blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
3bb42c54f3332c3fdda8be00df68ec9fb020f3a6
e30f8b5f352a9c6563a4ac84d204db98140f00aa
/docs/1.10.1/_modules/torch/distributions/chi2.html
9972ec1b22ded1324cc679b5c122c1280a3d78dc
34,911
1b9b2b6f74a3a263f169319812de81f6cd4cf6c0
adec23984a2cc8fc48824b29bb10d4f0510948f5
/docs/1.10.1/_modules/torch/onnx.html
9972ec1b22ded1324cc679b5c122c1280a3d78dc
66,464
9988f50a74943e3f39304350a9a7582aa8bdf8fc
70b27b185b3ca2ab7aad5ffaadc3a737101572b6
/docs/1.6.0/_sources/generated/torch.nn.PReLU.rst.txt
9972ec1b22ded1324cc679b5c122c1280a3d78dc
227
e3259525a3573390beebd68a20cb4e4ba5f0065d
331a39274bfa5bad89265d3ffedd08df7b4bbae2
/docs/1.7.0/_modules/torch/nn/intrinsic/qat/modules/conv_fused.html
9972ec1b22ded1324cc679b5c122c1280a3d78dc
73,827
822e2a1aba4eda23dc0be1461a442b562bb4cd38
492132b42e855b59b42d99cc35e43a775f8460ac
/docs/1.9.1/generated/torch.Tensor.masked_fill_.html
9972ec1b22ded1324cc679b5c122c1280a3d78dc
32,807
8e5c0685761052d6ea7207ad47e355ba57a08237
0fada43903c03d77231f4a6d77551ef56ec0a069
/docs/1.9.1/generated/torch.Tensor.unsqueeze_.html
9972ec1b22ded1324cc679b5c122c1280a3d78dc
31,925
a21b2933899980417959ee36366c3334f35a89f9
f3a43980a349886315d0ef04624f3571795bf9cf
/android/pytorch_android_torchvision/src/androidTest/java/org/pytorch/torchvision/TorchVisionInstrumentedTests.java
99788ce9e86e658fcec40498b6918e1fe5c5c50f
720
0c5a426f2ae0f0263a39fcdcd4d45f0b63180c5a
c764cda19dd5ea20c783de3adb2092a169918cde
/aten/src/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h
99788ce9e86e658fcec40498b6918e1fe5c5c50f
870
b23bfe0a8269eab07dcdc685d5662b0a2d2030a9
2dc6149f797470e17317eed49f829a9f7cf08bba
/docs/1.10.1/generated/torch.Tensor.multiply.html
9986927e80a80028845ddfda0a0d7c3558a615f6
32,361
49feffe753d03d6c83453c034f6a64b64933407f
ed62068eee8a5aa1d93ab0ff56a4ee4b74099a00
/docs/1.10.1/_sources/generated/torch.kron.rst.txt
9986927e80a80028845ddfda0a0d7c3558a615f6
74
d7152122f127f3d1684eb171b6e33a966707fb6b
67e418c450e07da7fce53a7d4ab1d78a8268f0e9
/docs/1.10.1/_sources/generated/torch.nn.CosineEmbeddingLoss.rst.txt
9986927e80a80028845ddfda0a0d7c3558a615f6
272
92a11bd4c6113b907f5144e2b421be61468cb7f0
f7a6275a1cb54db2f44b4b4d2c17ba9ee441cfd2
/docs/1.10/_sources/generated/torch.Tensor.arccos_.rst.txt
9986927e80a80028845ddfda0a0d7c3558a615f6
104
2bc45ef18785a1b6355b016fea9961e6616fed87
2080503837302a7a7c93bdc1688f4973f553379a
/docs/1.10/_sources/generated/torch.Tensor.is_meta.rst.txt
9986927e80a80028845ddfda0a0d7c3558a615f6
107
c16dbb32fc3578e3cb5518bf3dc476a40bc815b0
e5acad84a2ec0969b63e9a1f0b1f1144f9198a7b
/docs/1.10/_sources/generated/torch.Tensor.lcm.rst.txt
9986927e80a80028845ddfda0a0d7c3558a615f6
90
da96334915cade89392fea89c7b81ea1a6bfb57f
6c4c52ada69fb7da072420ab9707d9abfa82fce4
/torch/csrc/distributed/rpc/python_resp.cpp
9a3cb2d3d4e90fde492a2f645da836e0c67d15e4
1,077
0696af6c75ffa1f94519feb5a512e989873163a9
73fdb0700144d607cf68954a216d09a0dc51e2c9
/torch/ao/quantization/fx/utils.py
