Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Bower components Debian packages RPM packages NuGet packages

neilisaac / torch   python

Repository URL to install this package:

Version: 1.8.0 

/ RECORD

caffe2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/nomnigraph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/core/nomnigraph/op_gen.py,sha256=6MdsmtgvvAqBVsLdu8UUd5ESD57NIgCnLKlM0ndA_z8,7563
caffe2/proto/prof_dag_pb2.py,sha256=hFLxdp5ZiNXzuf1oG23r65-NzgqSXDtsh3WkLndMYTo,12418
caffe2/proto/metanet_pb2.py,sha256=6JkiuVWgd-gLMA_PEf9Ray0BgtXF7R2Lsj_-gf4gP6w,15550
caffe2/proto/__init__.py,sha256=R_wGqgVfEEk7RvBNWCSmb7XsCP3D7nuA4U5618Dc7Rk,782
caffe2/proto/torch_pb2.py,sha256=7X0AlODUK0x7pWKAlaWrZGb2mm5O1z4g9UN0NTtFIBU,21797
caffe2/proto/caffe2_pb2.py,sha256=pSAa_LaWPnHntsYdEHbtejkcm4cdhopORF80XLsna3c,79366
caffe2/proto/predictor_consts_pb2.py,sha256=kyKOTHE_FKXUxRqHuWdulJ3TBvKaDLQXU9eJ9lYRoNk,8362
caffe2/proto/caffe2_legacy_pb2.py,sha256=Zgx_sqh5xB6ZnJP3DrKLJ54Xa5k5p7-8WUq9YOJBtTo,5489
caffe2/proto/hsm_pb2.py,sha256=cIST5GHtlvM3HPbFuFRpZOK-FPB5pQgqLEbBtxYIZQE,9928
caffe2/python/filler_test.py,sha256=6uMccNyq97rzjpD3v3okbXTPuRAMGo9f7GAdBCjgcpg,748
caffe2/python/optimizer_test_util.py,sha256=A17QwfGvGSyk7Y_zRmNZFAExivP6MQkXeVsOUKJ67PQ,9187
caffe2/python/muji.py,sha256=AD0Y4l8SX_uhu7LuGBRwgBvFu3d-cI6KuO0ioEiX7z4,8131
caffe2/python/build.py,sha256=BkSr9kp_EqK2xNo2n2LgtFjSD9YNyNO2Qln976Y-Zs4,153
caffe2/python/data_parallel_model_test.py,sha256=iDBPxEx8JiVDOb9HIMvue0S0ohhwc7JrzYGPTB2SxYE,56145
caffe2/python/transformations_test.py,sha256=5GwrRu1IrDUn3pdlo8eEj1muOsn5GRYjb51xfxKWE10,11960
caffe2/python/numa_test.py,sha256=1PLj4c8M0kviXnneNNroDK-uTFJNwVrXCmGNhu_vfXU,1663
caffe2/python/layers_test.py,sha256=xh4jr-SsA9AhUq8ebItoIXzf-adYZoBgNR4ekx6tNI0,91430
caffe2/python/benchmark_generator.py,sha256=IHDio-s5uSVvIclG1u-rSXDZvsuEUYgdv35-glArVJY,4911
caffe2/python/gradient_check_test.py,sha256=nl6ZrgFrAb6FaLax06gUrVloYPpH-ahb-8chP5-DP_I,20638
caffe2/python/attention.py,sha256=rk0O1ljv6UouwnwM8MbW-Ue1xx13VXZ3nhDj1P3qNd8,12359
caffe2/python/task.py,sha256=vbDZNe6dWybiEt7bE0grdnXEp7wm8Qzb8-_9nTq2onk,24274
caffe2/python/convnet_benchmarks_test.py,sha256=WbrFWANBSAL64vnzmOR1upGuUqmUsVrQ-wUTDaZlPUo,839
caffe2/python/optimizer_test.py,sha256=Uq-bXgRiMroWHMTOlXxl1AlVHEszqZNpaCjhIFVvBvU,28845
caffe2/python/fakefp16_transform_lib.py,sha256=oxz2OA1mPmGXybohJwKxCTazmWAou6eCsc5JnRNYk_M,322
caffe2/python/optimizer_context.py,sha256=xSOVlzsAivK-LkWHF1-gkmKJ5BOQSZDWUtRmvuwwmf0,1462
caffe2/python/caffe2_pybind11_state.cpython-39-darwin.so,sha256=17yUH9ntWKrMiEL0jXUXYN1RHIsse2w7u4T4gFzzCPc,49964864
caffe2/python/scope_test.py,sha256=e5w1lU1uj2tPfmGk_STjGyo8xfYaPhVIEnJS8EPZftw,5249
caffe2/python/python_op_test.py,sha256=YeBAlvQmsMjaENI0WCIRybYUBlL6Vi91YdvOJZ1uQj4,9169
caffe2/python/hsm_util.py,sha256=a3ByKXZscQy9N_xydDiTUgujWbNugXOxVInHBd43tiM,2259
caffe2/python/pipeline_test.py,sha256=x3Uth5QBovlqfR-nK74L_A132um3Qv3GcNWhFLY1_rU,2542
caffe2/python/memonger.py,sha256=RuykSGFBq-GOq1xRG4Fx60gnLmXwJ2dhyQ8pnY03m_c,34038
caffe2/python/regularizer_test.py,sha256=2DPJPyW4FkGuxMpl4u0QiaZfPSGxpmyMQDop745QuQQ,8410
caffe2/python/parallel_workers_test.py,sha256=Tr1jJFWE1bWnk7e0Gemw8zpYBRRJzSzT47UNmIuz2G8,3501
caffe2/python/brew_test.py,sha256=VHMPY56nd7sbmrsSmHyIJvsrjO5ZTO_-Nx-JPboQEZo,11739
caffe2/python/layer_test_util.py,sha256=e0pdpff7JiTQkP_pGYPwOnZPiGjS_urxJI1YylQL5rc,4776
caffe2/python/model_device_test.py,sha256=fMDsB0aT0eHYmbuO0CR2rXe4AdwsrtUrOSy9oebVa4U,4777
caffe2/python/net_printer_test.py,sha256=TLOH6PPiomjvvuoXGPcDlV7zdJ8jrQxICE0HSoc-WH8,3190
caffe2/python/crf_predict.py,sha256=Yu-X8PCZrkOfNu0OPcCw5mXqaSHcGnf4SyYrrOQw6cs,1159
caffe2/python/dataio.py,sha256=PTeoCaM-pHjfjhamzkKPyTvQG8ZjlJYNm_N4eXi2Ba0,23532
caffe2/python/utils_test.py,sha256=qaEyzHIrkNGXtqqLcgB2eKI6UlMBCUH44XzQ0oDPn6o,1399
caffe2/python/schema_test.py,sha256=lmxZQF6q0McZG-kfDv-FNRK4PZxoDaS3y54DmcIiROg,15754
caffe2/python/checkpoint.py,sha256=-6Lz-Iu-Vmz2WOmJDcV91980IO9hbUcGM8WrNgBpztw,32101
caffe2/python/memonger_test.py,sha256=9Ya869-hFXOLQY0einAOrhI9WGWntuQnuhA7c3owP-g,36910
caffe2/python/transformations.py,sha256=eqXfV0xTgLKK6Ea3GW8FcLAxWYHxjk_LOnkZanx8ygE,1832
caffe2/python/parallel_workers.py,sha256=oOcosZMMZ9xRm6xrkW6lNpyvUSiCC7gcXKMBeGcxIsg,7682
caffe2/python/hypothesis_test_util.py,sha256=oOTwjK8hdpSLSaf-mVs3w6NJ_tqtKNoxNYgSh0GBUYc,26853
caffe2/python/sparse_to_dense_mask_test.py,sha256=s45Up3_rXhYo8KrIoyn08vbBonXvSP0ZnZoLR5nDrbs,6565
caffe2/python/crf.py,sha256=vqE5-TiFeOe4ECeT5xtlJfBr1zczl-I9v3R-qapYCSQ,13250
caffe2/python/operator_fp_exceptions_test.py,sha256=KE8j0Vfd2h-gBqZGwPpmRyi1d3hXp8j3WooZnXTBMdQ,1248
caffe2/python/control_ops_grad_test.py,sha256=cyV5cAg2J6iIxVElDEQbDqFp948uvibmJjAa97C0J3M,1752
caffe2/python/recurrent.py,sha256=ZIhunAKxVJwN_Q6vOKSvGdG7FO2JTmx8WHUB1hdgJf4,13297
caffe2/python/sparse_to_dense_test.py,sha256=Q8wYT0tzD7fEoOQXTQel9uNN4WnhYMruImwfO6WlNvs,3556
caffe2/python/lazy_dyndep_test.py,sha256=6Z-zn8cyp54-6Wq2rEKhJX3vrgu0IgUmizrJ0kgl5Us,3913
caffe2/python/regularizer_context.py,sha256=9My7SNzub6wzdwn1xAN9j6l4m1_fVGvX3iow1wYqE00,1013
caffe2/python/functional_test.py,sha256=VFq4MPv9DlbR9gYeiKa8crC9p9PwIgBV7KtrcyHcHmY,4204
caffe2/python/lazy_dyndep.py,sha256=XjAX6emncsHvq0B76DYpgY6mVat-Q3ksHfCXHcQV4s8,2562
caffe2/python/convert.py,sha256=hzs15yXHKk9vUltFboysX9QNz2JwwcN61EX7TNVryN8,60
caffe2/python/control_ops_util.py,sha256=aJuGljuZCmf5F38AbcXFDLjFzwyj8DxPx3AMiafNh_M,10863
caffe2/python/control.py,sha256=mPC27PKjNtj_gVqvuN9NOzKDOiNa2deAPMKoqUFoDLo,19309
caffe2/python/allcompare_test.py,sha256=FaVPxJXTQ4cPE1EhYTj-gX5lti8baTgOW0NibjZcodg,2254
caffe2/python/timeout_guard.py,sha256=19d4ByaWzbyurlcFb7W13V9n3N1LEWK_2-5yzV00HME,3753
caffe2/python/modifier_context.py,sha256=tJprBSAqhMfmZt35CGOvE1BAzWrJKtdrYi2fcazg0W0,1772
caffe2/python/workspace_test.py,sha256=31rRj16iUBYEKbyHitL_en5dkWbbgqFSiFTy65bvFjg,32714
caffe2/python/lengths_reducer_fused_8bit_rowwise_ops_test.py,sha256=7bW55HsBqH5ggBs1Vv4Lifw_AziLWYUXUE6sVyVQAEU,7575
caffe2/python/experiment_util.py,sha256=HEqvVfBIl_XAvs-Mer-BtMKDW5Qbo3D4ByFp9gL5wE4,3622
caffe2/python/session.py,sha256=Ih33YI7VoFbEXeOfCLWfPkzAGcue_m85vZ2U1ztghDo,7642
caffe2/python/record_queue.py,sha256=kMw10lJWwL551f1Tq-aoAE5y0-mzvyA_bhKkmJ7m7l8,4453
caffe2/python/layer_model_instantiator.py,sha256=ZYVLodyTYZXig2qgirkTpzjUpvIY5ZFfRVkpotwJRlY,3935
caffe2/python/rnn_cell.py,sha256=zCw2jKilPDRe1993CS5eB7pbRpb9phQ1cpoJBp_whYE,68233
caffe2/python/_import_c_extension.py,sha256=CnnKBsPSnI7fjvPRwXE-ZkE5fXcyAL5mvy9aq_oDKpg,2250
caffe2/python/__init__.py,sha256=pZl3cS8ho5GQd1Eovlyw1UKl3CReDGhTWnt2U0NP_i0,3948
caffe2/python/parallelize_bmuf_distributed_test.py,sha256=xV6k87RvZqpLB0BpSxxcrVMJy1gMVoenyBoxxlBSp8g,9908
caffe2/python/gru_cell.py,sha256=_GIYE7_a6KYrrB-HgKOHqXzxCRI3G3WLnzoVF3sGr6c,5129
caffe2/python/binarysize.py,sha256=6ar4f8bkTNNT9FX57OnKuJx8OXrWJxd1Wl9TIVpQ_Zc,5521
caffe2/python/normalizer_context.py,sha256=OLy3zvJFY101yXeNWv4fZKC_AWOAk3933o9kiBddm0I,1007
caffe2/python/core.py,sha256=vvxvllUQbSuaKNSmfPPQg8reXRUuPmxkbyiQyNnvQlI,118528
caffe2/python/fused_8bit_rowwise_conversion_ops_test.py,sha256=PjoMas6ykei2rSxMVUnWZOOEXhfymP9dEE0FdOX8xeQ,3945
caffe2/python/queue_util.py,sha256=QkrLKf1Ozld3XcSL1DWwzysz86LyVWvxg19fDva5SpU,4459
caffe2/python/predictor_constants.py,sha256=y8FrQnKYTGSKIPygUmb7WO7gqyryCNMOVFKxzS_sNvg,198
caffe2/python/convnet_benchmarks.py,sha256=LD5JP4rZ2FazN5olcY6hJXnfCD0knAN1yuJKC_Mxkhk,20533
caffe2/python/gradient_checker.py,sha256=NmPl9LmZGUGG-8sCcMKc4u1mgy2W1L_O6qZ5MlumBlQ,15377
caffe2/python/hypothesis_test.py,sha256=b1b9H8znZk97t7EKNW7tjroM_DOXNDxkZWLClxrvh4w,105859
caffe2/python/visualize.py,sha256=SF6te8Ih911UvN4V_MBrwpVLbdNfRC4wiumbe-Yg5Jk,6315
caffe2/python/checkpoint_test.py,sha256=xb8L61iF_U-4fjrcIfRrcGcLwc-9cytq6YTqPCD0bh4,13405
caffe2/python/cnn.py,sha256=AL5Gt-eBtagClLTc-1-FjpWg_pRnGsbhUocG8lrGUyg,7626
caffe2/python/test_util.py,sha256=d3K9ZkX0IZy48KWa8tky0PHTgvx5WgAVNs0Vliwb1yA,2713
caffe2/python/control_test.py,sha256=cvN1hHkdZXrBcKU9zCvBqAsMlApWGo2m7Ceg2EO1rXs,12276
caffe2/python/embedding_generation_benchmark.py,sha256=ggC1YqHY6bXV9hWTJ6KbTtl8OoaZj9-4sRpsRn0S248,5256
caffe2/python/normalizer_test.py,sha256=YRzxu-6Enb6jTV_zspKXLZq1Y1SAuQb8C8ghubhqH0c,487
caffe2/python/db_test.py,sha256=uWQq201rtbRlNx6wtyIr_ZTs6xBm-4w_0zNA4ilA8g8,1110
caffe2/python/core_test.py,sha256=32Pn1MJTSgR3Mbu1d5Kb5TCbdPJIXLKKf8d5LhN5fwQ,46833
caffe2/python/nomnigraph_transformations.py,sha256=hHCvBQWU932SmaKjQLus1795shGreConq6dmgmvpGgU,3787
caffe2/python/dataset.py,sha256=PhAzRAHW9cEgOARFhNDVU8RSdF2iM1HBEu0q-OzvjnE,12886
caffe2/python/text_file_reader.py,sha256=Su1G9eMY3Q3Pgb92QL4-SrVMzJg7ZR2rIfjQ55qJIsU,1990
caffe2/python/data_workers_test.py,sha256=sbFsD6sA69t3BqYCZlHwB9811nSm7U2TNzJgx3ZZxEw,6561
caffe2/python/mkl_test_util.py,sha256=D65RmpxYPe_6-YzE5hfVbOPrJWyx_aAQMN0LEiEmOmQ,1142
caffe2/python/db_file_reader.py,sha256=OHCPrj5uHcYdRQGvMBjY3xiMxCsbyw7dz82FOEgEXh8,6600
caffe2/python/nomnigraph_transformations_test.py,sha256=wWgzCGPBC0x7kfIMoKyDWOZbo6BSMaFMeq3jovqBFy4,5767
caffe2/python/functional.py,sha256=EZRnLdWDFriuw9DAH0IA-2LTC2g5NwN7HzrcoeLdeCI,4415
caffe2/python/net_builder.py,sha256=9GbZ19PFO9a0l_HzNDQuR4kGVo9cBhQ4ffEJee0raT4,27679
caffe2/python/device_checker.py,sha256=YHhqy2EmNCm5mIngw6NF7xnTLbRR1Y5cKDHSk4P3wP0,5157
caffe2/python/context.py,sha256=3fuis3doLxj6KabemvjkI5FBbZakSrYjaNYeR5JvCx0,2841
caffe2/python/caffe_translator_test.py,sha256=C-D1RvjH2Q_8HLbplTeRnOAlDrfTueQy4eottvX5KDI,3553
caffe2/python/caffe_translator.py,sha256=9EjNM-U_TuOfAhXkZg4eUEC6-tmxtUTUDP3nWkn8Im8,35250
caffe2/python/utils.py,sha256=NBfuktSBRgXtAapsaI92gG6WwkB8Ol5rmTelxKlb3M8,14181
caffe2/python/pipeline.py,sha256=tpPTOkb12AZ9_zZYBu6ND-lS_kiUGwCLiPjsW3MnbGY,17283
caffe2/python/task_test.py,sha256=dBv_HnaaLAuFjXHBlKWFWNq91g9CfNzsG38uHGaV9gg,870
caffe2/python/muji_test.py,sha256=xQ9og0QFLvOmh0owiFselYLYMeO2VBqJkQofttKojfs,3058
caffe2/python/cached_reader.py,sha256=EC2yrsB2VV0eT46Mh258XVQiBdaUcIm0O_Yb9tvvKwg,4394
caffe2/python/net_builder_test.py,sha256=a7LJlpWXW00iGo6b286RqkRV6DVrVmt0XKKWmrlMe7M,11382
caffe2/python/core_gradients_test.py,sha256=QA3UE_XvCsQhSUMDNCOJO1Zl6xLOzwX5bkzC7hNxdBo,38022
caffe2/python/model_helper.py,sha256=bg0FIEkSms33Sgife6So-zQ2gESPxWIgzQaGTaSzdgc,23492
caffe2/python/optimizer.py,sha256=YM42-pNR7VjKM57yl-FCi7cyQAcGdXa6E7pdlFYL75k,72503
caffe2/python/model_helper_test.py,sha256=c3f33gU_0_laNvDOjmCmY5pkP7KkgqQY-R6dN6_pAfE,2336
caffe2/python/regularizer.py,sha256=NhB4ruaaHLYOXSYTPA7x2nxYagSlhTJ3FRQiBynziWQ,20778
caffe2/python/ideep_test_util.py,sha256=SpIURJV0THkCrbJqPQdjc9kdNhRLn9TLOyjB5pTGb5E,998
caffe2/python/context_test.py,sha256=AM5XRjLXd_7clkkc2EwVYQKKg7MZsiaoz6AGW6q1EWE,1792
caffe2/python/layer_model_helper.py,sha256=FvAwe0sKJXaHFuPXbveKfm6mX-UZGRCxzrnF7e3FLBU,29340
caffe2/python/numa_benchmark.py,sha256=lRqNkMYiREW0vfS4-WexZaWpcCA2IBrUvvQq0KIkzy0,2230
caffe2/python/crf_viterbi_test.py,sha256=EIwmStU9xZHiE0ZoQNJTdS-u-ZdFE96utVYtTmwedS0,1663
caffe2/python/observer_test.py,sha256=eiPGZjOQ_ZXI1DPPcYAfsqWeG-_ScSgIn5T0BMqybZc,5316
caffe2/python/tt_core_test.py,sha256=Iwj48al16h12XyWXYj23P-g6cAfoB3x4k6rvZ13Npy4,2518
caffe2/python/lstm_benchmark.py,sha256=p6eWmKFqATHB72J6nV4WsH61h7pk8MFfas8Bb1AmUfU,10649
caffe2/python/tt_core.py,sha256=TBQgd2TJa93bvp2Z4U2HbzXrL_Z3gtm46uikUywnVUE,9349
caffe2/python/nomnigraph_test.py,sha256=j70KYYBwPMdMS5Q6XvGvBrIopUoK12LQY0zto8uv3wE,15427
caffe2/python/layer_parameter_sharing_test.py,sha256=nB-a4oDT5OHTyB8kKG8MS2UnvZw2FIEVPdev1559Aw4,9148
caffe2/python/workspace.py,sha256=j7FnirC8trBNwFwREEr0JtTEikjvo0__r3m8hvkvbxI,24937
caffe2/python/net_drawer.py,sha256=0FBxQJI9E7H5VhB_s33DkGt9ROK7gO1nOqSEOvYwQXg,14264
caffe2/python/normalizer.py,sha256=PJh6UT-CbGxpy2CUDF_Ib7FmabDyHYR4jCj5zKtsmQ4,1411
caffe2/python/control_ops_grad.py,sha256=NVBoiLy2EjFRwp_9ZSX1JwDcURqWnPD3Ig9vm29a3IA,28893
caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py,sha256=-cm6dYG--lx2D5f7BnXB6lNIScYI6tiDgxplzNwZXUs,5710
caffe2/python/extension_loader.py,sha256=olmLIoz6c9u0hVWLB6wSy4epelSAyyvVoWbB5Mbaei4,744
caffe2/python/lazy.py,sha256=s2BnlR7wGJ9Rc_Av_lAhr906LRT1jRLRpHWgADzdqsw,277
caffe2/python/dataio_test.py,sha256=uvNJbILk4q8cfsd2Ici3x3gg6PSg6suXsZNRHIIeOpY,17575
caffe2/python/dyndep.py,sha256=Ggw1PXqAwrSiFdHxuyAKglFtuD2aEsUWgOc7NJh_h6M,1533
caffe2/python/convert_test.py,sha256=1aLrQvVK4t5AtRgwbZLM3ezyuTD3U3AbshAtbTBqRgw,201
caffe2/python/toy_regression_test.py,sha256=YUmh2dDiEkVC32vZpel6glEz3hbqZERcyFHgsofeXVY,2822
caffe2/python/data_workers.py,sha256=Yc8Txvo-KaoUzjhCixfdhP7g4S83LYRC9INGUyJRAek,15997
caffe2/python/data_parallel_model.py,sha256=T0WeGaIGUdkdAfi3i_gTXFBDWjIdQ9C0sSxb-KRKnAM,83100
caffe2/python/scope.py,sha256=odCYlfczLIIUtwJ-IDPKaXLt40SnQVdl3Cw3HkQ8tyI,3623
caffe2/python/hip_test_util.py,sha256=IZnIjxzVbd04QnN5kDWNbM9OoLxGAXmy46iRtnB1arc,405
caffe2/python/brew.py,sha256=0S8Lj12OXKhabQebQvrMkSdtZv83ROMlBZqIA8JSO3w,4677
caffe2/python/net_printer.py,sha256=55_ShE0n36hRldpjIl0ZZl5UVgwUgQNu7KnywBGUo5o,12704
caffe2/python/schema.py,sha256=FrhNYE14gbMzn1f9qMv8hOVA-Lvw8F65NzMP_eeySu4,45347
caffe2/python/nomnigraph.py,sha256=dpcuCMx7czdF6zclH66wI9dseOyal5CBtMdV6BH_F8w,4216
caffe2/python/session_test.py,sha256=b50PwrJ3NLtoNDPWFfdvC4k6KiWnH0Z9Uy6sU-InKBY,2078
caffe2/python/serialized_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/serialized_test/coverage.py,sha256=jow-lBbEJGdmJ36mCoaYkqlCe2-rC9l3fKuv5vaAz-U,3809
caffe2/python/serialized_test/serialized_test_util.py,sha256=kerGvAgnO0PdTM4JuqXVycxuviocQJxjeF9YJKVJaXA,9383
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/sequence_ops_test.test_add_padding.zip,sha256=7ooiax4Ku0fQSzt38q1wHyRn-jT2-ZWfsIuvfxtLscI,1145
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/reduce_ops_test.test_reduce_front_mean.zip,sha256=TemxR1f2pEZIfTkQP7cye2ow2ycgbErrdggEkIGVlTY,6204
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/ctc_beam_search_decoder_op_test.test_ctc_beam_search_decoder.zip,sha256=eBwzzGNNXHSgz6YHnoyZHkvDVL19exYUrKLZxTvAV6c,35452
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/filler_ops_test.test_lengths_range_fill.zip,sha256=zkyvbmGJykp0PVUQPCdb_obs_tJjWTKaW-3AaJ6tUEI,1054
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/lengths_top_k_ops_test.test_lengths_top_k_op.zip,sha256=AbGdfJSYYRd6vCnrOU8LfXNFues4sFbTrz0K_hvdylY,1240
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/find_op_test.test_find.zip,sha256=7wN6MSA_OnfEdILaGdptIapZWDW15rXmiqKr8H0KLDM,1051
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/clip_tensor_op_test.test_clip_tensor_by_scaling.zip,sha256=CRrnLAXvNf48lJIZtu2IWbvujFp_L6Mu-iELlqeTgYo,1174
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/box_with_nms_limit_op_test.test_simple.zip,sha256=DDFSaN97Te3ytxTrsNS4D4bMTyJIu5HkTwtw_f6RW3Y,1238
caffe2/python/serialized_test/data/operator_test/matmul_op_test.test_batch_matmul.zip,sha256=AP0zdDX5ZugVW6nogbdSSn6lknFwSa1RkOjrym2Rijc,1393
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/sequence_ops_test.test_reverse_packed_segs.zip,sha256=1H1-CuRj6HlvQ9pJD5Cdn5tWJrGPQNR_9AtSFSgVF6c,1249
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/batch_box_cox_test.test_batch_box_cox.zip,sha256=A5xQBPRKMOPEDKEHTmxUTjKwuEyKoyFWIawQI_WY_pg,1116
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/utility_ops_test.test_slice.zip,sha256=JO4tAn5UP7CbpCJ9r7U-UH9DJ5sgbpxuBd7hFZ7NeNw,1424
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/gru_test.test_gru_unit_op.zip,sha256=q4KI9Wvqloz5EUQQV4R2hH4PBlYsUGD_bm7KdX9HVFk,1628
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/utility_ops_test.test_transpose.zip,sha256=KZiXXcLpgXuBmAIoQjL4dQZM0pogByUqalEoawSF48M,3017
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/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_front_sum.zip,sha256=6M_VEzPjpg4rRqB0ICgKFRD_RhAkvIspyIDf07gyz9o,4406
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/matmul_op_test.test_matmul.zip,sha256=kTIs8jQ6gHPKsXuZQU9oYrZZok-iHLz6ZcFo8Hgcl5s,1396
caffe2/python/serialized_test/data/operator_test/fc_operator_test.test_fc.zip,sha256=pzObRjUGiJ_DcaPmeAliVqGmoUZDMGNgUqEMieRhGZ4,1219
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/sequence_ops_test.test_find_duplicate_elements.zip,sha256=9cut0FPrhxxEZiplR8-Zp9YpV-iXoEnNlUaDcRku3bA,1048
caffe2/python/serialized_test/data/operator_test/jsd_ops_test.test_bernoulli_jsd.zip,sha256=YExBx4zmB9b8YBMsRL9VTN9gx75M8x6FBMoYxnwzLTg,1314
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min.zip,sha256=xftaB1reUMcjgy3LqQw4bJJ7Xu2Mp6ZNV1NhZuFx34M,3046
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/arg_ops_test.test_argmin.zip,sha256=kVWX1RnLwhcIX4J0-xxPCR_l3UZxI3v990FmRkdUaZg,1061
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/utility_ops_test.test_lengths_gather.zip,sha256=BGQJxe7PcRYLipM1DR_izoYRf2xozfU-Tddwp5x2DvM,1310
caffe2/python/serialized_test/data/operator_test/channel_stats_op_test.testChannelStats.zip,sha256=3gMqJXMzcetK9AopBgQHVyKE7yRZYLHH931zqByy2do,1275
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/wngrad_test.test_sparse_wngrad_empty.zip,sha256=-1f-9kLjVJPwcBPYA3v63lr0xcqxCvleSuuw6iT0HlQ,1154
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/rank_loss_operator_test.test_pair_wise_loss_batch.zip,sha256=XlAAuGx8pMJYfnUwfLqnFR8sJ6xrvGA8aX9K_E0r0mU,1225
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/reduce_ops_test.test_reduce_min.zip,sha256=iaEcBm-xLRoPhm4rkRb5I5I5LgSOx2FIqOBhZQ6RXGU,1224
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/adagrad_test.test_sparse_adagrad_empty.zip,sha256=6Zxzzy9bsiXFQkvsI9SkpRgVqlxpD96-ejk4NuCXKdI,1154
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/adagrad_test.test_row_wise_sparse_adagrad_empty.zip,sha256=QRx8tA6XIGxCGw-eeg6xJh5ZIXbnnMfKwcEs41qj2Zc,1161
caffe2/python/serialized_test/data/operator_test/activation_ops_test.test_leaky_relu.zip,sha256=HZMxe7VExMjqWsNr8v0vBZC1eAJFaMfcaw2h7L6gnW0,1200
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/length_split_op_test.test_length_split_edge.zip,sha256=61mUbPBssAjLHyG_xx7_s6lGm--eyYk5SfdPq6AldWc,1093
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/one_hot_ops_test.test_batch_bucketized_one_hot.zip,sha256=2bIQNZGOI_qMH3v5RhDsczPQCdBNmfPXtiTHVAw5ZEQ,1099
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/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/lengths_pad_op_test.test_lengths_pad.zip,sha256=lYbFwj4o9f66x8lgu44kbHvrFFzdtp3KuB43UFuM7Fc,1114
caffe2/python/serialized_test/data/operator_test/negate_gradient_op_test.test_forward.zip,sha256=0YtxOoJJ4IQJ3PFV7VhSiHvhb7fm2nlBH4h7toaJACc,1161
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/softmax_ops_test.test_softmax_grad.zip,sha256=_Czv8X3aSOJ_bLE85jjeQUbmUec-5DeifsVServiWaM,1052
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/integral_image_ops_test.test_integral_image_gradient_ops.zip,sha256=NMdUTd6gNGeB3ZXntxZ4VqpQv2B6VlAM83ryDM8xOBk,1747
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/softmax_ops_test.test_spatial_softmax_with_loss.zip,sha256=Cd9NtIkiKiBJ_GPJp7BfjC_a1d0fMMgTsaa1XKdRBSc,9417
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_size_op.zip,sha256=PKxgIKTGLQc0s4VEjQciqb5ToTq6fxP-_4H8yYmA5bY,1199
caffe2/python/serialized_test/data/operator_test/hyperbolic_ops_test.test_cosh.zip,sha256=3st32EjOvND8xx5RuRGsLOqQaWH4zdQwQZE5v63fkwY,1163
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/momentum_sgd_test.test_momentum_sgd.zip,sha256=ZqmHeiHCU-gnfoGLdmv5bwvduo9icuQukb1_QEOJczw,1187
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/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/sparse_ops_test.testScatterWeightedSum.zip,sha256=zFC1_193zoJDeQ2uq9iUAz5xLFzbC35pyv_FzBXaGx8,1128
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/expand_op_test.test_expand_rand_shape.zip,sha256=odVZ4oLkxZoJ-9iobXA2s8KwBVyYvPUkzA6TVicRD1U,1191
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/locally_connected_op_test.test_lc_2d.zip,sha256=sdNn8bAFj8I3RX0bfDMzJ6H_2LndJwd5rsHou0ClhB0,1277
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/ctc_greedy_decoder_op_test.test_ctc_greedy_decoder.zip,sha256=ckytqESLL_lc-87B16fdgQJIdRL4VtkSVUJVFfE8Nz4,1133
caffe2/python/serialized_test/data/operator_test/conditional_test.test_conditional.zip,sha256=G2spFge7O7UcaKU2zmjRN6CgTk_tCzMFlq4vR8Batxo,3409
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/erf_op_test.test_erf.zip,sha256=yMa4Zq4qFDLmiejwLZwynfCnyb7B3cTr2pdqCJ0GiiQ,1156
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/string_ops_test.test_string_ends_with.zip,sha256=YPl2KXjD-HkxP8A0CKPyi88IopHLdN7xvUq34wyrkdg,1040
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_lengths_to_ranges.zip,sha256=mLxcaYbTF27GuzCtfU8wdKbRejqnC9hh3ZO2jOnNZks,1209
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_sum.zip,sha256=GGYC_zJMc_JGm5QkE1R7G1Im2j2GaY-Zv_OYwbomBFg,1352
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/softmax_ops_test.test_softmax.zip,sha256=fyiX8nVAXlI8SI2aQicFDIwE5RHfbX_QH8vyEgtrVYg,1176
caffe2/python/serialized_test/data/operator_test/adagrad_test.test_adagrad.zip,sha256=1ZbDnwtLeOzzeYVnpx43fIRM-5uk4H8RMmQa34FMhnI,1121
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/reduction_ops_test.test_elementwise_sqrsum.zip,sha256=aLG1ClKG2sYsMK9wTL_Y2PZ8ErAeBE6x4zPbAjCGvms,1042
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample_grad.zip,sha256=8HAXSrDG4AbvwxFL2LPyf5ZsDeb6acdpi47E71VnUF4,1314
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/square_root_divide_op_test.test_square_root_divide.zip,sha256=fxdOZs3Pxv3Xu_Sw-3ciFPy7DdsQN2SJp3Y5pSe9nok,1223
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/utility_ops_test.test_elementwise_max_grad.zip,sha256=4UPgqLggzrmfOBY-hxsRNGz_fgylhR2TXnfOWVRpTKc,3618
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/elementwise_op_broadcast_test.test_broadcast_powt.zip,sha256=IZlrYKd4_V_PlTNQom3NbdL9l9R0AafZ6aAhAB4iSB0,3427
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_unmask_test.test.zip,sha256=ZytLFc0bkCKH2GhOWKpV6MVxTywollU60q9c3aKUe4U,1092
caffe2/python/serialized_test/data/operator_test/upsample_op_test.test_upsample.zip,sha256=DKP7pAb0QbNysUrXcuXeYQOTOIJo4XveL4byCPj-hKc,1406
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/ceil_op_test.test_ceil.zip,sha256=ajA_0DrHszON9mOmK-2TnFn7kPTIx1D57G4qXh5yvo0,1029
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/hyperbolic_ops_test.test_tanh.zip,sha256=W1d_DeS8s-5r2miES-ICBIFxbPYTIMlpWqvXRt84_eE,1162
caffe2/python/serialized_test/data/operator_test/tile_op_test.test_tile.zip,sha256=6ruH9v7k6HzTThAPu3FQ6PvFTxKiXSnaxmaFbdIwPn4,1213
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/wngrad_test.test_wngrad_dense_base.zip,sha256=wf5uIgPLIK4fcOLrUCCALzqohnalD2wcI1giuM0kr7M,1123
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/utility_ops_test.test_elementwise_max.zip,sha256=yWKjwP0SKs9mFtcBg4d8XmC8DTX7DyOmxrDH1OHeCR4,3010
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/transpose_op_test.test_transpose.zip,sha256=1-ZJs303U_gsnWsd5-1nuAAM1bONkELKZxs0aNdJqjE,1161
caffe2/python/serialized_test/data/operator_test/arg_ops_test.test_argmax.zip,sha256=YqaRtfUPvs68Opjy237MrU3Z6OeM6bpVnXEfDK6X-3E,1061
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/pad_test.test_crop.zip,sha256=ZhrzE0syxJrdF5uaTM2452li7o27hFa9Pg8hH5F_xdk,3245
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/dropout_op_test.test_dropout_is_test.zip,sha256=u2RggK8gqIAsGvkbskT5_bKsLI9AqEIhIlhn-LiDWXQ,1215
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/reduce_ops_test.test_reduce_max.zip,sha256=2SfWAowtCagy9R7-f4d4AIaDi9sFzaViqxoLH5j-Klk,1224
caffe2/python/serialized_test/data/operator_test/floor_op_test.test_floor.zip,sha256=LgB1EHHgfjwWpR7olq2R5jv1DgWrcvE1Fkst7OjMTPI,1030
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/cosine_embedding_criterion_op_test.test_cosine_embedding_criterion.zip,sha256=WIY3kTSfXF2SHR2BrsdvUQJsY3soc0rKad_hfWeHGko,1355
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/lengths_tile_op_test.test_lengths_tile.zip,sha256=rmA3QyW4-Xw9-3kD0X7ettAduFPaFXQB5hfm5nT_jQ0,1207
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/reduction_ops_test.test_rowwise_max.zip,sha256=5zhOAW7BqwQQg0Z9eKMl7-6GvnB7tvz7d5ZSy6NGuwU,1181
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/adadelta_test.test_adadelta.zip,sha256=YKYEmaJZna92xtnzxvCkneUpvDfv11A8koT_OZAcqpo,1167
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/clip_op_test.test_clip.zip,sha256=NZPKPzz06ZtVQNv6qjvmcrTEh5AFBqlYzy7aOEJNNt4,1208
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/filler_ops_test.test_diagonal_fill_op_float.zip,sha256=7YypoAuGJ8NQZ2qU8IkP4Bq7NpSmP6pH48JBGW2IAw0,1057
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/elementwise_logical_ops_test.test_is_member_of.zip,sha256=uqrONEV2qR-XmDQFpYXcSIVH3E0ogRVeYoI5irqFIJI,1050
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/reduce_ops_test.test_reduce_mean.zip,sha256=62hAJ5Q0fZ4Fwdj7a5sJuSjlzYMEoYBeommznbHOcck,1226
caffe2/python/serialized_test/data/operator_test/recurrent_network_test.test_mul.zip,sha256=drOy9x3MSr54PLCBabig6EOHOiy_KZqolbNV0OFXfw4,3684
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/integral_image_ops_test.test_integral_image_ops.zip,sha256=5G3p9olOVe9Ri8fRcxYkq8F92YnET3BF5nbC_TvhfIo,1608
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/selu_op_test.test_selu_1.zip,sha256=uJcP-JLsy3Nm2kOAyHk9NLfHbq1QT3SmbYg6jT-v8ro,1226
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_asin.zip,sha256=KDE1yBEo_84oP3KF3xJ9hFGlIVt7ca5E7iCFiJaADyw,1158
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/pack_rnn_sequence_op_test.test_unpack_rnn_seqence.zip,sha256=GSrGk5hLICnC6M91dUk1knxUWgRCx3wnKoaMwEZnjw8,1218
caffe2/python/serialized_test/data/operator_test/sparse_ops_test.testScatterAssign.zip,sha256=ih4drpUBcYPdjpKJ8M2hXFapZEJsLov2w0irl6IhpHc,1090
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/one_hot_ops_test.test_batch_one_hot.zip,sha256=Zlsvy0KRu7vLTBnvIqb5zkPJWyE9x4cuv2QL30GABeA,1071
caffe2/python/serialized_test/data/operator_test/trigonometric_op_test.test_acos.zip,sha256=Cb7rzgHlaDr128uBEy0sz-EydcmCG6dIsxIyqqXRawM,1159
caffe2/python/serialized_test/data/operator_test/utility_ops_test.test_elementwise_min_grad.zip,sha256=Ctswc2PYGTYP1G_6ZANZY42pwvls3T7o0N3g8NRXX4M,3640
caffe2/python/serialized_test/data/operator_test/moments_op_test.test_moments.zip,sha256=aa5maBWc299DiT7pCSG__QYGsb5Y8NqMppwmGWxjFdo,1268
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/bbox_transform_test.test_bbox_transform.zip,sha256=ea56q5rmM37OBsaoTduCO1n-c3cnRYryhxvrDhiDfh4,1254
caffe2/python/serialized_test/data/operator_test/conv_test.test_1x1_conv.zip,sha256=UAIoTlvv8M6tGmb7VmgPxLfr7DkvGueG93EsBl-hFAM,1632
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/ideep/pool_op_test.py,sha256=VTdr1A0rIugqWcAdNC62hm-cEF9gYgaJojaCsVwSeUc,4296
caffe2/python/ideep/reshape_op_test.py,sha256=rmVDyvTcQs5YZelI2SApbiS2OJrPgb6g1H5IjlS2SrQ,5919
caffe2/python/ideep/adam_op_test.py,sha256=1GolsJCMq0zTr4x6D9b6tMK9FXFWPXYOBX0pQlNP8Fw,3212
caffe2/python/ideep/copy_op_test.py,sha256=LYmJJ3P9lqkBMQhBWY53ur0H_71GrtHe_IDpX6Q_BtU,3074
caffe2/python/ideep/transform_ideep_net.py,sha256=1wRtm93ViI6i6ukYuGC6QAIA-KpFQGl9g-ujyI2uAkg,11683
caffe2/python/ideep/expanddims_squeeze_op_test.py,sha256=JDpiClZXXKB8UN6kIrYCZsCJb-_waFoqscuOVLmVCAs,4285
caffe2/python/ideep/spatial_bn_op_test.py,sha256=1LYXywa0_F2lu_Bcio4-AUbQXT4h_oyT4dELnWn4dh4,5237
caffe2/python/ideep/order_switch_op_test.py,sha256=PEU68XA7MQhgNxxv_iP2k4O87nbvCOc28TOLc6EXqbc,2299
caffe2/python/ideep/dropout_op_test.py,sha256=clp4Y3rUOBEnauslN2vK3YCbma5h6MBbzDMcB1nLkCU,2075
caffe2/python/ideep/test_ideep_net.py,sha256=6cma0F3F-d1mD1ptABTFuwG56j5oC4A7FxUR69vv8mQ,4094
caffe2/python/ideep/channel_shuffle_op_test.py,sha256=csBDB2fznr1rbw0ktPLDbWWZpAd8Y-RgyL6pEL7aZ8I,1286
caffe2/python/ideep/blobs_queue_db_test.py,sha256=2c4dSDIC6ksH4ABIh7vsTpKP3B81ywx_vG2lD-1B-mg,4045
caffe2/python/ideep/LRN_op_test.py,sha256=v6lCZYmvVQ_llYBwr0d5rLRq29kTUYyhJPzTbXY_qNc,1195
caffe2/python/ideep/elementwise_sum_op_test.py,sha256=-6BAvXfRGESQp6cb3upYT6rtIp2VMxhKVh_qDn-5vbo,6317
caffe2/python/ideep/convfusion_op_test.py,sha256=v3vn5xdcLFkjsa6f4yemzcjC2AI2gKjmI-NJjiyuQzM,31919
caffe2/python/ideep/softmax_op_test.py,sha256=VS7Noq2r9Sgu1rwcwzg7NQNFsQqgo4TpnfKHbSHk2ag,932
caffe2/python/ideep/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/ideep/transpose_op_test.py,sha256=DeVtB2cuVj0AoGtI8IYiVpwGZdH1Z8d6VhmENOlEENk,1284
caffe2/python/ideep/fc_op_test.py,sha256=MPEALWRqwAWQ-MRkKoIiidPT6c4fTPDBJ0JtCz2woRc,11745
caffe2/python/ideep/weightedsum_op_test.py,sha256=4RzD1g0gGUqMLjhjf1cwuqXBUpJMg0ihEfARMw2En7I,1560
caffe2/python/ideep/leaky_relu_op_test.py,sha256=sZOymPR00KMregDX3wWESG_SbOSCxoCJdFfCp4rWE2E,2854
caffe2/python/ideep/concat_split_op_test.py,sha256=BoaHjfYPNfEN_4Sdrpvy_YCDozaKn8B4eO67zptn00Q,5532
caffe2/python/ideep/relu_op_test.py,sha256=nbn7xZKfUXdb-PmrdjVde4wZluE-29KHQ3HrcikfPu4,3705
caffe2/python/ideep/conv_transpose_test.py,sha256=MBMNnRPjntkFGqxkIqFZftcPOLF3WH-vl7YNqAIhoKk,2595
caffe2/python/ideep/sigmoid_op_test.py,sha256=6g-MdRTgUsPs_IY5k7DfuLM5CrSOoOrCIB4_dDohvVw,775
caffe2/python/ideep/operator_fallback_op_test.py,sha256=WKYnAbnwO5wzfG_IdOpv-sQQ26G3QyffJ6C6Z2C3d3c,3450
caffe2/python/ideep/moment_sgd_op_test.py,sha256=ISm-oMjFjyoS5D_-hWq3vmXJMoWQTDTClZR91DAYDcU,1777
caffe2/python/ideep/shape_op_test.py,sha256=w4yeptisPioEaxDOIhyc0M87SEZ_Mt7D_lRrvTaceYk,2631
caffe2/python/ideep/conv_op_test.py,sha256=A6Fzq3ZmJXnvL6kkkFQqdUlmPqGwTvyByi3_9ezIjFM,5666
caffe2/python/ideep/pre_convert_test.py,sha256=Eg4TZZPWdNDBy5aQLP7H3kc6WQ-m5_rW_Kdx4cYs74M,4115
caffe2/python/mint/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mint/app.py,sha256=eWBLINmlAUStIaLNN2mDQ1NdXiOBO0-bEUpdTAwojXY,5600
caffe2/python/layers/adaptive_weight.py,sha256=j3xTR8JM0KeGrYLxENK3-KcA-xWEGDYgBubx_-AHZfc,5687
caffe2/python/layers/sampling_train.py,sha256=X3_FcyDnithPpTWDSPfsh3QBXvK_Gi1BjusM6KiEtRc,2210
caffe2/python/layers/tags.py,sha256=sUjw17QzJwJ6vbfyTQTBU4AsLNSYwlyVSJrybXuKVug,3951
caffe2/python/layers/build_index.py,sha256=JOlp0lePhkVkzYRZZa20u2yiQQMgGE0lS0W_49wmcZw,1937
caffe2/python/layers/bucket_weighted.py,sha256=xpJ5s3iJ9ovgvMU4FTyJeuL6jPtY7oMuBtyBa7cCnDU,2355
caffe2/python/layers/batch_normalization.py,sha256=ou8ysREK8OFS_CJifdKGl7H_jVSnN6V_saI7_wIb6zE,3823
caffe2/python/layers/merge_id_lists.py,sha256=gcSwvZsB8t1-Kr_GD_EMUpQvLroHuaShe5YMfjmLeoo,1500
caffe2/python/layers/homotopy_weight.py,sha256=77MefQsE8afG-PwPV2kkHGIow4Sq1H_WaXZSI2KCgMw,4306
caffe2/python/layers/sampling_trainable_mixin.py,sha256=fEVL2kIraLp_ZGB8rWUJCYDNvUWT0-Lsa4QY_cZdkWU,1366
caffe2/python/layers/last_n_window_collector.py,sha256=K7NsP3p-8Dhg3ACMVGLh-JDp-eZkwtfAUUW1DX7rmjg,2392
caffe2/python/layers/random_fourier_features.py,sha256=h1XT-2e9RqAewt6ILEk4Nje889TeWEytGPlG7IQt0QU,3187
caffe2/python/layers/fc.py,sha256=sOysPXT_U4LMEj_synPCdFfWRgy7XSNhwvCpiC2uVhc,9296
caffe2/python/layers/concat.py,sha256=AOtH61nWSEhwaMWWGJxQgdwhdh6ghl5JZeTnUyqlo1M,4849
caffe2/python/layers/position_weighted.py,sha256=C92qUTzhuIsaQ5pJL2AyzKgYlFjM2eNMuHEbztc8-Co,2066
caffe2/python/layers/layer_normalization.py,sha256=rJfFjI8Md-fYJcUqZT2fyMBFH7f7nfy0ORksF6Y3xzU,4291
caffe2/python/layers/margin_rank_loss.py,sha256=_GtSrm8pQxNXSA25rUS1ClrqBDUun7kHosNBkQcmZVE,1951
caffe2/python/layers/batch_softmax_loss.py,sha256=W7gEOqLFb25cvQhOCiYVbl55Tk9C96q1_dFi8zHKKXM,4580
caffe2/python/layers/add_bias.py,sha256=IqJlvMAG7xOf5HO3S8lOJWwOnVPJbxBDbLLiuhW4IbA,1396
caffe2/python/layers/fc_without_bias.py,sha256=udpHs-YCkJk6FoQa_ALlKxy2zJHpqfRz0efQSvNlJBo,1954
caffe2/python/layers/arc_cosine_feature_map.py,sha256=fGXh41OQfePpkO3Ar7rNDUw0eOLMzcf2AdvIHrbeD_g,7345
caffe2/python/layers/bpr_loss.py,sha256=CohZJahWcd4Rj4CG9Kyklc7Ml8aeQGuC0C6JINdNiCE,1499
caffe2/python/layers/__init__.py,sha256=V1OdXsl7TC3WSplIzl6I-4n5HhZmmFpU4rcH6QFSE8o,943
caffe2/python/layers/batch_huber_loss.py,sha256=hxu-bWnwd_RXY_612i9TjedPEUQU29BJbMCofc8_RNw,3523
caffe2/python/layers/sparse_lookup.py,sha256=UHWjWszJmF_NQZZpG8yjjywYjauRli4RrpVd7WXCBhk,22170
caffe2/python/layers/batch_sigmoid_cross_entropy_loss.py,sha256=eyuQd5njuQJcp-TtV25UJ49d708m11tBTcjgMaY5AG0,1483
caffe2/python/layers/semi_random_features.py,sha256=G2IfYro1uvjhajRG4z97Lf4YMyp_eVfqDdbh26BpDBY,5809
caffe2/python/layers/pairwise_similarity.py,sha256=rbiZXtAfG-5slq0U-LY4nI4WkBqNiPsfLyMZaDpHuH0,3549
caffe2/python/layers/blob_weighted_sum.py,sha256=-hCVfjlM_na630B18PC3pYu6oUbg1QzVkMO8I-SOi4c,2219
caffe2/python/layers/batch_lr_loss.py,sha256=denLDVg-cIoggMP_OWpQlquqFsBt6iGHZQRMMWz8N8w,11577
caffe2/python/layers/gather_record.py,sha256=RfupjzDqha18onj1eBcYbTIgolDiQfaxAgkS1C5A7MA,3260
caffe2/python/layers/feature_sparse_to_dense.py,sha256=F7T4DQ6iVrJCRXDfdmNtwQsXmq-kLcPxPq7Zdgf7IV0,14361
caffe2/python/layers/functional.py,sha256=QeyLnqOoO4IWWqgzinJNUiC6ZIITd6ZlKtR8Vnu4o2w,4875
caffe2/python/layers/select_record_by_context.py,sha256=i1qPaO8o8PVw3MLxOd0RzuoEZuKdKVkuhNNIP3o32_Q,2381
caffe2/python/layers/split.py,sha256=E-PRJlcVJ-RDQRWFbK9wBkWcyt3la7-_RqsXcrJotJs,2257
caffe2/python/layers/label_smooth.py,sha256=dNKH-JGRi7I975uH3tTABfUwF6JlWpeS6DhadVEtuTk,3507
caffe2/python/layers/reservoir_sampling.py,sha256=CxG4VBXW4qWl4-pq379qnuH7AgwfFvEBl1pUwI6h53E,3013
caffe2/python/layers/sparse_feature_hash.py,sha256=igX3wTrN9Peudapl1Abcps6fFz5BuQ5ZfIIRpuYkoas,4618
caffe2/python/layers/fc_with_bootstrap.py,sha256=vwP1-6fhX88_Gz1tD8EP1KSTObuxaRA7GLuFC0cXjtM,12788
caffe2/python/layers/dropout.py,sha256=PKuDEWOvs_8FmMLwW51dZOOVx3d4XV8eVtxiIHE3FLs,1410
caffe2/python/layers/conv.py,sha256=o-eKOHPqoLeV-tBZ6XchlhixR2WIS7bwgZqhaUphARw,5050
caffe2/python/layers/layers.py,sha256=b7fFS4uxQh39DCRqLRirhD8iaCpoe_E8gupZpJtl8Fo,17412
caffe2/python/layers/sparse_dropout_with_replacement.py,sha256=rczuJBzm_PnIqUU2JXWEkDhvDIbDnE3tHBDiyCvcRBc,3943
caffe2/python/layers/batch_mse_loss.py,sha256=wSDVKu-N8z6lzrKBALWdk17FECO9IY0Dbbgj4ITuYFU,2333
caffe2/python/layers/constant_weight.py,sha256=_qKmuUBbnCF4k4vVld2wcpSloBxJBWhCeptBC021Jt4,1208
caffe2/python/layers/uniform_sampling.py,sha256=HiUHOd9oWqp7nObhtKNWVoqo2pPgGmjnd22KGJVilTg,2779
caffe2/python/test/do_op_test.py,sha256=t6JIHsVDTdSFACwEl5Vqy3LfXsCJdIZxPrEV6-DFYnI,2055
caffe2/python/test/executor_test_util.py,sha256=pIOQs85T81loiUGZ9j4w6uE39Azxav3-t0C4h0Tf0rQ,8058
caffe2/python/test/gpu_context_test.py,sha256=NGy_i0rDQDN6V390uFUe4oUeWJTmOiHQsNWU4tmBUOM,1121
caffe2/python/test/executor_test.py,sha256=pyv9B1mG_B_4g7M4V0eMcjJAxOqZHPgL0wFyhZbt4HM,3039
caffe2/python/test/inference_lstm_op_test.py,sha256=ymM3GoakYGKvRy4Em43lsht-YturC2HJV_u724OwojY,2190
caffe2/python/test/blob_deallocation_test.py,sha256=DcmwI3y7Kk4Ne9PFCIWquAp_QlfBqqfTrt8seqqplAk,632
caffe2/python/test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/test/fakefp16_transform_test.py,sha256=c10YR78Zrlup_eahGY1H9qZtq93rEkTYLUUKIMnVwUU,723
caffe2/python/test/python_protobuf_test.py,sha256=k48MWtPy-LxGOr3tGv5pyE0NgJW-YmPnzIJ35BEzFZU,624
caffe2/python/onnx/backend_cpp_rep.py,sha256=rEJL6r4ci-rrUfPkIr4GtqSpVu14F6zpF8Fah3VL_R0,1863
caffe2/python/onnx/backend.py,sha256=2pMQdSk0SRv9RuMjSRKzPXC3ABV0n7jF4PVRi5bOygw,40699
caffe2/python/onnx/error.py,sha256=rX7vsW0aWai6U6uXoCnQcXns0u6VqPQI-lIi43QPtbc,131
caffe2/python/onnx/frontend.py,sha256=YrTBDPza4SU4XSnvLTFBdK5UwHAhJr4L99onPCXomcg,12838
caffe2/python/onnx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/helper.py,sha256=kzBCzPhN9Pm3F3Y3Bug0k3GGCYhjJ9I5cu_SX9AkJpg,4158
caffe2/python/onnx/workspace.py,sha256=o5udA2hh43Qy_qaI02PHLgjX2rMOaYiJsEyeIpOmxKE,3003
caffe2/python/onnx/backend_rep.py,sha256=JsfrvUddZNZcNjmMZ24QGMEtpgtNnHxpZigtuE6bcw8,2830
caffe2/python/onnx/onnxifi.py,sha256=9XM17kojMpvX3Ck7rRXRMeCk6Beq-ERfUAFVuBlXZ70,1968
caffe2/python/onnx/test_onnxifi.py,sha256=mV_nmAo5hWJVpma3eks63IiSuyadH28t5R8jCc1o_MQ,7730
