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
eb2d87ae26e0965d4dead2451cd6bc853ab52fd5
94d6da9f286845d750d2e82051ac5312f9e814b5
/examples/references/classification/imagenet/experiments/mlflow/setup_opencv.sh
d1b4d8697e6c509b8598045a317d1e831a773d93
403
cf10c0b91c068559ec75ca6ecfca6f19a6fbb67c
9b8b03207d0822472fabc9d7747644285156e431
/docs/source/es/tasks/image_classification.mdx
d1b54d4e97156aaff2f5e1e6d8a8e39eae57db0e
6,778
218cbce87b5599cac99dfa48d4bf264598c2ecbb
794124575e1316aed68ca7c718df5047682335ec
/src/transformers/models/data2vec/__init__.py
d1b54d4e97156aaff2f5e1e6d8a8e39eae57db0e
5,104
713f9ec0e2acee2e912e2c2aa952a167f6b1e1d1
a18d4d822c65977f0da4de8b1adef6bf153354e5
/aten/src/ATen/native/cuda/Im2Col.cu
d1b8c6df0b991aa824f5e7e951b7331de794138f
4,412
08311138005877383548d5a44c16491ef991b9f0
e880b21d650deafdac863230df8b85f9cfa84bc5
/aten/src/ATen/native/cuda/TensorFactories.cu
d1b8c6df0b991aa824f5e7e951b7331de794138f
14,843
73dfe9c0d2f07bdcfd85cff2db81ce43b5104faa
de564d9d3d5aab71d941fe9b7da6fc215e79a586
/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x8-dq-aarch32-neon.S
d1b8c6df0b991aa824f5e7e951b7331de794138f
17,365
6a3ae915a4e7146ba73ac4b4837af48829b33294
18deafa244695385958ef7d56e7312c76748f01f
/functorch/_src/compilers.py
d1b8c6df0b991aa824f5e7e951b7331de794138f
11,409
545ec2ca4f458b8c021fc949b57f0ff63bbbca2a
53812f9a1710c24e85a0054f38fd1236a233871a
/scripts/proto.ps1
d1b8c6df0b991aa824f5e7e951b7331de794138f
633
32b44c6238677dcbe62f8c2ea7d0ed162df543b1
885e688a0f19fcdfb63ed1d6cee295748d4398bf
/torch/csrc/jit/runtime/operator_options.h
d1b8c6df0b991aa824f5e7e951b7331de794138f
189
74467c2686082f4dafae943def27695f732aff6b
28300611c8751acbe80c4fb539bdfc1397a7bd5d
/torch/csrc/jit/frontend/parser_constants.h
d1b8c6df0b991aa824f5e7e951b7331de794138f
162
cb057c4d72ecb00ddd6b7ea21509a5af338429a8
d1af0e0fd50424dbad47281ba295c0375a74fc8a
/torch/csrc/api/include/torch/nn/modules/container/functional.h
d1b8c6df0b991aa824f5e7e951b7331de794138f
3,486
ba03bd88837bd8a790fcaf555db99cdfc4b70e65
9521d316167ac049f7c3bef457378fd45a2bdcbe
/torch/csrc/jit/codegen/onednn/operator.h
d1b8c6df0b991aa824f5e7e951b7331de794138f
3,977
a6a86b23ed9f5f18754ce04e8c5f17118fd5eb23
49fe6b4ea1b84a77cc9b2bc7ba80725142d00404
/torch/utils/dlpack.py
d1b8c6df0b991aa824f5e7e951b7331de794138f
4,434
36aa39dc878f5cae778c414ae98b19f49f882e63
44bc740d44c77702ef5fb4f4ad86abb7d521fb27
/docs/0.1.12/_modules/torch/nn/functional.html
d1b8e849d183c6513c1bfea155b6dd4527fc857f
146,429
d368474e96534a0e444e911b3fa62bfb5261e90b
8d9f2f13aecf482d0cb4603c6d5af146fe3d3520
/docs/1.10.1/generated/torch.Tensor.index_fill_.html
d1b8e849d183c6513c1bfea155b6dd4527fc857f
35,212
49d38d2f8ae2f9dfb30f79b0aa75f17d506258a0
f549dcd4804862f0bc0aa8216414fb6bd2caa26b
/docs/1.10.1/elastic/multiprocessing.html
d1b8e849d183c6513c1bfea155b6dd4527fc857f
57,538
a6962d98807feb748528768d9e16076eca619911
4a5c76f69b6e1af3c5ee2b7bebc8ddd40d1d7eab
/docs/1.10.2/_modules/torch/nn/parallel/comm.html
