Datasets:
bigcode
/
commits_sample_files

Dataset card Data Studio Files Community
blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
40ec5950766af5816843c6939ccde4b8da713171
a5646453972d168a15411aa09d88878b03601325
/test/mobile/test_upgraders.py
9c6f274267dd3b6c1a7a0f2013d725aa4aab3a75
2,494
364c7ce37efd80cc6950ecee081a7f3bfde36808
0d2edb86e4d41ee8086c5e3aa29c17976961f3d0
/torch/distributed/rendezvous.py
9c6f274267dd3b6c1a7a0f2013d725aa4aab3a75
9,130
f73d7c1b3dd9c277c36e8619c48410c0260b7658
b5a63dd803d19980899298212b0cea5a62a5b4b1
/aten/src/ATen/native/miopen/RNN_miopen.cpp
9c6fc9bb0419532ec7972f160c0fcd52a854f650
37,243
668ab6ca3cb9dd53df532e8cb11fe8cfbefdf2a2
9f8b065576df945e2c19a153175407930f27ad33
/aten/src/ATen/native/quantized/cpu/UpSampleNearest2d.cpp
9c6fc9bb0419532ec7972f160c0fcd52a854f650
8,206
b816061ab112a1893badd7fb6c40386551ebb4ad
b3a33b92a851f9caf29f6571e260da9842e6f273
/benchmarks/tensorexpr/swish.py
9c6fc9bb0419532ec7972f160c0fcd52a854f650
1,374
d076b7fc8f75ba668d65b12a23a242326c32bc1b
be9e46ce2d10797503a0f9d2480931d21e6f1edf
/caffe2/operators/lpnorm_op.h
9c6fc9bb0419532ec7972f160c0fcd52a854f650
1,279
0267143ea9e046620e30a15bc2975abfdf0c7964
001b85f1ddf0ca6dd9449682ffc4ef4f74068eec
/caffe2/mobile/contrib/libopencl-stub/src/libopencl.c
9c6fc9bb0419532ec7972f160c0fcd52a854f650
58,944
fd012fe841c059777ae2a152671edd99dc4a9677
8bc7eb47d48827b4ae332c4f7128b4fe5921fdc8
/caffe2/python/operator_test/ctc_greedy_decoder_op_test.py
9c6fc9bb0419532ec7972f160c0fcd52a854f650
4,743
1ea8aca380c85a488555db43c75e7b23f6b5919c
a54cf95302e51455e5a249480382b250225f3ffd
/caffe2/python/memonger_test.py
9c6fc9bb0419532ec7972f160c0fcd52a854f650
36,910
9c5491210fdca5594764f3c1282dbfc7f3e6a0e6
d7ad673991c9009c28b8c08c5742841cb2a01572
/torch/utils/data/datapipes/iter/grouping.py
9c6fc9bb0419532ec7972f160c0fcd52a854f650
12,840
663c1d8c60b959146144e636aaee8f348047aef5
2044ab46cb8cf5380d5792d85300141c6a056c28
/torch/jit/_async.py
9c6fc9bb0419532ec7972f160c0fcd52a854f650
3,787
5790e694ad1af223d4cde09cb117a2c38d00558b
e69bed6799028edf6cba31518502d8f8a73c709c
/core/src/components/item/item.ios.vars.scss
9c6fd60ad9883dd9f7681b4098fb422aeebd04f1
4,704
33e52793b652790dcc0fd11561f3d5c3d4a8f36f
3f465ef332645cee7949de7495ad3d7dff8b6ad1
/core/src/components/item-options/item-options.ios.vars.scss
9c6fd60ad9883dd9f7681b4098fb422aeebd04f1
150
642fa05e16bc57bca20288a115aa3bdecbd96f48
077aa2705582f8c487b68f5f46d7e63ec61a18fe
/docs/source/datasets.rst
9c751216db91a6f586178d8bf57b718f502933e5
1,783
547ae410d98b0a5f198f7bd40fd2546292daa69d
b9df1c574f79172203ed36686148064c8fb74785
/examples/text_classification/predict.py
9c751216db91a6f586178d8bf57b718f502933e5
2,026
d5b3ee2f9b0a4cc8427645c3955cec8a0231f16a
e04014dbce9c20676ee94d74e8383f35ed09b993
/conda/old/magma-cuda80-2.2.0/cmakelists.patch
9c7aa865a85f6803e0cdc5be56bca90c619e8b7f
7,321
f0580065b52ed5ef6b1ebc7c9b15b84ca33a2200
c36bfc28f67bbaf7628b10f917660a929cd116ab
