blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
6fd678fe00f19887d4f92c96ed55c2ed2325079e
6dee68646c1ad1e84b29d21d6e08af54e48c1952
/docs/1.13/generated/torch.nn.Identity.html
00488c84c5f62c9b23e00877a7beeed579e02313
40,090
0a9fd433f989e5252697167ae99b50a50ecc0226
dd949c61e9a9589619ee21738ed5c7171054d742
/docs/master/_sources/generated/torch.cuda.reset_max_memory_allocated.rst.txt
00488c84c5f62c9b23e00877a7beeed579e02313
161
4b9e84153afc84db38e0fe21707e8677d777e0af
a9f7cea1505fe7ae74b3cd38bc8f9bcceeee6dc1
/docs/master/_sources/generated/torch.linalg.solve_ex.rst.txt
00488c84c5f62c9b23e00877a7beeed579e02313
109
b1962f21620db09f8ec8450b959a3d6a334a54a9
214c0c37d692e134e7d8fac0c94be5fddd7fe1ce
/test/test_autograd.py
004a9fc5d1a6beb91ba8744114d7954982bf3c55
373,442
0179ffe59f4859dbe153187cfe00be09d75a0ae3
fcbc98e7818c8718115f6ae73f188cef4fa15c59
/torch/csrc/jit/codegen/cuda/runtime/block_sync_atomic.cu
005ad5daf2b6ee555a2df161574d589934b6d1f3
1,740
d206778adc6f3d001a74009f67824448d2ea081c
e2a0e57ed68f6559b5ab62db4723925883506817
/torch/csrc/jit/codegen/cuda/kernel.h
005ad5daf2b6ee555a2df161574d589934b6d1f3
7,582
e25f92eda40df69e71b6583410065b3ee29dadc1
4ba6b241e455c20afc42b7881804c9284293bf17
/torch/csrc/jit/codegen/cuda/scheduler/utils.cpp
005ad5daf2b6ee555a2df161574d589934b6d1f3
80,201
49441145c1de60d9e47f6cb698ac9ce671d5f713
bdb8a4228edb80d08dd0351ea46f6d0d2e1a7245
/mnist/main.py
00791ac805b082fd0e3f2b6f8941c095848d56d7
4,528
e8a466c552524421f9b7d98584535c0aa3cc751a
3bd5022c5843625713a13a7b6108ca498420b4bf
/docs/1.4.0/_sources/data.rst.txt
007ce6135fbcd1628ed776ea28caf385cc608417
18,524
21729cd4df99bc4321e5eb9cf167e0a76567314e
4b34d77080e91d926b568b585541a139f10899a3
/docs/1.4.0/_modules/torch/distributions/laplace.html
007ce6135fbcd1628ed776ea28caf385cc608417
42,460
fd7a0d807b27622d92c3a28da8c4c4b2681c87de
f2adac0e387e1e9b1fd1e2583753df1c9314baf2
/docs/1.2.0/_modules/torch/random.html
007ce6135fbcd1628ed776ea28caf385cc608417
31,533
3009bb35c706be3142c825d10ec77edc1dfddd75
d0f11fe0b04121e4bc576f4cc3c127c68161fba9
/docs/master/_sources/ddp_comm_hooks.rst.txt
007ce6135fbcd1628ed776ea28caf385cc608417
4,367
001eb025be70e074ce5dadec5860ba3c8c63cf78
21057fb42ddfb38f6fccfebc6d077e04af68670b
/docs/master/_modules/torch/functional.html
007ce6135fbcd1628ed776ea28caf385cc608417
229,692
410bdc7553da3977866e9249bed36fd9d6a14e9b
0dd6f7ddcdb2f34ea5ebcbfccc1138cb632ca633
/docs/1.10.0/generated/torch.pca_lowrank.html
008ba2c11bbbf0dd1f9e8b4a0aa20eb8436a241c
44,920
d683b9c9bd9ca6807fb59aad9598aa0a186fef60
30ddbe06ccb2da037828af7955478dc6a244ad99
/docs/1.10.1/_sources/generated/torch.Tensor.floor_divide.rst.txt
008ba2c11bbbf0dd1f9e8b4a0aa20eb8436a241c
119
36d526b80d4f3dd50076e6377aa12aa06dec2eb1
343804e91864624ffbc77cc4983d9c3ec3233e85
/docs/1.5.1/_modules/torch/optim/adagrad.html
008ba2c11bbbf0dd1f9e8b4a0aa20eb8436a241c
43,431
23cc34d7da276abe2a97e41ec5bad967d8881997
0b70283c0a818ffea832944fe6301aa0c87649e6
