator_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rebatching_queue_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/record_queue_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_net_executor_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_network_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/reduce_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/reduction_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/reshape_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/resize_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rmac_regions_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rms_norm_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rnn_cell_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/roi_align_rotated_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/rowwise_counter_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/scale_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/segment_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/self_binning_histogram_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/selu_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sequence_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/shape_inference_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sinusoid_position_encoding_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/softmax_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/softplus_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_dropout_with_replacement_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_gradient_checker_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_lengths_sum_benchmark.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_lp_regularizer_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_normalize_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/sparse_to_dense_mask_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/spatial_bn_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/specialized_segment_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/square_root_divide_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/stats_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/stats_put_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/storm_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/string_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/text_file_reader_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/thresholded_relu_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/tile_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/top_k_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/torch_integration_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/transpose_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/trigonometric_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/unique_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/unique_uniform_fill_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/upsample_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/utility_ops_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/video_input_op_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/weight_scale_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/weighted_multi_sample_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sample_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sum_test.cpython-37.pyc,,
caffe2/python/operator_test/__pycache__/wngrad_test.cpython-37.pyc,,
caffe2/python/operator_test/activation_ops_test.py,sha256=NQ81Go4B-d8W-OCiwwPsmSP2WwlkayBqLka4wDkGW_E,8968
caffe2/python/operator_test/adadelta_test.py,sha256=Mr89MAtUzvke0cH_lbTOHmmjOkd0DyVtYEw9a-7um10,7931
caffe2/python/operator_test/adagrad_test.py,sha256=sTerJOO5rTQ6bX_ptcFi4h1ZixPk_d0yoBLPYY6CN94,7600
caffe2/python/operator_test/adagrad_test_helper.py,sha256=UYEknQukfc1lQAwMd42AgGaQLn21LDKcWPc0x4vGsAA,4589
caffe2/python/operator_test/adam_test.py,sha256=3T1dqb0nFlIwqANR8SBr936dmlFWtnvCfEEPWtV_uBM,17194
caffe2/python/operator_test/affine_channel_op_test.py,sha256=j_le4kQbD5sd5Hj2RLvoXkHp4QtpetMR-GliSbCmi9I,3784
caffe2/python/operator_test/alias_with_name_test.py,sha256=4k29-cTaJzojqdIQPGpQiZ-yB_UjLjKW1DQ8RyRrK-4,938
caffe2/python/operator_test/apmeter_test.py,sha256=nXcOLBujmFEDKK4MLsu4d4wrx184V0VK2T8eGWCgvck,2738
caffe2/python/operator_test/arg_ops_test.py,sha256=4wRE56jtKVm2SFJG4SfRkmKnIKnHj6JpYuWP6C9-vNw,1917
caffe2/python/operator_test/assert_test.py,sha256=FKS-sWflMKLyQfeUpJlPWdhqwePY0EeCQHM0ynOGiH8,796
caffe2/python/operator_test/atomic_ops_test.py,sha256=RRBM2APLlHYTwJpMpw-pP9RV-4B8YihRMaURQuS0teE,4104
caffe2/python/operator_test/basic_rnn_test.py,sha256=ohXZXyrooFcfq5jCoEgB1W-fQm5v1UsNC_YRkJr9OvM,4720
caffe2/python/operator_test/batch_box_cox_test.py,sha256=VV7efKwjRUBsVegMae2ic2zIOPmR9r0NGz36aHDzD1I,5080
caffe2/python/operator_test/batch_bucketize_op_test.py,sha256=HIagVW5zZMhY76LB6LAKvxPq8DkgaSLWnYiAQjcMBPc,3730
caffe2/python/operator_test/batch_moments_op_test.py,sha256=IpnVXAmw77meWrvauZVYM3WX-4V0WE5mMSmm8FGJe3Q,2795
caffe2/python/operator_test/batch_sparse_to_dense_op_test.py,sha256=G8cvTsfS77MkvP01UNVTxgBQ6PMljIa_TmKxjDIoTlM,3701
caffe2/python/operator_test/bbox_transform_test.py,sha256=bv1tGGqIbwnj1aXpNUDj4fZgoWVaiIOu72MYYUvaD5E,12256
caffe2/python/operator_test/bisect_percentile_op_test.py,sha256=N4LP-BDYbABvSYuNJh8m9PDFRvwqs3JGdx7EmGiZMWs,6227
caffe2/python/operator_test/blobs_queue_db_test.py,sha256=1Y63MBTq0-jyUk2ZVh_HEqEO1cyGzhn7_lLKwuLToUE,3256
caffe2/python/operator_test/boolean_mask_test.py,sha256=eyemi04agv5vI4iZ8BONDgGxFxswyUEOME4Zxltc6Hw,16423
caffe2/python/operator_test/boolean_unmask_test.py,sha256=ZAd2RsI2bWDvdUrUUeIB_Q7Kn5MV_BlqMvBbYWsdS6Y,1711
caffe2/python/operator_test/box_with_nms_limit_op_test.py,sha256=Z8DfzeH-BKzAKsqgNnaD2HZsCYeuSCwXOAZdMGEQsnU,8747
caffe2/python/operator_test/bucketize_op_test.py,sha256=RfXZA8WscR3bSqUwxakhPnJMXHSq1PZfG3_nDhuTKuU,973
caffe2/python/operator_test/cast_op_test.py,sha256=GlfsO_9-utjsh7XzvwSUvEkMGe781x3V3_N8wJBFXnQ,1600
caffe2/python/operator_test/ceil_op_test.py,sha256=YEtFlcTxTR5O_CWSP64_MG0x955cfsElO1DHiqadp3U,888
caffe2/python/operator_test/channel_backprop_stats_op_test.py,sha256=XaWWwgZeDx8sCSsx_VRazSZx4x-DrGe0cqk_aC8ImVs,2131
caffe2/python/operator_test/channel_shuffle_test.py,sha256=h-fPyAWMXQ1mXj5jN50E1IsxSKpgaW9ZOfy_bNcziBM,1794
caffe2/python/operator_test/channel_stats_op_test.py,sha256=KsRmt7AwrkpiAaROuczDpup2BGP0u55m_AznOyZ3ZmM,2639
caffe2/python/operator_test/checkpoint_test.py,sha256=qss8Cf0BV5aOluowRjQx6zk1w2gRH7GEIlHDOouLvnc,1500
caffe2/python/operator_test/clip_op_test.py,sha256=q9gqITplWR_kV43NOwrCVsNvP1SQuxhIYYTvlr6CciY,1983
caffe2/python/operator_test/clip_tensor_op_test.py,sha256=sMPD7Aq0Yq9gNn3wsNqPat-pTqXiIpGtMlv0ZMmcYMM,2075
caffe2/python/operator_test/collect_and_distribute_fpn_rpn_proposals_op_test.py,sha256=vSNGc0jJXeVCDIVQWzhuhz2RrKIohqDJwXeM1uPfVFI,11269
caffe2/python/operator_test/concat_split_op_test.py,sha256=4ZZv3zeTJIPwr2Sa_7B8GBvtTjGrwENp3x1gNgx1K9s,7313
caffe2/python/operator_test/conditional_test.py,sha256=2HROt3N6NU8VqckRVA3WOAM--_3nDLiwKxucRk8GOoo,995
caffe2/python/operator_test/conftest.py,sha256=1i_Gc_oi04OWrCKy2ggNKHsDkO1pZjbOiHou1HZmIgg,1446
caffe2/python/operator_test/conv_test.py,sha256=a193srmTeX5LSUWkkYVJ5CWRplNTxC0mp6bZ7vEPFvU,32483
caffe2/python/operator_test/conv_transpose_test.py,sha256=eqw4YGeUnyjVi5Ob7s1KW38UQW9yYhfsgUu1yM8i9hQ,15945
caffe2/python/operator_test/copy_ops_test.py,sha256=C1ZTAvyPyV711F-y8noefcMhb_Y9zrzJsQ1tfugTTHk,7374
caffe2/python/operator_test/copy_rows_to_tensor_op_test.py,sha256=rFCExbzfln8OYgdD67el-OUTVZwX4O1mMXEVDXMLxAg,2526
caffe2/python/operator_test/cosine_embedding_criterion_op_test.py,sha256=Bb-vCLMSEtVwtmiSprE4TViu5GGisseinf5hqhYb-Fs,1982
caffe2/python/operator_test/counter_ops_test.py,sha256=JTRYyvKXIHT-3zMSDqGOhJHyv9ePhd41aCceozofb8c,3348
caffe2/python/operator_test/crf_test.py,sha256=x01CTbzqLLoEk_GxeoFZPwdXoH9Q6rK39XzMyG83JWw,5330
caffe2/python/operator_test/cross_entropy_ops_test.py,sha256=9tSI4ub4t2g4-3S3zcG9Ly_li1lmH1r6xFeu26WKWEM,10095
caffe2/python/operator_test/ctc_beam_search_decoder_op_test.py,sha256=_gslGFJtiNEIl0k1EQIypS9gLQYqr1UZ6lVurx-pqAU,5246
caffe2/python/operator_test/ctc_greedy_decoder_op_test.py,sha256=JMzbQc9VklX3uyE6sm0OdJLUd-4X6lZ1DdmgyYt7z_g,4743
caffe2/python/operator_test/cudnn_recurrent_test.py,sha256=yCe9yZYmSeASt0cHWeLvL-yHqToAR1SipKuSmqmMImw,5853
caffe2/python/operator_test/data_couple_op_test.py,sha256=Kq7tGmSYzt47nny39_p5iT6es_dhlUMlvDkuRwOQ8XE,858
caffe2/python/operator_test/dataset_ops_test.py,sha256=K_wr_y9bZE5SwIVKANQCaLAACnpbQ6kl9336woN5q0Q,22376
caffe2/python/operator_test/deform_conv_test.py,sha256=YrngBzGTOPrz5iHUxN5BIBjRBOENtSZqPEeL55t3bOE,19286
caffe2/python/operator_test/dense_vector_to_id_list_op_test.py,sha256=2Spnoartmn60WUvKhOu9dGseWlUyXMis6-6TBKcUWk4,2044
caffe2/python/operator_test/depthwise_3x3_conv_test.py,sha256=JcUWnh7WLq33G1HO1Crhyn8fWWsUzwHPp3YKV_ojrB8,1882
caffe2/python/operator_test/detectron_keypoints.py,sha256=Kdlbrp88NMi6Ouu5nzOmqHz6xcq6IhPCW07V10fkgmA,7973
caffe2/python/operator_test/distance_op_test.py,sha256=f3J7N-4sxlNhIZgMEUL2Vh-2l9Q0o2DTBJduedS3b0g,4380
caffe2/python/operator_test/dropout_op_test.py,sha256=PBkBWoeGKR_DXi3J_bI-rlTZSZ809hsndc2Z4SBarlU,2970
caffe2/python/operator_test/duplicate_operands_test.py,sha256=pX6FB2je5IwsfgavTex0b22FegLMIn1bpwBmCI9wi_U,734
caffe2/python/operator_test/elementwise_linear_op_test.py,sha256=AMeO61M9RudLNUVJDc_4GOrx0dvcvRJyHDT0PC_4qMw,1411
caffe2/python/operator_test/elementwise_logical_ops_test.py,sha256=04SC3yG0l6q8O6vMXjNZSiWhbREgu8-I3c63C0vJv8M,4617
caffe2/python/operator_test/elementwise_op_broadcast_test.py,sha256=s92o0-MBNAEhovNlifk5F7sc51i_PQhM5cQRFm5eEUI,16271
caffe2/python/operator_test/elementwise_ops_test.py,sha256=o1iNAcuk3s5ZV46tPZNbfGvPUZEQNs27DIUSJGQ7ojM,26908
caffe2/python/operator_test/emptysample_ops_test.py,sha256=kLildnnCNUfy43Kvf47tt5Yq8wg4VmPiGgm8DTQ9oUY,1977
caffe2/python/operator_test/enforce_finite_op_test.py,sha256=VChPPHLJp-J4hJpDibL6BRdZWkglbYqThbhjv2BpbgY,1321
caffe2/python/operator_test/ensure_clipped_test.py,sha256=m1MMOV2Tzx7-WTelW5pUZb-Iyw61x3pCzVJ8MAq30b8,1505
caffe2/python/operator_test/ensure_cpu_output_op_test.py,sha256=IxlKyOQC_yPRtkEePaHdOsnK9Jy6BbaPgCuO7jnsJwo,1244
caffe2/python/operator_test/erf_op_test.py,sha256=j13TUPVa-N_ScDFbYqiHa3lktAI3VNRDmr4hZibz9-4,748
caffe2/python/operator_test/expand_op_test.py,sha256=zT7RYSuWUpCho5PFhTRvuOSc7anm-5DB-feLrrhHD3I,2119
caffe2/python/operator_test/fc_operator_test.py,sha256=EpHT0OPHY-fD9eh4TPdSwv3uDKY5OTOwfYJO-rHkAC0,3832
caffe2/python/operator_test/feature_maps_ops_test.py,sha256=HBzsSKuOf5jCqIZ3CIBRIE340IwpXHbN3m9tIh9pdKs,21500
caffe2/python/operator_test/filler_ops_test.py,sha256=Rwpspdai7p0dy1s7sx6VYXmZmQcRpOwQKQaN7qKi0Mw,8474
caffe2/python/operator_test/find_op_test.py,sha256=UsY52AoGSDKYle0YoT0HOHPNv9DOcdASsRH9MPstohs,1316
caffe2/python/operator_test/flatten_op_test.py,sha256=yAMIDB3s1iIH2DS6j_rkYDUZb5qKHsXC3iz-QTlkhp4,922
caffe2/python/operator_test/flexible_top_k_test.py,sha256=eS9r1xLwNJ9gQaNJrpOZb2_Ir0lATAdrOFuW2VIJSvE,2608
caffe2/python/operator_test/floor_op_test.py,sha256=-cHJU_LrbeQmU7kMeDGsh1IvHofGeO502nW8zslI8-g,894
caffe2/python/operator_test/fused_nbit_rowwise_conversion_ops_test.py,sha256=5dTbT-gZwp3WtjCWvIryMdwfpxoVZJPwR8tpVwYxuvM,14074
caffe2/python/operator_test/fused_nbit_rowwise_test_helper.py,sha256=PbO8vG258DOnl4J06xdzDlf20feEmDY06kC4ndv5dDI,2693
caffe2/python/operator_test/gather_ops_test.py,sha256=46-jVtiQT9Hv8KQb5kxf6IT2db9P-K-kr7-xjj-dtRI,9215
caffe2/python/operator_test/gather_ranges_op_test.py,sha256=XdyklmuDwyX--G9c9duxJ5m6UfkSOYxXY36Rf8Xsa3g,9123
caffe2/python/operator_test/given_tensor_byte_string_to_uint8_fill_op_test.py,sha256=0E50CATvYhbNN0pTIP69H5Vwks5JaT9-R0_aogrlYpU,1392
caffe2/python/operator_test/given_tensor_fill_op_test.py,sha256=U5prsVBltL0bk6UpmaQAyvhsxgC-YZ0HrGrZoyqKAI8,1503
caffe2/python/operator_test/glu_op_test.py,sha256=JniAs6kn-YnJjsq3DnNTCTsPmG5N3vnbplm540GzXPI,1233
caffe2/python/operator_test/group_conv_test.py,sha256=ppjaN6WgYHOzPOuIIF00T9LWHwducrDpvLWCc-8MGes,2880
caffe2/python/operator_test/group_norm_op_test.py,sha256=dhKFgFyMSpIvJRA3d_8MqsKL0hCpYB9gqJrGnd5P_bg,5252
caffe2/python/operator_test/gru_test.py,sha256=H4qMwX28ilUGzl-JWpGu9csVmSMCLaoKA3DCpiZl6x4,12942
caffe2/python/operator_test/heatmap_max_keypoint_op_test.py,sha256=IyNOP1fMjdvz9UMj-RjLND-j9wd2p9HWR_8eaGHAl_U,4770
caffe2/python/operator_test/histogram_test.py,sha256=D1GwapzeHhU-lHZzImzvYtauAmodJ_Ffw5xA3-f6NAY,3097
caffe2/python/operator_test/hsm_test.py,sha256=AENE-Z10W18gb-NOuJFSnTM9wcAF0iZmIul9EIAhL2Y,9456
caffe2/python/operator_test/hyperbolic_ops_test.py,sha256=HM7GhTQUz-25oOzdSa_UvuZG1RWtJv3CruXWsSL3WIY,1501
caffe2/python/operator_test/im2col_col2im_test.py,sha256=w-OkDWvnkUB50HsZ43BfetvMIt67aHbguAIa5e6TOiA,4338
caffe2/python/operator_test/image_input_op_test.py,sha256=faDspqQCjvk_Totn3z60fkc9pAyfdERTVj4opphT_fw,17347
caffe2/python/operator_test/index_hash_ops_test.py,sha256=5WvCVDOuuC5ICZYKVyiISlHb7qjmxnig6mIToPuD2pg,2885
caffe2/python/operator_test/index_ops_test.py,sha256=V0CjgxZvTCJ3vG5CwsvctQP-uQ5avEh1F1K6sHBDiJo,4597
caffe2/python/operator_test/instance_norm_test.py,sha256=shVNBDB6OiC8IbOmCt9xevMV8SyBt6srB79NPSLkCNg,9926
caffe2/python/operator_test/integral_image_ops_test.py,sha256=mQ1nKbAiYZgy2G3XaYxg56OPJruqka7pykiH2N8ufYA,3419
caffe2/python/operator_test/jsd_ops_test.py,sha256=i-gvPzzOAJkuaHrxwWG4eC-dELIaQjFRuf1JNlNUQl0,1073
caffe2/python/operator_test/key_split_ops_test.py,sha256=rZqxzCuMD6OINrTVfKr-rMC5CeMmPfdGATaADzzaCfU,1289
caffe2/python/operator_test/lars_test.py,sha256=7O3XJ1xh8ihJyPbxk1XaJ4bNGlce0ek2F1sksIFi_b8,1354
caffe2/python/operator_test/layer_norm_op_test.py,sha256=hbk9NPgJ8NcclE4yIXJDiOcn2JywLRkCFaqHMpJfR8s,14852
caffe2/python/operator_test/leaky_relu_test.py,sha256=7VHpOncdRmbxjoBxnN0idkkEK1qbXt7bFi8hsFAJUTI,5639
caffe2/python/operator_test/learning_rate_adaption_op_test.py,sha256=714XARd7GObrwGdAzudWJvgvjygRL0kWhG3Nc6-4lhM,2837
caffe2/python/operator_test/learning_rate_op_test.py,sha256=PJC-LcZ8UahsBnkCeOG-gcW3H1auZgx8AzQW4Sx3vEc,8652
caffe2/python/operator_test/length_split_op_test.py,sha256=HAtZNE1y-hhrkgkKsaqHN-z3gjKWoDEPm8o8OE6wZWQ,4867
caffe2/python/operator_test/lengths_pad_op_test.py,sha256=hH8Cjv6wHdMFw30ndaUBfIjQijxmW7LNL08ofrKFNt0,1654
caffe2/python/operator_test/lengths_reducer_fused_nbit_rowwise_ops_test.py,sha256=1TLO-sktgrgMJIPGQMSPuefGZYc0Zfm6dnW6uszqyUU,15503
caffe2/python/operator_test/lengths_tile_op_test.py,sha256=duOc5arhWq7xueRKtZ4Sax6W41u9MQgxRRXr57Vw12s,1361
caffe2/python/operator_test/lengths_top_k_ops_test.py,sha256=8YuBCnHbsAXOJPxufDi1bWfL4ZGP6RINSqUlXdNc9RY,2378
caffe2/python/operator_test/listwise_l2r_operator_test.py,sha256=Fun8El0OBBrdQNw2FGU44uf8DpRyPnhLf3cNdWom_0Y,8740
caffe2/python/operator_test/load_save_test.py,sha256=jOqNat3OVV2Au2-4fkiWRP0WEuyua2LgQTKolvWJw_k,18723
caffe2/python/operator_test/locally_connected_op_test.py,sha256=xEQ9WphstY8-W96nm7XY76syFxzGNuSdGH9eHpfSPYY,7697
caffe2/python/operator_test/loss_ops_test.py,sha256=WpowM0-dvpwIZ34No8VLPh1n6XwFO2pxPykSzLPLuC4,931
caffe2/python/operator_test/lpnorm_op_test.py,sha256=sMXdDYM0pLvlY5pYjEbbEeTS6wE7oIMLdNxK3yGbE84,2724
caffe2/python/operator_test/map_ops_test.py,sha256=B--ia2kcIRBYsyUQRYJmHb2xtQvhHqT_78e_w7LNMo8,2249
caffe2/python/operator_test/margin_ranking_criterion_op_test.py,sha256=LtLqeiPsAIsXdbkJElYlFNkDXufItMuFHwWhQ2z0pfY,1815
caffe2/python/operator_test/math_ops_test.py,sha256=7rQhvS1nS7CJVLzVQWk1rSoFkYTUq2O7ZUX5fxMEi6Y,1603
caffe2/python/operator_test/matmul_op_test.py,sha256=fWGvssh-hUsK-6oiJJlGNx9prhB6LW-eZtj9RfjVhKs,10132
caffe2/python/operator_test/mean_op_test.py,sha256=rDN4PVv9u8oohbmpzhukIQwbV7R-AuluvnYQaXUy0Sc,1500
caffe2/python/operator_test/merge_id_lists_op_test.py,sha256=zjKNTkBzSsJ0Ksx2I3rTE611MfJwzvnitmfAf1Vosac,2989
caffe2/python/operator_test/mkl_conv_op_test.py,sha256=zRk2Ukro-mgBZNF4EeNtdELd9jYd25enEQnsdMGjZho,1547
caffe2/python/operator_test/mkl_packed_fc_op_test.py,sha256=FS446UyuVhb57s8_73y8sXlC1kjwPdF0Z0f_1EaODbo,2647
caffe2/python/operator_test/mod_op_test.py,sha256=85-h4KTN5eCyry6LBaPLTG7mOMdKERndYM2MltIKvCE,1421
caffe2/python/operator_test/moments_op_test.py,sha256=mkPYDNKKT5YEvvsl0mEAOELw3SPuw_cUFl4i0LeOeNQ,1751
caffe2/python/operator_test/momentum_sgd_test.py,sha256=tIHEIKaG_INQ7NbiqIw2beyrkSmFUtzHOt5wkY4oGlY,6480
caffe2/python/operator_test/mpi_test.py,sha256=tWs-l3NjAlmlDT7BC6wK_gn0ByOmCl6VhQaUliJKzmQ,8111
caffe2/python/operator_test/mul_gradient_benchmark.py,sha256=e260qD1_pj4dqSPf6aNxuoUBGGRD4yD3ewta967I8cs,1118
caffe2/python/operator_test/negate_gradient_op_test.py,sha256=CoDuM6Mj1ZC0K8NSWyMaQlGWV4wZpwiJZRmwPWe68Fw,1518
caffe2/python/operator_test/ngram_ops_test.py,sha256=NzKc1vNsXcBH7-Yl02mRK7VLgM96oq3dhg2yGyukc_c,2327
caffe2/python/operator_test/normalize_op_test.py,sha256=aJo8TB1VSZNTyvDZpHO_Siw0M9nnhB0nJUJk_9FnkPU,1679
caffe2/python/operator_test/numpy_tile_op_test.py,sha256=p3zCoEzk6W1LGCG74-ARM_4wWtigir6uscphpMTRC-0,1935
caffe2/python/operator_test/one_hot_ops_test.py,sha256=qnr9SET7CTInF3PHoYt8bgIh8rWfXDV2pdKGfdHOwpA,7477
caffe2/python/operator_test/onnx_while_test.py,sha256=FDMVvT4w1JCLmUhGZ1MD-x7cU14J8b94eSVh9KCuvpI,3081
caffe2/python/operator_test/order_switch_test.py,sha256=ggL2YmqZMulzC_XMyALaptr05AiqKOjmK0vDOIuRLJk,1306
caffe2/python/operator_test/pack_ops_test.py,sha256=YzMbpEBqjPwOJNoyLSSfq1-0IxGNw2L94sqEiYPYWoU,12634
caffe2/python/operator_test/pack_rnn_sequence_op_test.py,sha256=pIsF5l5s7JQOb2ycsj7HDkvEp0Qqth7NhpRLygw93Cs,2920
caffe2/python/operator_test/pad_test.py,sha256=fRCxYyHKnb--Wal3x8RHtliTdKKQ9aJG5Rnc2rCHNrE,1407
caffe2/python/operator_test/partition_ops_test.py,sha256=GWfme5OgEne7YeiNUWiZrfCee5mCkGp0KKcd7uXFTPw,6838
caffe2/python/operator_test/percentile_op_test.py,sha256=Aq0pSamzs-FsFCJ67TMpWZOwWZYK8k2hfs1ruZTwCu4,4435
caffe2/python/operator_test/piecewise_linear_transform_test.py,sha256=hJicSahQdxklDu7seyxwQFeFhYk7IjB_3vNPEkpezbs,6187
caffe2/python/operator_test/pooling_test.py,sha256=YoQhjuBEW17vpxtkjkfA7jGSSHoZct3HvzO3SEQ06i0,16507
caffe2/python/operator_test/prepend_dim_test.py,sha256=Y7CCwDJDPt_4LwyyHfjIgQplQYxb-CtrwNUbP40Y3JA,1505
caffe2/python/operator_test/python_op_test.py,sha256=ARAfAFQbYPE6sGs_rWbfu5uOmue4b-P2SPRUyoA4moE,1311
caffe2/python/operator_test/quantile_test.py,sha256=m75ZRTLIUkHZrNGUTxJmc3GsGZvXgs8_Y9jlDa_2oBY,3276
caffe2/python/operator_test/rand_quantization_op_speed_test.py,sha256=4WV5W9cnjSWNZNlTRhIucuYwsZzSCe4N9RlqMIw8KsI,3128
caffe2/python/operator_test/rand_quantization_op_test.py,sha256=O78076ouuJux2WmPWhknSNIQC5kiD_BNYRoPRkDigEA,6792
caffe2/python/operator_test/rank_loss_operator_test.py,sha256=Y6YGz9lY8ZeDBkGTWonr_-477Wmf8FB3VPhKjntF0hM,5752
caffe2/python/operator_test/rebatching_queue_test.py,sha256=9iXs1GlSHQoh-LqOLNJocmz2fwV9IeXR_KGX1DQUTlU,9047
caffe2/python/operator_test/record_queue_test.py,sha256=_i3uuoN0Ai-oRhRrsUaScenWVYBaivz388UTEo1wCOo,3125
caffe2/python/operator_test/recurrent_net_executor_test.py,sha256=wKaqJ3fXJNkj5lbfhcQth8qvZEDklt5frLz3ePNpghU,10922
caffe2/python/operator_test/recurrent_network_test.py,sha256=pwj1nQ02WuYaOD2pitQHy7HXtZsuWea9TBEt5RjwcOs,14075
caffe2/python/operator_test/reduce_ops_test.py,sha256=kN4E0lT9V8-RYiScE-GfCiQKYHH_I5SI9QXl1sGey2I,16110
caffe2/python/operator_test/reduction_ops_test.py,sha256=Xis13UwHCbi0ooTj3FRlUhqaOkFwaKBQKkJxeR1la-U,4227
caffe2/python/operator_test/reshape_ops_test.py,sha256=FMhMJ47XAXr9lnN0ojmf-Hw_FYWnGxZQ4PbvFfPcTHA,8222
caffe2/python/operator_test/resize_op_test.py,sha256=8iGoAn9XKrt2Y-NS1YEKHKVUWdkHeT-elhVf1oSqS1A,9417
caffe2/python/operator_test/rmac_regions_op_test.py,sha256=Kji0Zf1BzNo9RwBwhRfQ8oUt06UKChIT7HGcYObwYaw,3178
caffe2/python/operator_test/rms_norm_op_test.py,sha256=6mDmR_ejywKLfVWsEfz79BJ7t2g109yan_9in5y_4xU,1325
caffe2/python/operator_test/rnn_cell_test.py,sha256=dpZcEs75y5BLKy29-VIas9RKS_3_D_65gmBVMX_eWEs,59707
caffe2/python/operator_test/roi_align_rotated_op_test.py,sha256=uEdb5130rj2BeZG4NRBvyBw_u5py4CYSwOsbHuhGdKg,7603
caffe2/python/operator_test/rowwise_counter_test.py,sha256=-sL8a_Zf5hh-bRSTL3yc67bV34hF9eZMO7FZA6HVBFI,2205
caffe2/python/operator_test/scale_op_test.py,sha256=QLzCeE3FuMm4CppfIo2RZWNqP8zwohq9ik3lgyn_Els,2156
caffe2/python/operator_test/segment_ops_test.py,sha256=MUgQim2gqjCHCXMQm-AGceg_rwMm9TeZ-3dFdkuJbLE,25745
caffe2/python/operator_test/self_binning_histogram_test.py,sha256=m5lRrfAP4I7IzCaqXjzKodEAykgKsKnRWD6H2oys6dI,8067
caffe2/python/operator_test/selu_op_test.py,sha256=4LOeZBhihwWKBZSP0nEA3xUy9ZpZFghVZvNgAu5v9bM,3230
caffe2/python/operator_test/sequence_ops_test.py,sha256=t0AJ7hPAeLTggOfBkRoNXIOBIykPAzhxRMk62FUbr-o,11543
caffe2/python/operator_test/shape_inference_test.py,sha256=NoDbvQU96qjjOx9FyJUegNzG8csUU1slH6Rm5FjKjOI,25708
caffe2/python/operator_test/sinusoid_position_encoding_op_test.py,sha256=6gDhhF9GxKnsJvgsNEEuZrrq4_s4bd_LPdrVd6LV7pM,2307
caffe2/python/operator_test/softmax_ops_test.py,sha256=S7rjSAPhwGlsFYZcnwvb7et85-OP4Z1LMfj4aiNg7bk,23684
caffe2/python/operator_test/softplus_op_test.py,sha256=-qOeh0keFKxPrS-IozclJ47NeoxN5bZtLKNY1fDwB4c,515
caffe2/python/operator_test/sparse_dropout_with_replacement_op_test.py,sha256=_PzldUSeBimxI0aWkspkAqOmkL3dn4xjgA08V68Zpno,2885
caffe2/python/operator_test/sparse_gradient_checker_test.py,sha256=xr73dyA3iQDthZAukqzcCpJ8cVjNDVnod2rjucm7OAw,1294
caffe2/python/operator_test/sparse_lengths_sum_benchmark.py,sha256=ao9CRQhNtwOQjMzHg1mdq8fzC5SzLOfnWKjatAIcTcc,4159
caffe2/python/operator_test/sparse_lp_regularizer_test.py,sha256=81OlgTY5LK0l-n2yqU6J0iMdXrVSnW9boqAFv3E2zuI,2553
caffe2/python/operator_test/sparse_normalize_test.py,sha256=QB6ucmuYEWCN-QrMeqwZbONQvzlPQkZSWJlvrIVhpK0,2813
caffe2/python/operator_test/sparse_ops_test.py,sha256=WS-9KXj5vleUexEmMX0rqLBf-uGJyqm-HOJVmgHSvtI,3247
caffe2/python/operator_test/sparse_to_dense_mask_op_test.py,sha256=fgTSlLOdkhdsbncBhVSFDaAKsUxtTo10X9RvygvjWfw,3691
caffe2/python/operator_test/spatial_bn_op_test.py,sha256=Av-LzGCUN-wsa0DFL37WV0nizcqaRpsNsKQfEbvZvR8,20218
caffe2/python/operator_test/specialized_segment_ops_test.py,sha256=es_Dh-HOduRaYbX6PxR9FuGwOHJ8xus3OjirhIKANcU,11775
caffe2/python/operator_test/square_root_divide_op_test.py,sha256=ncjg26XDvNDzw4lSy2nh1odOUATK4UhrTouHQTS-dzM,2208
caffe2/python/operator_test/stats_ops_test.py,sha256=Ez4wVAhQosngDNpqBJykV4o2ijP-9c9N3mCzqPPCBOI,1789
caffe2/python/operator_test/stats_put_ops_test.py,sha256=hqdLuH-WvY6_L6mucnKcXL4SGjLtwfsDRJbghHA2MbM,6596
caffe2/python/operator_test/storm_test.py,sha256=aIYVd6O1ofSxcmKVcV9TzKq3XpaKdf-XnE6JisPFsTM,6507
caffe2/python/operator_test/string_ops_test.py,sha256=O7yL22Z6uEEQ3Pb88Z-2VKieMQkUmB5ppYimArCEfA0,3458
caffe2/python/operator_test/text_file_reader_test.py,sha256=OlIt0HCS_KsqWNi1bBPNn3DiPi9Rtaj0tBh31QEelpY,2517
caffe2/python/operator_test/thresholded_relu_op_test.py,sha256=XjeVVwmc_BcaeLY0_RVrj1w28SbJ6Gv19Q-T37uE92o,2323
caffe2/python/operator_test/tile_op_test.py,sha256=QXerqs7Hl4KH84cReP13ivYqNqUpWTD3z09VpYyVzoM,3887
caffe2/python/operator_test/top_k_test.py,sha256=0yXAL6OPeaNtwxeq2p3wBmP0hy4DWgxp4bwYS1Wy3rc,9111
caffe2/python/operator_test/torch_integration_test.py,sha256=QW633wIqw6jCmErDOWdXRlx2iKv21lMwVSI6Rf_4YaY,37257
caffe2/python/operator_test/transpose_op_test.py,sha256=NrYCZSAqIxK4spJu66lAv0JIPLD_EVrEEWpMrjHkeM0,2722
caffe2/python/operator_test/trigonometric_op_test.py,sha256=6jFEoNZ9qo1lUGXfitSIyHWraG18XTpQgEdOtheUi_k,1715
caffe2/python/operator_test/unique_ops_test.py,sha256=TeDLGAQ5LHkVdQSYYOcI7b7Jr2ubREHVpNHZDexeQWQ,2255
caffe2/python/operator_test/unique_uniform_fill_op_test.py,sha256=DsNX0550JbTGPt32LRogOwep5D5ns_qbXQF8zSya05g,1335
caffe2/python/operator_test/upsample_op_test.py,sha256=dDuST4-D1-HpkNZba3gek73L_EWmpqX01Tf9x7UWR5s,7308
caffe2/python/operator_test/utility_ops_test.py,sha256=ahyoNQ07xTn4Rb7ikytNteSHbjh1ujHeY3P1oBxullo,15068
caffe2/python/operator_test/video_input_op_test.py,sha256=zglK3VvzfxU1IYnOFR7zGF1aPfbmktGBrw_ZYZB85nE,10503
caffe2/python/operator_test/weight_scale_test.py,sha256=ccbDMq-uzi5FlIhSQub-QBsanbscqLCNyqANoUgyW8Y,2057
caffe2/python/operator_test/weighted_multi_sample_test.py,sha256=uPAkjO5sWgnUcX2RyPDPuUJzFW9X55Zk4_iDbt7yY3A,1997
caffe2/python/operator_test/weighted_sample_test.py,sha256=lEk1Q8TbxF9z-9R3V8n2oO3aI0UABRMlLw1mLWpnHg0,2739
caffe2/python/operator_test/weighted_sum_test.py,sha256=xDGA1B3RdnE_OKHE8QOyoyZ3IJKYrkqmlD4I5mrjI00,3051
caffe2/python/operator_test/wngrad_test.py,sha256=iagUjstasJseBgJJRRCaH99K8lqBbmvTBjo9PNpAxdA,8275
caffe2/python/optimizer.py,sha256=8a-TAsOdyrdodJzKN_m3n69TC9aEujRNjeui6_xb3Dc,71492
caffe2/python/optimizer_context.py,sha256=mS5mYeb5W4haFK887Xv168rOr-1wHAR2yKBZJrQeVyM,1482
caffe2/python/optimizer_test.py,sha256=Uq-bXgRiMroWHMTOlXxl1AlVHEszqZNpaCjhIFVvBvU,28845
caffe2/python/optimizer_test_util.py,sha256=HGuoCiH4vlRTD8nHzaU8nQPep4_q-Fj2oWxEn0G0FGU,9223
caffe2/python/parallel_workers.py,sha256=FYOsLAqu3xDhpnT-gcfO12HwKlI-lvn8ErFBU7gIJOk,7696
caffe2/python/parallel_workers_test.py,sha256=Tr1jJFWE1bWnk7e0Gemw8zpYBRRJzSzT47UNmIuz2G8,3501
caffe2/python/parallelize_bmuf_distributed_test.py,sha256=xV6k87RvZqpLB0BpSxxcrVMJy1gMVoenyBoxxlBSp8g,9908
caffe2/python/pipeline.py,sha256=tpPTOkb12AZ9_zZYBu6ND-lS_kiUGwCLiPjsW3MnbGY,17283
caffe2/python/pipeline_test.py,sha256=x3Uth5QBovlqfR-nK74L_A132um3Qv3GcNWhFLY1_rU,2542
caffe2/python/predictor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/predictor/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter_test.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter_test.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/predictor_py_utils.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/predictor_test.cpython-37.pyc,,
caffe2/python/predictor/__pycache__/serde.cpython-37.pyc,,
caffe2/python/predictor/mobile_exporter.py,sha256=To0Y_3jGK_izFcJC-N3CNfjpghzvaxzzK3hLttNEQVE,3674
caffe2/python/predictor/mobile_exporter_test.py,sha256=IraQf71Fo6QS1VonaF2HrKRuBKvRf4qj_wWuwdqP8rs,4851
caffe2/python/predictor/predictor_exporter.py,sha256=_cNGxNgRyRTfvVIdEwEZBwZSmcHoGWZ3lbNrF0gI3Pg,9894
caffe2/python/predictor/predictor_exporter_test.py,sha256=RL-vCZi-2Bt1-cAKJG5uwoRWi4YmoRZ1UWIYJ5qDQSE,8693
caffe2/python/predictor/predictor_py_utils.py,sha256=bGttS7K7_mbFXJkCs7TCh76iLgIzYx0uQ77l2mN2JWo,6177
caffe2/python/predictor/predictor_test.py,sha256=B9aMTTn_PG5rg-6VE_0V44ly9agAW5fXsq0v0hKXmuA,2050
caffe2/python/predictor/serde.py,sha256=ShRW5qEzPk15t0hVAnNU_gM-B5LrwwGP3ZxJPfRVY-Y,317
caffe2/python/predictor_constants.py,sha256=y8FrQnKYTGSKIPygUmb7WO7gqyryCNMOVFKxzS_sNvg,198
caffe2/python/python_op_test.py,sha256=7Fs7TAJTOL6hXNr91nz2SiAekpes_y2tBaHx1GT07-0,9190
