../../Scripts/convert-caffe2-to-onnx.exe,sha256=Lt8u8xy7JjlyDHF1iKMNridpCtBHRxdR_2aRPQ2kuaE,102811
../../Scripts/convert-onnx-to-caffe2.exe,sha256=B_-l0MfcR2MmKwktexGmhVX8Ibf2JwZATIfgC_1UDZw,102811
caffe2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/aten/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/aten/__pycache__/aten_test.cpython-36.pyc,,
caffe2/contrib/aten/__pycache__/gen_op.cpython-36.pyc,,
caffe2/contrib/aten/aten_test.py,sha256=c8Hr6MaRlhT7bgBZZSfwpcNIDdHyVNTMuX4rfhCYXGU,3417
caffe2/contrib/aten/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/docs/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/aten/docs/__pycache__/sample.cpython-36.pyc,,
caffe2/contrib/aten/docs/sample.py,sha256=zsqpXu-D1ZEhp3UMyyP49UAlIMAk-rAw1cnD3DCq0vc,1676
caffe2/contrib/aten/gen_op.py,sha256=2-qzRX49HbtCaMWhlrhJNEtyKVP94tCpiZuI9tLxz_Y,11212
caffe2/contrib/gloo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/gloo/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/gloo/__pycache__/gloo_test.cpython-36.pyc,,
caffe2/contrib/gloo/gloo_test.py,sha256=VFs2P28EoODFV5PHOSWeUcq8BhGeAmIVWaIT9y9VX5g,24777
caffe2/contrib/nccl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nccl/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/nccl/__pycache__/nccl_ops_test.cpython-36.pyc,,
caffe2/contrib/nccl/nccl_ops_test.py,sha256=jd1Ed9oX3Y0bLCOqXe01TYs7mO0_GTr3vvba0c9Ragc,8475
caffe2/contrib/nnpack/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nnpack/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/nnpack/__pycache__/nnpack_ops_test.cpython-36.pyc,,
caffe2/contrib/nnpack/nnpack_ops_test.py,sha256=LY24T79bz-RAVPqv8XWuQqPM3BV-uDsPNRIzI5ZwJY8,8528
caffe2/contrib/playground/AnyExp.py,sha256=ShRittBCs6F4WtAef8hae8W5DjZHKFrlO3N5c1hMMzo,18604
caffe2/contrib/playground/AnyExpOnTerm.py,sha256=mwabpRJ-wJwMS7KrOobTorevtvy6bnWxABSQgLblatU,3589
caffe2/contrib/playground/ModuleRegister.py,sha256=Cj-M0QRX9sAIfdEphg-Rw93390Z7NtfVdcMznFSvqF0,5036
caffe2/contrib/playground/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/__pycache__/AnyExp.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/AnyExpOnTerm.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/ModuleRegister.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/checkpoint.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/compute_loss.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/compute_topk_accuracy.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/meter.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/module_map.cpython-36.pyc,,
caffe2/contrib/playground/__pycache__/output_generator.cpython-36.pyc,,
caffe2/contrib/playground/checkpoint.py,sha256=O6q63bMkhYGp1KnUdN0ontxL96ppiAUKKzw_wW7wtu0,7211
caffe2/contrib/playground/compute_loss.py,sha256=etgQPVa_Kx96FLU_LHTC3GfZENqZlGg_AZICwWYoqqo,1145
caffe2/contrib/playground/compute_topk_accuracy.py,sha256=AXApDDZDawXMzN-yJZVVUvsLGAbz1necDJ8SbjQI_KY,2393
caffe2/contrib/playground/meter.py,sha256=AjuMghFIXOp1scmkd2gLpUoSqlALDeWH06oppFSP0U4,462
caffe2/contrib/playground/module_map.py,sha256=YfOp8Fjk-zSn2CzrAsIy7o27dbgbPuQXI8qF4xFcFlo,1621
caffe2/contrib/playground/output_generator.py,sha256=8fjICyqfsmsQTOwdFhja8LtdZ17RHskOYRWcM6cZ--M,643
caffe2/contrib/playground/resnetdemo/IN1k_resnet.py,sha256=0No0deIAiZaedgrlvPqaelmBAyLJyUnImgVmj--oigA,1700
caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py,sha256=jJYAQpVolXGhimX6bK1uqCIkNHTrRcf7IGpS6MzmDvA,2087
caffe2/contrib/playground/resnetdemo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/IN1k_resnet_no_test_model.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_forward.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/caffe2_resnet50_default_param_update.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_forward.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/explicit_resnet_param_update.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/gfs_IN1k.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/override_no_test_model_no_checkpoint.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/__pycache__/rendezvous_filestore.cpython-36.pyc,,
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py,sha256=lNUOlDCNbuyBKJFlp94y-MczSHmIEJx0i7QG319LbZg,824
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_param_update.py,sha256=2WhphE88gfY9PuqcYeP01xZxyi92dt_hZmxkz_GqVFU,1518
caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py,sha256=WMCo4-Rmzj21x3sEvAR9Wd_UZJUg9N7cBO74Yvv4I9U,11949
caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py,sha256=fHO9_-khT3VBdgGoNifcWnGjf3XC_DdLl92o6MORiP4,2478
caffe2/contrib/playground/resnetdemo/gfs_IN1k.py,sha256=4V9sSgRCCDhC1ogFiJNNRFbzuyqSvVggrw4gJytfANc,1605
caffe2/contrib/playground/resnetdemo/override_no_test_model_no_checkpoint.py,sha256=kBbnuumqRjTNVVP_qMnAAt8TQAcHhUec4sY9L0wsXGU,468
caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py,sha256=FEV3BTzXW-DFtXZu_RpNSH4Owq_X63DRQE_NXVvKRJA,1602
caffe2/contrib/prof/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/prof/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/prof/__pycache__/cuda_profile_ops_test.cpython-36.pyc,,
caffe2/contrib/prof/cuda_profile_ops_test.py,sha256=lsSGwWBOs5lDE6m8OF5KaNhA2An16p-WjQUGQDMh5Gc,873
caffe2/contrib/script/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/script/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/examples/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/tensorboard/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/tensorboard/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard.cpython-36.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter.cpython-36.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_exporter_test.cpython-36.pyc,,
caffe2/contrib/tensorboard/__pycache__/tensorboard_test.cpython-36.pyc,,
caffe2/contrib/tensorboard/tensorboard.py,sha256=E_9P-F-RZt7kP3cf9PJr-udQBxMFZ3t2GsZCGtukj58,6288
caffe2/contrib/tensorboard/tensorboard_exporter.py,sha256=vwSs07f3NjysM6ZgX8eE7q17toxhEYW3w6-rBKemwWE,10318
caffe2/contrib/tensorboard/tensorboard_exporter_test.py,sha256=OnYFmWStfCNvXqVe_aVV3j9THFvkhQYD64zHBkSG3fc,14701
caffe2/contrib/tensorboard/tensorboard_test.py,sha256=0HXLYx_FHeUyPoUzntEYf9J48iPku0KDopbpkhzZvxM,3970
caffe2/contrib/warpctc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/warpctc/__pycache__/__init__.cpython-36.pyc,,
caffe2/contrib/warpctc/__pycache__/ctc_ops_test.cpython-36.pyc,,
caffe2/contrib/warpctc/ctc_ops_test.py,sha256=_gXGaPMbLy4sk2-9Ihrx9Fm5KUPufAkNjpSEgd3DnRw,4129
caffe2/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/__pycache__/__init__.cpython-36.pyc,,
caffe2/core/nomnigraph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/nomnigraph/__pycache__/__init__.cpython-36.pyc,,
caffe2/core/nomnigraph/__pycache__/op_gen.cpython-36.pyc,,
caffe2/core/nomnigraph/op_gen.py,sha256=dd3fB8q42oL1rcJuELEE2_X_LA4bXEd2pgv9GOe9oHs,7953
caffe2/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/distributed/__pycache__/__init__.cpython-36.pyc,,
caffe2/distributed/__pycache__/file_store_handler_op_test.cpython-36.pyc,,
caffe2/distributed/__pycache__/redis_store_handler_op_test.cpython-36.pyc,,
caffe2/distributed/__pycache__/store_ops_test_util.cpython-36.pyc,,
caffe2/distributed/file_store_handler_op_test.py,sha256=s3Wxg2-YdBieaDrPk2xuDFpOSdin8AkqUwDGSWWfatw,1953
caffe2/distributed/redis_store_handler_op_test.py,sha256=qqBVAbAIzG9EHXX0IyzTIYQDRi8deJolSSIGhUYzdCU,1495
caffe2/distributed/store_ops_test_util.py,sha256=HCG3-ETbn-6vkGITGGRvcl0VXvRmToUB882kLHrHRwQ,2434
caffe2/experiments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/__pycache__/__init__.cpython-36.pyc,,
caffe2/experiments/python/SparseTransformer.py,sha256=H-zjMhhh8Nn_P4kScRXc19OzIgrA8XyGoBa9jCLBclU,7239
caffe2/experiments/python/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/python/__pycache__/SparseTransformer.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/__init__.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/convnet_benchmarks.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/device_reduce_sum_bench.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/funhash_op_test.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/net_construct_bench.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/sparse_funhash_op_test.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/sparse_reshape_op_test.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/tt_contraction_op_test.cpython-36.pyc,,
caffe2/experiments/python/__pycache__/tt_pad_op_test.cpython-36.pyc,,
caffe2/experiments/python/convnet_benchmarks.py,sha256=z3OHwYI75fmiBqrKMa0ktzwpon2B3xhUm5KKSA14Qg4,21247
caffe2/experiments/python/device_reduce_sum_bench.py,sha256=VP4f6iEkEWeP24K5XOIriwBNtF92UpAAp2BA0kEJQI4,4221
caffe2/experiments/python/funhash_op_test.py,sha256=P92y3QV-gvRnOpQGu7Fe8bn5PT9D5yaKD-O-o-I3Plc,2964
caffe2/experiments/python/net_construct_bench.py,sha256=vUhIjQVfM6g0KdexiRLS14GgkhAMnvwXgItujkii1Zc,4420
caffe2/experiments/python/sparse_funhash_op_test.py,sha256=kDlxk_sdAjQd2cPfnJ-GQUx6I2-5AwtFsxWxJIkAduI,2720
caffe2/experiments/python/sparse_reshape_op_test.py,sha256=zyAuPAYWzEy_AtiiaWb4luO2-oqccKHdJ6u_DpMdZj8,3661
caffe2/experiments/python/tt_contraction_op_test.py,sha256=lwZL_n_SgbhHiv-jq6bM0ytWqyOZWgG1vgjHTm8gy0g,2307
caffe2/experiments/python/tt_pad_op_test.py,sha256=MlzCcZN69Rk4gDQjvPut2q9q1xq0OPkok4e5t4x8IW8,2149
caffe2/perfkernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/perfkernels/__pycache__/__init__.cpython-36.pyc,,
caffe2/perfkernels/__pycache__/hp_emblookup_codegen.cpython-36.pyc,,
caffe2/perfkernels/hp_emblookup_codegen.py,sha256=Cuz7xEx6bYdppy0o3jVMGx8mpuLFGIo2bpmzQbMD7k4,16627
caffe2/proto/__init__.py,sha256=Mq9WyxB5GMgU0DFfIBImHU1rnlDtcaaTG3a2rcfzcKk,797
caffe2/proto/__pycache__/__init__.cpython-36.pyc,,
caffe2/proto/__pycache__/caffe2_legacy_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/caffe2_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/hsm_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/metanet_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/predictor_consts_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/prof_dag_pb2.cpython-36.pyc,,
caffe2/proto/__pycache__/torch_pb2.cpython-36.pyc,,
caffe2/proto/caffe2_legacy_pb2.py,sha256=f-2HtkjeIEbUY-OFdzDjQVmCtMj1BYhZD-vJ6PCZyjA,5557
caffe2/proto/caffe2_pb2.py,sha256=dbv1tqZUF6FQ3suZVaRXTz-sX2fLo95KQXsgJOHplQM,63215
caffe2/proto/hsm_pb2.py,sha256=RndG9CTa52bmOj2Boxih0l5533svk81Lq3xmxjfhlYQ,9996
caffe2/proto/metanet_pb2.py,sha256=2M-okmtxsV9SCGvZIQIy5ilj1tP8PXqSWY19Pv_HYZM,13299
caffe2/proto/predictor_consts_pb2.py,sha256=jTCGKzRYk1_LcQJZvyqoQGWywUKWHC4-GX_OEJKrZYo,7471
caffe2/proto/prof_dag_pb2.py,sha256=Iw59RIGiOgYsZ1DTja1Cndzip7nT5xBPsnmN4_CwfcI,9639
caffe2/proto/torch_pb2.py,sha256=7ZMtMvkr4jCJGN3J1qZaL7L-LseY98tKjbDtRVYqPSU,19694
caffe2/python/__init__.py,sha256=-7_zOb3d9NCby8YyiqyqxhyMe38MKwAjfHqEJsZJuSo,1413
caffe2/python/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/__pycache__/_import_c_extension.cpython-36.pyc,,
caffe2/python/__pycache__/allcompare_test.cpython-36.pyc,,
caffe2/python/__pycache__/attention.cpython-36.pyc,,
caffe2/python/__pycache__/benchmark_generator.cpython-36.pyc,,
caffe2/python/__pycache__/binarysize.cpython-36.pyc,,
caffe2/python/__pycache__/brew.cpython-36.pyc,,
caffe2/python/__pycache__/brew_test.cpython-36.pyc,,
caffe2/python/__pycache__/build.cpython-36.pyc,,
caffe2/python/__pycache__/cached_reader.cpython-36.pyc,,
caffe2/python/__pycache__/caffe_translator.cpython-36.pyc,,
caffe2/python/__pycache__/caffe_translator_test.cpython-36.pyc,,
caffe2/python/__pycache__/checkpoint.cpython-36.pyc,,
caffe2/python/__pycache__/checkpoint_test.cpython-36.pyc,,
caffe2/python/__pycache__/cnn.cpython-36.pyc,,
caffe2/python/__pycache__/compatibility.cpython-36.pyc,,
caffe2/python/__pycache__/context.cpython-36.pyc,,
caffe2/python/__pycache__/context_test.cpython-36.pyc,,
caffe2/python/__pycache__/control.cpython-36.pyc,,
caffe2/python/__pycache__/control_ops_grad.cpython-36.pyc,,
caffe2/python/__pycache__/control_ops_grad_test.cpython-36.pyc,,
caffe2/python/__pycache__/control_ops_util.cpython-36.pyc,,
caffe2/python/__pycache__/control_test.cpython-36.pyc,,
caffe2/python/__pycache__/convert.cpython-36.pyc,,
caffe2/python/__pycache__/convert_test.cpython-36.pyc,,
caffe2/python/__pycache__/convnet_benchmarks.cpython-36.pyc,,
caffe2/python/__pycache__/convnet_benchmarks_test.cpython-36.pyc,,
caffe2/python/__pycache__/core.cpython-36.pyc,,
caffe2/python/__pycache__/core_gradients_test.cpython-36.pyc,,
caffe2/python/__pycache__/core_test.cpython-36.pyc,,
caffe2/python/__pycache__/crf.cpython-36.pyc,,
caffe2/python/__pycache__/crf_predict.cpython-36.pyc,,
caffe2/python/__pycache__/crf_viterbi_test.cpython-36.pyc,,
caffe2/python/__pycache__/data_parallel_model.cpython-36.pyc,,
caffe2/python/__pycache__/data_parallel_model_test.cpython-36.pyc,,
caffe2/python/__pycache__/data_workers.cpython-36.pyc,,
caffe2/python/__pycache__/data_workers_test.cpython-36.pyc,,
caffe2/python/__pycache__/dataio.cpython-36.pyc,,
caffe2/python/__pycache__/dataio_test.cpython-36.pyc,,
caffe2/python/__pycache__/dataset.cpython-36.pyc,,
caffe2/python/__pycache__/db_file_reader.cpython-36.pyc,,
caffe2/python/__pycache__/db_test.cpython-36.pyc,,
caffe2/python/__pycache__/device_checker.cpython-36.pyc,,
caffe2/python/__pycache__/dyndep.cpython-36.pyc,,
caffe2/python/__pycache__/embedding_generation_benchmark.cpython-36.pyc,,
caffe2/python/__pycache__/experiment_util.cpython-36.pyc,,
caffe2/python/__pycache__/extension_loader.cpython-36.pyc,,
caffe2/python/__pycache__/filler_test.cpython-36.pyc,,
caffe2/python/__pycache__/functional.cpython-36.pyc,,
caffe2/python/__pycache__/functional_test.cpython-36.pyc,,
caffe2/python/__pycache__/fused_8bit_rowwise_conversion_ops_test.cpython-36.pyc,,
caffe2/python/__pycache__/gradient_check_test.cpython-36.pyc,,
caffe2/python/__pycache__/gradient_checker.cpython-36.pyc,,
caffe2/python/__pycache__/gru_cell.cpython-36.pyc,,
caffe2/python/__pycache__/hip_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/hsm_util.cpython-36.pyc,,
caffe2/python/__pycache__/hypothesis_test.cpython-36.pyc,,
caffe2/python/__pycache__/hypothesis_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/ideep_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/layer_model_helper.cpython-36.pyc,,
caffe2/python/__pycache__/layer_model_instantiator.cpython-36.pyc,,
caffe2/python/__pycache__/layer_parameter_sharing_test.cpython-36.pyc,,
caffe2/python/__pycache__/layer_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/layers_test.cpython-36.pyc,,
caffe2/python/__pycache__/lengths_reducer_fused_8bit_rowwise_ops_test.cpython-36.pyc,,
caffe2/python/__pycache__/lengths_reducer_rowwise_8bit_ops_test.cpython-36.pyc,,
caffe2/python/__pycache__/lstm_benchmark.cpython-36.pyc,,
caffe2/python/__pycache__/memonger.cpython-36.pyc,,
caffe2/python/__pycache__/memonger_test.cpython-36.pyc,,
caffe2/python/__pycache__/mkl_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/model_device_test.cpython-36.pyc,,
caffe2/python/__pycache__/model_helper.cpython-36.pyc,,
caffe2/python/__pycache__/model_helper_test.cpython-36.pyc,,
caffe2/python/__pycache__/modifier_context.cpython-36.pyc,,
caffe2/python/__pycache__/muji.cpython-36.pyc,,
caffe2/python/__pycache__/muji_test.cpython-36.pyc,,
caffe2/python/__pycache__/net_builder.cpython-36.pyc,,
caffe2/python/__pycache__/net_builder_test.cpython-36.pyc,,
caffe2/python/__pycache__/net_drawer.cpython-36.pyc,,
caffe2/python/__pycache__/net_printer.cpython-36.pyc,,
caffe2/python/__pycache__/net_printer_test.cpython-36.pyc,,
caffe2/python/__pycache__/nomnigraph.cpython-36.pyc,,
caffe2/python/__pycache__/nomnigraph_test.cpython-36.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations.cpython-36.pyc,,
caffe2/python/__pycache__/nomnigraph_transformations_test.cpython-36.pyc,,
caffe2/python/__pycache__/normalizer.cpython-36.pyc,,
caffe2/python/__pycache__/normalizer_context.cpython-36.pyc,,
caffe2/python/__pycache__/normalizer_test.cpython-36.pyc,,
caffe2/python/__pycache__/numa_benchmark.cpython-36.pyc,,
caffe2/python/__pycache__/numa_test.cpython-36.pyc,,
caffe2/python/__pycache__/observer_test.cpython-36.pyc,,
caffe2/python/__pycache__/operator_fp_exceptions_test.cpython-36.pyc,,
caffe2/python/__pycache__/optimizer.cpython-36.pyc,,
caffe2/python/__pycache__/optimizer_context.cpython-36.pyc,,
caffe2/python/__pycache__/optimizer_test.cpython-36.pyc,,
caffe2/python/__pycache__/optimizer_test_util.cpython-36.pyc,,
caffe2/python/__pycache__/parallel_workers.cpython-36.pyc,,
caffe2/python/__pycache__/parallel_workers_test.cpython-36.pyc,,
caffe2/python/__pycache__/parallelize_bmuf_distributed_test.cpython-36.pyc,,
caffe2/python/__pycache__/pipeline.cpython-36.pyc,,
caffe2/python/__pycache__/pipeline_test.cpython-36.pyc,,
caffe2/python/__pycache__/predictor_constants.cpython-36.pyc,,
caffe2/python/__pycache__/python_op_test.cpython-36.pyc,,
caffe2/python/__pycache__/queue_util.cpython-36.pyc,,
caffe2/python/__pycache__/record_queue.cpython-36.pyc,,
caffe2/python/__pycache__/recurrent.cpython-36.pyc,,
caffe2/python/__pycache__/regularizer.cpython-36.pyc,,
caffe2/python/__pycache__/regularizer_context.cpython-36.pyc,,
caffe2/python/__pycache__/regularizer_test.cpython-36.pyc,,
caffe2/python/__pycache__/rnn_cell.cpython-36.pyc,,
caffe2/python/__pycache__/schema.cpython-36.pyc,,
caffe2/python/__pycache__/schema_test.cpython-36.pyc,,
caffe2/python/__pycache__/scope.cpython-36.pyc,,
caffe2/python/__pycache__/scope_test.cpython-36.pyc,,
caffe2/python/__pycache__/session.cpython-36.pyc,,
caffe2/python/__pycache__/session_test.cpython-36.pyc,,
caffe2/python/__pycache__/sparse_to_dense_mask_test.cpython-36.pyc,,
caffe2/python/__pycache__/sparse_to_dense_test.cpython-36.pyc,,
caffe2/python/__pycache__/task.cpython-36.pyc,,
caffe2/python/__pycache__/task_test.cpython-36.pyc,,
caffe2/python/__pycache__/test_util.cpython-36.pyc,,
caffe2/python/__pycache__/text_file_reader.cpython-36.pyc,,
caffe2/python/__pycache__/timeout_guard.cpython-36.pyc,,
caffe2/python/__pycache__/toy_regression_test.cpython-36.pyc,,
caffe2/python/__pycache__/transformations.cpython-36.pyc,,
caffe2/python/__pycache__/transformations_test.cpython-36.pyc,,
caffe2/python/__pycache__/tt_core.cpython-36.pyc,,
caffe2/python/__pycache__/tt_core_test.cpython-36.pyc,,
caffe2/python/__pycache__/utils.cpython-36.pyc,,
caffe2/python/__pycache__/utils_test.cpython-36.pyc,,
caffe2/python/__pycache__/visualize.cpython-36.pyc,,
caffe2/python/__pycache__/workspace.cpython-36.pyc,,
caffe2/python/__pycache__/workspace_test.cpython-36.pyc,,
caffe2/python/_import_c_extension.py,sha256=0YdPBVI5nwYk9FrSoMFM9_BK9bnhOMkKd8fS37LdWbE,2665
caffe2/python/allcompare_test.py,sha256=uEakA3AA4ML8YaVL-1zHxaYoklF5rG_rI-vQgSqS8zY,2445
caffe2/python/attention.py,sha256=WsRGmOx5_Y8hK35zAhrjQPXiHGWkB6inCFJ6wlqkAwQ,12928
caffe2/python/benchmark_generator.py,sha256=XAh-r4Zlg0SYV1Oww_3JkQYpyP-Rq8mB73jbxgmV2D4,5193
caffe2/python/binarysize.py,sha256=sIH93UfiQDNzsjbegYHwEjJ0UDRYIfAFuuztmUUTV2o,5830
caffe2/python/brew.py,sha256=-NhXPg7Y23evvv0RDNS1HggVIQkmSGnfMrQkmckXZLg,4614
caffe2/python/brew_test.py,sha256=7frLimxBT6XFyxHl8wvBLCVb-oqNZTaaTTJ367smYp0,12212
caffe2/python/build.py,sha256=z6ZZOv2fof9iVXR__hILXtdyx1peKWZCkdO8xL3fFHw,307
caffe2/python/cached_reader.py,sha256=V3FXJo6oeOzsr8fRyQYurcRJ_5uXlolh81OrYoAYHSg,4431
caffe2/python/caffe2_pybind11_state.cp36-win_amd64.pyd,sha256=rOcfemuIu1kYthx_U6OB13hribZPyFRYfyGyyyUockM,2317312
caffe2/python/caffe_translator.py,sha256=aLs-qXLQ7HdScrvrVtQ8CSMf5qRtqYUYGN2FlCHFH_Y,36188
caffe2/python/caffe_translator_test.py,sha256=gpot6ruHYLLS9igJWKv3uFJV2SgMmCuzV4O2Dw0uaYw,3643
caffe2/python/checkpoint.py,sha256=zfG1yaWba7ARTuJwYzx6fACj0mbw1MDUs2KzkmMDBMM,33048
caffe2/python/checkpoint_test.py,sha256=2-okxjqW4n2k0wpYz18bnCJMqV42NHwKUAiRnvZArYE,13888
caffe2/python/cnn.py,sha256=XQ2Wob9LEZePy1JzvXUeKtSrrD22DoUfgn0NJqh6klg,8011
caffe2/python/compatibility.py,sha256=ntXgPb3pqX1bbQz7NUjYas86klcMTfNxR5tRxHqQGPI,172
caffe2/python/context.py,sha256=Kzu7xbxeQ7VFC70e3gvqWTJtCudtAnNCAIG684GY_Bo,3529
caffe2/python/context_test.py,sha256=cIB9YVEQ65xJ7WydQfSDwrRtTBnbTPUY2QiIs2INGmI,1087
caffe2/python/control.py,sha256=S1a6TqzFTYg6ukiH7RSn43Nh5LIANZbbyMf703NIL0U,20029
caffe2/python/control_ops_grad.py,sha256=klPykDzxwOwHIZMEA5WxTGcfXDnRHm4p9lO6TM_tkJo,29744
caffe2/python/control_ops_grad_test.py,sha256=bVOJdqUYoS_u3YO3PiUW-xFmIzYseSV0nJemJ8m_Afc,1731
caffe2/python/control_ops_util.py,sha256=JGjCjnozopPcGTynzbqGgXhnQC-klB-yX-0FUI1zbUI,11271
caffe2/python/control_test.py,sha256=pz93p-ZhAJxXowkQ40JaShbekMkps2USbE85GXkem6o,12752
caffe2/python/convert.py,sha256=7W7A6Xe69yu3udGWBU2MVl_9NfCo1141gwPxZoYxYGM,309
caffe2/python/convert_test.py,sha256=ANaP9TZB8jGPNMoIzswQUd9_8yRO_jl18t6CJLvgg1M,437
caffe2/python/convnet_benchmarks.py,sha256=ohwSydeKe2IZg8-DryZ0JpVoQ77r3hYjhXeHLuBHP1w,21260
caffe2/python/convnet_benchmarks_test.py,sha256=FcDzZKLC3TK627QmnjElaEz0aLXy8jKECk2yoNQk1BM,862
caffe2/python/core.py,sha256=fPO9mUf4T5-hs5A3yA-pbZ_Ib1dm5ng26SnsOGN6JU4,119390
caffe2/python/core_gradients_test.py,sha256=5Yub8fsVR6vpMEqIaIeEPjwgFIn1sn9id3RHpHRYbuo,35566
caffe2/python/core_test.py,sha256=gBk0lXpVDOIxhOpbMWA0soRi75jQ5js-dQVEbGLiiS0,46742
caffe2/python/crf.py,sha256=RFaiiJnM8_3ViCkIrPrnxKsGZkLn7dnOK8azmmG8H2o,13644
caffe2/python/crf_predict.py,sha256=6qH4lrGQvQF1evyW6HXHaeEL0l9VToPoMjV5n7YGzhc,1274
caffe2/python/crf_viterbi_test.py,sha256=h3z_z0hACwqiw1hPDgejXnshNUMNgLSuqcJ4hHX1VbI,1814
caffe2/python/data_parallel_model.py,sha256=CCnGgC34O7b6yTUqZU0ctMiSygHAPNr65_TwUh8eQNc,85203
caffe2/python/data_parallel_model_test.py,sha256=F0-q5PNKLdM5rvdJkXXzYbAFHukJm8aGhrX3LVjrTbw,57345
caffe2/python/data_workers.py,sha256=ccpLaHP6OQ_1Gtq2vGwIlCOECKtOtZW1MaLHYA2wx5c,16607
caffe2/python/data_workers_test.py,sha256=Q0-HC3290v4xD-b4_CNmcfrHyRjUzafZ4MiuMgsKExY,6817
caffe2/python/dataio.py,sha256=m1jisVbQeZ2oYG2XxTS6tPAZFVsvebVj44k-WKsnUhM,22881
caffe2/python/dataio_test.py,sha256=VFD9Eu86tJufQIqEEcwPot2lG_CYEvSAgNgMMFcjukU,16593
caffe2/python/dataset.py,sha256=6Pj6_hQzY_KVdQE9Visnu0M_l3oKgVUcRTDE3JOF9jc,13375
caffe2/python/db_file_reader.py,sha256=2fYF2YqPXPsfLUH3K53CcUVHR54SBDoHHEgPd26m2Z8,6753
caffe2/python/db_test.py,sha256=vP_dWYXoB2pQWFMmzwRi5m_zGUMAWWvuI54NTFkRNQA,1301
caffe2/python/device_checker.py,sha256=bZgCkL6Mbmqlbr3QzsJdVXajyk3efuDHxutVNnh4AF4,5277
caffe2/python/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/docs/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/docs/__pycache__/formatter.cpython-36.pyc,,
caffe2/python/docs/__pycache__/generator.cpython-36.pyc,,
caffe2/python/docs/__pycache__/github.cpython-36.pyc,,
caffe2/python/docs/__pycache__/parser.cpython-36.pyc,,
caffe2/python/docs/formatter.py,sha256=yMpUKKELHnMT8w7vCxDKoTu8CqOhukBCbPGgyYlMcIg,3123
caffe2/python/docs/generator.py,sha256=IEky14QtbNhkM8v1KNqqAgktMfBWpKOeo5kXAXtYq0s,7626
caffe2/python/docs/github.py,sha256=iX8aKSbxwFE29jdWq63qPRMDt1WvkYsNrv6mkbr-nCo,4324
caffe2/python/docs/parser.py,sha256=Iy9s9swqYM9WtiuMuXz1RzOqMQBfNAPxdDhNSPqP24U,3161
caffe2/python/dyndep.py,sha256=M5KS6-0rRZjFhkyD-DM1EURsVBdT5dHwl5x-g53Fo70,1568
caffe2/python/embedding_generation_benchmark.py,sha256=BZkNKKFxsC-symVamqjJ-l1BbadI9g_k_FFN-jrHx9A,5597
caffe2/python/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/examples/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/examples/__pycache__/char_rnn.cpython-36.pyc,,
caffe2/python/examples/__pycache__/lmdb_create_example.cpython-36.pyc,,
caffe2/python/examples/__pycache__/resnet50_trainer.cpython-36.pyc,,
caffe2/python/examples/char_rnn.py,sha256=o9diMLXUjRf30qjIk84yFZZDgZUxRdLlJiwV5Tcv-Vw,10244
caffe2/python/examples/lmdb_create_example.py,sha256=jNpbtrLYBURM1zMduyFf0FO51idWfbhJUzURoA1B7HQ,3288
caffe2/python/examples/resnet50_trainer.py,sha256=-hvPIi45OlVtjrqAu2sQ8v62pISUEniJ6GLmS5KXODs,26299
caffe2/python/experiment_util.py,sha256=WVTODidZPWcAxXBCgkQaiX4uu4BDeJse9ioxe2hatxw,3896
caffe2/python/extension_loader.py,sha256=1pH1Pqv7psevN5uSI_S25GGodWvfk-u_dG0CJwsbKe0,650
caffe2/python/filler_test.py,sha256=9ttopntpSLOuVwaLCxjG5XYRLBQj7vwGL--P3mT263U,874
caffe2/python/functional.py,sha256=_gACMgO1D73h8vNjYoaZ2y3SLJgISAY3aNQoWhI18cY,4673
caffe2/python/functional_test.py,sha256=PIRAjXK8zfPvc4JKKYGmxkdVOAKoyy6UIYGVCpfo96g,4471
caffe2/python/fused_8bit_rowwise_conversion_ops_test.py,sha256=3BQLOhijDFPdGyh_pHW_H6VYbJvXxB0xSTK2s_krmQA,3718
caffe2/python/gradient_check_test.py,sha256=180ZSi8HZ24xh0MLib99l-2JIt3NL8TOUH0tgvN0-cs,21338
caffe2/python/gradient_checker.py,sha256=ltrPvguZQcvjf0IZ-Kr0OSKNj5vHhDMMTtxDd6bD2uk,13011
caffe2/python/gru_cell.py,sha256=X5FgEPTf6lh1LIL0DL37iquJ-lPgAmAC3-e-RE85MBw,5446
caffe2/python/helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/helpers/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/algebra.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/arg_scope.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/array_helpers.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/control_ops.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/conv.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/db_input.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/dropout.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/elementwise_linear.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/fc.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/nonlinearity.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/normalization.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/pooling.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/tools.cpython-36.pyc,,
caffe2/python/helpers/__pycache__/train.cpython-36.pyc,,
caffe2/python/helpers/algebra.py,sha256=RYYwSeJgmiLTXaz5oP4OTnFP9OB3hRnvaJJfuutmQUI,784
caffe2/python/helpers/arg_scope.py,sha256=tbedq6ioTzL4Kdl_N7IDwrIaOKMpz2WyypFqVtW2yk0,1255
caffe2/python/helpers/array_helpers.py,sha256=VWkrf5_6H_BcLZ_IocVboJu0kxbnXQCPxuuoUznBA9I,818
caffe2/python/helpers/control_ops.py,sha256=wGJkWWAgRKvE1nkeS3RCZZ7k601Q1ELqVTT32AF__cY,798
caffe2/python/helpers/conv.py,sha256=3sAJwGBfoM5kHcsX0hQB0Oy0Id1wRau1awitQaBXZ0o,10903
caffe2/python/helpers/db_input.py,sha256=XIHDLBac77GBwUZTZhIruWsuPm_9O3tFoR7YzGO0uvE,543
caffe2/python/helpers/dropout.py,sha256=WnhwBG-2AQkwKsAEE8UqlT7dffli7wXq3HjOM4VOGPA,574
caffe2/python/helpers/elementwise_linear.py,sha256=ZjdDv_sJ701PHQzRP2cdM5nuSNC5vvetrImNZAarN7w,1576
caffe2/python/helpers/fc.py,sha256=2hN02AYY9IAhMJ2VGP1k3lbgDgyKRti81k4OKhkxw8g,6746
caffe2/python/helpers/nonlinearity.py,sha256=A4gTOcQysGySXVHwiLbFCIeO7B6bmAAYC0whSwMnvXE,1333
caffe2/python/helpers/normalization.py,sha256=J1O6HYKVkH9M-I0Am1hC1WigKjHORJT2RxWNJwK3rN0,11721
caffe2/python/helpers/pooling.py,sha256=Prv2FNTqpoEFrmw2iaKrCasabQTmEH1pVEbmicFR8Ok,1107
caffe2/python/helpers/tools.py,sha256=E3T9IakIPj98-GCnqc5VuWLxL7YPUm47lwKAzVAY3SA,1268
caffe2/python/helpers/train.py,sha256=0-ESs1kCXn6qzwbIHBI-bzwheT-3IdaJmyAKx94X4Do,2415
caffe2/python/hip_test_util.py,sha256=o6PNfW5rsyU6FWkm27C2UDFx91g5lI_RnTcwngFCkTY,568
caffe2/python/hsm_util.py,sha256=gGGhTnfLjRrnCwnFTv1CDi0AQC7KMUPUmqcJKV6KTBA,2474
caffe2/python/hypothesis_test.py,sha256=aC-dV25ehRY-fh0e1QXGAnVwm7ZTM5lMAOsGb_vcEXQ,93188
caffe2/python/hypothesis_test_util.py,sha256=QNU2fmz1fpykXRIQdUpC8qTfYaQuey4n67EAlQ_FsTY,26571
caffe2/python/ideep/LRN_op_test.py,sha256=cVQvP48T1UmRbJeHuNynt_wFdJFBh5bOh_1eweiaaLc,1356
caffe2/python/ideep/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/ideep/__pycache__/LRN_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/adam_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/blobs_queue_db_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/channel_shuffle_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/concat_split_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/conv_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/conv_transpose_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/convfusion_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/copy_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/dropout_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/elementwise_sum_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/expanddims_squeeze_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/fc_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/leaky_relu_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/moment_sgd_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/operator_fallback_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/order_switch_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/pool_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/pre_convert_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/relu_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/reshape_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/shape_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/sigmoid_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/softmax_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/spatial_bn_op_test.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/test_ideep_net.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/transform_ideep_net.cpython-36.pyc,,
caffe2/python/ideep/__pycache__/weightedsum_op_test.cpython-36.pyc,,
caffe2/python/ideep/adam_op_test.py,sha256=4RgpD77qibpFwb92CcZ8uPd3A01HEGBTS946OMYnZh4,3439
caffe2/python/ideep/blobs_queue_db_test.py,sha256=CPnuf1H6K2DlbA1GV_d3AGX9ucggz4AG8sOg6NBISVg,4299
caffe2/python/ideep/channel_shuffle_op_test.py,sha256=Yh4rbonGvOfxiUif7N0LeoWj9rj81RpGjdJWFwuvBVE,1419
caffe2/python/ideep/concat_split_op_test.py,sha256=xKf3Og8VSpSUcFBahBO8se0nBFcR2OAa5KrqN0zw7FI,5731
caffe2/python/ideep/conv_op_test.py,sha256=O3LRlo1eHEE2M-rgPzm_ET3S8bwUwzuukHYlIUKJPvQ,10808
caffe2/python/ideep/conv_transpose_test.py,sha256=pF2oO94F1fw4TYFv9XecZMKXS3BjxYmu1UFl45i2oW8,2777
caffe2/python/ideep/convfusion_op_test.py,sha256=kgNPStZ555FscrS15tfY6o1jxSyNy217igGgMpU02QE,32948
caffe2/python/ideep/copy_op_test.py,sha256=yBLxSBLCyCssz28SaG3qqgApZoYVtCBLL8DvPWeC3a8,3318
caffe2/python/ideep/dropout_op_test.py,sha256=clOj6LjEw0jPck-Q3yKTeWSwl-z8GczPFks4HAPChXs,2326
caffe2/python/ideep/elementwise_sum_op_test.py,sha256=V2qfq8KaPQPD2NgG1wWEYw5LA9DrAzmqyO9Wkqc85hM,6632
caffe2/python/ideep/expanddims_squeeze_op_test.py,sha256=FNE00rUkZrdoNbnoskG9oxVFlStAV1jCcjRBRMyNdGo,4546
caffe2/python/ideep/fc_op_test.py,sha256=2dlqGTybag1xmpeZOlP9flAHGhDBz05UfDEB1HqwWBo,12139
caffe2/python/ideep/leaky_relu_op_test.py,sha256=MgsBAnNPugszoqLft257RdbO5CsHk_fwNphyp7XoZfo,3051
caffe2/python/ideep/moment_sgd_op_test.py,sha256=CrQpXR-g6inOQxUI2DwJ_jnI6oV_l19C7nnb4ge-_10,1983
caffe2/python/ideep/operator_fallback_op_test.py,sha256=YZy9LpssIgCdKrvh9hTjVYC1jFH2w7P5pPPTCZTj76Y,3694
caffe2/python/ideep/order_switch_op_test.py,sha256=pHrlU4r-RtGKSUbHYcFPriYH95QM8VdworQ_ajvpmYk,2468
caffe2/python/ideep/pool_op_test.py,sha256=yiJ7K6KvVrbbcItyA91DjrhL6PwLNBePLli5IRhsqHc,4507
caffe2/python/ideep/pre_convert_test.py,sha256=H7N3yoyi6mqsZ9T6MnTTgfDlbUbgY_SaobWNyjxuOfQ,4357
caffe2/python/ideep/relu_op_test.py,sha256=A_ZaC-270izd9lBBTdZVsV7nH4oPFXFRmZvjG0s89XE,3882
caffe2/python/ideep/reshape_op_test.py,sha256=fxcXdxHbiZO1tgWjV5OQ7utAjUyfKTIqk7LD2Zh0owA,6208
caffe2/python/ideep/shape_op_test.py,sha256=mf5nc4n_452bI9T9AOza_7XjyLaS2PgYL0TqEvzqHOc,2808
caffe2/python/ideep/sigmoid_op_test.py,sha256=Lb9zt_PDGs0Blh-IfX1vuiBNQBHWV5g_g6YoO41f3g0,912
caffe2/python/ideep/softmax_op_test.py,sha256=vZWMeUMOOyFov7A2FPuXJN3VWuQvLM3dYUu6AczFP1A,1111
caffe2/python/ideep/spatial_bn_op_test.py,sha256=8POUYO8IXqjIEoX9yRUQ9b9VXkJRl5Vh1o8-uDHNfz8,5496
caffe2/python/ideep/test_ideep_net.py,sha256=9E3LEArlnyhmJV3gwCjXZF-JpJZfcWj77WKXiCcxmOA,4385
caffe2/python/ideep/transform_ideep_net.py,sha256=ioiXt1AGUbrgMKVwUUvpMW0doSxjuSuHSVUuxsbsTng,12184
caffe2/python/ideep/weightedsum_op_test.py,sha256=Lv0GLbJQXhrgQBY92mh9wfvLWR4fzSwEfL11jSN2wro,1762
caffe2/python/ideep_test_util.py,sha256=V92iywDQjl4dN01Ta_6lJDzNXu22cXidaO-gjBo4bjU,1219
caffe2/python/layer_model_helper.py,sha256=xk1Tdkj0f5IWmjGDHob0FZIyG9AKKD5gwjCBi9rHzDM,28598
caffe2/python/layer_model_instantiator.py,sha256=hkUjJuugt8eEk1VvjU8utHYRL-BMRVcm0Jx2Bbo1_t0,4193
caffe2/python/layer_parameter_sharing_test.py,sha256=pRM_Ip2B5XaS_2-Nj9mawYA7AMQnOkpmGv7I5Uof2Qg,9542
caffe2/python/layer_test_util.py,sha256=opSEIzc4fnSagW4ckQCXPoSvk7qB27LyyBW374cIbpM,5058
caffe2/python/layers/__init__.py,sha256=k4wI6PJ_dwoZLOUcM9wkBDRdgOGWm6f3o6kxmIW-Z4M,1127
caffe2/python/layers/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/layers/__pycache__/adaptive_weight.cpython-36.pyc,,
caffe2/python/layers/__pycache__/add_bias.cpython-36.pyc,,
caffe2/python/layers/__pycache__/arc_cosine_feature_map.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_distill_lr_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_lr_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_mse_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_normalization.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_sigmoid_cross_entropy_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/batch_softmax_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/blob_weighted_sum.cpython-36.pyc,,