caffe2/python/onnx/bin/conversion.py,sha256=UhxA2t8FNuu_-cxUC_oFHrTEPLzQhwts0Yk6a8h0Tpc,2847
caffe2/python/onnx/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/onnx/tests/onnx_backend_test.py,sha256=-rXG4BRqaSdy9mBLi409EKgt6RnTPEyzuX9w1L1ivS0,8911
caffe2/python/onnx/tests/test_utils.py,sha256=Uz-EU17kXjyByyAXiLWlF6Mxdiw3I0A4JqPA9VNJtIo,788
caffe2/python/onnx/tests/helper_test.py,sha256=4VgW0TtC5lbYs0SP-tD6-zuPWixlesXVN9wT94JNQpw,807
caffe2/python/onnx/tests/ssa_test.py,sha256=KGGgbpNeR03GUFa8zKtiaTjuWHmjMUwG_zag1ox9dds,4016
caffe2/python/onnx/tests/__init__.py,sha256=VFw4sJIt4Zc0-__eYnksN8Ku9qMhbPpHJEkXMWUiD30,4
caffe2/python/onnx/tests/conversion_test.py,sha256=xcRrWSJMiMiQm1YWobfaHNwfeefumXa58HidpAFvQiw,15029
caffe2/python/onnx/tests/c2_ref_test.py,sha256=Sz_IHInv-JpjTCduhKAcr_-i0WKSkuK0cSL1vNzen5U,31577
caffe2/python/trt/test_pt_onnx_trt.py,sha256=IaNw31oFgRTq4KO1V1uirVJKwUJoclp0ecUdjKEEGsw,7532
caffe2/python/trt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/trt/transform.py,sha256=o2nfH73HYCdpgreMFzBQX2iv_TU6KIVTguXTL1_H7KI,3245
caffe2/python/trt/test_trt.py,sha256=Agl2dBmiZ-C0fkpHdcP6VeFZwyzYFq1ryH3WxEWo2s4,11320
caffe2/python/operator_test/storm_test.py,sha256=aIYVd6O1ofSxcmKVcV9TzKq3XpaKdf-XnE6JisPFsTM,6507
caffe2/python/operator_test/matmul_op_test.py,sha256=VYSeDoRt5FmXpmC_tldeLagu8xmEJic0RBaKKdneSqQ,10095
caffe2/python/operator_test/rebatching_queue_test.py,sha256=9iXs1GlSHQoh-LqOLNJocmz2fwV9IeXR_KGX1DQUTlU,9047
caffe2/python/operator_test/moments_op_test.py,sha256=_bgKfIJeufbpKJxhgTU0r45ixmz6ylUpjkCC7zjFYpg,1722
caffe2/python/operator_test/basic_rnn_test.py,sha256=ohXZXyrooFcfq5jCoEgB1W-fQm5v1UsNC_YRkJr9OvM,4720
caffe2/python/operator_test/listwise_l2r_operator_test.py,sha256=Fun8El0OBBrdQNw2FGU44uf8DpRyPnhLf3cNdWom_0Y,8740
caffe2/python/operator_test/clip_tensor_op_test.py,sha256=sMPD7Aq0Yq9gNn3wsNqPat-pTqXiIpGtMlv0ZMmcYMM,2075
caffe2/python/operator_test/merge_id_lists_op_test.py,sha256=zjKNTkBzSsJ0Ksx2I3rTE611MfJwzvnitmfAf1Vosac,2989
caffe2/python/operator_test/softplus_op_test.py,sha256=-qOeh0keFKxPrS-IozclJ47NeoxN5bZtLKNY1fDwB4c,515
caffe2/python/operator_test/flatten_op_test.py,sha256=yAMIDB3s1iIH2DS6j_rkYDUZb5qKHsXC3iz-QTlkhp4,922
caffe2/python/operator_test/reduction_ops_test.py,sha256=GoUhvP_2z4mpZgtw7kCJY1no3FM6x22GzO8n65-UwPY,4191
caffe2/python/operator_test/ctc_greedy_decoder_op_test.py,sha256=JMzbQc9VklX3uyE6sm0OdJLUd-4X6lZ1DdmgyYt7z_g,4743
caffe2/python/operator_test/bucketize_op_test.py,sha256=IcmV0OlC9auAMf2cZPXxQ6QbA5gUuFZzy-KgHXjA4hw,930
caffe2/python/operator_test/clip_op_test.py,sha256=q9gqITplWR_kV43NOwrCVsNvP1SQuxhIYYTvlr6CciY,1983
caffe2/python/operator_test/spatial_bn_op_test.py,sha256=6FEAUXDwcckuKY_uHr1QJp7vs9VgdEyiqOe_xtssPw0,20182
caffe2/python/operator_test/deform_conv_test.py,sha256=9QqdrDtlJIyhqRdUQosRcdjbhXDOccBn1IOCl9xgyNw,19276
caffe2/python/operator_test/locally_connected_op_test.py,sha256=YG280Hb0U10tRQk5n-y2O6E0xgSR5K1GNt_fUNk7XMY,7833
caffe2/python/operator_test/sparse_gradient_checker_test.py,sha256=xr73dyA3iQDthZAukqzcCpJ8cVjNDVnod2rjucm7OAw,1294
caffe2/python/operator_test/math_ops_test.py,sha256=7rQhvS1nS7CJVLzVQWk1rSoFkYTUq2O7ZUX5fxMEi6Y,1603
caffe2/python/operator_test/trigonometric_op_test.py,sha256=6jFEoNZ9qo1lUGXfitSIyHWraG18XTpQgEdOtheUi_k,1715
caffe2/python/operator_test/instance_norm_test.py,sha256=vNITJWol3A1a4tY8dog5YPxdtJ9we4lVXQOgyjyYUy4,9916
caffe2/python/operator_test/emptysample_ops_test.py,sha256=kLildnnCNUfy43Kvf47tt5Yq8wg4VmPiGgm8DTQ9oUY,1977
caffe2/python/operator_test/assert_test.py,sha256=FKS-sWflMKLyQfeUpJlPWdhqwePY0EeCQHM0ynOGiH8,796
caffe2/python/operator_test/hsm_test.py,sha256=AENE-Z10W18gb-NOuJFSnTM9wcAF0iZmIul9EIAhL2Y,9456
caffe2/python/operator_test/reduce_ops_test.py,sha256=FJbc1dCbfp3CHuu7_-RSwb7ClsPtqmX0e0dZ8nm1NtY,16094
caffe2/python/operator_test/conftest.py,sha256=1i_Gc_oi04OWrCKy2ggNKHsDkO1pZjbOiHou1HZmIgg,1446
caffe2/python/operator_test/momentum_sgd_test.py,sha256=tIHEIKaG_INQ7NbiqIw2beyrkSmFUtzHOt5wkY4oGlY,6480
caffe2/python/operator_test/ensure_cpu_output_op_test.py,sha256=IxlKyOQC_yPRtkEePaHdOsnK9Jy6BbaPgCuO7jnsJwo,1244
caffe2/python/operator_test/percentile_op_test.py,sha256=v9UIJ3a0V2AqGaCEdcE-i-6ZNcUAfyt3n3SKYoUbXJQ,4427
caffe2/python/operator_test/rms_norm_op_test.py,sha256=6mDmR_ejywKLfVWsEfz79BJ7t2g109yan_9in5y_4xU,1325
caffe2/python/operator_test/conditional_test.py,sha256=2HROt3N6NU8VqckRVA3WOAM--_3nDLiwKxucRk8GOoo,995
caffe2/python/operator_test/python_op_test.py,sha256=ARAfAFQbYPE6sGs_rWbfu5uOmue4b-P2SPRUyoA4moE,1311
caffe2/python/operator_test/map_ops_test.py,sha256=B--ia2kcIRBYsyUQRYJmHb2xtQvhHqT_78e_w7LNMo8,2249
caffe2/python/operator_test/one_hot_ops_test.py,sha256=qnr9SET7CTInF3PHoYt8bgIh8rWfXDV2pdKGfdHOwpA,7477
caffe2/python/operator_test/sinusoid_position_encoding_op_test.py,sha256=6gDhhF9GxKnsJvgsNEEuZrrq4_s4bd_LPdrVd6LV7pM,2307
caffe2/python/operator_test/histogram_test.py,sha256=D1GwapzeHhU-lHZzImzvYtauAmodJ_Ffw5xA3-f6NAY,3097
caffe2/python/operator_test/group_norm_op_test.py,sha256=dhKFgFyMSpIvJRA3d_8MqsKL0hCpYB9gqJrGnd5P_bg,5252
caffe2/python/operator_test/pack_ops_test.py,sha256=YzMbpEBqjPwOJNoyLSSfq1-0IxGNw2L94sqEiYPYWoU,12634
caffe2/python/operator_test/fc_operator_test.py,sha256=EpHT0OPHY-fD9eh4TPdSwv3uDKY5OTOwfYJO-rHkAC0,3832
caffe2/python/operator_test/dropout_op_test.py,sha256=PBkBWoeGKR_DXi3J_bI-rlTZSZ809hsndc2Z4SBarlU,2970
caffe2/python/operator_test/data_couple_op_test.py,sha256=Kq7tGmSYzt47nny39_p5iT6es_dhlUMlvDkuRwOQ8XE,858
caffe2/python/operator_test/top_k_test.py,sha256=0yXAL6OPeaNtwxeq2p3wBmP0hy4DWgxp4bwYS1Wy3rc,9111
caffe2/python/operator_test/wngrad_test.py,sha256=iagUjstasJseBgJJRRCaH99K8lqBbmvTBjo9PNpAxdA,8275
caffe2/python/operator_test/copy_rows_to_tensor_op_test.py,sha256=rFCExbzfln8OYgdD67el-OUTVZwX4O1mMXEVDXMLxAg,2526
caffe2/python/operator_test/text_file_reader_test.py,sha256=OlIt0HCS_KsqWNi1bBPNn3DiPi9Rtaj0tBh31QEelpY,2517
caffe2/python/operator_test/floor_op_test.py,sha256=-cHJU_LrbeQmU7kMeDGsh1IvHofGeO502nW8zslI8-g,894
caffe2/python/operator_test/im2col_col2im_test.py,sha256=FOhlajuJHZ6tpQl1vD5k6Zp-MjZqT40jGkzIvweNnKM,4311
caffe2/python/operator_test/scale_op_test.py,sha256=QLzCeE3FuMm4CppfIo2RZWNqP8zwohq9ik3lgyn_Els,2156
caffe2/python/operator_test/stats_ops_test.py,sha256=Ez4wVAhQosngDNpqBJykV4o2ijP-9c9N3mCzqPPCBOI,1789
caffe2/python/operator_test/blobs_queue_db_test.py,sha256=d9waD_SILEo_2dJzsJ5ILj-OTEMaSGoqwbeh-CFXwmI,3240
caffe2/python/operator_test/load_save_test.py,sha256=jOqNat3OVV2Au2-4fkiWRP0WEuyua2LgQTKolvWJw_k,18723
caffe2/python/operator_test/learning_rate_op_test.py,sha256=PJC-LcZ8UahsBnkCeOG-gcW3H1auZgx8AzQW4Sx3vEc,8652
caffe2/python/operator_test/elementwise_op_broadcast_test.py,sha256=s92o0-MBNAEhovNlifk5F7sc51i_PQhM5cQRFm5eEUI,16271
caffe2/python/operator_test/recurrent_network_test.py,sha256=UWQgPX6syURTLxC5tyK4b5tPfrKaGZxG4ViGHQBkw00,14048
caffe2/python/operator_test/atomic_ops_test.py,sha256=RRBM2APLlHYTwJpMpw-pP9RV-4B8YihRMaURQuS0teE,4104
caffe2/python/operator_test/rmac_regions_op_test.py,sha256=Kji0Zf1BzNo9RwBwhRfQ8oUt06UKChIT7HGcYObwYaw,3178
caffe2/python/operator_test/pack_rnn_sequence_op_test.py,sha256=e2NrnvmDg411-iYpNNUUWbh3fzvQahq4DD3XsCI4M9k,2891
caffe2/python/operator_test/lengths_top_k_ops_test.py,sha256=22TlwSmkLJuJapCeKNK1hmw1AAfmM1WKlZ7grV4cKtU,2371
caffe2/python/operator_test/selu_op_test.py,sha256=4LOeZBhihwWKBZSP0nEA3xUy9ZpZFghVZvNgAu5v9bM,3230
caffe2/python/operator_test/depthwise_3x3_conv_test.py,sha256=JJsg4_k0PXTIrPUjIN7W-8wRdWAruU7PxHoPFUQH_gg,1863
caffe2/python/operator_test/expand_op_test.py,sha256=n9OGWsUm4CEGLsqOVTi5nF3zz9gCGuUklCflcVkOm_8,2108
caffe2/python/operator_test/index_hash_ops_test.py,sha256=5WvCVDOuuC5ICZYKVyiISlHb7qjmxnig6mIToPuD2pg,2885
caffe2/python/operator_test/lengths_reducer_fused_nbit_rowwise_ops_test.py,sha256=3A-tWVas1bc97_GG_PPMDvgrplsUDssBB49pDNp8jfE,15495
caffe2/python/operator_test/hyperbolic_ops_test.py,sha256=LtqDnP_oDWuSxEhuSNb9mk242ICpCa2eamYBMPUUOCo,1472
caffe2/python/operator_test/box_with_nms_limit_op_test.py,sha256=Z8DfzeH-BKzAKsqgNnaD2HZsCYeuSCwXOAZdMGEQsnU,8747
caffe2/python/operator_test/sparse_lengths_sum_benchmark.py,sha256=ao9CRQhNtwOQjMzHg1mdq8fzC5SzLOfnWKjatAIcTcc,4159
caffe2/python/operator_test/adagrad_test.py,sha256=sTerJOO5rTQ6bX_ptcFi4h1ZixPk_d0yoBLPYY6CN94,7600
caffe2/python/operator_test/pad_test.py,sha256=K2cuzAnm1m3Dv4_7B1aJr9_L_TvWnGNSoG9z-DeENik,1377
caffe2/python/operator_test/gru_test.py,sha256=9Fp2FhFvG2CwyLQfMxHm6EKh6T4ko8ak_BzKXO1SrIc,12932
caffe2/python/operator_test/sparse_normalize_test.py,sha256=D2cei_vLmt40ZBeNH8UbFhy4s8vCtn5hoUtQXKqiXek,3220
caffe2/python/operator_test/arg_ops_test.py,sha256=4wRE56jtKVm2SFJG4SfRkmKnIKnHj6JpYuWP6C9-vNw,1917
caffe2/python/operator_test/learning_rate_adaption_op_test.py,sha256=714XARd7GObrwGdAzudWJvgvjygRL0kWhG3Nc6-4lhM,2837
caffe2/python/operator_test/gather_ops_test.py,sha256=46-jVtiQT9Hv8KQb5kxf6IT2db9P-K-kr7-xjj-dtRI,9215
caffe2/python/operator_test/conv_test.py,sha256=HEuSB03goyvo-r5r6ut2Y_cSBK-5KP0f0fL5CQwHq9Y,32473
caffe2/python/operator_test/elementwise_logical_ops_test.py,sha256=04SC3yG0l6q8O6vMXjNZSiWhbREgu8-I3c63C0vJv8M,4617
caffe2/python/operator_test/quantile_test.py,sha256=m75ZRTLIUkHZrNGUTxJmc3GsGZvXgs8_Y9jlDa_2oBY,3276
caffe2/python/operator_test/segment_ops_test.py,sha256=MUgQim2gqjCHCXMQm-AGceg_rwMm9TeZ-3dFdkuJbLE,25745
caffe2/python/operator_test/mkl_packed_fc_op_test.py,sha256=FS446UyuVhb57s8_73y8sXlC1kjwPdF0Z0f_1EaODbo,2647
caffe2/python/operator_test/crf_test.py,sha256=QgoZ2eqJ0VIcmaqeef8yZGf8aaSkj14sDg9fqmU4pX8,5314
caffe2/python/operator_test/adagrad_test_helper.py,sha256=UYEknQukfc1lQAwMd42AgGaQLn21LDKcWPc0x4vGsAA,4589
caffe2/python/operator_test/adam_test.py,sha256=3T1dqb0nFlIwqANR8SBr936dmlFWtnvCfEEPWtV_uBM,17194
caffe2/python/operator_test/weight_scale_test.py,sha256=ccbDMq-uzi5FlIhSQub-QBsanbscqLCNyqANoUgyW8Y,2057
caffe2/python/operator_test/rnn_cell_test.py,sha256=dpZcEs75y5BLKy29-VIas9RKS_3_D_65gmBVMX_eWEs,59707
caffe2/python/operator_test/recurrent_net_executor_test.py,sha256=wKaqJ3fXJNkj5lbfhcQth8qvZEDklt5frLz3ePNpghU,10922
caffe2/python/operator_test/copy_ops_test.py,sha256=C1ZTAvyPyV711F-y8noefcMhb_Y9zrzJsQ1tfugTTHk,7374
caffe2/python/operator_test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/operator_test/record_queue_test.py,sha256=_i3uuoN0Ai-oRhRrsUaScenWVYBaivz388UTEo1wCOo,3125
caffe2/python/operator_test/index_ops_test.py,sha256=V0CjgxZvTCJ3vG5CwsvctQP-uQ5avEh1F1K6sHBDiJo,4597
caffe2/python/operator_test/elementwise_linear_op_test.py,sha256=9xLRxbnUF2FnA8ROaKKjdFYj8C6esh0t_ZE37Xg4QxQ,1382
caffe2/python/operator_test/mean_op_test.py,sha256=7Nl5KigePo0Kn45Xv_2aRCC_x68U8_W9WvLIEb77U64,1470
caffe2/python/operator_test/specialized_segment_ops_test.py,sha256=es_Dh-HOduRaYbX6PxR9FuGwOHJ8xus3OjirhIKANcU,11775
caffe2/python/operator_test/transpose_op_test.py,sha256=NrYCZSAqIxK4spJu66lAv0JIPLD_EVrEEWpMrjHkeM0,2722
caffe2/python/operator_test/weighted_multi_sample_test.py,sha256=uPAkjO5sWgnUcX2RyPDPuUJzFW9X55Zk4_iDbt7yY3A,1997
caffe2/python/operator_test/self_binning_histogram_test.py,sha256=Kq_tbDvpgAPo8dcTY4Zcd026N5WIjkrrfRQFzM73NTY,12915
caffe2/python/operator_test/dense_vector_to_id_list_op_test.py,sha256=2Spnoartmn60WUvKhOu9dGseWlUyXMis6-6TBKcUWk4,2044
caffe2/python/operator_test/given_tensor_fill_op_test.py,sha256=U5prsVBltL0bk6UpmaQAyvhsxgC-YZ0HrGrZoyqKAI8,1503
caffe2/python/operator_test/checkpoint_test.py,sha256=qss8Cf0BV5aOluowRjQx6zk1w2gRH7GEIlHDOouLvnc,1500
caffe2/python/operator_test/batch_bucketize_op_test.py,sha256=HIagVW5zZMhY76LB6LAKvxPq8DkgaSLWnYiAQjcMBPc,3730
caffe2/python/operator_test/batch_moments_op_test.py,sha256=IpnVXAmw77meWrvauZVYM3WX-4V0WE5mMSmm8FGJe3Q,2795
caffe2/python/operator_test/sparse_to_dense_mask_op_test.py,sha256=fgTSlLOdkhdsbncBhVSFDaAKsUxtTo10X9RvygvjWfw,3691
caffe2/python/operator_test/mkl_conv_op_test.py,sha256=zRk2Ukro-mgBZNF4EeNtdELd9jYd25enEQnsdMGjZho,1547
caffe2/python/operator_test/pooling_test.py,sha256=YoQhjuBEW17vpxtkjkfA7jGSSHoZct3HvzO3SEQ06i0,16507
caffe2/python/operator_test/piecewise_linear_transform_test.py,sha256=hJicSahQdxklDu7seyxwQFeFhYk7IjB_3vNPEkpezbs,6187
caffe2/python/operator_test/unique_uniform_fill_op_test.py,sha256=DsNX0550JbTGPt32LRogOwep5D5ns_qbXQF8zSya05g,1335
caffe2/python/operator_test/unsafe_coalesce_test.py,sha256=AyApN6UrhXYq-07jU1mj3M1bsWDa0JA08oEyfG-V0u8,2940
caffe2/python/operator_test/given_tensor_byte_string_to_uint8_fill_op_test.py,sha256=0E50CATvYhbNN0pTIP69H5Vwks5JaT9-R0_aogrlYpU,1392
caffe2/python/operator_test/flexible_top_k_test.py,sha256=eS9r1xLwNJ9gQaNJrpOZb2_Ir0lATAdrOFuW2VIJSvE,2608
caffe2/python/operator_test/order_switch_test.py,sha256=ggL2YmqZMulzC_XMyALaptr05AiqKOjmK0vDOIuRLJk,1306
caffe2/python/operator_test/mul_gradient_benchmark.py,sha256=e260qD1_pj4dqSPf6aNxuoUBGGRD4yD3ewta967I8cs,1118
caffe2/python/operator_test/mpi_test.py,sha256=tWs-l3NjAlmlDT7BC6wK_gn0ByOmCl6VhQaUliJKzmQ,8111
caffe2/python/operator_test/sparse_ops_test.py,sha256=WS-9KXj5vleUexEmMX0rqLBf-uGJyqm-HOJVmgHSvtI,3247
caffe2/python/operator_test/weighted_sum_test.py,sha256=xDGA1B3RdnE_OKHE8QOyoyZ3IJKYrkqmlD4I5mrjI00,3051
caffe2/python/operator_test/resize_op_test.py,sha256=8iGoAn9XKrt2Y-NS1YEKHKVUWdkHeT-elhVf1oSqS1A,9417
caffe2/python/operator_test/negate_gradient_op_test.py,sha256=CoDuM6Mj1ZC0K8NSWyMaQlGWV4wZpwiJZRmwPWe68Fw,1518
caffe2/python/operator_test/jsd_ops_test.py,sha256=dsS2ji6b6rP2JBy5PD7M_eJ2N1gh1sGUNHR8DxRS35M,1044
caffe2/python/operator_test/gather_ranges_op_test.py,sha256=XdyklmuDwyX--G9c9duxJ5m6UfkSOYxXY36Rf8Xsa3g,9123
caffe2/python/operator_test/concat_split_op_test.py,sha256=07SGmlVeM1JpP6B-H_UdSjyBZiLZBZTD5Z2CAG8tbk8,7266
caffe2/python/operator_test/weighted_sample_test.py,sha256=lEk1Q8TbxF9z-9R3V8n2oO3aI0UABRMlLw1mLWpnHg0,2739
caffe2/python/operator_test/filler_ops_test.py,sha256=Rwpspdai7p0dy1s7sx6VYXmZmQcRpOwQKQaN7qKi0Mw,8474
caffe2/python/operator_test/alias_with_name_test.py,sha256=4k29-cTaJzojqdIQPGpQiZ-yB_UjLjKW1DQ8RyRrK-4,938
caffe2/python/operator_test/find_op_test.py,sha256=UsY52AoGSDKYle0YoT0HOHPNv9DOcdASsRH9MPstohs,1316
caffe2/python/operator_test/fused_nbit_rowwise_test_helper.py,sha256=PbO8vG258DOnl4J06xdzDlf20feEmDY06kC4ndv5dDI,2693
caffe2/python/operator_test/distance_op_test.py,sha256=X-TrCdFZ8Tey3NKlOn8NSAXeYJ9mHoxOm_A3QcTQNwo,4351
caffe2/python/operator_test/batch_box_cox_test.py,sha256=VV7efKwjRUBsVegMae2ic2zIOPmR9r0NGz36aHDzD1I,5080
caffe2/python/operator_test/activation_ops_test.py,sha256=Au-aVbtjHTL1CWtGZCbXdYKoQ4DcpX_Y5GwfVO16LP4,9690
caffe2/python/operator_test/sequence_ops_test.py,sha256=Z3K9nkrcrABAEVwDu-aQdfiOpKck01073PLyUJrRRgI,11533
caffe2/python/operator_test/square_root_divide_op_test.py,sha256=5-s_SGKVzIdOonXscfAV5geLqukmOCcIpn5rNO1e0Zc,2179
caffe2/python/operator_test/string_ops_test.py,sha256=02rHi4EPtLR8sTUTBvYqblqBify93aws4YLo2WDNCXA,4149
caffe2/python/operator_test/numpy_tile_op_test.py,sha256=mChnrR_31U0WWv2_vv9UN7dRE23at_HWCbkQMWwXlSc,1924
caffe2/python/operator_test/cross_entropy_ops_test.py,sha256=TdM1QgFH0CAmGKrGjxmbfCrWahj1wby24V2weGIxmBY,10085
caffe2/python/operator_test/boolean_unmask_test.py,sha256=ZAd2RsI2bWDvdUrUUeIB_Q7Kn5MV_BlqMvBbYWsdS6Y,1711
caffe2/python/operator_test/prepend_dim_test.py,sha256=Y7CCwDJDPt_4LwyyHfjIgQplQYxb-CtrwNUbP40Y3JA,1505
caffe2/python/operator_test/upsample_op_test.py,sha256=dDuST4-D1-HpkNZba3gek73L_EWmpqX01Tf9x7UWR5s,7308
caffe2/python/operator_test/ensure_clipped_test.py,sha256=m1MMOV2Tzx7-WTelW5pUZb-Iyw61x3pCzVJ8MAq30b8,1505
caffe2/python/operator_test/length_split_op_test.py,sha256=HAtZNE1y-hhrkgkKsaqHN-z3gjKWoDEPm8o8OE6wZWQ,4867
caffe2/python/operator_test/thresholded_relu_op_test.py,sha256=XjeVVwmc_BcaeLY0_RVrj1w28SbJ6Gv19Q-T37uE92o,2323
caffe2/python/operator_test/lars_test.py,sha256=7O3XJ1xh8ihJyPbxk1XaJ4bNGlce0ek2F1sksIFi_b8,1354
caffe2/python/operator_test/erf_op_test.py,sha256=j13TUPVa-N_ScDFbYqiHa3lktAI3VNRDmr4hZibz9-4,748
caffe2/python/operator_test/channel_backprop_stats_op_test.py,sha256=XaWWwgZeDx8sCSsx_VRazSZx4x-DrGe0cqk_aC8ImVs,2131
caffe2/python/operator_test/conv_transpose_test.py,sha256=eqw4YGeUnyjVi5Ob7s1KW38UQW9yYhfsgUu1yM8i9hQ,15945
caffe2/python/operator_test/adadelta_test.py,sha256=Mr89MAtUzvke0cH_lbTOHmmjOkd0DyVtYEw9a-7um10,7931
caffe2/python/operator_test/reshape_ops_test.py,sha256=qqnIbfDxJT_CtcD-ir1VN4DIDxWQhH3-QlCRrlVcO1g,8211
caffe2/python/operator_test/video_input_op_test.py,sha256=zglK3VvzfxU1IYnOFR7zGF1aPfbmktGBrw_ZYZB85nE,10503
caffe2/python/operator_test/mod_op_test.py,sha256=SfE6W5VL8PZrn5EzX298LvOmdTcsW_Po5_J4P1wFnD4,1459
caffe2/python/operator_test/stats_put_ops_test.py,sha256=hqdLuH-WvY6_L6mucnKcXL4SGjLtwfsDRJbghHA2MbM,6596
caffe2/python/operator_test/boolean_mask_test.py,sha256=TwZ0DEkFvpV1HtPntEZYh5T37Bc5zcy3dEpa5aT37To,16387
caffe2/python/operator_test/batch_sparse_to_dense_op_test.py,sha256=G8cvTsfS77MkvP01UNVTxgBQ6PMljIa_TmKxjDIoTlM,3701
caffe2/python/operator_test/affine_channel_op_test.py,sha256=j_le4kQbD5sd5Hj2RLvoXkHp4QtpetMR-GliSbCmi9I,3784
caffe2/python/operator_test/channel_shuffle_test.py,sha256=h-fPyAWMXQ1mXj5jN50E1IsxSKpgaW9ZOfy_bNcziBM,1794
caffe2/python/operator_test/rank_loss_operator_test.py,sha256=Y6YGz9lY8ZeDBkGTWonr_-477Wmf8FB3VPhKjntF0hM,5752
caffe2/python/operator_test/detectron_keypoints.py,sha256=Kdlbrp88NMi6Ouu5nzOmqHz6xcq6IhPCW07V10fkgmA,7973
caffe2/python/operator_test/unique_ops_test.py,sha256=TeDLGAQ5LHkVdQSYYOcI7b7Jr2ubREHVpNHZDexeQWQ,2255
caffe2/python/operator_test/image_input_op_test.py,sha256=So6JuIj8x7CaILYox3a3UPEoELfpicjy9gyktygG__M,17345
caffe2/python/operator_test/partition_ops_test.py,sha256=GWfme5OgEne7YeiNUWiZrfCee5mCkGp0KKcd7uXFTPw,6838
caffe2/python/operator_test/bbox_transform_test.py,sha256=bv1tGGqIbwnj1aXpNUDj4fZgoWVaiIOu72MYYUvaD5E,12256
caffe2/python/operator_test/lpnorm_op_test.py,sha256=sMXdDYM0pLvlY5pYjEbbEeTS6wE7oIMLdNxK3yGbE84,2724
caffe2/python/operator_test/rand_quantization_op_test.py,sha256=fm5C4aS6M630T_mulIKkNyVq8EggpAZd--pD1nVQv-0,6782
caffe2/python/operator_test/heatmap_max_keypoint_op_test.py,sha256=IyNOP1fMjdvz9UMj-RjLND-j9wd2p9HWR_8eaGHAl_U,4770
caffe2/python/operator_test/sparse_lp_regularizer_test.py,sha256=81OlgTY5LK0l-n2yqU6J0iMdXrVSnW9boqAFv3E2zuI,2553
caffe2/python/operator_test/leaky_relu_test.py,sha256=7VHpOncdRmbxjoBxnN0idkkEK1qbXt7bFi8hsFAJUTI,5639
caffe2/python/operator_test/channel_stats_op_test.py,sha256=KsRmt7AwrkpiAaROuczDpup2BGP0u55m_AznOyZ3ZmM,2639
caffe2/python/operator_test/cosine_embedding_criterion_op_test.py,sha256=aQyKyk5izJ8blRVPLUmwpMRxYkQ3ffuvOW6CFIRG26Y,1953
caffe2/python/operator_test/apmeter_test.py,sha256=nXcOLBujmFEDKK4MLsu4d4wrx184V0VK2T8eGWCgvck,2738
caffe2/python/operator_test/lengths_tile_op_test.py,sha256=tC01r9Zhv0FGc32d2PnHn3H3bC4TmOTl4r18OWqlb-w,1332
caffe2/python/operator_test/group_conv_test.py,sha256=r6cPlRHisDPympYYk-79FRxagjrCAKK86oPpqtRxtWE,2870
caffe2/python/operator_test/sparse_dropout_with_replacement_op_test.py,sha256=_PzldUSeBimxI0aWkspkAqOmkL3dn4xjgA08V68Zpno,2885
caffe2/python/operator_test/fused_nbit_rowwise_conversion_ops_test.py,sha256=R7VwL7MxUIyJRVNaZKVzHryQ-KZGgn-V6eUDrKwWgL8,14076
caffe2/python/operator_test/ctc_beam_search_decoder_op_test.py,sha256=m9gjX0cu6mj602Xadu9P5m8DTb30h1UQ__fi_cuoiqc,5197
caffe2/python/operator_test/loss_ops_test.py,sha256=h9mskGE2IytsgOzRhnmSbimN64RndbHnodtFbs-A17M,902
caffe2/python/operator_test/counter_ops_test.py,sha256=JTRYyvKXIHT-3zMSDqGOhJHyv9ePhd41aCceozofb8c,3348
caffe2/python/operator_test/cast_op_test.py,sha256=GlfsO_9-utjsh7XzvwSUvEkMGe781x3V3_N8wJBFXnQ,1600
caffe2/python/operator_test/cudnn_recurrent_test.py,sha256=i7u4V5i_CFAlvP5VDzXKrY4VtT42k5uh-HSeU7TGEt0,5817
caffe2/python/operator_test/lengths_pad_op_test.py,sha256=Kcvn0Xnl5meVj907bqdZJE-Z4cx9V4f_sGBhOg_EPy8,1625
caffe2/python/operator_test/tile_op_test.py,sha256=QXerqs7Hl4KH84cReP13ivYqNqUpWTD3z09VpYyVzoM,3887
caffe2/python/operator_test/utility_ops_test.py,sha256=ET-YbojLwog1BMysOZ1VvzBjIoqf2wyyWSw3QOfjUFw,15052
caffe2/python/operator_test/duplicate_operands_test.py,sha256=pX6FB2je5IwsfgavTex0b22FegLMIn1bpwBmCI9wi_U,734
caffe2/python/operator_test/dataset_ops_test.py,sha256=WYxvxumcYgdtCzSyxI1mSk2LGW2ngGeVW7ffojQCbAQ,23847
caffe2/python/operator_test/ngram_ops_test.py,sha256=NzKc1vNsXcBH7-Yl02mRK7VLgM96oq3dhg2yGyukc_c,2327
caffe2/python/operator_test/shape_inference_test.py,sha256=NoDbvQU96qjjOx9FyJUegNzG8csUU1slH6Rm5FjKjOI,25708
caffe2/python/operator_test/softmax_ops_test.py,sha256=S7rjSAPhwGlsFYZcnwvb7et85-OP4Z1LMfj4aiNg7bk,23684
caffe2/python/operator_test/roi_align_rotated_op_test.py,sha256=dyYEWCJmbEYvUGlNDNnyorrAYp-N0zXfhnzRbCb9le0,7567
caffe2/python/operator_test/glu_op_test.py,sha256=fWqtJRM3uy8rl2CTsmSIIKCOUbOsQlBSbhekXLo1z5A,1212
caffe2/python/operator_test/torch_integration_test.py,sha256=AoOldbt7t8g7ddjYzc3g5h-4_-DOnsywllBOAQnIX24,39922
caffe2/python/operator_test/bisect_percentile_op_test.py,sha256=N4LP-BDYbABvSYuNJh8m9PDFRvwqs3JGdx7EmGiZMWs,6227
caffe2/python/operator_test/elementwise_ops_test.py,sha256=gA0e9lm6mU-6K10HAB67PdeWgoFAvDddVq8Rmy6G-4I,25139
caffe2/python/operator_test/rowwise_counter_test.py,sha256=-sL8a_Zf5hh-bRSTL3yc67bV34hF9eZMO7FZA6HVBFI,2205
caffe2/python/operator_test/enforce_finite_op_test.py,sha256=YBrrSwYvPpvNb1QqTm_SOBE4DZXmyMVrDjicaeQAW9w,1286
caffe2/python/operator_test/layer_norm_op_test.py,sha256=AgLMLGXEV2g9oSwRAR_ue0jPYKoWnuReNtSvvL7Q_w8,14842
caffe2/python/operator_test/onnx_while_test.py,sha256=x8wEdkEQfMlSIoQjGy4us1Zb_VkVVrnCSW0J0AJMfqo,3070
caffe2/python/operator_test/collect_and_distribute_fpn_rpn_proposals_op_test.py,sha256=vSNGc0jJXeVCDIVQWzhuhz2RrKIohqDJwXeM1uPfVFI,11269
caffe2/python/operator_test/rand_quantization_op_speed_test.py,sha256=4WV5W9cnjSWNZNlTRhIucuYwsZzSCe4N9RlqMIw8KsI,3128
caffe2/python/operator_test/async_net_barrier_test.py,sha256=9nl-jGuQBWW3Kjh5BODSJyYqIRBsHD1gzpb7koOXWxU,946
caffe2/python/operator_test/integral_image_ops_test.py,sha256=mQ1nKbAiYZgy2G3XaYxg56OPJruqka7pykiH2N8ufYA,3419
caffe2/python/operator_test/key_split_ops_test.py,sha256=rZqxzCuMD6OINrTVfKr-rMC5CeMmPfdGATaADzzaCfU,1289
caffe2/python/operator_test/normalize_op_test.py,sha256=aJo8TB1VSZNTyvDZpHO_Siw0M9nnhB0nJUJk_9FnkPU,1679
caffe2/python/operator_test/margin_ranking_criterion_op_test.py,sha256=LtLqeiPsAIsXdbkJElYlFNkDXufItMuFHwWhQ2z0pfY,1815
caffe2/python/operator_test/feature_maps_ops_test.py,sha256=YDTkY62An0Tcy6vw73N3nRnNCaeZJUoU3goRBUUG_t0,21492
caffe2/python/operator_test/ceil_op_test.py,sha256=YEtFlcTxTR5O_CWSP64_MG0x955cfsElO1DHiqadp3U,888
caffe2/python/models/shufflenet_test.py,sha256=K8EtvC-cu0D2tyhRcVrdQLMwu9sdcd5sI5E_JrPUC3s,1972
caffe2/python/models/imagenet_trainer_test_utils.py,sha256=aj8K3mdxudj1lVauJCuiN1WrdVN0GPzV1jdd8c0TtNw,5755
caffe2/python/models/download.py,sha256=EQ78_d5eDIREJt8kDbMLpUARB1Pbn94mgaYZZfPNsYM,8193
caffe2/python/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/shufflenet.py,sha256=LQnNY7YYo0YEgimKkUA0D78ZSQSUTcBzT_l4RJGDLmc,7832
caffe2/python/models/resnet.py,sha256=zswpB99r8z8tzXJYoWy3GF36eZENj9qqLL4sJQTQOB8,11972
caffe2/python/models/__sym_init__.py,sha256=PyTJaBB9a-8KLbC3kyM5PtW_8MzR751SEKy653ZU8P0,494
caffe2/python/models/resnet_test.py,sha256=o2507lUJuviVxsF49UYY-vpwAFcRP5xUiwfuPvI0lHw,1924
caffe2/python/models/seq2seq/translate.py,sha256=30ipaTen1y773Ti3yam7pJDkPkAQ0mdNVw_rk7Fc1A4,24156
caffe2/python/models/seq2seq/seq2seq_beam_search_test.py,sha256=XhoFcpUinbeVrNIMtWDPeZdRF5YK4U9CBgiAzGQQxHg,6376
caffe2/python/models/seq2seq/seq2seq_model_helper.py,sha256=RmQwTWyLfAeCpr6GKYaa5FtibjDPU-CZ5EmL08FaTOc,2661
caffe2/python/models/seq2seq/seq2seq_util.py,sha256=xqgfrk5uCq4aQn4WcSIdqxhXOseQlsCtQq2YA9iBfnc,20233
caffe2/python/models/seq2seq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/models/seq2seq/seq2seq_model_helper_test.py,sha256=Cg7o-giTzO5ch9mMU-9eDAy5VybPFzJCQeHmcSRnyok,1838
caffe2/python/models/seq2seq/beam_search.py,sha256=67zriSXKwNy1yG0H-sFTT-YOYzcJsThPNwJmfKqdJFU,17036
caffe2/python/models/seq2seq/train.py,sha256=o--19viSj-BAvGOG2CxEKlHjYWy9s13aXmQCArMpQRE,27518
caffe2/python/docs/formatter.py,sha256=K836Ux07LVc2JXxIHHbr-p_YXYp3QQu5eS9TN8T59hI,2874
caffe2/python/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/docs/parser.py,sha256=me4PeR9f5j47ahR1ygcQAk_mx0uBsE7TD0ZPThSVGSA,2920
caffe2/python/docs/generator.py,sha256=TCV5lvbzFX7wDR9Ycs6tVaclFAunu-oCk-DyazzEMbM,7250
caffe2/python/docs/github.py,sha256=TzUq6VK3U7Ul4rlQbsmJEA7YyzY3bIN7AG9siSnT3eI,4054
caffe2/python/fakelowp/init_shared_libs.py,sha256=4tNVEwYWuBEtpll6YlslC4KwSo5WSrDnTWAcyy4wrW0,192
caffe2/python/fakelowp/test_utils.py,sha256=wEoARveNgQVK8WPIMCOTM3v4tHajSOr-cE8hh5ky-Rw,1631
caffe2/python/fakelowp/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/modeling/compute_norm_for_blobs.py,sha256=PTQfDHMdPRNP7y83Xfw19V88NIp6KaBio_IVPkm5y9k,3642
caffe2/python/modeling/gradient_clipping_test.py,sha256=KAJnoy4jh4lpQgAOtDkt5yB2IN9hndriZD86OI8INZg,10016
caffe2/python/modeling/initializers_test.py,sha256=IpgYqBtr8SyalV1XJcyNvR3bSSIDTTTSORj9VsKQe3k,2106
caffe2/python/modeling/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/modeling/compute_histogram_for_blobs.py,sha256=N2sBNVvhsu9-5knZv5NzW8HBAikw6179_8EIuMTK8Aw,3508
caffe2/python/modeling/get_entry_from_blobs.py,sha256=9RFBiaDNbagisCr2wqmfnbgq3jrF-N4Aop1lycOLzTw,3130
caffe2/python/modeling/parameter_sharing_test.py,sha256=3WGkhuIWJmU0pVz3URYfS5eO_4_kXY4pirkLD6a-TFQ,7223
caffe2/python/modeling/compute_statistics_for_blobs.py,sha256=n-HL2xKVDCfjIKvnDGMki51ZNsRLSFGvyK9FVAc4BnE,1909
caffe2/python/modeling/initializers.py,sha256=uxYLEE94u4J3MA16RdeUeylo_ZlwfTS7xzLM9C-uVZ4,5378
caffe2/python/modeling/gradient_clipping.py,sha256=M9jlXgq7yuNDOHdXDJv7pcrDONWzYvaZNmtr-8P4MWc,5766
caffe2/python/modeling/get_entry_from_blobs_test.py,sha256=vRM3uXbIWehUn9HxMUCxv0nVdkU6E2eBsRDVzJDXFGA,3538
caffe2/python/modeling/net_modifier.py,sha256=jlXaDJjHl9XDjP8FasnognUaXa98BH-Kpw7hpTUo82U,823
caffe2/python/modeling/compute_statistics_for_blobs_test.py,sha256=2RQ-Lol404i38iBdvRDazFmRQv4UZO9F_NqQHA8Idbg,2870
caffe2/python/modeling/compute_histogram_for_blobs_test.py,sha256=90O4yRZ4tZVACbAJ4BRrJaq1-Fcsk20fus6rs3Nlbt0,4947
caffe2/python/modeling/parameter_sharing.py,sha256=J4P5DQbC3hYlk7j6iYNffbBE8unw6f4Y8_1pOJ103Vs,3848
caffe2/python/modeling/parameter_info.py,sha256=iLpJD0J_5YycDznb28BPt2iDLkaXTrCw2QBmxIstA-g,1438
caffe2/python/modeling/compute_norm_for_blobs_test.py,sha256=_JHgNtsHs4di76seRlar3fkVPFxttI1NCZhEZgOfaOo,7942
caffe2/python/mkl/rewrite_graph.py,sha256=aBDlZ999xo5-2rZtH1fxchPJvcdGXirkM1wxhbkkflI,8433
caffe2/python/mkl/mkl_concat_op_test.py,sha256=xU8zykOK1uzpTuTK1FiuTOpwboFXyh3jcLSqUa2vphQ,1173
caffe2/python/mkl/mkl_relu_op_test.py,sha256=4eEqzdoeOujGwMrGde7sDtX5uR8nwzpiEF2UjzE3oqo,988
caffe2/python/mkl/rewrite_graph_test.py,sha256=tPk9VzWHHgl3WdAjUcElMB-bASFsyIwtvWVPZmqQBzk,7889
caffe2/python/mkl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/mkl/mkl_conv_op_test.py,sha256=NbzeCIjIc1AAVHECJn-h8fUVj9CU-fE_qTLxSDjHXRY,1684
caffe2/python/mkl/mkl_elementwise_add_op_test.py,sha256=1SBPAmHve42V7McOlpneeDcNgrXu6K27242H8VhKLUA,1201
caffe2/python/mkl/mkl_elementwise_sum_op_test.py,sha256=tRgE5DknkQ1GlkNagQhi1523va8doUetqxzjMxWBVNc,1334
caffe2/python/mkl/mkl_speed_test.py,sha256=_0JZtBgarBdmdW_SOwU6Kny_caxFLqsjVztFEGRNbZw,3079
caffe2/python/mkl/mkl_sbn_speed_test.py,sha256=9SrbBwx8z9kfz8juXerPnKjR4cGcur3yRCO5SbVTiWA,4600
caffe2/python/mkl/mkl_copy_op_test.py,sha256=fXAFBrWQXU3_KYSzK72OEFQP3zg8u8IDl-IM5z1BZS4,2149
caffe2/python/mkl/mkl_LRN_op_test.py,sha256=xeZ0ECvG96pFW18PuGy-Snwrg3wF09SCumkVEpUTL6k,1160
caffe2/python/mkl/mkl_pool_op_test.py,sha256=T200uLx4RbBPVQz4A2-vfL2jiiSZyk8G51SMIjL37JU,1332
caffe2/python/mkl/mkl_fc_op_test.py,sha256=zPy2qliHG3ahralctp0WHVdUQj80BzqTvbpwy7iHJFo,927
caffe2/python/mkl/mkl_sigmoid_op_test.py,sha256=spu-rC0IaOS_VGD5Z1Gq_v3pSPFUXtnoO-sEFYtsVxo,833
caffe2/python/mkl/mkl_LRN_speed_test.py,sha256=N-UwPQnHv8s0CZrH-BeFqeu9z6cnSuu3B9UjvpbxSr8,3182
caffe2/python/mkl/mkl_pool_speed_test.py,sha256=DeWAmlzJgGWnuuKh0cLYitEaYSnEAog4GTtn36bz_Mw,4210
caffe2/python/mkl/mkl_sbn_op_test.py,sha256=RiekKRW_U6Z2ITiSC3rNyvAmq0acy9J3r714nsnyPv0,3110
caffe2/python/mkl/mkl_fc_speed_test.py,sha256=4_GMSlfI9J1XdrO_3KvXNo6GRelU0nv3CwZWaFm3azY,3849
caffe2/python/mkl/mkl_fill_op_test.py,sha256=_ntP4UtscrbgoDN_BaevM5YFDvFbpw6MQfZ59V7ZeiE,1019
caffe2/python/mkl/mkl_squeeze_op_test.py,sha256=1mXU8nMTTpWugYbCQuCqEJfwfEaDYvbks2yF54lbBHU,968
caffe2/python/examples/lmdb_create_example.py,sha256=DhOfL4LWTPcFp86qAUKu7hoJqekMYD9rvxq1elgxeJg,3036
caffe2/python/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/examples/resnet50_trainer.py,sha256=D8KGjJxAZSbVN9JTnLrXzrKcVT5GQwAL7GsT21os0Hw,27310
caffe2/python/examples/imagenet_trainer.py,sha256=D8KGjJxAZSbVN9JTnLrXzrKcVT5GQwAL7GsT21os0Hw,27310
caffe2/python/examples/char_rnn.py,sha256=PQ9JuLg8hqBJe7PqCeLEQzJtcvrqB1noHw9Ff1W3mnc,9823
caffe2/python/predictor/predictor_py_utils.py,sha256=bGttS7K7_mbFXJkCs7TCh76iLgIzYx0uQ77l2mN2JWo,6177
caffe2/python/predictor/predictor_exporter.py,sha256=_cNGxNgRyRTfvVIdEwEZBwZSmcHoGWZ3lbNrF0gI3Pg,9894
caffe2/python/predictor/serde.py,sha256=ShRW5qEzPk15t0hVAnNU_gM-B5LrwwGP3ZxJPfRVY-Y,317
caffe2/python/predictor/mobile_exporter_test.py,sha256=IraQf71Fo6QS1VonaF2HrKRuBKvRf4qj_wWuwdqP8rs,4851
caffe2/python/predictor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/predictor/predictor_exporter_test.py,sha256=RL-vCZi-2Bt1-cAKJG5uwoRWi4YmoRZ1UWIYJ5qDQSE,8693
caffe2/python/predictor/predictor_test.py,sha256=B9aMTTn_PG5rg-6VE_0V44ly9agAW5fXsq0v0hKXmuA,2050
caffe2/python/predictor/mobile_exporter.py,sha256=To0Y_3jGK_izFcJC-N3CNfjpghzvaxzzK3hLttNEQVE,3674
caffe2/python/helpers/elementwise_linear.py,sha256=3ECnIucrciL7lCj-bwpphbt3Fk9zM6dMq1TosAnzN_M,1385
caffe2/python/helpers/fc.py,sha256=iipmLTebMDd3zpAMpbT0zqK02c24CMM7qM5h-OUgVH4,6405
caffe2/python/helpers/quantization.py,sha256=BIkXsx-EDPqLz09t4_sVfPQu_dVTqnTUiFvVnxPBwlY,261
caffe2/python/helpers/algebra.py,sha256=Enw_jhOQ6RNw0NZ2A1oNI00zZZGObP1iN1h-8LB4XGY,1296
caffe2/python/helpers/tools.py,sha256=3HIHNWZ7gfr_Me6tK3E0WNNQMZfJitfwPND1dW9praY,1089
caffe2/python/helpers/pooling.py,sha256=mFwmC3kA-jA5BaZSGypQtg-j95ReDZy-BEJYIFJcG5A,924
caffe2/python/helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/python/helpers/array_helpers.py,sha256=OU55HENoh8wTZNyaZ5yQhqtwePpDdb6AI1odgg8jOoI,648
caffe2/python/helpers/nonlinearity.py,sha256=9hRof2I__2U9lOi8vG_ktps_17y-0jX6XDDGih-yH1A,1145
caffe2/python/helpers/train.py,sha256=6BW-oIVizQLBH93_QyDGCw2pL6Pwmuzp0rPX31YO7Xw,2192
caffe2/python/helpers/control_ops.py,sha256=rLYPWUiiUu50mnPOFlThT7_vsrk0xwMkebZtC7mhhOc,625
caffe2/python/helpers/dropout.py,sha256=Q2UOejLwIuyGykpzGwyZho91x6COcqrIp4Xa3mNIgIY,412
caffe2/python/helpers/conv.py,sha256=eZaOVslUE88CpgaE0UNJISddY9aactMb3rPdzq8_aAk,10396
caffe2/python/helpers/arg_scope.py,sha256=wKcyKHPeAaRIr1Vs3UUNvbRXY1EP6nybjoHRVOMeg4M,1114
caffe2/python/helpers/normalization.py,sha256=FAFsh5HE3YeEWDULgoHQaHWOBg9TEuDUK6xxIUmvOMk,10891
caffe2/python/helpers/db_input.py,sha256=DLbg282BFjwC6569SG4PUphoX1x3h-v1vxef065Dm88,381
caffe2/python/rnn/__init__.py,sha256=fDcNlTbX0Nag981_mCZpKs2T5PsFukb3tjC4eXQDQ9M,5
caffe2/python/rnn/rnn_cell_test_util.py,sha256=bJL02PNpOMhvhOV1ZpwCutElLKri6BmT1bbXv3TYkU4,2132
caffe2/python/rnn/lstm_comparison.py,sha256=Z400dLQe0on0aL7XGBPUKLp8tRWjycgTW4p2If_dZlo,2076
caffe2/distributed/redis_store_handler_op_test.py,sha256=fYYVZ1kCySTqCmlEcEv45jeHu8tWtFpuIoRHPw1eSws,1331
caffe2/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/distributed/store_ops_test_util.py,sha256=O0GXHaP2cWzd5fXfEDQb9UAPepZ5JtNGw7eGAE5ZXDc,2213
caffe2/distributed/file_store_handler_op_test.py,sha256=izHRjQ_1IiOU8_s-CtqXLRHo1fG3iVjOOh2jxiSKx9Q,1770
caffe2/perfkernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/perfkernels/hp_emblookup_codegen.py,sha256=PIG5BLRlj3rVoYtwiaF08OuXyjYs0cTYHn4WzyXx520,19261
caffe2/experiments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/python/sparse_funhash_op_test.py,sha256=N1nN24kDRVtdnC_OpWKwDT_4pnuYcSNMO392Oq37KZ8,2502
caffe2/experiments/python/tt_pad_op_test.py,sha256=IvIKxofx1DhC9BoC7itHf1EJCLeTpNGI_jCVLwrB838,1944
caffe2/experiments/python/funhash_op_test.py,sha256=-jXHxD87MSUpRfSrersUC6AgNSWXDvM1qGoCbxA3x0E,2740
caffe2/experiments/python/sparse_reshape_op_test.py,sha256=cg8f7TDTYUT97RZ6YOi1AQfNuVHZ5xwbL81mFLmJG28,3412
caffe2/experiments/python/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/experiments/python/convnet_benchmarks.py,sha256=1Un_BZvh3DjKGB6CACqI_QrQnZU6wrKOwBgCU-h1EQM,20369
caffe2/experiments/python/device_reduce_sum_bench.py,sha256=AfP1VGj6kzFJqO9-61KH_Zn6C2Eikewy9_ZRjAvDA6w,3946
caffe2/experiments/python/tt_contraction_op_test.py,sha256=Z5s77lZZTwp8eIULG1hAGZP1QSde1tThE1s6fabIkwA,2099
caffe2/experiments/python/SparseTransformer.py,sha256=9LyDKniHlORbP-6FxI14VEJSjlwX8mTC066O5HFSUmc,6888
caffe2/experiments/python/net_construct_bench.py,sha256=ySSiB-V4oAXOurcExSZJ5pmfdEhUPERXMaWa4wzsvDc,4124
caffe2/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nnpack/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nnpack/nnpack_ops_test.py,sha256=HaWtv9Gdk4T6aPDa4cAF2alF1CDh0naOVJN9SB0KBfE,8174
caffe2/contrib/warpctc/ctc_ops_test.py,sha256=bUq27350xGdTFPdDC9tuwvzSsWUcsF-R2eUocI1vuKY,3915
caffe2/contrib/warpctc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nccl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/nccl/nccl_ops_test.py,sha256=c8SXeOum1hr7zrO9zQtfqyjA27PT8TgWu8_Vm17TnzE,8138
caffe2/contrib/playground/checkpoint.py,sha256=tNc1ZFCJA8tLTZAntadJpbY2bynvGe0wT4k4DUoHVIQ,6881
caffe2/contrib/playground/meter.py,sha256=SbItcSzI-wK9REnuymZKul7xB2NFM2SiLx01pv0wSos,292
caffe2/contrib/playground/compute_topk_accuracy.py,sha256=nQux21oT9PFuZIceD4Exl73eXgvTGQAQBfTSzqttRok,2189
caffe2/contrib/playground/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/AnyExp.py,sha256=WbRNKpVTu5rvHzHB3ZJXxMz66oH4j_yv_HUrdYTPiaA,17968
caffe2/contrib/playground/module_map.py,sha256=E6ocV7-k2O4jAikwnLINC-zb98dEYkDn5UzGDosqVHw,1427
caffe2/contrib/playground/output_generator.py,sha256=-H4XFRr3TXW8mulvoLS6bnweI7fYkIlmeFDOGP-_p4M,478
caffe2/contrib/playground/AnyExpOnTerm.py,sha256=8suzTjCbUzfVWVobZJmWxqBqr-8H7Xf-kvqbRI36DKQ,3346
caffe2/contrib/playground/ModuleRegister.py,sha256=Wcye8XgH7M29JTD0pR6rvqSzS1UQ-SG4fHS2CDu7q-A,4771
caffe2/contrib/playground/compute_loss.py,sha256=JODsP17x1Q-clcUzuq6wsxAmdiiNwwIrL9UzOh1Wdys,965
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_param_update.py,sha256=jNuq6W65s2lOWOZkCG7ANx6EujtvkqU7-MlcxQyO1oY,1331
caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py,sha256=8tKrAEY6_EFeFOnGteiqzrLNRssFRfg6cBGlrbnlHpM,11491
caffe2/contrib/playground/resnetdemo/IN1k_resnet.py,sha256=aLnOsryQ_T6WVn3riAe7TWpMCdKCcHwG1KGr2JOqYhE,1498
caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py,sha256=Fj53a56Bv3Epe-tbtXd4WsYhliwzDD_sJEH9-gNpBAw,1880
caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py,sha256=DX-sUJOPaZbjGVU-ctTH1RibdXwtaKSnFmqpP8woJEQ,653
caffe2/contrib/playground/resnetdemo/gfs_IN1k.py,sha256=3Jw3vV95svK5Ka7NCW66_guIHfkDkiam3DwKGq1C5O8,1406
caffe2/contrib/playground/resnetdemo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/playground/resnetdemo/override_no_test_model_no_checkpoint.py,sha256=q-kAIhKLJIk6DfxGyCCg8_xX-syFCn2CGZxjROW0Qb0,307
caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py,sha256=kldohcEBJsWqDvjl_2mGd3KlxJ8l42vLVkUC5HVfEcY,1416
caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py,sha256=5Xv99YwntRs5CAmKNQHn0eqHHvsCyo8VqRuPgFuVMu4,2268
caffe2/contrib/gloo/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/gloo/gloo_test.py,sha256=vRev1a9H2TmFcN6R9e6P64xuDETxMUTslDtWlcsCwRE,25320
caffe2/contrib/script/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/script/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/prof/cuda_profile_ops_test.py,sha256=ayW0UA6sX1mEjMrLsHkxkMuHHJ3mXIqyb90Lqf41ILI,704