caffe2/python/queue_util.py,sha256=QkrLKf1Ozld3XcSL1DWwzysz86LyVWvxg19fDva5SpU,4459
caffe2/python/record_queue.py,sha256=kMw10lJWwL551f1Tq-aoAE5y0-mzvyA_bhKkmJ7m7l8,4453
caffe2/python/recurrent.py,sha256=ZIhunAKxVJwN_Q6vOKSvGdG7FO2JTmx8WHUB1hdgJf4,13297
caffe2/python/regularizer.py,sha256=NhB4ruaaHLYOXSYTPA7x2nxYagSlhTJ3FRQiBynziWQ,20778
caffe2/python/regularizer_context.py,sha256=0yWZiLzutTxVzx7ELw9l2Oeztkpm1BpycOkoDll6TYM,1033
caffe2/python/regularizer_test.py,sha256=2DPJPyW4FkGuxMpl4u0QiaZfPSGxpmyMQDop745QuQQ,8410
caffe2/python/rnn/__init__.py,sha256=fDcNlTbX0Nag981_mCZpKs2T5PsFukb3tjC4eXQDQ9M,5
caffe2/python/rnn/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/rnn/__pycache__/lstm_comparison.cpython-37.pyc,,
caffe2/python/rnn/__pycache__/rnn_cell_test_util.cpython-37.pyc,,
caffe2/python/rnn/lstm_comparison.py,sha256=4iI-q11g_oflW7uX3tuKLBvsmXXrla9WzKa1nRY2Svw,2112
caffe2/python/rnn/rnn_cell_test_util.py,sha256=bJL02PNpOMhvhOV1ZpwCutElLKri6BmT1bbXv3TYkU4,2132
caffe2/python/rnn_cell.py,sha256=V-A5b3AU-nlsrxJMR1Xdu_wKvF8o-wEc6oV7Yz44-dM,68264
caffe2/python/schema.py,sha256=SGY-yXxA9B4YRlvW7oYaoL45OWsgMtCSdkA3QCRTqqY,45014
caffe2/python/schema_test.py,sha256=GkRQlHicsR9tAepoqDAC-rE-cqXBbeC2Jb0EG7gVMj8,14838
caffe2/python/scope.py,sha256=odCYlfczLIIUtwJ-IDPKaXLt40SnQVdl3Cw3HkQ8tyI,3623
caffe2/python/scope_test.py,sha256=lKkf_dGYaCVIdqfYWWEkyZLEMHf4P2hesAO8jWckdX0,5285
caffe2/python/serialized_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/serialized_test/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/serialized_test/__pycache__/coverage.cpython-37.pyc,,
caffe2/python/serialized_test/__pycache__/serialized_test_util.cpython-37.pyc,,
caffe2/python/serialized_test/coverage.py,sha256=jow-lBbEJGdmJ36mCoaYkqlCe2-rC9l3fKuv5vaAz-U,3809
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=yWKjwP0SKs9mFtcBg4d8XmC8DTX7DyOmxrDH1OHeCR4,3010
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_max_grad.zip,sha256=4UPgqLggzrmfOBY-hxsRNGz_fgylhR2TXnfOWVRpTKc,3618
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min.zip,sha256=xftaB1reUMcjgy3LqQw4bJJ7Xu2Mp6ZNV1NhZuFx34M,3046
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min_grad.zip,sha256=Ctswc2PYGTYP1G_6ZANZY42pwvls3T7o0N3g8NRXX4M,3640
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_gather.zip,sha256=BGQJxe7PcRYLipM1DR_izoYRf2xozfU-Tddwp5x2DvM,1310
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_to_ranges.zip,sha256=mLxcaYbTF27GuzCtfU8wdKbRejqnC9hh3ZO2jOnNZks,1209
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=PKxgIKTGLQc0s4VEjQciqb5ToTq6fxP-_4H8yYmA5bY,1199
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_slice.zip,sha256=JO4tAn5UP7CbpCJ9r7U-UH9DJ5sgbpxuBd7hFZ7NeNw,1424
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_sum.zip,sha256=GGYC_zJMc_JGm5QkE1R7G1Im2j2GaY-Zv_OYwbomBFg,1352
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_transpose.zip,sha256=KZiXXcLpgXuBmAIoQjL4dQZM0pogByUqalEoawSF48M,3017
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=kerGvAgnO0PdTM4JuqXVycxuviocQJxjeF9YJKVJaXA,9383
caffe2/python/session.py,sha256=Z_QJ_wOj9WDnNVpFNiwLj_hQu4oB9rBQiNNWp2V3SA4,7640
caffe2/python/session_test.py,sha256=b50PwrJ3NLtoNDPWFfdvC4k6KiWnH0Z9Uy6sU-InKBY,2078
caffe2/python/sparse_to_dense_mask_test.py,sha256=s45Up3_rXhYo8KrIoyn08vbBonXvSP0ZnZoLR5nDrbs,6565
caffe2/python/sparse_to_dense_test.py,sha256=Q8wYT0tzD7fEoOQXTQel9uNN4WnhYMruImwfO6WlNvs,3556
caffe2/python/task.py,sha256=Dof8HHDoJG3_0CSn7jUkJXy-mVjoWB7NivOHC13F5QA,24244
caffe2/python/task_test.py,sha256=yjfnCOPLGunCJtZSHh0YZxjCiZqmEFwvjqzfxmnpaAY,713
caffe2/python/test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/test/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/test/__pycache__/blob_deallocation_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/do_op_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/executor_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/executor_test_util.cpython-37.pyc,,
caffe2/python/test/__pycache__/fakefp16_transform_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/gpu_context_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/inference_lstm_op_test.cpython-37.pyc,,
caffe2/python/test/__pycache__/python_protobuf_test.cpython-37.pyc,,
caffe2/python/test/blob_deallocation_test.py,sha256=DcmwI3y7Kk4Ne9PFCIWquAp_QlfBqqfTrt8seqqplAk,632
caffe2/python/test/do_op_test.py,sha256=t6JIHsVDTdSFACwEl5Vqy3LfXsCJdIZxPrEV6-DFYnI,2055
caffe2/python/test/executor_test.py,sha256=pyv9B1mG_B_4g7M4V0eMcjJAxOqZHPgL0wFyhZbt4HM,3039
caffe2/python/test/executor_test_util.py,sha256=4AAKkGe0Lxfu6OFGdnJE5W6jjlnfll17mkKtKGg8W6s,8090
caffe2/python/test/fakefp16_transform_test.py,sha256=c10YR78Zrlup_eahGY1H9qZtq93rEkTYLUUKIMnVwUU,723
caffe2/python/test/gpu_context_test.py,sha256=NGy_i0rDQDN6V390uFUe4oUeWJTmOiHQsNWU4tmBUOM,1121
caffe2/python/test/inference_lstm_op_test.py,sha256=VxoZWCbfjAnvE5teMIWizKCvmZ9v0JDAJfUwoBkORWs,2216
caffe2/python/test/python_protobuf_test.py,sha256=0xjSABFYzNw9qiiZCWV0qaXALCppgSwx0CZ0B0MWysg,685
caffe2/python/test_util.py,sha256=d3K9ZkX0IZy48KWa8tky0PHTgvx5WgAVNs0Vliwb1yA,2713
caffe2/python/text_file_reader.py,sha256=Su1G9eMY3Q3Pgb92QL4-SrVMzJg7ZR2rIfjQ55qJIsU,1990
caffe2/python/timeout_guard.py,sha256=19d4ByaWzbyurlcFb7W13V9n3N1LEWK_2-5yzV00HME,3753
caffe2/python/toy_regression_test.py,sha256=YUmh2dDiEkVC32vZpel6glEz3hbqZERcyFHgsofeXVY,2822
caffe2/python/transformations.py,sha256=eqXfV0xTgLKK6Ea3GW8FcLAxWYHxjk_LOnkZanx8ygE,1832
caffe2/python/transformations_test.py,sha256=5GwrRu1IrDUn3pdlo8eEj1muOsn5GRYjb51xfxKWE10,11960
caffe2/python/trt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/trt/__pycache__/__init__.cpython-37.pyc,,
caffe2/python/trt/__pycache__/test_pt_onnx_trt.cpython-37.pyc,,
caffe2/python/trt/__pycache__/test_trt.cpython-37.pyc,,
caffe2/python/trt/__pycache__/transform.cpython-37.pyc,,
caffe2/python/trt/test_pt_onnx_trt.py,sha256=T-W5j7svLEXAGPi7QptwiK4ef9GiepK5XTxOjrzW-ro,7604
caffe2/python/trt/test_trt.py,sha256=aJoo_LJI2B3ZFYKC0GeCuNcwsV3fRqzd28QuHdeFxBM,11345
caffe2/python/trt/transform.py,sha256=WJUW2n3vWxEvQzZDiSWODQlDahPQG3vpy5IE087qsUA,3372
caffe2/python/tt_core.py,sha256=TBQgd2TJa93bvp2Z4U2HbzXrL_Z3gtm46uikUywnVUE,9349
caffe2/python/tt_core_test.py,sha256=Iwj48al16h12XyWXYj23P-g6cAfoB3x4k6rvZ13Npy4,2518
caffe2/python/utils.py,sha256=s_99nNOnR411dzAfaDz6MfIddw7h76wmxKZKqXrHo34,14216
caffe2/python/utils_test.py,sha256=qaEyzHIrkNGXtqqLcgB2eKI6UlMBCUH44XzQ0oDPn6o,1399
caffe2/python/visualize.py,sha256=SF6te8Ih911UvN4V_MBrwpVLbdNfRC4wiumbe-Yg5Jk,6315
caffe2/python/workspace.py,sha256=2kCON-vWXOOD5bcw3odVsS57NBpzzrj5U7IGpBq4ADo,24888
caffe2/python/workspace_test.py,sha256=31rRj16iUBYEKbyHitL_en5dkWbbgqFSiFTy65bvFjg,32714
caffe2/quantization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/__pycache__/__init__.cpython-37.pyc,,
caffe2/quantization/server/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/server/__pycache__/__init__.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/batch_matmul_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/batch_permutation_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/channel_shuffle_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/compute_equalization_scale_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/concat_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/conv_depthwise_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_acc16_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_acc16_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/dequantize_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/dnnlowp_test_utils.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/elementwise_add_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/elementwise_linear_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/elementwise_mul_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/elementwise_sum_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_acc16_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_fp16_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_rowwise_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/gather_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/group_norm_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/int8_gen_quant_params_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/int8_quant_scheme_blob_fill_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/lstm_unit_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/observer_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/pool_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/quantize_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/relu_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/resize_nearest_3d_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/resize_nearest_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/sigmoid_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/spatial_batch_norm_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/tanh_dnnlowp_op_test.cpython-37.pyc,,
caffe2/quantization/server/__pycache__/utils.cpython-37.pyc,,
caffe2/quantization/server/batch_matmul_dnnlowp_op_test.py,sha256=KEucLJHgCQXiKVSUa-Bzl4tWUPlmEeE0hFdaBnywcJ8,10152
caffe2/quantization/server/batch_permutation_dnnlowp_op_test.py,sha256=pPkkPmGO0yCq8bp6DwXoPVI_CBRlfm4imru0apD4YXw,1449
caffe2/quantization/server/channel_shuffle_dnnlowp_op_test.py,sha256=9Vt_6wRcp08cO5cjyX3676ZFAjJYAe_JF-FvaJAepiU,3890
caffe2/quantization/server/compute_equalization_scale_test.py,sha256=lN8qv1rDwkrpkgcb656UXKdrygCtXXkXTcvbsJbgg_Q,3633
caffe2/quantization/server/concat_dnnlowp_op_test.py,sha256=fjphwkIg_tvSxvmPJJrrivGlpQ4V2Y3m4yKETG-RYs4,3265
caffe2/quantization/server/conv_depthwise_dnnlowp_op_test.py,sha256=3jErOQQHZwdXnlk1of80KU5Sw2FjUuQlvVMAVXvu-MQ,10931
caffe2/quantization/server/conv_dnnlowp_acc16_op_test.py,sha256=Bb-m_Zq618k24Lpj9QIF9kA3m0EhLQK9PNbAS8sNPBU,14202
caffe2/quantization/server/conv_dnnlowp_op_test.py,sha256=uc0dUIzd-mHHAlT4dMXksvW0G35ZZApfJ3HIfG3oYiQ,17819
caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py,sha256=TtObr6pr1-QHjkRyvURb6fZI_AmaeIzQQLHmp0joi_U,11664
caffe2/quantization/server/conv_groupwise_dnnlowp_op_test.py,sha256=MDzxB4GNbLHXFC7ju-gl9QTHa-X6i-2NfP4YrGimHuc,9537
caffe2/quantization/server/dequantize_dnnlowp_op_test.py,sha256=3T46aRCpQLTOrIDFrZtXPCQZvvImGoTtS6Fqw7lyxMc,1743
caffe2/quantization/server/dnnlowp_test_utils.py,sha256=OsskTblaHDzDyT60LYChFM5FtW07dxOV60RgDWMLzYo,14544
caffe2/quantization/server/elementwise_add_dnnlowp_op_test.py,sha256=o6mZBcpd9hhTKPWAPe1fwUjJv1khUFv1Bg1IWuK1vww,6662
caffe2/quantization/server/elementwise_linear_dnnlowp_op_test.py,sha256=95rS6EjjjI_vhQpWYQclnq35qUPHuhEBG-QV0DEdQFo,3101
caffe2/quantization/server/elementwise_mul_dnnlowp_op_test.py,sha256=jz2PVRYDq88PJ284UFzzemKYQH6bDr7Mbrux5ABs9kA,6315
caffe2/quantization/server/elementwise_sum_dnnlowp_op_test.py,sha256=3DNkShdQ4ybVnHUg19m13A1w21R83QMAMOTcMMNyU1Q,9682
caffe2/quantization/server/fully_connected_dnnlowp_acc16_op_test.py,sha256=B2j8bbTYCtxKhmjh_eCb2MpyZb47Z1nvBnqH25HB6c8,8324
caffe2/quantization/server/fully_connected_dnnlowp_op_test.py,sha256=-eXDzgcpwITAcaNNJSLjmCmEOooFkr37UQN7nE8VhcQ,10481
caffe2/quantization/server/fully_connected_fp16_test.py,sha256=gy_u67MIp_zaiuUYQvCPFdj9AYH_G4u6NMw6YIETkw0,2519
caffe2/quantization/server/fully_connected_rowwise_dnnlowp_op_test.py,sha256=mRqYlVDU06vTHedwghtujJDx_3ESr-sc6V0FnOthqG8,5434
caffe2/quantization/server/gather_dnnlowp_op_test.py,sha256=YEwzzp4N9p6JCSMGitW3h4y0cajqRoVRKK9NeZ8Gqxo,2790
caffe2/quantization/server/group_norm_dnnlowp_op_test.py,sha256=T_INz5SWkIsmTTCyp_aXwAulzTZKlbPrRqJff2nyJTA,4566
caffe2/quantization/server/int8_gen_quant_params_test.py,sha256=vy-3V6UrM160bKaY_jvJ7VK1Si1TRp9hXoZLkyVC80o,3550
caffe2/quantization/server/int8_quant_scheme_blob_fill_test.py,sha256=zzVUne2tkS36yETvPiYfBytH5hUIQmuBVW_2MqaPGAs,1838
caffe2/quantization/server/lstm_unit_dnnlowp_op_test.py,sha256=NqSWC0xhxvtu_e3Kk9YxwbT2YZGZjJ6OTQ1J5bRh0s0,3975
caffe2/quantization/server/observer_test.py,sha256=jTUvtgaII3Q6qRQi5BYS4i6vdsgryEcf-68EHLEgFuE,1011
caffe2/quantization/server/pool_dnnlowp_op_test.py,sha256=VUew77dD9x5VkMXhdHTbbhB5ACtutbk8kXW-AWLvsyc,6125
caffe2/quantization/server/quantize_dnnlowp_op_test.py,sha256=HQdknU4qV9WVO_P68bRUyqUNaaUyYkkDD2G0CX3JbRA,2668
caffe2/quantization/server/relu_dnnlowp_op_test.py,sha256=cwUdPIuLjGkckW-Y6PT7ash-cxOvIR_sUQPeaOE7-3M,2418
caffe2/quantization/server/resize_nearest_3d_dnnlowp_op_test.py,sha256=DHOkgFgpdiuoX-ImAuzg4dyt-uhcFipsEI2PvjJjuOY,2289
caffe2/quantization/server/resize_nearest_dnnlowp_op_test.py,sha256=hSQNzK_OGuQmVGtyLsfsXH5HjIN2IDynPlTETA_603A,1994
caffe2/quantization/server/sigmoid_dnnlowp_op_test.py,sha256=RrcQWTrVF6-A4KhR_TMqrvm7aZFlpfkvOSy-oWllpOI,2203
caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_test.py,sha256=0fsPwmLvVWBGW52029HCOog-Yf6UVyqVsCAKByBWuTM,4094
caffe2/quantization/server/tanh_dnnlowp_op_test.py,sha256=DKodWpKAZGlIABsQzeaWsgxMCVaSso2rBolnrVZ6-IM,2187
caffe2/quantization/server/utils.py,sha256=I9-xkqdK3pncv5MZhfn7PurfyqGiQAcsgbKR2etyaeg,16059
torch-1.7.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
torch-1.7.1.dist-info/LICENSE,sha256=XJpvQL9ol-RoTX9YP5dTVNxV5zrt0Qq7viZdPRA_-7Y,3145
torch-1.7.1.dist-info/METADATA,sha256=sbHXtPYgT8OjywkPxX7z-mZK9AERx3BiadJ1DBVQg4Q,22998
torch-1.7.1.dist-info/NOTICE,sha256=ls8G3nLDnAHkc51pu0RbqFyT2N95B4X3KaDp99SqIck,16290
torch-1.7.1.dist-info/RECORD,,
torch-1.7.1.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch-1.7.1.dist-info/WHEEL,sha256=8MJuIn_o44q10qi23aeeO3JiijJAiu3iAJYjMuztSYU,104
torch-1.7.1.dist-info/direct_url.json,sha256=umTgg__ek1CE1RxER1k8o_z19PUzQYgn9-VcdCiHGEg,80
torch-1.7.1.dist-info/entry_points.txt,sha256=tBq08xjcH6FU5Cd99g_eDv6XmGLc7aO1BsAza1OiF0o,167
torch-1.7.1.dist-info/top_level.txt,sha256=uHC5XEIL5DFf-nwoASf9DqxKXwF1F-MWCjhViLjmUHA,13
torch/_C.cpython-37m-x86_64-linux-gnu.so,sha256=Ug3nSPBiJYvHIUP6U456L2vK951t1z4c0RN-8rx80jk,16072
torch/_C/_VariableFunctions.pyi,sha256=UOXtlgZIcRrW5w2th_TA9I0AOQiBeVG0nO2sx4F3J7c,108829
torch/_C/__init__.pyi,sha256=rffxjvxJsS3hpQtOL1EF5H2JsXJZMSXoJY6JhygSwHY,74552
torch/_C/_autograd.pyi,sha256=IuDH_-XDpVw4NHCiGNs052bYL-A0eB8Gcl1UUnMPaM0,1254
torch/_C/_cudnn.pyi,sha256=u6AtFliqINpzpP_exa4Gm53ORR-ouz_zJMu2f4Mmecg,377
torch/_C/_functions.pyi,sha256=S5o3u7KSTkTey9k4uGCsb9YJ4ENzEivjNYpLGv39mBA,349
torch/_C/_nn.pyi,sha256=BvsHjd5JIOYy_vaVqBNKujOUoqVgOksG-5PYEhujViU,1038
torch/_C/_nvtx.pyi,sha256=LLfE9tC_xIaJ4IPX02mtMJoIuSOP8JPj_BwtGbfR1VA,150
torch/_C/_onnx.pyi,sha256=ntM50_MWl1Yx5Gcqc6jdHul7iWz2vwVUku--jd4BlvY,633
torch/_VF.py,sha256=LZqg7eZz0U5sdo6XnsM4eF8_tbb2joaFmff3-szmnHg,656
torch/__config__.py,sha256=fCcJbXhPaXoYltR2iSlcSd5CCFcBig_puGfga6EaIOs,450
torch/__future__.py,sha256=C0IDWmqnbkDgTdDUDMRP3_uW5-8joMyBoF0stq7-vDg,813
torch/__init__.py,sha256=bhqsYgMh1P6aN9OrwQIcvjvpIqAY4cXVB5vfHifEAEs,23667
torch/__pycache__/_VF.cpython-37.pyc,,
torch/__pycache__/__config__.cpython-37.pyc,,
torch/__pycache__/__future__.cpython-37.pyc,,
torch/__pycache__/__init__.cpython-37.pyc,,
torch/__pycache__/_appdirs.cpython-37.pyc,,
torch/__pycache__/_classes.cpython-37.pyc,,
torch/__pycache__/_jit_internal.cpython-37.pyc,,
torch/__pycache__/_linalg_utils.cpython-37.pyc,,
torch/__pycache__/_lobpcg.cpython-37.pyc,,
torch/__pycache__/_lowrank.cpython-37.pyc,,
torch/__pycache__/_namedtensor_internals.cpython-37.pyc,,
torch/__pycache__/_ops.cpython-37.pyc,,
torch/__pycache__/_six.cpython-37.pyc,,
torch/__pycache__/_storage_docs.cpython-37.pyc,,
torch/__pycache__/_tensor_docs.cpython-37.pyc,,
torch/__pycache__/_tensor_str.cpython-37.pyc,,
torch/__pycache__/_torch_docs.cpython-37.pyc,,
torch/__pycache__/_utils.cpython-37.pyc,,
torch/__pycache__/_utils_internal.cpython-37.pyc,,
torch/__pycache__/_vmap_internals.cpython-37.pyc,,
torch/__pycache__/functional.cpython-37.pyc,,
torch/__pycache__/hub.cpython-37.pyc,,
torch/__pycache__/overrides.cpython-37.pyc,,
torch/__pycache__/quasirandom.cpython-37.pyc,,
torch/__pycache__/random.cpython-37.pyc,,
torch/__pycache__/serialization.cpython-37.pyc,,
torch/__pycache__/storage.cpython-37.pyc,,
torch/__pycache__/tensor.cpython-37.pyc,,
torch/__pycache__/types.cpython-37.pyc,,
torch/__pycache__/version.cpython-37.pyc,,
torch/_appdirs.py,sha256=6Khzzyz6qbmOYFa5jHCgULrzXF1AWI0rUM_-gDGZilY,26244
torch/_classes.py,sha256=JfegM5icS6TGMPMVkzptXhtbR6QmiGN7PKEkGV2TNdc,1692
torch/_dl.cpython-37m-x86_64-linux-gnu.so,sha256=FjmyKVAyLWJrHhYZCmCGTveXWwQY26hJD1phGZjCuC8,16360
torch/_fx/__init__.py,sha256=q5ZVTBo1tZ4JEsMfWYoPmcHdmfClO9RMazIIGOyM7Cc,4294
torch/_fx/__pycache__/__init__.cpython-37.pyc,,
torch/_fx/__pycache__/graph.cpython-37.pyc,,
torch/_fx/__pycache__/graph_module.cpython-37.pyc,,
torch/_fx/__pycache__/node.cpython-37.pyc,,
torch/_fx/__pycache__/proxy.cpython-37.pyc,,
torch/_fx/__pycache__/symbolic_trace.cpython-37.pyc,,
torch/_fx/experimental/GraphManipulation.py,sha256=kb3CWYW2LfB3BtAa1Py6PkcQAA259W8KtXnKaVkpljc,2333
torch/_fx/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/_fx/experimental/__pycache__/GraphManipulation.cpython-37.pyc,,
torch/_fx/experimental/__pycache__/__init__.cpython-37.pyc,,
torch/_fx/graph.py,sha256=eMxl00NnZ2200zwdCI9YedhTym_y2ReIGiFRGozwve0,14845
torch/_fx/graph_module.py,sha256=vown_uQ3LuYUNvK9bS3a4z-xcEg67uLPMAttlActu0Y,9079
torch/_fx/node.py,sha256=u36KCdSdJGkIbYp3Tw5-gVrscxCLwRX1Vj_HxgY-9sQ,1558
torch/_fx/proxy.py,sha256=b7OpGLMdThzKjh9epQLMBn7R7eYXpBm_Yz_YOTJ6BEQ,6655
torch/_fx/symbolic_trace.py,sha256=CAk8xSQqMfm0GkyIxzD98kgIyJwk-D6gKyDd9cZ4Ekw,7385
torch/_jit_internal.py,sha256=snEwFN94PSrg1AuAzq6Ug05v7pkC2ESRKLrf89KXPjc,31388
torch/_linalg_utils.py,sha256=bNvjYq_3SuF8CbBJHHAxK5kDqeNf_UEW0idYIy4yjAI,2535
torch/_lobpcg.py,sha256=uxrYW0sIT-F8WYH1AfYBbZCAl1m9V2j9b690ca2Ee0c,43906
torch/_lowrank.py,sha256=yROCc1cMMqsK_1HCr4SuFl-H5HUcrceThac_S6mPXP8,10349
torch/_namedtensor_internals.py,sha256=A9ToJZ1mxYOkVvR4nMcHWByOYRxvuFy88zev8iK7QXU,5351
torch/_ops.py,sha256=WZuXyrqtOtwde0SKMd6NOi40M-4XjldsKwUk__3Rf-U,4320
torch/_package/__init__.py,sha256=NyRUGz6X-r1m21qkLbvCO5yDdZR_Zt7-Yedgk2ZF_x8,355
torch/_package/__pycache__/__init__.cpython-37.pyc,,
torch/_package/__pycache__/_custom_import_pickler.cpython-37.pyc,,
torch/_package/__pycache__/_importlib.cpython-37.pyc,,
torch/_package/__pycache__/_mock.cpython-37.pyc,,
torch/_package/__pycache__/_mock_zipreader.cpython-37.pyc,,
torch/_package/__pycache__/exporter.cpython-37.pyc,,
torch/_package/__pycache__/find_file_dependencies.cpython-37.pyc,,
torch/_package/__pycache__/importer.cpython-37.pyc,,
torch/_package/_custom_import_pickler.py,sha256=sn-XkMdDVCTI1cCqtG48tOouZMGK4VAbjrtnbngTpPI,3213
torch/_package/_importlib.py,sha256=gYidvXaFynnQLTf91y4RGWCKL3GjEOOqzFzfpk-P3Dw,2963
torch/_package/_mock.py,sha256=9RuwvZ5Ge7q65YnwRmU049tI0mMxn2-R3ArXy5hbyBU,1882
torch/_package/_mock_zipreader.py,sha256=p9RoFqB6ZPSiB539-QhjH1Hzl084AB_CC4F5rU9qpl4,1306
torch/_package/exporter.py,sha256=rSdoyXrKJU99BuqN-P7YoBbWqY5xUTeXg9MdJV6hM_k,24350
torch/_package/find_file_dependencies.py,sha256=0tMoWP9gUTPLnJ9y2WOooHLrn97Howt3SUaXMM9gNF0,1459
torch/_package/importer.py,sha256=289nIpcyE4LELHId0txzQ1wo1_gMbRj8c0blZJS31js,16495
torch/_six.py,sha256=hyZQcmjjJ21sa-rItYz7l5Z3Peup9L-8H-ScbNEwBhg,2831
torch/_storage_docs.py,sha256=astK4BAihym5Albqe-Mr9Yr_C8Dcyh7q5YBz29nfvy0,1298
torch/_tensor_docs.py,sha256=DBedH1yGmucqwOGbmmfFLGEUtvmTu5CTeE8jou6HGVs,100039
torch/_tensor_str.py,sha256=oTjaQ-FzNpBVRpBm5aUi9l-0S8c4yJEXpG69yyTfwSg,16003
torch/_torch_docs.py,sha256=0S4DGAZv32imAtKbJ99ti32x_WWeLE0ncNo-idsqlfw,297798
torch/_utils.py,sha256=A6BP_6GZbfa8q00r95Vm0Oa31mH-XjeykrWnZtZI7fo,19786
torch/_utils_internal.py,sha256=G_1P8E_sUXTjNs6h_n8iAfPaAogMHs267CIDtCuA9dI,2009
torch/_vmap_internals.py,sha256=6j13f5u-5aRpRXm9sohzPLso8m1_Y4dQ2lTSi6z8C7E,13054
torch/autograd/__init__.py,sha256=yNzAX95SGy7a2jZwVg6MjbRQPrROjfcZbFKP5x_k9UM,11707
torch/autograd/__pycache__/__init__.cpython-37.pyc,,
torch/autograd/__pycache__/anomaly_mode.cpython-37.pyc,,
torch/autograd/__pycache__/function.cpython-37.pyc,,
torch/autograd/__pycache__/functional.cpython-37.pyc,,
torch/autograd/__pycache__/grad_mode.cpython-37.pyc,,
torch/autograd/__pycache__/gradcheck.cpython-37.pyc,,
torch/autograd/__pycache__/profiler.cpython-37.pyc,,
torch/autograd/__pycache__/variable.cpython-37.pyc,,
torch/autograd/_functions/__init__.py,sha256=6BwfWeLvhH2iJdsJfj7iy1EfuQUt5z8_8mcVCJkuvDA,22
torch/autograd/_functions/__pycache__/__init__.cpython-37.pyc,,
torch/autograd/_functions/__pycache__/tensor.cpython-37.pyc,,
torch/autograd/_functions/__pycache__/utils.cpython-37.pyc,,
torch/autograd/_functions/tensor.py,sha256=L4bTXQOw6fSaJgFo1ywqJ4j-fwIRih1_p037nlVVwkE,1808
torch/autograd/_functions/utils.py,sha256=_WIEGu5CiXBuAnPJQNSLJBKs_ybe5U9Z7rIsdrHD_jU,2031
torch/autograd/anomaly_mode.py,sha256=QrxYEnmHOLXW4OnLELn2wbWOzfCsQ4ET8ur0J-Y1HAc,4264
torch/autograd/function.py,sha256=-t2p6scaQDiKwgCDdp7Mx9L3lcqM99cVFbROKBuG0Gc,16357
torch/autograd/functional.py,sha256=OtNiBv46rkNQonBkEdk6xJyJpsCm4F4UAWu8Ar3u1vA,34982
torch/autograd/grad_mode.py,sha256=mag2ddA3xyzE3C9kHvy8IXMPcvu6H0ob5c0fqQyUMXU,5189
torch/autograd/gradcheck.py,sha256=rkrSt1aVpN2NJxf_5aBqttPOV-dPs5woJrhlisfcejk,27925
torch/autograd/profiler.py,sha256=82mNvxPKy9qrtmQRhWJeDiQuJc9MF6_hiE54LffDtfE,54299
torch/autograd/variable.py,sha256=Gxq43lGDW_FxcwStMt8KZeVru2-vFXAwF0stHIk-Lpk,445
torch/backends/__init__.py,sha256=MupoiwtlWhQ8d5n1y57Q9ayHFs8Jb9FWPLH1UDOvYc0,1469
torch/backends/__pycache__/__init__.cpython-37.pyc,,
torch/backends/cuda/__init__.py,sha256=6OGrwGn2Mod6vM6jouzybuhvWDQ5ekE1C2Vz23reaIQ,3442
torch/backends/cuda/__pycache__/__init__.cpython-37.pyc,,
torch/backends/cudnn/__init__.py,sha256=rC-bZCCQL6AiYapYonqurcVqIrt32Y4Q82OGJ1z_m88,4562
torch/backends/cudnn/__pycache__/__init__.cpython-37.pyc,,
torch/backends/cudnn/__pycache__/rnn.cpython-37.pyc,,
torch/backends/cudnn/rnn.py,sha256=xoQsrjWMCrYHQiSFqPLxz13AJSEzBeFeoRIYos53Ofs,1930
torch/backends/mkl/__init__.py,sha256=1DlHk9fCOkXfrjE34hSYND6UAhgc_G3ONZlm1f6hxI4,125
torch/backends/mkl/__pycache__/__init__.cpython-37.pyc,,
torch/backends/mkldnn/__init__.py,sha256=GV7Myu9wdiK5zxLyD7D2Z2KNoXuroRsfsMsWwnoL2ac,1061
torch/backends/mkldnn/__pycache__/__init__.cpython-37.pyc,,
torch/backends/openmp/__init__.py,sha256=kk55NHvlEJ5XmIxXw3j-TDieIbQwqddg11rBxNe75WY,131
torch/backends/openmp/__pycache__/__init__.cpython-37.pyc,,
torch/backends/quantized/__init__.py,sha256=2xE5fa3HmjMh2FbgsZwOSHtH-YhlYR8A25eqPyLcot4,1787
torch/backends/quantized/__pycache__/__init__.cpython-37.pyc,,
torch/backends/xnnpack/__init__.py,sha256=VGCdkICzEdAEGKvE6cPqOf2LPCoYGAHIVUec82DnTj8,698
torch/backends/xnnpack/__pycache__/__init__.cpython-37.pyc,,
torch/bin/protoc,sha256=dw161xbjBlO9TStYb1vY8BH3-ckalkyvUwpHx9YGN6w,4466320
torch/bin/protoc-3.11.4.0,sha256=dw161xbjBlO9TStYb1vY8BH3-ckalkyvUwpHx9YGN6w,4466320
torch/bin/torch_shm_manager,sha256=-xXC7S__6MSpN0QH5ffEUv-gIIIV3FPqfNdzd-ilJWk,52856
torch/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/contrib/__pycache__/__init__.cpython-37.pyc,,
torch/contrib/__pycache__/_tensorboard_vis.cpython-37.pyc,,
torch/contrib/_tensorboard_vis.py,sha256=KvVte3FiEE1mKIzIZlodPdDXehc9yKYrWrWCxioDjTg,5876
torch/cuda/__init__.py,sha256=CKa9j5yEivAv6nesBUsgxCP31X7uiRbInr0ta1_9HJ8,18080
torch/cuda/__pycache__/__init__.cpython-37.pyc,,
torch/cuda/__pycache__/_utils.cpython-37.pyc,,
torch/cuda/__pycache__/comm.cpython-37.pyc,,
torch/cuda/__pycache__/error.cpython-37.pyc,,
torch/cuda/__pycache__/memory.cpython-37.pyc,,
torch/cuda/__pycache__/nccl.cpython-37.pyc,,
torch/cuda/__pycache__/nvtx.cpython-37.pyc,,
torch/cuda/__pycache__/profiler.cpython-37.pyc,,
torch/cuda/__pycache__/random.cpython-37.pyc,,
torch/cuda/__pycache__/sparse.cpython-37.pyc,,
torch/cuda/__pycache__/streams.cpython-37.pyc,,
torch/cuda/_utils.py,sha256=4X-x-C3iEvdYyIqY_ANl4Bea3iIuxsinLMEyc7XXe0k,1781
torch/cuda/amp/__init__.py,sha256=6bZDIBo2b3MNWPBIK-Q-3h8m9phWK6tq9TVIJiJ_TPU,124
torch/cuda/amp/__pycache__/__init__.cpython-37.pyc,,
torch/cuda/amp/__pycache__/autocast_mode.cpython-37.pyc,,
torch/cuda/amp/__pycache__/grad_scaler.cpython-37.pyc,,
torch/cuda/amp/autocast_mode.py,sha256=yRow-h7XnSgAnTKsuCasxgfTyGsfp0v9M7-xRA1d0WA,10069
torch/cuda/amp/grad_scaler.py,sha256=AjS65B734n0FV7T7G_vkK5K9XqxHM7OoN-I3rLSWECE,23985
torch/cuda/comm.py,sha256=U4sw5Dt_95NynIsC_UgBE79RHAjEJ6_RtEgi6PPlKrY,293
torch/cuda/error.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/cuda/memory.py,sha256=rt3VOsPo9jOBM0DQs_8ZGroAiquak2lAZIE2nCwBhFc,19282
torch/cuda/nccl.py,sha256=szHB9AFOh8p5Ze1xBLww9uMBuWix9DGTagbcoFHdJxE,3860
torch/cuda/nvtx.py,sha256=4XsSV1vyJP5DmYN31cBMlt0Phrcxy0xZiIkhh3Rjwug,1067
torch/cuda/profiler.py,sha256=YogTPy2RA-znBz1YDTMPryO6D0BMglW8-TZAuAhG1S8,1228
torch/cuda/random.py,sha256=s8fbpfcOUYfz20VaCgSlGGrVEta_CkVQk9me5oNOQUg,5197
torch/cuda/sparse.py,sha256=H912FRisikGM9SSVDQQq-YX5TNIilBYBZs1AwmIv3GQ,67
torch/cuda/streams.py,sha256=VIvmTo0dXTOp2HwMcbjgAOlRD3YMESUkKZX8pXJJnJc,7166
torch/distributed/__init__.py,sha256=9TxqwVO4BrPh0CMBpOUcZfWzsBeE5gXIhJ36g7oUGz4,874
torch/distributed/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/__pycache__/constants.cpython-37.pyc,,
torch/distributed/__pycache__/distributed_c10d.cpython-37.pyc,,
torch/distributed/__pycache__/launch.cpython-37.pyc,,
torch/distributed/__pycache__/rendezvous.cpython-37.pyc,,
torch/distributed/autograd/__init__.py,sha256=CHy1AxaQa8FJB9HLVhHQ-idm0mF0SiB1AZmXgUrnDPA,1266
torch/distributed/autograd/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/constants.py,sha256=rJJio2CQKzaPqv9rEIPgtr4Lzaya7uoYHehxWqw9hZs,397
torch/distributed/distributed_c10d.py,sha256=OR-q-HQ0mSJVQ5RfIfs4dJ1K31lD66gfNaraohE6HZ4,72925
torch/distributed/launch.py,sha256=xWO-Wa0UCPNq80tSBpz19yKGtkxyehajEN7MewbRfQA,10807
torch/distributed/nn/__init__.py,sha256=dAVciqzPa08d6GhxsXHBQOpidzHZiNjSL-B2iOY0wQA,44
torch/distributed/nn/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/nn/api/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/nn/api/__pycache__/remote_module.cpython-37.pyc,,
torch/distributed/nn/api/remote_module.py,sha256=fEu3_iM4Bk7dzMs12eouZFof-I4N6O00QuF6flySWHo,14953
torch/distributed/nn/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/nn/jit/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/nn/jit/__pycache__/instantiator.cpython-37.pyc,,
torch/distributed/nn/jit/instantiator.py,sha256=7PJw4bMaJ6VLt_mO7GE2ds0520yTZ_Bpi6HN3ePd00o,5084
torch/distributed/nn/jit/templates/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/nn/jit/templates/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/nn/jit/templates/__pycache__/remote_module_template.cpython-37.pyc,,