/.circleci/scripts/binary_macos_test.sh
9c7be5780577e23fb2b694a8f7c1d903ac66f2f2
900
93cc4107b38dd732d3f8bbddfa5e1489bbc30f40
faf496a6095b61fb7c9131c276c2dbc78ec6e461
/aten/src/ATen/native/metal/MetalGuardImpl.cpp
9c7be5780577e23fb2b694a8f7c1d903ac66f2f2
1,809
1e778005baa5afb9b9767dd89b7aa3c14912ef37
50bd2c54372d4c01d9c78740a93686c796f96f00
/src_cpp/elf/comm/comm.h
9c8339588317e9c13702347c18db1264a3d71ed5
13,614
d78e5a9f10cb141a5dffb588474b9a316a0d822c
fcbf15328e43c7beac36d93bc0f839d08c8bbb4b
/torch/utils/data/datapipes/dataframe/dataframes.py
9c7be5780577e23fb2b694a8f7c1d903ac66f2f2
13,420
15fca9e05eb3e2ddc5661494fe5240b57185c1ae
c8d7687cde3f74348ad1f73deacc2af1d03c8da9
/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h
9c92667df9994b4e603cd8e6b8a14d1bd3b93dec
1,313
ea71602cae6a81856db41380cea1322fded0d491
77fea8dfda0768c88bd8a29f66a2c2b4618db7ea
/caffe2/operators/sqrt_op.h
9c92667df9994b4e603cd8e6b8a14d1bd3b93dec
448
12dc77defd31c172757fc24ed70ab66d3819f552
4c24223cbc8d38a5dfff402f1987aee09520d894
/caffe2/python/layers/homotopy_weight.py
9c92667df9994b4e603cd8e6b8a14d1bd3b93dec
4,306
f0be08f28ad514c7eda00848bcf9f4443f8553cf
d6ce122234fb11cfa2740dacb8ca5dc46800c1ac
/docs/1.8.1/_sources/bottleneck.rst.txt
9d4ba6eb8774b6c32462bc61b567d69cc306a5e8
2,682
9e0ddcc294478e7d9492a0f22df5011d9c7df752
04a592cb94b4517fa4ef180daf8e82f6d0774a9c
/docs/1.8.1/generated/torch.log10.html
9d4ba6eb8774b6c32462bc61b567d69cc306a5e8
35,522
36c9726ff39f89abc6d9e7b966de895b7913224d
3ca2a1db09f48db0867c3c354de4aa8d164cf687
/caffe2/operators/lpnorm_op.cc
9d4d23cf1f0eb621951d7706b919f01c5d84f3e7
5,122
e75f793a634036efd9502c90ee7c2acc5287759f
4bf1747e80c68f03a36732842713e8508ebb3b75
/tools/setup_helpers/__init__.py
9d4d23cf1f0eb621951d7706b919f01c5d84f3e7
548
450b53fb73490da6963d086fb9ae33c43b254a5e
b3a166bf6bc44c2b5ed4d424ca82db5757c9bb5f
/test/test_transformers.py
9d4d23cf1f0eb621951d7706b919f01c5d84f3e7
41,095
0c39e9b6ec9d6dfc9ebcaad94fdfdbf0d3ad6b82
c09d58ea4c8be6ae647eadaf053a118534b51212
/test/test_shape_ops.py
9d4d23cf1f0eb621951d7706b919f01c5d84f3e7
30,174
c6e519a6102bfc2a11f60c0a24e7689ceaa8ff22
bbbe95b09d7857c5de0347c78a236d85516d47e5
/include/glow/Runtime/DeviceHealthMonitor.h
9d5f49d389e405bf1b65fb7855812bc79271369b
1,751
22e8d4434005f2715e23456dbdeaf3d8b142624a
094499590684f6a16e1210de56e6552c395296cb
/lib/Runtime/DeferredWeightLoader.cpp
9d5f49d389e405bf1b65fb7855812bc79271369b
1,096
979e706abdcc348510fab6ab5c08fcb6f43cd04d
7dca34edde074ccb254e366e3cb1246bf5071b68
/datasets/grail_qa/grail_qa.py
9d680b0c790adf1d5466011734dacc2c4cf394c2
6,190
fbcf4ff41faa561479c2391bd9b39a50342dfe3c
8c35bf7734e77ef43ed2cca36b02f7b3fef03d2f
/datasets/conv_ai_3/dataset_infos.json
9d680b0c790adf1d5466011734dacc2c4cf394c2
2,765
97437dd1529974087429636ace554079908af7ed
e51efe469cac843e639553b2e5ff7977ccbd47a7
/ignite/contrib/metrics/__init__.py
9d68f4a39ec62de5e325cd3aba9af61299842b05
303
54a89497b8d4b392ddfeceeb3517a4d434fbe97a
