blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
7f6d10f6381cc82032d45ca650650fd70d28b750
b9b0e334772d281a5aef28b7a684d25f92dc9feb
/metrics/accuracy/accuracy.py
a052d819853c1798111db144d1f977f2e1cd15f5
4,208
682f2d5b3baae6afa60477a967b2641d5ebf8a65
bdf6c65b36c5e43f517365d9eeca0d66ef546c95
/torch_xla/csrc/matrix.cpp
a04f9509848378c9dc17ebd76d325bf176370963
5,725
d6d70f00a76ebf0bead1e3f67e71b8def711e0c2
b10360f00315e867cec4e3f033172d928a67760a
/torch/csrc/jit/codegen/cuda/test/test_gpu_transpose.cpp
a06f760f37095be4cc375e73cfba83df9f427d15
37,576
900822985c29443f77b94ab269953758707b2083
82a896faefd6c2d5c6599417d3ff4644b377dc0c
/caffe2/python/pybind_state_nomni.cc
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
20,575
374b09632b3cf286446cb185d4d23356b0e66f26
89ff7c38a438e18f2d401707fb38c83798e10f26
/caffe2/opt/annotations.h
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
2,141
56e9d38ccb443578be6ebcf4d561f755ca4fa6ee
6a087adb63c851062654501914002ca23ff184ab
/test/cpp/jit/test_autodiff.cpp
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
11,896
3eb3f3cff91c208ae6abb9e8f7e27a719e76fb78
30d02332429a81ec50c6dc3fae8ab7cddff88714
/torch/csrc/jit/passes/mkldnn_rewrite.h
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
630
54f683e93555fad3ee9dabc4eefd14ea6126489d
a4195e24cb0f22c1c191c5ce43aba2b11851bec8
/torch/csrc/jit/passes/lower_grad_of.cpp
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
1,800
bae3e8a620d31cfbdc70cbbf174203814db7e703
96e6dbba31599933fb054b95eb862a534d912996
/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
1,061
154498162690185da53afb32117f21c134a14d30
00d9eb512ae11e3f86c8e0605d7ee129b76bbea2
/torch/optim/lr_scheduler.pyi
a070ed1556ca7e6e3cd3d1ed19183e4cb86abeb9
5,913
86e7fec6af8ccda8a702e89a40a2508fde32dbd5
df37d58e0d7ebe1811d059ad888b21ac7deecabc
/docs/1.10.0/_modules/torch/optim/adamax.html
a0745bbaa3713f92ad4732f71ac55c7b577e2ecc
47,832
433efcff998b8bf05ab5f1f4a7ba77e638e8118a
9f2f181e0307fdb47031f741761fc79f32ed22be
/docs/1.0.0/sparse.html
a0745bbaa3713f92ad4732f71ac55c7b577e2ecc
52,771
13c64dfd482691b14530e55c3cec33ff5c2da6fc
0030e9869bb4e5568395d21e79a48d550a95537d
/docs/1.7.1/genindex.html
a0745bbaa3713f92ad4732f71ac55c7b577e2ecc
355,311
910ab93c4485d1fc64ef3c32cb99cd74aa8f3c01
4cbba583afdef7bc125e65edc2d7b6826c34beca
/docs/1.7.1/generated/torch.nn.MaxUnpool3d.html
a0745bbaa3713f92ad4732f71ac55c7b577e2ecc
56,152
8c6416ea3590a21cdbe9d2e92957264481cc5afe
c47f42cf1984daaae34a206ce571667b5f6bcd3c
/doxygen-c/html/classcaffe2_1_1_unique_uniform_fill_op.html
a1073a42e6d97cd869cc2ecc3e0ba4508d35cde0
51,447
f4a9723fc1b737a8a15afec6e2ffc7e59530a13e
ad6fa3eedbff79bbf4b807d3af9880b35675316a
/doxygen-c/html/arg__ops__eigen_8h_source.html
a1073a42e6d97cd869cc2ecc3e0ba4508d35cde0
20,221
e511a4502a9cd8d65e2716692de20cc75f126f37
7e86548871591ee92a93b683d1f0f9b2880adf33
/docs/master/generated/torch.Tensor.mvlgamma.html
a15b55bd10ac35d5596a9b51c79f73ac3a9ace07
38,507
8bb1b0bfda655e9e23ebaadec719a01552588f06
