blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
6af18b6266e796b352b874e8eaf382927054a356
e10f9d6831f5b2cd165de013cf4221faf62595eb
/aten/src/ATen/native/cuda/SortingRadixSelect.cuh
487693f23194e0b87cf24087fc4741e7abc6177b
12,027
28895610d6b603663e9773e1cfc22d896758fde4
7101137112c1deac6560f9241670eea064296813
/aten/src/ATen/cuda/CuSparseHandlePool.cpp
487693f23194e0b87cf24087fc4741e7abc6177b
1,625
44db89317d153f5c2fcc11c359a6ccce8a1ef2a4
ae4d4a01aa00d99988492c62a6451ec9f27e00de
/aten/src/ATen/native/cuda/UnaryFractionKernels.cu
487693f23194e0b87cf24087fc4741e7abc6177b
6,895
9e37c343f441ea56ec48a25740f8817a4ecbc297
cb07a96fa0f761ce7486948640c06dfc661b1515
/caffe2/python/operator_test/sequence_ops_test.py
487693f23194e0b87cf24087fc4741e7abc6177b
16,051
293fc63256cf63cd13773fb810e5736a09d97f28
dd9e77f2616594de771210b4e6ae249c7f80396e
/docs/1.6.0/_static/images/chevron-right-white.svg
4879169ab8dc8b369cfd2880e94be06752e835ae
937
60cc7fa72b6751e9b066cf03ca513469174718ce
ce7e0dcdb53d480a9e43a02ed6172db520cdae07
/docs/1.6.0/generated/torch.mm.html
4879169ab8dc8b369cfd2880e94be06752e835ae
32,147
f9d70e0fe4d99c5040c117dc98dd6c4a408389e9
d9127908d72382f28552eb21943a4aa69965280d
/docs/1.9.1/generated/torch.Tensor.tril.html
4879169ab8dc8b369cfd2880e94be06752e835ae
31,834
0fc42383936d64e6fe116b781bc3d1df08ba5db8
bd5ce90c600138a09dc3f985db73db06f966581f
/docs/1.9.1/generated/torch.Tensor.reciprocal_.html
4879169ab8dc8b369cfd2880e94be06752e835ae
31,942
7957f483a00caaa9e084237f496bdc2188754fea
9298d3afd0e065b65f06833472c4985f12fc3927
/tests/images/npy/input2List_4D.txt
487fbb40e1db6e4cec9879171da96b5325462092
39
c5061551831dbe6a9b261f6d4cf57d1f71e31427
c70500914df30b583632a04a4f5e365f0730df1b
/torch_glow/tests/functionality/to_glow_num_devices_to_use_test.py
487fbb40e1db6e4cec9879171da96b5325462092
1,621
811f4ef591e1df8c5cdaba5d472634a300f419ba
e36ec598f063ce9cc7f2fcd0bfc1259977d70e59
/docs/1.6.0/_images/cpu_threading_runtimes.svg
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
11,741
fb9a75843b55f2a82cc4245af92322f4b635597f
5e5300038589af8b9a88c09834c2fae7feb6f389
/docs/1.4.0/_static/img/pytorch-logo-dark.svg
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
2,080
9ecf64433118f9ecc00fff7ac1b404455eb3d7d8
205195f59f6bcc71a4e8ade5b7a84da3620cfc4a
/docs/1.7.0/_sources/jit_language_reference.rst.txt
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
24,178
eed09e740ed5ac972c01f9d23cd3d334e0267d2f
ebb0df86773376bbfe737eaf69bce88b53098322
/docs/1.7.0/_static/images/search-icon.svg
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
1,703
e67b5128f559e07b2e921511e99b07a59ae459bd
dee7e4605e390910d515de61342b12da14218dca
/docs/1.8.0/_sources/generated/torch.eig.rst.txt
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
68
b004ed6e93474f653a406df5534f347525c9ddaf
7f58e21554d7b4fb7fd39d1636e791edef6870cc
/docs/1.8.0/_sources/generated/torch.cholesky_inverse.rst.txt
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
109
18e04f9585f94d7c717f969e50775f33aaa60336