9a3cb2d3d4e90fde492a2f645da836e0c67d15e4
44,735
035150bfb483f56973f2f18f8262d1fde5bf5c9e
5bf1ce2dcb28537a0f37939c686450292a92c930
/torch/csrc/api/include/torch/nn/modules/_functions.h
9a3cb2d3d4e90fde492a2f645da836e0c67d15e4
706
7f22f031c938fa61c8a751cc47e29fe2338975fb
2769e326c03e3b150402509b85f8e7e4db84d4ac
/torch/utils/data/graph.py
9a3cb2d3d4e90fde492a2f645da836e0c67d15e4
5,810
606ff1ca87eda7b70d29e6c420c5c46a1f609d4c
13548aefd8f26c70def3ec17c0cb16d7716d8a8d
/torch/distributed/_shard/sharded_tensor/_ops/chunk.py
9a3cb2d3d4e90fde492a2f645da836e0c67d15e4
2,186
e04d5f446e4496b0a1a95527b9fda03a3e1bd826
1cb349a840fe37b90176379e842c163cbdf89934
/docs/1.10.1/_sources/generated/torch.Tensor.log2_.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
98
8a68948b7c5719d310e36b518cefda701ae05e04
247f04d83a5a0dd86b04268d71929c62ba72dbf2
/docs/1.10.0/generated/torch.quantize_per_channel.html
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
37,349
46876920b545efe185ddc14869f60693e3a9f307
e8c4445f0db343ea4096b08cf7bed546c28c935f
/docs/1.6.0/generated/torch.is_complex.html
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
27,372
0e6b9cdcf3785536cc32f20d512fb53d1a98ee7b
e2c52ae16a49dc50eae3a9a85f849e5cdde53f11
/docs/1.6.0/generated/torch.nn.Dropout.html
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
31,753
a586469004a89b232a2a097a7a9ed0569563f43f
b6413a2af35c57b036f18906c166c63dbb11ad75
/docs/1.7.0/_sources/generated/torch.nn.MultiLabelMarginLoss.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
272
ea11d25d50f02c9c82e67bed35d35379208a2d19
784143b076afa1d51907907e1261bae8f774f216
/docs/1.7.0/_sources/generated/torch.pca_lowrank.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
94
725c3dc89dd04523c0feb81c178ed285139f3ce9
e673e19e07db5ec4fa947ecf8702baaac9c8c624
/docs/1.7.0/_sources/generated/torch.logspace.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
83
725c3dc89dd04523c0feb81c178ed285139f3ce9
e673e19e07db5ec4fa947ecf8702baaac9c8c624
/docs/1.7.1/_sources/generated/torch.logspace.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
83
aa3489b5aca2cdcb6148a2fe44ca199620ecf27e
589dc211d3b6ebe5e7946b26eaa9e872f0fcc6e1
/docs/1.7.1/_sources/generated/torch.nonzero.rst.txt
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
80
ce94701d3bc45ea2a3d1ce017d3c4b61bbbba7fa
be8b94ef2cf67402839eb3a4e91478f8621e26fc
/docs/master/name_inference.html
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
160,067
8f10c5203bb0b7ea9a793b6e9c382241ba4a8a7c
25d281fac73a529263c2b3a8aa14fcab1c4993e8
/docs/master/generated/torch.tensor.html
9a487f5cd83c69c08e1d83629fc8aaca1e43d18f
40,946
baa41ee963ccd0dc525cd264732ab6b33ae38bbf
3affd71d9d3bee1b22dbce04f2803410150671d0
/docs/1.2.0/_sources/checkpoint.rst.txt
9a4d38187594b6fb666f50b5360e5576aefed04b
1,532
6227586def62b25d290ce72e37b52234282dd257
30e80ebffb6e94270c728480aebfddc01955940c
/docs/1.2.0/_sources/cuda_deterministic_backward.rst.txt
9a4d38187594b6fb666f50b5360e5576aefed04b
218