torch/distributed/nn/jit/templates/remote_module_template.py,sha256=jJTiUPI93VmZ80Q6T0kv68CEWyPK5R9-KuTPX_CbY70,1073
torch/distributed/optim/__init__.py,sha256=2IVn9-Ln30zs132_0Mawx1oNWiKuJjsA0GCYC4fTnO0,394
torch/distributed/optim/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/optim/__pycache__/functional_adagrad.cpython-37.pyc,,
torch/distributed/optim/__pycache__/optimizer.cpython-37.pyc,,
torch/distributed/optim/functional_adagrad.py,sha256=XLs7uWVkUFYxLyzHlHjAYQ5v5nI8fHqSwP-PKQfTbJw,3525
torch/distributed/optim/optimizer.py,sha256=5WN333FeqedVP0SCuorNUih2jeueVYbCRFN7QXwyVmM,8959
torch/distributed/rendezvous.py,sha256=JFK5HooNC0m_MSqoLo0sLogWXAVObyIqtagxJqh2DNk,6598
torch/distributed/rpc/__init__.py,sha256=nQcBd7yW2L2kIjocMOTndQ86Z3tc0xaVTYFMlsUp7T0,8121
torch/distributed/rpc/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/api.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/backend_registry.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/constants.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/functions.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/internal.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/options.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/rref_proxy.cpython-37.pyc,,
torch/distributed/rpc/__pycache__/server_process_global_profiler.cpython-37.pyc,,
torch/distributed/rpc/_testing/__init__.py,sha256=E7flPUt2NjIoe7fr7azIODrTA5x3hIBIP4PTbwIiDRs,342
torch/distributed/rpc/_testing/__pycache__/__init__.cpython-37.pyc,,
torch/distributed/rpc/_testing/__pycache__/faulty_agent_backend_registry.cpython-37.pyc,,
torch/distributed/rpc/_testing/faulty_agent_backend_registry.py,sha256=NXfVMoWOP_-KkBzHyxl8qFAm1xXAFvseCeoJHF8qDvQ,2527
torch/distributed/rpc/api.py,sha256=zGBWSws7rRRLLF-u-bI-VuvcUQyoSub_3iB1P7jrT-c,32526
torch/distributed/rpc/backend_registry.py,sha256=ymynCF8NxMb0IbSpC4dMD8BDHtyUQWBCNBvSQI5c2k8,6834
torch/distributed/rpc/constants.py,sha256=3a1g3T0KLlyb5Uvm5p43t9wVxXJYyHUZjmSmF8HRCRs,841
torch/distributed/rpc/functions.py,sha256=Jb4XK6InOW3oBk8P8KExBGzjcDsUSS-d-Ql1jDiNsrU,7112
torch/distributed/rpc/internal.py,sha256=p-LfBRk8vABN9CgMi2IuvSbGo_hKgjDmcT5v1hw0JT4,8530
torch/distributed/rpc/options.py,sha256=j-a91X57nAIKG0TyWFrtdOaOW5fwhkBmXuViRaaAJ5M,1740
torch/distributed/rpc/rref_proxy.py,sha256=nPxFW5CXz_gGH1gCj1CXK39ayh1x9mHkoD8EEonlny4,1241
torch/distributed/rpc/server_process_global_profiler.py,sha256=MKsvAVID5HaLjtiRLWB4gHDOf9o0S11pAxKd4Ofdtrk,8035
torch/distributions/__init__.py,sha256=N9NOcJhvJGaApJGKsb3xz3l-28VYx2wD88RPULy2x9M,5658
torch/distributions/__pycache__/__init__.cpython-37.pyc,,
torch/distributions/__pycache__/bernoulli.cpython-37.pyc,,
torch/distributions/__pycache__/beta.cpython-37.pyc,,
torch/distributions/__pycache__/binomial.cpython-37.pyc,,
torch/distributions/__pycache__/categorical.cpython-37.pyc,,
torch/distributions/__pycache__/cauchy.cpython-37.pyc,,
torch/distributions/__pycache__/chi2.cpython-37.pyc,,
torch/distributions/__pycache__/constraint_registry.cpython-37.pyc,,
torch/distributions/__pycache__/constraints.cpython-37.pyc,,
torch/distributions/__pycache__/continuous_bernoulli.cpython-37.pyc,,
torch/distributions/__pycache__/dirichlet.cpython-37.pyc,,
torch/distributions/__pycache__/distribution.cpython-37.pyc,,
torch/distributions/__pycache__/exp_family.cpython-37.pyc,,
torch/distributions/__pycache__/exponential.cpython-37.pyc,,
torch/distributions/__pycache__/fishersnedecor.cpython-37.pyc,,
torch/distributions/__pycache__/gamma.cpython-37.pyc,,
torch/distributions/__pycache__/geometric.cpython-37.pyc,,
torch/distributions/__pycache__/gumbel.cpython-37.pyc,,
torch/distributions/__pycache__/half_cauchy.cpython-37.pyc,,
torch/distributions/__pycache__/half_normal.cpython-37.pyc,,
torch/distributions/__pycache__/independent.cpython-37.pyc,,
torch/distributions/__pycache__/kl.cpython-37.pyc,,
torch/distributions/__pycache__/laplace.cpython-37.pyc,,
torch/distributions/__pycache__/log_normal.cpython-37.pyc,,
torch/distributions/__pycache__/logistic_normal.cpython-37.pyc,,
torch/distributions/__pycache__/lowrank_multivariate_normal.cpython-37.pyc,,
torch/distributions/__pycache__/mixture_same_family.cpython-37.pyc,,
torch/distributions/__pycache__/multinomial.cpython-37.pyc,,
torch/distributions/__pycache__/multivariate_normal.cpython-37.pyc,,
torch/distributions/__pycache__/negative_binomial.cpython-37.pyc,,
torch/distributions/__pycache__/normal.cpython-37.pyc,,
torch/distributions/__pycache__/one_hot_categorical.cpython-37.pyc,,
torch/distributions/__pycache__/pareto.cpython-37.pyc,,
torch/distributions/__pycache__/poisson.cpython-37.pyc,,
torch/distributions/__pycache__/relaxed_bernoulli.cpython-37.pyc,,
torch/distributions/__pycache__/relaxed_categorical.cpython-37.pyc,,
torch/distributions/__pycache__/studentT.cpython-37.pyc,,
torch/distributions/__pycache__/transformed_distribution.cpython-37.pyc,,
torch/distributions/__pycache__/transforms.cpython-37.pyc,,
torch/distributions/__pycache__/uniform.cpython-37.pyc,,
torch/distributions/__pycache__/utils.cpython-37.pyc,,
torch/distributions/__pycache__/von_mises.cpython-37.pyc,,
torch/distributions/__pycache__/weibull.cpython-37.pyc,,
torch/distributions/bernoulli.py,sha256=s0LTt4vPDy7KqQtuUAOPG26HRfkNoWn-4F4I-P0zuck,3904
torch/distributions/beta.py,sha256=0-GuJB_tdxxPF0R4jxL2MwLCWMhQ1WuHVyyR5S2IlXI,3375
torch/distributions/binomial.py,sha256=lgoYZVM0ZjGweXoISE3IesxzHxUFoI6J8gc8DqzDqQo,5366
torch/distributions/categorical.py,sha256=t4F45fJa6IpGmI3mxqk8yGymjoyrd3VN3jHu3MaESvQ,4976
torch/distributions/cauchy.py,sha256=QIV2oUrG4F7tTaUnfNaHWAP2k9BToYMRYnnMLEHv91c,2787
torch/distributions/chi2.py,sha256=SgRNqYhuWgsHDzVrwSO8NUQE-rkNdf08pARTyrDoTdk,909
torch/distributions/constraint_registry.py,sha256=RfCuVLCdCAQrNKD48G8GhcNr3YoXZe_TWRd0Fbl9-EQ,9531
torch/distributions/constraints.py,sha256=-J8vmOp5aPZgkmLCQe8AGa5rjSR9Dr69ITaZnHb-7Vg,10674
torch/distributions/continuous_bernoulli.py,sha256=jlxT8uGgdWY0fp4abDErBnElQYQHg56D6OLRl9tWmqI,8605
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=9zjmyPp78CNyde5vKjK6oXJ4Lo685ebHfAWJuVBrfj4,3825
torch/distributions/gumbel.py,sha256=CyPWQ_aXvz4hBZjP3DjR_buN9d4ruqZZmV6PPVDoa1I,2582
torch/distributions/half_cauchy.py,sha256=quUR2hm1WMUzd8ROuPRIyrN6uLFFeZ-C0BUScql-6Vg,2015
torch/distributions/half_normal.py,sha256=CwYYQFX4kzlzclZ_JC07zfRUnn3Qju8rVjJZ4H_hYcY,1891
torch/distributions/independent.py,sha256=tFt-JNlDhxZ5FQhAmyAVWynV9jlwaojOazZNFhf9QgY,4151
torch/distributions/kl.py,sha256=_wF2dyYj7mBNie1GRJxMKaa_bx-nvlcIprUv1m9avio,29917
torch/distributions/laplace.py,sha256=2cxzoHqVVFgPhk1qumShiL-hzZfuXCSBKroc89s_9B0,3127
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=6wSo65Np9qxw6H3v-oYTSLUtSY-c5uuykqxNE4-8Dco,9846
torch/distributions/mixture_same_family.py,sha256=2URIlZUnpvRhUnODB-q0vlZygy9qO86NpCHT95hUHbo,8509
torch/distributions/multinomial.py,sha256=VG2iK5bG-UvrWjo5vahtmYC9jEh-IX94n_KB4rZxPro,4323
torch/distributions/multivariate_normal.py,sha256=-heR74GMZr9vmMDXVgkeHQqCeRwsDgt27IC6I8IONAE,10370
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=aDZ2Xd1G9u3kzpvfxPUEOTucC0njUyHo9OGGQppKJ3I,24839
torch/distributions/uniform.py,sha256=rBSvRq2ZZm5ga5xzNX9CMCIq-EVyfKTaVN3q3MPN9vA,3066
torch/distributions/utils.py,sha256=ImsW13rpcys8Lag2YIJ1AVqndKfcCPwNQdX2BLQJimc,3873
torch/distributions/von_mises.py,sha256=QlBH7ANcQmVe66w5dHq3V0K4_2--7WKyYVP3akkOcY8,5157
torch/distributions/weibull.py,sha256=kJ6YJRO_1_XSGUe0UV5Jc4hVDOO3laE7StI8xRTYISc,2825
torch/fft/__init__.py,sha256=XS2Nd-ILY4ow7v5OEMawxap96C-KyOy4wjIUws3ueUU,22309
torch/fft/__pycache__/__init__.cpython-37.pyc,,
torch/for_onnx/__init__.py,sha256=yeSnYRIZb8wbAiif5q5sZ0isrDWy8J40jtYDOkQz6LQ,20
torch/for_onnx/__pycache__/__init__.cpython-37.pyc,,
torch/functional.py,sha256=6ZZfjwvJkaKV5i78UJdEhOQSEboOhInbln5HQehLYXk,63373
torch/futures/__init__.py,sha256=AQxfWdJyVRUlKG1UdkJT1hfwZLh0YP5UHTXkYr_M-MA,5668
torch/futures/__pycache__/__init__.cpython-37.pyc,,
torch/hub.py,sha256=ROwif0M0MYBMBt3DQ1aKT0_8o_CZTbLcVYECAAygyaM,21448
torch/include/ATen/ATen.h,sha256=O3bbNlkwrGaRW33BtBywQLeTJYn3kcmvMrLjO4hIby4,963
torch/include/ATen/AccumulateType.h,sha256=U1rEwfVqcv-VY5L2aTPKoJonSvxJynDFVazrfACkhzI,2588
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/BatchedFallback.h,sha256=VOQbZpUDg_Pz5Y_CxChZfh23zcWCo9XeOctF8_MMQpw,965
torch/include/ATen/BatchedTensorImpl.h,sha256=JTwu9R2azj-T_CSxmEUiPLOqeI0jkdgi6wFGJVkAwOQ,4997
torch/include/ATen/CPUApplyUtils.h,sha256=Tu2RjWvwTnlCBYfY0mrj9dHD1o8g6WdieAiabP4DHK0,12582
torch/include/ATen/CPUFixedAllocator.h,sha256=cAizcNNOwwD69qY5WFKZlzhLWXifjQerfitUkR6IJO0,817
torch/include/ATen/CPUGeneratorImpl.h,sha256=jY-a2QkGBh4ov2zIpB57vPoAKf2rzBAJgB13HqMYXfQ,1298
torch/include/ATen/CPUType.h,sha256=eMBqWGpDDAWmda_MEJvzIX5mPbE1faUWw2P3gEBZyYE,75914
torch/include/ATen/CUDAGeneratorImpl.h,sha256=N7VlImlWrl2JGfkl-GhPAUQFyVf4J1MoJybGF5Xi-nI,1152
torch/include/ATen/CUDAType.h,sha256=g2wjZGQUgHL04CjPIjNQqHsFmpnS1I-5Sc729RuaRPo,86905
torch/include/ATen/Config.h,sha256=8eG4E2MdH8YPsYiMql4cI22B9e6q10eTbt0__-W7MeM,582
torch/include/ATen/Context.h,sha256=Q79BVSU-On_sFWjekN7ljG8ace-gQwLyRvJLxC1GgRQ,11419
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=mwuIK4ZY-P4NDmSWbcjPfsWpHnvcfBUlrcynup_vCMU,34750
torch/include/ATen/DynamicLibrary.h,sha256=bI_sXoVmC5ltfgBFcbcd2v0lHc3wBPiKd3sq-K_EK-c,340
torch/include/ATen/ExpandUtils.h,sha256=toNCVLARY7v3-xO02q9P3E8TXYvkxd7XMWCp3eAqf3k,7015
torch/include/ATen/Formatting.h,sha256=u9t8xVe-WAEXzWvHqFJ93K566ukel9wsbLhSEUeEqyc,34
torch/include/ATen/Functions.h,sha256=7LAHI88zQHA82DRlCb3kqvrMJD8KjCvkoqU0jBJkX8Y,177869
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=9K28lohR_dF7dxjnwD9Md3-ngW3j3vT4CMwUQR-xaTo,3454
torch/include/ATen/LegacyTHFunctionsCUDA.h,sha256=Cfv26t3_tahMVuoa7NEh72jDLkp58BAUns7wKPJE6mY,10809
torch/include/ATen/MatrixRef.h,sha256=Nvlc-ngj672FnsLo7s6n6B9S2BjB3dNf614X1BEfF4s,3016
torch/include/ATen/MemoryOverlap.h,sha256=uF8jBmgOaxY5CZ1kDddpsLlDTIcn94jxUHvbE6W_JEc,991
torch/include/ATen/MkldnnCPUType.h,sha256=gXkWUgw_ZxY5b0kEBN5Dxl866z6AaiUJ_--EosQgAzs,3868
torch/include/ATen/NamedTensor.h,sha256=DMs7TFFl5X2V_3sRIg9-qaiiC94x9s0n0SEdYf2SaHE,35
torch/include/ATen/NamedTensorUtils.h,sha256=EMmm09FcsxrrUeL6B_C70z3vgB0Vgj6VR-s_O7DArd8,5729
torch/include/ATen/NativeFunctions.h,sha256=cwpKr2vfROzPTCp8c4pJ9PonKy8oLJqv6FCDRk3D7us,247533
torch/include/ATen/NumericUtils.h,sha256=jw7N9dhr5OeVibFGR70GqCkYLi06M4hykWJtjW2SzyU,2549
torch/include/ATen/OpaqueTensorImpl.h,sha256=IttLU1CwaXP639cUIe9wzdi9_oUaKS9og7kxlpHyUuM,4637
torch/include/ATen/PTThreadPool.h,sha256=RFJLkNolq98CEC3Hvd1OoI3opWzsKUMwa_GQOTWBk-M,395
torch/include/ATen/Parallel.h,sha256=XRUF63s3SYrZbWObKuCryqG9zgSqNjDs6UZuXpxnv2o,5051
torch/include/ATen/ParallelNative.h,sha256=iZh2V3U8HLIS1GMn9lPVkpTZeVxAoc5E0sG1awvst34,2360
torch/include/ATen/ParallelNativeTBB.h,sha256=A2R6Hwm8bJHIP_s9_c6QVlp1RidyY7bIakYqYPW-V2Y,2646
torch/include/ATen/ParallelOpenMP.h,sha256=2iVJIgGiGRthkorlbnEbqSEAbYqh2k8iD0zmLlcfovs,2918
torch/include/ATen/QuantizedCPUType.h,sha256=96PZF_0W2aFYvM8XqcMM96bbofv_DFd8FCXTKqv8Hhc,7714
torch/include/ATen/QuantizedCUDAType.h,sha256=NxafbUjMVkstDeSDrG93T_1cHHJE8_e5fUI_L7nbq00,2261
torch/include/ATen/RegistrationDeclarations.h,sha256=8tWPkrhelOCQpPfVCp3VmND32XohXEwCL_UxTJE7Rig,419386
torch/include/ATen/Scalar.h,sha256=4uRhX5Y1wZouuAi4M8BriFoqJziRckfzIh1o7E3YS9k,44
torch/include/ATen/ScalarOps.h,sha256=88X0uk7MiIM59V4ZhdhwTuIC3roKNrdxfg9mcPX1JLY,2526
torch/include/ATen/ScalarType.h,sha256=YpUjgU8zTuDmlNt8pnUpNYjKVs-sJ-YUs4enjKJr72k,129
torch/include/ATen/SequenceNumber.h,sha256=06Ir3Q7RtLGcx_sJfZSA9ES8s2qoB257d07wUbngTDw,373
torch/include/ATen/SmallVector.h,sha256=b0zRaURtL0paOFhxGgB4flh3HczjPSX6gQ_GQzOOtHs,47
torch/include/ATen/SparseCPUType.h,sha256=DgfAZv0Q6Z9np6qvjYCruTZCC-OG2W5L59ORmis1eZw,5665
torch/include/ATen/SparseCUDAType.h,sha256=tNb9m7c4Qmu0UcHFj0_7iblAxoe23Ka9mBwp-jsZsgg,5981
torch/include/ATen/SparseTensorImpl.h,sha256=8PJpdmJEj5Kq9tKgzaWULRL-dFlXeXH2nEk8ZYt_H7w,11464
torch/include/ATen/SparseTensorUtils.h,sha256=r87j0IWNaZDzLyglsD05BLW-rXliG1s7ATN6FUeOXNg,5387
torch/include/ATen/Storage.h,sha256=EgzD3SO1khvg7pZDcTsqoI0FFSlsZobb6FadLbAhJ5c,43
torch/include/ATen/Tensor.h,sha256=S-9l-hNuMOEFXfQrWfGJAlXextJoVVAAWYQSGsBhhlg,48
torch/include/ATen/TensorAccessor.h,sha256=0oPU5QjZ5q_5qJ54cCEa18Zas4Z_IMTVAT09j39idII,51
torch/include/ATen/TensorGeometry.h,sha256=wIkeLcFBwZZ1TrlIG_J3638efw9BMAPmDu_EJIDPcSs,1856
torch/include/ATen/TensorIndexing.h,sha256=e1hwdlltlmdd6aUXCvq9AlaK7cNWLFX7TrpyLUH0FkQ,20910
torch/include/ATen/TensorNames.h,sha256=gkKIQ-3k7fUFc5c3Wgb5rHwM5HJ1G8RTfyrI6A40cvc,2522
torch/include/ATen/TensorOperators.h,sha256=M5pKapR5xhHQfZ8N5q9qir2efi9WZ-bLzi4Eo1r3v6w,3261
torch/include/ATen/TensorOptions.h,sha256=0YGOolxkjb6QzEmeZ6xuo0bamoTct5GvrHAtPoMH-fU,49
torch/include/ATen/TensorUtils.h,sha256=VSyLtwW5wnR31CI2e1VMxMfCVAc58GCquNi0jdR9VpE,5333
torch/include/ATen/ThreadLocalState.h,sha256=X3GHE1g0oz0ogSjje2Vo_9pdAOejXghSPKGdl8IkDSs,2116
torch/include/ATen/TracerMode.h,sha256=SNvIGtWgqzj1_k4aldW1ggJMKOm8qcGewcvPcmL5evY,5513
torch/include/ATen/TypeDefault.h,sha256=yxCSubTeXHMknhCXuRFx6mZx-Q18-b64mbM62Hg-PFE,77310
torch/include/ATen/Utils.h,sha256=uZuMqw-hSZ685WhPqNK8-sxRW6lOHLOiT1fr6T1zw7Q,4917
torch/include/ATen/Version.h,sha256=pDBWKAxnYPFO6zeTEeXDtVpoGPEkKExrpnjxqZBZ9q8,304
torch/include/ATen/VmapMode.h,sha256=KQtlaINE9FjaJk3bTgDeFeEEp_8LMFxyuSZMU7KioAc,953
torch/include/ATen/VmapTransforms.h,sha256=m7dqiBP2iK-ngq0jN53bnHWMnvyrnFAvXD2ZrOe9dOs,6591
torch/include/ATen/WrapDimUtils.h,sha256=9zWpZ8al48aimN2_hCfLjt6sfVpCzOf-kf0tT315p0Y,3172
torch/include/ATen/WrapDimUtilsMulti.h,sha256=sqWpqV8qwiuejVcSMKQeeHmBOrizdyYBYAlNfI-5RqM,768
torch/include/ATen/autocast_mode.h,sha256=EzpMk-BkUT0E4PTf-qavdJ-3v0RJ1jCiw01OOioHa7g,4490
torch/include/ATen/core/ATenGeneral.h,sha256=dcnASl2yEZMXGYbsBQkH1W-KLBoQTSSoEfujumNJHjM,45
torch/include/ATen/core/ATenOpList.h,sha256=xS9sx2BB4nqOh399oPOUgFckG39k4iNUjVRacyGzIQQ,247
torch/include/ATen/core/Array.h,sha256=fwLorc-LLJNcRVQgHfg3ZTkedlVr0Nf2yyRJAv846Dw,768
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=5wfBTdgajmYWLVzp9iBf71vp4JZbMGMfXDMYtO4uBzk,13171
torch/include/ATen/core/Dict_inl.h,sha256=Ac3MuBC2wqzpdz6qA9Ovc_5h9WhVhaBncViyycDFXAw,7949
torch/include/ATen/core/DimVector.h,sha256=C6BC0hZ_Br8deZ9-2K4xJipMU7cy19BZjPUO9bNXDag,247
torch/include/ATen/core/Dimname.h,sha256=DKNfRaZXIne26flICPUveuRsZlaX7cl_RCvDuhUT-j0,1185
torch/include/ATen/core/DistributionsHelper.h,sha256=r2_jHRUwe8QrCAhdKrb24DGjAiqucxYUs4RLGJqg0kk,12683
torch/include/ATen/core/Formatting.h,sha256=55Njlw9ZVwHVwNfWc0mBJGQdpcbFiVKT2Wly5Oa52zI,744
torch/include/ATen/core/Generator.h,sha256=udiErTGUntEk-_qhczwQi1EcSVjOUrF9w8Q5wDI6pXc,3869
torch/include/ATen/core/LegacyTypeDispatch.h,sha256=WlOKVKkkf5_slrlVRgbaIzhdrhUQmAHp3XYxY15bQ-E,2467
torch/include/ATen/core/List.h,sha256=BKFdAdAqqo0ZUR_R62MAYCGA9ZjzaUqzKZGi8y8amhI,15389
torch/include/ATen/core/List_inl.h,sha256=y0KNkgMmV287UmaM4MRUZIlzHcBZD0WP6UNV5JDU0hA,8964
torch/include/ATen/core/MT19937RNGEngine.h,sha256=Frwp4NEBSulZ3EO5bGlked301r0MhuOKFF4uQlDwpmQ,6447
torch/include/ATen/core/Macros.h,sha256=1k9nrN62_VHTu86s50xS93BaLqHZ5mK09MVLtyBs7Pw,44
torch/include/ATen/core/NamedTensor.h,sha256=KIZRQkR2IR3imOL4SdfSCa9P1FPPlpt_xHPqJ2KGGa4,4983
torch/include/ATen/core/PhiloxRNGEngine.h,sha256=sJ9B74oVmMNZyy4azFEyzyZOWCEuFOGdhB-T239Xl0k,6503
torch/include/ATen/core/QuantizerBase.h,sha256=vCEdY3hZwuNtP3ZHnNBvIw09oq1repZf1i6L_tYC-2Q,2330
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=S-9l-hNuMOEFXfQrWfGJAlXextJoVVAAWYQSGsBhhlg,48
torch/include/ATen/core/TensorAccessor.h,sha256=9NQMerJifJjbo7jNU6LfdRtJM5tdjnj2GSd05v1OV4o,8813
torch/include/ATen/core/TensorBody.h,sha256=SPf6ubY5z2qsya93Uymm7b3J6zGb8qI-Fb1fmTejO6E,60931
torch/include/ATen/core/TransformationHelper.h,sha256=SRBU99KGbyGegzWgVGHebMJD1BBr400I_61idEgE8Wo,5277
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=Ydk3ulQR_o96OH3nrIbpy4cpezYjFHM9ZfPfm-KtnBc,2654
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=_tgY8IvVPRBuH3n2eO0emNZpyCexeGKTgwauy4FiLNc,24660
torch/include/ATen/core/blob.h,sha256=ZUdNlVScL87evOw2mu9oS0EOv00ASx21_AWQzjXb6fs,5345
torch/include/ATen/core/boxing/KernelFunction.h,sha256=PMG-ZpZlDzrowuy6X01OspvChXmgE65QohKWlgPR3TA,9629
torch/include/ATen/core/boxing/KernelFunction_impl.h,sha256=15HStjDjC32ql_mFbio9dwnXR9kJ05lYTsUQUKeAHd0,9842
torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h,sha256=JhAmlBXBywENC7AHTkiV4fuYpJckLXP12u9SUoZ5NeA,1295
torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h,sha256=nIpD8XFNKEIJdR6RgF9d3-N0uOSBgqKYIzBw6P0iBVs,1454
torch/include/ATen/core/boxing/impl/boxing.h,sha256=nwoaKZx9RwbG3nU_PaXYXeR1VzXVX80lyhCycYH0kqM,9106
torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h,sha256=DxLvf5pp85f4kaeTntCo8K6oOO4X9lOP9CmbdbgzmS4,21263
torch/include/ATen/core/boxing/impl/test_helpers.h,sha256=Sxz9WGv87wIoaIrc6nRGmxOr6Hs6GRlv30um3HU6Qt0,3996
torch/include/ATen/core/builtin_function.h,sha256=6jDNO44iedH1HouQkWGUuO8jc9weBiKLMRTSmNDw1M0,3106
torch/include/ATen/core/dispatch/CppSignature.h,sha256=mEtUBNriYueZc7oct-V-vXDET5SPj_go19fFSepROOw,2050
torch/include/ATen/core/dispatch/DispatchKeyExtractor.h,sha256=iGVsW3_xNApJ9Mya4uIzOtGAAmonPLGZMdg4EXju7wE,7916
torch/include/ATen/core/dispatch/Dispatcher.h,sha256=KHSCKntY26eMPWmiPXmk0pUFbZiHnHghLUxcqkXYOHs,17590
torch/include/ATen/core/dispatch/ObservedOperators.h,sha256=ZjuhHNuh6GJt7kYsTiolR2hJjqgLmxRXlnR0FGdPGwo,215
torch/include/ATen/core/dispatch/OperatorEntry.h,sha256=dasDyknub1zr6w6UP9V0NjL7MKP574IzakAbix1RuS8,11203
torch/include/ATen/core/dispatch/OperatorOptions.h,sha256=Kzc_qB8w3bMoyojv5RuhPcPaSRd64V_etw_n4blnHIQ,923
torch/include/ATen/core/dispatch/RegistrationHandleRAII.h,sha256=e-Mj1D2ucxcOFm_VvYWsNuRxasim7WyrfkXvlfSTIhY,858
torch/include/ATen/core/function.h,sha256=BLHQch8O0EqJzVkzJemKyhWP0aYjBzPTSJ6inmRmzOU,1828
torch/include/ATen/core/function_schema.h,sha256=N45tB9mlZK_9uGZHa0N6prhFbuZAxw_6k-hg-tHUp9g,12487
torch/include/ATen/core/function_schema_inl.h,sha256=eqdSs5_AqrA7SgYpknD1RfYtjaoBA6fGhZKpPOzY2Zs,9722
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=e-7Tpvne9y6WR7DAL0mhcNNMBBgIUFj7PPEi646Feus,20667
torch/include/ATen/core/interned_strings_class.h,sha256=Jcm9ftwxRjPr7ahGu_0tV4P7JtmJr5V3vCAzZDJU8d0,810
torch/include/ATen/core/ivalue.h,sha256=GnTppd_Ccy2Blpm0IP2QBPORQQlJk1BNB8a2RTKWnkY,28656
torch/include/ATen/core/ivalue_inl.h,sha256=FT_WF2WPHa5cnUE2-KzY374EJuv8hn9MAux2-xPY8yI,39663
torch/include/ATen/core/jit_type.h,sha256=SjPM-XKTADOhD0U6NQfwnh6N3Ym5lQVRQo4A5un63jU,74096
torch/include/ATen/core/op_registration/hacky_wrapper_for_legacy_signatures.h,sha256=-1kEaef345SuJXP5He-y0p18j1T18YiZQUseu9-fI4M,11006
torch/include/ATen/core/op_registration/infer_schema.h,sha256=7z9HKcBvUCWL7ODZ0cRruElnhfNX8jWzELsP7Xc3Azg,6543
torch/include/ATen/core/op_registration/op_registration.h,sha256=WyWrYM2A6CGGbtaBYN9AaxnJHMzvkW2YHvvqVk91Zws,28259
torch/include/ATen/core/op_registration/op_whitelist.h,sha256=0jIekrm2Sn6_FJN3p6-dsAvJ12ii2Gkwzr_oajQwjuQ,3892
torch/include/ATen/core/operator_name.h,sha256=leiwwp2TDbYXG_ik_s4efq1Lh8AuhLCzF-YFUOVNwsg,2721
torch/include/ATen/core/qualified_name.h,sha256=CsPzqxp4BZep6XUZpQprGDKpZnYnyBzZCeot0_vwjlI,4322
torch/include/ATen/core/rref_interface.h,sha256=CYV4Gw16eeneEp85Chhc7DCs98J2pR_74rtisgtWAqY,1144
torch/include/ATen/core/stack.h,sha256=OPT30Eb4M2WRv_ukeOLlkS9OVwmxcnm3R9FSNoT_oDY,5102
torch/include/ATen/core/typeid.h,sha256=kuExuy1u5A34ATIuUUgf_aPWYvKKXQwfE0OLtHs8hhM,29
torch/include/ATen/cpp_custom_type_hack.h,sha256=y-hPaWBV6ds9c-nTG0j4vvqZvk6pB2f4VDoQKq43O6A,2097
torch/include/ATen/cpu/FlushDenormal.h,sha256=aKtxcj9HdsP-1KXLlbtyYCwpQpwoI_AjcqANFkLQGtY,549
torch/include/ATen/cpu/vec256/functional.h,sha256=RaoYCQ4GOqjSIbs9dQVAHvdTnvXFS3d3hfBi_uWe3sI,8108
torch/include/ATen/cpu/vec256/intrinsics.h,sha256=DLdzBSupi1m6Ts0Z0JGODkpmLtfoGi-FIxbbNKoHn_8,1752
torch/include/ATen/cpu/vec256/missing_vld1_neon.h,sha256=jhCi99_DcoWTgf_EwkfNniQo32qSgOlep52VhoCIcso,13223
torch/include/ATen/cpu/vec256/missing_vst1_neon.h,sha256=p7Aonsm0oU19b5iehkksUH9cpgZ4ntqBXOlB1u2YYBg,276
torch/include/ATen/cpu/vec256/vec256.h,sha256=deHtB6NaUOMCNZg257eVR8DOzQDQGusQg2FRfBNwR0s,8998
torch/include/ATen/cpu/vec256/vec256_base.h,sha256=OjxARO8c5BpdJvoQytUc9MMUij4-tNmf96lJp_nxmk4,32349
torch/include/ATen/cpu/vec256/vec256_bfloat16.h,sha256=icIw397G92vOeqLRyO-qJk0MjS3-lOK6cA3h86eBo18,21090
torch/include/ATen/cpu/vec256/vec256_complex_double.h,sha256=BcOzQJav80YsRgLhTA4f7z9ATiXJ0IU267-jAcWbN34,18595
torch/include/ATen/cpu/vec256/vec256_complex_float.h,sha256=5Z-mtBg6qZdkpqoB5VQeBekK1V431Jed9p00BFng2xw,20603
torch/include/ATen/cpu/vec256/vec256_double.h,sha256=jB9GOpibqrpW_9wRaLCp4otWXwoL7WtJe0PMjh9PBu8,11693
torch/include/ATen/cpu/vec256/vec256_float.h,sha256=CJEBQV1cQTvaORvx6UGDjJ05-EzVfJIOpZehWfr3r2g,11843
torch/include/ATen/cpu/vec256/vec256_float_neon.h,sha256=HkNFSXnysAlFJn4mklmbEWRsuVXUz7Ot88EpmnAzIjk,21247
torch/include/ATen/cpu/vec256/vec256_int.h,sha256=Jkv-kcbBRvx-huXQWSaNMB7YYB_H3o0KgTSAf6NQX5A,40672
torch/include/ATen/cpu/vec256/vec256_qint.h,sha256=9vDdGdcpFyoqeTpfdohQaIk3y3RKY3zUyzsXjCbaWYI,51288
torch/include/ATen/cpu/vml.h,sha256=Cfg_4urFQnyVN52iutUnsO78HQhooyBkcQUri58YHlQ,9168
torch/include/ATen/cuda/ATenCUDAGeneral.h,sha256=xtotPB400x5oXWdcaYRzSK1EGfu8DAVUn8X5EDScX0I,165
torch/include/ATen/cuda/CUDAApplyUtils.cuh,sha256=1cfwxIZO-zEI5zhjN2BNZ8WbyFDmFQbBQbz8DqZsD2s,20721
torch/include/ATen/cuda/CUDABlas.h,sha256=M7P4QJn_AYOo9mGHiCt6zr8TlOXx6obmwTFxz4kySe8,5446
torch/include/ATen/cuda/CUDAConfig.h,sha256=ek2tpMXVM7PeX0Pq7bR1AziTpmGChnNNRITLsABIMIc,440
torch/include/ATen/cuda/CUDAContext.h,sha256=fT5YkCkCbPcq_-t_WQia-M6XgZknBJpy0ntp--eZaoo,2129
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/CUDASolver.h,sha256=UxDCkIeUq0znkbEDFV_mNplMuvMuj1P8DzSqlVrdNYM,1090
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/DeviceUtils.cuh,sha256=4p8_93-qcFjylDcW9DCnRN4RiHRbFFMJW9sLtVbRpxg,2977
torch/include/ATen/cuda/Exceptions.h,sha256=3y16ukpdQCWMTgncU8LT2gwG9L1-fgzQnkDYPxGggwM,7159
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=3Wh9X5y1XyfXiP_jMLFTon2TkBqCV4jJegZELVOP1TE,1862
torch/include/ATen/cuda/detail/DeviceThreadHandles.h,sha256=FMRcpAJlcAJ-gs60gSHWGJDdw2sC58pn8XggRNniu8Y,7022
torch/include/ATen/cuda/detail/IndexUtils.cuh,sha256=Kz0hfgJ2h1uWXSo-iqJ-n_92mputdJDKRD25LDSiZiM,692
torch/include/ATen/cuda/detail/KernelUtils.h,sha256=Ra42dc-UWEIxdyWMAb_jdPrbMQCUIHni_7QvqmhL0NI,1552
torch/include/ATen/cuda/detail/OffsetCalculator.cuh,sha256=GXLnNGATmyTeOBSSts8s8IN06p2mquVgOuGM-E0S3Nc,3346
torch/include/ATen/cuda/detail/TensorInfo.cuh,sha256=3bo-19mlKWya5oW7_2-Sh53xu0NP9jeaAVxGCBkxVe8,3229
torch/include/ATen/cudnn/Descriptors.h,sha256=MgG3Yh6uHFC8tf3sTOnMf5DIZTNa8IbrW7-aqLOjwRk,11270
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=bgHPW9JYy9t9XJli0Ac9KY36JRpO1OMfE6LXqUxV7IU,318
torch/include/ATen/cudnn/Utils.h,sha256=ORoneOi6KlyFxtHeDAhRn4CjSpj2kTFMlUUWFp5N8LQ,591
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=v_ncVg3GUGlTsFEiF7oRHrdXcoYKJc-m0CRUSGqOpHU,6725
torch/include/ATen/detail/FunctionTraits.h,sha256=Q30moAQXtQVhvKyz_5mfPavsie5FtbqdRBjvwvjSK8U,2324
torch/include/ATen/detail/HIPHooksInterface.h,sha256=nXoJXQec8932BRZBRBnNlfL_bTwpKwAc11c6DJC8gEg,2014
torch/include/ATen/div_rtn.h,sha256=IKXS4Jm0ZsNb3zOh6eGGuSb2Jqpo0ifqPtoVXBCdBmQ,205
torch/include/ATen/dlpack.h,sha256=9Q28aEpXwUOtQ8pO_5vPHdrZYz2J5Qs5ITPIubzWAeI,3621
torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h,sha256=zxyh3pyzeYr_-iqkx_4wJtqKARa6M6ivKI84780G-ig,870
torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h,sha256=FpVq1Ql4dlHg6azUYednrZ9FM_rzMENUuG_CNcHNpEs,505
torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h,sha256=FTKYqUZc9yD92kdMxV5Snd8CBzQGB-kcqlmM3ZRspi4,11835
torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h,sha256=URiWLbWvwYsU7iLBDn0LWbjEB4GkOTHyILRC8vcS33c,3795
torch/include/ATen/native/Activation.h,sha256=i73HlaHKW1l4aVdUSDZViAfERY6DK8cau-hgrmtQpH4,2431
torch/include/ATen/native/BinaryOps.h,sha256=xilLsps0lSyPnVMDj5mdhWKTyVdz7YijLAdJ0Yv-yvQ,3187
torch/include/ATen/native/BucketizationUtils.h,sha256=rWqceXt7sZ9ZS2iUVxSK5m92I0Edrz21vp2WiNeawYI,4241
torch/include/ATen/native/CPUBlas.h,sha256=29J-8fhQof0sS-GT61fLaiQjmUUJcLl7Emo-IEKpqBw,2590
torch/include/ATen/native/ComplexHelper.h,sha256=XHaB6kvKgMw7tQmADIVHoJSZCYNHzBPWdigK1jIj7z0,3198
torch/include/ATen/native/CompositeRandomAccessor.h,sha256=VvKaR1A6ar70uRKUWAx6k3sgjDd-AY4VenULKhiDH34,888
torch/include/ATen/native/CompositeRandomAccessorCommon.h,sha256=zI4Yzrj3mSocs85JBoK1E_xLAWJ_FL-siPhlGmKDw9s,6655
torch/include/ATen/native/ConvUtils.h,sha256=K1zLbvt56jzivrzzIxlA-UeTb08HDWQQ1IVohV1PyRo,3711
torch/include/ATen/native/Copy.h,sha256=K-1_9HxHGu04WrbvBcSNp_WoWFM1oeftS4nkV5TFpyQ,278
torch/include/ATen/native/Cross.h,sha256=LZHjLMBZLAng2Rojk3QJMDib1FdRPHsRU6afpdoKY2I,263
torch/include/ATen/native/DilatedConvolutionUtils.h,sha256=FcDj0MnE2m5QSwo5YarHIa_P37uiadPN0EbztkC5IKE,6416
torch/include/ATen/native/DispatchStub.h,sha256=RMGhLmOSjB6ZkdTYq75nx50647YzFklM1bvJ3FMb8Ew,6781
torch/include/ATen/native/Distance.h,sha256=07xkqCU8pqszHp8sh9ACvSeC6Ajn8TsZGIrnLDIJjN4,732
torch/include/ATen/native/DistributionTemplates.h,sha256=5RWcEzqbDfFFb4xGWthbJVY9mvCJtLFdQEgY3JSUD3k,18187
torch/include/ATen/native/Distributions.h,sha256=r6QE2hlxMNLyXh5ySUGu6nFMod9nu8JOfMMhWKBJarE,21855
torch/include/ATen/native/Fill.h,sha256=CzEvSC0C5GUxmqy8geeButVST7w3KD2QAfXdWl6ltjE,323
torch/include/ATen/native/ForeachUtils.h,sha256=vHkwUZsu28XRlNrLmPMdxepRfOjMBxrrXUsSFOJvigU,4972
torch/include/ATen/native/FunctionOfAMatrixUtils.h,sha256=NYYt5KHDVYrO8w7qBfaXefZmj64WoCoY6ckP19rJimA,436
torch/include/ATen/native/GridSampler.h,sha256=9vR33c5ImINHTzQd3yVQOLt4XGWDKpuQyTmFvMqsoaA,8269
torch/include/ATen/native/IndexingUtils.h,sha256=YPz3g4yaPrfpwVbg-Ow2Wnd1AaEfbNZLPHFZKm3Qe6o,4498
torch/include/ATen/native/Lerp.h,sha256=OS07FJwkZiYWJsJZhUvYz9Anvc3xypvY10aD9q4nxdU,546
torch/include/ATen/native/LinearAlgebraUtils.h,sha256=nuUsaoXlzz6LYb_WRK_UmV52y05-4Opvja4SF7Qe5iY,13407
torch/include/ATen/native/Math.h,sha256=35x5h-xkKdPCgLftxQ_LK3wzxhfUT8Tl6ipfrjH_mWU,16618
torch/include/ATen/native/MaxPooling.h,sha256=HdGPEAIDvu9ta2pB60n3HnKHdCDgYNYEm1lA5hW8Vp8,1234
torch/include/ATen/native/PointwiseOps.h,sha256=KHTN5OGWovbz9u7Z34Pz0mz72aqsSQQ0ylMwkS_4O3M,576
torch/include/ATen/native/Pool.h,sha256=-NzbxAFQt2tGj24zwuJ-jsz_h6CXkEFJN7-O7Rn_NBI,8287
torch/include/ATen/native/Pow.h,sha256=d6Ke0HRkb6_A7QIJBkdF4w4mtSZpyhMY4fY7y6ButF4,1680
torch/include/ATen/native/RNN.h,sha256=mRjyKxHehbJFOykWdy8MbNkEa7cf5qhtUmodIACQK8A,2467
