Datasets:
bigcode
/
commits_sample_files

Dataset card Data Studio Files Community
blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
9d1ab6b34966d455c4c7df01fb7fcfb1393fe3b6
55bda84ceda698fa8f72208e9edf0da89fdfa43f
/docs/master/generated/torch.reciprocal.html
1de28a2e73f73939d88439dbde56d2048b9b915e
40,106
0db164b6e8cefae2bf3737170956caa298e90f13
297014ed5856b8581ebdb7b03aab1a5f9d3e38a9
/docs/master/generated/torch.quantization.qconfig.QConfig.html
1de28a2e73f73939d88439dbde56d2048b9b915e
37,063
c41730f32ddc4a74aa48a50a9d760608f3b87e42
98bac23648bc989da0293aeb928920fd15552011
/docs/stable/_sources/generated/torch.nn.AvgPool3d.rst.txt
1de28a2e73f73939d88439dbde56d2048b9b915e
242
1f36d5fb085ed2d3b9dcb7c9313cc7e2cb54e550
1f05b38adc8ae9b27cb013a5ce326c5ea97d78ff
/docs/stable/generated/torch.nn.RNNCell.html
1de28a2e73f73939d88439dbde56d2048b9b915e
57,732
3f58a007c90b45e64908e4de57b62405689e33fc
c3dd4af5996513630556e349955fd5d9f8c240de
/docs/stable/generated/torch.Tensor.greater_equal_.html
1de28a2e73f73939d88439dbde56d2048b9b915e
32,317
69042c2140203d7ad56c23912ba83bf8f738b4fd
ecfd0442b751bcfa2a1f94c11877e9146759ddc0
/c10/util/complex_math.h
1de7d736a812a3dbde27d98fac8d5e088d2d4b60
10,902
b97f1f12eb2543114d05ddad7bb2b1656d52955b
a31600ef2e7c032526aeef8f35fa9785fe5d4d3a
/c10/util/CallOnce.h
1de7d736a812a3dbde27d98fac8d5e088d2d4b60
1,942
d3dc81d809ac2170424b04546aa981dd4ad3cd1b
500e82991bfb3a25cc577d2453b5b0607d5a52a8
/torch/distributions/relaxed_bernoulli.py
1de7d736a812a3dbde27d98fac8d5e088d2d4b60
5,473
a0c12007989417f8a3e6a4e3a6ce9747e27a4440
60a5861f7befdebd5ed80e97151e267ce3523945
/torch/distributed/elastic/utils/data/cycling_iterator.py
1de7d736a812a3dbde27d98fac8d5e088d2d4b60
1,376
783850c76a666ed7e26f2549316de7107bddd870
3b292afdc5d6cf4d0ef6c218b8b98daa3c83c278
/datasets/rotten_tomatoes/dataset_infos.json
1df70247d613351b70753604cd60b257eeaf9c48
1,864
4acd916f73c82e49880c5303a59b61d181bcd76a
4999415fc6b0a43dbb977c191b029fddfbb74ebe
/datasets/squad_it/squad_it.py
1df70247d613351b70753604cd60b257eeaf9c48
4,289
d2f57309f333421624c0cb0154164d4da46e748e
3f7232df59f05152be93526e531f57e61e56d792
/datasets/sentiment140/sentiment140.py
1df70247d613351b70753604cd60b257eeaf9c48
4,107
316f6e8516bf9efd848a6fbceb2e955be766b26c
2ddb6ac39455c5816c3f66fb91313e0cb82844bd
/torchvision/csrc/ops/roi_align.h
1dfac4aaf8cda9131261a2d74e91dff1e0b97a5f
698
4f1fd552f2e6fd36db8ce62aaf49d935261190e5
e0353dc432bfb6cf917671378d435ebe1722c5a9
/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/backward_f16.cu
1e06c8db3ae764956c440be4ed9675f0ebbbf0bb
407
504eaf7e9a111787eec9a2244d215b5d2708e815
298e8734bf5249153100fa90edd282edf5680713
/aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8gemm/4x8-dq-aarch32-neon.S
1e06c8db3ae764956c440be4ed9675f0ebbbf0bb
159
a1034b438025a708c5d4f13d9a4cc7819e2c823b
e640f48838f37c4a185e6d2840671d550ccbe6ad
/torch/csrc/distributed/rpc/python_call.h
1e06c8db3ae764956c440be4ed9675f0ebbbf0bb
790
87d640d86ba02dabf80572b173dd6f98027fe12e
eff2ae4d5a3231fdf0ad569828f1adaa55cd4cc9
/torch/csrc/jit/passes/onnx/onnx_log.cpp
1e06c8db3ae764956c440be4ed9675f0ebbbf0bb
567
2a585616903cc11c8dbb9880d8b3d59f92fbd797
b1d04277166a8838c16b2acf404afaed349438b1
