blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
2d2b49c7d0770a136b4e8f8c690cc432d527a102
fcba45b765c924261caf501af64c2dd77f13d59f
/test/quantization/core/experimental/quantization_util.py
b49dfe7bcf5bf27fd3e1737b944c4ef79cc8f66f
5,032
b34c64ed5b0f66293f0ebe97c84185432c447459
9276b74abf80a0a793b72f44d259c3837e157b4a
/docs/0.3.0/_modules/torch/nn/modules/loss.html
b4cedde0028a982b07db330156ed095720d0c7fd
129,773
52864ed71f90619c23e24181de8e8370e1b92cc9
86002d56f623fc63362580a06c3a7205b13881be
/third_party/google/protobuf/descriptor_database.h
b4d6bb418e485a14262e1aa51df5af6eddba9c3c
17,306
08b9ff2f46f5de4211df3e7e6e305a041bbc1353
5465655fb6730147b4d75b8ca8e236852fd17396
/third_party/google/protobuf/compiler/javanano/javanano_helpers.cc
b4d6bb418e485a14262e1aa51df5af6eddba9c3c
19,285
6f39ca7e6d1812b0b29f0c9c6f832b73319be1ad
b125dfd404cc5328a07b89fe66c5d0642efddc76
/datasets/polyglot_ner/polyglot_ner.py
b4e4fe7c30be185bc7655a73ab26a215c96bf547
6,010
7102e6e26f0e41b737e9846fc70aa2e428c44e4a
1c958273165c92887fb5b1a1f61cae73097d5b2b
/datasets/interpress_news_category_tr/interpress_news_category_tr.py
b4e4fe7c30be185bc7655a73ab26a215c96bf547
4,724
8b3f3e02daf9773bbfd974d2ec96876d3de6a203
4952aaa91a05f8f72e4c8c87f2f6e4916fe60f55
/aten/src/ATen/native/Fill.cpp
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
4,302
5c6162fa8b037e7aae7f10514a8bb01188896489
c49cfc2963ff378b4ddd413cd5e8945f58df5d6d
/aten/src/ATen/native/quantized/cpu/qnnpack/src/fc-run.cc
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
3,760
443560bb51be4984c63dc35fe48f60f9b2893088
b1363033ca4728a22581625d21ae0a6165d8ff3b
/c10/core/MemoryFormat.h
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
9,015
95e2cd83ddc395591d8eeeb22608fefa0bf10e79
2972db5d2d1b930657954c75edb488ef7c3a079d
/benchmarks/operator_benchmark/pt/split_test.py
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
1,079
8de7abbc6f75004ae3f63fd1200a4132d451035f
793c690a0c141b85ef63284899ffa17182a7d792
/aten/src/ATen/vulkan/Context.cpp
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
913
133f169af17409c14281cc9468c1cca09addd493
c57aa2556d73cd1dadfea9d05bced88213c80fba
/torch/csrc/jit/serialization/unpickler.h
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
6,891
98f796485e8cf4bfe37444dc5ece0d41139475fa
cc16c339ea34e611d892afbcdf595d9bb377ac50
/torch/package/find_file_dependencies.py
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
4,138
747e72dfe19e6640d5a7c5b2e735877602068484
c4887f8c23f3175a2f808d6613749f7322f3a456
/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py
b4f93bcbc65a8f3416bcdfb6643a3ce012e9d91e
4,206
08f62e0c10154e752315e38ada4d52aaf91ca002
fd0ba37e4965c3e4471f1730977c3cc2541e9bd5
/caffe2/operators/log_op.cc
b50991aa7ecf86210130c8390f97a1d5a5008fa5
1,936
dc3e1faa2719b7387cb7b1c878e7de04dc84ebdc
bc38ae3a7d8f78fb86e84779d63a5351167f97e2
/caffe2/operators/sin_op.cu
b50991aa7ecf86210130c8390f97a1d5a5008fa5
1,302
04dbc924ab82fdcacda16f4352cf40f597c595f3