b28b3ecd81b755f30652fb170bc1ec0a059d87a7
/docs/master/_sources/generated/torch.polygamma.rst.txt
a15b55bd10ac35d5596a9b51c79f73ac3a9ace07
89
20fe21cbeb78cd489978c9c9b1c40da579502b8d
56b3f689bd170548a7e868fc84855f0de8a827ac
/docs/1.1.0/_modules/torch/distributions/weibull.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
31,143
85ba9d233e231ac2b5248c6ac1d681b730b149c1
f0ec5c6940908bf88b4437f7435588e071bb3138
/docs/1.10.0/_sources/generated/torch.diagflat.rst.txt
a1bbc588e75ea26d47a65a6af62244018d3a2381
86
4292e4e5fe12df1c162539edb4f00d013ae965ba
81f11adae05f17a99d92ec0e9ad0b064b79c56d4
/docs/1.11/generated/torch.linalg.diagonal.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
33,859
5654159382804dec718f8871fe45fe7542fe2bcf
129ab3761c513283071b908b703b67e3445bc98f
/docs/1.13/_sources/generated/torch.autograd.profiler.profile.total_average.rst.txt
a1bbc588e75ea26d47a65a6af62244018d3a2381
179
e1ebebdbd68fbc32e6036a6ceb1221ef68cf455a
86a3c1b4b2a53c5b2ff27e5935edb21aa8ed3d47
/docs/master/_modules/torch/distributed/fsdp/api.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
56,308
fc95714904a73893d040e6d0000ecf39d9227c63
b8a28b5fad4bf8edfcf4309f5f005811d97a66c8
/docs/master/_sources/generated/torch.Tensor.less.rst.txt
a1bbc588e75ea26d47a65a6af62244018d3a2381
93
cf1643192d8381bd6468749f2c50869aad368eb6
3e70d1eb3b86d7d78b11b276216ce5b7de88fb05
/docs/stable/generated/torch.nn.Bilinear.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
64,498
bc8509b55178f7fbd543c46fc14dc0f46a0e7eb3
04dd72c12b6e192e866c071f5b590fa4045d9a85
/docs/stable/generated/torch.nn.functional.glu.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
40,519
0fbe2f7da6e12d6b9e494e0d2e6b3494239fc831
0f1a1eddfd4e1f18ab6116199b62579a0003e2fb
/docs/source/en/perf_train_cpu_many.mdx
a1bd3ae1f2c506d652e8362bcd6e68347432b3ee
5,627
81a5ef7fffa9e20599a1fa4b31e2adde88ec2426
b9b46042998bd6c8ea816da65f21b62ecd97a5c2
/ecosystem/higher/index.html
a1bbc588e75ea26d47a65a6af62244018d3a2381
34,922
cecbbacd87c33932485ef00244192e0abcbc5c82
4eaa4fe2f3b79dda5a1dbaf66890d45524b91592
/examples/legacy/token-classification/scripts/preprocess.py
a1bd3ae1f2c506d652e8362bcd6e68347432b3ee
993
bd52b88ea5a5e6eb2cb4d342fe01e91e669e10e2
a7107f2067deff8566eca1c355e2d4878fa56995
/.github/actions/download-build-artifacts/action.yml
a1e78b0cc9f571a8a2d8ade410ecdbd9f5a398b8
852
704837f71dd834dca9a557f6ea565cfe852b9157
7ae28e3924f0fb52ad0194e50c955e1df0b722bc
/tests/ignite/contrib/metrics/test_cohen_kappa.py
a1d8d4ac1381f7a89899101e604c161bfef81833
12,303
0c39702ec42d387d76d8f00cbc0e3494d83bc8f6
402dd58b008465c4f078c853dcc41451018b624b
/torch/csrc/jit/ir/ir.h
a1e78b0cc9f571a8a2d8ade410ecdbd9f5a398b8
54,133
ef415ea2815ff95b318f5b786a969e4a19573a3d
ab15ff5d62a5dc3786e1c126097efa351fa7922a
/docs/1.10.0/generated/torch.Tensor.sparse_resize_.html
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
36,174
8143a68d9c96dfb5d83c217670002afe8e2ef652
a484e6049b73b9dedded9b10d993c235ccd922a1