07b75cd2a635b9bb0c49b6b8da6fcab8d3dcb26c
/docs/1.9.0/generated/torch.Tensor.sparse_resize_.html
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
35,582
329f06dd4daa91fefbddefbfeabd216eb17e4f45
1290d20f90120779254f6dc52c0301bf4ba2319d
/docs/1.9.0/_sources/generated/torch.nn.functional.max_unpool2d.rst.txt
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
139
ac52ae31a0c6eaffced165be6286f4155c971021
dee4128975b14b4e89ac04b8acc7ab51dc49aad9
/docs/master/package.html
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
175,511
724b913fc0ccb89f9f07e73a8e243bf387cca704
1b1de1ec1d98090f97a4d7dd1adec38a4acb3ba3
/docs/master/nn.html
4883d17e9702c8bf0bbc8870fed9f73a09a9b4de
167,718
5f10b576ca2d4e0f98633f622d9380b24f32f74b
3089cfff04f8efe6547b628abf2f3defebd77453
/torch_xla/csrc/nll_loss.h
4887dde9587e13dc0de4e9b826b315a97eb0ae51
804
2bb4bf38ebe86299e2ff96d348e458213eaf0939
3561dc50ea9ef0ba2f45f59b0bc13ac9da55ac93
/contrib/colab/DC-GAN.ipynb
4887dde9587e13dc0de4e9b826b315a97eb0ae51
23,060
c5970df2110cba70268c7f7ea7f5f12a15886892
34e99ae57a59d1a49bee741ab7fe5c8daf912631
/aten/src/ATen/native/cuda/Reduce.cuh
48908553f32e001783eb6fa4ee9d359c8833ca62
46,399
7f5448dfdca1701b4daa917dc599321dd0cd8831
6dcfc6c7b3cd151f6a4c6d9e6b30b31fc6fd362d
/aten/src/ATen/core/Formatting.h
48908553f32e001783eb6fa4ee9d359c8833ca62
686
e937232d2e63ba55e9b3826cd8d8cecbc05c30bc
cbead90b55ce563a1a3d77e5b34fd4ef4ac7435d
/torch/csrc/api/include/torch/data/datasets/chunk.h
48908553f32e001783eb6fa4ee9d359c8833ca62
19,297
2bc8075904d58050bb64a008ca16422198a2bf2e
1fe1535a6cf12308b4c72658def3c0bac9d42c75
/test/test_per_overload_api.py
48908553f32e001783eb6fa4ee9d359c8833ca62
2,524
c76c6bb740be2c498a1df6623aaffba589c70351
3fb456f618a5fb28765623bc61ca4c553d93793f
/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h
48908553f32e001783eb6fa4ee9d359c8833ca62
3,228
b06089c0f9f9e8fd8dedf31a0d406acaa9b77692
60f752a2c67a661af608b06d3fad33b446f70bb7
/datasets/discofuse/dataset_infos.json
489fb11ed1d308874e4260cdee8bfd299fd20514
4,280
ea0e99da418487db85eeb6c254106b966d247445
d42ba2a067cb6f8ff4bf0e15214743cca8b65202
/tests/pipelines/test_pipelines_depth_estimation.py
489a0811c5fcd2dd5bba7c23f846a2cde9047352
4,060
e9d76b7a00d9f972f243707a8d8dfc347633e845
0c69fbb15224c912f90f0d219ecce382ad03b0d1
/docs/master/_sources/generated/torch.linalg.matrix_rank.rst.txt
48aa62ec36cb4bce788bc8f921a6b8ff88db182e
118
97cb44b7232d53e68fd0d9d3d350e0336a128772
790898e98c8ffee84ea014fa5c633f299ddf5bdb
/docs/master/_sources/generated/torch.jit.ignore.rst.txt
48aa62ec36cb4bce788bc8f921a6b8ff88db182e
92
ef3fac58c0cf947cb931ca656b32616ba4fb7867
8c72d837a29cc9440569f2c8c7f58cea841df4b1
/docs/master/generated/torch.Tensor.unique_consecutive.html
48aa62ec36cb4bce788bc8f921a6b8ff88db182e
33,999
c9c1bded277d6e2fa6f5b1725b1ed8dc71004d88
56d507e36b3d2e1e070d3469b9c4a576fa077118
/docs/master/generated/torch.Tensor.is_cuda.html
48aa62ec36cb4bce788bc8f921a6b8ff88db182e
32,927
ea87cbd5a01890a5aaac58c01d17d69db9b08cda
e02884b9ebff56b30987da896cc517188ace3f89
