blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
bbb0157d3ddb46d98f8879e99b315a286ee29bcd
57151d4085602baad04ec0d5544637850fcbcb5c
/test/lazy/test_bindings.py
4f217b72659ace2477f8d75b5f0217c07cb22ad6
199
ed3fa86b5f2987096f3fdb927d2c18451da50860
896709485e14fb30309683ab8fffdb2d6f95d194
/ios/TestApp/TestApp/ViewController.h
4f217b72659ace2477f8d75b5f0217c07cb22ad6
76
1901d7e2162eb6816d4a24a47f37af747f2e8162
bab28835e57c3ba402be3a86d7ab8ddfb4fccdea
/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_resp.cpp
4f217b72659ace2477f8d75b5f0217c07cb22ad6
726
fb1d6694a09afe1dfb9074cd038bc2fb13ef2255
890180ac2a2a8b297b8df0dd8f6a164091631ab6
/torch/csrc/jit/frontend/tracer.cpp
4f217b72659ace2477f8d75b5f0217c07cb22ad6
37,190
4d238c42061dc540bf1df41757954b5f248ec773
be2fa29e392e5964cd519b71c4cb8a67430c8240
/docs/1.10.0/_modules/torch/nn/parameter.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
54,610
a5b42532f98639c11935d462621130c01a5df7fc
5466a099b5b3c06faa37881381f4cb57a7b7ed0f
/docs/1.10.0/_sources/generated/torch.Tensor.isreal.rst.txt
4f246c6f68a09d38d730dd3b9584f7b7d6973008
99
cb6556c46661a8853a9fb18e13a285403e708ac1
5cd96988a00e12c7698de0f1b7050d5dc032d062
/docs/1.10.0/_sources/generated/torch.jit.Attribute.rst.txt
4f246c6f68a09d38d730dd3b9584f7b7d6973008
224
4a7a9051b6f361055f944c04da6700e9302d2c76
600f3574cefb25341e69727cd2630764159ed7a9
/docs/1.11/generated/torch.nn.functional.elu_.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
33,208
1abb4bf4015f286066714fe73d7755346bedf129
59a4a8c2402355e386a374054d5fcbb4f1455617
/docs/1.12/generated/torch.optim.LBFGS.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
42,225
1d75b380c35ac09152570cf6068a623a073df155
c83ae709487b83a4d87c36acce9485b71267e808
/docs/1.12/generated/torch.nn.functional.adaptive_max_pool2d.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
33,209
d1c9111f57e857e50b851e0357983db353c8c26b
3cff4cb5fc41f68af2c8987dceb2ec2645c0dc7c
/docs/1.13/generated/torch.scatter.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
36,778
e30c6f2c3e3638370c7471bd88eeae92f68c6429
21ed2c7ac0e04493f36a72c8ba2246340a778acf
/docs/1.13/generated/torch.true_divide.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
36,819
02a6d3b6bd4796021c50d96e50118bbdadf3b49b
775d65021c8ccea36c69da6c2bfe9f63a6d616d5
/docs/1.7.0/generated/torch.nn.utils.clip_grad_norm_.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
29,171
46b9660abb9b08a41eaacb2a562db7da9feec354
de36b5c8d5412b838425ac16510ebb3ca6d5ac5b
/docs/1.7.0/_sources/generated/torch.arccosh.rst.txt
4f246c6f68a09d38d730dd3b9584f7b7d6973008
80
7a51b1ae5467c74d17707878691586ec5b036c98
26acea967387bb6271a13f2c3f496e9db9f55108
/docs/1.7.0/_modules/torch/nn/modules/container.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
118,709
ef42979a28e092a07a08dd49c3a41c8c47632bd6
26987417d90275a121cdeb196d7e2b8648d0350a
/docs/1.8.1/generated/torch.greater_equal.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
