blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
3de73364422b92a7ac09bef62506afb825cf381e
fcb424715c39e123f2ce3200cbe592797134875d
/third_party/google/protobuf/reflection_internal.h
659f2d7f4271fea5c6ba71e4f46ce0f107ecbbc9
14,744
cb5be3789674550a60ef92facd85fde048a0bfd3
e1470c66463f9aaf02608c14be59dd3f716b4fa6
/third_party/eigen3/Eigen/src/LU/arch/Inverse_SSE.h
659f2d7f4271fea5c6ba71e4f46ce0f107ecbbc9
13,434
09a0eaf5afda7b7ea3676fbfb6bd53948877bbd1
2ff45b4d1de77e7fdbe88bf48fe895e598b71cb9
/torch/csrc/lazy/core/cache.h
65bd94015abfe29302504a6ef6bee4c65df9f980
3,408
f555d3268e0715beadc78f137cfed50b8e4cbb61
83cb85699c6d5778ca849ceb52cfb6d0955c7b71
/torch/utils/file_baton.py
65bd94015abfe29302504a6ef6bee4c65df9f980
1,396
1725b5ec175ed7b99f713b76d510e7491636bf4b
209d3d3270fe87836659f83f67acabe611242e0c
/torch/optim/adamax.pyi
65bd94015abfe29302504a6ef6bee4c65df9f980
238
bbeacf55cd24d77ea0a741bdcf4852151e1726a7
e5e03feec81e029d9059573d928a615ef3f9b339
/pytorch_translate/attention/attention_utils.py
65caf658c374ac8a2b53ad55e64d574409d0ef77
1,273
28e1e2f9690eea1b83bc3cc83dced98d288f88b4
01c1d09c5a0a454e540494be0d5273eab0a73057
/datasets/big_patent/dataset_infos.json
65cb1efc99204d3fa4615ebb06880b7111a58155
25,048
58c1f04ff898968e794024f87e1d5e6adc01cdae
c79238a0cc036bb8a0c9edfb5f9609bfe5af7d35
/contrib/colab/resnet18-training.ipynb
65d018000c83379692ffe8a30390e3bcda722dfc
16,988
46655068770728d2193324ed31cd7a4cd52d4608
b2eae7a613bbb203bd274ebfc4437787f58963f5
/kubernetes/GKE/nfs-provisioner/templates/NOTES.txt
65cdd4e164276eb4c06d30a7ae7c95c4993cec06
1,027
fc57f90027c9403b69052c60423b977ed1bb261c
691465c5354caf2f27551a07bfc3680610a730e2
/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp
65db5c6af1bed0351ca4df8da21dc3cd375f7190
10,082
1470fd1d93b4c750cb92032e3c89d8751cd99b72
6b363a508907cc064e41794720657541fc28c301
/aten/src/ATen/templates/UfuncCPU.cpp
65db5c6af1bed0351ca4df8da21dc3cd375f7190
445
9b4e1f0aa86c49e2ee7ecd2995bba945cd505be4
0b5312632e1d292c7ec8302c9ee244648e890c5a
/aten/src/ATen/native/metal/ops/MetalBinaryElementwise.mm
65db5c6af1bed0351ca4df8da21dc3cd375f7190
12,326
c5def7b5f5cf558177d2cc0d796ec5293b12b9b0
018a7f6544fdaaeaa6319dc8dc288f4f163fd32e
/.circleci/docker/requirements-ci.txt
65dc95603dc330030b505ef7b4f34c7f0e5c5449
7,035
7ffd17dc0016a25beb5ce1817dcd79c9f97a5a38
d00078a3cfc1e1348a7e81330247e79943c37077
/torchgen/build.bzl
65db5c6af1bed0351ca4df8da21dc3cd375f7190
415
3b8472ddce064ecc5ac4b8de6f567c66f9f36cde
072855350705f6c22a2adbdb3f2dafb669bb858e
/aten/src/ATen/native/quantized/cpu/qnnpack/bench/sgemm.cc
65dc95603dc330030b505ef7b4f34c7f0e5c5449
21,930
afc4d0e0263b26ea5838fb103f884d4db74f38db
c5218e921d1c6baf56f0a763a45f55a40d05d5df
/aten/src/ATen/native/quantized/cpu/qnnpack/bench/hgemm.cc
65dc95603dc330030b505ef7b4f34c7f0e5c5449
9,767
f0657f6f0658214749b4e73d286b61840fd46f91
f451b83001eea93688a8097744f12834ddb14af7
/caffe2/contrib/fakelowp/lengths_reducer_ops.h
66265a1a038c82727eedfc180eda4452c0f51f10
9,405