7d02cef4f3008c2412a96c7059f48df96abb2be6
9beb758e6f51f766d5b590ad4d196029139f00ef
/docs/master/generated/torch.manual_seed.html
9a4d38187594b6fb666f50b5360e5576aefed04b
32,391
2e6a2a0b08583bfb158103d35919489e8d734fab
0dadd43159946ecc1070d2941f66321a021f0212
/docs/master/generated/torch.var.html
9a4d38187594b6fb666f50b5360e5576aefed04b
37,780
71b7187316c2fd4e00dab10443a9ef4e4067d6b4
61f16530d9811912a42050f0e6b5138f9dbaafc8
/ignite/contrib/handlers/trains_logger.py
9a9cc0a6e054df71b43565e9237ac2954b2a8904
29,217
6f870cc55bc1f85fc5fe5fd345c476a0373c3e2a
4f7a0689532737447b3dde7f0784f10e2a66639c
/tests/ignite/distributed/utils/test_horovod.py
9a9cc0a6e054df71b43565e9237ac2954b2a8904
8,581
60f67c97390bc4a1b6a61a1482a4db57d944a0a2
ad488d303d46329ba198d7f077b617704655b3b6
/torchgen/api/meta.py
9ad0500137a591b10c18d03951fea236d0823106
482
2a04a0b4d524fd056e57e98a0700803743f8a35a
dc962f956427ec6f6e6b1d0580a1d5c73bd9cd29
/torch/nn/intrinsic/modules/fused.py
9ad0500137a591b10c18d03951fea236d0823106
901
bf54c900b12a28fb53387f1408233c124e7646e6
5a96c2f60b72d510b3b34dbb65f28de9b39352f7
/caffe2/core/net_async_tracing.h
9aecde524e78763144519224b750bc674ce3d4a1
5,093
0879e5e53c2e07cbcf418aafc7903bea7d97c319
6daee63c66754e28fe52f96a582c0d76565fad43
/docs/1.11/_sources/generated/torch.Tensor.atan.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
93
148ba0687c4ff596b43d9d41fcb47cc19d5b6f78
80a32ce27ee41bb0c9aaab3011b48f03452db095
/docs/1.11/_modules/torch/distributions/transformed_distribution.html
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
62,451
299e9f8877eae331e896553c32204b5ab5ed6a3e
de15468c7b3408394704725c15b2999020dc098c
/docs/1.11/_modules/torch/jit/_serialization.html
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
47,915
8edfc51efc1479caa39c0f20784e9eebb7018261
55fc79ba174fe2ec03125ca0f93c5280c0d49eff
/docs/1.11/_sources/generated/torch.quantization.fake_quantize.default_weight_fake_quant.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
314
171947376621c927cc7acea652cd79dfd78f0294
d707f289a72e60d15ee04f49f0334ebfb4a31c07
/docs/1.11/_sources/generated/torch.block_diag.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
94
dae05626a0dc15744c294be03ca8efd228905a6a
87fa1feed42cd33072abcc82acba28316a9c6d56
/docs/1.11/_sources/generated/torch.optim.lr_scheduler.ConstantLR.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
242
92e0a4c3c27a5f43afa2e57da122b18a067a2f90
9cbe5de72f16a708bfbcac102af3a3724679602f
/docs/1.11/generated/torch.nn.ConvTranspose2d.html
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
94,617
512fff853f588214ab9356caa615cd7dc7c2fead
de2c06b600f00178ec0ae5140ba13565d9674113
/docs/1.9.0/_sources/generated/torch.Tensor.unsqueeze_.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
110
de2e3b1401a4f5cab5483298f58e7ed11e262528
98955e7d06f4a1482cb9c9692ff9810e9d289ee8
/docs/1.9.0/_sources/generated/torch.erf.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
68
7e0084e99d9ddb0ac27ec7e782c96d0cebd53771