/docs/master/_sources/generated/torch.optim.Optimizer.zero_grad.rst.txt
008ba2c11bbbf0dd1f9e8b4a0aa20eb8436a241c
137
be433a35c9f4030b9010a96ead74807042f82041
7480ca76e37e76fa9696a4d85e3e049e1c074a5a
/docs/1.6.0/_modules/torchvision/models/detection/keypoint_rcnn.html
009a3a0095f1e61c540c86bd684456e1ef594d0c
67,116
e7e3cc159cb1c9aa62075f5945101e22a98bc43c
22a0461fa558d9911418d32c55b6f498367ed44d
/docs/1.6.0/_sources/generated/torch.nn.TransformerEncoder.rst.txt
009a3a0095f1e61c540c86bd684456e1ef594d0c
266
73d29f497696e48f343a9dd7c3cb17451bff9e0e
e6d5bafda5f1f1ee4d9ac400c2bae41f0840b327
/torchbenchmark/models/fastNLP/readthedocs.yml
009f8b9cebe323acb27b9f3200cfccafb99be043
176
087f8582a59f7dbc8274f68fc4e7dbdefb81808b
03b2e841f565fea7e579731829c1ead8decd1107
/torchbenchmark/models/fastNLP/fastNLP/core/field.py
009f8b9cebe323acb27b9f3200cfccafb99be043
29,602
447b75b910217874ead93ae1dc6c5ddc5ba50bd2
6a096b42f719189999bdc01767fcbcdfbb23c9ae
/aten/src/ATen/native/cuda/DistributionTemplates.h
00a9d622034bd32d74967402e629925263399c35
27,848
e286ce8fe5060b4f2ee2c825a7cb816e046061bf
1beb899fd0566ff0d892570928028934c28cc789
/aten/src/ATen/native/cpu/airy_ai.cpp
00a9d622034bd32d74967402e629925263399c35
1,284
340a7ccca4447d2aa5b53d123aafe6fe27bb5c23
bdc93b994872a42b8698102756bbcaa6f81bd8d5
/caffe2/sgd/iter_op_gpu.cc
00ae9b3c5bb9f564ba1e3b22a3fcaf90f9749c97
227
d1720623973227b0d77967751b39d58198ecf913
e1b4224ea4c8011cc3ba889cf0223d0c1c2a8b89
/caffe2/python/models/seq2seq/seq2seq_util.py
00ae9b3c5bb9f564ba1e3b22a3fcaf90f9749c97
20,233
eeac5cd6545c7198d37d443409493914901c4d63
4b700fb426f9413d533e190ff82b73d0f407265c
/docs/1.10/_sources/generated/torch.Tensor.all.rst.txt
00b369809d0949f1532c203445e28fe250b98dc3
90
0ab00060395990c5de397b1d30820b320f37a2a5
993865e381016fc39c36f9fc66e0e1371cb68efd
/docs/1.9.0/_sources/generated/torch.nan_to_num.rst.txt
00b369809d0949f1532c203445e28fe250b98dc3
93
05c8fe46aae8a7ddc230851b019c4126b130a4f7
b062080112add121cd8732155d24178756ad7ad6
/docs/1.9.0/_sources/generated/torch.cuda.manual_seed_all.rst.txt
00b369809d0949f1532c203445e28fe250b98dc3
123
2fbfe2f0d30e99917a71f9bafe86aeb610f7b7a1
83a7c021bf6a8299865ed5d805a285f6122983f3
/android/pytorch_android/src/main/java/org/pytorch/Tensor.java
00be9d08ec4807f0056263d3c9c14f7f71f62635
25,544
be5be4d6bed0bf67198ba0e31938dfa60d4efe12
988eee55b155ead7d5c799a44ab38e4d4f89bd79
/datasets/swahili_news/README.md
00bd8f52ef2e9f9fa43d20ed0616259ff6231d0c
5,512
50c2d3d50bf535d2ccc27fd5d0807010d04b946f
a61eb86eaab48ddcdec25f08134a901209954a25
/docs/source/en/glossary.mdx
00dd1378165f15d6dc5080a4f0a421d903801ba5
13,558
ceacd60f631dbe58108f53aa4e1eca5613514b6b
b8886c5d6f8f6de67014ea0a9909fa237945b280
/docs/source/en/model_doc/distilbert.mdx
00dd1378165f15d6dc5080a4f0a421d903801ba5
4,901
1aaedc240087d17afd72d2fe9b61294f5c118919
ba03aab06f3d23b7ab9ac9cf0374e637808a4a26
/docs/1.10.1/_sources/generated/torch.cuda.max_memory_cached.rst.txt
010b65f5bc109fd41b5dd1ee8a7e9c77fd1bbd56
132