torch/include/ATen/native/ReduceAllOps.h,sha256=6TWMYPXSkgWV_fAxLE3HOIE_tIRQdBhONaefdJVoH58,434
torch/include/ATen/native/ReduceOps.h,sha256=4pir9veq6uUGz9InRciZH3AUBPsUZJCjO1pk6ge_xe8,1251
torch/include/ATen/native/ReduceOpsUtils.h,sha256=uVGgUVddJ78mYHxcgC_kJcfxTRQ538bDhsUjba-yFKI,8302
torch/include/ATen/native/Repeat.h,sha256=V5K6D0FPb_uzkx5EYk8g-_tW17UbtbJRnXjYwsALTxM,1028
torch/include/ATen/native/Resize.h,sha256=kOv1FIIvasJ7wYUMo61d3DmKEtL-0kt9Y23POWeRkNk,5903
torch/include/ATen/native/ResizeCommon.h,sha256=TPtbspgNmlFgqxfym-MInw3UBTDRuh_A2Tvmn8ammq4,824
torch/include/ATen/native/ScatterGatherChecks.h,sha256=8CEd3RUQ977SzIzZoFVoRvS2lqxqCA4NMJc4FFv__BE,4016
torch/include/ATen/native/SharedReduceOps.h,sha256=pWrjtFpxBQZdirO-UCNwVzR0DDOcIGyj7K9OUK4Gdog,12348
torch/include/ATen/native/SobolEngineOpsUtils.h,sha256=l8h0og8dQudMl7n80oTh8BhAQi37p29uQRO01Aw2-xI,1646
torch/include/ATen/native/Sorting.h,sha256=ax2ciV4J9lMXqMozsXRt0uIUazxXIqzHhqfpIznmWLY,382
torch/include/ATen/native/SortingUtils.h,sha256=U_3rkv3YWnb9XiQa-IUQViFvxJqAAofiHCGEMYC203w,3536
torch/include/ATen/native/SpectralOpsUtils.h,sha256=qIJeRfqnZ_SkiGju1j_Px5SoYFT5oaQrPoROoobCC9k,2322
torch/include/ATen/native/StridedRandomAccessor.h,sha256=Rt-mVFb10NL5bJfslT83KheJkGDBwqkwUy5Ushm6z5M,6852
torch/include/ATen/native/TensorAdvancedIndexing.h,sha256=F5kOecffYECham_aJfJoCPERmBOf9akwgQM4NwS_KwE,2213
torch/include/ATen/native/TensorCompare.h,sha256=S9BN-Cfu56dBURgrr5YWCLZUfzYpkAnkDbdb9HxzUrY,699
torch/include/ATen/native/TensorDimApply.h,sha256=jE1r3yhavC8Uws3b_mJ3ABeL4O2KA7iJFaVqBixdCZ4,1832
torch/include/ATen/native/TensorFactories.h,sha256=p8fAZuE_jcNpu8qTc3qKDtSmw4f89Yz6L3Yz-A_sjd4,3437
torch/include/ATen/native/TensorIterator.h,sha256=0OkHD6i9VfzjWOfEyd0zXyeDSebnMUx_JLDLoxECJrE,21558
torch/include/ATen/native/TensorIteratorDynamicCasting.h,sha256=NI55wxyNXx53ZhMN8ZAIInarAGm0V3BtJcSPAaxS4xQ,2099
torch/include/ATen/native/TensorTransformations.h,sha256=lURYSwu_ef-E8PPW_zMpnzlvRlwCXNIozvhfLiSDH7s,2058
torch/include/ATen/native/TriangularOpsUtils.h,sha256=XRKLX9BKRvhYYVezlJ9o6dWSBAm39wwgSe4CZktRmXQ,2000
torch/include/ATen/native/TypeProperties.h,sha256=yOIoTWqsfN-QB6pd7R9r6EYBUNJmXwBOPKYO-_NXCGE,499
torch/include/ATen/native/UnaryOps.h,sha256=-JG_gdJatvKKkMnOWFXHOUKzbXxl3qMZbQPjZD67KIc,3853
torch/include/ATen/native/Unfold2d.h,sha256=KLLBie9wKKi0zvpQPCMiAuOh3eVVcj_KNBxwYNKiZ8k,551
torch/include/ATen/native/Unfold3d.h,sha256=WLDYYlEkh6Wm0tvk32XEmNXoj9IhR9aG1YwHxToXTEc,852
torch/include/ATen/native/UnfoldBackward.h,sha256=UgJnRfwWdvgp8w8yV_79DzQ_TBC-zDVAlzpea4eDu-A,5387
torch/include/ATen/native/UpSample.h,sha256=D5HndLhZYaP9Na4a2lFdyAahtK8LoFuQhthccuEX9Po,11688
torch/include/ATen/native/batch_norm.h,sha256=C5jpcoNWioIhtI0-svdGscGvktRZAKGJyYQl8CWqD2U,359
torch/include/ATen/native/cpu/AtomicAddFloat.h,sha256=eyQEGtXfu9DRmALIgDfsO3iR5xxJacDvqmNjfJCeBvs,750
torch/include/ATen/native/cpu/CatKernel.h,sha256=9_tP-nYuzGLOkgsbln5DvvDnbliH11ysParweob5AQE,252
torch/include/ATen/native/cpu/DepthwiseConvKernel.h,sha256=bNm-Qf_lOmJzDSA9m2Yi6sVJjDgABrZGqwhW3vZ1sCY,447
torch/include/ATen/native/cpu/DistributionTemplates.h,sha256=HA4Ai9rxGwe2sz-7hJQXogQCPWw-_aH9cAWZb4lbW3g,14000
torch/include/ATen/native/cpu/GridSamplerKernel.h,sha256=OjLHVT3c7heCP8GuPfO76zo5rCH_ni_QvdhwZYr40MQ,592
torch/include/ATen/native/cpu/Intrinsics.h,sha256=GHBffYMcMiNJSAznRJSq7zhn0vOH7nzQ9TvFF2lmhqo,1039
torch/include/ATen/native/cpu/IsContiguous.h,sha256=R2CcDCHnwfk7m8Yx3_uvh3IACwvjbICUND1isqN2cFo,2414
torch/include/ATen/native/cpu/Loops.h,sha256=z3hZbgvMCNd0eSIcFr_P7u5UD_ETDcbR9Hpm0mZc-OQ,11327
torch/include/ATen/native/cpu/Reduce.h,sha256=Q0ceMDX6eXe0lYGFPWGZ0re855rydPkDIB_afCJ2WS8,10761
torch/include/ATen/native/cpu/SoftmaxKernel.h,sha256=JCGP7gmF_VNGsU0eYIk2Y-UtBqSgucr1AH971O_e6_M,485
torch/include/ATen/native/cpu/avx_mathfun.h,sha256=Q_hD_Kz9w0oRp9czb5oZeirMpSh7cZca-wnDgm4keUY,22957
torch/include/ATen/native/cpu/zmath.h,sha256=9tm39fvXuD8WAisQsEBd18pUPOVcrixsqtZ90ytU5ho,6106
torch/include/ATen/native/cuda/BatchLinearAlgebraLib.h,sha256=QnxtT55b6PGwCzdTzefWGn88zcHc-HynPkZ0pyQwB5M,592
torch/include/ATen/native/cuda/CUDALoops.cuh,sha256=n6RuFHtxz7CCKVrHFRqwnaFLQviv21GyBsq7DHWgxAc,7526
torch/include/ATen/native/cuda/CompositeRandomAccessor.h,sha256=XtnBCyL15XJYIjUN0B2DQLkeXDqFsn5BPd6U-jj1-TM,929
torch/include/ATen/native/cuda/CuFFTPlanCache.h,sha256=mEEdgLYfR8v2JeWPVg2lMremmbr3cLEN2RgzYJgweJ4,18567
torch/include/ATen/native/cuda/CuFFTUtils.h,sha256=k_d3rL0Mr5NFBdowNmlPfrA0fIr7S5g2iQjkyJxpf5U,1892
torch/include/ATen/native/cuda/DeviceSqrt.cuh,sha256=5Vtz_rXvxLc5x6j1xhtjEAmhmY46KWQazzazPK--7qc,585
torch/include/ATen/native/cuda/DistributionTemplates.h,sha256=Nooeaq8zbF3Yfrp7If02w4TKtGGwN95EYOwrYZZCEb8,27142
torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh,sha256=n2qtjnGHHTkEh02GQlXRcPZTCV2xEJaiATk4gjOBOiM,883
torch/include/ATen/native/cuda/ForeachFunctors.cuh,sha256=0L4FW31C6uNMX_1Q1OS-UK8pDhhJOTXrmM8rwrsHDtY,23553
torch/include/ATen/native/cuda/GridSampler.cuh,sha256=uhIwIOD6_KCpNa4ONdrkE6T6-2O_w8guxK6HxBMwSH4,8712
torch/include/ATen/native/cuda/KernelUtils.cuh,sha256=BBhVM9DCnC8wDbRnxpS_R361NjaO77E8WuKgfIOVqx0,2020
torch/include/ATen/native/cuda/LaunchUtils.h,sha256=r0PwPRvBDaSUHEQm3CmFMKYM9LxatU3Zr3SYGoNf8bs,306
torch/include/ATen/native/cuda/Loops.cuh,sha256=3Elyl1WwAThmYHo77ZPl5P31YlQltGWTRRb2F7tScAQ,7926
torch/include/ATen/native/cuda/Math.cuh,sha256=0A4Yn3_5aVKgDW01ccqbn3c85Qxa47P9Y9Ik9yOVAwE,8434
torch/include/ATen/native/cuda/MemoryAccess.cuh,sha256=kp3lPF0E3AeGKE4ROsB0f7LWCMgnfFjYQnWuLOgMCdY,11544
torch/include/ATen/native/cuda/MiscUtils.h,sha256=yhGubcAQddv8BdZGWaUc8BRclBfx0Y-YeeuSMKDJJNw,3984
torch/include/ATen/native/cuda/MultiTensorApply.cuh,sha256=DP78cV75dBoaR0CCwwl8HPqrhinFUDbxu6K63aXhSkQ,7026
torch/include/ATen/native/cuda/Normalization.cuh,sha256=y9_Y179pLgykVZRwDDVUDveJqzz6K6eFlbG59mJBa9o,42853
torch/include/ATen/native/cuda/PersistentSoftmax.cuh,sha256=Hl49vx-RoXryAYh7W8kFTAKlixym1wu4S8H3NxHPrYs,18820
torch/include/ATen/native/cuda/ROCmLoops.cuh,sha256=JzCue6Z2b5yLuQE8DqihKPQgtS_wPgTITMWYqkbJ6RI,13528
torch/include/ATen/native/cuda/Reduce.cuh,sha256=KuscpievyPjXggYuCiyMNEWozoOD_D7ba4TP3FHOI6U,38468
torch/include/ATen/native/cuda/Resize.cuh,sha256=wfw9Z51jIQOItXbDANhDnAgT5O5BZQiVzy-B0kd1H98,2141
torch/include/ATen/native/cuda/SortingCommon.cuh,sha256=jsDm60Zs0hGXmHPmsp2UV3Eny55rA1UMhj9i8CNPjko,6425
torch/include/ATen/native/cuda/SortingRadixSelect.cuh,sha256=k2nK88R81SWH0f5ctP_QXtAUt-TCn-dcgQLaOYMTUZA,11910
torch/include/ATen/native/cuda/UpSample.cuh,sha256=Q-AMUfhdl7aIi02LSwPUroIxRzqnA85_rXu60RD3LA8,11200
torch/include/ATen/native/cuda/block_reduce.cuh,sha256=21DfRrJkHOGUJPa8eTKB71zZ5fo1Jp-NRDZl6fbLE20,862
torch/include/ATen/native/cuda/im2col.cuh,sha256=T4UNiWVjuVx0ZRxQZXqsbesAgv4GGTrUypxAgiP_s0M,6592
torch/include/ATen/native/cuda/vol2col.cuh,sha256=O410jkXqwviCUP5h_Q6a9qU0NAxphjW6AYHDeh2-mPw,8303
torch/include/ATen/native/group_norm.h,sha256=sja0SScXNKhXTlbTkarJsUFLj4A_fdQqH6aGTqShYZM,896
torch/include/ATen/native/im2col.h,sha256=WBrwv5bPD0UGphz4FsXvcuXBNNBry0xBgtceA6wxwMU,2877
torch/include/ATen/native/im2col_shape_check.h,sha256=R1FE4hPG9OXOaPXDbmsyyvbkCgSjiemU1YUgolhTfNY,5800
torch/include/ATen/native/layer_norm.h,sha256=tHG66z4eAYDopV_epSP2mG-d9BvukwrIDNDzXExuR30,2943
torch/include/ATen/native/quantized/Copy.h,sha256=r57zC08mYzPKMKmS7mwbnqeRW4rfQBSXUmRwPMvxFuQ,173
torch/include/ATen/native/quantized/affine_quantizer.h,sha256=GmZbVb_kde9QXM-t3wYxUxpro0CFsG6JQgxUHw2DohU,4182
torch/include/ATen/native/quantized/cpu/conv_packed_params.h,sha256=MFQreweF8mrzBhQhIjapiqGKbeQN_3t3p-CrWwcaToY,791
torch/include/ATen/native/quantized/cpu/conv_serialization.h,sha256=2uIjd0bNwdtEJ7wsb2l281eYz1EB3SCLjhF-Jhf5gNQ,8012
torch/include/ATen/native/quantized/cpu/embedding_packed_params.h,sha256=MK7nf_YrKbvTqjGJKPGntHOMoxE_6BfxF8CVDM9MhKw,488
torch/include/ATen/native/quantized/cpu/fbgemm_utils.h,sha256=AG-TfFm9j5HkVYYlwbHNpVQkKb80jq8sk3_pQYG8vRQ,9637
torch/include/ATen/native/quantized/cpu/init_qnnpack.h,sha256=ZiH_VsIdp7AG6DNL49ia3_grOjjiQHM3iTKk7TKXuTw,146
torch/include/ATen/native/quantized/cpu/packed_params.h,sha256=UJtL2TnaoaCHaaV8veMKkZ936m-csBA8BwQZ3gp0Fys,829
torch/include/ATen/native/quantized/cpu/qnnpack_utils.h,sha256=4O5dRqkGeDYnTyLTCQnioxhi4YxYb_uWZpWETj9mQBc,15078
torch/include/ATen/native/quantized/cpu/quant_utils.h,sha256=ixZ-SVw-xd3lDTf3fN8DnY-a0ahqzWAfH29aDm1bkAk,6573
torch/include/ATen/native/quantized/cpu/quantized_ops.h,sha256=OCkUTz8qZWt2m9QHDkhw_Fdo3oWOGols_1-227PJDEI,5519
torch/include/ATen/native/quantized/fake_quant_affine.h,sha256=lxefkyuQyQw8-tFvdRDeGqcj5KV9OyMv-0_BSuC3Omo,1330
torch/include/ATen/native/vol2col.h,sha256=xJXOkXrefXyng8vfdofCT69DaGf9TjJpnrLErb7EbSI,3681
torch/include/ATen/quantized/QTensorImpl.h,sha256=U-mGUoeA-wwZXKLXdSfuOgFiVWMkEkS8pAAw1Ne1PmY,2996
torch/include/ATen/quantized/Quantizer.h,sha256=w3CCHqBw0YLuXNzphqfRPtbhgJStqJ1fSjt-KbH47eE,7362
torch/include/ATen/record_function.h,sha256=cIJ3elLR9nGIyv-vPvjkCTEm4vkQlJcaniCxEu2HsBI,15474
torch/include/TH/TH.h,sha256=jVfszg_9LFbJ7J_eaIGQyxiocbNN4x83sVMdo5IILy8,288
torch/include/TH/THAllocator.h,sha256=VyrjRbxG52ldw8QicOuqmnAS3ZKARARCox9hvgU1af8,3158
torch/include/TH/THBlas.h,sha256=gAuxY2QWd3lw6PIDGBWVZMvxa5i7Rp-BLC01Gb_qByo,335
torch/include/TH/THGeneral.h,sha256=UQNhH7Gk-juB3yVf2cesR6J9iuizfNo4eaETwY1OqSU,5797
torch/include/TH/THGenerateAllTypes.h,sha256=CAj_q208q827DAz_LWM-ZhRh-P3uoa1dUR4UfhAp1cU,411
torch/include/TH/THGenerateBFloat16Type.h,sha256=sbR7CmykGbP16KuFgzTz5o3a642PddkM1YINQm-VTwk,427
torch/include/TH/THGenerateBoolType.h,sha256=WmT5JPhTksqyY7f34ITTUoX9rK1dJUih5kaTcOnqSq4,373
torch/include/TH/THGenerateByteType.h,sha256=4FBqVgHNqtcgJkwyKGStwwff5uGQ41YLm2jTQEiIPjA,376
torch/include/TH/THGenerateCharType.h,sha256=1BLlVS0Wk2Mu9rfZ4jMRFee-ulfKlD-zzLzNuZTbDBM,375
torch/include/TH/THGenerateComplexDoubleType.h,sha256=rMj3GMmOixrst2EU3_nI3IUfQUKsFtSboHNHTL-vJOs,438
torch/include/TH/THGenerateComplexFloatType.h,sha256=6SMWEW5LPUg4WLDCu0pkYHDrG9uY41J8JxAfphJ9_jI,433
torch/include/TH/THGenerateComplexTypes.h,sha256=8iEzXXO1_wDz0SIdBY3Nstfvf0qNnMASj4eakCTi3BE,442
torch/include/TH/THGenerateDoubleType.h,sha256=o-NnNpS1u0cCeL-ZUO19P6uSVSGjosa_3ID1u_x7oOU,382
torch/include/TH/THGenerateFloatType.h,sha256=80RaD8djSm3dFriW9f884UuRhMxDerrmyHpJoxIBI_A,377
torch/include/TH/THGenerateFloatTypes.h,sha256=BiekbVPss3kWzYLAQoD77aCeaxIRJpxoa1y1krlyJLs,420
torch/include/TH/THGenerateHalfType.h,sha256=A7ly6Sad2vvoKIGsOIsJq4Y_6hzhYDFII4czWHtn_Go,396
torch/include/TH/THGenerateIntType.h,sha256=Nx-E9mlJRTwSeVF0xpzHh0PCyD1b6o_739nbpmT1eFw,372
torch/include/TH/THGenerateIntTypes.h,sha256=DliiquBTsYRHU6aCqX85EnT3FmE-qAbXVBA9qWr9qE4,514
torch/include/TH/THGenerateLongType.h,sha256=YbHW5Q0HMmR1OzYyr6DBTQ1UIclh6-RU71ePJDRAmew,376
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=jO2Q31ggTNFPpgT0S6nv3PXji63EjMOEphKu8hHiOJg,380
torch/include/TH/THGenerator.hpp,sha256=3mjEVwyo-1bCHE82wrJbEeXR5-4HBwmj2N0oEzmJ-yo,1111
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/THStorage.h,sha256=9jtqoPPsGJljo5fDSE6emmXVzsV1DRZTJzu6ht4EIY0,125
torch/include/TH/THStorageFunctions.h,sha256=pOz3WLYrM_FUJ1UfSls7_xMFFSnCK1QNXV3xaVGF-80,1144
torch/include/TH/THStorageFunctions.hpp,sha256=JgRqznEv1Cpx2FNtHp0BGvOzhjITmBfA1GoJp_baK9s,1254
torch/include/TH/THTensor.h,sha256=dciG5cT5zuTxOLpLvtUPHHgz4H0Xt28oRoeGpfGitUo,1121
torch/include/TH/THTensor.hpp,sha256=ntnTBN3jiTbiGbtXL5szldtL7dx--xM9ikw7KtgkjNI,4715
torch/include/TH/THTensorApply.h,sha256=0bTUfVldp5HK56qD3A6fZpSwzqYo9n9YuwDx2q8aRko,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=bLqsVrK-FcYrMvFX9f69s78A55Ie_ikEDclYZs7WSOI,387
torch/include/TH/generic/THLapack.h,sha256=HWYaKIFQkyu4FUike3Iy040EuGQtDRsccOzLpph-M1k,1164
torch/include/TH/generic/THStorage.h,sha256=RjhS-HV7kiaKFCjSFDd0D-5G2rdVL1BAD9h3yMmntfw,2680
torch/include/TH/generic/THStorageCopy.h,sha256=kU4vbnOO4J8y85XEdSBF_GQTvv3aXeN8Ou798Ek5Qo4,1750
torch/include/TH/generic/THTensor.h,sha256=HH1HRqOd-8N3e_5ZAAfMoNkCnEM4TaPNPZ0973rFIl8,5280
torch/include/TH/generic/THTensor.hpp,sha256=wTJRnYwQb3HBoFBKyxWFbh_6LfV113mB-4wS7C_kmdY,657
torch/include/TH/generic/THTensorFastGetSet.hpp,sha256=0rlf03hUWOce-iRk7cbf8x-0Xr39wSfuN35Z3K_GqHc,2333
torch/include/TH/generic/THTensorLapack.h,sha256=C8bkCagF9ruyCmvXKG7QkhDFV7IEHZBQenW0Oy4dYgs,603
torch/include/TH/generic/THTensorMath.h,sha256=GnK7BaKB_pf0F7eRmdywFt2VP_oTk7YqyJ4Ha6PuV4A,1988
torch/include/TH/generic/THTensorRandom.h,sha256=IXPJCiAuudP8zRO5SATDz8Ahvia-H-Dlma10Ss2hM7s,634
torch/include/TH/generic/THVector.h,sha256=etiaE4JuDy83APcqKBtmse6hKW1CYdx_ppkRq6-s0vw,741
torch/include/THCUNN/generic/THCUNN.h,sha256=p3zmjb5YG07FYnTZa-07zXVdT9_r4nt_YspeobCphLI,7333
torch/include/c10/core/Allocator.h,sha256=t1kXXb0KNBkO4HxKN5ZGKB5Zx1JDvlHA0HDhk_Rkv2k,8390
torch/include/c10/core/Backend.h,sha256=F1nUUy6pgKI6GKS_uYu79jPfGWd3NOsWHM86C0MLA_M,8503
torch/include/c10/core/CPUAllocator.h,sha256=lk8DJ_kqZaASfOti6AhtKLNUIlU-OTomE9cs6w6Clcc,1925
torch/include/c10/core/CompileTimeFunctionPointer.h,sha256=0tVdvMcVbhDp08Sc6SuPV5RjpYOiArQf3rWOLJWxGgs,1543
torch/include/c10/core/CopyBytes.h,sha256=wrL03lmNPavQpp9VLLrc-0xrrQwZsfqaUjKIx81G5CM,1229
torch/include/c10/core/DefaultDtype.h,sha256=s9vN-lBPF0F5ronuxBEqZTWj5bXHSPE-ZiyIKygJKRw,396
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=bPd1p0HAC3nDTf-A4APjoo0fUe1kIhKmcaWkj1PyzXI,2523
torch/include/c10/core/DispatchKey.h,sha256=h5qxjW5fYvcLEhmBo39xHvY3r6Q096gDqUFLf1dYIAQ,15809
torch/include/c10/core/DispatchKeySet.h,sha256=-oJnoqEvMkAB_RgcXp16qfhZSTmW59FbkPeNjrcrVwc,9158
torch/include/c10/core/Event.h,sha256=SI9I54b-t_GYqITcM1oPsAW-ETDX83jmbCS6iGWeRl4,3987
torch/include/c10/core/GeneratorImpl.h,sha256=6ubIG4PLP44tlnp-nm-jhZnSnZ6hz80PJnGYJNheAkU,3546
torch/include/c10/core/Layout.h,sha256=p2xzN-qVexciKxoq2avOvAuVHcSH2ZD7R2IbzDif3qc,943
torch/include/c10/core/MemoryFormat.h,sha256=d4kF5md-Drf1gZpscohZR3EXEbVOp7EMpWYdJx_DV4M,8460
torch/include/c10/core/QEngine.h,sha256=b15n0cydRTDP5swRO36tWgzpKY13V46sMjCjhxEn39Y,881
torch/include/c10/core/QScheme.h,sha256=TdashUczUso81n7o9e6wjSjwlYzxMwB-Nw-7nsF1dro,1555
torch/include/c10/core/Scalar.h,sha256=sDYTL8C7ziSSu0UcFZDO9dMgt_C_MOhNSAlYTzyXlcU,4647
torch/include/c10/core/ScalarType.h,sha256=WwdJGzc0GnZERxeFK-WvglvN4h--1g7MXc-fNdimiD8,17788
torch/include/c10/core/Storage.h,sha256=GK5qG4J9Co0HN3TFIm5tuNf7YI8q0k5XXGTb_nHKP1Y,4001
torch/include/c10/core/StorageImpl.h,sha256=iGSID8Lg7txwr4zrY8mhNgH_cJ07_-lQK2ZzxUEjRSo,4068
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=OFFMiFf4QmmVfmJIPhD9HBmXMTeSXqBA854oLvsIdoA,66512
torch/include/c10/core/TensorOptions.h,sha256=2WLVAD6_u66TnEJuagOgtKLXSXwHfYYBDSKf7UMQtuQ,24472
torch/include/c10/core/UndefinedTensorImpl.h,sha256=sXbhzfOYRCOooIT3p5dRJyr5D5INQzXjer0SptlrgqE,975
torch/include/c10/core/WrapDimMinimal.h,sha256=501E555KKbpTC9vgpkt1ZUbcEcj-QtI1rUDEBLQ5hdM,675
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=xPXj5nUtfjOs-S3WlsoXElrTliWwuvLnp-R2uYs2iks,2818
torch/include/c10/core/impl/InlineStreamGuard.h,sha256=66EmQnHl4FbLyfP3vOXAZyiDAJZCA-keqsDpcoCEwYs,7576
torch/include/c10/core/impl/LocalDispatchKeySet.h,sha256=2r765AhCv5MpVlgkT1UQxoeBKJSR2QDqHowuxz8DKxc,4320
torch/include/c10/core/impl/VirtualGuardImpl.h,sha256=MgpWR7iYiFi165G8AGnPhWz9UtnFGxCpQAI__0SCxds,1991
torch/include/c10/core/thread_pool.h,sha256=lhTZhFVQj78rPkFjvxCUttcZpXThesBcxiinQ5O4xHk,2986
torch/include/c10/cuda/CUDACachingAllocator.h,sha256=dmC-H0tV6UzAvU-uCLagZg8De5PffI2jvoDUDopMufI,4282
torch/include/c10/cuda/CUDAException.h,sha256=Dx9eBLN9gGiJ5H3f9hAXa5q9ljIO00Q0RQXazC-J8O8,1392
torch/include/c10/cuda/CUDAFunctions.h,sha256=ayMOLzTiwbj_GaqIa_M5KOn2Q_IdcnbcYNr2sUlEwHU,1280
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=qJRVhVJBXxanpR-BVEvrkN-Za-UwhDhIrYP2ogWAv50,2887
torch/include/c10/cuda/CUDAStream.h,sha256=Hmoevm_ho-NO94AEKmpkCq54zp-Aa4oVSc9vDBBC3HI,8809
torch/include/c10/cuda/impl/CUDAGuardImpl.h,sha256=QToZq_mdyaXJtoAQVnUKNbJNCy2ZldUcALXaMRwvk00,5099
torch/include/c10/cuda/impl/CUDATest.h,sha256=dt9Gp1tDyYR-tA92S5rcv4vY6RrZY2IQQCYRfnRlOCI,168
torch/include/c10/macros/Export.h,sha256=KFdlYZF0lmKl2-81g3Z7UOkFgh6d0Tf1B73-qfmkc1s,4313
torch/include/c10/macros/Macros.h,sha256=tzr78zpm-s4YbcOzCfQRijFwRWVuWHte2MZWD-IjEIY,14158
torch/include/c10/macros/cmake_macros.h,sha256=w6rC6yuPyqUkSNfU8yF3BLNLy9E_DOhUlezwobZ_AbI,624
torch/include/c10/util/AlignOf.h,sha256=w4sF48oNMj-oe5wXItpsj3NGYIAyXM1ilhOwhFxX0sw,4835
torch/include/c10/util/Array.h,sha256=OvjQRNosf90f4gl8A_OKvoD03zXU12ytIlfH6c-W5Dk,10888
torch/include/c10/util/ArrayRef.h,sha256=JurW1n_Txu2HVTeND8Lp9aWGFynbGadbfgWE2haWkxE,8217
torch/include/c10/util/BFloat16-inl.h,sha256=3wWOEeOiERqtOiCh4q8V_9WMixm8bX4uXUmEP4flzRM,7942
torch/include/c10/util/BFloat16-math.h,sha256=0T4tVk63KG_LmpLrEGvNKVfhg7i93R_kHauRSZkNNwA,2411
torch/include/c10/util/BFloat16.h,sha256=FfWOyY-z3QiL-ObJ9EbCmVQxxjZwKiCs5rIWM3lz8lc,2152
torch/include/c10/util/Backtrace.h,sha256=sbWyABFklbXFHnKCXJd9qTDJwZlw0RaJWCimSGxh4Uo,364
torch/include/c10/util/Bitset.h,sha256=tdHGZRRLyq62fOv3aKSdj3qyrjGKoCvoE-7cHHPPgl8,3491
torch/include/c10/util/C++17.h,sha256=pS1j6EwtyHCJlvO3kHBusHTHvIyTa0UfoC9nidy_pWs,12334
torch/include/c10/util/ConstexprCrc.h,sha256=jNVgnTxUmMnITUDNisB90VRAsxun6UQkge3Mz1E807k,6585
torch/include/c10/util/Deprecated.h,sha256=i6auOdqYF-9BXcrHHNf3EXXp-umCZHOykrllVjibItg,3819
torch/include/c10/util/Exception.h,sha256=vFKDU_xOsOX6KnY_otmStR8ILEiyBl8aCNTpMbwnxqs,18774
torch/include/c10/util/Flags.h,sha256=a0h1A-vWdSacvK9AOWWebQUKEroYWsLXZ4MhJsiTzHc,10145
torch/include/c10/util/FunctionRef.h,sha256=-9ka14xQy36jCkokBdDQfGHlCU8qYkR6612ow2gn-_g,2254
torch/include/c10/util/Half-inl.h,sha256=bXaW776liUmyl1dv1_JloD8G1pJZ-mKfNC_oL7wfYUw,8231
torch/include/c10/util/Half.h,sha256=sm9WC6nQNj85_Al-OJifaPB7C0s6tbdQ_sNxUTnOl3Q,20304
torch/include/c10/util/IdWrapper.h,sha256=fZz9djflyuX2-Q2lQwFT3dF10EABtvMuFNWrOyEiLjQ,2340
torch/include/c10/util/LeftRight.h,sha256=Mq4hhoEYosw2QVgodYEX9UHdVv1_Mx7GORxhoJZvKXs,5573
torch/include/c10/util/Logging.h,sha256=n00UNsYZwiHX4jwNo2TXw7YJFjC8IUXlnLmXtg6o-R8,12277
torch/include/c10/util/Metaprogramming.h,sha256=LzIxG7YcSJnR_UIh5GmSdy-DJ1lop1g6lYpiynLLtvY,10550
torch/include/c10/util/Optional.h,sha256=VJ9kpVyyGpyPlySI5AXhDxFsINt4lgDnfaLwLFq_J3Y,26409
torch/include/c10/util/Registry.h,sha256=l5tLWoarnU6nMH0RdsGDXj5CZBfTZZEUSjzqdTNYJxI,11908
torch/include/c10/util/SmallVector.h,sha256=A8KSOXXuXlK8nsPylSFNHL6z0vhJM72eaC0deTTIPnA,33868
torch/include/c10/util/StringUtil.h,sha256=y_B9fEQrQTb5giBxaQ_K-OJjLHC8oV1guyRXkK_-V2M,4112
torch/include/c10/util/ThreadLocalDebugInfo.h,sha256=C881YHRrpV_Ga6rKeceGgZ_jGEoDBCHH3fkzwGoMElY,2561
torch/include/c10/util/Type.h,sha256=vLDguCVKvxuL8vjvRLvr5a7OHTIpzQDFkrvEfIV3Q9o,607
torch/include/c10/util/TypeCast.h,sha256=W325IJcPdsbGyFiKr9ywwRU-Nr2rny3Zb812x-33MCU,6956
torch/include/c10/util/TypeIndex.h,sha256=pmJDRva8YJIx1xxZA1UZu-07WyQ3cqytkRgvMxHHD88,5103
torch/include/c10/util/TypeList.h,sha256=OpPQ57pE2UHVh87ljv8GWZBJcCozSwLEOZ6nkIbeXwA,14894
torch/include/c10/util/TypeTraits.h,sha256=-xn79DZDo_7PrBVBt2apsQJ24OfEhhijQT5wqW-hRNs,5203
torch/include/c10/util/UniqueVoidPtr.h,sha256=fSvKXKSGJiqcq_m37wdeLODeCxHd4Q0tzLDmbrz3M2k,4099
torch/include/c10/util/complex.h,sha256=yWq1r7xQtUw3G4Tbeb_4DUhoNiw1xBiBlY0lpi8tlis,17234
torch/include/c10/util/complex_math.h,sha256=J_l6XSBiwFvX11zD0yKZAWy-jqtsCb5vDw9UjcHxl0I,9935
torch/include/c10/util/complex_utils.h,sha256=GbG8sJAoMxZiDeL579fFUQlnjwqlU0IPGrtNeMSAXOM,921
torch/include/c10/util/either.h,sha256=5e923uB7lwk4eMhCuSKuSPtmxLtvjxmuxGPdAwE99Ho,6436
torch/include/c10/util/flat_hash_map.h,sha256=HVSr4Eh_-WFvvB7qkIIVeZqrgVzgHHoaVdZZgVVeuTU,61697
torch/include/c10/util/hash.h,sha256=vUf-OV7fDjtZ4T6WiVlY3XBgIJC5ZrL6ZcPTXFA_f8M,4683
torch/include/c10/util/in_place.h,sha256=Trmaz7csPFFvL8IBbGFTYgXzk_rgtx8bkyjjrs-f3XU,344
torch/include/c10/util/intrusive_ptr.h,sha256=cCP8NUsaHQxu119iwgecHblvsimZ1USd6BE29SwsQO0,27123
torch/include/c10/util/llvmMathExtras.h,sha256=BTsr7xs2QDk-UqV3fFuxGvv6NF8vasgrl1875UpXbkQ,29834
torch/include/c10/util/logging_is_google_glog.h,sha256=3D7qCnBhlZGPyz7mqAmWREPNQSCemYdrStcyaffZqbo,2031
torch/include/c10/util/logging_is_not_google_glog.h,sha256=WA4Cq7u8b8YBtBWBbJaLqLcNSYHDTY9BKuqL2lL22pE,8286
torch/include/c10/util/math_compat.h,sha256=xLBKU2P4oNq-riMbOzQ9YMELiaVrQJ2qnRsdiudEEHY,6426
torch/include/c10/util/numa.h,sha256=aEgHw1CUWV2sbSZJGGV7g6BqV7TP9vlBInzaxXYfCKA,696
torch/include/c10/util/order_preserving_flat_hash_map.h,sha256=lO62FbpdEKiMEIyQ-OSJHnxs5EaZd6odkUPCDfk30XA,65700
torch/include/c10/util/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56
torch/include/c10/util/qint32.h,sha256=iyBUhux_GEJ8J92GhOPnukFSHXEp_vCM_ImIZTR1_Gg,319
torch/include/c10/util/qint8.h,sha256=bc5SknZDfO9_2Ez-QlgP6CVXkFhkFIc8pV6vqx4y4vo,472
torch/include/c10/util/quint8.h,sha256=MhY-JtvdGlZVuRp3QyTEd34Gcumu0MFwp-OnKk0AwVo,317
torch/include/c10/util/reverse_iterator.h,sha256=tJf7lQAHYT1Y-A3PJLzJgY2LG6FHVmO_lfxatqcsdVk,8803
torch/include/c10/util/sparse_bitset.h,sha256=K-114zsj55v86B8STjgxP-6mt42--dIwdv7ipJlAX44,27529
torch/include/c10/util/string_utils.h,sha256=gv3MF4QldJtPnPS2d_yCgPotLX22PG5OZYdagIbHn24,3991
torch/include/c10/util/string_view.h,sha256=ih3HRPdBadCncpCFzIc_U9TWi0J4U75iL4zqwSJZZrU,20484
torch/include/c10/util/tempfile.h,sha256=BkPMdvWCBaIcH4UQLvCtjY3PSbGS_gTIYXM-CacOT2U,3325
torch/include/c10/util/thread_name.h,sha256=mnZYxkwFcjqj9d0Kk2HIjtSEYuuFi9rtmW10DUwHyEo,148
torch/include/c10/util/typeid.h,sha256=LAP-eBxcvTZZcI0o-WIJH-7bUCZe9q3NpP4rclOvfaM,15186
torch/include/c10/util/variant.h,sha256=HKtjgjeHVw8CJX08x9uY1A3PO2KFekMt6aQrX2mZTco,104840
torch/include/c10d/FileStore.hpp,sha256=H_f1lpMzhB2rhnLvIet5i4R-cBledQknuvYWIp5ahoY,1104
torch/include/c10d/GlooDeviceFactory.hpp,sha256=6uYJNTmt8NltswKTj3mjeF5GYbjCfN370n83gRxFAp0,714
torch/include/c10d/HashStore.hpp,sha256=_23ZQ-PVLZKyd2fWkLmcG7ww8TlY7a1HGOVnby59_zg,948
torch/include/c10d/PrefixStore.hpp,sha256=jLiLWZLGwuZC1doFP_I6_ipfCDD3ge8YXUJ2ejduISY,979
torch/include/c10d/ProcessGroup.hpp,sha256=UozR5hU7sIJOaT1pNd775bf5XxnZqgbRo_19WR6K6JI,8249
torch/include/c10d/ProcessGroupGloo.hpp,sha256=H9QU_LI0Q9ZGFe2pj4CrrrT-qos46ePYmj8Q7flroJg,9780
torch/include/c10d/Store.hpp,sha256=_HbeMA2XkORBQbUovH1BPMcMOlJEHX9hlH1JW1vl8XQ,1203
torch/include/c10d/TCPStore.hpp,sha256=Llt4rO87SuIUtbRrfTEv4E5DAzqprrr23cb5xD2t8lY,2666
torch/include/c10d/Types.hpp,sha256=xq95GQxVi-P9-0mSDO9pNBCjFWWTmo9Y_QMEzz6kgsI,1339
torch/include/c10d/Utils.hpp,sha256=hqNWkCZbSult4RoEiOGaYOwi_fqO4taKNmGQud4-kFI,18597
torch/include/caffe2/core/allocator.h,sha256=8aQJ-MnoaRXBZjgrSKrqQPFYw8tGOsAq0mFAGuS44DA,136
torch/include/caffe2/core/blob.h,sha256=DM9tj54qoMkTR_P8jQm657154D44_nUayoBo-d7CjvU,4168
torch/include/caffe2/core/blob_serialization.h,sha256=NAUtkIx_4F2S75tSb9W52vzFuj2IURhefsv_c1TnTME,8963
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=B9O7p1Xi1bf7ONYYXFS3hFFpjp55rdHFIZoKWWoPueI,4149
torch/include/caffe2/core/common_cudnn.h,sha256=A1XcfsOQBkHr703MJPZtYNkAcZX1O42UzdkfhLfPcOE,9893
torch/include/caffe2/core/common_gpu.h,sha256=5XOprok-JAb2yJ36a0MPAiEZduWYp7dL9avDqcCYFGw,21006
torch/include/caffe2/core/common_omp.h,sha256=LIc-4LD8RyXMKVGWR5poDey9wlhmEGwR1a2L05L6U_g,156
torch/include/caffe2/core/context.h,sha256=O7DJEhn66kvOYpfjwGqrzKmpwT1Gw5rKtEA-YJ8voTU,4921
torch/include/caffe2/core/context_base.h,sha256=PNYJD28xFpGywrN1-wTr6Abz0xW-lQOnGk9Oswcxz4g,4382
torch/include/caffe2/core/context_gpu.h,sha256=sjYuFgX5OhFUCswc4hKbvebR-Hs5rBY0fjNETOwrxeM,10828
torch/include/caffe2/core/cudnn_wrappers.h,sha256=Qg0JIIdzXSiLCp1dpn0lIQ4xumr3M4mcmcQRx_79hus,6956
torch/include/caffe2/core/db.h,sha256=X3snMcG6ujINOB9aueUylsCjmD0dVy09IN71GFN095k,8822
torch/include/caffe2/core/event.h,sha256=Q6ebdL7Zv0-dxik59Zx3AtOuS2i1qTTUBrM8SgFKWH8,12421
torch/include/caffe2/core/event_cpu.h,sha256=-zCs5aaogLBsE8jBjDqIcYq2_JCqyVP8KNsDjqGwPC0,1192
torch/include/caffe2/core/export_c10_op_to_caffe2.h,sha256=UNNnVofcUIeJ7fZXH9JGk4wTAHuRU7qeFY7662jJq00,9267
torch/include/caffe2/core/export_caffe2_op_to_c10.h,sha256=30BYmiG8zN_Xkkwr7VLmtnjT3bkuKG-h34Jh_gWJmWw,11008
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=DrVYdYFbREISeyof7XsqcCoU_z5eX_019ESGMm3VPv4,4106
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=C-1VVNjZvs86uCyNG7lHf-UkYR5sV0f4h4fsPURCpNA,4640
torch/include/caffe2/core/net_async_base.h,sha256=9uAO1dmCjGufm8J8UWX5pfZikCM2PWwubwqDtQloNu8,7399
torch/include/caffe2/core/net_async_scheduling.h,sha256=sz611Pv_cycqCBOkEBCc_W3iJ74USrIVVuGD9y5Dp7A,994
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=DyNdFKPaXjUAXs9K16W1Cz7EWEps4dOtWN8xS2n_lvM,59195
torch/include/caffe2/core/operator_gradient.h,sha256=bkGjkm4hHDzPLG2z8kGkeHR2VitJpSIoAEkoPb4GLVE,10227
torch/include/caffe2/core/operator_schema.h,sha256=_GGHvmjZJOoOU9zDcRDTruXDa4OqMhTpkbmXcogud7g,18680
torch/include/caffe2/core/plan_executor.h,sha256=vygq_Vw3qfzo12FcQMM0at-_emtn7435EHrSzkau34s,219
torch/include/caffe2/core/prof_dag_counters.h,sha256=-sPKw_tckYaBaRvEgVqpimoiCtE_Krf9wyxGk2GJlZI,2751
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=pP0JE-XBukuRCai7B3ATeRhBZdb_xfnMTpyzMFMRQtk,4675
torch/include/caffe2/core/static_tracepoint.h,sha256=0cfAzDo8d3qz837Mfl3rxJ1_sxa8PUsU-I8ntrkZvck,398
torch/include/caffe2/core/static_tracepoint_elfx86.h,sha256=DBp_tYrmBD4ghym_mYR4Pmd3pIyqIcWmI7Ex3qmIY4w,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=N1i7kMl3xPk137ohR9Mf1PSf8PoWuKfzTLGae9ohtMo,18469
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=1YsnxGYocDftMjD4Rx1-rVo7yyCFG2VVkuHWLu-_R2k,6221
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=5K9n7p6Bm2_kK-b2nWOgN9hwuDg0xv6TX1JPT8OmPqA,11270
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=aXNqqIa8_4H2X2T2wzhX4PrUFxww1TZtXvloMAUdtzM,1079
torch/include/caffe2/distributed/file_store_handler_op.h,sha256=0a9ybDKOmE5NH8PP3d-pnV_EiIQ9NpT8Q8FPsc4tqH8,979
torch/include/caffe2/distributed/redis_store_handler.h,sha256=GfQRALZ0kaK4NkRdhmRzr89Xk02_3Fu8x5fuZwbDMb8,1101
torch/include/caffe2/distributed/redis_store_handler_op.h,sha256=P8luuYWx_V0y8kewTx_SIQAi05gjr-JOgWFw2zAnElo,1143
torch/include/caffe2/distributed/store_handler.h,sha256=CgB0I0hX1TXSkZn_jU7LYF9pG28DrztAInBvfva4qYc,2529
torch/include/caffe2/distributed/store_ops.h,sha256=ngfK5fgTNFsMjjFQyLG9xH3_ooW9276vii4QaiJE5pE,1064
torch/include/caffe2/ideep/ideep_utils.h,sha256=Q7vRfuY7qZDTScFzDwEh6Ic6EYNLmd4_muDWSCp8Xt0,2172
torch/include/caffe2/image/image_input_op.h,sha256=USJ4ZD_KhqMPDVhxwNrlJL669alF0l8wCCtpZIc49y0,46964
torch/include/caffe2/image/transform_gpu.h,sha256=_mvip41mfvZQ6AFOHbs8j4B82pepy0J8d9VlrtPgH1E,1705
torch/include/caffe2/mpi/mpi_common.h,sha256=SnYpBYBcK4KAZQb0a5pX6LfG8fvBeIIPPGiTLhqJX1E,4761