0938bdbb6b9c47f21da813027393c229b77d35d8
25ac65190bbf819c23b6e3e5eccd8d7fbb666d40
/caffe2/operators/conv_transpose_op_mobile_impl.h
66265a1a038c82727eedfc180eda4452c0f51f10
19,631
d48127d715bcb289271e0cc5ad4ab59f70278159
5aa880e81c926a71e4f5caaa3b3751761df592a6
/caffe2/operators/hip/activation_ops_miopen.h
66265a1a038c82727eedfc180eda4452c0f51f10
4,678
aac1e4de2a196e68795ad96637d620188f75ee44
9fd31433a306bdb42225c32727fafa5df10854ce
/datasets/dutch_social/dutch_social.py
662f64706c03246f59890b3ab745498c52c4b20f
11,142
88b2f52cd00f34051516b0ca8ef5485adc239559
31834c6e82c85aa2fc44385a85a54bfea3a6a4dd
/datasets/cppe-5/dataset_infos.json
662f64706c03246f59890b3ab745498c52c4b20f
2,069
e910705210ba97b68e87b9e7de90709ecfa25ba3
c3180de28832f6573b1dc58da6e05e3ee6d02d56
/docs/1.9.0/_modules/torch/distributions/pareto.html
6688729b4a0dde02692d9913d5b15014dea599c6
40,894
b960b15e1c60eacae8ac9a7f0000d137d053c1a8
4a9fef038616fc45170ceb560e57388a595f7eb7
/docs/1.9.0/_sources/generated/torch.Tensor.bitwise_xor_.rst.txt
6688729b4a0dde02692d9913d5b15014dea599c6
118
fdbbff8b561230b405f0adaace22acb0514dcbc5
308447d4cefc598d1d97ee65d3a8b840d28fb5e2
/docs/stable/generated/torch.tril_indices.html
6688729b4a0dde02692d9913d5b15014dea599c6
44,574
2f0c7c418fa5ed77dbe85201dc33bc971b27a02e
efe3e2c0d17c96fec283c402332f6356bf19c3fc
/.github/workflows/generated-linux-binary-manywheel-nightly.yml
668cc09e6eb84536e8caf963b3c18328f5effd31
94,750
1e9dbf8b20ef723246c18552138b504ad6f27a2c
28095ef9f95801090d7d3c774de7195bcfeae3f6
/docs/1.6.0/_sources/generated/torch.nn.BatchNorm3d.rst.txt
669f456f8b5799454c32ff69d69616a127d481d7
245
17635866759d1f37e323932aeb008175e65df93f
bf12d38e0028a6a6b6d2a4d3690f98c9c7b09305
/docs/1.6.0/_modules/torch/hub.html
669f456f8b5799454c32ff69d69616a127d481d7
91,582
31adf4149560b67e7ee3b802a511b5dae8d0f0c2
26524af2a63cddda3ac596c4bcaa47890a462279
/docs/1.6.0/generated/torch.nn.AvgPool3d.html
669f456f8b5799454c32ff69d69616a127d481d7
74,714
138ced54febc085aaa47d61c8aaa475481537542
43ba3c37c61fcbbd21dafec1466a488cbcb326c2
/docs/1.6.0/generated/torch.nn.ReplicationPad1d.html
669f456f8b5799454c32ff69d69616a127d481d7
37,585
6f357e3ccfd47826d6f3a6ff539ef45271962954
7d8b90660d530389eddd7d593011a0fecb561e59
/docs/1.8.1/_sources/generated/torch.nn.RNNCell.rst.txt
669f456f8b5799454c32ff69d69616a127d481d7
233
7ed9352ce700b5433fd7dd20a578c09920f097af
a2ecd00fa71218fb2148fa8fe0932d134fa50fa5
/docs/1.8.1/generated/torch.nn.GaussianNLLLoss.html
669f456f8b5799454c32ff69d69616a127d481d7
51,510
d59138da77ca626b785d0beb40f2ef534389d81b
f8ac0d417a4ff80a8da349eeccb4e32c128a1f0d
/ecosystem/catalyst/index.html
669f456f8b5799454c32ff69d69616a127d481d7
30,029
f8613de0a7a86b74a06e0c087665c351bf18ae9f
c512f802bce6b3395cc42a0e4eb39181e9f8c873
/scripts/average_checkpoints.py
669f730b328ba36478ff40166de8dcfbe1599bf4
6,021
e351ce950147014905ff0370e5cd3d729e53816f
9019d1a5bfc490de7c75690ffbfbad0d5e97af90
/torch_xla/csrc/nms_op.cpp
66a45e38a2bbb6a13c28423d71ef5b60d707c169
13,048
c9c1829f6649be8654d73a4a117d3d0dcaac38c0
