blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
de8032cb60f076a87a57dba4475af866739cde8b
8ed298c3c98a919bc48ac121e1d196cb76edd4c8
/tests/test_average_checkpoints.py
c11e7c764d8b64b75c816aa70968bd9600eb2407
4,494
ea5c84e953e10eb2d98d643522d324f444730acf
b5660747997d4eb1ad56f79ec2d1f519921c05c2
/aten/src/ATen/native/cuda/TensorModeKernel.h
c11f5f489d5bf7c0ba9f82289c48f27308c1db5a
431
5184b9f51da2d89989d728b1f11101dd53de4f49
10e592cf59eb751bbd556597905b4c4279229eaa
/aten/src/ATen/native/cpu/ChannelShuffleKernel.h
c11f5f489d5bf7c0ba9f82289c48f27308c1db5a
299
af88d5c2230f0ccd3294f7249e56ee80287a3a24
151ad398b6ce1654f1d2ecb53d9fa493d9ebeb3c
/caffe2/operators/margin_ranking_criterion_op.cu
c1524c0a83bac4cd2e45d3962920dbc6b917435c
2,703
775d2bfd8887d02fed883718e63595ca10d1ce5a
c578003d8cac1bea41d699b539e242bd6bb3063d
/caffe2/mobile/contrib/libopencl-stub/Makefile
c1524c0a83bac4cd2e45d3962920dbc6b917435c
372
e3388389001d9a4c9cce0dce1594215f78a1c959
341c575d87aadc0f6cdc59c9daed3eb5d94e84c4
/test/torchaudio_unittest/functional/autograd_cuda_test.py
c166ffb39100d81cfa6273953c239928ae3985a3
435
f48ad02a1442e3d0a72b9c11b4d7ebeb7243510d
99bd8c2d06d71ca1f60354c762eb8933eccdea89
/examples/research_projects/information-gain-filtration/igf/igf.py
c1687524bf53e35fe02855516f2a190d925745a1
14,502
a376ab67905919f16b8462b1e16ee27011c7d14b
cbe2f54f22731d59ea69540aec58b182cc8a1796
/examples/tensorflow/language-modeling/run_clm.py
c1687524bf53e35fe02855516f2a190d925745a1
27,030
1199b52c006f58e95aa8d43fa063e7bf3d18f096
f9408b84171d3ceb874417191522373a8eaaafde
/tests/models/roberta/test_modeling_tf_roberta.py
c1687524bf53e35fe02855516f2a190d925745a1
27,412
63953db3399d8678382fa6789754a9562b8c0569
2397a40bafa6b1fffe695593d1716cec32670c31
/tests/models/longformer/test_tokenization_longformer.py
c1687524bf53e35fe02855516f2a190d925745a1
14,733
9fb6e84311f71891b02ea0705a40b62a60397e63
4bfeea1878142de1b7b9890db5f7f7e6f6e6d3a3
/aten/src/ATen/native/quantized/cpu/qnnpack/test/q8avgpool.cc
c16936fe4b1f023574d5caf52d477424199167b2
55,954
27bc33abfa72b80ecc06100fd0f54a0833d1c584
4de506cb65262b9c5261c8187b59cdc0051e9302
/aten/src/ATen/native/metal/ops/MetalHardshrink.mm
c16936fe4b1f023574d5caf52d477424199167b2
3,955
68e4acbf0c4ed1e4a0ac62913d6d169be686b8db
77e86020f28a94293833979cccf6edbf66040a4d
/benchmarks/cpp/tensorexpr/bench_batchnorm.cpp
c16936fe4b1f023574d5caf52d477424199167b2
6,196
90c6cd3837a5a80f0f6fc362a39bb38879c96133
c1a56f070be5da47ee076ea83eabd79ec2e43560
/test/dynamo/test_minifier.py
c16936fe4b1f023574d5caf52d477424199167b2
10,936
461abb0701a1ced9acee9d9680f3a7753e3d3846
643789e8d0b0a0fedf697580c4d4eaf1ee43d24c
/tools/build_defs/default_platform_defs.bzl
c16936fe4b1f023574d5caf52d477424199167b2
617
f5bf1d0c1a2ae2b358080c7edf4c5110a0a2b94a
20912b56961c52599f0197b5b0bdc12358f88b39
/docs/1.7.1/generated/torch.rsqrt.html
c170d6aefbb1eb2d54103e8fdbffef08c6ade1fc
35,826
acf6930480d853e1013ecd103a3e6d916d1e9264
82fc0e25e8d007a7daca74552d0e12aed6872dcd
/docs/1.8.0/_modules/torch/distributions/von_mises.html