caffe2/contrib/prof/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/tensorboard/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/tensorboard/tensorboard_exporter.py,sha256=rl6g-f7sUwNkuyceFc4GylhU9BTF4SuuDAFm9XLsogE,9813
caffe2/contrib/tensorboard/tensorboard_test.py,sha256=yQ-OlxBVsI78nduVB7ZbEQbR8i9f8Gkp52KYmqmRmWw,4156
caffe2/contrib/tensorboard/tensorboard.py,sha256=lT7psq3WGbmd9pLiWWHghGWNhRUcomrMTN83_nKSVqI,6309
caffe2/contrib/tensorboard/tensorboard_exporter_test.py,sha256=uanvi93UUpXYN9bqYAXntKtycMKFhZ7f3-_9av00oeI,13851
caffe2/contrib/aten/gen_op.py,sha256=TPcd4LUxZf_8wwPklZ_mewQVz0nuoQ7HHGKAxzCCTzQ,12503
caffe2/contrib/aten/aten_test.py,sha256=GPGFNRpCspQnhk0bLqoNyk9w9D_umzvWFRDSH5wfyEQ,3752
caffe2/contrib/aten/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/docs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/contrib/aten/docs/sample.py,sha256=BkvNQAGw2nduwumSexmnj7r0yrZxtlUQh_XaU60wQKA,1622
caffe2/quantization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/server/relu_dnnlowp_op_test.py,sha256=cwUdPIuLjGkckW-Y6PT7ash-cxOvIR_sUQPeaOE7-3M,2418
caffe2/quantization/server/compute_equalization_scale_test.py,sha256=ayodiseSiXG04yxp9HXRvssZe4hX_jhPW88SWjnF97A,3238
caffe2/quantization/server/batch_permutation_dnnlowp_op_test.py,sha256=pPkkPmGO0yCq8bp6DwXoPVI_CBRlfm4imru0apD4YXw,1449
caffe2/quantization/server/elementwise_add_dnnlowp_op_test.py,sha256=o6mZBcpd9hhTKPWAPe1fwUjJv1khUFv1Bg1IWuK1vww,6662
caffe2/quantization/server/fully_connected_dnnlowp_op_test.py,sha256=izYCkPKZ376wuP-rl05_jNZFpQ7r32Ji9W_CGfyy37A,10463
caffe2/quantization/server/pool_dnnlowp_op_test.py,sha256=VUew77dD9x5VkMXhdHTbbhB5ACtutbk8kXW-AWLvsyc,6125
caffe2/quantization/server/group_norm_dnnlowp_op_test.py,sha256=T_INz5SWkIsmTTCyp_aXwAulzTZKlbPrRqJff2nyJTA,4566
caffe2/quantization/server/dequantize_dnnlowp_op_test.py,sha256=3T46aRCpQLTOrIDFrZtXPCQZvvImGoTtS6Fqw7lyxMc,1743
caffe2/quantization/server/conv_dnnlowp_op_test.py,sha256=uc0dUIzd-mHHAlT4dMXksvW0G35ZZApfJ3HIfG3oYiQ,17819
caffe2/quantization/server/fully_connected_fp16_test.py,sha256=gy_u67MIp_zaiuUYQvCPFdj9AYH_G4u6NMw6YIETkw0,2519
caffe2/quantization/server/resize_nearest_3d_dnnlowp_op_test.py,sha256=DHOkgFgpdiuoX-ImAuzg4dyt-uhcFipsEI2PvjJjuOY,2289
caffe2/quantization/server/conv_groupwise_dnnlowp_op_test.py,sha256=MDzxB4GNbLHXFC7ju-gl9QTHa-X6i-2NfP4YrGimHuc,9537
caffe2/quantization/server/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
caffe2/quantization/server/resize_nearest_dnnlowp_op_test.py,sha256=hSQNzK_OGuQmVGtyLsfsXH5HjIN2IDynPlTETA_603A,1994
caffe2/quantization/server/gather_dnnlowp_op_test.py,sha256=YEwzzp4N9p6JCSMGitW3h4y0cajqRoVRKK9NeZ8Gqxo,2790
caffe2/quantization/server/channel_shuffle_dnnlowp_op_test.py,sha256=9Vt_6wRcp08cO5cjyX3676ZFAjJYAe_JF-FvaJAepiU,3890
caffe2/quantization/server/batch_matmul_dnnlowp_op_test.py,sha256=KEucLJHgCQXiKVSUa-Bzl4tWUPlmEeE0hFdaBnywcJ8,10152
caffe2/quantization/server/elementwise_sum_dnnlowp_op_test.py,sha256=3DNkShdQ4ybVnHUg19m13A1w21R83QMAMOTcMMNyU1Q,9682
caffe2/quantization/server/dnnlowp_test_utils.py,sha256=OsskTblaHDzDyT60LYChFM5FtW07dxOV60RgDWMLzYo,14544
caffe2/quantization/server/fully_connected_dnnlowp_acc16_op_test.py,sha256=B2j8bbTYCtxKhmjh_eCb2MpyZb47Z1nvBnqH25HB6c8,8324
caffe2/quantization/server/int8_gen_quant_params_min_max_test.py,sha256=SDzyaEfyFcbSfkZsu3e1CE0P1GHzNCD5wIZFiYM8Zt4,3491
caffe2/quantization/server/utils.py,sha256=I9-xkqdK3pncv5MZhfn7PurfyqGiQAcsgbKR2etyaeg,16059
caffe2/quantization/server/tanh_dnnlowp_op_test.py,sha256=DKodWpKAZGlIABsQzeaWsgxMCVaSso2rBolnrVZ6-IM,2187
caffe2/quantization/server/elementwise_mul_dnnlowp_op_test.py,sha256=jz2PVRYDq88PJ284UFzzemKYQH6bDr7Mbrux5ABs9kA,6315
caffe2/quantization/server/conv_depthwise_dnnlowp_op_test.py,sha256=3jErOQQHZwdXnlk1of80KU5Sw2FjUuQlvVMAVXvu-MQ,10931
caffe2/quantization/server/int8_quant_scheme_blob_fill_test.py,sha256=zzVUne2tkS36yETvPiYfBytH5hUIQmuBVW_2MqaPGAs,1838
caffe2/quantization/server/observer_test.py,sha256=jTUvtgaII3Q6qRQi5BYS4i6vdsgryEcf-68EHLEgFuE,1011
caffe2/quantization/server/quantize_dnnlowp_op_test.py,sha256=HQdknU4qV9WVO_P68bRUyqUNaaUyYkkDD2G0CX3JbRA,2668
caffe2/quantization/server/int8_gen_quant_params_test.py,sha256=vy-3V6UrM160bKaY_jvJ7VK1Si1TRp9hXoZLkyVC80o,3550
caffe2/quantization/server/fully_connected_rowwise_dnnlowp_op_test.py,sha256=mRqYlVDU06vTHedwghtujJDx_3ESr-sc6V0FnOthqG8,5434
caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_test.py,sha256=0fsPwmLvVWBGW52029HCOog-Yf6UVyqVsCAKByBWuTM,4094
caffe2/quantization/server/concat_dnnlowp_op_test.py,sha256=fjphwkIg_tvSxvmPJJrrivGlpQ4V2Y3m4yKETG-RYs4,3265
caffe2/quantization/server/conv_dnnlowp_acc16_op_test.py,sha256=Bb-m_Zq618k24Lpj9QIF9kA3m0EhLQK9PNbAS8sNPBU,14202
caffe2/quantization/server/lstm_unit_dnnlowp_op_test.py,sha256=NqSWC0xhxvtu_e3Kk9YxwbT2YZGZjJ6OTQ1J5bRh0s0,3975
caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py,sha256=TtObr6pr1-QHjkRyvURb6fZI_AmaeIzQQLHmp0joi_U,11664
caffe2/quantization/server/sigmoid_dnnlowp_op_test.py,sha256=RrcQWTrVF6-A4KhR_TMqrvm7aZFlpfkvOSy-oWllpOI,2203
caffe2/quantization/server/elementwise_linear_dnnlowp_op_test.py,sha256=95rS6EjjjI_vhQpWYQclnq35qUPHuhEBG-QV0DEdQFo,3101
caffe2/.dylibs/libiomp5.dylib,sha256=SF6nX6ZqxLoyppM2Y1LD1eiDCHonbgmshCOLs_wSLzo,3086288
torch/_storage_docs.py,sha256=astK4BAihym5Albqe-Mr9Yr_C8Dcyh7q5YBz29nfvy0,1298
torch/version.py,sha256=w0OyzTDBSx_rwG1BYsHe9xdPpneOy7AdZnG6shWY72Q,116
torch/_jit_internal.py,sha256=l9-Hnd-iYs5CBnEqKYzuWdBORrrlN75wpKY0xXDy31E,40096
torch/_autograd_functions.py,sha256=i3XRi8d3IHViStfvtHNsA6LnaXhYHB14tw1sOnzzJS0,3268
torch/_torch_docs.py,sha256=XCKqo5blSDgsg4g4ephk1o-kZuN2mr0NCKQ6dISuhjQ,326207
torch/_ops.py,sha256=r0VfTyc_JNNx3WByk--Na5w5rsctO-CHWDmWtb8x_hs,4264
torch/_utils_internal.py,sha256=OA_VpHwF5vDS5k6HMg2bpeXc-zmNn8FEIUSHxrz94J0,2360
torch/quasirandom.py,sha256=BMvoKLx4v4XaWOgHcjO6EoRyePyrCalEXMJvB5Ne2qA,7331
torch/_VF.py,sha256=LZqg7eZz0U5sdo6XnsM4eF8_tbb2joaFmff3-szmnHg,656
torch/_tensor_docs.py,sha256=1rtXwOYfh0Jk_l-B4Lw0y2Vo04LSTmI6KDk0PVPH6o4,107834
torch/_six.py,sha256=ChfRbdfBJWGpRPd0l2o6YFXKGWla-igSk14OB1zZq0k,2800
torch/__init__.py,sha256=cBebI50ZPNuoS5USB4ld-xUyPfac1phIH_8AXaeFte4,25620
torch/overrides.py,sha256=kRv-cTf7LpxRp2f2TsljVwzAG8hUjLlwjCY6Wf0bbLo,75079
torch/_namedtensor_internals.py,sha256=A9ToJZ1mxYOkVvR4nMcHWByOYRxvuFy88zev8iK7QXU,5351
torch/types.py,sha256=FAQEXFtDLoJxXmCE5ddoWElTw5C7Ban3pb90BIhc_UE,1551
torch/_linalg_utils.py,sha256=Rlf8-_C2JHPUMe7go_8zWQk0y1a6ZB-QYJum2g6PBeI,2477
torch/__config__.py,sha256=zLu5TzJu9Tqlo8fSaa7jUT0iPJGyuQ4I0EV24Y5wh_4,551
torch/random.py,sha256=Tn0Ddwdyd1pFcRzmrlqhNMq4PSwFQUHk1pYJ1i7mVnY,4630
torch/hub.py,sha256=FYkLmdUOtDj8lZFVpgpzCKUaxEA0OTf4ZERAJI8_J0Y,20005
torch/_tensor_str.py,sha256=mA1A7uzOjoCqzxFM6bcpdJOffXBbb6AtXmVCVdx3cX4,16510
torch/tensor.py,sha256=etanMCwBpPlaFW5W3ehYfAlj8nNR_fuDx-bOj2IGax8,42926
torch/_dl.cpython-39-darwin.so,sha256=NVHyl-mK9uPcgmKKRq-k5oQ-dUhb9A0yMfsqNTtcvHs,33160
torch/_vmap_internals.py,sha256=EgCHbANJ4ohfG4hMWVWPT4dgyntv4r3XJf5-xEBsMeY,12936
torch/functional.py,sha256=cyK7QuHpiBPdMwxdiRe2iz-tRmqwRiXDxXP857Ln0Z0,68151
torch/_lowrank.py,sha256=VGNpNl7ZTuN0P6RZM8GLoiH-QC67RZURJ_WfaNQEAdI,10707
torch/_appdirs.py,sha256=6Khzzyz6qbmOYFa5jHCgULrzXF1AWI0rUM_-gDGZilY,26244
torch/storage.py,sha256=lef1q8ULE7IjGZ3USDhSVQRJnWES2SXlXSL6hdyCiJg,5762
torch/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/_lobpcg.py,sha256=W8AQQhsURyzFznrga5TKyIPeENV5qb4QZlISHyVD6jw,43955
torch/__future__.py,sha256=C0IDWmqnbkDgTdDUDMRP3_uW5-8joMyBoF0stq7-vDg,813
torch/_python_dispatcher.py,sha256=3xLZnKXB4kPPJBevNKpdjHPeTjenMmr_bDeUgoThYM4,6766
torch/_classes.py,sha256=OxlVXVYa3YDVBUB4f3Cf4Yyx0LwiuvCoLbcn9jy-yto,1687
torch/serialization.py,sha256=LH3ks8xXslVmKXSrHs5kHjcRDlMw2fjT57n4Sy55wR0,34753
torch/_utils.py,sha256=qFHf08SV3dp4J2strI1H9i02Hu5zqtz0uwhqrjLNSYA,20338
torch/_C.cpython-39-darwin.so,sha256=u4HDSUbzPsCWOuJg77CZhjbnGwBV-1AiY5-V_nOlVV4,32968
torch/futures/__init__.py,sha256=eOYt1ljcoxqePXbE8FJl_v3qGUz_68eak7z_Vvnr3sU,8596
torch/linalg/__init__.py,sha256=pj9i25eIRLlYOJeLlYKGUThVBGqc_2TmrYhxVBs4fGQ,44604
torch/nn/common_types.py,sha256=M8LbPzJIu9jl-KN2mOHBTenSqJpP4rs8f7f0d1CWr1E,1841
torch/nn/parameter.pyi,sha256=Wv_xz9ZXnIKRNBDebgQJpBWRUBw1ig5jaWDz3It3HF4,464
torch/nn/__init__.py,sha256=qqeHXuqkGSM6XWh8L-XGLKU81jPZP1TslB2KaKujNEY,154
torch/nn/_reduction.py,sha256=XzBngg1PFlr6VUEQers4I5s-j0Vtf5h04SjEKlPpTbg,1564
torch/nn/cpp.py,sha256=bS9-b7AY5bcLr0cBT3fGrcmPed7LNK2o-GlW8gvQ1og,3022
torch/nn/functional.py,sha256=sQLDLZRT9bO_0TU-E_AggLFxOIA8P3qjT5JHCanyrO8,193773
torch/nn/init.py,sha256=Rg7WFjOBotl37jm0S02U7YP-AdfH6DUybmWJ0QnBEeg,18283
torch/nn/functional.pyi,sha256=21hT69Tnku6px7nL5KViXlvNn3V3wF_ltRxKDFWfAEM,17603
torch/nn/grad.py,sha256=VzW4xwg7Qp6T3LgHtJmCSn1jaVHPe6TszCDZFkodWKo,13980
torch/nn/parameter.py,sha256=aX_MT6D_Zmn_MabMFDgZmk5tz7XylZat8r8Rue4ll60,5685
torch/nn/parallel/data_parallel.pyi,sha256=54Ls--TDaH9i6Y7QVVuFcOw9MSylRQRbjqrbnmEzSVI,717
torch/nn/parallel/replicate.pyi,sha256=iikTrk-0AoJ8d_i-j8Ve1KcdOTPES-TNdOcoDD7ZBMc,245
torch/nn/parallel/parallel_apply.py,sha256=Yci36W5o4i4OVW832ZV7HTlHbkiBN-yjniSXPmYRRb0,3216
torch/nn/parallel/comm.py,sha256=Zhtj9I8NTbd8URup_p8Gx49VsZb9qjkAxUalMQiLtFA,10788
torch/nn/parallel/__init__.pyi,sha256=y0VCaWJeNtKuruk2JU3xriC0XOx9l6IvOUPoelC-BQo,336
torch/nn/parallel/scatter_gather.py,sha256=5PglzHzZCGsgO15f-FCATl_nO8_0Gj6Ptxh2od_T9oc,3018
torch/nn/parallel/replicate.py,sha256=KYMHJ54M234LgpGRwZbprBwmIYRy7WpDnJPlyqHfYgY,6007
torch/nn/parallel/_functions.py,sha256=cXwgWAcSx8s4vokapQZXtVJL1v91lawWjNo5Fkk_tM4,4567
torch/nn/parallel/data_parallel.py,sha256=6vhCndRHYWLXuwEATpd8YXx8l4y9uO4rppUS_aIerww,10120
torch/nn/parallel/__init__.py,sha256=gWwfsEeOXMaJ78fTbP3E0_-x1t59JrbZxxKMdU8CrMs,645
torch/nn/parallel/parallel_apply.pyi,sha256=QD6JobHCMZ3A-e7ipZAXWMnMTFbmDNW5mU18LFi4Edw,293
torch/nn/parallel/distributed.pyi,sha256=JrTVs_9PurScATaqQ_q8M5KUPVjryQCkLVlyXW73jHw,860
torch/nn/parallel/distributed.py,sha256=PRa715b1wuMPT7GvPn1z5u1jPW5Owt_C-SXVTIZ3vsM,60670
torch/nn/parallel/scatter_gather.pyi,sha256=GP3v7_dIX2E3Fqx33BdxC-efwIMAhjgXGAGibWh_izs,1006
torch/nn/parallel/common_types.pyi,sha256=dtjbpgyeXPzblfpxEGJLCCQC4anQoKjCLLEKjzlQGsQ,123
torch/nn/qat/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/qat/modules/linear.py,sha256=2ulWJpmr_RUVJnvUZqhWw8roeW7pulVI54xPYBBZFg4,1841
torch/nn/qat/modules/__init__.py,sha256=C0Dl2pCQ_9x-9X-Wk9SbINOfp88ffxz4nRSze9xlQr4,96
torch/nn/qat/modules/conv.py,sha256=FX-4PUHAMGB3MinRuCct0b40iwwnJ0uAMsoNrH6Qvks,2292
torch/nn/quantized/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantized/functional.py,sha256=3ekHGXrkPWw-tPmSgSNkzPoRIdSRBmzj4Bzk6fOczV8,28492
torch/nn/quantized/_reference/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantized/_reference/modules/linear.py,sha256=Zf_l8g8iETOViR1kvQmAGcXJiv22SpiZBRcc5BwZ1Ro,2161
torch/nn/quantized/_reference/modules/__init__.py,sha256=siOE-oAop5agdZ-OJ_HyTl24ydQV1qkG1rwxBBpyPBQ,56
torch/nn/quantized/dynamic/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantized/dynamic/modules/linear.py,sha256=i696OnrJY9q3hDfW3H-LPQRzhbVvGVKevG4Vz7RORyw,5166
torch/nn/quantized/dynamic/modules/__init__.py,sha256=gqdNy3bzroSp52An5wrTREdmVf3yx_QWn4i1-sm3g3c,181
torch/nn/quantized/dynamic/modules/rnn.py,sha256=P_m_xBHJyVPEd-5sIjrgqDlekfvP1sONWZdDZN-icco,42374
torch/nn/quantized/modules/batchnorm.py,sha256=RlhDA0RZYLoxIkLxIs7CeZHIktikR9Xphkivxm68CEo,2468
torch/nn/quantized/modules/functional_modules.py,sha256=DSE9D7ApqzUxRSvgP5dHjag2SR_mRwxsDlB7dnzr5I8,8269
torch/nn/quantized/modules/linear.py,sha256=1z6q1e_XLNlpTTu6RKbJtXkOx1fb6vcF5h1hBwhAE2Q,11547
torch/nn/quantized/modules/__init__.py,sha256=MwsrMewN7igxtJvqn3JbzkBO8PzfbhmXNTLZzKMyDCg,3306
torch/nn/quantized/modules/activation.py,sha256=IcOCo-0mOHVe1gJgOHS0u7Z1edAYJb2VuUBcsxTtajk,4537
torch/nn/quantized/modules/utils.py,sha256=sL63uQ-wDBn4Hu_4a0_ev8LGdYwALe-VmttbxDRJIJI,2388
torch/nn/quantized/modules/conv.py,sha256=S8YhfqbCSLlQQuKp62w-AnbbL4-6ZAhnlUV3Ki24Lj8,33600
torch/nn/quantized/modules/normalization.py,sha256=_02phCoNyf7YZyJFaASXuoCWIO0gqEMp_i6MHSGHIBQ,6227
torch/nn/quantized/modules/embedding_ops.py,sha256=E4yR8xV8fHPLUOGCirJ_Ryl5Z2IAK-1jueqb2kGDl7A,11130
torch/nn/backends/thnn.py,sha256=nE2JB9uT5tlHv6ImI20PbJINVIUTBAx7Vl_WZLHgk-E,118
torch/nn/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/nn/utils/spectral_norm.py,sha256=cly8v4wbflOUP2kKYSNjms3nSpBKqspK6wn89Vv4ll0,13951
torch/nn/utils/convert_parameters.py,sha256=wgHThd6vH_Lpd32rXWzTdfouc1pe2yw1yEgvc9S0P7U,3001
torch/nn/utils/memory_format.py,sha256=ZnlkKpCiPSUybJ5W3J7lL7DYNZ7wC6vFylgEQWsediI,3790
torch/nn/utils/__init__.py,sha256=n6DshqWfRqtMLvrhharqSxWX9yWb8ZQlnwVjcnvp748,409
torch/nn/utils/weight_norm.py,sha256=9tjX0CH6bAFEFPfSFOKc104hT2CVhi54BTkKr6alfI4,4577
torch/nn/utils/fusion.py,sha256=VlQwPyAxfJW5fi8Xt6HfXN2wgRN6tqYBXUzpkrTbzFA,1651
torch/nn/utils/prune.py,sha256=8LnauCyzxj8k60SYGvQXLYo7XwCCl2dH4LiTFjeOGbo,56614
torch/nn/utils/rnn.py,sha256=AkUioQD1JGUEePLsp9lno6katPzMv3hpF6XpiTopuek,17977
torch/nn/utils/clip_grad.py,sha256=Lmq2aKz7-dEBv-NOLVkFjoeQ8MYsbQSFcwKLkYBf4XI,2898
torch/nn/quantizable/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/quantizable/modules/__init__.py,sha256=hj1kHbjtMwE4j2DSKeHlUpuHahMJUpjVGIUOIVMZubY,91
torch/nn/quantizable/modules/rnn.py,sha256=CLhmK_FPBbS2_g5t2p__pGUK4f16xvILtLlFj8q4Yyc,15999
torch/nn/intrinsic/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/intrinsic/qat/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/intrinsic/qat/modules/conv_fused.py,sha256=2F3EfIxljULvHtk_Q565dYhW508HV5iYm5NmaBdllr8,16336
torch/nn/intrinsic/qat/modules/__init__.py,sha256=aQ8rTn895zw6MPUufX9o6I_wFGDAll0sfbCK5VP-psU,327
torch/nn/intrinsic/qat/modules/linear_relu.py,sha256=hlBdmPcbZbxlxL_E_ggCc8TpHHxZK0xjOKtf3oKJ3-Y,1166
torch/nn/intrinsic/quantized/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/intrinsic/quantized/_reference/__init__.py,sha256=0VHbvUZ7llFd1e_7_JdWTaxYMCvaR6KbUJaYJequmQI,23
torch/nn/intrinsic/quantized/_reference/modules/__init__.py,sha256=WXj7xEgWXEBFBM_KR3XB6HkVPWj6ZO1wtrgY2XoRinw,82
torch/nn/intrinsic/quantized/_reference/modules/linear_relu.py,sha256=fVuUjDhPABmX20c3WMYk9Za_zvrmlvq1snbZm0A8qUM,887
torch/nn/intrinsic/quantized/modules/bn_relu.py,sha256=l4U85MUDI_dmKiSKVFFUBYRjGPK3h-78I5CZv59n95k,2320
torch/nn/intrinsic/quantized/modules/__init__.py,sha256=f-CbY2BNb5WU5_IEc_CxZYdXFcautBTg1eKGCxBTrtA,253
torch/nn/intrinsic/quantized/modules/conv_relu.py,sha256=lJFO5Ys4pYriK-GWdPXx1fAetdMWp2GvgU-tWiSt7LI,5488
torch/nn/intrinsic/quantized/modules/linear_relu.py,sha256=5zD1Ckb9EKxxl8DfScYRaUE61LYqTiSrVXxYeSo_gKk,1048
torch/nn/intrinsic/modules/fused.py,sha256=pixK6ml5QCZV9jaasc5kAPwuklcGvTnBWbZqauWqKDk,5736
torch/nn/intrinsic/modules/__init__.py,sha256=Dd3KXrsswEff9GHZJKOd9nk2p7y67IclPX3TAopg3mM,636
torch/nn/modules/upsampling.py,sha256=lvMSZBKNQJqxbyDca4yci0eYfE4zRDJbYag6aY7LJRc,10084
torch/nn/modules/channelshuffle.py,sha256=4wbga7dHh4jUAe1UZvCGK0S7WuyKb64b-UOaJScTz0A,1215
torch/nn/modules/instancenorm.py,sha256=yLrMa1V54BT7p9YFWJWFJsnYwbbfJflbmM2WAOT9UOo,13491
torch/nn/modules/flatten.py,sha256=SSzwwz9Vll3KbfdadzQWaBnGNuqzFJFgtco-KyDT4OE,4907
torch/nn/modules/batchnorm.py,sha256=-0TToFBZzb7cWYSp0pB7QcaN-BpQDSivhcxwucTwFnE,28561
torch/nn/modules/linear.py,sha256=5ypadmVQLMJ8TTBuZDbHzIsUAKhLYBLyJPVmBB7sNBQ,8818
torch/nn/modules/_functions.py,sha256=Yq5ubJ6v4i1SgEjJmgyfjqEyZ9autNwGdxc0utdsGnw,7501
torch/nn/modules/pooling.py,sha256=pgcwR3IHz4CMPFpVItoGQFU2zWQdy-I68dUtZGK1Rjw,49512
torch/nn/modules/__init__.py,sha256=l_aLDHbflih8AxE4_Cozn_EnhJ1XOlt9BWoCfgOT12c,4821
torch/nn/modules/distance.py,sha256=Jdj0NPTUnADPbrv3dFGItDVRXKDDLKEmsLBL4oZ72sg,2660
torch/nn/modules/container.py,sha256=wqjJOacDjw2XUs2XoVumXpE3CwBJe-bXlrBnMNEWHog,24741
torch/nn/modules/pixelshuffle.py,sha256=40gMgOFJhdPkaf3V3ZobGRVLKh6oC3_ps_4LKOm8qOQ,3573
torch/nn/modules/adaptive.py,sha256=giA_LvjUlFZLaTmTbQV52SMdaDaDcvpdhXLjNuJ_7mo,10984
torch/nn/modules/loss.py,sha256=45DfDin3or8adkdJe0K1KpyCpwNn9lAUAfMC5VHTpDM,81565
torch/nn/modules/activation.py,sha256=NLQryGSoLo0z634a61s84u3vC6TvRH2kc53nkGxfe5Y,39777
torch/nn/modules/utils.py,sha256=b7VDFHvSC2zKpKvHbH1Mg8nrywZMN0f4UXtWaMItLWU,988
torch/nn/modules/transformer.py,sha256=5ngQsQLJGkLQka7kJ_JKF0pVH3e_Sms7ckIt_L4KUYY,17732
torch/nn/modules/sparse.py,sha256=kJ9k6a29XU8KoDUFMUIeKAl_6p7HuGY2leacwYbUkCU,19069
torch/nn/modules/module.py,sha256=DeKpwIa3nsB7zl1zX15abINz2ntDyIwnZGD3SQEH6bs,67066
torch/nn/modules/dropout.py,sha256=RD41wP4srN4rga5kOY2xKXt_Mb5rMgJBBPYilA_FRRU,8816
torch/nn/modules/conv.py,sha256=SVhVgPQH-vCkDqLxNNSKZaWjoVmHuZQwFt9evm-T2Rw,60655
torch/nn/modules/lazy.py,sha256=Kh7VcJ98oPq87Fduwx7srNJMlbjIjs_LFQeetvXyuLs,11195
torch/nn/modules/normalization.py,sha256=CED7Z734MpkdtdyONmJCQD9sIXLb0SO_PCOjXSs5ibk,9674
torch/nn/modules/rnn.py,sha256=yFSEi_1wLVECUszpxoy1-s-4VdHqTrHBy_iTwGEVQdE,53340
torch/nn/modules/padding.py,sha256=kesvZMIRLAnruOnzLtm5HDd-_W_23ENvhjAHMCjngBs,16833
torch/nn/modules/fold.py,sha256=nVooyKAO48ljMXXGOacypkkEoaPPv8t3SOEvH3rt_4w,12543
torch/onnx/symbolic_opset7.py,sha256=cQ3ia75gm8bKOoFpCCKZV43uiuY2qdIr_61KcZcqrCI,1817
torch/onnx/symbolic_caffe2.py,sha256=Pq64eZ19F2PRqecxoY1DqrtqKVtky-Ao_dpSgr1UEOo,9615
torch/onnx/symbolic_opset11.py,sha256=ILeMreIh8dsr4mwZn6f9d4i24-F1dUO3WHQfylvmmT0,40465
torch/onnx/symbolic_opset10.py,sha256=8CahlHdEwtJYiUSNMoQH2AKOqesCOcGQhT3SEqqxVDc,12235
torch/onnx/symbolic_helper.py,sha256=A2yia7FbH_0h6x-13hucf4Gkt_LZFTFigr6Su-IATN0,34922
torch/onnx/symbolic_opset9.py,sha256=hmuSJrbCfiTqPD2zmDM0nYJY2o1wlQ1px28HIhJyhn4,120398
torch/onnx/__init__.py,sha256=whTJdd9iSvcrKRTszFPsvHvQw-mKqhkFSw-ptaLUO2o,16129
torch/onnx/symbolic_opset8.py,sha256=a_tI-gVupA1bzfvlHpeskvLMW-g76P2Vrqw0c-hUJM4,11159
torch/onnx/utils.py,sha256=7h7MSJbMmXwGv41McbTCevHDL7OQaHs1mPhE63nyBr8,59676
torch/onnx/symbolic_registry.py,sha256=b_MRZDVlp_UkkEOn_AKoNpVT7M-qWItwk6X0xwQ9rg8,4896
torch/onnx/symbolic_opset13.py,sha256=vepMOtD6HLFbSQ60UpEEmT02D8HqL7NPNmucS5316D8,7997
torch/onnx/operators.py,sha256=8pD4ViX0prvPsOEH6b1lzfZgra_YAuOpLw2zesdIr6o,579
torch/onnx/symbolic_opset12.py,sha256=lpiRTjQAZZhMg3UkO2qbOgfWJqhlVNOxpOnsSpO-EvQ,7723
torch/bin/protoc-3.11.4.0,sha256=KMUI7luO_60dH30LD8CINxkdWKpEWhFTEQiVmY2JSkM,4145184
torch/bin/torch_shm_manager,sha256=Rem9TQfb4IdnRwqWqL0Aml4B9q2bveHBJLnUdIcCWfA,59896
torch/bin/protoc,sha256=KMUI7luO_60dH30LD8CINxkdWKpEWhFTEQiVmY2JSkM,4145184
torch/distributed/rendezvous.py,sha256=R0yKGkQ1BJqp1eMDBoIP-8N2uVrscYn7x7mnafrAucU,7399
torch/distributed/distributed_c10d.py,sha256=wdjt-MowfUZjKkksVFoJXWhvlcQNW4uH-8iFFUdQT80,94787
torch/distributed/constants.py,sha256=rJJio2CQKzaPqv9rEIPgtr4Lzaya7uoYHehxWqw9hZs,397
torch/distributed/__init__.py,sha256=LZw3wkJkwpNplo4HlX6H1hmyR6fWBWVOu56LLBQFKpU,1508
torch/distributed/launch.py,sha256=E8CdeMjQUHv3EYxan9YabBdow8nlFVUcVXdqZnASq38,14591
torch/distributed/pipeline/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/pipeline/sync/worker.py,sha256=A1JVK2O1okG26eTWcEkCDrwLkY_rIIRHKVm0WnuTfl8,4749
torch/distributed/pipeline/sync/phony.py,sha256=9uqq9TofGyBI43tnDtacUtCvd4mtt6-IleI84WWhgEc,1536
torch/distributed/pipeline/sync/checkpoint.py,sha256=4pHRuSA_iy-N2IYVMO7qLorio8J2SsxGz-VdpHMMN1o,10216
torch/distributed/pipeline/sync/batchnorm.py,sha256=ZlI48ujZN6eioVTSLwBdrFL7UXiYsyawEhZZmHWAPcE,5704
torch/distributed/pipeline/sync/__init__.py,sha256=ArjKtBeVjmkbdpnilU78a3PcgVLw6obv5S65VWai1gc,407
torch/distributed/pipeline/sync/copy.py,sha256=A03LwRB1Jf8XJiXu_L_PNNrgIX5SNll7SQqBTYqpTCY,3558
torch/distributed/pipeline/sync/stream.py,sha256=E4Ql3qdqH12W92dADNwQIXEPXIaaA4oW5cgHbz6eE-M,3807
torch/distributed/pipeline/sync/utils.py,sha256=u2bEinM47Z_ndplI9GIY6EdC7lk8ctrwyHL26E1uCms,1147
torch/distributed/pipeline/sync/pipeline.py,sha256=WkC-zjjGTohY_g8aqvMEQoj75Zcfe4PQ78u8jnFF3fU,9518
torch/distributed/pipeline/sync/microbatch.py,sha256=Ojmej-eHkR2pz_-bF5c_S5dWWtFZCRnPkW-VeGHvzvk,5393
torch/distributed/pipeline/sync/dependency.py,sha256=-0JlkA_aDCyUb6-qD4YaaKIfKhmTVI3slqpuyHvP5l8,1654
torch/distributed/pipeline/sync/pipe.py,sha256=HmT7FfAml9hQzs4Uo1VwGAuoUoY1QHWDgSn18X1k92g,13159
torch/distributed/pipeline/sync/skip/portal.py,sha256=jm7kb8HObqpS4VaeDsSjOyAaci94NHau91cnrD_K7z4,7167
torch/distributed/pipeline/sync/skip/layout.py,sha256=0k6wdHe5XlYsvzdpt7WNNT1Q23bSKwvpHw8AIqJ753U,3176
torch/distributed/pipeline/sync/skip/__init__.py,sha256=AuGBWFk0ybIpaWbXk5fWyrxSSSrgzYp4X6nFeD9opaQ,450
torch/distributed/pipeline/sync/skip/tracker.py,sha256=CSvzCKU4N-6t9igyjbP6hE3oejoTH3fFEsSXAkt7oaI,5957
torch/distributed/pipeline/sync/skip/namespace.py,sha256=LHx7iYt-NMgLH2YDrLltPUjxgoErK734DrtDfQtNYQ8,1462
torch/distributed/pipeline/sync/skip/skippable.py,sha256=11f_cPBiu8AOVHzOxVRFHxrcxcH5FlzKbB3oErbS_Sg,13956
torch/distributed/pipeline/sync/_balance/profile.py,sha256=SIfGhWO3045EIlFMD9_ZelOIKlnIfcQnLo6go08S1Wo,3543
torch/distributed/pipeline/sync/_balance/__init__.py,sha256=PeMOz7BqPhi4qAptoE4K5tPzkr3lzsyy2dAEmP7-YTU,5293
torch/distributed/pipeline/sync/_balance/blockpartition.py,sha256=t0zBDjTHzFcrUqgyKKCHyrSrTAZPuiM66q28U66XfZQ,3161
torch/distributed/nn/__init__.py,sha256=qtX6tC6hhRrTJMza_XQ3zKrtHih9jIxzet3n-DKpbIw,70
torch/distributed/nn/functional.py,sha256=QPiCtSuFlMtHaHr9iZXXZQJviyFmD4PFYQHmq1Vq4ek,8162
torch/distributed/nn/jit/instantiator.py,sha256=DVWpF12praAMSRe7m9LYgJ_dR0tqTsUgP19xmuXCghA,5183
torch/distributed/nn/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/nn/jit/templates/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/nn/jit/templates/remote_module_template.py,sha256=jJTiUPI93VmZ80Q6T0kv68CEWyPK5R9-KuTPX_CbY70,1073
torch/distributed/nn/api/remote_module.py,sha256=puYVXCwPaQrJmvfOrhpHpnLZLiCkYLyNlaMx_7AcsYY,16408
torch/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/autograd/__init__.py,sha256=fwLCoarW9pI12YULlQ79NRCksQDziFbNRwNaLg9W5Jc,1599
torch/distributed/algorithms/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py,sha256=LRPMoPG10ul3_ypdSo0hK4o5Z4TnH2jwaMWGZyecQWY,8257
torch/distributed/algorithms/ddp_comm_hooks/__init__.py,sha256=AvvrBCvTY8x3NaQgDwT6jxp5aOp9fKKt00m1VVpH-b8,3154
torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py,sha256=8CtHNJW_38bl3BSWkO_lTqRkhdqDd9TITCNlIK52HAA,4618
torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py,sha256=5VqNfsJq09KZEqBrdm35veihpnGtM-44r6OY0RiJIfQ,28219
torch/distributed/optim/__init__.py,sha256=f0ixDzmtkIL7NTW7rpg5mE-w6ji479I-s1q0VvhuVCo,457
torch/distributed/optim/functional_sgd.py,sha256=AjWhTHtVUTHloHoNJqwPIJGLlZFkfNYqeaPokJ61NKc,3151
torch/distributed/optim/functional_adagrad.py,sha256=jFTb3wGwurBeWZcuqApKiJ6YNc7EHF6FWvCLbVvDxN0,3526
torch/distributed/optim/functional_adamw.py,sha256=Ve3eRusCMocpkXcwcDBiPUxPK_wD7YcA2dWh0zOX7IU,4610
torch/distributed/optim/functional_adam.py,sha256=WLZRHQnbj2YNz-vk9-dJpx5wuQ1iewqVUy9EsU7cpYw,4595
torch/distributed/optim/optimizer.py,sha256=KGUtDJWTahE82V_qwbbqcqbdCnYN9d9LQ1ws9L7vKBc,10498
torch/distributed/optim/functional_adadelta.py,sha256=y8dfxGCqM5X7XlbYKo3gT-M0S-SFSnzjwIZjyA6ZWeU,3034
torch/distributed/optim/functional_rmsprop.py,sha256=RlTj_j1adMvy9rdscFOvPGLwYkPsyTFg0XQhb86P1Tk,3726
torch/distributed/optim/zero_redundancy_optimizer.py,sha256=5NgQkHFH4M9qImZ4dUiDDUkwitJSYScu2UNNWe0BeIo,23137
torch/distributed/rpc/functions.py,sha256=EhN9ALjAKbGiylkGMnK8KrF5xtOWLXMBtKt5VkQv3_c,7213
torch/distributed/rpc/options.py,sha256=bjqLzXhOlibwYAe6vobwW4Jnc9GkG0PGCH0bziP9GCE,4960
torch/distributed/rpc/internal.py,sha256=3OYZASs_N9DHf6AXtD6HaM4Hsm0w8XxR-7RToLve3jc,9920
torch/distributed/rpc/constants.py,sha256=y_vtNzndpdYXgkr7ddZX2TqIr9YpwLsK5HWn1L9cs98,912
torch/distributed/rpc/__init__.py,sha256=29jXaPu27AI1k8yzMSLKBjOlFYj1xHE3ousbWyFa4nA,9536
torch/distributed/rpc/api.py,sha256=bQzaY99_I6Xswl3otXpyEN1l8K2D1xw0cv1auU9SfHE,34504
torch/distributed/rpc/rref_proxy.py,sha256=pdP6wwCDCkuSaPmmUO4ouNZm9fJg_PenSHT3saUPToo,1590
torch/distributed/rpc/utils.py,sha256=m8vOYKCHWmKM12uwfJ5V7hS81JfgE7MMwyyXoUO7Tfg,1445
torch/distributed/rpc/server_process_global_profiler.py,sha256=JlOlpI84h3nd6w5bzvrV2IvDkkZhoy2c9Q-fj-OEiQc,8115
torch/distributed/rpc/backend_registry.py,sha256=HGRg9qMJmEhbpewSJobzDHHIgCzVVuVUFiv4qn7K69Q,10137
torch/distributed/rpc/_testing/__init__.py,sha256=dcmdDxkxkXCEsMCbgCBigX35y9-mIJSMJiDxHLd-BDs,478
torch/distributed/rpc/_testing/faulty_agent_backend_registry.py,sha256=NXfVMoWOP_-KkBzHyxl8qFAm1xXAFvseCeoJHF8qDvQ,2527
torch/autograd/anomaly_mode.py,sha256=ltDL8CxITm-pAdoNF6x0sD4EqQRLg3Kwf_oJFYReDG4,4264
torch/autograd/forward_ad.py,sha256=GtffoMhzUyzgtn0Yf6isjGaJSNBI6BExbvHcLqJkNFI,4025
torch/autograd/__init__.py,sha256=j5YAOryZEg3Hptwx_goFP1kuKbdDxS5bCv0x_dtTL_Q,13075
torch/autograd/variable.py,sha256=Gxq43lGDW_FxcwStMt8KZeVru2-vFXAwF0stHIk-Lpk,445
torch/autograd/functional.py,sha256=nYKChbmPnfkwlfKbUYCXdcOAs3GAruoASjZpycgUwvY,42831
torch/autograd/grad_mode.py,sha256=h7-pZRfdX_F5A8TQMOzpopXq6qq_ANsjU0OhysjQQwQ,6780
torch/autograd/gradcheck.py,sha256=LrhlaKCN-ITvJCM6JA6SfPyZNX65qYoZBVoxm_KHFts,32863
torch/autograd/profiler.py,sha256=BHQasoUmcMU9kc3Veh6BKWJGdJ4cF_JD4-k4Uas-eGs,70985
torch/autograd/function.py,sha256=-t2p6scaQDiKwgCDdp7Mx9L3lcqM99cVFbROKBuG0Gc,16357
torch/autograd/_functions/__init__.py,sha256=6BwfWeLvhH2iJdsJfj7iy1EfuQUt5z8_8mcVCJkuvDA,22
torch/autograd/_functions/tensor.py,sha256=L4bTXQOw6fSaJgFo1ywqJ4j-fwIRih1_p037nlVVwkE,1808
torch/autograd/_functions/utils.py,sha256=_WIEGu5CiXBuAnPJQNSLJBKs_ybe5U9Z7rIsdrHD_jU,2031
torch/fx/graph_module.py,sha256=w31jS5JBNAyHWmIqm7t82PeGX46tRbqSIcfHd8YwZpo,14755
torch/fx/proxy.py,sha256=H2ZLLlz3OI5fb6lDgANTtNgQ7NCmODSle1mNWZ8iDwQ,9357
torch/fx/graph.py,sha256=wdGkCxyJFJ8XXWV0fBnUWHxMVPHM-CpbJ4Pw0EoVpuk,37369
torch/fx/__init__.py,sha256=taSCdXIVl5RXgA1mokjYLk0xBWlDngIofd961sAYmNY,3814
torch/fx/immutable_collections.py,sha256=wiCjmY-ZIdsz293evr-cw0oTBndflvlT_heimgNpJhI,1151
torch/fx/subgraph_rewriter.py,sha256=EoyOPQya0jd9_Fb-0AmiUfbI2HOdDqZPT-0EmSdyrqI,14682
torch/fx/interpreter.py,sha256=IY2JdoB39ZcvR1XWmiQYLXififKbhkTgxuSlocNrEkg,15706
torch/fx/symbolic_trace.py,sha256=I5hNEoIKQclql0NNNuBcIRs3m3zzs5beqQdVvz6WYKo,25335
torch/fx/node.py,sha256=jMJZkw6TtuFOYMa_4WkoIfHFAi4akOrO7ChrkMVVGpk,11539
torch/fx/_experimental/param_fetch.py,sha256=-S6UcG4Lo3JuDn4Fls8UH2lXYUr2oDrwNyaBGbZg0Mw,3248
torch/fx/_experimental/fuser.py,sha256=6cLlFKP9TEGzd0O-uW2vGDcgW4k2_CXWr1pPIQqwDFw,2557
torch/fx/_experimental/partitioner_utils.py,sha256=nwFf0xscrn6czrSmyLKiS5Pi5FpVIwmC73-1KodBp0M,11775
torch/fx/_experimental/rewriter.py,sha256=77Zih2wCzFYAgPVkO50IreivkORJ8xfAVux7Gx621SE,3582
torch/fx/_experimental/const_fold.py,sha256=hkhRI8A67NyFS8pxdD8E1RrNhneVZ8fhE8n-uSUHTrc,11466
torch/fx/_experimental/accelerator_partitioner.py,sha256=X9Hc_GEUV0sN8nCgMTzqkKWfHML_E3OiwSHPRScow5I,42578
torch/fx/_experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/fx/_experimental/merge_matmul.py,sha256=PolG1ZvVWC7eD-LXwqqIiLt7bT0cFMFZavrt_JjN8TQ,7903
torch/fx/_experimental/graph_manipulation.py,sha256=mBcZZgVsvk3T-8RPjwTcd11-3O_nS2GtTJar8M2siFM,9044
torch/fx/passes/shape_prop.py,sha256=6SBo1RhAmQgijW5dWKiPKAFof9c_Y0wlJMvVxMZY5qE,439
torch/fx/passes/split_module.py,sha256=qjSVs-wIue_KY0lw7afGg0MuYYxOoTe1II02KGDPvw8,8589
torch/fx/passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/multiprocessing/queue.py,sha256=lRTpHldN_AG0rgabPFxDDBW3pTI9mT8Yi8QtBkBGlbg,1514
torch/multiprocessing/_atfork.py,sha256=fkTBwqdQJfZMEYlnb75SGOx6U1GWYKddePcpOY2RuR0,788
torch/multiprocessing/__init__.py,sha256=UzmUcuSZJ74b2EgAAYISp7qccHpaaAMMTBNmzNFrgQs,2449
torch/multiprocessing/spawn.py,sha256=rpuu818fw20nNsZvqJ28u4DAL4qky1MUD56s6VBHGEo,8397
torch/multiprocessing/reductions.py,sha256=dfKwiH2s_dKiXJLt9cqyjG4yVmDk1K4mWHFgKiOuwfc,14650
torch/multiprocessing/pool.py,sha256=3Nd2WLsWf9N8LH5HgHA3fDCu_VxlknsqVZIYfK6B6Ik,1609
torch/cuda/streams.py,sha256=1udk7Gxg-5xtvMRMX71ovetbHDA84v7eziUym_9NNRM,7246
torch/cuda/error.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/cuda/comm.py,sha256=U4sw5Dt_95NynIsC_UgBE79RHAjEJ6_RtEgi6PPlKrY,293
torch/cuda/memory.py,sha256=1PncTc-dQGg3_9UjF2T0Yy_QSx0Kn5jlJIuWz1ASdsc,20501
torch/cuda/nccl.py,sha256=szHB9AFOh8p5Ze1xBLww9uMBuWix9DGTagbcoFHdJxE,3860
torch/cuda/__init__.py,sha256=IygZ0fy-Bz_Tv8T6y3xCog3yX4vrJs4vxNk0MDMcLpY,19199
torch/cuda/random.py,sha256=s8fbpfcOUYfz20VaCgSlGGrVEta_CkVQk9me5oNOQUg,5197
torch/cuda/sparse.py,sha256=H912FRisikGM9SSVDQQq-YX5TNIilBYBZs1AwmIv3GQ,67
torch/cuda/nvtx.py,sha256=IrVkWCVfn-U_ILRE1V2I-mQqQgvlJWFBFP2DmvD-Rgw,1508
torch/cuda/profiler.py,sha256=LXFZPGJwRkr-ZkJNiqtfcmIpTFegvbVS90pfsLIVJUc,1221
torch/cuda/_utils.py,sha256=8JO-OZSeCJ--h0ErG-XnG48SD1bm2mFA4Ii30F1oLWI,1859
torch/cuda/amp/autocast_mode.py,sha256=MVqa5d392BRm6DPIHFRJKCzgU8bHMKBmhpCwx7lhbCw,10129
torch/cuda/amp/grad_scaler.py,sha256=o_2Pixuz5V67MyWljif53-VlA448Q3m3L0G3vxDT-wI,24820
torch/cuda/amp/__init__.py,sha256=6bZDIBo2b3MNWPBIK-Q-3h8m9phWK6tq9TVIJiJ_TPU,124
torch/include/pybind11/attr.h,sha256=T2qYd0t_J8vJHldi_zvyQw4pGAfJsmoaFYAW792gS84,21412
torch/include/pybind11/embed.h,sha256=2-MG1gzWg3I7bRQvG6slmO1bWciavCDwKnCqQFUd1v8,7843
torch/include/pybind11/numpy.h,sha256=graD7Kklz2f63b5Xi4rZNBzZ-lILk8JMAhvP8V9wUmU,69310
torch/include/pybind11/pybind11.h,sha256=Oqc_A-nx61aNrrF6AwhTx42bGj0ZemeKhuyoOu2pM-Y,111558
torch/include/pybind11/operators.h,sha256=bKrLYtY7ysm8kt4_aL-imhNx3xFy2FXt5osy5R1vTvI,9085
torch/include/pybind11/iostream.h,sha256=UIF4Nq3MXzRViJPPlx3q3EFVpEihPztsGpDhW7Z3eIs,6001
torch/include/pybind11/chrono.h,sha256=4cQnx50X6HkfUge9mu3b0iVaFb2KZ-gqaHwoSuJc_DM,8185
torch/include/pybind11/stl_bind.h,sha256=4YIx-j0NShE7Tvsj2VQoeaAFHbC1R-MjQ1Bx6H8_Ge0,23912
torch/include/pybind11/buffer_info.h,sha256=CDyEJFCc33OlagefWiynwJPkIberJ0yFB3IldbDBRPI,6118
torch/include/pybind11/options.h,sha256=5MB_-Sm1vI5GUGYOWX1lPP3mE-EJ9VBCOnigpzLyYRU,2049
torch/include/pybind11/functional.h,sha256=5opkJaVD6Ds9w0jV8lpWiv8GkxJkj7u8sCHq29m3Tr4,3709
torch/include/pybind11/stl.h,sha256=LduC5U_sN1HGqgnrOmZy2sh74cC1kk_cIH_IN3glUp0,14136
torch/include/pybind11/common.h,sha256=ATg9Bt1pwF8qnNuI086fprM4CUTdrZdk_g2HXE1Sf6A,120
torch/include/pybind11/eval.h,sha256=TMD2_DENeemkumLoMsYgbzYtf7H7hR7oOV3hAyiOocg,5079
torch/include/pybind11/cast.h,sha256=1OABcsatSoRO7woUzeRkcjfbHWsmNlRJ77dGNdn8_hs,95557
torch/include/pybind11/eigen.h,sha256=uyVn9JxFqrWmUbiw2XBoq72x4iqZ5bNH0Fy536q2NE8,29086
torch/include/pybind11/pytypes.h,sha256=TvW3A33yQEKTs_LJeOGYFuFvirhQPDFV9C_S-vT4yuI,66118
torch/include/pybind11/complex.h,sha256=xbnVAoEN5FAiN7pf_585mPZ1N86o5djHBWnk-38VzsM,2037
torch/include/pybind11/detail/typeid.h,sha256=dQAZIqTcs6pDU7bVkrbSshbL64wlfsbAQHc5k7bGPLM,1486
torch/include/pybind11/detail/descr.h,sha256=8Kp2nd0LJhbO-bnqOapPQgOQi4XVoD985t4fkOcwLvY,3602
torch/include/pybind11/detail/internals.h,sha256=H8xIgGX58FvDPw2BlAshGdoCdBtXVGaVsrF6EIRlusw,16375
torch/include/pybind11/detail/common.h,sha256=rVVN3SO-71PXPlCdwWu7qr9BIO6P66BE9Gbk8SzF41s,40457
torch/include/pybind11/detail/class.h,sha256=fEK-WmSeay0PWoQ1emW-WcG66Qp6AGsjgkLqiNtGhGI,27823
torch/include/pybind11/detail/init.h,sha256=xdZn5UE_dr4kfSWcntL-eS7VD2NOqM38PNnMMoxH0rw,16397
torch/include/caffe2/video/optical_flow.h,sha256=KJbAkebKlu4sTE44TwVmk9ZXWr9BDOXTxC4HfajbbxI,1306
torch/include/caffe2/video/video_decoder.h,sha256=JoykGl7xEcIKZ12hb6c6erSzBz4OH-FR9zYTFy_xuyw,13872
torch/include/caffe2/video/video_input_op.h,sha256=SEDnaPD6P6JnUSz3aoL-rHche0zmzd6CJz91TokosqY,34806
torch/include/caffe2/video/video_io.h,sha256=Vy3eZ4YNQuDA_XxYLrwnPY7BxzySznIUryymdVXJNwA,1296
torch/include/caffe2/ideep/ideep_utils.h,sha256=UviafLqly8dxp5MO64tzgj0mElIwcmaBGW2Dtvg9v7M,2209
torch/include/caffe2/core/net_async_task_graph.h,sha256=NZmvo3U4wTlEQAvQfo5N56YCA144O3eeTNDCzRk9FUg,2253
torch/include/caffe2/core/net_simple_refcount.h,sha256=a9c59mLl-Fk-aALgf7gVa33-_fuC5t8Q2c6S7QmSkMI,2097
torch/include/caffe2/core/tensor_impl.h,sha256=Rn-Xoc6GNM8Wa16CkCUh0qJMGBISeaF7ptdZeAsfjWk,351
torch/include/caffe2/core/plan_executor.h,sha256=vygq_Vw3qfzo12FcQMM0at-_emtn7435EHrSzkau34s,219
torch/include/caffe2/core/qtensor_serialization.h,sha256=BDlRBQS4sexgFNYb6F80Lu6E59AiO35FcNTN2-VkbYg,2624
torch/include/caffe2/core/context_gpu.h,sha256=lyFOAF4SxUwHwwuHVWCbcDPjv6l8D1bAAwBKyAFHaxw,10827
torch/include/caffe2/core/observer.h,sha256=rZfF0aCOu9fjgQ2cVJjDM0-XOWSVADIS7-IZjM6_xgI,3809
torch/include/caffe2/core/blob_serializer_base.h,sha256=KFHfAIjnuXQ12RBsZUjg5VWxDnmQIhOayKk8NcBGTHA,3031
torch/include/caffe2/core/memonger.h,sha256=EL6TerNpq37bIWfHP6pUQyAhmsFxAt-ZvmuAYlCkOao,817
torch/include/caffe2/core/tensor_int8.h,sha256=Y-S6sIvXgDRQnJfxVqOF5HIvpYBctP-8ZEeo9zkKHwY,450
torch/include/caffe2/core/static_tracepoint.h,sha256=0cfAzDo8d3qz837Mfl3rxJ1_sxa8PUsU-I8ntrkZvck,398
torch/include/caffe2/core/net.h,sha256=C17OkQhSYWA6vNIzQP0Z56wIam1vthpzvb2Or8u3l8Y,4634
torch/include/caffe2/core/numa.h,sha256=-q1_phe-9-lOT0eMeiRXe0Vg7WLPKvIDilaC5RcdJ4M,72
torch/include/caffe2/core/scope_guard.h,sha256=pP0JE-XBukuRCai7B3ATeRhBZdb_xfnMTpyzMFMRQtk,4675
torch/include/caffe2/core/test_utils.h,sha256=eJt5pBoPAb81W9jeOnV6ktluAErjOMNDBlk9dtqFlQI,6213
torch/include/caffe2/core/event.h,sha256=cRM1y9F4BniKjQ8yuNxUHetBULaFxG7AJA0Fxe-zNy0,12420
torch/include/caffe2/core/types.h,sha256=FJQckMblE-LhAIAPwvKQtmm_WNkVg7ByleOoCB4g1KY,2248
torch/include/caffe2/core/context_base.h,sha256=_1eLcAahu7-8gNrUDk5F-qZjzAzWWg3ZiqMX-W1tHZw,4378
torch/include/caffe2/core/operator.h,sha256=i_03jTXIqV3ZPFa9JDgYQnUyFohdqLYNeC9eiTg_S8M,59173
torch/include/caffe2/core/db.h,sha256=QVoO32FnFHgCwyNdmKgll_xBbbCL8yvXIhN61FpyZjw,8816
torch/include/caffe2/core/blob.h,sha256=DM9tj54qoMkTR_P8jQm657154D44_nUayoBo-d7CjvU,4168
torch/include/caffe2/core/static_tracepoint_elfx86.h,sha256=DBp_tYrmBD4ghym_mYR4Pmd3pIyqIcWmI7Ex3qmIY4w,5555
torch/include/caffe2/core/net_async_tracing.h,sha256=KeAfqoTSTOI2YBWxOiRhCUDSCa00Ohw1En0gAGvxlac,5021
torch/include/caffe2/core/flags.h,sha256=snr2KJEttrumKTuwhbY1hpKR9kbZfxpur5cntZvuGko,74
torch/include/caffe2/core/net_async_task_future.h,sha256=REYwXyomHCtGKTCGehrZsnTRmW_5fg-v-HonJJ-dVQE,1925
torch/include/caffe2/core/operator_schema.h,sha256=WXtBCb7_XUB8RroukeGlJ5HgvgohIw5lwBHqlCCu3zg,18677
torch/include/caffe2/core/context.h,sha256=D-ouA6Y5u1GKKLwC8m8PMcCVC_oD8GjDvMGmZL5GCIo,5234
torch/include/caffe2/core/net_async_base.h,sha256=1NVmwQPBVgJEoXLpBAgLNSYjUqU0QnV3JaAfOhHt4xI,7397
torch/include/caffe2/core/prof_dag_counters.h,sha256=-sPKw_tckYaBaRvEgVqpimoiCtE_Krf9wyxGk2GJlZI,2751
torch/include/caffe2/core/logging.h,sha256=WjNXUhorDfElPj3qGfIJiYbCUSiKuWUdJj3eaFBqJu4,75
torch/include/caffe2/core/net_async_scheduling.h,sha256=2Ub9o1dXvZVpwpaNZWPjJ61pVOaHKWT5CNes9xOHCBs,993
torch/include/caffe2/core/graph.h,sha256=WJYXG1K_t-pGKnlRKG0lAGCb8Lb1HIWEauGcd7lZXkA,5258
torch/include/caffe2/core/common_cudnn.h,sha256=A1XcfsOQBkHr703MJPZtYNkAcZX1O42UzdkfhLfPcOE,9893
torch/include/caffe2/core/net_async_task.h,sha256=VjXLJxrphQ_90Iowr-W4-8AzxrqSfSEUgbK4KUeJb50,833
torch/include/caffe2/core/export_caffe2_op_to_c10.h,sha256=RasI5vSVi69785SnAVgn0qAYL3AZinhIlMXG-7ZN7_U,11095
torch/include/caffe2/core/net_simple.h,sha256=G3WlI3J0169BhwRVyhbiDIU2K4pyIcaUvZFZpMDky-A,1436
torch/include/caffe2/core/workspace.h,sha256=K9ruBKCu_XYsKkP5Qn5iAViSWbv0pXbPdmSv_27Bwj8,11268
torch/include/caffe2/core/timer.h,sha256=RDrnGkzLCVJtarLuTCNzNCxuVkNCyRAOaOyMISGLwoM,1218
torch/include/caffe2/core/event_cpu.h,sha256=-zCs5aaogLBsE8jBjDqIcYq2_JCqyVP8KNsDjqGwPC0,1192
torch/include/caffe2/core/common.h,sha256=LPCikZf5ugMZckHcv1PBXBnDsnZDGSRRG0SWzrYx2mo,4144
torch/include/caffe2/core/blob_stats.h,sha256=keFgudmSjgEEy8nivKtslHGrpNJcHeQ3HvXXoP2DoEM,1127
torch/include/caffe2/core/allocator.h,sha256=8aQJ-MnoaRXBZjgrSKrqQPFYw8tGOsAq0mFAGuS44DA,136
torch/include/caffe2/core/macros.h,sha256=8e5lRBzCN4NmsXJ3JMKggYSW44-CxGDyBdqP393YFjE,3779
torch/include/caffe2/core/storage.h,sha256=jH0Uv_PlNyupq4jPCdbOgPiwAUFRoAQlJY9OygQKPzQ,733
torch/include/caffe2/core/transform.h,sha256=nYUJJR9tjGb-fRrwN4dxjOMnsmsGDqQcrG0026Gy3u0,5741
torch/include/caffe2/core/common_omp.h,sha256=LIc-4LD8RyXMKVGWR5poDey9wlhmEGwR1a2L05L6U_g,156