f5ee8747650fc8345d5d16b25715e0eb44f41ca2
/test/cpp/tensorexpr/test_memplanning.cpp
b50991aa7ecf86210130c8390f97a1d5a5008fa5
21,602
565edd5e5349d26133ebfd1cf37b3e30855afb09
9427caaac2873b6fc1ccbc34f8fe287df819ece9
/test/cpp_extensions/cuda_dlink_extension_add.cuh
b50991aa7ecf86210130c8390f97a1d5a5008fa5
127
3b2b4817ba8b1dcdaa5af46a1854acd389a0cd52
6ab0710d6660b21d71e30d3bf77e54ae798618d6
/ios/TestApp/METADATA.bzl
b52db43b629c9e7e96dc8cb367d49966a19c3045
385
6d75a403bc5688f42900192935af023bf5521a78
312059a4c9f15a48040c5347c148bf5d9ba3cce2
/functorch/dim/dim.py
b52db43b629c9e7e96dc8cb367d49966a19c3045
3,048
0a97e7ca6e4c9dd970d2571e0be1114e5fc5125b
5adf2c48dcb5cec3fa2f750f57f8800bbb9fe5ba
/docker/jenkins/build.sh
b52fea29508f1471bf359226d95c1c708c891017
527
c94b0b94ba6ae488b89e8f7dd9f5a434b748754d
0b35bd546e230c6b1e93a9febc58e9c070486d10
/torch/nn/modules/dropout.py
b52efcf2372210ddd94603e5ab951a06afe3d94e
11,106
35d927ce9fcdf08d6fc2326a1bc7ef59eb5ef9e7
7682b4f8ae426b4aa0537505e55c9c98efd47b94
/torch/nn/intrinsic/quantized/modules/bn_relu.py
b52efcf2372210ddd94603e5ab951a06afe3d94e
153
c0bd9830289ff756f075cd6fef457e9135c762e5
a31e990536e105498decd1abba68797a46aff0f3
/test/cpp/c10d/ProcessGroupUCCTest.cpp
b53c785051a5e100aea8363d0afe55f96f98752b
921
606c6899393c844cc368bbd4d13090116d4c10a4
e7c805841a62b015e6fee609d370109ddd45821a
/functorch/_src/python_key.py
b53c785051a5e100aea8363d0afe55f96f98752b
420
af8d871cdeaea01e2c60658e6440b68016bdf297
a79bb56492855b6a9002fe82f9c7b9856092af51
/torch/csrc/jit/passes/lower_grad_of.h
b53c785051a5e100aea8363d0afe55f96f98752b
348
515978ef69df50d78c57503b57d3d07883423c86
a390fd2ce102afe86d79c866e565859df7203688
/torch/csrc/utils/variadic.cpp
b53c785051a5e100aea8363d0afe55f96f98752b
82
421d50b1bf4fe270cf7210e6a7bd8063b6f23775
c7bf240408301f525463edd20145b489653f7afe
/docs/1.7.1/_sources/generated/torch.isinf.rst.txt
b53d41eeb58a5b76896b26b8d35c6b3a3282a8b5
74
fa45d9802912d60755ab7b908a14c1b74f1865eb
a2fc23d4883b34a62bd981a04233fc13c7066691
/docs/1.7.0/generated/torch.subtract.html
b53d41eeb58a5b76896b26b8d35c6b3a3282a8b5
27,266
8de1a7ca50fb9aa414f9bbed3b709c49ced874c6
35f05a10780dd25419fe230ed66a4251e7f8e3c9
/docs/1.9.0/generated/torch.nn.parameter.Parameter.html
b53d41eeb58a5b76896b26b8d35c6b3a3282a8b5
33,500
134b1997f9105a316be672b44bbe29022c02b997
4a72167ce5b0c190382b1c5f37987eee5f3ed1b9
/docs/1.9.0/generated/torch.Tensor.stft.html
b53d41eeb58a5b76896b26b8d35c6b3a3282a8b5
32,429
c5d6723acd9a486a9075084355ef7d6c198f72d7
006ece7d2b61e621e9c922274d9e0f46897a3d24
/hub/pytorch_vision_mobilenet_v2/index.html
b53d41eeb58a5b76896b26b8d35c6b3a3282a8b5
27,487
de87a9b1c90f56f2241fab9f637eb4e89317682b
812dd34fd83c1aad85a0bc335603db99909aaa55
/test/PackedRequantizeAcc16Test.cc
b53d50e1cc214123c7e7b0f770a4b806b528d894
27,642
654dbcc9877e070f7e8e5654441467e3e32f713e
93de56033ffecbb92cdc27a4ca47fce150c756b5
/docs/1.7.0/generated/torch.add.html
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