255d5970f4939b255bb3b012375dfb82d13bf9aa
7b511dd1daf5f3cac433ac4de41b0604b72e46d2
/docs/1.10.1/_sources/generated/torch.fft.fft.rst.txt
010b65f5bc109fd41b5dd1ee8a7e9c77fd1bbd56
83
e4b0356bfbc6b631797bea5595df9eb17fd3fb66
b9df2d61743c45a1e04eaff79203b7f55ad93072
/docs/1.5.0/jit.html
010b65f5bc109fd41b5dd1ee8a7e9c77fd1bbd56
188,856
197be06daa005dc5824005ed01c23f7183cf1dce
7949616ef8c06a58a3bf384f41b62f989aa89b2a
/docs/1.5.1/_modules/torchvision/models/googlenet.html
010b65f5bc109fd41b5dd1ee8a7e9c77fd1bbd56
79,815
158866e2a9baa65cf1da029d571b7c10f3ea2b3e
437a8099c17a37e93b1627c42b79eb78a51366bc
/docs/master/generated/torch.cuda.nvtx.range_pop.html
010b65f5bc109fd41b5dd1ee8a7e9c77fd1bbd56
37,003
bc7a4e50530e866f1f31b8c73f79d867d6836bd0
4e119929f1d047579448cb7175b9906a6b410785
/docs/1.4.0/_modules/torch/nn/quantized/modules/activation.html
012a2a91943fcf21c6b4b6bcd76b1c4e6a183658
33,417
9f377766f0f285dc9daa9a2a8fd824cf4e1d11a3
bde9750fa04bbfadd49e837f5e3f52ccabd11ca0
/docs/1.2.0/_modules/torchvision/models/vgg.html
012a2a91943fcf21c6b4b6bcd76b1c4e6a183658
51,002
885d19f18ca61ba93481f0ddacd27e6f43f43904
1b52a1ade1a21136e0153813b46cfc1732d915a0
/docs/stable/generated/torch.Tensor.ge.html
012a2a91943fcf21c6b4b6bcd76b1c4e6a183658
31,710
0753359dfe38d4a8777d812872561b1f73484bea
2d4451e1aa98563920a216d573ed4cb4be715927
/docs/stable/generated/torch.Tensor.dsplit.html
012a2a91943fcf21c6b4b6bcd76b1c4e6a183658
31,803
fd50d4fcbbea2140d65b6e4408b120a9347cb15f
196ca892f47df8572e5454c95a8aed261d480fc5
/docs/1.10.0/generated/torch.cartesian_prod.html
0151c27aed6bf307233661e661a5153b04ae1b9c
34,838
8f21d74744c3f158c054b6480fd9cc33033485aa
c394cb3be9099350392614e2d6c058e284c49364
/docs/1.10.0/generated/torch.mv.html
0151c27aed6bf307233661e661a5153b04ae1b9c
36,554
fb9a75843b55f2a82cc4245af92322f4b635597f
5e5300038589af8b9a88c09834c2fae7feb6f389
/docs/1.5.1/_static/pytorch-logo-dark.svg
0151c27aed6bf307233661e661a5153b04ae1b9c
2,080
040ed97d568e2a275e9a48a498622e0a6a89b73f
77e617abf3b423968984b18454d6896342a52476
/docs/1.5.0/_sources/nn.rst.txt
0151c27aed6bf307233661e661a5153b04ae1b9c
16,351
4253b762e37a71b264ef7d77a7a5c64b24bf5f3d
46707a1b3720e88fc0becc9b1dbe589c898fbff3
/docs/1.5.1/_sources/rpc/rref.rst.txt
0151c27aed6bf307233661e661a5153b04ae1b9c
12,630
08e8b241f63a9ac875699943ca7d838abd46266c
035ec710cc7d3e92340ec549283a1913fc42ae6a
/docs/master/generated/torch.Tensor.i0_.html
0151c27aed6bf307233661e661a5153b04ae1b9c
33,276
174cc4abd47af865275421b451ccd2043d28fa65
96e0fe13037c1779e2c18066174063cfbb8a3648
/docs/master/_sources/jit_python_reference.rst.txt
0151c27aed6bf307233661e661a5153b04ae1b9c
21,879
7d90c2fa1023f47945be03feaf1fe14cd78e0523
b39bea3ce932445aa745587743664210bbaf39c6
/test/dynamo/test_recompile_ux.py
0166381bffa90fcb1b699f31ed3b41ff53ef2b9c
7,712
d4a719934eb31e2be4ed6ccdaca949af97a0c112
7c8a6241b76b5ca55ee8609e13a324a9f6bb5e81
/test/distributed/test_c10d_error_logger.py
0166381bffa90fcb1b699f31ed3b41ff53ef2b9c
4,437