6f201bdb524fad51a69d8c45889eaa1578efc62d
/examples/wav2vec/scripts/binarize_manifest.sh
669f730b328ba36478ff40166de8dcfbe1599bf4
1,105
9a24383916a4841e56410abf164ef05859b67c4f
7afb9f1100ee2e6d82a875e3eac4ac2e17a1f264
/caffe2/predictor/transforms.h
66b34741821f0000846068f8bf55625fcfe3678a
241
3e810b3e287e8f6d1cc67cb1d7d897da575c4c5f
288d9b6b8d417a8d4eda115dfb177f99d30ab972
/caffe2/operators/zero_gradient_op.h
66b34741821f0000846068f8bf55625fcfe3678a
347
70b97d9021ba6df8412d6500c85c44f22085cf0a
7920ac045d0a2a1f4c4159ee3eebe51fe1e2c203
/aten/src/ATen/native/transformers/cuda/flash_attn/static_switch.h
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
1,278
e872536ab3140561f7e31d431a5a03d3c652dbbd
f97326fc48e56b0ee5db7c1d54ac47d32f414dfa
/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_v.cu
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
1,482
29a55fbab64342ed597150170b25819ddebb8881
64dfb0f50d028a21fb1e53504bdfff1d44125f22
/benchmarks/fuser/plot_speedups.py
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
623
84204a7c100b3c4e2b0eb367ebf45c77638e8c4e
1efcbbfec35eec8b26df2860d9cc3122b0c056bc
/benchmarks/dynamo/microbenchmarks/operator_inp_logs/timm_train/gernet_l_training.txt
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
11,692
868354e79836219a36a410a481b608e2a9cede56
8c047dd7d4f5687bbebe8d2ee9b0709aec5e92f3
/torch/csrc/autograd/python_variable_indexing.cpp
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
19,004
9887d0337f9df3d6c3cbaf4855aa5f8e7b8d048a
1906f4d4d19f780ff535e5f5eab294f0f4a189cc
/torch/csrc/api/include/torch/optim/lbfgs.h
66b7095fa2363e2027b3a691cd4b6e3c4423b50d
3,669
37c6b307557b0e1f32fb72b5e2ff1644cb50cb1b
630ac43c8a0ca1d066ad6c11db87b66703a5778c
/docs/1.10.1/_modules/torch/nn/qat/modules/conv.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
58,120
8f8062c6e82f31ae572df2041e8ebe5eb8402216
5a8661444991f17f21aeb10121d4b1c0d93ad9b8
/docs/1.10.0/generated/torch.lobpcg.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
50,434
3f259c602ef7c425e292af61144fd78829a8b23d
44861830876f238a8743ace68bbc3a7ec8a73baa
/docs/1.10.1/_sources/generated/torch.Tensor.cuda.rst.txt
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
93
81faf53520d1c6f586c69f9f40dfb2a92ff255a5
df850a123ad1323e0d0a14b4a83b1b53b286f12c
/docs/1.10.1/generated/torch.atleast_2d.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
34,900
d21826a615733c86c5c3981de259cc62d7237016
1d3439094bd2b0e2d11d56c8b7c333d2e5de9627
/docs/1.10.1/generated/torch.linalg.householder_product.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
56,350
ba42af9ff018cf2924fdae9ee85df118f9787576
879b17b0a1f309924bc53098225d6be6e4cbde2b
/docs/1.10/generated/torch.masked_select.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
35,469
3b9ac6ab132d832815f8fd91c5de684854b71be3
8f8a62d3cd940571e07d5c14b4167378a1f25d50
/docs/1.11/_sources/generated/torch.Tensor.acos_.rst.txt
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
98
e7bcb9a4a34ab6f57feffa87b9624b1f62975baf