36,205
999e382e3bca8b8315c6f461f5e0f6c61127c089
a4a478cae60f17dab409ac46a830cf9df940b1b2
/docs/1.7.0/generated/torch.bartlett_window.html
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
48,783
86af35a2a82dac9e61f6da6e6a2efc3a9d6e9d0c
e4667d0c3367bdde2c4845eec4657f0dcbcbd688
/docs/1.9.0/_sources/generated/torch.view_as_complex.rst.txt
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
108
adffb82745fd4ee15e913317e6cf314854afedfb
8dde08591ab7b02371fa47e66ae91831f8ec7d08
/docs/1.9.0/_sources/generated/torch.eq.rst.txt
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
65
7c55605b4c5bfdcf8526458c4c1c6f4a4e9779fb
d9051d930a04ed99fda7136200c455bf6d71e9cf
/docs/stable/_sources/generated/torch.view_as_real.rst.txt
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
99
4f0ccf19ec4d2cc32a4f06cf00e80ad3afb14ced
4d4fb445a38e1009a327e50be468f8c73871fa6e
/docs/stable/_sources/generated/torch.istft.rst.txt
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
74
26bde6c0ea75437dbbbf3421b8f1d058d690484c
6aea5a3b941e4e3271e88041a0df44564ffbb3da
/docs/stable/_sources/generated/torch.linalg.matrix_norm.rst.txt
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
115
9902734bb85550b66be46621c1cb457973ea0349
821e0f3ec0d449128c91bd6a2d961c5d29e3bab3
/docs/torch.html
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
573
07ec0b7dc735b4f8c169d25fd91c14fc254925d9
d8116f9b5ff95863bab2d21f9276050f858b4c64
/ecosystem/detectron2/index.html
b543f82ef0f1e10cd0b288a956ec6af790eccb5e
31,170
14b128d98504b2d5d6668972e6cc481abff18d14
c3bffef4069cdbc2d352343ca27afe51cc3e43b5
/docs/1.7.1/_sources/generated/torch.randperm.rst.txt
b55714dcd3994f5807e20a3a79834dec047aad07
83
59eaa560a485dfb58e9d3af4458be133a5f77655
af75d959b59d1d09bead05ba8348e7df2aca3015
/docs/1.7.0/generated/torch.nn.BCELoss.html
b55714dcd3994f5807e20a3a79834dec047aad07
63,901
bb94b274bf2bf119c345b590f214d211cd6af039
73b1c64b83364e79e6e98fbe61b4f0143357d328
/docs/1.7.0/generated/torch.sinh.html
b55714dcd3994f5807e20a3a79834dec047aad07
30,647
edcec082537d8710a7d9cdd63252ef88e5c638b3
b4dfbdf70b4a6bbc5b023a2b89ced4e3b035c935
/docs/master/_sources/generated/torch.row_stack.rst.txt
b55714dcd3994f5807e20a3a79834dec047aad07
88
17df4e82b1e17a78e378eab3533db546c1c0d61d
94c856d41560f9b17b2e2e79f91d5ed729110f31
/docs/master/_sources/generated/torch.nn.UpsamplingBilinear2d.rst.txt
b55714dcd3994f5807e20a3a79834dec047aad07
272
e7ddb73cd84e660e7455377983fb711b7333a5ed
c66b55f40dbd1b4a88a5c80490ea274c3f461d01
/docs/master/_sources/generated/torch.nn.functional.relu6.rst.txt
b55714dcd3994f5807e20a3a79834dec047aad07
116
55ed15f98f32d0349bb0098ca486f1da1fe49109
7585217a9cf260a67eb4d4fbda061a27a3fb23af
/torch/csrc/api/include/torch/data/samplers/serialize.h
b56752f8d496c69a2bcaeda585c5f01332795d7a
707
eb8b29644930df78e0011c0bfb4c2c835932615d
3a959447cfd6bc90b14208e7e319794558b20694
/torch/ao/quantization/fx/tracer.py
b56752f8d496c69a2bcaeda585c5f01332795d7a
4,326