/docs/1.10.0/generated/torch.get_rng_state.html
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
32,094
47eacf2f1e3468c0de7768372cbafba86c645a6e
1f1d29e5c3f3afbae9a5ff0a8ba86751a30cbbdc
/docs/1.10.1/generated/torch.nn.functional.triplet_margin_loss.html
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
34,364
bb71e956e709b358d741146956715b318838b8ef
23056e0369adc9499d30f36c04a6a824ca643e8a
/docs/1.10.1/generated/torch.triu_indices.html
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
44,644
223d59e337197773b10908798ddf5c87a492edea
bcfdcac8719b537eb079613dd3d2cac136816346
/docs/1.10/_sources/generated/torch.nn.functional.poisson_nll_loss.rst.txt
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
156
6ff014b7c307fe2a19fe6b901f009e569aad1797
a9c94e2a4febb840f626502abc0af662106c1efc
/docs/1.10/_sources/notes/hip.rst.txt
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
5,596
19b68650bbccfad616046b540219700deff5a57a
b0d2917aad3b52fabf527cef5cd5924bf61de525
/docs/1.10/_sources/generated/torch.autograd.function.FunctionCtx.mark_dirty.rst.txt
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
182
76df090a74ba8710e076d4861a4e334f5ae607c9
13e589375c3801285a395fc3822b75b4b9127be5
/docs/1.5.1/_modules/torch/optim/adam.html
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
44,697
8584fee2883b1ee84793623a0a7161eb39196bbb
2fe518bde6ab14557ca88a9b030a27285e96897d
/docs/1.6.0/_sources/generated/torch.nn.LPPool1d.rst.txt
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
236
e0879142c0a3bc7deb6e5a53ca3539aae6dedeee
8c2f4d448126507fb1626ad5ecec573044cf1ecc
/docs/1.9.0/_sources/generated/torch.Tensor.pow_.rst.txt
a1f7eff8f4b4eacd1cedabf53b715b5f4baeb3d5
92
ea16618760bee2eb04ac1c213a5323b161e974fb
c02914de7d421674ec0160b7d61d46fe60bdaa9b
/caffe2/core/net_async_task_graph.cc
a201ec0fda17363bf16cfba03a43553730192b41
3,792
8d70acb5f6509a1ce83e476f4d398967a408ff08
2c4cd39edfd85d09080b9cd080edde9a074dec25
/caffe2/contrib/fakelowp/int8_dequantize_op_nnpi.h
a201ec0fda17363bf16cfba03a43553730192b41
1,343
d1f3c382d96d8a410b25312243787d0edcfea67f
72b740cecfe197be640794daacc6eda6e1f471cc
/torch/csrc/cuda/Event.cpp
a262f7f95fbfa0cd65a1b982079a2270c98d7775
7,788
9b8d382bf6803777701c2263d1f583f84d30dbe1
a00ffc2c6f360595090cd07e6c0f2ac7ad22a66d
/torch/_storage_docs.py
a262f7f95fbfa0cd65a1b982079a2270c98d7775
1,036
6bd19da519c37ea87bf4503e4aa9f52eecfa98c2
9465307f5f57ea3502ff6c5b3ab56b1bed1602e2
/src/transformers/deepspeed.py
a384d6bea5e36838a441991612f96f1e26cb1070
15,835
54f0c42ae7f7ed72fa30dcf649014fc448b39968
f6a3d9b0a809e1da76f3beb2ba49467771a8c97b
/examples/tensorflow/multiple-choice/run_swag.py
a384d6bea5e36838a441991612f96f1e26cb1070
23,325
77a93b56ecb2072637c0ed8dd7faad772e78d3e1
bc665410b6c6b9624be9ed54a4fea09f7d329e8a
/tests/models/videomae/test_modeling_videomae.py
a384d6bea5e36838a441991612f96f1e26cb1070
16,877
bed833c4e923877c4a7e8eef8390cff973930d90
2ce7cafbda6e5b4f24422c861ab4dc3098b307d2
/tests/models/plbart/test_tokenization_plbart.py