c2b3cf4f8c260cf5548d2a3c5dab603d897c3b0b
/docs/1.10/generated/torch.nn.functional.adaptive_max_pool1d.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
33,259
1abf637dc60fdcce266e269a47e9f42cfb84b214
a5f9c097ad707d11f23937c64f30da8553eee66f
/docs/1.6.0/generated/torch.view_as_complex.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
32,100
b86b2d7ddd53da9f13a225321f7b6e6083f780fd
53026fb18625efb0e2bd335a6defde1d164111ab
/docs/1.6.0/hub.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
54,221
1eb6554c37de295b5e8171b05cfc321dea045c6e
0cf11661956a07bc6da9f5abc9e757e68f4f1aa3
/docs/1.7.0/_sources/generated/torch.rand_like.rst.txt
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
88
ab72b30ae57e61a0e7a429980d26379d94ba3b59
0a0ed773d4333d80f57161aec604be6411a5a922
/docs/1.7.0/generated/torch.cholesky_solve.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
40,821
0e1d034f11bc481a6c29c78635f9881778256fd7
15fb66b1f6d0d583e34f3273b30ddc021efae0eb
/docs/1.7.1/_modules/torch/cuda/amp/autocast_mode.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
55,308
ebaea2729e7fbeb36b43198df04363d753856308
6de348b1c11f3d996294c477038d53b470584da8
/docs/1.9.0/_sources/generated/torch.nn.functional.pdist.rst.txt
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
116
2c9797ac2f7e9a31ef51bdcbef6918160a6ce0c2
1a1b4af0c9aa5ae2980ff6717fe279fa4550262d
/docs/stable/generated/torch.nn.intrinsic.ConvReLU2d.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
32,363
ce17502d834f4b180c078e8ab21a23fea6733862
c090d59e80f15bf17fe875d56223533bf236a7a7
/docs/stable/generated/torch.scatter_add.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
32,422
4d4c99aa31a7a0f872da9214b1466061e838b79c
419107308804e916b7d625c5c5454d1f6f2c7fa6
/docs/stable/generated/torch.quantization.fake_quantize.default_fake_quant.html
673ab4e0c2a0fb83bee94dc09bbff01fc41a8184
32,108
2ba031bf37abd61b3125860793337b4bb8bad9eb
feac77879aed755beef62849fc86f07cea2ae150
/.github/ionic-issue-bot.yml
674547f74eb2ad6497b11a4bfe2a22a07a095bf8
4,887
fb35dd1d381acadf56dfee5009baa867c7d802a1
dc889a03c32a5d4596d44551a34573d7b0f482c7
/core/src/components/nav/test/basic/e2e.ts
674547f74eb2ad6497b11a4bfe2a22a07a095bf8
770
f65c4e6c8b65c6bbef94d05bf2f41fdd5343d32b
373ec4a317bce8c6be5736a4515faf9c382c3898
/core/src/components/route-redirect/readme.md
674547f74eb2ad6497b11a4bfe2a22a07a095bf8
5,959
120355ceeb1648f525847a46e3f8e8daa322e32e
81f9a011e79265623f276f21b4a8a45bf42985e7
/docs/1.3.1/_modules/torch/distributions/gamma.html
674e2c7f64ea5982363380216c736ab1ca7177e5
39,578
7bd135e9d9107aa3c89a29824ba923fd6a134622
d7d892c82c173f897df7ad5670b9f653c2a21b27
/docs/1.4.0/_modules/torch/optim/sgd.html
674e2c7f64ea5982363380216c736ab1ca7177e5
38,930
505f14e067abe750be238b27a34dad95bc53e331
1ef2652661a013b7780d5b6ece275733cf1eb25a
/core/src/components/action-sheet/action-sheet.md.vars.scss
67601625ae285adb12a884196dace02d386ae82f
4,095
94dfd1dbf1babea49ac1848da0a2a66fa20cb1da
094bfc7f870cebc1fc004cb6173b058947733874