31,494
851e4c59b579b0ea5088ed9211e486396d2bd11b
0ccb953e99cb25d00877ce2c307d848849988042
/docs/1.8.1/generated/torch.orgqr.html
4f246c6f68a09d38d730dd3b9584f7b7d6973008
32,596
e6519715e79b59ab1ed60f60011ff091ad743dcc
66b9daf7fad8c8b40313c4e43b757e021784d2b9
/aten/src/ATen/native/Sorting.cpp
4f333b6298b73c4c65b992c09f035bf73640433d
29,745
e2c421f9be8c13aa67fd9cd4f554c5ce04878262
61b92139294fb90a25989ebd2ee52a765fb278a2
/scripts/convert_model.lua
4f322026e8a5f8f209273c80645d5207d351066e
3,423
a411a51049fe56e5f2c4ddc1676d89b4e7e717a6
6f1e9e75ea3e2952b8bf4bd0637a664fea4b0694
/aten/src/ATen/core/builtin_function.h
4f333b6298b73c4c65b992c09f035bf73640433d
2,036
118606882ae6f70f4b0fcabf8545d1619a04a8c3
459f56915d7742b70e8ad29a51ad752d95f99872
/aten/src/ATen/native/vulkan/glsl/quantized_mul.glsl
4f333b6298b73c4c65b992c09f035bf73640433d
1,503
c96979c598324c6a190d3da0fee0bff24bdfe794
0850ba6ebb57ac85f825838de85ebfb0df5b8bb1
/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp
4f333b6298b73c4c65b992c09f035bf73640433d
19,933
acfad45341dbcbe30732b3d3c2603e6b450f40d9
80340d19daaa46d8f3f9af062cf32cee5cc48ba3
/caffe2/python/predictor/predictor_exporter.py
4f333b6298b73c4c65b992c09f035bf73640433d
10,029
134729f4495b2cdf656436c72cbbd88875f5dbd2
82d165890f1eca9fd78536ac0d94954dc5941b70
/tools/autograd/gen_annotated_fn_args.py
4f3b450ef12ec29fd650b001afedb6d251eb40a4
3,638
d5f24bdb7a429ab78277c955c1ba319d7ba6204b
bc320ddd48396e24708b0b57ed90796c3d81169a
/test/test_sort_and_select.py
4f3b450ef12ec29fd650b001afedb6d251eb40a4
50,183
37a671e07c03b202eeb3eb04908650e07da0f77a
c50c0b0a533eff93ee4c4cd06bedcda418c3ab77
/datasets/mocha/mocha.py
4f7181f28826137cb0fa52b559181621a8c59bc3
5,206
23e3b75d2db08713c0cd1300ad64f58c2e859e75
e0f8d4a5927e8e23e0a701426a66c49c3ea4f608
/test/test_transforms.py
4f6fd9b49c28ca9d4ccb4859d5a6d8c96d16a765
83,671
9268cd952c3f7b83581a7fee27a6f9c346dad2aa
a7345de59b2a26dab77dba7fcf855b9df7c6fbc1
/torchbenchmark/models/LearningToPaint/baseline/DRL/rpm.py
4f775b8615d53db3ffbb8c4018752dc1e58ee3ec
1,391
89132d93a1e49dc84440d6decafb058aaebe2720
5e4fd7e1cf1186d653a341c18e521896394b6e0f
/torchbenchmark/models/demucs/.gitignore
4f775b8615d53db3ffbb8c4018752dc1e58ee3ec
77
7e565f8ae10cde3a67be199b7040b4b04b5917a6
9e73b59e7e5a2b0a480779db987464f8b8320cee
/examples/legacy/seq2seq/save_len_file.py
4f791a9c96e52203f16f863ea6a492ab4bf7e56c
2,111
05fd4fbfe577977c263390a234c9bf63670044af
b49a0cc948b9b0753afa8e92f5e1ba386ef62dba
/torch/csrc/jit/python/python_sugared_value.h
4f7a69b478e572d713b65b00b65e86e80cd5c611
11,225
7cff03977d46c7bcfa21b1c4fed07f4fb831db36
4032d22f2bc13f667cec5025148879cd7117cf83
/torch/csrc/jit/passes/fold_conv_bn.h
4f7a69b478e572d713b65b00b65e86e80cd5c611
995
c409a2007197625475977cf24d04a9e2dbb6f864
3f34a94f0551b4a00b7241151fe8a829f581d031
/pytorch_translate/examples/generate_iwslt14.sh
4f80b28fa35bfc34782a1575e6f51a53d645a9c7
1,957
f3dd39fc0c0f9218a2ceafde028f86fb289eb4bf