d1b8e849d183c6513c1bfea155b6dd4527fc857f
65,442
0bb3fc242e55a4dba101b448122f1ac580d519fe
66ab44b493ff2642220980f6c8f7e489c84e3a4a
/docs/1.10.1/generated/torch.nn.AdaptiveAvgPool2d.html
d1b8e849d183c6513c1bfea155b6dd4527fc857f
45,943
627789a22817ec7eaece4a05c936755c68daecbc
265e2cfe55d616c00d6b8f1cb25f80e36f77e261
/docs/1.3.0/dlpack.html
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
23,954
d09e79abdc5916ab752e81870e0646dea2968ec7
0f4721da084848b0d4d5eef6d0fc4fc34315d560
/docs/1.4.0/_sources/notes/multiprocessing.rst.txt
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
5,919
db817b6767018dff88da9232a8b01ce845475e31
44654983c162f80a642ef3df193574ce88d5cd21
/docs/master/generated/torch.cuda.device.html
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
32,809
108a95c4d4dedf164ca597d24f807d1d04b77122
c442110ce2cae88c4ee41438708dc072ef75cd2d
/docs/master/generated/torch.nn.functional.softshrink.html
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
32,800
571b84327da80a605bf19a79431fb0db074d18da
23be1975875be230b39d0882e10e7dc6dabefc0f
/docs/stable/generated/torch.Tensor.set_.html
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
33,484
929d1543121fef8a42793f2fb856f88549c41b79
0970ea764bd27f4e425622a86217ff738c96299c
/docs/stable/generated/torch.Tensor.acosh_.html
d1d1d26448f9a43ef5a4764c5a366f52697c1d23
31,782
173de185624acc9675ee633e2ca74ad353d6a126
ac4675965be2163808aaef8fa4491ae59f77e09c
/caffe2/contrib/fakelowp/int8_swish_op_nnpi.cc
d1e9260a405213d18e38c81b5d7a484e2a0719d2
880
7b697454d93dff7f34c5e40accbcdb1f8c34ae49
dc0f97f0f3c1f12291f4c96d090c58c4fb49301c
/c10/core/impl/alloc_cpu.h
d1e9260a405213d18e38c81b5d7a484e2a0719d2
178
b9decb461875346d6b3dd4c8bf3138d351a5baa1
3cd25b1ba60023328c33261c478911b9fa6a4de5
/torch/csrc/jit/passes/variadic_ops.cpp
d1e9260a405213d18e38c81b5d7a484e2a0719d2
7,306
9ee527fe1047f8648c137bd68b37e9acf9c390b0
0a3b833de55379c947e0b02c90cfdf4ed29f96d7
/torch/csrc/jit/tensorexpr/llvm_jit.h
d1e9260a405213d18e38c81b5d7a484e2a0719d2
1,822
c0febef9dff691e9aa297fe0588b24f849e51bc9
f565bf1abe2639f3eb0d37186198bf2a9685ef3e
/caffe2/sgd/fp16_momentum_sgd_op.cu
d1ee57a1202955138a2389aac166301dd3d7039e
8,437
6b4cf44bf2e8b9c90dbbdd8b14d7542b90ba52b7
ffe1155a2c4832a6cc2cf24d5cfeaaf70e2f4673
/caffe2/quantization/server/dequantize_dnnlowp_op.cc
d1ee57a1202955138a2389aac166301dd3d7039e
2,174
11ba35f722f3bd2a503b97e1b3f48f78dfb29a80
bee44e360e3f1103089b043463546a8a98ce435f
/caffe2/python/operator_test/moments_op_test.py
d1ee57a1202955138a2389aac166301dd3d7039e
1,722
39da524e29ec94a29f3d8c92288324758c77e0b0
b898de6de52448e5874891f953c36195f3ca0c27
/torch/csrc/jit/passes/peephole_alias_sensitive.cpp
d1ee57a1202955138a2389aac166301dd3d7039e
6,511
c364851153e76fa2bac333235af5c78cc21b9b65
bdfe318a5fadd24a0e734ded28096809f16a0b70
/torch/csrc/jit/tensorexpr/codegen_external.py
d1ee57a1202955138a2389aac166301dd3d7039e
3,708
357e01c0e2e89efbc79e32421e75bdcc62036ef5