ec2d81848709a925dc6378dc1e1994e5b68e5086
c84479097211fc1c093c334acd134d77d90ed779
/test/lazy/test_step_closures.py
0166381bffa90fcb1b699f31ed3b41ff53ef2b9c
2,318
da768161646cd2bce3f6dcc76769de8df2c4767a
a949b09241efbf17235b2cd3eed8837135e0f978
/docs/1.8.1/amp.html
0173985b2bfdf17366d378e992369812e6d32ba1
92,560
4b5e5201deac481da2932d7aad52996343a95a33
fa2e2ab9e12ed53a8c4a86c8ae0bb42f56a43723
/docs/1.8.1/generated/torch.arctanh.html
0173985b2bfdf17366d378e992369812e6d32ba1
31,389
16ef6078cc42b18440643e9567f176f8d3f3fa64
a3442ac26f334d31ade6210d84390d726ac7f91e
/docs/1.8.1/_sources/generated/torch.nn.utils.rnn.PackedSequence.rst.txt
0173985b2bfdf17366d378e992369812e6d32ba1
245
53070115c668e9ac5dc98ac5fe2fb423c27fcfe4
21dd16666797ab2f54ab220893a215521f7ee486
/docs/1.12/_sources/generated/torch.autograd.Function.jvp.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
123
52fcb1b33ca73bc18af881285e0471d5169c48ab
29e6094e6ba3bc478a4b4a3461ce75f34db2c47a
/docs/1.12/_sources/generated/torch.nn.functional.avg_pool2d.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
136
41cdb5117b85a88b4ef75b02b1ef69220400d31b
15b59f0efe0b044b2a501e458c582f0ce94bcab5
/docs/1.12/_sources/generated/torch.Tensor.add.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
90
b2f757cc3de4b08000c8e5677089c4ec9b9fba93
004f08f3970ace50621690a6e408b302e509a0ed
/docs/1.7.0/_sources/generated/torch.quantile.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
83
6177bed9f6b13f219ae90bf832a7fb86b9bf20ae
a9aaa51a33bf4e268a6c4fbde44482a0cda217b2
/docs/1.7.0/_sources/torch.nn.quantized.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
1,908
1fa8665a119211f5059ba6158a9bf4820345cd36
8b3700e23445d4c083491aae890a27883f29a5cc
/docs/1.8.1/generated/torch.nn.MaxUnpool2d.html
018481d91e6249d7a2705e9de135492668f9c181
52,236
db7b2296c314947180a2e6135a28e8123754b874
9f1f998112ec88575956e4246a00900fecd6b92d
/docs/1.8.1/generated/torch.sgn.html
018481d91e6249d7a2705e9de135492668f9c181
40,708
cb7cc34774c7085184f6b4b7d50b23759b25151a
15babbd86a65a6a7fbf55e10acc404308afde740
/docs/master/_sources/generated/torch.Tensor.broadcast_to.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
119
414633e7b0681ef2351be4e2d9b07fa02f7de8f6
2e6114e205267d86a6f2d4c774daedfb06fbacab
/docs/master/_modules/torch/cuda/graphs.html
018481d91e6249d7a2705e9de135492668f9c181
89,008
45d2cd0fc7b24d26f7d9f5a6dab770931abaebb6
4b765074098356d2f8b0205981ebe235c575901c
/docs/master/_sources/generated/torch.cuda.comm.reduce_add.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
124
3901752c0b9c545983f122ccdbb10ffc9e38cd55
58d1d6811b57d8ec0d2c6f1d797392e4389d9173
/docs/master/_sources/generated/torch.nn.quantized.FloatFunctional.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
270
6b7d4887c3c289c79f18ed048bedec90bb8b4d8e
2d01b5cafea94602d9adb05a01c79601af885c85
/docs/master/_sources/generated/torch.Tensor.narrow.rst.txt
018481d91e6249d7a2705e9de135492668f9c181
99
61237ce06326ae4839441fa6626fd83a649c05ca