caffe2/python/layers/__pycache__/bucket_weighted.cpython-36.pyc,,
caffe2/python/layers/__pycache__/build_index.cpython-36.pyc,,
caffe2/python/layers/__pycache__/concat.cpython-36.pyc,,
caffe2/python/layers/__pycache__/constant_weight.cpython-36.pyc,,
caffe2/python/layers/__pycache__/conv.cpython-36.pyc,,
caffe2/python/layers/__pycache__/dropout.cpython-36.pyc,,
caffe2/python/layers/__pycache__/fc.cpython-36.pyc,,
caffe2/python/layers/__pycache__/fc_without_bias.cpython-36.pyc,,
caffe2/python/layers/__pycache__/feature_sparse_to_dense.cpython-36.pyc,,
caffe2/python/layers/__pycache__/functional.cpython-36.pyc,,
caffe2/python/layers/__pycache__/gather_record.cpython-36.pyc,,
caffe2/python/layers/__pycache__/homotopy_weight.cpython-36.pyc,,
caffe2/python/layers/__pycache__/label_smooth.cpython-36.pyc,,
caffe2/python/layers/__pycache__/last_n_window_collector.cpython-36.pyc,,
caffe2/python/layers/__pycache__/layer_normalization.cpython-36.pyc,,
caffe2/python/layers/__pycache__/layers.cpython-36.pyc,,
caffe2/python/layers/__pycache__/margin_rank_loss.cpython-36.pyc,,
caffe2/python/layers/__pycache__/merge_id_lists.cpython-36.pyc,,
caffe2/python/layers/__pycache__/pairwise_similarity.cpython-36.pyc,,
caffe2/python/layers/__pycache__/position_weighted.cpython-36.pyc,,
caffe2/python/layers/__pycache__/random_fourier_features.cpython-36.pyc,,
caffe2/python/layers/__pycache__/reservoir_sampling.cpython-36.pyc,,
caffe2/python/layers/__pycache__/sampling_train.cpython-36.pyc,,
caffe2/python/layers/__pycache__/sampling_trainable_mixin.cpython-36.pyc,,
caffe2/python/layers/__pycache__/select_record_by_context.cpython-36.pyc,,
caffe2/python/layers/__pycache__/semi_random_features.cpython-36.pyc,,
caffe2/python/layers/__pycache__/sparse_feature_hash.cpython-36.pyc,,
caffe2/python/layers/__pycache__/sparse_lookup.cpython-36.pyc,,
caffe2/python/layers/__pycache__/split.cpython-36.pyc,,
caffe2/python/layers/__pycache__/tags.cpython-36.pyc,,
caffe2/python/layers/__pycache__/uniform_sampling.cpython-36.pyc,,
caffe2/python/layers/adaptive_weight.py,sha256=0V_wORL2fPeQ2YMYHSKtgo0cBhPaf9yYy1rV2_jmZI8,5929
caffe2/python/layers/add_bias.py,sha256=f4PsAZpKo99Zgr3qifPoa7gAF08Np-lZHSdYSyj3rCs,1585
caffe2/python/layers/arc_cosine_feature_map.py,sha256=ja4eJsS36gs_3J5TSc6qpU0AnRIKzRkm_iwSCrWNes8,7669
caffe2/python/layers/batch_distill_lr_loss.py,sha256=xT2mkWsw1T4wXB6IqB388eAKVj-FL6qUjC72QYQyr84,7275
caffe2/python/layers/batch_lr_loss.py,sha256=_Gok7MTa9OaTQy7fI5zbiKGHUV73XD5Z2UmWwc3zWGo,8637
caffe2/python/layers/batch_mse_loss.py,sha256=PFodezr0FnetzmujolgDnN1hBZXx9xiUgQ7rbANWNg4,2621
caffe2/python/layers/batch_normalization.py,sha256=uRzwl7EJMieso-LttESaEEGRFvv1kBHdpa4Cho1aRJo,4032
caffe2/python/layers/batch_sigmoid_cross_entropy_loss.py,sha256=rsBvvl99W-fXba8AAElKQsRJa73EiNQNWCvt_ppolRU,1677
caffe2/python/layers/batch_softmax_loss.py,sha256=eQKzOZVPiXBuJH8ySc_HSAgxFYYb_deLsTKLmkL0H1U,4613
caffe2/python/layers/blob_weighted_sum.py,sha256=KG0jN_dwjGHjc4Zt-phDSWpykCploOnAycSTzBsDvow,2437
caffe2/python/layers/bucket_weighted.py,sha256=JAZCn61l1qKzB0Kk0h5zADrosQckgP_W1dmA_y0nKuk,2318
caffe2/python/layers/build_index.py,sha256=V2XvVIu7-WdBYINEF1cGSKtP-jn7fwpkkHgPnX9ovwc,2154
caffe2/python/layers/concat.py,sha256=FeArdOUyg75TKyfFyxByEHu8Rq1ikXujH3TWXMxAvjE,5133
caffe2/python/layers/constant_weight.py,sha256=6tCuI5pE8h96kfJnwGnZhaYmJBrJGYv8ksl8hJzf_oo,1397
caffe2/python/layers/conv.py,sha256=EWI1uHHEeFDQjVsmm_tUYSqZOZkesk_D9cYtuklr0jc,5330
caffe2/python/layers/dropout.py,sha256=3iiosNc5r-SajOSwu3ffl1N1rKPb27TO52RXJbUgIMM,1605
caffe2/python/layers/fc.py,sha256=VCbJKmwNaM_Rt_Qc2vIK45QwuFt1Wzriar-NP6Nhtdc,6854
caffe2/python/layers/fc_without_bias.py,sha256=rPy_ZtBsYg5igQPmdxmNVLrb7GgNLfeV0rfysMs7Ejg,2080
caffe2/python/layers/feature_sparse_to_dense.py,sha256=WhPq7bBI9EXoN7ILX_7X0tJfkghclx-mS-WBs8uYXYI,13605
caffe2/python/layers/functional.py,sha256=CzKRyj1-Yf3c0pwfvi1YyauZ-BjaTDpmDAdCQ8Mk3OE,5168
caffe2/python/layers/gather_record.py,sha256=YoSlK1fGvc8_H18BetujIyXKrB8LwZ8N7lBsX2nnO6g,3494
caffe2/python/layers/homotopy_weight.py,sha256=USrMGoZiKiBlasWF8VowMXlBo97AJkCSWwSAGp89zkY,4575
caffe2/python/layers/label_smooth.py,sha256=UBBmELBrunp5NzS82CKG-71GjxMC9hY-ZV1Ja47xCl0,3747
caffe2/python/layers/last_n_window_collector.py,sha256=yGunw1YA2ZR47WjucFCzGdmQuG2-mRREZcR8E1SKVek,2617
caffe2/python/layers/layer_normalization.py,sha256=9te8q_tEE3KpJAqAG3ZfsWKoslXTI21sPuVfVsdoHwA,4513
caffe2/python/layers/layers.py,sha256=nraJBnBY9RlBTmF8Zz4Fx76WoLXSCfQevEjcUX50HjM,16210
caffe2/python/layers/margin_rank_loss.py,sha256=m_rMpPrHMXAW4bF5nrvHGhjf3kItxb0oaVqBR8-3BZM,2158
caffe2/python/layers/merge_id_lists.py,sha256=wYEXqt75fb5HtC3idD4vCw8Iwq90S5b2_ugnc-2DSkc,1700
caffe2/python/layers/pairwise_similarity.py,sha256=0Klr-N5munwI3txjOqo9BhgHhL6aaQDB-vjarSmI0qU,3791
caffe2/python/layers/position_weighted.py,sha256=uhg3E0VC00IvqYJ0Gia2K5dDW4TDLYsagjVQaAxhhzc,2275
caffe2/python/layers/random_fourier_features.py,sha256=M4uBtl4T3KXLMobZar3N5EPGIPi2AUXByygawAUG4-Y,3421
caffe2/python/layers/reservoir_sampling.py,sha256=2x30QD4J0yEyA3HQLDzDKdPPjSO0wkWzaLjv2AJMfSk,3249
caffe2/python/layers/sampling_train.py,sha256=Ansny_KEP4PjfwdiWHNso-8-7JFvWYocnV6OsSf9cBw,2426
caffe2/python/layers/sampling_trainable_mixin.py,sha256=la2u_BARkS2tdfCmcKnvL0q32AGJZYg4lIrpH1Xb31E,1594
caffe2/python/layers/select_record_by_context.py,sha256=TJX0SJHvGz4M97gwP9GLrBzTI5Rk-gJZ_jEv8uX4xNQ,2602
caffe2/python/layers/semi_random_features.py,sha256=OWJAUjyv5q_6NmeMCvcIoGx0y8GUl1uam1t0Swtlnks,6098
caffe2/python/layers/sparse_feature_hash.py,sha256=_AxDbb4zxslbo4DybJK-pVrmoq5pjToHJXyj2aAKSiI,3868
caffe2/python/layers/sparse_lookup.py,sha256=Z-UPx0YvPboGAdxLmAKccZEdlMda182G9gyZ-LyHl04,16184
caffe2/python/layers/split.py,sha256=SvyW182Ew1c5TljucX2DWzBJrqYB4BaSTsjX62enMpc,1655
caffe2/python/layers/tags.py,sha256=JX-DA-UrzGxq-qoqnqwMMZ4bTLz1N9ScEWmH0zBQERU,4009
caffe2/python/layers/uniform_sampling.py,sha256=ZDsPs3JXjDrkiMYNYNmK3xr4cGfERoW1PDSj8oA_u1Y,3007
caffe2/python/layers_test.py,sha256=-TLGTC7r8InLykOhhiWwSn5fb0YH1F17pSC7YL4zVXE,81075
caffe2/python/lengths_reducer_fused_8bit_rowwise_ops_test.py,sha256=DpsiJA2LJoHPCAHGhFQse_DMBhog3R0XwCk11H9Qlm4,7740
caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py,sha256=Ba0w7VlU636e9ApPqYSTkDXjVsGqiyGz824uMyOo4Xw,6006
caffe2/python/lstm_benchmark.py,sha256=7dW-a3t8wPZ3MCT0o6vG6Qdw9VfK0nDFaabzbKh2m0w,11140
caffe2/python/memonger.py,sha256=LT1JevjX-l9heGCacLs1Jx5Stv6he_Ic2Ili612UgAA,35115
caffe2/python/memonger_test.py,sha256=tkvzCScs5IhNaPdDY_Kr2Cr47BjnjXBKmF5i3pqVGTk,34335
caffe2/python/mint/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mint/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/mint/__pycache__/app.cpython-36.pyc,,
caffe2/python/mint/app.py,sha256=9oMsehpdedpNI6YjuVarWEe3b0BULutxrEBT6BXtooA,5787
caffe2/python/mkl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mkl/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_LRN_speed_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_concat_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_conv_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_copy_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_add_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_elementwise_sum_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_fc_speed_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_fill_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_pool_speed_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_relu_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_sbn_speed_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_sigmoid_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_speed_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/mkl_squeeze_op_test.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph.cpython-36.pyc,,
caffe2/python/mkl/__pycache__/rewrite_graph_test.cpython-36.pyc,,
caffe2/python/mkl/mkl_LRN_op_test.py,sha256=OXhjNprzzBOW_AhI2-pFCjkpKMrQ95dsaowUerJ2GmA,1362
caffe2/python/mkl/mkl_LRN_speed_test.py,sha256=LmtmhMS3-PbC19LJV2unCm11gklgLr8eQsn1aIWqPZk,3411
caffe2/python/mkl/mkl_concat_op_test.py,sha256=DTwoHEZyd71_QwiIoeU9SFKGv_kOa1iogE8rljfP9ng,1363
caffe2/python/mkl/mkl_conv_op_test.py,sha256=Wb6yCDYynTdg6sD8iEO9W_5IMf1FiySVGYnNuVxTe2s,1892
caffe2/python/mkl/mkl_copy_op_test.py,sha256=qGV8eGM1IYpatw4WgT4btmyHSldVS_UjFDD2yjA7Prk,2362
caffe2/python/mkl/mkl_elementwise_add_op_test.py,sha256=Q5NM3jTwFw15ZjU4pxK4qcJrmCN8pJSLKo6iV9sKDgI,1387
caffe2/python/mkl/mkl_elementwise_sum_op_test.py,sha256=GI8tGXhInVGNDIK2144prGRPPk27MGmpA6x_2ApwgSM,1523
caffe2/python/mkl/mkl_fc_op_test.py,sha256=2qr1ZbjCdLYD3G1HE2ftBtqfnUQdUJKo1M4V-73uP0g,1119
caffe2/python/mkl/mkl_fc_speed_test.py,sha256=aJ1O9EqIAcZsxqd1i1Ffbny_eUKJ_ThXsRzOagG1I8M,4095
caffe2/python/mkl/mkl_fill_op_test.py,sha256=oS_up_QMOelGCHCauzSSg49I1toR0sTF5DmytGEF6Rw,1231
caffe2/python/mkl/mkl_pool_op_test.py,sha256=As6GzZuVq0swYDyrWfF-4sX9PnwEQVSmh58B9QTrDmE,1523
caffe2/python/mkl/mkl_pool_speed_test.py,sha256=PhhHvh8CbJ0VVlZABFr4VtHtDd6e4krL2KDNENJlRj4,4466
caffe2/python/mkl/mkl_relu_op_test.py,sha256=aKdoDaYbe-XNI_KMEHJ2BYaHp8N7h5efgNPNfVUWM7A,1169
caffe2/python/mkl/mkl_sbn_op_test.py,sha256=tUpu675tGbcYR12055CKvBTVLkb9ogTTcfSJqjQ9g_0,3347
caffe2/python/mkl/mkl_sbn_speed_test.py,sha256=cBfD1t1XqnnYCu4c1vUU_RrcLDZWQ8Tgy1mDnUqTmuw,4870
caffe2/python/mkl/mkl_sigmoid_op_test.py,sha256=b2YrnArWHg79Q5z2htkEl0Q6QonoWlLYR5V23J7h1M8,1010
caffe2/python/mkl/mkl_speed_test.py,sha256=i_7O0MkOsU7Nnaj9blpu-TCK_HCzhqG6_Tv9buhRCb0,3309
caffe2/python/mkl/mkl_squeeze_op_test.py,sha256=tKTm9r2GMnjYc1sYyjUINcGr-VsRuBg2QTHaHGEMcDQ,1150
caffe2/python/mkl/rewrite_graph.py,sha256=FkkdPzGkXMuTKpeAUxvCTKkoT5Tlico6efS78WDiiSw,8840
caffe2/python/mkl/rewrite_graph_test.py,sha256=JkWZrHUHp7D135uTefTERmF8XfMylxPTP59QVNer-es,8289
caffe2/python/mkl_test_util.py,sha256=0zAv7bw4p4mtrJf9r7UwKm-9uDRLFrSUDI1ZZR6pCMQ,1331
caffe2/python/model_device_test.py,sha256=Yeqf3Ki2wo-bxyPvT68eWefhoNHI8Og-NkbeDJQe_qA,4929
caffe2/python/model_helper.py,sha256=AubSdAh0ZLErY8a1RQ_B5yZooTaF1pbUsRojZMqX3ag,24281
caffe2/python/model_helper_test.py,sha256=HJEV9-AhkqMLi0fzOOodM4Ut0MZ1X5O_66N22NKG0Sk,2469
caffe2/python/modeling/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/modeling/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_histogram_for_blobs_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_norm_for_blobs_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/compute_statistics_for_blobs_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/get_entry_from_blobs_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/gradient_clipping_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/initializers.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/initializers_test.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/net_modifier.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/parameter_info.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing.cpython-36.pyc,,
caffe2/python/modeling/__pycache__/parameter_sharing_test.cpython-36.pyc,,
caffe2/python/modeling/compute_histogram_for_blobs.py,sha256=yAXGQIVtzqQApPfPAv6LTlzGJLAgSOhwmriab5jqFdc,3772
caffe2/python/modeling/compute_histogram_for_blobs_test.py,sha256=56PUnCe5uD2vaFYpAmzL0JPeY-DWWDslt5Qt2b4liNY,5211
caffe2/python/modeling/compute_norm_for_blobs.py,sha256=Pn3J5Vzfh2XJX1IhmknbC8-9I2LXbItW4Y95uKD9Io0,3130
caffe2/python/modeling/compute_norm_for_blobs_test.py,sha256=g9h0-vUlBLMjvZTISs_ms0lg_25iixldtksrS23ZFRc,7298
caffe2/python/modeling/compute_statistics_for_blobs.py,sha256=DRRwkgFbklAlHCJYRIIIX0vJfYHoCbPF6XSRyzdhOVo,2135
caffe2/python/modeling/compute_statistics_for_blobs_test.py,sha256=BV1yKgbFwaQmZhaHge_P7FT1CPJX-H-MQSvcn6womYA,3099
caffe2/python/modeling/get_entry_from_blobs.py,sha256=--wD0UaVi3btigo2X9XALMeuazra6H-4XDH_rqQbJMU,3385
caffe2/python/modeling/get_entry_from_blobs_test.py,sha256=d9xAC0xxMQ9RQC5uVhHKhu7h2SaNhicVIh6Zk-QdVPc,3778
caffe2/python/modeling/gradient_clipping.py,sha256=AKDT6hqaDQVIVxxSgt_PpzclFrshgBOEO2F2WO7SseE,6063
caffe2/python/modeling/gradient_clipping_test.py,sha256=KEtb7VMwKvS309Kdw7ku7ofmnTueIlL4AMzwKBHL4lA,10432
caffe2/python/modeling/initializers.py,sha256=SH65sh6Gu2YOSFKCId84zFkxHRopgKClFDfwYK3JX48,5691
caffe2/python/modeling/initializers_test.py,sha256=shB_z9XMVV06f-LCuO9QZxJIxqFgIGOduEbMAhjuEbo,2307
caffe2/python/modeling/net_modifier.py,sha256=SJwEGfrZrWAnSVSSSnY5F23kTuSrketfkig09KUc84M,1032
caffe2/python/modeling/parameter_info.py,sha256=mQ4i7I3z14Jo4AFMhOgcf4ztmIWIMgOfXx7eH68GH7M,1637
caffe2/python/modeling/parameter_sharing.py,sha256=xVWK81_IU8uyviMkn25uRxo-1HlWBpwde27_h32-rOA,4110
caffe2/python/modeling/parameter_sharing_test.py,sha256=PbfiJJ_Hf7GGty-DXozCcOAYrr67WwM67yuC1zb3JQo,7523
caffe2/python/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/models/__pycache__/__sym_init__.cpython-36.pyc,,
caffe2/python/models/__pycache__/download.cpython-36.pyc,,
caffe2/python/models/__pycache__/resnet.cpython-36.pyc,,
caffe2/python/models/__pycache__/resnet_test.cpython-36.pyc,,
caffe2/python/models/__sym_init__.py,sha256=iV7_pNt3I3eNDd9WCC7jNbtbLktQg2f4lx3fAN_pAHk,659
caffe2/python/models/download.py,sha256=R9hTk8j5nCfKEZ0puJLYm4ubSzK9K-HUBJ7Xvy_pRsM,8605
caffe2/python/models/resnet.py,sha256=TLW0DEN-Q7vNpCarRP1peq2pjygMZHocAfHie30gLYE,12511
caffe2/python/models/resnet_test.py,sha256=ub0FYeFs1ey7bwcO1YaqU-cxP5QRVW3-WYRJMX5N57Q,7397
caffe2/python/models/seq2seq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/seq2seq/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/beam_search.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_beam_search_test.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_model_helper_test.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/seq2seq_util.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/train.cpython-36.pyc,,
caffe2/python/models/seq2seq/__pycache__/translate.cpython-36.pyc,,
caffe2/python/models/seq2seq/beam_search.py,sha256=V4cQ26wf9ILPp1CB4aV4QwEQV_CQKDkRwuTluq4g8Yg,17674
caffe2/python/models/seq2seq/seq2seq_beam_search_test.py,sha256=BOy0Zu9Ns4XaKbklatXaAuZldCoVi1iliTM5QJHn1oM,6736
caffe2/python/models/seq2seq/seq2seq_model_helper.py,sha256=DcAvLb8xYds2SPz7bM8lO_M5-wQpeh24D2Ct8lDKfoM,2892
caffe2/python/models/seq2seq/seq2seq_model_helper_test.py,sha256=CmmaUDiiSpmUMbPBfSkBlzhpX9SIL-xFaB5VuY0XIqY,2053
caffe2/python/models/seq2seq/seq2seq_util.py,sha256=JcSEO5oGcOv9-AQMLeOj4LrSSQTGwW4RE-1mDDHT1vc,21050
caffe2/python/models/seq2seq/train.py,sha256=a3EJiPH7G87ZyrKJW0yAr7-3_TLtzGbpoJJs-z8oS3U,28432
caffe2/python/models/seq2seq/translate.py,sha256=Mvgtjo6lDZs4FMHM3NSkL0zRRAf2vcN5ANFQr7-OJbg,24957
caffe2/python/modifier_context.py,sha256=UEs3dcvtfRcSDwcd5vMwQhmlzdf9WuNCUWN9PxksNcI,1985
caffe2/python/muji.py,sha256=q7FFNxqw5AJGAxwbafnDLsiyxJBa_brqXwDLrJkRFSI,8395
caffe2/python/muji_test.py,sha256=a1DMO3fYKLFzn1b-GjT7HSfB3cuSWxRyc1pVypDPwTk,3140
caffe2/python/net_builder.py,sha256=6LKCw3NTHpBe9cDZcg2X6ZkpCYHlp3fXIV4E0uZf60Y,28532
caffe2/python/net_builder_test.py,sha256=1Cp_K3028Tjdi859GPW-pT5IB_sNDEX0t0yHIoa6lWk,11859
caffe2/python/net_drawer.py,sha256=lkMGkgRDhFRxot-p7g63_U4gXId3WFUjE0Bdi-HrKZ4,14820
caffe2/python/net_printer.py,sha256=Yh_Q7FENcvEIrQK_2s02ugU6W5yYE0Yro7yNrNhy0B4,13270
caffe2/python/net_printer_test.py,sha256=2l2g6s04znTujHtVquovH0S0thtXq37klMCy_1eKD3M,3434
caffe2/python/nomnigraph.py,sha256=7RLupRCRlkLBL69Enb8mVORZ7L6tW_XW_pbxOyCDKhI,4487
caffe2/python/nomnigraph_test.py,sha256=3BgQRmp1Da8W71eySXV2CSvWppYKOZMdibtUbrThXfE,16026
caffe2/python/nomnigraph_transformations.py,sha256=KSKyJ-f7NL2TiqjffziLZFJ806Yw_LapPXQU0pgJlAI,3957
caffe2/python/nomnigraph_transformations_test.py,sha256=C-L4036-baJIBYnBvVDGHUBRg0h1XcAxRt8uzXOSK0o,6056
caffe2/python/normalizer.py,sha256=2oH6Zt45MKkRwh-w-fWbf-6spv-ySSB8PP71gcWOAwQ,1295
caffe2/python/normalizer_context.py,sha256=ScKK-ht-trxzh3nB0UXjbKqTPMHVSFXC-iWrjF5xFUs,1211
caffe2/python/normalizer_test.py,sha256=2LDOehCPOmm8BmF9HTKh32yOAi8TUpXLkuHwTJZuZY0,608
caffe2/python/numa_benchmark.py,sha256=oDwePSvyR6argXelhMd9upqS-lREIRob6Wmobc7S39I,2405
caffe2/python/numa_test.py,sha256=0CcyH2ZTLkOj5zmAUn2fiADuCne_TqWyszDsEXHLR4c,1822
caffe2/python/observer_test.py,sha256=rz-yuvPc5-RT84_PKOAEQPzkkXN5KDU6FufXZa_56F8,5575
caffe2/python/onnx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/backend.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/backend_cpp_rep.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/backend_rep.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/error.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/frontend.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/helper.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/onnxifi.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/test_onnxifi.cpython-36.pyc,,
caffe2/python/onnx/__pycache__/workspace.cpython-36.pyc,,
caffe2/python/onnx/backend.py,sha256=2DDK5CbvU9TLB2g8YDEBywn01QEm1CQpas1CZZXghKY,40816
caffe2/python/onnx/backend_cpp_rep.py,sha256=0xyCx9VyzHPjiZelzbuIGkSFwdZ3tyGK3jJI5uYRGrk,2060
caffe2/python/onnx/backend_rep.py,sha256=UxdN7pljDO6kLRGwK0ByiYxTgJH2O8BMMOLwMjw5lJg,2894
caffe2/python/onnx/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/bin/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/onnx/bin/__pycache__/conversion.cpython-36.pyc,,
caffe2/python/onnx/bin/conversion.py,sha256=qsgQeZqgY0jGN7Q217_ekaNCUfqDWYpsIYTrcN7Jbuk,3070
caffe2/python/onnx/error.py,sha256=OCYAY5z1wELEZKSuJxQptIdLfvnvhPOXH6y3JSBTcnA,284
caffe2/python/onnx/frontend.py,sha256=KF5uGh3qIwGA_I1B05APoVBx0ukwgxtFZ95h1yoBSfM,13557
caffe2/python/onnx/helper.py,sha256=TKgDu0uYD0I-L2CVwe9mRTu75fgRMFqKKcDiebhuxMw,4483
caffe2/python/onnx/onnxifi.py,sha256=H5dfGkDCD-C86rg1wTlArGiH_zknyVjOuDYZ8h50Jr8,1301
caffe2/python/onnx/test_onnxifi.py,sha256=mTsyKVsbNvW8JElgXHqx5tdQgzqVIEKlm49Q8_DJFCU,8113
caffe2/python/onnx/tests/__init__.py,sha256=ilLLqJyLuc7kwdkg-Lvy-Tki0dz6bBIKJf5HKTl-92A,153
caffe2/python/onnx/tests/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/c2_ref_test.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/conversion_test.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/helper_test.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/onnx_backend_test.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/ssa_test.cpython-36.pyc,,
caffe2/python/onnx/tests/__pycache__/test_utils.cpython-36.pyc,,
caffe2/python/onnx/tests/c2_ref_test.py,sha256=y36g-MSQh-Z8ysUlNImmDdQyLTk-BqqRI5zm1g7y_q4,29705
caffe2/python/onnx/tests/conversion_test.py,sha256=swp_y50bpds9n82HZIUwj8bt7mlccj3FIN-jQTFyYkE,15508
caffe2/python/onnx/tests/helper_test.py,sha256=A1YBiEOWwcqBKQ4chGuodDiArAKPuMuwAAtJUrHZs2A,986
caffe2/python/onnx/tests/onnx_backend_test.py,sha256=Gbur-SnGkY_HBihBnbxZhkXaHJrw8VylkHrhexs1FaE,5348
caffe2/python/onnx/tests/ssa_test.py,sha256=eao6pnhysOYFvbPMbM76xuojcvYTN3fzZ3A7DN9H5Po,4316
caffe2/python/onnx/tests/test_utils.py,sha256=nZZ_qmbj_lnlhn42geJ-D8sZyuJLVsBIs_esMF_LLng,974
caffe2/python/onnx/workspace.py,sha256=q6qMctbtWZoVJfq7N3s0eoB29a8AFG3Z_5xYGnLzNrw,3219
caffe2/python/operator_fp_exceptions_test.py,sha256=sD7GJYbWzx8cT6KdAoMua940VlGLO8aYW2UTdqOIw_0,1431
caffe2/python/operator_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/operator_test/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/activation_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/adadelta_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/adagrad_test_helper.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/adam_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/affine_channel_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/apmeter_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/arg_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/assert_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/atomic_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/basic_rnn_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/batch_box_cox_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/batch_bucketize_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/batch_moments_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/batch_sparse_to_dense_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/bbox_transform_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/bisect_percentile_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/blobs_queue_db_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/boolean_mask_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/boolean_unmask_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/box_with_nms_limit_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/cast_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ceil_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/channel_backprop_stats_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/channel_shuffle_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/channel_stats_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/checkpoint_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/clip_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/clip_tensor_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/collect_and_distribute_fpn_rpn_proposals_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/concat_split_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/conditional_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/conftest.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/conv_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/conv_transpose_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/copy_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/cosine_embedding_criterion_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/counter_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/crf_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/cross_entropy_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ctc_beam_search_decoder_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ctc_greedy_decoder_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/cudnn_recurrent_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/data_couple_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/dataset_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/deform_conv_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/dense_vector_to_id_list_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/depthwise_3x3_conv_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/detectron_keypoints.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/distance_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/dropout_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/duplicate_operands_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_linear_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_logical_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_op_broadcast_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/elementwise_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/emptysample_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/enforce_finite_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ensure_clipped_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ensure_cpu_output_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/erf_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/expand_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/fc_operator_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/feature_maps_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/filler_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/find_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/flatten_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/flexible_top_k_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/floor_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/gather_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/gather_ranges_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_byte_string_to_uint8_fill_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/given_tensor_fill_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/glu_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/group_conv_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/group_norm_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/gru_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/heatmap_max_keypoint_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/hsm_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/hyperbolic_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/im2col_col2im_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/image_input_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/index_hash_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/index_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/instance_norm_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/integral_image_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/jsd_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/key_split_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/lars_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/layer_norm_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/leaky_relu_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_adaption_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/learning_rate_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/length_split_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/lengths_pad_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/lengths_tile_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/lengths_top_k_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/listwise_l2r_operator_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/load_save_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/locally_connected_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/loss_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/lpnorm_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/map_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/margin_ranking_criterion_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/math_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/matmul_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mean_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/merge_id_lists_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mkl_conv_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mkl_packed_fc_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mkl_speed_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mod_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/moments_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/momentum_sgd_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/mpi_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/negate_gradient_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/ngram_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/normalize_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/numpy_tile_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/one_hot_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/onnx_while_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/order_switch_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/pack_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/pack_rnn_sequence_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/pad_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/partition_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/percentile_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/piecewise_linear_transform_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/pooling_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/prepend_dim_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/python_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_speed_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rand_quantization_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rank_loss_operator_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rebatching_queue_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/record_queue_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_net_executor_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/recurrent_network_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/reduce_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/reduction_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/reshape_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/resize_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rmac_regions_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/rnn_cell_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/roi_align_rotated_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/segment_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/selu_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sequence_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/shape_inference_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sinusoid_position_encoding_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/softmax_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/softplus_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sparse_gradient_checker_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sparse_lengths_sum_benchmark.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sparse_normalize_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sparse_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/sparse_to_dense_mask_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/spatial_bn_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/specialized_segment_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/square_root_divide_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/stats_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/stats_put_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/string_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/text_file_reader_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/thresholded_relu_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/tile_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/top_k_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/torch_integration_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/transpose_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/trigonometric_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/unique_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/unique_uniform_fill_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/upsample_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/utility_ops_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/video_input_op_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/weighted_multi_sample_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sample_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/weighted_sum_test.cpython-36.pyc,,
caffe2/python/operator_test/__pycache__/wngrad_test.cpython-36.pyc,,
caffe2/python/operator_test/activation_ops_test.py,sha256=v57yigUWBPl_cQ4X8QzrjypGpg0jp37DXglkIpijCQI,8667
caffe2/python/operator_test/adadelta_test.py,sha256=3tHjF4I-_opwRlT8q4UoMOWhka2fYuHJDitVl8iFmNM,8071
caffe2/python/operator_test/adagrad_test.py,sha256=yMndCxkPkuWD8yPfHcW8U26fTSxDu7eLICTpuAZc2mc,7118
caffe2/python/operator_test/adagrad_test_helper.py,sha256=p_I-9SQ_PBZPqWU4nx-93k-IHZcx8Rk2mVsPiAqzK8g,4558
caffe2/python/operator_test/adam_test.py,sha256=KI1cYRwoS_H-oXeFiaB6WmmzxHfNE9Lz4-6_eFxP-Dc,17335
caffe2/python/operator_test/affine_channel_op_test.py,sha256=0QamhWCUoKp852fbzxdJzBBiifvFSyHYAQ4WjPa2iMc,3958
caffe2/python/operator_test/apmeter_test.py,sha256=OyBPWV28ql7C5CzXWNbASj_irWPL-gm90AQc_tpZ68k,2967
caffe2/python/operator_test/arg_ops_test.py,sha256=TeuNxpTxH-8KFJEH3AiJGhTJJ_kNXpW8-Km7xioFBW0,2069
caffe2/python/operator_test/assert_test.py,sha256=SO5L5pvLKS6LhopVoNoImHZ9PJxlTBBO1KHG-v6eRDo,891
caffe2/python/operator_test/atomic_ops_test.py,sha256=2HfpFl5UGd_ln1CUqYR2_WfgrD88X1DSSvfu27trWqk,2256
caffe2/python/operator_test/basic_rnn_test.py,sha256=cwXpp-9u1OGl-KHoNmFwpv9KGiO_SYFf3qsRSoISECU,5002
caffe2/python/operator_test/batch_box_cox_test.py,sha256=C7_x8FMFS6QvT_4Y8OPn98TLqsgw9b_Yw5hwEDq60KA,5239
caffe2/python/operator_test/batch_bucketize_op_test.py,sha256=W02M1CNMuG0-My6VMdbHuPOptpDMWFO76fUg-6JkOrs,3965
caffe2/python/operator_test/batch_moments_op_test.py,sha256=BVbiahOVRRuUf17097zqq3hV4tI-IbcRcDztemuVL3o,2952
caffe2/python/operator_test/batch_sparse_to_dense_op_test.py,sha256=2zSOHFD0_14znPv5OYhH2aFQwCXJehRM-laIxbC7MSU,3909
caffe2/python/operator_test/bbox_transform_test.py,sha256=IC4WE8AG2SFAIlkSdQSCwX7iCJ-PyI5g-XrXO9EA-TM,12696
caffe2/python/operator_test/bisect_percentile_op_test.py,sha256=5R8MFoxPRfANOUAJJPlf_apgyb-PoBMBEhPQULz3qGQ,6554
caffe2/python/operator_test/blobs_queue_db_test.py,sha256=r5pey00t5_1NjdNccqiRTkYySP70ONgo-k_B1g1taJs,3495