e4242055e991a2f581669c2198ffc909794da9ac
/third_party/google/protobuf/generated_enum_util.h
4f7cbbb1ee1cfef4815d905e4101db48b0b949c2
2,125
53fc5be9d8b2a5926ba7a4741d10f11f8764ea73
86c770569d43d9946db9c74cfa4468c432df5482
/fairseq/models/nat/cmlm_transformer.py
4f81bb421fa83b831887b42eda0b717a8de5e2b2
6,347
c820fa87046a6c3eae9249eb81633138101d26e0
d89fcd4f5381a0d558757ae4da1c28537c39e72f
/caffe2/operators/elementwise_div_op.h
4f9f42460bf2f351c92455f2ae1271d02cc57554
1,062
2be968de35a4a361e3d595dfc6fa64fc1aabc50a
b9309f3715c6e37eb32a60115dc1d7404731002e
/core/src/components/infinite-scroll/test/basic/index.html
4fa361450bc26fe9187d11825043b83077ef8066
1,831
17e186fd48d72bc64e3ebe3b12089b373d4d3002
65c79942019c27ce59ca2b300218caff1196de15
/core/src/components/content/content.ios.vars.scss
4fa361450bc26fe9187d11825043b83077ef8066
565
6a585072d58ff1c6c091b60d593bf89e2e60ec13
a778f8e4948eaeea42db424a230a99b2e098d043
/core/src/css/float-elements.scss
4fa361450bc26fe9187d11825043b83077ef8066
779
1d98132baab26d9424158d2a02e248eaf6c586c7
2e261c9d28a3d30d5e52d4dd44ccc16ea1b6710d
/core/src/components/item/test/standalone/e2e.js
4fa361450bc26fe9187d11825043b83077ef8066
535
430aadae7080699d37e046372f48cb01f2606134
9b5edba61a1e4a294534da6313fb320ac435750e
/botorch/models/transforms/utils.py
4faa25b4712b498c6ee00231c280465f4f80d88d
3,110
816023560bdc0d20b4251a5a85071de3f90e5aac
49a21d3afa776e485c561aaef203183d70596c55
/test/acquisition/multi_objective/test_utils.py
4fad76a6964acdfd9cd81581723504a1ca75b179
8,009
0b825b35c7b32c9b401727e2c2297ab901523dcb
6cefe4b1f78ef7dd60db0c5bebce25bed5078858
/test/models/test_fully_bayesian.py
4fad76a6964acdfd9cd81581723504a1ca75b179
26,260
8831d05328e015b4b05e5f6f293642bc091193bb
06ca449ae9d2b2849163b0350a58bccfa5b431f9
/aten/src/ATen/cuda/Sleep.cu
4fc70b76a2bea43d7a2bec6b1b814b421507513b
583
694f021e4d349931bf00ee5aac3a0f646ca99477
89e7f9ab1a2a69b5acd2ec8d8e078c52e1575d2c
/.github/workflows/update-viablestrict.yml
4fc70b76a2bea43d7a2bec6b1b814b421507513b
1,883
40e3fce8a00b084c4f724e5da12d9737b22c54d4
588b4a827cb82b2570820c1581c3bc02e2cbf848
/caffe2/python/modeling/compute_statistics_for_blobs.py
4fc70b76a2bea43d7a2bec6b1b814b421507513b
1,909
494bacb45cf0dae905454e694e9d0ae4c641bcbf
47216d51500c684ff0ab92ced2115ab72753cad4
/caffe2/python/operator_test/activation_ops_test.py
4fc70b76a2bea43d7a2bec6b1b814b421507513b
9,691
f10341bef7a63d0fde88c0eb606c5c39e9a2d35e
a27db02c1e3a7f53eda86520d4d48da7a421b22f
/torch/csrc/distributed/c10d/PrefixStore.cpp
4fc8a249a5ee306b1f3ef6f550c6931038ea6dde
2,253
23e1bd404dc238d817f319948a1537134c44455c
ddf43863351a5f20a6ccb6e9d38e8abe6f8967f7
/torch/csrc/distributed/c10d/exception.h
4fc8a249a5ee306b1f3ef6f550c6931038ea6dde
962
a828b98cea75533eb9c72bb2d683b4b360abcb51
7701e97fe9189cb49a2c98cfa5cc1f5e41190941
/torch/csrc/autograd/utils/python_arg_parsing.h
4fc8a249a5ee306b1f3ef6f550c6931038ea6dde
1,473
b13f6f0b07ea0b614ba04cc2ca6f80694e781aaa