4e49514d71361d091edcba7f284dae23e88e2368
/.github/scripts/export_pytorch_labels.py
d1f5260aae86fe5e402e44d6375ec232afb1b408
2,456
a8830b1564877f31b6dbde880b872acb487d556a
9242a1d177a75c625ac0adc981a0bfdb6d4ff153
/aten/src/ATen/FuncTorchTLS.h
d1f5260aae86fe5e402e44d6375ec232afb1b408
1,939
c9ec62afdbc83fe75e284f7089aa7701be4820ba
466ca37a4462678bf34cf4e3373201bc80189a18
/caffe2/operators/group_norm_op.cc
d2142a80e608aa7b10b122147529242ea6a0d863
14,608
16bf86e3ddb8ac530d34d8921e010bb2c59ce377
d41a207f563587e0cb6baa6ebfced8f9b9e5e7b4
/caffe2/operators/gather_fused_8bit_rowwise_op.cc
d2142a80e608aa7b10b122147529242ea6a0d863
1,272
a012c3a1e2d878217bbb582657bd1b4be094e81e
c909ace0a1763ac094211c78e5ab3b25af935800
/cmake/Modules/FindOpenBLAS.cmake
d2142a80e608aa7b10b122147529242ea6a0d863
1,660
ca2c258550ee9dd6f4581b9db814d70ae4746ef4
fb1dc6ab6dbfdc7e65ba8fea2da3e3113d72ddab
/caffe2/python/layers/concat.py
d2142a80e608aa7b10b122147529242ea6a0d863
4,849
2c26d646e5e73d09784e84ffff19e4803c1901d0
44257fa68c95fedf08ca4d8e5d1f0fb69becb2ae
/caffe2/operators/sparse_to_dense_op.cc
d2142a80e608aa7b10b122147529242ea6a0d863
2,394
a4ec974cd1e0d1edd56b6cf889ef3839d157be78
1422d16f3e57b01134cbe9677b8f82ea9b437c1b
/caffe2/operators/relu_op.h
d2142a80e608aa7b10b122147529242ea6a0d863
624
9dc49ef56fcf161f6403cc9b7e41f4d97851cd79
47c1c9d45e8142d565cb45088ee73a6cfdc86ca9
/test/custom_operator/CMakeLists.txt
d2142a80e608aa7b10b122147529242ea6a0d863
611
871772260b813bcc70a06ce34d1cfb9d570e2d82
5ea92dff1644764952e488e5cbcd738fca66bd55
/torch/csrc/jit/codegen/cuda/compute_at_map.h
d2142a80e608aa7b10b122147529242ea6a0d863
10,130
94070c5afcc7454391873e2064b47ede56943bdd
cfd4435461b97ec96fa8894a8614a65b6df6f597
/torch/csrc/jit/codegen/cuda/docs/documentation.h
d2142a80e608aa7b10b122147529242ea6a0d863
627
136fd2834bf9676fa0dc66e98059594dc606c029
4f13c84c2e90a193933829fdf88f987f1d7fcd84
/torch/nn/modules/upsampling.py
d2142a80e608aa7b10b122147529242ea6a0d863
11,200
4ac65e443eeb262cc186d660c646c0e565cb1f2a
0dc6ba92c7f9e979db286fe476b1672531633bb4
/caffe2/core/transform_test.cc
d242f364dd486c6a6e77b7b2d8f7c35cd1db5dad
14,226
8b76792a02e2b0f1513751cc004b24a46cf8b9c6
052bbbf4e6bf458863b63528b5d3c87dd18931e0
/caffe2/python/crf_viterbi_test.py
d242f364dd486c6a6e77b7b2d8f7c35cd1db5dad
1,663
9ed79fa99bc2541e02434725eba3150f9974dbd8
911ff1fdc3c3f0e554bba0920266740c0e94ede4
/caffe2/operators/top_k.h
d242f364dd486c6a6e77b7b2d8f7c35cd1db5dad
1,061
aaf3109e66520199a6be735dc0c4356d0b927918
80066d9f542d44a06572479e011fab20628776a5
/docs/1.10.2/generated/torch.Tensor.abs.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
31,784
2e0cbb9afbd616a238684dbbef0b1fc2e3618771
b559ba95ee91eaf24d92577f617b1d1657ebbc57
/docs/1.10.2/_sources/generated/torch.swapdims.rst.txt
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
86
be170fc07049c846fc01e097d0ff35d8009b69fc
82cb4c98ea65d8dcb94cbce69b9f6449117b9fdf
/docs/1.10.2/generated/torch.Tensor.numel.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