torch/include/caffe2/core/export_c10_op_to_caffe2.h,sha256=UNNnVofcUIeJ7fZXH9JGk4wTAHuRU7qeFY7662jJq00,9267
torch/include/caffe2/core/module.h,sha256=oI1ZRdeRT9Cn6WtMrkQE7JM06ohXN6NQ1N1qVUsjaxI,2473
torch/include/caffe2/core/init.h,sha256=MJ30PePrrmdC2Co4RA8JDaOr9O0W0DmA4L8GN7j0CBM,6496
torch/include/caffe2/core/net_dag_utils.h,sha256=MEXzu_mcvuS5IeaI1hd-Aqu84p_QIOx-vY56e969khE,2146
torch/include/caffe2/core/stats.h,sha256=nid8I97lvCAC01XfluB4d2Rjk2PQoGChKrBlxOJfHBM,10365
torch/include/caffe2/core/tensor.h,sha256=Ajo41kV1l5JrAAcmXJq_lw7N4IpM3V-JZDBEx4NuW58,18413
torch/include/caffe2/core/common_gpu.h,sha256=OIePvf-B1uGSAhkmnAuCZJE-4J_M-hn_hcRoh0SkRgY,21414
torch/include/caffe2/core/qtensor.h,sha256=I7pj9gB5Q7sof6fkFer2ADqCYGRbuNiz2bdrRn-39do,6580
torch/include/caffe2/core/net_parallel.h,sha256=29vjSgDCcGLb0AFbTQBJHUumF3G8TwY3kkkZ4w525wM,2144
torch/include/caffe2/core/operator_gradient.h,sha256=qxJLr4P-uSF1Q2m7g2SQREI0dt01sGrQqcV1GP8jJ8w,10222
torch/include/caffe2/core/cudnn_wrappers.h,sha256=Qg0JIIdzXSiLCp1dpn0lIQ4xumr3M4mcmcQRx_79hus,6956
torch/include/caffe2/core/distributions_stubs.h,sha256=jt88jrM2NtIQ71CHgxdJp_o-Udm9eS2RQfIYEjZQSPQ,2161
torch/include/caffe2/core/blob_serialization.h,sha256=7oI0XKEO8a_YUUcMGj47ckvFqjQiGgexypsY6x0WtfQ,9511
torch/include/caffe2/mpi/mpi_common.h,sha256=SyOk5JNVz_3DDQaVyEivKNlwl9ouzp5BwiYAB_h0_qE,4756
torch/include/caffe2/mpi/mpi_ops.h,sha256=gAtkdB0xvHwKNEuU07yVC7NgkS6O_yAhtvYXfjl3L6s,7769
torch/include/caffe2/proto/hsm.pb.h,sha256=dAOmZvigoGYRnMY1Wg4qZaBHyx39o8uV7hVybdGp6mw,52225
torch/include/caffe2/proto/caffe2_legacy.pb.h,sha256=H_4KliIXYNjAd0Vu_I23grD97tGLWVa6n6beEzt69pE,21548
torch/include/caffe2/proto/metanet.pb.h,sha256=2nke3EREzpnPDRSDCcgu3JRnH8MqDfnM1QruM7tDZCo,105055
torch/include/caffe2/proto/torch.pb.h,sha256=qYGXDOGq-bwyh58u9gzUMzXg2vaouWy86ZNynBxxXQk,117679
torch/include/caffe2/proto/caffe2_pb.h,sha256=euXU2wq9RDzU2eg-9WB0-mR9K9ioN7VOB7fOCwh_tbs,4202
torch/include/caffe2/proto/caffe2.pb.h,sha256=nVI0gcEiIoEzIZvV7we2Sd4_BYKdS1yuQ5tS7tq74xg,435007
torch/include/caffe2/proto/predictor_consts.pb.h,sha256=U6cgBTWQ86KdXJ3x9pR_KeoWT7ByA6T-fAZKgy1EQA4,77548
torch/include/caffe2/proto/torch_pb.h,sha256=DZ2j_GsS8JGZ8qmFJycD5HpqcPNE5UkPnZluFyLffbE,206
torch/include/caffe2/proto/prof_dag.pb.h,sha256=74C8CGPeEVZxg45YKb39a6CuqnI1Eyb115LHit5LK_k,71973
torch/include/caffe2/operators/top_k.h,sha256=HjY3fLzOZmMqLjcKQQxygb_D4_pihTnJE6MWRdkG-5w,1061
torch/include/caffe2/operators/channel_stats_op.h,sha256=rsT19nfc6Q0QrbkaUxMQzMEKvOcnaBc4o_nqI5SiI6U,1807
torch/include/caffe2/operators/gru_unit_op.h,sha256=CAr2X6vS5YHX9oPjjppJDONDsfPvK2JGzjKXQHOtpaQ,6626
torch/include/caffe2/operators/half_float_ops.h,sha256=mj9dKeXOZD5mK7yhEG92dFty5gqguj4Com2uq47Qy1k,2732
torch/include/caffe2/operators/sqr_op.h,sha256=4Nap6v7TxKvfzQZibYaNKano27-0WiG09unrmA1xq7Q,431
torch/include/caffe2/operators/mean_op.h,sha256=FH1vfltCymFZDLjUZtOUy5HV9593W0rUHrFsQ8uDkB8,3252
torch/include/caffe2/operators/thresholded_relu_op.h,sha256=gxc7Jwsc8GB6LX-U5f7Ypyzd49wGxj9G4axtkpnONOg,1137
torch/include/caffe2/operators/ctc_greedy_decoder_op.h,sha256=prId21eqtKVpqvMjsnpeVKwFhgnF1invqWjOuJAPjjc,817
torch/include/caffe2/operators/conv_op_cache_cudnn.h,sha256=-RauokyDt6E_snYgRDJyY-BuEboQ8fm-wBd1k7lp89E,1935
torch/include/caffe2/operators/utility_ops.h,sha256=BWfJ8hEvgUGXFI88fjDv0CjI5N2QbrdCAWL9Yj0Or-U,49215
torch/include/caffe2/operators/selu_op.h,sha256=5tbbAFhGl-BEFmRkjyNLXGo7gzWTktkoMS8IPi_0jIs,1545
torch/include/caffe2/operators/map_ops.h,sha256=6JSavyAnlkjmKr7MI865Y55cU6mxuZXth6hRIXpQZGw,8011
torch/include/caffe2/operators/roi_align_rotated_op.h,sha256=lAB8NR2OB-e0Yf3e2Hmy9NvdMD0ObB6mojOtj1qnen4,1636
torch/include/caffe2/operators/fused_rowwise_random_quantization_ops.h,sha256=jRGUZx2xWxLBqR8qImp7O1Jp7cP5Ng4Ndiv9b1K56D0,2607
torch/include/caffe2/operators/stop_gradient.h,sha256=OpDHiXE-ujDHPxhztygXyIc8irqe2wqubS2J0j0KxL0,548
torch/include/caffe2/operators/batch_gather_ops.h,sha256=m07WKLx_8YSvv8dTmTn4E743rt8tmaKrtLrsCIEQUfs,5264
torch/include/caffe2/operators/asin_op.h,sha256=yJbpcLDjhjQAOL030c3MMxuFSKFF5kytBb-U-CuKFWw,711
torch/include/caffe2/operators/cosh_op.h,sha256=JmSJDy4HpDGZJDT6bO7h90-V15mLagCByaPu6yHf0z8,711
torch/include/caffe2/operators/atan_op.h,sha256=MSaHEaj0SP4zh7Gy27NrvdIh0tm8jvObK5I_a8ddsLs,711
torch/include/caffe2/operators/reverse_packed_segs_op.h,sha256=RKG_14_sU_H7YBlEcBnRHtSuIXns8l-JcXtKQOICvWg,2772
torch/include/caffe2/operators/given_tensor_byte_string_to_uint8_fill_op.h,sha256=fphEiB3Cf6VlU4zAmrZkeqCifiZVbZTo_iTsDBx3Ik8,2097
torch/include/caffe2/operators/ensure_clipped_op.h,sha256=jswXhqv-Xl9h2M-2lKlDBka_GP0G-puoCpOacYTq6R0,1608
torch/include/caffe2/operators/conv_transpose_op.h,sha256=hpoQcu5GC7ib2DUjjs4JnWwTb2IIVgucgafGL29jpi4,1727
torch/include/caffe2/operators/generate_proposals_op_util_nms.h,sha256=XAGAJ6QFLU4Epk_jgPdI66KeI9erwbBw6HXD-ZbB0_E,25934
torch/include/caffe2/operators/enforce_finite_op.h,sha256=nj7pPGn1n9pRna00TdP9CNWzB40q2l2YMr7q0xpatGs,1141
torch/include/caffe2/operators/conv_transpose_unpool_op_base.h,sha256=NjagcYmzY5NS7RVE0nAKaUfRd8XTfBlvq5MS3QqsuzY,10250
torch/include/caffe2/operators/gather_fused_8bit_rowwise_op.h,sha256=o9VH5HCjqSqH7Dsla6dBu3NT9XVr3MwMQVMVoIrbLGs,2179
torch/include/caffe2/operators/batch_matmul_op.h,sha256=9ExCD7_iQoqB_UHr_zGLly9t_9Cc3qi-TY7592C55Ck,9602
torch/include/caffe2/operators/batch_bucketize_op.h,sha256=Oiluj1OntXwx3oRoGVXDg9giVqDngezM91QWQv1-tLg,720
torch/include/caffe2/operators/softsign_op.h,sha256=fgt4NHd6NJi6hR1CRN9naygrPgsGROd0wFGDoDRCY7c,675
torch/include/caffe2/operators/elementwise_logical_ops.h,sha256=mDtBwrxa3_DNeWu8iABjMu7X2sMNnE03qVwsVZEkXOM,5083
torch/include/caffe2/operators/percentile_op.h,sha256=yg-lvyTcJM0oX7z4Y3ywPjPZMvz7hcYD6lsPFRC1Uac,1009
torch/include/caffe2/operators/length_split_op.h,sha256=pDdgtfVErJjOW3niaX3GySkN__EQHna_CAGghvdBTYU,2259
torch/include/caffe2/operators/locally_connected_op_impl.h,sha256=4u0Lgck0dyqUSH_CCeEYXrHbjgNDiMChQHLmQunWOCI,26495
torch/include/caffe2/operators/rmac_regions_op.h,sha256=uZGQjfcOfU896Q3Mv7a2eSvUSwf-dKKQzxAHlEgwFwc,708
torch/include/caffe2/operators/hard_sigmoid_op.h,sha256=X581MD6VirklOz1IL1AV_bxAi73DNyVvygMhwwAitmc,994
torch/include/caffe2/operators/ensure_cpu_output_op.h,sha256=MWXDI1YREDKICMhbectB52onLgyLj5nqTEylm4h32I4,1465
torch/include/caffe2/operators/batch_box_cox_op.h,sha256=HMTfuqQ3K9B6YjXslNcJ_LLf_R6TkWtlC2wP2DO71rE,2287
torch/include/caffe2/operators/ctc_beam_search_decoder_op.h,sha256=JPvjZoLRu-JOcw9Q6ClPpalPtlzt1Fi85xeBEy0Tcqo,1102
torch/include/caffe2/operators/flexible_top_k.h,sha256=CMeiBKwj-XbdI3v-yhsD-2pana6wS4L59BG5KyPhBKU,936
torch/include/caffe2/operators/fully_connected_op.h,sha256=taC81NDpL8bGeWiTA-NkSc0ziD9SC9TwX83uMuRQsVU,9351
torch/include/caffe2/operators/key_split_ops.h,sha256=NtXYnPcLt6rxXxe6HWJ0XRX115Vh66KZb6FtSIt4_70,1400
torch/include/caffe2/operators/reciprocal_op.h,sha256=ohSxgpew6sFFBPBnXb_vRFMlUJ6K2m3h6xs0I9_yz30,721
torch/include/caffe2/operators/roi_align_gradient_op.h,sha256=r_WzYXyCacOU2hh1gf6oG2Vgm9Zh23Sgu8Wa62WssYQ,1486
torch/include/caffe2/operators/group_norm_op.h,sha256=wKwXLqca0w0KEbERYD9tQimUNPAWiU85x_GcnsjWMOA,8967
torch/include/caffe2/operators/load_save_op.h,sha256=7rFAjNoY7XCzv-5r8m4T0D8gO2MRlMKkxs-Nwvt7SW8,15847
torch/include/caffe2/operators/cos_op.h,sha256=pMgO0_ie_R7ktKMY3EbJ1wiNtEaOxnGJAK2Z2qmy18Y,705
torch/include/caffe2/operators/expand_op.h,sha256=a58IJLcHofybiCfv5dRSc8thR6_TvuOyCakZJurvilU,3543
torch/include/caffe2/operators/elementwise_ops.h,sha256=TOuriBLM3h0x6jTD2CYvk3Q_7T4vtBsvjiGOFQuA9Cc,16751
torch/include/caffe2/operators/im2col_op.h,sha256=t3Syauhi_BRJAisxjwir_cnjN_rLjThDl0EIgnwJnSU,8943
torch/include/caffe2/operators/space_batch_op.h,sha256=nqXIQO8VObqLcjafqKq5GiUAHLdTIhy7U3qVwA9e3jM,6848
torch/include/caffe2/operators/relu_op.h,sha256=NZ9rBBe4xgkwyqxZ7DF-kbbyjImjsp_owIhA7hwoPKs,624
torch/include/caffe2/operators/while_op.h,sha256=HCOya2tpf9sxGGP6947Q6U_Q5xc6BMmK5wxckndRYpA,1961
torch/include/caffe2/operators/remove_data_blocks_op.h,sha256=al9Tw075FhwbZjjCw_wlfsn_4CrGX34pbyx4YVyi3S0,2651
torch/include/caffe2/operators/elementwise_mul_op.h,sha256=Zb6C2HS6h2-v1Gl3c3QNVhHY_ENIJFpCuw_bk9Zdzzs,1062
torch/include/caffe2/operators/numpy_tile_op.h,sha256=tFyG_Xgh2gt-mTtc6W6urVHIQIb9dg-zr_XRRtY6VVw,3590
torch/include/caffe2/operators/rowmul_op.h,sha256=7MOiezrCRZGdquDpiI6fCQcMEVedHcMfAfvqSDAczLU,1947
torch/include/caffe2/operators/accumulate_op.h,sha256=ehjslLicUTZ0VJ-apN-Tm9YdAeQzdB2Ra1ZJ-xja39A,1073
torch/include/caffe2/operators/sparse_lp_regularizer_op.h,sha256=xIToRMxw3aqyGTdaSq8BcL0YxmxiB3V7epCRmOCLW9M,1130
torch/include/caffe2/operators/bisect_percentile_op.h,sha256=E9jvLv9F3i9Agcz9aoIKCMyKPB6DFs-b9uXM-f6wQy0,4921
torch/include/caffe2/operators/tile_op.h,sha256=8tG_b9PIOR-sV7kkWaZX3gSXvDDXrBtY96_B6tAhTb0,8741
torch/include/caffe2/operators/gelu_op.h,sha256=X00ol9UBotJvTxLojr_4fuXXbbC8rdaEIp5oZGU9FWc,1452
torch/include/caffe2/operators/stats_put_ops.h,sha256=DkfdHsU7Nryeq8uLraqCnQ3G5nakdnlWmlVxG5FPGFk,2757
torch/include/caffe2/operators/given_tensor_fill_op.h,sha256=n-5Ns9QIETdDOoWmjWvFTuVD2CwjU_DUjX9mxaK9QoA,2949
torch/include/caffe2/operators/accuracy_op.h,sha256=RznX7yzttaycTNXpCTtSCi_yyv-q8lzY7lDOta2rFQk,652
torch/include/caffe2/operators/bbox_transform_op.h,sha256=H5TcdIM3H1oR53xBwLwxw61xGCNzHUi0kmoZP53fbR4,2668
torch/include/caffe2/operators/boolean_unmask_ops.h,sha256=YM-Qp2k1S0_uZTdmnz_IXs2_DwzaeL80qOdaG7WNY_4,378
torch/include/caffe2/operators/glu_op.h,sha256=H52pXxFIO5Wq9nT59R8H21XfHBYCyXkxel3yVF5YDCk,1458
torch/include/caffe2/operators/resize_3d_op.h,sha256=DW6vzkIiwnHgrDzjZYhiszhXpDUukAEMPLW_DU-JWFA,2677
torch/include/caffe2/operators/unsafe_coalesce.h,sha256=9PB5vIKLF5ABtjL-YsaE9VDOUVSecjk7AoRnTVa3qOQ,2481
torch/include/caffe2/operators/conv_op.h,sha256=yu3iZliSmixC3xdh-XatxES-q6fB5JNozjJrtc1fLBc,3125
torch/include/caffe2/operators/conv_op_impl.h,sha256=JAlEZujCKZEDl5f1nxIvIEURuj11Hf2mSXIbbws9jdM,28678
torch/include/caffe2/operators/erf_op.h,sha256=LqihCkjY-GrUiCpaSHXfo_aKymG_3p_g5K0ybEnvcyw,751
torch/include/caffe2/operators/fused_rowwise_8bit_conversion_ops.h,sha256=ACvoDIH2BzjIkDJOK8Y9k5pI76j-a--LJhZNQOCUimM,6491
torch/include/caffe2/operators/locally_connected_op_util.h,sha256=pGdabsb3nfwH7E637sVPi7YBxWHcjUaeYuwgmBVyYBQ,1332
torch/include/caffe2/operators/channel_backprop_stats_op.h,sha256=xOMmMgP2mNfFMBkDGYoCGPrCdMCm06hgKMqtittJZNo,737
torch/include/caffe2/operators/order_switch_ops.h,sha256=IixaCzVPBFvh9-RhBJgHJib0DNaFyxi8214SOsAUzYY,2149
torch/include/caffe2/operators/lengths_reducer_fused_nbit_rowwise_ops.h,sha256=ofLOf-mKyjeTW5gD4XLj3cm5b2lTjUDmXfP3dz86jNU,23465
torch/include/caffe2/operators/lengths_reducer_fused_8bit_rowwise_ops.h,sha256=IbKfunOWen20aBFvbmZCDEshMOIDCkJObzdSpNdZ3Go,5532
torch/include/caffe2/operators/load_save_op_util.h,sha256=KfsAN319adnfIVIhI6BmO3rMumIPr8n9XCICEU2yEEs,1642
torch/include/caffe2/operators/conv_transpose_op_impl.h,sha256=OIXHlttpuJ2xGX2wyQ2rulsC8tEHnnp4zd9AwgWbVsU,18264
torch/include/caffe2/operators/op_utils_cudnn.h,sha256=ZbE0SmAA_aD_dEXj3lN68NyDptiK2Pb6OOiHW32-mHo,2112
torch/include/caffe2/operators/prelu_op.h,sha256=otdQeDJX1cM7LnVInR_1fzP6cxBmAhN1dEyC99ii4_k,1067
torch/include/caffe2/operators/box_with_nms_limit_op.h,sha256=sVc48Hds0HcGyvGDlWkSO3U3O4uF9dpUZSUqiMepZPk,4960
torch/include/caffe2/operators/fc_inference.h,sha256=ipvlrV93X-T5iPDensB65gPg3IOdpRsU36YGWRluJm8,775
torch/include/caffe2/operators/distance_op.h,sha256=s2gSj6qljsQ0gCqyogsGZBdFhfvPgaRAXluF3d4BtmY,8419
torch/include/caffe2/operators/data_couple.h,sha256=G6ullfYwOZN8OqfrTy4_-uDd5BwcEedZzmt-Fn9qV10,464
torch/include/caffe2/operators/dataset_ops.h,sha256=PHGCKXOeUtSK_QdbRVJi5WDVPYfZrr3YRIKviHNXbyk,5501
torch/include/caffe2/operators/merge_id_lists_op.h,sha256=eHbrz8bKqGKPXs5xFDHiBK4MxwY4G3w7RFYwqG_rnYU,2517
torch/include/caffe2/operators/generate_proposals_op_util_nms_gpu.h,sha256=bJRUPM9GHvdtXaYP8ADV3xjqulqMhxx5wfPHH5iU_rA,2128
torch/include/caffe2/operators/async_net_barrier_op.h,sha256=4gPK0fKGis1GQmyXPMBeYZFhU97G62E0B5WcBhFpZqs,904
torch/include/caffe2/operators/deform_conv_op.h,sha256=QjEeRJE2nrnzO1GxzXjFyr-oGdbH0byKtiz4aziXADg,3543
torch/include/caffe2/operators/sqrt_op.h,sha256=vft3oU5nlc0-GwE96AGVUVOLzb108BFq3RFMojVXvz0,448
torch/include/caffe2/operators/elementwise_div_op.h,sha256=nMq_ftqKylNrRPGWaZFD_9q5AyhdRaQ6Q157N1gvoOo,1062
torch/include/caffe2/operators/deform_conv_op_impl.h,sha256=lE0Wh-1M33c35fhCGYznar_mfTJB7sDkhxYTGCJPju0,13171
torch/include/caffe2/operators/feature_maps_ops.h,sha256=I9BkHTIAz-XXKZfu7CDTuKkV5zo2Exqap3AAVrY9nVc,32437
torch/include/caffe2/operators/text_file_reader_utils.h,sha256=VK4JXQGiUtQUYtBLNzLTnRfdcQE7M3jPlpVmyOlvLzs,2900
torch/include/caffe2/operators/scale_blobs_op.h,sha256=cQkEBRSuVuVhse8AZQ-QwsIkRo-jzcccM27LsP3YfIw,1458
torch/include/caffe2/operators/pool_op.h,sha256=ZxgXg8UcrSWAWXBJt76Ws_w4H5Y2fu1rCjuCrccJJbI,8525
torch/include/caffe2/operators/conv_transpose_op_mobile_impl.h,sha256=ozMqg1wg6446X2TdWshqRZC1wSz3j4e6k7EmTaIDNCw,19587
torch/include/caffe2/operators/dense_vector_to_id_list_op.h,sha256=BN9hU8E-xjhoy6O_cH0l5gv8IJy13lxGsVuAM034jFQ,1797
torch/include/caffe2/operators/minmax_ops.h,sha256=nVMQrdrjtp9JkHH1dasuy6kG11cluAGq5LTSV5CxfWw,3829
torch/include/caffe2/operators/lengths_tile_op.h,sha256=iGj0cq1tjHt8gooSRNtRBVNNj3OizYBZt_XOcRRor94,582
torch/include/caffe2/operators/pool_op_util.h,sha256=8dilfxxPSg899bqBdxc4lS9DVrou7J9rakDdUP0r_9A,1105
torch/include/caffe2/operators/no_default_engine_op.h,sha256=zS7l2FGHRSy912gr5lPGFLFE5eza_mu7B0C3PmdPN10,1063
torch/include/caffe2/operators/onnx_while_op.h,sha256=RhCks7RIQAsMR8jEhUds__ZLVQttTgfJzZzxWBrbzWM,10600
torch/include/caffe2/operators/reduce_front_back_sum_mean_ops.h,sha256=bolz-drMEw85Tkdm9gkcW-eIkZnilhZ8S8o5joxEJ08,5337
torch/include/caffe2/operators/roi_pool_op.h,sha256=ELU8L30FCZRJezToy9v6oWtO_RE8qb74AIXCAEliQKk,2503
torch/include/caffe2/operators/flatten_op.h,sha256=L6GGdgFBETDmfZClMefxs88G0mfc8cDG9sTNs79mXnA,1525
torch/include/caffe2/operators/self_binning_histogram_op.h,sha256=shYgqNEkesb14citrlp16TusLFsDR8yjoANDblGNX0A,6234
torch/include/caffe2/operators/normalize_l1_op.h,sha256=PyI_reiURxafBd22X_eFJAzgbOz81LQWa5PDD-G7cOU,1075
torch/include/caffe2/operators/pow_op.h,sha256=A4vNRMzPiHuy2VntzOCJrOShX9dkysfQkPOQWd2qhDM,4677
torch/include/caffe2/operators/exp_op.h,sha256=iou8Vsj5Tt77IN-piN--PIEgdJYZ8iM3b0FbW5KJUgw,425
torch/include/caffe2/operators/heatmap_max_keypoint_op.h,sha256=y-cFJ90uAiccxWeS4q3HOqHx7OiP8QevhDgH2oFuCzM,939
torch/include/caffe2/operators/assert_op.h,sha256=RZ29fEoVnY3eSPBu_Jshca0kAq4_YMty7EV3Q9dKz2Y,1335
torch/include/caffe2/operators/piecewise_linear_transform_op.h,sha256=uAkS83EAlPAFLgJmt_0yCNb74s8tlmW7JYsjUXmSMRM,8281
torch/include/caffe2/operators/cbrt_op.h,sha256=D025B2MCP3qAYgPGr75I4nLqeL1poKGcmM2bqWXA2Aw,723
torch/include/caffe2/operators/weighted_sample_op.h,sha256=AbVJ6Hh1YolBNTPP5Ul2fsQdUzdyK5h7sbeDKNYJgNo,739
torch/include/caffe2/operators/tanh_op.h,sha256=qyNF8QAgWGS6RsnUnoFeh-M54HEZD9D7micQ2-IG934,723
torch/include/caffe2/operators/softmax_op.h,sha256=ZITRz8W6Zijoo_aefLN5LEjAK9hvpUc7tl2DeBECMtg,1174
torch/include/caffe2/operators/listwise_l2r_op.h,sha256=RnR1aEXds18-hSTRj_WMQD1r6AhiaLFIkJclttm7qKo,1677
torch/include/caffe2/operators/variable_length_sequence_padding.h,sha256=DNQoutw2EPpb9QM7kOw_axqJrFJ3c6viIoNOM3UVDcw,1378
torch/include/caffe2/operators/elementwise_add_op.h,sha256=JHFrnFc7qLSGUqafdx8R_OkAyM1VNXUnYEc2KOQQeq0,1792
torch/include/caffe2/operators/leaky_relu_op.h,sha256=bPZmqHrS7XOX4BHvxwicCILdTcOHAbaYzfoDQ0E0ceI,1111
torch/include/caffe2/operators/elementwise_linear_op.h,sha256=Vrb6qjwOwXe4HNVtdJltkNENH9mjasVDUkR3kiuhvrY,1170
torch/include/caffe2/operators/elu_op.h,sha256=yU0AZLzyddcz9ErBcVujdcEhoC2FDEKz5g0-AR62ZyI,875
torch/include/caffe2/operators/jsd_op.h,sha256=IpJZcBOQ5Xhsh92zukcAv53PYALla5Vu6BiF-jpUcs0,721
torch/include/caffe2/operators/collect_and_distribute_fpn_rpn_proposals_op.h,sha256=wvZggtFJK7T1pQqp5isFgWlRLHz9PDFLDP6WxjpPXlU,6875
torch/include/caffe2/operators/reduce_ops.h,sha256=CL9k2BhKMYg1RIRr_rZ5ZAAHWFQ1-ax3rGQFKmW47n0,8565
torch/include/caffe2/operators/string_ops.h,sha256=Pj1bDOzD6bBSNgXF9GJhJEiKb9_i61IKjUeF8SUmtPA,2067
torch/include/caffe2/operators/boolean_mask_ops.h,sha256=rjXpBQ-xlWJP8glcakhxr-hu9twfTh2blN91WL6ibeo,2665
torch/include/caffe2/operators/local_response_normalization_op.h,sha256=z1yc2Mu3dY-deh78HKFlnW9eag1oW6IrYtmDAVHAyaU,2804
torch/include/caffe2/operators/partition_ops.h,sha256=a_vrAXaCc1qjizdZtK9J3ejp26gKXhqQIV4e3miWfrI,9958
torch/include/caffe2/operators/sparse_dropout_with_replacement_op.h,sha256=b3epdMuk5RiolF_aF1aCHg2sEsT0_S69Iy4-4rBFTlw,1122
torch/include/caffe2/operators/loss_op.h,sha256=xHnY1JjwL4HTTTkWdiS6U9N5B_luhK5J1OjOexl3WPo,1058
torch/include/caffe2/operators/counter_ops.h,sha256=ZGbyF-y-jZw8R_doRocTKdwAe5q6fi86eeY_FbTGxl4,4596
torch/include/caffe2/operators/h_softmax_op.h,sha256=_DAQVUSVlHU8KKAg-07e2zD3oTttjQHjOCsSEQpgj74,4954
torch/include/caffe2/operators/lengths_reducer_rowwise_8bit_ops.h,sha256=HSQh81Pwle9kOxZB4SR9twPpAL-uQsqdcG_XsHxhhQE,6180
torch/include/caffe2/operators/copy_rows_to_tensor_op.h,sha256=mCBNBXbFChlyyFwLfrR2Gty0kV9X1JZzR7ZKGEP9120,2546
torch/include/caffe2/operators/moments_op.h,sha256=8yx7mltsVM0gMbYnuxfeg3CxGuKPJCmEhEPQ4yPNPm0,3756
torch/include/caffe2/operators/logit_op.h,sha256=1XX39HrU2y2HbLEI9O5wNuY38sEo-DAWI3Madv9v4J8,1129
torch/include/caffe2/operators/perplexity_op.h,sha256=NR1G0nb72v2BTGWyzFWBWOm7C5pwhpDbIJObIwAelA4,447
torch/include/caffe2/operators/roi_align_rotated_gradient_op.h,sha256=CBjLNu79vRMq6-EkntJxwrGtOuUH7nav1H3FLDoGwWA,1369
torch/include/caffe2/operators/ceil_op.h,sha256=2u_pABK2aN1QD4sZbZ0G2tn93qfFYDdARIfH4giUfV4,782
torch/include/caffe2/operators/find_op.h,sha256=XAG6bxFyvhIRAf0Sha7QWPhpS6TPXrIBadhEkiezb48,2055
torch/include/caffe2/operators/layer_norm_op.h,sha256=sEIm0sUNCQomD6QkQAWXmTTQC1wW5jza1-WBQ9ELi00,8042
torch/include/caffe2/operators/negate_gradient_op.h,sha256=PenlwTJLZskiuazUtWXlhwTne9hqMwub6Ky_nzthKH8,566
torch/include/caffe2/operators/resize_op.h,sha256=m2fuVqj1ZCR42M62G7yE9NJGI7E0xcnrN2ikLa5s5MI,2307
torch/include/caffe2/operators/lengths_reducer_ops.h,sha256=y04wBWoQxoZ8d2wZgkeDF8YqJnbZ6K-4XcVeECFaZko,23259
torch/include/caffe2/operators/batch_sparse_to_dense_op.h,sha256=k4AZBuUDKHMM7TzH-WLD603DpoctGopW5apwu_6stkI,4578
torch/include/caffe2/operators/replace_nan_op.h,sha256=Rh3VtEH9zRuMVFFOvte4H9L7nsOY40Curcs3EF5Z_gU,1170
torch/include/caffe2/operators/max_pool_with_index_gpu.h,sha256=9Z7KlJnl6Gu2JTpohcaR9y1CQuVqrEZlF9X2RruNJyw,1155
torch/include/caffe2/operators/find_duplicate_elements_op.h,sha256=kD8h5m7z8HkAhMI7zj3qOnRW0idCB1IJ4j4UIY-uXBU,1563
torch/include/caffe2/operators/expand_squeeze_dims_op.h,sha256=OqtR_CdN0jm6QsoDbl9CtxtNavABy041iffY9Hwhkfs,3389
torch/include/caffe2/operators/sinusoid_position_encoding_op.h,sha256=Cp9fUKOR_-ZtNiZJrxGsMoUP4kG09x80THh7Lx05yh0,2834
torch/include/caffe2/operators/pack_segments.h,sha256=8GX7ZzaziJ2aqcXiMWGFMwhhXzvI00UtNrfheurtI4Y,2729
torch/include/caffe2/operators/softplus_op.h,sha256=VgIQ-pS2KDm0A4Zv1KsBaoTQMqJIyAEN-e3zpiUu9fM,781
torch/include/caffe2/operators/quantile_op.h,sha256=BKYIUJoJRoUbiooDi79e93fqR9ZEozwmVQiX5bu00pY,4120
torch/include/caffe2/operators/sinh_op.h,sha256=CJi0ulOOXUq09KsOShs8cNpGsAy5VvLhBjNBM5RY2EU,711
torch/include/caffe2/operators/fused_rowwise_nbitfake_conversion_ops.h,sha256=Po7McIyD_-yFfPn7oOxxvfI-EnxJA4hPjWpWBUXh1FE,4320
torch/include/caffe2/operators/cross_entropy_op.h,sha256=esB9nw6w7rqMwwOc1efiDfcy3nd0ZyKeAOOOxcdz2m0,4420
torch/include/caffe2/operators/feed_blob_op.h,sha256=vXId7mPvQ_w43nYtCtvhe93_X6q6kJ-CY0D3n0LMcyQ,802
torch/include/caffe2/operators/slice_op.h,sha256=Jda2KxZKwFZLVC4AGlosVuAa9QUHUGE392zlalFg14k,10071
torch/include/caffe2/operators/rsqrt_op.h,sha256=ebcpt4wyW2xYEjXDP8WvRjeTQEWWEAbahex50NN6IW8,729
torch/include/caffe2/operators/free_op.h,sha256=LNuuCRtNWjIX0yTReBGvDQXmtQkGzd7ZiihRUMIP9ak,777
torch/include/caffe2/operators/square_root_divide_op.h,sha256=8H8SKsah9VHrFkGSSQu5i9edHVv8mh8tE9UCyEXs1Hc,1804
torch/include/caffe2/operators/conv_op_shared.h,sha256=f5EDeKtc9C7sVMAbHI5GniRXLz30NUAfvOwhDVJlobU,672
torch/include/caffe2/operators/apmeter_op.h,sha256=fqB66-824DH2UrAysxm_Oqd5wNU6rcERSS_Bj1u9vdg,1027
torch/include/caffe2/operators/lstm_unit_op.h,sha256=YfNyqDanua7lW7Ukx5Boh1Z4Qy0bxAVvRdStwOs8N6g,6733
torch/include/caffe2/operators/index_hash_ops.h,sha256=TGClno_1zWoIFOCu_3cpRLh3Apl4YO6eF0fJEyHMeRY,2179
torch/include/caffe2/operators/lengths_pad_op.h,sha256=lrPys3NsP8Cdw1lr1S6FXMCTe6JRLtdQv9HxA5gxTF0,2574
torch/include/caffe2/operators/elementwise_ops_utils.h,sha256=UAg4SiaMaq1UR2nUHy-2rL2zMTmFEVLdpzJgQHmoeEE,1004
torch/include/caffe2/operators/sparse_normalize_op.h,sha256=5aT9Bmg40mIQwowr2deh0ngMpxgIHoONxPXDeVXxHTc,834
torch/include/caffe2/operators/multi_class_accuracy_op.h,sha256=5kMqEbPRbKotbj09snPGvVhOBEcTCP6z4JfMP93PlqM,539
torch/include/caffe2/operators/cast_op.h,sha256=y7bm_bqM-moMYpPmAzQNAitxvujSr-Pr8nyrHWN2HIc,1393
torch/include/caffe2/operators/transpose_op.h,sha256=9IwQ9atmmyrHw8paKMSSbKlictklNgsR-_xjJPyxIxM,2043
torch/include/caffe2/operators/create_scope_op.h,sha256=reMivP0WpEPRqrqfR0EE2S2twnihvuMi7kl6sC6ruEU,5232
torch/include/caffe2/operators/zero_gradient_op.h,sha256=BCs1fbE4BkbMdtFWAWnASDdMzbDtTjF6lwhi0-Eu6Kg,347
torch/include/caffe2/operators/lstm_utils.h,sha256=986G3sfJ-zENmSvlD9QYajlh3hpxMfFYo_llQZsGAW8,9424
torch/include/caffe2/operators/tt_linear_op.h,sha256=V5pSKAAvoPa5-D_pOcK2spT8b2pqNGILWjZwwC5HZSg,6448
torch/include/caffe2/operators/relu_n_op.h,sha256=CnWio6n9wCg1UW8E7dAl-91difqlAsTZlCqocUdf260,990
torch/include/caffe2/operators/generate_proposals_op.h,sha256=FVB5qsSdfBJIo7ZBK9sxzcygy_FwtbNg_R_cBlzh1Fg,6256
torch/include/caffe2/operators/lpnorm_op.h,sha256=m4YPaU4iz3XfuP8sa3Rut7dFo041HHxnSKx79b9rf6c,1279
torch/include/caffe2/operators/sequence_ops.h,sha256=MVQ5y_df-j7LS7n0DhT62xffK6vlK70m2uGCS6EAOrU,8264
torch/include/caffe2/operators/abs_op.h,sha256=1AuSvLmBC2wDi5PJL4JOYZw-Ffc49xyxph1k9sEl8Bs,705
torch/include/caffe2/operators/activation_ops_cudnn.h,sha256=NUrHgu_4WBdFqCdB3RaDJLTSkyjSm2YKmJBXyLy__eU,4122
torch/include/caffe2/operators/elementwise_op_test.h,sha256=mvF03HU0hWmJ14zFX9D6wOMTKHPEtmdBAjNgV3M0Na8,9237
torch/include/caffe2/operators/inference_lstm_op.h,sha256=qBJm8yIIhHvVtqPzKgGe2tdJGmqHi5QBTyJZgdlJR4c,9881
torch/include/caffe2/operators/concat_split_op.h,sha256=eSv7T2j0URpvRdEmY33PkEBDhrpI3l87xb2pOGrUfsQ,11721
torch/include/caffe2/operators/reduction_ops.h,sha256=hlFfQeF9yQLpIkbLfeNB1KWVFIL-BBjngBo0_ZSr89E,5944
torch/include/caffe2/operators/gather_op.h,sha256=mu73r6QGUo1jITWoxYeP_Gm9ym9DK_jw6QzmNb_OOD8,7505
torch/include/caffe2/operators/log_op.h,sha256=Axo6HvtdZs41bRlv-Oj8ByW3YKeVgqWtehUjQ4QVdC0,431
torch/include/caffe2/operators/conv_pool_op_base.h,sha256=-_lHwCli7_QbbENCNaWom-toGV-rsbxX8-tW4OGNRX8,31706
torch/include/caffe2/operators/unique_ops.h,sha256=LprdSkDFBbNBjgNDoQl3vcV2uhn_68EyWsSA_Dixhjw,1666
torch/include/caffe2/operators/elementwise_sub_op.h,sha256=SK9gugHELWSDDPrWGNRmZ3-6frXjXQ15YqeThzOzkOc,1793
torch/include/caffe2/operators/segment_reduction_op.h,sha256=n_JYS0-ir8iihvEt32MgUQ7Y22J5B3MJAB69TEiTtkg,70757
torch/include/caffe2/operators/fused_rowwise_nbit_conversion_ops.h,sha256=kxfX2MZI71Tse3fUcm79VAgTZeM7UJurPB5WO7EP7hk,8668
torch/include/caffe2/operators/stump_func_op.h,sha256=j5Hhsh1x6sA_4uzHBOUcSRZkqHlu1xUzXB3SWLj8JQs,2112
torch/include/caffe2/operators/swish_op.h,sha256=iWI75UOKOaG-LEBDyzZUY8YUh5APBOdK0zUUXHG8D04,772
torch/include/caffe2/operators/pack_rnn_sequence_op.h,sha256=2vgS2ke3S6QYDpErVgXF6NPEmqOYNJ_jvokarvLJlrg,3074
torch/include/caffe2/operators/softmax_with_loss_op.h,sha256=TwX8aMTWQMqPZGr-JOgwKCV1ESFITFM1_k5LO_Ofzos,2883
torch/include/caffe2/operators/integral_image_op.h,sha256=fH2nFBc1LXlvQKjIvkdg3Xqtwy1WncvX4EkpmM4mW0Q,923
torch/include/caffe2/operators/mish_op.h,sha256=P-dYbiSVeBA7vnFZCk5pnPdT-mvqyco4O5U2PTWT7RI,794
torch/include/caffe2/operators/weighted_multi_sampling_op.h,sha256=fAD-rhHU3MvdByY4samG786a0c2tyi6Bwp6MD2B116M,602
torch/include/caffe2/operators/bucketize_op.h,sha256=meWput0kqGMBTXUu1KA-tWA2WQvaXJe-RKpdXl9wk5A,1361
torch/include/caffe2/operators/is_empty_op.h,sha256=sFCPpQiG1r0WeroH3e2fQUc9Dv_zF0HpP9nO1mTthsI,558
torch/include/caffe2/operators/mod_op.h,sha256=b-F6XiLfujpctutUWvwEyBlPunx1C_Z_FZ54iX4xDAU,984
torch/include/caffe2/operators/clip_op.h,sha256=k0tSSHdM15Vdq7ofOr4wo6jfyvTr2RMbFE9SO827ivM,1639
torch/include/caffe2/operators/prepend_dim_op.h,sha256=juTKyY8FTPPqgx2uviGxZ1AR1M7ESReKc3SazCY5mZ4,2654
torch/include/caffe2/operators/copy_op.h,sha256=YVUmDyUTHpw8XXxcv97jQrzyQmFsO30x89Cimnhn3Xo,1296
torch/include/caffe2/operators/rank_loss_op.h,sha256=Tfz4nklsHPYWbLQp-gSuVtNmReHMz8SfZv6bwamSV2k,820
torch/include/caffe2/operators/lengths_top_k_op.h,sha256=mTaDoR6Yk_Xf3ObRxCqxuvVLv_xhaviZlRCd_ibMrDg,1358
torch/include/caffe2/operators/summarize_op.h,sha256=Wl3t3m23FeUW9sTvtChfHk_IkVRJ2hLouyteukrV4Do,1875
torch/include/caffe2/operators/one_hot_ops.h,sha256=1XBRhgWFrooBR2sQ5lf-u65OWld9Y0QfktlCsR8UA7I,2562
torch/include/caffe2/operators/cc_bmm_bg_op.h,sha256=I19wNQC6IY7qj_hICu-Ci_0ZCtWFPGRvH2gGRwpYt9g,3894
torch/include/caffe2/operators/acos_op.h,sha256=RD7DrHlaj6atW12vzT1XC7rBgyuT9q0FbXYJAuuyzI0,711
torch/include/caffe2/operators/softmax_utils.h,sha256=1T7ZmAFQwB4PSaxR-QCvPw9Bu0pZCQNUFD8ohaz8t5Q,447
torch/include/caffe2/operators/tensor_protos_db_input.h,sha256=pdsWnGy6Bqkg3-41qHrcuwIENAqvB_PVWG8cCM9cCr8,3633
torch/include/caffe2/operators/generate_proposals_op_util_boxes.h,sha256=NN3PmlTJ4jL7UbpChedbYOhu1mMbC0DBhdXrom2i_Zw,14271
torch/include/caffe2/operators/conv_transpose_op_mobile.h,sha256=toT4XGedgjwzM2FUFfqTFIyC5yfAK4njwQTGypBAOhQ,1470
torch/include/caffe2/operators/arg_ops.h,sha256=jyr7PIQDPdTJolneyxZSTfOT4RIX8OzNpylOqFoXKO0,2319
torch/include/caffe2/operators/negative_op.h,sha256=cR1FXsGQyeEV_dEkVGCveCI8eXyln2To5X8yIm9XQVU,451
torch/include/caffe2/operators/operator_fallback_gpu.h,sha256=Kl6pDRJOS6SW9-XAGoCg9KvrqlbyAbzPaX6AKMIbLpI,4155
torch/include/caffe2/operators/margin_ranking_criterion_op.h,sha256=T6Oj9CMO9Dl1EvrW2qtY3SzH3xeELYq10c8rFqKylX0,1113
torch/include/caffe2/operators/matmul_op.h,sha256=N9g7CYffFLnjUoQuBS5ulzu0kmcjGkE_Xh1ZmODXZZ8,2843
torch/include/caffe2/operators/roi_align_op.h,sha256=NuYz50f1DzP9Rp3JcQ6E1y9WXQJA5qIX4I1Noiu_vXM,2857
torch/include/caffe2/operators/pad_op.h,sha256=P4GLrPOA7byJxlCKc_PzFjDEyQxzGPouzNwhw_bQDxU,2902
torch/include/caffe2/operators/histogram_op.h,sha256=vWpkr9ozOQVlKWU7kK9MD0oTePjAndO5kv2lzJgJA8Y,2311
torch/include/caffe2/operators/floor_op.h,sha256=xB_fKepW8tDSX3LATg5UhX6Ig3DFTtYjuc9vdYU1MxY,788
torch/include/caffe2/operators/normalize_op.h,sha256=NRhlWrVn6u2fDeJO0ZdcUjECwz0lqrxlvfR8sjyZT9w,3013
torch/include/caffe2/operators/cube_op.h,sha256=aFr9Vb9tk6jPD5s3Nqak5YpCAkUTWcJkdONgLoAJomw,723
torch/include/caffe2/operators/reshape_op.h,sha256=uPNgEO6bs2baNn3jIE9U4rH7v4HjTZ3-EoAHUbIhhJw,5668
torch/include/caffe2/operators/instance_norm_op.h,sha256=vIvKD69cqB6OjF5UncEWXPLojzDHkh0pMZfotoRQowU,7441
torch/include/caffe2/operators/ngram_ops.h,sha256=crusSprMkGKWJqYN7YGXx6yAdYsH7qjrFZR_CdsyxOE,2644
torch/include/caffe2/operators/if_op.h,sha256=539gkfJOOGGaWO8SxT050tt3WuVs_R-lOamSXk9clP8,1764
torch/include/caffe2/operators/reduce_front_back_max_ops.h,sha256=4HtFkeILdtitnUIu7zakCBp1W3eDflBm6YVM6AX2GE8,4399
torch/include/caffe2/operators/reducer_functors.h,sha256=X5aKKVY4ezQ6scL7rvNsdtNCresZy0tbxHogoQTLL6U,24556
torch/include/caffe2/operators/affine_channel_op.h,sha256=hdOSX_oQofb4ECHYdzYw_OAhpKU26KlfR0-eakU-9D0,3450
torch/include/caffe2/operators/sigmoid_op.h,sha256=uIxpCWlkSxR4UBbLokPsOvGeBdGDH75gUnu06n_WgVw,639
torch/include/caffe2/operators/channel_shuffle_op.h,sha256=-OTWqu1RA-GSWE8MeVqT9ArTwtcufCMb7Fuoe8a9nKA,1902
torch/include/caffe2/operators/locally_connected_op.h,sha256=gikPpSDx92QDW67R8TWyYpINDqv5vxwxAGzK1FDl0mA,3872
torch/include/caffe2/operators/conditional_op.h,sha256=XGvSUastZCge1MfSGE3S2H3SGu5ik378atzKkMPahZQ,487
torch/include/caffe2/operators/rms_norm_op.h,sha256=NN8Dj9bEt1aG5vgSoJGqv8dnyA0nar6ip2MzCJRDxlg,2968
torch/include/caffe2/operators/dropout_op.h,sha256=sS6_DlrFub4gmg1dvsJlunSrYfA8aB82-EL2bn_Uznc,1516
torch/include/caffe2/operators/gather_ranges_to_dense_op.h,sha256=vqlX5z3uQt26P3kbjLv_13sfvgZwqzwTxWPgkDybrNA,7964
torch/include/caffe2/operators/shape_op.h,sha256=YLHAz7oayKysuOihIet6M9nGhQzM02cDhU38Z9DO2R0,1638
torch/include/caffe2/operators/index_ops.h,sha256=jYjjF6ktTPn21VH2xFqIw-eBQ3iFts60rJXCgladSlU,3045
torch/include/caffe2/operators/tan_op.h,sha256=ZRLkKsWBeQJ3F1_jixPrxW_kWr3cpITdeerj7X7wfyM,705
torch/include/caffe2/operators/scale_op.h,sha256=f2YM85IAU-oTJ4OFSQ-PxzndzVuilwAZsXjMhKRNZeY,1019
torch/include/caffe2/operators/cosine_embedding_criterion_op.h,sha256=PTDQY-gR4uAMbpm_CRR_XEsb3SVEKc4qMCcDisRXOTw,1127
torch/include/caffe2/operators/sparse_to_dense_op.h,sha256=uALTwAuinNNKHA2YLjWmuo5_lIjwi5UFFhbQozNUST4,3977
torch/include/caffe2/operators/quant_decode_op.h,sha256=omYtM4LvIWaIGC4xLCor3Xf2U14419QCU5nTnHnI_0g,5370
torch/include/caffe2/operators/sparse_to_dense_mask_op.h,sha256=sHCq23JUofx3tT-44zE7PIyW31bXIV0x2xqlx4c1H-M,9890
torch/include/caffe2/operators/sin_op.h,sha256=hTV7rDM22q6gdZ9FlJ8EiD5dliMwgiWY2MZQzdaQpjg,705
torch/include/caffe2/operators/upsample_op.h,sha256=O1fM1YeMD8-PC6-oe4RlTWDb3xN3JYSAHNteeJDxO-w,2246
torch/include/caffe2/operators/filler_op.h,sha256=2_wDy2sjmoWFEtD_qDRfkKoW_ZMiU3IhJwYL8C7ypCY,18431
torch/include/caffe2/operators/batch_permutation_op.h,sha256=PLSVqDzqmoriZOFviTjlei_UO13CTTZML7R-XFwt8MM,954
torch/include/caffe2/operators/spatial_softmax_with_loss_op.h,sha256=2e3_wSLxbt5eVX5_iQUBPWlDL5AJZb4XdN8JVifQRT8,2182
torch/include/caffe2/operators/batch_moments_op.h,sha256=jndwkGwMfYdCp5Id5PiXLn5kJqa2NLRxhEC78POuhVU,3364
torch/include/caffe2/operators/alias_with_name.h,sha256=OUbE9OPQx4z_c8-CZpZhzwL_n0LVeNqcBpmrVFh5URM,1234
torch/include/caffe2/operators/do_op.h,sha256=nyuyML8NfnIKijM8S49BGNbF4drtoytaLy2ov5ml1os,6918
torch/include/caffe2/operators/prefetch_op.h,sha256=6YZKWGU-5sztj8-CEQ_nvti-Qv_-yTWoynDdYaq4icU,4661
torch/include/caffe2/operators/byte_weight_dequant_op.h,sha256=LvHeDIaknl0z5Cm5BofxidCp-kd4zsAoOYdTEBoh5vk,1722
torch/include/caffe2/operators/spatial_batch_norm_op.h,sha256=NvA28UGzoNCVw9VC6J7zK_jcuy20sJxp25oww5hClEA,15175
torch/include/caffe2/onnx/helper.h,sha256=xpWZmCuSgDeA9AK8E0LyUL7YreRVMm7G2JcfY4MhWxI,2819
torch/include/caffe2/onnx/device.h,sha256=axuqO4htBFSCnD-wqQAJkMNXCIq1c6chclQDQZ4M3Q4,488
torch/include/caffe2/onnx/onnxifi_init.h,sha256=PT27G6FPnBfVZKm7-jkt7sZn7-JK49tsrTdaEVR7tGc,166
torch/include/caffe2/onnx/backend.h,sha256=aF24yiAJLM8kHxyPZ6lylGsUz3ra82zDNUwbseG1b7I,8674
torch/include/caffe2/onnx/backend_rep.h,sha256=-j-uaiMCj8opxyq5ejlcxaaek6fvbXxFmK_wZ940LKk,1137
torch/include/caffe2/onnx/onnx_exporter.h,sha256=RiBf12eNlqPaxn3_5YsdeVuVIv6eq8RLYQB1PeDSeKY,4843
torch/include/caffe2/onnx/offline_tensor.h,sha256=UQh7xHc65Ki8gHgtnsLHzUvZKJzIrgOI0unpwzdZFps,1645
torch/include/caffe2/onnx/onnxifi_graph_info.h,sha256=WSHZ8aD9cCOhkm4E1IQkFtt4__6PLpIBwxSz9m3kWX0,3539
torch/include/caffe2/python/pybind_state.h,sha256=KSSfxt98y1mGjzKoZhxcbK2F9RTkNhFN9_G7-EezWRc,15621
torch/include/caffe2/python/pybind_state_registry.h,sha256=wk1oWNVO8Z_YYMU1f9pHQye7Ab1g4AtiLA06_pD65XQ,1021
torch/include/caffe2/python/dlpack.h,sha256=QQ4z_amZhvAsg8D9t5Dp8e6l3ExaTuPGPrx4W4bLkMc,4693
torch/include/caffe2/python/pybind_state_dlpack.h,sha256=MAG3f-Z1MxadNjqu_PsjQlP38echeB17A0LQ5li4JEE,4143
torch/include/caffe2/distributed/redis_store_handler.h,sha256=RoePeScO_BbjRllb5v2d-qJkbku2jhC2aqTa5Ku-JRU,1100
torch/include/caffe2/distributed/file_store_handler_op.h,sha256=0a9ybDKOmE5NH8PP3d-pnV_EiIQ9NpT8Q8FPsc4tqH8,979
torch/include/caffe2/distributed/store_handler.h,sha256=MzWr7Nc3u5mIOgaUA6t7LZaLal4Rc8z0b0ejDcA7WXs,2526
torch/include/caffe2/distributed/store_ops.h,sha256=ngfK5fgTNFsMjjFQyLG9xH3_ooW9276vii4QaiJE5pE,1064
torch/include/caffe2/distributed/file_store_handler.h,sha256=OrGPudUxLpuLy9z6QeaTOdloT6zuXcK0EoYu5cKfh_g,1078
torch/include/caffe2/distributed/redis_store_handler_op.h,sha256=P8luuYWx_V0y8kewTx_SIQAi05gjr-JOgWFw2zAnElo,1143
torch/include/caffe2/perfkernels/embedding_lookup.h,sha256=ps3uHi0_dexF-5MCcwPN7tQZSJ5O0E4ulQKevI_cyho,1539
torch/include/caffe2/perfkernels/fused_8bit_rowwise_embedding_lookup_idx.h,sha256=G8gheN3BZnLz8wsVD6hq6EzzOQY8YpCb8FE5fbfLhQQ,1807
torch/include/caffe2/perfkernels/lstm_unit_cpu-impl.h,sha256=ewpWDhBbeIVV7u3gZjd7RUdJ_wIkDfHCD1waj2iJ4lQ,4220
torch/include/caffe2/perfkernels/embedding_lookup_idx.h,sha256=xFHjPqhE-a1kAQ9d4gkTVGoaSi42qpkI7H6tF5fIQhw,1674
torch/include/caffe2/perfkernels/adagrad.h,sha256=DzYAAEisDzQgXh2kEGSXv6Jezz82iEty3B2ULefkL6c,6068
torch/include/caffe2/perfkernels/lstm_unit_cpu.h,sha256=x3CdSCUQYZ6vjiyNOn0btyfKU3LCJZ22lYe2KpgLfMA,1446
torch/include/caffe2/perfkernels/cvtsh_ss_bugfix.h,sha256=oooj66tBrgeXmzg6umch7ojOydmSzAgBJKPJQtLb9J0,1951
torch/include/caffe2/perfkernels/common.h,sha256=V2qwWsntWDSbHjvIZ-KCVnZZP39ktac_sIcJsTrRS94,5263
torch/include/caffe2/perfkernels/math.h,sha256=owMqZmbBbymoQWVoLHyTkdd886QNRMOKqlmNH0wHEY4,1103
torch/include/caffe2/perfkernels/typed_axpy.h,sha256=OeithBYAjk2N2x0p_oXs-24Y2aLYL7HDTFa3rzDbZJU,355
torch/include/caffe2/perfkernels/fused_nbit_rowwise_conversion.h,sha256=3TT0PQjaylvPczmltwy15oRepUxfP1RDi36sIftZgWo,758
torch/include/caffe2/perfkernels/fused_8bit_rowwise_embedding_lookup.h,sha256=OuD1WxMH_yvT6uzYheRvjKfV3c_bwTy3K1jvnJ1T4Jo,1690
torch/include/caffe2/perfkernels/lstm_unit_cpu_common.h,sha256=RDc2ctgofvMW-1Osmra_hNgc53ixnmSIr9Y-u1VvRdI,1442
torch/include/caffe2/cuda_rtc/common_rtc.h,sha256=ayDkqluCXnK7OoBFPhprcJNa1tQi_APQ-UqXIFW05S4,4350
torch/include/caffe2/serialize/read_adapter_interface.h,sha256=TrtqY4bnGW_iI8ZpIunrB0fbQhRq11g2Xic-AlE2ZPo,556
torch/include/caffe2/serialize/crc_alt.h,sha256=DrOdQS-ljQK1IxqqH5_3ZuMytuILMiF-h7wtY0LWYXc,75264
torch/include/caffe2/serialize/versions.h,sha256=-oOMCMyrwsyx7vu7vbnO8347o4SpwwYHSfZ3m9Lx56U,3949
torch/include/caffe2/serialize/inline_container.h,sha256=Xd-Yo7_g3kLxWQL5Fx8o6OXgXE3UYX9jaDBAs1ewoY0,6387
torch/include/caffe2/serialize/file_adapter.h,sha256=eIgyFN1MS-fmAfPDOKdBPcoMgi5R_i7aVu1zWzFTIN4,686
torch/include/caffe2/serialize/istream_adapter.h,sha256=mYPr-mjg75ZgPSVW-Uie0aot9kdQELDXuc_RtMqvD9g,660
torch/include/caffe2/utils/filler.h,sha256=7oSbyzKNZ7beWsw50guJ22WxgjEXwMheRfqrngjqTt4,3911
torch/include/caffe2/utils/math-detail.h,sha256=syF3Me_tdUyMK0EzKiZUBppmU63SQMqM03JvsH3hgxg,1916
torch/include/caffe2/utils/signal_handler.h,sha256=Kqbut0rLM7KlD4wZtisE5DmBZdRjEW_kX7AMDs_FhKY,1152
torch/include/caffe2/utils/cpu_neon.h,sha256=DB9ZQAUxa1tquy3VWlAM5SlMH4gMcp-8VuRsFy51w8Y,1578
torch/include/caffe2/utils/conversions.h,sha256=Mn6Z3sW8TIxsIwDPEgrfw5u4ztpzKvipRJ45KW48cso,928
torch/include/caffe2/utils/string_utils.h,sha256=v2Djn8DQ3KMAHzRJcbuZCciBEn74kV1OIHhGCtRtcmE,1207
torch/include/caffe2/utils/simple_queue.h,sha256=TfJBKZHxw_kNY8GdRv2zWY-H52FOGXBH_kTjXcq8Mto,2605
torch/include/caffe2/utils/cpuid.h,sha256=KW1-kxkP7U7zXOJ3u5JgURA95P0POT6F6qRk1GuowPA,2561
torch/include/caffe2/utils/fixed_divisor.h,sha256=fIEcwJrDasNjI8uuzV9OmkT1Q65eXatb4XN-2xE-5ts,3634
torch/include/caffe2/utils/proto_wrap.h,sha256=oCUDiNb3K-clKaINziE8f-uv_cM_lQc4YRP-bmpcfus,380
torch/include/caffe2/utils/bench_utils.h,sha256=eDtK81K0Tq8ZC27f_1ulOd01GiF5Jkaxkg0mS-qwPg4,854
torch/include/caffe2/utils/cast.h,sha256=uRHGLrkfm7tDJAL5cIKcGTs-avZXJRdLXHocApCmeHk,1110
torch/include/caffe2/utils/murmur_hash3.h,sha256=qm-gsR07Hi8LXAuKOP04rwBov27ay_NePaXsTeEAWes,909
torch/include/caffe2/utils/math.h,sha256=Jo6c0DBIjWAQsRvnEs_ZvidBG2URGdBH_GF8mKOL7Uw,15210
torch/include/caffe2/utils/eigen_utils.h,sha256=0PCIkwGwRRr8FrI6t3P3v7LZulRc2RAN4mIFSwc-GSA,6656
torch/include/caffe2/utils/smart_tensor_printer.h,sha256=udowlfwYYWK1QBUNl2_5hBDalpn99s-QE5pE3pr1IJk,1402