25dcf5bf3b7e27b5228ee9eddc33e853df85d3eb
/aten/src/ATen/test/memory_overlapping_test.cpp
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
2,430
b289e95ffa949f0248cbf630cda32ff8194b2dcd
2b3cb34ab30c9b5dfa79c3c0894faa4c73999198
/benchmarks/operator_benchmark/pt/qunary_test.py
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
5,609
b3c8551949cce464d8d71d992f0699e785a6804f
92008b43e07b4506c0e39ff28e72cb631fe4309f
/caffe2/opt/backend_transformer_base.cc
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
5,502
d821764ef61d5648af43efc66b0e5f57d25c53dd
b05e97fdb55af5c1a38141de51337d67aeef6725
/caffe2/operators/arg_ops.h
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
2,356
ba4e0c05f78c14e492f4b604bc1064e1ae008fe2
431f10d8322284b20514c7187128e9c05c4cd61c
/test/cpp/jit/test_subgraph_matcher.cpp
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
12,831
8568a72293fcc0f5f6c76e991a5192aa687701cf
a431ac4535a6d9df532fd59b98c3250d36a52f32
/test/ao/sparsity/test_data_sparsifier.py
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
28,756
cf442bedfd75b7a2ba329f7fbfa2fa80d957eb9e
7f0b1803773652d6a0a2fc93a7895092cc59a2bf
/torch/distributions/weibull.py
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
3,079
f0aff6545b46a5bdf27f378d5caa23596e59ff00
66200345cbc238b697b095d574ed23b5c1828a91
/torch/nn/modules/_functions.py
01929c92a1d7399c06ce30f9bcfc88e52d8d5887
11,138
181eec57c396208861682bfe8f5b9a7fb6bebb1d
534272f69b64fd6ecb5d6a562ee2a5fda5691e12
/aten/src/ATen/core/IListRef_inl.h
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
6,127
0755a1682c5e1cd23f1afc6a7e762cae0ecfd77b
77ed06930e054cab5057f780f59871652bb88bbd
/src/main/groovy/ossci/WindowsUtil.groovy
019790324911bae55d3820d5269845b9cb21ea37
868
9e13f938084c11511902ca72f5c990a54e0b9c88
722ad981928bbdc5287718ba7245d1c799054aeb
/aten/src/ATen/functorch/BatchRulesNorm.cpp
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
40,883
861f77231b66ef0f6e614f07960ca9de8f1d294d
ca1608800e3ed0c20c667f2f521fe37b93e823ae
/c10/core/SymFloatNodeImpl.cpp
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
246
4ac71cf59d5dcc571f449c048455dc4d0ee9e843
5006d6fd0bdae1c09b867d154e55ad3613ca6706
/caffe2/operators/floor_op.h
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
825
648bccdfcf347a2eddfe6576d75c92d20cd9dca0
06c1ce4b68b94069b091c14c29dca0a89685aa43
/caffe2/onnx/onnxifi_graph_info.h
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
3,539
e96b6ef387922b811794186af63459121f53c454
414079507ec04e649c3dfc21132a71bb432968d9
/caffe2/python/examples/imagenet_trainer.py
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
27,287
f8621585e8818242d7eabc7090d56c448452397f
698fbb76df88b945d39b340bdf71047db0a73902
/caffe2/python/operator_test/pack_ops_test.py
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
12,634
2d4bda5fb52a674732e633a863da68282e985b00
a881c36075e3cb603404a6b36c99af99928a445d
/test/test_type_promotion.py
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