a7807c663e06e42b2e135b40c27d6027cc81ab0b
/datasets/xor_tydi_qa/README.md
9d680b0c790adf1d5466011734dacc2c4cf394c2
7,992
985b43441cf22926ef3d1c8eca81ee06b808aeb0
427b422033caee26e1bcff6bf6bc807ed3678ea9
/datasets/yoruba_text_c3/yoruba_text_c3.py
9d680b0c790adf1d5466011734dacc2c4cf394c2
3,139
4d4c2a78309e56b84450aaf1215d386699861ad7
2c6bbb5e203bbf5517a0750682a725442be89262
/docs/1.11/generated/torch.nn.functional.hardtanh_.html
9d6dced1e6e61881eb08ec6365e524b93c88c476
33,548
1188a57d908d91f4dd24c791be00b76ad7268341
e8fc5cfc4536574ada22fd09f687933d74caefca
/docs/1.12/_modules/torch/quasirandom.html
9d6dced1e6e61881eb08ec6365e524b93c88c476
59,277
4c8b0e00fe7632d22a401edafdf25c1315ffbe34
8362d25915c4464590d543ee2c8a374ef8635af9
/core/src/components/segment/test/spec/e2e.ts
9df9ca2f370f02fdef862c58ee475c14f1bce7de
316
7fd77c640ae6928d2a20e83e22dbe7c597a52867
ce0945357f2614e01bfd28c4dce42e9bd627daca
/core/src/components/header/header.ios.vars.scss
9df9ca2f370f02fdef862c58ee475c14f1bce7de
244
d884a18b7c6cfa18da90119e3a13d84839dc9123
35cc86a56aafa0096fe14601aac6870f0cded7b1
/core/src/components/radio/test/standalone/e2e.ts
9df9ca2f370f02fdef862c58ee475c14f1bce7de
296
158f19a2bbc0507e94a0b60dbd792d3cc7209271
4e5ee6d13fadca1d7028b148d877a29a7e94c69e
/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py
9e007e42df7afb0e166841ac5cc1d1f48ab648e7
1,213
ea5b64b3e7c49476ec86403c9ca608f74c48f28f
fea60bfb0d9dd3b6466391df22b9d0a5b3ce2cfd
/docs/1.1.0/model_zoo.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
22,483
72b374235bc918145c6a894b54eaf127d1b94d97
1894fcf2f6d38439e69a379f9f672806de4dc677
/docs/1.0.1/_modules/torch/distributions/binomial.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
45,298
736201c49c628bfa06b30a80684051a3d0355f14
b7adaaa99a51c14677ec81c1e9e9ba6562d06165
/docs/1.9.0/_sources/generated/torch.floor.rst.txt
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
74
26bde6c0ea75437dbbbf3421b8f1d058d690484c
6aea5a3b941e4e3271e88041a0df44564ffbb3da
/docs/1.9.1/_sources/generated/torch.linalg.matrix_norm.rst.txt
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
115
d0e0a36ef84f3c9f2a20555457cae82f0e561ff0
f2a077366e295c2662fdd428ae9d5daca322cb7b
/docs/1.9.0/sparse.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
117,545
7e8ff8c5c422ec2821ecfb516bb275b65f1f498a
f84b8fcc321f6eb687e7d14eb7a28735b04ee591
/docs/1.9.1/_sources/generated/torch.Tensor.new_full.rst.txt
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
104
6c8912293260c78ac4e2b3550ae6366bdc33e647
159231a82f062ab4cbe7696e2cb98cb6b61e54b9
/docs/1.9.1/generated/torch.Tensor.cummin.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
31,838
a0d683acddf9759edaab4005035b80db9956dfe7
8283e524d1975d48ef474a75d1fa30c5f4865a7e
/docs/1.9.1/_sources/generated/torch.rsqrt.rst.txt
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
74
ac4f62250cf717a4a7d848eeae9569195a8e71db
fd4b5023f8d008091f80f01034a03b3c01df60c2