31,856
c612ebbfa1c2ed887f351ae623fde2aa2c9da125
06bc8d81a6d2627c5ffd8c3589b7d8dbf4d9e5f5
/docs/1.10.2/generated/torch.unbind.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
33,398
6e5f65ff8c9cd0e6fd56e5099cb917dd5b794f26
f19444fd85b44339454f210b34503d9fbc84c0c5
/docs/1.10.2/generated/torch.stft.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
71,151
5c261d5320bcac024a4cd8e55a3bbe8c4e9e324a
6f33d3f5f642546ea8dd831b60ce276df952de90
/docs/1.3.0/notes/cpu_threading_torchscript_inference.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
33,815
aecf6b059ddc06db69033871d7a58d28d34b3d3a
31f3bdd7f3cda3491e34af2a76d72f41843bbccd
/docs/1.2.0/_modules/torchvision/datasets/lsun.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
44,023
d56799cddbcdec6455e3c02ed0496fd7bc27da8e
3d04353cf76bba979881fa9e3126fb1da9902539
/docs/1.8.0/_modules/torch/cuda/amp/autocast_mode.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
56,578
36725550b359d1e7c381a82661636bc3d624d481
1ab9c85cf7ca100adad20b71295639d5e3fbd8ce
/docs/1.9.0/generated/torch.nn.MaxUnpool3d.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
57,173
cbb8655238062574bbf712f6b236ce50d52cce5a
f82555c09410762446b940a6327457b360ae6aac
/docs/1.9.0/generated/torch.add.html
d2c9a1826aae7a4a65810eb011c7427f5132eeb1
40,793
d7f4e3686449f9325b5aa24f6b19dc6f2551eea6
53a7fe3d430602ac0fe4307da44ee6616a77bb7b
/docs/1.10./generated/torch.Tensor.sparse_resize_.html
d2cd8743f68eb5cca18aa1eaecdc0a5d6f82d891
35,814
d7ae9a3a2a1cac8ac3c61700ea8a4838ec10cc1d
6e58503ceb2752a8a4b0b94b538b793f70c1f03b
/docs/1.10./_sources/generated/torch.unique.rst.txt
d2cd8743f68eb5cca18aa1eaecdc0a5d6f82d891
80
87daf25597e389023ae5e9b2f1fdf26871ca6514
f1957142ca50164556e4ab956661204c26651d30
/docs/1.8.1/_sources/generated/torch.is_storage.rst.txt
d2cd8743f68eb5cca18aa1eaecdc0a5d6f82d891
91
cbb41c350f96ac1953ea43c6f3845232373bed89
1a2b89bd92b2ff4893c83aa5a448de4769cc31b0
/docs/1.8.0/generated/torch.poisson.html
d2cd8743f68eb5cca18aa1eaecdc0a5d6f82d891
35,286
f85bad546f52d041cfc45bc20b107097d72c4e9a
645bd900fa9a6a120b6ed0043de4ff3cc6c0d5ee
/docs/1.10.0/_sources/generated/torch.nn.functional.glu.rst.txt
d2d21f62cff5bdb7e43364c68493d026fef26b9b
113
9e8e5e726d97009244835e7bb4258d3c7025e12c
e8208d8b57ebd774f765c55f77aa0238c89eb7df
/docs/1.10.0/_sources/generated/torch.nn.LazyConvTranspose2d.rst.txt
d2d21f62cff5bdb7e43364c68493d026fef26b9b
272
6f5ca003d1623d442fba6246ef64eb9b945f3396
56179d30bebf69895bd0eb8bc009c873369a68f8
/docs/1.10.0/_sources/nn.init.rst.txt
d2d21f62cff5bdb7e43364c68493d026fef26b9b
528
fb4c0aa181039fd305b7e5394be9b14194c379dc
b61fb73ed679a1c07b5d7e08d32a922bbbfc61f3
/docs/1.10.1/_sources/generated/torch.sparse_coo_tensor.rst.txt
d2d21f62cff5bdb7e43364c68493d026fef26b9b
117
d453239f92de4f06d1934f1c8e2a94c63488de68
106384d747eec2772e26e10f0198677963e4a28d
/docs/1.10.1/_sources/generated/torch.save.rst.txt
d2d21f62cff5bdb7e43364c68493d026fef26b9b
74
4a0d942cfb873f895f606a452b00ebab4b7e57f8