/docs/1.11/generated/torch.Tensor.frac.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
32,836
addc9cfd13d182ccc607db4a903c4391973b2429
d010305c77a789cdc17a67bb7bbc8f20fb35e681
/docs/1.11/_sources/generated/torch.nn.functional.unfold.rst.txt
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
122
7b43756e2f6c51e74ef2b25fa35df4448c6e2e5b
99db8fcc10629888cf788f061f19c88a29621835
/docs/1.11/generated/torch.Tensor.scatter.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
33,189
51f65ce1b90f328e5cc56d89df0c825791ef2e0e
c3dbec6f28d330658fe4ede7657fb45b6acaa823
/docs/1.11/generated/torch.mean.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
40,881
25e6b44744723688bcb13d21b13a90a5949fbc16
c45e3157c7fcb16b4a0f37553e35b9b856a243d1
/docs/1.12/generated/torch.nn.functional.max_unpool2d.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
33,360
20c78750ed4e5eba3503dc3608d76f0dead8ec16
64fb2a2e4431c8d50b1713cb92309cc7656e0fa3
/docs/1.12/generated/torch.nn.GLU.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
40,687
346a3164578993bd1a4d85115977fd2086fd1ba8
4fc69d800051036e306d3141a0bdd55b2299174c
/docs/1.5.0/_modules/torch/onnx.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
50,094
52f8b0513301848798c7360dd4956acf53f85cdb
eca9f104728ea363dfe1e6d4b7e7f0a2153efb62
/docs/1.5.0/_modules/torch/autograd/profiler.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
140,706
55fe932f8b7d53faba23e9761b9a0a3cdc1e8af0
ba2ca80a1956fc9cb78120668088a90b9a9aec8d
/docs/1.7.0/generated/torch.nn.Tanhshrink.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
31,123
e5692e09c6d6c5c3dac287c11a7d6a7970e1e198
35bffd33198276ad8fc4ca04baf201ba3bf7443e
/docs/1.7.0/generated/torch.nn.utils.prune.remove.html
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
29,732
1ac77d3c493c36576d9c43a51f7a0998c2206229
f4e9df1b79d8daa70830920264cecae6070860f5
/docs/1.9.0/_sources/generated/torch.nn.utils.parametrize.ParametrizationList.rst.txt
48b9d623f438c8fe9f6eb9c42a52ac5ef9b9d206
287
922af1718f682bc60281a32f04faf8f768b7ff96
33d440a8195ae82795149e6b799671bf1543b596
/docs/0.2.0/_sources/notes/cuda.rst.txt
48ef37916e6e4354d580d6883060157878c9e73c
2,983
c72c1735b4d903d90dd51225ebefb8c74ebbc51f
f6a6a99e60ee9a5ce4d0922a3a82c6d81c1db7f2
/docs/0.3.0/_static/jquery.js
48ef37916e6e4354d580d6883060157878c9e73c
86,351
715e3cc8bdabbe983724812c3d543750ff70e5c7
5498a5134bd02b0362edd88b54294fd6a80cb1e6
/docs/1.1.0/_modules/torch/distributions/one_hot_categorical.html
48ef37916e6e4354d580d6883060157878c9e73c
35,234
f140b5f6a7e6d6558b1bd21b354ecb7a462203f4
9c644034b5f9fd9f4041120b081be89bbc3a62c2
/docs/1.3.0/_modules/torch/multiprocessing.html
48ef37916e6e4354d580d6883060157878c9e73c
28,220
fafedf7060a80f3f240f521e4d7daa59fb3a3758
13f0d3b3794c9a9fc826e1f087c8c8a5419045df
/docs/1.3.1/org/pytorch/TensorImageUtils.html
48ef37916e6e4354d580d6883060157878c9e73c
38,867
14ac6825a34f7407b00dfb47634f3f3f2d1e266b
a34b0d7231fbc0f7ebcd38b35dcfff706a83dffd
/docs/1.7.1/_sources/notes/cuda.rst.txt
48ef37916e6e4354d580d6883060157878c9e73c
16,548