caffe2/python/operator_test/boolean_mask_test.py,sha256=XSHNR66VFcYouM0vIMDV3vo3XQ5F5WRyDbd_cSGR6uc,16082
caffe2/python/operator_test/boolean_unmask_test.py,sha256=IN08JEqHMPYmLtNicAtkfQszJlpfYfF6-sNbGBAujGY,1918
caffe2/python/operator_test/box_with_nms_limit_op_test.py,sha256=vAK1YiF36kBlQV_6FGbBs7rqYr6F8fMNyRmTdATIXT0,7744
caffe2/python/operator_test/cast_op_test.py,sha256=q_OCQS1N8jKlsB3e7iLm47yoBtXWmsue1jzC-gUJTks,1793
caffe2/python/operator_test/ceil_op_test.py,sha256=yK-n5jKO7tEH7kiAy53S_mw911JWjUZkGQ5T1oJY0vQ,1038
caffe2/python/operator_test/channel_backprop_stats_op_test.py,sha256=ZbAR5P9G-M_qFnz0P_b1HA1FjHlnEaLnJf0PytGIsOk,2312
caffe2/python/operator_test/channel_shuffle_test.py,sha256=USeS_m2HmPj368sO7N5vtPFaBGZ3Z9r0ZPa39gxQFsM,2038
caffe2/python/operator_test/channel_stats_op_test.py,sha256=kY7lcQnaAP3quTwtRO1tMu-WhdRfy9Je2guskTpyWm8,2782
caffe2/python/operator_test/checkpoint_test.py,sha256=zkBFiT3YVlqKNEanz0YkMyNPxnnpDUSwy-RHss7E2i8,1609
caffe2/python/operator_test/clip_op_test.py,sha256=mGwnYQ8EhRea0TL4hiKmei3JGwGX3sHkqjzCfGcG45c,2163
caffe2/python/operator_test/clip_tensor_op_test.py,sha256=cPikM3GfFXMO6Q4eoL4dfSeZrlsleDa-k6LrACnoNBA,2220
caffe2/python/operator_test/collect_and_distribute_fpn_rpn_proposals_op_test.py,sha256=lV4pezNxVOCxg6aNDQvO1P8Z63waP88HGcY8BGFy8wc,8052
caffe2/python/operator_test/concat_split_op_test.py,sha256=ZDV3kb1nmjDw5-WC_UTEDI8QqT9b3o4nlAywZI_PCDk,6450
caffe2/python/operator_test/conditional_test.py,sha256=zHPC_r46r8sKiE3QaF1i4pTmpdGV8MuL9u-YdCETwHQ,1130
caffe2/python/operator_test/conftest.py,sha256=0482wKolH5x0-a_TwFGmoh1XYOoSDoWmh7Ja5gg61SY,1639
caffe2/python/operator_test/conv_test.py,sha256=ygAowsG9uYKtIFlPmgUm5Kdpy1dPPLcEki9Y28DetHA,33203
caffe2/python/operator_test/conv_transpose_test.py,sha256=Abk2tpqRkTHmrGubGhcVvd1U9Mkf_A1QNJhqGsD7tzY,16430
caffe2/python/operator_test/copy_ops_test.py,sha256=WrdtW0feWbwBHbewxzKJv8Y3-KBMgFnKZwTekYu_siU,7707
caffe2/python/operator_test/cosine_embedding_criterion_op_test.py,sha256=wSIhKpqJyM1X8MajwCnmX6bA8db8fVysUsK5qdC2I3U,2178
caffe2/python/operator_test/counter_ops_test.py,sha256=9CRtwn07vWJW8caMlwLLSD34k6USfzWAJH9dO1NgFak,3577
caffe2/python/operator_test/crf_test.py,sha256=ZJo5b8wDjcQFet6_JaKpocDr2bhyq8uB7-phiAHkyZM,5542
caffe2/python/operator_test/cross_entropy_ops_test.py,sha256=jejasKmcTiFSeuoD8jM30UZlknKQdoh2ytPOn2YqaM4,10586
caffe2/python/operator_test/ctc_beam_search_decoder_op_test.py,sha256=VV06AWO6-KD_n5js0mSgEi6CJXEQORtb3TEi8fL5DPg,4808
caffe2/python/operator_test/ctc_greedy_decoder_op_test.py,sha256=-ttctwiX5RXt6pQyHh1pcat4QPnLdJ3JXWHZN-LuIaU,4974
caffe2/python/operator_test/cudnn_recurrent_test.py,sha256=sR4ujK9IFfwckQp9SaAJ3W1znkBGbQq5KytBGWhyhaw,6151
caffe2/python/operator_test/data_couple_op_test.py,sha256=B0jj67DLf-S7pLGRWGEKPgQlIsYcX1Cn88E_ZNVmr90,1033
caffe2/python/operator_test/dataset_ops_test.py,sha256=kGJpCsn_1AhY9oTlEAyv8iKytmQ6G-VpeNdj0tAFlog,22979
caffe2/python/operator_test/deform_conv_test.py,sha256=y6BAy085YImCVW3w5fX3E02ONqgJxg7SqABtCUf3IK0,19954
caffe2/python/operator_test/dense_vector_to_id_list_op_test.py,sha256=gIAsiQg4R7wggBh-wDQaMOm7ZYWuj7cBnj5NI_jh9BA,2255
caffe2/python/operator_test/depthwise_3x3_conv_test.py,sha256=MhIHWMl8tXAlUgPOHQXl5l98jUMfl-lQ_3_2qlOomcM,2042
caffe2/python/operator_test/detectron_keypoints.py,sha256=DR5TD9_FmzwYc3P71K2wOBkY5uBRNCoo5X32vE4wLmE,8321
caffe2/python/operator_test/distance_op_test.py,sha256=z_gCqMOvQO8vr0T6MFakEV8YvjLzUCVkg-4F0UfYCoM,4634
caffe2/python/operator_test/dropout_op_test.py,sha256=YxlMJZKmnzCoagub4aMK6asTqsV2j-ruZ-ZvcZbeEBU,3151
caffe2/python/operator_test/duplicate_operands_test.py,sha256=_EIwKsQ72v8S-Yk1UCgCmlqMtpR87pjd7OA9oBKDV70,907
caffe2/python/operator_test/elementwise_linear_op_test.py,sha256=pfLK3KDpOmnuzi0h3VsG5g4vRAGdoxXbmTV0sjTQxVo,1603
caffe2/python/operator_test/elementwise_logical_ops_test.py,sha256=yyFRQr8JOa1n5-LUI-SBoElVlxaQx3piFsz42i7VkD4,4810
caffe2/python/operator_test/elementwise_op_broadcast_test.py,sha256=MefudospGPxEEZ2fMzmq1WPukn-XWQqMo3qXFpxu99U,16701
caffe2/python/operator_test/elementwise_ops_test.py,sha256=QwL6AT9r3MRk28EDM1PZpaEKCoXJ44v1caR7KjMPLBI,22829
caffe2/python/operator_test/emptysample_ops_test.py,sha256=ElqXHuKNP8C0a9fPSLddGER7eL1Vp1Su2dMvNIR4SbM,2185
caffe2/python/operator_test/enforce_finite_op_test.py,sha256=kVtgoQuH5HDi8fUD9qi3jy4LkGt1Dd_reZ9kFf2nyjY,1479
caffe2/python/operator_test/ensure_clipped_test.py,sha256=mr6IzX1rwVHtK2eqARZ4mdljJdsRSRQ5ZFKHFdyA9K8,1630
caffe2/python/operator_test/ensure_cpu_output_op_test.py,sha256=m8gq_GgeVC2qwzYBjRcFD4Q25Gn4GAh8iu5THXaHZS0,1440
caffe2/python/operator_test/erf_op_test.py,sha256=2ucaMeaBUJniZXxg2kFGTeEGFctbi29j1O2AceodhKQ,931
caffe2/python/operator_test/expand_op_test.py,sha256=JCxOOhHCsPWy8KzeraWLnHWvmfeO0a7urjSjzVcCeY0,2289
caffe2/python/operator_test/fc_operator_test.py,sha256=NA9VJnTGokVFUQk17U3ugtUzREOE3mnQH14lNVSR5YE,4083
caffe2/python/operator_test/feature_maps_ops_test.py,sha256=8KK81j0vBkGhmDe737ic_6ltIW1Kx7iaMW6YwgL-y20,21167
caffe2/python/operator_test/filler_ops_test.py,sha256=G5LkAbgxEzseN59i8YP9xBdv-8hROCLKNqFlssGduRM,7274
caffe2/python/operator_test/find_op_test.py,sha256=rMKrYRiGckOw1c4WF1WxNlaZrbEmCJVH7pYHbTklN6A,1448
caffe2/python/operator_test/flatten_op_test.py,sha256=7n8IUiHuptEI9exYb7ShmnCRez2ioNim-Yj7CkRNdAI,1105
caffe2/python/operator_test/flexible_top_k_test.py,sha256=XdXamfVTGiKx3sab9uVe3BJDOEmcxupxqCtqWljBV5w,2766
caffe2/python/operator_test/floor_op_test.py,sha256=YsSzRho5hw7cZP4veWezxL8NCj7K57vqq9YQ4FdXvJM,1044
caffe2/python/operator_test/gather_ops_test.py,sha256=F94j00SG_T7IHjQmBsBiUukD7tqTSjQs9RVJlpUnCHU,5322
caffe2/python/operator_test/gather_ranges_op_test.py,sha256=t8V7LHgttU5V9zbgvPbB_kgn02LHpXjvWewKlIbm3Hc,6929
caffe2/python/operator_test/given_tensor_byte_string_to_uint8_fill_op_test.py,sha256=4Daq2ssQTRI0UiMmWivWdUm3vvmCbvG1y33yPpZHRfk,1590
caffe2/python/operator_test/given_tensor_fill_op_test.py,sha256=Sq-a50vKUaX4Sb5N7UizPjhKSzIdSvmsW6ARCxvq-Yk,1622
caffe2/python/operator_test/glu_op_test.py,sha256=beHlKa7ki1swKtxpfiCM8aqi8SpVSog6MiFnXzf7B_Y,1399
caffe2/python/operator_test/group_conv_test.py,sha256=HQkLUCPCzNf4R2iaBOT-RBnb-jmkhReAV9eet7WzZeI,3081
caffe2/python/operator_test/group_norm_op_test.py,sha256=Jdpen-qj0T8ttNVD-is1mTDXg-4ZsvzeRuBVoFV9ySc,5470
caffe2/python/operator_test/gru_test.py,sha256=Qx4qFD0PJEwu2jpJGr0ULRxa4xsA93rdKfRv1-5vfYk,13497
caffe2/python/operator_test/heatmap_max_keypoint_op_test.py,sha256=rv9JLUveCCsqG1xaCtPqerdqdVV0sgUTRh58FE1zZ3M,4554
caffe2/python/operator_test/hsm_test.py,sha256=Y5jXt0EHbx7kywzwZHOA2_Jyss7NMIqRxmaUR_CEAvM,9812
caffe2/python/operator_test/hyperbolic_ops_test.py,sha256=Za7a5Pip0pIQkRcGuz1O4XmRFhMmFd5w7O53xiR0X5E,1611
caffe2/python/operator_test/im2col_col2im_test.py,sha256=te9_T1kPwucsECz2QhO7VTs4djCyOwU-uv7AraxFPVA,4583
caffe2/python/operator_test/image_input_op_test.py,sha256=5E-O82F2dVvA6nluh3YVqYTa-fTmH9NwkD9a8vKk3gA,17861
caffe2/python/operator_test/index_hash_ops_test.py,sha256=JHH75e6FWm4zlRdUBE25g0hZ2ftqvyhEYiR5hUVEA8M,2748
caffe2/python/operator_test/index_ops_test.py,sha256=KQ8-MFzo6ShvlkPHEyExYe89GCuwrBCcmg5X1pJSHIU,4879
caffe2/python/operator_test/instance_norm_test.py,sha256=J0Tzi16fuYa2LZ0dLlwGejKFNuHInLfVryhqRovSW4I,9952
caffe2/python/operator_test/integral_image_ops_test.py,sha256=Qb9nBeAy-qItsijdD6jWNkrcAFs8-ghNJXlXV8xH1rI,3533
caffe2/python/operator_test/jsd_ops_test.py,sha256=4b_8B2MYi8bvIg9v_hwk34iD0eO0qhfTSW2hkLjlxC4,1260
caffe2/python/operator_test/key_split_ops_test.py,sha256=QiWIKr2tTZjtx6AXm0miQabJaECv4Uwdc_NFnrCzqMA,1479
caffe2/python/operator_test/lars_test.py,sha256=Zdk6-xLso3YUe7BAwnb5eh95F7u3n-_mpf_g7FImVnY,1544
caffe2/python/operator_test/layer_norm_op_test.py,sha256=4SQlR0JjCcWs6zTzPgoU7_mCygiH3VoRL55sYQLmfRo,13026
caffe2/python/operator_test/leaky_relu_test.py,sha256=alCC34qmeswvL7Jffvi5ZWn3N0TJGBqhGPu5sz8usLY,5922
caffe2/python/operator_test/learning_rate_adaption_op_test.py,sha256=K0KXNrruf25q-4ogqmbz-CfrZsSwZyKOh5BGMqXYKIo,3013
caffe2/python/operator_test/learning_rate_op_test.py,sha256=83CG8cQ4ZcvjAiet-oZd_4oI70ZlV6dkXmHyUjBo5yE,6772
caffe2/python/operator_test/length_split_op_test.py,sha256=PA1LwHB5WLADido69u4daZ8heRmgXaAH5mWRWV8UaMo,5012
caffe2/python/operator_test/lengths_pad_op_test.py,sha256=7fBRNPkTeSLcUqXQoVNC-2HEOvjDIgaQ_td6DBG1ICc,1857
caffe2/python/operator_test/lengths_tile_op_test.py,sha256=oEoUCygDO2BdCa36Dqh0HwLdnmPyf5YQbc8YG9Lw_tk,1558
caffe2/python/operator_test/lengths_top_k_ops_test.py,sha256=UUiRseuLSVuGY57ib2WKsV-eY7zzGEPRi3MnUY_QsS0,2583
caffe2/python/operator_test/listwise_l2r_operator_test.py,sha256=pmVIp6vJyODWL_owye2emwc4YXVXc1pjQu-T5q1xswI,5724
caffe2/python/operator_test/load_save_test.py,sha256=EtH1FrbFQogZ8f3tA0paWGdUUWaIcSFiS6C5PwU3CZE,19315
caffe2/python/operator_test/locally_connected_op_test.py,sha256=gUljcyciwdZX_f7qopaNrV4zuy3QZBCsT7gGVzvoZtE,7892
caffe2/python/operator_test/loss_ops_test.py,sha256=DP2hd6CodaNi7JhMpdfWA37unGrM_JdhKwJ1T1iIEcY,1118
caffe2/python/operator_test/lpnorm_op_test.py,sha256=dSEGixpxPKRLN6oPOYslJF8cA_E5mrzrmjYRMvK9XWY,2930
caffe2/python/operator_test/map_ops_test.py,sha256=2aO48k_NIaKExeCAKEtswsWShvtMpfrgJJ4uTqix7Wc,2464
caffe2/python/operator_test/margin_ranking_criterion_op_test.py,sha256=iXi0KQ4mFRcErGkfLqc-V00YINQsOpK0trpvuYuaqCM,1980
caffe2/python/operator_test/math_ops_test.py,sha256=wpsCC9xVlZP3E4j_1eZJS1fdks8xd5hIJUTqp1yzF_Y,1553
caffe2/python/operator_test/matmul_op_test.py,sha256=NDkWqNfbtu_GzdcmP39WdG0niWHhtGbs6LjGf8GqKSU,10642
caffe2/python/operator_test/mean_op_test.py,sha256=KPT7auFhq1ZBuwNNv1UoP_Alo2Ghh1p0i3vGgEiyoM0,1710
caffe2/python/operator_test/merge_id_lists_op_test.py,sha256=xxqh00c6mIBlCCDIzT8y5WWrTy_5OZodNSFuow2Yvg0,3215
caffe2/python/operator_test/mkl_conv_op_test.py,sha256=9t_kzEMxqFDuxg1UopW7TUiu61OtDELukvPSBQSLnm0,1742
caffe2/python/operator_test/mkl_packed_fc_op_test.py,sha256=xsc8jWf7deXw5e138gr0OQ4AHVH0P9CMmbTWkIfZ_V8,2868
caffe2/python/operator_test/mkl_speed_test.py,sha256=_FL1LgugII6PJ0Zc0puSQx1hPgjsEEvC6B6duXouR84,3504
caffe2/python/operator_test/mod_op_test.py,sha256=-s2B4UqSvmKHLwnhS_oUyVS9n6CEjXUjNqoDrklE1z0,1630
caffe2/python/operator_test/moments_op_test.py,sha256=U7JC0h3WZN_e8ScCsKbDcvuyF7e6nxJhVADc0jhkHJY,1950
caffe2/python/operator_test/momentum_sgd_test.py,sha256=Gfck4FVYX7gvE_OQXFsKBVaOUIJHuGc9amLYM8sju80,6668
caffe2/python/operator_test/mpi_test.py,sha256=g9fQ2cDo2pOpRQhSOPHjs4dAU6Cnhck8vdYQYdb7rNM,8454
caffe2/python/operator_test/negate_gradient_op_test.py,sha256=RBPecjJaKmnhSYIRRI-bZD2mCCxe3tUcn4sYmXbk9tQ,1673
caffe2/python/operator_test/ngram_ops_test.py,sha256=6pwVe--BkENqUy7MkZ8U8XMVgqXaGnKYJLlGVX4OOgA,2547
caffe2/python/operator_test/normalize_op_test.py,sha256=VFZdEUOd0AKTiAajDuIoFOI8KSwdEBlxf3KqT2XuKyE,1771
caffe2/python/operator_test/numpy_tile_op_test.py,sha256=-7Bc6eNGTTMV5HsJZ8cLeJZ4a63f0TiceC9sP3fL80Y,2081
caffe2/python/operator_test/one_hot_ops_test.py,sha256=bYu6vkd4uFBjjHoFQeuymp6_uZS6DBFSObq3nMSFuyQ,7794
caffe2/python/operator_test/onnx_while_test.py,sha256=kC2wXRmTYata4cEaAKEBWwYgAK_A1zWL6SU8qM2pn80,3251
caffe2/python/operator_test/order_switch_test.py,sha256=CPfHX75_n4HHf22sAhMyTWxi4xAFtNK4oDgJAtRuvAI,1356
caffe2/python/operator_test/pack_ops_test.py,sha256=UD-xQHdionkERW4v-6KoLjOUlAoxK3DM-dkO8BLtzDg,11081
caffe2/python/operator_test/pack_rnn_sequence_op_test.py,sha256=gAFVg289YUzoN5k5Qt9aFH_5E_m9uAoqchD2oGcvv0U,3156
caffe2/python/operator_test/pad_test.py,sha256=LKTckxs79f6X8FIwFSFsyzWXb5APGureSAd_OHgKpHw,1564
caffe2/python/operator_test/partition_ops_test.py,sha256=krKTlWgDezstpUyONFb3rIA5WhQAbqQBbtDkP979RJs,7164
caffe2/python/operator_test/percentile_op_test.py,sha256=DxdueyVTgF8_O4wlEkhHkL5wPIrmohJGTl09lUWGno4,4710
caffe2/python/operator_test/piecewise_linear_transform_test.py,sha256=uGIC5-KjmwljL6G_fwAqMMHsTgxK83Kgcj6xj5X-ITY,6345
caffe2/python/operator_test/pooling_test.py,sha256=CTrgjZOL444obSB_DrmLjyOrbOk7-Z1ZJZr9GpuxK-I,16649
caffe2/python/operator_test/prepend_dim_test.py,sha256=vnhh2FvpVcJJOO8afXdPszBGLqpGYDYXFlJ_GxguCrQ,1701
caffe2/python/operator_test/python_op_test.py,sha256=_jF6dh_gU5jeNuRPBYRj5ukfmMilMK_2YU9IyyVTDhQ,1459
caffe2/python/operator_test/rand_quantization_op_speed_test.py,sha256=8_sZUEWlk3PedraaDj0Qf4zGIxu-0vBUT2BIwUiGELc,3272
caffe2/python/operator_test/rand_quantization_op_test.py,sha256=YAZrp3MWydJ_uOSQryTu0vijH4kC1jJKgiSwVm0_o0E,7020
caffe2/python/operator_test/rank_loss_operator_test.py,sha256=oPJdpNcZoj5MrvJuIy_pu7edOx1p6gMOWft3c9WiPAs,6044
caffe2/python/operator_test/rebatching_queue_test.py,sha256=EYiQGRl5IX9ODtPUhOIg5rov2Jt31gmD2YsE5sKTH9k,9439
caffe2/python/operator_test/record_queue_test.py,sha256=l3nj_i7X9GRqUkCBlripwo-T0ynK3b_YnlZRTUs-lC8,3362
caffe2/python/operator_test/recurrent_net_executor_test.py,sha256=pylJgRw6raODzjJdbLuxNpd7Z_7RQUGi0WKulaYh7hQ,11302
caffe2/python/operator_test/recurrent_network_test.py,sha256=OkudkkBqUt3RVW0NYAlfEr_7j1Xa7t22VI3H0VM5dWk,14541
caffe2/python/operator_test/reduce_ops_test.py,sha256=uKr1KDksHk8aU1gpn7M29VZhsdSIic_nzDDZuZKwcVE,16392
caffe2/python/operator_test/reduction_ops_test.py,sha256=Tvc2LXjx6pv7UvVHuCt80mwWGm0D0Yb-8laq47s3QNE,4484
caffe2/python/operator_test/reshape_ops_test.py,sha256=xeHOmx39TlqVvL-wCS9SO01qRtSVQ7k9q0c5zkdypX4,6265
caffe2/python/operator_test/resize_op_test.py,sha256=rfMaMjToYS3V57xlyY3lQMcGzzNSVmDI6DTDd1LW_dc,9712
caffe2/python/operator_test/rmac_regions_op_test.py,sha256=PmPHdUPnPkKHKEtuGetAVVrkOXEVG0hk_jfOzttxECI,3381
caffe2/python/operator_test/rnn_cell_test.py,sha256=Wagtlopv0j0gxi3xH6hjiO4VTqDZkgVOXPuV2Ua01OU,61171
caffe2/python/operator_test/roi_align_rotated_op_test.py,sha256=urk34nhdVIO0gM0RNR9mmWMCGp0uUO-62Sw2xTviQnw,7959
caffe2/python/operator_test/segment_ops_test.py,sha256=rGhHWMwbv1i3QVPe3Z7ivfDwI_c7ILzwZAZgvPhhry8,24568
caffe2/python/operator_test/selu_op_test.py,sha256=B_6U77DWR0MxqLWXrjm8bZtFpg9hpejXMqrl8VKbSn4,3405
caffe2/python/operator_test/sequence_ops_test.py,sha256=IdhHTbCqbYrynOnqfAC93jAHoZytntqEPVq3-n0RIY0,11881
caffe2/python/operator_test/shape_inference_test.py,sha256=VmzEBBU62mr7lDWxepIeO3RivxyI2Zz5FMNidaWxvds,24774
caffe2/python/operator_test/sinusoid_position_encoding_op_test.py,sha256=mKe6pnPqsCJLhCpY8QMqZCz2hDMuBwT6xW9UdGmlqbA,2491
caffe2/python/operator_test/softmax_ops_test.py,sha256=R5cWdxb1OYhA_wbs4HIwBTiIE-nqkt62NG9qQt03ZHE,24187
caffe2/python/operator_test/softplus_op_test.py,sha256=yAuLVtsR9RQgn53ZIzkAqFFe3eipJn8mAwPBXFPeaKo,645
caffe2/python/operator_test/sparse_gradient_checker_test.py,sha256=uLQsSjAVGPKM5uG3mRcBKotarJQfSmnKd9e8HZLlykQ,1445
caffe2/python/operator_test/sparse_lengths_sum_benchmark.py,sha256=oKkam4IluzbMRw1T5r0uBqupbPx3vZ4bS8cg-YuuFF0,3671
caffe2/python/operator_test/sparse_normalize_test.py,sha256=mB_Kf406JpU8qcUECFgxXaFT402u_K3OYolcIHpVokI,2715
caffe2/python/operator_test/sparse_ops_test.py,sha256=RSCztlj1JCa4tbiaU-CBVjWLnihqg5VyeRBzUx02Qv4,3385
caffe2/python/operator_test/sparse_to_dense_mask_op_test.py,sha256=GtUOsU9j6QNVT4G9Uit8YL8zmVdXsb5S_FzYLXgCNCw,3847
caffe2/python/operator_test/spatial_bn_op_test.py,sha256=YavLfjGZsDTcL2-haBqRqxD4MU6mk7a1PcHyLaDsXr0,19206
caffe2/python/operator_test/specialized_segment_ops_test.py,sha256=oW-_HByaCyE68FyNZVtMp6KRPhaf839Kcwcaua1tOjg,12147
caffe2/python/operator_test/square_root_divide_op_test.py,sha256=KXLzWXsOoiyGMqGECTNRu0Yt4ZDUm-64_FpNLRpKZTA,2430
caffe2/python/operator_test/stats_ops_test.py,sha256=m6t84sjD9VaI_3m_Qp0jYc3R_7Ul_ZhokCVdSK5nkbk,1985
caffe2/python/operator_test/stats_put_ops_test.py,sha256=u4jNvcQ4cvtU2Ct5pTiSR_lH1cgx5wPw4-mzdlwPCCM,6936
caffe2/python/operator_test/string_ops_test.py,sha256=eWbgAP9VJWNe8Yc5z1HvVeqx_9ZYHrIzORE3rrfWDIE,3632
caffe2/python/operator_test/text_file_reader_test.py,sha256=XIfhqfSotIwGjzPqSAM_tL9zkqm-su5ih7_VUN6Ywz8,2729
caffe2/python/operator_test/thresholded_relu_op_test.py,sha256=t_dkgb7WMiAPt2r0uq2HQ913B47ltGLmWfHxjtY11oQ,2500
caffe2/python/operator_test/tile_op_test.py,sha256=MLq8W3Baw7gqOO3Z6OiieGkPpZ5XnQuivjNJjbM0T04,4084
caffe2/python/operator_test/top_k_test.py,sha256=B0RTzW_WllIGy23S_QYKKlrQa-3USRQzdmhxhoQL9d0,9401
caffe2/python/operator_test/torch_integration_test.py,sha256=jQtqvUi5PxG0cjO0ufcuKD2y-wW2DVrB0WrWskoAv18,17010
caffe2/python/operator_test/transpose_op_test.py,sha256=XUsVALcSoxDMw6R_sdIWnk1N6sJg7j0Tju0HM3K469c,2301
caffe2/python/operator_test/trigonometric_op_test.py,sha256=5hKllC4QDjgZtymhT_Pm7uIgiOeyWP87BGKBHobT5Qg,1783
caffe2/python/operator_test/unique_ops_test.py,sha256=IAynYl5vh0GXRcLsZCbsnEY7bZVqEJ1XjbFDRypW38M,2404
caffe2/python/operator_test/unique_uniform_fill_op_test.py,sha256=8-98Bsk2IsNzuh9rXTxVyLnLrm-S5aIIiY4_HtmzdgM,1531
caffe2/python/operator_test/upsample_op_test.py,sha256=yNMbJ5AbN6oPAebxtxbkM320AbDrGQt6Z1a0zowI3Tw,7537
caffe2/python/operator_test/utility_ops_test.py,sha256=PWrWC1MQyygnsLR2VpWtrovh4BzaI5dO6fycaGZNN58,13623
caffe2/python/operator_test/video_input_op_test.py,sha256=vfHu7b2zRHqHVPH88v-1Oc5QpkVdzimx_-h9mLGZBAo,21690
caffe2/python/operator_test/weighted_multi_sample_test.py,sha256=7ZhG6q7k7owwCFrKaLSNmJtsWgGbYSWq8myq4mh-ULk,2211
caffe2/python/operator_test/weighted_sample_test.py,sha256=57eeRZiPdfPDuE0lqS1eqU2cONzl27Cd5HFkA2xz4Dc,2964
caffe2/python/operator_test/weighted_sum_test.py,sha256=yQFPvwoy_i_eRfYmtMfuqNozUUF4849Iwjb-7inSItw,3233
caffe2/python/operator_test/wngrad_test.py,sha256=w-n8xtA7Q69ZF86amjJbz9K-GC9KLVQvgaFFENrs9G0,8516
caffe2/python/optimizer.py,sha256=JjT1Mxw0j33PR_zDGl8ZyTvPUvKyei7hAeASjw4tsGg,54090
caffe2/python/optimizer_context.py,sha256=PgLdbuYiqtq_jX3qBtsgGzhn5xczw5DEV7WvJgNHhqM,1682
caffe2/python/optimizer_test.py,sha256=vKFQM11J43D2cVYITibhFjMgKzYPVKXCusrhUlHqB10,27000
caffe2/python/optimizer_test_util.py,sha256=vr2doVBfmwZ2a5a8Xt4MtDac1bdd27AWXNKRT41NHk4,9606
caffe2/python/parallel_workers.py,sha256=Y9BUHU4XZ_mBkCVim5mCa6nK0jaiqjVFjCyCFMkockw,8135
caffe2/python/parallel_workers_test.py,sha256=jcQSiprvI7xBTtQntNkQad0ABb6G2jWVRbVxfVdX4o8,3229
caffe2/python/parallelize_bmuf_distributed_test.py,sha256=-ZwTiZsfvB-2dM7DZSfEea510ViD08pgp19HCEeuiAI,10079
caffe2/python/pipeline.py,sha256=8mWnv2wo5LWKL9cOEQbVTaZPWeqY1vur5cwe4XEOt5g,17876
caffe2/python/pipeline_test.py,sha256=_VierxkVAIdFNUgGkjnZ1RNHv7jWLBbHeW1FWhCM4BQ,2764
caffe2/python/predictor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/predictor/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/mobile_exporter_test.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/predictor_exporter_test.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/predictor_py_utils.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/predictor_test.cpython-36.pyc,,
caffe2/python/predictor/__pycache__/serde.cpython-36.pyc,,
caffe2/python/predictor/mobile_exporter.py,sha256=mTqw6M_ZxentDtEveKf-jdUPhkFeA_Fom-ftnCVRy1I,3925
caffe2/python/predictor/mobile_exporter_test.py,sha256=A2vXffDz4TC7KLieXCbmhoWdVg4w-nXvg13MZGMw-rw,5128
caffe2/python/predictor/predictor_exporter.py,sha256=l1G11-KEfmI6QAyv2XcHoM8fpkwJoVDRQ4vywqMgb0g,10082
caffe2/python/predictor/predictor_exporter_test.py,sha256=BHp7v4T-auYxrMfa2nwrWTrUj3GjiZ5IQzUpq6dQvuw,8315
caffe2/python/predictor/predictor_py_utils.py,sha256=zmIhFD6H-XMuckEwEezaH1siV5--0vgXON1umQlYaks,5433
caffe2/python/predictor/predictor_test.py,sha256=LQcOqvuJmgGX3jsH_xnyJP7Kx9Nx8vd01w2g1REe-0I,2268
caffe2/python/predictor/serde.py,sha256=dr7nZRSq6AMkU_YmlRx7hX-eNfE17lydDQCHog4KIis,478
caffe2/python/predictor_constants.py,sha256=3CYjfJFyNn92Jp2qGt42QCrw41cm1JYX2jRJ4BubeOY,352
caffe2/python/python_op_test.py,sha256=Wz_1fLDLCupnHc_GQ0rdsOSvZtu3bgvjjQOeEZi9i9Y,8999
caffe2/python/queue_util.py,sha256=6zKBfq8vaLCyw4BOxLMBoc3sfV1a6Jvz_NrzNIbImKE,4740
caffe2/python/record_queue.py,sha256=kJjzW5aowNradd98_1DLkquIjoRSoVCBjM_8v0CaBEs,4716
caffe2/python/recurrent.py,sha256=bvqLdYSVJKQBfQEaG1iLed69wbFE5J60fDigqZkvrgg,13775
caffe2/python/regularizer.py,sha256=z-WGj7b8Es9g263q4tG9dFdSSfpLSEMBxW15YH_PDhQ,11998
caffe2/python/regularizer_context.py,sha256=0RkC4aiwYDm2Sk19qAJNM6ykqnJtAUtgjFAgLXcbqlU,1217
caffe2/python/regularizer_test.py,sha256=4Op3nXggB3b40m-vc-S-16RsSynaLscG_AH4VmcDU-8,6839
caffe2/python/rnn/__init__.py,sha256=gOb7X-c8s3keNZbsCUQ4Q0JI9dJj66YUi4-xQNVBH4U,155
caffe2/python/rnn/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/rnn/__pycache__/lstm_comparison.cpython-36.pyc,,
caffe2/python/rnn/__pycache__/rnn_cell_test_util.cpython-36.pyc,,
caffe2/python/rnn/lstm_comparison.py,sha256=qruLa7MoDtCplEjnhspvtgGhFQ1bsRSBpgfGa78XCCE,2316
caffe2/python/rnn/rnn_cell_test_util.py,sha256=jCE-9AJPXMZtZoGya-i9fShSH2v7wMYTRHlLh3_12RI,2352
caffe2/python/rnn_cell.py,sha256=HL0xY0W7FOE_DecEpXF0RLW22KDmi3Vm36KFZ9SiECs,70142
caffe2/python/schema.py,sha256=uLri0sz__7GTd_xAtUqt7Jhs3_t6n2sB-8zDJAHckXA,42307
caffe2/python/schema_test.py,sha256=Zs96qEq5XBeZ0qj6b4257siveqWhytMW84Dq-Lt9UaA,14525
caffe2/python/scope.py,sha256=g0RvddcovjmD2cCVpPAgieKUYoENPEU2241tMLA-k0g,3890
caffe2/python/scope_test.py,sha256=L4rwD2ydmQkjErlxUQc60I1tVEZgor3ki19Ti-UCB_0,5583
caffe2/python/serialized_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/serialized_test/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/serialized_test/__pycache__/coverage.cpython-36.pyc,,
caffe2/python/serialized_test/__pycache__/serialized_test_util.cpython-36.pyc,,
caffe2/python/serialized_test/coverage.py,sha256=zsjXFmkaGjkTOPRJPPWeq7m9-HBM_AWKM2kIXjCkJpQ,4070
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=Nn-w49sag6Ql1KH2k8IGQMtBmNwGaGzxLLNaOL3YhnA,1101
caffe2/python/serialized_test/data/operator_test/ctc_greedy_decoder_op_test.test_ctc_greedy_decoder.zip,sha256=ckytqESLL_lc-87B16fdgQJIdRL4VtkSVUJVFfE8Nz4,1133
caffe2/python/serialized_test/data/operator_test/distance_op_test.test_dot_product.zip,sha256=IqVVn5PWHnDYkxIot6J802AL_zftxNVHg4_qg03UJ38,1199
caffe2/python/serialized_test/data/operator_test/dropout_op_test.test_dropout_is_test.zip,sha256=u2RggK8gqIAsGvkbskT5_bKsLI9AqEIhIlhn-LiDWXQ,1215
caffe2/python/serialized_test/data/operator_test/elementwise_linear_op_test.test.zip,sha256=9Z6GK-8TbK4ILrVVNhq1U_kJU6lcTO5uXAvm2hV8WpA,1280
caffe2/python/serialized_test/data/operator_test/elementwise_logical_ops_test.test_is_member_of.zip,sha256=uqrONEV2qR-XmDQFpYXcSIVH3E0ogRVeYoI5irqFIJI,1050
caffe2/python/serialized_test/data/operator_test/elementwise_logical_ops_test.test_where.zip,sha256=_BYDAknSvV-1m_sJNZbQ3LSak304XzE8lO_d2NXEaaI,1072
caffe2/python/serialized_test/data/operator_test/elementwise_op_broadcast_test.test_broadcast_powt.zip,sha256=IZlrYKd4_V_PlTNQom3NbdL9l9R0AafZ6aAhAB4iSB0,3427
caffe2/python/serialized_test/data/operator_test/erf_op_test.test_erf.zip,sha256=yMa4Zq4qFDLmiejwLZwynfCnyb7B3cTr2pdqCJ0GiiQ,1156
caffe2/python/serialized_test/data/operator_test/expand_op_test.test_expand_rand_shape.zip,sha256=odVZ4oLkxZoJ-9iobXA2s8KwBVyYvPUkzA6TVicRD1U,1191
caffe2/python/serialized_test/data/operator_test/fc_operator_test.test_fc.zip,sha256=pzObRjUGiJ_DcaPmeAliVqGmoUZDMGNgUqEMieRhGZ4,1219
caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_diagonal_fill_op_float.zip,sha256=7YypoAuGJ8NQZ2qU8IkP4Bq7NpSmP6pH48JBGW2IAw0,1057
caffe2/python/serialized_test/data/operator_test/filler_ops_test.test_lengths_range_fill.zip,sha256=zkyvbmGJykp0PVUQPCdb_obs_tJjWTKaW-3AaJ6tUEI,1054
caffe2/python/serialized_test/data/operator_test/find_op_test.test_find.zip,sha256=7wN6MSA_OnfEdILaGdptIapZWDW15rXmiqKr8H0KLDM,1051
caffe2/python/serialized_test/data/operator_test/flexible_top_k_test.test_flexible_top_k.zip,sha256=Tz1b3yelnPsgbOCk7pJ7vpQCfnbonYssM055R6UFUNQ,1258
caffe2/python/serialized_test/data/operator_test/floor_op_test.test_floor.zip,sha256=LgB1EHHgfjwWpR7olq2R5jv1DgWrcvE1Fkst7OjMTPI,1030
caffe2/python/serialized_test/data/operator_test/gather_ops_test.test_batch_gather_ops.zip,sha256=-6PpgEHG3BS-86UUmzFm2Dze01mxzEs3MWHZy-19zzk,1234
caffe2/python/serialized_test/data/operator_test/gather_ops_test.test_gather_ops.zip,sha256=CeE7ChMgSpM5vumMNxh088-fzFlYRa2a-FoFGEd7PgY,1853
caffe2/python/serialized_test/data/operator_test/gather_ranges_op_test.test_gather_ranges.zip,sha256=Tv-A1-lMtQbaEj16G4lzCPtYZW4nGTWv4H42SrAFE1k,1103
caffe2/python/serialized_test/data/operator_test/gather_ranges_op_test.test_gather_ranges_split.zip,sha256=1kZ32I0TEsEcSOk9N3tI68iPitrxywJfJ82rBHeljYI,1106
caffe2/python/serialized_test/data/operator_test/glu_op_test.test_glu_old.zip,sha256=K8kaeJn-CAOshzcwSbn955TNVwBbj23Q5-Vb_erMO8M,1080
caffe2/python/serialized_test/data/operator_test/group_norm_op_test.test_group_norm_2d.zip,sha256=QhuujnMndnh4ekNBy8WzUw_rA4ijABQDekY4oswJWNk,1433
caffe2/python/serialized_test/data/operator_test/gru_test.test_gru_unit_op.zip,sha256=q4KI9Wvqloz5EUQQV4R2hH4PBlYsUGD_bm7KdX9HVFk,1628
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_cosh.zip,sha256=3st32EjOvND8xx5RuRGsLOqQaWH4zdQwQZE5v63fkwY,1163
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_sinh.zip,sha256=LsX-T-48i-wSFBwfIIifxCJFSWK5JdzJSm8A5N3RLR4,1162
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_tanh.zip,sha256=W1d_DeS8s-5r2miES-ICBIFxbPYTIMlpWqvXRt84_eE,1162
caffe2/python/serialized_test/data/operator_test/index_hash_ops_test.test_index_hash_ops.zip,sha256=2dsiIsLoWlNEqfHNiTBNtYZfAorjKC_D-GWND9nJNnU,1075
caffe2/python/serialized_test/data/operator_test/instance_norm_test.test_instance_norm_reference_check.zip,sha256=Km6snPskitqC4EILGpA4eJvPnwZ6sHfTCnUZeZLlTMI,3032
caffe2/python/serialized_test/data/operator_test/integral_image_ops_test.test_integral_image_gradient_ops.zip,sha256=NMdUTd6gNGeB3ZXntxZ4VqpQv2B6VlAM83ryDM8xOBk,1747
caffe2/python/serialized_test/data/operator_test/integral_image_ops_test.test_integral_image_ops.zip,sha256=5G3p9olOVe9Ri8fRcxYkq8F92YnET3BF5nbC_TvhfIo,1608
caffe2/python/serialized_test/data/operator_test/jsd_ops_test.test_bernoulli_jsd.zip,sha256=YExBx4zmB9b8YBMsRL9VTN9gx75M8x6FBMoYxnwzLTg,1314
caffe2/python/serialized_test/data/operator_test/layer_norm_op_test.test_layer_norm_grad_op.zip,sha256=ymceKujlG8SF0pDnscEz6wco2Tur4KINvYt96v9TK1g,1128
caffe2/python/serialized_test/data/operator_test/learning_rate_adaption_op_test.test_learning_rate_adaption_op_normalization.zip,sha256=bbguT1W6rlATQU15K-7FcWEtoFr2fwibqElWX-wBXco,1107
caffe2/python/serialized_test/data/operator_test/learning_rate_op_test.test_alter_learning_rate_op.zip,sha256=-joDpR4986ukStkqvZ-cg-c522oTR-qV5ZclccKKmD8,1135
caffe2/python/serialized_test/data/operator_test/length_split_op_test.test_length_split_edge.zip,sha256=61mUbPBssAjLHyG_xx7_s6lGm--eyYk5SfdPq6AldWc,1093
caffe2/python/serialized_test/data/operator_test/lengths_pad_op_test.test_lengths_pad.zip,sha256=lYbFwj4o9f66x8lgu44kbHvrFFzdtp3KuB43UFuM7Fc,1114
caffe2/python/serialized_test/data/operator_test/lengths_tile_op_test.test_lengths_tile.zip,sha256=rmA3QyW4-Xw9-3kD0X7ettAduFPaFXQB5hfm5nT_jQ0,1207
caffe2/python/serialized_test/data/operator_test/lengths_top_k_ops_test.test_lengths_top_k_op.zip,sha256=AbGdfJSYYRd6vCnrOU8LfXNFues4sFbTrz0K_hvdylY,1240
caffe2/python/serialized_test/data/operator_test/locally_connected_op_test.test_lc_2d.zip,sha256=sdNn8bAFj8I3RX0bfDMzJ6H_2LndJwd5rsHou0ClhB0,1277
caffe2/python/serialized_test/data/operator_test/loss_ops_test.test_averaged_loss.zip,sha256=pznTisKFS_NjDRs2QDF8FotpCUWynEjwbhPySLNbcn0,1179
caffe2/python/serialized_test/data/operator_test/margin_ranking_criterion_op_test.test_margin_ranking_criterion.zip,sha256=_F4I3KoVTFJqLY2m8aSNArkt-jUa1A6MZcmezftuRBE,1398
caffe2/python/serialized_test/data/operator_test/math_ops_test.test_sign.zip,sha256=SPeb6UyNsY-rhWgRDKrdxtQ90bbk-lCrjk9hZlYRf7k,1027
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_batch_matmul.zip,sha256=AP0zdDX5ZugVW6nogbdSSn6lknFwSa1RkOjrym2Rijc,1393
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_matmul.zip,sha256=kTIs8jQ6gHPKsXuZQU9oYrZZok-iHLz6ZcFo8Hgcl5s,1396
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_numpy_batch_matmul.zip,sha256=7He1ckHhOwxFCfwcS38wL4z26veNLixBthyoPLa8MYg,1118
caffe2/python/serialized_test/data/operator_test/mean_op_test.test_mean.zip,sha256=ShnZsn574s_MyXvsRZIuN2xPL83Ay45_cBFUkStbORY,1165
caffe2/python/serialized_test/data/operator_test/merge_id_lists_op_test.test_merge_id_lists_op.zip,sha256=r2O71DnEctgl2MKHwRd-sHzWMvIm0rA77NDBf4A3In4,1122
caffe2/python/serialized_test/data/operator_test/moments_op_test.test_moments.zip,sha256=aa5maBWc299DiT7pCSG__QYGsb5Y8NqMppwmGWxjFdo,1268
caffe2/python/serialized_test/data/operator_test/momentum_sgd_test.test_momentum_sgd.zip,sha256=ZqmHeiHCU-gnfoGLdmv5bwvduo9icuQukb1_QEOJczw,1187
caffe2/python/serialized_test/data/operator_test/momentum_sgd_test.test_sparse_momentum_sgd.zip,sha256=Bbo5SvTojetZr6ax8a3ZIhC6vDxqmhmd3nXdvq_21Xg,1182
caffe2/python/serialized_test/data/operator_test/negate_gradient_op_test.test_forward.zip,sha256=0YtxOoJJ4IQJ3PFV7VhSiHvhb7fm2nlBH4h7toaJACc,1161
caffe2/python/serialized_test/data/operator_test/numpy_tile_op_test.test_numpy_tile.zip,sha256=Y2DPWq6pNLPimwjwrH2JnTbcKo1Drc5XJ-ML4A6pxlU,1081
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_batch_bucketized_one_hot.zip,sha256=2bIQNZGOI_qMH3v5RhDsczPQCdBNmfPXtiTHVAw5ZEQ,1099
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_batch_one_hot.zip,sha256=Zlsvy0KRu7vLTBnvIqb5zkPJWyE9x4cuv2QL30GABeA,1071
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_one_hot.zip,sha256=OMk3SylueP9tdcRD-WKlLDfCDifxKzufhZIx4PX4xr0,1070
caffe2/python/serialized_test/data/operator_test/one_hot_ops_test.test_segment_one_hot.zip,sha256=NwQVwtYrKiBmzWPQ1ddgoWunraKlBRJC6SNNd8lygG4,1090
caffe2/python/serialized_test/data/operator_test/onnx_while_test.test_onnx_while_fibb.zip,sha256=qpjKZP4QGH5gAblka8QUpNAzD7gn3iQ8V8dzrNDuj0Y,1472
caffe2/python/serialized_test/data/operator_test/pack_ops_test.test_pack_with_max_length_ops.zip,sha256=_2nAsDXxYX8yfCr6jNZf1fCJ5FSk6GlIP_TGR2VaBSw,1341
caffe2/python/serialized_test/data/operator_test/pack_rnn_sequence_op_test.test_pack_rnn_seqence.zip,sha256=6whpS-2NYCV7R_t1-D9uBT-9WXQhQ5WeWirmGmuueik,1218
caffe2/python/serialized_test/data/operator_test/pack_rnn_sequence_op_test.test_unpack_rnn_seqence.zip,sha256=GSrGk5hLICnC6M91dUk1knxUWgRCx3wnKoaMwEZnjw8,1218
caffe2/python/serialized_test/data/operator_test/pad_test.test_crop.zip,sha256=ZhrzE0syxJrdF5uaTM2452li7o27hFa9Pg8hH5F_xdk,3245
caffe2/python/serialized_test/data/operator_test/piecewise_linear_transform_test.test_multi_predictions_params_from_arg.zip,sha256=c_WfeRwaTKq9LqDdYMxngr29vfHniOoGxRAgw5Oz7J8,1139
caffe2/python/serialized_test/data/operator_test/rank_loss_operator_test.test_pair_wise_loss_batch.zip,sha256=XlAAuGx8pMJYfnUwfLqnFR8sJ6xrvGA8aX9K_E0r0mU,1225
caffe2/python/serialized_test/data/operator_test/recurrent_network_test.test_mul.zip,sha256=drOy9x3MSr54PLCBabig6EOHOiy_KZqolbNV0OFXfw4,3684
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_back_max.zip,sha256=tuZysvT3D2JICtyBcReYKAe4h2-NuvVut3Kggtg_u1M,6213
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_back_mean.zip,sha256=DBUbU5JMH3wATf-Lz5DO4D9wL0ZS8RcWg0AGHZv36ZI,6220
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_max.zip,sha256=kkv2CPhnjGmzSFJAzRDU6jXrrvvR7M9H1o_js5Nhq6c,6215
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_mean.zip,sha256=TemxR1f2pEZIfTkQP7cye2ow2ycgbErrdggEkIGVlTY,6204
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_front_sum.zip,sha256=6M_VEzPjpg4rRqB0ICgKFRD_RhAkvIspyIDf07gyz9o,4406
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_l2.zip,sha256=uDCx_ml8P9lgZE_M73inZ-j1lsL2LX3CWTB_OcxevNQ,1225
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_max.zip,sha256=2SfWAowtCagy9R7-f4d4AIaDi9sFzaViqxoLH5j-Klk,1224
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_mean.zip,sha256=62hAJ5Q0fZ4Fwdj7a5sJuSjlzYMEoYBeommznbHOcck,1226
caffe2/python/serialized_test/data/operator_test/reduce_ops_test.test_reduce_min.zip,sha256=iaEcBm-xLRoPhm4rkRb5I5I5LgSOx2FIqOBhZQ6RXGU,1224
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_columnwise_max.zip,sha256=YevpKV3gIIwqP-Tea5s-nvR4yl-_0rzWMp9Ng9MM0nY,1179
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_int_sum.zip,sha256=U8IEQnV-fKhPPg8UEhr6bs_Xudvas1aziJbkjakT2Dk,1040
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_sqrsum.zip,sha256=aLG1ClKG2sYsMK9wTL_Y2PZ8ErAeBE6x4zPbAjCGvms,1042
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_elementwise_sum.zip,sha256=KuCcXHOlO6qz8kfukV_GKfGEms05bnjOL1xjJ3f32KY,1195
caffe2/python/serialized_test/data/operator_test/reduction_ops_test.test_rowwise_max.zip,sha256=5zhOAW7BqwQQg0Z9eKMl7-6GvnB7tvz7d5ZSy6NGuwU,1181
caffe2/python/serialized_test/data/operator_test/selu_op_test.test_selu_1.zip,sha256=uJcP-JLsy3Nm2kOAyHk9NLfHbq1QT3SmbYg6jT-v8ro,1226
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_add_padding.zip,sha256=7ooiax4Ku0fQSzt38q1wHyRn-jT2-ZWfsIuvfxtLscI,1145
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_find_duplicate_elements.zip,sha256=9cut0FPrhxxEZiplR8-Zp9YpV-iXoEnNlUaDcRku3bA,1048
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_gather_padding.zip,sha256=YwQrmzJvfOHXLly_9_rGlJwB4KULSdWGn23xY1bCSvw,1136
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_remove_data_blocks.zip,sha256=_Qsm1pCzTsc_Ao932iDp2bTqv9oOYgBCZUUX9vRkKaA,1083
caffe2/python/serialized_test/data/operator_test/sequence_ops_test.test_reverse_packed_segs.zip,sha256=1H1-CuRj6HlvQ9pJD5Cdn5tWJrGPQNR_9AtSFSgVF6c,1249