56,199
ea1d050044b9e5f93d4c14d572d3e800b2f7041f
57343a53ea982cafab95f42e83e74cf6e75058e1
/tools/autograd/templates/python_functions.cpp
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
1,060
5c857134b4dc102c940a3ca067852c449907e28d
41db38fe0757a72081b0125f8747bc0b65c16c85
/torch/csrc/api/include/torch/nn/options/transformer.h
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
1,839
7bd6e94440e8c74870c87533db5249651f1963e9
03e988167280fe466fa31c9e52d25e3a0d7bb7ae
/torch/csrc/jit/codegen/cuda/test/test_gpu.cpp
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
766,961
921470756a058b59ab188be07a48999a2b4b6a2c
446a3fe7a3f33fab4b4155e9b21b2c44b933844a
/.gitignore
01a2fb22a2c58f83c7fe237b2cd46db0a77a81e7
184
7a725ac071dba9c16a5a9291bb1ba4a25f697ba7
97bd7d0fbbed8fd8836417078341f1402b3b56c9
/src/nlp/arrow_writer.py
019b509320c47b2a66d417aac1e5d8845aa81361
18,485
4787ee0370363da8bc0a24542c8e69f42218b65f
26a1fa37667f6af9f65e4ea0c3d932e812bb56ec
/torch/utils/_zip.py
019b48f4ddb969a9e7ca3afd85b6dcc125391ba8
2,122
8105566855a663618f93af045818b7f9e5df4a59
939eb887ee371a2685e71e17bffded7ae8c08b34
/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/pix2pix_model.py
01a2fb22a2c58f83c7fe237b2cd46db0a77a81e7
6,519
f0ae17714d93c88238085dac3d8756e80779ba3d
c7855f3fef8aaba60a43242ba1a1ceb3864d18b3
/torchbenchmark/models/hf_GPT2/install.py
01a2fb22a2c58f83c7fe237b2cd46db0a77a81e7
458
2b28e2b5d5199636ff620ecfbb8fc9b20487dcd5
50f4c078e407124a44ffd5c8930fb0a2784e25eb
/torch_xla/csrc/ops/nll_loss_backward.h
01a396d07f22e405e010ca049995f1e4b65dc6be
876
9a36d4de22922890b01aef8f216d511b28499457
de0eed152d9bdf28b8156189562d833591400dd5
/docs/source/en/preprocessing.mdx
01a97dea1546615aa69190062e7d5b2085661c50
22,669
9237dc68d252734939b786c063f26381b3ebd4c7
09c4e3ee6c6c01cbeb326b6ccc482189aebd23b5
/src/transformers/models/bert/convert_bert_original_tf_checkpoint_to_pytorch.py
01a97dea1546615aa69190062e7d5b2085661c50
2,159
9a7a9e8fdd311a3b10bbfcdd7c8999317cccef53
64c244ae8ed2ee24990fc5b1295685812869f91c
/tests/extended/test_trainer_ext.py
01a97dea1546615aa69190062e7d5b2085661c50
14,809
aef67fdc841dd31e44e2337b3ce230352605e471
a47e76c09d6125717b034d3ec976c337c08779bd
/tests/sagemaker/scripts/tensorflow/run_tf.py
01a97dea1546615aa69190062e7d5b2085661c50
3,690
01e06497e2256c051aa764d48fae2228b8793cd5
5b7137fc02e9f9aab66e96c218c211c5599faf88
/datasets/flores/dataset_infos.json
01b0aaeed09792558bfb3f1777666d7f74e54ce3
2,906
53ca1f6f0d8f23d26b8fd9e3a83dcad6d8a89820
18b3def7af90d39872b054ba091862cd2d806de4
/torch_xla/csrc/python_util.cpp
01aaf0209804913debb2b41fe3f9f81f259ffb01
1,562
f24c2d4d98241cbf2afcd12045b6177daace563f
7365570fbc45f3d570564cc0c0d9df8f457bc5ac
/core/src/components/textarea/textarea.md.scss
01b1e93f84f2bdd71623c244c183d2302bcf64a6
378
664cbf78593dd7acbb0bc8f2dc18b2d6240e2b4c
a024ab3690a7dcc3164a9ca5e5d7e7a583812a31
/core/src/components/searchbar/test/toolbar/e2e.ts
01b1e93f84f2bdd71623c244c183d2302bcf64a6
326