5c5d5c79e6894e950a8de3dcb34d5db89693c85a
b6e5a1be28caf58feca6cc2133e7e9545ab1c668
/docs/1.8.0/_sources/generated/torch.igammac.rst.txt
48ef37916e6e4354d580d6883060157878c9e73c
80
6acf29ea3365367d139074abcd14f31e15fb8e5a
e3e56352c1be26a6b6aab2db915efc2509dd1d68
/docs/1.8.1/_sources/generated/torch.isclose.rst.txt
48ef37916e6e4354d580d6883060157878c9e73c
80
5257b7a5a84534ccd80f3d307f336912a61a2f95
1058ae5cc01d27b40f47738aa1f899c7dcc489ce
/docs/1.8.1/_modules/torch/distributed/autograd.html
48ef37916e6e4354d580d6883060157878c9e73c
35,197
838d1b647cf61f6ea42ae127f501ac2675639824
31f6ca824dfe825f7bf474ab63c8b1275f30d184
/docs/1.8.1/_modules/torch/nn/modules/channelshuffle.html
48ef37916e6e4354d580d6883060157878c9e73c
34,748
cf9934cf60853a20de39dc4325788b7cfc7a0299
afea404d70689298242b78d4d5fe905d6438c306
/docs/1.9.0/_sources/generated/torch.get_num_threads.rst.txt
48ef37916e6e4354d580d6883060157878c9e73c
108
46ed883fe17ef9a9cd6f2ccd9dcf77b40ba90ce3
33390e5bfddc983b248cfbd5305c1f027d949490
/docs/1.8.1/generated/torch.where.html
48ef37916e6e4354d580d6883060157878c9e73c
42,685
106f894c0fef3b324444f598137d63b93e18691d
2dc0d33fa6d66fd03ddd3c9db307d8f486c9f1fb
/docs/1.8.1/jit_python_reference.html
48ef37916e6e4354d580d6883060157878c9e73c
66,734
3262894174fe29a0d826758f9a960f09c059a1c4
9bd80467fdbf5a71e3c1831cf2ad335886083d9a
/docs/master/generated/torch.nn.functional.gelu.html
48ef37916e6e4354d580d6883060157878c9e73c
34,673
1132cacb99119bde2dc8aacf7aec542ddcc9efe8
53d9828e6c0b56266edf07628e0b15c9c56356bc
/docs/1.10.1/_sources/generated/torch.Tensor.sub.rst.txt
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
90
92fc3ad701d3b0d7fd5110ee821f875f1b7e27cf
a5329d74d334cb86503a5d5e9b24cfc9fd23db31
/docs/1.10.1/_sources/generated/torch.Tensor.cos.rst.txt
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
90
d8d73d7723417b821f38040adc4d16684ab724e8
cf51989707a9e06d414123a235080908d5b2a23c
/docs/1.10/_sources/generated/torch.lerp.rst.txt
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
74
48d00b757f9f64d8278d2fe9f311946e0529dfaa
2152635e381071fb97023f2215c352a107a160ae
/docs/1.10/_modules/torch/nn/intrinsic/quantized/modules/conv_relu.html
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
57,867
4603ec3716ac3761a6660d6074837001c24d6dad
74bf83eccd0cf8523a92ff11a73730f72ec41353
/docs/1.6.0/generated/torch.neg.html
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
29,376
4cf835f46a624521a90c1fbc39759125ba94bbb8
dfb1ab0698b06e896a8df694fecfb96ee9f87d78
/docs/1.6.0/generated/torch.nn.AdaptiveAvgPool1d.html
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
28,408
6e6433b03796b2c6b8a049590e86304ba756606f
b66a0ea0fc9cd6a581014b12b80636b6cd7590e2
/docs/1.8.0/_sources/generated/torch.inner.rst.txt
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
74
8362c5750af4d5f88605362a2cc3558ec8453292
77472b77bc39d524e645b58cebcc737b7d91fd14
/docs/1.8.0/_sources/generated/torch.use_deterministic_algorithms.rst.txt
48f22a04e1140d2f3938bba1bf1e2c9cf238d65b
147
7195e3bae7ca482cbfcf3f8f9619f2b6a130092b