caffe2/python/serialized_test/data/operator_test/sinusoid_position_encoding_op_test.test_sinusoid_embedding.zip,sha256=5BEU9IZWCsovulYRsEu9pCrCcmYWezR4wHap8TaFWLo,1128
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax.zip,sha256=fyiX8nVAXlI8SI2aQicFDIwE5RHfbX_QH8vyEgtrVYg,1176
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax_grad.zip,sha256=_Czv8X3aSOJ_bLE85jjeQUbmUec-5DeifsVServiWaM,1052
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_softmax_with_loss.zip,sha256=J_-ulM_z3es9I0G4FQgGuK8hlUxavGgWCDX48uPmGLg,1360
caffe2/python/serialized_test/data/operator_test/softmax_ops_test.test_spatial_softmax_with_loss.zip,sha256=Cd9NtIkiKiBJ_GPJp7BfjC_a1d0fMMgTsaa1XKdRBSc,9417
caffe2/python/serialized_test/data/operator_test/sparse_ops_test.testScatterAssign.zip,sha256=ih4drpUBcYPdjpKJ8M2hXFapZEJsLov2w0irl6IhpHc,1090
caffe2/python/serialized_test/data/operator_test/sparse_ops_test.testScatterWeightedSum.zip,sha256=zFC1_193zoJDeQ2uq9iUAz5xLFzbC35pyv_FzBXaGx8,1128
caffe2/python/serialized_test/data/operator_test/spatial_bn_op_test.test_spatialbn_test_mode_3d.zip,sha256=lYGOktqthKgoAK0ncqgD8UuEJayoTWOZ4mbgRLL3WM8,1380
caffe2/python/serialized_test/data/operator_test/square_root_divide_op_test.test_square_root_divide.zip,sha256=fxdOZs3Pxv3Xu_Sw-3ciFPy7DdsQN2SJp3Y5pSe9nok,1223
caffe2/python/serialized_test/data/operator_test/string_ops_test.test_string_ends_with.zip,sha256=YPl2KXjD-HkxP8A0CKPyi88IopHLdN7xvUq34wyrkdg,1040
caffe2/python/serialized_test/data/operator_test/string_ops_test.test_string_starts_with.zip,sha256=wjkJ8Yx8Qyu7qShmJe3m0my2aiGbTsbj-cqBMMjSvWQ,1042
caffe2/python/serialized_test/data/operator_test/thresholded_relu_op_test.test_thresholded_relu_1.zip,sha256=8qxucANAoiiXbYiQRf60ktS-ZTLcdO5a-D0zveoZzYk,1184
caffe2/python/serialized_test/data/operator_test/tile_op_test.test_tile.zip,sha256=6ruH9v7k6HzTThAPu3FQ6PvFTxKiXSnaxmaFbdIwPn4,1213
caffe2/python/serialized_test/data/operator_test/top_k_test.test_top_k.zip,sha256=a8D7nz0bZ5FyWAe4tiPXSYtTII_8lD_FyLX19BHjfOo,1225
caffe2/python/serialized_test/data/operator_test/transpose_op_test.test_transpose.zip,sha256=1-ZJs303U_gsnWsd5-1nuAAM1bONkELKZxs0aNdJqjE,1161
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_acos.zip,sha256=Cb7rzgHlaDr128uBEy0sz-EydcmCG6dIsxIyqqXRawM,1159
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_asin.zip,sha256=KDE1yBEo_84oP3KF3xJ9hFGlIVt7ca5E7iCFiJaADyw,1158
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_atan.zip,sha256=pIrgM2wdHR0SNEXl6N_Pmk5cTm55hBjTlEzJZ-KlFiU,1158
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_tan.zip,sha256=5HKNTEdtTCxEnofiSvWuPFTsjKUl-gl7PWJZnOnweuA,1156
caffe2/python/serialized_test/data/operator_test/unique_ops_test.test_unique_op.zip,sha256=1SPYIVoCeouHH3Ah9WcLFBVefk2OWHPCLfR0y-ef14o,1025
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample.zip,sha256=DKP7pAb0QbNysUrXcuXeYQOTOIJo4XveL4byCPj-hKc,1406
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample_grad.zip,sha256=8HAXSrDG4AbvwxFL2LPyf5ZsDeb6acdpi47E71VnUF4,1314
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_max.zip,sha256=BUKBgrBImocm1UFn-yEhtSOyy6L8V-lQDIcgPtmSAO8,2003
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_max_grad.zip,sha256=xe3g8dwCzAEcX3u57Ic6HVmCBhiW4DKu787LWxP343E,2184
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min.zip,sha256=o-rWMZqyl-qgcuT_Sy2A6wdAtS-iqNi0wCEm27cDitA,1995
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min_grad.zip,sha256=3nQnrult8mmE7e_DtvpyNt6Z07quAf7TByZ8MRw7bBs,2177
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_gather.zip,sha256=R48o5RgYJROKcrtwkdKGhlId1xmbKEobNcBgoMi-HP0,1088
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_to_ranges.zip,sha256=Ka1TN32gwXvxj54UG6s-3l__0XpQMyw-Rh_QT8kVqjk,1055
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_nan_check.zip,sha256=3OvAqPbprqAZiVt65idhMPNGLR0sfz2Qwlrl-g85Z_U,2205
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_size_op.zip,sha256=zJE60iDqTxUMaTZ3n4hb0A1sn385iRJTYXwGLtUm8O0,1048
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_slice.zip,sha256=lPMc1Pr8fuGmZCxaAfK-03WshGiMvAC6sdYDTHXIyFo,1211
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_transpose.zip,sha256=8uUlXQZAFDb8VubiKoydfHkrYaNH0iF7YzV0sBIi-1s,1264
caffe2/python/serialized_test/data/operator_test/weighted_sum_test.test_weighted_sum.zip,sha256=zzaYRjXcG3II8K061zPEn9gq-MVemvRhwGJq940-pYQ,1212
caffe2/python/serialized_test/data/operator_test/wngrad_test.test_sparse_wngrad_empty.zip,sha256=-1f-9kLjVJPwcBPYA3v63lr0xcqxCvleSuuw6iT0HlQ,1154
caffe2/python/serialized_test/data/operator_test/wngrad_test.test_wngrad_dense_base.zip,sha256=wf5uIgPLIK4fcOLrUCCALzqohnalD2wcI1giuM0kr7M,1123
caffe2/python/serialized_test/serialized_test_util.py,sha256=ltTqEBZTiK52Khi0d8x7X0JNw8VIQsMD5zFw-qx0_4g,9669
caffe2/python/session.py,sha256=iToLdel4-MjOS0vQo1oQvB9wz9burmpPbqXwqWKPD48,7998
caffe2/python/session_test.py,sha256=jWBWCbhtv3AAHTrj-2zFy5WrwB8-4G1IMLBu_Kh4N2w,2286
caffe2/python/sparse_to_dense_mask_test.py,sha256=RCCufM6lc5UxcTzmhz8eQTnkaXQS-D8369B0iqbA52Q,6803
caffe2/python/sparse_to_dense_test.py,sha256=X36erPIlGamXsHqTSDEAJItrd29SJRBYLahLpxWzqG4,2426
caffe2/python/task.py,sha256=9SW7TKdz4hWAJzad-_4Rdc4LTLzDxfoUB5gl_Q2Vmfk,25083
caffe2/python/task_test.py,sha256=BvsqtDVe_1LX5HSXoO08fpJfCwYQ7j1bJqnq6bo9ckY,882
caffe2/python/test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/test/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/test/__pycache__/blob_deallocation_test.cpython-36.pyc,,
caffe2/python/test/__pycache__/do_op_test.cpython-36.pyc,,
caffe2/python/test/__pycache__/executor_test.cpython-36.pyc,,
caffe2/python/test/__pycache__/executor_test_util.cpython-36.pyc,,
caffe2/python/test/__pycache__/inference_lstm_op_test.cpython-36.pyc,,
caffe2/python/test/__pycache__/python_protobuf_test.cpython-36.pyc,,
caffe2/python/test/blob_deallocation_test.py,sha256=iNfRNzBT1kA6ORdtAHZ8a6_rCtuAtOnUUQr2PPMMiV4,766
caffe2/python/test/do_op_test.py,sha256=QpUsZ0NAj_lhUN2nGwijg2y9TZ2H13mKGXoOu_zKIr8,2238
caffe2/python/test/executor_test.py,sha256=Kmc6_w0TL7AaOKNsudSivtDc-wVEdz-KB8XmJq-T81Q,3248
caffe2/python/test/executor_test_util.py,sha256=JcfUsNt9xeGfh1fPSTyUcPz4VCh0GyO0SJ3hpjr7ZOM,8424
caffe2/python/test/inference_lstm_op_test.py,sha256=g52QyU8LYdrN5F4-W6WML7qyzthGActIGRCzjMEk9i0,2248
caffe2/python/test/python_protobuf_test.py,sha256=WVnvQ_gFuESfek9zi3REN0hxrYbX8I4WUdePdNuZqpw,815
caffe2/python/test_util.py,sha256=_z4-QSq6FGxyY914_bDN9e7ZbweLYhG777Jd3oG4v3Q,2951
caffe2/python/text_file_reader.py,sha256=LtBbj55I391aLuN06S-2ITO2xbrFvLHEIu2wnc1BHwk,2193
caffe2/python/timeout_guard.py,sha256=x7o3mwCRR2zScs02B4yejWUUE-Vyr_bkS39N_Nklbc4,4007
caffe2/python/toy_regression_test.py,sha256=cwOBp5vapn7SgoNrBWPD8q7fwAqZfZiH3rUoa88lO8c,2886
caffe2/python/transformations.py,sha256=o_mwF18Q49j647YjTblIaSyQHnt81xPOxUJziTykNOo,2035
caffe2/python/transformations_test.py,sha256=l9dswzKH2uYpcKVRD-NCMHmm0AJiuvSwhbbhceM3w3Y,12439
caffe2/python/trt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/trt/__pycache__/__init__.cpython-36.pyc,,
caffe2/python/trt/__pycache__/test_trt.cpython-36.pyc,,
caffe2/python/trt/__pycache__/transform.cpython-36.pyc,,
caffe2/python/trt/test_trt.py,sha256=zOZ0VM4C92N1BFAyjtnhtUtD6YSkImJP73YaCbpuv7E,11772
caffe2/python/trt/transform.py,sha256=yCv172Tph_LY-YcnAfUV57w1cMSj6LKE3UYYIh13Tz8,3628
caffe2/python/tt_core.py,sha256=DuDabvi1GeSV4HICXCiEO00ItVCSMvJIX34whtWZIiE,9696
caffe2/python/tt_core_test.py,sha256=h0HBgg-wDVerkp2AHJnv-x0JsrZN719sR64rY35rB7c,2745
caffe2/python/utils.py,sha256=cxf78qx7TYNnEZV-RPdpgrsd9CEJwWqlRsh-njtw2No,14326
caffe2/python/utils_test.py,sha256=AutHopkeTaADf7HL2CBxlBxXk0dZ9SFIKSJ4ZWCClxk,1093
caffe2/python/visualize.py,sha256=P8NQugbiqrrm2f9yVTWBNWlSR2-hewtGg-PBPhgCoZg,6491
caffe2/python/workspace.py,sha256=J1uNsgkRzGeicL5w-Vq16cH0Bz4QZGWM3sIk4gphWLo,25439
caffe2/python/workspace_test.py,sha256=-Q-o9cBzvnjnIwuYRudSJdoSIP7EeCKPBMFHSc1LhJM,33852
caffe2/quantization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/__pycache__/__init__.cpython-36.pyc,,
caffe2/quantization/server/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/server/__pycache__/__init__.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/batch_matmul_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/batch_permutation_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/channel_shuffle_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/concat_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/conv_depthwise_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_acc16_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/conv_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_acc16_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/conv_groupwise_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/dequantize_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/dnnlowp_test_utils.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/elementwise_add_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/elementwise_linear_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/elementwise_mul_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/elementwise_sum_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_acc16_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_fp16_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/fully_connected_rowwise_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/gather_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/group_norm_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/lstm_unit_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/observer_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/pool_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/quantize_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/relu_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/resize_nearest_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/sigmoid_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/spatial_batch_norm_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/tanh_dnnlowp_op_test.cpython-36.pyc,,
caffe2/quantization/server/__pycache__/utils.cpython-36.pyc,,
caffe2/quantization/server/batch_matmul_dnnlowp_op_test.py,sha256=1YlmUzmnzrX8SHJD8XxRJFIoa4qBZSKWuwUM9qhj5b4,10276
caffe2/quantization/server/batch_permutation_dnnlowp_op_test.py,sha256=GpSmikU29Ad4MfeJ3etBt5BueVTY3WqFbNnV6DjEn8w,1514
caffe2/quantization/server/channel_shuffle_dnnlowp_op_test.py,sha256=BWRsVY4rbsl1Rv_y11D1etCm0Wh-wSw80LOUTWkaQIY,3972
caffe2/quantization/server/concat_dnnlowp_op_test.py,sha256=w5EYcu11eS0ZdNNU0wNnW5EHC703h-bpY9G3X1HQ5Bs,3228
caffe2/quantization/server/conv_depthwise_dnnlowp_op_test.py,sha256=qKkHP1T2J3nJLXGzpTbuewwUYwlqWIcVa6UJXGW5YWg,10657
caffe2/quantization/server/conv_dnnlowp_acc16_op_test.py,sha256=Occp36YVlcl_OrfgVjfmwf-BkppdKKlWtpkOw6gqohM,14167
caffe2/quantization/server/conv_dnnlowp_op_test.py,sha256=LNt3LDwckomUIVFCTYPCZFpp34xqx_kCmtcYJ2--Hng,17746
caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py,sha256=Y8ChH7jbnHy6tfU0xF74BpTj7LiAxdm-iw6OaVrjm_k,11701
caffe2/quantization/server/conv_groupwise_dnnlowp_op_test.py,sha256=a_3jWigouq8VefCsoL0ZIGcJSGcVafvKJBq0wTy5bxE,9544
caffe2/quantization/server/dequantize_dnnlowp_op_test.py,sha256=YsNwXDiqooPn-RV_C4QaDRmxnjkTSl14Z385mtS2x3I,1773
caffe2/quantization/server/dnnlowp_test_utils.py,sha256=u3iq62yqq8_pMtq4TtjU1oVdaLxeULVCSmJ1rw289aQ,14379
caffe2/quantization/server/elementwise_add_dnnlowp_op_test.py,sha256=sSnUpGMCsZ5nVN5CQxvhGkVeq5K_d4OhVvwpUM-9isQ,6771
caffe2/quantization/server/elementwise_linear_dnnlowp_op_test.py,sha256=9gmMWmtYYL1aqHhP5D1ImY7L3JKIssqt9IB1jblhikQ,3128
caffe2/quantization/server/elementwise_mul_dnnlowp_op_test.py,sha256=PbTWEU86r_ivVYMeORhE8miWLZCBT0OiSGz2pvB44Eo,6318
caffe2/quantization/server/elementwise_sum_dnnlowp_op_test.py,sha256=9sCArIockmH2ECDJ0EPXYCsxudMHP9HjVvXMduqekx4,9871
caffe2/quantization/server/fully_connected_dnnlowp_acc16_op_test.py,sha256=tUHhdrey0pS8XlaxjV12neIB9Jf4uf1ySyDo6jfDOQc,8437
caffe2/quantization/server/fully_connected_dnnlowp_op_test.py,sha256=TlzHVDmKwiY8CEdiwg1OSHQmTBMtknm3hse8d3WgCts,7236
caffe2/quantization/server/fully_connected_fp16_test.py,sha256=oL6s8Y9PTvnqRy7Nta-arVVIX_OHx9NfoTt3ALUMggw,2549
caffe2/quantization/server/fully_connected_rowwise_dnnlowp_op_test.py,sha256=sDxvuaQlkiqszhYgMAxffjA3hkcMHyMGCuSi3uPVsxQ,5692
caffe2/quantization/server/gather_dnnlowp_op_test.py,sha256=3cNzGYr51RbDqFVGhzGn08IhGH0fyFBQn_p1CADAONQ,2839
caffe2/quantization/server/group_norm_dnnlowp_op_test.py,sha256=HmBJWpIrwaUkg7K8_xvWt97LBGLLEWj2UF1qyzMsdhU,4645
caffe2/quantization/server/lstm_unit_dnnlowp_op_test.py,sha256=-YGa13Xx-YjVPbpjHO2LHk-JbITVs5YhcV_7nZPIM2k,4105
caffe2/quantization/server/observer_test.py,sha256=6eREANAsWfAzs75uzglyCIoO0CbotesvIQS5Hev_2tE,948
caffe2/quantization/server/pool_dnnlowp_op_test.py,sha256=uA9lBl5jg4By7rzegwz-9eyDadf1WMPMgxW7AZZP8M4,6381
caffe2/quantization/server/quantize_dnnlowp_op_test.py,sha256=2l6MZKy7rgF-CPpgO471C0fP5q2l8ImtUR39J5D4UDk,1701
caffe2/quantization/server/relu_dnnlowp_op_test.py,sha256=9owRGlCfQ8pb84EyT8y875T1Bdm-nKHeJ1Ir2bWCN1A,2530
caffe2/quantization/server/resize_nearest_dnnlowp_op_test.py,sha256=cPJyJXozrzRAUZ2iOhAtaNInYdCI3p2fnHIBVxCrBL8,2077
caffe2/quantization/server/sigmoid_dnnlowp_op_test.py,sha256=cm0R4PNzG0LFXfucgb-pnMgBry-KVsRXkoDRPPU99cQ,2276
caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_test.py,sha256=WkJ2VqFZ_2bBhly70ExRgAiGxw_ZbcsAGpjJudOeLCo,3894
caffe2/quantization/server/tanh_dnnlowp_op_test.py,sha256=iOaeDuoVesrrM9gzcATAOPOYYAkzBgmzpAXnb5_57Ps,2200
caffe2/quantization/server/utils.py,sha256=V9LZQuGfAChUR0nSdu94Nt6NLcpAHdsQWKgMcQ4ufw4,14394
torch-1.1.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
torch-1.1.0.dist-info/LICENSE,sha256=D8rtTw5JCB1ibrQkGBPBxIpHD1STBO6coVyTEzy5FEw,3215
torch-1.1.0.dist-info/METADATA,sha256=yqqQW3IC5ULnoLTdEvDK6BdkFicqCgx6bNtNC-4M8L8,257
torch-1.1.0.dist-info/NOTICE,sha256=Pl7mnRQKiYU2Nlr4ei06Dxb69eUgXwUM4TIMcGxozxg,16599
torch-1.1.0.dist-info/RECORD,,
torch-1.1.0.dist-info/WHEEL,sha256=S_mX8sP6H8AMjLVRL5jkNlK73uf4g6NGqiKQ98w1PV0,106
torch-1.1.0.dist-info/entry_points.txt,sha256=tBq08xjcH6FU5Cd99g_eDv6XmGLc7aO1BsAza1OiF0o,167
torch-1.1.0.dist-info/top_level.txt,sha256=uHC5XEIL5DFf-nwoASf9DqxKXwF1F-MWCjhViLjmUHA,13
torch/_C.cp36-win_amd64.pyd,sha256=haMenwE02mbJmaC49s8OT89tmhKdLtmV5v30KpId5BY,10240
torch/__config__.py,sha256=OaZcOX_oXmcJKjJXiYPPw6aurL1rE8ldIY2Xm5ZoUk8,339
torch/__init__.py,sha256=OYRYWximPDk398cB_HlNiJ4fpjQwV0RxnoGSKBhE_2c,10055
torch/__init__.pyi,sha256=oZKYdQK7i6HbehOJtWgBC590h_v2tsQnwDiX1JMEoWQ,97534
torch/__pycache__/__config__.cpython-36.pyc,,
torch/__pycache__/__init__.cpython-36.pyc,,
torch/__pycache__/_jit_internal.cpython-36.pyc,,
torch/__pycache__/_ops.cpython-36.pyc,,
torch/__pycache__/_six.cpython-36.pyc,,
torch/__pycache__/_storage_docs.cpython-36.pyc,,
torch/__pycache__/_tensor_docs.cpython-36.pyc,,
torch/__pycache__/_tensor_str.cpython-36.pyc,,
torch/__pycache__/_torch_docs.cpython-36.pyc,,
torch/__pycache__/_utils.cpython-36.pyc,,
torch/__pycache__/_utils_internal.cpython-36.pyc,,
torch/__pycache__/functional.cpython-36.pyc,,
torch/__pycache__/hub.cpython-36.pyc,,
torch/__pycache__/quasirandom.cpython-36.pyc,,
torch/__pycache__/random.cpython-36.pyc,,
torch/__pycache__/serialization.cpython-36.pyc,,
torch/__pycache__/storage.cpython-36.pyc,,
torch/__pycache__/tensor.cpython-36.pyc,,
torch/__pycache__/version.cpython-36.pyc,,
torch/_jit_internal.py,sha256=y9rjq4IcXFs2_pFDQ8ArvxvIj1TGINujhuMA-3hcci4,7895
torch/_ops.py,sha256=G2HgFJIfFuQN5349z-2EJbxuX8PDR1guDIuJhN0Mo6k,4284
torch/_six.py,sha256=CwcC47EiQXh9sJfg_LQZg-AODrMFZsE3MPt2fNSMpoQ,4609
torch/_storage_docs.py,sha256=CHJ3SEDfoBq7kt1TXF8zOdlrV-RIc9z-fhZVPjOBios,1253
torch/_tensor_docs.py,sha256=jnyiKSU6T0L884qPC8E97BAi8A87OzHsDP1zkPv08gw,78442
torch/_tensor_str.py,sha256=YJttIaARuzUmf8z5bxuSLwB-b1WAJgRk_vAkAJEAV80,12192
torch/_thnn/__init__.py,sha256=JnWW-KMV1FE0WZHMrO2eJsDvPGrQzQ2xENaShMPgMFY,2334
torch/_thnn/__pycache__/__init__.cpython-36.pyc,,
torch/_thnn/__pycache__/utils.cpython-36.pyc,,
torch/_thnn/utils.py,sha256=s2yyFqmMyXdd4pw99Wzr0I8R-cuHLKcASTeS_Kn-YEY,3972
torch/_torch_docs.py,sha256=F7REeBYgknTsWYy6nSltNDjCmcRjwnyuHZggwQC0Aek,212669
torch/_utils.py,sha256=bOLbUW1hw4I5C4lzogmLz0pn8i4b9MgeSSKLZqMs8_w,12748
torch/_utils_internal.py,sha256=_e5PEPwA21-qeanD0-Jk-b5Kc8ylM2suuHUE-PjS_QU,977
torch/autograd/__init__.py,sha256=fYaz_B7Z7aE2DYlqp1E0ca04Hg5oRgDp7tNEbvodHKE,8825
torch/autograd/__init__.pyi,sha256=sxCNq1As07cquunXZDuyre2HfSWZsDwA7H8_CKsdUhw,2711
torch/autograd/__pycache__/__init__.cpython-36.pyc,,
torch/autograd/__pycache__/anomaly_mode.cpython-36.pyc,,
torch/autograd/__pycache__/function.cpython-36.pyc,,
torch/autograd/__pycache__/grad_mode.cpython-36.pyc,,
torch/autograd/__pycache__/gradcheck.cpython-36.pyc,,
torch/autograd/__pycache__/profiler.cpython-36.pyc,,
torch/autograd/__pycache__/variable.cpython-36.pyc,,
torch/autograd/_functions/__init__.py,sha256=2BKAmbR-G3X0s8bkWO4F9V6Lrg3Wof12SYHitwkUtwE,37
torch/autograd/_functions/__pycache__/__init__.cpython-36.pyc,,
torch/autograd/_functions/__pycache__/tensor.cpython-36.pyc,,
torch/autograd/_functions/__pycache__/utils.cpython-36.pyc,,
torch/autograd/_functions/tensor.py,sha256=bP35BQAY7duDSugXl6xNZRuJyTH7WcnUPlACPZeCCBg,1739
torch/autograd/_functions/utils.py,sha256=GmkmX77wnT-PHxgDur-fkX6jS4GfpxDivLX69rGgjlw,2848
torch/autograd/anomaly_mode.py,sha256=eiuCyNYGpCEHdQOoFU1SOWJUQT8k9plirKwX7g2ltqg,3956
torch/autograd/function.py,sha256=ccy6qdP7h4_dZ_LuUCFLWi2ujDAn3BMc1BSVzX6xL_4,14886
torch/autograd/grad_mode.py,sha256=JyZ0eTBk0I2JuUSPwXo5a_qtuVhb8TCwYwSUQvMz3us,3662
torch/autograd/grad_mode.pyi,sha256=ZBL2Ghr10id34mIiB-J0PRn3TwFVRJ7OYr0eWYWs47g,728
torch/autograd/gradcheck.py,sha256=VMuC9GtpCdnlcvUcvLFg_0O47r1npN0YdLHxTlDKcu0,17781
torch/autograd/profiler.py,sha256=merJn7ACKbz-fASQnsoSnXVmSIIEHjBXM0fn_uUl_wA,28584
torch/autograd/variable.py,sha256=rZo8XmDWnMaTTINg5FU7BixqdV-ZREyHhjRR3TsjNSM,376
torch/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/backends/__pycache__/__init__.cpython-36.pyc,,
torch/backends/cuda/__init__.py,sha256=tBXNAjem0GYY-rBYYdYoRUXSlXMIvXkWpmmim3nOKIk,3743
torch/backends/cuda/__pycache__/__init__.cpython-36.pyc,,
torch/backends/cudnn/__init__.py,sha256=3b7yda-Xb5_GRSF3hlT4fjhq0O4TGKvNUK0Qk-biEw0,14723
torch/backends/cudnn/__pycache__/__init__.cpython-36.pyc,,
torch/backends/cudnn/__pycache__/rnn.cpython-36.pyc,,
torch/backends/cudnn/rnn.py,sha256=dipfQt9Mck-N8O9BSztrsda74ckuA2kYjnWdlSxfnJQ,1735
torch/backends/mkl/__init__.py,sha256=r9kiDm6xz3SCYZr_09nfN0XPi5nJKqaOnLUbhd1OekQ,131
torch/backends/mkl/__pycache__/__init__.cpython-36.pyc,,
torch/backends/mkldnn/__init__.py,sha256=FGD1SZByp_lUY_IbPtWpMlE6y0BW138KJiG1CLo3YRw,138
torch/backends/mkldnn/__pycache__/__init__.cpython-36.pyc,,
torch/backends/openmp/__init__.py,sha256=N4zGXZYyTi9uqrgZci2Ni20wQWTH2lj1w_Qs3IpDVA0,137
torch/backends/openmp/__pycache__/__init__.cpython-36.pyc,,
torch/bin/protoc.exe,sha256=vYHK7Kf7bjUPkgOapxAUfqVA4battKTqC8aMBcz1J3w,2894336
torch/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/contrib/__pycache__/__init__.cpython-36.pyc,,
torch/contrib/__pycache__/_graph_vis.cpython-36.pyc,,
torch/contrib/__pycache__/_tensorboard_vis.cpython-36.pyc,,
torch/contrib/_graph_vis.py,sha256=L3Dc1_bN_bHXmyqe_vFaTV2mTW3WUpbxqcudR-tH1IY,2735
torch/contrib/_tensorboard_vis.py,sha256=do9A1EeePIRxGQJzUUj0ROjkGIqb_fIt6wb_rrOB-Ug,5991
torch/cuda/__init__.py,sha256=l3bNlPAZjW6TQwLpUbtHtxKK5ux6lwFsN1wD7xGRB3U,22315
torch/cuda/__init__.pyi,sha256=qyiWuQ7BU4vsHUmK6YupSvnb6N1cEorCerRmFdcse1s,1486
torch/cuda/__pycache__/__init__.cpython-36.pyc,,
torch/cuda/__pycache__/_utils.cpython-36.pyc,,
torch/cuda/__pycache__/comm.cpython-36.pyc,,
torch/cuda/__pycache__/error.cpython-36.pyc,,
torch/cuda/__pycache__/nccl.cpython-36.pyc,,
torch/cuda/__pycache__/nvtx.cpython-36.pyc,,
torch/cuda/__pycache__/profiler.cpython-36.pyc,,
torch/cuda/__pycache__/random.cpython-36.pyc,,
torch/cuda/__pycache__/sparse.cpython-36.pyc,,
torch/cuda/__pycache__/streams.cpython-36.pyc,,
torch/cuda/_utils.py,sha256=EQf3IGSY-2vnrbzv5_3fTZ0uQLbKYLgem9SUV6ZhUA8,1386
torch/cuda/comm.py,sha256=PUaaq6wsY9dRM_xm5WtizSwnLLd7q20mSwOwZaC1h78,6943
torch/cuda/error.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/cuda/nccl.py,sha256=Wk7qwN5rv_T8uXSrkOnnytBZMYKq2mvw4tfuaXl0syI,1707
torch/cuda/nvtx.py,sha256=A4Y95Yvjz8RE1h-SyZ0rlHhdTc9_V7qJRvcohvCjzyQ,2108
torch/cuda/profiler.py,sha256=Bgrp6ujb4Q1CxbMEaA8gACLmmtR0De2GayM4KRNEz8I,1420
torch/cuda/random.py,sha256=lmRIxOOx5uyzpsc-adsDvoEcHEfnAlWkajENBe2lpF8,4067
torch/cuda/sparse.py,sha256=Fz_B2EnQ-a1-gPpkiuaOykIin7tXmT-CeLj7YflcloA,68
torch/cuda/streams.py,sha256=8ux4rVcECccqNEOPYNLt8tKaBkz1H-3y2WD8fw1plQE,7117
torch/distributed/__init__.py,sha256=pPgEy2uTpJiKilhgwsYoUgAQs24owtVNIBvvWis7DWg,505
torch/distributed/__pycache__/__init__.cpython-36.pyc,,
torch/distributed/__pycache__/distributed_c10d.cpython-36.pyc,,
torch/distributed/__pycache__/launch.cpython-36.pyc,,
torch/distributed/__pycache__/rendezvous.cpython-36.pyc,,
torch/distributed/deprecated/__init__.py,sha256=aOYW2gfggUuKfUMub8x3bH5xAkMCfuPYgITntv6bghE,22093
torch/distributed/deprecated/__pycache__/__init__.cpython-36.pyc,,
torch/distributed/deprecated/__pycache__/remote_types.cpython-36.pyc,,
torch/distributed/deprecated/remote_types.py,sha256=khf1SOnGUkCcxAYUmVMJdgQ1kQtwP2_9Si0BXovMqyM,1703
torch/distributed/distributed_c10d.py,sha256=x8fBKColwBNtk9wVP-C5T7JQ_51BzmK2PfgKtRYWPso,47607
torch/distributed/launch.py,sha256=t5d9wUgoyYAM6meNYZi2TEgO8Hl57StDneod3UqWQcc,9604
torch/distributed/rendezvous.py,sha256=P5hHXdM2kRviNM1S-H8_V92gc6DZ-fHzyAlrh1Z4mDk,5319
torch/distributions/__init__.py,sha256=tJtFfmsxKNFMpyW_Wk58l3SgOsUhbDlO88YWTLl-BOE,5605
torch/distributions/__pycache__/__init__.cpython-36.pyc,,
torch/distributions/__pycache__/bernoulli.cpython-36.pyc,,
torch/distributions/__pycache__/beta.cpython-36.pyc,,
torch/distributions/__pycache__/binomial.cpython-36.pyc,,
torch/distributions/__pycache__/categorical.cpython-36.pyc,,
torch/distributions/__pycache__/cauchy.cpython-36.pyc,,
torch/distributions/__pycache__/chi2.cpython-36.pyc,,
torch/distributions/__pycache__/constraint_registry.cpython-36.pyc,,
torch/distributions/__pycache__/constraints.cpython-36.pyc,,
torch/distributions/__pycache__/dirichlet.cpython-36.pyc,,
torch/distributions/__pycache__/distribution.cpython-36.pyc,,
torch/distributions/__pycache__/exp_family.cpython-36.pyc,,
torch/distributions/__pycache__/exponential.cpython-36.pyc,,
torch/distributions/__pycache__/fishersnedecor.cpython-36.pyc,,
torch/distributions/__pycache__/gamma.cpython-36.pyc,,
torch/distributions/__pycache__/geometric.cpython-36.pyc,,
torch/distributions/__pycache__/gumbel.cpython-36.pyc,,
torch/distributions/__pycache__/half_cauchy.cpython-36.pyc,,
torch/distributions/__pycache__/half_normal.cpython-36.pyc,,
torch/distributions/__pycache__/independent.cpython-36.pyc,,
torch/distributions/__pycache__/kl.cpython-36.pyc,,
torch/distributions/__pycache__/laplace.cpython-36.pyc,,
torch/distributions/__pycache__/log_normal.cpython-36.pyc,,
torch/distributions/__pycache__/logistic_normal.cpython-36.pyc,,
torch/distributions/__pycache__/lowrank_multivariate_normal.cpython-36.pyc,,
torch/distributions/__pycache__/multinomial.cpython-36.pyc,,
torch/distributions/__pycache__/multivariate_normal.cpython-36.pyc,,
torch/distributions/__pycache__/negative_binomial.cpython-36.pyc,,
torch/distributions/__pycache__/normal.cpython-36.pyc,,
torch/distributions/__pycache__/one_hot_categorical.cpython-36.pyc,,
torch/distributions/__pycache__/pareto.cpython-36.pyc,,
torch/distributions/__pycache__/poisson.cpython-36.pyc,,
torch/distributions/__pycache__/relaxed_bernoulli.cpython-36.pyc,,
torch/distributions/__pycache__/relaxed_categorical.cpython-36.pyc,,
torch/distributions/__pycache__/studentT.cpython-36.pyc,,
torch/distributions/__pycache__/transformed_distribution.cpython-36.pyc,,
torch/distributions/__pycache__/transforms.cpython-36.pyc,,
torch/distributions/__pycache__/uniform.cpython-36.pyc,,
torch/distributions/__pycache__/utils.cpython-36.pyc,,
torch/distributions/__pycache__/weibull.cpython-36.pyc,,
torch/distributions/bernoulli.py,sha256=Dpq7c6Jl5DzxKfSY8hsBSOT28dHdAdz4fR_xglWHFTY,4016
torch/distributions/beta.py,sha256=I9YLKmvhce_BpXlRF5FQaRpuAVQJWh64Jojbiz1yCmU,3596
torch/distributions/binomial.py,sha256=jZol2e-5CClJofckWpMliTvMnS58eZg6g_20eGRxVtQ,5430
torch/distributions/categorical.py,sha256=ojpZsHKn5qTVhbI4UzURW6a_kslzdrbT8G6gWv26ptM,5097
torch/distributions/cauchy.py,sha256=Ou9woX78OTJvp0SpCT91uMwHjfXwbgQqP4DIK8_kNYw,2804
torch/distributions/chi2.py,sha256=j1ORuaCUhnVwiDWb3dTfZc-StFW6ZwG_-Gi1R1S6_9k,939
torch/distributions/constraint_registry.py,sha256=BM-kVFCcU9XPslv3TD6jhrZewq9ol_qaQv3VQpDIDZY,8774
torch/distributions/constraints.py,sha256=nvpMzWxkHFDba8Ff4WznKr-I_M1baLyGb5ODBFK8HMA,9309
torch/distributions/dirichlet.py,sha256=GzG5-KBh4FVmdA47aHTDdSo5O2zt1irK4fcnJAJpflM,3651
torch/distributions/distribution.py,sha256=zVC2X-wklNjzA6TJGvFSd0L4SdBtCAnRsUtf_ju3McM,9926
torch/distributions/exp_family.py,sha256=FTQ6zejG_7bPU7hz2oDGd2bdT_p6481Kyomckhq1kIU,2343
torch/distributions/exponential.py,sha256=a0Ycgre0aCZiDkCcx3RBKck-nspl7UVYdu5RJWzo_YM,2681
torch/distributions/fishersnedecor.py,sha256=eEdiaFksJJ60H7RAxhfh2esTQbz7c0mC0NbjvIh5JfA,3161
torch/distributions/gamma.py,sha256=Lre4PXg1UYN6QPTTch4CUdAjD5pvK4c5ZEIG_4ROTiQ,3115
torch/distributions/geometric.py,sha256=j-zx4P0ZqhM9AQn9eL2htlIRw0Lp3_pe8nAR7OIUa9s,3862
torch/distributions/gumbel.py,sha256=oydYcNcsMs3dkeAXh0es6WiIWlgFJ1Dm3ZbGLwFRTRw,2650
torch/distributions/half_cauchy.py,sha256=i29gGbYWGgOyhs21gqPs6qR4oLb2581G8VS5seZsSxs,1924
torch/distributions/half_normal.py,sha256=4mhpXc7WMon5mBtUtP3w_7gffyp_2OozJnqwOzkC1UY,1954
torch/distributions/independent.py,sha256=BGPsQeJOhUpfFqhAZq9-RLUP4taK9FIETuJMPlp8SJQ,4117
torch/distributions/kl.py,sha256=13uHWmCKJvKKG5T8DAW2uHFEUJctGgSpHnNeofudyc4,28072
torch/distributions/laplace.py,sha256=hBjkA510SHuJ3kUn5iL_YQAP0wJ1ADguzXXNBAzGGOc,3211
torch/distributions/log_normal.py,sha256=GtZNLe--61r6_4g9YLlN92Q5FaTuGu63a6jxTLO-Hbk,1797
torch/distributions/logistic_normal.py,sha256=et7fDYSUWoV_4w3ffTZRsSnUNDNzwosU9SlZIiHi-Fc,2065
torch/distributions/lowrank_multivariate_normal.py,sha256=T7HN9F2X7a1ek7AFQnLtrcUGuI9zUvj7eRPeKoNz-7M,10029
torch/distributions/multinomial.py,sha256=2WXlMtZydfGMB2ezaymMheThBctKuEebiEf6Q9RXLxU,4371
torch/distributions/multivariate_normal.py,sha256=nwtipT04MH0NQWRgo5cuWjCAbYmRQalaGgskrLZwemQ,10140
torch/distributions/negative_binomial.py,sha256=x4-u7qV3SAMPTzLj3qFMtK7qsS60mJokcuJGUUkcDWc,4046
torch/distributions/normal.py,sha256=kuzHMNfcbp5Ysbz_LlhKrpBRtax4ldC2J2CDEkPKn1s,3497
torch/distributions/one_hot_categorical.py,sha256=ojxgP0EobPa0au3Scu1K-_uI-UpvwN2dErxFyKRfN9g,3459
torch/distributions/pareto.py,sha256=R50_qxwn9xmiBIPliqfWZh2XS97NGT8x6M0P23Ej94Y,2065
torch/distributions/poisson.py,sha256=Rivaj3IofIt_JV-mnVvckW2rT6wjJZpoOX38h9VzEFw,2136
torch/distributions/relaxed_bernoulli.py,sha256=Y__x_HHM06Bq3_n4mG0TQVQb6vfokQ8huynqiI3ZBRQ,5497
torch/distributions/relaxed_categorical.py,sha256=Ak_oivtUYGfqd1bP3C_gzzL1SrOsJIRtuSakN3MVRS4,5204
torch/distributions/studentT.py,sha256=StgHGJugERbt9Slh1B-A7MucraVvUKi9dcOnaWyQ63E,3567
torch/distributions/transformed_distribution.py,sha256=vqDDd7AxkKOQw3TiTz10KTW-3MYwpAPgy1COxSdaujE,6745
torch/distributions/transforms.py,sha256=t1rHIQcLllu7divSfqi_ERMJmdFZjXBx6WQec6g3u6M,16758
torch/distributions/uniform.py,sha256=7tMCC-Mzxa2LQIeErRZj0hGNEkDnpqHpR-13fK21H9A,3156
torch/distributions/utils.py,sha256=eaRNrUcShHiFzoK1ujK64STR31BegGD4q5UwIuBvPSw,4019
torch/distributions/weibull.py,sha256=FDLhNi3Pff0r2ofKxJziv0CUIqCtiIEHEKV_a_rgVL4,2887
torch/for_onnx/__init__.py,sha256=DUJuNCXf_JHho0UhYqCIiN-SQHchKYFtw4t7EBRpKgw,35
torch/for_onnx/__pycache__/__init__.cpython-36.pyc,,
torch/functional.py,sha256=I1uvJal4yZ6s9PVORM2UMoY5OW7xeBF-8FNwXL6lrmI,44095
torch/hub.py,sha256=_5nmb-B6yUFeZ6XkWfvm_U1NI3TsNcLvJpLSqSpeEXE,15048
torch/include/ATen/ATen.h,sha256=dJ0_jv7g7URL3PKNVoKQIWTrXyctmxs49r2mELG9nU8,730
torch/include/ATen/AccumulateType.h,sha256=cixCwI52BXiVCzuouQfDnIOJZBHfWEzKfAptI0HG8Jk,1977
torch/include/ATen/ArrayRef.h,sha256=4zYGzRZtvYteRd__xp5pu9VciucD8IIzuVMs3A5Dp6k,46
torch/include/ATen/Backend.h,sha256=-GO1LYCj0b1jHvhCo90emKutow1cpN3rM32YAP9T_Co,45
torch/include/ATen/Backtrace.h,sha256=SlqFuyqN3PvlfyP68y1DEnFdWQUgLcNM0gmR3E_8a_I,48
torch/include/ATen/CPUApplyUtils.h,sha256=noZdFw3FJjlwmz5OgBl5F2F-RQc2qfy_KKrd71QwYUw,15433
torch/include/ATen/CPUFixedAllocator.h,sha256=uPZQhHGbTjqq-xClRlwW-mHwcybqdDkIp02u3DCweDc,848
torch/include/ATen/CPUGenerator.h,sha256=diSs3uRcZHZMOGHIBlQKlAZSQ7JfEFwZfDBzOaB3Vzg,821
torch/include/ATen/CPUType.h,sha256=7bGCqpMreIHnwgguez2xAV4f_psfmoD5-qmnuHxuRSU,79965
torch/include/ATen/CPUTypeDefault.h,sha256=sKcgA4inOIN_GyEwFhV1Y1JFZYKKFPLro05JEz60nRY,440
torch/include/ATen/CUDAGenerator.h,sha256=gjpR1mpsb9YCDb9V3a-EexOafUGdUm6Pq976xdyXeYE,804
torch/include/ATen/CUDAType.h,sha256=HQHjXMeoSUHVDOz5WXaXOPQIh2OnEZBQcDjkS2QX08I,93901
torch/include/ATen/CheckGenerator.h,sha256=yxlJWOPwgDnid4_laHxJWbXpU9r7WSa1UFbrVT3uIUk,450
torch/include/ATen/Config.h,sha256=LvHK0a3uGiPLFpjTDYWAZV0VsI9QUAZcYgtDR17pgOE,472
torch/include/ATen/Context.h,sha256=PsCtqpeWPTgvjjBpfmr5UniK2hY813Dhmr5m9hNIlH4,8916
torch/include/ATen/DLConvertor.h,sha256=6H0urLtopE_KFWQZMazrRNvKuBBzF-qV7Wqf6OieELg,461
torch/include/ATen/Device.h,sha256=PjTFxYOH8EE9gj2HbfmHkdVKNk0X1KBYoNoZgM-CEXw,44
torch/include/ATen/DeviceGuard.h,sha256=WxFpARW9htzLRTwl2myQfwmPIheiFOF2MEMGFS9GVAs,1015
torch/include/ATen/DimVector.h,sha256=UPELKgtkpIVtPe50MeJeVbzFzbmSSnd95P3eRfyVwbs,48
torch/include/ATen/Dispatch.h,sha256=HhVI6f5n9tYOgjBzQJtQt9OwQNOAB289qWRa8nmflS0,19523
torch/include/ATen/ExpandUtils.h,sha256=WddwDWEshGby_-axppB0CoSJyJVi581COXFcC1wu4Kk,6693
torch/include/ATen/ExtensionBackendRegistration.h,sha256=C1abrtN8bFoPLBjW-I42H-USqV6JSVvKuWewoPhy60s,621
torch/include/ATen/Formatting.h,sha256=aDSVbqYGSFP73pWYd8X5cz7TwYLpZwHm9EtvITHprw8,35
torch/include/ATen/Functions.h,sha256=zKM42ogf6rdNA0TxTbWHHYNtDh8v3yAxVPU6bJ7cmAU,500048
torch/include/ATen/Generator.h,sha256=IsmYQ8-OVWES4O4d2Cw2zJ2zUCcVNnQtwmBJKM68P4s,48
torch/include/ATen/InferSize.h,sha256=V7WKf-xp2H9IZWXHk87ZcC2i6lThCbYqOjtWNuC-5zY,1754
torch/include/ATen/InitialTensorOptions.h,sha256=3Vqis3s6eoeXHe8voaVT9OgDWf0m4G69kXZlFNBwkGM,479
torch/include/ATen/Layout.h,sha256=uHy5slYoQiyLads1R9kjGHbFecuijeOHhHvtIxgnmOA,44
torch/include/ATen/LegacyTHCPUBoolDispatcher.h,sha256=Z-znvi4aOc_tBo8MWgIYwHSJ4tCKqTJwgDNxUPfLjzQ,253
torch/include/ATen/LegacyTHCPUByteDispatcher.h,sha256=0rkrrHGtQdmPOTNT1Q7RqfxaGMeVFJ7JaBPSE0YMCyk,253
torch/include/ATen/LegacyTHCPUCharDispatcher.h,sha256=XZ0-uSHe-KyE6myuqUpWIiv8WX4gDdRQ3ev7miAi5OI,253
torch/include/ATen/LegacyTHCPUDoubleDispatcher.h,sha256=hnLcdM8-YKzys6pa1Ybo0PaPo1BTH9Z_3aX8ufASuwA,257
torch/include/ATen/LegacyTHCPUFloatDispatcher.h,sha256=nPJjFMsmjK4pk4QyUvQJ2TSKJJ1zZUDsOjJDvvyNpsM,255
torch/include/ATen/LegacyTHCPUHalfDispatcher.h,sha256=VIL69DquoI9iBqn2TcEXLnK_70gNZFdcVuFnEjl80CI,253
torch/include/ATen/LegacyTHCPUIntDispatcher.h,sha256=eiWut8H5HYJClsG5mv7O_na5ZGCVfeDg2gdBG6yGaXc,251
torch/include/ATen/LegacyTHCPULongDispatcher.h,sha256=2B-kn2_WF8UzoDbGaCzE0ZCPkkuKPETAxiYKfbfuCv4,253
torch/include/ATen/LegacyTHCPUQInt8Dispatcher.h,sha256=wASoEWig44X0u7wcd4T0EgwzDYPhGSfQYv9syls-sog,255
torch/include/ATen/LegacyTHCPUShortDispatcher.h,sha256=nGUSvDdud-eRVzcugDic1QWD8-NJgFSwugiRWh8XDSw,255
torch/include/ATen/LegacyTHCUDABoolDispatcher.h,sha256=rVDTwI7tAovCCYqUE6R5fiXqBXlx39SgmlHjMMuyEgw,255
torch/include/ATen/LegacyTHCUDAByteDispatcher.h,sha256=UnsmRX47kYifc7NhIvIISgx01GOS665u8J0xQJqZEPE,255
torch/include/ATen/LegacyTHCUDACharDispatcher.h,sha256=Oh2m_7BQrYV1Iz3xSlIego-TjjyS8kg-w-GFfl6rZN8,255
torch/include/ATen/LegacyTHCUDADoubleDispatcher.h,sha256=zcAdiPsw9q0ntraCGy_Iz8EpMl9XVaPO0ybsuHZglJ0,259
torch/include/ATen/LegacyTHCUDAFloatDispatcher.h,sha256=sedw11-NlTX_RLCW3TZcb20Odz3VNhZey_NsdtoZIPo,257
torch/include/ATen/LegacyTHCUDAHalfDispatcher.h,sha256=WtYb-z-ryfk3dilOdL-ecbeLEhP0AcMPAP27l9ppSj4,255
torch/include/ATen/LegacyTHCUDAIntDispatcher.h,sha256=HBEoOoThxX85gvo55lWbDqbqvvGk9XWL1oQdGuS8aXU,253
torch/include/ATen/LegacyTHCUDALongDispatcher.h,sha256=mdbU4MtpFCKOBSFJ_sKdYFsk3hV2L6yJY9DlhyePhoc,255
torch/include/ATen/LegacyTHCUDAQInt8Dispatcher.h,sha256=l0ghd4kNPILpDkFLNTZbRyLvSDY9DiASchbXgzfW8DA,257
torch/include/ATen/LegacyTHCUDAShortDispatcher.h,sha256=7UzIn0Mu-zumxQe9oScbiX2UhNmZuKy9lcGYL_XDNsA,257
torch/include/ATen/LegacyTHDispatch.h,sha256=XV5-TTNUs3AIb7YInlG0pg_4n6jQ67PshUCPzJl-cto,5179
torch/include/ATen/LegacyTHDispatcher.h,sha256=4Usy0KMHr8Gy0IBSTtBElpAhOZDnTnMGcuh-bbAGjs8,353
torch/include/ATen/LegacyTHFunctions.h,sha256=Us6f8L9Lh54ibex0NfU6xhoVV3n7oqHKDOKwklmN9XQ,889
torch/include/ATen/LegacyTHQuantizedCPUQInt8Dispatcher.h,sha256=QeP7Lrv9NR8eTgiRS0TJWnsR6GX-DjLWNLjIci4inJs,273