31f46e7d41fabf4320c45c1e5fb9613cd28500dd
/docs/1.9.0/_sources/generated/torch.bitwise_and.rst.txt
9aeee2a887fb2dc2b4bb001ad60b4b0b2daf4df4
94
50a9774ecb99472462bf092b87919c6a9329f53f
e80f88592e41a1b08086379f11a30a5720eda00d
/aten/src/ATen/native/quantized/cpu/qnnpack/src/average-pooling.c
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
9,584
a222d897499307ef792b25d3fe9cf528590627c7
19d54a66caea40c7e6ef31a7ae1e6b54fc4b76c9
/aten/src/ATen/native/cuda/modified_bessel_i0.cu
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
1,517
8dadfe2afbf6bcdcd7b43d944486db9ef6ba3e64
b94cc9d49f726191937f76ca873ca54279c6f9df
/caffe2/operators/onnx_while_op.cc
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
3,351
efc1aeed7ee60ad14aaab5655aecde1eabe7b8db
7f8e77125b9e913e0e79c843740d5122e1bcbf29
/caffe2/operators/relu_op.cc
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
4,055
f7f7a7b1c9c9667b201f834c5caaa8672fc0bbce
6b0654d6f26e944a3a3bbf9a97294fb9aa2f7be4
/caffe2/python/control.py
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
19,309
f6e0f705cb9f9923386766ebdabe0679048be491
14d93a0df6702180d65bd023b466cd0abdadcccb
/caffe2/utils/signal_handler.h
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
698
a4b61e87a4af0bc0da6fd4d6ad2b8ff915bd07fa
ca3d7fd859b6738e6eb6dfc1fa2100275bc8df05
/caffe2/utils/math/transpose.h
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
785
eee5841ee827739b96d4d83ebc7e0dc70174bbd2
cf65d9190d23f3c7c0ac66d80e5110dd8cce9e1c
/test/distributed/elastic/rendezvous/utils_test.py
9b0235e2d1a3d3fc8d0e40ca269016df2e18a325
12,429
7b61968e6bd890204ea42292c8209d0cb0dcda31
5ba94ac3edb9ae67208064fb3725a7fdb5abbe27
/docs/1.3.1/_modules/torchvision/datasets/hmdb51.html
9b1779a2c5b752250a2b3f0b2db79ad1e162ceaf
41,492
4058c4631e15273f2df58229463d82a41e240d63
59df826de48f093bd8d03c9a7825b4e4516252ec
/docs/1.3.1/_sources/nn.rst.txt
9b1779a2c5b752250a2b3f0b2db79ad1e162ceaf
13,840
3e0254905e938b862605e628250e2210137dcceb
73def2f3f731f28aed12c7db86902294466c0bf9
/docs/1.8.0/generated/torch.arccos.html
9b1779a2c5b752250a2b3f0b2db79ad1e162ceaf
31,268
4d708025ac0cea8597a6f57320a22a91455506da
3c7f16bc69bbd00e59998fcb407343f0dd2f9364
/docs/1.8.0/_sources/generated/torch.nn.utils.prune.remove.rst.txt
9b1779a2c5b752250a2b3f0b2db79ad1e162ceaf
122
f6a1752894e97d3731d769e96546579cff381101
025ffd4e440b4556512102b7810be92a32a919e0
/datasets/app_reviews/dataset_infos.json
9b17faa18b9da8841354dd8d28ac0962827d7f13
1,681
98fe94534d85ac506afac72bcd109eadb0024c32
a74cc709f686edf7b517f72c3806b0cca4d4055a
/javadoc/1.4.0/script-dir/jszip-utils/dist/jszip-utils-ie.js
9b1779a2c5b752250a2b3f0b2db79ad1e162ceaf
2,444
6a3e879f1cd06f52d39210e5a313de4a4970b1db
f379b5d97a03c9d8b081d328c4cfd30173329a52
/caffe2/operators/batch_permutation_op_gpu_test.cc
9b27ad04b736e80cb061d1cbe97183e450b170df
7,903
de798956a8a30b9926e7f25f6f2f569589946ccf
1371bd0e21e62d3fe0352b8a641ff56aeb8b03b4
/torch/ao/quantization/fx/fusion_patterns.py
9b27ad04b736e80cb061d1cbe97183e450b170df
4,263