d515afa5d8e1e6f0710a924d237cb1c253c3bba9
/torch/csrc/jit/passes/onnx/constant_fold.cpp
501362e575da8cf2496f4e933a7a33f8060e2931
27,180
a2c0f6db633bb58815605c2d31c8a6197f246d4e
0130e41ccb46edf3ab5d5a35c80607383acbddf8
/torch/csrc/python_headers.h
501362e575da8cf2496f4e933a7a33f8060e2931
649
c94e57899c3e08319a7411a73122a52f1cc7734c
cc7c6fa4c942d4db37f803b77521868038bcbeb6
/docs/1.3.1/_modules/torch/autograd.html
50a4718d29591b8b4eca10ae098d7ac918d7769e
47,831
10dfd2d82ef79e85949a88d385204c6f1c0950c8
a11c55fcbe890e7184e257015636b9a8f3eeea05
/docs/1.3.1/_sources/notes/large_scale_deployments.rst.txt
50a4718d29591b8b4eca10ae098d7ac918d7769e
6,411
9bed2ec63c27c88cbcfef5b743f0425291b2d3f6
ac0ba8024a15a8cea5882cd933859a01d8a5e763
/docs/1.5.0/_modules/torch/nn/modules/dropout.html
50a4718d29591b8b4eca10ae098d7ac918d7769e
41,719
1f698185458db00a5edefaa87e657dfd36e62595
c16970e129a028b43130cd9fa0043e6aee51a1f7
/docs/1.7.1/_sources/generated/torch.split.rst.txt
50a4718d29591b8b4eca10ae098d7ac918d7769e
74
733620eb163ffd51ceb1390b56a60c1608c1ac80
8f8c1d496f9e69c8966a9aaf5e3f5a0db99a8a80
/docs/1.7.1/generated/torch.isnan.html
50a4718d29591b8b4eca10ae098d7ac918d7769e
31,565
4a9790fb68a50eded701f393aaa304e6510974dd
3bb80bfca9db617dc492372b7bb1fe9aac76604a
/docs/master/_sources/generated/torch.cuda.get_device_name.rst.txt
50a4718d29591b8b4eca10ae098d7ac918d7769e
126
55a9157b3909cab6dcef28538caf4c8eda3a7180
87cf39011e8a03a069fa8b99f85c45ddcd36f4ae
/docs/master/_sources/generated/torch.addcdiv.rst.txt
50a4718d29591b8b4eca10ae098d7ac918d7769e
83
ff40c2fe4d3f5810e622d54399f7c09d3fbb3e60
9e9a654f9f415203d1068eb6c7ee9daad54d6f6d
/docs/stable/_sources/generated/torch.nn.Mish.rst.txt
50a4718d29591b8b4eca10ae098d7ac918d7769e
224
6ad8e5d0cb86a2e81b8e6bd4e62efe4730b67a64
132afa8a412cfc5a5d760366bff0b9604896ec02
/userbenchmark/nvfuser/__init__.py
50a4b6eb97a3cf536bc7cbe53f7d43108fc64d26
3,185
858508c3d794d21d374d7063f4b81451a13b416e
e769a7121d5083c25a0582bd6af6263e467dfd32
/aten/src/ATen/native/mps/operations/Indexing.h
50e8e4a66f27465f6270e28e8d8dabc54c905eef
1,251
31a2deb3b15594fe4270715da40f9a6afed2b838
85866b3f0f3253225a2f20d0be83cb4838fed544
/aten/src/ATen/native/cuda/CumsumKernel.cu
50e8e4a66f27465f6270e28e8d8dabc54c905eef
659
53fcb79a6d2ab3dd2875efc41b4faed5ac08f8b5
c04693bb72e215e850f6553051818e87929bf870
/aten/src/ATen/native/cuda/TensorModeKernel.cpp
50e8e4a66f27465f6270e28e8d8dabc54c905eef
3,424
8318655b420eaa25b167e809a3a2fbcd90daf6c5
f8c21fb4dbe832a76c67aae1e519a88fa682ec5f
/aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/x8zip/x4-sse2.c
50e8e4a66f27465f6270e28e8d8dabc54c905eef
236
e91fc0a502327430a28a12005e263db518d4444a
3a9e400fa81b2debb1e9e4a2bda46b378275625b
/aten/src/ATen/native/quantized/cuda/Activation.cpp
50e8e4a66f27465f6270e28e8d8dabc54c905eef
1,146
18664b22f136f79a217f51bc2b50465e3236e30f
f9838e00cb4edb9930f3b2afe4dd25620795c569
/c10/benchmark/build.bzl