/torch/csrc/jit/passes/cuda_graph_fuser.h
1e06c8db3ae764956c440be4ed9675f0ebbbf0bb
1,206
4f972a7fdd3de5ab7113dff4364b8075833eb6ed
5271eceaa894d3dad0ac32c3bdc37d01c1d8c929
/doxygen-python/html/namespacernn__cell.html
1e0ed6491cb890f6900c6543fceba4d3c5661741
29,314
0a958eca3c065f364dd86bc70785637c1d364ca0
d0352d7c991488602a5775df71383cb83a7a9386
/doxygen-python/html/classoptimizer_1_1_optimizer-members.html
1e0ed6491cb890f6900c6543fceba4d3c5661741
11,957
de08d248429410f23a798ce5329c2394f8018f87
727f2e3565837896671353e09aeb361b782a3834
/doxygen-python/html/dir_77d3be1a07834b643935a543be963f84.html
1e0ed6491cb890f6900c6543fceba4d3c5661741
8,545
b9ce127542a2f60b9b6fc8dd91b4aaeb19a1c9df
00595d093f10bcd9467c0c7c0cec974306631361
/caffe2/operators/quant_decode_op.cc
1e40e3d6a6688142e100580a7804956e23a519e6
2,261
725878f5f44008f3c4a96ff6ef2b0d763bd5f82b
ed08689e9155b8ac259ef5b86c8051b58a787e89
/caffe2/operators/listwise_l2r_op.cc
1e40e3d6a6688142e100580a7804956e23a519e6
8,930
8743801c58a5e3edd1919146ab31c0e378499bfe
c073242e108d126d8d17ae9342e5571989267426
/torch/csrc/jit/passes/utils/subgraph_utils.h
1e40e3d6a6688142e100580a7804956e23a519e6
2,411
5eba6c9e73fbb26e91719a0a23d9bd8a100ccb8a
2280ea6eb30bb70b7b07c7b72476896a9592150b
/torch/csrc/jit/passes/onnx/pattern_conversion/pattern_conversion.cpp
1e40e3d6a6688142e100580a7804956e23a519e6
13,725
7c979f45d77687af80aaff9eacb3a410bf9da5ac
2bf307f09c418ee4b7d93d4f33bb5373bee7c3a6
/tools/build_defs/apple/build_mode_defs.bzl
1e414735f5def1798ae83cde1ae65c1b2c31a5eb
221
53844d4ffda0a5cf501ea3c02948e7ce369a0665
368d62e34d1c79b1934f4f4782bedb8b5b36146e
/test/bottleneck_test/test.py
1e414735f5def1798ae83cde1ae65c1b2c31a5eb
115
6b7b5136fb944786453c6fa43e5dea89fafe8f4f
3037f8469dad49315d5bd6ef8df1ce5b80c4881e
/torch/csrc/jit/codegen/cuda/scheduler/reduction.cpp
1e414735f5def1798ae83cde1ae65c1b2c31a5eb
38,488
278f549df54800876c267118160388e15d39b5c4
587dbe2e9c5da4a59c0b4bda35a39fde46526d48
/torch/csrc/jit/mobile/parse_bytecode.h
1e414735f5def1798ae83cde1ae65c1b2c31a5eb
790
fd52271423b5038581544b9ca19b59d675872dc3
63844c4e981b946e045ad51cc9ea7d31a5eb93c3
/torch/csrc/jit/runtime/interpreter/code_impl.h
1e414735f5def1798ae83cde1ae65c1b2c31a5eb
30,579
a93e04271c2a0697b492c5eb6e8df80644cb03f5
6712930d39590e35608f00c054937ca5ca435b6b
/docs/1.10.0/_modules/torch/profiler/profiler.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
91,180
4ddd6d3f49fcbc30e9ebc147fe6ffc6dae1a4884
aa4ad34dd976f17064b8398e1a3112ff95b4c751
/docs/1.1.0/type_info.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
26,073
fa750c8faa162e8869494393a520f4dcd1ffc959
97a29a0be50f60c2b2dbba38a9ca35407ebd9aad
/docs/1.10.1/generated/torch.matrix_power.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
32,685
5921e502b68d9c16a0dd07a03f737cafde8479b4
b789196adb4ef114e872af1e478d978f6e343cce
/docs/1.10.1/notes/faq.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
50,842
f9bd88c3e80cfdd8ffc3f415293607a58ce1bfaf
13a304cd9e80fa90a114adb7571927cf77b16cc9
/docs/1.10/generated/torch.nn.LocalResponseNorm.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
47,454
26dd0bbd8fd488f3ae863f7ed8c7e5e259a5a360