a384d6bea5e36838a441991612f96f1e26cb1070
12,429
9391944472800d08b8eb1d199a219cef4daaee8e
00bd02c4cdca613d3f5c645b821829f4f98467cc
/aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8dwconv/mp8x25-neon-per-channel.c
a3874cc258f472abbd58afa31a82094f166b3f0a
213
008ae7bd80e612787c8125920b280c515d408651
326c58ddf0d58104adf44815123d3f80c35b7a88
/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x8-neon.c
a3874cc258f472abbd58afa31a82094f166b3f0a
32,536
794e18ccc55dca712c9e1656c5c919948b85b7cf
ae87934b906e595746f6c477bbd70da5887e48b2
/aten/src/ATen/native/quantized/cpu/qnnpack/test/x8lut.cc
a3874cc258f472abbd58afa31a82094f166b3f0a
1,161
bed4b414fce24855993466a9e80e8c7b12a20414
fbe657bdf2ee3ec1fe732662c33d46f679543d12
/benchmarks/cpp/tensorexpr/CMakeLists.txt
a3874cc258f472abbd58afa31a82094f166b3f0a
565
e0beeeea68a3b4ec0d4022991318541d13eff8f4
aa1644c94b764f1c95b574d413bf559f456284a6
/aten/src/ATen/test/cuda_half_test.cu
a3874cc258f472abbd58afa31a82094f166b3f0a
4,233
122e78ddf6cfc5c75c8f1bd8204055d8bb319d43
55ea27ca10673a539912b921033f4863a6f8000c
/caffe2/core/nomnigraph/include/nomnigraph/Graph/TopoSort.h
a3874cc258f472abbd58afa31a82094f166b3f0a
2,130
ca4e312b699c7f37025a0846669315de9e384115
123773dfff0d1f46d6c4139b7e5814daed2e31a8
/caffe2/operators/tanh_op.h
a3874cc258f472abbd58afa31a82094f166b3f0a
723
0849ce2902dc9deefc4da4e68d610442b069f3c7
afe3134937c93e0d13a2368b42349f013e184f6b
/caffe2/python/test_util.py
a3874cc258f472abbd58afa31a82094f166b3f0a
3,524
2a87bf6c2ea0ee1277464d99e1c68b563ea6f2fb
b23216f5c59668ba763fb831b5e3d42ab4364279
/opacus/tests/grad_samples/embedding_test.py
a39510283ba4eb5f738383f29c64bea8701a7405
1,150
ef311e21b7ce7bb8a2dd1c27517b36054c88532a
8153f03a264f73d587790d2d8220f36c5736d3ff
/tools/bootstrap_ffmpeg.sh
a39782d769a96ee29e99972a40ba447aa2daa6fe
894
fc67fee4a507b85baa65a8b591e44307c52d56da
707ee0cb17eb29badcaf218fea7bee211b828f35
/beginner_source/nlp/README.txt
a3a22ee733bb0277f49be1ae8c6d019c52bb3d81
773
3df72cf4bd0f9485789afc1b05b17ffa852c4a98
9410135677a4fdc1113d96c5a422583992c688c3
/packaging/vc_env_helper.bat
a3a0bafb46ec6a5a7af4b824965745f48b46dd88
887
3910191a87059621a86f975416874954171409a6
3331d71c5e1234f66cd2876101f1e89b0b54029e
/src/transformers/models/bert_japanese/__init__.py
a3a990b5bc600ecf6c0ee863cc3051ed24fc9972
1,224
646f0a7449dacf5a239d836c4306792499743f43
d9bc1610225bd902da8eb351273833f76023dfe8
/caffe2/operators/bucketize_op.cc
a3b9062397336b90ec63423a114140bb7deb42eb
2,324
4a580d2bbd75f17c6250a6706b27ded47bfe0f2e
796b8f7450df192ebd29041d4e430de31f251f8d
/caffe2/mpi/CMakeLists.txt
a3b9062397336b90ec63423a114140bb7deb42eb
1,200
24a1466705e0cefee4425c22f2d8e5d3b648d393
7ca79a1d461a7849e6e4d2539da4d7443b20d0f1
/caffe2/operators/quantized/int8_resize_nearest_op.cc
a3b9062397336b90ec63423a114140bb7deb42eb
997
34a0a763413c24d52d41746fa4237de588d7be94
63deccd5d3d2d5cb9285544c506d2bc1a6931f70
/caffe2/operators/unique_ops.cc
a3b9062397336b90ec63423a114140bb7deb42eb