torch/include/caffe2/utils/proto_convert.h,sha256=xeZD_UFRRRGux0bBjmypI55cOnSCjaO6MqdavXytkLc,263
torch/include/caffe2/utils/proto_utils.h,sha256=U_59vEyDesdtit5zmAGkigaFXz9lejf0BOcBvez7Prg,12779
torch/include/caffe2/utils/cblas.h,sha256=sLqWCt3Tj9ZxDWJN6WmPjZhO43P_lCJJX6xykH8Am2A,34183
torch/include/caffe2/utils/map_utils.h,sha256=pQSebmsVLmIE7UOa7N2BuF5YPJaVf6X7mmMuFxnCJ-Y,635
torch/include/caffe2/utils/zmq_helper.h,sha256=3-UZc3IvZNPm6f8TTpCRfoHJdQ9E_ovJnAxLi06OOT8,3020
torch/include/caffe2/utils/threadpool/ThreadPool.h,sha256=9qQm6dR6ZhS4CKImePV3E1Ak5x23_58Crf5_xd-92a0,1927
torch/include/caffe2/utils/threadpool/ThreadPoolCommon.h,sha256=w-Oa0TSn8C94N3W2btFWN_uKOMy2LxEsO5OOBNVBaNY,677
torch/include/caffe2/utils/threadpool/pthreadpool.h,sha256=0V2-FZBab8_fSETAa9ZBTK1-TQl7EXPHionrSIa8A6M,6338
torch/include/caffe2/utils/threadpool/pthreadpool-cpp.h,sha256=6tSHP_Ri2PQyV-P9vXdxnB-p3JfYdAoSdeAz-YvCUJI,1417
torch/include/caffe2/utils/threadpool/WorkersPool.h,sha256=OOJV_e9aGMZ7nRZ3ZPSOA7gI0Ka7JRuyogeY-ek9Mmk,11552
torch/include/caffe2/utils/math/utils.h,sha256=hmU2Tz17P0LncKjNlp3Q6S6SSp72zaCDqU8uU__p0gs,4643
torch/include/caffe2/utils/math/broadcast.h,sha256=v0xwYzD-NIgr7MTtdB9pyHT7X7CK2Qkx5JDiZcDfyoc,494
torch/include/caffe2/utils/math/elementwise.h,sha256=im0-FZXrbCKIbQqaLNSpjF7nPU78aj6f1pJROEE9Zgg,6455
torch/include/caffe2/utils/math/half_utils.h,sha256=lVYMPxeQ5lDpXZluJQbj3PdO0l6uld10a3SJjE_VXBc,1329
torch/include/caffe2/utils/math/reduce.h,sha256=NMuZMMsxoNxHTrHbsarXnZmhScnpZ00ag3eZBrWPxn8,2385
torch/include/caffe2/utils/math/transpose.h,sha256=ZzqNLQ0AHHxeAgRKErUUMao-X-oh8Djj_SKyyVJDkmQ,785
torch/include/caffe2/image/image_input_op.h,sha256=USJ4ZD_KhqMPDVhxwNrlJL669alF0l8wCCtpZIc49y0,46964
torch/include/caffe2/image/transform_gpu.h,sha256=_mvip41mfvZQ6AFOHbs8j4B82pepy0J8d9VlrtPgH1E,1705
torch/include/caffe2/transforms/single_op_transform.h,sha256=ouMnrCFA1PtiuIlgwiore2I_ONnFustIgP9_bVxGR6o,1021
torch/include/caffe2/transforms/common_subexpression_elimination.h,sha256=kNndkQhQyGAbqSK1Dtj50wFJLXFI6xZu7qk9CKPq2jI,1584
torch/include/caffe2/transforms/conv_to_nnpack_transform.h,sha256=hN9SDKlJsXNnjuwU_i7HiXQVENO4E3Aypesf8u9r3Wg,678
torch/include/caffe2/transforms/pattern_net_transform.h,sha256=hJ_kskIJUQLNzcMnNRv2rFuhcogdhL9NdCZbe0rQ0fc,4394
torch/include/caffe2/sgd/fp16_momentum_sgd_op.h,sha256=iwPXxcycm5ynGVusnBpCxw-6bKK9Z47tEgH3V1U_YfY,2292
torch/include/caffe2/sgd/rmsprop_op.h,sha256=Ap_INdw53dGjUSbCtHAZnhQrPnYWIEFCzu7KfKBSuho,1980
torch/include/caffe2/sgd/lars_op.h,sha256=kgKPzCrjF9FbtU1NfCgyHX65K_ft632FCw38u6TBIZw,2479
torch/include/caffe2/sgd/yellowfin_op.h,sha256=_oHDbvja_ZLnnvjIvVH4NvnmO3JJna5TpCbBmelODk8,10284
torch/include/caffe2/sgd/math_lp.h,sha256=lBDTw9ex_ATfqcc7hXC-d-p8OMZm13Tg1qCRUaqoU7o,655
torch/include/caffe2/sgd/storm_op.h,sha256=eA46mmS6LBXz093FyGu90pR_jIiL2pVi-S91v2lFjn0,5915
torch/include/caffe2/sgd/adagrad_op.h,sha256=dDvsopf2P1IVUQ2TGdDAfAzVeG15gI5WNQPaULK29jA,17233
torch/include/caffe2/sgd/clip_tensor_op.h,sha256=6EWQ2RIaI1j2UbmR38e5WFEM_kuMfaWO-Gg2Rh_cutU,1853
torch/include/caffe2/sgd/gftrl_op.h,sha256=R7wkZifu15wgqUqnHjlswchF5Qm_EiyHq9eogu3Z1-I,1028
torch/include/caffe2/sgd/adadelta_op.h,sha256=Epr0PaxHMeEd8rgd1r1eEgfbYtwRit-wqjOtp1EkcA0,5852
torch/include/caffe2/sgd/learning_rate_op.h,sha256=Gjwt6OyFO5uGLWSAcWoK2u5uAf7UdgZEbaSm5kha47w,12696
torch/include/caffe2/sgd/adagrad_fused.h,sha256=E-FaC79HDNqP9DVoENwElNUdvs4SXAImKl6xGRXwnrc,16632
torch/include/caffe2/sgd/adam_op.h,sha256=qrJFF1dQOdjC7sR0Mg3wKhk86CAawZ6fiXhEn-gSWM4,22038
torch/include/caffe2/sgd/ftrl_op.h,sha256=3BpZtCzJwQLQwMy-afn2oeZmDr8tIUgVEmJWkHIJCNk,2219
torch/include/caffe2/sgd/weight_scale_op.h,sha256=3nPstAkvnb9sAZf9UN5dZ5BH-Hi6ySS9i5CnY8A0zVQ,2552
torch/include/caffe2/sgd/learning_rate_adaption_op.h,sha256=kNsRKxWqV-TSXOmWkkJDX2dgquIbcWCj5etf4BJF5gE,1974
torch/include/caffe2/sgd/rowwise_counter.h,sha256=2YYNQw1cJAjJjwJFKZru6daohs9zPX0rUx3eOUrC1Fw,2083
torch/include/caffe2/sgd/iter_op.h,sha256=HMhr2tuRwj8ulqj4hfDsT2E69tixmb1SlNP-pz4FMxs,3323
torch/include/caffe2/sgd/rowwise_adagrad_fused.h,sha256=WNOKXNCBbZKs7zHCQG32DExIsoWnsf8P49egz7rs64Q,29595
torch/include/caffe2/sgd/momentum_sgd_op.h,sha256=5Pj8afmSm6Q6a_aGeABeCe5s3YLqAsoCfr52_KWRWW4,6035
torch/include/caffe2/sgd/wngrad_op.h,sha256=9F2nyUU67SxZ17RIaqKC1yXAxrOQ7xMzxDdvU2E-zbk,7272
torch/include/caffe2/sgd/learning_rate_functors.h,sha256=0ktIrsNus3LkXemnzoyeC1s8LZoqm0O66Tkvu8HTva8,15135
torch/include/caffe2/sgd/fp32_momentum_sgd_op.h,sha256=6KXOLiq06cI23bRH0jD_2wCO5CJUiS3wBJQ4SZXliw0,2015
torch/include/caffe2/queue/blobs_queue.h,sha256=wAazbs9w8a_7VQ_r4pl3KYTdUyKd-anxfzFr44upA_A,1779
torch/include/caffe2/queue/rebatching_queue_ops.h,sha256=rUSYAp8FmiD9tPwtDpPgTHgIwXAqpLy02eAbbPHV-AA,2490
torch/include/caffe2/queue/queue_ops.h,sha256=cpgz5dDwBU_EKVxmapuudblH6PcvBYuSqXjJSZKkA68,8618
torch/include/caffe2/queue/rebatching_queue.h,sha256=Ij4xHePSB29f2xAxkpERHyqOx9O1K9kzUVwuGNQWKS8,1382
torch/include/caffe2/queue/blobs_queue_db.h,sha256=2vHTIS2vlk3JqxJDmU2malxeXhYyBSOimwhEhBFxIvA,3289
torch/include/caffe2/db/create_db_op.h,sha256=9sbVWiCVmAiEDNSpQlWjyJUvy-TipNQpCkUouckoaFE,1190
torch/include/caffe2/opt/device.h,sha256=Uopaalwh5rpwSYffhIhNgrya2yN5HQWPjlMj1iEC_k0,442
torch/include/caffe2/opt/annotations.h,sha256=bcSJdT1zPT3FSM5LKFV_YWyFVqX9XU6vgJ5Nm84vRPg,2141
torch/include/caffe2/opt/mobile.h,sha256=N1ijeQEB0l7uRLUPDBhOwAWbqpO3jRoqUr74lLUltDM,388
torch/include/caffe2/opt/onnxifi_transformer.h,sha256=EO51TXeUkSpRLDJMKxAYzCJBjyao8oay5KhRcuGjic4,6266
torch/include/caffe2/opt/converter.h,sha256=t5PlLqOlQV3LyXtAHmUn1vFSka-dITdz05tkKuIEuI4,3019
torch/include/caffe2/opt/backend_transformer_base.h,sha256=ITwE7qZz-j-Pf-DsqRjfd6wycoWZJYVdkdbj8enJAF8,2773
torch/include/caffe2/opt/fakefp16_transform.h,sha256=C5wc_Pdujul5ufos3q0WWI5o3JGwKAKc5mVXIsWGjE8,584
torch/include/caffe2/opt/fusion.h,sha256=DX7M5sfp-spGkAsMa_GvswVIeoEFvEwTNAOYjpGojns,4141
torch/include/caffe2/opt/shape_info.h,sha256=xu9cpvbaNZKz1D64WyOrZH00HBnHF18_E8728Mvul9E,4738
torch/include/caffe2/opt/optimizer.h,sha256=lvM99JrV1egdI8WyYJAIykRt1RzilC4TXoGaWvmNF38,402
torch/include/caffe2/opt/glow_net_transform.h,sha256=UKFFDIYr2ASot3hCx4bbXojVptt1ehqlWzAF_sckxec,1361
torch/include/caffe2/opt/backend_cutting.h,sha256=UlvadmFOOAmJkE8NV9vfd5n3H6gt_5JJrqi8vw4nZB4,520
torch/include/caffe2/opt/distributed.h,sha256=QMSQpxNI0yOe6Feou2HhcNIRfbO2Y-w02Q-KOMcpAmY,1126
torch/include/caffe2/opt/onnxifi_op.h,sha256=Lfg9I0K_3GN8tA2lMCx8TeW1e4jWqRLmmVeRPkF8bz8,18672
torch/include/caffe2/opt/tvm_transformer.h,sha256=-f08t1iRpW_gWQPFMh39mHmZC_9Hx_0KxroK0KG07Bo,2992
torch/include/caffe2/opt/passes.h,sha256=ilFBfbyw0HsXNKgMx2wx_9PGOiQRENFM8KmcvY5bqXo,2642
torch/include/caffe2/opt/bound_shape_inferencer.h,sha256=FAxmeSd6KI0qQd7aowpeDFElVJogr31_LgTHodczcQM,5647
torch/include/caffe2/opt/onnx_convert.h,sha256=9itvV9BfvPhvNfuTt_LEeNFHOhW7A94P-2-WnSby7Nw,1279
torch/include/caffe2/opt/optimize_ideep.h,sha256=rRQWKzprizV1NGwqoBucGAs8TCsjKLO8dpKrKRFZB0c,351
torch/include/caffe2/predictor/ThreadLocalPtr.h,sha256=45Bx-xSCfWRYm2Chc3lzNtFFPwm45fG2yJEQ3-gUqAU,4111
torch/include/caffe2/predictor/InferenceGraph.h,sha256=UE_A9LSlIcWHR5_R2WfHBedkDz7hDuzspeYkHzwWCU4,833
torch/include/caffe2/predictor/predictor_utils.h,sha256=HLUD1nTXLnewCDf8fKE3yds_d-pb3X1QksciEdANba4,802
torch/include/caffe2/predictor/predictor.h,sha256=md9tG4ma80Rf5fFw-2dFQwza5KEFiXq6CsSX9QkFN5E,1810
torch/include/caffe2/predictor/predictor_config.h,sha256=S1hkHujskUZl5ZjzvXpSiq2FLg2nr0echjCiSfftTXw,1934
torch/include/caffe2/predictor/transforms.h,sha256=NTfcDqwZ5gc6F6rJf32zAEN25KF9Ti8n9s8cZOM1bQw,241
torch/include/caffe2/observers/operator_attaching_net_observer.h,sha256=BiOXn1yuUXCHVZmHhb3joHnHyNJg9I9ol04PAa5qIqc,907
torch/include/caffe2/observers/time_observer.h,sha256=m--gRroMcdu9OXAG52F9CRZRw77rtD0nQiwy1WB9Zpw,1827
torch/include/caffe2/observers/runcnt_observer.h,sha256=o1mT2yhSI_PFfjtghVEdYwi4Fof1_2nWs5IBi6FHhPk,1319
torch/include/caffe2/observers/profile_observer.h,sha256=5JSpOFbRoyngQSoEvyOF2uTyznU60Ye2ptz-dvtPaUg,3260
torch/include/torch/script.h,sha256=tKiPuijsW2e-JMAWAbIhGLY-HgevUXIh9VKfOZAd71U,422
torch/include/torch/library.h,sha256=V9oGkDSBAwei7yPL8umwszuHHF4qMlm_BkRkQoMVQRw,34035
torch/include/torch/custom_class_detail.h,sha256=dJdHqWmTbFxYIYLTAvW_KNcN_GfOF2VmMvSBagKd5IA,5185
torch/include/torch/custom_class.h,sha256=6iuh38fixrUysUpEfRRMIUrGD1azeIyRT1RLGnSA2Ck,14313
torch/include/torch/extension.h,sha256=U2lS6iwjvKhbLwnVco4KOJuB8FlmXYoqV9mymY9-EiI,170
torch/include/torch/csrc/Size.h,sha256=HC7GaeUlD--37hWnGTyVRAmlzvzjAt9Kpj9rFiKWbck,370
torch/include/torch/csrc/utils.h,sha256=NY1ccb4ZF7pUCmqWiQOjm47ROBiUU1OWF_ZTynq-zBM,10032
torch/include/torch/csrc/Device.h,sha256=P6_g7WHYVQrnIvITXhHOqezaDRvVXQD3Q5L8RsJ08ww,480
torch/include/torch/csrc/Types.h,sha256=8QNEbZzW6B2SAfolfghV0NahD3-xwJ-wUz1Y32mbgog,290
torch/include/torch/csrc/serialization.h,sha256=PhjR2qd8w1l9hm1u3ao7V_oTn5NocV9HTeKQikAMUIQ,709
torch/include/torch/csrc/Exceptions.h,sha256=M3Jr7ub00tuxLEaDfcCq5Q-Biv1sDcgUKhruiCUTzEw,14100
torch/include/torch/csrc/QScheme.h,sha256=Anql_jMkmhbzqptTo216slex9FmTYm29hpr4_teJEnw,482
torch/include/torch/csrc/Stream.h,sha256=N9f0wPoXH2lLcSZZ4advgSwaJQl5pM2QGy4doNs5i40,374
torch/include/torch/csrc/StorageDefs.h,sha256=quLu4UrB_PqKhqq88BkOZskL8F07fGZZp4j_f4G4GJY,73
torch/include/torch/csrc/DataLoader.h,sha256=lAsoYHYwWV0DcT-P6Ziz3k6sEkTsvacld_p6u2UtbrU,94
torch/include/torch/csrc/THP.h,sha256=7XRByKUPFPxfeRi_LmGM2Eekd7XCBhOY5S3t3IPsnCw,1308
torch/include/torch/csrc/python_headers.h,sha256=8fafVK3EOQJX9TdVLkYJmblmuM3at4_HCLD9lDbcxkc,504
torch/include/torch/csrc/Layout.h,sha256=3ZThAcV71TlJS3b7neWIu3c3sxKbOZJDQDRkpv3_Nr8,461
torch/include/torch/csrc/DynamicTypes.h,sha256=-3K2kWUGMmB4EYs6hZwW3vUxfL37NnOn3x86biwfcSk,1003
torch/include/torch/csrc/copy_utils.h,sha256=qVOC6vk1wG54_sGP9TMoN4frM6wCfn4ji875uNFCC_Q,2483
torch/include/torch/csrc/Storage.h,sha256=ONcwX4hrWqnfd6I0TgXEHPDDUqUwuT6AIBVYINjMdZM,3178
torch/include/torch/csrc/MemoryFormat.h,sha256=q7Uw4UlVcCO9xvWPi7RRB1bl-j26E8hbSlLnnO_VNfU,547
torch/include/torch/csrc/WindowsTorchApiMacro.h,sha256=G0RofWcRO-qJMJ2tBEd5tHBGM-TWt02PQcHlTTQEuKE,133
torch/include/torch/csrc/Dtype.h,sha256=bk73mXjzsg8zxv-QVKDZdxOiN5QsnlAVj0W93sb7t8c,696
torch/include/torch/csrc/Module.h,sha256=wN2tjWdCnIQxJrMDwGu9qvP8r3Q-33eB2HkCvydBUUo,101
torch/include/torch/csrc/THP_export.h,sha256=0AAue69m6miNCOw9TE6To-G3EU-YFagMGQ3IM5x-_Wc,341
torch/include/torch/csrc/python_dimname.h,sha256=jonWGSNHt00X_g9aN8CudGW2fKpL2f9yKzGUe9Ct73A,215
torch/include/torch/csrc/CudaIPCTypes.h,sha256=9zwaBiCoTIoygA597VfmUtSnw3nClqra1WHOShD6VYg,3504
torch/include/torch/csrc/Generator.h,sha256=0Y1i1NKSg3AORpo6H0v1SkutJnUausw1a5yRdVdL37w,876
torch/include/torch/csrc/TypeInfo.h,sha256=ELy98ihypY76ViLiKmnrn0I3Lm6v0Xkko6hHzVdLl-M,498
torch/include/torch/csrc/PythonTypes.h,sha256=EKC16ZfnJtZCUTMVhRHejcApO0teKjuoGaL_LYziN-U,296
torch/include/torch/csrc/onnx/init.h,sha256=LvPEZNWUTUQybEJBqdvQMK0mw7t6wV61tuoyybldDV4,158
torch/include/torch/csrc/onnx/onnx.h,sha256=g86tNzYNRltaDAyOIUvalvxREeQfiZOKiWm9vGJ5f2A,757
torch/include/torch/csrc/autograd/python_function.h,sha256=FBQiTyIcfaPjEueFfL3j_b4yS72I0_SrKjUHwZizEKA,4601
torch/include/torch/csrc/autograd/custom_function.h,sha256=KEqliTwftgzG4ejxACds8OaRfibFNJ9xKSoTBNLEcCs,12331
torch/include/torch/csrc/autograd/python_linalg_functions.h,sha256=33fZHPJXpN34DCrn9taNuLkrcT0qVFYTAjypUjnpgBw,131
torch/include/torch/csrc/autograd/record_function_ops.h,sha256=bVhpo2aFwXwBfHIWCDR98zjyUTeQLdnAoToMjVfIwQQ,587
torch/include/torch/csrc/autograd/engine.h,sha256=pbKUL8C9R0M5UN80z3_U9EMHEdzOrozhyDjAB3yAOps,15021
torch/include/torch/csrc/autograd/edge.h,sha256=E2eKKx4iI-BeNZ_jYVqQft1pKE0iDduUyKXrOr3mygw,1627
torch/include/torch/csrc/autograd/saved_variable.h,sha256=LbggK_YEDQHnX8777rZ98elzHGEN-FUw4RwuS0GcRr0,2365
torch/include/torch/csrc/autograd/python_engine.h,sha256=KgUDR6w2cPKtr7HBz0-5nBOO3HMGok7IaMcR4tWNRZY,1148
torch/include/torch/csrc/autograd/python_legacy_variable.h,sha256=d6qy6AbjEH47I2b9cljOOMFh_shyxHmcOze-i7FY2zI,299
torch/include/torch/csrc/autograd/python_cpp_function.h,sha256=o_tgpl_LAOO7p4ebjxb0_B6ArLoYUdO8RLqOmVFSHEs,2456
torch/include/torch/csrc/autograd/python_hook.h,sha256=BqkozTkWom7ZF4uA6qebbFRO5WSDjd8Px_sJE5VCFzg,700
torch/include/torch/csrc/autograd/VariableTypeUtils.h,sha256=f3pvwgbQ8Jfr9VaeQ6AI_ESNLuogzbCkQgb8yE-v9F4,12839
torch/include/torch/csrc/autograd/python_autograd.h,sha256=3zNr-xWA1ck3nlQIyf0Nifz07qWhZfCBBUF7M7yD7bI,388
torch/include/torch/csrc/autograd/profiler_kineto.h,sha256=QS7wwIN--TwAunzx08IHhRXrx0yDQd-FUVA4GNd7bUI,4880
torch/include/torch/csrc/autograd/variable.h,sha256=5MdYdfEoEuoQ0r8K1CbXOEbiI9YAAgA-em-r_DLgt2k,32027
torch/include/torch/csrc/autograd/python_fft_functions.h,sha256=VIgjmVlZhRNvWDsOZid6EKOJD7em_cfg2i1O-yii3M8,128
torch/include/torch/csrc/autograd/python_variable.h,sha256=CzXx3ro9pebsL2pYBtv04-6F4cRRk6fwnNaPmyfcA3M,1517
torch/include/torch/csrc/autograd/function_hook.h,sha256=GZlBvCXdhe5_WZig22W37x_1HyUA_6BRhVXZ7vs_sLE,641
torch/include/torch/csrc/autograd/input_metadata.h,sha256=XhfpahGVNczVainnloNfr8kggP7QNv7gmcP6jNTGbD0,1384
torch/include/torch/csrc/autograd/grad_mode.h,sha256=NUSlOKt9cbFSXtHlVYFKEMai23xgo33gOsQxeXrXjY0,207
torch/include/torch/csrc/autograd/symbolic.h,sha256=1MNASLHK1Zi1j9QrZlNlXkRNaL1CsSebnOcBnMrifPs,330
torch/include/torch/csrc/autograd/input_buffer.h,sha256=3Y6uJ60ZnRlTZZOljQOqEisSoCsAAwNkLiUF4j94cpY,1477
torch/include/torch/csrc/autograd/profiler_legacy.h,sha256=XAROTPEsTfh_gn4chiK0_c42BBnwQgsMDfregQ4ff78,15583
torch/include/torch/csrc/autograd/autograd.h,sha256=NxG2p8lmh2hHKkzZRKjqQ-fydb-ry8F5Qw3NYYNZvHo,4989
torch/include/torch/csrc/autograd/cpp_hook.h,sha256=-gGLQPf5eUsCofR2Z7Jdd8wKGRxbN5Evk29pcK_lVAw,506
torch/include/torch/csrc/autograd/FunctionsManual.h,sha256=A1x7D0TdFN6PBjUAwPbeZHw736ky4mVT-YFMbr8B6Uk,16695
torch/include/torch/csrc/autograd/forward_grad.h,sha256=n9LWsjieLkOyTBjMAQfZPUKgChXbSA32tUIBhq0MkbI,8883
torch/include/torch/csrc/autograd/python_anomaly_mode.h,sha256=Gd4goPBNli0Vh34mdwwEhXiOqdbu4zvud5VYKaKUgDg,916
torch/include/torch/csrc/autograd/python_nn_functions.h,sha256=k5TkCP79dQY9_Yhn5cWZ-QhQWSinT9BDY9W1PVZw8FQ,127
torch/include/torch/csrc/autograd/python_variable_indexing.h,sha256=foBNzEWfPtzRJufX1_YsqZn7VLYZX-A9F7nDlE4UI0o,313
torch/include/torch/csrc/autograd/profiler.h,sha256=TYj8d1jD1jo2mY8yTm85jYW79B4hVnlxH-Fyn_MFZfw,112
torch/include/torch/csrc/autograd/function.h,sha256=QD_r-tAE3ZQc3bmRn5iJi2KeKNmAkw5MGBrlz4LWPUg,19833
torch/include/torch/csrc/autograd/anomaly_mode.h,sha256=rFCe-wyUmAeL9q6lMbxD2c6j-1X23_UBP1wEq_JpIDk,1525
torch/include/torch/csrc/autograd/profiler_utils.h,sha256=8Eju_eTDMxNtJh28tbYF4PP8IcwHPoXO-H9vlUVaNDI,439
torch/include/torch/csrc/autograd/generated/python_functions.h,sha256=NZb5aywQZWzzoU36jRufbTaVPXENKixj4dj23C0CcfA,295
torch/include/torch/csrc/autograd/generated/VariableType.h,sha256=UffaVD7T5w6_W3i7eUaH_7eQlp8wdtu8Umj2LJ-GGLE,1481
torch/include/torch/csrc/autograd/generated/Functions.h,sha256=IMfaN1URGMug8hqtpS5YR4VR3vmrs58FS4DXGeFzkec,228728
torch/include/torch/csrc/autograd/generated/variable_factories.h,sha256=knmrltQhJ4B2FEGdvGWFXjY-jM31eCpR0hm1VJ42Vgc,30132
torch/include/torch/csrc/autograd/utils/wrap_outputs.h,sha256=IaZuQnxMloPbYQQ3eyEY9hVokLB5dMQ7ccw3-3VJoF0,7102
torch/include/torch/csrc/autograd/utils/python_arg_parsing.h,sha256=JZglBHkPkm_VEk7kPDSvCjFrR8DYd6vXlh309cESbf8,1334
torch/include/torch/csrc/autograd/utils/grad_layout_contract.h,sha256=YhAYP6wC84jMsRjnjxlHxe0C5Vyf8oHHnpBBDKh4u2c,1425
torch/include/torch/csrc/autograd/utils/lambda_post_hook.h,sha256=lJoh2WBSU9N0os8dIuB8r5UExhXmjJjOBdfOLUy6yT0,976
torch/include/torch/csrc/autograd/utils/error_messages.h,sha256=merHHtD1r4etEDlwfFo5hnZZGmlqAR-IKmE7cYmajJ0,525
torch/include/torch/csrc/autograd/functions/utils.h,sha256=iQb2UefcJ_McqQTBqqXKeOFgCu1CZT8xlcm-N6RNGTk,2687
torch/include/torch/csrc/autograd/functions/pybind.h,sha256=Us2LYIcKUAm8ZLX7PZ9XeIX9GWqzgTbY2W3QHBzCquE,314
torch/include/torch/csrc/autograd/functions/comm.h,sha256=lmwY1qRmEwnzOybOOAhmNt1fEpL7rDAUqCZiNpimvuk,1271
torch/include/torch/csrc/autograd/functions/basic_ops.h,sha256=N9LMjHXHlSyrc7ZJ_eAgBLEc1rkyrYPvSPAZyGOQg3g,2513
torch/include/torch/csrc/autograd/functions/accumulate_grad.h,sha256=Iif3VNoScqdq-iUZM-zsyTFvmIK1VUgmXeAT1oi6NX0,11319
torch/include/torch/csrc/autograd/functions/tensor.h,sha256=q5AFwJrnATNPPKonLpZitP-N86KSM5bodwUmIE9njlw,3962
torch/include/torch/csrc/cuda/utils.h,sha256=UdjEkmr0e9o1tK1FSIQbuJXnLU7VIxd3CofX_EcP77c,871
torch/include/torch/csrc/cuda/THCP.h,sha256=3d9DQp3qNyOzx14AVh3CamJg7ruiRi-ODjvYjeqL7MI,421
torch/include/torch/csrc/cuda/nccl.h,sha256=q8FImaikmKue4lbbip4ZTbBJQRyGPMcwA0gEmcqxYwk,4981
torch/include/torch/csrc/cuda/python_nccl.h,sha256=MchozWaWH0jFkRRpPb2oohHGo0FRBSWB1xLNckyTGG8,616
torch/include/torch/csrc/cuda/device_set.h,sha256=fURKPxR2g35_x2Q1Zm_x0yrTTLef5162L-IUUKzfgDk,152
torch/include/torch/csrc/cuda/Event.h,sha256=GWWZLkl6d8nAFh7gmysiCDqVK0NhjtM-6Jpu0bHy4wM,429
torch/include/torch/csrc/cuda/serialization.h,sha256=mXabbNdH4FtXVlocGG-7kZTFzMasimpMvkDoPj0ZFjI,524
torch/include/torch/csrc/cuda/python_comm.h,sha256=dNWu08szVpac9efXIdcFkC2ECqFocCw8BRTIUPALGCk,114
torch/include/torch/csrc/cuda/comm.h,sha256=WDvhQJJ-BN8EC7LthaVxoVzjVrXtGF4ZXhSttT15ymU,1525
torch/include/torch/csrc/cuda/Stream.h,sha256=dzP7LwP4AqYnQM06FKFti0T41sSdcSKW2q1V6hB8C0s,466
torch/include/torch/csrc/cuda/undef_macros.h,sha256=v4TfQRnRNvtQQQR5mCcyL7Mn4vchPp5aKij23DZpXBc,932
torch/include/torch/csrc/cuda/restore_macros.h,sha256=LoP4lbCwizcPTcdiMErWmD7B3vqcKhw4Ld2Ag24wYf4,820
torch/include/torch/csrc/cuda/Storage.h,sha256=JkLMumIhIPnfjdmTLZOk4nrZzy2YkeOdkjbzyYNe_u0,2585
torch/include/torch/csrc/cuda/Module.h,sha256=n9nGbYLG3hTMAtgk1ouq6LeK43E4pfjCWmvv-ziqzr8,503
torch/include/torch/csrc/cuda/override_macros.h,sha256=qfe3X7vyG-sCAn9h5mS8T8iSlEoZTBMgTJVjT9caWIY,1887
torch/include/torch/csrc/utils/object_ptr.h,sha256=y3LCk8yYmusiAtq3pvJMZvdgHK_NqbFDVJHLCe3Xrt8,1329
torch/include/torch/csrc/utils/tensor_numpy.h,sha256=Rtn6Jk2XgtUfkOWpLcWV3GK34WQhSG_SNvNS-JXj2hw,515
torch/include/torch/csrc/utils/tensor_dtypes.h,sha256=CCN3IGF7XAPnKckRw4dgS5Q8xTPZsROq_JFHge9RR5E,244
torch/include/torch/csrc/utils/python_tuples.h,sha256=g20UbLqqRyDeQd-tyVEhS7tKTVaRl1lqXGE5o7KDgFA,684
torch/include/torch/csrc/utils/python_numbers.h,sha256=h9IOhtYT3UDdHduluXhkSWsgsKTkaMJkBd0_tG5Zp0Q,4902
torch/include/torch/csrc/utils/python_scalars.h,sha256=IcZNxRS1-JsSY2b6eCVQZqc5DsQUOZL-MtAkj5WKwtE,2922
torch/include/torch/csrc/utils/pybind.h,sha256=BsVDcsfj8amLTlBQ145LnK0kztmKtlIPrCCOk7UUQXY,3140
torch/include/torch/csrc/utils/future.h,sha256=ujOHBFiTOmz7YZ2S4buhn_X6ye96rE3fFYVYWNx-1dA,5443
torch/include/torch/csrc/utils/tensor_types.h,sha256=LBcYHR6QixqcYDDAWkibAYYayDkCDl2SJK7BtHAXn7g,491
torch/include/torch/csrc/utils/tensor_memoryformats.h,sha256=pzGDWNgwBBQpAY5ABj8_dqxbsTTyIqAj4KvVHf_yKqI,113
torch/include/torch/csrc/utils/python_arg_parser.h,sha256=q5zRnEjbLFydSDfGYwUIlXI9qKu_vi22e0Xa9rdzjSo,27853
torch/include/torch/csrc/utils/cuda_lazy_init.h,sha256=o0KD82pBFtUFVDo_qTPAq9nwUpyzQM1s6XjBtuPBW00,974
torch/include/torch/csrc/utils/tensor_new.h,sha256=XZCHMF-63CaPjY939xozQ_snAzc6jMDPeTVzh65sXZ0,1414
torch/include/torch/csrc/utils/tensor_qschemes.h,sha256=HsWQ2YhW5TFYJubL6G7IW7gJ3s9PASwT9jOvwLsQjrQ,186
torch/include/torch/csrc/utils/python_dispatch.h,sha256=RNxTXzFLKVGir_9X5DA8MwK-NilSNdMKBHxVa2mYQto,174
torch/include/torch/csrc/utils/tensor_list.h,sha256=E-Bnoal7WEjIjWV-3CtXXr_FpYKaLyxEt4yCDwbssWA,196
torch/include/torch/csrc/utils/invalid_arguments.h,sha256=dXhIUSgk21JztsfxdrsNWq40fQOVhPLmMWRQocy_q3M,302
torch/include/torch/csrc/utils/auto_gil.h,sha256=rIsRF7_gbeNkmX8eC5Um0cxDtCz_StL6XkspMAMYq5Q,1034
torch/include/torch/csrc/utils/python_strings.h,sha256=K6fQWAWjUjWAUPjYIL7s1PfPiqX_WELYE86ZwhFv1rE,3211
torch/include/torch/csrc/utils/byte_order.h,sha256=JIQG9WFDvB5okrcedLSS8bgOOg750x778TGYZeokKg0,2484
torch/include/torch/csrc/utils/pycfunction_helpers.h,sha256=ep3kDFTA6jxJUuovVvI89_QQ1rx-HQWMhQ6bs7arm_E,159
torch/include/torch/csrc/utils/cuda_enabled.h,sha256=K9zWYzmMDkAfm6a4JZoD_MRp_XUOPE72TpdThf3ga3k,154
torch/include/torch/csrc/utils/numpy_stub.h,sha256=1m2vyb-8t2lQGtylJZrcH2cw8nHX_OEtyKk7Q_jGg34,399
torch/include/torch/csrc/utils/out_types.h,sha256=OmxY4-4QymqVYbm095vo-SAh_9indXC8bR7FV_eFw9k,294
torch/include/torch/csrc/utils/memory.h,sha256=JFK0N6kdz71OVydD1V8Rlx3WXPuJB329Emv-XzJp5ss,940
torch/include/torch/csrc/utils/tensor_layouts.h,sha256=JmqWqT3uLaEW3YUwOr2C5A-olnNYUM75cgT_p19xCsg,107
torch/include/torch/csrc/utils/structseq.h,sha256=UsIo0St0lyuQqkp-cxXiopPlDKXoj_Vn90fSTLJC2x4,153
torch/include/torch/csrc/utils/throughput_benchmark.h,sha256=uo51GwSjf8dHNdqfn4Gcms7LBA_m_m_ONYFCPi31gEU,6823
torch/include/torch/csrc/utils/disable_torch_function.h,sha256=q_V-WOsEDVnEN-dp9eiKFMPP4KMssFBDoUbKB1NJMtY,863
torch/include/torch/csrc/utils/throughput_benchmark-inl.h,sha256=sJrf73qE4lfhMLCm_xyxPYkSfFkpsNI18jo1gpzMhQg,4910
torch/include/torch/csrc/utils/tensor_flatten.h,sha256=bExRQ6-NoqRQyvebho8bwb3OmxsjZpbv8BdeMe7Logc,2813
torch/include/torch/csrc/utils/tensor_apply.h,sha256=W4rKidZIQMWa5UZ6BGtNpd3E6nw9HTCpBOcJKuviplM,395
torch/include/torch/csrc/utils/init.h,sha256=zuhbx4d-OR-q_eON2gTWnke7iu1LzzhXSlgaQxnqO5Y,218
torch/include/torch/csrc/utils/python_compat.h,sha256=xmke4Dc_JazEx_rY6pkm02NC5zdlJki7HzpBHDnvyjk,2904
torch/include/torch/csrc/utils/disallow_copy.h,sha256=LkZc_EqcX_UrXj_Pi2woqJLDYnF9Fi_dHAj5QHAqidE,103
torch/include/torch/csrc/utils/six.h,sha256=sHvrBwgoX9Bdds6zS3n96NnTNsbO_6wZuZEDDVumwgo,1425
torch/include/torch/csrc/utils/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56
torch/include/torch/csrc/utils/variadic.h,sha256=wJNiKFvdPsrlqfPyYmipdIq4jhSSRaB1r-7zDMaKZRY,4229
torch/include/torch/csrc/jit/jit_opt_limit.h,sha256=E5jTsdo8VaMvrMeaaBbtTvxXPgdyugBQqxS2h57aLOw,1419
torch/include/torch/csrc/jit/jit_log.h,sha256=mLw4_CHRKt6Dc6HU3s4IDD8WQ_QlOAW-eq53la0EsyU,4008
torch/include/torch/csrc/jit/resource_guard.h,sha256=Pjz9gIeIPod_GIRC20vKqvWDaAWkupl59PvMm51Ox8o,429
torch/include/torch/csrc/jit/frontend/error_report.h,sha256=bvOPLrmUGoWryLwjLmAY4iJ_ql45Vs8ZRaAyIjytiuI,1480
torch/include/torch/csrc/jit/frontend/source_range.h,sha256=zrUN1ZpYufNr7xdvbYBaU6LSzs8jrNgMBt6NgaAQOaw,5809
torch/include/torch/csrc/jit/frontend/edit_distance.h,sha256=TEftPoPQ3w6SV4zTymxm6w-jbiWN5Svqgwh96GfOxj0,268
torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h,sha256=Qm78KPiY_g16XhfY95GWDMzmytKV6XNQIGPAJmYMe4E,326
torch/include/torch/csrc/jit/frontend/schema_matching.h,sha256=2zjNexvCBKTiwrzmrqFgc-KVWlPbPuiJRZumYjSk2K4,1939
torch/include/torch/csrc/jit/frontend/function_schema_parser.h,sha256=gQ6DdGRCr8Mmb5zp5vPKWzHPpmouIVK_rwJ0isQSYWY,460
torch/include/torch/csrc/jit/frontend/tree_views.h,sha256=cpiCAlUV5WKeB2tlf-f_bI_EpeM5zMUrMkHJWqAf_1o,34121
torch/include/torch/csrc/jit/frontend/ir_emitter.h,sha256=VLPmvzzJjQ0JcVDcWzHF-1Ey1UhwxYuEdzh3YvW7Ws4,541
torch/include/torch/csrc/jit/frontend/parser.h,sha256=NsBOT1h2BiHIGkt216f7OuJKQ5CNrdu46Sc_OVEfuSs,688
torch/include/torch/csrc/jit/frontend/strtod.h,sha256=uz_5oBr9sLkY6c5nH5Qi8vgJI0HKCpfmwMzN-xKu06c,240
torch/include/torch/csrc/jit/frontend/tree.h,sha256=Fg4R-e0KLJjTr4VBlSMmBL63HY07NrJXPrfSun-7vPg,6634
torch/include/torch/csrc/jit/frontend/concrete_module_type.h,sha256=53WlSfBiBMmFCyOuUX_iK0P2-uGTcUmte7iDg2QF7Qw,9040
torch/include/torch/csrc/jit/frontend/builtin_functions.h,sha256=yT33Dl87zaMTYSeg03wQVPetTRAHoiYPjHbFQ9Jzx2A,254
torch/include/torch/csrc/jit/frontend/exit_transforms.h,sha256=YEDhIfPqEEIN8LfnSGKIaOIAI9P8dOvC4tb8N5W3OHU,232
torch/include/torch/csrc/jit/frontend/parse_string_literal.h,sha256=JOOga9SsWRv2zTiQNby7VWv2006Y3g5SIyzhGIEh788,2244
torch/include/torch/csrc/jit/frontend/sugared_value.h,sha256=bJD_7rUoINZOJRZyZmXIjkiYwwV-SUb8Xs_Ab1dwkGQ,26747
torch/include/torch/csrc/jit/frontend/inline_loop_condition.h,sha256=2VkI2Z7yb5LPMmmrEpBpQ0Pzl0DFrOHO_-50ToH7tV4,366
torch/include/torch/csrc/jit/frontend/name_mangler.h,sha256=ImFqdy-AGwnGGDFe2OyLvoIixUO9yz31C1kAK1EQSMI,669
torch/include/torch/csrc/jit/frontend/code_template.h,sha256=_R8UON_m8PnPwpBnRbMKgNkBiR4BZw7QlKRKqft4quM,6720
torch/include/torch/csrc/jit/frontend/tracer.h,sha256=eUkbGFmLS8eA8R-J2cAnTSZ-RRCfb6oeoN1E5MkmGXQ,11333
torch/include/torch/csrc/jit/frontend/resolver.h,sha256=0zyuxr9ru90IRhEkhLyxkFuczEk0_KbZlhmHVMzxbXk,1972
torch/include/torch/csrc/jit/frontend/script_type_parser.h,sha256=zV_esglvTjcOOzMkjEb61ddqoRT_Lc-hVnu897y5yEA,1493
torch/include/torch/csrc/jit/frontend/schema_type_parser.h,sha256=tDYskKbBqvSajrgnSKuAZc2D2qm5pZwJHWanUT-e4QM,977
torch/include/torch/csrc/jit/frontend/lexer.h,sha256=pPVuAzo4zypfcm0eO5b93d4mecDcqPEEgZ3XJrsMpjc,17984
torch/include/torch/csrc/jit/frontend/versioned_symbols.h,sha256=GYyZGbkO0rWrYn_9AbsKNDOAqDiWOLuYD9lZYThO-BE,597
torch/include/torch/csrc/jit/frontend/convert_to_ssa.h,sha256=8x2n7RU7fReThTzed3LNoQypPoGV4vcfa0_Z0tVETRo,341
torch/include/torch/csrc/jit/frontend/mini_environment.h,sha256=5fVSkTz_lmwA3gdEUzStYBu05gOcjWduuJvAoNKkDs8,1287
torch/include/torch/csrc/jit/frontend/parser_constants.h,sha256=ENeKl7-wM4ljDf2sR_qynnnCke8d4YrCyxKxM5OmSwc,162
torch/include/torch/csrc/jit/python/pybind.h,sha256=xPUh0nBGuQA1MugqKOr2OMdqPezUf8jAIVkFfKVZUUY,7828
torch/include/torch/csrc/jit/python/python_ir.h,sha256=OGRjdY0gHJEa_wUvoBSBn2jrBBAXVCluzQlzOimzL2A,1718
torch/include/torch/csrc/jit/python/script_init.h,sha256=USj2F7aUWMsDv9oHYmknRiwDOUik_vXgzlHCpqNNHcg,177
torch/include/torch/csrc/jit/python/python_tree_views.h,sha256=PPC8nGS2aelYxgjqCxAWCKmNTj_neQb4uQFk6LL1uno,175
torch/include/torch/csrc/jit/python/python_ivalue.h,sha256=Q6xVTSkTZvsXhU8zAE61w-o8XVOOYNcohQOjft98pHY,2373
torch/include/torch/csrc/jit/python/python_custom_class.h,sha256=6Cs8p91I42JxKa3nyzN507wl2GKKc6-0mgB8n99LFlg,471
torch/include/torch/csrc/jit/python/update_graph_executor_opt.h,sha256=vQhpSR2iiMuEODLipFBw8fa9gBUB_DImzTRBkko8Nic,224
torch/include/torch/csrc/jit/python/python_tracer.h,sha256=QKVPi1QHLPdYoqb6_nmf5V0_RZAZFifalApzWOepJsc,854
torch/include/torch/csrc/jit/python/pybind_utils.h,sha256=vvRaUU_i2sE35xsIeMEAB3-73QFVBwBAEdrT_bCtLGs,35138
torch/include/torch/csrc/jit/python/init.h,sha256=_M2l5u315IKW7GX4W9olYSPicQXaeHwH-dKZCO5axvI,151
torch/include/torch/csrc/jit/python/python_sugared_value.h,sha256=SgObWReugUnhkZO62qri_vrDEPJ-V0-zerha9K86xtY,9955
torch/include/torch/csrc/jit/python/python_arg_flatten.h,sha256=7tS8K8AOJwAC_U8zNfhdYY7ougmqO0X0Os0wdEXe1bw,3538
torch/include/torch/csrc/jit/python/module_python.h,sha256=tewwYylmoALVRtskk3k0g38JjFVsRoJUnFUUR6aJnik,444
torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h,sha256=9xkUhyqz2nqJ4pmS054sTD0VRCqgZqAQPS6u7-u1izA,3478
torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h,sha256=OnskU2OyhF4Om7oqhjVuliyl5uKRAtDli5tVnZeJj_8,16765
torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h,sha256=PzEoMp3F250RPgDi7dAnxhmfozF-kT9MIeOwN8zSB0U,3022
torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h,sha256=lHwhA8w8uWMVsy4HA_rK-9SJiEeFVBVxOZzTujJxuts,1687
torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h,sha256=INBGA6k25_MhWFjgjH3vqwPqTUupzoDo-qYARLMW8MA,268
torch/include/torch/csrc/jit/tensorexpr/types.h,sha256=S0MCPtQ82xb_nVwtLS-QRdf0pVI1OMp6C8bUrlEWiJs,4664
torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h,sha256=PKua1ll5NbLM9ufKBVSYFRL28McQTYqsO7tw8mgVNdA,13343
torch/include/torch/csrc/jit/tensorexpr/ir.h,sha256=xrOSMtKkgYZBzAUkISKQvZwJrAAgRQAeCVSffEBxOgo,21418
torch/include/torch/csrc/jit/tensorexpr/exceptions.h,sha256=45devPXbVDl3QJfyQ0egWpy0ooyfrjh4GD8m18JX7Wo,2387
torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h,sha256=GydZjdXYl2Hz5xoRVTOQ02sCAuYosjkdExgQKRPC09k,7354
torch/include/torch/csrc/jit/tensorexpr/hash_provider.h,sha256=1VkhrvxRWk5I4paWSeeVJhxqpz7ZW7X313Qdsblcg-4,7177
torch/include/torch/csrc/jit/tensorexpr/ir_printer.h,sha256=1iBVE9yJIyDOLLUGkIZH-Bj3U2xleE6saHHFBKolRTE,3416
torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h,sha256=_-9tHWXDoeCaPGzyDjXcrfK3sWOonHl-RRp6v88A2UU,1575
torch/include/torch/csrc/jit/tensorexpr/expr.h,sha256=uzS2RHX6JpjgLQe0wtZuykRVlp_2KmRs-ZbdhFP2zHw,9710
torch/include/torch/csrc/jit/tensorexpr/cuda_random.h,sha256=c1i6pdqn9m-l9PeMXeNlhW9qiE8FlLSVj2DV-ioYB7c,2642
torch/include/torch/csrc/jit/tensorexpr/execution_counter.h,sha256=ddpk-AulGCnEy1u6oswODZVuf38JYnTZBCGqMsrgJ64,3333
torch/include/torch/csrc/jit/tensorexpr/codegen.h,sha256=7gYr09KcW_gC3B00RWSKTLHhjPgRX5VjE2Glxl2KxPo,5646
torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h,sha256=UwJ5qa-p-QaovdO9qDGLRNTXfXvjwpXjMmzJtUwsywg,841
torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h,sha256=OWBnOLHNUZx08nH2-3Na6MhOCZvbAceQiTdLhrM2lfg,538
torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h,sha256=d9fT84cY6tgt6sdFQlR_1wuRTFWKLli5py_s0NqT6Iw,1940
torch/include/torch/csrc/jit/tensorexpr/eval.h,sha256=0OqSnPT6G1OyZw9JsJvFSELTODMXtkO6nUK3SeGmIW4,6529
torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h,sha256=6aljKv_P7uX7yikNxCVDoJ3P1D6MXLluctdqM4acU_8,1381
torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h,sha256=xFMYwrG9FzKJKOWVZSlyRaRn3YPR8SuDDAo9Md0GPVQ,420
torch/include/torch/csrc/jit/tensorexpr/block_codegen.h,sha256=uqC4diHYEw1jpcOwNO4cNrEOofhc3UYOCE5aB2Xqe7w,4262
torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h,sha256=kwJp_keKIdnhx3tsD6AOQaOITBvZ2pm-HXmiGwO1ZYw,2343
torch/include/torch/csrc/jit/tensorexpr/kernel.h,sha256=ajJXYaGxeoVlQQl5nvB6_4eXP282DrN_N752FWAGPWQ,7598
torch/include/torch/csrc/jit/tensorexpr/loopnest.h,sha256=_IPGfahN-AgDjU8UVXfZDS4ozxPrEffsvQmqo7sFJgk,4656
torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h,sha256=zqoSV6Q3JT3RdWi5cwWtj-aWuixGp_iTBPH3soVrk98,3353
torch/include/torch/csrc/jit/tensorexpr/dim_arg.h,sha256=HFm0ANfvGPtL8FT37dqk1gHc6J1O9DAPOCghPHW7ouI,880
torch/include/torch/csrc/jit/tensorexpr/external_functions.h,sha256=n7Bk2dzrvT7qiWxV6uVUcu9jhYNg8IyuJguPat8wAx4,593
torch/include/torch/csrc/jit/tensorexpr/stmt.h,sha256=eVTnCpqiz09P2rrfH42PiTidsQSJluCbqO8QCbJ-vtE,18552
torch/include/torch/csrc/jit/tensorexpr/half_support.h,sha256=TiNPzjox1gA9G1AbMxJwkStcDUi3YQd3eW9K3HcdOU0,3466
torch/include/torch/csrc/jit/tensorexpr/registerizer.h,sha256=7mcV231XuOCjtx87idC1yHgC9evuE-93cs5oI2LyDVo,12444
torch/include/torch/csrc/jit/tensorexpr/reduction.h,sha256=iPd6dk2X3vT3JKSu_TnJucX8If1pyWk2fSyIOJ-uYDo,7320
torch/include/torch/csrc/jit/tensorexpr/tensor.h,sha256=PLFLFiUp34Vh2-1HAjsCIAoJuuYgTZq5SsKlxfeHc_4,8953
torch/include/torch/csrc/jit/tensorexpr/mem_arena.h,sha256=gxjBLdfV997VeUchYqNY5zpPjgOUW6ACaIflIwmC-RA,1900
torch/include/torch/csrc/jit/tensorexpr/analysis.h,sha256=FsytxXYQFHckGQsNOs0JRR5zlEqCB-sBTQ5Yv3mPUO4,4331
torch/include/torch/csrc/jit/ir/named_value.h,sha256=F1xor48KYj86FFgW8e74gj5kuwgDDinW0jZrJzT8AGA,2397
torch/include/torch/csrc/jit/ir/irparser.h,sha256=msAmiagsZW2qaDu9b5WIP3fDC4v8PKV3AQ8ZS1vReps,767
torch/include/torch/csrc/jit/ir/ir.h,sha256=HN469yfgjfBLZEJmXcnHeMNRUueLv5YwAlfkUjXPxO4,44114
torch/include/torch/csrc/jit/ir/graph_node_list.h,sha256=l2pdmnkIV74huhE_SjlSUFL7083GF1FGsQN18c05hIs,6360
torch/include/torch/csrc/jit/ir/ir_views.h,sha256=ifwEW55Aywn6lTEL-dN_aXz8A4P565U7nofliAYUbmA,4600
torch/include/torch/csrc/jit/ir/alias_analysis.h,sha256=85w1paGuhy8E_Y_lPOWHuJQeLr4FnIPvZsmHfAqZu7I,11064
torch/include/torch/csrc/jit/ir/attributes.h,sha256=jCOgxOROCs5jG0ZRsexwMPYgVuHvzOekkH7mcgD8SB4,4516
torch/include/torch/csrc/jit/ir/type_hashing.h,sha256=SKEP-8m8LiQ2SKbCsW5jcc6SUBaNuJe84ffZgZeMf_c,449
torch/include/torch/csrc/jit/ir/constants.h,sha256=AkuHi2JPBgGyGhIhZNvKih21pLWArXoHcOeg17Hv6TE,2034
torch/include/torch/csrc/jit/ir/subgraph_matcher.h,sha256=OjnS2hW2wVTE9bEtceHHLYDnKDXdf9WjhhN6JIJsxaQ,3151
torch/include/torch/csrc/jit/ir/scope.h,sha256=s_DS0ns9kr93NqGDjn1LUvnKrUHHlEQXvGFDgAJLOmQ,4600
torch/include/torch/csrc/jit/ir/node_hashing.h,sha256=YFHiWACcNrteucwRCbQuBqwo0bQ6vPaatKkCS0Sb1kk,290
torch/include/torch/csrc/jit/serialization/import_source.h,sha256=0019B_-ekjIXDByvMB-4McptpEyaviP0cvOPqKfS6XQ,1187
torch/include/torch/csrc/jit/serialization/export.h,sha256=OxG4mIs5kecEcRG62DNfL5d9Sw7yMHDuteKu2C498pc,4831
torch/include/torch/csrc/jit/serialization/import_export_helpers.h,sha256=AkAKNlNXoEd0uwK4NlgJ45OQ1yycbxppvdYL5Bkj_p4,709
torch/include/torch/csrc/jit/serialization/type_name_uniquer.h,sha256=Iw47XHz7lPkgC9K5dUolB51xJ24SCWQ362jKGukbUKs,779
torch/include/torch/csrc/jit/serialization/pickler.h,sha256=ePNPPEs3fOvG6WvSrlk2whocqXRi29Iu5lYVZCSzQCA,8064
torch/include/torch/csrc/jit/serialization/python_print.h,sha256=vJlN-L9PlgSi0qDE5NxohSmdODa67yXBtBgmfGkL4SU,1180
torch/include/torch/csrc/jit/serialization/import_legacy.h,sha256=oAVCnzvpIQGKBCUWw7XC_MPFPCYoFzPNtbRaLiu9leE,496
torch/include/torch/csrc/jit/serialization/import_export_functions.h,sha256=NSjaLaWS4xLguZ1aKVlMX-yFqxzS5YVITEL0PTY-uS4,417
torch/include/torch/csrc/jit/serialization/pickle.h,sha256=a6PAbrVzTo61rK34qqTn67DQxbu6F8L33Gz6EyLWPJk,3071
torch/include/torch/csrc/jit/serialization/import_export_constants.h,sha256=ezWjfWFTWr2GW-16uGX9KhRQRSfcFjsRDRw-5D_yLn8,667
torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h,sha256=dU68c9Z2uo1G18r-G5rV0o__iWoysvWldQ0T9V5s5s4,684
torch/include/torch/csrc/jit/serialization/import.h,sha256=G3ae44LO6dvnmvbRM8jcD4k1btGXmKdn9UimqQ0X0dI,3190
torch/include/torch/csrc/jit/serialization/unpickler.h,sha256=ph26fxsihJkmCGSqUf_U8jPD2q-WMKK8l1U6077jweA,5874
torch/include/torch/csrc/jit/serialization/source_range_serialization.h,sha256=i3ofFQcpf9A5qxRPZEgJnYkJZ_kLzaWck02BfHyZXNo,702
torch/include/torch/csrc/jit/serialization/onnx.h,sha256=MACgWo0l7D149IqzgTV-Maw_--5a9Kx2uqEgFqxuuqc,229
torch/include/torch/csrc/jit/backends/backend_interface.h,sha256=i6w5cWrppJHzfMGlKB9b9B2h7KQQ-drg5-HdQQBiPGY,1265
torch/include/torch/csrc/jit/backends/backend.h,sha256=pQTU3RdRKlTTBWyrfgoYZbQdmqE8grAVqTsdkM4Dlu0,1299
torch/include/torch/csrc/jit/backends/backend_resolver.h,sha256=fcuqo_lthD5E7OM7nY57kLXUNzMTiMcAe0GPpr1L9qE,277
torch/include/torch/csrc/jit/backends/backend_detail.h,sha256=txrooM0K8QNl_q5H4ZDlu8PjwB4Rlldx_CrpKHH04hU,1464
torch/include/torch/csrc/jit/backends/backend_init.h,sha256=oO64G0Ay0hdQtUeGSgXccDAWxSZ49bw_0wKNahGjM-A,277
torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h,sha256=rdy55AEBs3OEHyZ2mh7NCyGAQesG0kBnh9ycKCVPGjw,821
torch/include/torch/csrc/jit/runtime/operator.h,sha256=A4c6v1xnA9anggAiHobptWFj0BZtG66MoJTm4XRfC-8,9081
torch/include/torch/csrc/jit/runtime/interpreter.h,sha256=SuROYQBxVl6Qm0vgOXrDtUl87hEPMUxCTmffcn-GRdY,4307
torch/include/torch/csrc/jit/runtime/register_ops_utils.h,sha256=E3fT5PFU0Rk2U97CG-qBfKkvi7xhzL2n9dkZuRmYjfg,26557
torch/include/torch/csrc/jit/runtime/jit_exception.h,sha256=6QhhY8CjqlRx1fKv4wFe1rLM5-pZYCXcop739VaQhgw,270
torch/include/torch/csrc/jit/runtime/exception_message.h,sha256=b1h9FzsD7bekCVZj3jYX0jY84NWYYlQ1JoNDUqoiabk,639
torch/include/torch/csrc/jit/runtime/argument_spec.h,sha256=0C4k94w5saRDESisrBG1gDQqdzLgRia2Ex9fydlimZY,15593
torch/include/torch/csrc/jit/runtime/logging.h,sha256=KYiUWd05DOmpQy2P39m9jfbDX9mA2Hn1QlVJGWD1L7k,2584
torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h,sha256=adxcY4R4qatELDJ2N29HBOdHFoGGd-h2DdjBFg82sBQ,1738
torch/include/torch/csrc/jit/runtime/custom_operator.h,sha256=_qFcyQ2Of6g1TxNOvJIuXpKfsFIcOwxlFuigtdfLQmc,1070
torch/include/torch/csrc/jit/runtime/vararg_functions.h,sha256=yfbUXwlS-4zPVN4ieKpQdhK5lV0ghcoKKt4sR5YUDvE,992
torch/include/torch/csrc/jit/runtime/symbolic_script.h,sha256=i9bNX0eEYDhj0BQbUxk3o57op6HiI7TjAlyYYZH3vLc,598
torch/include/torch/csrc/jit/runtime/variable_tensor_list.h,sha256=QFlToAFx8imJdLPtK212uUP13_PoQ5nwdelUOVmRvLI,545
torch/include/torch/csrc/jit/runtime/autodiff.h,sha256=aOHoEayTpnhFAC3R9J_Cfq-VdbKWXoibTVmVlAc2-mo,3993
torch/include/torch/csrc/jit/runtime/print_handler.h,sha256=cg2cbXvaGwglO5qaoFe8StEMTPvfobzinvivi5ehqbQ,340
torch/include/torch/csrc/jit/runtime/profiling_record.h,sha256=us9btApDMVJMBJnVi3aXv0CiYWYXWFTJvruCYsYJnX8,8992