torch/include/caffe2/mpi/mpi_ops.h,sha256=gAtkdB0xvHwKNEuU07yVC7NgkS6O_yAhtvYXfjl3L6s,7769
torch/include/caffe2/observers/operator_attaching_net_observer.h,sha256=BiOXn1yuUXCHVZmHhb3joHnHyNJg9I9ol04PAa5qIqc,907
torch/include/caffe2/observers/profile_observer.h,sha256=_Nputtl4uKw1UyjAcrDY3QuB-1e4A9LQlKaNjPMRB1Y,3262
torch/include/caffe2/observers/runcnt_observer.h,sha256=UtqQNp2n5sZnoP-qhU5puP_MPLFloFUUkyEBt3p3-5E,1321
torch/include/caffe2/observers/time_observer.h,sha256=1KLoh-og0RljjKJ46v08NztEj7wPyHWnNuKH9nl3iEE,1830
torch/include/caffe2/onnx/backend.h,sha256=VNawc12bC1sNBmEAbu9w3ipFddB7BSCX4Hsg9L12kQU,8679
torch/include/caffe2/onnx/backend_rep.h,sha256=qZYtT-zVh7p8tDmjnJ0VxcAXW8jCaK5OGfLii_t-Nz4,1138
torch/include/caffe2/onnx/device.h,sha256=axuqO4htBFSCnD-wqQAJkMNXCIq1c6chclQDQZ4M3Q4,488
torch/include/caffe2/onnx/helper.h,sha256=yyYD1UMYkiz2J5xMbEF-wSN1w42yDcIxWiZTG2bmVrI,2821
torch/include/caffe2/onnx/offline_tensor.h,sha256=cKAMFvSRvIvlP4YPVY7ZSNpaeO_EGHnUCHFQfrrWV4E,1646
torch/include/caffe2/onnx/onnx_exporter.h,sha256=IBxdqTmHGCEDnUV7UPkdgulJzxREhlgcucr_WAdAjwo,4809
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=RznX7yzttaycTNXpCTtSCi_yyv-q8lzY7lDOta2rFQk,652
torch/include/caffe2/operators/acos_op.h,sha256=RD7DrHlaj6atW12vzT1XC7rBgyuT9q0FbXYJAuuyzI0,711
torch/include/caffe2/operators/activation_ops_cudnn.h,sha256=NUrHgu_4WBdFqCdB3RaDJLTSkyjSm2YKmJBXyLy__eU,4122
torch/include/caffe2/operators/affine_channel_op.h,sha256=hdOSX_oQofb4ECHYdzYw_OAhpKU26KlfR0-eakU-9D0,3450
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=HMTfuqQ3K9B6YjXslNcJ_LLf_R6TkWtlC2wP2DO71rE,2287
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=H5TcdIM3H1oR53xBwLwxw61xGCNzHUi0kmoZP53fbR4,2668
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=rwqDMzZhjp7FefxAfwXMtMEY1Sq9ASG4Jlulzb6sVeM,4747
torch/include/caffe2/operators/bucketize_op.h,sha256=meWput0kqGMBTXUu1KA-tWA2WQvaXJe-RKpdXl9wk5A,1361
torch/include/caffe2/operators/byte_weight_dequant_op.h,sha256=LvHeDIaknl0z5Cm5BofxidCp-kd4zsAoOYdTEBoh5vk,1722
torch/include/caffe2/operators/cast_op.h,sha256=y7bm_bqM-moMYpPmAzQNAitxvujSr-Pr8nyrHWN2HIc,1393
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=wvZggtFJK7T1pQqp5isFgWlRLHz9PDFLDP6WxjpPXlU,6875
torch/include/caffe2/operators/concat_split_op.h,sha256=eSv7T2j0URpvRdEmY33PkEBDhrpI3l87xb2pOGrUfsQ,11721
torch/include/caffe2/operators/conditional_op.h,sha256=XGvSUastZCge1MfSGE3S2H3SGu5ik378atzKkMPahZQ,487
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=-_lHwCli7_QbbENCNaWom-toGV-rsbxX8-tW4OGNRX8,31706
torch/include/caffe2/operators/conv_transpose_op.h,sha256=hpoQcu5GC7ib2DUjjs4JnWwTb2IIVgucgafGL29jpi4,1727
torch/include/caffe2/operators/conv_transpose_op_impl.h,sha256=OIXHlttpuJ2xGX2wyQ2rulsC8tEHnnp4zd9AwgWbVsU,18264
torch/include/caffe2/operators/conv_transpose_op_mobile.h,sha256=toT4XGedgjwzM2FUFfqTFIyC5yfAK4njwQTGypBAOhQ,1470
torch/include/caffe2/operators/conv_transpose_op_mobile_impl.h,sha256=ozMqg1wg6446X2TdWshqRZC1wSz3j4e6k7EmTaIDNCw,19587
torch/include/caffe2/operators/conv_transpose_unpool_op_base.h,sha256=NjagcYmzY5NS7RVE0nAKaUfRd8XTfBlvq5MS3QqsuzY,10250
torch/include/caffe2/operators/copy_op.h,sha256=YVUmDyUTHpw8XXxcv97jQrzyQmFsO30x89Cimnhn3Xo,1296
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=u0eiOszuAnjoJtljPFy0Mtx9_1ikH9oaJy3w8M8pLnw,5233
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=gMx71Z5OfxTx0UbSbxkbDVZ1VjNWKp6ndLS4sr-MPk4,5502
torch/include/caffe2/operators/deform_conv_op.h,sha256=QjEeRJE2nrnzO1GxzXjFyr-oGdbH0byKtiz4aziXADg,3543
torch/include/caffe2/operators/deform_conv_op_impl.h,sha256=lE0Wh-1M33c35fhCGYznar_mfTJB7sDkhxYTGCJPju0,13171
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=Vrb6qjwOwXe4HNVtdJltkNENH9mjasVDUkR3kiuhvrY,1170
torch/include/caffe2/operators/elementwise_logical_ops.h,sha256=mDtBwrxa3_DNeWu8iABjMu7X2sMNnE03qVwsVZEkXOM,5083
torch/include/caffe2/operators/elementwise_mul_op.h,sha256=Zb6C2HS6h2-v1Gl3c3QNVhHY_ENIJFpCuw_bk9Zdzzs,1062
torch/include/caffe2/operators/elementwise_op_test.h,sha256=mvF03HU0hWmJ14zFX9D6wOMTKHPEtmdBAjNgV3M0Na8,9237
torch/include/caffe2/operators/elementwise_ops.h,sha256=TOuriBLM3h0x6jTD2CYvk3Q_7T4vtBsvjiGOFQuA9Cc,16751
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=nj7pPGn1n9pRna00TdP9CNWzB40q2l2YMr7q0xpatGs,1141
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=MWXDI1YREDKICMhbectB52onLgyLj5nqTEylm4h32I4,1465
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=a58IJLcHofybiCfv5dRSc8thR6_TvuOyCakZJurvilU,3543
torch/include/caffe2/operators/expand_squeeze_dims_op.h,sha256=OqtR_CdN0jm6QsoDbl9CtxtNavABy041iffY9Hwhkfs,3389
torch/include/caffe2/operators/fc_inference.h,sha256=ipvlrV93X-T5iPDensB65gPg3IOdpRsU36YGWRluJm8,775
torch/include/caffe2/operators/feature_maps_ops.h,sha256=I9BkHTIAz-XXKZfu7CDTuKkV5zo2Exqap3AAVrY9nVc,32437
torch/include/caffe2/operators/feed_blob_op.h,sha256=vXId7mPvQ_w43nYtCtvhe93_X6q6kJ-CY0D3n0LMcyQ,802
torch/include/caffe2/operators/filler_op.h,sha256=SR_8xxM8UFyBtoOMYH75UNEw0QDmFYlrrglh8--cae0,18409
torch/include/caffe2/operators/find_duplicate_elements_op.h,sha256=kD8h5m7z8HkAhMI7zj3qOnRW0idCB1IJ4j4UIY-uXBU,1563
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=taC81NDpL8bGeWiTA-NkSc0ziD9SC9TwX83uMuRQsVU,9351
torch/include/caffe2/operators/fused_rowwise_8bit_conversion_ops.h,sha256=ACvoDIH2BzjIkDJOK8Y9k5pI76j-a--LJhZNQOCUimM,6491
torch/include/caffe2/operators/fused_rowwise_nbit_conversion_ops.h,sha256=kxfX2MZI71Tse3fUcm79VAgTZeM7UJurPB5WO7EP7hk,8668
torch/include/caffe2/operators/fused_rowwise_nbitfake_conversion_ops.h,sha256=Po7McIyD_-yFfPn7oOxxvfI-EnxJA4hPjWpWBUXh1FE,4320
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=mu73r6QGUo1jITWoxYeP_Gm9ym9DK_jw6QzmNb_OOD8,7505
torch/include/caffe2/operators/gather_ranges_to_dense_op.h,sha256=ad8dTyt3ad4MzZkFVhs-7NK-81mRyRtPxZyUYGLMfgU,7966
torch/include/caffe2/operators/gelu_op.h,sha256=X00ol9UBotJvTxLojr_4fuXXbbC8rdaEIp5oZGU9FWc,1452
torch/include/caffe2/operators/generate_proposals_op.h,sha256=c0D44bjqRl2pC_9nxW-eaLjx_tV_nRN69FXJPEvTqhM,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=fphEiB3Cf6VlU4zAmrZkeqCifiZVbZTo_iTsDBx3Ik8,2097
torch/include/caffe2/operators/given_tensor_fill_op.h,sha256=n-5Ns9QIETdDOoWmjWvFTuVD2CwjU_DUjX9mxaK9QoA,2949
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=_DAQVUSVlHU8KKAg-07e2zD3oTttjQHjOCsSEQpgj74,4954
torch/include/caffe2/operators/half_float_ops.h,sha256=mj9dKeXOZD5mK7yhEG92dFty5gqguj4Com2uq47Qy1k,2732
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/histogram_op.h,sha256=vWpkr9ozOQVlKWU7kK9MD0oTePjAndO5kv2lzJgJA8Y,2311
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=TGClno_1zWoIFOCu_3cpRLh3Apl4YO6eF0fJEyHMeRY,2179
torch/include/caffe2/operators/index_ops.h,sha256=yeWCVlOwuT-dj_TKoNiX-OluVQJkxPcKOn4S8JCEpw0,3047
torch/include/caffe2/operators/inference_lstm_op.h,sha256=qBJm8yIIhHvVtqPzKgGe2tdJGmqHi5QBTyJZgdlJR4c,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=sEIm0sUNCQomD6QkQAWXmTTQC1wW5jza1-WBQ9ELi00,8042
torch/include/caffe2/operators/leaky_relu_op.h,sha256=bPZmqHrS7XOX4BHvxwicCILdTcOHAbaYzfoDQ0E0ceI,1111
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=IbKfunOWen20aBFvbmZCDEshMOIDCkJObzdSpNdZ3Go,5532
torch/include/caffe2/operators/lengths_reducer_fused_nbit_rowwise_ops.h,sha256=e4rWA8FF3wSRfe6go5OYv3JpCk-U4CG01LykitwL3JQ,23433
torch/include/caffe2/operators/lengths_reducer_ops.h,sha256=y04wBWoQxoZ8d2wZgkeDF8YqJnbZ6K-4XcVeECFaZko,23259
torch/include/caffe2/operators/lengths_reducer_rowwise_8bit_ops.h,sha256=HSQh81Pwle9kOxZB4SR9twPpAL-uQsqdcG_XsHxhhQE,6180
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=cp26ZlBsnE7fZiXJ978SbdTocBIzpqMYM1GnvJLwEfo,1647
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=1XX39HrU2y2HbLEI9O5wNuY38sEo-DAWI3Madv9v4J8,1129
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=YfNyqDanua7lW7Ukx5Boh1Z4Qy0bxAVvRdStwOs8N6g,6733
torch/include/caffe2/operators/lstm_utils.h,sha256=986G3sfJ-zENmSvlD9QYajlh3hpxMfFYo_llQZsGAW8,9424
torch/include/caffe2/operators/map_ops.h,sha256=6JSavyAnlkjmKr7MI865Y55cU6mxuZXth6hRIXpQZGw,8011
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=FH1vfltCymFZDLjUZtOUy5HV9593W0rUHrFsQ8uDkB8,3252
torch/include/caffe2/operators/merge_id_lists_op.h,sha256=eHbrz8bKqGKPXs5xFDHiBK4MxwY4G3w7RFYwqG_rnYU,2517
torch/include/caffe2/operators/minmax_ops.h,sha256=nVMQrdrjtp9JkHH1dasuy6kG11cluAGq5LTSV5CxfWw,3829
torch/include/caffe2/operators/mish_op.h,sha256=sVjkTJ8n681hWO1nC0iRqBCrLI-szU7dpVJjXdB6w1A,766
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=Tc_6njljS-_oU9SIGjVkD-QV9KZ5bkFJTCCeqRIJ7vA,3591
torch/include/caffe2/operators/one_hot_ops.h,sha256=1XBRhgWFrooBR2sQ5lf-u65OWld9Y0QfktlCsR8UA7I,2562
torch/include/caffe2/operators/onnx_while_op.h,sha256=RhCks7RIQAsMR8jEhUds__ZLVQttTgfJzZzxWBrbzWM,10600
torch/include/caffe2/operators/op_utils_cudnn.h,sha256=ZbE0SmAA_aD_dEXj3lN68NyDptiK2Pb6OOiHW32-mHo,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=8GX7ZzaziJ2aqcXiMWGFMwhhXzvI00UtNrfheurtI4Y,2729
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=yg-lvyTcJM0oX7z4Y3ywPjPZMvz7hcYD6lsPFRC1Uac,1009
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=A4vNRMzPiHuy2VntzOCJrOShX9dkysfQkPOQWd2qhDM,4677
torch/include/caffe2/operators/prefetch_op.h,sha256=6YZKWGU-5sztj8-CEQ_nvti-Qv_-yTWoynDdYaq4icU,4661
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=omYtM4LvIWaIGC4xLCor3Xf2U14419QCU5nTnHnI_0g,5370
torch/include/caffe2/operators/quantile_op.h,sha256=BKYIUJoJRoUbiooDi79e93fqR9ZEozwmVQiX5bu00pY,4120
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=4HtFkeILdtitnUIu7zakCBp1W3eDflBm6YVM6AX2GE8,4399
torch/include/caffe2/operators/reduce_front_back_sum_mean_ops.h,sha256=bolz-drMEw85Tkdm9gkcW-eIkZnilhZ8S8o5joxEJ08,5337
torch/include/caffe2/operators/reduce_ops.h,sha256=CL9k2BhKMYg1RIRr_rZ5ZAAHWFQ1-ax3rGQFKmW47n0,8565
torch/include/caffe2/operators/reducer_functors.h,sha256=X5aKKVY4ezQ6scL7rvNsdtNCresZy0tbxHogoQTLL6U,24556
torch/include/caffe2/operators/reduction_ops.h,sha256=hlFfQeF9yQLpIkbLfeNB1KWVFIL-BBjngBo0_ZSr89E,5944
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=uPNgEO6bs2baNn3jIE9U4rH7v4HjTZ3-EoAHUbIhhJw,5668
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/rms_norm_op.h,sha256=NN8Dj9bEt1aG5vgSoJGqv8dnyA0nar6ip2MzCJRDxlg,2968
torch/include/caffe2/operators/roi_align_gradient_op.h,sha256=r_WzYXyCacOU2hh1gf6oG2Vgm9Zh23Sgu8Wa62WssYQ,1486
torch/include/caffe2/operators/roi_align_op.h,sha256=NuYz50f1DzP9Rp3JcQ6E1y9WXQJA5qIX4I1Noiu_vXM,2857
torch/include/caffe2/operators/roi_align_rotated_gradient_op.h,sha256=CBjLNu79vRMq6-EkntJxwrGtOuUH7nav1H3FLDoGwWA,1369
torch/include/caffe2/operators/roi_align_rotated_op.h,sha256=lAB8NR2OB-e0Yf3e2Hmy9NvdMD0ObB6mojOtj1qnen4,1636
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=f2YM85IAU-oTJ4OFSQ-PxzndzVuilwAZsXjMhKRNZeY,1019
torch/include/caffe2/operators/segment_reduction_op.h,sha256=6_8X-VaCLF9S3kn_wBJ-FuZ9P8IBiCtZNJhCJQOg6JE,70726
torch/include/caffe2/operators/self_binning_histogram_op.h,sha256=-exNvmuRpQ0ho6pgyBG8KvSa_qnBf0c-r4dzB5nYRQg,6011
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=Cp9fUKOR_-ZtNiZJrxGsMoUP4kG09x80THh7Lx05yh0,2834
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_lp_regularizer_op.h,sha256=UfeB7gszyoinZbDXukoQUjb7c0NTOuDDZpBjIamKYBk,1131
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=NvA28UGzoNCVw9VC6J7zK_jcuy20sJxp25oww5hClEA,15175
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=8H8SKsah9VHrFkGSSQu5i9edHVv8mh8tE9UCyEXs1Hc,1804
torch/include/caffe2/operators/stats_put_ops.h,sha256=DkfdHsU7Nryeq8uLraqCnQ3G5nakdnlWmlVxG5FPGFk,2757
torch/include/caffe2/operators/stop_gradient.h,sha256=OpDHiXE-ujDHPxhztygXyIc8irqe2wqubS2J0j0KxL0,548
torch/include/caffe2/operators/string_ops.h,sha256=Pj1bDOzD6bBSNgXF9GJhJEiKb9_i61IKjUeF8SUmtPA,2067
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=8tG_b9PIOR-sV7kkWaZX3gSXvDDXrBtY96_B6tAhTb0,8741
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=-sDhBA3FKAH5_XCJRdoEA7QUmgKjYa8UcAL3L_XBCbk,48170
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=ITwE7qZz-j-Pf-DsqRjfd6wycoWZJYVdkdbj8enJAF8,2773
torch/include/caffe2/opt/bound_shape_inferencer.h,sha256=TZw_bir8s0NKFf4r8DdHWU0yaCw5uZv-zfxdKlSu09s,5525
torch/include/caffe2/opt/converter.h,sha256=s73vfufMxMx_p9ELJrkkx6nn6Rdieh6vQ6TwOK2msXM,3028
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/fakefp16_transform.h,sha256=mLIoj7neUj-RieqgE2lkRyQbY530OGxCpF5s5eMbuQU,587
torch/include/caffe2/opt/fusion.h,sha256=q1oGR2OJtkn_DoG1ui0HKEJXupT76ndl3X0kc7L4iU4,4142
torch/include/caffe2/opt/glow_net_transform.h,sha256=1HP5p6x5tYP7GGn7DqDTllg-E9twdp6dkjYUGtpcVeQ,1280
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=KojXjxjPnqhVzxEukFzV6ZTNJXh_P8HCVXnXk3CqUO0,16207
torch/include/caffe2/opt/onnxifi_transformer.h,sha256=1AK-N8kcO0uxm_ydWOuwVbeXObWZU5zmDQiQWwwR7ag,5597
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=oH_MJlSaysTgYK-c1cyUx_Bolt9y44f2AF7grP5WGxc,4476
torch/include/caffe2/opt/tvm_transformer.h,sha256=aLTFGOBlRA4W0DQJAh3rYtl9vqeV1k3NV-MDej-6_wg,2995
torch/include/caffe2/perfkernels/adagrad.h,sha256=FMpByNCTfnaf6KiXlq_P73Uicf3bWgGfbmqKmsQlIuA,6068
torch/include/caffe2/perfkernels/common.h,sha256=V2qwWsntWDSbHjvIZ-KCVnZZP39ktac_sIcJsTrRS94,5263
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=LjLpHDgGD1DNR5cFNc3lPRqhTXPj-be6apC4FuJJnno,1672
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/fused_nbit_rowwise_conversion.h,sha256=3TT0PQjaylvPczmltwy15oRepUxfP1RDi36sIftZgWo,758
torch/include/caffe2/perfkernels/lstm_unit_cpu-impl.h,sha256=ewpWDhBbeIVV7u3gZjd7RUdJ_wIkDfHCD1waj2iJ4lQ,4220
torch/include/caffe2/perfkernels/lstm_unit_cpu.h,sha256=x3CdSCUQYZ6vjiyNOn0btyfKU3LCJZ22lYe2KpgLfMA,1446
torch/include/caffe2/perfkernels/lstm_unit_cpu_common.h,sha256=RDc2ctgofvMW-1Osmra_hNgc53ixnmSIr9Y-u1VvRdI,1442
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=UE_A9LSlIcWHR5_R2WfHBedkDz7hDuzspeYkHzwWCU4,833
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=NTfcDqwZ5gc6F6rJf32zAEN25KF9Ti8n9s8cZOM1bQw,241
torch/include/caffe2/proto/caffe2.pb.h,sha256=4pYTw983ajoxsP_Sj5Az40AmpTM4ckB_TPJ9ckHhFHI,433707
torch/include/caffe2/proto/caffe2_legacy.pb.h,sha256=rs5QMjUI1F4iMm00r0fzDaVgsrn3460h8iy0ooz4hy8,21556
torch/include/caffe2/proto/caffe2_pb.h,sha256=KUq1ykR7EPB91gkaJ72tAHX81c8D-2PzoVAeFdbxCWE,4463
torch/include/caffe2/proto/hsm.pb.h,sha256=kB_zGikkubjlskZM6GO7Eg01FG02_rVcOb2Kcmg4U-Q,52243
torch/include/caffe2/proto/metanet.pb.h,sha256=91wa8O_e0p9SNXMu9MppW8flUu7-GD6PlS9KUGwS628,105076
torch/include/caffe2/proto/predictor_consts.pb.h,sha256=uTtKm3jWk4s3IvLl8Cm0Go0PBWyuOEXltEBfnE6jFHo,77554
torch/include/caffe2/proto/prof_dag.pb.h,sha256=gz8lRG4ATfy7CZmjoeYfU6hFCg5PHpuYR5_XxCS8fQg,71991
torch/include/caffe2/proto/torch.pb.h,sha256=Lr3mzOcybp3TT8b0d1UsGdARYA4kTsXW1ITvw3-MW8U,117705
torch/include/caffe2/proto/torch_pb.h,sha256=DZ2j_GsS8JGZ8qmFJycD5HpqcPNE5UkPnZluFyLffbE,206
torch/include/caffe2/python/dlpack.h,sha256=QQ4z_amZhvAsg8D9t5Dp8e6l3ExaTuPGPrx4W4bLkMc,4693
torch/include/caffe2/python/pybind_state.h,sha256=QBEnh4N0-7hImZdVCrThF6iZ3YU6_NIvqM4in-tsjgc,16040
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=cpgz5dDwBU_EKVxmapuudblH6PcvBYuSqXjJSZKkA68,8618
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/crc_alt.h,sha256=FTXZ_vmdS8cCj3lFhIACCmufBrNdWsdZKTFUkP2o8P8,75244
torch/include/caffe2/serialize/file_adapter.h,sha256=8BXFSkjlR7aYt_TIzMHHolgcOPHLfl-DAn4GXwL-5Bw,687
torch/include/caffe2/serialize/inline_container.h,sha256=7u6tWheoQ_L4HNh8M7psQfrNmKCnN14l-JToDgpkUb8,9661
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_fused.h,sha256=E-FaC79HDNqP9DVoENwElNUdvs4SXAImKl6xGRXwnrc,16632
torch/include/caffe2/sgd/adagrad_op.h,sha256=u9fRSlnVMUI8ETfUmzQ-AVAokZJI-m55r0n3aHyMW7c,16945
torch/include/caffe2/sgd/adam_op.h,sha256=qrJFF1dQOdjC7sR0Mg3wKhk86CAawZ6fiXhEn-gSWM4,22038
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=HMhr2tuRwj8ulqj4hfDsT2E69tixmb1SlNP-pz4FMxs,3323
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=0ktIrsNus3LkXemnzoyeC1s8LZoqm0O66Tkvu8HTva8,15135
torch/include/caffe2/sgd/learning_rate_op.h,sha256=Gjwt6OyFO5uGLWSAcWoK2u5uAf7UdgZEbaSm5kha47w,12696
torch/include/caffe2/sgd/math_lp.h,sha256=lBDTw9ex_ATfqcc7hXC-d-p8OMZm13Tg1qCRUaqoU7o,655
torch/include/caffe2/sgd/momentum_sgd_op.h,sha256=5Pj8afmSm6Q6a_aGeABeCe5s3YLqAsoCfr52_KWRWW4,6035
torch/include/caffe2/sgd/rmsprop_op.h,sha256=Ap_INdw53dGjUSbCtHAZnhQrPnYWIEFCzu7KfKBSuho,1980
torch/include/caffe2/sgd/rowwise_adagrad_fused.h,sha256=Wmm5Xjo2EhFyakx00n9HuTfLKzs5Yd6JEcHg5yOUmD4,29598
torch/include/caffe2/sgd/rowwise_counter.h,sha256=2YYNQw1cJAjJjwJFKZru6daohs9zPX0rUx3eOUrC1Fw,2083
torch/include/caffe2/sgd/storm_op.h,sha256=eA46mmS6LBXz093FyGu90pR_jIiL2pVi-S91v2lFjn0,5915
torch/include/caffe2/sgd/weight_scale_op.h,sha256=3nPstAkvnb9sAZf9UN5dZ5BH-Hi6ySS9i5CnY8A0zVQ,2552
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=2uSjV_-ogWltYJ72uTUE6zg4I5T5W4NeS8oIGQyDR-c,1585
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=Mn6Z3sW8TIxsIwDPEgrfw5u4ztpzKvipRJ45KW48cso,928
torch/include/caffe2/utils/cpu_neon.h,sha256=DB9ZQAUxa1tquy3VWlAM5SlMH4gMcp-8VuRsFy51w8Y,1578
torch/include/caffe2/utils/cpuid.h,sha256=u_VcjGfaAc5X3bEDCVzEmrr76UrQUsNFy5lBgEPOFxs,2566
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=fIEcwJrDasNjI8uuzV9OmkT1Q65eXatb4XN-2xE-5ts,3634
torch/include/caffe2/utils/map_utils.h,sha256=pQSebmsVLmIE7UOa7N2BuF5YPJaVf6X7mmMuFxnCJ-Y,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=XVZnR8zPqlYK0uKKK5WfynvJny9Tt97saWNpCKl0TKs,6403
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=EOwL-sG9UQtvp07yO-EcOGEWSA7J7wewGEux0776bWU,4658
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=xzj0XQC-XUzqjAcRqM0NxxIIgzxsVHNo4B-UnQIJ5uM,12638
torch/include/caffe2/utils/proto_wrap.h,sha256=-YWrxmW80w_tOmlZkreElZARXkDIP5Xug1OR-Xcz7LI,381
torch/include/caffe2/utils/signal_handler.h,sha256=7iT51EE6ZUI4JuJj8aZQiGijPTfrDBCciYYvWj_3luE,1155
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=xXxNx81alm_sGCpCMk3Qxq22d6Qw345zNXMX9EH7FFk,1213
torch/include/caffe2/utils/threadpool/ThreadPool.h,sha256=s2NVW7D6Pypv7ri1W8coF_lL4r8fpQxROe8iV12ofMk,1929
torch/include/caffe2/utils/threadpool/ThreadPoolCommon.h,sha256=w-Oa0TSn8C94N3W2btFWN_uKOMy2LxEsO5OOBNVBaNY,677
torch/include/caffe2/utils/threadpool/WorkersPool.h,sha256=OOJV_e9aGMZ7nRZ3ZPSOA7gI0Ka7JRuyogeY-ek9Mmk,11552
torch/include/caffe2/utils/threadpool/pthreadpool-cpp.h,sha256=6tSHP_Ri2PQyV-P9vXdxnB-p3JfYdAoSdeAz-YvCUJI,1417
torch/include/caffe2/utils/threadpool/pthreadpool.h,sha256=l2gXF_LQmJ0TRWL5BPJTIMsdrc0eaO0ohIbphmXJOqA,5548
torch/include/caffe2/utils/zmq_helper.h,sha256=3-UZc3IvZNPm6f8TTpCRfoHJdQ9E_ovJnAxLi06OOT8,3020
torch/include/caffe2/video/optical_flow.h,sha256=KJbAkebKlu4sTE44TwVmk9ZXWr9BDOXTxC4HfajbbxI,1306
torch/include/caffe2/video/video_decoder.h,sha256=GLY05otbJOACBW6SC7OQl4iLDQmKBdFcE_WM0MezVOo,13874
torch/include/caffe2/video/video_input_op.h,sha256=SEDnaPD6P6JnUSz3aoL-rHche0zmzd6CJz91TokosqY,34806
torch/include/caffe2/video/video_io.h,sha256=IfoK5DUEH6K23ehWk90ROt3CDQ4BVwo48U7bI56T-zE,1298
torch/include/pybind11/attr.h,sha256=vY6zywm5-nMGqEIjhrrglX9xiZjG9SeTIlwNGue0Y2U,21396
torch/include/pybind11/buffer_info.h,sha256=CDyEJFCc33OlagefWiynwJPkIberJ0yFB3IldbDBRPI,6118
torch/include/pybind11/cast.h,sha256=ugaPPFQI3j5rxACc0YpFSEuBLWAr-EvmLAIiMDGKJzY,93950
torch/include/pybind11/chrono.h,sha256=4cQnx50X6HkfUge9mu3b0iVaFb2KZ-gqaHwoSuJc_DM,8185
torch/include/pybind11/common.h,sha256=ATg9Bt1pwF8qnNuI086fprM4CUTdrZdk_g2HXE1Sf6A,120
torch/include/pybind11/complex.h,sha256=xbnVAoEN5FAiN7pf_585mPZ1N86o5djHBWnk-38VzsM,2037
torch/include/pybind11/detail/class.h,sha256=rR5McqTt7Vwykm-VGdDnJGSuni01j7H3_wewYO75CE0,27803
torch/include/pybind11/detail/common.h,sha256=bUjP_yvb2-JjCt2Q1Ep82kYz5KX062UWcUgedQSXjSY,39912
torch/include/pybind11/detail/descr.h,sha256=8Kp2nd0LJhbO-bnqOapPQgOQi4XVoD985t4fkOcwLvY,3602
torch/include/pybind11/detail/init.h,sha256=xdZn5UE_dr4kfSWcntL-eS7VD2NOqM38PNnMMoxH0rw,16397
torch/include/pybind11/detail/internals.h,sha256=jU5AUvZd08pfkuGD2CK7Esn2xkT7Bw64rrXzZrfPlTc,16373
torch/include/pybind11/detail/typeid.h,sha256=dQAZIqTcs6pDU7bVkrbSshbL64wlfsbAQHc5k7bGPLM,1486
torch/include/pybind11/eigen.h,sha256=uyVn9JxFqrWmUbiw2XBoq72x4iqZ5bNH0Fy536q2NE8,29086
torch/include/pybind11/embed.h,sha256=2-MG1gzWg3I7bRQvG6slmO1bWciavCDwKnCqQFUd1v8,7843
torch/include/pybind11/eval.h,sha256=TMD2_DENeemkumLoMsYgbzYtf7H7hR7oOV3hAyiOocg,5079
torch/include/pybind11/functional.h,sha256=5opkJaVD6Ds9w0jV8lpWiv8GkxJkj7u8sCHq29m3Tr4,3709
torch/include/pybind11/iostream.h,sha256=XJF20znpw69gGtk5Jy9knUHkTy9-bFLWFNY3Rh9HxEY,5991
torch/include/pybind11/numpy.h,sha256=graD7Kklz2f63b5Xi4rZNBzZ-lILk8JMAhvP8V9wUmU,69310
torch/include/pybind11/operators.h,sha256=bKrLYtY7ysm8kt4_aL-imhNx3xFy2FXt5osy5R1vTvI,9085
torch/include/pybind11/options.h,sha256=5MB_-Sm1vI5GUGYOWX1lPP3mE-EJ9VBCOnigpzLyYRU,2049
torch/include/pybind11/pybind11.h,sha256=GVDELKW-PLaDpBzdFh-9V1dqBuZtPFJZT6d7msVGKPw,108393
torch/include/pybind11/pytypes.h,sha256=6Xjz7JwuoVrifKGcEWcnz2ZTf7TqCTebcOlBjDjaL6g,65764
torch/include/pybind11/stl.h,sha256=LduC5U_sN1HGqgnrOmZy2sh74cC1kk_cIH_IN3glUp0,14136
torch/include/pybind11/stl_bind.h,sha256=j-4p_N4f8cBYcxNnhy9PDCNRSf-XLfNns85NdngYu0Q,23356
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=bk73mXjzsg8zxv-QVKDZdxOiN5QsnlAVj0W93sb7t8c,696
torch/include/torch/csrc/DynamicTypes.h,sha256=ynYl9AOvsFuHa5lzaq7EgQHpIQWbfOkp3J2mUzmkwbY,961
torch/include/torch/csrc/Exceptions.h,sha256=vPnWmnMWawze_byrgi1ulU0qoU-8AGjsROsXJiPGLHI,13870
torch/include/torch/csrc/Generator.h,sha256=0Y1i1NKSg3AORpo6H0v1SkutJnUausw1a5yRdVdL37w,876
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=RPE7_LZwwFrAxS3MJA8qmoP7LcbtjP5DysDia5WL0J8,3030
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=fEENWnfPjGuD-kdhKlL7cKkUnZD18an9-DnyfHfPC6o,279
torch/include/torch/csrc/api/include/torch/all.h,sha256=nGRrayFRqCMD1D0j6XWkIZg5xWXUmLkpjPZiVk9C0Tc,415
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=_o7zEJxY_9HRhlAvqqce4yBILOA-ujlQxzboE3KaYfU,625
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=hRm3WQZrYCsRrvVWGVltCYQHVRHf8pCXkJ2Sy6zzICI,2342
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=1MRpNHwB32W7AlTN_sX3cHXn8XftFRn6_tBCJQHcOiI,3255
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=03rttE-DR5ZLkL6IZ_j-gfdMBsnj1QkoV5Burnv8JdI,2296
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=GbjJ5AIKE6Ownf6AzUMWYv3qyWwCGr-VwqNqNjAnxX4,5284
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=VQq8KP4c8Z0ZtgaofhPeNwPNq0oK_7dIgJoh5wNXpw8,12357
torch/include/torch/csrc/api/include/torch/detail/static.h,sha256=pUIWtGGNH8v1WLnEULDUp3nUXrEn5mlgr2VEUCvP2nQ,2200
torch/include/torch/csrc/api/include/torch/enum.h,sha256=oGTXCMliDqsMPRAOHkK6pv71Rljd_Tq-N2cf3pN7F1k,6011
torch/include/torch/csrc/api/include/torch/expanding_array.h,sha256=xdIRuaIOHu2u-1PRumDLTVMtS3ueasRdiZoyxoNVf74,6501
torch/include/torch/csrc/api/include/torch/fft.h,sha256=_url44SUE3hY09QLT8qD9V1Ft3wfRr9eRfwxlF8tTn4,5816
torch/include/torch/csrc/api/include/torch/jit.h,sha256=pL77H_hUgr7jsfPN5-muLTqngQTivjqz6sEFeBD-tNk,927
torch/include/torch/csrc/api/include/torch/linalg.h,sha256=-9scbzHPNn3Kkh9Ib4hR5tXY4JnwuXePgviovm6ZS9M,2256
torch/include/torch/csrc/api/include/torch/nn.h,sha256=Iah9Blyam2lcEKX85589p1KxupDmsbwkigjMErXYSUI,251
torch/include/torch/csrc/api/include/torch/nn/cloneable.h,sha256=wTYQ7sHajk7Z6ofqEwWHmbMi5tdQo9BmjJWbmOZ1Z2Y,4251
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=3m7F-mNmMXhk25eQVatfChsV7O-yvGaUA8iIyvzmz2k,28894
torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h,sha256=LzSlArRfDEJAGTqHwgz0NbT3AoamMt3VGpbj04XzZKE,2040
torch/include/torch/csrc/api/include/torch/nn/functional/conv.h,sha256=zs8T_V_F5auSFayg6s1ahVMBAI-FDrDGSEAiabktpUk,7679
torch/include/torch/csrc/api/include/torch/nn/functional/distance.h,sha256=qn9gyhS7mvmFqkhmsuTvrK_OSDqz3bNGxmv2_P06yVY,2582
torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h,sha256=MUpntdi7ZR2qrHr2ZYbTo_IY7TpCj9QBWY5BDk2FxMM,5853
torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h,sha256=IxEcvAz_c4QSKjCXNaKOLrVfq-BV8vpTpeNwgF0DH3I,6350
torch/include/torch/csrc/api/include/torch/nn/functional/fold.h,sha256=JNvhtH6igjmidlFlC4Vh-5qiZIlCJea_fcWZBefwekM,2873
torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h,sha256=loyNK2zDrMZr9eQeBeRR1vvgn4-HB49WoZGcVT7RPDc,1487
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=dI48AdAwXL26Rm_rjEbb3pKPn8imfVY--Gv1ccniUo0,28465
torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h,sha256=RqhyWOTvB9EbQ9bkKQauZOlTm1WwdUusYCfCeEuRtkY,5858
torch/include/torch/csrc/api/include/torch/nn/functional/padding.h,sha256=WdnKbX7kZaM-YtUlgPUBW9jufEmE4nYRhWD6i3Tp8KU,4232
torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h,sha256=vSs34cNdmRmtMId4rRlhOnbEBV4ob95hgTvQ1A5Mgdg,1046
torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h,sha256=3nYVfl3V3DQoggAIBnSO237dbBHOVC7HfoQcVJZ0dcU,34392
torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h,sha256=NPj3urW6VInrdSp0UWoa4sWM23FjjbC7lPru2xSjVOY,8413
torch/include/torch/csrc/api/include/torch/nn/functional/vision.h,sha256=xShNXysVSxreiThZUSUZZtU8wvWFWmuCagkV4IRBo8I,3484
torch/include/torch/csrc/api/include/torch/nn/init.h,sha256=cpdiAo4U7gsXn7LvosBk1ECKEp0e7UwwHwQmNTknNAY,4942
torch/include/torch/csrc/api/include/torch/nn/module.h,sha256=Ausns98e-4HiBBW7zxLW8zWRK2tnBvE5blHvGu7OsZ8,26535
torch/include/torch/csrc/api/include/torch/nn/modules.h,sha256=a2IyUF8IhAcUJf2WEBoAexXPvV_6WxCnrIvGjR5lClU,1238
torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h,sha256=L4Bhm5qAwrm2JSeFXLt38BftG24smI7IX1OzdK3jKlo,700
torch/include/torch/csrc/api/include/torch/nn/modules/activation.h,sha256=VMqRd0HC2cM6SSX0Wx-t7K2FdOjreHWkXiXLqqYo4CU,29409
torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h,sha256=QFCmVIg9GD867s2aVMQC9Ix4Wj5Gb3RxBGnfJghzCkY,3422
torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h,sha256=ncH5k8lYkSq5dph6tZQGFSEcyeWNeZ1_XHW-N3PaG_M,7667
torch/include/torch/csrc/api/include/torch/nn/modules/common.h,sha256=8Ke8Ygtxt0eD6srsrb0EcZ62a-2zkPqYNIEMLEF9iYc,3546
torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h,sha256=Hb35nFpEJveikbo__4_8GvKdzIgbNmDzd7uXtHqlLoc,13665
torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h,sha256=W9nwM7nPuuUeV61QQ_tmH7iNKdejnqNoUI9mx1llG-U,4743
torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h,sha256=S0Ss1xJenP6vLTiMyI903KDjIWUp40Ba09PDGjclva4,3918
torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h,sha256=bY4lMiDJPSh39aB0fKrjAbQ-Dv-QimA2rGB9FYsiMJg,3409
torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h,sha256=AY6MI7keaJpoR_QvlXQVCkK6fFTzF2TKcToiRsl7Fg4,8513
torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h,sha256=Hf23vbGDSxDerhU0XVlUVrPG8_EIDCOabjNis3oE94Y,2775
torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h,sha256=gQl_MGpIc9yQfF-_7ECL8Ko7SIyqnJpF80LVZSRI9TE,4423
torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h,sha256=deM6aMaNCbqGwGvOPM4ph0OV7o9fCL6dE95yjhiKeqk,5625
torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h,sha256=Orl35w-WQKxX5WPNSFFkBIDQF0ebNN8GhZ-FZncLUBc,13680
torch/include/torch/csrc/api/include/torch/nn/modules/conv.h,sha256=6S0hUGS2LGINAwjhN70SaMeJqhGAbBSv8Fakp379B4I,13619
torch/include/torch/csrc/api/include/torch/nn/modules/distance.h,sha256=kSWlHJzq8IQnkRLrGJMIcTYO0GWXoJoo4eRFSKTflbo,3095
torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h,sha256=dcTxWOt_eSQ4f6a5H7uI8cOe0tVzZDQqIg1JOToBQ7g,6456
torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h,sha256=I1V8-Up6nvD7J49nDqlqBRU3Q6bZJMI0UVnH7tz4rPc,5823
torch/include/torch/csrc/api/include/torch/nn/modules/fold.h,sha256=Fn_Gfe19HxFho_wmfQNwmav4pkWtwd9Qu_JD-2Uc9_4,2847
torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h,sha256=ix2dFTNR89Afb3z5AQo8kuEvLCRhMUq0hTEwC2mtvsA,4407
torch/include/torch/csrc/api/include/torch/nn/modules/linear.h,sha256=qTAcESN50suYhDOcA291u7mzwXCpWbCoVLy0FI_MAXM,7429
torch/include/torch/csrc/api/include/torch/nn/modules/loss.h,sha256=cvicrEkW4r66XUi3BQMlAAg3FhfkWTNnjCNd1PlI0Bs,27752
torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h,sha256=Cfv-_PMiLMIC2FpGKh30JwaruOYgwUmx3br5W_tZPI4,6908
torch/include/torch/csrc/api/include/torch/nn/modules/padding.h,sha256=PACRLX1CWmfZkuoKDgGyOmlBMittXmxP-QoFSX1OHFg,12091
torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h,sha256=7qPTx1iazIPpPj3Q9TGYvmEcCnoqBLUM08_X0PTRU2s,1632
torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h,sha256=rMCi9lKul47PZN5qAaOkPt8TrYNS42-eg9b1e_P9Tck,27995
torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h,sha256=fqmqQdb0v9V_7xQGPqZa_hm-W0mzXY4lLSG7ddXZ2eg,12796
torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h,sha256=6SwQka8WFjQ5InbsldpEj45vjZAUaWCILCm-5o50n_0,5527
torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h,sha256=itGk4NMHoGzGxj4bqp9a2DSlTdTkjq7gS7SvUZ1wFoM,5024
torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h,sha256=TsSdMleYYKTYp1ZswncP1PlwxGYiw2i-qamTnkmGSrM,6487
torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h,sha256=wQ08o4l6qkucmKNqqioYZdhGZ6MPHpKhmite0JGkiDM,1663
torch/include/torch/csrc/api/include/torch/nn/modules/utils.h,sha256=jwne6Bmv_LKP6DA3pbNEOwnVnaWLKmAtTOD1mnkAliA,1405
torch/include/torch/csrc/api/include/torch/nn/options.h,sha256=x_Xy3S3Pn067c18G0bMFRVwJwIhznnnLRZosQrkoCWU,645
torch/include/torch/csrc/api/include/torch/nn/options/activation.h,sha256=JcPcyrZDpQxlNjrEOAI1iZza-OA3aU2fR28IdTi6LYw,18161
torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h,sha256=Lq7OSNAzSBmsLOLJppClXiXAOecdFj3M3KJtFhUY4jQ,1073
torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h,sha256=gGrEAQaLgQtbdpP1N9GMgOQnyHC6bkTbfsCVKFZG64w,2797
torch/include/torch/csrc/api/include/torch/nn/options/conv.h,sha256=-m40Tl75qt_K7YnM3zQ20Dbl_xaQlrgIMTSX9036JBU,12928
torch/include/torch/csrc/api/include/torch/nn/options/distance.h,sha256=_N05P8CC4VCbe_AFnG0KPTDFoOnhZtG9IJIK2EOfdy0,2020
torch/include/torch/csrc/api/include/torch/nn/options/dropout.h,sha256=EfG5Oc19jZHRcFdumb-LpuRci3WHCi5FmRdZUScSYqM,3076
torch/include/torch/csrc/api/include/torch/nn/options/embedding.h,sha256=IqhXrC4_uXi0_LmEx8pX8HT5ojERs9U5UWHHVckxtDI,9827
torch/include/torch/csrc/api/include/torch/nn/options/fold.h,sha256=pcVjkVh6eIPifuebLYER2YpCE7mD6PmMVVmE9SLnqfk,2995
torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h,sha256=Xg4iWgXzcByGcwLbIWkKuGy3QQIdVQL6IM6ydWl5VaM,2319
torch/include/torch/csrc/api/include/torch/nn/options/linear.h,sha256=SDfy_IpG7WfdmpNYwq-Ymz2MQZL2ISzTpXtaeEMzIaw,2829
torch/include/torch/csrc/api/include/torch/nn/options/loss.h,sha256=b1LNT8q3JWyYCg2Spw8_ytc6hmYBr5SXF8K0bU3lUsQ,22471
torch/include/torch/csrc/api/include/torch/nn/options/normalization.h,sha256=_uK3VuhsLxcd-Rdui_hEFZ5ipC0x0IRYKGOwNJfZUMo,5517
torch/include/torch/csrc/api/include/torch/nn/options/padding.h,sha256=2f_nrq2y4MwpOKp2t-RTrAqMeZDjElDvNNj5cn6cYOM,5692
torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h,sha256=2i6QwZ_XN_PmNj3nJ4kFzNYbc--LVIM5XkjuUgNQwFA,928
torch/include/torch/csrc/api/include/torch/nn/options/pooling.h,sha256=yC5vz6skL7R2r7wF_OLOXrPcI_okDZfYAFik2UBZMsc,16988
torch/include/torch/csrc/api/include/torch/nn/options/rnn.h,sha256=-lLWFz_pBbEgBgKv21R54SR69rVtCVQ_5DXFnuaGNzg,7955
torch/include/torch/csrc/api/include/torch/nn/options/transformer.h,sha256=Pm8zKQJD-zFhPKZn9i1cPfKhDCxy_OzyyvMtXOJDCH4,1843
torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h,sha256=nw4Ag_v-xOPD8x-EWryHKMBSmKpJo4zPJ16tyJ1b3CM,2363
torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h,sha256=M0sW45l4z-d-pQtUI6vfTFj1c73JbzzTcQxsSdbhNro,2080
torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h,sha256=07jdrhJ0WPiQqyTJrUY25_g4dF96Y6HU5w_bRVCbY18,3829
torch/include/torch/csrc/api/include/torch/nn/options/vision.h,sha256=4Yk6SwdqSYpD678i9OnrUglyTpVGpfHFFVtbgmReOvU,1092
torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h,sha256=krcZCOVrlFBb-U1ps74ZGcSevH-Hc33OpYmh7u-75-A,11002
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=GwKp6QPIWOMinoi_cOCrTzj4L_yWLaFFGT-82rh5oM0,6820
torch/include/torch/csrc/api/include/torch/nn/utils.h,sha256=WCbMNSev0r4C0hIKiE0SK89PEv_fXBGZA3jregGzNNE,131
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/nn/utils/rnn.h,sha256=321-IJaOmlbKUs5gzLuMT92TqsmUj35JGlSbc-nrXGU,13297
torch/include/torch/csrc/api/include/torch/optim.h,sha256=AcmwO3-Q5kGCkKfKQhj9rN2suQECi1UYTY1-NTqadRw,236
torch/include/torch/csrc/api/include/torch/optim/adagrad.h,sha256=IKTseUTbzZ7oDEy1dsTCC6RgQJx_ooRsAycI249FODQ,3094
torch/include/torch/csrc/api/include/torch/optim/adam.h,sha256=AWoFHu73rFNPyeJqKxzoRjcFPFqTrLz2vcZ_FhnXbdE,2828
torch/include/torch/csrc/api/include/torch/optim/adamw.h,sha256=A44kcK5NLrW3IAFBnOKJNISODLVSMsCS9nkDsg19-t0,2850
torch/include/torch/csrc/api/include/torch/optim/lbfgs.h,sha256=_cpLIk47GK7f80v5FuInmgAC1J6KOoLiD5dI7fxRKP0,3379
torch/include/torch/csrc/api/include/torch/optim/optimizer.h,sha256=vxkPvDXwCWCS4axaFApD5BBY2Jy_0h_zxgnu2Cbnx5o,6891
torch/include/torch/csrc/api/include/torch/optim/rmsprop.h,sha256=l3bsAGqCezOpxe4o26kpcutG8rPjRUYHqZeQJzkJN5c,2826
torch/include/torch/csrc/api/include/torch/optim/serialize.h,sha256=LW3HEI4tFLi-T-J8YvuGe5YccKrht3MgTL6XMMB-m5I,10904
torch/include/torch/csrc/api/include/torch/optim/sgd.h,sha256=eqed7KMC9vA923wXCBkLXn9_b_SOZpYyP3hIzKywfqw,2545
torch/include/torch/csrc/api/include/torch/ordered_dict.h,sha256=NmAkSXuOzXR5li0rc9UsAGh1MyAoVncSQhE94H5FSo4,16214
torch/include/torch/csrc/api/include/torch/python.h,sha256=oH2KK28KfsHwErKBfhRnx3CRbgo8HoNT6WdM6LhtfEs,9660
torch/include/torch/csrc/api/include/torch/serialize.h,sha256=i7X-1MUVnwrJEmaQeajAHgUTBIUxNVYU8pqo4Qwu_8c,5162
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=LYELSgadEroOpKcrYC53_Wz8RDv0ybzLDRC6jlxcirw,3992
torch/include/torch/csrc/api/include/torch/serialize/output-archive.h,sha256=Nw0hDKk1QkkPMfXS-n_ryZWo8_DDX_tA108zeU2o9gY,2315
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=xVvPrGZfZjcNg7crLdACa_OQLbhyAGQe3ZWO89Z5HUk,2070
torch/include/torch/csrc/api/include/torch/utils.h,sha256=ClYPe1DwC0xvZH3JdjrVytp_sjjWGjBaTfHDg19mV_s,3445
torch/include/torch/csrc/autograd/FunctionsManual.h,sha256=PcbmyI2p1benAo4Rc2YkM5dD9vtfHZMMmMfxlgW6csA,14861
torch/include/torch/csrc/autograd/VariableTypeUtils.h,sha256=ZynNzvJbDy104A7UrpQW_jV9PK3tSSjOtlGlnQ5bLBc,9218
torch/include/torch/csrc/autograd/anomaly_mode.h,sha256=b1Phf-iV12HO8LPnOvqS06S3Jn7mbgXEsh4ulCiKnBI,643
torch/include/torch/csrc/autograd/autograd.h,sha256=M0IMb60uZlW3HeuM6p7q5WpmOClrt3o500_S3TiZAFs,3831
torch/include/torch/csrc/autograd/cpp_hook.h,sha256=-gGLQPf5eUsCofR2Z7Jdd8wKGRxbN5Evk29pcK_lVAw,506
torch/include/torch/csrc/autograd/custom_function.h,sha256=GGWRUHaltnQhcNikW8qx0r2AinwNsAya2o_miolTD8A,12295
torch/include/torch/csrc/autograd/edge.h,sha256=E2eKKx4iI-BeNZ_jYVqQft1pKE0iDduUyKXrOr3mygw,1627
torch/include/torch/csrc/autograd/engine.h,sha256=_FrHimYjJk6Uh1xZONUK_sYyJHKWkEOb6_FSSqVsPoY,14910
torch/include/torch/csrc/autograd/function.h,sha256=npLfWEyp_hY016Sy0-cl_E7hcpRb0IwcjIh9D-25af8,19629
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=CyHNCZt8AwOxnfyQgeOtCDYHQXbwBTRqG400iezNnOs,10621
torch/include/torch/csrc/autograd/functions/basic_ops.h,sha256=ny2Gt4yaNpFlXa4fiEBNQod65qU1Sjeiyp7xRj078ow,2174
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=uIzBdkxTP4xSoHA8_QL0ePvJ3nUm5WBt8e7hGaCXZG0,3992
torch/include/torch/csrc/autograd/functions/utils.h,sha256=iQb2UefcJ_McqQTBqqXKeOFgCu1CZT8xlcm-N6RNGTk,2687
torch/include/torch/csrc/autograd/generated/Functions.h,sha256=p-1wmc5o_LRHOmZW22zh7m3xeM_ockNmjsOrJFhgmzQ,215052
torch/include/torch/csrc/autograd/generated/RegistrationDeclarations.h,sha256=mmvHroGBw9Hzugt7WgXz3WtNIvRPN9tsScxeEecRDNA,437890
torch/include/torch/csrc/autograd/generated/VariableType.h,sha256=fVklUYV0VGZ820qcvuIBYNszT80IDf9hwdcnRIg0pCw,1582
torch/include/torch/csrc/autograd/generated/python_functions.h,sha256=NZb5aywQZWzzoU36jRufbTaVPXENKixj4dj23C0CcfA,295
torch/include/torch/csrc/autograd/generated/variable_factories.h,sha256=dyVuB2mbIZHz5VRfZlI8WvBQ1l4zIX1kmpYiu645V-g,37206
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=XhfpahGVNczVainnloNfr8kggP7QNv7gmcP6jNTGbD0,1384
torch/include/torch/csrc/autograd/profiler.h,sha256=PZ98UVPP97HK6CdabZLJuOTMiz_Xri4ItFD_29_GVyE,12458
torch/include/torch/csrc/autograd/python_anomaly_mode.h,sha256=Gd4goPBNli0Vh34mdwwEhXiOqdbu4zvud5VYKaKUgDg,916
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=E93bY78_0pfvYQkenCJ1gJ3Qr3vwc8EArGqStkOdCQg,1086
torch/include/torch/csrc/autograd/python_fft_functions.h,sha256=VIgjmVlZhRNvWDsOZid6EKOJD7em_cfg2i1O-yii3M8,128
torch/include/torch/csrc/autograd/python_function.h,sha256=FBQiTyIcfaPjEueFfL3j_b4yS72I0_SrKjUHwZizEKA,4601
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_linalg_functions.h,sha256=33fZHPJXpN34DCrn9taNuLkrcT0qVFYTAjypUjnpgBw,131
torch/include/torch/csrc/autograd/python_nn_functions.h,sha256=k5TkCP79dQY9_Yhn5cWZ-QhQWSinT9BDY9W1PVZw8FQ,127
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_ops.h,sha256=bVhpo2aFwXwBfHIWCDR98zjyUTeQLdnAoToMjVfIwQQ,587
torch/include/torch/csrc/autograd/saved_variable.h,sha256=JzxqqONGO43Pg_Eb2Ch3XfpF5MrCWl5_FWf30n39vPg,1928
torch/include/torch/csrc/autograd/symbolic.h,sha256=1MNASLHK1Zi1j9QrZlNlXkRNaL1CsSebnOcBnMrifPs,330
torch/include/torch/csrc/autograd/utils/error_messages.h,sha256=merHHtD1r4etEDlwfFo5hnZZGmlqAR-IKmE7cYmajJ0,525
torch/include/torch/csrc/autograd/utils/grad_layout_contract.h,sha256=y-ZyxA4734dTMqUnpr1l-n5KWen9B0ndLc_h_jmY3LM,1416
torch/include/torch/csrc/autograd/utils/lambda_post_hook.h,sha256=lJoh2WBSU9N0os8dIuB8r5UExhXmjJjOBdfOLUy6yT0,976
torch/include/torch/csrc/autograd/utils/python_arg_parsing.h,sha256=JZglBHkPkm_VEk7kPDSvCjFrR8DYd6vXlh309cESbf8,1334
torch/include/torch/csrc/autograd/utils/wrap_outputs.h,sha256=IaZuQnxMloPbYQQ3eyEY9hVokLB5dMQ7ccw3-3VJoF0,7102
torch/include/torch/csrc/autograd/variable.h,sha256=MP07YpNzVh0QYfJr6_FdQ96xvKsXuuICKcFZC8LFUj4,24180
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=JkLMumIhIPnfjdmTLZOk4nrZzy2YkeOdkjbzyYNe_u0,2585
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=-zfNVs1vdhjCLd-2QBrlYbu937het4H4KTbsANn5Z1k,1508
torch/include/torch/csrc/cuda/device_set.h,sha256=fURKPxR2g35_x2Q1Zm_x0yrTTLef5162L-IUUKzfgDk,152
torch/include/torch/csrc/cuda/nccl.h,sha256=EmwXDUph05eC5eBUCK99NCuilFW9PxLziISczaf4P8w,4008
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=mXabbNdH4FtXVlocGG-7kZTFzMasimpMvkDoPj0ZFjI,524
torch/include/torch/csrc/cuda/undef_macros.h,sha256=v4TfQRnRNvtQQQR5mCcyL7Mn4vchPp5aKij23DZpXBc,932
torch/include/torch/csrc/cuda/utils.h,sha256=UdjEkmr0e9o1tK1FSIQbuJXnLU7VIxd3CofX_EcP77c,871
torch/include/torch/csrc/jit/api/compilation_unit.h,sha256=2zFzHQBUmpU8ovWzUW244Wf7XNK-yiCS9XhKjh55-zE,10500
torch/include/torch/csrc/jit/api/function_impl.h,sha256=PdTcDRCirUVi2RatqZU83lRw9i8cZhmrwrafYb2jvPk,4249
torch/include/torch/csrc/jit/api/method.h,sha256=KUHXhav9avpTWiJIgfULurMQ1v-iYLBZIbdGMFqqDJE,1589
torch/include/torch/csrc/jit/api/module.h,sha256=PtTzb-ztdiYwaAVmLgYNtLb7hTzDOV_c3RvxfDwvdfM,18705
torch/include/torch/csrc/jit/api/object.h,sha256=GrPd4lbp7ElCzUN7vILiVJySRqUVwDn-7NJgKa5IYq4,4328
torch/include/torch/csrc/jit/backends/backend.h,sha256=pQTU3RdRKlTTBWyrfgoYZbQdmqE8grAVqTsdkM4Dlu0,1299
torch/include/torch/csrc/jit/backends/backend_detail.h,sha256=NYEmDhIjGqGGJQwrtpT7xV3kkFVxfhLJi_oNC2n8k04,1432
torch/include/torch/csrc/jit/backends/backend_init.h,sha256=oO64G0Ay0hdQtUeGSgXccDAWxSZ49bw_0wKNahGjM-A,277
torch/include/torch/csrc/jit/backends/backend_interface.h,sha256=i6w5cWrppJHzfMGlKB9b9B2h7KQQ-drg5-HdQQBiPGY,1265
torch/include/torch/csrc/jit/backends/backend_resolver.h,sha256=fcuqo_lthD5E7OM7nY57kLXUNzMTiMcAe0GPpr1L9qE,277
torch/include/torch/csrc/jit/frontend/builtin_functions.h,sha256=yT33Dl87zaMTYSeg03wQVPetTRAHoiYPjHbFQ9Jzx2A,254
torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h,sha256=Qm78KPiY_g16XhfY95GWDMzmytKV6XNQIGPAJmYMe4E,326
torch/include/torch/csrc/jit/frontend/code_template.h,sha256=_R8UON_m8PnPwpBnRbMKgNkBiR4BZw7QlKRKqft4quM,6720
torch/include/torch/csrc/jit/frontend/concrete_module_type.h,sha256=RdcQOTgL-Qh4cIlm5vk7udJShBuvNdmWc17Vfaokn7s,8304
torch/include/torch/csrc/jit/frontend/convert_to_ssa.h,sha256=8x2n7RU7fReThTzed3LNoQypPoGV4vcfa0_Z0tVETRo,341
torch/include/torch/csrc/jit/frontend/edit_distance.h,sha256=TEftPoPQ3w6SV4zTymxm6w-jbiWN5Svqgwh96GfOxj0,268
torch/include/torch/csrc/jit/frontend/error_report.h,sha256=nwMakjnmD85YIQZf2s4HsA9OydUtbUyotOebCMfQB68,1482
torch/include/torch/csrc/jit/frontend/exit_transforms.h,sha256=YEDhIfPqEEIN8LfnSGKIaOIAI9P8dOvC4tb8N5W3OHU,232
torch/include/torch/csrc/jit/frontend/function_schema_parser.h,sha256=kXsMPSC5T0ZdepTjGcA6fy5reTwHSCQNhv_QHK3qL5Q,463
torch/include/torch/csrc/jit/frontend/inline_loop_condition.h,sha256=2VkI2Z7yb5LPMmmrEpBpQ0Pzl0DFrOHO_-50ToH7tV4,366
torch/include/torch/csrc/jit/frontend/ir_emitter.h,sha256=VLPmvzzJjQ0JcVDcWzHF-1Ey1UhwxYuEdzh3YvW7Ws4,541
torch/include/torch/csrc/jit/frontend/lexer.h,sha256=KjuYKQkfvSyuEw_SHFOpnbHiA0tYVPR3IqJxeLYTP0M,17627
torch/include/torch/csrc/jit/frontend/mini_environment.h,sha256=5fVSkTz_lmwA3gdEUzStYBu05gOcjWduuJvAoNKkDs8,1287
torch/include/torch/csrc/jit/frontend/name_mangler.h,sha256=ImFqdy-AGwnGGDFe2OyLvoIixUO9yz31C1kAK1EQSMI,669
torch/include/torch/csrc/jit/frontend/parse_string_literal.h,sha256=9yKsiZNJzakDNjB_WuwdIv_QaP8p1uuj2qK53HbYIxg,2314
torch/include/torch/csrc/jit/frontend/parser.h,sha256=NsBOT1h2BiHIGkt216f7OuJKQ5CNrdu46Sc_OVEfuSs,688
torch/include/torch/csrc/jit/frontend/parser_constants.h,sha256=ENeKl7-wM4ljDf2sR_qynnnCke8d4YrCyxKxM5OmSwc,162
torch/include/torch/csrc/jit/frontend/resolver.h,sha256=K1ABFDQJOoz8Icebm-yaUM25nbVERpKjCNyTW_kM5e0,1964
torch/include/torch/csrc/jit/frontend/schema_matching.h,sha256=Qm0i4LkK2CAfBC3aPi-Goo2QzsNi9Yhlyh5ELn_j9JM,1943
torch/include/torch/csrc/jit/frontend/schema_type_parser.h,sha256=sxReVHFUsFrAOE1iWKLcOmSXxddP_dYspA8XvqoPH60,978
torch/include/torch/csrc/jit/frontend/script_type_parser.h,sha256=344tdBnEqbX091tkqWlR0z7iSfhdWhYHjx1XIABcm_Y,1485
torch/include/torch/csrc/jit/frontend/source_range.h,sha256=YsAq_xG_8T_B-bjG8zEKqI0GOHvyl7tIGJv3XEWmTv8,5811
torch/include/torch/csrc/jit/frontend/strtod.h,sha256=_O30xtYLvjhbFBGLCMyVJn8FxniiNTnvZFLk8urkTI0,242
torch/include/torch/csrc/jit/frontend/sugared_value.h,sha256=wSux0IWFAPGrNBf8rMv912FseFtXRz3BuayKhLFMCoc,26111
torch/include/torch/csrc/jit/frontend/tracer.h,sha256=kvggfm3kXN50682DLYE3a0Du9mhD89kPzDE_9wtyWEk,11148
torch/include/torch/csrc/jit/frontend/tree.h,sha256=kcazNeE96Q4B6_86lHNMgVd2XmiMgKpwjw9OjNV-j2k,6663
torch/include/torch/csrc/jit/frontend/tree_views.h,sha256=WY5-DbuBtjHw3Ta3HvPW_VXAk-PSgREzWFeowX1c5Fc,33230
torch/include/torch/csrc/jit/frontend/versioned_symbols.h,sha256=GYyZGbkO0rWrYn_9AbsKNDOAqDiWOLuYD9lZYThO-BE,597
torch/include/torch/csrc/jit/ir/alias_analysis.h,sha256=9uXWJ2qm38J9qNERh5LOux4PVmt6mio0FmKyCFco2Y8,10629
torch/include/torch/csrc/jit/ir/attributes.h,sha256=lSlRbrKn4X9aqMHSPt1XfmC2WqGDNx66EZpMb4J7Wzc,4806
torch/include/torch/csrc/jit/ir/constants.h,sha256=AkuHi2JPBgGyGhIhZNvKih21pLWArXoHcOeg17Hv6TE,2034
torch/include/torch/csrc/jit/ir/graph_node_list.h,sha256=l2pdmnkIV74huhE_SjlSUFL7083GF1FGsQN18c05hIs,6360
torch/include/torch/csrc/jit/ir/ir.h,sha256=zWLKRiuUDQYKj9d68s33s8pBdu1koEB0G-IJh4eBtvY,42572
torch/include/torch/csrc/jit/ir/ir_views.h,sha256=ifwEW55Aywn6lTEL-dN_aXz8A4P565U7nofliAYUbmA,4600
torch/include/torch/csrc/jit/ir/irparser.h,sha256=msAmiagsZW2qaDu9b5WIP3fDC4v8PKV3AQ8ZS1vReps,767
torch/include/torch/csrc/jit/ir/named_value.h,sha256=F1xor48KYj86FFgW8e74gj5kuwgDDinW0jZrJzT8AGA,2397
torch/include/torch/csrc/jit/ir/node_hashing.h,sha256=YFHiWACcNrteucwRCbQuBqwo0bQ6vPaatKkCS0Sb1kk,290
torch/include/torch/csrc/jit/ir/scope.h,sha256=bav8-Ls9KOg1u8uJg4HC9hgc5Pr2ZpFCaq2ToCfVWZs,3372
torch/include/torch/csrc/jit/ir/subgraph_matcher.h,sha256=MWkA3Z8oefHJCGhh2c_cAXEMLRM1xM21bC8UvaFirZ8,1991
torch/include/torch/csrc/jit/ir/type_hashing.h,sha256=SKEP-8m8LiQ2SKbCsW5jcc6SUBaNuJe84ffZgZeMf_c,449
torch/include/torch/csrc/jit/jit_log.h,sha256=qTq4xaISjcqIpzu2Y3KGnBiUZsrtOLT1WHDT4NnTj9c,3631
torch/include/torch/csrc/jit/passes/bailout_graph.h,sha256=xcF0a9C_tKZ_EuPdT8Po_TF4RA2Vzj9yoZAyV2KnQvo,1129
torch/include/torch/csrc/jit/passes/batch_mm.h,sha256=x6DsjOKNXdXaQ_EVz9FKqf281Mmcn_SlA8LR2AVKikk,163
torch/include/torch/csrc/jit/passes/canonicalize.h,sha256=ZEyVhzOh93JtrRAhb0sAkiH-KuZjVrYNAqL5Tn7oST4,492
torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h,sha256=JRZ3Ldx0_3FUSVJ78o6yOVY6R7QL61vKMjyhZunwuv8,177
torch/include/torch/csrc/jit/passes/clear_profiling.h,sha256=0HsmdBgumH_VLEhkJamTSYfxmwJMtTl91cOn1kWN6nY,334
torch/include/torch/csrc/jit/passes/clear_undefinedness.h,sha256=08karlN19r8LM-gnxr8vyJvOKMoSNn6FIjkJZXUsgt8,889
torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h,sha256=vM5buPLQzMEjjxFhzHAf3tJHmtASp06_ojgZyBJzg2w,194
torch/include/torch/csrc/jit/passes/constant_pooling.h,sha256=N1a2ZiNietyOW2zvh4tSQDsdUYMaUzqla0kLVcd5QP0,177
torch/include/torch/csrc/jit/passes/constant_propagation.h,sha256=iAO7J-5jMh_48MrZS-d23wFNaiuyAHbjjPeyN5yP4ZI,637
torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h,sha256=k4PkuqGYA33lyo3vVHJF9YXJbLU_x7WDvTZy0jrG4yw,552
torch/include/torch/csrc/jit/passes/create_functional_graphs.h,sha256=_mLDlyHDYYJBSCx6ImVAYGH8QKAxt1b6Y9j1rxQgqJE,323
torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h,sha256=I90A5WtFyPjRbmS-QgcDvG646kBsHDdW94wrMDJf-D8,869
torch/include/torch/csrc/jit/passes/dead_code_elimination.h,sha256=qCIO97-UVqUaVmO9TyFEt_Mh-oq2unIM-J96Y3_0YbI,1584
torch/include/torch/csrc/jit/passes/decompose_ops.h,sha256=9DiAUdCsDCp2tvCNck4UQR5A3U8An4bQuS8LTyubXKI,168
torch/include/torch/csrc/jit/passes/erase_number_types.h,sha256=Kmo2twe5eipNFUqdjpid5zSJaGB54xmDJZsduuVKEO0,759
torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h,sha256=U-HcU_4QjcksygXEtBVU1L13oS0C4KdEQ5GJ8JthB7U,1673
torch/include/torch/csrc/jit/passes/fold_conv_bn.h,sha256=_1eFMOrUfB-eC0dImsB5ZTlhtR-cOygk4L9p22Ps530,416
torch/include/torch/csrc/jit/passes/freeze_module.h,sha256=-4EYQIqJ32Q09sBArpJ9vntQbtao5gNIvDhciX6xgtE,847
torch/include/torch/csrc/jit/passes/fuse_linear.h,sha256=1N_lvMiWybbdqWYvkRl2tC_DMBAwebqpv4IfASeaM1U,526
torch/include/torch/csrc/jit/passes/fuse_relu.h,sha256=hVpx9P8NMSHI5IlJWKSpNEfyatDQu1nvyD1TjABKxrU,273
torch/include/torch/csrc/jit/passes/graph_fuser.h,sha256=hZJReB5UWGT3aai5bT2Ih63A30_nbIqD3LImf23pg_A,1151
torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h,sha256=5aVUdrSPIY7MqXdBOMyKKvfs4xxJOH4gFxsvY_YHOTU,1799
torch/include/torch/csrc/jit/passes/guard_elimination.h,sha256=2FhtbBI_08AQctCcCpMnKbB1LTnNXx3Cita9z43oljc,390
torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h,sha256=RPdZCCa3I91wwEBruCktQgdtFT_skrNuaHAbVXwRpTI,211
torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h,sha256=H5j-cg-2ky6V-m57XOMhLX0zdBI7w8ANRI2B5Z33kJY,275
torch/include/torch/csrc/jit/passes/inline_fork_wait.h,sha256=REGVjC2nZkSpOcU3VOjTrw6zF_eZwZJxusr29UYQTsk,547
torch/include/torch/csrc/jit/passes/inline_forked_closures.h,sha256=7onwZDOB0yy6gVuOOddO_bAgKJKbdRi1nA-d013n4ZI,241
torch/include/torch/csrc/jit/passes/inliner.h,sha256=LqhyKXyhI4ZrDf3D4S0SBRhdhFGECpYr6Kk7gpg-9dY,199
torch/include/torch/csrc/jit/passes/inplace_check.h,sha256=xijQSXw2abZOHPa_uLlXIvbSpzeK0cVmStxC7ahL04g,168
torch/include/torch/csrc/jit/passes/insert_guards.h,sha256=wXzqKMe00n2gEIyF1_bae7aDAdu4jD7cN5BgZCOnQSc,446
torch/include/torch/csrc/jit/passes/lift_closures.h,sha256=_TB6GFWWc84SljMsi0b_b0A0DPTqRnOU9FYBMZ7MRa4,236
torch/include/torch/csrc/jit/passes/liveness.h,sha256=BfC4W4bjvImsK8xQXoO4_wk-2izQvKz-KA0Kfn332tk,663
torch/include/torch/csrc/jit/passes/loop_unrolling.h,sha256=HXCCzYvgYlh3YSNO8ASYQKTfUmD-aYJpMQyomzIHUkY,787
torch/include/torch/csrc/jit/passes/lower_grad_of.h,sha256=lQlKvI1LTZ5jSQp8VB7SkklnxoSLeTcRRoQQB0Gvt6M,348
torch/include/torch/csrc/jit/passes/lower_graph.h,sha256=HKZxM64wjqRanSbpfLfBJATMpgTDGhFGSZt0pgKu67k,750
torch/include/torch/csrc/jit/passes/lower_tuples.h,sha256=-LvG4dIykeTo4kSbPF5_zFlyBNfoi9vcOCa0gdLTjWs,666
torch/include/torch/csrc/jit/passes/normalize_ops.h,sha256=UzFC-1DGm0p6YciwxZgvn8nAIhmmFzUBgolGNSsohkE,470
torch/include/torch/csrc/jit/passes/onnx.h,sha256=iQKaDB8icjbROjhX8FCxKsc9yQz4OAdBWrL3cWaZLIU,604
torch/include/torch/csrc/jit/passes/pass_manager.h,sha256=2M_w4aIz2XDVXACoCHGtMh3_vRkqa_Xqcx9kNpeUcKs,4553
torch/include/torch/csrc/jit/passes/peephole.h,sha256=JAYCk7UnZbvoWIyxT4y_6EmhqIEXcn2XNp84ipGam60,400
torch/include/torch/csrc/jit/passes/peephole_list_idioms.h,sha256=PM4H4ieVBYgWfwO85yG3ozBYle8BxhD7pAoE6TTnW3g,320
torch/include/torch/csrc/jit/passes/prepack_folding.h,sha256=aQa61BMSpx4GgU6KpCVyC4wLSEVGmM_FDxxnEjkRmyo,358
torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h,sha256=BO4QlaPSdH1I37kIrdUi88CDoLDm3MYaKY-7YjMFNGI,826
torch/include/torch/csrc/jit/passes/quantization/finalize.h,sha256=JazNvtxg_vBNhIrfwIac8qq03BDxxVJ5EiRXPuTb-CA,2200
torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h,sha256=uDbKWQfLMcdtJt4H-1h-V4JCT8mKzKx6cAtxb5FtxkU,191
torch/include/torch/csrc/jit/passes/quantization/helper.h,sha256=WbOisL3vUlLTGTlQGp0uKB0_lyQWOSB5tQvZUYL6TgA,7381
torch/include/torch/csrc/jit/passes/quantization/insert_observers.h,sha256=GMY3wOQhsyVIH74jZmRJT29636zsiE9txUMn8BEMKfY,1417
torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h,sha256=hHbrI1_fyY97k1YuU4XuknxwDwakjwo_fz7YoDwj6t0,1633
torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h,sha256=hhDyjkAvrI8eQbsTyj32PJ1uE5IsmbrqQsg-6fKULyI,51117
torch/include/torch/csrc/jit/passes/quantization/quantization_type.h,sha256=qVWFRlUY7nbBStb4Izgmr39oFuMhcHsurz-RHz-tr1E,334
torch/include/torch/csrc/jit/passes/reconstruct_scopes.h,sha256=t-vktmr7dDvGHMYVOVeP1yeLSDGK9Yq4Jolcb7tBU2o,1333
torch/include/torch/csrc/jit/passes/remove_dropout.h,sha256=aJSfxwDS13gEka6gtqrcZ2EFeX5iRsSNN-hoe7Zq680,218
torch/include/torch/csrc/jit/passes/remove_expands.h,sha256=p1gyyUkdAl8paoIua_hIw7w9gZ6tbIOYYqkMND0ZVZM,175
torch/include/torch/csrc/jit/passes/remove_inplace_ops.h,sha256=_mTMOMlLJpL8MzqEQNRcJoiQqZbAdeud3u1ipOVB18U,233
torch/include/torch/csrc/jit/passes/remove_mutation.h,sha256=o6tuIMlgP-kjBLO_TMbGM6dK-efQr7NkkALiKxnIMmA,2711
torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h,sha256=38Ckt94TgwNUpk1jEpRJqkEfkS9VHa81qMkFfr5DVys,196
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=gWGVIhBk0RRMMagIoEdxWF6zV4jsPytO2iPO-l_dBcs,549
torch/include/torch/csrc/jit/passes/subgraph_rewrite.h,sha256=1OYpcG4OY0JiwiqGAHX3PM1Cv3mSO_8Pp7WtYD_zwq8,3666
torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h,sha256=uH1bF4k07hGV_l1rSr0UaEomubWMXxuiPxI11-7zI9g,1137
torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h,sha256=WNrA8iRJorDUG9Fsq3fVNMcLbJ0x0WuaQx4cSvFaefA,740
torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h,sha256=pZafsHGeDV3cPTfJJubzUe20nGjb8Jsfe_pU7qaEFCY,612
torch/include/torch/csrc/jit/passes/utils/memory_dag.h,sha256=KZ1D0CmO-3-i1h9axIp-jw80_VCTF6CClKXYDd3F47Q,5555
torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h,sha256=hmeSTFzqfN6fcO2hsdt8B_6KdZEkfexPsiXOpfhgm_0,2426
torch/include/torch/csrc/jit/passes/vulkan_rewrite.h,sha256=yne1jejhhaDxj5xvORBpVOQb4N7m6TxGuHedEU2zIn4,576
torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h,sha256=_P2Bflway7Jvo8mQbCmjv-q57ARF-QvepQVPmugg7og,917
torch/include/torch/csrc/jit/python/init.h,sha256=_M2l5u315IKW7GX4W9olYSPicQXaeHwH-dKZCO5axvI,151
torch/include/torch/csrc/jit/python/module_python.h,sha256=tewwYylmoALVRtskk3k0g38JjFVsRoJUnFUUR6aJnik,444
torch/include/torch/csrc/jit/python/pybind.h,sha256=yJ7Wcy-TnKKeeP4Cs2fTLA4UhpqRU6Elj4Mt2lUvTA0,3132
torch/include/torch/csrc/jit/python/pybind_utils.h,sha256=42hm_f7GwUTUx9ws8Ng4PTNxfhoT95IlrawzKOuQwM4,41960
torch/include/torch/csrc/jit/python/python_arg_flatten.h,sha256=7tS8K8AOJwAC_U8zNfhdYY7ougmqO0X0Os0wdEXe1bw,3538
torch/include/torch/csrc/jit/python/python_custom_class.h,sha256=6Cs8p91I42JxKa3nyzN507wl2GKKc6-0mgB8n99LFlg,471
torch/include/torch/csrc/jit/python/python_ir.h,sha256=OGRjdY0gHJEa_wUvoBSBn2jrBBAXVCluzQlzOimzL2A,1718
torch/include/torch/csrc/jit/python/python_ivalue.h,sha256=uQxHogsZmmrOQq-Vbn6-L8QnR92yJcbhegu9MjwKetc,1868
torch/include/torch/csrc/jit/python/python_sugared_value.h,sha256=FmUcvIYxKyg_MTCgwjhNG7KESQCuH29yNkULtV1T7ik,9537
torch/include/torch/csrc/jit/python/python_tracer.h,sha256=QKVPi1QHLPdYoqb6_nmf5V0_RZAZFifalApzWOepJsc,854
torch/include/torch/csrc/jit/python/python_tree_views.h,sha256=PPC8nGS2aelYxgjqCxAWCKmNTj_neQb4uQFk6LL1uno,175
torch/include/torch/csrc/jit/python/script_init.h,sha256=USj2F7aUWMsDv9oHYmknRiwDOUik_vXgzlHCpqNNHcg,177
torch/include/torch/csrc/jit/python/update_graph_executor_opt.h,sha256=vQhpSR2iiMuEODLipFBw8fa9gBUB_DImzTRBkko8Nic,224
torch/include/torch/csrc/jit/resource_guard.h,sha256=Pjz9gIeIPod_GIRC20vKqvWDaAWkupl59PvMm51Ox8o,429
torch/include/torch/csrc/jit/runtime/argument_spec.h,sha256=CygBCZ2H3uzDz2CwnD5XGz7rIWwEWfmmKc64nqc1BfU,15592
torch/include/torch/csrc/jit/runtime/autodiff.h,sha256=wtzsF8mrit6f4xBR9hiVGYE2nZjdbSqJGPkiPp0jZ2w,3987
torch/include/torch/csrc/jit/runtime/custom_operator.h,sha256=_qFcyQ2Of6g1TxNOvJIuXpKfsFIcOwxlFuigtdfLQmc,1070
torch/include/torch/csrc/jit/runtime/exception_message.h,sha256=b1h9FzsD7bekCVZj3jYX0jY84NWYYlQ1JoNDUqoiabk,639
torch/include/torch/csrc/jit/runtime/graph_executor.h,sha256=KMgEXV-UT_G7NcrJmXfJdMuDfV0sPykdtPZj9Iln2QA,4138