c170d6aefbb1eb2d54103e8fdbffef08c6ade1fc
56,124
02f8d8c6b03f1dc7003ff07ac778a4473347c0e3
0e36a216af2c540f0fca64d5870740362f9e55f8
/docs/1.9.0/_sources/generated/torch.Tensor.sign.rst.txt
c170d6aefbb1eb2d54103e8fdbffef08c6ade1fc
90
703d3312cd6b3c83625571ca371c856e47219503
b9617cf701907cb93da891a31882c5bfd505e223
/docs/1.9.0/_sources/generated/torch.get_default_dtype.rst.txt
c170d6aefbb1eb2d54103e8fdbffef08c6ade1fc
114
7655189dbbef82a7e687952402f0d68713e6c1e5
2cd920ce6e2be54f57e14994b517ab9ac62d792d
/tests/models/caffe2Models/layernorm_neg_axis_pred_net.pbtxt
c24588b540849c64454c47cde0a34fb880796535
226
315ae5185a5d1aca568444343af8819062c5d4a2
e3d753e55d5ffeb32f2cca8f8fd608719d71d35d
/tests/models/caffe2Models/fc_4d_first_axis_init_net.pbtxt
c24588b540849c64454c47cde0a34fb880796535
206
f31fbf33b742bfa32da29e0cdce3a9e0d543b07d
a2baf78750c6654d59ba0688c810aa147c810a20
/lib/CMakeLists.txt
c24588b540849c64454c47cde0a34fb880796535
1,076
889e2ef02eac13e7e86d89243b4ac550cfd28b87
1afe27f43b4e53582f7ff7124f0efc091002ce27
/src/transformers/models/nllb/tokenization_nllb_fast.py
c25af6192468fc31ea007f91ef494b8eb1590879
16,313
de1846f9158cd54c041f43b0a313668fbfef58c3
2684500d248db9b68a3feacd2115fa28681304ad
/examples/tensorflow/multiple-choice/run_swag.py
c25af6192468fc31ea007f91ef494b8eb1590879
23,325
7d8afe96a8785399eb59851675e5900781b33954
31387b4a5e0e3efcbea07f9bf132d0f5b5762ef1
/datasets/text2log/dataset_infos.json
c2873e36d7b401abcc0635c49ded2bc2fe7f4b77
1,419
a6237655c9270a9960badbbf3635205e0418ae72
251daaf6634c75086abd04d8e23ff035119e85a7
/src/datasets/tasks/image_classification.py
c2873e36d7b401abcc0635c49ded2bc2fe7f4b77
1,218
eb2f876ece651f1db97b8902165bd85ae244f0a6
db618abae5b1846a843f9b4650379e1cbc13bf59
/datasets/taskmaster2/README.md
c2873e36d7b401abcc0635c49ded2bc2fe7f4b77
7,798
7f838446f2580372f2a902391cdf3d97f669cadf
90a634746c0a5276138902e852e269fad258d7fe
/test/torchaudio_unittest/functional/kaldi_compatibility_cpu_test.py
c29fb7149fd9def9dfb28c8d1a10d8cd3aede9d0
472
cc5f2c7de1933b2318fc1c3f83ab1955aea436c8
6f607ba7518e2346e16489195fcdbd111320996c
/packaging/vs2019/activate.bat
c29fb7149fd9def9dfb28c8d1a10d8cd3aede9d0
1,203
242292dd7f7918a6a19a107d8a2943dc09c5a093
8204c6958b055a745b0929e46c517cc59d7e246c
/docs/1.7.0/_sources/generated/torch.diag_embed.rst.txt
c2dd336a86504457d77363c665045ed066101426
91
c27f8fed900551e32da6a62a5d37b30ca5b3426b
39d62acdcff17fbdec3830a1a9e7d10ed3b50240
/docs/1.9.1/_sources/generated/torch.Tensor.resize_as_.rst.txt
c2e0169ed70152ca54aa8fe2347d129f715841ef
112
53ffaef9f4a087c9626c8a82173857e21ee73a1c
0be1dd7cb598dc9f507a56893f278700c47f9a70
/docs/1.9.1/_sources/generated/torch.fft.irfftn.rst.txt
c2e0169ed70152ca54aa8fe2347d129f715841ef
89
d528cfbd4619ea7a19ca732248b0b1c98d60560d
4933e99ac652862e14afb744f9fa941564ae8641
/docs/1.10.0/_sources/generated/torch.autograd.no_grad.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
223
6a67276ba88666be632085c4694a0d6ca2754ddb
fca38c1ad6c44863e27b2923f2ba4da87667072b