1c4a2633a62e5c33907e56d9ec56df65de93fb96
2a956362688ecc1a5bb451689a778affc94a9a36
/torch/csrc/jit/codegen/onednn/graph_fuser.cpp
b56752f8d496c69a2bcaeda585c5f01332795d7a
1,166
144f0863a7f83851ef097cee0bc7f5bcef822c68
147ac413bc2beb9c1887ba554c5d2376ac8b7703
/caffe2/operators/elementwise_sub_op.h
b58288eabb92f0e2581f134b642f86d94deaf5a9
1,821
24944bf7920108f5a4790e6071c32e9102760c37
cf1ab25da0349f84a3fdd40032f0ce99db813b8b
/caffe2/mobile/contrib/libopencl-stub/LICENSE
b58288eabb92f0e2581f134b642f86d94deaf5a9
1,210
3dc916ec384fe0bae0cf91b185e412976025841c
55974c69d76e33f052b3917347100245e0c02bf0
/torch/_dynamo/optimizations/backends.py
b58288eabb92f0e2581f134b642f86d94deaf5a9
25,951
5b968ebfe1b431941f6669db0ee63c02f89a6060
4f087a01f4330dfbaee0a575dacd424d587e8e9a
/torch/csrc/api/include/torch/data/detail/data_shuttle.h
b58288eabb92f0e2581f134b642f86d94deaf5a9
2,626
bfcd099e8eea5785ff390d967a18010eaf361bb6
7ad90b7425570c38339ef7aa1020f7033866fa1a
/torch/csrc/distributed/c10d/Work.cpp
b58288eabb92f0e2581f134b642f86d94deaf5a9
4,806
fc42bb46c84b5344fad62cb9089e5c3292aa43fa
6f815f26d6b439da4b98cec112c0c5c5c6cc3cbb
/torch/csrc/jit/codegen/cuda/runtime/type_traits.cu
b58288eabb92f0e2581f134b642f86d94deaf5a9
926
c677e80cfbc010522676a19af1ca5985e497162d
99396dbdc73c9186709b8c598d079c00c3c80017
/docs/master/generated/torch.quantization.add_observer_.html
b59754023125845e81587cd1e72f4c17861fb437
35,081
f060d5e57d6196ac4a34f3993fba18abfb2e8e79
c0ef942286479a96980148846d6a189779036f05
/docs/stable/_modules/torch/nn/quantized/modules/linear.html
b59754023125845e81587cd1e72f4c17861fb437
81,551
f3d26b44c29b8c30b0fac30265a48180b2186012
a005bb111cb58ceafcccc00e6106c319c7175870
/docs/stable/_sources/generated/torch.acos.rst.txt
b59754023125845e81587cd1e72f4c17861fb437
74
15b1417e40b1c3a16c975e3308be418dbf15a4d9
72adedbdccc539e097f2c211b5043fcb755bd156
/docs/stable/_sources/generated/torch.nn.LazyConvTranspose1d.rst.txt
b59754023125845e81587cd1e72f4c17861fb437
272
c0a8894fe65dfb28c6685ffe5e31a23f5bb95fbb
1e99b5049fb8e78b94a21688f8f990b52dd58a4e
/datasets/wiki_split/dataset_infos.json
b5a0ab0a291cef2b81ac2aa7e3df6b0abe34e258
2,324
d31dcea9ec338b4db0c677b85683f683d386afaa
13400ac5bbec2f856b5d38a9f7c349b591ea6d9b
/datasets/selqa/dataset_infos.json
b5a0ab0a291cef2b81ac2aa7e3df6b0abe34e258
9,844
97ed3984741ba6c9963d4a408eece21c7116b200
f5032f0293b2f3ee147eb0dbb16e5f1c15534000
/docs/1.8.0/_modules/torch/backends/mkl.html
b5b51c9c5025380285bcd2c19cae14ade74f225f
30,915
18ce04846bbf4860614c13fcd0f6e1725742261e
c398896212126c20020e73426c6fa416d6a363d2
/docs/1.7.1/generated/torch.unsqueeze.html
b5b51c9c5025380285bcd2c19cae14ade74f225f
33,111
9d22ee84c59b6fe214063c5520edba30447a2985
84274d86ad4db0a9f6b8933ddc4eb2ae1faf5f9c
/docs/1.11/generated/torch.flip.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
35,003
5519b480499a1d71191452ac021c2352ea203d38
f06f6607ff528c1d0dfcf2b4c7601455ac21d44d