torch/include/torch/csrc/jit/runtime/graph_executor.h,sha256=6gDpZMLBbTNUobM-4l_wATu5HNDIpb8OLBd8D5Kqtkw,4316
torch/include/torch/csrc/jit/runtime/operator_options.h,sha256=MIdeHgKXa5FmhR6I7WbTRbvA5OtnJxviql_BZ5XPysM,189
torch/include/torch/csrc/jit/runtime/instruction.h,sha256=-PP3MpvOAaLNbQzZZTo-yzTFMOvoch-kCNyfxqn2dMs,3894
torch/include/torch/csrc/jit/runtime/graph_executor_impl.h,sha256=Hn7A6cPxPDJhAEdgS8HFcq9EaKktlKeRUNHN2muGeTg,3488
torch/include/torch/csrc/jit/passes/remove_expands.h,sha256=p1gyyUkdAl8paoIua_hIw7w9gZ6tbIOYYqkMND0ZVZM,175
torch/include/torch/csrc/jit/passes/peephole_list_idioms.h,sha256=PM4H4ieVBYgWfwO85yG3ozBYle8BxhD7pAoE6TTnW3g,320
torch/include/torch/csrc/jit/passes/subgraph_rewrite.h,sha256=aEts65NH8nhMLTgUk6uVArwxVKRpjiEb-PuJmFXvsqU,3768
torch/include/torch/csrc/jit/passes/fuse_relu.h,sha256=hVpx9P8NMSHI5IlJWKSpNEfyatDQu1nvyD1TjABKxrU,273
torch/include/torch/csrc/jit/passes/guard_elimination.h,sha256=2FhtbBI_08AQctCcCpMnKbB1LTnNXx3Cita9z43oljc,390
torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h,sha256=xSS9mwdkqnd5TguEvqsSyisERX52kIH8m-EgR44xvg4,319
torch/include/torch/csrc/jit/passes/freeze_module.h,sha256=2PvN5IQOg1BP-8m2pRMi7ChT0Kd3WfgpewGy_Pb4c90,886
torch/include/torch/csrc/jit/passes/clear_undefinedness.h,sha256=08karlN19r8LM-gnxr8vyJvOKMoSNn6FIjkJZXUsgt8,889
torch/include/torch/csrc/jit/passes/peephole.h,sha256=JAYCk7UnZbvoWIyxT4y_6EmhqIEXcn2XNp84ipGam60,400
torch/include/torch/csrc/jit/passes/remove_dropout.h,sha256=aJSfxwDS13gEka6gtqrcZ2EFeX5iRsSNN-hoe7Zq680,218
torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h,sha256=WNrA8iRJorDUG9Fsq3fVNMcLbJ0x0WuaQx4cSvFaefA,740
torch/include/torch/csrc/jit/passes/metal_rewrite.h,sha256=25_wn_jqFV151KKR7c7NcU62VysR4u0c6xLQGYV268Y,606
torch/include/torch/csrc/jit/passes/liveness.h,sha256=BfC4W4bjvImsK8xQXoO4_wk-2izQvKz-KA0Kfn332tk,663
torch/include/torch/csrc/jit/passes/remove_mutation.h,sha256=ELaqEg9jvoGP5nCjlqiYvXP3xwRDd59tYTbFthXdCow,2715
torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h,sha256=vM5buPLQzMEjjxFhzHAf3tJHmtASp06_ojgZyBJzg2w,194
torch/include/torch/csrc/jit/passes/batch_mm.h,sha256=x6DsjOKNXdXaQ_EVz9FKqf281Mmcn_SlA8LR2AVKikk,163
torch/include/torch/csrc/jit/passes/constant_pooling.h,sha256=N1a2ZiNietyOW2zvh4tSQDsdUYMaUzqla0kLVcd5QP0,177
torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h,sha256=JRZ3Ldx0_3FUSVJ78o6yOVY6R7QL61vKMjyhZunwuv8,177
torch/include/torch/csrc/jit/passes/fuse_linear.h,sha256=1N_lvMiWybbdqWYvkRl2tC_DMBAwebqpv4IfASeaM1U,526
torch/include/torch/csrc/jit/passes/annotate_warns.h,sha256=KKMFM5nOCeVUKI6x9Kx223EEfUU5uM5kxJc9SZtBE_Y,192
torch/include/torch/csrc/jit/passes/specialize_autogradzero.h,sha256=66bMvmBU5JN-2Xg6fpNquws9feQTGSWpnt_vJnldIaw,656
torch/include/torch/csrc/jit/passes/prepack_folding.h,sha256=aQa61BMSpx4GgU6KpCVyC4wLSEVGmM_FDxxnEjkRmyo,358
torch/include/torch/csrc/jit/passes/frozen_conv_folding.h,sha256=iTx--ACVtOzFOZyFH3VSnvC68Pe4VkrE5S2CrRieS_E,872
torch/include/torch/csrc/jit/passes/constant_propagation.h,sha256=0WqbdD9sDv5JoWOmqQh50ijpiU5AlzvMrcg3JSA-w-s,1177
torch/include/torch/csrc/jit/passes/insert_guards.h,sha256=NDKPf3cn2YZdx3OFBDy63VuEqXoWz0Ce8-Yd4kh0_xM,453
torch/include/torch/csrc/jit/passes/inliner.h,sha256=LqhyKXyhI4ZrDf3D4S0SBRhdhFGECpYr6Kk7gpg-9dY,199
torch/include/torch/csrc/jit/passes/lower_grad_of.h,sha256=lQlKvI1LTZ5jSQp8VB7SkklnxoSLeTcRRoQQB0Gvt6M,348
torch/include/torch/csrc/jit/passes/normalize_ops.h,sha256=Le1kIVBt2PrVmUG1i5Cf-U2ueWGbFKBD_RgIEgqhVXg,536
torch/include/torch/csrc/jit/passes/vulkan_rewrite.h,sha256=yne1jejhhaDxj5xvORBpVOQb4N7m6TxGuHedEU2zIn4,576
torch/include/torch/csrc/jit/passes/erase_number_types.h,sha256=Kmo2twe5eipNFUqdjpid5zSJaGB54xmDJZsduuVKEO0,759
torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h,sha256=7KJQMakJgmUKNGLTxYqhoJgrY4Xd37NkTD6DYmeO7Oc,1775
torch/include/torch/csrc/jit/passes/graph_fuser.h,sha256=OmRr2eUGmOestRE4rQnwh1OWKCY2eW2zHLMuMU_nVmg,1158
torch/include/torch/csrc/jit/passes/fold_conv_bn.h,sha256=9b7Yb9DR_c4PDTjoCTe3AJN4pfkzcCSI3L0JugCS7zE,966
torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h,sha256=38Ckt94TgwNUpk1jEpRJqkEfkS9VHa81qMkFfr5DVys,196
torch/include/torch/csrc/jit/passes/inline_forked_closures.h,sha256=7onwZDOB0yy6gVuOOddO_bAgKJKbdRi1nA-d013n4ZI,241
torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h,sha256=zevAuMeEDjTB4sSxtgRAQ5XsDlP0MECX_coLhya-xkk,1999
torch/include/torch/csrc/jit/passes/decompose_ops.h,sha256=9DiAUdCsDCp2tvCNck4UQR5A3U8An4bQuS8LTyubXKI,168
torch/include/torch/csrc/jit/passes/remove_inplace_ops.h,sha256=Jc9B6oTsIBXl_x7872GyBdbWiJjG_3a3TD24YsErM_g,296
torch/include/torch/csrc/jit/passes/inline_fork_wait.h,sha256=REGVjC2nZkSpOcU3VOjTrw6zF_eZwZJxusr29UYQTsk,547
torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h,sha256=k4PkuqGYA33lyo3vVHJF9YXJbLU_x7WDvTZy0jrG4yw,552
torch/include/torch/csrc/jit/passes/requires_grad_analysis.h,sha256=KPpyu1a7g7YD4yYTkIn9bisbLWFELbmzcT6kCyGvYi8,260
torch/include/torch/csrc/jit/passes/dead_code_elimination.h,sha256=qCIO97-UVqUaVmO9TyFEt_Mh-oq2unIM-J96Y3_0YbI,1584
torch/include/torch/csrc/jit/passes/clear_profiling.h,sha256=0HsmdBgumH_VLEhkJamTSYfxmwJMtTl91cOn1kWN6nY,334
torch/include/torch/csrc/jit/passes/create_functional_graphs.h,sha256=_mLDlyHDYYJBSCx6ImVAYGH8QKAxt1b6Y9j1rxQgqJE,323
torch/include/torch/csrc/jit/passes/bailout_graph.h,sha256=xcF0a9C_tKZ_EuPdT8Po_TF4RA2Vzj9yoZAyV2KnQvo,1129
torch/include/torch/csrc/jit/passes/lower_tuples.h,sha256=-LvG4dIykeTo4kSbPF5_zFlyBNfoi9vcOCa0gdLTjWs,666
torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h,sha256=ej2fBhos0Dk0brfuH5gKGZJK_z5yxXSYWhnMrD6k2Xs,435
torch/include/torch/csrc/jit/passes/canonicalize.h,sha256=ZEyVhzOh93JtrRAhb0sAkiH-KuZjVrYNAqL5Tn7oST4,492
torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h,sha256=RPdZCCa3I91wwEBruCktQgdtFT_skrNuaHAbVXwRpTI,211
torch/include/torch/csrc/jit/passes/loop_unrolling.h,sha256=HXCCzYvgYlh3YSNO8ASYQKTfUmD-aYJpMQyomzIHUkY,787
torch/include/torch/csrc/jit/passes/shape_analysis.h,sha256=4Dzj6tmPL7D3U5tsLvH0l-AaXWiqCtSRFSZuuhR_g3k,318
torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h,sha256=U-HcU_4QjcksygXEtBVU1L13oS0C4KdEQ5GJ8JthB7U,1673
torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h,sha256=H5j-cg-2ky6V-m57XOMhLX0zdBI7w8ANRI2B5Z33kJY,275
torch/include/torch/csrc/jit/passes/inplace_check.h,sha256=xijQSXw2abZOHPa_uLlXIvbSpzeK0cVmStxC7ahL04g,168
torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h,sha256=dFsxjJnYr6v-1YEzFsFDrJo9RQfQDBWGlXP0XVEsK78,860
torch/include/torch/csrc/jit/passes/pass_manager.h,sha256=1zJDK1b7zpL6KsgrlSpZznwAcvNrno-ApyvBnOEbA8I,4635
torch/include/torch/csrc/jit/passes/onnx.h,sha256=iQKaDB8icjbROjhX8FCxKsc9yQz4OAdBWrL3cWaZLIU,604
torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h,sha256=_P2Bflway7Jvo8mQbCmjv-q57ARF-QvepQVPmugg7og,917
torch/include/torch/csrc/jit/passes/lift_closures.h,sha256=_TB6GFWWc84SljMsi0b_b0A0DPTqRnOU9FYBMZ7MRa4,236
torch/include/torch/csrc/jit/passes/lower_graph.h,sha256=HKZxM64wjqRanSbpfLfBJATMpgTDGhFGSZt0pgKu67k,750
torch/include/torch/csrc/jit/passes/utils/memory_dag.h,sha256=KZ1D0CmO-3-i1h9axIp-jw80_VCTF6CClKXYDd3F47Q,5555
torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h,sha256=nsCPoRj9TUKAFKDLlJLfy_jlNi9Gz8hKUMO3UeobwNs,2578
torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h,sha256=pZafsHGeDV3cPTfJJubzUe20nGjb8Jsfe_pU7qaEFCY,612
torch/include/torch/csrc/jit/passes/quantization/helper.h,sha256=WbOisL3vUlLTGTlQGp0uKB0_lyQWOSB5tQvZUYL6TgA,7381
torch/include/torch/csrc/jit/passes/quantization/quantization_type.h,sha256=qVWFRlUY7nbBStb4Izgmr39oFuMhcHsurz-RHz-tr1E,334
torch/include/torch/csrc/jit/passes/quantization/insert_observers.h,sha256=GMY3wOQhsyVIH74jZmRJT29636zsiE9txUMn8BEMKfY,1417
torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h,sha256=BO4QlaPSdH1I37kIrdUi88CDoLDm3MYaKY-7YjMFNGI,826
torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h,sha256=hhDyjkAvrI8eQbsTyj32PJ1uE5IsmbrqQsg-6fKULyI,51117
torch/include/torch/csrc/jit/passes/quantization/finalize.h,sha256=JazNvtxg_vBNhIrfwIac8qq03BDxxVJ5EiRXPuTb-CA,2200
torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h,sha256=hHbrI1_fyY97k1YuU4XuknxwDwakjwo_fz7YoDwj6t0,1633
torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h,sha256=uDbKWQfLMcdtJt4H-1h-V4JCT8mKzKx6cAtxb5FtxkU,191
torch/include/torch/csrc/jit/testing/file_check.h,sha256=vS98tjp6zAY-gJZW8sJeJS0_DKtJJ4RngX8fVkoL81E,2421
torch/include/torch/csrc/jit/testing/hooks_for_testing.h,sha256=CEGFv6EplFRMg9XkAbw-VrjNwid7g8osnY4aJQUJq4I,617
torch/include/torch/csrc/jit/api/function_impl.h,sha256=kITCdFOvUXXcl4UR85P8s3IGVuw-fwQTsHdfpkUdEX4,4302
torch/include/torch/csrc/jit/api/method.h,sha256=tEgL4-1vWF3ZanfrEsSDitudBoXYRpzLrIJ1MJgIkkE,2048
torch/include/torch/csrc/jit/api/compilation_unit.h,sha256=viMZe2KAI-37xOEv0rw70B3XVUwjPSbSySqvBN95EQ8,11669
torch/include/torch/csrc/jit/api/object.h,sha256=bDngjRyh-jXevzFrdE-W4I6B1snfp7so7HnLWdvaqDI,4645
torch/include/torch/csrc/jit/api/module.h,sha256=j2gqeDfX-FdJastIrflE4rbq0jV9itZ-j9ZF9fNbiic,19051
torch/include/torch/csrc/api/include/torch/fft.h,sha256=kVV33sP5LyQpTw8slcmANZQzkeGsMkIMnrg0oTOqcC8,9829
torch/include/torch/csrc/api/include/torch/utils.h,sha256=ClYPe1DwC0xvZH3JdjrVytp_sjjWGjBaTfHDg19mV_s,3445
torch/include/torch/csrc/api/include/torch/version.h,sha256=0gCegS2_vIM2BeUfy1XxpXJ7W9dChjPUMrxZdARWTUE,241
torch/include/torch/csrc/api/include/torch/enum.h,sha256=oGTXCMliDqsMPRAOHkK6pv71Rljd_Tq-N2cf3pN7F1k,6011
torch/include/torch/csrc/api/include/torch/types.h,sha256=xVvPrGZfZjcNg7crLdACa_OQLbhyAGQe3ZWO89Z5HUk,2070
torch/include/torch/csrc/api/include/torch/all.h,sha256=1SS7nqiU8QWIpu_8eZneuWlA8Fsll1cuf92QbAOcs7s,465
torch/include/torch/csrc/api/include/torch/data.h,sha256=Kmhs111GxZwH-79BzETOAFrXVdXa-biOfDVy9H0PSvc,301
torch/include/torch/csrc/api/include/torch/arg.h,sha256=vi0WL2AuIVgRC_FZeb_rvWBicVsUekOvUuPqJdR1dYI,1219
torch/include/torch/csrc/api/include/torch/torch.h,sha256=VRdG_p1q4Y2gB0LtTmL_C4EpbrPQuvFVa-21l1wc-VU,154
torch/include/torch/csrc/api/include/torch/optim.h,sha256=AcmwO3-Q5kGCkKfKQhj9rN2suQECi1UYTY1-NTqadRw,236
torch/include/torch/csrc/api/include/torch/jit.h,sha256=pL77H_hUgr7jsfPN5-muLTqngQTivjqz6sEFeBD-tNk,927
torch/include/torch/csrc/api/include/torch/nn.h,sha256=Iah9Blyam2lcEKX85589p1KxupDmsbwkigjMErXYSUI,251
torch/include/torch/csrc/api/include/torch/ordered_dict.h,sha256=NmAkSXuOzXR5li0rc9UsAGh1MyAoVncSQhE94H5FSo4,16214
torch/include/torch/csrc/api/include/torch/cuda.h,sha256=1YqvRLyaUqXpKqHgxRxSutS31qlQVIoOYATUU0DlbEM,752
torch/include/torch/csrc/api/include/torch/autograd.h,sha256=dYRz1ZgLi-AHsuDUzCiCHOyqD1uDYRoSyRoHfjUSItY,105
torch/include/torch/csrc/api/include/torch/linalg.h,sha256=fylvWWZwPoXRZjyG4KT1bpszVkblE6bRuTtUJkC8Lqw,9327
torch/include/torch/csrc/api/include/torch/python.h,sha256=oH2KK28KfsHwErKBfhRnx3CRbgo8HoNT6WdM6LhtfEs,9660
torch/include/torch/csrc/api/include/torch/serialize.h,sha256=i7X-1MUVnwrJEmaQeajAHgUTBIUxNVYU8pqo4Qwu_8c,5162
torch/include/torch/csrc/api/include/torch/expanding_array.h,sha256=xdIRuaIOHu2u-1PRumDLTVMtS3ueasRdiZoyxoNVf74,6501
torch/include/torch/csrc/api/include/torch/nn/utils.h,sha256=WCbMNSev0r4C0hIKiE0SK89PEv_fXBGZA3jregGzNNE,131
torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h,sha256=xxnX5ieC6RiLP_BrWToPZQS5-8Kd-FMkxu8K5EjJtb8,3196
torch/include/torch/csrc/api/include/torch/nn/options.h,sha256=x_Xy3S3Pn067c18G0bMFRVwJwIhznnnLRZosQrkoCWU,645
torch/include/torch/csrc/api/include/torch/nn/functional.h,sha256=LSICMNwvAWhtWTEjxU71-HsSVyyj2ZuzBCexmMfZzpA,642
torch/include/torch/csrc/api/include/torch/nn/modules.h,sha256=O1CHsiX5J4dYi8HyKV76yHMUdLRAeRaydzQFjZeIDqs,1289
torch/include/torch/csrc/api/include/torch/nn/pimpl.h,sha256=GwKp6QPIWOMinoi_cOCrTzj4L_yWLaFFGT-82rh5oM0,6820
torch/include/torch/csrc/api/include/torch/nn/module.h,sha256=Ausns98e-4HiBBW7zxLW8zWRK2tnBvE5blHvGu7OsZ8,26535
torch/include/torch/csrc/api/include/torch/nn/init.h,sha256=cpdiAo4U7gsXn7LvosBk1ECKEp0e7UwwHwQmNTknNAY,4942
torch/include/torch/csrc/api/include/torch/nn/cloneable.h,sha256=wTYQ7sHajk7Z6ofqEwWHmbMi5tdQo9BmjJWbmOZ1Z2Y,4251
torch/include/torch/csrc/api/include/torch/nn/options/normalization.h,sha256=_uK3VuhsLxcd-Rdui_hEFZ5ipC0x0IRYKGOwNJfZUMo,5517
torch/include/torch/csrc/api/include/torch/nn/options/rnn.h,sha256=zQAjAbUByISSIedncHPp_uA5u3bs5dWvN_41q1mXZcY,8186
torch/include/torch/csrc/api/include/torch/nn/options/distance.h,sha256=_N05P8CC4VCbe_AFnG0KPTDFoOnhZtG9IJIK2EOfdy0,2020
torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h,sha256=gGrEAQaLgQtbdpP1N9GMgOQnyHC6bkTbfsCVKFZG64w,2797
torch/include/torch/csrc/api/include/torch/nn/options/linear.h,sha256=SDfy_IpG7WfdmpNYwq-Ymz2MQZL2ISzTpXtaeEMzIaw,2829
torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h,sha256=Xg4iWgXzcByGcwLbIWkKuGy3QQIdVQL6IM6ydWl5VaM,2319
torch/include/torch/csrc/api/include/torch/nn/options/vision.h,sha256=4Yk6SwdqSYpD678i9OnrUglyTpVGpfHFFVtbgmReOvU,1092
torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h,sha256=nw4Ag_v-xOPD8x-EWryHKMBSmKpJo4zPJ16tyJ1b3CM,2363
torch/include/torch/csrc/api/include/torch/nn/options/dropout.h,sha256=EfG5Oc19jZHRcFdumb-LpuRci3WHCi5FmRdZUScSYqM,3076
torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h,sha256=07jdrhJ0WPiQqyTJrUY25_g4dF96Y6HU5w_bRVCbY18,3829
torch/include/torch/csrc/api/include/torch/nn/options/embedding.h,sha256=IqhXrC4_uXi0_LmEx8pX8HT5ojERs9U5UWHHVckxtDI,9827
torch/include/torch/csrc/api/include/torch/nn/options/fold.h,sha256=pcVjkVh6eIPifuebLYER2YpCE7mD6PmMVVmE9SLnqfk,2995
torch/include/torch/csrc/api/include/torch/nn/options/activation.h,sha256=JcPcyrZDpQxlNjrEOAI1iZza-OA3aU2fR28IdTi6LYw,18161
torch/include/torch/csrc/api/include/torch/nn/options/transformer.h,sha256=Pm8zKQJD-zFhPKZn9i1cPfKhDCxy_OzyyvMtXOJDCH4,1843
torch/include/torch/csrc/api/include/torch/nn/options/pooling.h,sha256=yC5vz6skL7R2r7wF_OLOXrPcI_okDZfYAFik2UBZMsc,16988
torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h,sha256=M0sW45l4z-d-pQtUI6vfTFj1c73JbzzTcQxsSdbhNro,2080
torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h,sha256=Lq7OSNAzSBmsLOLJppClXiXAOecdFj3M3KJtFhUY4jQ,1073
torch/include/torch/csrc/api/include/torch/nn/options/conv.h,sha256=-m40Tl75qt_K7YnM3zQ20Dbl_xaQlrgIMTSX9036JBU,12928
torch/include/torch/csrc/api/include/torch/nn/options/padding.h,sha256=2f_nrq2y4MwpOKp2t-RTrAqMeZDjElDvNNj5cn6cYOM,5692
torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h,sha256=5ciTT6ZG6qv9kcg1nSQu4oMNszdU8dRaAxDvueqjyfI,1671
torch/include/torch/csrc/api/include/torch/nn/options/loss.h,sha256=GEoQwUjJWQfWUU7FZUBoD7CvGkUkd-Rybr-TdOw99Qw,24644
torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h,sha256=krcZCOVrlFBb-U1ps74ZGcSevH-Hc33OpYmh7u-75-A,11002
torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h,sha256=321-IJaOmlbKUs5gzLuMT92TqsmUj35JGlSbc-nrXGU,13297
torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h,sha256=80LqfHSanGYH24Bh6sKnSptPT0o4GXjs1cJyZ8xBwrM,3013
torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h,sha256=81jqVEZ_uXoVfX9z37niLgln2zpC2WF9y0h3hZ1dpHM,2427
torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h,sha256=Cfv-_PMiLMIC2FpGKh30JwaruOYgwUmx3br5W_tZPI4,6908
torch/include/torch/csrc/api/include/torch/nn/modules/utils.h,sha256=jwne6Bmv_LKP6DA3pbNEOwnVnaWLKmAtTOD1mnkAliA,1405
torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h,sha256=GtNHrxzflVc7JQ4d7XW688N_L5Oh01gz2qg04x4_JHI,12915
torch/include/torch/csrc/api/include/torch/nn/modules/distance.h,sha256=kSWlHJzq8IQnkRLrGJMIcTYO0GWXoJoo4eRFSKTflbo,3095
torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h,sha256=ncH5k8lYkSq5dph6tZQGFSEcyeWNeZ1_XHW-N3PaG_M,7667
torch/include/torch/csrc/api/include/torch/nn/modules/linear.h,sha256=qTAcESN50suYhDOcA291u7mzwXCpWbCoVLy0FI_MAXM,7429
torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h,sha256=ix2dFTNR89Afb3z5AQo8kuEvLCRhMUq0hTEwC2mtvsA,4407
torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h,sha256=TGrmgUymN1XWp_QTH4sSZfmjl53ksgy9wxd7gNUQjjk,5198
torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h,sha256=L4Bhm5qAwrm2JSeFXLt38BftG24smI7IX1OzdK3jKlo,700
torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h,sha256=dcTxWOt_eSQ4f6a5H7uI8cOe0tVzZDQqIg1JOToBQ7g,6456
torch/include/torch/csrc/api/include/torch/nn/modules/common.h,sha256=8Ke8Ygtxt0eD6srsrb0EcZ62a-2zkPqYNIEMLEF9iYc,3546
torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h,sha256=wQ08o4l6qkucmKNqqioYZdhGZ6MPHpKhmite0JGkiDM,1663
torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h,sha256=I1V8-Up6nvD7J49nDqlqBRU3Q6bZJMI0UVnH7tz4rPc,5823
torch/include/torch/csrc/api/include/torch/nn/modules/fold.h,sha256=Fn_Gfe19HxFho_wmfQNwmav4pkWtwd9Qu_JD-2Uc9_4,2847
torch/include/torch/csrc/api/include/torch/nn/modules/activation.h,sha256=VMqRd0HC2cM6SSX0Wx-t7K2FdOjreHWkXiXLqqYo4CU,29409
torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h,sha256=6SwQka8WFjQ5InbsldpEj45vjZAUaWCILCm-5o50n_0,5527
torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h,sha256=rMCi9lKul47PZN5qAaOkPt8TrYNS42-eg9b1e_P9Tck,27995
torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h,sha256=UbF5Rhzym9ksp61Zz54dxwAbbsFqBXcqUwgrV41cDFI,6486
torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h,sha256=QFCmVIg9GD867s2aVMQC9Ix4Wj5Gb3RxBGnfJghzCkY,3422
torch/include/torch/csrc/api/include/torch/nn/modules/conv.h,sha256=6S0hUGS2LGINAwjhN70SaMeJqhGAbBSv8Fakp379B4I,13619
torch/include/torch/csrc/api/include/torch/nn/modules/padding.h,sha256=PACRLX1CWmfZkuoKDgGyOmlBMittXmxP-QoFSX1OHFg,12091
torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h,sha256=Ly6Zj-RH__qHn2miEBwkDQYfWQzK4RfVROBnd_LB4BQ,3145
torch/include/torch/csrc/api/include/torch/nn/modules/loss.h,sha256=-OMAI1EkoPRyBhe4HwuZF0ELSC_woHXcfZONdepZ73g,29752
torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h,sha256=Hf23vbGDSxDerhU0XVlUVrPG8_EIDCOabjNis3oE94Y,2775
torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h,sha256=S0Ss1xJenP6vLTiMyI903KDjIWUp40Ba09PDGjclva4,3918
torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h,sha256=AY6MI7keaJpoR_QvlXQVCkK6fFTzF2TKcToiRsl7Fg4,8513
torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h,sha256=j4oYNXxQTqs_qRpMPFzp1VgOkzqTBC0pZBw1oaajXDE,8058
torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h,sha256=qBXZ2h_zJS8RetSrzqrTg6kFuljyPhf7CqcOxtgQHGk,13669
torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h,sha256=bY4lMiDJPSh39aB0fKrjAbQ-Dv-QimA2rGB9FYsiMJg,3409
torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h,sha256=Wn5dEokoz2tNQ3QKFEUApxRh20yCuYIg6rKqEzHfd9M,5614
torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h,sha256=gQl_MGpIc9yQfF-_7ECL8Ko7SIyqnJpF80LVZSRI9TE,4423
torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h,sha256=Hb35nFpEJveikbo__4_8GvKdzIgbNmDzd7uXtHqlLoc,13665
torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h,sha256=W9nwM7nPuuUeV61QQ_tmH7iNKdejnqNoUI9mx1llG-U,4743
torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h,sha256=RqhyWOTvB9EbQ9bkKQauZOlTm1WwdUusYCfCeEuRtkY,5858
torch/include/torch/csrc/api/include/torch/nn/functional/distance.h,sha256=qn9gyhS7mvmFqkhmsuTvrK_OSDqz3bNGxmv2_P06yVY,2582
torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h,sha256=LzSlArRfDEJAGTqHwgz0NbT3AoamMt3VGpbj04XzZKE,2040
torch/include/torch/csrc/api/include/torch/nn/functional/linear.h,sha256=9VXOyc85z6FIgTs8ZpEL00WlOxX2xqbG2ridzfi5b5A,804
torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h,sha256=loyNK2zDrMZr9eQeBeRR1vvgn4-HB49WoZGcVT7RPDc,1487
torch/include/torch/csrc/api/include/torch/nn/functional/vision.h,sha256=Ekf5LbmK0lZhHSTdXtj3FdQAn4jzaKiDBGRRAokHCWY,3558
torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h,sha256=MUpntdi7ZR2qrHr2ZYbTo_IY7TpCj9QBWY5BDk2FxMM,5853
torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h,sha256=NPj3urW6VInrdSp0UWoa4sWM23FjjbC7lPru2xSjVOY,8413
torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h,sha256=IxEcvAz_c4QSKjCXNaKOLrVfq-BV8vpTpeNwgF0DH3I,6350
torch/include/torch/csrc/api/include/torch/nn/functional/fold.h,sha256=JNvhtH6igjmidlFlC4Vh-5qiZIlCJea_fcWZBefwekM,2873
torch/include/torch/csrc/api/include/torch/nn/functional/activation.h,sha256=3m7F-mNmMXhk25eQVatfChsV7O-yvGaUA8iIyvzmz2k,28894
torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h,sha256=3nYVfl3V3DQoggAIBnSO237dbBHOVC7HfoQcVJZ0dcU,34392
torch/include/torch/csrc/api/include/torch/nn/functional/conv.h,sha256=zs8T_V_F5auSFayg6s1ahVMBAI-FDrDGSEAiabktpUk,7679
torch/include/torch/csrc/api/include/torch/nn/functional/padding.h,sha256=WdnKbX7kZaM-YtUlgPUBW9jufEmE4nYRhWD6i3Tp8KU,4232
torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h,sha256=9zoySfeRvhzfMPMH8DkC20vNtwIAJ6BCtp8BfvPqWBE,1362
torch/include/torch/csrc/api/include/torch/nn/functional/loss.h,sha256=vPtokXZ_cPvoX_loPPuNlaRZmhh5WNGwsUnfNsUi1Y8,31026
torch/include/torch/csrc/api/include/torch/optim/rmsprop.h,sha256=l3bsAGqCezOpxe4o26kpcutG8rPjRUYHqZeQJzkJN5c,2826
torch/include/torch/csrc/api/include/torch/optim/lbfgs.h,sha256=_cpLIk47GK7f80v5FuInmgAC1J6KOoLiD5dI7fxRKP0,3379
torch/include/torch/csrc/api/include/torch/optim/optimizer.h,sha256=vxkPvDXwCWCS4axaFApD5BBY2Jy_0h_zxgnu2Cbnx5o,6891
torch/include/torch/csrc/api/include/torch/optim/adagrad.h,sha256=IKTseUTbzZ7oDEy1dsTCC6RgQJx_ooRsAycI249FODQ,3094
torch/include/torch/csrc/api/include/torch/optim/sgd.h,sha256=eqed7KMC9vA923wXCBkLXn9_b_SOZpYyP3hIzKywfqw,2545
torch/include/torch/csrc/api/include/torch/optim/serialize.h,sha256=LW3HEI4tFLi-T-J8YvuGe5YccKrht3MgTL6XMMB-m5I,10904
torch/include/torch/csrc/api/include/torch/optim/adamw.h,sha256=A44kcK5NLrW3IAFBnOKJNISODLVSMsCS9nkDsg19-t0,2850
torch/include/torch/csrc/api/include/torch/optim/adam.h,sha256=AWoFHu73rFNPyeJqKxzoRjcFPFqTrLz2vcZ_FhnXbdE,2828
torch/include/torch/csrc/api/include/torch/serialize/archive.h,sha256=IM8xj82javqyrkZJGayTWjrst7_FKKllzucRwSMrlos,101
torch/include/torch/csrc/api/include/torch/serialize/input-archive.h,sha256=LYELSgadEroOpKcrYC53_Wz8RDv0ybzLDRC6jlxcirw,3992
torch/include/torch/csrc/api/include/torch/serialize/output-archive.h,sha256=Nw0hDKk1QkkPMfXS-n_ryZWo8_DDX_tA108zeU2o9gY,2315
torch/include/torch/csrc/api/include/torch/serialize/tensor.h,sha256=gEYAbqPp6R4AH1G7o4OuS-zVPY8osmtguUFfSSUt7jI,432
torch/include/torch/csrc/api/include/torch/detail/static.h,sha256=pUIWtGGNH8v1WLnEULDUp3nUXrEn5mlgr2VEUCvP2nQ,2200
torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h,sha256=VQq8KP4c8Z0ZtgaofhPeNwPNq0oK_7dIgJoh5wNXpw8,12357
torch/include/torch/csrc/api/include/torch/data/example.h,sha256=ia52jQZyMWDgcMwQWILP7fPLdDqnpN83mSRuzHQ35YE,1308
torch/include/torch/csrc/api/include/torch/data/dataloader_options.h,sha256=11favVQYGSXABmtx2OtLHIXDbV1tE_zEbcWnxJN3B8o,2207
torch/include/torch/csrc/api/include/torch/data/worker_exception.h,sha256=5wwUj8XNAgIBfepKIFOVzjtZ1_jf4TNXXXe-MUOIVxA,1088
torch/include/torch/csrc/api/include/torch/data/dataloader.h,sha256=YDWO1P-HEVi3z4FcazUHKXrjLWAGSQBI8xgtCHTFRp4,2010
torch/include/torch/csrc/api/include/torch/data/samplers.h,sha256=ILkgiKXJN6RyR0Fjmmv8E8LuRBIoBH_P6lUmenbf8Ho,318
torch/include/torch/csrc/api/include/torch/data/datasets.h,sha256=Q3_zlkvTD7BOp09o0vpPhI9r_1ABb_6n5CunXPS8ZCU,289
torch/include/torch/csrc/api/include/torch/data/transforms.h,sha256=TvF9SJpmwR6rCQJvCvO4T5egw3AsiQsCCoOXs_0UTrA,222
torch/include/torch/csrc/api/include/torch/data/iterator.h,sha256=GbjJ5AIKE6Ownf6AzUMWYv3qyWwCGr-VwqNqNjAnxX4,5284
torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h,sha256=lFpifxoT_hx91eB-sgwuyUb_hF6hga5NEZdJIU0maMI,1241
torch/include/torch/csrc/api/include/torch/data/datasets/shared.h,sha256=3sWsIjprurANfiujsA-nXYSaUjDb4J-6SC1fqfeAWtY,2640
torch/include/torch/csrc/api/include/torch/data/datasets/map.h,sha256=oZlnRYIYtOC0Eoq1sE2WKxFw4WS-goApcYdkBQTaFJU,4102
torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h,sha256=DE_pMo7uTMhDpUvpEgXqQE4d0qvzmaBx3Lni6dXYB-E,18991
torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h,sha256=03rttE-DR5ZLkL6IZ_j-gfdMBsnj1QkoV5Burnv8JdI,2296
torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h,sha256=iwc95QjuG-qua9WDXr-UVvlJcL5yxaon8VjSS3_Gj9E,954
torch/include/torch/csrc/api/include/torch/data/datasets/base.h,sha256=1MRpNHwB32W7AlTN_sX3cHXn8XftFRn6_tBCJQHcOiI,3255
torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h,sha256=Ezx7V5a0DzbKFYaB-qONu5KE4CrMC6MddrluCXNkEzA,2626
torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h,sha256=2J559kRYE9WzS4oyjK1v8qF40g07IrPdEdux-VL-a7U,4469
torch/include/torch/csrc/api/include/torch/data/detail/queue.h,sha256=sC_Z5JwLzcudmuDj2s5U9f39dkcdjkwfElWje6sSYyw,2486
torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h,sha256=Kv3GGowexuP96q9NMdRD8VOPvAWq1V3vkc_c_SiUdjM,1709
torch/include/torch/csrc/api/include/torch/data/transforms/stack.h,sha256=-PJSj11bWeg0mja_pATfo56qqrMcrHxvKO_qEZXaRQY,1424
torch/include/torch/csrc/api/include/torch/data/transforms/collate.h,sha256=WmDBU1eC-t1-s0j8FQioTkdq1mwXoO_bqpB1lQo3rQI,1113
torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h,sha256=4tljCroOatQ7agYVu_p7e6TYzLWoFhF1VvcStqw29z0,2464
torch/include/torch/csrc/api/include/torch/data/transforms/base.h,sha256=ASbt1QfCjbbr1Y0UlhbxJMe2fB-aRUiQknSgnhSc52E,1629
torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h,sha256=2IEB-0zPluMkbgyL5Irq4FTLq1x3QnE7SGXK3rEs1iA,1268
torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h,sha256=DmgFBt9i1djclYlnURV2MxxrJBxvgKVUTUILa09BGvQ,414
torch/include/torch/csrc/api/include/torch/data/samplers/stream.h,sha256=pBZN9_xTdYaqwxjxIb4UtXaWkX_3Mbz1kZoyKmbPk8s,2047
torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h,sha256=zMbmEQOXN8qBV-vpmg1uef5vzSQb2ctRlvEJwrw6gd0,3739
torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h,sha256=Xziths-YjwF_GZ48kRC2woI-Mq3T5FnPaqb_rN1Dd7A,707
torch/include/torch/csrc/api/include/torch/data/samplers/random.h,sha256=Bb6_c-QTOI8eKQex91Hr5k-Yb4rgW8yuVQKyKwgjn6g,1545
torch/include/torch/csrc/api/include/torch/data/samplers/base.h,sha256=wU8Ayi_nkKrLESsnSN7t2wqkVxoJ8tPFwoemhs2Uz2g,1244
torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h,sha256=gUAloMj3UoDegDvfQ5uZT6od1heB_Wqm_FS2VEvdBkc,2728
torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h,sha256=hRm3WQZrYCsRrvVWGVltCYQHVRHf8pCXkJ2Sy6zzICI,2342
torch/include/torch/csrc/api/include/torch/data/dataloader/base.h,sha256=UqdmkePkOhQNTbxDCCXNaeZbeAYrXtkzwNDoA-EPB08,8412
torch/include/ATen/Formatting.h,sha256=u9t8xVe-WAEXzWvHqFJ93K566ukel9wsbLhSEUeEqyc,34
torch/include/ATen/CPUFunctions.h,sha256=U0JWykGwU1f9hRmH2rzqDDXhsvHIYofesmt10eNQ4v0,124325
torch/include/ATen/MetaFunctions.h,sha256=qGW-8NxNZhNGZmOeEpigGQHABzf1VR65gcm1Ule2j9A,1131
torch/include/ATen/Utils.h,sha256=HwWgTeui6CiRK2dpWG-2Moek0RPB4uw3f7-S1HvVr_c,6446
torch/include/ATen/CUDAGeneratorImpl.h,sha256=MMet2Nj0lAZxIz4v9AHDH-dVvSlhNgG2pZqA6hV_8a8,5535
torch/include/ATen/TensorOptions.h,sha256=0YGOolxkjb6QzEmeZ6xuo0bamoTct5GvrHAtPoMH-fU,49
torch/include/ATen/TensorUtils.h,sha256=qVyDt9lZYj7-60DUjwswNh4wJpkJwIKst3a0XKDo71M,5436
torch/include/ATen/MemoryOverlap.h,sha256=CSwZs-vk0Qdyu1Ih82gJW_6mc9JkpHk86CgWnrSFbxk,1117
torch/include/ATen/InitialTensorOptions.h,sha256=zbVnz7ovJlkE9izEhUuO9xlGTMiHMIbCCEGpvAX92Xs,445
torch/include/ATen/Version.h,sha256=bK9ApCvoHrqRC1880pdN0LHF6b3sRmtxe6d-G7nEy1M,340
torch/include/ATen/DLConvertor.h,sha256=p1vdhfx99hdgXX0CneuPN59lKKdpnNMtwyiw3jZgBx4,576
torch/include/ATen/Device.h,sha256=woU2HH6ul-aOLsILb-xFTxGbtA7mGnaMaJzzB-CrlBI,42
torch/include/ATen/VmapMode.h,sha256=xbniwjr-FqI90J4cMlgKDNo2fWZtPGZfXNKmNlxxuoA,952
torch/include/ATen/BatchedFallback.h,sha256=VOQbZpUDg_Pz5Y_CxChZfh23zcWCo9XeOctF8_MMQpw,965
torch/include/ATen/dlpack.h,sha256=9Q28aEpXwUOtQ8pO_5vPHdrZYz2J5Qs5ITPIubzWAeI,3621
torch/include/ATen/Config.h,sha256=gdFz8DXI_y8flstmVFiwxcpaNXEqvVcdIzxsCoJ_FDs,610
torch/include/ATen/SparseTensorUtils.h,sha256=zIu1EpjfsWedw8y14177sdF0z-KiaLkyyMyf-nXqLoA,4220
torch/include/ATen/Backtrace.h,sha256=iQwNYKFPK-sNKn5Ngwy2vzkESKV84wJSLIQD1O7GGxg,46
torch/include/ATen/TracerMode.h,sha256=SNvIGtWgqzj1_k4aldW1ggJMKOm8qcGewcvPcmL5evY,5513
torch/include/ATen/Backend.h,sha256=uKLWU9cBX4ldaPyhSACkAAe1BDHaJFKAS8yVHexzEuo,43
torch/include/ATen/RegistrationDeclarations.h,sha256=az7tvbOjqLZYBjp7V0mcf96eEvwrBbWpceQ9LVfvWDs,471585
torch/include/ATen/PTThreadPool.h,sha256=gHMHIMix3rXb0qfUj9aCuIPPxuzSbhNtckyiac6iORg,394
torch/include/ATen/OpaqueTensorImpl.h,sha256=a9-ElAa1T6Ix-BoqOaBvSex4nSfdvZ3pt1B9RAVikk0,6159
torch/include/ATen/LegacyTHFunctionsCPU.h,sha256=_qt9DibWTSYiroNuja6JZ8XSu1t3BJLuAdz5F1nEWS8,2336
torch/include/ATen/record_function.h,sha256=45sJh9ci0bNU_EcriFU4qqOrUU2rujG7NphV7HFFxR0,17892
torch/include/ATen/WrapDimUtils.h,sha256=9zWpZ8al48aimN2_hCfLjt6sfVpCzOf-kf0tT315p0Y,3172
torch/include/ATen/Context.h,sha256=LnWxfz-9Rd-XEjFRO7GrZnYswmw9wbgZcyDhT_a33Uc,11737
torch/include/ATen/div_rtn.h,sha256=IKXS4Jm0ZsNb3zOh6eGGuSb2Jqpo0ifqPtoVXBCdBmQ,205
torch/include/ATen/ExpandUtils.h,sha256=soNq4g2WEBuDSjcHjD7iVo8m0oh4Xc5xFeccnAaIsms,7129
torch/include/ATen/TypeDefault.h,sha256=NyXwix7IWODipHiEh5vf1mj16WARQ5IUNTqXPZQtMDQ,680
torch/include/ATen/CPUFixedAllocator.h,sha256=cAizcNNOwwD69qY5WFKZlzhLWXifjQerfitUkR6IJO0,817
torch/include/ATen/NamedTensor.h,sha256=DMs7TFFl5X2V_3sRIg9-qaiiC94x9s0n0SEdYf2SaHE,35
torch/include/ATen/Scalar.h,sha256=4uRhX5Y1wZouuAi4M8BriFoqJziRckfzIh1o7E3YS9k,44
torch/include/ATen/ParallelNativeTBB.h,sha256=A2R6Hwm8bJHIP_s9_c6QVlp1RidyY7bIakYqYPW-V2Y,2646
torch/include/ATen/ArrayRef.h,sha256=Oj53usfNJkz8L3fSOjmE20rpC0NUjhOVz4bmu68R28w,44
torch/include/ATen/SequenceNumber.h,sha256=06Ir3Q7RtLGcx_sJfZSA9ES8s2qoB257d07wUbngTDw,373
torch/include/ATen/MatrixRef.h,sha256=Nvlc-ngj672FnsLo7s6n6B9S2BjB3dNf614X1BEfF4s,3016
torch/include/ATen/NumericUtils.h,sha256=b4QXMVM-J_1MnsUWHmt6hvxAK4AJAVQYO2EanBou_yU,2788
torch/include/ATen/ATen.h,sha256=bJjoC2uX54rIxkg-TA7UAVahzsznOA52P_nmJ4Wb-gg,962
torch/include/ATen/TensorNames.h,sha256=DZ-xNCDRB0jZd6Ryz4iIplTiaX3ww5DT0Jn_8c8jSEg,2519
torch/include/ATen/TensorMeta.h,sha256=7tA4vJJFYv6EmC69dFwYUgL_2DB-REPYSVXhVMu8ZGE,1978
torch/include/ATen/TensorIndexing.h,sha256=k3lyrIzjwrQO2pQJV3csNLHUmbJILTXs8qM13yX-tzc,21366
torch/include/ATen/Layout.h,sha256=l9TpZf-gLtmQbbV7_dn0UFiOuV88PVS7V047YMCtM-A,42
torch/include/ATen/SparseTensorImpl.h,sha256=7CCwcjKSv2LmraHqH346kcW5eCxOuqTEHrgqkdSH1PA,12322
torch/include/ATen/WrapDimUtilsMulti.h,sha256=sqWpqV8qwiuejVcSMKQeeHmBOrizdyYBYAlNfI-5RqM,768
torch/include/ATen/TensorOperators.h,sha256=M5pKapR5xhHQfZ8N5q9qir2efi9WZ-bLzi4Eo1r3v6w,3261
torch/include/ATen/CUDAFunctions.h,sha256=DXZgXkqKFUV-STXVevgxfiXEu2oG8fc2qVk0PNtSuXU,135305
torch/include/ATen/ScalarType.h,sha256=YpUjgU8zTuDmlNt8pnUpNYjKVs-sJ-YUs4enjKJr72k,129
torch/include/ATen/cpp_custom_type_hack.h,sha256=btjQhhci1-EDYh5p7VD33Cza42AVrvmLgF75adP3Wf0,5310
torch/include/ATen/VmapTransforms.h,sha256=iwzNsf6RI7p50OQXr1wOFShGSVIutOYX2houHrs8Pm4,7655
torch/include/ATen/Storage.h,sha256=EgzD3SO1khvg7pZDcTsqoI0FFSlsZobb6FadLbAhJ5c,43
torch/include/ATen/DeviceGuard.h,sha256=tskYWs95SLVfj1gAfX5eDn7io5siBgU3Ypg0nGp7Dxk,986
torch/include/ATen/ParallelNative.h,sha256=eKdOcGNgoTNHQQeR5S85ho35Cf4pHa90prAd8sBw-go,2359
torch/include/ATen/Dispatch.h,sha256=gnY2Oz-k1UrgQmFFIPxpmINxDeBB-7GRiOLdcqBij2k,47497
torch/include/ATen/CPUGeneratorImpl.h,sha256=-20LzKyEYbkT0vbPj4z_OaHcj5E42pFe0AhwQVvdA7k,1422
torch/include/ATen/Functions.h,sha256=66psVnHVj0FqdXP3xkILmNSVqXarZgtYu5si_I8LxZU,262248
torch/include/ATen/ParallelOpenMP.h,sha256=44jmrVCVAGTQpBGA5W37lMzpwrFSAffbxSVrWchbb0I,2895
torch/include/ATen/BatchedTensorImpl.h,sha256=e4NlXFbOQbCz48cVti6hRzegbNb6RRmgUZV2hCVhQkE,5395
torch/include/ATen/CPUApplyUtils.h,sha256=Tu2RjWvwTnlCBYfY0mrj9dHD1o8g6WdieAiabP4DHK0,12582
torch/include/ATen/ThreadLocalState.h,sha256=WUlQgi9sZj6V80cAJnNXMwAuCbSwnM13MOvaw8EN5BU,3073
torch/include/ATen/ScalarOps.h,sha256=dYZuYUWdw1eOt0XMG-ymQEPPG3hZ_EXxI6hyu4Q1obU,1938
torch/include/ATen/NativeFunctions.h,sha256=edSJ5bJqNeRQpofFdljCIDzXCDMnulmN6Gy-RAfkLYg,271609
torch/include/ATen/DynamicLibrary.h,sha256=SMy-i7GRf4kNdkQK_MKI4C8UICNMU-9WYqKNNo1OUmE,369
torch/include/ATen/TensorGeometry.h,sha256=SZT73EioPniEmQcRDYxGCyFMf1QXzqBllnkZ3pg8Sz8,1855
torch/include/ATen/TensorIterator.h,sha256=uATfnI2B0Pfq1Wd6jZVYJNHGQDckxyyD3BRYxKt9S2c,22928
torch/include/ATen/NamedTensorUtils.h,sha256=d1i4u3I5V2BtaMIJcW7APRLFV_dHvpaR0K13Fv8b59k,5707
torch/include/ATen/Dimname.h,sha256=ODvWq78JatYnrvxjZb8taxy-nOBOC6VE0sZnSpxiwFs,31
torch/include/ATen/autocast_mode.h,sha256=EzpMk-BkUT0E4PTf-qavdJ-3v0RJ1jCiw01OOioHa7g,4490
torch/include/ATen/Parallel.h,sha256=8v2hPJL7aO5oJ8hCQTO4SM8eHZyd4BQNKU8u7zbj7Ns,4591
torch/include/ATen/DimVector.h,sha256=hDtEu7TLm-rmIlopY3DudvGcP7BopSyWYAoce6SRrKM,46
torch/include/ATen/InferSize.h,sha256=e5VjPMWnha5EqcySpELVEfpewlj6aL0KLGhJRf3ZBcY,1705
torch/include/ATen/SmallVector.h,sha256=b0zRaURtL0paOFhxGgB4flh3HczjPSX6gQ_GQzOOtHs,47
torch/include/ATen/Tensor.h,sha256=S-9l-hNuMOEFXfQrWfGJAlXextJoVVAAWYQSGsBhhlg,48
torch/include/ATen/Generator.h,sha256=KBeu-DIZBnbAWTvlDIPNIA7PMY3wFODHbAR0l-kToLc,46
torch/include/ATen/AccumulateType.h,sha256=U1rEwfVqcv-VY5L2aTPKoJonSvxJynDFVazrfACkhzI,2588
torch/include/ATen/TensorAccessor.h,sha256=0oPU5QjZ5q_5qJ54cCEa18Zas4Z_IMTVAT09j39idII,51
torch/include/ATen/LegacyTHFunctionsCUDA.h,sha256=X2GTgHPiHpvhjw_J1svY01gXl78OdymZtuUKnwKDPQY,8872
torch/include/ATen/core/Dict_inl.h,sha256=r79c_vr2-L0TosFzs1hrwl46agHfP6O4c2BOrYxFKYw,8093
torch/include/ATen/core/Formatting.h,sha256=2PJQol831L9N4yu9OxzDpQzu3kR7YTMPZjAnlyuw1MI,741
torch/include/ATen/core/TensorBody.h,sha256=t57JRIPnaDU4quFFqmzC62OkUfuKwCA8XJffoQ4Jf8I,68352
torch/include/ATen/core/jit_type_base.h,sha256=2eU2-Yky_giYcV4qSlxF_1f6V8BjuZR5v4M8BETvOE0,6463
torch/include/ATen/core/typeid.h,sha256=kuExuy1u5A34ATIuUUgf_aPWYvKKXQwfE0OLtHs8hhM,29
torch/include/ATen/core/rref_interface.h,sha256=CYV4Gw16eeneEp85Chhc7DCs98J2pR_74rtisgtWAqY,1144
torch/include/ATen/core/Range.h,sha256=v_kVnAoeiHq0eRTodrFqDV8nudjBOX1mwhdeiDrJRt4,418
torch/include/ATen/core/interned_strings_class.h,sha256=FC8P60QM5KC8A1bDbnWalLq0Z1P3Wy0FqdZsw6YKJT8,809
torch/include/ATen/core/operator_name.h,sha256=Fk-XgBp1uADNkYOPFtGNSY29WhzL6ywCyBm36uHDPl8,2719
torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h,sha256=mOcUQj1cEg07Na3gbhDv2NTRX_DEPTVt5un1XNs7qlE,795
torch/include/ATen/core/Backtrace.h,sha256=Vi1LiTrJX5BY0ADLxoJkwC7H27H30tTPM89xZ04A5GU,59
torch/include/ATen/core/TransformationHelper.h,sha256=0Plwh_aL_z1pCE19oz-2sM5n2ZDlf_MjpmdLxTW2ZJ4,5799
torch/include/ATen/core/blob.h,sha256=l8GE7hD7A7QXyveKg7OS--HG81ybaLKmzexuIylH5D4,5353
torch/include/ATen/core/function_schema.h,sha256=aobdsLiZ2Om0DcrU6XytHXUtJBgKVofxZ2b5IYTLJcE,13138
torch/include/ATen/core/MT19937RNGEngine.h,sha256=Frwp4NEBSulZ3EO5bGlked301r0MhuOKFF4uQlDwpmQ,6447
torch/include/ATen/core/aten_interned_strings.h,sha256=FGliZUHdPRPv_3YiLPhcRfVb7FBFpxBLGJs-wx732_w,24991
torch/include/ATen/core/LegacyTypeDispatch.h,sha256=5UcfzYUTgsAT_6PdiH3mzidN_L6dUgcNQgDyeX8t5jY,2466
torch/include/ATen/core/function_schema_inl.h,sha256=gxKBwMDsyhFRTG6YAnEX8fAeSmYlT5WeSIbjnxD2l-o,8605
torch/include/ATen/core/qualified_name.h,sha256=nXw1UCjiSrGL6k3wM21Oxtv5w-o3N2ugIlHXm5Bx_ds,4344
torch/include/ATen/core/UndefinedTensorImpl.h,sha256=gC73nEbVD9sYFdMxGPovAHH997995eRiDYXO3S1y5Uo,42
torch/include/ATen/core/NamedTensor.h,sha256=cdXTJE-192m0NDEsyTQdFIYOWB1vB78FUwpN3MOklwQ,4988
torch/include/ATen/core/Scalar.h,sha256=6_8TdN11df5vabWQCR30zjSFTLQbwnsUMTWfzKaM_sM,29
torch/include/ATen/core/functional.h,sha256=sbPeH2KDNZ2JnaexgBlYvLg4ZV4GJrs3XY8HLov3Rbw,1460
torch/include/ATen/core/DeprecatedTypeProperties.h,sha256=EMjI1GpkpdfTrQfm5QfYXoF4FDD1f7VN7T7zpj4ZAmM,3649
torch/include/ATen/core/interned_strings.h,sha256=tipbvj7yKCIZNVt2Pkaquk4YCVogTNxVPY3-2FRyQGc,21880
torch/include/ATen/core/List.h,sha256=ytg9VYadU06nzWbmZkkzwTQHGWlFxLfron1D64TeSVQ,15590