/docs/1.10.0/_modules/torch/nn/quantized/modules/conv.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
162,526
8471c5baa76841c5f7653a4397ed7d6130746c78
2b86e81bc9962ec41296ca084b5f7d2bc40d05e2
/docs/1.10/_sources/generated/torch.bitwise_and.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
97
27fd5f0a95dff79693d151ad3a75224e2eac9051
7b34f689b6b945114f0827b6c974b56f8b1fda84
/docs/1.10/_sources/generated/torch.Tensor.square.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
99
e2dcd7db76693a006accb1c75ba43e9b6fb43280
2a3da2baa622489d61fed8cacdc5e4642d00136f
/docs/1.10/_sources/generated/torch.Tensor.median.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
99
66109f292b4d5cca7478f7e149d42918c5bc076e
27a13f429698dd5a9bc4fb3dcfbbc37d834542ec
/docs/1.9.0/_sources/generated/torch.unbind.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
77
014b851842a3999daf2203a33f78ac09459b340e
0566d6ed5eaf9a89adc70b61cae3e881ca283c34
/docs/1.9.0/generated/torch.Tensor.expm1_.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
31,819
d1cc1b79bcb9babf709e46d7a78fb9d470cdf540
ac64de14abe33e5ff1e965c6ab11dfd0e7bf37e1
/docs/1.9.0/_sources/generated/torch.atanh.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
74
7e43449b7f16e903f56f162138986460c96fa633
e83149a6a7f4cce4142ea445f6307faa5989f962
/docs/1.9.0/generated/torch.nn.LSTMCell.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
64,576
9391eeae3e49ef06bf96d5e79a8945d8d014d4d6
c9fc5547b259db8d13832b2185d680c3f9c7d009
/docs/1.9.0/generated/torch.nn.RNNCell.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
53,488
4c3a0c77f4e4cefd2ab12e0815194941812b2c44
c656194abc3e447df2f66c86c99f53507e32709d
/docs/1.9.1/_sources/generated/torch.ldexp.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
74
afee1aa16eae351c18233abc43b17377f2e33839
e2cc853d7ab2b3089cafff1f9c8c7f40da497b47
/docs/1.9.1/amp.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
93,741
1eb6554c37de295b5e8171b05cfc321dea045c6e
0cf11661956a07bc6da9f5abc9e757e68f4f1aa3
/docs/1.9.1/_sources/generated/torch.rand_like.rst.txt
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
88
722228e081d6ba419f3beccdc23da21c1e3f6986
7b3c3547ff902404887ef07ac9eb71c9df0c2f88
/docs/master/generated/torch.nn.functional.grid_sample.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
66,338
7e3da9046e35707cbe6c6339faa0121175f08423
e5066eac657ea00f8db700c0d47a118a3d721e8c
/docs/master/generated/torch.Tensor.matrix_power.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
33,854
a81ebf831c778927b969ecf8b3f966d1180fe86f
a09085e5f6098c986cc37a105b80126ce6c2edb9
/docs/master/generated/torch.Tensor.matmul.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
33,198
cff7861011c618982225c038d786e2dba156ad74
3160171798757bbd9536c36228f84347ae480d8f
/docs/stable/generated/torch.Tensor.view_as.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
33,192
670e398aadc9bb73d69a0ac405a6e6eedc98931e
31f2f2dc797c1dd27b4f98c10b60a81058dbffd9
/docs/stable/generated/torch.nn.LazyConvTranspose3d.html
c2e468c1c5e2dc044dc44ad7a3569071c43adf7f
39,683