torch/include/ATen/MSNPUType.h,sha256=IZcLNNV5-4UMvnnIQDkOXDMzeQQ3ms4h5YV76tqpd4k,195137
torch/include/ATen/MatrixRef.h,sha256=29-Kxh6URJdGLqcDtznYLbPmeYSjaV1dR7UebvI33yo,3110
torch/include/ATen/MemoryOverlap.h,sha256=wPaTrS4StF6jrNw994DQyqO6r0gV8vhR4CdxisjI7xs,682
torch/include/ATen/MkldnnCPUType.h,sha256=Z3sZUMQDm-0ptIpM6mLyuu2E5sBU2Hv9DDUIvoPJOZw,2417
torch/include/ATen/NativeFunctions.h,sha256=kKR_R1H0-oiEnGBsWjk5y0R8df7EhABWr2ad_woG3N4,159492
torch/include/ATen/NumericUtils.h,sha256=60T6o7MokklxvSQ8EE7X7b7Y6AH2qhFekSJbowoDgqo,557
torch/include/ATen/OpaqueTensorImpl.h,sha256=WdeLMB02q6YQB8TwNVv0u0RUoiZyO4LJkL3ADxnjcX4,3960
torch/include/ATen/Parallel.h,sha256=SPq_GD79izE_8UTGsu7zcHbqe0e-nBAv4CCVBdwQOng,4758
torch/include/ATen/QuantizedCPUType.h,sha256=NUYWnd8VPpWMYcly_Ah0T72pfC6rGprJHEW-IRN9rdQ,1426
torch/include/ATen/RegisterCPU.h,sha256=c4AU0Wi0EublPIdO85r_GAimNVbF4AVvltYKFxnNkOc,157
torch/include/ATen/RegisterCUDA.h,sha256=aNBqHwThr6DsEiWWnlNgjzy2e-Bn5nuGz4sOPkGUA-g,158
torch/include/ATen/Scalar.h,sha256=xdFJVWXQK44860D9dbtCrS_dIekAxuHnaeKlrvfLzCw,47
torch/include/ATen/ScalarOps.h,sha256=5IAIIf_t1-CrT59pwUp_9D_Td6cD33VInVD2Wxe_YNs,629
torch/include/ATen/ScalarType.h,sha256=ex-_jwtx4oUXviBFRBVrRVkJtSaZMsXa2JELvxRT0DU,133
torch/include/ATen/SmallVector.h,sha256=SHoiKu_mdXsJq0UTlSdElvvXCBP0ZJsjBsdxMS7B4so,49
torch/include/ATen/SparseCPUType.h,sha256=opIkWkLCdibXZVY-Q2NVGkbiPH_7EaKQMR2nHRkWIcs,4202
torch/include/ATen/SparseCUDAType.h,sha256=5-mDDlrgnDdjkN8ELQ0xprRzvnMQoJz4-audfkDW-Bg,4349
torch/include/ATen/SparseTensorImpl.h,sha256=qSweFWZAPb1JujLd09En-NGRCpmorqyYaflZwkvuF4Q,11038
torch/include/ATen/SparseTensorUtils.h,sha256=TQ4MxC5Br237dckMsEUR-MJSxDV76TtNiBg40TqIb3E,5558
torch/include/ATen/Storage.h,sha256=VcWXKctsV2y4A-q7YACqbA4B-hRxu9XrxPQlfE5xByA,45
torch/include/ATen/Tensor.h,sha256=fWOuXe-cULiqZeK4hd4D82pHe00vFRb0OUtDCIbloZk,45
torch/include/ATen/TensorAccessor.h,sha256=XVhywuAjpY8Wo1NnE-1OJJLRc3Rg6LOMvK6CoD8cI1I,53
torch/include/ATen/TensorGeometry.h,sha256=vDx-pUtCMqr_cqniH6rsiANqDUWa2apju8jBDFk4_GQ,1905
torch/include/ATen/TensorOperators.h,sha256=YunIyJtmpQNu6lpwCzOfIa-XCMYaYa9OUX4CBqa8oHw,2853
torch/include/ATen/TensorOptions.h,sha256=uSxXHUaxx0nKq6iXL8iu4qgb0XuWEADFDQmlNWslCXo,51
torch/include/ATen/TensorUtils.h,sha256=3fLio8uGUsLIt_aBDe09xJlQOCj7AXA6XjpcbD8mvss,5139
torch/include/ATen/Type.h,sha256=O9Y1tXY-lC3uEoNIauyB32uP-jMWcfznszQacCL19iM,43
torch/include/ATen/TypeDefault.h,sha256=xSMr8H13mIIFkh8ljipEf8LN0yZPcvmD84V1L83CJ5g,202243
torch/include/ATen/TypeExtendedInterface.h,sha256=NYbQhGCu5zmv_wq0JApWD0w6imHuZPFqPiNUHi-M-O8,172710
torch/include/ATen/UndefinedType.h,sha256=rwdEIusD4kzO2u2a35_GJilV-JpSZvuHh-ZCsUg_cgc,869
torch/include/ATen/Utils.h,sha256=7UylI19EboVasnxdGRqRLGuxg-7NkvUtcLWI4C2QrZA,4639
torch/include/ATen/Version.h,sha256=JLHyQ_OI6_CnhxAYPPN9J7vgKO2S7VbY4v70DzunMv0,177
torch/include/ATen/WrapDimUtils.h,sha256=avCFCzpJqzEvhF4Ab3WbbDCvZ8OLWQqPOIP0b3D0Ano,2804
torch/include/ATen/WrapDimUtilsMulti.h,sha256=lnj2YCgfhNwpFL__t22ftzGNS8ewxXKKfyigYiwGC8k,788
torch/include/ATen/XLAType.h,sha256=3xayQah_UrmVneKJlb59tEhAkqgmXD-jenwM5CQ52zI,195131
torch/include/ATen/core/ATenGeneral.h,sha256=IQQc92i1DuPkEZ7sKJ4DjM6a_zEyf0Y3bVzu5wDc984,48
torch/include/ATen/core/Backtrace.h,sha256=NHY_QVjlzACvtgnyHYa9nYai5N0aO0O9-ByeuDotpOw,61
torch/include/ATen/core/DeprecatedTypeProperties.h,sha256=-J6ZVF7ecnWzNhhw4-nBoVecrAnKLJMzMwO3m0F4kp0,3937
torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h,sha256=EB3zdbsw9Fr0mq1N52elWq8GEkTe4XaYRzjGMrjpxEE,872
torch/include/ATen/core/DimVector.h,sha256=rk8JHDOlgR5UDBcaUJaxkEkd5hljLun8KuWwn45Jfcw,195
torch/include/ATen/core/Formatting.h,sha256=n_YRYy1Tn7t6wNJP47InF2nhW35obdGygJOfxHBaBFA,912
torch/include/ATen/core/Generator.h,sha256=UOu3VrCuMr4RWN2JOx6ax43y9qeXfHKdeUU_1ueU548,596
torch/include/ATen/core/LegacyDeviceTypeInit.h,sha256=lU4TyOLPRyPBA-5f9mWxcZyhSMLsmY10PcHlcg7qmbE,1187
torch/include/ATen/core/LegacyTypeDispatch.h,sha256=HV0VMotLLUzkaLZeTVi2BtOziudddut-zNdSxFSqMcM,6942
torch/include/ATen/core/Macros.h,sha256=lIumVWXLOfBAW9HOkEN7PB_Ho2NSe2TeX6jGxCQhBD8,46
torch/include/ATen/core/Range.h,sha256=47XY3n5sg3XIQ2gYgMPpTCD1RLQl32EVytCt4j7aHTw,443
torch/include/ATen/core/Reduction.h,sha256=k7aXsXumIACD5eiGE-i5rqbUI-aDK3sOU9MITJXGMGI,419
torch/include/ATen/core/Scalar.h,sha256=WPwKE4RciXVN9db99hpCLvDZAK39jlG1zlKffEFmgcQ,30
torch/include/ATen/core/ScalarType.h,sha256=gzNZUMu8I-Zts17Fg2oXY0RLx6xTqy6XK_TIdCwxAus,34
torch/include/ATen/core/SparseTensorRef.h,sha256=fllcqEKM3DN86SrBgGA6InoYRuRwvBaboIWKkUE8gfE,164
torch/include/ATen/core/Tensor.h,sha256=KOkrsvnmdCNtSt4VjabCsprKYCm1sUQeExu6xNTTqOI,34015
torch/include/ATen/core/TensorAccessor.h,sha256=tj0lsYIPHVY_z_k3gDuTzbPKDJsq03m1zQ9gUCwPv1Y,8117
torch/include/ATen/core/TensorMethods.h,sha256=rGDK1JhgsntHAt1QuWvFuBaVeHhezdKwl0AVAyJcguM,52865
torch/include/ATen/core/Type.h,sha256=ReR-2COh7QJJsL4gLTb3hXyB52BnBtoqJ36YUJyHmtM,37750
torch/include/ATen/core/UndefinedTensorImpl.h,sha256=gZf3eRbLC3HoqVKb2iiqACGBU_iTRgjareRV-Wub1DY,43
torch/include/ATen/core/VariableHooksInterface.h,sha256=SZuiBwlksd8MpNUJbFdF-NBdCKKjxWBx4kXAwjfUbj4,1729
torch/include/ATen/core/alias_info.h,sha256=a86GII9EstVZif-8h5yScmDFTIgw42g02kTZVY4wfh8,2915
torch/include/ATen/core/aten_interned_strings.h,sha256=go72zXiEWZfMucVttU0lFEaXylviCCL8Rl1N6V3LC3Q,24841
torch/include/ATen/core/blob.h,sha256=-ecdnbl9l0CGeYpGiu3WASmkCvXYhqmxhK-wIqi6I10,5709
torch/include/ATen/core/context_base.h,sha256=rkRAd6CcXcaTNbNpTEWUKe5WRbXI01Vba1si4PfyEP8,4430
torch/include/ATen/core/dispatch/DispatchTable.h,sha256=ZpsqbJeyYCqjDSOGgcOtzktuXDLQLLaWQ2s7BoOmVhU,11317
torch/include/ATen/core/dispatch/Dispatcher.h,sha256=LCm1ug1_xQIWi2IINEQZj3hSfsbma0YMrMkt_JD-23Y,7285
torch/include/ATen/core/dispatch/KernelCache.h,sha256=ReDgcvTP8cHtZlfyLT6B2DGZdy5RwmIlX_jWgMhV1wU,709
torch/include/ATen/core/dispatch/KernelFunction.h,sha256=CIXQT0_T3VNqtAbQpX2TEG6JH5S2WxdKBwjTOJFnfAs,454
torch/include/ATen/core/function_schema.h,sha256=A2lYHPyaYMB_ul61N-oiv2lA7grenaGzY_WQbyy-jOs,7040
torch/include/ATen/core/function_schema_inl.h,sha256=l8-1uh_Q_YutmC-Ae7MX-Qz60GixjnOPmySwrC-v7BY,4906
torch/include/ATen/core/functional.h,sha256=jB_pMW5XNdiJBpeQvImzpz2wyoZoZxuhrBEns7UbBxU,1799
torch/include/ATen/core/interned_strings.h,sha256=FpovOPJnBW4NchV1mGrTxQerhv88pL4dMtyJKBNbfv4,13468
torch/include/ATen/core/interned_strings_class.h,sha256=AVbNqRKPgFo8aGLCOlSn9vZRsAat0Jc5rzzPgSc7iC8,846
torch/include/ATen/core/ivalue.h,sha256=-ZgiSwIRVEfqfrOa2q5hxTySCv2IGhwtSsgotBBi-0U,31209
torch/include/ATen/core/jit_type.h,sha256=eZrGK64t03UBgh3nP3n8ch4p9Z08SOPyDCUghudeNcI,47492
torch/include/ATen/core/op_registration/base.h,sha256=FJ2XK8Wk8XPSufdXum2CZc4mQG-UnAZySCR-vjP_tg0,2814
torch/include/ATen/core/op_registration/dispatch_key.h,sha256=0joNzZDpoddVkf5YLccb3LPueOzlAMdFQ06Y1u8Zjoc,1850
torch/include/ATen/core/op_registration/infer_schema.h,sha256=UuaNJ5qjO9OTdVIhotNffBrWtpQEtCl-Zh90r3ccGkQ,3896
torch/include/ATen/core/op_registration/kernel_function.h,sha256=CJX9gKF3IazYKZJlxVjzksBYFMMW0LTeJPhWBjFN1d8,2355
torch/include/ATen/core/op_registration/kernel_functor.h,sha256=xcth-q6agWSVmCiyz0CKHNE_8oIIHvw8myigzugii2o,14884
torch/include/ATen/core/op_registration/kernel_lambda.h,sha256=q6pPknrbibrPxj_Zr4eyHscSs907w-SgML5SEdD_C84,3292
torch/include/ATen/core/op_registration/kernel_stackbased.h,sha256=5iFz9oK2oUtnmMe1ttKra5PcVtqdhNUskJQC0MqSaQs,3636
torch/include/ATen/core/op_registration/op_registration.h,sha256=-LI2gOQCSb6utEEK0-E2RHxF4c48i4tMpw6aX1pLsec,9826
torch/include/ATen/core/op_registration/test_helpers.h,sha256=dJOxycEYXqoOFEk7zzKWCHlCPRbc24oR7UZecq6LfFo,2666
torch/include/ATen/core/stack.h,sha256=keBDm2nHeW0f14enKbW8A15vkcLXrJqdtl-M9wj336o,3860
torch/include/ATen/core/typeid.h,sha256=fR5DkdL7DayDhWT3Y69CQySt_TMFIsuCFAjV4Ihc1yc,30
torch/include/ATen/cpp_custom_type_hack.h,sha256=PnWjR_LL9q3-3_2xFEdxMESOhkPSLYNYNTsuYKCkgmc,1698
torch/include/ATen/cpu/FlushDenormal.h,sha256=-Qw7N8qv1whlR1tpFK1L-oteBIc2G0VwrJ3btBed8uw,563
torch/include/ATen/cpu/vml.h,sha256=FvBQyQRgTun5GlUtzHyETyL_PsQZ-vSELqkhbOpHTeA,7734
torch/include/ATen/cuda/ATenCUDAGeneral.h,sha256=3wfZv-1kAro3RoMAsiK_oEFl-toJeWqv6DkyhiI5kTA,675
torch/include/ATen/cuda/Array.h,sha256=77kW4Qb7ymsCO7OQmKwXEgId-ZnP7kdvHscOqgnY-ls,668
torch/include/ATen/cuda/CUDAApplyUtils.cuh,sha256=K0S5zVaepXBTuuLOcImtwCf0td6ewbZ55rsurjNOEeY,53188
torch/include/ATen/cuda/CUDAConfig.h,sha256=5ay3hFNjS19DoPIj4k328ItC5juagVoYEbPj-M1FSFI,453
torch/include/ATen/cuda/CUDAContext.h,sha256=Poo-zI-uwyI_jMZv-7BEkb19xW9_tixJiaoCYg6GrfI,2025
torch/include/ATen/cuda/CUDADevice.h,sha256=9ZeFvLuLkjMQ0X6UpjKTMaMbychAEsftuGWZbIW5wHA,345
torch/include/ATen/cuda/CUDAEvent.h,sha256=XRVb8rU3q8puL1pP7s4W0etjbWC62_2-fGlCVE955N4,5823
torch/include/ATen/cuda/CUDAMultiStreamGuard.h,sha256=vXWMOTjMjMl05PAVjzygShwhnk5oqAuiUxwLFjDLxvQ,1761
torch/include/ATen/cuda/CUDATensorMethods.cuh,sha256=NMDm85ZoVJgCF5a8IDFoYtTC6cjGGLbSRwZm7k7mocM,285
torch/include/ATen/cuda/CUDATypeDefault.h,sha256=5Flki-UpUnbdkLksdQ9nLFbPyb0UPIwbqedxSQfiqTk,485
torch/include/ATen/cuda/CUDAUtils.h,sha256=MkyQPv44OU4NQNJPEgVLOYevs71ZvtlZ3i0EQZthoHQ,448
torch/include/ATen/cuda/Exceptions.h,sha256=gbXCRr2IrGG4C5jmPuCB_vhRBF48ngGaAJaydAenJic,1274
torch/include/ATen/cuda/NumericLimits.cuh,sha256=gpjyquVmElD5QPWTCRJ8VOGFXgqKItPpv2a9rXqsZ08,4463
torch/include/ATen/cuda/PinnedMemoryAllocator.h,sha256=Q2dXP_NA6nFJ_Y6ArtDVwmk00VBgldgE4bfRprlLM6M,158
torch/include/ATen/cuda/_curand_mtgp32_host.h,sha256=1mEaRX1_VzGfmKfadrW9QLLUUvgayYrnzyFne4Iti3A,1168
torch/include/ATen/cuda/detail/CUDAHooks.h,sha256=OL9FFiPXrCJLbNEJJPgu4Zudpumx1M5YrVEtiVGww_Q,1420
torch/include/ATen/cuda/detail/IndexUtils.cuh,sha256=g1Ml--PHv55q0zYk3Ifh7WaOsew4jcDOW2CdxrtSlVA,768
torch/include/ATen/cuda/detail/KernelUtils.h,sha256=wiu_e_H5V0wVLWU18YSbu--aM_z94c-uymbAl5UB074,740
torch/include/ATen/cuda/detail/OffsetCalculator.cuh,sha256=1oD2jE8TtkmbzeAmq-YG5B7ROGhd8LxIKWE31hF7XYs,1715
torch/include/ATen/cuda/detail/TensorInfo.cuh,sha256=Wl1M1_YNVE16sqNcGHCUsz73cE6OK-SLHZ13wNpC5EE,3347
torch/include/ATen/cudnn/Descriptors.h,sha256=vP6oTPg_cBI0BJyKyX-z4dphbF_tOMXQAV2T_aGR4iI,10280
torch/include/ATen/cudnn/Exceptions.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/include/ATen/cudnn/Handle.h,sha256=cBn1eOb8Oj3uGfc5qnLPeiqI4XOm1xOtIwOD_WXzHYc,198
torch/include/ATen/cudnn/Handles.h,sha256=5VYWmo7Rbp7rZ7tqo41LW8uPffcQMr3BnOeraCNXyFg,46
torch/include/ATen/cudnn/Types.h,sha256=zesCZQe365rnbL1DK4iTSLzTT24JYWNuOlKbhwRJ2tE,239
torch/include/ATen/cudnn/Utils.h,sha256=-BWRdw6zeqYWpbiqWG7mhgPB9J3xoKK6MKf_LWeUwpU,806
torch/include/ATen/cudnn/cudnn-wrapper.h,sha256=CfGRbP8WmyZVkTXdrVehTLEtqsh0Q5QdjPwDAq3bDME,509
torch/include/ATen/detail/CPUGuardImpl.h,sha256=RYsCJvTHfr0TM2AmM7AmaVVHV5YLNXGhgfv2jmrWhB4,1091
torch/include/ATen/detail/CUDAHooksInterface.h,sha256=36MM3cmsNZAdPA4UJT9JWQSCrpgbQ2C2sfKPoMWMH-w,4937
torch/include/ATen/detail/ComplexHooksInterface.h,sha256=aFLbBM3f2wG0SdMmiuLJdwvOSzoAjz90sdnDgYmJG8s,701
torch/include/ATen/detail/FunctionTraits.h,sha256=9xxO--SRBTGrZRqDHg2SenkyAh8hayABYwGkrElwy2s,2018
torch/include/ATen/detail/HIPHooksInterface.h,sha256=bGAwzZoIH38sRNSvbSVWF2CPEZHhfS9csaZbvgI6_xI,2079
torch/include/ATen/detail/ScalarTypeConversions.h,sha256=GSHC41M63ihdAxRyGxmo8rTYQnlNDgKl0OG06HnDG9M,597
torch/include/ATen/div_rtn.h,sha256=WG4m_M10xz6nMpCu4iuhT-jTiLeM7ZEhSocA2WJ1eZU,216
torch/include/ATen/dlpack.h,sha256=VbnPqrIvBmaEfaGOlg1BniW3olCX2_oy8CttLWkW-Mo,3761
torch/include/TH/TH.h,sha256=SIrOZF65z4Avnv-nn5uc_YLKZhHpyVErVVNNBZnsVO0,465
torch/include/TH/THAllocator.h,sha256=EgR_iH75jyqkgvN8uYHc3-bL7nlP10gUwtQti_4yFQU,3270
torch/include/TH/THBlas.h,sha256=efa8pcP35lIJmeeuE6cGKZ74cDQQlfAFACQJWYCZKgE,208
torch/include/TH/THDiskFile.h,sha256=JCIG5tfc67Ng4hmn_x07MxK38XwYrWBH5GDcrCWsDhY,683
torch/include/TH/THFile.h,sha256=tS6UTLC8J50yk4giOgZRsVY6Ahaqq3DryVZpmhBiozA,4706
torch/include/TH/THFilePrivate.h,sha256=P0yJ6I6WGuhAu6-jiLKNHfoxUCKMG0JOLJJcqTXyRI0,1788
torch/include/TH/THGeneral.h,sha256=260ylUNV1n6Vx7t1Bn3TCKmLsl5QYISzckAd_ijsz0M,6675
torch/include/TH/THGenerateAllTypes.h,sha256=gd9tNUHCH3VTpx9ZmOFJ0Elrxh6F0b_ZHF34l4jbzr0,428
torch/include/TH/THGenerateBoolType.h,sha256=X5s5lwn6N4NXwTawszPzg-eiQv0gMlVBDGnJYjVK-d0,576
torch/include/TH/THGenerateByteType.h,sha256=hQfc9LNnDxdxAe5fiQfATNeVwhzm1leYcvtiNgutFAw,657
torch/include/TH/THGenerateCharType.h,sha256=6WhJMWIW5rK1tY8kTjG9f3tUChxGf618iB4wsQbGCjI,656
torch/include/TH/THGenerateDoubleType.h,sha256=FQI4Hq9_iUEg14-s5jtRxRaLGfHyNBFP18-vTcmlQb4,624
torch/include/TH/THGenerateFloatType.h,sha256=kqVmUmMg37Z5LeH7UVh90H_-LYN6rEqIA3cQ50FiNx8,619
torch/include/TH/THGenerateFloatTypes.h,sha256=Obda_5T21vSLeK_UFo0OkzIoOn3vorsJyNqsgxl7qsE,437
torch/include/TH/THGenerateHalfType.h,sha256=RdwkMJzhUSbkVnv-SH-Q4ivuQa8tgF6m1HaVwJh8V0s,668
torch/include/TH/THGenerateIntType.h,sha256=2h6q47JtyClfmZyTr9z2f8sZ2zqH0kAroikcUyh8aB4,652
torch/include/TH/THGenerateIntTypes.h,sha256=xrnEg-sBj8g5u-d1IILH8C30rSFlU3rusADitPPQPfw,534
torch/include/TH/THGenerateLongType.h,sha256=ZePqVd6TFcTos4ggd_G-uopCEWDTxQfjXnSN7KPrnV4,657
torch/include/TH/THGenerateShortType.h,sha256=szeUPQwEcD0xq_2ZQFrtlGWaoBJkzdiQnpAeMBNeYvc,661
torch/include/TH/THGenerator.hpp,sha256=7ntBFCUxs22FBpIurEwZWFOIfm6O2J60K9wWDPIAbvg,752
torch/include/TH/THHalf.h,sha256=BuArPPmuOsUAH0jtQEPE5UoGkPzcS6BltOND1WLfhWc,105
torch/include/TH/THLapack.h,sha256=XtqdeKXVg6CB21tDhGQIJPDS5DH8KOI-SqrnYAGs5Ks,1379
torch/include/TH/THLogAdd.h,sha256=iXey7s4eWrAQlN9MhqrV_sdrqSi-lGX1zVQr54bmUco,340
torch/include/TH/THMath.h,sha256=Y64fADy266CS72fJn5M4S5A_5TWX55y6akkwiNLfJmg,8105
torch/include/TH/THMemoryFile.h,sha256=bjrEcae9ZSEh82cnMVD5wSJRicKpFGmFMZajrxzzdQE,390
torch/include/TH/THRandom.h,sha256=YQ7scXbH5bjyJsukAgZMpo3SQxUZe76RhI2rFaDk_JI,3473
torch/include/TH/THSize.h,sha256=8_Gj_hWCZ5AKfa2Ifoo6jHLTKJHC62AG_-_T12ohPRU,446
torch/include/TH/THStorage.h,sha256=K1EL9IzoSSeaccg6GTcgt1QGk96HgKRwn6Usp-PAAK4,129
torch/include/TH/THStorageFunctions.h,sha256=AWNtdoFCkVgSC1SFX0LSXAuUscSc3pQ3aKo05qvndO4,727
torch/include/TH/THStorageFunctions.hpp,sha256=Y-Ou2nTNsKePKgM0Gm0WO8mqIF5kZ4e69JhwYQ4JBDQ,1363
torch/include/TH/THTensor.h,sha256=xFginpGmdSYJ0x-77pQ3NmUZW46nP8VaQzDhiaYriW8,1231
torch/include/TH/THTensor.hpp,sha256=z9RvYMwOWIGOzg7B1yJOWzVvctgKrmidbd2LNjxzyGc,5104
torch/include/TH/THTensorApply.h,sha256=zCN7a-l2Na3ywgNZGsxyGV2LkxFpLaIJ_7ixbnJv9F0,29001
torch/include/TH/THTensorDimApply.h,sha256=Y64jn0h7K0Gtv94zhAcymP9UTkMOsm3kv9hzj5NYftI,15202
torch/include/TH/THVector.h,sha256=j9DMmBRRt0KRoeVoNdVy2KNpAf4ypVh98HpUYX35NiI,515
torch/include/TH/generic/THBlas.h,sha256=ssTkchtORwWXDrykQMfqkECVp0AvJXB-pjFQoPMVtik,1119
torch/include/TH/generic/THLapack.h,sha256=fzdk8bA0-_lH-dYRe8K3Eu9XGUhHfqMo9HgRP9kOaZQ,2089
torch/include/TH/generic/THStorage.h,sha256=seDYKz5EPuQo5vrMRGeNyOIAQn7vvfGdx2m2TmoufpU,2796
torch/include/TH/generic/THStorageCopy.h,sha256=EjXVBjzyfS7DlK0lANKmIaIwEwGTLbe69F_qNB1h0j4,1036
torch/include/TH/generic/THTensor.h,sha256=mu8KArVJm8YXnrOHo0Esyc-_490DsiVsd2hSal19KFk,8175
torch/include/TH/generic/THTensor.hpp,sha256=pqE75_pbzcKGA_SNMr2vTQQP5-khI7WeLKDgPOzpxZU,1073
torch/include/TH/generic/THTensorConv.h,sha256=6M4oLv2DFjJugz97gcBKt8-hPrlhXRCDD3cpbHW7MJY,5488
torch/include/TH/generic/THTensorFastGetSet.hpp,sha256=oYFGQ-mtIDDpdZ2w5Khg0rrSJwq3oneNGKIyt57Nyhk,2382
torch/include/TH/generic/THTensorFill.h,sha256=DVC0D5Q8ExTTrRB4HZCpbhAMDjtLN__f-6eKuIwrD8c,201
torch/include/TH/generic/THTensorLapack.h,sha256=PHjscQXxpIzunRDOApCfe4CZpXRhoyrAlDCLde43AQg,1391
torch/include/TH/generic/THTensorMath.h,sha256=XM4K-Lr1V3IhhskLKywiDf_uibWvs72JOKI2PAV2e2c,11504
torch/include/TH/generic/THTensorRandom.h,sha256=AMiHQKwqJf-X04HJpLSn6dMYw55mlCAXkk-2DzoH6fA,2007
torch/include/TH/generic/THVector.h,sha256=XzJ7HbNMgnQk1ibEYxpaElZUSMaWj4ypU_MwgGNflgs,4364
torch/include/THCUNN/generic/THCUNN.h,sha256=5zC1LIRuVjwRnZ4K6MJLa4tOFLuHCt0Pe6qKyILhGtE,51353
torch/include/THNN/generic/THNN.h,sha256=sYW1UK5P2dro4qWsj0JTnTFYhUHxYKEoajrdvaDJSLc,34440
torch/include/c10/core/Allocator.h,sha256=79gMS36IAOoHEmnNKVYfawZwL56BIfJTk1IMmIENI04,7750
torch/include/c10/core/Backend.h,sha256=b7Vb5a3w_kSepa5IB0CUiVvrNKhpd0vpLhiRVVIr63s,8114
torch/include/c10/core/CPUAllocator.h,sha256=hbksp9IZdOVsFk2iVd2CufEM42fqDKYKER4YOlwCoTw,1262
torch/include/c10/core/CopyBytes.h,sha256=h1kGcW6YxyK27zBw3FV9NvuTEzE4HxBYe1d0Ux7CjUU,1273
torch/include/c10/core/DefaultDtype.h,sha256=3qElblXzXZppK6Ebj2cXgneg38T5z1FlZrtO9YyAio0,260
torch/include/c10/core/DefaultTensorOptions.h,sha256=73gC9o7sCWQt0_1Pr4QrhxwBi92j8eRiHfvXnfzE4Xg,1295
torch/include/c10/core/Device.h,sha256=scopzJ93raheVt_XktD_Oj3GXQPAfGAdk9atHPs5i2Y,4348
torch/include/c10/core/DeviceGuard.h,sha256=auYFaD-3myI4dIa56pZke9UnOjHnOovx5_Lc7Wr4Y24,7636
torch/include/c10/core/DeviceType.h,sha256=xYrH-NcqAvYdnqRiCFA2ojh8_rQkTrXVIV2DY1dh-Vw,2424
torch/include/c10/core/Layout.h,sha256=nOfjVHEHsyQPYwG-DWmcrNjTpRsa1OYsyvVEfcOYJx8,972
torch/include/c10/core/QScheme.h,sha256=DOJezt2GbbZzcbeiktfW3eSwkx4FJ1ymtybPNDZvmKg,1450
torch/include/c10/core/Scalar.h,sha256=z1nAFHEIQ3lURxBG81AVw97BsBTDtw9Rnnnjq6gr53c,3800
torch/include/c10/core/ScalarType.h,sha256=ieauT2O6NwTjgGrC248HKTlz64e6_7AQCLgOLBWHcqM,11045
torch/include/c10/core/Storage.h,sha256=-FOnWaKL-9L9X5dwtq2FSbzJEcdC2x0bpn4eXBPFnlg,4797
torch/include/c10/core/StorageImpl.h,sha256=R3QBx38yHJ0G7f-qHqEjck0ogfoxdH5MMSY0K8mPXns,6224
torch/include/c10/core/Stream.h,sha256=HR5-ojK2eeuY1jHeOdt27Z_0qzTs_LI3M3ALERo4KVY,6174
torch/include/c10/core/StreamGuard.h,sha256=Tyn0c1bI_h-ruBoNrJwGoupggrTcn3CZ1r5L6yxNfc0,5550
torch/include/c10/core/TensorImpl.h,sha256=NQlHyC4IWweVT6y8P_NMMoEvqkro-3UABMK08wGbT08,60513
torch/include/c10/core/TensorOptions.h,sha256=EYZYRD2jQazPzrdcDRjIM2T8S6l4UHCQqAhKE4pc-GU,22305
torch/include/c10/core/TensorTypeId.h,sha256=eZ2WlFZYjRy8PDQ03v4eGL1YqRkvcdEGvB9y0xt7dW8,1214
torch/include/c10/core/TensorTypeIdRegistration.h,sha256=eIN84IrJxSsFuo5aqTIHJ3f4rQkDvXLu4DKcg90XCvk,3397
torch/include/c10/core/UndefinedTensorImpl.h,sha256=6204ttWQzP4JtRkcaNDQQADHLWHqnet7O4k1j9LqYmQ,1010
torch/include/c10/core/WrapDimMinimal.h,sha256=zDmTTzC3P9KKu8FsjWwYvEqt3SLDee5blkuh5SDdUh8,682
torch/include/c10/core/impl/DeviceGuardImplInterface.h,sha256=qvbqVuTTXHJvsEmsYVzwDRRQtGJichW-uh7Je7s89kY,5875
torch/include/c10/core/impl/FakeGuardImpl.h,sha256=SLRyWiA5jUiRbI9ZiqeBxgzLAss6z2Vp9Hd0witU4CA,2872
torch/include/c10/core/impl/InlineDeviceGuard.h,sha256=_-lkkWGuFyeHQ69ThjIq_tgA51nPy4Yuo3hpsX2R3Ns,15636
torch/include/c10/core/impl/InlineStreamGuard.h,sha256=zyYA4J7CKF_azY-53YJV5DADvWAqsyp4JPzrYImkIk4,7763
torch/include/c10/core/impl/VirtualGuardImpl.h,sha256=98csDUWWbJOU4oAWtNRMvc0h2iN3Ld-CmRfc4i_YTuA,1381
torch/include/c10/core/thread_pool.h,sha256=NFax8ldTSbIQ2zWytX6VXooTW1A01P1jmdSp6HfgyoU,3147
torch/include/c10/cuda/CUDACachingAllocator.h,sha256=233iY2qsB-euP8pMSKEJmZe_9nkBrx5V9PMSnKUTjnA,2397
torch/include/c10/cuda/CUDAException.h,sha256=d9z4p3hFe43BidiUi0GmIgi6a5GdflapNHIbm0bCfp8,849
torch/include/c10/cuda/CUDAFunctions.h,sha256=ptsnCL09kD2lzYDvAC2k2IrI2fuwoFqEnRQQmI01fAA,1626
torch/include/c10/cuda/CUDAGuard.h,sha256=tiXJ6Yv-RO2wE8CmegJfmC-4iDDN7VN1H-qYSe9M07o,10332
torch/include/c10/cuda/CUDAMacros.h,sha256=TeeEcIs7gydCv-udtUgiSVAHnz4JEfhWkEpJPheFcP8,1021
torch/include/c10/cuda/CUDAMathCompat.h,sha256=oy8p_cSQVGlU9cVotKi14X9pFWN2MvTsayLDm5bPq9g,2094
torch/include/c10/cuda/CUDAStream.h,sha256=Z65BlxZbxlat1gpMCjNa856Ovq_sfZmSqvc_6ik2g4g,8608
torch/include/c10/cuda/impl/CUDAGuardImpl.h,sha256=kfdWHBBOBx5444L8p0FZX8v2yjKxyVeQw3TiYEt83qg,1887
torch/include/c10/cuda/impl/CUDATest.h,sha256=A70x-5badPtHX8acS3M1Umie9PUui3sQFw5iG6ntHnM,179
torch/include/c10/macros/Export.h,sha256=VDXUG1LAjnHh26bw2NR1dcA_YnD1znclAgZc-A_g4dQ,3685
torch/include/c10/macros/Macros.h,sha256=JSkCOsFiZQoc6bJrPz4He2upRotBy-WzxX464WnytEs,7638
torch/include/c10/macros/cmake_macros.h,sha256=PLNuZsWot9Uzykm1C2ZrV5bn_PMB8mpK_Ac7N12ik6c,367
torch/include/c10/util/AlignOf.h,sha256=lKoYvxXh57Ve6nuO_BQ5Ke_W9cYSUplfblJ2DVDC9f0,5008
torch/include/c10/util/Array.h,sha256=aTP9oiSNEhcBJQtcE1yxjrTaPNtQjpO_tbocFtBC2ew,11252
torch/include/c10/util/ArrayRef.h,sha256=DnTZzRxqak9IO4Ulzk66l_kj7a-sjFcYzYWs0AiGv1U,8356
torch/include/c10/util/Backtrace.h,sha256=oFMOPfQuTZR2Q3C7nSbA1kT8_ZIbqYBYgeGzee_8Qsg,381
torch/include/c10/util/C++17.h,sha256=kdumfAFV6KFfduCACbVPtVBVPENOV6oB6JDoJgRZSU4,9588
torch/include/c10/util/Deprecated.h,sha256=GDt4jnX92IG5V9iliKAiavo13_36rhL_bHOp5Tv4V-M,2878
torch/include/c10/util/Exception.h,sha256=NJj9qf_6f1jnQahNQrGdrF1l7ffe3Ax1WgCSWGXs6Pk,5943
torch/include/c10/util/Flags.h,sha256=eOCmLrus_8Tzxqch20fNVHuL_1-4R-er7fpT3yVKI70,10373
torch/include/c10/util/Half-inl.h,sha256=RhIQ45MZ7dMCBzS2TkckrTjxLBJ1k1IjkN3sGeDuhBo,8342
torch/include/c10/util/Half.h,sha256=ZHNuRJCYTKkXwPQgfOP3jFd-Hucsxqm6A1A3HrTgeDg,21199
torch/include/c10/util/IdWrapper.h,sha256=lpN8TIzppwYjnjBd05ElrnPouokzp-Em5kgCbFZ-ueI,2399
torch/include/c10/util/LeftRight.h,sha256=-0EslAr6MCZ-JHin0YBEPNZ1YUWzN6wPO5XEXBZUnpg,5685
torch/include/c10/util/Logging.h,sha256=_6BxY584BVbag6dm9j-byWpM4esQmreLsXTMJIxVEuM,10778
torch/include/c10/util/Metaprogramming.h,sha256=wrDAloqCEEpzETZ7MLPYu6P4srmM6M4A8oiqcu867TI,6831
torch/include/c10/util/Optional.h,sha256=8D6uBqRqjc-QUn-l2vCjtgis6yotkCx1ilpKmdJvpH8,30840
torch/include/c10/util/Registry.h,sha256=S78tAVRQTZMTZ_ZGq4-lR8mp3XwnRz39vrggxT0kJDw,11653
torch/include/c10/util/SmallVector.h,sha256=fpCfru0OpNUR1V_XIrYYLiNcCx4NWSoaZ_-qz7BQj18,32959
torch/include/c10/util/StringUtil.h,sha256=ID7VIyAlDX_E3oP5ryycFpyf2MAFVlUXCggItSq5k9s,1953
torch/include/c10/util/Type.h,sha256=nRLHXy_2NjRORg9m71a2Nkr2GGcx8U5WT7mgBQ03Ky0,635
torch/include/c10/util/TypeList.h,sha256=F9jhZDkcdozzjWsN4lKwz2Y3QRT7oVWgdkdIXrPtQVM,13264
torch/include/c10/util/TypeTraits.h,sha256=BlCfNbBO7cpA5cPmSexC_7_REDFZL1EPL1xdadHMlbc,4972
torch/include/c10/util/UniqueVoidPtr.h,sha256=1_dvVBy_slbS9tDbpf9yLs9uqQm8_feC3Hj1zf5rLQE,4220
torch/include/c10/util/either.h,sha256=nadBhXlU_2blev-ZbxeSW61TEUZHN1-OjAgBDbIziCE,6303
torch/include/c10/util/flat_hash_map.h,sha256=ScDZN6NC19PSJZL2wHft9rr1CsHDs6o9n2m6l3e0TQ0,63199
torch/include/c10/util/intrusive_ptr.h,sha256=DWWRK19-X1vyhuWi5wqLb08fPHRmmoNJoZZqFuxhlXI,28022
torch/include/c10/util/logging_is_google_glog.h,sha256=1NKZaciQTEnsICO6RvwNInKEOoXMd7-sgHO-jHlnMN8,1737
torch/include/c10/util/logging_is_not_google_glog.h,sha256=-hBrUi5p4e2IPVnzymdAdOgWyFPwMnyqyjyK7R9QFmU,7820
torch/include/c10/util/numa.h,sha256=uUH2y8X97uHOV2i6xXPHWpe7Ud8uUBKEeN2KucTrUYU,736
torch/include/c10/util/python_stub.h,sha256=VCeDRiGbtYhM3F7bhp90T2hFV0hOlI_g8iecAD84L9M,60
torch/include/c10/util/qint8.h,sha256=XmcUBa6qCQx9GeSj5iZKfvnmvsWKJyz-AMJeyc7vrHM,357
torch/include/c10/util/string_utils.h,sha256=o4mTU2hCR0kPPT4awSbc5vrfPoCNb4oj5Ywq7rn0bqM,1779
torch/include/c10/util/tempfile.h,sha256=wxoS14MKfiSh8p9rnfhLGTF7GOmCDzpJoNTWxOiwQ3g,3334
torch/include/c10/util/thread_name.h,sha256=iwB4iCg0GesqbzjzJ3xBrDRbmCfnfLPna10DMrUakfU,159
torch/include/c10/util/typeid.h,sha256=fqqWPMOWBgi929GstQmYaztPmyCO0ickeM5shZB3l40,22387
torch/include/caffe2/core/allocator.h,sha256=KYScydVDlYTFSnAH7nh6OY8yOQ2kpJSEpVAVZtftubI,140
torch/include/caffe2/core/asan.h,sha256=kY87BKh4pnMJn7SivWZLK8SXCsY1993wukudfZbse6M,665
torch/include/caffe2/core/blob.h,sha256=jVpO_gN2FQWatgyxPQ-KCuuOsSMIt4mee1jYYfq6ewI,4301
torch/include/caffe2/core/blob_serialization.h,sha256=WKtLFkLo5yphHlOoTsvzhOJ3i1dx8Tn_HBFoCGNh-Cs,9206
torch/include/caffe2/core/blob_serializer_base.h,sha256=TULhQqpvvoUxkEaHZg7QwSEyU-zEFGiYd9cgIaaOp0E,3130
torch/include/caffe2/core/blob_stats.h,sha256=3t7fSP6DE4bwecJ6b0JES8kivu6JYE7zUKCugBQ9l2Q,1174
torch/include/caffe2/core/c10_operator.h,sha256=a0-KVQbaqKHUK0R_wl5ZLScw2jXe6iyCjWaGZHvtXNI,10184
torch/include/caffe2/core/common.h,sha256=sVGkZOHpOo0Irl4--KQl3Jm6CXkQDjjVVw_Y3gIezxI,5387
torch/include/caffe2/core/common_cudnn.h,sha256=CLnrbdiBvpaHwPt7a9F4eUTFGx4HBOQtAixxoSWZAJw,10212
torch/include/caffe2/core/common_gpu.h,sha256=vckCw6DjW2Zu8NYNd_lQZBWNEccwbCqVWsnMwrYA2T4,23225
torch/include/caffe2/core/common_omp.h,sha256=EOIfySRABqjHlRYcz6_3Dyv6vz6Q5n_6YLXJbZBw5_0,164
torch/include/caffe2/core/context.h,sha256=C6GD_07eMuILma-d-vRgt0iVYuDx7GHU3xTjYQhKXuY,4902
torch/include/caffe2/core/context_base.h,sha256=EpAKRLutpYUaTIdQdoqdR7BOVrjo5isGFydrB2x0F4I,174
torch/include/caffe2/core/context_gpu.h,sha256=ZwIavIiGJ0NvlIyyD-ICNbM_sYOBc1vc_imYpPRRgQU,11687
torch/include/caffe2/core/cudnn_wrappers.h,sha256=rlmWegJW03LFjYnHrcbBsKDvxxoMj4GQC_ukFrA5QmY,7155
torch/include/caffe2/core/db.h,sha256=N6v9Om2keZiHJ7qUHJQtPnU9Vh0hkVuzqp9RpaT42tY,9137
torch/include/caffe2/core/event.h,sha256=ZrPpIF8RZoz63iyS4piFA4AbeZLlNev1R3oDj-_zP5A,12942
torch/include/caffe2/core/event_cpu.h,sha256=_aG5DMLNXPm4BVJPTNoq1s24wnT5ArduMkfSaglZwpA,1239
torch/include/caffe2/core/flags.h,sha256=I9qzaXm1grNChb-Pc2DG2TmFBJKqRsdSg3boL8CJBkw,78
torch/include/caffe2/core/graph.h,sha256=-zfq3fe8PwzYsM1f0XMbCDWhs0_RBGPevlKz_y3_HZQ,5442
torch/include/caffe2/core/init.h,sha256=EIm3ufyITAu852glb-n_zOB3HGyetK1SK0HynYfYdXw,6161
torch/include/caffe2/core/logging.h,sha256=iukcd5O9sP-dV7cB7eassWDGMUXVHwvIEQ0jqeTx_NM,78
torch/include/caffe2/core/macros.h,sha256=CTVxqBzfU2SlVQvuAX8-wkpLaNhgnC07CSnXqt-G1VI,2568
torch/include/caffe2/core/memonger.h,sha256=4VoGsYUziNKU7AFfNyyVbYStVILOWgFwB-sOdJ1Jk84,775
torch/include/caffe2/core/module.h,sha256=2spKJ5n5E21UyYHx-Nfmgf5J82rdefTS7ows3bkElFU,2612
torch/include/caffe2/core/net.h,sha256=eHpRrk55Gtpj6_9wsZTu8z_Bwtg4Jc4liz4j74WkF_c,4575
torch/include/caffe2/core/net_async_base.h,sha256=6MfYY_EiPRN9RcRhVhpyjw8MNbeyIuSOJTMjj8dwM2Y,7402
torch/include/caffe2/core/net_async_scheduling.h,sha256=3NLISR3rq4nR9XQ46AuV05I2OT2PakMG24qdv2r7fBQ,968
torch/include/caffe2/core/net_async_task.h,sha256=Wg5aqBJK1PYH2KnFm5vq9x2T9ZD-BptllVfuCAaG0KE,872
torch/include/caffe2/core/net_async_task_future.h,sha256=gHhv08LmAUoNb4HiJKoH6ZojJGuBConyT4FwSANfZSg,2001
torch/include/caffe2/core/net_async_task_graph.h,sha256=Ldf8YKBAtNrhLzHoXWNKsTbcxcoYsL8IEOeRZdtfh8Y,2331
torch/include/caffe2/core/net_async_tracing.h,sha256=qr7Mdyoq6YsBWffGBvSVa6rxZnLVqPuY4rHpbxPLK9E,5088
torch/include/caffe2/core/net_dag_utils.h,sha256=s-b4U9XtHsxwexMwLebPoeSMUTS2OqqCJwuPyeMRPj0,2215
torch/include/caffe2/core/net_parallel.h,sha256=JfGiLlIrHv5k_6jroCoLll4XeThGwgYLO8AZHvyDPoU,2230
torch/include/caffe2/core/net_simple.h,sha256=2mR1KE47koTlc8k7iEWhibI0Gz1yE9NFDenwxn3wXJ0,1493
torch/include/caffe2/core/net_simple_refcount.h,sha256=G88SlFLbdmmI4Q5aiv3MI9RJx80y_L1puWHUN_MzyGg,2156
torch/include/caffe2/core/numa.h,sha256=1xo1PTyuiaq2KzNurx1m-yMDofTW7AOykD9DuaJbhOA,75
torch/include/caffe2/core/observer.h,sha256=ih7IDMNU_1aN1ln2I-Myx8_7cG3Y7qYd5qD_6TvLTts,3973
torch/include/caffe2/core/operator.h,sha256=yhyV2MwN-Le-9P8u3CJLBPN6s6JQG4vuMD4WXZiBjB0,52382
torch/include/caffe2/core/operator_c10wrapper.h,sha256=T6CVpaXbMeZ9vIBKjZXNYpMGtg5OB4zD0MHiT67JOO8,9685
torch/include/caffe2/core/operator_gradient.h,sha256=F0rKqUQydO0q2PNtcssHyBxa3a6ZWP4INtt_ZQ-uMxM,10601
torch/include/caffe2/core/operator_schema.h,sha256=dYOGXIC-IOlFW8E4C8LCs8lkXwRYS2Ni5IB0RZyCOPg,19981
torch/include/caffe2/core/plan_executor.h,sha256=pEWTMlG-AZxGLoOYsn99p_MZMQyR7B4Kj2tEVYYiYVg,232
torch/include/caffe2/core/prof_dag_counters.h,sha256=LUDbBbZReoRxJbs-fAottmSptK4WxD3RprlPq8vSi80,2869
torch/include/caffe2/core/qtensor.h,sha256=rglbsr8bOpAnd3bqVePeyeDhR4ebi1kh9nv5zsT2d3I,6840
torch/include/caffe2/core/qtensor_serialization.h,sha256=XArMa9Q154CvQQj_EOCDIvDqmHdJ6qiiNwI_6jbLVVU,2713
torch/include/caffe2/core/scope_guard.h,sha256=DdpoCG3H4oKcnb_N10Y_NNYD3DOfHIvW7njAWzjxlFE,4834
torch/include/caffe2/core/static_tracepoint.h,sha256=2HtgFaQ_TOdyHIWvZTS8a4fyI0r3RUU-pRqWslnIpVs,409
torch/include/caffe2/core/static_tracepoint_elfx86.h,sha256=5Fdkei-M0V3Ktxl7T25AFvTWW92RqBGTIsEEf8xRdqM,5655
torch/include/caffe2/core/stats.h,sha256=ugN2-1HwXIvmXFloTWIwJQ2-8yVvo5eMVC7dtsfMa8U,10732
torch/include/caffe2/core/storage.h,sha256=-_qN81PERch_nKTvr6989rW6egYqUM67kgHKVxuv2Kg,766
torch/include/caffe2/core/tensor.h,sha256=4w1t63a3TowyaEIaCsHaLoXZjvkPXVyI63-uJEP43qE,22060
torch/include/caffe2/core/tensor_impl.h,sha256=KCPRYP_rJKsUFRka2bC9cWyNP_CnxFwNkNzw2Pvy5mY,362
torch/include/caffe2/core/tensor_int8.h,sha256=1t2StDBaNo0OtePEEigN-4TJ8niQbDtSaJWKPiUF1bQ,471
torch/include/caffe2/core/test_utils.h,sha256=VAmBgM2MtApDorPhaQ_4qRf5JVgo3L4rzVHb567Nbsw,5819
torch/include/caffe2/core/timer.h,sha256=IMrjxi9ztMA_Z3hkHt6xp_-ylEB7_GgmnanXmZQwdJY,1266
torch/include/caffe2/core/transform.h,sha256=GaCmbPmM6Cr_IknzaSARtjMdjKb21HqtxhhWzclNhFI,5919
torch/include/caffe2/core/types.h,sha256=-BBPbMeSRJkTNE8pkipGBu-HAwQ3XCn7fmp8WPZepoU,2016
torch/include/caffe2/core/workspace.h,sha256=jdOqxzBCnTh8ikRxgLytmzUevb4wUNAYAflJJTx_mAo,11605
torch/include/caffe2/cuda_rtc/common_rtc.h,sha256=JpoKLGImR8zwa5LASz8fY4LfLj-9hNU5vbfANWh6Psk,4470
torch/include/caffe2/db/create_db_op.h,sha256=Gl7exBhx7EJzWDEA7DRJjgcgHVMKlFiPuhPhVjl6X9I,1232
torch/include/caffe2/distributed/file_store_handler.h,sha256=K5r3znzyjkRzet2fChYfgAO20V6lpGwnecCldHHUqjs,1013
torch/include/caffe2/distributed/file_store_handler_op.h,sha256=olLle0xJMOCAOqZ2l7Nw96VCLyxFdpZfeUGBJg7am_Q,1018
torch/include/caffe2/distributed/redis_store_handler.h,sha256=6Haz9c_4emSlLFMsY9LfXOg4iauPI2AVKwiOkc6vKfY,1041
torch/include/caffe2/distributed/redis_store_handler_op.h,sha256=nrYgLBnvzow85MydaGAw_TbEooacScVp-9T3T-rtgYQ,1187
torch/include/caffe2/distributed/store_handler.h,sha256=UiOt7RbE-IF8caRYxUSwK6BEOds0s41gGVLD1Pr8IVA,2402
torch/include/caffe2/distributed/store_ops.h,sha256=kdffxPoSiQyUlBUfM9Q_HgbOlesIRL_fZV-o9ptAzKI,1119
torch/include/caffe2/ideep/ideep_utils.h,sha256=iW6UySsNzhcKsMxV-Qjx5Oh7a3YCEg1HXXMXLKb9EDA,2548
torch/include/caffe2/image/image_input_op.h,sha256=50cKaRqTtxQE1Ygul10K0aMhVL7k6FCg5xp-GGe_u2k,48221
torch/include/caffe2/image/transform_gpu.h,sha256=6S5OijBNGfGxjLPP43xCkUefhu-D9UGU38XFQhUuuYU,1748
torch/include/caffe2/mpi/mpi_common.h,sha256=u0UIBHk2MdnGlpSJp-mD9ovGBjvnCOIqzuI_QXRfhRk,4899
torch/include/caffe2/mpi/mpi_ops.h,sha256=jaRLejsnukQQvqmDRUkAi_v5UoScMofNp577bD-bjKA,8019
torch/include/caffe2/observers/operator_attaching_net_observer.h,sha256=rBDwc5C1P8C2ZmK27GIRrRh60atjTGCntAan8vbGGjc,941
torch/include/caffe2/observers/profile_observer.h,sha256=sJlk2xbpHbdkac-PC7GuNJtNeYJLE61mPXw6hz5_hR4,3375
torch/include/caffe2/observers/runcnt_observer.h,sha256=y5uThZ2JdNoQzFcB9X2w-N96RMOUvPe1L6Nkojjtg1M,1421
torch/include/caffe2/observers/time_observer.h,sha256=VnviiMf-idEDyw8w6zxqYwCLfUYFj1gEUx0Hyr7eTEo,1938
torch/include/caffe2/onnx/backend.h,sha256=CPz1bFFSrpSkNJi4gtYsQCYgdeDF5r8aqynkVYbeh3A,9082
torch/include/caffe2/onnx/backend_rep.h,sha256=SsH04hieaOEF7uDR72MH4N2xHe-G4D-0voGq2-99tiA,1147
torch/include/caffe2/onnx/device.h,sha256=Hq9dnd4xYvUbveHXj5-TTt5HmOK4XOrj2zvj0GHK7lg,467
torch/include/caffe2/onnx/helper.h,sha256=m4raiJLEOo3YtZGLH3q5DtDXumpmDFVesqjx7P6lacc,2938
torch/include/caffe2/onnx/onnx_exporter.h,sha256=Os_fTUN-cAFRM7Rm17RQo-OjU9MziEXuO-nPhl2jZt0,4819
torch/include/caffe2/onnx/onnxifi_graph_info.h,sha256=Afg4tk7BwYm9uY_5ZJ8AvbcNVuXHhUtmtBAnh38AumU,3306
torch/include/caffe2/onnx/onnxifi_init.h,sha256=RlDoapVvVR7BmXhyY-B1mOJhuOC4zSVQrclzKTYs1Ik,176
torch/include/caffe2/operators/abs_op.h,sha256=jmAWGGtsQdvGOcZxVXHzGdTUanABAk-9h5RFWO1-aXg,739
torch/include/caffe2/operators/accumulate_op.h,sha256=Za-3heJTiFKQaQ5IFwVn-Mv_ue-eO2amveexFkIYi5Q,1114
torch/include/caffe2/operators/accuracy_op.h,sha256=6rzVW6IU5uwP-toCWycjtmCbSpvw5LQmWSF1cY_mvDo,680
torch/include/caffe2/operators/acos_op.h,sha256=IuQqwTLV_I0ebiX2pXqsEMoov14DxCMrHqC8uaVyEcQ,745
torch/include/caffe2/operators/activation_ops_cudnn.h,sha256=PwJjU-WkDNur-Zkb3ispxi4eLCOh8Vh-V0-c2L7QVlw,4261
torch/include/caffe2/operators/affine_channel_op.h,sha256=pfqdx8E2Q8XjGuvT3Gzd07pxCCHH1KFCO81T8pdRSyg,3581
torch/include/caffe2/operators/apmeter_op.h,sha256=yVfeAh-pCTm8Je8VD2Tp140DmIk8kr7DGKcbX3QVgWw,1069
torch/include/caffe2/operators/arg_ops.h,sha256=H_54JDSLplHeg6EqsBw3sUqo_rGtjvEuoO1ZC-bH33Y,2419
torch/include/caffe2/operators/asin_op.h,sha256=5hbWEeA3RVdrJMtFFckqSgUfrQso_XxSh9H63Fma_Hg,745
torch/include/caffe2/operators/assert_op.h,sha256=Td_9SAj-3VuE3zINnTbmwWDePHDGCZvaPIl14XIiquA,1386
torch/include/caffe2/operators/atan_op.h,sha256=mEvq4CelBHRfyLxvUoYEF9sJlc97hbbKRvrImcr5QGI,745
torch/include/caffe2/operators/batch_box_cox_op.h,sha256=ZDb4KnlpH_999Lh5oLvWMcGTTdsYUOSkLUvsPNe2aAc,2281
torch/include/caffe2/operators/batch_bucketize_op.h,sha256=8Hz9N1NdTpfmpwlvCY5vR8NG_gFuEdNs3OzbZgFll5Q,750
torch/include/caffe2/operators/batch_gather_ops.h,sha256=aNfjsNyYTS-4XRWBW5yeuKTVCXVizVOL36fZgutzv68,4561
torch/include/caffe2/operators/batch_matmul_op.h,sha256=ULnOkijXMaxpZyJZ-Eny_xYB9U1Y4FyyvHDuPVvJDWc,9233
torch/include/caffe2/operators/batch_moments_op.h,sha256=Pg3nI43BV3P_1orYeriK2jz2skMpumw_bbEUlfX8wz0,3482
torch/include/caffe2/operators/batch_sparse_to_dense_op.h,sha256=ci4-mzVwjfYmhy6QP3sH8mzo4rF13xQb0dC1_k4pn1g,1339
torch/include/caffe2/operators/bbox_transform_op.h,sha256=sYla3Y2-vEighfkbx_Heh3ykdKRQy7rhNEq6kwoyHRQ,2466
torch/include/caffe2/operators/bisect_percentile_op.h,sha256=6FLSDWyqyleh752xT5rknNgeXbjajlHZpK19Mzu6mV4,5089
torch/include/caffe2/operators/boolean_mask_ops.h,sha256=4BbcPLS1H6uDhXoRb5cJxXuX2o6bnpmHsakssqkafAo,2065