3,593
b46f44cea6d3a5bbc702885b6b38e26a8799019f
b0e0861173c3028e138e8135406d1aac3b22c81b
/torch/distributions/cauchy.py
a3b9062397336b90ec63423a114140bb7deb42eb
2,851
1569cf2183349bb2d579da418b03988c992a2034
d6e1973b3362f1c6a61b52fc851a031463b749ce
/404.html
a3ce0d08fff660bdac39616141891842263455f5
22,590
12b0927f3633186b9afa85eb2ba5ce40c65e6330
615809b56ca8a435357338cd7fc9ffbc28c57f10
/zero-deepspeed-fairscale.md
a3be6e0e024566b5b45876c090f09725500ae1cd
17,161
d9774268c1773b65ef14b8824cd991d34be64abc
babcb37839505c9434f657dbe15d99031488585a
/docs/1.10.0/_sources/generated/torch.Tensor.bernoulli.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
108
2faaa9d98a7f51ea962dd758e6deec8810cf737f
ce24b87d1300f421935adf595f279905d357e267
/docs/1.10.0/_modules/torch/nn/functional.html
a3ce0d08fff660bdac39616141891842263455f5
702,873
34217a3423d4213c522184d890fab2f0daf21736
f48bb7bdcc70060565590d3c40d575d255d2f9bb
/docs/1.10.0/generated/torch.cuda.init.html
a3ce0d08fff660bdac39616141891842263455f5
32,475
9e44e754ffda899c96e742a9c4b444d6b94875e1
e6ef4768a78b445b661a19483717138b0547cb5f
/docs/1.11/_sources/generated/torch.median.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
80
fc06fd1c39277add5fd053fdfc6037283859b11a
58968e89e7a1437fde6afd00097bcf3a8a9f8b9a
/docs/1.11/_sources/generated/torch.Tensor.sigmoid.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
102
b7781b6b310338b94d507eb0c66571a760a6a433
f4721dc0c9c128f282235cfaad6f57e50198663c
/docs/1.11/generated/torch.Tensor.le.html
a3ce0d08fff660bdac39616141891842263455f5
32,891
26270fe5f212764305f04e44fe3b876bd4c3d575
71cbf42647b86acad88fb47e4eacf7146d672f5c
/docs/1.11/generated/torch.Tensor.is_meta.html
a3ce0d08fff660bdac39616141891842263455f5
32,783
ebe7969686a922f5a61844ca5be240f3e17ad939
8737c65d9ff42022c420856a4eb378384436d288
/docs/1.12/generated/torch.nn.quantized.Conv2d.html
a3ce0d08fff660bdac39616141891842263455f5
40,732
b7aa31434905faa5c63e99d7ccb358ebf3ed58ae
5b8db3b1eba6c0bf937f10c921dc01eadbe1acdb
/docs/1.12/generated/torch.nn.utils.rnn.PackedSequence.html
a3ce0d08fff660bdac39616141891842263455f5
43,836
75bfc25cf3d38105646d7b84b123d74083329f3c
834b6a60ac93fd29e7ae982651f760e3c00d51d9
/docs/1.7.0/_sources/linalg.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
235
4d83f7bf8212b652ebff6c52ce762777810c4f1b
f5d59899b672fda2b9b245f078942589d3364c4c
/docs/1.7.1/_modules/torch/nn/modules/distance.html
a3ce0d08fff660bdac39616141891842263455f5
38,633
e914baafbb03a5a11aeb09f2cdeb11fdda9094ed
f61c6a7d9072f4edcf14686c7f9ae9415dffbfe7
/docs/1.7.1/_sources/generated/torch.logical_not.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
94
7f40986777f4be50d9251b9e4a54cc8114ecda58
c433e986873fcbec02151b48c3b9391d0fbefd51
/docs/1.7.1/_sources/generated/torch.nn.ModuleDict.rst.txt
a3ce0d08fff660bdac39616141891842263455f5
242
37e48d27f3e1df67a42473a7c6de1516f6738ac0
69d479e61801d8efff096cf366b2d6fc5490e06b
/docs/1.9.0/generated/torch.Tensor.numpy.html
a3ce0d08fff660bdac39616141891842263455f5