1eb34240026a76479efa5cadaa26d140b4c03071
167dce699fcdc5849c3a95cd2f0580c813da5608
/docs/1.10.0/_modules/torch/nn/modules/activation.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
167,405
2753ee9e06fb9d2d9285b1c047bb6729c11fc107
1b7137ab3ac91e3c9fd8a933b170a4d43ff61a8d
/docs/1.10.0/_modules/torch/nn/modules/distance.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
41,051
e478043b0c1a6380517f5d37114201775c1f90a2
a6f77081ef422237725f95d75f24cf4633c68a05
/docs/1.10.0/_sources/generated/torch.nn.Dropout.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
236
b38a237c1b4aec045bd193edada965f2a2df238c
a645c3d3ca8e23f35d8f597ab747089cb3f19ed3
/docs/1.10/_sources/generated/torch.Tensor.is_set_to.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
112
15f38c7fb89f141ed44ad09d0b354640fe4038fb
9a8a0ab4c515c8b1aff2c5b09f5c8e9d1f95a3c0
/docs/1.10/_modules/torch/nn/modules/dropout.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
51,606
b5ceb5560305556f897d56461c513cba6c09ca5c
85b34f10191702167d1d8cf2ceca3fb22b644c98
/docs/1.5.1/_sources/torchvision/models.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
16,599
0239b5a157495e31922abd004e8e0b44ac86fb58
624b32c9fdb105c3d47898478a6bad548f696e71
/docs/1.5.1/_sources/org/pytorch/torchvision/package-index.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
141
7a289305b0fa188e146fe9ff8071119bdf5dc923
d3b61d8bb99e48bd98eb68bec0918f61d020e95b
/docs/1.6.0/_modules/torch/nn/modules/instancenorm.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
54,260
f1d0dc25c598561411a1318d3d8e28e1b5817270
56e3af1f53b2dd0022086c2c088acedf53f90e4c
/docs/1.7.0/_sources/generated/torch.nn.CrossEntropyLoss.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
260
a57507782283dd9faf19d75a47e22f11f519fcce
b4018c5a629f6db996a4908d066af833cf238c59
/docs/1.7.0/_modules/torchvision/datasets/fakedata.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
36,036
b1e0787df65df6e5bda1f068681406eb0037dbde
79e0c2f1085f0f5b196c907e36cf397631e688ea
/docs/1.7.0/_modules/index.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
44,272
5a027cda39601315a6a28f890dd4121220722d2b
721ec1f8a070f7e63d48a7556684bbc34f6cfcb8
/docs/1.9.0/generated/torch.nn.functional.mish.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
34,211
c067486adaa01a0bf925207a950e1a630f877658
9ddf1102c09a95f2eced7e4e86371be490956ac2
/docs/1.9.0/nn.functional.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
145,830
fce99eb1f3d9e2e33a6f8a7ecaac65de5620b2c7
7662058263c1f3d3a148c4acf4a101a6fcd71fcf
/docs/master/_sources/generated/torch.nn.AdaptiveMaxPool2d.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
266
daef068e8bd1914e66ee94c06ea5c5cf959bd016
13dd4ca551f7eb00b2d05c881ea8f7be593e30fa
/docs/master/_sources/generated/torch.nn.PoissonNLLLoss.rst.txt
c2ec2ae546ee066585c8a86674bee3b32e0c698c
257
2dc2293f43d2f9ffe426f6426cd1d2ce87a19bf3
ca1b4f2085202cd144e202963d3aadf24ceec80f
/docs/master/generated/torch.repeat_interleave.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
40,677