/docs/1.9.1/generated/torch.nn.utils.parameters_to_vector.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
32,529
4826526e58fc09a6b5eae69e0b81cb648336c072
7f1dee768b3a4bedc2e8b902ef76e02f404a67df
/docs/master/_sources/generated/torch.Tensor.acos.rst.txt
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
93
272f0aa0bbc097fe543dc19c5fb5cebb0e95766b
c5f2eb72a196be58ab227cd1d781c2495de7f0b0
/docs/1.9.1/generated/torch.nn.RNN.html
9e0ded0d3d6e5e3f15ec59b45e4ba9e96d2ad688
76,807
e6be4e4f388d6649b92e248d6cae28c0cb5592c0
5a6ceb1cf614fc43317ae5e29d92708a9b9388ae
/docs/1.2.0/_modules/torchvision/datasets/cityscapes.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
70,482
215165fee87bd05cf823bc9cda3ff17b5f6fcd82
d1293b5e96d6ce74911de50add0f66947b3cb93c
/docs/1.3.1/_modules/torch/distributions/fishersnedecor.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
40,673
a64238a5b06cc8b824359b4e5aed10b460cb93e9
90df87226be69b9b6f63234ca9a20b7d0d849c1b
/docs/1.10.0/generated/torch.swapdims.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
34,273
0b639e158c1a3459544963f2a4376ddb878b2f3e
b853e7bb346427110540d71457310388cd0b753f
/docs/1.5.0/_sources/org/pytorch/Module.rst.txt
9e202f8f0636ef70eb697855098b2a7406ffa46c
1,656
cad54d47c92f9238f1fe233cff460658df180f63
1d93a73173fdae51e12ad15ea0002aac63db9f83
/docs/1.5.0/torchvision/transforms.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
141,227
b927745c71f1586bf3a40383b0ef81f8021aa38d
d9670d5f3d8040bf6e8415e146fbdf462ad56c48
/docs/1.6.0/generated/torch.unique_consecutive.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
32,485
4af837c40e6d9b55c8f305a2528212f723cc2119
c00b503e1bf1a8c278eda72cfa51b2c48f375b49
/docs/1.6.0/generated/torch.round.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
28,087
1f698185458db00a5edefaa87e657dfd36e62595
c16970e129a028b43130cd9fa0043e6aee51a1f7
/docs/1.7.1/_sources/generated/torch.split.rst.txt
9e202f8f0636ef70eb697855098b2a7406ffa46c
74
39521e17df45b7423e3a7a7e6156cf5d7db334ba
18e0c82e473c2a27952c559b2370d7f093050c4d
/docs/1.7.1/_sources/generated/torch.nn.Softsign.rst.txt
9e202f8f0636ef70eb697855098b2a7406ffa46c
236
08334220b1098ca3d3b8029601e02a428e6bd280
faaab54edcbd083626523f27b59d6cf0df81884e
/docs/1.8.1/_sources/generated/torch.nn.TripletMarginWithDistanceLoss.rst.txt
9e202f8f0636ef70eb697855098b2a7406ffa46c
299
f172918b6b6c81a245018c5485f998b9080636b6
273721e04ed7e25ce17582a012504b74f7afa4d7
/docs/1.8.1/_sources/generated/torch.exp.rst.txt
9e202f8f0636ef70eb697855098b2a7406ffa46c
68
ff727f5f700fa0a916005c71a0adb1b9af168825
2fccefdfd0309b365b641acb6f120e016b0f98be
/docs/1.9.1/generated/torch.nn.AdaptiveAvgPool2d.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
35,609
21f7b19fd01bb6f4a0a6eafdf251d088e5fdf8d0
8750acfd4b4758a256ea03ff68eac4c9b798a38c
/docs/1.9.1/generated/torch.Tensor.squeeze_.html
9e202f8f0636ef70eb697855098b2a7406ffa46c
31,880
637ca3fd676392f17c338d1b36fd2bed6ec2ef18
69a8b7f49ec5eb4891107ae6b5c80c4284578c31