torch/include/caffe2/operators/boolean_unmask_ops.h,sha256=eKVJ0cdHt2ARKIl0ZBXdPgElXCWzQCaeEca91gZfofc,398
torch/include/caffe2/operators/box_with_nms_limit_op.h,sha256=0-89y1DfYUVdw6SDLFKyfLusjt5FsA5INEPZaRCCimQ,2480
torch/include/caffe2/operators/byte_weight_dequant_op.h,sha256=eL1kce1vw32mSHhCemQhxxzvJ9klBwZWdOJin0l9BX4,1775
torch/include/caffe2/operators/cast_op.h,sha256=4gQjtWOpuOeDMD7Hm8I7K0EKnP3dg3c3rTZ2tMEiatU,1449
torch/include/caffe2/operators/cbrt_op.h,sha256=9eH-MdiHMqHSL0iZm0Gl855jXcXHIKWqXzgZNNBZc68,757
torch/include/caffe2/operators/cc_bmm_bg_op.h,sha256=K5fxKDpENHVhHWpI_7OPTz-j_BdmzsNhfdLv2KFNGgM,4037
torch/include/caffe2/operators/ceil_op.h,sha256=BrfoDJfNXGHeH2jjfLpAP3lJYpPEj61EuNoA2JfTyAk,815
torch/include/caffe2/operators/channel_backprop_stats_op.h,sha256=XtjkyUV69z57mFQmbbjCzgy4xNBLeJUaVFMuEfDcFt4,770
torch/include/caffe2/operators/channel_shuffle_op.h,sha256=NjeVfOmT2S1OWXAyC_qVl1rJ1zdfl9aSqawmIAx7NH4,1970
torch/include/caffe2/operators/channel_stats_op.h,sha256=2DwBdWJ4SnBKtV8YZ_ZeAIbURSo5Mfp2lIvyqxt1f8M,1867
torch/include/caffe2/operators/clip_op.h,sha256=EG-cQddLUnxTZaA9tlelTTRH13rRumC-1hNxfg9KpFs,1703
torch/include/caffe2/operators/collect_and_distribute_fpn_rpn_proposals_op.h,sha256=xBYeKSR1ZwEzT0HN3mUHpOHGe-LFyms7Vj1ImZLMM2s,4042
torch/include/caffe2/operators/concat_split_op.h,sha256=m87MEi46xJqkEr_PL6D63wqQU30b1LstFZijq3aUHPw,11163
torch/include/caffe2/operators/conditional_op.h,sha256=agkkSS572g3PmfQsuxn8Q0iYox3ShAQv_Vm_5gRRj14,501
torch/include/caffe2/operators/conv_op.h,sha256=umYvYhl8HfFtGVKNQWv7Y9In2lt3rj2Ynjvu1uR4-KA,3226
torch/include/caffe2/operators/conv_op_cache_cudnn.h,sha256=4qjN8Er2Qi3LNdXydhuHq90dwthhD4TvmtBVJeYZ78I,2001
torch/include/caffe2/operators/conv_op_impl.h,sha256=pVbfCESznn3rtqazzVlEvfHPLBdb5zNaH88dfYiMC64,29625
torch/include/caffe2/operators/conv_op_shared.h,sha256=mQ28GCZlWQrzBOmV0wCvJZINCj9w8tlncZFqEWaen5w,697
torch/include/caffe2/operators/conv_pool_op_base.h,sha256=CYLdQC-nnZ9AWhKkQUpvk6bmML4iPWXJTUSu6HMmXaE,32603
torch/include/caffe2/operators/conv_transpose_op.h,sha256=vn8b02m3RsP723cknRNkvcEwznIQY_X2ImFuRrdicNc,1784
torch/include/caffe2/operators/conv_transpose_op_impl.h,sha256=20u4CtMzeTCtooolJZ50jvrGDPV2big4ABcE_sDNY5s,18548
torch/include/caffe2/operators/conv_transpose_op_mobile.h,sha256=8rXTTWSjXA-v8ui-QPVS-yZM9w0wfxQyuK1m0W48yDs,1498
torch/include/caffe2/operators/conv_transpose_op_mobile_impl.h,sha256=untwgb__D1V3VWe2xd4ASmFwD62f63E-XE8hajBiW5M,20177
torch/include/caffe2/operators/conv_transpose_unpool_op_base.h,sha256=Xe7fQK_I39WjXTkZ4GEg6lXCoOC3C3JglFFapRyNQOA,10557
torch/include/caffe2/operators/copy_op.h,sha256=iA6Pqjanc86BpAY1vlf0JkVTgJisfqLvLrfG2jTh5QI,1185
torch/include/caffe2/operators/cos_op.h,sha256=VBNlncyzk2cCW6LAvbHBnuQlrrIfB04MCx3-wleSS3g,739
torch/include/caffe2/operators/cosh_op.h,sha256=LlCGqABl0ZW-3lueHQifadefLhmTRA48hLUaSXHTvlU,745
torch/include/caffe2/operators/cosine_embedding_criterion_op.h,sha256=Dr13zqX9R4FGXHl_b3xt1eyyqlysTzpH8p2pWwk8uN4,1169
torch/include/caffe2/operators/counter_ops.h,sha256=BNQuoSK9p3QEB_A1Q5n7nZjoxHvOejwH6j_4vUh-pF8,4761
torch/include/caffe2/operators/create_scope_op.h,sha256=lYLGG71ZsIv2zVYXP8MCKIZ4KHZyH4rM5hvq-d_5kTU,5391
torch/include/caffe2/operators/cross_entropy_op.h,sha256=wrHAzcxn0Q1ZStImf63cqt8XmLtLowzg-ZQCpMmGUww,4581
torch/include/caffe2/operators/ctc_beam_search_decoder_op.h,sha256=TfIXBPjH39aVS6aVgRlFoN-5YT2CQ6p5brLuHm19i9E,957
torch/include/caffe2/operators/ctc_greedy_decoder_op.h,sha256=r-nOOaAFC1mVsmMXSTUwGKFBchmkzdVT6yyQ6tIYBek,848
torch/include/caffe2/operators/cube_op.h,sha256=pVJNoWY3wrV0hnqb0S91B8Wob7Ywr5UiHdJ9Bi28k7Q,757
torch/include/caffe2/operators/data_couple.h,sha256=Fqf8t5fqP3FP1-ULSEY0KQQSNOdfN6yKkFpWKqYfN3A,486
torch/include/caffe2/operators/dataset_ops.h,sha256=CR0LEbU5mn6coCR1-ykpODs_4Fo3QQPI3SPLduq60UA,5547
torch/include/caffe2/operators/deform_conv_op.h,sha256=T5NGFwHC_1D9td8X3yoA-w-7NYCWfNbel1lctNRN4No,3655
torch/include/caffe2/operators/deform_conv_op_impl.h,sha256=FT8-PSsHo72UUrk8X4v8nlhA5sbbKO9HTEwvebroBkg,13227
torch/include/caffe2/operators/dense_vector_to_id_list_op.h,sha256=NDvi_E1kQCYV1v1jbePfx9mGWrpd60OG4raWY34Q3SI,1862
torch/include/caffe2/operators/distance_op.h,sha256=QUfLguOh0-Nadg9T4e2_NjMHkfi8BXN1NBBjPOeCvbI,8715
torch/include/caffe2/operators/do_op.h,sha256=r9sZux5Oogtz7arGWW5rRVYltppix9CYHXS_m9a21Qw,7101
torch/include/caffe2/operators/dropout_op.h,sha256=uDOgrTC6g1-JrkqrUZuTsaAky-OBWV9vEWXxXBE10F8,1573
torch/include/caffe2/operators/elementwise_add_op.h,sha256=bG9Ba_HEvmYD1VUXX8vgNClyBhz9Xnv1HJrgUjjYlIg,1868
torch/include/caffe2/operators/elementwise_div_op.h,sha256=nB6_G9P8TUpF5xqsY1Io7M1_S6CEnC0_LE92kLOjnm0,1110
torch/include/caffe2/operators/elementwise_linear_op.h,sha256=_JmsBK0SStKmF3RIg3skCrlbTOekqT6vNto1opDysAA,1212
torch/include/caffe2/operators/elementwise_logical_ops.h,sha256=KAM22HhAeXh1LLDU7-OBnw4zwhlqZPCnXobqQDeYTqo,5257
torch/include/caffe2/operators/elementwise_mul_op.h,sha256=j46al9ty3BgWnXfLdDju_GkPETPwZMh1oudW28zlb2M,3521
torch/include/caffe2/operators/elementwise_op_test.h,sha256=nn9UsQTwKWhlVfiqsLa0g-bnr00NsVR4C2Z4zoOSvTY,9503
torch/include/caffe2/operators/elementwise_ops.h,sha256=eq3ejI4gmYbNDRM4rVQSwJvzGVOtWGBM6QD1ltINvlo,17243
torch/include/caffe2/operators/elementwise_ops_utils.h,sha256=jj3CjwrxPLi1pnCOQP2okq4D4iOErwTo-p7JdGqt4OM,1043
torch/include/caffe2/operators/elementwise_sub_op.h,sha256=i9aeEX2kDUN1U4nJbcM_XT0kc4WC4bbJx2jREPPAMPo,1869
torch/include/caffe2/operators/elu_op.h,sha256=dd3YWH7vapjzawYeHRoURIHPdKyGE5cJbRuM-pY-Mss,915
torch/include/caffe2/operators/enforce_finite_op.h,sha256=VPgChf_9faxagvg4CCca0Xljx_CxYy4qZEeXqX6EIww,1181
torch/include/caffe2/operators/ensure_clipped_op.h,sha256=T7V70kVkn_lPnIMh4DTvpbTAiLhesJAkSY0jfYi-azc,1665
torch/include/caffe2/operators/ensure_cpu_output_op.h,sha256=nTeGiy_xoO5d3xkJGZ6DWMPX6Dpgyd5o79qPF2oji0s,1508
torch/include/caffe2/operators/erf_op.h,sha256=mttp8gWQcoeRMGc1HO-_ha9C2ZinCKvBxLiLdWBg4xo,787
torch/include/caffe2/operators/exp_op.h,sha256=2HYDJWcQshDxnn3IkpXNfZXUcPDAH_PF8KJpvRJmrtI,445
torch/include/caffe2/operators/expand_op.h,sha256=QyrDv1Endz75okPIxXUgInxHbZU3BPVI8RRwjg7HU0g,3660
torch/include/caffe2/operators/expand_squeeze_dims_op.h,sha256=OWJL-MfI8v6EiiAENgiEcphD6nbuG1k3xWot1qcCdlc,3509
torch/include/caffe2/operators/fc_inference.h,sha256=j4sjnXXLCuYNJG0nUfGDdxKS6sobe15AYrDTtR3AlNo,485
torch/include/caffe2/operators/feature_maps_ops.h,sha256=n-vegoE_FsD1vXPPzzK87SbfQoSSLzizlzdrKBKnRvU,30851
torch/include/caffe2/operators/feed_blob_op.h,sha256=K87IJ-EOAnoUFtM9uUVs4l4OFJdMyBq16Y4Ag5DJHWw,836
torch/include/caffe2/operators/filler_op.h,sha256=dJHcalZXAJdPcZWZBnd1rs1RKxF1jL8OVg8Vs4QYNao,18561
torch/include/caffe2/operators/find_duplicate_elements_op.h,sha256=hkr7f7c38Z_xNDbypNmo6rv9UiR1EqbmMVSrFATjwCA,1611
torch/include/caffe2/operators/find_op.h,sha256=6FAbfA3kmW_zOo62Qa-Xlhn_gMoYZY8eKP1Bhn8S6hU,2133
torch/include/caffe2/operators/flatten_op.h,sha256=yW1m40Ke7nxSbTFvjBIl9rLZxMr3biTi03R0mPtU_24,1586
torch/include/caffe2/operators/flexible_top_k.h,sha256=PdJ6zHcBF4odZmo7oPk-fiz9ra7H8xA4KpmFLVROaN0,974
torch/include/caffe2/operators/floor_op.h,sha256=rSwR2hN3J64jkVnm-xRzg00LSN9KvQNQonmvblOtWEU,821
torch/include/caffe2/operators/free_op.h,sha256=sQbXX07rf_QKz3qDoVm9oW7CoKfAmyHl3tfnnuebl1c,806
torch/include/caffe2/operators/fully_connected_op.h,sha256=_eeiPSRniKjU4f0ST9eiFPO8o7o43sFcjwOtA8H1ztA,11071
torch/include/caffe2/operators/fused_rowwise_8bit_conversion_ops.h,sha256=HMhJOJ_iL1SxSvKm76I04rPMu_16yJQtUyDi7wVPOt4,5473
torch/include/caffe2/operators/fused_rowwise_random_quantization_ops.h,sha256=cQ2ljM0sj_nf3x-JCOvSrwdRsHOzeIEjFLGb679shwI,2700
torch/include/caffe2/operators/gather_fused_8bit_rowwise_op.h,sha256=tR6btyTYpMyRo_0aa5KvxlDMV0KBpZW6KslZs4MNNZw,2244
torch/include/caffe2/operators/gather_op.h,sha256=OPVe7lzzyM1L5SZD3WGRLAFQTWU3258pX51rdsaq5xM,6834
torch/include/caffe2/operators/gather_ranges_to_dense_op.h,sha256=9WCHIOh_6pDaYpZ0rhjYHRWfsBJjYtJa__vDHDbXwUE,4623
torch/include/caffe2/operators/gelu_op.h,sha256=oTkZKv4KxLk2tu4qYLYiciOZgG-ywLl4EBlqzQBuZ6o,1551
torch/include/caffe2/operators/generate_proposals_op.h,sha256=K_QN4ksiXD5x0S_PQiJ6b1k9ShHPE_JfftnhcJ6HVq0,6163
torch/include/caffe2/operators/generate_proposals_op_util_boxes.h,sha256=AeWI7fDe2doWwzrLMHMlMUhC8YBatc651UjXE9846og,13891
torch/include/caffe2/operators/generate_proposals_op_util_nms.h,sha256=AeeyqNLBmkhSR9BZJZS2RSGAARyEO1Lb-3r6svxH-p0,25458
torch/include/caffe2/operators/generate_proposals_op_util_nms_gpu.h,sha256=xUVS1_6p1B6-Cui_phNYFxh4f7el0KH4l4pe3fSO24s,2135
torch/include/caffe2/operators/given_tensor_byte_string_to_uint8_fill_op.h,sha256=zDlE24HnCrqrj-Kpw2T8h93xbkbmToab7f5a9MHb0ic,2120
torch/include/caffe2/operators/given_tensor_fill_op.h,sha256=Vc4dnWG9RVuIC3en0Ai4-7e6HnlkIK6DvwgSqbBwJNk,3011
torch/include/caffe2/operators/glu_op.h,sha256=Q8zYXSNU0eQl9xvV-B5j-pV-db6BP0p7jEzebkxG7Yo,1514
torch/include/caffe2/operators/group_norm_op.h,sha256=c2yhW1h_d1K5kioGmmuLnpI7V7B2BJee_2IUQQuxKFI,9152
torch/include/caffe2/operators/gru_unit_op.h,sha256=EoaGSCx37KJ8GOdPeaNVVOLLFY6xSxUi9w_hqqGVh7E,6866
torch/include/caffe2/operators/h_softmax_op.h,sha256=Pyz55YuvFbVJB_7CaEzPAGJlpr_A5oe-HKHhDNpM5gc,5156
torch/include/caffe2/operators/half_float_ops.h,sha256=oDMLRxFC_jzoVksF50RHr7SsPlZeHR0dRWXUL-UXoA4,2603
torch/include/caffe2/operators/hard_sigmoid_op.h,sha256=UbSdVf-_rpRMzIv8liOhDuJew-ruXNmhi9C5qiPLAjk,1035
torch/include/caffe2/operators/heatmap_max_keypoint_op.h,sha256=Krjbmc9fXnTas3nZ2arWOg01_QfFYwJY123ArHfiUBU,865
torch/include/caffe2/operators/if_op.h,sha256=hX1c3J2DGLyPADk-fsMVUFvsnkKQeavcORr43-1nKRg,1825
torch/include/caffe2/operators/im2col_op.h,sha256=RjtKhF6XWYFzlrr8IByunVMqCObgUAmi5TGt7Kb_QtE,9241
torch/include/caffe2/operators/index_hash_ops.h,sha256=6neF_2FhkKSenBXrpuzUrZWxF_OWNG4PsyaU26ihMPI,2192
torch/include/caffe2/operators/index_ops.h,sha256=lvIjoR1Anbch88ZvfFsXwj7UeM83Xq2EhbtuT70JdMg,3166
torch/include/caffe2/operators/inference_lstm_op.h,sha256=HqrW-au0m6UnXq3HeJ7HCxY2-eqPFgWDsqu4HzLmatk,10133
torch/include/caffe2/operators/instance_norm_op.h,sha256=1axnx0iy7vyCrZv9sWVl-8uJ6UfZNY4lyiRQiWpMxTo,2801
torch/include/caffe2/operators/integral_image_op.h,sha256=Uhh-0V8H_jrxPo0r2Fi_3oKAv8gtP9iznsfSyeT4gHw,961
torch/include/caffe2/operators/is_empty_op.h,sha256=m70lutjFlobE30dYR1NkeS-hY0X_MIlyMsWBpq2J2pg,584
torch/include/caffe2/operators/jsd_op.h,sha256=1dAxxzI9GwukYofh_kgpYnCd4awSJQfrdLos2ImLWfo,750
torch/include/caffe2/operators/key_split_ops.h,sha256=kRuljTtn6MbMGoUXtHh14qi2gtnVJRWyvo4UVvNjkAE,1453
torch/include/caffe2/operators/layer_norm_op.h,sha256=MQYIapoZ5I0ZC6WqOLP9WowwE07bV0HqQtPRwSc0Kd8,6720
torch/include/caffe2/operators/leaky_relu_op.h,sha256=-IBqvGhZPlF2p-VtAFjOVp0eXcyLm5DL9PiSpX9zqiU,1158
torch/include/caffe2/operators/length_split_op.h,sha256=oxKA-CUzybt2PSSI1qIUzyEibVP3XuWbWeERZpnBnhU,2334
torch/include/caffe2/operators/lengths_pad_op.h,sha256=mfvN60jQV38nXrFgcaACT7Ma5nZCJyE9NtWi_3b5wLA,2662
torch/include/caffe2/operators/lengths_reducer_fused_8bit_rowwise_ops.h,sha256=UCRQfOAIUKDq8j9m821bDVTPOVA3wwT159cvT2InBdU,2799
torch/include/caffe2/operators/lengths_reducer_ops.h,sha256=0W7TJwrKS2xDVChzzvXqvnarkTdk6CsU5kDCg1vcAzo,3628
torch/include/caffe2/operators/lengths_reducer_rowwise_8bit_ops.h,sha256=W1yIMkps1da0OiGNZIwdkC2ziZV3VsHI5uXsMY5lfDM,6343
torch/include/caffe2/operators/lengths_tile_op.h,sha256=WWuA71q6HMeCKtC2RV5mv_y75I9Fx0-TizdGLzBc0fs,611
torch/include/caffe2/operators/lengths_top_k_op.h,sha256=a10xUD-TfBwIRVLJSm4r6g9VEegNtt37-rN52UNR3Ek,1411
torch/include/caffe2/operators/listwise_l2r_op.h,sha256=QrBzO6SFNdaLpDuQGT2WlHsT788KgopAC59Q9C33zUM,1574
torch/include/caffe2/operators/load_save_op.h,sha256=tBWkeLzi14VpGYqBFlK9z_APyop9nYgOTzvY5NykQZY,20714
torch/include/caffe2/operators/local_response_normalization_op.h,sha256=emShD8_Wqkq8VGKl8wYX-dH85zn4tA88EJOvozEnsi4,2899
torch/include/caffe2/operators/locally_connected_op.h,sha256=7zPHlhFGRmdx0qitoGi57trfn9QQerEIvdbWVRlLS18,4003
torch/include/caffe2/operators/locally_connected_op_impl.h,sha256=9wzijVEeZF_Tc-ZGagfpAvxj0q9rMSh3FDdiDn98JvM,27359
torch/include/caffe2/operators/locally_connected_op_util.h,sha256=FKruO9vjjkLjl_E-ko3_QFTdxhyQDqo9juClOcDfy6w,1395
torch/include/caffe2/operators/log_op.h,sha256=EpyhuMKOPzM2arH9A1034gy5KZPrTWldkuqJX-nBn-4,451
torch/include/caffe2/operators/logit_op.h,sha256=XbL3Iu7Rv6hkcfujQPWkk8r9ERZTLIuWWk5_JJCJUE4,1078
torch/include/caffe2/operators/loss_op.h,sha256=h0ZGNXZK-xXYLrdfkP9NVzxti8qxXVGzy8isTdlxtXs,1093
torch/include/caffe2/operators/lpnorm_op.h,sha256=a9UTINcgVfCoAPrwK4n0XvttFfnkufUHkzdh25PxrBI,1329
torch/include/caffe2/operators/lstm_unit_op.h,sha256=kyTRL0wv-cWaCyvSG5g8Wjcc_VsfOANo9BGL5umD_9s,9114
torch/include/caffe2/operators/lstm_utils.h,sha256=glUhVtrllWjjkuACbfJeVUOAGUWnx26dBOUt05YyOgw,9742
torch/include/caffe2/operators/map_ops.h,sha256=au8CbBvow5HCa3qbT4A-ZTiUddlaRZ_3PPvfz7nsvBo,8245
torch/include/caffe2/operators/margin_ranking_criterion_op.h,sha256=BXH934zwT4jCv6xovOQLzCX76Q4oFod8w8nm9rfy4qQ,1155
torch/include/caffe2/operators/matmul_op.h,sha256=csnV_HtlHXa0YK0gcOqV29cWCANHEi_7hMDtdAYp5YI,2947
torch/include/caffe2/operators/max_pool_with_index_gpu.h,sha256=4WQpsugLFPMERB2w9afB_GSa8fLQlUCyXx6tCGEQuGA,1201
torch/include/caffe2/operators/mean_op.h,sha256=2auQHqXlmLdfqgbtKVTrjF97hb4ck51O7MeN40aZvGc,3161
torch/include/caffe2/operators/merge_id_lists_op.h,sha256=lLcQMTKylgmgYxZk0qOlQMS7Ru1m1ttmOCV-4v-R4Iw,2496
torch/include/caffe2/operators/minmax_ops.h,sha256=evHmpXqN5FlQLUztkpU7Vbez--tmmHRe86dpmNREWDM,3968
torch/include/caffe2/operators/mod_op.h,sha256=lU1-GyZqXWWGuukuTSeg7SZlSag25av9QBiUoppkTnY,1024
torch/include/caffe2/operators/moments_op.h,sha256=Y1Ix_lKluS5dG4zOou3YwINdVYQJJRH09iazTqp_ij8,3890
torch/include/caffe2/operators/multi_class_accuracy_op.h,sha256=XLcq8d5YxOTKyg5oHVZsIKp64UOQrE5e9iyrCnYBISY,561
torch/include/caffe2/operators/negate_gradient_op.h,sha256=kGj2Ox84aio3QQJqBn5UKoKlD6zG2jU7I0sW-oNOdcM,593
torch/include/caffe2/operators/negative_op.h,sha256=MLCiuWX86EhRTlurAKHin4et1mHK254cH7CdbqivV_k,471
torch/include/caffe2/operators/ngram_ops.h,sha256=z1m3S8NaoNRj3NXPtBB_HPNookAGJjU_VNAJOx-GVmM,2727
torch/include/caffe2/operators/no_default_engine_op.h,sha256=8CoPW_eQ9lU5eweVKDR1U2J6Fu4sxSEdivl6gV4w4z4,1098
torch/include/caffe2/operators/normalize_l1_op.h,sha256=hfu43Yn_ptCm0mL8uk-3730EvNfOcDqHWIyti-ik5OU,1114
torch/include/caffe2/operators/normalize_op.h,sha256=S6465FUc5UDjXVL16TbiaDXyliM9NxVjHq2pyvj5CXE,3110
torch/include/caffe2/operators/numpy_tile_op.h,sha256=NuSoGbsfPvQZoswa5E4sWjp6XdgakcK_F0UCZzv72b0,3707
torch/include/caffe2/operators/one_hot_ops.h,sha256=lw4meFLOCSAMmGVcx6Dnmp8cZ9hNhUMRW3iSIJBZZF8,2553
torch/include/caffe2/operators/onnx_while_op.h,sha256=lifIge-3ux6Ku-IlYPTDOmYr-EQFXjOXT4T7yTkTJhU,10914
torch/include/caffe2/operators/onnxifi_op.h,sha256=Kqs6qTOL_8hW9KNNEWCImVWdS02D8F6n0jn26P58Hpg,10924
torch/include/caffe2/operators/op_utils_cudnn.h,sha256=9NXZlA4LZRyLCOpVzL-eP-sYfISaGK4pJxlFOjbbYXw,2166
torch/include/caffe2/operators/operator_fallback_gpu.h,sha256=kC8d6gyC1G8YJHG-BjLMMJy_24-ARMCsKCv-bPpQMOY,4265
torch/include/caffe2/operators/order_switch_ops.h,sha256=TPml7Z3OxA18_eLa6bkO5jgE8H8yWQ4H6GUBNqMrlI4,2240
torch/include/caffe2/operators/pack_rnn_sequence_op.h,sha256=jPk4I9OU8eT9e-sI_1Pc1kDtPq8HU3Y9iVvpCA2pMrY,3167
torch/include/caffe2/operators/pack_segments.h,sha256=Wea6SLBorYx32hYqDHOngPEmW-ckFlXl4UNuqoNDhWE,2672
torch/include/caffe2/operators/pad_op.h,sha256=IXs_iHzyk4pc6t7_CVfqb_ZxOPxI4o0o_k0vAkOi1vQ,2997
torch/include/caffe2/operators/partition_ops.h,sha256=eDGBu4ZwQGrJEeYdG3wO9vZBM9m2EY9L93-84tFu5YM,10274
torch/include/caffe2/operators/percentile_op.h,sha256=nY4-EX9Y23NLsj-rmaK5fZwaCsI-H8zPkHeQ7VhbhX0,945
torch/include/caffe2/operators/perplexity_op.h,sha256=-guIHykV6TN1tDL9gTkzRwQMrXzc0FBUFVKjredbx0c,466
torch/include/caffe2/operators/piecewise_linear_transform_op.h,sha256=oD2UEqmiPgLGDeLtaGYDyEEqe3QrlzLRSVxUQ8P6oBc,8419
torch/include/caffe2/operators/pool_op.h,sha256=ShDpa3bHlMs4pEM9innA-30FaUuPefE6fv7asOcQ75k,8840
torch/include/caffe2/operators/pool_op_util.h,sha256=DuXGO8R6g9exeUyMCCeWY2o4l9GC45SioRPUZgthop8,1170
torch/include/caffe2/operators/pow_op.h,sha256=7iJ3Q5YeWj1RbpiKimPJO_eP0vs67fuyiVe4pcL9Mm4,4815
torch/include/caffe2/operators/prefetch_op.h,sha256=Zoi6HRCHeTZ9SaMCqVIC1CcKZYnTW30BEWcusfAshnU,4797
torch/include/caffe2/operators/prelu_op.h,sha256=R8LmGaTqJL-9_KHAhLp1Pryy-m1JjZ8RmAoTRHbDM2Y,1110
torch/include/caffe2/operators/prepend_dim_op.h,sha256=Tr05l4gOkn72CxW1H-R0-raOUUY448pnK7DFhS3IEbA,2749
torch/include/caffe2/operators/quant_decode_op.h,sha256=iVBIs-QbEoRhlBrFdbBNgySpd-Dg9PMtblegRx9krj4,5540
torch/include/caffe2/operators/rank_loss_op.h,sha256=fuIVow8zi5yDpuzMbZZ0YhnMiOBXF7bAxq7Zz2-oDzo,855
torch/include/caffe2/operators/reciprocal_op.h,sha256=KHUYHF7yANjbidWsHGfFf7-P8UdwfZpXPHTgfMb4nSU,753
torch/include/caffe2/operators/reduce_front_back_max_ops.h,sha256=qX5DCRfy-C0CRuvVjdJwdwVZaD6ymBicBdfuFz7rXGA,4545
torch/include/caffe2/operators/reduce_front_back_sum_mean_ops.h,sha256=Y2nytUP0hza6OOra_fH5YQX3XssZiMWl73eK9UVjZow,5511
torch/include/caffe2/operators/reduce_ops.h,sha256=N3fKOE3yy80Lbfh2Xc5EWH6ToXK6LVUeHIIBhVINgIE,8918
torch/include/caffe2/operators/reducer_functors.h,sha256=uOGpegMh4wXhgMaCEkkEitQTYrUmWzJgmwbqKIjfEOE,25390
torch/include/caffe2/operators/reduction_ops.h,sha256=8jTvQfzFeeSFlAmTBypObciQ8lN5B6gWHb3KtGVV6iA,5989
torch/include/caffe2/operators/relu_n_op.h,sha256=k2zxcJ1hkMugLiS3O56pLRI_ihVggZcdpua_OwnTNXI,1034
torch/include/caffe2/operators/relu_op.h,sha256=qiTqiDljC1lfSHwSwmKP3mLfhveclZWU59omaU_djwA,654
torch/include/caffe2/operators/remove_data_blocks_op.h,sha256=27lAYInk8sFZXfCSO6X5u1LiHa5X-EPTy2eHY3XH_Ic,2736
torch/include/caffe2/operators/replace_nan_op.h,sha256=iZbsUEpLXwkCwmRqMoF7augpEYi_If776Oj4lYP0hlA,1215
torch/include/caffe2/operators/reshape_op.h,sha256=-nqLtZ-Z27yHMLs-BbXcI-U1kxQOBRhQosqLBat8obw,4387
torch/include/caffe2/operators/resize_op.h,sha256=yoGN_5ozxurE695MF9RR_MfL9xQrTInt9IvPlb3jvDY,2285
torch/include/caffe2/operators/reverse_packed_segs_op.h,sha256=mc55cT1XP9fb67IvttCcEAMH0BaRwXjGVHab2zvEcJs,2861
torch/include/caffe2/operators/rmac_regions_op.h,sha256=yyuVf0xd1eOedfVXTXV_qmJ1ioFX1lUHGPezWXAcIDs,738
torch/include/caffe2/operators/roi_align_gradient_op.h,sha256=m3v17FkkMIJt8VKQo1b1F3COmKGKMW3OZaPb7kDk7Mw,1255
torch/include/caffe2/operators/roi_align_op.h,sha256=wDnT6der_Fd44IRxq_exunqKIDKV91iy2s2l_bxZqEk,1491
torch/include/caffe2/operators/roi_align_rotated_gradient_op.h,sha256=qNIcbgTTB-xnTo3smS7Eet3mRabdJu2JeDrD3ADoKh8,1320
torch/include/caffe2/operators/roi_align_rotated_op.h,sha256=U3Th_cHHUfuPsmNgCPEoVpliJzHwSNnn6nqiBGxEbUo,1488
torch/include/caffe2/operators/roi_pool_op.h,sha256=qBel-USceMICu7xsOEmNx3RT8voLnimYSR07Hd4FvE4,2582
torch/include/caffe2/operators/rowmul_op.h,sha256=7CUdTmylXc7VrDmKEjgJkRQGVRZx3b8TSl-4cEMQwrs,2023
torch/include/caffe2/operators/rsqrt_op.h,sha256=ElQYfFhSVw8J8k8jQLRFs8k9jrq2cvfjVETy90F5MUM,763
torch/include/caffe2/operators/scale_op.h,sha256=IEUs9hWNJWjz7dIr9h8cvaIdFdDVZ_kJoHDgpfwK-w8,1054
torch/include/caffe2/operators/segment_reduction_op.h,sha256=BPTi8sVRyk-DcPsl1mVDkFOpBKZo199aqFx7FakcQvI,72580
torch/include/caffe2/operators/selu_op.h,sha256=8S7HrMQ9he1vis7aSMq-Atlu00KQvy8HI8KCaGvKHLY,1603
torch/include/caffe2/operators/sequence_ops.h,sha256=QxCA1vd4g8oDZR7ePFd1UJALOB2Xiolpn1ENY_JFQMg,8526
torch/include/caffe2/operators/shape_op.h,sha256=PQBTLc00nL8CDcjrWPUyT7Ijc4fM59UmRb_ed7HL7KU,1692
torch/include/caffe2/operators/sigmoid_op.h,sha256=Xkh7TdpBqY6zbQrRCl6GensFa5QER55HZYD33ZRthtE,669
torch/include/caffe2/operators/sin_op.h,sha256=JyHgaLOPyuIrhvNCIuQ3bYHJdjzdEjhnUqRYVF3ZM3A,739
torch/include/caffe2/operators/sinh_op.h,sha256=vXmf6ZLwm9JiDzTFoXUtueMNg6oFDaBLheim0v59EVs,745
torch/include/caffe2/operators/sinusoid_position_encoding_op.h,sha256=p28-DBUXVh9-cFGX5VWbuvm9lU61l2mkBGExsD_yDiY,2893
torch/include/caffe2/operators/slice_op.h,sha256=LAN7XdAW3ptIhFu6ya4RwHI2SyIDQXNq-_v61obaoX4,10344
torch/include/caffe2/operators/softmax_op.h,sha256=PvWsqMjyNyrkMd1fu8jy6JJXAmCmNMxrMWdmw-bh2X0,1221
torch/include/caffe2/operators/softmax_utils.h,sha256=3c0Ko7ntQmJSPTEf6kOXuTMI7L6mVF79gK3RNareE-g,470
torch/include/caffe2/operators/softmax_with_loss_op.h,sha256=beJulqs968qVALG3ltLE9qG5Sp2Lk5Txe4bQVphevQk,2681
torch/include/caffe2/operators/softplus_op.h,sha256=aYxFnJzI_t38PD9IWsD1uitZadRRSLmR0cj2pGYigLU,817
torch/include/caffe2/operators/softsign_op.h,sha256=F61Of0hNZhzIXjR968QcgyKlJUFbIpNbBLgschlWvLI,706
torch/include/caffe2/operators/space_batch_op.h,sha256=qoaoJal8I3rh_orOHnMC_0tIg804sIUGI3NimNYLR2I,7057
torch/include/caffe2/operators/sparse_normalize_op.h,sha256=AnNimtdZSNGNjbh2__bj5PTCEA1gU3QEp9zP3xTWo1w,874
torch/include/caffe2/operators/sparse_to_dense_mask_op.h,sha256=k7vEi3FP1kE94zFwJybkbKOQMcZIdrxKJTq9m-jVSpE,9928
torch/include/caffe2/operators/sparse_to_dense_op.h,sha256=A1QAjIqsc1ud3B8eJtLUdTjD6YtoEOb2-UVnSCaEuWs,4104
torch/include/caffe2/operators/spatial_batch_norm_op.h,sha256=XjuC82SWawQ5-5C8DJq2QJDql646h5HaJg7jpfOmrFs,15354
torch/include/caffe2/operators/spatial_softmax_with_loss_op.h,sha256=s7w_9O8yeQrQovQKqjSiK1LDOsNWmSLIN3wFHNiq61g,2252
torch/include/caffe2/operators/sqr_op.h,sha256=GEWrSzYd-teDLwfM84lQNaFvuXEutVjj7A9E1VjXxco,451
torch/include/caffe2/operators/sqrt_op.h,sha256=AgYmI-UK2IlebUL2-NjhTQpo6otou7HsVrw-qWFwhXc,468
torch/include/caffe2/operators/square_root_divide_op.h,sha256=xEQoIr5hgKBhjspk_0OKi1JlWitx4JPMIKkIH7Ns9Os,1865
torch/include/caffe2/operators/stats_put_ops.h,sha256=2fdHCd9Z3L8FyZgu7xBrEVU68jBUNv4Fa8cnAewXEB8,2852
torch/include/caffe2/operators/stop_gradient.h,sha256=d1n8J3wKhWcMwGdbo_lOPAt-7lF-IMmncCCqmF2lbMg,573
torch/include/caffe2/operators/string_ops.h,sha256=w2UX3ka7tM5PFNTxvPzyXkXvZmsmzGL0jBlP46IYzPo,2143
torch/include/caffe2/operators/stump_func_op.h,sha256=-BoIIVHZ9AuzdNOlKw8zFQlu8qck4ogqjfez6DUiet4,2183
torch/include/caffe2/operators/summarize_op.h,sha256=76iNwlcyCHb9bf5eKpa-fo1iGwnNllwXnvJN30j2_Ec,1936
torch/include/caffe2/operators/swish_op.h,sha256=bvjH2LPrtGJQBYIft4WH90kfI9t10bLMUoz_-hYYqQs,807
torch/include/caffe2/operators/tan_op.h,sha256=Taxvvt-s2XYwIEFy6Tws9O-qDsFRWbKRnUwl0xVOk00,739
torch/include/caffe2/operators/tanh_op.h,sha256=roB56D99x9BnHJNh3OJpXfhH7xgYePZhsbkLnI9Sx8g,757
torch/include/caffe2/operators/tensor_protos_db_input.h,sha256=5JKVQ_2PmKvdcV55rbI7YOX7rzM_5TvwvOOKa63ackM,3740
torch/include/caffe2/operators/text_file_reader_utils.h,sha256=TfECfMCfBeQsNZM-FsO8x10aQklQjkk6aGGdl8lCZzM,3029
torch/include/caffe2/operators/thresholded_relu_op.h,sha256=vzUywY3CmuMaqdDtBsC2PbdVNKzmQWl2QjbTXAEb2gQ,1182
torch/include/caffe2/operators/tile_op.h,sha256=GO9EPQtk4QJRMP0EFfA7IXsDMC_PX1DhgEUBV433mG8,9008
torch/include/caffe2/operators/top_k.h,sha256=FA8Nm40i7GKgzHNSbIt-eOroUT8UntbCwfNtl3nGgBE,1168
torch/include/caffe2/operators/transpose_op.h,sha256=EKeWh3j26bl9teV2HQnn6HBb-Tmm6LKZQJOzicRdafM,2043
torch/include/caffe2/operators/tt_linear_op.h,sha256=GGF90aidLqUb5LL9FuTpa_PMGqeDuMT0qi4jsSdU0AU,6643
torch/include/caffe2/operators/unique_ops.h,sha256=4kZVbvNpJ7CCXt4xc78YthxgOKWKO1_U4IEPFO3bdfw,1726
torch/include/caffe2/operators/upsample_op.h,sha256=nhpG5lvNKNis2WvAw7lpBQ_bP9fJDSgXTONkc1ETlPQ,2322
torch/include/caffe2/operators/utility_ops.h,sha256=UgLDb_8y15gHMjAlFpLxvXvRUoZfE0E4N-sI39cw1Gc,44459
torch/include/caffe2/operators/variable_length_sequence_padding.h,sha256=cnyHySffha4Yg_SkMBBYDlXuk12zAKl5EMktPt43u20,1434
torch/include/caffe2/operators/weighted_multi_sampling_op.h,sha256=P_fPRZWc6Gvbx38pGPNngB7iVG0GIKAy0R014kEkWK0,628
torch/include/caffe2/operators/weighted_sample_op.h,sha256=wcM7bA5XIi7JW8C294ZrzwpEm3xsoTQW6T46KPC0khc,770
torch/include/caffe2/operators/while_op.h,sha256=mLn09esT7EMtHFJUDFFYfDDPASg7rNPBcTLREkMFyAc,2033
torch/include/caffe2/operators/zero_gradient_op.h,sha256=sZDzx1E2O_tPaagBFW4UYuJcoHUIFOJhyfw8HT4n_Wk,367
torch/include/caffe2/opt/annotations.h,sha256=NIzCShfoM7VeAAHl3iYwVHCW6_c0RrjxOJ5_YVC26mw,2210
torch/include/caffe2/opt/backend_cutting.h,sha256=hPazFHm_CDwh4D6_te2rhiDJFSmhWltV0a3KJRssEJA,416
torch/include/caffe2/opt/backend_transformer_base.h,sha256=V4WXt_1HpIIpxNQ065QFYzzGNc7rkUNl5NGkj4m5-Ik,2450
torch/include/caffe2/opt/bound_shape_inferencer.h,sha256=PzgUh3Lm9OpOQXjLyG8rXVOph1_w1rIOewQt6LEgD6k,2962
torch/include/caffe2/opt/converter.h,sha256=dwGItv66OPSSVnjk_1uH57eURghJ59M4mNdSUeKPtXc,2990
torch/include/caffe2/opt/device.h,sha256=941Tno8Dqv_mD4YAMTU68Ke5tRVokDTWZIYn4x_E8F4,457
torch/include/caffe2/opt/distributed.h,sha256=oQX0uH78S0xFOpF6ad0w_iN6TI2zELuO7w3V6OAHfPQ,1163
torch/include/caffe2/opt/fusion.h,sha256=m1bR4j_uknH3qgIpK-AL7o4KVQtkTEVd10Mg1Np2e7I,4264
torch/include/caffe2/opt/mobile.h,sha256=-btwYqEehmtIQK0lJqC-2C0ba8DNG6dedfz6y1fzGaQ,406
torch/include/caffe2/opt/onnx_convert.h,sha256=vaYgPHJ6gyHE8kGEYeAEIugKkmF5JDLPFmGNqhfnFx4,1320
torch/include/caffe2/opt/onnxifi_transformer.h,sha256=mkBOrc4QArWSfio8nX78o9VzCDfEaSR77hqWe90NF_0,5401
torch/include/caffe2/opt/optimize_ideep.h,sha256=QeNrMblwfzxzxXB527n_VoPRomlib4zprApOgbsvQkk,368
torch/include/caffe2/opt/optimizer.h,sha256=sQhfuDl0rEYKRoNpjVUfo_KL08Cd7WXjLa4DoCItass,421
torch/include/caffe2/opt/passes.h,sha256=NSvTUtPdN0efFw8tFn42SD-4zF0DUpmQmHRBSRIs1WA,2719
torch/include/caffe2/opt/shape_info.h,sha256=EzlnXzaCpYKHTCAuc6YjfZnI957V46UxW5hg_2S-6x8,1483
torch/include/caffe2/perfkernels/adagrad.h,sha256=zlNaZimfsezzQjeSNlFGBvy0lomT78E1D_Qp6Tip5CM,12014
torch/include/caffe2/perfkernels/common.h,sha256=rkjU4quqcc4oKEym6HWFszvy73pp5T0e-16QtDhGYI4,3687
torch/include/caffe2/perfkernels/cvtsh_ss_bugfix.h,sha256=LFg_od1sfHjqCB7h-Cb4AgwW6GTZCZt9DZ9-FlhyUTk,1995
torch/include/caffe2/perfkernels/embedding_lookup.h,sha256=s-9Kp1yQ0YHucbgjjxQmJm8FaTcJCKR8Gilq9Q4oC5E,1591
torch/include/caffe2/perfkernels/fused_8bit_rowwise_embedding_lookup.h,sha256=BUush66JyGCepFidmdL6lgvvXd-z87GbTuJF9UAuUv4,1744
torch/include/caffe2/perfkernels/math.h,sha256=2nGOAJ1O0COyW-GE34AbwYn1WZK-4a85-NfmxohY5Yg,1138
torch/include/caffe2/perfkernels/typed_axpy.h,sha256=dwM36Q8dzemKEQYuAt9lQJ9NndQ7dp8A_A-a_6dDDfM,367
torch/include/caffe2/predictor/predictor.h,sha256=0f3472VkpjRjHiXObq0Rn_-Wmi0ojeyiUJj-k6yspfM,1882
torch/include/caffe2/predictor/predictor_config.h,sha256=WMB2cNvrBMNTlXApOKVC0vNuI4LoMiy7O4kDgfkkmGI,1988
torch/include/caffe2/predictor/predictor_utils.h,sha256=RgcQGCy1DY8AC4v6R3c5I9GYiASIeXM31i4iBP0nYdY,832
torch/include/caffe2/proto/caffe2.pb.h,sha256=jZ86l7GIPPyayIfaTjgCbt2vCvY0i4KHd7pIztcon6w,291721
torch/include/caffe2/proto/caffe2_legacy.pb.h,sha256=1umGEDquDKYND_9yvEunP9GpdAdN7E8EImZIUDY82ew,17392
torch/include/caffe2/proto/caffe2_pb.h,sha256=u6oLTf6oBzaAqY8nEc2HVYAkxEwnXaGlnYZ5qTf_fPA,4605
torch/include/caffe2/proto/hsm.pb.h,sha256=kzaLU2AXg7PJNmD2ccddokOE1r7yAR3aosoAWt7KdpI,42108
torch/include/caffe2/proto/metanet.pb.h,sha256=5werrQw1b2igcf27kr6CCKttq46MoeSv4G6K8W10vq0,74296
torch/include/caffe2/proto/predictor_consts.pb.h,sha256=ntpY4Bb_poU1UjFDR8nkOOJlDy11WIsyt1RGBrwOViY,61774
torch/include/caffe2/proto/prof_dag.pb.h,sha256=M_TXvwJkBUTdrLCQ3AQT_ZpMMxopU5doTOUYaU859D0,46264
torch/include/caffe2/proto/torch.pb.h,sha256=agyysKpatCYEzC_nYtsTj2bfeDxucpUEumpOTrk_wOw,91824
torch/include/caffe2/proto/torch_pb.h,sha256=uKG4M6YwiLzlM8-lFq4MaA8IHvFyE1ypSXnybCpenKg,214
torch/include/caffe2/python/dlpack.h,sha256=a9urtfmsORJeIH053NLl-LRIHcXmwb3TI1iE0-0Nu-Y,4315
torch/include/caffe2/python/pybind_state.h,sha256=SrG6mJPIyfi8oxZCkVif8T0NetToNdmPiBm0MvBUpOA,15740
torch/include/caffe2/python/pybind_state_dlpack.h,sha256=Ploct7K5PTdtQtri2wTJMM2eam5fXZv8V_Q943pnFGQ,4295
torch/include/caffe2/python/pybind_state_registry.h,sha256=VYjuuKtqg0W_NJchbQO-uGDPRZeR3T57HKCeduBOjf0,1051
torch/include/caffe2/queue/blobs_queue.h,sha256=FeOxtt3RX-JNt2hupO34AwkbQ_X_lnuAgGksv1wDPOI,1850
torch/include/caffe2/queue/blobs_queue_db.h,sha256=Cc9LWyKkZqkzi8kmGaHXJ0J1K8K0lB-E1q202MQhplw,3434
torch/include/caffe2/queue/queue_ops.h,sha256=Yr075WSG1qEqFKBpVXawW30t5G_VhrCDtDCBqNJq0rU,8545
torch/include/caffe2/queue/rebatching_queue.h,sha256=Mtb2kAqacaE5hl17KNh6FSiUDAtv0XHsjPxd1PRRU_U,1450
torch/include/caffe2/queue/rebatching_queue_ops.h,sha256=JbtK1SlqPRwT0eA-VFKbHBpWXDEuxqJ-IEUgulVoTxk,2573
torch/include/caffe2/serialize/file_adapter.h,sha256=ho8AEtig_u5wko4o8gvcT0ABddmtNzlkcb-X3hFYe90,715
torch/include/caffe2/serialize/inline_container.h,sha256=2hZSEIunRjva_4qICiGXUYKLCeta0tFjKIcw3rwEYxQ,5856
torch/include/caffe2/serialize/istream_adapter.h,sha256=j2lOdL1k6JHjPubTG6O4zRXTY0h0Y9uxZFxYjUqg5aI,688
torch/include/caffe2/serialize/read_adapter_interface.h,sha256=O8yWUpW28cB_4XR8Wj82mi-z56bIi9b20GvgDjEAHYM,580
torch/include/caffe2/sgd/adadelta_op.h,sha256=CQAlHTx6RuxeoOdgtDd7CdOQ4fX5BKtztyhG4L1vDAE,6034
torch/include/caffe2/sgd/adagrad_op.h,sha256=zKYP5C3bbdy4WYorohYJTkDa930UzedeKCqBdLzETwQ,10567
torch/include/caffe2/sgd/adam_op.h,sha256=kNdnoYTQ981TqIJ51bhtvAwHJz_QCKE2kBiLcsjZNkg,16921
torch/include/caffe2/sgd/clip_tensor_op.h,sha256=upua81_1bqVoM18h990Pxi5dJsrkGLvzcyCTkcwTSmQ,1919
torch/include/caffe2/sgd/fp16_momentum_sgd_op.h,sha256=lBjynwWT2FozaX15DMsRsD-a4_vDh6K_9AQE3pzcqPc,2364
torch/include/caffe2/sgd/fp32_momentum_sgd_op.h,sha256=6XdTViC9eD0tOmX0dUD2GB5Qw_u6sz25iHWHZ8BBTNQ,2081
torch/include/caffe2/sgd/ftrl_op.h,sha256=BB7q5xhcyKDDwHSl7HSUzTXcv6gbOAQw8DnOJSbDudQ,2297
torch/include/caffe2/sgd/gftrl_op.h,sha256=FHxp6kCFhkZWq0DmADkrVAfTehr4TGqE8hOKgOw0JiM,1066
torch/include/caffe2/sgd/iter_op.h,sha256=kbZZtrexNjqBjS6zABaLxZWNtXL0ELsXBfhH_YKJMA0,3429
torch/include/caffe2/sgd/lars_op.h,sha256=08FkMcja50LI48_jw5b5SbEbD6u3qzB7l9X010cW_Ck,2572
torch/include/caffe2/sgd/learning_rate_adaption_op.h,sha256=4yxCj5l1VwJyuAR9gkxSojyEqTqwkRXETCSDIfsFFN0,2048
torch/include/caffe2/sgd/learning_rate_functors.h,sha256=oiGkUh29vmS03GHLEdb8iEMxLxrPXnk6Jbgq2JbrjTE,6406
torch/include/caffe2/sgd/learning_rate_op.h,sha256=gGihgQmLDiytlhE0saHP3nDaOVxiS5rOSOcnVUD9Wtc,6937
torch/include/caffe2/sgd/momentum_sgd_op.h,sha256=tN6FcN3o6lrJtoJ7iBx2jpshpsCAcTQ7En_EKwKG7I8,6183
torch/include/caffe2/sgd/rmsprop_op.h,sha256=alhFCOxLpbPZeNfrhqgUWRACwxSwkQpHUKtTJZbioC8,2043
torch/include/caffe2/sgd/wngrad_op.h,sha256=aohfjJ02Hg5l0xDua5wRDv4xGhazkOpZYfDJdc6Wgpk,7520
torch/include/caffe2/sgd/yellowfin_op.h,sha256=llBNZaRj9oNsgqkuZPnJQqeJCBZxoNd8oNHvPginOIc,10605
torch/include/caffe2/transforms/common_subexpression_elimination.h,sha256=5y0nKMV5n0VGZd5pp9NXbUl-JVnMeUWBpTzPa6mRRtY,1653
torch/include/caffe2/transforms/conv_to_nnpack_transform.h,sha256=ZgRxoSF678cxWt7CfMhOuP7XmN_ptSpKPinud9pq3Ak,704
torch/include/caffe2/transforms/pattern_net_transform.h,sha256=CGY9eCtVKvp4DLXH5FhjU5Qmh-bETM4peOK9sZY_kJY,4528
torch/include/caffe2/transforms/single_op_transform.h,sha256=wT14J3TG0IwOIclE1NiOyAlNJeB_jgdbl2v-iHOBGZI,1059
torch/include/caffe2/utils/bench_utils.h,sha256=eiG266xhGppNHEZU-vwcQ-Tiso9qwe_ZP3bk4m6hpSk,851
torch/include/caffe2/utils/cast.h,sha256=DbgHX4P4PtLujXgvXFKJkKjVB4sqtNiYjbnJEfhuGWU,1159
torch/include/caffe2/utils/cblas.h,sha256=4g9TLWqL3z-OFNKfCFR5-JtULgCPL-v1Kzw6EyuVrRk,34789
torch/include/caffe2/utils/conversions.h,sha256=husr63GEJOqPE6RFEu2PQpDButGYlwkWOnqQrN0nuIU,919
torch/include/caffe2/utils/cpu_neon.h,sha256=3QS3N47uVGre_ZqI5Gp1sd2vxsI4wxQ2EciDyXltB7E,1631
torch/include/caffe2/utils/cpuid.h,sha256=hbCLwCjtymwtB-lX49AbKPq4DCQIh1oMGYeOyNAQ160,2611
torch/include/caffe2/utils/eigen_utils.h,sha256=GthgMi8FvfZtm8zOW8Oyf79Isja1z9ecfTkBglSym7E,6228
torch/include/caffe2/utils/filler.h,sha256=WNlDHCRPmiZRJxfx_id1k6DsqyvtSuWkHR0tJHF6CaU,4051
torch/include/caffe2/utils/fixed_divisor.h,sha256=Emw31XsCNABMBYeBUA9_pnHc0OSufr6GMhhapH1SxFY,3714
torch/include/caffe2/utils/map_utils.h,sha256=y_S-VrjsmebspX3s81VjOGB5DRjVm5wAQ6ZZMpZxSgY,654
torch/include/caffe2/utils/math-detail.h,sha256=bpE2Ax-JEXvqZL5eiWcpmdHO-Ux5iD1Gw_XEfLMy6wA,2006
torch/include/caffe2/utils/math.h,sha256=fCtj6-qEnTpgzfXFhBZnDgTc_1FLqc6-Ow6pKXNN-pw,15706
torch/include/caffe2/utils/murmur_hash3.h,sha256=qz9UEWEWiMSD_PaBkyVF3V3JPaOkRGGOkpih_7dj9Vo,943
torch/include/caffe2/utils/proto_convert.h,sha256=qs48g_5pMmpTRALHuJ-ljF5YwnwGChSDYM1HtrVkC5Y,274
torch/include/caffe2/utils/proto_utils.h,sha256=a41H9Dj6-iW_kKk4QFI0XZTassW2TTR5O0Sgmcliitw,12569
torch/include/caffe2/utils/proto_wrap.h,sha256=XwuGVpc_yC64ucAJ9LuWGj5or7y8862bGssQVQlZZ_M,395
torch/include/caffe2/utils/signal_handler.h,sha256=wF6qJSRaXOu5owmvynBKRPGzBu1e9xTMs3ipUp6w7r8,1199
torch/include/caffe2/utils/simple_queue.h,sha256=8grcGXjO7SeEAkNohknWUaJQCHEqfE_cu4ACcv45W6U,2684
torch/include/caffe2/utils/smart_tensor_printer.h,sha256=Qv8lQvBdGo1Bm-Sj0309BokpLWwdz5agofxef-Zc3YY,1453
torch/include/caffe2/utils/string_utils.h,sha256=2Du_HXfsm4D8LKzf1yvG35VTLLYiWYA021KfAHrtP2A,1513
torch/include/caffe2/utils/zmq_helper.h,sha256=UfDx2Zzxdgs0jfBu5Mu8IiubYTnexPe7PU99sT76Y4Y,3156
torch/include/caffe2/video/optical_flow.h,sha256=rfOMJmXuhX6NCftPFFDicVgy8zX_oAKy7QIjyC6AgRQ,1356
torch/include/caffe2/video/video_decoder.h,sha256=RhVHSYz7fG0NteyJXJxSCH6PaA20GOTvhGsjcpQ00dM,11554
torch/include/caffe2/video/video_input_op.h,sha256=_cEUoqSuL4kqn4ZePe3nlORCaF4YGTcM7j8cGKwM7ps,31989
torch/include/caffe2/video/video_io.h,sha256=ikBSQHEMjXJS4nSUVRy3l_bYRrLAsMFQF17au9EP9Y8,2291