72af1a6aaa8a771a47a5b89fa1fd3aea78c0f01f
2c5d9241d2bb87401a91fe122d230924c9fc04c3
/torch/csrc/deploy/interpreter/third_party/README.md
9b27ad04b736e80cb061d1cbe97183e450b170df
105
62d34d747b85202415c757d16a510425ace74fed
a7e01570a22ab5780f6f37dc966955591e92328c
/caffe2/python/operator_test/dataset_ops_test.py
9b2829cf090aedc05962dfb9320cde2467ec3f17
23,847
fe003f8655ec501eac1dba885e71c02b8fd25332
7daa01c70846d9b8d404d18a7aa760c8dda784db
/caffe2/predictor/InferenceGraph.h
9b2829cf090aedc05962dfb9320cde2467ec3f17
833
ab3cd0da8e77bee1e16e0a0b4e87763a9f95a3e9
d7a9f13809d67e76b78745c0715fd57a608a120b
/torch/nn/modules/activation.py
9b2829cf090aedc05962dfb9320cde2467ec3f17
51,307
e09426b4205b432063dc04e3df044dee9620678e
06bc2309975caf6197bbe6ff0c3c4cffeff7ee51
/torch/fx/experimental/normalize.py
9b2829cf090aedc05962dfb9320cde2467ec3f17
5,478
940bb73dfdd18fec984dfc7710b3fa7256724a54
4573151072cfb67635494b4e21b1c5c8af67fe7c
/docs/1.5.1/_modules/torch/distributions/pareto.html
9b3b7adcf78cbd76f95144b9e566692f16130e5b
35,244
8a23796a35cb44b1e4d903112d76bc2721d8a098
18317df53c57299778b67ae68f063e56ff0b81cc
/docs/1.4.0/quantization.html
9b3b7adcf78cbd76f95144b9e566692f16130e5b
325,131
7c55605b4c5bfdcf8526458c4c1c6f4a4e9779fb
d9051d930a04ed99fda7136200c455bf6d71e9cf
/docs/1.6.0/_sources/generated/torch.view_as_real.rst.txt
9b3b7adcf78cbd76f95144b9e566692f16130e5b
99
bd1ebcf434e8a74cc3cc8726d3b8813522135282
5c7e6a0516319a348f43217bf379602e85ed56bb
/docs/1.6.0/generated/torch.ne.html
9b3b7adcf78cbd76f95144b9e566692f16130e5b
30,705
4edf9ed8a34a6e2357e72f1d2b0d010fbd401be3
77cf3695ab9121240833c507a1777b8143ab6c20
/aten/src/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h
9b40e6cf0c120f956914ee89a50b802f79a2650a
20,165
4628f9fd6d51d23175119ecae937c9229b7c915f
7ac10378b0bcde74f097a82de40986980f664364
/aten/src/ATen/cuda/cub.cuh
9b40e6cf0c120f956914ee89a50b802f79a2650a
15,358
98e7839824577f705adb72eb87584cf477853478
60c9ff0ffa88a250fcf196ca86aaed3fda0b187a
/aten/src/ATen/cuda/CUDASparseDescriptors.h
9b40e6cf0c120f956914ee89a50b802f79a2650a
6,905
e8be2672131a7aafb65891b9710063e5860f7cf8
1d6ff4487b8f6d74ae73d7486b7ed272f5a2f0b6
/torch/csrc/jit/codegen/cuda/executor.h
9b40e6cf0c120f956914ee89a50b802f79a2650a
11,138
751a1c0a2b96efd9c6197dc54e1743042a8c93e5
18bf25f710231fbe1bae921e74ad13fa57539cb1
/torch/nn/modules/linear.py
9b40e6cf0c120f956914ee89a50b802f79a2650a
10,601
ff1ce652a549026c1c3237df2d4d9faabb7fd557
521e409b2b6422b005e1b2de87ba31f261ce6590
/torch/nn/intrinsic/quantized/modules/__init__.py
9b40e6cf0c120f956914ee89a50b802f79a2650a
253
f8bbeb5a9388237963ef83525fb01c6e9f70cd9a
23df3d192fe9aa8d18bdccf1930a4e1518d3566c
/torch/csrc/lazy/python/python_util.h
9b40e6cf0c120f956914ee89a50b802f79a2650a
337
93e82b8f9ede795bf1b498d418b6d1774e40ff8c
885454c432ac49640e296cce821844f7736b6c17
/opacus/tests/grad_samples/instance_norm3d_test.py
9b7df7019f1f64329f8aeae1c4f02b6af5ebc399
794
cdb8434687fb27a33400dc79d393a074daaf2b61
76952232aa8c7193ae3e3c78412b01702ef54ecc