c84165e67ec338e81b0274f31863b09f06d596c2
/aten/src/ATen/code_template.h
49251fa3710346f361b1ce5f11ebd020c8fd2772
7,053
2b1b55ee2da6e466591118799315e09dca982818
4b3d25717307758f299048dfd52cfad0f8ae1d3b
/.github/workflows/_mac-test.yml
49251fa3710346f361b1ce5f11ebd020c8fd2772
7,303
e102de07987be1ab0607316ac7a41612cb57c98f
42e12d9dca9f6c768dd783458e7c68785c660c2e
/.github/workflows/_update-commit-hash.yml
49251fa3710346f361b1ce5f11ebd020c8fd2772
1,729
24035ba64479f049c817d4cbb9f484fc3d49c00e
f9e2487970c40c8fe5f802769b1be1ff2cda13f7
/torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py
49251fa3710346f361b1ce5f11ebd020c8fd2772
385
357bfa7b026e86d6c0d644450b7f47db0c452577
65902960192ab722d680f9e3d39127359df844ae
/torch/csrc/jit/tensorexpr/operators/conv2d.h
49251fa3710346f361b1ce5f11ebd020c8fd2772
2,943
e33f979e4934302e245b2ed758dd9030ff9da5c8
71e9bcd953aa9c1f957e01a082112fb55f1e476c
/docs/1.8.0/_sources/generated/torch.all.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
68
510205e5119edcd554a3c9944680bdd2612b7931
5af7b945c79ea6ad483d9693eed906b8b022fac6
/docs/1.7.1/generated/torch.combinations.html
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
35,311
2caedad7a677e30d5934fab66f8fa6943ef5a24c
958d442e765e67c9f76e4138b54a45ffc502b8e5
/docs/1.8.0/_sources/generated/torch.nn.LazyConvTranspose1d.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
269
40abe0a17add1d769da77797e47a45b7cad26e23
c0d6d2a09469073568cc92c43b9f543e0f2c5fd6
/docs/1.8.0/generated/torch.amin.html
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
35,893
8bea3f67acc9f3d25b534cefc750cf1a028bd860
39ca981e81024dc743f4145617b92a1d2f4fbf7b
/docs/1.9.0/_sources/generated/torch.nn.MultiLabelSoftMarginLoss.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
284
27fd5f0a95dff79693d151ad3a75224e2eac9051
7b34f689b6b945114f0827b6c974b56f8b1fda84
/docs/master/_sources/generated/torch.Tensor.square.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
99
232cc1f5cc28467c2262a83ccc2701284f49d44e
f689756309bf6d8587261aee0d1e84dfbf81e189
/docs/master/_sources/generated/torch.Tensor.cummin.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
99
1d6065261184ef4f72b41f917d0ae22d119aa06d
94bd333f26974388ea94a7ded6857c6cb6ccd7a0
/docs/master/_sources/generated/torch.nn.functional.torch.nn.parallel.data_parallel.rst.txt
49286d2b46fc03feb16f55ab79bf5404dcf1fe2f
199
11892a37edbffef817262226143655f8247573b2
b5cec9e779c567ac9cdcd8c9648f2deeb7851cc1
/datasets/brwac/brwac.py
492a44d0bd97bf004ec34cdbd97e7fe420723d33
5,528
567c45849d173c87ec3770d5b0e3e89195325018
a28474b63c860712a5d65c4cff745db6d78307ba
/datasets/kor_nlu/dataset_infos.json
492a44d0bd97bf004ec34cdbd97e7fe420723d33
4,489
349390ad4a38386699a9a9aa06fb93e037cb2d48
9d057baaca5fd6b2e11e8b8be2db8c324612dd16
/datasets/codah/dataset_infos.json
492a44d0bd97bf004ec34cdbd97e7fe420723d33
15,783
df623d0003b4acc9e7ff39edc89bce02b6a5b2c3
c42942ba88907c6b2cec0d650b934310e09d02d5
/datasets/pragmeval/README.md
492a44d0bd97bf004ec34cdbd97e7fe420723d33
3,166
55bc95dbb4a47df06ac1f40045fd88051a186ecb