torch/include/ATen/core/ATenOpList.h,sha256=aTsrO4WWb4s2HIBiOyha28F9RXajxvzINAGv3eQ5AEs,246
torch/include/ATen/core/Dict.h,sha256=TuWuMH-ln2XYYxWv4--h8yjN_u6WHOqJpNBGWitHr4s,13195
torch/include/ATen/core/grad_mode.h,sha256=JIe0YL0uhcM9ns50c6oLQohvvcipGYA9LMC0fftndmU,737
torch/include/ATen/core/DistributionsHelper.h,sha256=-K4WuP2WkCYeUtwSNVVa7aMTJ2mK5YRaBGZul7xkGbs,12594
torch/include/ATen/core/Macros.h,sha256=1k9nrN62_VHTu86s50xS93BaLqHZ5mK09MVLtyBs7Pw,44
torch/include/ATen/core/VariableHooksInterface.h,sha256=dq0xudCJy2AEc9iBK2hGWRVvXALeYcqM50_yxj3AJ58,2649
torch/include/ATen/core/ScalarType.h,sha256=o6WgbV6_nD4gO6tVJo7Hx_NQfeXC-iB3TFXbfRusbBI,33
torch/include/ATen/core/Array.h,sha256=fwLorc-LLJNcRVQgHfg3ZTkedlVr0Nf2yyRJAv846Dw,768
torch/include/ATen/core/stack.h,sha256=OPT30Eb4M2WRv_ukeOLlkS9OVwmxcnm3R9FSNoT_oDY,5102
torch/include/ATen/core/ATenGeneral.h,sha256=dcnASl2yEZMXGYbsBQkH1W-KLBoQTSSoEfujumNJHjM,45
torch/include/ATen/core/UnsafeFromTH.h,sha256=XHDf9pxhbdMjXjS0A_idwX_0kgVALnnjk3xQdC2F1zg,695
torch/include/ATen/core/QuantizerBase.h,sha256=c0x29ASl5ti9Y3_3dn1E4uQOA1SCOzNcKacqdWzMAGQ,2329
torch/include/ATen/core/alias_info.h,sha256=b5qJIuk10qKBRMB400GPQ_ShHSXG4GgkVLjMQlWBGq0,2986
torch/include/ATen/core/List_inl.h,sha256=NcjXNuSLNWgGevI4DwM6mfcQocXmPWadHP5uEoJlswk,11166
torch/include/ATen/core/jit_type.h,sha256=bOMe76deu2X94UzO9q5UQkk5_XKTwcbfCb0k1nBS6Fg,74222
torch/include/ATen/core/ivalue.h,sha256=uCinqhcSPSa1v49HHz-RGXnwshLUIjo6FKPPiSscUJY,37222
torch/include/ATen/core/Dimname.h,sha256=HGLiZgKYzwg8Y_dKNNK-M3617kaqDYhycIR0yC2Z3t0,1188
torch/include/ATen/core/Vitals.h,sha256=Z80mKrHXb0Nufo5M1lyVHY2vvtFPQYerbwI8uKAKLaA,1107
torch/include/ATen/core/builtin_function.h,sha256=8cow0GCyUxQeFAwHLk4oGgluwFTa_9_8lb7qHQqz1H4,3640
torch/include/ATen/core/DimVector.h,sha256=C6BC0hZ_Br8deZ9-2K4xJipMU7cy19BZjPUO9bNXDag,247
torch/include/ATen/core/Reduction.h,sha256=xGUWvO-GEE0IzsMSoCDZksIh5A0Sf1ZjQBGyBBRvqXc,461
torch/include/ATen/core/Tensor.h,sha256=S-9l-hNuMOEFXfQrWfGJAlXextJoVVAAWYQSGsBhhlg,48
torch/include/ATen/core/function.h,sha256=Bxq7l0HlPJcLS5SYXji02LbED8L6bELdTx_3_Dzdi4I,2145
torch/include/ATen/core/Generator.h,sha256=ZL1qY24_IvOZsnoYDOzlVcrl-lUlXchKXlbvuZqEfik,4936
torch/include/ATen/core/PhiloxRNGEngine.h,sha256=sJ9B74oVmMNZyy4azFEyzyZOWCEuFOGdhB-T239Xl0k,6503
torch/include/ATen/core/TensorAccessor.h,sha256=9NQMerJifJjbo7jNU6LfdRtJM5tdjnj2GSd05v1OV4o,8813
torch/include/ATen/core/ivalue_inl.h,sha256=072g6ie4yBl9wZwo8syjSSdyOQH4K7IIWhLSepRmM9A,47327
torch/include/ATen/core/Variadic.h,sha256=Ju7MthlHsSBKyfz48-LA-_vs5yi1k0652DwwGxmzEKE,2257
torch/include/ATen/core/op_registration/op_whitelist.h,sha256=qSCBeT2TRXWmj_Rx1mDeW7lg4GNV5GWN7CDEOFobwCo,4057
torch/include/ATen/core/op_registration/hacky_wrapper_for_legacy_signatures.h,sha256=lKZE4jo2HZ3ShzC4RMRz8ygQBYSH3jukv57GLigAW8Q,16580
torch/include/ATen/core/op_registration/op_registration.h,sha256=N_IliE8xFZvgUgYdnoCjNvyW4hHm-v0GbL48s3MF4YI,28323
torch/include/ATen/core/op_registration/infer_schema.h,sha256=22zqWqrHrRKtACbDGUdK5KgMA3KbN-bsOgrIFcnGuvg,6610
torch/include/ATen/core/dispatch/OperatorOptions.h,sha256=Kzc_qB8w3bMoyojv5RuhPcPaSRd64V_etw_n4blnHIQ,923
torch/include/ATen/core/dispatch/RegistrationHandleRAII.h,sha256=e-Mj1D2ucxcOFm_VvYWsNuRxasim7WyrfkXvlfSTIhY,858
torch/include/ATen/core/dispatch/ObservedOperators.h,sha256=ojVakG1b2JwmA46yRnGde3JLnO1ovPUJM_Pf5CxFCO8,214
torch/include/ATen/core/dispatch/DispatchKeyExtractor.h,sha256=CGfbwEegAOQ-NdrtvgfndfrOxt8gQ37DWSQlm5GOAKk,7915
torch/include/ATen/core/dispatch/Dispatcher.h,sha256=vbfLTPONDHXfFI3s7UBDqfADr8bXxZf2VZIUx_Sa9M0,20027
torch/include/ATen/core/dispatch/CppSignature.h,sha256=zvL-wM7B_ygUTc2A0ULy34nRXucM0PM5DTt4jDZqaVE,2049
torch/include/ATen/core/dispatch/OperatorEntry.h,sha256=FLcdRbWdmVtsPwxEjbNbA5vR26Y9wmnm3Tt_n1r8gDU,10487
torch/include/ATen/core/boxing/KernelFunction.h,sha256=XJXx4MoVmFTGYIxee1L92Pv5sAiab5Z1gEqnuydrXWI,7895
torch/include/ATen/core/boxing/KernelFunction_impl.h,sha256=27iJzaVrh2YoVo1wttRl3kUyG-BYS6ugVBY3UVu4IAU,8099
torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h,sha256=v5X2iWN2kGu-lSl4QIdlOHi05TIkR2Jlv57FrpD60mQ,20757
torch/include/ATen/core/boxing/impl/boxing.h,sha256=BuaBXlNkjRHYNOUyALD9_W9N5XwI0gsWtWhHZ97L5D0,13246
torch/include/ATen/core/boxing/impl/test_helpers.h,sha256=Sxz9WGv87wIoaIrc6nRGmxOr6Hs6GRlv30um3HU6Qt0,3996
torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h,sha256=AvWOZxgDAqErgFwkc1s2wVMod8j4lBv5H4aW6XIQZBk,1313
torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h,sha256=nIpD8XFNKEIJdR6RgF9d3-N0uOSBgqKYIzBw6P0iBVs,1454
torch/include/ATen/native/CompositeRandomAccessor.h,sha256=VvKaR1A6ar70uRKUWAx6k3sgjDd-AY4VenULKhiDH34,888
torch/include/ATen/native/TensorTransformations.h,sha256=_W8vf7Zf39HHIQWFFluEnygqq6024Vf5eYClv50aqi0,2101
torch/include/ATen/native/ComplexHelper.h,sha256=XHaB6kvKgMw7tQmADIVHoJSZCYNHzBPWdigK1jIj7z0,3198
torch/include/ATen/native/ConvUtils.h,sha256=K1zLbvt56jzivrzzIxlA-UeTb08HDWQQ1IVohV1PyRo,3711
torch/include/ATen/native/Repeat.h,sha256=V5K6D0FPb_uzkx5EYk8g-_tW17UbtbJRnXjYwsALTxM,1028
torch/include/ATen/native/layer_norm.h,sha256=VVh1-oZOJ1geB_tadq1Mk7oJ17eazMpz1Hus3KX5lDY,2833
torch/include/ATen/native/GridSampler.h,sha256=5G7wb0gmkcmdevktldCAD6Jgfig6px7Z5EP6ggGMUOk,10525
torch/include/ATen/native/TriangularOpsUtils.h,sha256=XRKLX9BKRvhYYVezlJ9o6dWSBAm39wwgSe4CZktRmXQ,2000
torch/include/ATen/native/UnfoldBackward.h,sha256=UgJnRfwWdvgp8w8yV_79DzQ_TBC-zDVAlzpea4eDu-A,5387
torch/include/ATen/native/batch_norm.h,sha256=C5jpcoNWioIhtI0-svdGscGvktRZAKGJyYQl8CWqD2U,359
torch/include/ATen/native/Unfold3d.h,sha256=WLDYYlEkh6Wm0tvk32XEmNXoj9IhR9aG1YwHxToXTEc,852
torch/include/ATen/native/Fill.h,sha256=CzEvSC0C5GUxmqy8geeButVST7w3KD2QAfXdWl6ltjE,323
torch/include/ATen/native/LinearAlgebra.h,sha256=1CcPik4yem27BZ5b93O3zO08jgEsK6JWZ72xpXUAiKI,319
torch/include/ATen/native/RNN.h,sha256=mRjyKxHehbJFOykWdy8MbNkEa7cf5qhtUmodIACQK8A,2467
torch/include/ATen/native/Pool.h,sha256=uP7QRsBv12JpBGvdOYKSIftvFyfFbN3enl6RTI1Bp0o,8978
torch/include/ATen/native/Cross.h,sha256=LZHjLMBZLAng2Rojk3QJMDib1FdRPHsRU6afpdoKY2I,263
torch/include/ATen/native/im2col.h,sha256=WBrwv5bPD0UGphz4FsXvcuXBNNBry0xBgtceA6wxwMU,2877
torch/include/ATen/native/DispatchStub.h,sha256=_IGQtAZF6XcLoW8bEhKRF5_lDJtE1fxCZzL2mXDPdJQ,7394
torch/include/ATen/native/Unfold2d.h,sha256=KLLBie9wKKi0zvpQPCMiAuOh3eVVcj_KNBxwYNKiZ8k,551
torch/include/ATen/native/Distance.h,sha256=07xkqCU8pqszHp8sh9ACvSeC6Ajn8TsZGIrnLDIJjN4,732
torch/include/ATen/native/FunctionOfAMatrixUtils.h,sha256=NYYt5KHDVYrO8w7qBfaXefZmj64WoCoY6ckP19rJimA,436
torch/include/ATen/native/Distributions.h,sha256=xOnGGIkLZDSSaDZOnUGF8-ijJPoytYWyTp6Or8t8wts,21865
torch/include/ATen/native/MaxPooling.h,sha256=HdGPEAIDvu9ta2pB60n3HnKHdCDgYNYEm1lA5hW8Vp8,1234
torch/include/ATen/native/DilatedConvolutionUtils.h,sha256=FcDj0MnE2m5QSwo5YarHIa_P37uiadPN0EbztkC5IKE,6416
torch/include/ATen/native/ForeachUtils.h,sha256=UucMT6w38oMNZ7gXPqLYUMHpQFKefKJgdtZ0UWG1IXM,7318
torch/include/ATen/native/SobolEngineOpsUtils.h,sha256=fiwaMfb_YcG7hj9743wXgvTZ0wgmldkFX9UIu8Oj47Y,1723
torch/include/ATen/native/ReduceAllOps.h,sha256=6TWMYPXSkgWV_fAxLE3HOIE_tIRQdBhONaefdJVoH58,434
torch/include/ATen/native/Lerp.h,sha256=OS07FJwkZiYWJsJZhUvYz9Anvc3xypvY10aD9q4nxdU,546
torch/include/ATen/native/ReduceOps.h,sha256=4pir9veq6uUGz9InRciZH3AUBPsUZJCjO1pk6ge_xe8,1251
torch/include/ATen/native/TensorAdvancedIndexing.h,sha256=SMaibxbndTVvxg4fNxaFODq5I4f8qTPQgeVyLiubW80,2582
torch/include/ATen/native/UnaryOps.h,sha256=nWHWjEBtmn3tL7xgjQLkSknqr1PBjzH0eLxWpwFrfWc,4086
torch/include/ATen/native/SortingUtils.h,sha256=vMHvJNpSo1m1Q6XymUREcZ2pQ7Sd_AhRPvxjLen4EkY,3528
torch/include/ATen/native/StridedRandomAccessor.h,sha256=Rt-mVFb10NL5bJfslT83KheJkGDBwqkwUy5Ushm6z5M,6852
torch/include/ATen/native/IndexingUtils.h,sha256=cg0latYgSqC_3WP79VHe4ZpIkIgEBBi23MGQRrC_k0g,5069
torch/include/ATen/native/UpSample.h,sha256=bNdmvvShw8R_gGdj15AnDY29N3xluL2qUQqNop8c2g0,11700
torch/include/ATen/native/ResizeCommon.h,sha256=19J1oGqcIn6negc7R_tZh-BljMC13sP56lIEcigC4tk,1309
torch/include/ATen/native/SharedReduceOps.h,sha256=iWnt1OUT1nsk7gSX8SJNNw_sUAgVtDfiW72OKGx5l3o,14844
torch/include/ATen/native/Resize.h,sha256=A20AYSxVnMQwTMubS_rHdjZNfKg2bQpSlfwBhpWz6EY,5750
torch/include/ATen/native/SpectralOpsUtils.h,sha256=7D4Jps8oXN22ME1jKJQPfhClXX8NGCIxCyw6xQ47vtU,3146
torch/include/ATen/native/Sorting.h,sha256=ax2ciV4J9lMXqMozsXRt0uIUazxXIqzHhqfpIznmWLY,382
torch/include/ATen/native/BucketizationUtils.h,sha256=rWqceXt7sZ9ZS2iUVxSK5m92I0Edrz21vp2WiNeawYI,4241
torch/include/ATen/native/vol2col.h,sha256=xJXOkXrefXyng8vfdofCT69DaGf9TjJpnrLErb7EbSI,3681
torch/include/ATen/native/LossMulti.h,sha256=mlCWzjXvnSAMrN0GSYmoaAF0mBBNI-EKBUe2hlS2Nrg,2179
torch/include/ATen/native/TensorDimApply.h,sha256=jE1r3yhavC8Uws3b_mJ3ABeL4O2KA7iJFaVqBixdCZ4,1832
torch/include/ATen/native/AdaptivePooling.h,sha256=Mg88oQw3uqjp0WRUWD4np9vA8Ms-MUieMX61oMO3sVM,746
torch/include/ATen/native/group_norm.h,sha256=CkLxXPI0wx0JfF_kP8ElKIsMGhSuDXySi1c8hMWLKoA,896
torch/include/ATen/native/Activation.h,sha256=WE_Or6gR2_uJMbwmkSFxY2jMWRtSqWp3bCatyO0p1I8,2521
torch/include/ATen/native/Math.h,sha256=JLeokLIDeQSIYZPb7OgaTosc53ZrnFB2TVIgh9i2E1w,46774
torch/include/ATen/native/ScatterGatherChecks.h,sha256=8CEd3RUQ977SzIzZoFVoRvS2lqxqCA4NMJc4FFv__BE,4016
torch/include/ATen/native/CPUBlas.h,sha256=29J-8fhQof0sS-GT61fLaiQjmUUJcLl7Emo-IEKpqBw,2590
torch/include/ATen/native/CompositeRandomAccessorCommon.h,sha256=zI4Yzrj3mSocs85JBoK1E_xLAWJ_FL-siPhlGmKDw9s,6655
torch/include/ATen/native/BatchLinearAlgebra.h,sha256=_BR7zUNFdVfsjSoMyNz4kwwSbxWjodV25u_4A9BM50c,4034
torch/include/ATen/native/DistributionTemplates.h,sha256=5RWcEzqbDfFFb4xGWthbJVY9mvCJtLFdQEgY3JSUD3k,18187
torch/include/ATen/native/TensorIterator.h,sha256=Q7J_N0bs9xO5NSiLO74hLIE5NUIcmr2FmkSS_eLf1GI,46
torch/include/ATen/native/ReduceOpsUtils.h,sha256=uVGgUVddJ78mYHxcgC_kJcfxTRQ538bDhsUjba-yFKI,8302
torch/include/ATen/native/TensorFactories.h,sha256=gYzzC9ZebWzIYJm2fMh4ez45l7skxtCAqSBVnqZlcTw,3343
torch/include/ATen/native/PointwiseOps.h,sha256=KHTN5OGWovbz9u7Z34Pz0mz72aqsSQQ0ylMwkS_4O3M,576
torch/include/ATen/native/BinaryOps.h,sha256=OtOs-0-iHdGtEhLQM6SA1WuhYMxCaCSxjm99dJwHR4s,3569
torch/include/ATen/native/Pow.h,sha256=d6Ke0HRkb6_A7QIJBkdF4w4mtSZpyhMY4fY7y6ButF4,1680
torch/include/ATen/native/im2col_shape_check.h,sha256=JRooVulIFAN-NsHBEFFB1wZPe-pqObezIqWA8tfsBDE,6181
torch/include/ATen/native/TensorCompare.h,sha256=S9BN-Cfu56dBURgrr5YWCLZUfzYpkAnkDbdb9HxzUrY,699
torch/include/ATen/native/LinearAlgebraUtils.h,sha256=8Pf_OEWxr5-fTszMV4wH9NpLb6t6XAl92JAlLURLpso,14434
torch/include/ATen/native/TypeProperties.h,sha256=3xRifo6OzEt6C4OL51IrhDtH8peG22IZz66psiKSmF4,496
torch/include/ATen/native/Copy.h,sha256=K-1_9HxHGu04WrbvBcSNp_WoWFM1oeftS4nkV5TFpyQ,278
torch/include/ATen/native/TensorIteratorDynamicCasting.h,sha256=iHYKiHuZI1YpFS8Oa-Bv_bJfzY_t_WPW3X9tacKAaxo,2107
torch/include/ATen/native/cpu/IsContiguous.h,sha256=R2CcDCHnwfk7m8Yx3_uvh3IACwvjbICUND1isqN2cFo,2414
torch/include/ATen/native/cpu/zmath.h,sha256=AFaQjr2ynCtlswZYKWx0VSiPLK4YJ1tBmgXKvQIHdGs,6480
torch/include/ATen/native/cpu/utils.h,sha256=SLQ0f08DXd9SDo7uaERq0TjPLfIIT4kKYx5oGa9Wpio,690
torch/include/ATen/native/cpu/GridSamplerKernel.h,sha256=OjLHVT3c7heCP8GuPfO76zo5rCH_ni_QvdhwZYr40MQ,592
torch/include/ATen/native/cpu/Intrinsics.h,sha256=Wb3_syiw1pcSafKzSTvrsYFxA9H5BnNhkfTd9Tnc9Js,1212
torch/include/ATen/native/cpu/SoftmaxKernel.h,sha256=JCGP7gmF_VNGsU0eYIk2Y-UtBqSgucr1AH971O_e6_M,485
torch/include/ATen/native/cpu/AtomicAddFloat.h,sha256=eyQEGtXfu9DRmALIgDfsO3iR5xxJacDvqmNjfJCeBvs,750
torch/include/ATen/native/cpu/Reduce.h,sha256=RxyjdwN5EU17O7hojO6OeGBKwjYymNB_XzyvKTZkowM,10793
torch/include/ATen/native/cpu/CatKernel.h,sha256=9_tP-nYuzGLOkgsbln5DvvDnbliH11ysParweob5AQE,252
torch/include/ATen/native/cpu/StackKernel.h,sha256=bpWqeO6inaShv2nFk8h6S-7DgxXSxFLuBj-AoNLcoEk,315
torch/include/ATen/native/cpu/DepthwiseConvKernel.h,sha256=bNm-Qf_lOmJzDSA9m2Yi6sVJjDgABrZGqwhW3vZ1sCY,447
torch/include/ATen/native/cpu/DistributionTemplates.h,sha256=x5XqhQo7zIFAGekqboenBEDh2X9nSJOWoMI0aIdku8g,13852
torch/include/ATen/native/cpu/avx_mathfun.h,sha256=Q_hD_Kz9w0oRp9czb5oZeirMpSh7cZca-wnDgm4keUY,22957
torch/include/ATen/native/cpu/Loops.h,sha256=2s5mpRx8ksqvzbOYi-JupfeUfB6TsodYWglCEfCMXKU,11351
torch/include/ATen/native/cuda/CompositeRandomAccessor.h,sha256=XtnBCyL15XJYIjUN0B2DQLkeXDqFsn5BPd6U-jj1-TM,929
torch/include/ATen/native/cuda/Normalization.cuh,sha256=V8ATF0Q25Dk5PDXvYKM61Y73nPP5V2PVrcfjG306_Z0,42902
torch/include/ATen/native/cuda/SortingRadixSelect.cuh,sha256=k2nK88R81SWH0f5ctP_QXtAUt-TCn-dcgQLaOYMTUZA,11910
torch/include/ATen/native/cuda/MiscUtils.h,sha256=i0AOLZZTyKlGQi1OAt_bBHaha9QrfqcNO6XW98KnPQo,3399
torch/include/ATen/native/cuda/block_reduce.cuh,sha256=4wumU7G843k81YgRtmfqR0v7ghF1MDTgIkzj20THKFI,865
torch/include/ATen/native/cuda/MemoryAccess.cuh,sha256=kp3lPF0E3AeGKE4ROsB0f7LWCMgnfFjYQnWuLOgMCdY,11544
torch/include/ATen/native/cuda/Resize.cuh,sha256=ENLCXE0PTx2DLl3e-rptKi9Ga_74OEIzpyyUKYf9N50,1917
torch/include/ATen/native/cuda/CuFFTPlanCache.h,sha256=k6_VfzVEzDNAW5qbqm1TGLDSEiX_CLRP1Xxhz6KRJ0c,19094
torch/include/ATen/native/cuda/im2col.cuh,sha256=qnpDzHMpvhPDtmDa_-fX1r7vWQGOF3dzNKiHecioJcU,6586
torch/include/ATen/native/cuda/DeviceSqrt.cuh,sha256=5Vtz_rXvxLc5x6j1xhtjEAmhmY46KWQazzazPK--7qc,585
torch/include/ATen/native/cuda/UpSample.cuh,sha256=R6bB17hgPXsjfbF62oBlmvjhF8VATwrsw36yU2kfYrE,11218
torch/include/ATen/native/cuda/vol2col.cuh,sha256=VXIN5tIz-ggFE0YxqkTRCClHWmpZgZ-7SxQAl-CoRbs,8297
torch/include/ATen/native/cuda/Math.cuh,sha256=b6P34AqWop-ZM7kUyHc3RffFxeuT8cp7xg2NUxEUj_0,8800
torch/include/ATen/native/cuda/CuFFTUtils.h,sha256=k_d3rL0Mr5NFBdowNmlPfrA0fIr7S5g2iQjkyJxpf5U,1892
torch/include/ATen/native/cuda/SortingCommon.cuh,sha256=LKAsdwf35BsKIcAefKa1P74UDFPbdPaa1_AA3MrhKQM,6488
torch/include/ATen/native/cuda/MultiTensorApply.cuh,sha256=BNa23u0ML3tPkiccJCasG0dk1eiLcEmchUIayC2ArmA,7034
torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh,sha256=n2qtjnGHHTkEh02GQlXRcPZTCV2xEJaiATk4gjOBOiM,883
torch/include/ATen/native/cuda/BatchLinearAlgebraLib.h,sha256=8Plp6M0vXJyVeuWuYPpbtHNqdL8Ut-X4yJ5obPiVSFw,980
torch/include/ATen/native/cuda/ROCmLoops.cuh,sha256=qBqFZLrZaXtBpzgMRjSUpnwbiMhvWT8JPsiV3rOkdrc,13526
torch/include/ATen/native/cuda/KernelUtils.cuh,sha256=BBhVM9DCnC8wDbRnxpS_R361NjaO77E8WuKgfIOVqx0,2020
torch/include/ATen/native/cuda/ForeachFunctors.cuh,sha256=wy6m2e69Pnicmievw-oWT6SL-7XHifXqgHfpyYs0OwE,17226
torch/include/ATen/native/cuda/Loops.cuh,sha256=HeFUOQ0XfTPRvQtDRzX2Kbr15TW91Dvo-C_A8CIbS7Y,8370
torch/include/ATen/native/cuda/CUDALoops.cuh,sha256=svsrwabui7qZjSyAi5KBBu0XvlfkHZtT5gQaTan5zck,7598
torch/include/ATen/native/cuda/DistributionTemplates.h,sha256=VuCx8HFRoaekscdhasZPcwOSwBS3EPcL525nfE1Txjk,27674
torch/include/ATen/native/cuda/GridSampler.cuh,sha256=gIDg7NzdgJnN93NTz9oAnKYVUFJiidzpehA7WDq-U4w,10797
torch/include/ATen/native/cuda/PersistentSoftmax.cuh,sha256=-USMURr-LAqrzVheKQOiMee6tUmYlXUKDoqOopuvbY0,14620
torch/include/ATen/native/cuda/Reduce.cuh,sha256=5AolND3cYbmMtxulSTT9OXUbruP1TVeYdTC-wyYUkvU,38536
torch/include/ATen/native/cuda/LaunchUtils.h,sha256=r0PwPRvBDaSUHEQm3CmFMKYM9LxatU3Zr3SYGoNf8bs,306
torch/include/ATen/native/quantized/affine_quantizer.h,sha256=ZE-J7sfdn2PzoG1JW5eQ1L-XQtR_O_MlBzbtOdgp1DU,3448
torch/include/ATen/native/quantized/fake_quant_affine.h,sha256=dMsZtlK489bUV7sMjH6gvukcCIgoBBuri61OdEC3onU,1453
torch/include/ATen/native/quantized/affine_quantizer_base.h,sha256=hJx9Tb2pvO0u4Vx0DMrtUrzcQ1N8FmQ8yUyT8YvO4KM,1444
torch/include/ATen/native/quantized/Copy.h,sha256=r57zC08mYzPKMKmS7mwbnqeRW4rfQBSXUmRwPMvxFuQ,173
torch/include/ATen/native/quantized/cpu/fbgemm_utils.h,sha256=HT8238gr45sML3SOfU4NcuVg83a-SzcVVukzik7jWTE,10489
torch/include/ATen/native/quantized/cpu/quantized_ops.h,sha256=Kjpv05P5ci7ApPfPqmEs8_7LxuRO4pD1KS52VT_v07A,5790
torch/include/ATen/native/quantized/cpu/embedding_packed_params.h,sha256=CWlZJrpOi3fZDcSEuM8ldqB9ubdK71YhhNzEsquPodY,888
torch/include/ATen/native/quantized/cpu/packed_params.h,sha256=UJtL2TnaoaCHaaV8veMKkZ936m-csBA8BwQZ3gp0Fys,829
torch/include/ATen/native/quantized/cpu/conv_packed_params.h,sha256=MFQreweF8mrzBhQhIjapiqGKbeQN_3t3p-CrWwcaToY,791
torch/include/ATen/native/quantized/cpu/qnnpack_utils.h,sha256=4O5dRqkGeDYnTyLTCQnioxhi4YxYb_uWZpWETj9mQBc,15078
torch/include/ATen/native/quantized/cpu/init_qnnpack.h,sha256=ZiH_VsIdp7AG6DNL49ia3_grOjjiQHM3iTKk7TKXuTw,146
torch/include/ATen/native/quantized/cpu/conv_serialization.h,sha256=2uIjd0bNwdtEJ7wsb2l281eYz1EB3SCLjhF-Jhf5gNQ,8012
torch/include/ATen/native/quantized/cpu/qembeddingbag.h,sha256=PZ54bLKceNqe-fU8cuMRw61ikgNA3aKLRsYpzc9ED_Q,894
torch/include/ATen/native/quantized/cpu/quant_utils.h,sha256=DwcQhCZJCbGz0n4EMOlMVPdFINsZVb3ZjM36aSg2UzY,6643
torch/include/ATen/cpu/FlushDenormal.h,sha256=aKtxcj9HdsP-1KXLlbtyYCwpQpwoI_AjcqANFkLQGtY,549
torch/include/ATen/cpu/vml.h,sha256=Cfg_4urFQnyVN52iutUnsO78HQhooyBkcQUri58YHlQ,9168
torch/include/ATen/cpu/vec256/vec256_bfloat16.h,sha256=m3NgGA9JxC3HwCJ5YRgrTYrh3P46GLl_lUm8XmPdsPM,23366
torch/include/ATen/cpu/vec256/vec256_float_neon.h,sha256=zx6quAb99Bux5t52S9vQBBzKLHh7s50FJdxoEK_CXV4,22497
torch/include/ATen/cpu/vec256/missing_vst1_neon.h,sha256=1bgQ5STR5_8v-jf2MPYWv9b-q8Px_aUKcI_BKN18BTs,282
torch/include/ATen/cpu/vec256/vec256_qint.h,sha256=jnZiPEE3xv-ESiKHrTH3NCrAkl8_534FGm2_jOEbeLc,51293
torch/include/ATen/cpu/vec256/intrinsics.h,sha256=QEWa-Rhd-3ezF1-A_7DFawDe1wF5xDwwIciMIPXmxlw,1925
torch/include/ATen/cpu/vec256/functional.h,sha256=RaoYCQ4GOqjSIbs9dQVAHvdTnvXFS3d3hfBi_uWe3sI,8108
torch/include/ATen/cpu/vec256/vec256_complex_float.h,sha256=S2LuFZjm_30tLG00H1YdfdDgTguZwXtJek4BS8nfaak,19851
torch/include/ATen/cpu/vec256/vec256_double.h,sha256=w5EQNawXSBjOR5WslbhQvytBzT0bPxCIMYGiIiioUhk,12760
torch/include/ATen/cpu/vec256/vec256_base.h,sha256=dOXoDAPfY7Osi9PLFi_yeg3s8ihdq6D_ei2jpVN8Nek,31558
torch/include/ATen/cpu/vec256/vec256_float.h,sha256=R2syRcGd6dY_OlXYZNPGYw-GyDrCzHrLNtf20GyCEgM,12901
torch/include/ATen/cpu/vec256/missing_vld1_neon.h,sha256=iUZEGw4kcopg806wRIVP-R5Z8YWxRpUTqXauRcy8yKY,13559
torch/include/ATen/cpu/vec256/vec256.h,sha256=ybzkuRky22I3mhl6aZM5tZE1qur0J2OWl7Wjw4bCN28,9117
torch/include/ATen/cpu/vec256/vec256_int.h,sha256=g9uU06VoHt-kvz2l6XGZ7mVRIur2GhRk4nfKm0nvIkg,40389
torch/include/ATen/cpu/vec256/vec256_complex_double.h,sha256=Ggi6dY2uh97Ll9eXuHETX6Fpbb81vcTXLX1C4KN3E_U,17839
torch/include/ATen/cuda/CUDADevice.h,sha256=c-tQv59ZX5yc_RvFKP51a8iQptfAJVvYZ30lp1yAGTA,352
torch/include/ATen/cuda/CUDAFuture.h,sha256=gvCYq8GLaR8mnrW_6K5_iVXn-fPPH_NHMm55c1ovmY0,5436
torch/include/ATen/cuda/CUDAUtils.h,sha256=DleIsrnelPcFawfmcmxi3fQ_Yl0TPVwP-Abj66EPjkk,428
torch/include/ATen/cuda/CUDABlas.h,sha256=zifTgHTIrKaPbm_R8xgvf4uZTGQUJHPRwYyYj51-UbE,6723
torch/include/ATen/cuda/CUDAConfig.h,sha256=ek2tpMXVM7PeX0Pq7bR1AziTpmGChnNNRITLsABIMIc,440
torch/include/ATen/cuda/PinnedMemoryAllocator.h,sha256=R2AUg-P4dYV5uugsEL-OHhI7fcwQk9f3wedq5byqTIU,167
torch/include/ATen/cuda/CUDAMultiStreamGuard.h,sha256=jlGYiOgmoMK5LLPEiKoOakTdONsDmXpyhrd9TvCG6C8,1735
torch/include/ATen/cuda/DeviceUtils.cuh,sha256=javKwQ1HLhvzcLoVbfSodGZ4lyVmMTkhHFGS6857ATo,2991
torch/include/ATen/cuda/CUDAEvent.h,sha256=8rBhs3qoOK4m8hZpaiJUSIFw5iX3oPT7Usw91HjigpA,5648
torch/include/ATen/cuda/CUDAContext.h,sha256=_GH682hsvlG3d2w6-8hNjNafoM5ndPNnE2BPPMyUmRk,2249
torch/include/ATen/cuda/Exceptions.h,sha256=3y16ukpdQCWMTgncU8LT2gwG9L1-fgzQnkDYPxGggwM,7159
torch/include/ATen/cuda/CUDASolver.h,sha256=LnQp-ck9M3yOxD9aj0zyyinxMfM06Ma9K55LwLtXjsU,3127
torch/include/ATen/cuda/NumericLimits.cuh,sha256=Pucf4S3VEL-sT52Es3G9iXpX9WUXGjwR1-RvN1-6Hww,5214
torch/include/ATen/cuda/CUDATensorMethods.cuh,sha256=cyQq_CW-cqTVYG5n2yQKI552IDhMnlGZqFPurRzdUk4,270
torch/include/ATen/cuda/CUDAGraphsUtils.cuh,sha256=MkeNrodwzl8OOGUumWRJCAR1Mg_g_vmu0cScNQrvuMc,3401
torch/include/ATen/cuda/CUDAGraph.h,sha256=7PnlHdIUv0MoAwKnryRJcqudXuvtbdH--npeIfRQ4cs,881
torch/include/ATen/cuda/CUDAApplyUtils.cuh,sha256=Nivst2TSiaPUtMhaSdr-NaoRJNwq9ZwGqdhNWZgILPA,21287
torch/include/ATen/cuda/ATenCUDAGeneral.h,sha256=hzsZuf9MUxBbRSSpsefJgyxO9RnmYcnfdKYOKFEfIwE,190
torch/include/ATen/cuda/detail/TensorInfo.cuh,sha256=3bo-19mlKWya5oW7_2-Sh53xu0NP9jeaAVxGCBkxVe8,3229
torch/include/ATen/cuda/detail/CUDAHooks.h,sha256=oF3muekiq2W3Q4d-354k3oZe8i4D0Ap2inl1mbk8A2I,1925
torch/include/ATen/cuda/detail/KernelUtils.h,sha256=Ra42dc-UWEIxdyWMAb_jdPrbMQCUIHni_7QvqmhL0NI,1552
torch/include/ATen/cuda/detail/LazyNVRTC.h,sha256=bQBMdKmgQIG0-t9ay0S8f-Q_n6khfsaoiNHSynTl0wk,210
torch/include/ATen/cuda/detail/DeviceThreadHandles.h,sha256=FMRcpAJlcAJ-gs60gSHWGJDdw2sC58pn8XggRNniu8Y,7022
torch/include/ATen/cuda/detail/OffsetCalculator.cuh,sha256=BLYJBKtCol4J5bvrY4yIRpZmCB5LXdOgIUHrWMvDgOo,3350
torch/include/ATen/cuda/detail/IndexUtils.cuh,sha256=P044ixbkK5BFmv_J3fbGwbA7Z6qBGmjzvwYa8NfEeAc,695
torch/include/ATen/quantized/QTensorImpl.h,sha256=4fbmEgV0dR4r6pa_7HnF5KsCT6nRjjqG2hZi_F4Vrwc,3761
torch/include/ATen/quantized/Quantizer.h,sha256=5Rn7ISpn647AVoFX6pRkhZ120EeOqgLCIwCDKhByOMw,7433
torch/include/ATen/detail/CPUGuardImpl.h,sha256=XYliYLpbyLSR3yWh-jOkxJkiTmnSefhi70_qC0dWIHU,1635
torch/include/ATen/detail/CUDAHooksInterface.h,sha256=UmYzJ6wJ4heMoYBhkXYb1qOb_QRhTwsawFnYqEVFDUE,6887
torch/include/ATen/detail/FunctionTraits.h,sha256=Q30moAQXtQVhvKyz_5mfPavsie5FtbqdRBjvwvjSK8U,2324
torch/include/ATen/detail/HIPHooksInterface.h,sha256=GGXQnqTiznNRdr_Irswj-aPeNGJ8lnNWHcftTRjvmgY,2011
torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h,sha256=zxyh3pyzeYr_-iqkx_4wJtqKARa6M6ivKI84780G-ig,870
torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h,sha256=FTKYqUZc9yD92kdMxV5Snd8CBzQGB-kcqlmM3ZRspi4,11835
torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h,sha256=FpVq1Ql4dlHg6azUYednrZ9FM_rzMENUuG_CNcHNpEs,505
torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h,sha256=URiWLbWvwYsU7iLBDn0LWbjEB4GkOTHyILRC8vcS33c,3795
torch/include/ATen/cudnn/Handles.h,sha256=y6xfj3ZCKYNVzohfiFqsqeNSeXCpHSVqtB7a5WLhF3g,44
torch/include/ATen/cudnn/Utils.h,sha256=ORoneOi6KlyFxtHeDAhRn4CjSpj2kTFMlUUWFp5N8LQ,591
torch/include/ATen/cudnn/Types.h,sha256=vyaGyS9Fbez77D-02fpsAcsj7P82KXOJmJBQoaETECU,322
torch/include/ATen/cudnn/Descriptors.h,sha256=3oZLOKQJ5ID3_wHBnxaQk5yUbQrllvM7Y1adJiYl2TU,11766
torch/include/ATen/cudnn/Exceptions.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/include/ATen/cudnn/Handle.h,sha256=TuMzX-lyr4_V_qekHi39lJeLx-Gm0V4XDET-Qxo1z7k,205
torch/include/ATen/cudnn/cudnn-wrapper.h,sha256=7t0FKslPmdb_WR-9fxKxUmD-xPXaaaAnGc-7SEqE8Pk,494
torch/include/c10/core/QEngine.h,sha256=b15n0cydRTDP5swRO36tWgzpKY13V46sMjCjhxEn39Y,881
torch/include/c10/core/TensorOptions.h,sha256=QC6SFaWNfS6OaGcIpD3B1bXw_wm2mSJQ4mwBUlX2qjs,25752
torch/include/c10/core/Device.h,sha256=XCob3-jhrX0zD-vBDkjde_D8xeITtOmWqAtq2I4E76s,4938
torch/include/c10/core/CPUAllocator.h,sha256=kwymtOL8CB23-lNSiYPZoQ6chF4zlNF7Bt9Hbtq3yek,2244
torch/include/c10/core/DefaultDtype.h,sha256=4JjkSNVqpqLjVZUm3Lb9UHDdTTUKk4gEdsW-cDBDmEk,394
torch/include/c10/core/DefaultTensorOptions.h,sha256=wQV0m2KSiurqaJfoulA4bzMm_iuKZhGjQItb_YExwVU,1120
torch/include/c10/core/Event.h,sha256=SI9I54b-t_GYqITcM1oPsAW-ETDX83jmbCS6iGWeRl4,3987
torch/include/c10/core/Backend.h,sha256=v_u-ziO9jyYBcgmVwC-dijwryQsVlKbJAqJ8LPLMMTM,10642
torch/include/c10/core/CompileTimeFunctionPointer.h,sha256=0tVdvMcVbhDp08Sc6SuPV5RjpYOiArQf3rWOLJWxGgs,1543
torch/include/c10/core/WrapDimMinimal.h,sha256=501E555KKbpTC9vgpkt1ZUbcEcj-QtI1rUDEBLQ5hdM,675
torch/include/c10/core/QScheme.h,sha256=TdashUczUso81n7o9e6wjSjwlYzxMwB-Nw-7nsF1dro,1555
torch/include/c10/core/Stream.h,sha256=Lyky-G-7ERNMYUrbXeiYYLkqMLB6DdjStrPMVQYEsfI,6284
torch/include/c10/core/UndefinedTensorImpl.h,sha256=UzXOMGcTJkHGkFfjqF6hd_X9aU5Ui0m5L2ekBzgnfxQ,895
torch/include/c10/core/Scalar.h,sha256=4parHF579hoHHvpsyhpocbACr19fkUCix7t3DOXHMT4,5773
torch/include/c10/core/thread_pool.h,sha256=lhTZhFVQj78rPkFjvxCUttcZpXThesBcxiinQ5O4xHk,2986
torch/include/c10/core/CopyBytes.h,sha256=wrL03lmNPavQpp9VLLrc-0xrrQwZsfqaUjKIx81G5CM,1229
torch/include/c10/core/StreamGuard.h,sha256=rFWZc5fyNi-xuB2qER_tHltJVLwpHnrU7fzU4s63UTQ,5424
torch/include/c10/core/Layout.h,sha256=j0uKJk8soklWPNl9ayGKYPVtazgNHkiZpNt5Oi-UqB8,972
torch/include/c10/core/GeneratorImpl.h,sha256=X2r0cVkXHk0la4I9h077S6QH2jV21ELZnyF8ZHGbBA0,3710
torch/include/c10/core/DispatchKeySet.h,sha256=rdHXLIGCa2u24qEc3dH198WDCEfhEkbyp2wpH7hv6pk,10065
torch/include/c10/core/Allocator.h,sha256=t1kXXb0KNBkO4HxKN5ZGKB5Zx1JDvlHA0HDhk_Rkv2k,8390
torch/include/c10/core/TensorImpl.h,sha256=G7FX95wexNQ_bIuHoznyxR5i0m7vYozbW58PCBkJTas,71178
torch/include/c10/core/ScalarType.h,sha256=kLi8k8cb5UDZ612ARd0VWSP5KELRpmjnTECDbUgu_Lo,16714
torch/include/c10/core/Storage.h,sha256=GK5qG4J9Co0HN3TFIm5tuNf7YI8q0k5XXGTb_nHKP1Y,4001
torch/include/c10/core/DeviceType.h,sha256=qJcfqWkbes-oekjGGsbza3cxP4brhybijUiC6RNmwxY,2595
torch/include/c10/core/DeviceGuard.h,sha256=qSee07GCyapS0mmPm8Ff1lcvi6sqXLcp-TF06TtZhNw,7484
torch/include/c10/core/StorageImpl.h,sha256=ECheZ8117ucOeBNvt0sI9prQgb-U8G91o0gXntjQ-Q0,4079
torch/include/c10/core/MemoryFormat.h,sha256=zMCtEGXqm0glL_t-ANotRpE_KiUCobhv3tmp5RRlRY8,8460
torch/include/c10/core/DispatchKey.h,sha256=r-py1D--ji_MwPPoG7MjsvZ22Zx0RSvcHCbt7wGqjWk,16478
torch/include/c10/core/ScalarTypeToTypeMeta.h,sha256=B2W5YMPktSTw_es5yE5jhs4J8PnVeDjsebX0qlx47Wc,1360
torch/include/c10/core/impl/InlineStreamGuard.h,sha256=66EmQnHl4FbLyfP3vOXAZyiDAJZCA-keqsDpcoCEwYs,7576
torch/include/c10/core/impl/SizesAndStrides.h,sha256=t1hn10I39hIQKYyVD09BhTYw92yswpt6nt0Ga17Y5SY,7665
torch/include/c10/core/impl/InlineDeviceGuard.h,sha256=W_E5Jv65TrB-iuBIAIWyx2FPCVceh30CGrPD32Ta2tQ,15245
torch/include/c10/core/impl/LocalDispatchKeySet.h,sha256=7OxgVPTdofdMIhei8ZF5tdhe6sALB-nYVUxUiZr9vUE,4870
torch/include/c10/core/impl/VirtualGuardImpl.h,sha256=MgpWR7iYiFi165G8AGnPhWz9UtnFGxCpQAI__0SCxds,1991
torch/include/c10/core/impl/InlineEvent.h,sha256=xPXj5nUtfjOs-S3WlsoXElrTliWwuvLnp-R2uYs2iks,2818
torch/include/c10/core/impl/DeviceGuardImplInterface.h,sha256=YTEa3eYK5GvAm4CB_hTyqi0QJnh6KyjAAYWJlLjOo-8,8979
torch/include/c10/core/impl/FakeGuardImpl.h,sha256=4Kwfd2Zj8qV4Y5JZPWz4SdZ_fwhvpRG-tdGhh0yUvaA,3194
torch/include/c10/util/Type.h,sha256=vLDguCVKvxuL8vjvRLvr5a7OHTIpzQDFkrvEfIV3Q9o,607
torch/include/c10/util/order_preserving_flat_hash_map.h,sha256=lO62FbpdEKiMEIyQ-OSJHnxs5EaZd6odkUPCDfk30XA,65700
torch/include/c10/util/reverse_iterator.h,sha256=tJf7lQAHYT1Y-A3PJLzJgY2LG6FHVmO_lfxatqcsdVk,8803
torch/include/c10/util/quint4x2.h,sha256=IcnilR7uLx7ap3fD9mQodTEDLqSMojA2eXGD1mKXFnQ,363
torch/include/c10/util/Half.h,sha256=7y77g0o6EMa9iz20JXz8Ais4ihdTN24VgM7d70LUWWk,20417
torch/include/c10/util/flat_hash_map.h,sha256=HVSr4Eh_-WFvvB7qkIIVeZqrgVzgHHoaVdZZgVVeuTU,61697
torch/include/c10/util/llvmMathExtras.h,sha256=MCHmD_t8qOSMgOuXwhMoVVuAzCUKENmwQc8koBx9w1E,30000
torch/include/c10/util/math_compat.h,sha256=eZGkfpNqFLM-4Wj7R2508kY2E7nqqvBadjAuC24Qpwg,7015
torch/include/c10/util/Bitset.h,sha256=NhHRdq5E9hLYfeVaNgx-cdL9iRN9MxwiMjVWcsJZQy0,3491
torch/include/c10/util/typeid.h,sha256=rguc7HNdIM8gtKlw5sml1rWsDt77VgXGXU01Ru0fuCY,17917
torch/include/c10/util/intrusive_ptr.h,sha256=61rvmQYC9ZPmEAYHzrH839Jvm039t3GF8Vlb3FvLx1A,31548
torch/include/c10/util/string_utils.h,sha256=gv3MF4QldJtPnPS2d_yCgPotLX22PG5OZYdagIbHn24,3991
torch/include/c10/util/win32-headers.h,sha256=r3pB8MPl0O70kpUuPlPW3QcNWg1KB5Z2jAi_H0df8wM,780
torch/include/c10/util/AlignOf.h,sha256=w4sF48oNMj-oe5wXItpsj3NGYIAyXM1ilhOwhFxX0sw,4835
torch/include/c10/util/numa.h,sha256=aEgHw1CUWV2sbSZJGGV7g6BqV7TP9vlBInzaxXYfCKA,696
torch/include/c10/util/qint32.h,sha256=iyBUhux_GEJ8J92GhOPnukFSHXEp_vCM_ImIZTR1_Gg,319
torch/include/c10/util/Half-inl.h,sha256=IIU_Fa_dmFKdVz9XqRldpFPAUFdc95kqBu5wa2FvrSo,8425
torch/include/c10/util/TypeTraits.h,sha256=-xn79DZDo_7PrBVBt2apsQJ24OfEhhijQT5wqW-hRNs,5203
torch/include/c10/util/FunctionRef.h,sha256=Rwvs1ZZAP2PSy8fgPVAzC2yLwy_KqdIxiAM-1X3Iqdo,2316
torch/include/c10/util/Backtrace.h,sha256=sbWyABFklbXFHnKCXJd9qTDJwZlw0RaJWCimSGxh4Uo,364
torch/include/c10/util/BFloat16-inl.h,sha256=NlHc9RykX3M5y3YOwXB_3gEKoW9b_y-sc9AUR3HMlLU,8917
torch/include/c10/util/in_place.h,sha256=Trmaz7csPFFvL8IBbGFTYgXzk_rgtx8bkyjjrs-f3XU,344
torch/include/c10/util/ConstexprCrc.h,sha256=jNVgnTxUmMnITUDNisB90VRAsxun6UQkge3Mz1E807k,6585
torch/include/c10/util/IdWrapper.h,sha256=fZz9djflyuX2-Q2lQwFT3dF10EABtvMuFNWrOyEiLjQ,2340
torch/include/c10/util/Flags.h,sha256=9i4ZBLAYnjur8PRG3A-L5XQnssqgekat2BFrGZRGw9Q,10143
torch/include/c10/util/quint8.h,sha256=nEiBXDtefPX4IlYbmn_mxC7Ec9QaPZ-d0nIO1BbsGh0,320
torch/include/c10/util/StringUtil.h,sha256=wTYSRagNBvwsL2XVZo6BOkD-h4C2McwEzo54wBVEXnc,4185
torch/include/c10/util/Logging.h,sha256=V-1Jaox2nwt75lJyyOHYH_hAuC7n5CAGVXxOMkPLFMY,13236
torch/include/c10/util/MathConstants.h,sha256=kNFPBvQkxmg8sEiC5sJr-aETu2Gf-KuRXRn-dGVyyDk,846
torch/include/c10/util/Registry.h,sha256=l5tLWoarnU6nMH0RdsGDXj5CZBfTZZEUSjzqdTNYJxI,11908
torch/include/c10/util/Optional.h,sha256=mo1W9j6rruEJmtUFoFq9XK091vdZMsoAn_lsSsNZIbI,33081
torch/include/c10/util/tempfile.h,sha256=BkPMdvWCBaIcH4UQLvCtjY3PSbGS_gTIYXM-CacOT2U,3325
torch/include/c10/util/ArrayRef.h,sha256=3Bh12Yd9QBBq-fyx0lZyiHVuI4T_3_aux5Q9mq4h7F4,8184
torch/include/c10/util/thread_name.h,sha256=mnZYxkwFcjqj9d0Kk2HIjtSEYuuFi9rtmW10DUwHyEo,148
torch/include/c10/util/Unicode.h,sha256=qkPtYGLcGGVsO6O8DPlBgYYGDcpQpfuLOvbncNZdXLE,278
torch/include/c10/util/TypeCast.h,sha256=2MuoCwZ64vJN29s4NSV6pwC4F_JmayTuGXvugvS45Yw,7031
torch/include/c10/util/sparse_bitset.h,sha256=K-114zsj55v86B8STjgxP-6mt42--dIwdv7ipJlAX44,27529
torch/include/c10/util/BFloat16.h,sha256=MFTqwInBrsmF4n8wZdBUwv5Gbv_0r0MZr36bQ301jxM,2422
torch/include/c10/util/TypeList.h,sha256=OpPQ57pE2UHVh87ljv8GWZBJcCozSwLEOZ6nkIbeXwA,14894
torch/include/c10/util/TypeIndex.h,sha256=T1qd0xh-pUJ2nQdDb9A0agCzICPTRMuLBb9f4RyWx4Q,5290
torch/include/c10/util/Array.h,sha256=OvjQRNosf90f4gl8A_OKvoD03zXU12ytIlfH6c-W5Dk,10888
torch/include/c10/util/logging_is_google_glog.h,sha256=3D7qCnBhlZGPyz7mqAmWREPNQSCemYdrStcyaffZqbo,2031
torch/include/c10/util/Metaprogramming.h,sha256=sjde3hPoKPwz3RhkWMjX7o5gDpucCLF-RjrRUcUz1eQ,13738
torch/include/c10/util/either.h,sha256=5e923uB7lwk4eMhCuSKuSPtmxLtvjxmuxGPdAwE99Ho,6436
torch/include/c10/util/BFloat16-math.h,sha256=BvVDe5V8TxUd2LiNsTkT0h8p8x_D_xQQFe52W-6_kM4,2512
torch/include/c10/util/Deprecated.h,sha256=i6auOdqYF-9BXcrHHNf3EXXp-umCZHOykrllVjibItg,3819
torch/include/c10/util/irange.h,sha256=-GSU3lTRRGANiX4Apwbdjwcb4C4d6Pvsfsp-frIv8qw,2232
torch/include/c10/util/LeftRight.h,sha256=Mq4hhoEYosw2QVgodYEX9UHdVv1_Mx7GORxhoJZvKXs,5573
torch/include/c10/util/qint8.h,sha256=bc5SknZDfO9_2Ez-QlgP6CVXkFhkFIc8pV6vqx4y4vo,472
torch/include/c10/util/complex_math.h,sha256=J_l6XSBiwFvX11zD0yKZAWy-jqtsCb5vDw9UjcHxl0I,9935
torch/include/c10/util/logging_is_not_google_glog.h,sha256=WA4Cq7u8b8YBtBWBbJaLqLcNSYHDTY9BKuqL2lL22pE,8286
torch/include/c10/util/Exception.h,sha256=bkWV7PxWWE9OchrndYmTGeXU6OzS_Mrm2_IADLAVL5c,20178
torch/include/c10/util/UniqueVoidPtr.h,sha256=8Rkdw53bCfXXqzcM0myZy7ZPVhY3Ro4kMebdl5z0e9s,4098
torch/include/c10/util/ThreadLocalDebugInfo.h,sha256=huAr4dm-z-tOj08BaTCMNZ1hJ7P5HgRnoW2KE5okHbM,2589
torch/include/c10/util/accumulate.h,sha256=F3S9bKtsCoaFnCQFIMZAfYbXjjafyavwsz7S3PjoFmo,3931
torch/include/c10/util/C++17.h,sha256=J9Jo3b3x_cW76smkYY9gJVIg-9rStnOaA5EX8-G-7Iw,12838
torch/include/c10/util/SmallVector.h,sha256=DG7EfiwirOei2h6ZZN347hnW_Z4SvkAId2U-GegNrok,33867
torch/include/c10/util/hash.h,sha256=n_Ol6jCH962Z1ah0uIeYy60nVSdyGcftZVHTetbbcW4,4904
torch/include/c10/util/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56
torch/include/c10/util/complex.h,sha256=axq2XNVBRwi3GPMS-FFzpS9oz7N-uobtdndSXOxYGn4,17255
torch/include/c10/util/string_view.h,sha256=ih3HRPdBadCncpCFzIc_U9TWi0J4U75iL4zqwSJZZrU,20484
torch/include/c10/util/variant.h,sha256=HKtjgjeHVw8CJX08x9uY1A3PO2KFekMt6aQrX2mZTco,104840
torch/include/c10/util/complex_utils.h,sha256=GbG8sJAoMxZiDeL579fFUQlnjwqlU0IPGrtNeMSAXOM,921
torch/include/c10/cuda/CUDAMathCompat.h,sha256=1DSsdFFipRU0hqkvqK_u8oQsIJ5HZ4xcu5DW08-6TSQ,3068
torch/include/c10/cuda/CUDAStream.h,sha256=rAPU5EVZPNv8-QhD-Nqw3fj8h8CPjQtORiT6fWhvJAI,8557
torch/include/c10/cuda/CUDAGuard.h,sha256=pPLowmW3Itfc7YnzQhQ_SXtvTGzur0IPmJSu8arwe18,10096
torch/include/c10/cuda/CUDAMacros.h,sha256=xQ84F9kPrl-iBnl_gAp_axBfTUJJ-MpQ5LuFdByXSUY,983
torch/include/c10/cuda/CUDAFunctions.h,sha256=ayMOLzTiwbj_GaqIa_M5KOn2Q_IdcnbcYNr2sUlEwHU,1280
torch/include/c10/cuda/CUDAException.h,sha256=57yYXLIT215gJqgFkUZdVKR0zPFVgA7Z7Pc_07ENDUg,1634
torch/include/c10/cuda/CUDACachingAllocator.h,sha256=A-9ve5I2Hldzh04MVI4KIegTNzNjI4e-MbbLUNDT1Qw,4348
torch/include/c10/cuda/impl/CUDATest.h,sha256=dt9Gp1tDyYR-tA92S5rcv4vY6RrZY2IQQCYRfnRlOCI,168
torch/include/c10/cuda/impl/CUDAGuardImpl.h,sha256=QToZq_mdyaXJtoAQVnUKNbJNCy2ZldUcALXaMRwvk00,5099
torch/include/c10/macros/cmake_macros.h,sha256=Nq-ItkIoUZrD7a6ycSTyLTcHXiOnewscG5pxE8Afbfo,665
torch/include/c10/macros/Export.h,sha256=Ja30SN-pVaA1JrvA1BfzNfINKFZD0LtslLLsCp9t5RY,4970
torch/include/c10/macros/Macros.h,sha256=yzOXcTl6CS080kUJG_EW0rCxJ14W1PaeZ-iWowNS_w8,14563
torch/include/THCUNN/generic/THCUNN.h,sha256=20VWndlaLAV5v9saslNXUSwr0FFULt4xC9pB0hGfT0s,5340
torch/include/TH/THTensorDimApply.h,sha256=tF3BM3YRNc1J8vOdnwTKf9nBIRyil9VfcuYTw8YZDho,14873
torch/include/TH/THBlas.h,sha256=gAuxY2QWd3lw6PIDGBWVZMvxa5i7Rp-BLC01Gb_qByo,335
torch/include/TH/THGenerateQUInt8Type.h,sha256=UN_prvNfdL7DXNH_Ft32RPzi1NPqXatK68GaiAhCUbk,514
torch/include/TH/THGenerateQInt8Type.h,sha256=TQ1iRifvP5nA_Um6xuZRX-0mPse9LyvW4B8chQGxHRw,508
torch/include/TH/THGenerateComplexTypes.h,sha256=8iEzXXO1_wDz0SIdBY3Nstfvf0qNnMASj4eakCTi3BE,442
torch/include/TH/THGenerateFloatType.h,sha256=80RaD8djSm3dFriW9f884UuRhMxDerrmyHpJoxIBI_A,377
torch/include/TH/THGenerateQInt32Type.h,sha256=d3zqRe2_6tEnDrZHt4YkKmhWZ8zua8h-wQ_IerHdOXc,513
torch/include/TH/THGenerateDoubleType.h,sha256=o-NnNpS1u0cCeL-ZUO19P6uSVSGjosa_3ID1u_x7oOU,382
torch/include/TH/THGenerateShortType.h,sha256=jO2Q31ggTNFPpgT0S6nv3PXji63EjMOEphKu8hHiOJg,380
torch/include/TH/THGenerateIntTypes.h,sha256=DliiquBTsYRHU6aCqX85EnT3FmE-qAbXVBA9qWr9qE4,514
torch/include/TH/THGenerateLongType.h,sha256=YbHW5Q0HMmR1OzYyr6DBTQ1UIclh6-RU71ePJDRAmew,376
torch/include/TH/THGenerateComplexFloatType.h,sha256=6SMWEW5LPUg4WLDCu0pkYHDrG9uY41J8JxAfphJ9_jI,433
torch/include/TH/THAllocator.h,sha256=pMcxsHcfP55OWuB2k-fcfm-MDAzgcPpB3IvJmM7HfWc,3155
torch/include/TH/THGenerateCharType.h,sha256=1BLlVS0Wk2Mu9rfZ4jMRFee-ulfKlD-zzLzNuZTbDBM,375
torch/include/TH/THStorage.h,sha256=9jtqoPPsGJljo5fDSE6emmXVzsV1DRZTJzu6ht4EIY0,125
torch/include/TH/THHalf.h,sha256=b_o7PF_5RRUqP5is8bwuOdVqldPJD5UFYkDNzzJVMlM,97
torch/include/TH/THGenerateHalfType.h,sha256=A7ly6Sad2vvoKIGsOIsJq4Y_6hzhYDFII4czWHtn_Go,396
torch/include/TH/THGenerateIntType.h,sha256=Nx-E9mlJRTwSeVF0xpzHh0PCyD1b6o_739nbpmT1eFw,372
torch/include/TH/THVector.h,sha256=uNxaH0r4lkIGOh9Qi68vStsWwskhhY7JY-UiCrDrT98,544
torch/include/TH/THGeneral.h,sha256=R66shS30j9wpdBBHdNH7qKJcRxDJPNcqOa3YU7Lugzw,5739
torch/include/TH/THGenerateBoolType.h,sha256=WmT5JPhTksqyY7f34ITTUoX9rK1dJUih5kaTcOnqSq4,373
torch/include/TH/THLapack.h,sha256=ti6t4tn2bs938Cg0wkdmZ_Vg-g2-ii-KRnLHODSsEwQ,1352
torch/include/TH/THGenerateComplexDoubleType.h,sha256=rMj3GMmOixrst2EU3_nI3IUfQUKsFtSboHNHTL-vJOs,438
torch/include/TH/THGenerateBFloat16Type.h,sha256=sbR7CmykGbP16KuFgzTz5o3a642PddkM1YINQm-VTwk,427
torch/include/TH/THGenerateQTypes.h,sha256=MzVWrg74xGHw-nADNv9EdDC_JMEC7JtyfkJC1EHqvwM,480
torch/include/TH/THGenerateFloatTypes.h,sha256=BiekbVPss3kWzYLAQoD77aCeaxIRJpxoa1y1krlyJLs,420
torch/include/TH/THTensor.h,sha256=dciG5cT5zuTxOLpLvtUPHHgz4H0Xt28oRoeGpfGitUo,1121
torch/include/TH/TH.h,sha256=jVfszg_9LFbJ7J_eaIGQyxiocbNN4x83sVMdo5IILy8,288