torch/include/pybind11/attr.h,sha256=0hNcx0-9tyOnPi_ma_M_8r1q_1dWl4fJiHAPhcHwTVs,19523
torch/include/pybind11/buffer_info.h,sha256=vIsKJyPdWnorpVb6eZZa3wLTxaM58uwhIHzk40jNgk4,4434
torch/include/pybind11/cast.h,sha256=kyDtCYSv1ng45gtbZ2cZl1-sClSJSwq3Y8ZeTlQXUco,91611
torch/include/pybind11/chrono.h,sha256=YxKJNryTmRj0IbG2rqSM-xdg_hmNEQKwWLU8y-J8IKs,6778
torch/include/pybind11/common.h,sha256=9flrAhYFcDioFXEMfL-sYGZYQmFsUdycR1GSnVVKKA0,122
torch/include/pybind11/complex.h,sha256=rHOHTC_caCuqK2rDQvHNxP94hIOVPiSiPxZllxzmWK4,2066
torch/include/pybind11/detail/class.h,sha256=RKaZ6KtdO8N4faUj_gXAcAtGLLDDVkCWjkmmKfEMj_s,25388
torch/include/pybind11/detail/common.h,sha256=Tfll1E_XYm1VrRStaOABnvsCdHrj_O6OFJtI1gAxZEM,37875
torch/include/pybind11/detail/descr.h,sha256=S1BmxBaKxEiJ3wzwT-OJBz_DPDWfJr4W3lU-B3PcJhI,3666
torch/include/pybind11/detail/init.h,sha256=JTxw_Xfd5I0M3nS1NZru3s_Z9oEpl-kKNJTrYsrTRiU,16657
torch/include/pybind11/detail/internals.h,sha256=G26zocTJmazQDv0Fbglp9aLGJkEu9Nk0CWXrkCPA9aQ,13925
torch/include/pybind11/detail/typeid.h,sha256=NjFzRxFNyS4T2U66Ycog7sRAuL44qz0O3HRybyG2zzs,1482
torch/include/pybind11/eigen.h,sha256=DPhh3bRgwc0L-2Cr75I9qN_a2etedZGeybjUojbZ4ng,29650
torch/include/pybind11/embed.h,sha256=1uM2qUaFFhGNpEsTi7jUx6zR2ieXjXYQCWUaINgF6Zw,7931
torch/include/pybind11/eval.h,sha256=8noBRys1kLp9YHvp60_flzakoBu8M8I18wxACexWxJo,3982
torch/include/pybind11/functional.h,sha256=zyl45Yqxkh4_eqlWE6L0x13W8WWOlV1XI0iQH5JyHN0,3027
torch/include/pybind11/iostream.h,sha256=YXbcP3ZvrjLUxc4ih9_nZKZCw3Qk_ICrqfrYOa060TE,5595
torch/include/pybind11/numpy.h,sha256=eDdqZmh9NS-yoHNE60tHnWekknxaAH2Aa-8Wlsiqiz8,67547
torch/include/pybind11/operators.h,sha256=1yBm_3OHVKiqDQvSmNIo1NAWIR7abimd8rY_PK1Fx7Q,8917
torch/include/pybind11/options.h,sha256=jwvtOSOh7VnC_rnFKPlkWAlgLZv8bgJ5bvdgEGFZX30,2096
torch/include/pybind11/pybind11.h,sha256=pj8SbG-BtIP0Moz58TGVTeau_J6D8BKYvgtEzqTILM4,95661
torch/include/pybind11/pytypes.h,sha256=PjR2jk81NHqWxq69m1zaNncH6Wx63B4F_TZrYYQXgWI,58136
torch/include/pybind11/stl.h,sha256=xokCyfdJpgyPj9FhEoPw7HjXg1mgzLf-zCF2fGZ1v8E,14415
torch/include/pybind11/stl_bind.h,sha256=xsC9Uy2gW2M4KmCrgQWd4WoQk-qayhrqxD0YcJ4bDtc,22206
torch/include/torch/csrc/CudaIPCTypes.h,sha256=RhCNlOvZ3aUSqVhOcH7nNlHpKHPPErssqKoLje2HxOg,3570
torch/include/torch/csrc/DataLoader.h,sha256=XTVHvPZ7PMrSKaskFE58LIv_6tszQujQPUuBkpvlI0E,99
torch/include/torch/csrc/Device.h,sha256=fGk7oGQ6DUx7cUWlfVymTcTQlEU5U6OCnkfZ_rLG0so,502
torch/include/torch/csrc/Dtype.h,sha256=uPSp3BnLx_hv-o3nEre-5dS-JKRJflDomT5scYQhymk,537
torch/include/torch/csrc/DynamicTypes.h,sha256=ZRPX9hxvhHmjn0ZyAeE1G--WU86RtlhepIxDVKzwZkk,1086
torch/include/torch/csrc/Exceptions.h,sha256=FZzIzRZCkv2tBnRWsdZgGPp4V2lSElz2NCMTn8s-wfo,4815
torch/include/torch/csrc/Generator.h,sha256=7QpChAhXPdR_5HLZyyaW3xa_JrCq-J3FdbIrp3NFePw,858
torch/include/torch/csrc/Layout.h,sha256=NI1v4GKM68JAlwA89SSxcwBcKHnM1u4teqPfRm6ze_k,486
torch/include/torch/csrc/Module.h,sha256=WCr2ygxwJpO8KRm5G_b9ZgAk49PMilWHOXAhnkoi1WI,152
torch/include/torch/csrc/PtrWrapper.h,sha256=NKIAtKIjolE7yJa2U8HoBGx3yxfUmnYvAqv3bbdeSCs,386
torch/include/torch/csrc/PythonTypes.h,sha256=8w-L310uezPq0e_TQjRsSYzzPRMpSCABqOnRNx0fMhA,316
torch/include/torch/csrc/Size.h,sha256=Amvt7bQ4vnkbAz580dbOhbeNSKRLeHS6ttqKp7HoEqs,410
torch/include/torch/csrc/Storage.h,sha256=20KnE1KsWV0UGCYv7Gi5bmLqXt1JcUbQjPHXQE8ff4c,1897
torch/include/torch/csrc/StorageDefs.h,sha256=Ajoi6IHBE-UE0AFCdmvnIngWxboeIbqPK_S6h3nxE78,78
torch/include/torch/csrc/THP.h,sha256=j4wFvVXUEcxc8O3CuUbeJD4dRhaKLd8FAiV413afybI,1401
torch/include/torch/csrc/THP_export.h,sha256=oMObDqJo6oPIrog0VTmH_ATggvh3oD9fBVXHIaCDf1U,463
torch/include/torch/csrc/TypeInfo.h,sha256=bh8dxu2YY_Jgo2rKkfxINLHBPuhic8iSh3Olq12ncVE,524
torch/include/torch/csrc/Types.h,sha256=YkuuYYJJffmwaAxZch_0ElYhk1HZqw8hHBrv6G4PXUg,311
torch/include/torch/csrc/WindowsTorchApiMacro.h,sha256=RsJBc8a5-TeHXBPcMRvsq9T1T8cHG_AxZjhZG9Xe35E,412
torch/include/torch/csrc/api/include/torch/all.h,sha256=v9CW9qIYPyeDB3QpdsAxIptIrGbx7OpbfDAhxyK2_4o,221
torch/include/torch/csrc/api/include/torch/arg.h,sha256=8_azm83eh6t8r6MtnV5UTEgrzs2MmzfGcUA2Qo71iNs,880
torch/include/torch/csrc/api/include/torch/cuda.h,sha256=31u0pPLiPkuEiAnuH8wQFhPGqd440ASoWcxFztWsMmc,449
torch/include/torch/csrc/api/include/torch/data.h,sha256=TmzUmQl57c6UVAccNX_0kpDOh27mFHVoHp0psn4_tpI,315
torch/include/torch/csrc/api/include/torch/data/dataloader.h,sha256=I2em63lOlw37pTWozjJnxZ-siJO3DjPJKnY6ZMh151Y,2065
torch/include/torch/csrc/api/include/torch/data/dataloader/base.h,sha256=2kKlhZlJvndhXA15fCa9uU7ojuGf4d8tFt7WcEVeHi4,8655
torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h,sha256=k28LEKXRl2nvazpk6XhjSD1fBHBXOvcUyxJbXf_WvQo,2405
torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h,sha256=Ay_I8FtSRigERi4N-eALF7yemNsf2Bv393erGkMyEJ4,2810
torch/include/torch/csrc/api/include/torch/data/dataloader_options.h,sha256=pkq3cWNvExGjkCk3Sk6CV02D3KWjyB0tJ5rtEI_EVp4,2266
torch/include/torch/csrc/api/include/torch/data/datasets.h,sha256=wUJmQwIgXsajJ4X2znwBM4ssPGsK566fI1QjiAoItY8,298
torch/include/torch/csrc/api/include/torch/data/datasets/base.h,sha256=kfwm6tRZ1-1mUYUrSoMSahp8Ntcf-1w71ymcFr96h7w,3357
torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h,sha256=xi09FhTrnDWNfCZWVlm4EoOTtkJaYBUc-L8PJ24AVB0,16198
torch/include/torch/csrc/api/include/torch/data/datasets/map.h,sha256=A3T8MirIFsBoDVn8TvsZpob2FREw_MTui7FiYkXd30s,4219
torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h,sha256=dtROtpQDHXR8FNTVJjfJ6LBd2FJoMGR9hcxmoUz3kW4,1288
torch/include/torch/csrc/api/include/torch/data/datasets/shared.h,sha256=GlRbi6nPGjKGuFAURZhTlOM-7Tg43TWnzl-7nXmeN_U,2723
torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h,sha256=-Emap4tUjgNk3HKrRBbZzAC23p85H0U_bDS9NV4XpfA,1418
torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h,sha256=1M0bzSTIS6n3RsrciA1PKOqzCieWdL5irAemszUkUsc,992
torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h,sha256=C6dj2ruAbJVwlUbENydxlIsU9ZXtUnXagiioQn0fDAI,2713
torch/include/torch/csrc/api/include/torch/data/detail/queue.h,sha256=47cBS2y80A4UhQPD9-UaWrFclh_E8b8RzfKuixCqdgE,2570
torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h,sha256=ks_Uu_R_AyWpDzgVk_kWhIEqlScp1eJ0tHCyLOVGS2I,4582
torch/include/torch/csrc/api/include/torch/data/example.h,sha256=C_3NZ-Ba5OsTR-x25uM5RKlW0g5qZp_zhwSkVSn2aPc,1363
torch/include/torch/csrc/api/include/torch/data/iterator.h,sha256=NEBC0JmzSjkFu-1f5m6PClVVyCJ-AcpHQN14n8ocJMI,5455
torch/include/torch/csrc/api/include/torch/data/samplers.h,sha256=vvBX2qsD_kusBAOouG-B77963lUnYQRShVwo1p8qBT4,327
torch/include/torch/csrc/api/include/torch/data/samplers/base.h,sha256=wIPM8eiYGRlVpMfMy2Vt0giEGGZc8cGzY9KiC-RFvw8,1291
torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h,sha256=bLoc8o2drqp_EewstLbjbz1DSqoQHLarEvGi4taWSMI,432
torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h,sha256=w55hOSoXy2NWu6G-MD0pMJNbiBUeoRok2z0-xYcn_8c,3873
torch/include/torch/csrc/api/include/torch/data/samplers/random.h,sha256=_9WAZYdODJUqVlhT0ZgbrrnyRzPsUml_HVDRBbUBbFc,1601
torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h,sha256=xN3ILqxOIw4Yw3VyfcbxcFSBBf6eTAez_2k_zyf_kP0,1318
torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h,sha256=vC8NN3O9fmLn5U_2Y42WTrCmwAv_QlxR9Q3fr51j8Bw,735
torch/include/torch/csrc/api/include/torch/data/samplers/stream.h,sha256=GdHvs3AyvgAHt1bi1vk7CL0hSe_Czf76eqXTpNVCoHg,2110
torch/include/torch/csrc/api/include/torch/data/transforms.h,sha256=YV_eW7I4UJahbvu9a4ZH6__0ZAujBo-AE4OKP3l-FLI,229
torch/include/torch/csrc/api/include/torch/data/transforms/base.h,sha256=14X5KB_doShEN3zU9Td3wFoR9QhkZnTtucrkdd8JUrc,1682
torch/include/torch/csrc/api/include/torch/data/transforms/collate.h,sha256=OPQM671y71Kq8TmoCnVRODk52lcHHhoVzBnHOkbjBnU,1148
torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h,sha256=cmj9SxLDSkIQuVJtaIgD9fL0u916nzB-Kjm_jcTjMyg,1765
torch/include/torch/csrc/api/include/torch/data/transforms/stack.h,sha256=67rdM4w-xnkRJYPOLBHn6KdX5BKm5_e_vWNSNPNgglY,1473
torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h,sha256=vO63CS3AciYKnjxnEBitI6h3iL7THBmxsd6o3a9PUdw,2541
torch/include/torch/csrc/api/include/torch/data/worker_exception.h,sha256=iDnY6_EX8R9zqXYsykmcKcd0JI_6DE1KyLWybBI6_gg,1126
torch/include/torch/csrc/api/include/torch/detail/static.h,sha256=U00JqMfC-D1Qj4x0X_nkNHFIslfDX5b-o2Fsms0YBGg,2265
torch/include/torch/csrc/api/include/torch/expanding_array.h,sha256=gxzAK4uAydojlnGnrJKkZ55AW4-0JJsCDJLLmE59imU,3026
torch/include/torch/csrc/api/include/torch/jit.h,sha256=DApbmHXhHP3qVhhqqH_iYrEUazTqOD1U5xYzuD_WYkU,1049
torch/include/torch/csrc/api/include/torch/nn.h,sha256=pWYLpet08MmReJL76WO3yulzK9hRfWUmuWyspzYgYgc,167
torch/include/torch/csrc/api/include/torch/nn/cloneable.h,sha256=Dp9iRXTIxwO1TDX60bqPzYeWV896JWgpZGUxO4sKZJY,3750
torch/include/torch/csrc/api/include/torch/nn/init.h,sha256=WBbdGdTsODQiM9ef4E8tTasnQvQ4FRPwHvo1Zl4DDA0,4697
torch/include/torch/csrc/api/include/torch/nn/module.h,sha256=RwNnThtFDoT-qm2icRwWXrekhw3k_2XGqYUc9u78SYc,23404
torch/include/torch/csrc/api/include/torch/nn/modules.h,sha256=rgmPDRztzgoz4Cq4DNIjO6bN4BIW2XR6loQTdK1pDwc,365
torch/include/torch/csrc/api/include/torch/nn/modules/any.h,sha256=IqiScDHmmkH1FyAAurmfYL2hFnPH8Ws9m5eo7TkN1hc,20860
torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h,sha256=4dbQObtFoX59Dcrm4qqI1JJCwIMjsfCf4RjmThBH__0,3777
torch/include/torch/csrc/api/include/torch/nn/modules/conv.h,sha256=ykh2yNyqwiA4TEZF_JujgL9to5dW-MROAI1MTMVAz7Y,5896
torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h,sha256=IRSWBo6TpaEAzuEjr43vE1BzoZeQqohVSKvi6MtDOm0,3048
torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h,sha256=0lz7ug1VujEbCTsYKFaXJoz3ls1uKB8nTtYc_XHUVzk,1697
torch/include/torch/csrc/api/include/torch/nn/modules/functional.h,sha256=OoncvpfORQqAjyatjPXI0VJNZI801fBA9OJyMxrM0z4,3511
torch/include/torch/csrc/api/include/torch/nn/modules/linear.h,sha256=yJktkOK7J9gDJUBsVUNiSzZxx63s7j8dPjNuNKgu010,1796
torch/include/torch/csrc/api/include/torch/nn/modules/named_any.h,sha256=M46EBj6EkIP9V6DOTe_YWdYiz6djI9tm0e6sGYKT2Mc,4712
torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h,sha256=ZEOaDhoPvikQLn7JnRCxtfrwT1M53gVox6cUvc8-ydI,9871
torch/include/torch/csrc/api/include/torch/nn/modules/sequential.h,sha256=YGiAuZX4qHdP-V6yAIFo4NMuM7FzG0ecQ4ujzkOlHlw,13192
torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h,sha256=Hf1F3xJPem1leGEazT7tuzxTKUWk8N2u16OxhGEVKuw,6329
torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h,sha256=-cdbSxZyTt0OrhhYje2McHGujdsgMW9K5JWz-MPlUpc,3270
torch/include/torch/csrc/api/include/torch/nn/pimpl.h,sha256=cZdbjwu-aFbn8jxND20Vv8ZHWfXTWzcm8AiYkz2ZcbA,6850
torch/include/torch/csrc/api/include/torch/optim.h,sha256=oQ7acgxcO-WxkIRDoN4EFp4hTKSYKiWow6Oql7Hm7F8,213
torch/include/torch/csrc/api/include/torch/optim/adagrad.h,sha256=igo28gx465LeztZVsuwRhUnvc6Nt_v4hZ7tIhi_vuiI,1388
torch/include/torch/csrc/api/include/torch/optim/adam.h,sha256=wgOnfUvQ8DkJ7MHPH73GBXly0UnHMRFgSVhRfyS765k,1697
torch/include/torch/csrc/api/include/torch/optim/lbfgs.h,sha256=FnJqHx2aQgG50elsMKiYJq-yWTycTTEs35HnSHiFG7I,2259
torch/include/torch/csrc/api/include/torch/optim/optimizer.h,sha256=dUQzbb_zM2-vIPtSTaYnOhH774PnQUYcqZ9UiqENL40,4082
torch/include/torch/csrc/api/include/torch/optim/rmsprop.h,sha256=DtAfIDSPbj0gwTjQnHZ1Zspyk_4pXojAiV6T-1gyAuk,1687
torch/include/torch/csrc/api/include/torch/optim/serialize.h,sha256=_WREjD6wy_svsN-4erIFXo96fYyU0itYmY23Efboj-c,1963
torch/include/torch/csrc/api/include/torch/optim/sgd.h,sha256=5DIf7pTyNeiDqxYMz9bwQkVHFzsEM_J0KPgFk3MSyLk,1302
torch/include/torch/csrc/api/include/torch/ordered_dict.h,sha256=YlnCmuwb5S6XJsMnilUUQljXwAjyZ9m_JcoSCQ6X8oM,15439
torch/include/torch/csrc/api/include/torch/python.h,sha256=H6JziFMh8_qavUM_yCyzd2xh_tgS_fgOUlqBmgJBYl0,10052
torch/include/torch/csrc/api/include/torch/serialize.h,sha256=GMCBGaG7CnfyEgzPgJKTR2jXxgpfIFmDuK7TMsbdk8Y,5019
torch/include/torch/csrc/api/include/torch/serialize/archive.h,sha256=eFWJ0rMIETBxQ-RzrbeJPinxHqQvw4HgItM4yTKstEo,105
torch/include/torch/csrc/api/include/torch/serialize/input-archive.h,sha256=gNOUhlDhqJJF3qzdXmNrf-DMcRX4JNVb7ZKDwmvCmsY,3206
torch/include/torch/csrc/api/include/torch/serialize/output-archive.h,sha256=EyB7gHs2udMpOplsWxfWNknwKv92JzzVggojg7ERdiA,1871
torch/include/torch/csrc/api/include/torch/serialize/tensor.h,sha256=8THFm0NshLaq3TF5ft_O0-auH_b-w3zYAEQbqRdglDI,452
torch/include/torch/csrc/api/include/torch/torch.h,sha256=NpJ3dKkB77N_PbkufLTZc9ZJZ0bfPxnfMoblznMV0LY,270
torch/include/torch/csrc/api/include/torch/types.h,sha256=cC85NOttXEX9N-gXOvgev9sltCewPidrnJoxBREo_mg,940
torch/include/torch/csrc/api/include/torch/utils.h,sha256=tQ7mLViC8BgWImNX0YqcpSBs0PsHlBlOiTatVDblP5E,466
torch/include/torch/csrc/autograd/VariableTypeUtils.h,sha256=juKW0ulpxFuN5nkI49XDuvyxYKqZDvgtuyFjbHW-JLM,6322
torch/include/torch/csrc/autograd/anomaly_mode.h,sha256=pmpq0eFAO54cOwQysMUa2ZCubjA2acTdlwWq40bu6f0,460
torch/include/torch/csrc/autograd/autograd.h,sha256=x_Dt_M0oyfuzHuY6T7sE89nzZbsDgFV_GrIGtuNgCzQ,387
torch/include/torch/csrc/autograd/edge.h,sha256=q817yUadRC6XDzVuWbjxFqYzFoDNymzqqSb4CiQ9O9Q,1705
torch/include/torch/csrc/autograd/engine.h,sha256=PAU4LhNoFVQKYgfxz60Rz0eoh6KPfcdGJfEI1pqmPMA,2491
torch/include/torch/csrc/autograd/function.h,sha256=ECbMinmo7MINMiu6EGLgSOTKe5-oAeIB2JbJxdixd4A,15229
torch/include/torch/csrc/autograd/function_hook.h,sha256=MAzPL7JpKoo0EzcrKg4CT2cFbbrDVKGKW21enZE4Xck,629
torch/include/torch/csrc/autograd/functions/accumulate_grad.h,sha256=RW9dQR9YEONDSJiRLF-k13L0biRQZkHhThEZ_BgpNPI,414
torch/include/torch/csrc/autograd/functions/basic_ops.h,sha256=_48kMhDTmzR9RCT_UFzU8QGjt_KNKTNAHy06PnlFfK0,1892
torch/include/torch/csrc/autograd/functions/comm.h,sha256=9HA5d5t3qGOtYKTRpL06yEgXpbZnxUltt_HK2XuQOLQ,1365
torch/include/torch/csrc/autograd/functions/pybind.h,sha256=aBdd9v9-HD9zK8918a55_kN5xILxUS99Z_SCMeQg6tA,982
torch/include/torch/csrc/autograd/functions/tensor.h,sha256=VIY_REOTamxfC1XH5tc0TUVa9eeWH9XsLhz6Z5t9IhM,1338
torch/include/torch/csrc/autograd/functions/utils.h,sha256=_-vTbNtLFBQaa1z889REd5Kkg894h8ZvYNotUm3Vq-g,2355
torch/include/torch/csrc/autograd/generated/Functions.h,sha256=vg6rkK2D8_uNi8Y1iGluCGQymh6oLjITPKf0MdgZves,173468
torch/include/torch/csrc/autograd/generated/VariableType.h,sha256=7Qa2wWJtN_xVEjgaTMt4WiCDjGRUzBdWhpD6Pupix7c,196347
torch/include/torch/csrc/autograd/generated/python_functions.h,sha256=r131Mk6Dnr2wIDspJZ25DZWhWJ-8rdG9WwxQ7mebifw,306
torch/include/torch/csrc/autograd/generated/python_nn_functions.h,sha256=VyiW_tMB3pHRpRnUcFpVmOvflx_GR78wAZgfIavvxLI,226
torch/include/torch/csrc/autograd/generated/python_nn_functions_dispatch.h,sha256=267EWfZUYS2i3v75szIS3709P2VSLXfMDFQ4n76xVlA,24569
torch/include/torch/csrc/autograd/generated/python_torch_functions_dispatch.h,sha256=3aTNmxHN6jDJKkaSRxVNSI1zK3-oXfmXJgnpgsa71Po,124871
torch/include/torch/csrc/autograd/generated/python_variable_methods_dispatch.h,sha256=aiygozGIh1xxRc9ydcHP_u1NmFVoY7C68lov1u1hzYs,57181
torch/include/torch/csrc/autograd/generated/variable_factories.h,sha256=z4IMq-7oxo4T_CgwVq676MMR1iQFOByeWi1OpcuCjqk,74604
torch/include/torch/csrc/autograd/grad_mode.h,sha256=XrI5FmmO3qgJqcbpfhfczWGOIAujLimWvHPAh9fxCLo,599
torch/include/torch/csrc/autograd/input_buffer.h,sha256=lcNIUhIiZz4D1xsvBZOlkKRerVpiKafbeQEDnZ7Xu-g,1108
torch/include/torch/csrc/autograd/input_metadata.h,sha256=gjsRShHrGL5GZFHSDFMm81IRlZiklNLmsg5K22H6jhI,1142
torch/include/torch/csrc/autograd/profiler.h,sha256=leKpclTI3BTE1yrGWob7mwor53YNyC7a9NBwoytm-1Q,6713
torch/include/torch/csrc/autograd/python_anomaly_mode.h,sha256=pvFFNKkQ3EXWIwXxC8H5KG4S_KdoC725DgJlu-KlUBY,612
torch/include/torch/csrc/autograd/python_cpp_function.h,sha256=FAGiJTDY9URF8W8g1rNciSw7hmL8rw64u_OTI5NQIK0,2544
torch/include/torch/csrc/autograd/python_engine.h,sha256=_7Nd0aI9Fg0a-iM4OmTFN-3Cdt_YcnTojBZr9FDRZrI,774
torch/include/torch/csrc/autograd/python_function.h,sha256=Mj5Mr4PwWC--t-OW9z-jNyqf7txr3-b2O60fAoYh0QE,3371
torch/include/torch/csrc/autograd/python_hook.h,sha256=qM7Dr4klAPNvaTT9NSE0NAf04PaQ4CKvOc6rUdSDrBI,724
torch/include/torch/csrc/autograd/python_legacy_variable.h,sha256=EtkCirTvNefY6t6bIakM4JD_57hSJ1xfmKdLRMYOBSk,311
torch/include/torch/csrc/autograd/python_variable.h,sha256=qr2SifiZBK07c4SpH2uMFRVVkQhIXlqI38UfPbCUGxY,1100
torch/include/torch/csrc/autograd/python_variable_indexing.h,sha256=ZMYiazNkEIC7nDfL-2lDuBDNTPMSFTIT97hyWeNI2_Y,324
torch/include/torch/csrc/autograd/record_function.h,sha256=HITpT-zZ942uUkJolYqfBl0Dgntn8fBtiP9POJbEgw0,3057
torch/include/torch/csrc/autograd/saved_variable.h,sha256=fQslJCu6yU8NV6RyU4YayzdsLs2RJqt4xRlZdZizhpE,1711
torch/include/torch/csrc/autograd/symbolic.h,sha256=ZH98FUKKcBPb1UMRuPpl8xea5XldCWZwYIRMGzyqVKY,344
torch/include/torch/csrc/autograd/type_and_shape.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/include/torch/csrc/autograd/utils/python_arg_parsing.h,sha256=ZksQI1UuWHcZN54L6rFtO2V1sk2EPr24hfKigdxfib8,1627
torch/include/torch/csrc/autograd/utils/python_error_messages.h,sha256=ABZPvNNaI4el3yDeHoFk3qNTtwMxSlNZlPJW_G_Wt8Y,543
torch/include/torch/csrc/autograd/utils/wrap_outputs.h,sha256=O9Banfjt0wm5HKTf8P0N7cH2rtwzb4xrK4gKQP2F0D4,5170
torch/include/torch/csrc/autograd/variable.h,sha256=7COQXr9bAwu6YSuy1nhujg752wMyg7hwYxjP7Zpcra8,32366
torch/include/torch/csrc/byte_order.h,sha256=fdyuLEUfSAhJ_xQgCUtN4nlLzmm8ZYmjJgHqdWJQ4c8,1373
torch/include/torch/csrc/copy_utils.h,sha256=-at4Nb9C76t7mtOJADSkl79AjN4ygxicpGGGaoe5lnI,2565
torch/include/torch/csrc/cuda/Event.h,sha256=lCG6A3Vp5QFw_zCZ40KHHLGjnBGK2Z9szjU9eMAcGtE,449
torch/include/torch/csrc/cuda/Module.h,sha256=4fp11OR1neFoaHDg8IUNfv12STmj2WfS2kjDYEols2o,543
torch/include/torch/csrc/cuda/Storage.h,sha256=0bVdb4_Joc4sck0i3EOMyxTFmWvbzvOWcG8-AU7VkcU,1896
torch/include/torch/csrc/cuda/Stream.h,sha256=3F8fEzmiVLpc6inYVUREwC45zxs3J7h00ZFA6Aq50x4,479
torch/include/torch/csrc/cuda/THCP.h,sha256=AT5sNA3qskFxV_Bi6aegspx5ZJOrZ5pMR_oXRWG6Rh0,465
torch/include/torch/csrc/cuda/comm.h,sha256=3I7yWyCX6FOsmGV62GoTwhPH3Cq86PNpce9F6N2RV8Y,1031
torch/include/torch/csrc/cuda/device_set.h,sha256=B4D5P501D63fCOvW2PJWg_OBMR83qntYhQmKoyqK0Z8,162
torch/include/torch/csrc/cuda/nccl.h,sha256=qJ7w5TgFGalgjnekV76fHNeLBODiCtosnAdOWJaQg2Q,1931
torch/include/torch/csrc/cuda/override_macros.h,sha256=gx0scwo8DfNg7nFW6fXBmlpNPTmk3-PHPmVPulHcBoc,1941
torch/include/torch/csrc/cuda/python_comm.h,sha256=QBbZTWAuk94UOAQJ86aH0tNwuocjjdLNFetob03Nba8,121
torch/include/torch/csrc/cuda/python_nccl.h,sha256=FZfLaJ86AQg8RUTts2vNzqmR_JJJe71AgkYiORjvSeo,628
torch/include/torch/csrc/cuda/restore_macros.h,sha256=ggPiMH00qsNxZsWCFkiv1Rym9DkJbkRDQ8anrfEgQlg,863
torch/include/torch/csrc/cuda/serialization.h,sha256=PsJBnph9ylOvJLVHopWm7K4i-03avM-13AMXrakDwMo,328
torch/include/torch/csrc/cuda/undef_macros.h,sha256=dMOJjclBRRgSqM7MIgO6iC-S6LcAJVixgk5cOGMOv-4,984
torch/include/torch/csrc/cuda/utils.h,sha256=9BEI-z42U5ygw9iByTZRem_6GpZ47Aeziba8tXaYRS0,700
torch/include/torch/csrc/jit/alias_info.h,sha256=VG1yw68lsVbYInM572_YNvIfZkJfiknKM0KFLCOy5HY,144
torch/include/torch/csrc/jit/argument_spec.h,sha256=pjBQ9jZ6YPP0UPvoOJd-CRn50RTa3dUyZB8fc4lUHYY,13789
torch/include/torch/csrc/jit/attributes.h,sha256=FzHhHY2hqB7XpUI5Ny5FyrU4BNEUAx8gqXX5x1G_Fog,4233
torch/include/torch/csrc/jit/autodiff.h,sha256=TkeAKTLV2ElrIhpK2fFaPp-zwah7g3-RTdv1JdSYYZI,4082
torch/include/torch/csrc/jit/code_template.h,sha256=DyzlQ4TQcm3hYrrvCQbQ1BsFZIjv_L-rftOwC0MRTTQ,6958
torch/include/torch/csrc/jit/constants.h,sha256=vkEu6ZlRVCTQ9g8Qeb8W8qOIzuHp_ksolVH-Jtsd8qk,1852
torch/include/torch/csrc/jit/custom_operator.h,sha256=EMM1m9dFiH7VM4KfoLEgsJVGgrwop0Exw0tyeNuxs-E,9659
torch/include/torch/csrc/jit/dynamic_dag.h,sha256=aUnmlKlmmeh7xbX4bUZFuEyjZLUoTR7MsEqe25qh5sg,19581
torch/include/torch/csrc/jit/export.h,sha256=9umPVwnChxrOmIBCByivKCrfRJPzam9_Ypo6x5L6Www,1926
torch/include/torch/csrc/jit/graph_executor.h,sha256=E5SsYmiVu1uPjazcZ7bo-YJ_pqdu6FJg-iuCntCK5zY,2104
torch/include/torch/csrc/jit/graph_node_list.h,sha256=Rg8GouIrXS211tiJOCxP18DEEQWzR9eWbNizkWYkN1E,6048
torch/include/torch/csrc/jit/hooks_for_testing.h,sha256=HgnVu5FjLV6nt_IRa32OB0ERaH8QKLuMEIAv2TmxmYA,577
torch/include/torch/csrc/jit/import.h,sha256=4a_k6jClCnRUxbf6iVB7DK8VQuKSSuFvi1rCxJT1ixY,2452
torch/include/torch/csrc/jit/import_export_helpers.h,sha256=tgOzogc_CaN22_ZsRM6BrHIH2pc0-kwFSmDDjn6_qak,741
torch/include/torch/csrc/jit/import_source.h,sha256=Piajvt4Je59FAHL-9biA_p78ntMxdJH75HPMiy6yqqg,1753
torch/include/torch/csrc/jit/init.h,sha256=oVsqfwWmtuzIkqVdF4gUDI8CmO-7m84DmP-EZm2LeEg,122
torch/include/torch/csrc/jit/interned_strings_class.h,sha256=PGjb2wY2j7zzu9z5wi4_Y4oqxXyG5LFmTPnDwV8j9LU,47
torch/include/torch/csrc/jit/interpreter.h,sha256=kn3E4HuzJn4ArTm3iIuLHPjQrn34wCqirMU2w80QvJM,2379
torch/include/torch/csrc/jit/ir.h,sha256=VSDZXsOdzMeSQvjFTv0dmd_05XOe2DTY4hup1MUHZWk,39805
torch/include/torch/csrc/jit/ir_views.h,sha256=TBeQh3fK24nLJVpNyxUbAyq96zEK8VQ4MWSsO0GbtN0,1959
torch/include/torch/csrc/jit/irparser.h,sha256=as7JFlbZG7iBwiyAv5TjtDYtpMsD1u4DMmOA8XmcypY,825
torch/include/torch/csrc/jit/named_value.h,sha256=zV7JBywJoLcgdwYxm-WKhdM4s3B9pleSKIFxDSO0qvY,2278
torch/include/torch/csrc/jit/netdef_converter.h,sha256=N1DagcO4_oNApJFlehz0vK4mgADVOMc91hk_trmE75w,1735
torch/include/torch/csrc/jit/node_hashing.h,sha256=KcA2xT0xvOi4vy8oGLRufLPRLR_jqTTy0EMbjdd2Q88,284
torch/include/torch/csrc/jit/operator.h,sha256=cPVMcykysqEeaUEbZokaSxNcqqQRyBN0_yi9NjOvbQs,6094
torch/include/torch/csrc/jit/pass_manager.h,sha256=JBbmmThYqbRd3JS0NmrSZ5rbYnWRZZutvjKL55m3GSE,798
torch/include/torch/csrc/jit/passes/alias_analysis.h,sha256=jzGh_mBJIDCNzgUpHI-1bMuivoa9EpbN5fQqwksiRwM,9893
torch/include/torch/csrc/jit/passes/batch_mm.h,sha256=qwhPQwwzcAMOAY7YY5NeDEtrLYj0KU8F4cSQUHa_38I,171
torch/include/torch/csrc/jit/passes/canonicalize.h,sha256=Nth97tKyI5wKACAFjhD2R3j5M-2YJF63La6rwQIf3u4,242
torch/include/torch/csrc/jit/passes/canonicalize_ops.h,sha256=vW_SQeyYvHzKyaFRQqN8TOL2bRm3GRyAesdFGbTIrNE,185
torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h,sha256=Q3Ovf2o61vWvmzZbe51NvtAr-uiq-BqaPnVoQKLNvoo,192
torch/include/torch/csrc/jit/passes/constant_pooling.h,sha256=iHqPihkmS1uG7tDEVmP6lBD1y8vLloMT9tiXvQW8KnM,185
torch/include/torch/csrc/jit/passes/constant_propagation.h,sha256=YDimKfwRvjNRaq4NYBIRn3jRrXI3ntOhQNRIJUMeM-g,183
torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h,sha256=Q-u7IF288zWyw-zQZgaE1CEnv89QUzMWrR8OJb60go0,568
torch/include/torch/csrc/jit/passes/dead_code_elimination.h,sha256=jvfAD0IVozM4WdVDpxZorNwGqL0n3F-qmmFpfGYt-xU,806
torch/include/torch/csrc/jit/passes/erase_fork_wait.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/include/torch/csrc/jit/passes/erase_number_types.h,sha256=NLgDmeMFLVHSQiE2Ul_O2nDa4KO91LMsmKHsQ1lJH2Y,781
torch/include/torch/csrc/jit/passes/graph_fuser.h,sha256=Ea_ubyvrVpDlfq8GWuqcnmTqTl4oT-9ve-tjri5Qm3k,944
torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h,sha256=HtW6aYqwkrMuXL4C6yM1-C0J9IF7D9py6sz7aEQAvbI,220
torch/include/torch/csrc/jit/passes/inline_fork_wait.h,sha256=Iran5IqSvbcHBzS61eYlMyj2xziwVga_L7--nA17wlI,562
torch/include/torch/csrc/jit/passes/inplace_check.h,sha256=DkUfvwzQz0pTAzbgHRbS0umiolFSYRDuyxTFODpHh2A,176
torch/include/torch/csrc/jit/passes/loop_unrolling.h,sha256=UKSqn18Vs96pqmSuoAqIrWR4b_mGYfb8NX1WuCq9kL0,175
torch/include/torch/csrc/jit/passes/lower_grad_of.h,sha256=6VTvKPBke_bmQKdSZsxesD_zNHXL41-duh22GU4Qi08,362
torch/include/torch/csrc/jit/passes/lower_tuples.h,sha256=UTpqgT18zdoeGyYmZWmlv02Ku-fjKOMpJzM3MRG-dQk,671
torch/include/torch/csrc/jit/passes/onnx.h,sha256=zy19-Q0mm7zwNe1TLEf6ff5cPHvPcIArmgTfE7F4gZA,491
torch/include/torch/csrc/jit/passes/peephole.h,sha256=IsmJz_7P1Vn1ANPEzyu2E0jNtWoHh_PyASA4VF6xvuA,343
torch/include/torch/csrc/jit/passes/python_print.h,sha256=rsTrSHAJDy0RkQk9qlxpFLJTJiw9GH_loGNIiPUqgjg,1046
torch/include/torch/csrc/jit/passes/quantization.h,sha256=axN1ooyk8JoTq1YKUq-NlioD-kFjp5bt3CgEaEfs7U8,2610
torch/include/torch/csrc/jit/passes/remove_expands.h,sha256=mjZYS7XoeKX-c7-zT5LeapxckKwCe0Hgk5c_FeyBhcA,183
torch/include/torch/csrc/jit/passes/remove_inplace_ops.h,sha256=4-rlBkN4ptJ42ACa8q5mK-aVayV5eAR5UjgYLqoa8b8,242
torch/include/torch/csrc/jit/passes/requires_grad_analysis.h,sha256=1_M1qmXrDw6JTRFk32cMpVUCFsjKzXT5Ulo-8wr9IBI,276
torch/include/torch/csrc/jit/passes/shape_analysis.h,sha256=RTOAaB4yhBd_FNUypLqI2RGjrdX77EsUrO8TpwVNhwA,333
torch/include/torch/csrc/jit/passes/specialize_autogradzero.h,sha256=x4Eouc_J0likQeumL00Fn1P401xw6ieBo9j-XJk8dPs,547
torch/include/torch/csrc/jit/pickler.h,sha256=7sA_e5622vNef5JrZ4D6j6VJHGSCgK3Ql1s0K5cJLG0,5788
torch/include/torch/csrc/jit/profiling_record.h,sha256=a7hPlWob8czyw_TKJlnJ3Kr5JeIi_6el8K2q8-It2mA,1194
torch/include/torch/csrc/jit/pybind.h,sha256=YARh1h3WlR5pJaFk5nLPpl8VyEgDUjAJzbkfkYZ4QsA,3230
torch/include/torch/csrc/jit/pybind_utils.h,sha256=T3UFHBjZsvN_zAT6SXkQ7I0L6qivhzcTFvrzE7TptSw,19513
torch/include/torch/csrc/jit/python_arg_flatten.h,sha256=2S0qjvb9CKh0rRT6NMBGugmEZafp8zihhg_LF0qhBU0,3605
torch/include/torch/csrc/jit/python_ir.h,sha256=uapkAKTaWsjCt7nvS0Iw2-cG4_3icjYV1UIl8lLC6BI,1750
torch/include/torch/csrc/jit/python_tracer.h,sha256=Y4T0Y3fOFyCYRWtRdEZzHUIwEUISsyjzamv26ndLO5U,837
torch/include/torch/csrc/jit/resource_guard.h,sha256=K-VSLGlsbccMaU9JO_8dZ-nWoAO_UH6r9uHORqliPeU,455
torch/include/torch/csrc/jit/scope.h,sha256=sqs4L24BDj66CHpB-fCqF79oHRcGgfNjhficy9YKehQ,1990
torch/include/torch/csrc/jit/script/builtin_functions.h,sha256=IfwelewGRaVLCDUm1sfvtxVr5vqF5hPn7rYijBvC4Rs,293
torch/include/torch/csrc/jit/script/compilation_unit.h,sha256=-s-OkFuOiV8SJjZGyQhK31Q1o38Wgeg7Gw6h4r3g9mE,8193
torch/include/torch/csrc/jit/script/compiler.h,sha256=T5zN0_bo6vnXaGG4c6sbriuNq3MTPNt-a16E8Xl9Ntw,519
torch/include/torch/csrc/jit/script/edit_distance.h,sha256=zIgU9DtSFztvBjd0EMkkWy2fMjgymWZZXP-IIcl1sYc,325
torch/include/torch/csrc/jit/script/error_report.h,sha256=af99QhMjG9p-axp_BlV4mHzJymsjcoJaX1s7R3Fr8sg,1698
torch/include/torch/csrc/jit/script/final_returns.h,sha256=DtGqXeal6EWbUVf9VPgcCy54znsbar6rmvsGFqxdvZA,2202
torch/include/torch/csrc/jit/script/function_schema_parser.h,sha256=13YDcJ0CPYAwiSrz1LB3-ltCvEbnaoKZpUivWz7aq2Y,408
torch/include/torch/csrc/jit/script/init.h,sha256=i1CaJbMKJ9cyeftU5Cm957sqpny0K9JCpN-LcsgStWU,224
torch/include/torch/csrc/jit/script/jit_exception.h,sha256=DcofuHSwoJaNFFxDO75SDWbKJO5bRNHsbcSRLePCGe0,285
torch/include/torch/csrc/jit/script/lexer.h,sha256=uIdUBRpRxWZwUoc3sQGEvH96Ey0tEnrleCKWldP7VOg,17661
torch/include/torch/csrc/jit/script/logging.h,sha256=9O_Fz0O4Rn9LS7q3fPDXdpJgXFxoSS9RhLeHDfww61k,2678
torch/include/torch/csrc/jit/script/module.h,sha256=k3HDacfNdAYLDbSVO41E-BNDl-JGRbUGKo2mpQvrZ2o,18226
torch/include/torch/csrc/jit/script/module_python.h,sha256=LTBtCqeXgddbeZLlfb507pPAMmThVHKOPTMP3EdHWJA,510
torch/include/torch/csrc/jit/script/parse_string_literal.h,sha256=fXhJx7fFH3xYwiaEY2aDdkn7DhIeicZokIwkWLpsJ0U,2305
torch/include/torch/csrc/jit/script/parser.h,sha256=3AZJcN1AHSIdUYbFvMw4CZpjyUYUh-bnNjDjJfxaOSs,748
torch/include/torch/csrc/jit/script/python_tree_views.h,sha256=CHqzsvTvsSTF7VPJe404kl-JiD42aj3M-GmBZOUf9yw,193
torch/include/torch/csrc/jit/script/resolver.h,sha256=sIDHeOXd-qRAaWO9-vkR6OAwhIHtpFTQ9TLZ6MIHSYg,1970
torch/include/torch/csrc/jit/script/schema_matching.h,sha256=PumiQPHH4RmiC3AFrrtOoKva4kgH1r2HJKLD7ZoRZ0c,1950
torch/include/torch/csrc/jit/script/schema_type_parser.h,sha256=TD-wbXHBqg5IME7GOrMmwPRuYdAQLiRrj-LHDnm96ck,1016
torch/include/torch/csrc/jit/script/script_type_parser.h,sha256=3CtE01m3fJKA2bCg66WWyq48GC2UFwG_KLhEYYEmAc4,1111
torch/include/torch/csrc/jit/script/slot.h,sha256=e8dKrL32s5JOVMaEIsZhDPMIcJGkt-KIVC84GLlhoGI,1551
torch/include/torch/csrc/jit/script/strtod.h,sha256=LlklfRHK3DzcnB8ZbfdxgLsYHl8Omefw58qpb39kbNA,241
torch/include/torch/csrc/jit/script/sugared_value.h,sha256=AXGOja1B7KkqRSkEZyWSigz351wKDgWIuU8-7EyT2yk,11599
torch/include/torch/csrc/jit/script/tree.h,sha256=u8dJeS3qYHTOBrPVgEZFLu4617KDVPPlCQwzYOhPj5I,6494
torch/include/torch/csrc/jit/script/tree_views.h,sha256=fTAV9DVOjzZdeIj4a_9FmZ9sfvcWxSh74AjTQi84CoM,29499
torch/include/torch/csrc/jit/source_location.h,sha256=T6qQm9a1UKeoV8LP6SpnESLNXq0nZbS3F9_uQK0F_xA,1489
torch/include/torch/csrc/jit/source_range.h,sha256=6iE8YxyVfFLSaf1v3O_jq769tvVt0FEoc9vcc_GIBNQ,2709
torch/include/torch/csrc/jit/subgraph_matcher.h,sha256=nLErBC3qMgZQekRmbMeEypnVwDWt74WYN4hEPcOly2E,1825
torch/include/torch/csrc/jit/symbolic_script.h,sha256=cvtoE1wqcsteiKe21dZKeRyw4SyWznhDf7sTFMBMbT4,704
torch/include/torch/csrc/jit/symbolic_variable.h,sha256=Cvyq2HB6BhGX8MLCDa--khXXrnYRXp2y7kndijSDl4w,12510
torch/include/torch/csrc/jit/testing/file_check.h,sha256=XPUsHYjP2mXmzD-QzBBSg_9_IVJ2oDbp7ZcGaVggo1o,2351
torch/include/torch/csrc/jit/tracer.h,sha256=1-GoMik5Od4Xb9pcZArchgvgx5E0V63Zjrjk0KZ5gnY,6300
torch/include/torch/csrc/jit/tracing_state.h,sha256=XqmXtX793bCv9E9yowU5GUtFpBmhMc0i_kK8E0PBVoQ,5179
torch/include/torch/csrc/jit/variable_tensor_list.h,sha256=ZzhjxG1GkTb8Fnh5FS4WTXiClrXs_XNGmY8jVKwep_8,564
torch/include/torch/csrc/onnx/init.h,sha256=LB-GP-9Y2uyrhNGYNGSmwe5ZWnx2PSeaGe7haHTTpSo,167
torch/include/torch/csrc/onnx/onnx.h,sha256=8KOg11-LU0omm3hMCBf4pgzTMs1Na9J5-mc6BVyTv2E,287
torch/include/torch/csrc/python_headers.h,sha256=R7svgKNnzW8FOlMh_bxro8K0btDTKXyn6O3tNxaSwnM,331
torch/include/torch/csrc/serialization.h,sha256=AkBEa8niQl-RQqQQlbUAltyEb-j8CVk6W9iCdNhhhwk,476
torch/include/torch/csrc/utils.h,sha256=OvgHwXCn-fYzf1KYRLlosUDuIiMRX_-FrJ4q_WH40C0,8177
torch/include/torch/csrc/utils/auto_gil.h,sha256=yL89QK29pN_tBnFZ6MQfCswDjDmULOkhPf3kOZ1qArI,653
torch/include/torch/csrc/utils/cuda_enabled.h,sha256=22xaWJYXQ78EZ7SGHMfHXBfbGFG_7Kqw4tzu_bTWwFU,169
torch/include/torch/csrc/utils/cuda_lazy_init.h,sha256=3SJ1DTRCmc7ctogesGKmkXEXy6H7sdNASOEKHJodzpQ,774
torch/include/torch/csrc/utils/disallow_copy.h,sha256=6SlN1GiLTk9HCv-x8R7gU7kLEwb7PdUUtquINPpwmTE,148
torch/include/torch/csrc/utils/hash.h,sha256=2Lr3IE3J-_PQkj5EGVi8AHpo-l6Kc7O1vNgobMWLThI,4812
torch/include/torch/csrc/utils/invalid_arguments.h,sha256=KH-u_vRNZGchvpQ4GmmzN09i430y8C7Mu8FGZZfJ2wU,317
torch/include/torch/csrc/utils/memory.h,sha256=hQm4pT9uI-Gnh8TpBjMBW0XrI6BjoLnOB5t_wfO2_8M,978
torch/include/torch/csrc/utils/numpy_stub.h,sha256=x0yEqAooYgpFD1pUVnpCauGU6T3_tc_asQxyOU_tVp4,420
torch/include/torch/csrc/utils/object_ptr.h,sha256=Y88_SF2F6EMhRId4ZEfyEy66NU0TCzrWdEAngL9Q50E,1367
torch/include/torch/csrc/utils/pybind.h,sha256=d4w7MvRU5dB4h931mtLkbDPdT0Q1DiNlShA1Bk7DPiQ,3157
torch/include/torch/csrc/utils/python_arg_parser.h,sha256=Of1IYjLvbi7TruGTwKupmIIY-u1HKuVnvtXBCsRT3OA,15948
torch/include/torch/csrc/utils/python_compat.h,sha256=n_JLgn3itivtZFW4F7D--gGz3cd98eJ3W9CG3uOk5-g,2482
torch/include/torch/csrc/utils/python_numbers.h,sha256=fYmuoV5I4vK6VZnXURyy4WlHPnAb_LWiU5_UsxFYnvE,3909
torch/include/torch/csrc/utils/python_scalars.h,sha256=qPBNTTsYKuPB08vfFEeKZtuAdIhNhDkOoe4Pp1Nyj2M,2388
torch/include/torch/csrc/utils/python_strings.h,sha256=Vt5I1xxa-FnN7ixXtx4AgTR0cZXPbxMmtoijJ8E9kKY,1876
torch/include/torch/csrc/utils/python_stub.h,sha256=VCeDRiGbtYhM3F7bhp90T2hFV0hOlI_g8iecAD84L9M,60
torch/include/torch/csrc/utils/python_tuples.h,sha256=cNLERnCRqoRAzncHWyI3vjjBlWTjtVhXGm0Uo_Q3k8Y,707
torch/include/torch/csrc/utils/six.h,sha256=-3NlTzaV174adsyGm3H_MiocMKaVNzAponcK7LKYgvY,1666
torch/include/torch/csrc/utils/structseq.h,sha256=ST7epQSffHBOp-WOorvG2-rT50Ne_OoeotJ00ih5BzM,283
torch/include/torch/csrc/utils/tensor_apply.h,sha256=WUJpGmey16kPsW2ACMuX1Tn7BK3mUSX3-ZlYLHqLggU,408
torch/include/torch/csrc/utils/tensor_dtypes.h,sha256=cOOVXaPrCQwTwr6alV2qe9nd9-ob5TZctwsGcjag9uI,176
torch/include/torch/csrc/utils/tensor_flatten.h,sha256=mVOlmOxeAOjxmirL9g4JXannOHgEzGc1BFSHZAOwMcc,2576
torch/include/torch/csrc/utils/tensor_layouts.h,sha256=z0ijOPmBbswPFVyeoAHQ4t-ehHiEdbyw6jQJodTOEy4,114
torch/include/torch/csrc/utils/tensor_list.h,sha256=gxnigQ2pfHIja-SmU7f_4X-7z7AP_3jukt57kY6vluc,206
torch/include/torch/csrc/utils/tensor_new.h,sha256=m7IqTh-saZ_zalHeFE9zleHEfQQCJQMxrtCI-6-VRNY,1416
torch/include/torch/csrc/utils/tensor_numpy.h,sha256=0cb7P4lqU6Jy3wTdmFkqeyYR0sWL3bivvDmcyFWWG1k,343
torch/include/torch/csrc/utils/tensor_types.h,sha256=MYU-kLFlGTLKTUtCH3l8QhH5mmCzHckvLsi83HyuP-E,472
torch/include/torch/csrc/utils/tuple_parser.h,sha256=MIw53GuqUMFmgDYSzMER-Ne9wlNbnpE8dQvC9Wj6HOM,715
torch/include/torch/csrc/utils/variadic.h,sha256=Vt0v-FEIYJRdpbQfVxFFTmgcscIhlVzkJqvDl9AvPwg,6162
torch/include/torch/extension.h,sha256=RTo4fMerah14TzSX6-3TSVkpS-JOBn82kc2KqHII9Nk,176
torch/include/torch/script.h,sha256=vcnyzVkNS1bDlm-mwhr5NcqUcHdBCKOUVxSgJbeu4d0,235
torch/jit/__init__.py,sha256=RFcGrKnbPe_wrxHIJVhaY8DVsyesbCC2s5AxaZeuKRk,69804
torch/jit/__pycache__/__init__.cpython-36.pyc,,
torch/jit/__pycache__/_logging.cpython-36.pyc,,
torch/jit/__pycache__/_pickle.cpython-36.pyc,,
torch/jit/__pycache__/annotations.cpython-36.pyc,,
torch/jit/__pycache__/frontend.cpython-36.pyc,,
torch/jit/__pycache__/quantized.cpython-36.pyc,,
torch/jit/__pycache__/supported_ops.cpython-36.pyc,,
torch/jit/_logging.py,sha256=galxU-qY2pL6NAA7p2vF86rQnOi7tsVeq-9i33CoFRI,266
torch/jit/_pickle.py,sha256=vHUmPfj6ucqklFiGGNiz2Anp8LYTpa9DC507WhZPLb4,181