50e8e4a66f27465f6270e28e8d8dabc54c905eef
268
8e248c303195b9f14823772a6493d3b747adcf23
f3d9dd2362d8341a5a017f14f8f04ec8583a7d14
/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.h
50e8e4a66f27465f6270e28e8d8dabc54c905eef
2,306
d19af37e26aabe7a6820dfa5e8e7af036dd3c320
f9397d18d6f27e58695ec694cff151167ddd3bc9
/torch/ao/quantization/experimental/qconfig.py
50e8e4a66f27465f6270e28e8d8dabc54c905eef
2,532
1889f9483a0abcf61c160d0a3b1673d6a072655a
4554f546ee050a2c30dcd085f1b9461f121cf98d
/tools/stats/export_test_times.py
50e8e4a66f27465f6270e28e8d8dabc54c905eef
423
2c4b2b2a16164750a4bc6b109d86b297f25e5005
cafb86761692bc936a88f86894846a86b717dbc8
/aten/src/ATen/native/transformers/cuda/mem_eff_attention/mma_simt_tile_iterator_residual.h
50f179baa8441b66abc757a5bb5ae9b013f6ded8
10,092
0c08f3b32cdadd9692ce88e48e427d8aff6bcc60
bf0fe21ca0b174adb35c3322071b1ad786131906
/benchmarks/cpp/tensorexpr/bench_reduce.cpp
50f179baa8441b66abc757a5bb5ae9b013f6ded8
17,458
e8cf9e85a9a2ef7d67307f54b1de8c8af51b7544
37eccad579d2caf966b63f73eb5a5ecad81e1fe2
/docs/master/_sources/generated/torch.narrow.rst.txt
5107e2f51887ec5da76828b0f652d6f150e10763
80
b1c9a54e662ffaa560087714c8b29a6053a3f405
62c5436a620f0a5fc3f8910e14a911de9a5bc88c
/docs/master/_sources/generated/torch.gradient.rst.txt
5107e2f51887ec5da76828b0f652d6f150e10763
86
5cc48b815554bf68ffb6f56ae1962dbb49f10e76
0d2e8a97983eb0ebc35ff1b360892b67ab2c7919
/docs/master/_sources/generated/torch.nn.modules.module.register_module_backward_hook.rst.txt
5107e2f51887ec5da76828b0f652d6f150e10763
209
9218be921a1b8156ea3abe4e50910314e19cf138
c03b6648649c7eca8537121f11a48139859cb5b6
/docs/master/_sources/generated/torch.ones.rst.txt
5107e2f51887ec5da76828b0f652d6f150e10763
74
39622591fc6b97150fe71b2bc21b1b61a112a698
a767b80e244d3e27772ba389537657197092cbc9
/docs/master/generated/torch.cumprod.html
5107e2f51887ec5da76828b0f652d6f150e10763
42,002
fc038f2b1ad519e3501f7dbf18e01fb5df4e7ad3
aa0ca41c656785cdc95d9219439f8412bd4880c0
/docs/master/generated/torch.linalg.matmul.html
5107e2f51887ec5da76828b0f652d6f150e10763
33,757
3523d2cf1595866be5dca95d34586d137336da85
d6602eae0fad6f4a2592e17857bc1b3855c08cb5
/docs/master/generated/torch.Tensor.bool.html
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
33,300
7cbf2b60d67b3facad33c413cdad12292733f2f7
de05f580bb4a5cf4bba87b7f04c54aae0a1a75ab
/docs/stable/_sources/generated/torch.nn.PixelUnshuffle.rst.txt
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
257
a0c876282bdb6b6daed83199c4ef23c4e0f6d4f0
9bb5568f98d9d2d628b5b00f453bbb956ec058f0
/docs/stable/_modules/torch/utils/data/distributed.html
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
50,531
abea548577dffa2764478bc507510061d4f0659e
7fa09409db76d606bcf3d57f079a8309aab2cdaa
/docs/stable/_sources/generated/torch.fliplr.rst.txt
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
80
b656e2c43297d76ea42ef30e9af7d5734f5e69d2
90ec1f7b5437843940a50a90d06e83c5481788aa