torch/include/TH/THTensorApply.h,sha256=0bTUfVldp5HK56qD3A6fZpSwzqYo9n9YuwDx2q8aRko,14815
torch/include/TH/THStorageFunctions.hpp,sha256=0YgTFhe946lEvhmUrkCIRWGBUpg4LFBwbsrvxG92wYM,1297
torch/include/TH/THGenerateAllTypes.h,sha256=CAj_q208q827DAz_LWM-ZhRh-P3uoa1dUR4UfhAp1cU,411
torch/include/TH/THTensor.hpp,sha256=ntnTBN3jiTbiGbtXL5szldtL7dx--xM9ikw7KtgkjNI,4715
torch/include/TH/THGenerateByteType.h,sha256=4FBqVgHNqtcgJkwyKGStwwff5uGQ41YLm2jTQEiIPjA,376
torch/include/TH/THStorageFunctions.h,sha256=pOz3WLYrM_FUJ1UfSls7_xMFFSnCK1QNXV3xaVGF-80,1144
torch/include/TH/THGenerateQUInt4x2Type.h,sha256=gotEblxFSXQyYCCq6zcTBFwDHurJRMsK_jRHV-nDcfw,520
torch/include/TH/generic/THBlas.h,sha256=bLqsVrK-FcYrMvFX9f69s78A55Ie_ikEDclYZs7WSOI,387
torch/include/TH/generic/THTensorMath.h,sha256=7Qz3qYMqPx0gbyn94BvjnA7xCha_yIzoHvmg9d968bg,1665
torch/include/TH/generic/THTensorFastGetSet.hpp,sha256=0rlf03hUWOce-iRk7cbf8x-0Xr39wSfuN35Z3K_GqHc,2333
torch/include/TH/generic/THStorage.h,sha256=hkGCgnO6NuS6RdwCUpfivjv_nOsVt82AH3NEjvfRVY8,2716
torch/include/TH/generic/THTensorLapack.h,sha256=n9PnLy5lw4JlZYhfj8Gm7-nYilWW5FE8zWXiYDFKVmo,368
torch/include/TH/generic/THTensorRandom.h,sha256=P25J3KVNmSBTF92Z68Bm9c_YQtJC-tudmwDzu3S7wRI,441
torch/include/TH/generic/THVector.h,sha256=etiaE4JuDy83APcqKBtmse6hKW1CYdx_ppkRq6-s0vw,741
torch/include/TH/generic/THStorageCopy.h,sha256=kU4vbnOO4J8y85XEdSBF_GQTvv3aXeN8Ou798Ek5Qo4,1750
torch/include/TH/generic/THLapack.h,sha256=8CiaOThR58qPwJ71qpXhnrMpKDTfEXPQfilssgMz-yQ,615
torch/include/TH/generic/THTensor.h,sha256=HH1HRqOd-8N3e_5ZAAfMoNkCnEM4TaPNPZ0973rFIl8,5280
torch/include/TH/generic/THTensor.hpp,sha256=wTJRnYwQb3HBoFBKyxWFbh_6LfV113mB-4wS7C_kmdY,657
torch/include/c10d/ProcessGroup.hpp,sha256=3rZF4r08RSzs0PAK3jX3Vro_cpGSQzddm2TAEpwS2ps,9443
torch/include/c10d/Store.hpp,sha256=Io8PNCLKXThNLe4wiex63eqsvNDiYXjhAQsACzl-DRw,1270
torch/include/c10d/GlooDeviceFactory.hpp,sha256=6uYJNTmt8NltswKTj3mjeF5GYbjCfN370n83gRxFAp0,714
torch/include/c10d/UnixSockUtils.hpp,sha256=HWKVy8cn1di0I0GikA9rqN5UEmBoVQm_hXSLCC9W2dQ,2659
torch/include/c10d/FileStore.hpp,sha256=H_f1lpMzhB2rhnLvIet5i4R-cBledQknuvYWIp5ahoY,1104
torch/include/c10d/TCPStore.hpp,sha256=vNpSnPcxmFgT0twtPdJ4-oMjisGpcGQjmgsYThSljVA,2974
torch/include/c10d/ProcessGroupGloo.hpp,sha256=rNRoKovZYN6nosPa2C6s1oEg_CFpdJty-k7EmO5JRlE,10109
torch/include/c10d/HashStore.hpp,sha256=_23ZQ-PVLZKyd2fWkLmcG7ww8TlY7a1HGOVnby59_zg,948
torch/include/c10d/Utils.hpp,sha256=IMZTRBUXEibeV8vpQAwxuAvwWEaSs6kXNRoATyBzT8g,20921
torch/include/c10d/Types.hpp,sha256=bNL3-euv5iKpSg-2is_6Iwv9nNs8lFVUkepgOiuTnyI,1370
torch/include/c10d/PrefixStore.hpp,sha256=65gWpvolX9x6wnF_17n3tNY4hYO45MSyCCX2jxV2JXc,998
torch/backends/__init__.py,sha256=MupoiwtlWhQ8d5n1y57Q9ayHFs8Jb9FWPLH1UDOvYc0,1469
torch/backends/cuda/__init__.py,sha256=6OGrwGn2Mod6vM6jouzybuhvWDQ5ekE1C2Vz23reaIQ,3442
torch/backends/quantized/__init__.py,sha256=2xE5fa3HmjMh2FbgsZwOSHtH-YhlYR8A25eqPyLcot4,1787
torch/backends/mkl/__init__.py,sha256=1DlHk9fCOkXfrjE34hSYND6UAhgc_G3ONZlm1f6hxI4,125
torch/backends/xnnpack/__init__.py,sha256=VGCdkICzEdAEGKvE6cPqOf2LPCoYGAHIVUec82DnTj8,698
torch/backends/mkldnn/__init__.py,sha256=GV7Myu9wdiK5zxLyD7D2Z2KNoXuroRsfsMsWwnoL2ac,1061
torch/backends/_nnapi/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/backends/_nnapi/serializer.py,sha256=K-ICaM6Y3GrhzcETo6r2hUi5tPpPqGwuiCs-hBrZSLA,49077
torch/backends/_nnapi/prepare.py,sha256=Rq91kvRKilmVXpOMluZt0TsrhPLzg7UAMU-TaEwhPrA,5875
torch/backends/openmp/__init__.py,sha256=kk55NHvlEJ5XmIxXw3j-TDieIbQwqddg11rBxNe75WY,131
torch/backends/cudnn/__init__.py,sha256=rC-bZCCQL6AiYapYonqurcVqIrt32Y4Q82OGJ1z_m88,4562
torch/backends/cudnn/rnn.py,sha256=xoQsrjWMCrYHQiSFqPLxz13AJSEzBeFeoRIYos53Ofs,1930
torch/optim/lr_scheduler.py,sha256=YI3aZ8OX2z0K9WZYyvNoMgIiEv2FCRQ7dHJ-gC5-iy4,57403
torch/optim/adagrad.pyi,sha256=xYRPFTtAUQOFqEf4RIvVotQJuHYbfa33ZGC1mJqLTWU,267
torch/optim/rmsprop.py,sha256=-BkKqrHH6IP789u6_A2zxESw-9LCgXG1O1k56Ek0D5E,4628
torch/optim/asgd.pyi,sha256=LcQHV_JI6IXmLEdkIaaipO8pA3WHwfGV2_ZNaY9Z2Ho,239
torch/optim/sparse_adam.py,sha256=lTatTA5hYwx3eX0sI3sEBqDouY6mYgTf2rdvy7EjaEw,5283
torch/optim/__init__.pyi,sha256=DLVdV_NNIfBZtnI8tGfiPf87UwQ7pDX5ub_1_9Jd7dc,528
torch/optim/rprop.py,sha256=Z0FU92dPFwegkzsPczBQQCm-_7OTVLpkj1cBRPFvcGk,2916
torch/optim/sgd.py,sha256=pb73LXRbHS6CCHCp73d80oFRhvE6PkdYQTFWhK45jNM,4566
torch/optim/adamax.pyi,sha256=7F6G0K5R7WPwtf82gL3FYAoFpBSQWGzh0M7uv1SvsHw,238
torch/optim/lbfgs.pyi,sha256=E2NhMBof4uXcgeVsw9XpaEkEAePz5g2Ta669o1y0-dc,336
torch/optim/optimizer.pyi,sha256=XzlP_HX0C_OtvJqB0OWUozVlf7vLiZ_1tSwWroe7QdM,661
torch/optim/__init__.py,sha256=gjVWURQ8LxStkwI92UcBqBmX_3yK_Sp2qagZQWG-jRw,764
torch/optim/rprop.pyi,sha256=lnAN6g94PBkBIfYmt4SVtq4Xg4PaukcQKDpcged10uk,232
torch/optim/adamax.py,sha256=wa9nC7jLeSO6QLOA0gzRfMcDYyI54T7JE46R7rHsato,3522
torch/optim/adam.pyi,sha256=yAFKF9Hl4zjTnM6CaI0JU8xxtzOoRjVuWf_HMNjWR1I,257
torch/optim/rmsprop.pyi,sha256=AXXOp2x27m1vOqRZ_HNQjd5608jzj746BG2e7ykv3fU,267
torch/optim/adagrad.py,sha256=YF3kdl9n40GqQ6gxA2aD6cfmLCYwT15u5POQvc58JbY,3532
torch/optim/adamw.py,sha256=FtmLhLtTbEIOHdm4gazgaVvZ8JcqsNeO8lBb1muRAgI,4893
torch/optim/swa_utils.py,sha256=ZI0xqzGxAmXneiAShSVRR1aHs72mjpv8odggx6v-aTc,11564
torch/optim/lbfgs.py,sha256=6joCnGAKLS6ywwF1-X-y5CAgxFf5znmUa-08HSigAxw,17239
torch/optim/adam.py,sha256=UyMy739mXii7CA3J_KCBcw4cDRFmGtKwOFzx-lHJ3_g,4976
torch/optim/optimizer.py,sha256=6GQ63kIr_lHQUvvOHK_x-V04rF8ktCzY7bTho5L-V6A,11843
torch/optim/adadelta.pyi,sha256=9mvOp6uTew7mcUdYcADv1agjBQ5oZwB3mAphsryR7TM,224
torch/optim/sgd.pyi,sha256=ACEZHhtHmjfPijTeJ5T6t7TVaix5RuDEba-M_k5lpuk,219
torch/optim/lr_scheduler.pyi,sha256=cQCvV05DdGDjnriiqULT9dV-sk-CO7cjIVm6v0j5PpY,2197
torch/optim/asgd.py,sha256=sSmmGpubZt3oKsvE3EejxUhmZxgQ2-avAbrN1HHnUbU,3093
torch/optim/swa_utils.pyi,sha256=NgWmu9N158upM0j6wx3Mq77MioBDUwnzODNfou-7Y94,716
torch/optim/adamw.pyi,sha256=dVIt_NLaqDeQ1DKfSY6_hr-aEHc3Z4SOuj5bzb3ie8E,258
torch/optim/_functional.py,sha256=AJhIlmMDy4LCu38DITkfxEFE0lSIX8lEGBeZqYM5Gc0,7902
torch/optim/adadelta.py,sha256=FE-hzV7LDchpTOZcfFwQrYp_OsEWLSNIHHiCpgfXej4,3190
torch/optim/sparse_adam.pyi,sha256=lQozpM3zhtH1bxoRKYBp8sy3y4_4V0iT_bxmJ0r4gDo,218
torch/optim/_multi_tensor/rmsprop.py,sha256=kKW9qJ98aJ7U9eUHY2csQ57oCqTRtNwmFz_j9hWw4gI,6280
torch/optim/_multi_tensor/rprop.py,sha256=zgV6rsRgSzWKYpTeKwMAqmR798G6cpRtkxhaI-VDTxw,4538
torch/optim/_multi_tensor/sgd.py,sha256=xyD2e0wIh-u_QOjh82jjJ22PkNbzNc0ietdayMG26x0,6830
torch/optim/_multi_tensor/__init__.py,sha256=dQoxGGV1vlKi8RbJovgKWfsKnQS529yHtyw6iFYv5Dc,552
torch/optim/_multi_tensor/adamax.py,sha256=54t6HV0W1BW0FzV-WaPeGuoYRxQ4uzW0gS9nPR_9QcQ,5104
torch/optim/_multi_tensor/adamw.py,sha256=ffUWvSXG1gIKbu5RorPPwxJfurNDSGxeyXqLgFSP8-s,7055
torch/optim/_multi_tensor/adam.py,sha256=Wx1yFyqbynRPFnmRgdH6_u_jaelB4KI1cKlEjB2_SzU,7142
torch/optim/_multi_tensor/asgd.py,sha256=49WQq1ahMxuiW63R5XM6LRmkdSrnsU-opJSNjCBbUPk,4507
torch/optim/_multi_tensor/adadelta.py,sha256=yOO85KhYfrA4Q7zzzm5wAWspG5mrsfPizFHv3mIiQk0,4722
torch/utils/_pytree.py,sha256=jih2isMwXzO6gMBqyLq9ANW1N9kL4-iEtyOxPYPtCto,7051
torch/utils/hooks.py,sha256=ghwhnf5Ad9Fs0_tqfVSzotRkh3nBluYPDacGRcLo9EQ,6643
torch/utils/_cpp_extension_versioner.py,sha256=UA_VNYhEGaewbqA2dkD1RxOfdrWdTApdkEkte7mQOto,1991
torch/utils/checkpoint.py,sha256=7MxPs79LpRkMT8-LVNulP2PmHgrq1h_WvwJhzDFM2MU,10745
torch/utils/show_pickle.py,sha256=x3541txKBeVSCHGkDTVDhATgYfXoK4TX7H_uhK1j7e4,4003
torch/utils/file_baton.py,sha256=Ac8ixHOBwqWsFhQxftA2I898WLTtsuQ-bKA3qMc2GfA,1396
torch/utils/model_zoo.py,sha256=o2NC-XaU8fqDXbUBQDv7thQBld_LOK-Ko63GS4x8Iyg,117
torch/utils/collect_env.py,sha256=gWjHY-q-ucUUkLy0pJXHj2-0a4HpcaamUwgkZX8tSso,15193
torch/utils/throughput_benchmark.py,sha256=zvCUkKiPxjlXMaASBK8MWbdQpSHZWm5u8hM0LafpUnY,6387
torch/utils/dlpack.py,sha256=6oFWMNgZ4nGJ9STL31DoHmRkDhN9yE525HWcftykL6g,642
torch/utils/__init__.py,sha256=IUWvGxrCrw_7pcE6upomln2nzIlERcz8j8u67BT4i64,540
torch/utils/bundled_inputs.py,sha256=9TaBpDBwW7m4NYQZ7v-2Wux8H5LSWo0sdj6NUNcS_K4,11733
torch/utils/mkldnn.py,sha256=hmkojTj0GtsWK9ySoOXXgZVJn0XngUXJ2ebWSK4YCUE,6640
torch/utils/cpp_extension.py,sha256=xrplAr9EStggzfL_igigvC1HlySo154ISs0Q5CsMdDE,84502
torch/utils/mobile_optimizer.py,sha256=TNgF1eRV9BSLrhJCrLPUE4kEekKyp-R2NPSYb939Vpk,6168
torch/utils/benchmark/__init__.py,sha256=SCpucPjJEAKB9irxtwLBsKZE46ET6ytlechHeIzUKXg,327
torch/utils/benchmark/op_fuzzers/binary.py,sha256=uLwDtIzVosONoqYgeWpqovKzLOhb1Er9_9ClF0diO38,4109
torch/utils/benchmark/op_fuzzers/sparse_binary.py,sha256=vw4fmfPC3JwGOgI8fz13k9wlCwGhgZMQt9nUjIO8drg,4191
torch/utils/benchmark/op_fuzzers/sparse_unary.py,sha256=cINlZXC8v87lhxOmMuoNCyIvLDSkunGmxbezHawDUEE,3219
torch/utils/benchmark/op_fuzzers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/op_fuzzers/spectral.py,sha256=qxFUTHZf4YuX6WYrHd2s92-qmcWWy9tMUeNBTcJFlZM,3597
torch/utils/benchmark/op_fuzzers/unary.py,sha256=OYGfWne_fZWUqZXz_hv2glMpYoO3cvIdWeYcEUF7ZGk,3119
torch/utils/benchmark/utils/timer.py,sha256=pG8AF-BmO8dExsVz73U-NYY9oXbgvx8pazvGKqO-b7M,17633
torch/utils/benchmark/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/utils/sparse_fuzzer.py,sha256=W8ms4KpOPS7CKEntOz9oYzQOqAbGEdqUnmnDfs0KgSM,5179
torch/utils/benchmark/utils/common.py,sha256=R1tyK2mhDfArKYpHISlY7_bf3SG8Sn6HFB3J9NhyQjk,10716
torch/utils/benchmark/utils/fuzzer.py,sha256=cPNpAhcfwTlDvcM5kidqE5iW9qVv3rSdrLrNPgaum1k,18211
torch/utils/benchmark/utils/timeit_template.cpp,sha256=BrbRY8si6n1bn6wfl7H2OT8cRj5IAnPPdIMgjTQGGHw,818
torch/utils/benchmark/utils/cpp_jit.py,sha256=2qbUjJwFLKErNnXAZB_Yn3zGdVnofnuHWun6PDLMjkE,6150
torch/utils/benchmark/utils/compare.py,sha256=26gewlvGz1Tk_DKrxPOMF7w5V-n5kUcYP3dM5rS4N7E,12333
torch/utils/benchmark/utils/_stubs.py,sha256=HwSoul1rqToSDYxrdWgApjUc8v0jJqGYga_KPFnt6_o,1118
torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py,sha256=RCVHhUl0IgGMm7-TXuwFnDkjpB0xkWmidKrlVtHpVXg,33655
torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h,sha256=8MpV41sjwR0bIML04pxlLIjVuGhRtWdy1Kmtax4jFLI,422653
torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp,sha256=Hc4mXcmR7HJ8taAx3l_MGc2i3ZkDOYX2-lJLVcMvLPA,1192
torch/utils/benchmark/utils/valgrind_wrapper/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp,sha256=sse5Of4s5Ky0-TRH2JxBO8mcohQCSZ_Ihah54tOFVDM,567
torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h,sha256=wK1NVdRImF_4WVLlQrXkufunvE0qLr5dw50v86KPIo0,5744
torch/utils/benchmark/examples/op_benchmark.py,sha256=BuN1uygjO4AnnWRIPsHnubu34mGg7EVcWLjn17z0MD4,4176
torch/utils/benchmark/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/benchmark/examples/simple_timeit.py,sha256=-ZXxBv6jUWNKaoDSAIdyFv7s7Jr_5MRDFQUale5ychc,533
torch/utils/benchmark/examples/fuzzer.py,sha256=2YxTfVGhZFB9sVYSCbPt8tcmuWrPFtIH-NWucw2xDII,2622
torch/utils/benchmark/examples/end_to_end.py,sha256=DAbsQtrDxNT_nxiYDUxm5azlXCiBPvgbjXKRIPI1Xa4,14629
torch/utils/benchmark/examples/blas_compare.py,sha256=YtP0QwFPNjRWtM8nTpAFvDWFoahL5s3HiejlIT0d5io,7624
torch/utils/benchmark/examples/blas_compare_setup.py,sha256=3YmSODPEddVBzY9OBMSaH1HhcE6aXRrqdhBhv70SwI8,7233
torch/utils/benchmark/examples/spectral_ops_fuzz_test.py,sha256=QdJfaMcAuGluY0nMnQgjGfIbqXkxU2bJ8G_6AAFxWx8,4779
torch/utils/benchmark/examples/compare.py,sha256=WnAqs0qorzpD-5rkkbtsOOpBeLZdr0TTfKhOovq-sok,2896
torch/utils/backcompat/__init__.py,sha256=1vl5-Q4ISj-DetbRdyAiaAdDwzj5cRhuaz1a0EawAn4,675
torch/utils/hipify/version.py,sha256=RsZjRjMprNcDm97wqRRSk6rTLgTX8N0GyicZyZ8OsBQ,22
torch/utils/hipify/cuda_to_hip_mappings.py,sha256=RPcaKsr2uf-_EIh3pn8kmjadDhfp6W_vt6ipXFA_17I,305615
torch/utils/hipify/constants.py,sha256=eO1madF5Ofjm9ex5tPVQ97Wyr_bmtvwh6jP7JccXTQI,1180
torch/utils/hipify/__init__.py,sha256=Jzb_RfgvXCrm_SQ4AfeGVi1N36YybxnM5mpyxrnihgI,33
torch/utils/hipify/hipify_python.py,sha256=QlS6LCOK27033QYyvyp7n3xA6IJSXS-ZgoXiikhkJfg,37365
torch/utils/bottleneck/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/bottleneck/__main__.py,sha256=o-BUNLb4MJHP1OPLEHFNmZTWc3C_mCBevkD8nVL13IU,7217
torch/utils/ffi/__init__.py,sha256=XcihawFoWc4xlTvnmJphj-BuBvARttivCF0DrB9IGz4,87
torch/utils/tensorboard/_pytorch_graph.py,sha256=mFAe91hRQ5o1rp0zJnep-ryT5_VTPHh-cCEPNJQqIFY,12722
torch/utils/tensorboard/_proto_graph.py,sha256=Ek7yCT-K_QO0n8s8ewjR-yBejnkXzNeeRvD1yY8SY_E,1688
torch/utils/tensorboard/__init__.py,sha256=xbjIL5k8W5vJ8e9CudCweXg4WoNknppn83rswfdsSWU,430
torch/utils/tensorboard/_embedding.py,sha256=d7tXmvpotfO3SP5x1MYm0OF4LvbujVU-G_oke9_sHjY,2884
torch/utils/tensorboard/_onnx_graph.py,sha256=1l6YEbNqn4Kx1uGE-7sZHbOXL0rmLFynn_1tlBuKL-M,1759
torch/utils/tensorboard/summary.py,sha256=JbGsAE2BbxqJMKSWTA6tPprNTNkocwcrOoFPYXLE9fU,28998
torch/utils/tensorboard/_convert_np.py,sha256=uxzusgUhgxB3BxYde0kIODHFt7t3sV_Yr30DgGLMKTo,885
torch/utils/tensorboard/writer.py,sha256=wLEj4-F2Y8fyVnfv_9cd8PozEWVCS8s4aKLCUd18IZA,46360
torch/utils/tensorboard/_caffe2_graph.py,sha256=geG8n2SIUoa-fctW0XBK2dZu_Tu6bD8cQenj1KGYmtw,26596
torch/utils/tensorboard/_utils.py,sha256=c6v0OvVWF_JgWo3pNZ1VhoG9pj_fZ_j-796_t9TmB7E,4083
torch/utils/data/__init__.py,sha256=iKjHXu4Rp5m_mJCo26RnSCg8PfsMjQAT81pq-H3xNtI,843
torch/utils/data/dataset.py,sha256=4PKYK0hwTxHJIo7G49L4QctndF4nQbgf9E00LwyLE0M,14218
torch/utils/data/distributed.py,sha256=OUx-Q0XqZVtVGjDCuRY7hepozteU8uBUMKpu7TReVVo,5928
torch/utils/data/dataloader.py,sha256=fVwYjvHYTHOcmsEcor733mNykglhMwq3BpRycpHP1GA,66902
torch/utils/data/sampler.py,sha256=TKKJQ6ke4e9i9lCO9DOvM8Ag7XZSQwElkz6SJdpymKw,10107
torch/utils/data/_utils/fetch.py,sha256=5nBv_50ZxS6mtJ8Ru93qNTDVGkXDvFi34PbikaKvEcc,1805
torch/utils/data/_utils/worker.py,sha256=vtUrXHlnROQvdJKBA3JAeEmVip11a1hET8gV486tEX8,9310
torch/utils/data/_utils/collate.py,sha256=7fDi7cR96Auueq--fBgccE9RKRUnYAb4Da3teJJyTuc,3670
torch/utils/data/_utils/pin_memory.py,sha256=cvHtMagvCB6BIgl-WCqZ8DUIZNMjtBBaOCBO_VGxd3A,2085
torch/utils/data/_utils/__init__.py,sha256=84sBeAAEhQWLD5ECzddV8CFEfakHmRd5IaX95kXdn6o,1501
torch/utils/data/_utils/signal_handling.py,sha256=e52xAxLWgTWwTuDRTQ8D1QZBcVFYJX6WRNK6PXieb9M,3142
torch/utils/data/datasets/listdirfilesdataset.py,sha256=dl2R1H5_YpQDw3IiyxFEhYqc4C-OcwXKcAqnWGAtAu8,1252
torch/utils/data/datasets/__init__.py,sha256=Ng6fXPV2l62XLaX_1ZNkjLh1U8RkH8hFtSqxQw3_VCg,211
torch/utils/data/datasets/common.py,sha256=qonyg5yvB3dITfHmwkNc4ekfcTwVNeNOi6rf-vFPKbA,1494
torch/utils/data/datasets/loadfilesfromdiskdataset.py,sha256=hQngiTU18bYoItaZ_oyqbNC8AVuNKO8JQRsM8FGvObI,959
torch/utils/data/datapipes/__init__.py,sha256=88-RQAjoMdJgVm_VR41P65fswiwveRUcefh77h845mU,39
torch/utils/data/datapipes/iter/callable.py,sha256=fWtsVe6OJEOQtuoLP5s7WmuE9ivmsl9LErfV9CJfCJI,3233
torch/utils/data/datapipes/iter/listdirfiles.py,sha256=F1Fba2BqBzWo3vml60CcNTq5aIV_BDmbt24iBSs4c6k,1331
torch/utils/data/datapipes/iter/batch.py,sha256=e1PEDFh4uGWIhrpJ8OlFoM0C9eB_demnVDieSvGitno,4946
torch/utils/data/datapipes/iter/__init__.py,sha256=jHWUZXrV6GZ_g7uqEJUzeOdPBdRLDTbOaGGrMVLkM5k,929
torch/utils/data/datapipes/iter/readfilesfromtar.py,sha256=X2MY_wLi37Jf-QxV8eNrkVmA0kl2F3LPKIXywXT56Xc,2817
torch/utils/data/datapipes/iter/readfilesfromzip.py,sha256=Y9xQYyVCu3MMWLn0D9jMDjd5MapkFSw6OK0WUDb6v74,2799
torch/utils/data/datapipes/iter/loadfilesfromdisk.py,sha256=ZNFLpOZvY7reDw2cM2qi_GH-LiHUm34Yb4JlRIAMixg,1017
torch/utils/data/datapipes/iter/sampler.py,sha256=5h7gG9J1P3GQRxrJdcPemCsCocAljk1wic2h70sWlO0,1387
torch/utils/data/datapipes/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/utils/data/datapipes/utils/common.py,sha256=D2BpCHlboKLR9OgD98no9TdFrkz7etrhBw5_88K4Roo,2159
torch/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/contrib/_tensorboard_vis.py,sha256=HTYXYNSyyldYqsgovN02phVOmqIhAL6AQJHKbbplHX0,5925
torch/quantization/observer.py,sha256=Y0AeHFNS9_tyZHbB8S5ncPaa_XItLw9GLQ_g4Q_67RQ,51353
torch/quantization/fuse_modules.py,sha256=EsR6mtlsfx-t8Vf6mEKcJwfYZkzXXzbUogtSZQGx2EE,5708
torch/quantization/_learnable_fake_quantize.py,sha256=QWlXTsUnQwFZZXacr8nWSVXBjYEtCQ0vhXzg1HwnhDw,7182
torch/quantization/quantization_mappings.py,sha256=w-Ul0mB7CwUbCslTop4szT3Kh6rcT6ygSSVR8OWCKAM,8111
torch/quantization/_correct_bias.py,sha256=iukINsD8nJIUAP5Mwfdwvh4DKrr-cCqWERRPdsVxQNE,4974
torch/quantization/quantize.py,sha256=JShh_LS_viUskUggpDLsqzDL3bS-oZbje3qjTYNNJAw,24038
torch/quantization/_numeric_suite.py,sha256=dfaHf91djjbE98zNqyee0WsB2MPELcre6YTkC3bA5Vo,18470
torch/quantization/_equalize.py,sha256=lfjlZ435v8UD7JKQbTU9c2lSiXoCAx1avZ5GbjjO0L0,5612
torch/quantization/fake_quantize.py,sha256=tC1kUCwNM91rH-ZeSsP-3YK2NV89jwdr6aKs6CCQ6YE,13737
torch/quantization/qconfig.py,sha256=AQPgIvlff9nyz88O3h7Wxl7EnS_ULMnz69XkpOSuknU,6481
torch/quantization/__init__.py,sha256=kaqV3dLg2qKLftrbYnjZwqnr6mawQrzZIi9Oakdzibw,2362
torch/quantization/stubs.py,sha256=AHyUuRtu-0IMmnCOW9tr1XNFDKFC5jGZeI22TViTJW8,1855
torch/quantization/utils.py,sha256=omRTh00x94iXDRQ_DgsgTKew2HeFfaYpKukkDX3olQY,3313
torch/quantization/fuser_method_mappings.py,sha256=6SRjVzhV6e4kk9tN8wIHPY17w0B02OYVTYYpJZWhfmk,5289
torch/quantization/quantize_jit.py,sha256=bgIQHTIIlsqEDDApo7sF-rcuIjsN_cEukBh1Ck9wdac,8814
torch/quantization/quant_type.py,sha256=tiTtwvlmKyoIOnT-i2fWhfzTRsA06T3CjwCgjob-_Tw,451
torch/quantization/quantize_fx.py,sha256=IFfjnLLscrtEZ2eEjy_qhhNUQs-8E9VMKt-d0nhQicg,20778
torch/quantization/_numeric_suite_fx.py,sha256=9Xn4tH6hkeZMPmoHO_RfmiZg-iEE86Tttduqmf0sP-U,12604
torch/quantization/fx/fusion_patterns.py,sha256=9JMvwfIFvaJd77V9QdrJiJT0h_Vi2OllMTZoQYH7lTo,6862
torch/quantization/fx/qconfig_utils.py,sha256=rnV9A_QpfWNNLuafT2PhWCXq6ClXeW0IU1ZLxMHDyaA,3267
torch/quantization/fx/observed_module.py,sha256=02_F5SaRqRaqPa6RpuvA53drgqmo-ah2S3NMNkeAgJ8,2135
torch/quantization/fx/quantize.py,sha256=vCnoWWIljb8nEsbwJvnrt0evmmaSKA2vTrlYaC65pDw,52075
torch/quantization/fx/quantization_types.py,sha256=4uZnrFUdeOqMMKbQ7ba2b7VzvV8G820wusj7xPgRCSE,319
torch/quantization/fx/__init__.py,sha256=R2WJ9OzRW_ORXAm7tGL8DDLFkkGM4Djfr216NiGQszA,56
torch/quantization/fx/utils.py,sha256=AtAXMXi8620he3s2cwbnXL2xFD50q1ZTXu9OITHXjgg,13225
torch/quantization/fx/pattern_utils.py,sha256=xojDz9R2_077GYkTZdzzi8UYAkhgZ8mf4PtHlyivff8,4342
torch/quantization/fx/fuse.py,sha256=cjCCXhzXDNx4MpdXNvIbKrCDHgGSP9OIzn1ldrCdEmU,2817
torch/quantization/fx/quantization_patterns.py,sha256=A-8Wb4HhhvrC5g8n6EZ6r5GvsDoYUGKbcLJYMNa6_u0,44877
torch/.dylibs/libiomp5.dylib,sha256=4V1tWAtmkjANz_Futo-fUfsralf9RGI4U7WsoR7dqfI,3086288
torch/_C/_onnx.pyi,sha256=iH3pjWCg7LEPNt4FSb14uiPrautzpt8-q891U_FrjRs,660
torch/_C/_distributed_c10d.pyi,sha256=9HhuUTGtrOyGhcdzpYRVMUpMp0aGoEE6cLGVEPoz5UM,8398
torch/_C/_autograd.pyi,sha256=WV4Falc2OdJt-iJlUytK44onFgtBPwKhoyvSOsbnF_o,2097
torch/_C/__init__.pyi,sha256=nVvyurY2pH0Uon-54EpKxUsjFFG8f7yPQ9iPOI-P5k8,90355
torch/_C/_nvtx.pyi,sha256=LLfE9tC_xIaJ4IPX02mtMJoIuSOP8JPj_BwtGbfR1VA,150
torch/_C/_nn.pyi,sha256=rejX0sRxc9JD-m0n_UWZ6FtwLAexgYp_GeMkho36sNc,1717
torch/_C/_VariableFunctions.pyi,sha256=1ojSsUUu9lz6caqFZB80bQFJjcnw_wl0QcZCm_lDIW8,125890
torch/_C/_distributed_rpc.pyi,sha256=sJkcwm-3BW98Y3rKCNqJthrKSXqqmFlK-b0ZvEp-KdU,6109
torch/_C/_functions.pyi,sha256=VcvALAb8hLVliWeBUk7T4aijOKPQ6k02gYUd1UGhZgE,344
torch/_C/_distributed_rpc_testing.pyi,sha256=3DmF4P3ZsEGMaZ-SRnhv3XDmCtrU7Jx0zYMqD5gLuLc,1375
torch/_C/_cudnn.pyi,sha256=u6AtFliqINpzpP_exa4Gm53ORR-ouz_zJMu2f4Mmecg,377
torch/_C/_distributed_autograd.pyi,sha256=mV-MjR6Pzn_6QrsPemdDyvReQTiZYGSSJpkHdSxudEY,908
torch/testing/__init__.py,sha256=N6cwwLfKSBTx7vU5_y4ZGiK2_I3LuL5dZeM9fEp_fCs,14814
torch/testing/check_kernel_launches.py,sha256=taLUzt-2hd4fRIb9eVF1Jg54LZqiRa5KL4oj6y_QzP4,4896
torch/testing/_internal/common_nn.py,sha256=HVc2xHNj8_juf3GX6zF3mUsyBRHPjmy4kacpSL79BoY,218760
torch/testing/_internal/autocast_test_lists.py,sha256=5bGkX43ZYb4Pcx_Gr5GuMX0Q-JPraOd-w3p7EWogFpk,14545
torch/testing/_internal/mypy_wrapper.py,sha256=duOOyxEznbX56eEuqk3deuHlEhn4CS9DPPx_6r70u-4,4589
torch/testing/_internal/common_device_type.py,sha256=WO7gVs_yRdHI8pUr6oKG60vMefuhr4429C4NwUp1PKQ,35956
torch/testing/_internal/te_utils.py,sha256=d4EIioHPmK289UlKTg3qhzG8exMNETPIAJ8tqeAoGiI,1155
torch/testing/_internal/common_distributed.py,sha256=bhVVLM5QGxuBMzW5QkwTj0NkzJN-4B_rPH9XLf91nCw,17045
torch/testing/_internal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/common_methods_invocations.py,sha256=fx9ZMhQ8krxJdeKzIofSXNqFAsBXsW2de9QeViByhZk,184923
torch/testing/_internal/expecttest.py,sha256=izfoBA0W-as9QqfaLiuyhWHcBaTGQFZjXHVB1l1jho4,9654
torch/testing/_internal/hypothesis_utils.py,sha256=1m4HrGVlq9b-3E5JzaKLV9YYLXe_BpROZhiGSf_LPho,14671
torch/testing/_internal/common_cuda.py,sha256=rv05kKd7AQRAPEuCRvSHQRDQ_xMI6_X7CQO6lC_IMi0,5819
torch/testing/_internal/common_quantization.py,sha256=TLEUqXkEooB2A2Gwggm_EOkIFItO-GESiwPpDHRa1z8,56323
torch/testing/_internal/common_jit.py,sha256=wX_DtNWhzRD0XWQq9niTplGH0h6J6I1JF4wmw1yznO0,12335
torch/testing/_internal/jit_metaprogramming_utils.py,sha256=3vtRLJCS_YMbX7AMzkPMxkbqUlqZ3bHK1GqJF3lMh0I,24929
torch/testing/_internal/common_utils.py,sha256=SIIqfTov2bp4e61pKdiVUuTmrppiU7QZqsg_IERjGR4,81015
torch/testing/_internal/common_quantized.py,sha256=gvu6fd3R3sziFY_XXrIeKU9-6cC5HclAiYCPR-aJIaU,5763
torch/testing/_internal/dist_utils.py,sha256=jQbakkdiAr2VNPkb7KRJdCx3UTMmOTZF7cqEiLZe4nM,7645
torch/testing/_internal/jit_utils.py,sha256=kIbxETPWmQyCjZPQlVWifzUC0MbKmHesitGEYTWWrmY,26788
torch/testing/_internal/generated/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/generated/annotated_fn_args.py,sha256=y02PuyIWeGz2VMpXsd_xbJHqzqYvRUpc8Lp4O3LSDrE,262396
torch/testing/_internal/test_module/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/test_module/future_div.py,sha256=cFlqiaoSElEZtu4KEokMdzZ4NqgEt2vYJpj5OmKyovk,123
torch/testing/_internal/test_module/no_future_div.py,sha256=SKW0a-yqFgowu4GOSxu19AaZDvO94x-TnLqUwYtpxcQ,122
torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py,sha256=nxuxhkjQHGC_nQ2geNaSJBP7r8nGCRgVuzHu8Qh4wb4,26451
torch/testing/_internal/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/pipe_with_ddp_test.py,sha256=HUYzGcchHRo77t6nFo7ejoooivwOP72uRBGLFcK-TfE,4505
torch/testing/_internal/distributed/distributed_test.py,sha256=JYX4tTNxomSjx7KHNMQ-D99HZLPDcEM1Sc53o8jk7yE,186307
torch/testing/_internal/distributed/rpc_utils.py,sha256=1Yk_a1660erxcct52lyOtSVYcJqLlM0p_-geo52fKHM,7001
torch/testing/_internal/distributed/pipeline/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/nn/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/nn/api/remote_module_test.py,sha256=F1CqXIZWe6oXnIC0HskPw5wnLwVW4x_tONTbB0WaiPA,17757
torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py,sha256=ODXASZD5jhcJ2BaWb8VHSXTiGJYVBbPgLO-1nGqaJEA,2348
torch/testing/_internal/distributed/rpc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/rpc/dist_autograd_test.py,sha256=NEvVc0S6cTK8fdKBq46gsCZ2No3VPWH6nvxieGvY2D4,91095
torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py,sha256=6KgoTG_s62TChKWFKHFAl3jxm0WxJMmi6DWdSAyhA1w,1864
torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py,sha256=G441bFk_trKFvQet90jVQlzw9z56NEf1RVpgZ1BhdjU,891
torch/testing/_internal/distributed/rpc/process_group_agent_test_fixture.py,sha256=GVuZzCmpLPWYpYjB8Ar6ZoTdO55pcqzXa5Pv3Vki-hs,1410
torch/testing/_internal/distributed/rpc/rpc_test.py,sha256=LkRgVtrZhPrv1GctNNYWzU2uTspG3qsBRs_bO78OlLU,194937
torch/testing/_internal/distributed/rpc/dist_optimizer_test.py,sha256=wYP03xAm9gFr90g-ZTrPpqcOYn0LIbYVkPEnMMm5XT4,7681
torch/testing/_internal/distributed/rpc/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py,sha256=BnZZdi0hq4K1MlrUUp3iSttPt-2Qt4juOrpFqpOOvsY,4206
torch/testing/_internal/distributed/rpc/jit/rpc_test.py,sha256=kaMXgZkSwBhBXgBWC6uJ0bdLmspFRomzmzwUVNAxuf8,46844
torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py,sha256=kL9gnu2izINkhFBU9SZ9YIA4LWD8AOOxbjUHeInTYog,8036
torch/testing/_internal/distributed/rpc/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py,sha256=EbmM98Ac6e2k_Jo9YcgVPMuyJIvO1j2hY6NjKo9GrXE,4473
torch/testing/_internal/codegen/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/codegen/random_topo_test.py,sha256=EoKzyDoMCxuklM1z1pgxVKrxaIk51lVwaLIqDWPzUkE,16268
torch/testing/_internal/data/network1.py,sha256=6DYN58kBBV2EzO3ChJG2MWWQUfzS7-wigEwMIes-Yac,138
torch/testing/_internal/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch/testing/_internal/data/network2.py,sha256=ekGlPqzuRrycLuxj9Hdig4KOg_nxnZb3rohdp9SkNcY,168
torch/jit/_recursive.py,sha256=pa08YIFTE5BvIcBfRdKh9qXd-vdFOij_l_r8YFMeUOA,36066
torch/jit/_logging.py,sha256=AXSPcmOG3GZFileVv9IeUES0wb5kjDTYzzsy5fCyj4E,256
torch/jit/_serialization.py,sha256=uVawqBLv6pLG8mKewfS2uEve2X1Plx3kiBCl48RYlVU,6227
torch/jit/quantized.py,sha256=F0u_rIz1SCmKF2ElIgq6PvQZfcd5oU4z_RY7-DcKCok,23862
torch/jit/_script.py,sha256=nZVbr_B1NQMD2qny3YwNr8Mabjz58ymDGlWO48m0hoY,44598
torch/jit/_freeze.py,sha256=CdO62n3XjkNglJsiD5j7G8CS-s7360hOr3_Q6--Szw0,6539
torch/jit/_pickle.py,sha256=N7iGMNeZBMGU1g7x5SkNZbgPM09ELxKJKNBG3z7VWPY,954
torch/jit/unsupported_tensor_ops.py,sha256=DZznKgFyPPPK4S5ryBLPUo0hSmt6bmWregwi_cJ_DhQ,1830
torch/jit/frontend.py,sha256=6S-nNSHiyKApbc5dGfX9KfkYwAnNRwn1eHLPkzQ2YLM,34570
torch/jit/supported_ops.py,sha256=kwedGMt5sl0K56dvHQAh1S80fnoyM_M17PbLvsABD98,10252
torch/jit/__init__.py,sha256=2oC0H5-XpvIntRX2680gNWEfSG7v76H2Djq_HFlvjo8,3946
torch/jit/_fuser.py,sha256=LlZ7WgCO2ym1fzANXzEXPCHQLapY-VDelyjKB7o8ga8,2577
torch/jit/_builtins.py,sha256=lNtSGbW05It2x3pKsnrxV9NZ-VdZeWKQjT5-FT9Qnsc,5493
torch/jit/_trace.py,sha256=Z54gcGdbkp_5n-plSweT689fHg_Fw41HTWB-yNDwEuA,44857
torch/jit/_state.py,sha256=-g5ODczev20mRMaoXae9PFjBLow4TbX1PvEewI_4JhU,3284
torch/jit/cuda.py,sha256=z6n-dzZ5tSxx77I_s3DWfpmrf7Nv74SIORoE-Cg7Tmg,7755
torch/jit/_async.py,sha256=YU7nYXxoYWNXU4ZbIekHh5zJRaf_gQm4OsMbfV2miFk,3779
torch/jit/annotations.py,sha256=VEECsz8FBJJ2LZOZ-nDB7dVgF82FaYfmWNYO3KdH34U,14255
torch/jit/mobile/__init__.py,sha256=lfYKK8SCpt0ck7PfRekLl6X7xbqLei4WmcKl4Em0fRg,2409
torch/lib/libtorch_python.dylib,sha256=lJfwjRNe4CmEw_FUTh31_KNSt3cSwzgWZl0AT-nfUS0,22010984
torch/lib/libtorch.dylib,sha256=XVNWRsrHkjZdYj_7MH0mDyNjf0GRdrHQ4Qy91MmwTHo,16432
torch/lib/libcaffe2_observers.dylib,sha256=ehD2yryeyM71c3hES_oAbi_PIypcmDIXw2l-ny9vcIY,143920
torch/lib/libtorch_global_deps.dylib,sha256=oLUthQn8CDKjZ6o76wJri4_8t1f1EyNqtuLitZ_6g_k,16432
torch/lib/libiomp5.dylib,sha256=5lX4Gr-9mxSUa_FODUKga65XZ53aePReMD0UMQHtNUU,3052912
torch/lib/libcaffe2_module_test_dynamic.dylib,sha256=6AcmKoSIspNCFutfvRjObcHOmSzXgIQXJ2lvWCSM8fw,70696
torch/lib/libtorch_cpu.dylib,sha256=J0Fb3vBDrEs5VT7PSycw8qy0Jpu_y2nGNekFBjl7Q9w,284320520
torch/lib/libc10.dylib,sha256=S6_rz2GzO64m5r1Ariki8wi-0ygwd6UuTjQPxgH1ULo,457112
torch/lib/libcaffe2_detectron_ops.dylib,sha256=uApGWJO7XuWyLVsgBWbQ-RsqNhlcuZx5X5bGG58ZRUQ,48682160
torch/lib/libshm.dylib,sha256=IVcTVKGwV0xk1KWqJLpEVNiFQLZnCFDwVHCkPwragfA,59792
torch/fft/__init__.py,sha256=iX-QJAJgddzKkCy1PMLzY0NUZDAsuHBxm5OD2kDQF_I,38823
torch/profiler/__init__.py,sha256=xje2RaI6sgb923QzW4SrYL3-55BGW26nl7zxxrWEvY0,687
torch/profiler/profiler.py,sha256=rGgaAqfj_GPOQ246HkzgwkoRQ-n7DYd6zbr3hCrTLVk,14813
torch/sparse/__init__.py,sha256=W5QT26U4I2bs_NL17Qvq435DDXLDh22VDv-5ZT6kWNQ,7932
torch/for_onnx/__init__.py,sha256=yeSnYRIZb8wbAiif5q5sZ0isrDWy8J40jtYDOkQz6LQ,20
torch/distributions/laplace.py,sha256=PfMnQ4dJcG94McTwr7K2klDO18-7b1Ww5ALEhwtQel0,3054
torch/distributions/relaxed_bernoulli.py,sha256=DNbnhuL_VeobFkJgoMAZBuV06Jd3YvWkNIEPZ1TAOBc,5360
torch/distributions/categorical.py,sha256=KvJDFScdGNx1axtxgWk0LKL1oSryAFLo1WwE3ETzckk,5486
torch/distributions/transforms.py,sha256=g-ai4aQav8wkrbC9hAGxNPB0aMY6vTrAkvw72hVbtYU,38408
torch/distributions/dirichlet.py,sha256=npHjYKamwl9PS-_-LhT3JXfETyOeVCt4z_Kxqupii8c,3584
torch/distributions/log_normal.py,sha256=2MVoroE0Y295P_kWQVVhawH8Y-Et8TpRLUk7r-4muKI,1743
torch/distributions/transformed_distribution.py,sha256=a_lQ8yCKyhIr5aLImgOZLID7cmcPGhI-4N9tR6ntfus,8197
torch/distributions/geometric.py,sha256=9zjmyPp78CNyde5vKjK6oXJ4Lo685ebHfAWJuVBrfj4,3825
torch/distributions/weibull.py,sha256=kJ6YJRO_1_XSGUe0UV5Jc4hVDOO3laE7StI8xRTYISc,2825
torch/distributions/studentT.py,sha256=2ziZzNh3f1srDL3ZgjumEI5mJUntExkrW4_5oELi2GY,3550
torch/distributions/multivariate_normal.py,sha256=EZ8CuxbYwhNL_rN0faAB8kYY6BJKzHs57amdaHdJnT4,10534
torch/distributions/normal.py,sha256=cRhJbZzKs87HBcB9dJ5mMnffoDRbhNQejVKKJxz-3FE,3351
torch/distributions/poisson.py,sha256=ZhSUGnTCelNVLlW2QId399YKWSOfCkGLIrQw1JL8-SM,2066
torch/distributions/beta.py,sha256=96SpFRyifl3voe8fd2uyFm9UkWJP4C3BsnfSynj2RVE,3377
torch/distributions/kumaraswamy.py,sha256=3DwQ3wOqyB4sWNso0sr7FyFiiGdMZfDOpAuDeetgpNg,2870
torch/distributions/half_normal.py,sha256=DkGNWOa2_GRuTZOL2BqiM-8sFda6ENJeOOZw3PLAa-A,2058
torch/distributions/relaxed_categorical.py,sha256=4pQR7Vw1JIDak7FNDOWQCIZFUqQ95TKGVKz1o0ZZ8DY,5173
torch/distributions/lowrank_multivariate_normal.py,sha256=69N-wMBAYdeQMsJPIVEeUqk0y8xL4KlwR8NBCK5oaEY,9916
torch/distributions/half_cauchy.py,sha256=oY6WWGIxfq0cwy2UKsuqAYOtAW9vQph7swyXk3yHpRE,2257
torch/distributions/__init__.py,sha256=1MMGCbPbqKv5CBCwGYGtWvnZVSimHmKQAtRu7YpUL-8,5851
torch/distributions/lkj_cholesky.py,sha256=WYuuiUaD8NxXAru_g-TFA6Wl_voH3GMC2veMvN2cbH0,6051
torch/distributions/independent.py,sha256=IMwXmZOXsyovRY6T_qqFKLSWErm6XcpCut5CKcPjwD4,4361
torch/distributions/multinomial.py,sha256=6P7S8hjvI22UZOStEntWeZ4_PHYx6ODYbJgBU3twuUo,4774
torch/distributions/exponential.py,sha256=oJwpE2s_fH2QJpFDh7OF20S_R3tyxi84rn0zxsLtHwU,2525
torch/distributions/pareto.py,sha256=VdklnCBvwhi8p0pK0MNayRionUJUAiIc8ah1z1xCe3U,2028
torch/distributions/negative_binomial.py,sha256=-rl6U8bhS8xhwejJaeRerwJAs3PofmCuhaKjd6elFfE,4091
torch/distributions/cauchy.py,sha256=ytjPcPxDAPVj-4u1eRezFQ2JWRVaSdUb-LuRpDREpVM,2714
torch/distributions/von_mises.py,sha256=gRG8W4zv_TQYNiegrXGQrAybVMFDgnRnJvTA4s04lDQ,5156
torch/distributions/distribution.py,sha256=OON83J4h4NML7cwdtcdz78VVDLm0Qx1R9UAbn6QrQYI,10938
torch/distributions/gumbel.py,sha256=vjdeK_zrQhWHKaGB-CZx3Cc6MYOaTrMT5w7rMHJGcL8,2528
torch/distributions/constraint_registry.py,sha256=PRlrdxhJBUZSLhUUfgbhl6pV14ER-2NbX3grhg0SQ9E,10141
torch/distributions/utils.py,sha256=VZ60hQRIercu3AfRsuE5UVhw5hiBL5Txudhr4x1x9aY,5881
torch/distributions/kl.py,sha256=kyf9Y7-B4fCKQU7jA_zbwIn3dx0SNDbYwIYkZ82jJOc,29978
torch/distributions/mixture_same_family.py,sha256=nQTBP6cMDqOln5ESHPJw0-xrYtr4_iflFJ_-G67bGTQ,8568
torch/distributions/continuous_bernoulli.py,sha256=tgKprAasI0FgGjRipxk5O5oVIrTHcSTRjOFiLIGANhw,8532
torch/distributions/fishersnedecor.py,sha256=zD3S7VwxQKJeeP1usu9IGoOZtHuB3ZodpUC9HoDBiCI,3152
torch/distributions/constraints.py,sha256=Ksf9vIPraiNmqn4uFvqR1IkpQZZmj1B8tV83C2_YQGQ,17506
torch/distributions/uniform.py,sha256=Qu38ghk-snxD2k6LpMEV6llTs3JmHcwyApk0VYeLyQo,3112
torch/distributions/bernoulli.py,sha256=s0LTt4vPDy7KqQtuUAOPG26HRfkNoWn-4F4I-P0zuck,3904
torch/distributions/exp_family.py,sha256=hKCUBkqxL-1KNIM8C6UzggShjDuQk6u2wynM9owTw2s,2275
torch/distributions/logistic_normal.py,sha256=5OsLccAnhwqf2TObTSSTWaZ7r0cKa6rvJOvEulA4o78,1954
torch/distributions/one_hot_categorical.py,sha256=xSHMJxaR_epHvCrbn4VPq7PcX8BhPWZxN-mwGpfsx5I,4373
torch/distributions/gamma.py,sha256=y7Rt8cbG-od5Zbx9Evx2X8QfTjskX-4fircwaBpiuSI,3121
torch/distributions/chi2.py,sha256=SgRNqYhuWgsHDzVrwSO8NUQE-rkNdf08pARTyrDoTdk,909
torch/distributions/binomial.py,sha256=hYsNveyEtQmjGB5tJsKGWnwdeq_MOM3mbJKcWnQcU_Q,5179
torch/package/_mock_zipreader.py,sha256=p9RoFqB6ZPSiB539-QhjH1Hzl084AB_CC4F5rU9qpl4,1306
torch/package/_mock.py,sha256=VXxon8AtkGrwxv_W2MXKclepaG3vc2g6P3b9qXlZNJg,2856
torch/package/importer.py,sha256=iasljrqXAm7WPSzBMc0ej_CbVSjKQlBzp56bAj-yjRc,19352
torch/package/exporter.py,sha256=RdWKtrPR0LZA1_7cug6XG1M4zAqZ9bfjYVVQXx7JppQ,25538
torch/package/_mangling.py,sha256=VAq52qZURptyyn7Aezb_6SEQ3sHH4-lMMtC5lKSjqtU,1443
torch/package/__init__.py,sha256=NoiElAGWNkCRgWtUxuqLfStXy9CS2hKXPXkoPCM5g5U,76
torch/package/find_file_dependencies.py,sha256=0tMoWP9gUTPLnJ9y2WOooHLrn97Howt3SUaXMM9gNF0,1459
torch/package/_importlib.py,sha256=gYidvXaFynnQLTf91y4RGWCKL3GjEOOqzFzfpk-P3Dw,2963
torch/package/_custom_import_pickler.py,sha256=be1sTDFokDfVgQ-P-mg6Zq53NFNdHUw1-ZPE3-zRpm0,6235
torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake,sha256=40Y2pUOW96L6jECWZ5GjJrfoRrY9m5d_zrQ9WPDXz9s,367
torch/share/cmake/Caffe2/Caffe2Config.cmake,sha256=kSbMwjnzlxX77-DyCCp4guTN736lWRUk848ifE4_hNo,5199
torch/share/cmake/Caffe2/Caffe2Targets.cmake,sha256=vhN64BPsaFj8dsbWq2eXcdDq0JlBmsRd5h8m7F4Chss,5834
torch/share/cmake/Caffe2/Caffe2Targets-release.cmake,sha256=qn3sd5HOfCMbar3T4UcbCLfDMQEPk3Ozx6UeVxA59LE,1636
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake,sha256=Wn9lj5lyCx2qd9gaHlNdoic-pyEVGQbwLoHIxSsyi28,1877
torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake,sha256=78mPFyIV7lR9kDJ8vAjJwKUDLpFhbssiLz5tR9CmDxk,525
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake,sha256=aLA1Dg7qyjW9Eya73fiwm2RqiG0FGwPOV64Sm5-Nobc,14902
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake,sha256=v1O1FBKmJWk1h-Zbh8M6qVlP4OqVsmCcYD8zwdVfb6Q,1657
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake,sha256=ekQeak1nweza23bcrt4Kx3zzxe52Gjkmkm9KdDOh7kY,89264
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake,sha256=ToKFxPt7HSmEA014cFkMZl79quM2gpF7tmcP8h1BuYs,1564
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake,sha256=Rt89jkdI8IcUkEOw_-FPcmMT8I5EHm8xwrxtvvoxNNE,3441
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake,sha256=VlPR80f-gv4s7T2-Q4n5vSfImPLn42-JkadM9m_1ws0,11960
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake,sha256=peqsyhSnvG9x-FiCfJnuqONuwqw98SAv71aPmwthnzk,11027
torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake,sha256=_KLZxL3AhZehZKubThy4o2C_gEH5mm4h3kMpxLHgajU,3925
torch/share/cmake/Caffe2/public/mkldnn.cmake,sha256=7kRy6hpdreI0uRvfojdgecw2ywbvwwyyoBaJoarIRXk,361
torch/share/cmake/Caffe2/public/threads.cmake,sha256=Wbnh7PtarmVmTrlcU96JYW2_n0cdkM2mLybs5V1GMe8,585
torch/share/cmake/Caffe2/public/glog.cmake,sha256=EKKFEDPCf1mmAOhmVmELtQbrqljrhAOga1HnVAe07hI,2321
torch/share/cmake/Caffe2/public/utils.cmake,sha256=kn_6AQMgfIPafaZEsiiwCgCTQGVEnKQIHvlD1nyNAxY,19321
torch/share/cmake/Caffe2/public/protobuf.cmake,sha256=weW3OuHBIqIt0KpWRWzAnzSCu-AJ9naUfkjxcvaRl5c,4003
torch/share/cmake/Caffe2/public/mkl.cmake,sha256=HIGmsZ_MmkXJ8O6JQfDkFWUDbCUj8FPuec7rA44EiH8,292
torch/share/cmake/Caffe2/public/gflags.cmake,sha256=VW92OYXNPffPp1TF2CmdrKHlvM40cOhpOedCh4h1jMw,2621
torch/share/cmake/Caffe2/public/cuda.cmake,sha256=G34DNS2WubfBSO5R4QiaihI99Tk8-ql_GXROCxJjEJE,22453
torch/share/cmake/Gloo/GlooConfigVersion.cmake,sha256=lVpxENuzMkHUzRrZs9ZaVwenOHxgOHM94mrY2353Roo,368
torch/share/cmake/Gloo/GlooTargets-release.cmake,sha256=gStMVIrHP0JITbocw_vfgJL32dbw9bVKdyQ99iqvlyo,819
torch/share/cmake/Gloo/GlooConfig.cmake,sha256=blpn87JUgKZTANhJdd4zPaoRRO2KiDVVFbq5_1pO3BE,1289
torch/share/cmake/Gloo/GlooTargets.cmake,sha256=NfwhFeyDWYB3XyMnIk21U8BS4F7CXBh0MpHQW8N5aDc,3419
torch/share/cmake/Torch/TorchConfig.cmake,sha256=qJq4iypgpPemi3Xo6ghMH_u89dU4Ah6_lO0Y0wk2Shs,5935
torch/share/cmake/Torch/TorchConfigVersion.cmake,sha256=bO9D8MNRLrQSX81Eh1kh2roLkEHMA1nAgLXwcn2takk,366
torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake,sha256=cPcajEpjigJ4_ctI3scq_o1vOyCJ7o3KLanVxAUvnZw,3889
torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake,sha256=qOEnpAf1eI_73mOo2TMpkbErJ1GxDkkRKjrevXVDnIM,1279
torch/share/cmake/ATen/ATenConfig.cmake,sha256=DXn98iB1HlC1vqB9zbWzHYl1udUhJHBWXn-PmdbBh3g,287
torch-1.8.0.dist-info/RECORD,,
torch-1.8.0.dist-info/LICENSE,sha256=8YbKx8g3AhynAKSWyCAw2U4XU60HVbeYYG8qMdfdqew,11508
torch-1.8.0.dist-info/WHEEL,sha256=quf8RxLgjIylnfqrGCSKZ-C3NK-T9dFsC_M7zWuOhYw,110
torch-1.8.0.dist-info/entry_points.txt,sha256=tBq08xjcH6FU5Cd99g_eDv6XmGLc7aO1BsAza1OiF0o,167
torch-1.8.0.dist-info/NOTICE,sha256=jCxnP6ep_x2hwAqF2eBGrnTjsPi9yy_XYG166yIkQUs,21804
torch-1.8.0.dist-info/top_level.txt,sha256=uHC5XEIL5DFf-nwoASf9DqxKXwF1F-MWCjhViLjmUHA,13
torch-1.8.0.dist-info/METADATA,sha256=lMQarrQz5gCvZ2RZbaZRMdM1DN7KwYhWdNnB0jUO1mM,23726