c24fcaeb7e0c7d096618dff0a9f684394772f9f8
/c10/util/TypeCast.h
d2dea3f64766771dd940faac02018cd9ccef6e25
3,958
90d2539bedebdb37e3d742306977cca6e7a5512c
c306a584ded5783277edb52b697de5bb784e98e0
/caffe2/core/plan_executor.cc
d2dea3f64766771dd940faac02018cd9ccef6e25
23,965
f8f77a396fa6574d4ceebeda3b6d5331b78c8db7
ee595b5c8d7189e7870b17479e462132346cd84e
/torch/csrc/jit/codegen/onednn/guard_shape.cpp
d2dea3f64766771dd940faac02018cd9ccef6e25
1,478
fb09f6e932e6f505ea6ad4c4efeeffd5422c98f9
d93e34f87c6e952d69e7fe37afc67a6a55a3d47b
/torch/csrc/jit/passes/onnx/pattern_conversion/pattern_conversion.cpp
d2dea3f64766771dd940faac02018cd9ccef6e25
13,751
fa515fcfe403de5a00185b53eba4c758ad0fd77e
5d7831659fc1cc819592fd7904b906a66195346f
/torch/testing/_internal/distributed/rpc/dist_autograd_test.py
d2dea3f64766771dd940faac02018cd9ccef6e25
107,769
8b70cd0bb37b651a2075be1867ebcb2e576521de
058b6a543a5308960187b1a24dd4f30a9fe646e5
/torch/distributed/pipeline/sync/skip/portal.py
d2dea3f64766771dd940faac02018cd9ccef6e25
7,251
6977c85ae41e21086481f2c826a38301961f3b9f
bfbdfafac055db35611e36613c2ca6b6d47acf98
/torchbenchmark/models/yolov3/data/coco128/labels/train2017/000000000071.txt
d2e079cbb3fb421064e6d95538585d79c6668800
128
bc2a8cb32e954c27a11e5f30f861f7850f5d3dea
bde6f02e7b2aa9617f98970ec5c89a7d1b2d2848
/docs/0.1.12/_modules/torch/optim/lbfgs.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
74,809
d4d3cc665e4cf8755ee5456149d01e79082b0a44
1a9d0da936f8811fbc166826f2febc609957604b
/docs/1.10.0/generated/torch.optim.lr_scheduler.CosineAnnealingWarmRestarts.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
64,613
9d45ff3f3965315b110e630912108560546a0d9e
4533d6c03797bd59ec9667ed66b5468a08a72c40
/docs/1.10.0/generated/torch.rot90.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
35,348
78f9b4c1c08867411f91f3745c3369455720fa33
575f6823e4762f1c5ad7dd4ff7229a51537eb6e4
/docs/1.2.0/_static/images/logo-icon.svg
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
801
7a9554f275b96853cde41f1657971ec1c59a1965
d4a0f49f2c637b87ce8c3f3dd71f8a9acbc81016
/docs/1.3.0/cuda_deterministic_backward.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
21,960
b5ceb5560305556f897d56461c513cba6c09ca5c
85b34f10191702167d1d8cf2ceca3fb22b644c98
/docs/1.5.0/_sources/torchvision/models.rst.txt
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
16,599
ee3b363ee6f2a4abab2a80a24364a00d5ad6d9c7
056e6a2fb7b1a36edb0b28e8d1ae677084f5dcdf
/docs/1.5.0/_modules/torchvision/datasets/fakedata.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
33,980
38009c6b6112693178523854a4674810de782168
09a8f29b41845f38be06997df0a50b0bd66861a4
/docs/1.6.0/_sources/autograd.rst.txt
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
6,975
f1536514db210ec6a262658035d716df3148417a
986c3303601baf2ebd4137584d9d9b95ecf338c3
/docs/1.6.0/_sources/cudnn_persistent_rnn.rst.txt
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
321
ceab02f1477c1f249682569830a233a6c23f693a