/core/src/components/card/usage/angular.md
67601625ae285adb12a884196dace02d386ae82f
1,350
09b464850715ca1b0a6b02ec69c676b85c4e8829
f1bf6dc9531bb5a37e8cf36c0b439770f862cf8c
/core/src/components/card/test/standalone/e2e.js
67601625ae285adb12a884196dace02d386ae82f
535
016a173226eaa2a4371a9fe8ddc24791f270636b
0798d6d15f8e784a3d00cdcadcbe1f48cfb67aa1
/core/src/components/modal/modal.vars.scss
6770c38c447ef92288084ce07f20c4aca7073b0c
673
baec063686d443ed924281e6d90486737dfd7f83
23837b54a8570336c1e43a748a8b2951669fd0e1
/core/src/components/item/test/groups/e2e.js
6770c38c447ef92288084ce07f20c4aca7073b0c
540
d7de47d18253e7ee8fc9a84aaf1f43d0cc9fbb95
6a825301a452bd935deafdaf78fa2427ca9a469e
/examples/latent_depth/latent_depth_src/models/latent_transformer.py
67baacd3e9f967cca0cd4328a2557ca661253bb2
5,584
34495da3be9841ced90a225960bb08cc5f7feca5
b4595b090ee23b74bb3924c09704702c4208e395
/examples/roberta/config/finetuning/qnli.yaml
67baacd3e9f967cca0cd4328a2557ca661253bb2
985
19621313aee257b1b0e84519d8c1c9d70b38f546
dcc8b295f7c3c2d3c64cc43d3c308a9f78c75b62
/caffe2/python/operator_test/map_ops_test.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
2,249
8299eaea40598eb2f68bbde98890590bcbcd583a
fc1bad34b2013d7600e6b5a9b248187ce1eb57f7
/caffe2/python/transformations.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
1,832
c288d5d50cfc5e69e7cb3b97f681022303204876
0fc489d77273180bbfe7d1048127b30e754d9253
/caffe2/python/hypothesis_test_util.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
26,853
85de24e6feedbe32deadf9e68e06cbeed4cd4ad2
cb461bee2dd27c11e9f39e846bb4f7501cebf84b
/scripts/fbcode-dev-setup/ccache_setup.sh
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
2,559
6dfc477c2acedcbc7c5c071ecab06859972db291
ec053c95b47a6c8c7f5b305da2f4962d1a123bcd
/test/distributed/_shard/sharded_tensor/test_sharded_tensor_reshard.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
3,601
6ea98af6ad91068d5280b5f0134f235f7e9dd851
37b52d3fc98ce6f2e340d6614759ca92b9860286
/test/test_vulkan.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
6,905
ce23ecb31a1c29cf7bb09d84e0e2ce8ce911ccfe
08e95b9b5cc3498e51c5bc8d7319fe74c538fe72
/torch/_inductor/utils.py
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
11,314
44e445d059ca91fc8aff20d4c5a4a9a01adca3ae
70e9ae16375e573e3b34a4802180ecaa549144c2
/torch/csrc/jit/codegen/cuda/dispatch.cpp
67ce9fd4a8dc3b473ab6b7e7e3eea06526c7fbe6
30,952
b56d397e527fddc949e94481e0410d2113143ea3
bf1ab5c5200cd30f82b1b2bb0e8f92ddb201c13b
/caffe2/core/nomnigraph/include/nomnigraph/Converters/Dot.h
682ab842d2d3a78b689c064a7af9a9e1acf87f06
9,062
423ae90a17a6d9ddbb95c65f3438d47a6c9e995c
b9157b0e86d88c2d914f8c6a5f3da7b20dc64c44
/caffe2/core/common_gpu.cc
682ab842d2d3a78b689c064a7af9a9e1acf87f06
8,236
6d57eddf16ee225eb9854d98764fd654bc41d2bb
88f6cd5d6a0bbc0c7e4e95a4f29ab3abb0999e66
/docs/1.10/generated/torch.Tensor.vsplit.html
682b25bd8f8506f20e260531a53dae48c4450f28
32,267
fecffd8d4db8018b436f7b1ce0ef04e62e7cd81f