9b2b5f2a7f55c6f5fe9008c2405eb520c1e3139f
/doxygen-python/html/classcaffe2_1_1python_1_1layers_1_1batch__mse__loss_1_1_batch_m_s_e_loss.html
49332f37c9996fe5ea47aaf2f99e51a2158e36d8
11,365
ff5d137302f2ae6f0dea0702ac628fcdd424d528
2e3152cc332ee5a7600e5fb917cbf7f415f5ea24
/caffe2/proto/hsm.proto
493ebf15f66a0d38945f402509360d285d9d3dab
2,277
b2ee2abaeba30e0e4b153e7f2ec8977c2a11e462
8b6f42417fd48953f6fffff074c137908110dcfe
/caffe2/python/operator_test/dense_vector_to_id_list_op_test.py
493ebf15f66a0d38945f402509360d285d9d3dab
2,044
c9f7aa466e907aff5367ee4eadcbadcf0f53b96a
2b898562fa5e4c02a3e6b008d009d89bb9d24a68
/docs/source/library.rst
493ebf15f66a0d38945f402509360d285d9d3dab
2,230
768823a902f068285bbae6d8604579e92273230c
e7e09d94abe594596f7bda894612419a40e254af
/caffe2/quantization/server/resize_nearest_3d_dnnlowp_op.h
493ebf15f66a0d38945f402509360d285d9d3dab
1,243
8fb12bfbbaee7c9c58e1fa0e936777fe3e2ab46e
c1755d42df213c14629c793491c9c5966e72057c
/frontend/server/src/main/java/org/pytorch/serve/util/messages/Predictions.java
494d393841acc5b80eb2313e7c3c230f17d87abd
1,296
fae9dcdb08307d35f27d913830f4cfcc4163a149
b48a041de230186446cba2e5200fbd47c14f6c34
/examples/image_segmenter/fcn/fcn.py
494d393841acc5b80eb2313e7c3c230f17d87abd
444
48f4f583a81967965f509728c3ce7dc663bf2554
b85947ed9a699a5eb96a2ecec97244735630781b
/bindings/python/tests/documentation/test_quicktour.py
494d7b38749ef1148b43860c3b89e55e8947e117
6,501
5e68a03089ffeba384b56e85993528945dbb766a
0b7a36969f63daa22dddcfcfa9c827dc1c65318b
/docs/master/_sources/generated/torch.Tensor.gt.rst.txt
499e0010c4a73241c9ccbc9656bd8fde635dc5f0
84
5149b5f68f103cecf8a09069bd99f8dd29bad5fb
e77bdb822b4b57b106a9230c7552e5029241c973
/docs/master/_sources/generated/torch.Tensor.negative_.rst.txt
499e0010c4a73241c9ccbc9656bd8fde635dc5f0
107
ac37203b178fbc98c1c531fa084fb0ee245f669a
88100c1035b35109901f679850dedb2a3c95e929
/docs/stable/generated/torch.fmax.html
499e0010c4a73241c9ccbc9656bd8fde635dc5f0
34,684
fb9a75843b55f2a82cc4245af92322f4b635597f
5e5300038589af8b9a88c09834c2fae7feb6f389
/docs/stable/_static/img/pytorch-logo-dark.svg
499e0010c4a73241c9ccbc9656bd8fde635dc5f0
2,080
7e81d6bae5d9d49c572c9ff9d7909c203ec0fa7b
98af648aa147371a2b2810e666e050d60989db56
/docs/stable/_sources/generated/torch.nn.KLDivLoss.rst.txt
499e0010c4a73241c9ccbc9656bd8fde635dc5f0
239
b8379a827567f09c7afa99b34544e58af9b8a9f4
41a67b50653bc990ade422e47e435750592df619
/fbgemm_gpu/docs/source/cpp-api/layout_transform_ops.rst
4ac2f200123de99b26f64064e624f1119f7139c3
241
9360e0f81d0d760488ca5be1cc8bc5e9815f1661
76cdf2dd4e4de756d3e6ae06d274816847ad3bcd
/src/FbgemmI8DepthwiseAvx2-inl.h
4ac2f200123de99b26f64064e624f1119f7139c3
21,606
6b471758bd2f56fc3cef07cf80d4c6f046f75dc0
273e14699b9c1c3813ff2f422c94ee91c603845f
/caffe2/perfkernels/common_avx512.cc
4ac524926521f84b2893667638da1e47650ef985
974
c969a694010833dc298fddd696e118c0a9a7fa94
f205d8e650b2e913d8a338b2f9e1dd5c83b4dd3a
/caffe2/python/operator_test/jsd_ops_test.py
4ac524926521f84b2893667638da1e47650ef985
1,044