32,225
79ee89cf06fb9a587e6581aec180004a928b7e3b
67098f71339c33d0e144efe77ea838e41bd43506
/docs/1.9.0/generated/torch.linalg.vector_norm.html
a3ce0d08fff660bdac39616141891842263455f5
39,757
9fad79cb7951c443116a8c93a23862fb217a31ca
2ce33d7cb275af89527cf67817026248153493f5
/torch_glow/tests/nodes/quantized_add_relu_test.py
a453a63711a5f29e68a9c2470bdf374654e28f0c
3,607
1f910a8643d28eb1f0cf0bce87b332649d06bdca
be308ead484ebe87fb49fe64565cdc58ec78500e
/torchbenchmark/models/pytorch_mobilenet_v3/install.py
a45c3ff111fc959fe9be358588cda48e2e3a0f31
222
b5ef112d0ed17fd0452e21603dcf9f2f2a34ff6c
8336df0f34d63ab681ae3e0151735235c513238e
/docs/0.1.12/_modules/torch/optim/rprop.html
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
50,524
6d41f6cffc6e673a980b50087849e0d7d56616b5
abf9d7fa9e11b20dca67e68f5f032b1420c73b64
/docs/1.10./_sources/profiler.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
417
8bf4f9eca59694f72e03ff503164fd179afa4fc2
eebc8c44bb5b865ed68b495de5c95d5c6caef5dc
/docs/1.10./_sources/torch.nn.intrinsic.quantized.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
410
f8e516c1a10913b50ca2dc76b427d9e506582573
653a2188523e3ee1c9aeeffd7ff1ed5c66787d35
/docs/1.10./_sources/generated/torch.flip.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
74
8659831d3c5cf6e59e0b291fada70caa8a927d29
a2a8dec43519853fe75ab09d5a45f73ed710b43d
/docs/1.2.0/_sources/model_zoo.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
147
8cc75bd24834a93c1199270c1240974751473d05
099c107e57a73ca8edad23b7e2e61059e42a56a3
/docs/1.3.0/_sources/nn.init.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
510
510205e5119edcd554a3c9944680bdd2612b7931
5af7b945c79ea6ad483d9693eed906b8b022fac6
/docs/1.7.1/generated/torch.combinations.html
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
35,311
fb5d55636c40ad6b1872ac62fabc289c6f9c69e7
94f25c0354516790d8c6a64a6e2e27b7cd6ebed6
/docs/1.7.1/_sources/generated/torch.empty_strided.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
100
5c9524e7bdcc1f44150f0752b7c4e1d71e5a340d
d07139e93a48066c8a66e09714636037d1e568b3
/docs/1.8.0/generated/torch.randint.html
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
37,449
c32b1f616e7beeb3b23aa9b0cfef900d43d79b72
9d5f92186350a21551fc22e13c7436a5aa86953d
/docs/1.8.0/jit_builtin_functions.html
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
1,503,108
ffa4575901a96c8e176b477c6c3f31647c0a0c70
56e6bbb3f86d73edb288c681e5df7135abb9dbb2
/docs/master/_sources/generated/torch.cuda.device_of.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
225
15fdabb32af93191c7c17e30309a0d82b5b30336
83c3807dd75558aa6732acc5cff98a81b3cf4e98
/docs/master/_sources/generated/torch.quantized_max_pool1d.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
126
31ddff7b90705a33feff78a60a42b573f5762f53
594ca158baa54c1d498e604b2da1b253a3b21ccd
/docs/stable/_sources/generated/torch.nn.functional.fractional_max_pool2d.rst.txt
a45e3f2159d33a8edb42145c4115ef9a1bb4994b
168