bff93b644690a894ad878bd9f580327354c5b731
/docs/1.10/generated/torch.Tensor.smm.html
682b25bd8f8506f20e260531a53dae48c4450f28
32,211
d820f266e1a6dcc5d6f42497baf4db469dc760ee
4ce77151fa76119098e3e9022f121fed1d538867
/docs/1.9.0/_sources/generated/torch.nn.MSELoss.rst.txt
682b25bd8f8506f20e260531a53dae48c4450f28
233
2296bc7ac6f69ab5abb3067229b627498da8197c
9f28e78974872d69f44677a5cfa107564bf81dac
/docs/1.9.1/optim.html
682b25bd8f8506f20e260531a53dae48c4450f28
83,930
f1eddffb1857e7929c2900c02c00333c8a2cea0f
633763f7f23671ccee57285b1475b2bee9e9a98a
/docs/stable/_sources/generated/torch.cuda.current_stream.rst.txt
682b25bd8f8506f20e260531a53dae48c4450f28
121
fef1ed604e7a54d22131c6a076765939bcb930fc
93ce5443596cc53df8ec8b5725cab821a7c23853
/docs/stable/_sources/generated/torch.nn.intrinsic.quantized.BNReLU2d.rst.txt
682b25bd8f8506f20e260531a53dae48c4450f28
259
ca3f084c14c252d1309f4e922b5512fa2763c48e
7815b538b61f60c8cfc3682ab32f166394cb01de
/docs/stable/_sources/generated/torch.nn.functional.upsample_bilinear.rst.txt
682b25bd8f8506f20e260531a53dae48c4450f28
157
1cdeabea7f9ed89ae9f39b76e9d28b6d512cdf6b
1d5a19589bc44ae6740f7a21b1c81783fa0ccb4d
/docs/stable/_sources/generated/torch.triu_indices.rst.txt
682b25bd8f8506f20e260531a53dae48c4450f28
100
7f81b13c78e8cbffe012bfc9e3a99bad5f759178
ee4a9efc2fef7df12dacc0c564da7db03bf08691
/tests/models/mctct/test_modeling_mctct.py
682f46c5496200518c5cd99ab49cad620d33f3b5
26,287
39c3c8eacefd8e9d06dc88c7f9c684006a80b1e5
72d927eccafb59b2efdc45b4f68c8960ad81ecdc
/src/transformers/models/squeezebert/tokenization_squeezebert.py
682f46c5496200518c5cd99ab49cad620d33f3b5
2,325
62600e023b480b24fea8a7164204091f5a6b3c52
2351203efaa20d0d74837c29aac660e409002617
/mateuszbuda_brain-segmentation-pytorch_unet.md
68329a484c500ec3322f1a4ca3d6de5daf7009b0
3,263
e62c5e911fa71d625bd9341cb950fcdcc93f3df2
04225d79067a8eb0ad3ed2bedf435cd84bd29007
/docs/source/elastic/train_script.rst
6837395c253fc965f405f64c0adfd885d950c942
1,926
d98b3cf948961b3033c7ec5eedd68a4c436de6fe
cf8760d7602ae9436ffd32d7063bd920fc48abcd
/examples/pytorch/multiple-choice/requirements.txt
688eed99d4467e0f8da16c84cbf82140aa2f83f1
66
4e74775e82ee3a6986dbbf7e1f6a12b277c35871
af6ae24bf4c3494b22b7774c01d7c0ad0f6b1b9f
/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py
688eed99d4467e0f8da16c84cbf82140aa2f83f1
5,672
ec7b5887f93563aeb5f5405b018149f9c08c5412
dc7e783c75d1243cbc571f146d284e6da6f6782c
/examples/research_projects/xtreme-s/README.md
688eed99d4467e0f8da16c84cbf82140aa2f83f1
7,785
ad663b10cf137ce100e829f7684769f2b77f9d24
20096b1f52293ed79b0284916e8496031e4f94ac
/workflow-archiver/README.md
68ad7971d19b14058a269f221d285137e50b7560
3,498
2e6fb76f790c2d5eb5be2ac574f2fdd390cc85e6
658876ff600bc6f5972e4f6534bdfeee3360bc29
/torchvision/csrc/io/decoder/util.cpp
68b5071f79f9f64b40c707562e13bdce87891f07
12,243
d2450d24047df8222c371deee2b91978daf58169
7f4161a632d89f71535c550ce82188696c72e10c
/src/transformers/models/yolos/convert_yolos_to_pytorch.py
68dfebf02e7d71e29875f7b898e8f3580dd982ac
11,120