3ad065831176bb1009d7d0f253a3090bca6ae974
/docs/1.10/generated/torch.lerp.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
41,611
483f16583bdbb89dc837af4965f37ef176755e0f
70b71fed2fce84a439fdbfb7b1b4b7035d0287b7
/docs/1.5.0/_modules/torch/quantization/qconfig.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
41,299
309c9de60e0ad5298b8e6fc8c1395e5fabe08769
2e4f2d01b8f451962fc06801fc70bee6d6ff0843
/docs/1.3.1/_modules/torch/distributions/gumbel.html
1e45070c0b32ba9deb6e4902709e41bb910f23f3
36,648
f3d2fb23a0cacb178f2537524275fad805ab106e
65489ef0e1c289f144a09641f14a882217fc183f
/docs/1.7.0/_sources/generated/torch.nn.Sequential.rst.txt
1e45070c0b32ba9deb6e4902709e41bb910f23f3
242
aa3489b5aca2cdcb6148a2fe44ca199620ecf27e
589dc211d3b6ebe5e7946b26eaa9e872f0fcc6e1
/docs/1.7.0/_sources/generated/torch.nonzero.rst.txt
1e45070c0b32ba9deb6e4902709e41bb910f23f3
80
e4a1e9b919324f6c96c3d2d0708f8015424e89fb
cf50b397dc5635d70ab9aeb8e47f0d2cb7bdf8c4
/docs/1.7.1/_sources/generated/torch.isreal.rst.txt
1e55c9bf106ab17e711ddc814871ec8ea412793c
77
bff08a366f323abfa07d5404c58023c2efed55cd
ae61ceca5341d9e3d1c4514deb98abf6f55b7ff8
/docs/1.7.1/generated/torch.isinf.html
1e55c9bf106ab17e711ddc814871ec8ea412793c
31,652
51e25164745c6dd6a79a9a19edeb6f76e338f039
c89f9f67f6c61712c0f1c98a888a97548a4f3502
/docs/master/_sources/generated/torch.ao.nn.intrinsic.quantized.LinearReLU.rst.txt
1e55c9bf106ab17e711ddc814871ec8ea412793c
268
5317d03f2ee5e58a26c627d19b1254d233a977f5
1b19ab04880f6ddd6c5e5c0b36e7f8698ab205ac
/docs/master/_sources/generated/torch.atanh.rst.txt
1e55c9bf106ab17e711ddc814871ec8ea412793c
77
f1cd6a0e658e5b4a09f32c0c1a0a4bb2c36a69c9
acdc7ef26da00ebad2b647e4286a95ac8962de91
/docs/master/_sources/generated/torch.ao.nn.quantized.Sigmoid.rst.txt
1e55c9bf106ab17e711ddc814871ec8ea412793c
249
f772680fe34845663a718e7cc18a7f6436fadf13
b2cd7a4e27c621d789996e4e5c912d633addac87
/docs/stable/_sources/generated/torch.Tensor.clamp.rst.txt
1e55c9bf106ab17e711ddc814871ec8ea412793c
96
aeedd2639cd91a6b30d2e855503ce5ba76a248d0
fbb71c2cb123cb21fb57ec32341d86bff06f6a17
/aten/src/ATen/templates/DispatchKeyFunctions_inl.h
1e5a680b350a22d74a0eab4c3aaafe5c5c382ce9
824
ef194ca78fbf2bd3aece3eaed4a1223ce34f1769
62f881fdc389c7329a8f4393f7fd002114d54dce
/aten/src/ATen/ops/from_blob.h
1e5a680b350a22d74a0eab4c3aaafe5c5c382ce9
3,812
4cfd92a3052f9d3c73da73912082ae71967eb646
732cf5d0be80b1a7121896cc41dc7b199a4ed74d
/datasets/scitldr/README.md
1fad847fb108a713cf98c4b910526e7131d7318f
7,084
a156a3a0670f312caea46511528042027d08a5b3
6b86a4effa95084cd33ab25b918103b9e5b30c4f
/examples/pytorch/question-answering/README.md
1fb28480345cfef6504faae344e88006955f39bc
7,175
537e5a2a680680b2fa6cea7e265fcff007a76a0c
ea575a42dadad28b9a921f5e6349f5b9b19ddabd
/src/transformers/models/deberta/modeling_deberta.py
1fb28480345cfef6504faae344e88006955f39bc
59,607
9f517d7a56c49fe103bbfb6081bf0752e286f983
16a9a9f5f3ca42565e1138da62f25e8482ba96aa
/.github/workflows/build-wheels-linux.yml
1fb95a5c0ab0d2e70b1960614957ecc8e2e1a56a
1,488
815ec3f61953b37844b52afbb9e17700ff6c3463
b16203cfd33ca12004606a66ff08a97964fdaa5c
/test/torchaudio_unittest/sox_io_backend/info_test.py
1fd70a5b933dfdb9502d0f5f971045d5bd9f05ec
5,183