/docs/1.11/generated/torch.nn.modules.module.register_module_backward_hook.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
34,429
6f3e5bd66cc58946a53f9a2c7b57936b50910e9c
0bffe646807cdf123f5bb7f7bde3fa249177f029
/docs/1.3.0/_modules/torch/distributions/gumbel.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
34,167
914580e2654b23e88bce98aa4cc30964bdd66f8f
e30899db86493867194f7b02849c0ac2aa3c9984
/docs/1.8.0/generated/torch.nn.ConvTranspose3d.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
93,464
3cc09474d754cfee61d24ef761e54b1a4da5937a
86ac10987b8a6e3f5ab1305a602b06cb4cf6d9f5
/docs/1.9.1/_sources/generated/torch.diff.rst.txt
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
71
ed8c3699d31e3040d4e0f1169e4f3c48c06eb9d1
c13461a388e2d9dd252ba3dc6d6532badde342a1
/docs/1.9.1/_sources/generated/torch.Tensor.masked_fill_.rst.txt
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
118
e2de7603624f0b0179ff3c339f80b12f6c6a1973
66b15eb5527c59350ff52b012743b61c23393213
/docs/1.9.1/generated/torch.Tensor.flip.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
31,803
0666b4eb9a57791ec5ed8227eeb751bfb2089808
3dd352d5cc0a221514d1cc1cff70a282a37d19a7
/docs/1.9.1/generated/torch.Tensor.is_quantized.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
31,795
ef52cdfc378adaf07ad0c8f9eeb463d789b5c8b4
be890d3d581e6186cd004ee11257d9527b3bb21a
/docs/master/generated/torch.ge.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
35,665
e9bf4cb9cc6c932fcb3c65305e7ba6d80900f682
8be18bd43393d768b7cecdde49c92772bcdfc259
/docs/master/generated/torch.Tensor.slogdet.html
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
32,193
8563535274faf0f5dbe6f25728545bf8b3e9c82a
d00da4ffa67ee4ea4eb28ea768f224e5cbfc0c29
/docs/stable/_sources/generated/torch.nn.quantized.functional.upsample_nearest.rst.txt
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
284
fef1ed604e7a54d22131c6a076765939bcb930fc
93ce5443596cc53df8ec8b5725cab821a7c23853
/docs/stable/_sources/generated/torch.nn.intrinsic.quantized.BNReLU2d.rst.txt
b765c1320f5d4ed0dc44e7f97034ba6293a8dbdf
259
e5abc2415b5f1cfb20a3a593141a200dbe03d5b7
73f96a91c621be63dea589a42f7314fe76ae800b
/torchtext/functional.py
b76a1a33e0db7b171de9b4bdd67476ee2b684386
4,881
b15b90c375566fff6b73f9b3c3b5f8805182cdad
60d3908820dd8ec53c2dd2fa00a4f6141ee360d1
/bindings/node/lib/bindings/native.js
b76ae8d59e1c33b520e68cdfbdda431f86b478b9
63
570ec9f7be52511cd11d300c6705d6e57062540f
26f96ef4599cb71193ad638f3ca1f561460d0a5b
/advanced_source/torch_script_custom_ops/test.py
b76e60c840522af58372d3d2abbde4f49602eb12
783
41ac70b75b34bdcf91f93d45e061f99251d063c0
eb6f1d7c4d95dd6117c241af7974ce569808c216
/caffe2/core/nomnigraph/include/nomnigraph/Graph/Graph.h
b77969b6519c3d291df990c0099492b54986958b
15,333
7695658245b02347daa970078394e0af9d77b57d
7438a94937c1847dcca68a39842d798b8ae1c094
/ios/TestApp/TestApp/AppDelegate.m
b77969b6519c3d291df990c0099492b54986958b
1,924
51f8bdf31e7c1a0d37bc2cd0ef2b1f2e645ddc20
b80d29700c3f200feecc27e874d9c3ac88abd0f7