cc809cedf2c7641f74eb1d250964705620e8b55c
/docs/1.7.0/_sources/generated/torch.take.rst.txt
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
71
4b101f25d9278e275b3657ebcd10b54e207aaa05
d0185f96cdeb90e72fb7e43963e8932037b22ed8
/docs/1.7.0/generated/torch.nn.BCEWithLogitsLoss.html
d2e3805a9649f758a665ba03e07295e0b6ed4ca9
78,275
4a0de0878e277962186dad5adedf280ed16b0bc1
b261911b95a16a330ae4c17a995232eb4c884e92
/modules/detectron/roi_pool_f_op.cu
d2e4980abfbc21a6a339168e77dc2508b2a6b7e7
7,396
152da6b1f4f9de396ffe9fa33652025e3dbaf5da
af8c29bbbe1f1f20dfcf66d410696bf076d15e7b
/test/onnx/test_verify.py
d2e4980abfbc21a6a339168e77dc2508b2a6b7e7
3,386
07904fbdebd88e7d6d6cd98d21aaece30d93306c
f3060005dbdd4beef2d6a7a240b4afdb9e9a4186
/torch/distributed/_sharding_spec/__init__.py
d2e4980abfbc21a6a339168e77dc2508b2a6b7e7
520
7cc5edf1c17fa21d965343468faad1e11d8764a1
c6add3d336cfcfe28571aa0a5a42854548748b96
/caffe2/core/net_dag_utils.cc
d2ef405bdd20b9739255e53dfb5be63921712a2f
17,968
3c062a77ab2f060c6a609e5bab71b77a39f349a5
448e1cf858849aa90a7cb7c006c42a1c652d4fb6
/torch/csrc/jit/codegen/onednn/layout_propagation.cpp
d305f9ef6e035287c9cf0f3acd5b4c98f5c7f236
1,078
1da2c9e5f7e631d4ac05b770ec0e6a86102658da
4c6cab4d35748c6108eb95257a0f238c19994982
/torch/csrc/jit/mobile/parse_bytecode.cpp
d305f9ef6e035287c9cf0f3acd5b4c98f5c7f236
7,441
6d5e0d4d6835569e48ba14b2a5aabf158e7923d2
77bd3ccff59d47f815ac215b7b2f8f08f3521a7c
/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py
d305f9ef6e035287c9cf0f3acd5b4c98f5c7f236
782
c6784e207b793140334658bde3f001bd432b4a7a
40132aa574040923770f8176a3952316f72073f1
/torch/csrc/lazy/ts_backend/dynamic_ir.h
d305f9ef6e035287c9cf0f3acd5b4c98f5c7f236
2,511
2601151f4e985e48125bf5a4dba47120886dfd50
3c81bfa46b3c9196dc85ff551759673a7526b07b
/docs/1.7.1/_sources/generated/torch.nn.GRU.rst.txt
d30f31cf11d84753b03f347817582961791009fe
221
5e470e2e0310c91a5431637891a9c8e40a3bf762
66cb5d67eea641e8f4441a5b56a2fb9c6972b021
/docs/1.7.1/_sources/notes/ddp.rst.txt
d30f31cf11d84753b03f347817582961791009fe
9,081
95b3db049dcbdc59e1b107639b3ac3b79baef896
8d8fd187639837c43ae14037586fec04485edfe0
/docs/1.7.1/_modules/torch/nn/quantized/modules/activation.html
d30f31cf11d84753b03f347817582961791009fe
44,615
2f4c7e464f435a8b4ee7a2e27078709fd5797f98
fec81b45ec1a64b9cab3e26f8491bbea261fa209
/docs/1.9.0/generated/torch.get_num_interop_threads.html
d30f31cf11d84753b03f347817582961791009fe
31,842
68878f3954c49144976cfd1feb0d8c34e4ff4ae1
c81c92d1198270e9390c419e89c7476cb395dfa9
/docs/stable/_sources/generated/torch.conj_physical.rst.txt
d30f31cf11d84753b03f347817582961791009fe
103
5187e3dbed633df2611f022c423a352e039cacf1
efe060918bc327b5a4ba6e46af1b81eeb6467626
/docs/stable/_sources/generated/torch.nn.LogSoftmax.rst.txt
d30f31cf11d84753b03f347817582961791009fe
245
109af81f9aa5e6e64dcface97fdde03353901760
56b02dd1818a12f5abf2890febabffd9c3f280ea
/advanced_source/cpp_extension.rst
d3146821ecf6cf71fb14a8d5d4bad39904fb7ad8
49,521