torch/include/torch/csrc/jit/runtime/graph_executor_impl.h,sha256=yKuhZSKSXc__PDgkX_VQ_Z8XnTMFJAob_3vupVaA0qg,3300
torch/include/torch/csrc/jit/runtime/instruction.h,sha256=OdM1bZ_MFU8f-ibsDS9YW7XGMxK2Vtzp_xsaDFkTm4o,3894
torch/include/torch/csrc/jit/runtime/interpreter.h,sha256=U7RellsGfYxt3HM4yGfWLAn93DrL2-QnhxeUnZucw50,4020
torch/include/torch/csrc/jit/runtime/jit_exception.h,sha256=6QhhY8CjqlRx1fKv4wFe1rLM5-pZYCXcop739VaQhgw,270
torch/include/torch/csrc/jit/runtime/logging.h,sha256=z4zvRAi63T10RyKq2LmfqjTXPbqRbQE4MhFccLt8ei8,2565
torch/include/torch/csrc/jit/runtime/operator.h,sha256=sTju6eWHD7Kp-0wGTxMpKn0gjqTfFixy-xhTJEwuunk,9147
torch/include/torch/csrc/jit/runtime/operator_options.h,sha256=MIdeHgKXa5FmhR6I7WbTRbvA5OtnJxviql_BZ5XPysM,189
torch/include/torch/csrc/jit/runtime/print_handler.h,sha256=cg2cbXvaGwglO5qaoFe8StEMTPvfobzinvivi5ehqbQ,340
torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h,sha256=ybRWphUzBV5CSGoP8EdetHN6tAy6lx0S8NXjfvezsfQ,1628
torch/include/torch/csrc/jit/runtime/profiling_record.h,sha256=d03995L_I8M9D8iG7ZRXvXYlsnkCQ3_odojx8aAWTPo,8971
torch/include/torch/csrc/jit/runtime/register_ops_utils.h,sha256=RYEDFk42EnXSZTXQc52tPrDOyyMczcJQEvlhfsCgga8,25800
torch/include/torch/csrc/jit/runtime/symbolic_script.h,sha256=i9bNX0eEYDhj0BQbUxk3o57op6HiI7TjAlyYYZH3vLc,598
torch/include/torch/csrc/jit/runtime/vararg_functions.h,sha256=OXAdHNJOlGqeWW2cb6qIg3j_zNbqEiaRL2Ul09ssprE,862
torch/include/torch/csrc/jit/runtime/variable_tensor_list.h,sha256=QFlToAFx8imJdLPtK212uUP13_PoQ5nwdelUOVmRvLI,545
torch/include/torch/csrc/jit/serialization/export.h,sha256=xHoMSVIcEt5ttzwqBtOPDqme8LdOOSBnNNNSjsVb-Y8,4219
torch/include/torch/csrc/jit/serialization/import.h,sha256=Mi9CBoRfAHL4aUimX45kW2aS2g-i4kojPsG76kaKiD4,2578
torch/include/torch/csrc/jit/serialization/import_export_constants.h,sha256=Arkvq5i_YuJIdmwSaprmAL18tNS9XB17m23Vk0GfKec,377
torch/include/torch/csrc/jit/serialization/import_export_functions.h,sha256=NSjaLaWS4xLguZ1aKVlMX-yFqxzS5YVITEL0PTY-uS4,417
torch/include/torch/csrc/jit/serialization/import_export_helpers.h,sha256=AkAKNlNXoEd0uwK4NlgJ45OQ1yycbxppvdYL5Bkj_p4,709
torch/include/torch/csrc/jit/serialization/import_legacy.h,sha256=ibfVau0MRa0xAWZwHYdrFMerU3nNBIesUCOz0RVrIrk,496
torch/include/torch/csrc/jit/serialization/import_source.h,sha256=0019B_-ekjIXDByvMB-4McptpEyaviP0cvOPqKfS6XQ,1187
torch/include/torch/csrc/jit/serialization/onnx.h,sha256=MACgWo0l7D149IqzgTV-Maw_--5a9Kx2uqEgFqxuuqc,229
torch/include/torch/csrc/jit/serialization/pickle.h,sha256=a6PAbrVzTo61rK34qqTn67DQxbu6F8L33Gz6EyLWPJk,3071
torch/include/torch/csrc/jit/serialization/pickler.h,sha256=EAJ3WOg75G1CJER7o2R2KA9I1ftHO7OwwFkYzfFRvSw,7898
torch/include/torch/csrc/jit/serialization/python_print.h,sha256=vJlN-L9PlgSi0qDE5NxohSmdODa67yXBtBgmfGkL4SU,1180
torch/include/torch/csrc/jit/serialization/source_range_serialization.h,sha256=DGj4HOeCiDtiuYxoBAkLKY6eppN26u6xTKqjf4E3Hh8,694
torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h,sha256=dU68c9Z2uo1G18r-G5rV0o__iWoysvWldQ0T9V5s5s4,684
torch/include/torch/csrc/jit/serialization/type_name_uniquer.h,sha256=Iw47XHz7lPkgC9K5dUolB51xJ24SCWQ362jKGukbUKs,779
torch/include/torch/csrc/jit/serialization/unpickler.h,sha256=GhThXBkFsv98VIT6PWPUfIJT77LKCdQA7Imo3XvtZps,5506
torch/include/torch/csrc/jit/testing/file_check.h,sha256=vS98tjp6zAY-gJZW8sJeJS0_DKtJJ4RngX8fVkoL81E,2421
torch/include/torch/csrc/jit/testing/hooks_for_testing.h,sha256=CEGFv6EplFRMg9XkAbw-VrjNwid7g8osnY4aJQUJq4I,617
torch/include/torch/csrc/onnx/init.h,sha256=LvPEZNWUTUQybEJBqdvQMK0mw7t6wV61tuoyybldDV4,158
torch/include/torch/csrc/onnx/onnx.h,sha256=4f4h_dAqN7wmp7Z_VfLSTdbKTpevbGg9WAgXpSV7Y2g,757
torch/include/torch/csrc/python_dimname.h,sha256=jonWGSNHt00X_g9aN8CudGW2fKpL2f9yKzGUe9Ct73A,215
torch/include/torch/csrc/python_headers.h,sha256=4CExqe4VK5TuzrT-v-KI5CVeDYtdORqlrEeOcyZ5Y_0,487
torch/include/torch/csrc/serialization.h,sha256=PhjR2qd8w1l9hm1u3ao7V_oTn5NocV9HTeKQikAMUIQ,709
torch/include/torch/csrc/utils.h,sha256=afabwwkmkNAFY6DZ5wP1geoXBC6CHK2mDxPtahcLATo,9792
torch/include/torch/csrc/utils/auto_gil.h,sha256=rIsRF7_gbeNkmX8eC5Um0cxDtCz_StL6XkspMAMYq5Q,1034
torch/include/torch/csrc/utils/byte_order.h,sha256=JIQG9WFDvB5okrcedLSS8bgOOg750x778TGYZeokKg0,2484
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/disable_torch_function.h,sha256=46cJ-HGTZ-0hs5SmKSrf282fRh6H4xZcYH-1_OTFqKU,575
torch/include/torch/csrc/utils/disallow_copy.h,sha256=LkZc_EqcX_UrXj_Pi2woqJLDYnF9Fi_dHAj5QHAqidE,103
torch/include/torch/csrc/utils/future.h,sha256=1ZoiugMMKKMjL3H4I2cX94I_SRqzJiPxm72ZOVtFoFw,5222
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=nsDRGejq3wXa2qKLG0nT46H6xW-qnCfnYx3Q5GeDrbg,2900
torch/include/torch/csrc/utils/python_arg_parser.h,sha256=uWxn4H03FokVhHoilyA3HarTSt1QbcPsSJ7BEdd7N3o,28899
torch/include/torch/csrc/utils/python_compat.h,sha256=Hat4rOxMlUuKGwI7RQ1k2m1MYnKHHuhtMpOvZPLXQoo,2644
torch/include/torch/csrc/utils/python_dispatch.h,sha256=RNxTXzFLKVGir_9X5DA8MwK-NilSNdMKBHxVa2mYQto,174
torch/include/torch/csrc/utils/python_numbers.h,sha256=v1N2uxzCuYdHa3yzD_joEYoRSEdsJnr0M8OwG_p3dNg,3891
torch/include/torch/csrc/utils/python_scalars.h,sha256=IcZNxRS1-JsSY2b6eCVQZqc5DsQUOZL-MtAkj5WKwtE,2922
torch/include/torch/csrc/utils/python_strings.h,sha256=Wfi6jD5QLIaapLThUh8H9QKfuK87aPCJ8VK2Ka6-GEY,1764
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=UsIo0St0lyuQqkp-cxXiopPlDKXoj_Vn90fSTLJC2x4,153
torch/include/torch/csrc/utils/tensor_apply.h,sha256=W4rKidZIQMWa5UZ6BGtNpd3E6nw9HTCpBOcJKuviplM,395
torch/include/torch/csrc/utils/tensor_dtypes.h,sha256=CCN3IGF7XAPnKckRw4dgS5Q8xTPZsROq_JFHge9RR5E,244
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=XZCHMF-63CaPjY939xozQ_snAzc6jMDPeTVzh65sXZ0,1414
torch/include/torch/csrc/utils/tensor_numpy.h,sha256=zDQJLnWfIZmZQemHerVm7pSgUUWa45yR0sMuom2gCsI,482
torch/include/torch/csrc/utils/tensor_qschemes.h,sha256=HsWQ2YhW5TFYJubL6G7IW7gJ3s9PASwT9jOvwLsQjrQ,186
torch/include/torch/csrc/utils/tensor_types.h,sha256=LBcYHR6QixqcYDDAWkibAYYayDkCDl2SJK7BtHAXn7g,491
torch/include/torch/csrc/utils/throughput_benchmark-inl.h,sha256=sJrf73qE4lfhMLCm_xyxPYkSfFkpsNI18jo1gpzMhQg,4910
torch/include/torch/csrc/utils/throughput_benchmark.h,sha256=uo51GwSjf8dHNdqfn4Gcms7LBA_m_m_ONYFCPi31gEU,6823
torch/include/torch/csrc/utils/variadic.h,sha256=wJNiKFvdPsrlqfPyYmipdIq4jhSSRaB1r-7zDMaKZRY,4229
torch/include/torch/custom_class.h,sha256=R__u3XOVJQBoLiWwkktdyT345MRJzMM39qvCyAu3MrI,12855
torch/include/torch/custom_class_detail.h,sha256=dJdHqWmTbFxYIYLTAvW_KNcN_GfOF2VmMvSBagKd5IA,5185
torch/include/torch/extension.h,sha256=U2lS6iwjvKhbLwnVco4KOJuB8FlmXYoqV9mymY9-EiI,170
torch/include/torch/library.h,sha256=DmnMHvni6WrkSOAw7d0SWY8_WBGlBDVdyjigcF-Lrls,29747
torch/include/torch/script.h,sha256=tKiPuijsW2e-JMAWAbIhGLY-HgevUXIh9VKfOZAd71U,422
torch/jit/__init__.py,sha256=Gk229EDq3n5LvSdLvY_vA2Ls5mroW7QQlJVsIvj1A60,1584
torch/jit/__pycache__/__init__.cpython-37.pyc,,
torch/jit/__pycache__/_async.cpython-37.pyc,,
torch/jit/__pycache__/_builtins.cpython-37.pyc,,
torch/jit/__pycache__/_freeze.cpython-37.pyc,,
torch/jit/__pycache__/_fuser.cpython-37.pyc,,
torch/jit/__pycache__/_logging.cpython-37.pyc,,
torch/jit/__pycache__/_pickle.cpython-37.pyc,,
torch/jit/__pycache__/_recursive.cpython-37.pyc,,
torch/jit/__pycache__/_script.cpython-37.pyc,,
torch/jit/__pycache__/_serialization.cpython-37.pyc,,
torch/jit/__pycache__/_state.cpython-37.pyc,,
torch/jit/__pycache__/_trace.cpython-37.pyc,,
torch/jit/__pycache__/annotations.cpython-37.pyc,,
torch/jit/__pycache__/frontend.cpython-37.pyc,,
torch/jit/__pycache__/quantized.cpython-37.pyc,,
torch/jit/__pycache__/supported_ops.cpython-37.pyc,,
torch/jit/__pycache__/unsupported_tensor_ops.cpython-37.pyc,,
torch/jit/_async.py,sha256=IN7ARBDzaNI7hJP45zFTHtT9iVBuTA0rN4zTB8nCsuQ,3767
torch/jit/_builtins.py,sha256=vPwQnmcrrDtz2GLtDetv-LCkm65SgnL4zO-9MY6FbP0,5455
torch/jit/_freeze.py,sha256=7Sn8iA5ToTju1YMeq67zYZq2AII2HJ-gDFWlLcPBi0w,3965
torch/jit/_fuser.py,sha256=LlZ7WgCO2ym1fzANXzEXPCHQLapY-VDelyjKB7o8ga8,2577
torch/jit/_logging.py,sha256=AXSPcmOG3GZFileVv9IeUES0wb5kjDTYzzsy5fCyj4E,256
torch/jit/_pickle.py,sha256=N7iGMNeZBMGU1g7x5SkNZbgPM09ELxKJKNBG3z7VWPY,954
torch/jit/_recursive.py,sha256=ZnXmb_arMXcuaiqVRMIRupQ83CFOOFjcao_hO8lxUqw,31543
torch/jit/_script.py,sha256=Mv0PvTvNfajyr8_8JFUkN0bOzPCq8JnxmllQgDIhesM,43111
torch/jit/_serialization.py,sha256=GdRdZYuIEMBdEBCyt8VkEn1fYHO0K2fb_Xe7yyslLO4,6232
torch/jit/_state.py,sha256=-g5ODczev20mRMaoXae9PFjBLow4TbX1PvEewI_4JhU,3284
torch/jit/_trace.py,sha256=-M4arncwGwGDHvUlcfGM-53voatejFXKTa7SRhNzZxA,45301
torch/jit/annotations.py,sha256=pEvILATdlY-Th6fAFgC0LiCDKN034qAkSvsBJ8NNYXc,13766
torch/jit/frontend.py,sha256=oMN6hs9mAinltzehzdP0VTaP5IkrFmLR8aUYYjq6HOg,31724
torch/jit/mobile/__init__.py,sha256=G9fuGAGE6V_-sy0vnj92jZ6gNxqv3eg3MG7eKuVWSFU,2126
torch/jit/mobile/__pycache__/__init__.cpython-37.pyc,,
torch/jit/quantized.py,sha256=YKcv-8DBvJe_Uu7rC4mDgC688KJCacjbBOkRxqBLsdU,24047
torch/jit/supported_ops.py,sha256=kwedGMt5sl0K56dvHQAh1S80fnoyM_M17PbLvsABD98,10252
torch/jit/unsupported_tensor_ops.py,sha256=LRKP8we5JOQ8N_irgj7LqDuxefj2Jo71C-96kIDQVGo,1840
torch/lib/libc10.so,sha256=w1ciwbWzFfxd61EsSwvPki34dT_0pli7fs1w6vV6kJc,613840
torch/lib/libcaffe2_detectron_ops.so,sha256=tOdl4cEh-oFVVJYJuz8CVG-_PBURaopvS008_X_xR8I,528392
torch/lib/libcaffe2_module_test_dynamic.so,sha256=VC0JWEBDlZUMN-hZWruxWnGSMtH3tgUh4j7JnVR9fbQ,60352
torch/lib/libcaffe2_observers.so,sha256=FTROm5tOSIolEoxVRlgu39Epqk6cG8j8WOV9gJffRuc,135456
torch/lib/libshm.so,sha256=j-rEF9VuKSU9_ZEs04QZm7o2rVppWiEyaC0IJO6gz2s,55000
torch/lib/libtorch.so,sha256=LcZrib1KfLiQ0nX1J_vYbOvTES19SiJGsqQ9wrFLigQ,15608
torch/lib/libtorch_cpu.so,sha256=en-Rtor-emn8_fOvdlSAItKrka3j3D2k_ncQP81XPOU,100487368
torch/lib/libtorch_global_deps.so,sha256=vR_seGI7WpuIpT6yLNJz4_ZMOezmnqAZlw454fVBgn0,15824
torch/lib/libtorch_python.so,sha256=BWf00v8VGSoLvrM7p9MNgzc1OqKm-XpnNE0VQ91fbTo,15659976
torch/linalg/__init__.py,sha256=IRAEh8Ta6OUUeOuummETUbfJNiMsJWKeheso3xX5Sv8,5053
torch/linalg/__pycache__/__init__.cpython-37.pyc,,
torch/multiprocessing/__init__.py,sha256=BV18fZyAnAfSe7Si8olRQgS8EILG4TQhs_7ooERow1Y,2650
torch/multiprocessing/__pycache__/__init__.cpython-37.pyc,,
torch/multiprocessing/__pycache__/_atfork.cpython-37.pyc,,
torch/multiprocessing/__pycache__/pool.cpython-37.pyc,,
torch/multiprocessing/__pycache__/queue.cpython-37.pyc,,
torch/multiprocessing/__pycache__/reductions.cpython-37.pyc,,
torch/multiprocessing/__pycache__/spawn.cpython-37.pyc,,
torch/multiprocessing/_atfork.py,sha256=Ft9Sz4xGQ4oKVUPW5454GRbb6lAphtGJtde81hRwmz0,793
torch/multiprocessing/pool.py,sha256=9ReupHvT8plEbjKcsJ3FLA_eFmNd6Dwv1k9jn36uzmU,1632
torch/multiprocessing/queue.py,sha256=iviKAtQAIRZhTaVjwUv74drYZR77n161D6r5kBLMiP8,1439
torch/multiprocessing/reductions.py,sha256=0vG0-yuXiLeooJxTJ7-wNfM-35pob-I8LLs5SrhpNGM,14562
torch/multiprocessing/spawn.py,sha256=NVzhdrJGrnou38JOVatUcEPcaz5SAxjQRd94C2ujsdI,7604
torch/nn/__init__.py,sha256=wSv6MOdyt02fLYeRchjLQDY_AV4m7V5fxIooiYDesBw,130
torch/nn/__pycache__/__init__.cpython-37.pyc,,
torch/nn/__pycache__/_reduction.cpython-37.pyc,,
torch/nn/__pycache__/common_types.cpython-37.pyc,,
torch/nn/__pycache__/cpp.cpython-37.pyc,,
torch/nn/__pycache__/functional.cpython-37.pyc,,
torch/nn/__pycache__/grad.cpython-37.pyc,,
torch/nn/__pycache__/init.cpython-37.pyc,,
torch/nn/__pycache__/parameter.cpython-37.pyc,,
torch/nn/_reduction.py,sha256=y93CHCgz76OlQtG21t-v8J1HcvB4hAMyIUzHvJyvr30,1599
torch/nn/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/nn/backends/__pycache__/__init__.cpython-37.pyc,,
torch/nn/backends/__pycache__/thnn.cpython-37.pyc,,
torch/nn/backends/thnn.py,sha256=nE2JB9uT5tlHv6ImI20PbJINVIUTBAx7Vl_WZLHgk-E,118
torch/nn/common_types.py,sha256=OyXbfiqOg-xR3n26UCT3Io2is0T7qXLblNWwKfvlZl8,1582
torch/nn/cpp.py,sha256=pWtfEt_2mXuOL4kb7p8TTUVz6aw75VuSbCGu2zMjzn4,2826
torch/nn/functional.py,sha256=81eZfT-wJ-InninoqBKG1uGxgMT51-A_uUenBeEtSYA,198792
torch/nn/functional.pyi,sha256=8Yf7pupITiWsmehAmlPaq5fN4UpUAWE1sKYKrJWZk9Y,16937
torch/nn/grad.py,sha256=VzW4xwg7Qp6T3LgHtJmCSn1jaVHPe6TszCDZFkodWKo,13980
torch/nn/init.py,sha256=0rx2rQ1dQkhIvWZNoWzJDCM05j8005VZvTabFYwcpAE,18194
torch/nn/intrinsic/__init__.py,sha256=01YaldapzKekK8_W_OD3UdqgTbKFVbuB8tyBeTO74GA,608
torch/nn/intrinsic/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/modules/__init__.py,sha256=M-67FWYGlbHzMtTC3EJ6Mfq03u32171xbIQJbMfNbkY,585
torch/nn/intrinsic/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/modules/__pycache__/fused.cpython-37.pyc,,
torch/nn/intrinsic/modules/fused.py,sha256=l-nIwK0QIWg0yTaQc3XqAi9nbOeBHujYurO--Lv9zd8,5884
torch/nn/intrinsic/qat/__init__.py,sha256=djgq9LKh9EFyNm-Sr16sDS8JxyL-8dy4iikWyraLmFQ,314
torch/nn/intrinsic/qat/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/qat/modules/__init__.py,sha256=Cot3o54bUzZiuEOvT1im49qlZp6-8TFfQgvUmz2l-Ig,262
torch/nn/intrinsic/qat/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/qat/modules/__pycache__/conv_fused.cpython-37.pyc,,
torch/nn/intrinsic/qat/modules/__pycache__/linear_relu.cpython-37.pyc,,
torch/nn/intrinsic/qat/modules/conv_fused.py,sha256=mTDcIJ9ZzNDYw-ziOwopa1zv2DpQ0ysQqOulXCNnIFc,12470
torch/nn/intrinsic/qat/modules/linear_relu.py,sha256=diPqMCD51hCnZ8IhkBVoLRiPaEVob2ukRFsqS9MFU1s,1156
torch/nn/intrinsic/quantized/__init__.py,sha256=CH0Ych3sWsvr4y41bHCir_mHNISvLvP3Q5P07aZysXk,247
torch/nn/intrinsic/quantized/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/quantized/modules/__init__.py,sha256=F-A1emZwo2rVLopveb8teCvYgd-lrUYeSuBIZfjdHEY,254
torch/nn/intrinsic/quantized/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/intrinsic/quantized/modules/__pycache__/bn_relu.cpython-37.pyc,,
torch/nn/intrinsic/quantized/modules/__pycache__/conv_relu.cpython-37.pyc,,
torch/nn/intrinsic/quantized/modules/__pycache__/linear_relu.cpython-37.pyc,,
torch/nn/intrinsic/quantized/modules/bn_relu.py,sha256=l4U85MUDI_dmKiSKVFFUBYRjGPK3h-78I5CZv59n95k,2320
torch/nn/intrinsic/quantized/modules/conv_relu.py,sha256=3gfd2LgmIzTUczEgJpJhZo7JAKyoPyewb08jNL4ds88,4161
torch/nn/intrinsic/quantized/modules/linear_relu.py,sha256=dO2oNak38zVwL5wQW00BUKSRL2yyT3OJB5g_5tnnU4c,1104
torch/nn/modules/__init__.py,sha256=5JWgawGdO3LBcBhctImEa8rTEE7Xb8CtxjKqQUMR-dA,4440
torch/nn/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/modules/__pycache__/_functions.cpython-37.pyc,,
torch/nn/modules/__pycache__/activation.cpython-37.pyc,,
torch/nn/modules/__pycache__/adaptive.cpython-37.pyc,,
torch/nn/modules/__pycache__/batchnorm.cpython-37.pyc,,
torch/nn/modules/__pycache__/channelshuffle.cpython-37.pyc,,
torch/nn/modules/__pycache__/container.cpython-37.pyc,,
torch/nn/modules/__pycache__/conv.cpython-37.pyc,,
torch/nn/modules/__pycache__/distance.cpython-37.pyc,,
torch/nn/modules/__pycache__/dropout.cpython-37.pyc,,
torch/nn/modules/__pycache__/flatten.cpython-37.pyc,,
torch/nn/modules/__pycache__/fold.cpython-37.pyc,,
torch/nn/modules/__pycache__/instancenorm.cpython-37.pyc,,
torch/nn/modules/__pycache__/linear.cpython-37.pyc,,
torch/nn/modules/__pycache__/loss.cpython-37.pyc,,
torch/nn/modules/__pycache__/module.cpython-37.pyc,,
torch/nn/modules/__pycache__/normalization.cpython-37.pyc,,
torch/nn/modules/__pycache__/padding.cpython-37.pyc,,
torch/nn/modules/__pycache__/pixelshuffle.cpython-37.pyc,,
torch/nn/modules/__pycache__/pooling.cpython-37.pyc,,
torch/nn/modules/__pycache__/rnn.cpython-37.pyc,,
torch/nn/modules/__pycache__/sparse.cpython-37.pyc,,
torch/nn/modules/__pycache__/transformer.cpython-37.pyc,,
torch/nn/modules/__pycache__/upsampling.cpython-37.pyc,,
torch/nn/modules/__pycache__/utils.cpython-37.pyc,,
torch/nn/modules/_functions.py,sha256=zz2t3S_diC8e-AyufGgoCFa-bwvXVyv4g3Isw8Uxnvk,7240
torch/nn/modules/activation.py,sha256=DwtOMllg1gDgx_Raso1ynoTlXjpARycK151fO2eb9-4,39720
torch/nn/modules/adaptive.py,sha256=giA_LvjUlFZLaTmTbQV52SMdaDaDcvpdhXLjNuJ_7mo,10984
torch/nn/modules/batchnorm.py,sha256=-3n4eWxfnhMcSCu5R3pOqJbxBL6ht50iP747oYHbRoI,27239
torch/nn/modules/channelshuffle.py,sha256=4wbga7dHh4jUAe1UZvCGK0S7WuyKb64b-UOaJScTz0A,1215
torch/nn/modules/container.py,sha256=Ci78kj5t027QWJfw0jPR6NrZSihjwYIpiDN9F7mbL0Q,23812
torch/nn/modules/conv.py,sha256=9-tjlF1voCCcaXnpqUQEl2xIdzCUA4V5PgivCgCcSnA,52528
torch/nn/modules/distance.py,sha256=Jdj0NPTUnADPbrv3dFGItDVRXKDDLKEmsLBL4oZ72sg,2660
torch/nn/modules/dropout.py,sha256=RD41wP4srN4rga5kOY2xKXt_Mb5rMgJBBPYilA_FRRU,8816
torch/nn/modules/flatten.py,sha256=76mRwCvNKgbnxwY4ws93ZvU83Pf74sTjAGd8q8IF2hA,4861
torch/nn/modules/fold.py,sha256=nVooyKAO48ljMXXGOacypkkEoaPPv8t3SOEvH3rt_4w,12543
torch/nn/modules/instancenorm.py,sha256=MHK7sWdUvmrraWNOGIEomBJ1hnFklXzQyQUbb69pSAI,13329
torch/nn/modules/linear.py,sha256=WAvkYkytaMMzha83iY5X-EeaaCnYYouqETcKxKL0LMQ,6733
torch/nn/modules/loss.py,sha256=mixKeKB7ZoBIYwaQeBQfDnOYbNjvrA5QF6uq-CMGEbo,77224
torch/nn/modules/module.py,sha256=SstG1uRBf0I8_D3zkY0izhoTgPWzKrYPlVZnSY8Z6ZI,58081
torch/nn/modules/normalization.py,sha256=NtgD44QtdsLCp_Zu4jCe_VHLxYU9XllcScKDRm_EkLU,9539
torch/nn/modules/padding.py,sha256=FcMLmUzvrrYJJxGA9tKVJ_hvQVsafSMjOvwObgxUCrk,16582
torch/nn/modules/pixelshuffle.py,sha256=W3NaukX0vZu_5pwnxJ7ojY0DEYT_oNJP3ts7W2WBDjM,1725
torch/nn/modules/pooling.py,sha256=n4rrPStxOqWcJXM5jfVcKH95ddZcDJnovb3kk20TuJg,48077
torch/nn/modules/rnn.py,sha256=l-2sh-1IVkcvZe3a6KGP7c_Sgf6kCDKg4QbAsyPkkso,48317
torch/nn/modules/sparse.py,sha256=T4Al0iT6EpD7Gg4yTBz53I4WHoSUA0rx9yhLxKrJG50,17818
torch/nn/modules/transformer.py,sha256=5ngQsQLJGkLQka7kJ_JKF0pVH3e_Sms7ckIt_L4KUYY,17732
torch/nn/modules/upsampling.py,sha256=lvMSZBKNQJqxbyDca4yci0eYfE4zRDJbYag6aY7LJRc,10084
torch/nn/modules/utils.py,sha256=oA5r97FVm2RV7vodeIrhkRyLJuye0BuFfhUQLuRM8aI,1000
torch/nn/parallel/__init__.py,sha256=gWwfsEeOXMaJ78fTbP3E0_-x1t59JrbZxxKMdU8CrMs,645
torch/nn/parallel/__init__.pyi,sha256=y0VCaWJeNtKuruk2JU3xriC0XOx9l6IvOUPoelC-BQo,336
torch/nn/parallel/__pycache__/__init__.cpython-37.pyc,,
torch/nn/parallel/__pycache__/_functions.cpython-37.pyc,,
torch/nn/parallel/__pycache__/comm.cpython-37.pyc,,
torch/nn/parallel/__pycache__/data_parallel.cpython-37.pyc,,
torch/nn/parallel/__pycache__/distributed.cpython-37.pyc,,
torch/nn/parallel/__pycache__/parallel_apply.cpython-37.pyc,,
torch/nn/parallel/__pycache__/replicate.cpython-37.pyc,,
torch/nn/parallel/__pycache__/scatter_gather.cpython-37.pyc,,
torch/nn/parallel/_functions.py,sha256=AnXwkQ5Tm7c7tFeCtGRv8ZS4ZsicSGZvgEAFyRpNxb4,4530
torch/nn/parallel/comm.py,sha256=qxWP4JFZqnfLSwgFN2BBTSD9fDbZj3AjYFpXlZJeU8I,10587
torch/nn/parallel/common_types.pyi,sha256=dtjbpgyeXPzblfpxEGJLCCQC4anQoKjCLLEKjzlQGsQ,123
torch/nn/parallel/data_parallel.py,sha256=D59Nyr7V97IwQ6XQh3ma9Pb6jsRok8iFBorqUa1d5zo,9597
torch/nn/parallel/data_parallel.pyi,sha256=54Ls--TDaH9i6Y7QVVuFcOw9MSylRQRbjqrbnmEzSVI,717
torch/nn/parallel/distributed.py,sha256=znyp5bfUPyFSe0Tgeui5_GrMP2cbFi-d_6e47xxcrCI,51939
torch/nn/parallel/distributed.pyi,sha256=JrTVs_9PurScATaqQ_q8M5KUPVjryQCkLVlyXW73jHw,860
torch/nn/parallel/parallel_apply.py,sha256=o2c8-yMItzsoMRtEcRwBSl15530Mus0B7Q14mupTjfs,3227
torch/nn/parallel/parallel_apply.pyi,sha256=QD6JobHCMZ3A-e7ipZAXWMnMTFbmDNW5mU18LFi4Edw,293
torch/nn/parallel/replicate.py,sha256=fpl-EKWy-Cvnfxr49XK6COd-e140gmvJnpsqhFWXwgI,6066
torch/nn/parallel/replicate.pyi,sha256=iikTrk-0AoJ8d_i-j8Ve1KcdOTPES-TNdOcoDD7ZBMc,245
torch/nn/parallel/scatter_gather.py,sha256=tp9VbP0sZxYNNzDCMdG7bSbq-dzH1pEo9cSAr4Z5Uh0,2690
torch/nn/parallel/scatter_gather.pyi,sha256=GP3v7_dIX2E3Fqx33BdxC-efwIMAhjgXGAGibWh_izs,1006
torch/nn/parameter.py,sha256=vDpg4ll5lQf-1wLQYgB1tENEC1czOMal6I59A2LiVOs,1817
torch/nn/parameter.pyi,sha256=h9Ii6C5_1RXAeocmR_cPLD5nozcaTnhp3tIcLE78E-4,153
torch/nn/qat/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/qat/__pycache__/__init__.cpython-37.pyc,,
torch/nn/qat/modules/__init__.py,sha256=C0Dl2pCQ_9x-9X-Wk9SbINOfp88ffxz4nRSze9xlQr4,96
torch/nn/qat/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/qat/modules/__pycache__/conv.cpython-37.pyc,,
torch/nn/qat/modules/__pycache__/linear.cpython-37.pyc,,
torch/nn/qat/modules/conv.py,sha256=9j8xVZAO-eoO21u_syK6SUT3sXloau4jvZDumFsRO_4,2317
torch/nn/qat/modules/linear.py,sha256=_oDuAxu_teigZjHpv2hFNdbcYW1maAgLYOHO_WZErJ8,1853
torch/nn/quantized/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantized/__pycache__/__init__.cpython-37.pyc,,
torch/nn/quantized/__pycache__/functional.cpython-37.pyc,,
torch/nn/quantized/dynamic/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantized/dynamic/__pycache__/__init__.cpython-37.pyc,,
torch/nn/quantized/dynamic/modules/__init__.py,sha256=uZfgEkv5Jfa7_YxX2hm-rXVKwUvjV51GYs4tzyOZzco,165
torch/nn/quantized/dynamic/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/quantized/dynamic/modules/__pycache__/linear.cpython-37.pyc,,
torch/nn/quantized/dynamic/modules/__pycache__/rnn.cpython-37.pyc,,
torch/nn/quantized/dynamic/modules/linear.py,sha256=0ajSBAc9rDGCq8xT31E_Un6kfwyzVd8cA__Umma0on0,5005
torch/nn/quantized/dynamic/modules/rnn.py,sha256=4TDcLTxbgC9CdCIkWXKjblx8TxC7-Wpn4Fxg5KAPPgM,32263
torch/nn/quantized/functional.py,sha256=SsdyB3-Acj0l7tSiiCSbTkZ4z33kmH9fzZXM4LqCNII,29004
torch/nn/quantized/modules/__init__.py,sha256=636srWMnfIPiESkUMg4ek7a3nM5XKQznjjuIYQnEp9k,3189
torch/nn/quantized/modules/__pycache__/__init__.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/activation.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/batchnorm.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/conv.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/embedding_ops.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/functional_modules.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/linear.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/normalization.cpython-37.pyc,,
torch/nn/quantized/modules/__pycache__/utils.cpython-37.pyc,,
torch/nn/quantized/modules/activation.py,sha256=N1vG6j8EYd4n6CAc-Gf8ddtY1AQBRqD9zbe2YvTqBSo,3842
torch/nn/quantized/modules/batchnorm.py,sha256=NkQ0TQ9reI4WLUzL-yAH-BruDljqGXXKqDM-6qosuHU,2612
torch/nn/quantized/modules/conv.py,sha256=U827nwKZIVoME6_DGnJ5vGR_dTdGLZy5SpO7WioC19c,27419
torch/nn/quantized/modules/embedding_ops.py,sha256=dKMTrEfPxhB9VsXXrRlijE5rY6uPonVg5bX1nlI3hJ8,10526
torch/nn/quantized/modules/functional_modules.py,sha256=StY2D3fBbyFPn9g4aQ3V0EP_mPmX3A8LxANs8ud5DLQ,6633
torch/nn/quantized/modules/linear.py,sha256=F5qr4X9Fb1RQ_MZ9R9Ll1q3eNqL2-QAaptn971tDGxs,11047
torch/nn/quantized/modules/normalization.py,sha256=EHDay0flx53wDAA7cNVu17aBvK1YHpiQvH2fl9qJdEI,6537
torch/nn/quantized/modules/utils.py,sha256=4JygYYc0XCGtWhlajzgbU3Y4FAP10WeVjBH7eXQTUIY,2386
torch/nn/utils/__init__.py,sha256=n6DshqWfRqtMLvrhharqSxWX9yWb8ZQlnwVjcnvp748,409
torch/nn/utils/__pycache__/__init__.cpython-37.pyc,,
torch/nn/utils/__pycache__/clip_grad.cpython-37.pyc,,
torch/nn/utils/__pycache__/convert_parameters.cpython-37.pyc,,
torch/nn/utils/__pycache__/fusion.cpython-37.pyc,,
torch/nn/utils/__pycache__/memory_format.cpython-37.pyc,,
torch/nn/utils/__pycache__/prune.cpython-37.pyc,,
torch/nn/utils/__pycache__/rnn.cpython-37.pyc,,
torch/nn/utils/__pycache__/spectral_norm.cpython-37.pyc,,
torch/nn/utils/__pycache__/weight_norm.cpython-37.pyc,,
torch/nn/utils/clip_grad.py,sha256=gQmuGmoFaEtg26qvuD3afSMJzZlGo6b7hLEOUW8nwv4,2908
torch/nn/utils/convert_parameters.py,sha256=FMWtZnO7pSBpwllZpx1Tktj9jj-wFlWLFrzKFn_VyfE,3016
torch/nn/utils/fusion.py,sha256=7GcRS8NFFUXyB4H-bIpXxIQohkD0uQzg7gGOphxUCU4,802
torch/nn/utils/memory_format.py,sha256=ZnlkKpCiPSUybJ5W3J7lL7DYNZ7wC6vFylgEQWsediI,3790
torch/nn/utils/prune.py,sha256=t5-RpXfWzc6HesJKyBe1g9IE__c-h5ns3qSPyDogxII,52641
torch/nn/utils/rnn.py,sha256=ovlKEEGJAhbM-QJdQjz09NbbEWO76by71wucMb7QAcQ,17928
torch/nn/utils/spectral_norm.py,sha256=qH3mWv06MXGClAob03pw5Onpjbo6WWj5ETDyzaaVSg8,13661
torch/nn/utils/weight_norm.py,sha256=XEauDqyNNo-BEAd5lJw7d1HeYuGA2UjkVpunp6w-AwI,4287
torch/onnx/__init__.py,sha256=zgVZvZryqMAiPIQdvi4iTFSBcYjfxsTW7djcy_I-pSM,13996
torch/onnx/__pycache__/__init__.cpython-37.pyc,,
torch/onnx/__pycache__/operators.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_caffe2.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_helper.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset10.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset11.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset12.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset7.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset8.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_opset9.cpython-37.pyc,,
torch/onnx/__pycache__/symbolic_registry.cpython-37.pyc,,
torch/onnx/__pycache__/utils.cpython-37.pyc,,
torch/onnx/operators.py,sha256=8pD4ViX0prvPsOEH6b1lzfZgra_YAuOpLw2zesdIr6o,579
torch/onnx/symbolic_caffe2.py,sha256=Pq64eZ19F2PRqecxoY1DqrtqKVtky-Ao_dpSgr1UEOo,9615
torch/onnx/symbolic_helper.py,sha256=VHbcO5ftE46WZYqUisUebJDJQ_jr4QLpd6D8fHoHJlc,23633
torch/onnx/symbolic_opset10.py,sha256=s0oIWckQpUuDx8gLPG6xbk5_5vCWTdXvpr8vHKvrLCA,12159
torch/onnx/symbolic_opset11.py,sha256=wmLB6KrPY1xxutam3AjBEOx5tn24B3xsIWqElJYoRxA,36255
torch/onnx/symbolic_opset12.py,sha256=iWEpBTdFRgutuSizOsd4b2bhLvrBOb413q0yB5tZzv0,3566
torch/onnx/symbolic_opset7.py,sha256=cQ3ia75gm8bKOoFpCCKZV43uiuY2qdIr_61KcZcqrCI,1817
torch/onnx/symbolic_opset8.py,sha256=qAsEUXCLO8ysTOjh0pgEE4RvEEU-6WmJ_JgzZZulLVc,11179
torch/onnx/symbolic_opset9.py,sha256=QXEkuqGDZq3PVdWe1XMBlukaEW6IRNmp521I67v_oEY,109986
torch/onnx/symbolic_registry.py,sha256=9-oi4LLy5wlAT4Q9P9u6GucJivolB5X5XVVsb-pN2bc,4759
torch/onnx/utils.py,sha256=vH-9iNMDYkzZyLk9AXLqgkBm28HaG57TQBzOhIV0yZU,56079
torch/optim/__init__.py,sha256=gjVWURQ8LxStkwI92UcBqBmX_3yK_Sp2qagZQWG-jRw,764
torch/optim/__init__.pyi,sha256=DLVdV_NNIfBZtnI8tGfiPf87UwQ7pDX5ub_1_9Jd7dc,528
torch/optim/__pycache__/__init__.cpython-37.pyc,,
torch/optim/__pycache__/adadelta.cpython-37.pyc,,
torch/optim/__pycache__/adagrad.cpython-37.pyc,,
torch/optim/__pycache__/adam.cpython-37.pyc,,
torch/optim/__pycache__/adamax.cpython-37.pyc,,
torch/optim/__pycache__/adamw.cpython-37.pyc,,
torch/optim/__pycache__/asgd.cpython-37.pyc,,
torch/optim/__pycache__/functional.cpython-37.pyc,,
torch/optim/__pycache__/lbfgs.cpython-37.pyc,,
torch/optim/__pycache__/lr_scheduler.cpython-37.pyc,,
torch/optim/__pycache__/optimizer.cpython-37.pyc,,
torch/optim/__pycache__/rmsprop.cpython-37.pyc,,
torch/optim/__pycache__/rprop.cpython-37.pyc,,
torch/optim/__pycache__/sgd.cpython-37.pyc,,
torch/optim/__pycache__/sparse_adam.cpython-37.pyc,,
torch/optim/__pycache__/swa_utils.cpython-37.pyc,,
torch/optim/_multi_tensor/__init__.py,sha256=dQoxGGV1vlKi8RbJovgKWfsKnQS529yHtyw6iFYv5Dc,552