/manywheel/README.md
9f412fd25ca3685421e4c0ef3608fbc17d55285d
1,150
c31b0e8369ac6305f1ff8619f9c051800cd32562
405a474e03a5528cab42f1952e45cf27fd2c24e7
/android/pytorch_android_torchvision/src/main/java/org/pytorch/torchvision/TensorImageUtils.java
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
13,917
86629ef257a12b74d2c6aecf6f55d927529d19f4
5f9f9e9d6f906ed0f009256eeb58a4f7664d123c
/tools/autograd/templates/python_functions.h
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
308
534ab3690a317e7ecb0a92a7c2331b8ee550aa27
f4152d0af68bf39e1d612bf91e5a25cf92d5ffce
/test/lazy/test_extract_compiled_graph.py
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
6,372
c697eb5c3b5b60d98b3bed4a8b28024317b1dd4b
94dd4f0a5225fc252a3cb3ed09074b3833c52b9a
/test/custom_operator/op.cpp
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
2,236
665f776e5b3d8353777df985bc516b1042f90bbc
ced7d60f74fa65ad40fe1eb57bfc1c45c71b4d7e
/torch/distributed/rpc/rref_proxy.py
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
2,649
c37f75721de5cb1a58a4c60aeaa9ab720b420384
4be452537b81640582e96eafd494f667fdc19b4d
/torch/distributed/nn/api/remote_module.py
9f4281b3b85df353fc4e25c76c283a5e7b00d4aa
30,618
7d9123b98a14cac46ca5b546e0779444ade5f662
1f649c8217cbe29553edac8fc25ce65f782167f3
/aten/src/ATen/core/dynamic_type.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
10,309
aabd36f448af33d5565ba050484a3eff102be1d4
0778404e8bbfb55cb66fbdbceeabcf4192a79da8
/.circleci/codegen_validation/normalize_yaml_fragment.py
9f48458d8faa27159bf960c078e8efda9d5c7e80
519
447b75b910217874ead93ae1dc6c5ddc5ba50bd2
6a096b42f719189999bdc01767fcbcdfbb23c9ae
/aten/src/ATen/native/cuda/DistributionTemplates.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
27,848
29a0cecea9e42a8d319794e1de91ee0fe4aec43a
facceccf8028fcfc70a4c2aa320f3224b392e135
/aten/src/ATen/native/cuda/FillKernel.cu
9f48458d8faa27159bf960c078e8efda9d5c7e80
825
6dce0a364581aa30ef3b3869bb0224e26e177fd3
acc0d403808f6417c0ca71f1033308946274bcfe
/c10/cuda/CUDACachingAllocator.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
11,765
20d57bd1f618e2f3aae5108e2faf4dee9e2f8938
174020398bd9a7f448f09e7f7eea83cc0d94a581
/c10/test/util/SmallVectorTest.cpp
9f48458d8faa27159bf960c078e8efda9d5c7e80
43,805
3957be0d5dfe3c25c6b822df95746272375f5ce4
d045e97a25d408408bb9ba22892daebb55bf9e70
/caffe2/core/db.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
9,473
34c1df4e64eae94b26440452161234bcf222f37f
c4d4216ef9e97a29ba88c4567a4968107f85a5dc
/caffe2/core/nomnigraph/CMakeLists.txt
9f48458d8faa27159bf960c078e8efda9d5c7e80
856
fb7fbdfe757b1f5db5ccf3d053f1e6a0acf47c25
fa354389b46a893bec6d73b39bfddf02b25242c7
/caffe2/operators/logit_op.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
1,129
12ac2f149c73cc6d7f23163e2182d29d4ee8a92e
1beb24bc88038d8a0f9f32e6e2353f628c517b6b
/caffe2/python/ideep/shape_op_test.py
9f48458d8faa27159bf960c078e8efda9d5c7e80
2,631