5c4ae98d98c66e00bb47b19bde8af5746a95ce11
34c65c102760e342e75982f23483ca67272862d7
/docs/master/generated/torch.quantization.qconfig.default_per_channel_qconfig.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
33,715
5cc58d3d0e74125cab370b96ae422395af4420fa
88cecd6e0650ce87a069e23b2b217a2e86eaa60a
/frontend/server/src/main/java/org/pytorch/serve/openapi/QueryParameter.java
c2f2eeb4104ea721a8706a61dac750363e4b098d
901
adc83b19e793491b1c6ea0fd8b46cd9f32e592fc
8b137891791fe96927ad78e64b0aad7bded08bdc
/events/episode_12.html
c2ec2ae546ee066585c8a86674bee3b32e0c698c
1
a752c074d07476fbd0fb0efae2d665904a638a39
84192cbb2a5f09db8b07b36f5087a88df381a715
/docs/1.0.0/_modules/torch/distributions/categorical.html
c3008ae2aed0078c93db8185de85d6ce3e420889
42,900
623f314e3adf13e10923923e56e3a5a76a383167
23c9f6f5c10c7e470effb31db2aa2c97fa5c1322
/docs/1.0.1/_modules/torch/nn/modules/pooling.html
c3008ae2aed0078c93db8185de85d6ce3e420889
118,840
b7ee46458aea5bbb361b29e37bbb3a25cb0feaeb
0074c012e321fc6c73f37f4d4fb5c4daa0d37556
/docs/1.0.1/_modules/torch/distributions/categorical.html
c3008ae2aed0078c93db8185de85d6ce3e420889
43,542
a5ecffbb7985bebe20c581ba2e3e452d3f2a5792
e3882def16b8f47dd5c8df26735919517066153b
/docs/1.7.0/_modules/torch/serialization.html
c3008ae2aed0078c93db8185de85d6ce3e420889
149,007
6a341741f3062679f01a701176be3818bede5fcc
d6840e31994f724382a9987860b0159d53df3eb8
/docs/1.7.0/_sources/generated/torch.is_nonzero.rst.txt
c3008ae2aed0078c93db8185de85d6ce3e420889
91
cafac418b2e85d2d719f44f7c4432608a8601bd0
cba55627448fb24f3fed5e0312892e2b163b8298
/docs/1.8.0/_sources/generated/torch.mv.rst.txt
c3008ae2aed0078c93db8185de85d6ce3e420889
65
80e38d08ea49d072f24812fcb48b3bb19b33f914
abfd922b21cc8dd7d8dc21adfb9fc72c802678a6
/docs/1.8.0/_modules/torch/nn/modules/batchnorm.html
c3008ae2aed0078c93db8185de85d6ce3e420889
100,989
b380190cf6f54a1099419b6f7369c05536944a79
99e449bb3d9c778fdfd0e29e44d8e2002c86dd79
/docs/1.8.0/_sources/generated/torch.set_default_dtype.rst.txt
c3008ae2aed0078c93db8185de85d6ce3e420889
114
cded9d6ee11bf5ef3e9efad3cdf5c6a7203ffe25
52de63d54d6f59147bfc7c352c23a1fa4e47ff5c
/docs/1.8.1/generated/torch.rot90.html
c3008ae2aed0078c93db8185de85d6ce3e420889
34,458
1e0c0c7f3f04a92e85677f2d65889e344192075d
6ce1a1eabe25ebe4210fb8e6ee583ea01d40700a
/docs/1.9.0/_modules/torch/distributions/weibull.html
c3008ae2aed0078c93db8185de85d6ce3e420889
42,971
59d1e654fbadf47ae53a102cbb0a92f058d98b31
4cda823abac93270fa89bb0f416e4a6a7e21f935
/docs/1.9.0/generated/torch.Tensor.sub_.html
c3008ae2aed0078c93db8185de85d6ce3e420889
31,846
8a71dcdd4961c4542b133ed25c838f66b47c0e0b
f9894cf65a2271026c8ceea76efb285db6d6ac16
/docs/1.9.0/generated/torch.broadcast_shapes.html
c3008ae2aed0078c93db8185de85d6ce3e420889
33,708
dae3aa5e457102845c64459419617befc5bdc14f
e830703536e52ba65483446e89bf014aa09ea100
/docs/master/_sources/generated/torch.Tensor.split.rst.txt
c3008ae2aed0078c93db8185de85d6ce3e420889
93
4cec82281fca507f9576800572e2f6378245f892
4c25b0a82011b990fe69ec56726d33a2d9cba545
/docs/master/_sources/generated/torch.Tensor.sub_.rst.txt