/.github/workflows/bandit.yml
9b82010a4d29e68879f51750c656466c24646fe9
441
4e9f2144462ec4a6ad2286313c626674b55e9986
5ab4028c889f924c0bc68f3cbdf8baa24cac3f07
/docs/1.10.0/_sources/generated/torch.Tensor.cumsum_.rst.txt
9b8881e4de4eebe4953ec821f8607036dabcc9c6
104
4351df7c48a69ee0323fdf5372a1657d6c607d06
c675ddccf747d224ed64a73a430f978690c46bdd
/docs/1.1.0/optim.html
9b8881e4de4eebe4953ec821f8607036dabcc9c6
104,467
3390db763eb90f8122a3c848d64c6e4c97e3e21a
e88fdaa6ea94fd4ed305c7014606a992eca597a2
/docs/1.10.0/_sources/generated/torch.Tensor.backward.rst.txt
9b8881e4de4eebe4953ec821f8607036dabcc9c6
105
3b8cd177e147e6e8ea40f436e6d082833f65dfcc
6cffe5d7ff4594decb3f09f40ff02eec71a5ba98
/kubernetes/Helm/Chart.yaml
9bad9ac9ba51afb11ef1d43b94eca34f749306cf
307
7b7ef6881c4356c1617b78c21e81db11e096a429
045fc3a47c0e775b203252207894d6960036b623
/test/mock/nexus-s.h
9badcf887ebc9656785d9dc0fdc05560b4c2987f
15,533
56e2804c48d224dd817fbf7a691fdb46bb817a14
3f4038685da45d22961775b2505b622572239ee8
/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp
9bd025e730cbd0a0b196c06517126c8f4ccbdda1
18,616
debed231872a894046e92227e81a1348481e8deb
ec997d86aa1b593dc0cf8cea4afa3bb5c5d8ec53
/aten/src/ATen/native/PackedSequence.cpp
9bd025e730cbd0a0b196c06517126c8f4ccbdda1
9,190
14356ede1f921521043e254c968916e07a3e514a
0e9fc7883c6277fa243c36b525b769956a1ec883
/caffe2/contrib/fakelowp/unary_fp16_fake_op.h
9bd625b6a6d1595359c1b43ecb564d160177f787
2,211
d58fa14482da3c25d33f0f461aec950af6b5ad51
a1cbb07ddc4841d3b3de412746321d81830b95ed
/caffe2/observers/CMakeLists.txt
9bd625b6a6d1595359c1b43ecb564d160177f787
582
58a3343e2e1d21feaea5c339b34ec2aa74518a3c
4d4e3aa4b5bd001fbd5b571e98c8bd1fcdb56f33
/caffe2/operators/minmax_ops.h
9bd625b6a6d1595359c1b43ecb564d160177f787
3,880
2b570f8538778e8e0d6aa3d2bcac490bdf628450
c476f7166b8736185dfa85652a71965205bb8a3a
/caffe2/opt/custom/concat_elim.cc
9bd625b6a6d1595359c1b43ecb564d160177f787
7,559
9353b96b63fc471af1e009acf9a384aec6184f2b
e4ea4eb199322b8e0584c6c71261e7488bea86cb
/torch/fx/experimental/unification/multipledispatch/variadic.py
9bd625b6a6d1595359c1b43ecb564d160177f787
2,940
094431397af4a8eb33dbf7eddd16f4e83d6365b6
717ce5e139fe0afebb8090933bd151053ba7b531
/torch/onnx/_internal/diagnostics/rules.yaml
9bd625b6a6d1595359c1b43ecb564d160177f787
2,842
17f70d92a10b16bccfdcc6acad5353c023684466
bda5defab29e8ea20842ac538d7a59b1ca967e11
/torch/utils/mobile_optimizer.py
9bd625b6a6d1595359c1b43ecb564d160177f787
6,264
b75fe2d5fc855b821d387e4cbf9657ca20f1d522
60e9fd5f612fbd2a821580c4a404bfddf7fefd97
/docs/1.8.0/generated/torch.hann_window.html
9beff149df9e8d9a8bae3cbc1d0666260986e159
46,182
1b40bd6722bafc6735c58af5c02c96e3ee5f7d6b
6f4bb94925d7f53e94dd294284c6bbbad6361cc7
/docs/1.8.1/_sources/generated/torch.det.rst.txt
9beff149df9e8d9a8bae3cbc1d0666260986e159
68
76be76e54524d8ad4c0f58cc172606ccbb0a7720
ce7c8f4527fd17e3d43f2f3ed51a6828866101d5
/docs/1.8.1/_modules/torch/utils/mobile_optimizer.html
9beff149df9e8d9a8bae3cbc1d0666260986e159
50,496