torch/jit/annotations.py,sha256=x2H27w7ahdBdWsUu5h9MarQgc4k03CQyi_UhYlT9M48,6520
torch/jit/frontend.py,sha256=HZwgDFCyfowTa1bIDC2IkuIHUWXmz-ca0rr86Lge_lg,23703
torch/jit/quantized.py,sha256=jxPfG_7qWD33EMRa6xMAof0Sjsno7z6BEO54hztJAa4,10299
torch/jit/supported_ops.py,sha256=1fixhjs38arVZygCJPe7wABV-DJ-I-FsBGQAExp4a8c,3486
torch/lib/_C.lib,sha256=qwIKwErUn5IJEJpETOE2v4bG-TEFi9oiTJIY6O1cBHA,1908
torch/lib/c10.dll,sha256=ZODGDBwbGY94sV2WZZZEZGWPX-FlM11MW0f-J1Wer_s,304128
torch/lib/c10.lib,sha256=CeCdmcl5KKB8VJdTUvOQ7TLEYlC7pRUu4UZoFKnwAds,233086
torch/lib/caffe2.dll,sha256=WuB3bMMx2cqX4jl8sEmk0cSHUKlfDxoyxnPV5Xu4r_E,32472576
torch/lib/caffe2.lib,sha256=hK-6t_nShSq3u5HKaZpC6UHaAoUZQb5pXOooJtkmVJM,8617862
torch/lib/caffe2_detectron_ops.dll,sha256=-slGTKI1B2YjFCtfdSazgyadCMHV4Wjb8ZfMSumAqMY,1153536
torch/lib/caffe2_detectron_ops.lib,sha256=jCiwbaaimIfDlz4s4dNAix3Ny3lamy-EEd-MCt5f-IE,45638
torch/lib/caffe2_module_test_dynamic.dll,sha256=5A-byApR-0AhPCyPhhTuQQLbrHAtEgtXRMTr6x-_wDA,96768
torch/lib/caffe2_module_test_dynamic.lib,sha256=nYxD8C4kGa-kPpc43YA1X0i8YimQjwJHGsE-hezEjQM,34752
torch/lib/caffe2_observers.dll,sha256=tziGLNwIKvju1UUBpr5_tOiE5H18Rl0tN03OiLJQf4M,1071616
torch/lib/caffe2_observers.lib,sha256=vYNUlBqVG_5jagSiOxeY7axhwHIME2HD1v6Rd1Cq_Os,56340
torch/lib/clog.lib,sha256=zHXD9bWUO2cNPHbfXXdJEzNxLOVrBSGJdhJW8njnBIE,10836
torch/lib/cpuinfo.lib,sha256=AxRnanUie-GdjkFZ6x1DdVdK0oyaOom_inQ10fom1sE,104298
torch/lib/foxi.dll,sha256=TaN1ciKVKANI1oA-SHoSi7c8nffmhHFXwIWQNZAXND8,16384
torch/lib/foxi_dummy.dll,sha256=sJJI5ox2xo794JMa3lDfFJxjxPAoAqgxvefVEZaYNus,10752
torch/lib/foxi_dummy.lib,sha256=WpvAw0tbCVDhLeYecujWlrvmYvtesdPC2kGw0t5Ujc8,5468
torch/lib/foxi_loader.lib,sha256=i0G1bK4NR89EjUuaUxlXkOFPlePwtQgYt-JEjI20QdY,4280
torch/lib/libprotobuf-lite.lib,sha256=ZbqnSihgrPYz0Gel34jJfDMfAHCuHwhddC6gK23xnDo,4816692
torch/lib/libprotobuf.lib,sha256=eX5g7HRNTtpztgkwd7s3nx9sfJxxiJT452aE_65F2-M,47447788
torch/lib/libprotoc.lib,sha256=KQLINq9rO6TPA2oPRDN0F1o8lfZg_Eis9H91HlkT7MI,43753034
torch/lib/onnx.lib,sha256=9JyDmxtDLorLpNGnHYyVhdUIpD8HUkyd7eisrSp3ask,79886934
torch/lib/onnx_proto.lib,sha256=QgVCI1KPQavGLthi3OmY_f5YYq4v04cVmjA8ahODwWo,1958010
torch/lib/onnxifi.dll,sha256=S6wUtV-O4l7b_XfFUWppyHqB5n52ZX3-ApYZfPYD5bA,16384
torch/lib/onnxifi_dummy.dll,sha256=dcjGgx-krV5q2-KTQ1vIHPhZtYXQ1kzJM-1_TMPuvpk,10752
torch/lib/onnxifi_dummy.lib,sha256=vrhiOGJSvEH6Jj_8bp8lm0xEQEn_iTSPTOcVxCpYpd0,5390
torch/lib/onnxifi_loader.lib,sha256=0P9wf0bv58otA-K5ExBi5Lf4LA3646QpZDxNHy3lER4,4288
torch/lib/shm.dll,sha256=NWtdkjwl55y7RMuLM0dxiRLmx7lGB7RrRe5c8Winw54,17408
torch/lib/shm.lib,sha256=GEAd2NaTVhDNVMAs_USrRxUevJlw3MTfw3HL79hqpCY,15100
torch/lib/torch.dll,sha256=Y02JKX-MLYYseTdHKg7OVgkK-21AAntMFoMhGACul7I,30520832
torch/lib/torch.lib,sha256=o2c1fkyViFyiX4q5IhC3kk1invyQ2iB04u8undA784M,4020470
torch/lib/torch_python.dll,sha256=1h0YpazMZz3vrqZxDVYXI6HR4RZmqS1s1j-4W7oPmdM,7052288
torch/lib/torch_python.lib,sha256=MFwoe2LicalhmMHMkf1OpPxOog-DpFHNOKhhNx10Oqo,38652
torch/multiprocessing/__init__.py,sha256=GrTkJy1cbG36T_U_tlAn_Leak-7Hcgp8EUnc842zAAY,2732
torch/multiprocessing/__pycache__/__init__.cpython-36.pyc,,
torch/multiprocessing/__pycache__/pool.cpython-36.pyc,,
torch/multiprocessing/__pycache__/queue.cpython-36.pyc,,
torch/multiprocessing/__pycache__/reductions.cpython-36.pyc,,
torch/multiprocessing/__pycache__/spawn.cpython-36.pyc,,
torch/multiprocessing/pool.py,sha256=gs_JiYTXDY9bU4FQD7g4k8OKJI2e24GfbITria67veQ,1676
torch/multiprocessing/queue.py,sha256=vvqvsVCv0oIDlCiqxmh-2N_4ZwPcJvEQXIpaBSLsCsg,1486
torch/multiprocessing/reductions.py,sha256=7vcQikokP2mskfd6qRdSsy53X_ysSpaNUL5GabgY7nU,14615
torch/multiprocessing/spawn.py,sha256=yLb_SkMaNFApF7BujkoMb7rHMISBCkkGiUUdbHzYZ0M,6231
torch/nn/_VF.py,sha256=cZ5G1K6QnU6rfuzGfJlWNaFtL8AE6gNbBXHrdhKSviU,324
torch/nn/__init__.py,sha256=iR5sPV6pTxt_POVrKMBKwSP3LeWHI2oaNl91gcCpFug,205
torch/nn/__pycache__/_VF.cpython-36.pyc,,
torch/nn/__pycache__/__init__.cpython-36.pyc,,
torch/nn/__pycache__/_qscheme.cpython-36.pyc,,
torch/nn/__pycache__/_reduction.cpython-36.pyc,,
torch/nn/__pycache__/cpp.cpython-36.pyc,,
torch/nn/__pycache__/functional.cpython-36.pyc,,
torch/nn/__pycache__/grad.cpython-36.pyc,,
torch/nn/__pycache__/init.cpython-36.pyc,,
torch/nn/__pycache__/parameter.cpython-36.pyc,,
torch/nn/_functions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/nn/_functions/__pycache__/__init__.cpython-36.pyc,,
torch/nn/_functions/__pycache__/vision.cpython-36.pyc,,
torch/nn/_functions/thnn/__init__.py,sha256=VZIJzichQnl8nirBdwdrG96DQFLGUb52CQjKwmqqG2Y,139
torch/nn/_functions/thnn/__pycache__/__init__.cpython-36.pyc,,
torch/nn/_functions/thnn/__pycache__/auto.cpython-36.pyc,,
torch/nn/_functions/thnn/__pycache__/auto_double_backwards.cpython-36.pyc,,
torch/nn/_functions/thnn/__pycache__/auto_symbolic.cpython-36.pyc,,
torch/nn/_functions/thnn/__pycache__/normalization.cpython-36.pyc,,
torch/nn/_functions/thnn/__pycache__/sparse.cpython-36.pyc,,
torch/nn/_functions/thnn/auto.py,sha256=uupPVxHFvvoWGixpicEqMGWK04zK_1bXE8DmfbJRb_E,15163
torch/nn/_functions/thnn/auto_double_backwards.py,sha256=KQJ8Sq6aqAwAk9yypFq0yzym7xIcXOiFW253-fqLsxc,8838
torch/nn/_functions/thnn/auto_symbolic.py,sha256=WadcZRL3jvSir7bZ05dSFBWhTNiPAvHUrVFgN7jCeOw,752
torch/nn/_functions/thnn/normalization.py,sha256=kJWQ-FZ4t_WwdXCboM2cHncVAWJNllT5e9KMRwvOXqY,4938
torch/nn/_functions/thnn/sparse.py,sha256=7n3Hpgu1aZytHZxnhVyTlvEcgNn8UZag3ifWa6_IKiU,5939
torch/nn/_functions/vision.py,sha256=uC1AVopwppff0Tma_BfpxVgcLhb9pj3C0BLY6WK-6Ho,485
torch/nn/_qscheme.py,sha256=YypW8YBITQiEUxGf7G-oOs93gdA2jrGCbJl7WpRw5c0,562
torch/nn/_reduction.py,sha256=1sQS35BywFY5hcoy0n_tHnxSaA5yczljmyp1qz25rdU,1695
torch/nn/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/nn/backends/__pycache__/__init__.cpython-36.pyc,,
torch/nn/backends/__pycache__/backend.cpython-36.pyc,,
torch/nn/backends/__pycache__/thnn.cpython-36.pyc,,
torch/nn/backends/backend.py,sha256=7SKvH7VL290gIiQOpqE-8_ljAofL1TMB24PLqNN9S9Y,538
torch/nn/backends/thnn.py,sha256=uCayIbUpqxkBwK45NTkS2oqeZJ1d9lMpDWI0pABqJVM,630
torch/nn/cpp.py,sha256=DWm3lT6RzuJthsuZHHJS2_atP8nKll5LTx-LsS-jZw0,2916
torch/nn/functional.py,sha256=jc6pMaG_Odu3j1H3GSAVqihtN37i206R9kOXKqFBxgI,136185
torch/nn/grad.py,sha256=PHiwnFOKWkUU1u7O-oIyBD4GYD2g05iVzey5P1LbcFA,14001
torch/nn/init.py,sha256=hz5eio1vaaNHOW3dCpQLz6-iqHQBp_9ULg27wTwO2Z8,16066
torch/nn/modules/__init__.py,sha256=WrfoVZf8Sb5-yZ8cKTjj7dkt8z3l_t01maEVf3yvPfY,4025
torch/nn/modules/__pycache__/__init__.cpython-36.pyc,,
torch/nn/modules/__pycache__/_functions.cpython-36.pyc,,
torch/nn/modules/__pycache__/activation.cpython-36.pyc,,
torch/nn/modules/__pycache__/adaptive.cpython-36.pyc,,
torch/nn/modules/__pycache__/batchnorm.cpython-36.pyc,,
torch/nn/modules/__pycache__/container.cpython-36.pyc,,
torch/nn/modules/__pycache__/conv.cpython-36.pyc,,
torch/nn/modules/__pycache__/distance.cpython-36.pyc,,
torch/nn/modules/__pycache__/dropout.cpython-36.pyc,,
torch/nn/modules/__pycache__/fold.cpython-36.pyc,,
torch/nn/modules/__pycache__/instancenorm.cpython-36.pyc,,
torch/nn/modules/__pycache__/linear.cpython-36.pyc,,
torch/nn/modules/__pycache__/loss.cpython-36.pyc,,
torch/nn/modules/__pycache__/module.cpython-36.pyc,,
torch/nn/modules/__pycache__/normalization.cpython-36.pyc,,
torch/nn/modules/__pycache__/padding.cpython-36.pyc,,
torch/nn/modules/__pycache__/pixelshuffle.cpython-36.pyc,,
torch/nn/modules/__pycache__/pooling.cpython-36.pyc,,
torch/nn/modules/__pycache__/rnn.cpython-36.pyc,,
torch/nn/modules/__pycache__/sparse.cpython-36.pyc,,
torch/nn/modules/__pycache__/upsampling.cpython-36.pyc,,
torch/nn/modules/__pycache__/utils.cpython-36.pyc,,
torch/nn/modules/_functions.py,sha256=U__VJYhZX9CRIHVGOJKsAxxyZCosDpY04FniyVIv1kE,3804
torch/nn/modules/activation.py,sha256=4k4Dd72TV8VaQBEfP6Hb0uSnD5CSeSqU2DSZxDDHVTQ,36910
torch/nn/modules/adaptive.py,sha256=ViRkNh7jU_F4BY9IpQg6p3ucJK1fW0Kr1OG7h1IdZlc,10840
torch/nn/modules/batchnorm.py,sha256=S7TieqqvR3nPx0ENZxM0H4A9MDTkcJuYjy14dCpHSps,23976
torch/nn/modules/container.py,sha256=4L_r8f9q-DBOiSIf4XBXduXF6HMT55rPKeGWqsdVMIc,20545
torch/nn/modules/conv.py,sha256=xbI53mLs_Tl1-09UAVK2MHM4z0fXGvE_jlWT5IuINVc,47348
torch/nn/modules/distance.py,sha256=nr3Eldi4AELoBBn7BxsrLIBkeJVfuPJPI6lGNGXARKI,2655
torch/nn/modules/dropout.py,sha256=x1ZbTS1Dbc3DfjnDH6RoHNKKYX0OeUlrhIY7s-_qsBI,7167
torch/nn/modules/fold.py,sha256=3WYFR-qVDape1A41_znV52dzeTYwkmztame0RUA7Cls,10409
torch/nn/modules/instancenorm.py,sha256=EE2JZWNHhpvJ8PZwEFf6TP2dtlveKYwVT74V0hLVFxM,13727
torch/nn/modules/linear.py,sha256=c5jo4KRgZjz3navpZCvqVaby5hiCZn29Lp4wjLl_nCA,6362
torch/nn/modules/loss.py,sha256=__DZ_GB6knX4WOefTtHSIO7JsJ_u1WmAe4786Aum6C8,68129
torch/nn/modules/module.py,sha256=PUcBUbHqGAq_jCAmuvs6MBCET0SawBeihhUnq5WSWzA,43093
torch/nn/modules/normalization.py,sha256=94gPPJnvUm3-ygV-nfHsC0YzWRNBmS6-QvGgKvBIiis,9129
torch/nn/modules/padding.py,sha256=mHBe9sXfBrCCVGbiyjxnzk1L2ciwFGbWnHkgPXic418,16745
torch/nn/modules/pixelshuffle.py,sha256=YQwmD5V4dWwoEEu28Ge9IjbcS-o5dqeGQCGErjuflH4,1784
torch/nn/modules/pooling.py,sha256=I2HhK1QizYhYaxGs-0f0_OFIzRhAHuj8O0J5nOXUjTQ,46493
torch/nn/modules/rnn.py,sha256=SFwxElJeBwWSzLyLMG2r8L2B9HquKHrBqbwIqo4yXRs,44398
torch/nn/modules/sparse.py,sha256=JHiI28tpdUMatmUIwtnCKvU18OrpZweBlt7uHtaHewM,16992
torch/nn/modules/upsampling.py,sha256=l9ZlZwFDGO8S7ZNbJLK71A60oaeTGpl3e09p-w6heCs,9797
torch/nn/modules/utils.py,sha256=3ecy6onatJHtU9c6TfyFEioq_LEG3yI_qY9BlS0IIk8,663
torch/nn/parallel/__init__.py,sha256=__s2-Vzk9G1VbCC-LdUwki5gM33fC6Ok4TcAXyp9cyY,505
torch/nn/parallel/__pycache__/__init__.cpython-36.pyc,,
torch/nn/parallel/__pycache__/_functions.cpython-36.pyc,,
torch/nn/parallel/__pycache__/data_parallel.cpython-36.pyc,,
torch/nn/parallel/__pycache__/distributed.cpython-36.pyc,,
torch/nn/parallel/__pycache__/distributed_cpu.cpython-36.pyc,,
torch/nn/parallel/__pycache__/parallel_apply.cpython-36.pyc,,
torch/nn/parallel/__pycache__/replicate.cpython-36.pyc,,
torch/nn/parallel/__pycache__/scatter_gather.cpython-36.pyc,,
torch/nn/parallel/_functions.py,sha256=5yEMJaciHaYKqCBtNJhd9ouGc4gR_tjtIWGKJEYZemQ,4526
torch/nn/parallel/data_parallel.py,sha256=5hshiT4LaD3RhCTMumbGkMItsI-pak2WrF165QK3rtI,9445
torch/nn/parallel/deprecated/__init__.py,sha256=dr3eospeK2nbukBV5OQ-bL75ygBlXZSe2B6CG1UH8zU,178
torch/nn/parallel/deprecated/__pycache__/__init__.cpython-36.pyc,,
torch/nn/parallel/deprecated/__pycache__/distributed.cpython-36.pyc,,
torch/nn/parallel/deprecated/__pycache__/distributed_cpu.cpython-36.pyc,,
torch/nn/parallel/deprecated/distributed.py,sha256=VQzuPK-KweO3vDfPe51S8T7WdzAFwAVIDC9ETUIQJ9U,22602
torch/nn/parallel/deprecated/distributed_cpu.py,sha256=TzGkTYtr7h9tskHY0RWlkKH3WCDLlNy0SahpmBWejMU,4398
torch/nn/parallel/distributed.py,sha256=WvJI4a1RRVpcCsRKo3-hZKOFTPptFRaWmA4irpp1CJE,22224
torch/nn/parallel/distributed_cpu.py,sha256=ipL9duNOKYb9w6dGx-XAY2RjP2sWA_R9VMWKmk1fp28,4352
torch/nn/parallel/parallel_apply.py,sha256=L4nVRinT6bYM-lWyhvk9mHekYPyJ_BAcTFllES8OeTY,3055
torch/nn/parallel/replicate.py,sha256=P3ebJX6SA4j7jtY-iRCLnB75BJmjuYGv0Rxcyc4qi2o,6732
torch/nn/parallel/scatter_gather.py,sha256=ukiQGXdhrmeWT3q3xtJsg2ixYC-OQVvippmIlPCXhaE,2731
torch/nn/parameter.py,sha256=B4kELsd-vjS6B-u0yfP35NQdZ9b8LgRGyTmU3eSoA6c,1720
torch/nn/utils/__init__.py,sha256=H3w4NTX9Lutyy39Mp9Jbx9AULbWeoDoRjoV8HEUjvcU,361
torch/nn/utils/__pycache__/__init__.cpython-36.pyc,,
torch/nn/utils/__pycache__/clip_grad.cpython-36.pyc,,
torch/nn/utils/__pycache__/convert_parameters.cpython-36.pyc,,
torch/nn/utils/__pycache__/rnn.cpython-36.pyc,,
torch/nn/utils/__pycache__/spectral_norm.cpython-36.pyc,,
torch/nn/utils/__pycache__/weight_norm.cpython-36.pyc,,
torch/nn/utils/clip_grad.py,sha256=puihXypzuElQ407t3sgVSLGuRDGbv8EBVaSE2gzGVjI,2692
torch/nn/utils/convert_parameters.py,sha256=P8ughvG57w2NWgrK4LSmyDbWuNJJx6Hf2E12FJVr_xE,2939
torch/nn/utils/rnn.py,sha256=TqJbV2VIM5zm9YIJfXTlJFewEgCZQonUb_YV2osYP_8,18264
torch/nn/utils/spectral_norm.py,sha256=TisL3drFVOauP0lRWKgET4afWKJACL2mUi9DXTIsI08,12078
torch/nn/utils/weight_norm.py,sha256=z9aj1XNIhwd-0zC8LHtn_nt5T8egbTXNE1mo1zaggug,4078
torch/onnx/__init__.py,sha256=3npt4pf1GLB9ADZ6nHuAiGf8NQyMxJ1S8C0SsOqFwvc,1572
torch/onnx/__pycache__/__init__.cpython-36.pyc,,
torch/onnx/__pycache__/operators.cpython-36.pyc,,
torch/onnx/__pycache__/symbolic.cpython-36.pyc,,
torch/onnx/__pycache__/utils.cpython-36.pyc,,
torch/onnx/operators.py,sha256=yG2F4C3QyHDJATxRo4KYxn2JsLwWNsbsh5bkRPF1UuU,598
torch/onnx/symbolic.py,sha256=-XoBeVAZijk7s0FinWURMhqe3emweMpR-6npVIttSHU,67217
torch/onnx/utils.py,sha256=3J9nrvFor-pGZg85FyGpaigwyqvP3QhaYel_LMam1TA,31716
torch/optim/__init__.py,sha256=2yoAHMyHlncKH2R91wMSHB68xZAQ24lUGU078-1TupY,904
torch/optim/__init__.pyi,sha256=JJHWQtZ-Vrh4uagPA-0k54KRkHXZEjQMfVNZjTiZaMQ,105
torch/optim/__pycache__/__init__.cpython-36.pyc,,
torch/optim/__pycache__/adadelta.cpython-36.pyc,,
torch/optim/__pycache__/adagrad.cpython-36.pyc,,
torch/optim/__pycache__/adam.cpython-36.pyc,,
torch/optim/__pycache__/adamax.cpython-36.pyc,,
torch/optim/__pycache__/asgd.cpython-36.pyc,,
torch/optim/__pycache__/lbfgs.cpython-36.pyc,,
torch/optim/__pycache__/lr_scheduler.cpython-36.pyc,,
torch/optim/__pycache__/optimizer.cpython-36.pyc,,
torch/optim/__pycache__/rmsprop.cpython-36.pyc,,
torch/optim/__pycache__/rprop.cpython-36.pyc,,
torch/optim/__pycache__/sgd.cpython-36.pyc,,
torch/optim/__pycache__/sparse_adam.cpython-36.pyc,,
torch/optim/adadelta.py,sha256=8Zzwesc1e48QgfuqV6CA7_a5nLB3iQmDRfniZZLqvIE,3026
torch/optim/adagrad.py,sha256=FfZ0d8ofiInzXWHlSDtVAAVzUlSO1PESKTL0AnFpjKY,3987
torch/optim/adam.py,sha256=J-o6IHJJG53sKqC_ZfAFhpVSwZ3MQDboXyXB-aaLz6I,4727
torch/optim/adam.pyi,sha256=xXfM61Hd8d4jhU4YTOeJhwbimy9i5EddgoonODYHc_U,262
torch/optim/adamax.py,sha256=CdjrXrkbKydLfTvYkV16cvcw1MvPfPXfX6hHpIf3W58,3513
torch/optim/asgd.py,sha256=blPIc8ADsaQN7UYXxR-47uZvo-eIYHeM4M3ftIac4wQ,3109
torch/optim/lbfgs.py,sha256=EUugRd9u5vM4MvKRXJKKWDpKsPP9f7VKXbGD_ksXN2E,9444
torch/optim/lr_scheduler.py,sha256=RzFh9cu9nwTJ15YK4SlVJNx0CzeaD5mAC2sQ4qNNsWU,31351
torch/optim/lr_scheduler.pyi,sha256=4ZUYUVKqDF6jegaipq7du-w1kY2Y2hYC67H2p2RHUL8,1530
torch/optim/optimizer.py,sha256=_4MeWmc593Wcgi64D1h8CUfp7Qpcn5ePHj8CW32VxrI,8884
torch/optim/optimizer.pyi,sha256=NUb435ndMvsaxrwOySiXndmSRIJPhfg29htmnEg6zV0,479
torch/optim/rmsprop.py,sha256=SochUJw0skN63qbaTmmHR2ZL9LDVnkDKS9VD6i6azok,4197
torch/optim/rprop.py,sha256=7xLHn7TquCXMc0xaLGm471aJdLm9mNHCOBOWljkWxqM,2878
torch/optim/sgd.py,sha256=pprp0NJQvpTUY5xNMTeLM9-EMj55E-5bAmnGIebJcZg,4142
torch/optim/sgd.pyi,sha256=IdsRyk-6v7hbm6PEKPeTkYih3mmCCsLLmdUHo-GHwGk,223
torch/optim/sparse_adam.py,sha256=KASPvCar6955efsGl6fVP_dYLIt304lJ9xEKvGSvlUo,4699
torch/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/quasirandom.py,sha256=MIx0ioFz0me2Fb-JjyLkkEufMvlhgZ21iBDWcbCvcKc,5076
torch/random.py,sha256=R3GHkMt_-bHMGOzX6Ff_-eO6q0Ht3koG-B-oBsFxWlg,4166
torch/serialization.py,sha256=ciqsnkIPgU6oto08Dcl-PqbIypi4ZPshJ3INjtF6FXk,24134
torch/share/cmake/ATen/ATenConfig.cmake,sha256=sL-P5WzDurAYvJzfNIHlU06KG0FTVjhHHSjVywfv0ao,331
torch/share/cmake/Caffe2/Caffe2Config.cmake,sha256=2a1qXRt9DvCdzwixRsD35SPnNS803es5wOuvL3AT2rc,5547
torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake,sha256=q35mW-BMqSmCXHfc8VlL_QA2EVg08Iuf3JCCi918vxU,379
torch/share/cmake/Caffe2/Caffe2Targets-release.cmake,sha256=pRqTUugbpPijGJ0Ki_7aNMMNf8X7xkjGQ0bHximbTyQ,1294
torch/share/cmake/Caffe2/Caffe2Targets.cmake,sha256=o912MczeJOWZn6OZklP335iMe6O-TPyGI02gyhpfVA4,4507
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake,sha256=yVY9ZuazsjOWvko_j0ebC9zXNBgDBqn7yFFUmuGWwdI,536
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake,sha256=pSX-UCD4EzIprk563tpH9yFmGH_ziG6NwUQt1GHhhos,1697
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake,sha256=8F8joXsPaQINrGn1drGaOwt34q0SgSZ-hPkPn6_QH78,89875
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake,sha256=p7tz2-DwvWVTxW082qsoMSXTwWlKk3AWw32drCNkjFk,4031
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake,sha256=dJbDhA0BRLkx9K4Wpfb0gkGMBUGFFfpqYYmY6chT6BM,3552
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake,sha256=TgDCfTv4cKWvIvEHhWy6CESs4OMud4c-kQoq4Bj47CY,12153
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake,sha256=3-8oTaMyZqRW0CD9uRD6Lh8C58SfmGu-F59HidmfaoI,10693
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake,sha256=OJQRMapUAJYF98ivq3YLfTzYXY4NUBARyPwsbNmCojM,15288
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake,sha256=aggekwaBIweoGRvyGnWWSLFOfGhinyHgkP-AFdXlIME,1611
torch/share/cmake/Caffe2/public/cuda.cmake,sha256=yP4fbXePEHaZ3aSCvXNzW57rYpecRd6rMg8a8D9gjQg,14454
torch/share/cmake/Caffe2/public/gflags.cmake,sha256=neAt4V5nDMMqaNdibP13coE7ilRVWlAuQe8CBjz53fM,2708
torch/share/cmake/Caffe2/public/glog.cmake,sha256=wVjZtxm3VuYVkyNw4acKOnHAbz1EuT-j8m4MraCDIfA,2395
torch/share/cmake/Caffe2/public/mkl.cmake,sha256=RxNtkVhYacoTV97rbzFnDY_dD_TixnhGgUxRQ0KZK58,263
torch/share/cmake/Caffe2/public/mkldnn.cmake,sha256=qU_q2oBG_AGN-L_Ah5v86iObjPcaaS7zxMjdvIa1G8s,281
torch/share/cmake/Caffe2/public/protobuf.cmake,sha256=ClzPND2yiX5Kq4ultJEkRsEwlu2ak8jQtg40oWhVYVE,4102
torch/share/cmake/Caffe2/public/threads.cmake,sha256=-LXAzyaI7Hu09sN5JntOqtGtLlPJ1H_G-G4iBqKHoa4,601
torch/share/cmake/Caffe2/public/utils.cmake,sha256=CjqfpR9aegjf7w6rmLcVcE-6pNIXIXLuLJh7tgrwlYU,9195
torch/share/cmake/Torch/TorchConfig.cmake,sha256=tzVDm3zpMcPL4dZ1A-dbzYqxaWEy9qUOmb82lMFvXV8,3144
torch/share/cmake/Torch/TorchConfigVersion.cmake,sha256=LvR5m85JTU_PZ3j9WMQGEEnUp29TGkCs86GxVtDSPTc,378
torch/sparse/__init__.py,sha256=VUMWJ_gnWK5XQXr2Bv7_ltp4YMLE7s5ThI6e_7_YDvs,5438
torch/sparse/__pycache__/__init__.cpython-36.pyc,,
torch/storage.py,sha256=IWYa6IiQK3JOcXQ6o-t8EfceZBjE3uTZGs3ib7UM7YA,4390
torch/tensor.py,sha256=iY09wW_7AAj7sDBgTSBJHvS90l5eudTIMgUuqh_shm0,22378
torch/test/AlgorithmsTest.exe,sha256=YoCUFCdskJPqT1taoaFLuPWvZftWhuoDCxR2cOrE5B8,347136
torch/test/BinaryMatchImplTest.exe,sha256=Y4ztLHu2RRM69cJ60SDqR6Qf5eCbQ0cV_n8AbdbEDFg,307712
torch/test/GraphTest.exe,sha256=mIK-hX3Ku7mjwCOD0UNxjH2DGvxtincLlmmzPR52KjQ,355328
torch/test/MatchTest.exe,sha256=09wUQRRaRcCOr27XEcZ8nPGQB3ZLAPXS_sUxP6IBurI,293376
torch/test/NeuralNetTest.exe,sha256=YoVS_31OwXuASmw189RiK33-cA5wmPm9Ag_UE6rPheU,329728
torch/test/SubgraphMatcherTest.exe,sha256=RoMkH3M6YuiXwwAGKn8t_GruyyrN5lA5fGkGriC8atA,387584
torch/test/TarjansImplTest.exe,sha256=vhntaZLFt2A6raXUc11o6nxwfaG5aFo0CW0DBqozwmg,323584
torch/test/TensorImpl_test.exe,sha256=ZQySYuOC2_HrNJ_zp2TOEy-4ChyoKaBc2wQGxL_OMmk,256512
torch/test/TopoSortTest.exe,sha256=nIwCrfIyK3kujvMSIovRCBdwiQ9yFJqAyfFuFsU3B9Q,291328
torch/test/apply_utils_test.exe,sha256=nGlvOyNft0fo46eN4yT2RI7pWsRfAHjwSr98jdGzRzs,302592
torch/test/atest.exe,sha256=DEF5srWdB1yy1oIkyKivuYbSLCb4SwNHMFJ6dZzfG80,292864
torch/test/backend_cutting_test.exe,sha256=kR75t7tQux56v4rNoPpmgNlriyieHjjuU1Orf-Fzt8U,272896
torch/test/basic.exe,sha256=9GS_Dzo95M5HHTmnhJ0B7ufDo0XZ-f-eivQn6zKQKN4,301568
torch/test/batch_matmul_op_test.exe,sha256=BOAJHjxQm-9F5LAERaEeN0RAEZImrv8IoIjZvBE7Cbs,333824
torch/test/blob_test.exe,sha256=GE1j7YWUtPpzQw3XDdt9yiW3GcCbwzXEBCpBZEPcOPQ,1940480
torch/test/boolean_unmask_ops_test.exe,sha256=Lngj0GcCtvdx5g30eCtRkGcKcD6idaJjQB8LyEYtacY,323584
torch/test/bound_shape_inference_test.exe,sha256=MZ9BpU_q7_Ep1_iu1cyPPujhLk-FGzPk9D_6aPRGZhw,392192
torch/test/broadcast_test.exe,sha256=M0GmNk1lFukdpQRv5jL1qPstGXQQuTU7TjDSFozsaHg,262656
torch/test/c10_Array_test.exe,sha256=UP4oz-2TwFXiZqe6IrRm101Ya_nnsLdtpqKVej1nyOs,217600
torch/test/c10_DeviceGuard_test.exe,sha256=2v2aQS9dpQ7HweXJMme6t647KmKP6mwICYZU_R9GGBI,275968
torch/test/c10_Half_test.exe,sha256=E5gfsGVflfJwODIq_o0wUZ91FcP7KD1pzOJJ1Bu0II8,256512
torch/test/c10_InlineDeviceGuard_test.exe,sha256=6LbmCth975rNHpvDVGogu85xg_zHLkV_txEv5hbqNOo,304640
torch/test/c10_InlineStreamGuard_test.exe,sha256=daNui1q19IZ9a-h-pJfcx8PAlQL7i9rHYmySjFanCrc,314368
torch/test/c10_LeftRight_test.exe,sha256=urKxtr3tb0eqVBZRLE51Rz4Ga2fdtivetWKaLXUwZfA,318976
torch/test/c10_Metaprogramming_test.exe,sha256=RB1HEJvTyWSjjbg8NVwj2iE8l2os43a6b7UZ5KYf2Hs,300544
torch/test/c10_StreamGuard_test.exe,sha256=vi96Vvpd_1L_C7WbGyjdVC6q1agQ6AONvt4AtDO3zw8,217600
torch/test/c10_TensorTypeId_test.exe,sha256=Dmkn_dlJTezG4KLcpyMKarXEoyeKA6aMWyN28HcKkNk,258560
torch/test/c10_TypeList_test.exe,sha256=Y5nlE74Wli_4vdVBGBKnBo8hadyimZufTUdyo77IGhc,263168
torch/test/c10_TypeTraits_test.exe,sha256=aHWdTVAk7DP4MwFVqppkhoxuxvSV__mr9YTrrbYdeG4,217600
torch/test/c10_either_test.exe,sha256=idPbYA-rYSCzZVjePQZdA41Mk1FIx7617_hsqn1FUoE,680448
torch/test/c10_flags_test.exe,sha256=02COXch9v2ZsOWtRJ-iO3ZCSpeEDf-lFzB520oWDMsg,250368
torch/test/c10_intrusive_ptr_test.exe,sha256=XyEiDI8nfDljxEUbwY9fQ8jFfnnB_0GO_1KJ3-MhmkM,1223680
torch/test/c10_logging_test.exe,sha256=FmrmAJqmi_jEQJLARgjQUeWxnjCimNkP9KIYgCtveS4,297472
torch/test/c10_registry_test.exe,sha256=GxDsicCHaJfFYgFgpuXR0akkMi0vxBD9xAXpHYZC2AE,288256
torch/test/c10_tempfile_test.exe,sha256=aVYM8tx3IuME8N39puOUSodvjct0ubbubnBMdOySFu4,217600
torch/test/c10_typeid_test.exe,sha256=GizsAIUxizT54mQxObr_H4aGQwJS2GH4mV_qP8BJUhw,300544
torch/test/cast_test.exe,sha256=DDeEFqGxMWbfND80h-QNu7EreH-ZrUetd57LQkjDZ0E,1176576
torch/test/common_subexpression_elimination_test.exe,sha256=zae5CVG4RkRj7C_ifKYjXrFtHq59F1Rk3rbdv5I9FVU,335872
torch/test/common_test.exe,sha256=W21CIgc3V-TmFRa1nc9DyMcHtoVR01t1F5gJ8xIYGY0,261632
torch/test/context_test.exe,sha256=ffqah1pLWaduNLYXx5zm1p7LcRZKp2wZ-czV3W5bBVQ,265216
torch/test/conv_to_nnpack_transform_test.exe,sha256=E0M_d4LZsrFhvvYZtbA-Kfj9bVHFvTlPVlEE7kk0SJg,324608
torch/test/conv_transpose_op_mobile_test.exe,sha256=trtM1Qg88huMSgu2oh_2aMtL9X4pKhaisNoddUN_Hy0,272384
torch/test/converter_nomigraph_test.exe,sha256=GqwzYiEVoFEMR_X9ckTOPFIpcVjhp_NDvrOQWYRNJ4c,297472
torch/test/cpuid_test.exe,sha256=LTMqTGIASB24lJjcC8A8BQiZakmVuVcbG09b7nPjEIA,231936
torch/test/data_filler_test.exe,sha256=Lm9vPqi0cowREFPQUYTg0u3kcKYX_O-_Kf2xKb35ISU,320000
torch/test/dead_code_elim_test.exe,sha256=wLf3JSBtGDhBE5rwyodJFQs3qF5pfAHA_WWY8AKu_N0,272384
torch/test/device_test.exe,sha256=zHnPHi-cEmFKf2Ljsc9druye41C5bPuteL2jirdZSlI,279040
torch/test/distributed_test.exe,sha256=3HmdBcTbe8GZgoTctmmJRicP4Tt6QoTHD_P7voG9EJ4,300544
torch/test/dlconvertor_test.exe,sha256=w9QegZxlgI6-XCKhDunVEffdnvSc7Np_MrKXuMgbyHk,238080
torch/test/elementwise_op_test.exe,sha256=7OhxKFHH57ntxAlUFYjvj52P2SE7EuI_98wqnvUXVHk,368128
torch/test/event_test.exe,sha256=HvzExR6sPSAVdKnivNV1rEnTqIAMjUWCkgaQCuHAi24,233472
torch/test/extension_backend_test.exe,sha256=MaNIZ_qqu1fb9PYcpcp7eNXHoJe6J7M5QkzHuSrXTmw,284672
torch/test/fatal_signal_asan_no_sig_test.exe,sha256=ZsyXD05fm3QMLFq9xJN8YYvUEcDRgnVSqJHYL-qMrMg,218112
torch/test/fixed_divisor_test.exe,sha256=d1xrwjYFG7bPQuZxeQiMeewQTLtkIMvbCipBSZQhPBg,254464
torch/test/generate_proposals_op_test.exe,sha256=bic0eTvZH2_MD6tE6jW73JOJkAN2a4TgrWcKmc-LGRs,451584
torch/test/generate_proposals_op_util_boxes_test.exe,sha256=RNlUscflFsCKs8CMAbA39j3czrHtorFRNWxPeWd3ucY,342016
torch/test/generate_proposals_op_util_nms_test.exe,sha256=aBUIIVuQVgdIrv4P0zC4xTFRYhpLlsKjngeaoO9P05U,490496
torch/test/graph_test.exe,sha256=bYyGk-0Pk7HoJvtxtXysh0tgLGSliMYcek_GWmv3LoU,388096
torch/test/half_float_ops_test.exe,sha256=s6DCuyD4AVnZiEwaa3PHlD832E_KiteISnQbRZorm3Q,336896
torch/test/half_test.exe,sha256=GMuRlbHhwu-5AU0VZWtZ6NTEelJ3q7rk9NtsLHXoL5A,318976
torch/test/init_test.exe,sha256=YvlmJMAY9oTTLf3Vz5GSVYP150d3Ys7unv_10s1lbTE,239616
torch/test/inline_container_test.exe,sha256=7XpAT0yCzBS8coCuvSwLP8vKaYSpI07tVetaOXoOOJk,279040
torch/test/kernel_function_legacy_test.exe,sha256=Uj9xl-mkwGAtYouNI4FCXcDqJ8gQhIOyrqURsohJLoA,713216
torch/test/kernel_function_test.exe,sha256=Vz2FAnJhWmFsP4M3KKfgwfrIoYhzzC2xKeuH33VbQC4,756736
torch/test/kernel_functor_test.exe,sha256=dm1IVRHY0pv65U1f0mqyd-f4RpAx3dvTzNHHoMwbkew,761856
torch/test/kernel_lambda_legacy_test.exe,sha256=KzhqC1KMfNjutRx68olj3fMLjgmnLUgWKZ5vmA7fAOg,799744
torch/test/kernel_lambda_test.exe,sha256=MVTeGcarJcrf7hoKxldD3xfaukjvSYxxOMUiUeczep0,845824
torch/test/kernel_stackbased_test.exe,sha256=kLaCqvwiIV17aol9Dd1nMjj7OJP-eTGZ0Egw_VmIRos,376832
torch/test/math_test.exe,sha256=8uAU58BSmG09tyMdYcJo5Cm0qQ0017mEdILAQdnY27w,361472
torch/test/mobile_test.exe,sha256=e4LC9DUix9Pn_HcLWg1vVN8nn1RcxUeHhI46oExX_Qo,235008
torch/test/module_test.exe,sha256=SS05nbiBAhmQguWTftpv-xnL7UGaVB8XFnjRUvVg2Rc,339456
torch/test/native_test.exe,sha256=_SlTcmQxBwDXo9mF6k9JInjrHE2gqd6PObZD7qzb9-s,314368
torch/test/net_async_tracing_test.exe,sha256=3X5bpirE0fwzpvyJG6-QwUWHS5nuJdPHL5o6GBUqAYg,312832
torch/test/net_dag_utils_test.exe,sha256=cqnsFXnsiyDCnj2kHufp_Vk1TdpCBVj8tkoP3Ajk1NY,1265152
torch/test/net_simple_refcount_test.exe,sha256=bT0gIX_xCpA4ke-gm0ddRMnPbgsz_3GuV8Hcn90Ntig,347136
torch/test/net_test.exe,sha256=OyskjT_YA8jLY4QsTlZABIxo3sNJJ_u1-8aFJGzJu9A,446976
torch/test/observer_test.exe,sha256=utUD1k_1tbwWCuRebIsLYyEygKHtlB-7O_ecftC1AAE,347648
torch/test/op_registration_test.exe,sha256=225HlTomLjGk4rbdZqyhGwAbPh6AeruT5Da42uWgJpI,733696
torch/test/operator_schema_test.exe,sha256=FRPsAHb_FtxI9WdHAIEwGEhmUVOgRWRSM7X5VGjscIU,1299968
torch/test/operator_test.exe,sha256=uQS79H6iAIzsDLEh2BtOXfMqcRTWwi5zZ9C_6LZCkRI,1413632
torch/test/parallel_net_test.exe,sha256=3eeWZaqNiF09R6CGpSehMMHgmO9ousx5_YN-RzEY7qQ,342528
torch/test/pattern_net_transform_test.exe,sha256=F0eA6iYeyYo01L9McQypXyLVTcEWLB47h9lSmv00YeQ,445440
torch/test/predictor_test.exe,sha256=p0XSpO9Ww944V5iFFPN9vaVfR57NK144cUX0tpBWaQM,338944
torch/test/proto_utils_test.exe,sha256=WwpkYiL1r4GbS6zWH8uPoMAFu3r20rldQ6rEdRdR0bM,281600
torch/test/quantized_test.exe,sha256=hO1t08pXo8uF4D-CbD2e-BuzAYZmevALUPzHwGmDBsA,285184
torch/test/scalar_tensor_test.exe,sha256=w7AQ16tFEMARxM65EsURkJ3Ym6zq0OAfPM8n-rA_mtc,301568
torch/test/scalar_test.exe,sha256=6o_bdUOt-YCqT7bskGlnaP9Y46mVL2VpIqjz7QRT6ec,299520
torch/test/simple_queue_test.exe,sha256=yvw0OUpxmRsehoDkZ3ADraeM9Jedx4WDGND_0PQBZcI,249344
torch/test/smart_tensor_printer_test.exe,sha256=NKUp8UMK4YDsZcu2vz_jtc7Lwux4zh0bOUZcm1JAZTw,220672
torch/test/ssa_test.exe,sha256=iSmOM_njoJgao5H2_M5AryOKHgjSrDiwj1M_23RczJ0,276480
torch/test/stats_test.exe,sha256=rzosDZHBZehHe-nUkj0b3nvNX-bUXDq1V1RQEjaIbiI,299008
torch/test/string_ops_test.exe,sha256=eiulzJEcVksH54_fNJvrDnmxxbzpxz3CY61a8QVAs-Y,352256
torch/test/tensor_interop_test.exe,sha256=6oibkSEIRuALCfG0ip9MPMO-fnTowwtXx5LJrOMEob4,381952
torch/test/test_parallel.exe,sha256=NgqsliAoLN6yX_2Ebf33T_RIXzQcY_2-0_wkI7p6IYY,247296
torch/test/text_file_reader_utils_test.exe,sha256=Yan9xxjt5Sb10UVZEiMJZSVy8D3qSFkgjhfjLvOy1o0,291840
torch/test/thread_init_test.exe,sha256=psNZwJUq3YBK2x9IMwCcrDjqoi46g_D8rZqoFnwtGlo,24576
torch/test/time_observer_test.exe,sha256=sFRMwWgBVVwjs5_qYacfr6IIIe1P3ncdGnYcys_QWoY,315904
torch/test/timer_test.exe,sha256=FN5YJuBmlK3czXVnL2JK5DbqMe2I6z-8LEOKIOAEevI,243712
torch/test/transform_test.exe,sha256=5vne4yGibykW9F-BJIisQ9V4u-s-tx4lPOShLk5deGk,412160
torch/test/undefined_tensor_test.exe,sha256=Pw158LLpAUHyqeo_FUrSFIoFDAHdEWqGAi-k09pJUZo,274432
torch/test/utility_ops_test.exe,sha256=toZIGWEXOvubwhUKQDoHtI7KTZtHAF4quPw6XBjQA2I,316416
torch/test/verify_api_visibility.exe,sha256=82KYmz3OJC7SgxZv3h5X0dOl92NDKAgqF9DacLhlqnw,13312
torch/test/weakref_test.exe,sha256=hdZ2HJDfZj6Lr_KkZGo4UwtBBZZtzAEtv5cuYnaU6O4,270336
torch/test/workspace_test.exe,sha256=KX-PLKchDkAnedxtTsm0VtMKOswn2tPaVkLfvMW-Uso,366080
torch/test/wrapdim_test.exe,sha256=_JH5q2uRYPOvlsXlrSh7ClbP5tfZJ5DlOvq53O4bqsc,265216
torch/test/xla_tensor_test.exe,sha256=pvEmJHxFfFrpESqw6LLcnPB4VFL83bjhTavaPml-Ft0,240128
torch/testing/__init__.py,sha256=54d4AEnOXlGr1TfB-1VNtXhm6l00MqFMSBiIuFEC6SY,4113
torch/testing/__pycache__/__init__.cpython-36.pyc,,
torch/utils/__init__.py,sha256=msv5OhqKDKdkBk2GKs6p7RzxWExgRK499n6wmYD3sr0,84
torch/utils/__pycache__/__init__.cpython-36.pyc,,
torch/utils/__pycache__/_cpp_extension_versioner.cpython-36.pyc,,
torch/utils/__pycache__/checkpoint.cpython-36.pyc,,
torch/utils/__pycache__/collect_env.cpython-36.pyc,,
torch/utils/__pycache__/cpp_extension.cpython-36.pyc,,
torch/utils/__pycache__/dlpack.cpython-36.pyc,,
torch/utils/__pycache__/file_baton.cpython-36.pyc,,
torch/utils/__pycache__/hooks.cpython-36.pyc,,
torch/utils/__pycache__/mkldnn.cpython-36.pyc,,
torch/utils/__pycache__/model_zoo.cpython-36.pyc,,
torch/utils/_cpp_extension_versioner.py,sha256=-ydvKYxOizArKUcMnQYAX5DJjnS1FDWLh14s0DWE5os,1909
torch/utils/backcompat/__init__.py,sha256=STT5jhDybhI8qgMmKt1Kh1J73x8DXxcD27LrWttMjjE,696
torch/utils/backcompat/__pycache__/__init__.cpython-36.pyc,,
torch/utils/bottleneck/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/bottleneck/__main__.py,sha256=HXnonF0VsF6c6SahZbZAafAufvtl_jWwvGuoMKclnJo,7453
torch/utils/bottleneck/__pycache__/__init__.cpython-36.pyc,,
torch/utils/bottleneck/__pycache__/__main__.cpython-36.pyc,,
torch/utils/checkpoint.py,sha256=0J5Jr1VFj2e7TvQy1orV7BQkl_4dvlcR3JfezNGPqXs,9802
torch/utils/collect_env.py,sha256=CgZOWKjN6Oqz7jvHp1ElIMY4SGxFoNmm-X4xoMJHY0w,12797
torch/utils/cpp_extension.py,sha256=5o-UEHE2mLeT2ZOQhMErs1iWAhjt0U8KlACcq8ZlSp8,45984
torch/utils/data/__init__.py,sha256=l41zZogdVb-YneGitbfP_5ndXvyJDNZEIdMSVxiyP5c,341
torch/utils/data/__init__.pyi,sha256=b3A7E53KkJLF2lF7mhBFbM7IqfkebFWzeZ_4fmCy3_s,519
torch/utils/data/__pycache__/__init__.cpython-36.pyc,,
torch/utils/data/__pycache__/dataloader.cpython-36.pyc,,
torch/utils/data/__pycache__/dataset.cpython-36.pyc,,
torch/utils/data/__pycache__/distributed.cpython-36.pyc,,
torch/utils/data/__pycache__/sampler.cpython-36.pyc,,
torch/utils/data/_utils/__init__.py,sha256=WrKzeJuG6vVT8fnrS7n8NKdH8ZXm8JpHfIZ3R6YBZsc,2246
torch/utils/data/_utils/__pycache__/__init__.cpython-36.pyc,,
torch/utils/data/_utils/__pycache__/collate.cpython-36.pyc,,
torch/utils/data/_utils/__pycache__/pin_memory.cpython-36.pyc,,
torch/utils/data/_utils/__pycache__/signal_handling.cpython-36.pyc,,
torch/utils/data/_utils/__pycache__/worker.cpython-36.pyc,,
torch/utils/data/_utils/collate.py,sha256=qaUi6E1_AzTPdUO1XvARovECxUGdAnFrtXuPLC4d8vg,2868
torch/utils/data/_utils/pin_memory.py,sha256=fqKovjTODdAZwYGxxbOIePuM79iggduaYlLYlKDLD7o,2237
torch/utils/data/_utils/signal_handling.py,sha256=Q3uG3tCa644hCYGakpEScuDjQUHFcaP59rRccIQw-B0,2983
torch/utils/data/_utils/worker.py,sha256=C1ZKeciLa5a4pgfBQN8GFLwo6DADrGKkjIUgE_gZ9ZA,4308
torch/utils/data/dataloader.py,sha256=pLxndxvnA8mbB_Q49LIGqwwNDlstuI-iT3agHyhBFe8,33938
torch/utils/data/dataloader.pyi,sha256=x1OHSi4D7IsIPFVe4IGp6-tB9vA-JIxtZNwl_-mza9w,1803
torch/utils/data/dataset.py,sha256=qQ7IXPkfZcwLj1A0qkdbmqNXcmwTwS5_S_RBrTBSKGE,3855
torch/utils/data/dataset.pyi,sha256=-PX64bRb_IdIQ-HYDYZre_bi7Sq54WI5y90oXldnt5E,914
torch/utils/data/distributed.py,sha256=MLTWrnC91CUfHJDbP8whRgS3sYjkd1MtaOjEVEpXXS0,2220
torch/utils/data/distributed.pyi,sha256=jxFUlXj1OjN2FamsU5fiUGOb7dNs7z9i6GIGTDH5cnU,400
torch/utils/data/sampler.py,sha256=rK0FOHaOoB6UOup2AN4i3b4PAEsu6B_oFrQjXuMjIes,6993
torch/utils/data/sampler.pyi,sha256=ehtDjV9MA11ytYtM3hUMM5vD33JyK3NPja2Bnolrf24,910
torch/utils/dlpack.py,sha256=9WKhG0Znu8iPMWxS1V-9p36T3Q2g04Zr8KrLN1bHgPk,753
torch/utils/ffi/__init__.py,sha256=Gago9vufqBH9YW4saTFTic2x017dS1Awh-J4PSkO_pg,88
torch/utils/ffi/__pycache__/__init__.cpython-36.pyc,,
torch/utils/file_baton.py,sha256=wHaPYdzE0_Tdxld7-wZ6bHzM89libDUbuYfysScPBuw,1669
torch/utils/hooks.py,sha256=mFoYLrx3YpDfEfWX322hmMBhv1FplKim5-NKBD3vqX4,1985
torch/utils/mkldnn.py,sha256=-p_-vfAVkYCBYEcOSPk06zlia8q7mCDIpwz0ySKtBgU,1489
torch/utils/model_zoo.py,sha256=IYGYw6RMBc0ZkJbCnYnSHMScUIJIstopRVNiByTeS6E,119
torch/utils/tensorboard/__init__.py,sha256=o64iPHnA1Hqlibw3JOp5A9MLgCK0zeMPo1Aj-AUns08,345
torch/utils/tensorboard/__pycache__/__init__.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_caffe2_graph.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_convert_np.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_embedding.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_onnx_graph.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_proto_graph.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_pytorch_graph.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/_utils.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/summary.cpython-36.pyc,,
torch/utils/tensorboard/__pycache__/writer.cpython-36.pyc,,
torch/utils/tensorboard/_caffe2_graph.py,sha256=4Z-uZ-OQPTue0WN-fyeU4Z_fL2nG7EbEfCebonPFZKw,27383
torch/utils/tensorboard/_convert_np.py,sha256=vgLx5k7LpbaPt8Ma1MmdybhVxb8nH5ao2qkWarb1Exo,1060
torch/utils/tensorboard/_embedding.py,sha256=RvlmK68P4Q2gYjCYBUgmFBb5XCRJELFvSfFIT4n-ADw,2641
torch/utils/tensorboard/_onnx_graph.py,sha256=56B32i9Y9AvePc7k4ruNtWh66QmFig_9pMaI3KUD7eY,1819
torch/utils/tensorboard/_proto_graph.py,sha256=Qj5VFoJW3cRNYiCC_Z445vWRjoQZFZMD4tRqCsf19AQ,1736
torch/utils/tensorboard/_pytorch_graph.py,sha256=kBy0_izeYqzIOaVqYEKSCpSHfJCHIqk8WGLcNMP3XrI,14072
torch/utils/tensorboard/_utils.py,sha256=qwS4nijeBCaIYzdnjVsICHE6uWgfkcTEFOy1FdoF7YQ,3883
torch/utils/tensorboard/summary.py,sha256=pSYXRjwP_NGFHP1-cFxYHGFaZ3OeTuymnwOIzoVFPlY,19627
torch/utils/tensorboard/writer.py,sha256=Oi76OC_GooYXI15kQlljAVbloCELY3WiGJb5Mdp1s8s,35011
torch/version.py,sha256=-Hv2fw8Amo_ERFGX_0ic2vwig3wMBJwmiXhoMpOETyo,109