c3008ae2aed0078c93db8185de85d6ce3e420889
92
888ef52ebd99325db3c54afb3066195f785d1b03
e711a53ace2f45aef725167a5b302b415ab24a52
/datasets/lambada/README.md
c301d3fb6074c8e7fd22c125ed2379fbdcdab6a9
6,721
7606b07be523ab00817760b227aed6ec07a92a92
69f4fa1d681ac1dadc0964b5af91cde36148bb4f
/datasets/financial_phrasebank/financial_phrasebank.py
c301d3fb6074c8e7fd22c125ed2379fbdcdab6a9
6,069
7249bc2c4d08c8cf38470ee13ed3ba5df3838a6f
94ec610d9d03e14c3e985e5dad2ffb11a5956280
/datasets/yelp_review_full/yelp_review_full.py
c301d3fb6074c8e7fd22c125ed2379fbdcdab6a9
4,386
d87ca50a35cb0ed99e16aacc76ddb82e7f04b0c0
094ea74756eb4aacc0ee962ef4c87658cf889800
/datasets/universal_morphologies/dataset_infos.json
c301d3fb6074c8e7fd22c125ed2379fbdcdab6a9
939,628
8352b3c5dfebeab30accfd3c2135bae7f36be1da
61148916884c30fcf2b9e0655574e5cb6aa23d6f
/docs/0.2.0/_sources/storage.rst.txt
c304f56580dc4b2dec13f6fbc4ff1c72d203073a
308
47addfd9ec8ef1c6f74cf2904d461058b8a1a09d
eb79e6cdd1704a761c1bc669f3836425c793a4df
/docs/1.10/_sources/generated/torch.nn.functional.smooth_l1_loss.rst.txt
c304f56580dc4b2dec13f6fbc4ff1c72d203073a
150
da0b6af7b16f74f5993c3c27bf129f01011c3c5d
f53813eec215b3ade624af0599e8c5d67929280e
/docs/1.10/_sources/generated/torch.nn.parameter.UninitializedBuffer.rst.txt
c304f56580dc4b2dec13f6fbc4ff1c72d203073a
282
04defe30ff724b9fbd9eb7367f0de636b3d65f5c
54ceed82c264a13e80b7023103ab8a331362268b
/docs/1.10/_sources/generated/torch.nn.SiLU.rst.txt
c304f56580dc4b2dec13f6fbc4ff1c72d203073a
227
d1227beac2e77c117e139a0291c7f37a82dda151
b951efe0747b8493655064c41aac79c73adf4ae2
/docs/1.11/generated/torch.Tensor.masked_fill_.html
c304f56580dc4b2dec13f6fbc4ff1c72d203073a
33,864
04b59e8d3f36c91c7c1de585b64e94b8575195e7
312f6b85739acb24912749b76910a299f9856a0c
/docs/stable/generated/torch.fft.fftfreq.html
c356166e27ca0adec7a7de03bf3f92cc4a877a38
41,039
f9761f48fcfcc96a0bc8783b9dc1e1bf209bbb93
17538e93a34069dd459a8aa2e1dc562f05fba6eb
/docs/stable/generated/torch.Tensor.sum.html
c356166e27ca0adec7a7de03bf3f92cc4a877a38
32,618
a3524823f8ea738e6c48cea59daad9b4701dcfe3
9249c182dc6c121c6d82d6892c80eaffa1e9f333
/caffe2/operators/load_save_op.cc
c3871594422a234bce9ed7d6b1ad1683c8730445
18,174
358baa9a7c295dc84d88be12d3692b044e1e71d6
4d3023cfe292d8b02b2afad9b5505b1c63936407
/caffe2/opt/custom/in_batch_broadcast.h
c3871594422a234bce9ed7d6b1ad1683c8730445
488
4664dc6dc4f5820c581d7a299d54fd9e843c8db6
702981ae40519ce966c6b04a52c4dc7023b12522
/caffe2/operators/free_op.cc
c3871594422a234bce9ed7d6b1ad1683c8730445
408
87d640d86ba02dabf80572b173dd6f98027fe12e
eff2ae4d5a3231fdf0ad569828f1adaa55cd4cc9
/torch/csrc/jit/passes/onnx/onnx_log.cpp
c3871594422a234bce9ed7d6b1ad1683c8730445
567
d8f8d72c3806b03345a2313d243b0c855a5b0bde
af0e8cb1cc3552134d0ac75384faf655124742e0
/torch/csrc/jit/codegen/cuda/ir_builder.h
c3871594422a234bce9ed7d6b1ad1683c8730445
4,579
efc8a926a7f970080f80cd5fa4fe9d2d35cf3971
cb72756a1a5b113d03c48d37096998f5590ca3c0
/torch/csrc/profiler/data_flow.h
c3aac1c695ca8a80ed24259be7a6f4e8e96d4ac6
3,699