/caffe2/sgd/adagrad_op_gpu.cu
b77969b6519c3d291df990c0099492b54986958b
7,757
900eb83f42d3c17981aac8513e2e8a2e52d3aabe
3ac9127b29fb084bb0c1d01d7684ac429e176453
/torch/csrc/jit/passes/lower_tuples.h
b77969b6519c3d291df990c0099492b54986958b
666
550b65197f85b368d38f7b26316237cda66c32a0
b3bf36248f8b855e07af669c7cfd15de8dc729b1
/torch/csrc/jit/codegen/cuda/lower_index_hoist.h
b77969b6519c3d291df990c0099492b54986958b
5,280
9acc4a4f036109296199cc39f1642064ae0964e3
7481ada3bb13a120d7d214f529342cca1a7a1882
/torch/csrc/utils/pybind.h
b77969b6519c3d291df990c0099492b54986958b
7,672
31329b22955e23a9fd95e50c8d058a65f2b1dffd
72377ccf12c7319a7baa8dfee4ae3d2cf1f06030
/datasets/counter/dataset_infos.json
b77c65e41b6bd23d11b93297660cc23906a6b0ad
3,193
747e72dfe19e6640d5a7c5b2e735877602068484
c4887f8c23f3175a2f808d6613749f7322f3a456
/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py
b77969b6519c3d291df990c0099492b54986958b
4,206
01874faa40e9f3a875a46b0443355e0d941630f1
817051aa1b2a9c1ad33b30feb81e14d5d485d5b1
/datasets/piaf/dataset_infos.json
b77c65e41b6bd23d11b93297660cc23906a6b0ad
2,541
94cbde5885d29c742f5927a57af771927daf6ccb
cb9a3ba2b0e1d23e04246fc888a6888f78ac3281
/datasets/ohsumed/dataset_infos.json
b77c65e41b6bd23d11b93297660cc23906a6b0ad
2,728
a281c25d946abcdc9e334d963241cc3d890fceb0
ec69e7fe2a95e933790826e35b5596a471f64b41
/datasets/cats_vs_dogs/cats_vs_dogs.py
b781c493affac8e9f56ab21b109895779bb7ddb6
3,445
c919a9927847c6e4d13e8361e1eb06711486a0f0
782307f5179d96be8aed9fe26320437325d4f48e
/datasets/wmt19/wmt19.py
b77c65e41b6bd23d11b93297660cc23906a6b0ad
2,784
f9f8e48d9242f21aadd3d505f75f3f5608220420
654ea4ab8890ed7f5879406cbfc12c077b7f1c24
/datasets/tweets_hate_speech_detection/README.md
b77c65e41b6bd23d11b93297660cc23906a6b0ad
4,315
5d244fa0ef9d02bc04440c5ab1a50c50ff3153fe
235937bda14285fc354b9659cf21fbdc4f2f4993
/datasets/kelm/README.md
b781c493affac8e9f56ab21b109895779bb7ddb6
4,737
09c93b0d453a1528c84d9f9625d43a034c05a85e
a3484b6b44eaba6a4163e9f32d8e428870e32c28
/src/datasets/utils/__init__.py
b781c493affac8e9f56ab21b109895779bb7ddb6
1,062
322bd44332170aafdeda10a864d83d304a018368
0212eaa2a72b26e86677d86af5ab43fbf1540f79
/docker/transformers-gpu/Dockerfile
b7845757c48c775e457f5df884d4819de4cbb2c2
846
79ed3b3092784e7881bb33e29231b8ba82de4f89
36df84f3055341f10280b2a3bcf284398e2500ac
/src/transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py
b7845757c48c775e457f5df884d4819de4cbb2c2
43,810
4e74775e82ee3a6986dbbf7e1f6a12b277c35871
af6ae24bf4c3494b22b7774c01d7c0ad0f6b1b9f
/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py
b7845757c48c775e457f5df884d4819de4cbb2c2
5,672
9aa14c64b3a6ff601696ab6ee02e0856781aac88
36b45f79889f0f1e4c0320772c26f3bbf52e00d4
/examples/research_projects/distillation/README.md
b7845757c48c775e457f5df884d4819de4cbb2c2
14,937
952b2a315cae0bb1ba3d70534be819f13505f023
591289a726ac850d6c1554bd9da9d1bcdb2a91d5
/aten/src/ATen/native/Linear.cpp
b78b08cb2abc2e0fab620bda58028d4ddc519699
30,203