torch/optim/_multi_tensor/__pycache__/__init__.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/adadelta.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/adam.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/adamax.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/adamw.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/asgd.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/rmsprop.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/rprop.cpython-37.pyc,,
torch/optim/_multi_tensor/__pycache__/sgd.cpython-37.pyc,,
torch/optim/_multi_tensor/adadelta.py,sha256=Q80M4pqnsIphd2g1y5ImdoqMmrkTEe3TNEHgu3sZyDg,3692
torch/optim/_multi_tensor/adam.py,sha256=Phkymohbigp5KbJbHx6X4wJsJiijsV4H-d8HDk6iG6U,6181
torch/optim/_multi_tensor/adamax.py,sha256=5yeX4Qloa82eO5iIjh4YcbSJWrA07TtJdh_dr9c6ZuY,4127
torch/optim/_multi_tensor/adamw.py,sha256=LZ7YTiEvJYXJOyIVl_DFlwWxJftkBI5a_2EYxtwo6ZM,6095
torch/optim/_multi_tensor/asgd.py,sha256=9rBjQcdaXpPDoWzBrM1REpAg7m60Nn3NwDlbKEgvt9Y,3478
torch/optim/_multi_tensor/rmsprop.py,sha256=yMC2D5ITwHQF5e4kGJCF5taQIa8FQHSSVI_XrNPAZVw,5251
torch/optim/_multi_tensor/rprop.py,sha256=ePltJ5_dTKHCQYA6uGOsyg1E3jpW1Ha-RwIl1ZzcVlU,3509
torch/optim/_multi_tensor/sgd.py,sha256=0zgDsWQaN7OEAOP5ZjCK7C01F2q4SWiWUM5jrGWZgDA,5796
torch/optim/adadelta.py,sha256=FEHcBkQjJz24w8hqwWb6n3klLIbqVpEFjKkeeAC2vhU,3084
torch/optim/adadelta.pyi,sha256=9mvOp6uTew7mcUdYcADv1agjBQ5oZwB3mAphsryR7TM,224
torch/optim/adagrad.py,sha256=4uhPdEVjJG5_UrZwlZtBNgkFBgOlZofES-EMPGfPSWM,3541
torch/optim/adagrad.pyi,sha256=xYRPFTtAUQOFqEf4RIvVotQJuHYbfa33ZGC1mJqLTWU,267
torch/optim/adam.py,sha256=tcpQQ0H_oYo9abcO7EA73f2VJ_G7N8kev47zJ7VrqS4,5005
torch/optim/adam.pyi,sha256=yAFKF9Hl4zjTnM6CaI0JU8xxtzOoRjVuWf_HMNjWR1I,257
torch/optim/adamax.py,sha256=eXBtozKXn2uyBckPqn4jJ66zgz9A2zCfoNkf9KJkidE,3532
torch/optim/adamax.pyi,sha256=7F6G0K5R7WPwtf82gL3FYAoFpBSQWGzh0M7uv1SvsHw,238
torch/optim/adamw.py,sha256=njlnknodVd3aVmJ6VyicMG9ym6z2XhuHsuiWxRhkCPg,5149
torch/optim/adamw.pyi,sha256=dVIt_NLaqDeQ1DKfSY6_hr-aEHc3Z4SOuj5bzb3ie8E,258
torch/optim/asgd.py,sha256=rkLzV1uYfX1Hmyd2lTMB5GIuNHvWOeIdC-iNG8SRywY,3103
torch/optim/asgd.pyi,sha256=LcQHV_JI6IXmLEdkIaaipO8pA3WHwfGV2_ZNaY9Z2Ho,239
torch/optim/functional.py,sha256=2b3Gzc6k9EUqvCFm4WqFL0ofpMAjY9lS2pKO5bLOaAE,3395
torch/optim/lbfgs.py,sha256=mEWUSjK-wAaDXPpDHi6Cki0TTuMj3NO9-95DQXwy7HA,17249
torch/optim/lbfgs.pyi,sha256=E2NhMBof4uXcgeVsw9XpaEkEAePz5g2Ta669o1y0-dc,336
torch/optim/lr_scheduler.py,sha256=PCeFUyw9__LYuvO7VIoj5suvFzGBeRzyHwOi9G0qW7U,55547
torch/optim/lr_scheduler.pyi,sha256=cQCvV05DdGDjnriiqULT9dV-sk-CO7cjIVm6v0j5PpY,2197
torch/optim/optimizer.py,sha256=xDYHqW8Kd5epNcX43sOSd-S6rZ2bgw0QEiYTIzqge9M,10787
torch/optim/optimizer.pyi,sha256=MSQ5q2gWskR_rVR-5KTPL5iMi9BkmpFv0ZJ9DNwUn1Q,662
torch/optim/rmsprop.py,sha256=xwHqSfksHOOR0vgg9E2kSNHatHhRlZFwG0gvWvGUtao,4639
torch/optim/rmsprop.pyi,sha256=AXXOp2x27m1vOqRZ_HNQjd5608jzj746BG2e7ykv3fU,267
torch/optim/rprop.py,sha256=J1wHWJwSLCSbBe5mPi4x8eShlSssc-voKyaQKKwfZMA,2926
torch/optim/rprop.pyi,sha256=lnAN6g94PBkBIfYmt4SVtq4Xg4PaukcQKDpcged10uk,232
torch/optim/sgd.py,sha256=FAiSgg04LTW7XJL_UkyVQTs4PV17YDNJxFBCKUpj6NU,4333
torch/optim/sgd.pyi,sha256=ACEZHhtHmjfPijTeJ5T6t7TVaix5RuDEba-M_k5lpuk,219
torch/optim/sparse_adam.py,sha256=TKLydSJvRY0RXH8GqpjDMdNtaCqgxieDCTwl_W66LBA,5262
torch/optim/sparse_adam.pyi,sha256=lQozpM3zhtH1bxoRKYBp8sy3y4_4V0iT_bxmJ0r4gDo,218
torch/optim/swa_utils.py,sha256=MABCL17p35XqCWfQU-27tMX2mUU__yu9Z3uURfpq-kk,11490
torch/optim/swa_utils.pyi,sha256=5_x2D5BJOZTvI2bq-AO5OBA1p0zlpauXCH1OZ3QxwEw,717
torch/overrides.py,sha256=cre0G_mekSrI4ac4miT1tinb7QHm6k4cLftRCW092Z0,66725
torch/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/quantization/__init__.py,sha256=qa-z1-nw3ftlEjJi-oy-k-vH4_WLEnro1GX0hnMLI1c,2432
torch/quantization/__pycache__/__init__.cpython-37.pyc,,
torch/quantization/__pycache__/_correct_bias.cpython-37.pyc,,
torch/quantization/__pycache__/_equalize.cpython-37.pyc,,
torch/quantization/__pycache__/_learnable_fake_quantize.cpython-37.pyc,,
torch/quantization/__pycache__/_numeric_suite.cpython-37.pyc,,
torch/quantization/__pycache__/custom_module_class_mappings.cpython-37.pyc,,
torch/quantization/__pycache__/default_mappings.cpython-37.pyc,,
torch/quantization/__pycache__/fake_quantize.cpython-37.pyc,,
torch/quantization/__pycache__/fuse_modules.cpython-37.pyc,,
torch/quantization/__pycache__/fuser_method_mappings.cpython-37.pyc,,
torch/quantization/__pycache__/observer.cpython-37.pyc,,
torch/quantization/__pycache__/qconfig.cpython-37.pyc,,
torch/quantization/__pycache__/quant_type.cpython-37.pyc,,
torch/quantization/__pycache__/quantization_mappings.cpython-37.pyc,,
torch/quantization/__pycache__/quantize.cpython-37.pyc,,
torch/quantization/__pycache__/quantize_fx.cpython-37.pyc,,
torch/quantization/__pycache__/quantize_jit.cpython-37.pyc,,
torch/quantization/__pycache__/stubs.cpython-37.pyc,,
torch/quantization/_correct_bias.py,sha256=iukINsD8nJIUAP5Mwfdwvh4DKrr-cCqWERRPdsVxQNE,4974
torch/quantization/_equalize.py,sha256=lfjlZ435v8UD7JKQbTU9c2lSiXoCAx1avZ5GbjjO0L0,5612
torch/quantization/_learnable_fake_quantize.py,sha256=CMrymDlGbwbxnadh9QhIQ5iaOlrxqeuazzEXtQoV7kI,15315
torch/quantization/_numeric_suite.py,sha256=w4iej_dzcVZ6FjbHiqQzYqenvlL9mUYNPfK5EB7m5Hw,16580
torch/quantization/custom_module_class_mappings.py,sha256=1odQhgBTevqdA97G5gfF-VDYu8d4oZx94yUodtVBVR0,3543
torch/quantization/default_mappings.py,sha256=9fmHawgIe7x0Di8lI5Dv312pwaBl-vep7tRD2RPjl-g,3324
torch/quantization/fake_quantize.py,sha256=GeCRpKEEoYSKozyZ3pQl8B_bM04dAaLQVu1CzKBg2HE,9092
torch/quantization/fuse_modules.py,sha256=8i8a5zwxC4L_aqFT0qqd9NhkM0EynfedMfeXerDIEyU,4942
torch/quantization/fuser_method_mappings.py,sha256=zQWbcbEYQivPkuOGnwu8cQate8Y0JpiE8V6nG24W0zg,4059
torch/quantization/fx/__init__.py,sha256=R2WJ9OzRW_ORXAm7tGL8DDLFkkGM4Djfr216NiGQszA,56
torch/quantization/fx/__pycache__/__init__.cpython-37.pyc,,
torch/quantization/fx/__pycache__/fuse.cpython-37.pyc,,
torch/quantization/fx/__pycache__/fusion_patterns.cpython-37.pyc,,
torch/quantization/fx/__pycache__/pattern_utils.cpython-37.pyc,,
torch/quantization/fx/__pycache__/quantization_patterns.cpython-37.pyc,,
torch/quantization/fx/__pycache__/quantize.cpython-37.pyc,,
torch/quantization/fx/__pycache__/utils.cpython-37.pyc,,
torch/quantization/fx/fuse.py,sha256=WTtp_kirYmd6ydTPXjVCOZNW7Pdkl0cL2mZ3MjOh-n8,2219
torch/quantization/fx/fusion_patterns.py,sha256=ubck4nmigugzt4GP-_kTVt4i0T5ewXIYCZ0PrExBWyg,5094
torch/quantization/fx/pattern_utils.py,sha256=S9Sj63BMRNxjLEvSVehHoAuxinOhq-spmTe3y7slEjw,2821
torch/quantization/fx/quantization_patterns.py,sha256=RABKnnm7HO2Ob1nh2GsFX6WR7NZkdS-7lpENMKMqWao,29520
torch/quantization/fx/quantize.py,sha256=azO4VF5S65OXLt5efp_i7LUjq63FfvW1Gbkj-s6-fi4,34563
torch/quantization/fx/utils.py,sha256=C45d81SY7BpoWNan8Y96acQ3fRf6Khq2FRYm6d-996U,5327
torch/quantization/observer.py,sha256=JUzVO2SKRZtFqqlxnIW3FTMKKnrIyLVumK7LEzh5KJU,52776
torch/quantization/qconfig.py,sha256=gteUZVvp-VjHUii51xtBOThWSCR1VZYfhc-AMw_zykc,5654
torch/quantization/quant_type.py,sha256=ojq2ZAp4GFyTmxtsQNrZQWkj6aZ5_sbwglxXShu3sMY,204
torch/quantization/quantization_mappings.py,sha256=pWsN6LaPrDxpqGUfv14B922CtDJTUJ0NA79QB5zCKq8,7306
torch/quantization/quantize.py,sha256=340CGnLPXe7ki3FJLymPls3SwjVLaBuyQLB_78B0mvo,21557
torch/quantization/quantize_fx.py,sha256=YI6JdREx8AJNFticHQWaImfougEqxtdcG6MZPVtzTu0,8357
torch/quantization/quantize_jit.py,sha256=bANIaEWvuFbJcUvgyQrwcqW4hI6y6eM9EN_XgoQuBeE,8123
torch/quantization/stubs.py,sha256=aTeHvugjmaNRzeelTWEZ1IvyV8H3dBZ8eLYLdqqrzdg,1786
torch/quasirandom.py,sha256=2_Q-V8rxOrvygNuNzSvpprRXRJPMreRU2QADez1SjqY,5241
torch/random.py,sha256=ivlxuwKC5T2qXwrIdkdNwdGBc79Uhkd-s4Yab5iEnSM,4635
torch/serialization.py,sha256=jlRjzKbAfZ8cg9VbyRaCYYa-sQ88YMW7EIjThj9djlk,34811
torch/share/cmake/ATen/ATenConfig.cmake,sha256=jJscKRyVVrDAJBWNTB5kEEzLi_42CnCdEabw6EBOw5A,282
torch/share/cmake/Caffe2/Caffe2Config.cmake,sha256=IL3My7vXIDLvHJpOoKJK66CnnVQEm-H9F0njGEKnNss,5185
torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake,sha256=nN-9iTnuzahbClHOha_pQ4yxZy_qF5PiN_wcxy3HbF8,367
torch/share/cmake/Caffe2/Caffe2Targets-release.cmake,sha256=iKIJq_72tvI4qzX7KhU-UIwDgInA3-vlSW3qQcPYyzs,1588
torch/share/cmake/Caffe2/Caffe2Targets.cmake,sha256=m2xs0Du7rSnlaB3Inahw5QT-hX7k6DhD5wEy2lF1T9I,5929
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake,sha256=78mPFyIV7lR9kDJ8vAjJwKUDLpFhbssiLz5tR9CmDxk,525
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake,sha256=Wn9lj5lyCx2qd9gaHlNdoic-pyEVGQbwLoHIxSsyi28,1877
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=XKlvmpfuOKFbtJU28y6D0-J_cPluOt4YUrCEMejKzA8,88575
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=7j0twkC0Su13Sqi9qVROmpIPy3OXx1Q-A_TXwwcCtZs,10985
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=woNNLUF-GbgE0qYfw0uT8U_-jAHFFG0HLmx-HlMvhP0,21376
torch/share/cmake/Caffe2/public/gflags.cmake,sha256=VW92OYXNPffPp1TF2CmdrKHlvM40cOhpOedCh4h1jMw,2621
torch/share/cmake/Caffe2/public/glog.cmake,sha256=EKKFEDPCf1mmAOhmVmELtQbrqljrhAOga1HnVAe07hI,2321
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=weW3OuHBIqIt0KpWRWzAnzSCu-AJ9naUfkjxcvaRl5c,4003
torch/share/cmake/Caffe2/public/threads.cmake,sha256=Wbnh7PtarmVmTrlcU96JYW2_n0cdkM2mLybs5V1GMe8,585
torch/share/cmake/Caffe2/public/utils.cmake,sha256=oTxqH6dLRJj9nPLnUvFQ0rPyQ5MdNmD31yujKzHChBA,13085
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=Agu2T7R8LPHUtHv2zVChtlCcEJIo-bnia7IhBmCD5GM,809
torch/share/cmake/Gloo/GlooTargets.cmake,sha256=Qz0mYEx0GZFjwyglCc-1f1oEO-YepIZl7jiTmEtEv3Y,3400
torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake,sha256=1j68NshJOiylWuAbm17fXOw6NFnJyikEBM736vGsAZA,1287
torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake,sha256=Sx2isX3VpFFH3Igd8bsILL3Wl4F2B2lE5nLhGmCFzPg,3608
torch/share/cmake/Torch/TorchConfig.cmake,sha256=JIemrb0uy4UAsTaz90Ps39if040kEOIzm9S3SZNaeYc,4593
torch/share/cmake/Torch/TorchConfigVersion.cmake,sha256=u-utSM3BU7QrMtQh6v66ZVAlQOZTQEt3-24ENUBvIYE,366
torch/sparse/__init__.py,sha256=9nnItOTVjE4FuPllvwblnuAeT6Ef1wc5p3KYKNvwe_A,7643
torch/sparse/__pycache__/__init__.cpython-37.pyc,,
torch/storage.py,sha256=BI0qFFs7q-kbRzypcCgvNLuV4N-meMDc1IZAgRPaGAY,4702
torch/tensor.py,sha256=65vkiicSB6Xxi6SN-2J9Q_M7C3eE6Pu5X3PTzkji6KU,47128
torch/testing/__init__.py,sha256=JroiNGUmQCEtnbJamG4PNFNDXmNIENVfaaER38uzqmg,14408
torch/testing/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/__pycache__/autocast_test_lists.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_cuda.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_device_type.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_distributed.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_methods_invocations.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_nn.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_quantization.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_quantized.cpython-37.pyc,,
torch/testing/_internal/__pycache__/common_utils.cpython-37.pyc,,
torch/testing/_internal/__pycache__/dist_utils.cpython-37.pyc,,
torch/testing/_internal/__pycache__/expecttest.cpython-37.pyc,,
torch/testing/_internal/__pycache__/hypothesis_utils.cpython-37.pyc,,
torch/testing/_internal/__pycache__/jit_metaprogramming_utils.cpython-37.pyc,,
torch/testing/_internal/__pycache__/jit_utils.cpython-37.pyc,,
torch/testing/_internal/__pycache__/te_utils.cpython-37.pyc,,
torch/testing/_internal/autocast_test_lists.py,sha256=5bGkX43ZYb4Pcx_Gr5GuMX0Q-JPraOd-w3p7EWogFpk,14545
torch/testing/_internal/codegen/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/codegen/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/codegen/__pycache__/random_topo_test.cpython-37.pyc,,
torch/testing/_internal/codegen/random_topo_test.py,sha256=jPl0uFyt2M49KI2UdU465dzPTFQh0l4cYArVzCZ6IlY,16257
torch/testing/_internal/common_cuda.py,sha256=d6pMb23rBZ8d_59u2vaiu1BYJ1147342OlPVBkmqWHI,5535
torch/testing/_internal/common_device_type.py,sha256=G4jhGkNZrzYgr6pym4UER8ZN_70nLMC9oTKX-y_tSEk,32629
torch/testing/_internal/common_distributed.py,sha256=U4JC4jMQrKIphncOkb7RbL3NSvsj3mYjZGjTHdcG7Yw,16534
torch/testing/_internal/common_methods_invocations.py,sha256=7al8GX9wjhZQq_vSwQtI7EcGsJhnX8og1EcrEEV2LnY,94121
torch/testing/_internal/common_nn.py,sha256=v2t38ykxGsI2eFJ5ywSX7MDQofewlex1a3ajc5PEOkY,209730
torch/testing/_internal/common_quantization.py,sha256=tu20L0FhI_D9hOtefzKi4kEa-FzkZ-xxUc6HGvfl6ck,52786
torch/testing/_internal/common_quantized.py,sha256=Qnhw-1okeHdm-VMG7uZJyHzfyxnQD4BP-7vMvSfiycQ,4787
torch/testing/_internal/common_utils.py,sha256=1KoNqe6Qh-ZdFZ5SCumM7CEYBwT66RoScijtCArVmyM,73761
torch/testing/_internal/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/data/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/data/__pycache__/network1.cpython-37.pyc,,
torch/testing/_internal/data/__pycache__/network2.cpython-37.pyc,,
torch/testing/_internal/data/network1.py,sha256=6DYN58kBBV2EzO3ChJG2MWWQUfzS7-wigEwMIes-Yac,138
torch/testing/_internal/data/network2.py,sha256=ekGlPqzuRrycLuxj9Hdig4KOg_nxnZb3rohdp9SkNcY,168
torch/testing/_internal/dist_utils.py,sha256=jQbakkdiAr2VNPkb7KRJdCx3UTMmOTZF7cqEiLZe4nM,7645
torch/testing/_internal/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/distributed/__pycache__/ddp_under_dist_autograd_test.cpython-37.pyc,,
torch/testing/_internal/distributed/__pycache__/distributed_test.cpython-37.pyc,,
torch/testing/_internal/distributed/__pycache__/rpc_utils.cpython-37.pyc,,
torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py,sha256=S5-krJYOaGLHXWUaJDjPcYfee7iWlpo5D7KXulEe6W4,26150
torch/testing/_internal/distributed/distributed_test.py,sha256=9ptXepjE2hhhqbtPVW-KnojV0jWoHAi2yDOC1LwHbXc,135975
torch/testing/_internal/distributed/nn/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/nn/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/nn/api/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/distributed/nn/api/__pycache__/remote_module_test.cpython-37.pyc,,
torch/testing/_internal/distributed/nn/api/remote_module_test.py,sha256=nra4BStAp2pMIQxHwWWJwtPNagghNXyKanuk33vcGkg,16038
torch/testing/_internal/distributed/rpc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/rpc/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/dist_autograd_test.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/dist_optimizer_test.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/faulty_rpc_agent_test_fixture.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/process_group_agent_test_fixture.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/rpc_agent_test_fixture.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/rpc_test.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/__pycache__/tensorpipe_rpc_agent_test_fixture.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/dist_autograd_test.py,sha256=8P68oWj0gNJ6wSqZ7jE5g-2JfN7atoIDZjGHVSy3WQM,89755
torch/testing/_internal/distributed/rpc/dist_optimizer_test.py,sha256=p8L1DgMx7dDlYw5FYs9KZsgdSeaypb5s7oyQn4De6i4,9606
torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py,sha256=ODXASZD5jhcJ2BaWb8VHSXTiGJYVBbPgLO-1nGqaJEA,2348
torch/testing/_internal/distributed/rpc/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/rpc/jit/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/jit/__pycache__/dist_autograd_test.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/jit/__pycache__/rpc_test.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/jit/__pycache__/rpc_test_faulty.cpython-37.pyc,,
torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py,sha256=gaTyFpP8KLs1_KmEMT7ZDXTiGutoDTrTsNU62mSSyTY,4227
torch/testing/_internal/distributed/rpc/jit/rpc_test.py,sha256=Uj3AlnbymYONvT-BqkB_FfTmqHfWQ-l3dSScnS-_VI4,44162
torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py,sha256=zLHlwG42NIjIYZ80G7gZ60bX-QeE4C-NUdaoyRT5dkg,8036
torch/testing/_internal/distributed/rpc/process_group_agent_test_fixture.py,sha256=GVuZzCmpLPWYpYjB8Ar6ZoTdO55pcqzXa5Pv3Vki-hs,1410
torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py,sha256=u22zA5cTtovolED3O--7qdkvcACx_VSFdFpTbZHZTHg,1495
torch/testing/_internal/distributed/rpc/rpc_test.py,sha256=mOOjn9tj_KFnertvgUQkfJaRjah--_5uD9LOFy5FKFw,157326
torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py,sha256=G441bFk_trKFvQet90jVQlzw9z56NEf1RVpgZ1BhdjU,891
torch/testing/_internal/distributed/rpc_utils.py,sha256=yQCs81HI3nfFTp8odP6v0oOb4kg0Wpq8MfGN1I1NNZc,5825
torch/testing/_internal/expecttest.py,sha256=m2Nk-mT1PN9Zs_FYMeamrcWn9aGQQBdY0UMU6UJ7Spo,6587
torch/testing/_internal/generated/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/generated/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/generated/__pycache__/annotated_fn_args.cpython-37.pyc,,
torch/testing/_internal/generated/annotated_fn_args.py,sha256=3ZpjhByqhT3h-LTQ27RaoEFdYeOIEbQTq6-XJRA8enY,238427
torch/testing/_internal/hypothesis_utils.py,sha256=1m4HrGVlq9b-3E5JzaKLV9YYLXe_BpROZhiGSf_LPho,14671
torch/testing/_internal/jit_metaprogramming_utils.py,sha256=UX3EVI8cdjPKDANLuBayoQIV7Xlf4xmYhFzrtlTqlwI,23990
torch/testing/_internal/jit_utils.py,sha256=dyDY7nbcLJWZLeOmSIruu8Mr3jJlVdoxYWsR_VNCJLQ,26558
torch/testing/_internal/te_utils.py,sha256=d4EIioHPmK289UlKTg3qhzG8exMNETPIAJ8tqeAoGiI,1155
torch/testing/_internal/test_module/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/test_module/__pycache__/__init__.cpython-37.pyc,,
torch/testing/_internal/test_module/__pycache__/future_div.cpython-37.pyc,,
torch/testing/_internal/test_module/__pycache__/no_future_div.cpython-37.pyc,,
torch/testing/_internal/test_module/future_div.py,sha256=yGuyEU8hmwO00X_HbRKVi04QdzROXjCig1Pp3pfsChs,150
torch/testing/_internal/test_module/no_future_div.py,sha256=SKW0a-yqFgowu4GOSxu19AaZDvO94x-TnLqUwYtpxcQ,122
torch/types.py,sha256=FAQEXFtDLoJxXmCE5ddoWElTw5C7Ban3pb90BIhc_UE,1551
torch/utils/__init__.py,sha256=lzLUuHpQ4zVfxUDgs8zDjErogk-0e1WwrZN1HPZfXZM,434
torch/utils/__pycache__/__init__.cpython-37.pyc,,
torch/utils/__pycache__/_cpp_extension_versioner.cpython-37.pyc,,
torch/utils/__pycache__/bundled_inputs.cpython-37.pyc,,
torch/utils/__pycache__/checkpoint.cpython-37.pyc,,
torch/utils/__pycache__/collect_env.cpython-37.pyc,,
torch/utils/__pycache__/cpp_extension.cpython-37.pyc,,
torch/utils/__pycache__/dlpack.cpython-37.pyc,,
torch/utils/__pycache__/file_baton.cpython-37.pyc,,
torch/utils/__pycache__/hooks.cpython-37.pyc,,
torch/utils/__pycache__/mkldnn.cpython-37.pyc,,
torch/utils/__pycache__/mobile_optimizer.cpython-37.pyc,,
torch/utils/__pycache__/model_zoo.cpython-37.pyc,,
torch/utils/__pycache__/show_pickle.cpython-37.pyc,,
torch/utils/__pycache__/throughput_benchmark.cpython-37.pyc,,
torch/utils/_cpp_extension_versioner.py,sha256=urjBk1PumQrw5HD1BObgxb-L8E2V6VoqMNd31aoHnh8,1771
torch/utils/backcompat/__init__.py,sha256=1vl5-Q4ISj-DetbRdyAiaAdDwzj5cRhuaz1a0EawAn4,675
torch/utils/backcompat/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/__init__.py,sha256=zhyiUXsMlaUfK98eYXynKQ-L8LjoxIaPGnbWRnr52dY,196
torch/utils/benchmark/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/examples/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/examples/__pycache__/compare.cpython-37.pyc,,
torch/utils/benchmark/examples/__pycache__/end_to_end.cpython-37.pyc,,
torch/utils/benchmark/examples/__pycache__/fuzzer.cpython-37.pyc,,
torch/utils/benchmark/examples/__pycache__/op_benchmark.cpython-37.pyc,,
torch/utils/benchmark/examples/__pycache__/simple_timeit.cpython-37.pyc,,
torch/utils/benchmark/examples/compare.py,sha256=WnAqs0qorzpD-5rkkbtsOOpBeLZdr0TTfKhOovq-sok,2896
torch/utils/benchmark/examples/end_to_end.py,sha256=DAbsQtrDxNT_nxiYDUxm5azlXCiBPvgbjXKRIPI1Xa4,14629
torch/utils/benchmark/examples/fuzzer.py,sha256=2YxTfVGhZFB9sVYSCbPt8tcmuWrPFtIH-NWucw2xDII,2622
torch/utils/benchmark/examples/op_benchmark.py,sha256=BuN1uygjO4AnnWRIPsHnubu34mGg7EVcWLjn17z0MD4,4176
torch/utils/benchmark/examples/simple_timeit.py,sha256=-ZXxBv6jUWNKaoDSAIdyFv7s7Jr_5MRDFQUale5ychc,533
torch/utils/benchmark/op_fuzzers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/op_fuzzers/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/op_fuzzers/__pycache__/binary.cpython-37.pyc,,
torch/utils/benchmark/op_fuzzers/__pycache__/unary.cpython-37.pyc,,
torch/utils/benchmark/op_fuzzers/binary.py,sha256=uLwDtIzVosONoqYgeWpqovKzLOhb1Er9_9ClF0diO38,4109
torch/utils/benchmark/op_fuzzers/unary.py,sha256=OYGfWne_fZWUqZXz_hv2glMpYoO3cvIdWeYcEUF7ZGk,3119
torch/utils/benchmark/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/utils/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/utils/__pycache__/common.cpython-37.pyc,,
torch/utils/benchmark/utils/__pycache__/compare.cpython-37.pyc,,
torch/utils/benchmark/utils/__pycache__/fuzzer.cpython-37.pyc,,
torch/utils/benchmark/utils/__pycache__/timer.cpython-37.pyc,,
torch/utils/benchmark/utils/common.py,sha256=DcOsbFeM2E0ok_l1D44rieq-wwHvBNNz0Kkr0ONHXAw,9551
torch/utils/benchmark/utils/compare.py,sha256=z3R0kXVxPWEuYhWDnTbUhnq3ekG7B9wm56B4olGqrQI,11706
torch/utils/benchmark/utils/fuzzer.py,sha256=fgOxmkWu0AOC2X2l-y4eh8JTeotWWPtTgtTNxPY7OCk,18171
torch/utils/benchmark/utils/timer.py,sha256=9VzhTdtcInbtdDAYaM64TBS9Rvq8pwmk70AGGeh8lYg,6723
torch/utils/benchmark/utils/valgrind_wrapper/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/utils/valgrind_wrapper/__pycache__/__init__.cpython-37.pyc,,
torch/utils/benchmark/utils/valgrind_wrapper/__pycache__/timer_interface.cpython-37.pyc,,
torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py,sha256=qwYGnFvhOOTZsfvoRyAopRqIwdyiqgTcdSnIZhDjCSc,20193
torch/utils/bottleneck/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/bottleneck/__main__.py,sha256=o-BUNLb4MJHP1OPLEHFNmZTWc3C_mCBevkD8nVL13IU,7217
torch/utils/bottleneck/__pycache__/__init__.cpython-37.pyc,,
torch/utils/bottleneck/__pycache__/__main__.cpython-37.pyc,,
torch/utils/bundled_inputs.py,sha256=QBh8Il8lsy1U2LPfGREooPDRnOKz7zgahpZdLdMi5nQ,6632
torch/utils/checkpoint.py,sha256=zxt3vMw1LkEZLtlndK_iI9THShZN_41tP6GTCf1zeF0,10046
torch/utils/collect_env.py,sha256=RG_-vRE2P-Q9S1TOhBBagZb48UsQog-xfitUzm4HwOA,14713
torch/utils/cpp_extension.py,sha256=Dz1suuYgUG3ek0KNWN5b3noO0watKSb2jo68Q1Lk5Ao,76538
torch/utils/data/__init__.py,sha256=JeL3qmrNqSUbqxJ7b7EdwHh-s-UWkn9ej-ioNKvnfpc,687
torch/utils/data/__pycache__/__init__.cpython-37.pyc,,
torch/utils/data/__pycache__/dataloader.cpython-37.pyc,,
torch/utils/data/__pycache__/dataset.cpython-37.pyc,,
torch/utils/data/__pycache__/distributed.cpython-37.pyc,,
torch/utils/data/__pycache__/sampler.cpython-37.pyc,,
torch/utils/data/_utils/__init__.py,sha256=84sBeAAEhQWLD5ECzddV8CFEfakHmRd5IaX95kXdn6o,1501
torch/utils/data/_utils/__pycache__/__init__.cpython-37.pyc,,
torch/utils/data/_utils/__pycache__/collate.cpython-37.pyc,,
torch/utils/data/_utils/__pycache__/fetch.cpython-37.pyc,,
torch/utils/data/_utils/__pycache__/pin_memory.cpython-37.pyc,,
torch/utils/data/_utils/__pycache__/signal_handling.cpython-37.pyc,,
torch/utils/data/_utils/__pycache__/worker.cpython-37.pyc,,
torch/utils/data/_utils/collate.py,sha256=7fDi7cR96Auueq--fBgccE9RKRUnYAb4Da3teJJyTuc,3670
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=e52xAxLWgTWwTuDRTQ8D1QZBcVFYJX6WRNK6PXieb9M,3142
torch/utils/data/_utils/worker.py,sha256=NZrTNZR_ZktHBdKMshJUac96rhV2cj79MkyOGcYzEPo,9295
torch/utils/data/dataloader.py,sha256=tIjBcF6oldTNVyWj41cvlT_yUMhwboS9chDcz1XmvZ8,60162
torch/utils/data/dataset.py,sha256=q0nuLv9VBtRA8P3CAltHAbFejpIuSQQqeZ5KTbIbSMk,11817
torch/utils/data/distributed.py,sha256=bZdDMKCux_sCy2dyFUY_WUbFusg2AUmHTIeQ7m73Uwg,5534
torch/utils/data/sampler.py,sha256=Na2OcskDY9Ytz5TDf5MLv3cvPXg3_1EWgEPe2Do8iUE,10122
torch/utils/dlpack.py,sha256=6oFWMNgZ4nGJ9STL31DoHmRkDhN9yE525HWcftykL6g,642
torch/utils/ffi/__init__.py,sha256=XcihawFoWc4xlTvnmJphj-BuBvARttivCF0DrB9IGz4,87
torch/utils/ffi/__pycache__/__init__.cpython-37.pyc,,
torch/utils/file_baton.py,sha256=OsMGgbIMjO5YOBtc49wNxuC0wDGA8CFTz3w1O0fzQKc,1570
torch/utils/hipify/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/hipify/__pycache__/__init__.cpython-37.pyc,,
torch/utils/hipify/__pycache__/constants.cpython-37.pyc,,
torch/utils/hipify/__pycache__/cuda_to_hip_mappings.cpython-37.pyc,,
torch/utils/hipify/__pycache__/hipify_python.cpython-37.pyc,,
torch/utils/hipify/constants.py,sha256=eO1madF5Ofjm9ex5tPVQ97Wyr_bmtvwh6jP7JccXTQI,1180
torch/utils/hipify/cuda_to_hip_mappings.py,sha256=Z4k6QmJT7vojoxK_7Aidbj40PD5YkHprF8AZzXdm9VA,304346
torch/utils/hipify/hipify_python.py,sha256=oM-3dbsa0cV26na2oWjX4unQeZAub06vV4XW_huizdk,31344
torch/utils/hooks.py,sha256=trpZ6VlvifkNPsiCjGbTOwSDfKLMQ9tymMmhiTDFVQE,1961
torch/utils/mkldnn.py,sha256=hmkojTj0GtsWK9ySoOXXgZVJn0XngUXJ2ebWSK4YCUE,6640
torch/utils/mobile_optimizer.py,sha256=JI6La3auHubMKF2Bjqoo2f2a01iA6DZS87fA-U3WbGg,3860
torch/utils/model_zoo.py,sha256=o2NC-XaU8fqDXbUBQDv7thQBld_LOK-Ko63GS4x8Iyg,117
torch/utils/show_pickle.py,sha256=zDOST-75Zov-xO4SCLptdRdl8_PcgkJWuAhYvoBp8Uo,3982
torch/utils/tensorboard/__init__.py,sha256=xbjIL5k8W5vJ8e9CudCweXg4WoNknppn83rswfdsSWU,430
torch/utils/tensorboard/__pycache__/__init__.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_caffe2_graph.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_convert_np.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_embedding.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_onnx_graph.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_proto_graph.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_pytorch_graph.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/_utils.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/summary.cpython-37.pyc,,
torch/utils/tensorboard/__pycache__/writer.cpython-37.pyc,,
torch/utils/tensorboard/_caffe2_graph.py,sha256=8ug-p5I-iTiFfCTZaJZecsIwUwL2kNvg1NMPQxT9UTc,26614
torch/utils/tensorboard/_convert_np.py,sha256=2iKfsqA1jV15KpKdMsUVHf0DdKmEbLEZlPa0zYD2MVQ,909
torch/utils/tensorboard/_embedding.py,sha256=d7tXmvpotfO3SP5x1MYm0OF4LvbujVU-G_oke9_sHjY,2884
torch/utils/tensorboard/_onnx_graph.py,sha256=1l6YEbNqn4Kx1uGE-7sZHbOXL0rmLFynn_1tlBuKL-M,1759
torch/utils/tensorboard/_proto_graph.py,sha256=Ek7yCT-K_QO0n8s8ewjR-yBejnkXzNeeRvD1yY8SY_E,1688
torch/utils/tensorboard/_pytorch_graph.py,sha256=mFAe91hRQ5o1rp0zJnep-ryT5_VTPHh-cCEPNJQqIFY,12722
torch/utils/tensorboard/_utils.py,sha256=c6v0OvVWF_JgWo3pNZ1VhoG9pj_fZ_j-796_t9TmB7E,4083
torch/utils/tensorboard/summary.py,sha256=JbGsAE2BbxqJMKSWTA6tPprNTNkocwcrOoFPYXLE9fU,28998
torch/utils/tensorboard/writer.py,sha256=OKR6zv0H5U6iDY3XyHZE-UR_4teqim4HHsHWJYI199A,46394
torch/utils/throughput_benchmark.py,sha256=zvCUkKiPxjlXMaASBK8MWbdQpSHZWm5u8hM0LafpUnY,6387
torch/version.py,sha256=RKlrTS8uia8mdVG6YkGdZf4bCBwZk__3a1jiFv8FXUU,116