/docs/stable/generated/torch.nn.Embedding.html
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
57,549
33b9623399e6416f6ad6261d7e35a9564a3db2e0
9fac5b49e1898daaaffb21ce04268355eb3978c8
/docs/stable/generated/torch.matrix_exp.html
5108db47f0a55ba3fdfc0472457d4c2237b78a8c
32,874
92712c1d8b7b2bf8885cc237108002f671efe6cb
e9e4699d128a0711163fe3101fc48c9fe1e68b17
/s3_management/Makefile
513ddfdde149424a8ae6c07c7a98cfa0849ea8e8
262
91d442da91e8ef2d92b58d5ca13119f880b78341
5d14dbfe2f6e07bc8d1f06a4e862ec1bc6e4f172
/common/install_magma.sh
513ddfdde149424a8ae6c07c7a98cfa0849ea8e8
1,003
ffd961db35c0a11f53ac24f3b6b4a4436b3cf013
62a293dec5ecf59c1309864a4f256252861985c6
/docs/1.10.1/_sources/optim.rst.txt
51771159c4008b1322059f1c02f3da0f7144c25f
11,241
49feffe753d03d6c83453c034f6a64b64933407f
ed62068eee8a5aa1d93ab0ff56a4ee4b74099a00
/docs/1.10.1/_sources/generated/torch.kron.rst.txt
51771159c4008b1322059f1c02f3da0f7144c25f
74
a908dbfee647eecad3034a606415698b4c335ecb
2e9262ea331c706bf707a047d1039620bde30fb0
/docs/1.10.1/_sources/generated/torch.less.rst.txt
51771159c4008b1322059f1c02f3da0f7144c25f
74
a6d72d712b865c53dae49f0ef79b45ca6381f813
ba91d6ab1af2ade2cb5b6a8594fb70ca302615bd
/docs/1.10/generated/torch.nn.ReflectionPad3d.html
51771159c4008b1322059f1c02f3da0f7144c25f
60,822
b2cd057d5e446c8232700d56dffbbe7ade6d033b
dc03fafc11088bc55eec0ce28ac5abb17fef9b46
/docs/1.10/generated/torch.load.html
51771159c4008b1322059f1c02f3da0f7144c25f
44,142
ea9aab3bd6d328305c1404b0c4fdeb7f496a3f1e
38d8534d85c8409e53251b00ae3d73b5cd47a8dc
/docs/source/en/perf_train_gpu_one.mdx
519809c863a621463bcce6307d44c2d49de5117f
42,597
717402e55d191435bba99f508dd00e9f005d05c1
f410bd5a557291e3cdff33f7a0b848cff773f310
/docs/source/en/tasks/language_modeling.mdx
519809c863a621463bcce6307d44c2d49de5117f
16,361
660225e94f03475e38ee842196436331813db6cd
970b9852aecd3901ecbc50baa89335e6c676ee1b
/src/SparseAdagrad.cc
519f59907b0eaa61cfc89f77209e7c5472768f08
34,409
30a0cc4b7c80468c7e90f5e07aea96e5a9766a89
484b642a21755f4bfd1ef29b627444b86875300a
/include/fbgemm/FbgemmFP16.h
519f59907b0eaa61cfc89f77209e7c5472768f08
1,362
83a5a0a00e8ed35e327f96045f25616e588ab62e
8fcc6b8d2672d2eacc6d01b9688bac44d5e1ce26
/fairseq/modules/dynamic_crf_layer.py
51b88f5cdfab7fc64f0dedc62368bceb3cda4a2f
7,717
fad2d766aecc395ffa47585e683928c579eed8d9
e59814f60818c403489c83c08e0a940365e69104
/docs/source/en/perf_infer_cpu.mdx
51b9f6cfc84b9d82cfd1d91ab2be82d4e1a4c00d
3,220
b857bc145f648c425311f0ebfe31334a8af2b98d
b4d1cdc19804ce741b708385facd844116e363f2
/src/transformers/models/pegasus/tokenization_pegasus.py
51b9f6cfc84b9d82cfd1d91ab2be82d4e1a4c00d
13,288
ede73e1095329e66e981b5ca1abae68e4fdd7d4e
703440d80ad71b656ccf5f8a3f5ecb172e4e90e6
/src/transformers/modeling_tf_utils.py
51b9f6cfc84b9d82cfd1d91ab2be82d4e1a4c00d
131,481
55c891a90e9fb5060e7707a60dd3baba4be10f65
1faa142ed8ce3156855370f3a991365ca285f447
/test/acquisition/test_acquisition.py
51ba902614c231b93ba7ed8afdb56021bed3d228
698