c83880104bd0c1d56b5e316026392aa00972719c
993d5c91a07424431df531bbcd0981674d0ce2b8
/caffe2/operators/sparse_lp_regularizer_op.cc
9f48458d8faa27159bf960c078e8efda9d5c7e80
3,537
93f52d984ff3ae72a95a08212311e821720ffd14
dbc170e14ec3de522021707a9135c6d644ba4be8
/caffe2/share/contrib/zstd/CMakeLists.txt
9f48458d8faa27159bf960c078e8efda9d5c7e80
88
64b48c0d430e1077e65d8ae4c11fb0a604c5bb67
dbf65c45dae8a0ce261e36df11d9eedecebc1e11
/functorch/examples/dp_cifar10/README.md
9f48458d8faa27159bf960c078e8efda9d5c7e80
1,172
b2096ac3c85ca02740e11217a8dc1ab00b496396
a110163aef49b97ea8baeda23f46fb04e1b45801
/test/test_nn.py
9f48458d8faa27159bf960c078e8efda9d5c7e80
856,754
b912c12cc60fce0ae777cf553df016cba5832c1c
cb0c4650e69123e9075c8252ad663b3628645089
/tools/setup_helpers/env.py
9f48458d8faa27159bf960c078e8efda9d5c7e80
3,598
ffc3a075cfe285cd6a1310c8b3eb0e9943bf6b5e
d9c0a99f5f42caf998f7a74e6986f70717b0192d
/torch/_inductor/codegen/cpp_prefix.h
9f48458d8faa27159bf960c078e8efda9d5c7e80
1,779
fa5f21180b7fc190ed68fa17e45a0feb2ce2a799
a0f7f22638985998c2658add9e641992df74997f
/torch/csrc/api/src/nn/options/batchnorm.cpp
9f48458d8faa27159bf960c078e8efda9d5c7e80
209
90cf7330458916487fd15402a76b68a235d9250c
67e167ee1171029bd82932145e456f059981b297
/torch/csrc/api/src/nn/options/linear.cpp
9f4c128ef7167e6d14d03854e149a4f237f3bbe7
946
aa34f3c4dbdfc977ee70275c85f997efb83fa732
338359c964084a7a671a72607aa33e08b21c9921
/test/mobile/model_test/nn_ops.py
9f4c128ef7167e6d14d03854e149a4f237f3bbe7
13,713
53a51f26777eb5b37e20ac1f8ec794390f67b607
58ce22df6afeee444729ba60f0842d9524410e37
/docs/1.3.0/_modules/torch/nn/intrinsic/modules/fused.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
30,304
beb4075e3ce5c04bb4d0f1d1144904b95c3eec38
9f6a9f240f10780c4ce290f4e7f7043c3170c2f3
/docs/1.3.0/_modules/torch/distributions/dirichlet.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
39,833
595eec7829a04e918c767de20af442dec52a4535
3b8e6a1b144fc6170aed81a4c541603f7d946cad
/docs/1.7.0/generated/torch.mode.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
31,754
81b68807e5283adc1e272d8cff2238d01b93ad95
c952ae50826075567189ad221954f03177e7a027
/docs/1.7.0/generated/torch.nn.SmoothL1Loss.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
52,088
907c618015189bea890849d6fb600f98b0f96f96
8044844e3211d71130df97893b24b646386500b9
/docs/1.7.0/generated/torch.nn.Conv1d.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
89,325
762229addfe25649f756e3fc3258bc5e41d22765
187ed615640ed5bb97e216f6548aa6037d21417f
/docs/1.9.1/generated/torch.exp2.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
31,748
46a1711dcf901a40693d2aea2f0e87b3a0d27771
2829ba0e939b28d735a359ae438ef42ad23816a4
/docs/1.9.1/_sources/notes/large_scale_deployments.rst.txt
a00b1683fdf46ff0bdb67bae3f099d3718302656
6,387
97e7df1a75b683bfb2cd7cfa79c7c1f7d31ee376
607d12ed407a9d16710c008bc1180586d355512d
/docs/1.9.1/generated/torch.linspace.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
44,156