eeaf24a260276ef44f0f0a99e8eec4564b47cb13
ae0dc7415d459d408b0b3dd9d77031476dbd8b5b
/torch_xla/csrc/ops/index_get.cpp
1fd41c38140dc646b51910f1c875692018008d5b
1,799
4badafaf1c9b90c341cbce0717b7165b73645c11
edb9b2b08555326bf3fdabced7b7e4f45d8508e5
/src/transformers/models/deberta/modeling_tf_deberta.py
1ff56d620f3648d028603ca53b0a6947f4bc42d9
62,049
018982c5e5214de06e0ff2db57f7d1d156807420
c91683d1cde4d66ca848f5e2149486c5de1982b7
/src/transformers/models/camembert/__init__.py
1ff56d620f3648d028603ca53b0a6947f4bc42d9
4,462
d82fb56915bd3f4ce83675b489a6f549859cc9dc
5caff9e46e1746e4bc50ec7bedb07c67355e1524
/botorch/acquisition/__init__.py
200d21a94c1d326d1017ecef18e1992e6a365e09
2,869
108b07b47c9ce69cf0c88f5b0128776fd32ccc89
b9d4b427661d9217e3cc6bbae7b1ff87ae9d620c
/plugins/build.gradle
1ffc55de7b3fa8b6354750cbb486147542476ad4
2,313
f23c1d9365401551dc3fe939f59c34c4a7cb7deb
03a10e00e1ee8ab310ca31a126825b4dd9391562
/caffe2/operators/local_response_normalization_op.cu
20159f001fb3446da32776fb191a18afe1cd9786
11,756
dccd275fbe6d03345dd0832e264cca5764324c96
5d2db91ad7b902386efa843f5ade0c0295758fa1
/fairseq/modules/transformer_sentence_encoder.py
20186853f0429face3b7b82861b0275a062f0ed8
10,162
cd67029e7f1d522cd6cb94f13f38c16c1c665665
9130db8f5d039519d663ee16c7ff2c102f5481f5
/fairseq/distributed/__init__.py
20186853f0429face3b7b82861b0275a062f0ed8
775
9c822ce81c29dbf2e8be812f62834f23c569c9a6
279458f317ee258e393c4bf1879bb3c14a04ab51
/fairseq/criterions/masked_lm.py
20186853f0429face3b7b82861b0275a062f0ed8
3,402
0239b5a157495e31922abd004e8e0b44ac86fb58
624b32c9fdb105c3d47898478a6bad548f696e71
/docs/1.5.1/_sources/org/pytorch/torchvision/package-index.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
141
b6acb705c1c730912a336c10abd6ffdc9e83e2b5
46757e185dd89609d377c9ce3c395f0907dbcec6
/docs/1.6.0/_sources/generated/torch.nn.ReplicationPad3d.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
260
cd053d2de6b4ab746e3a88b4fb51c801d45c523a
ecab030e22841a0b542363fa64cdfb8bfb59bb2a
/docs/1.8.1/_modules/torch/quantization/fuse_modules.html
2025055a23c3dd2dc79e46a4ac73c882c3410c80
48,429
19647d90c02465c45764fe433737fe84b562136c
51877723d87ea5878f467834d3f4568836577f9a
/docs/1.8.1/_sources/generated/torch.floor_divide.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
97
456dce9d1d116d560a90afc4f881e94c25fedbce
a86250f27bd6b0f460a39515fa66664280c0d1c0
/docs/1.9.0/_sources/generated/torch.from_numpy.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
91
47283272683661a69ce567e70b23ce0fd9cc2e26
40db298a3be81219eb05b0210a02ef0a284e38de
/docs/1.9.1/_sources/generated/torch.isfinite.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
83
ba4fc63f22c22188da482bfa3c87fa5dc5ede741
9fa5dacdf09c89cec845c93a3acd258349085b4d
/docs/1.9.1/_sources/generated/torch.cuda.current_blas_handle.rst.txt
2025055a23c3dd2dc79e46a4ac73c882c3410c80
135
498b5aa880dd96e4c5a3719ea61544f0fb892013
940574baee66bac69f2f60df1184529e83356ff6
/docs/1.9.1/generated/torch.cuda.comm.gather.html
2025055a23c3dd2dc79e46a4ac73c882c3410c80
35,614
bf3407425557268aa8b6a403a6d96ee7576801a9
90aa73f276bdb4d2a3e14dfd01f88d7b6ce181e8
/docs/1.9.1/generated/torch.autograd.grad.html
2025055a23c3dd2dc79e46a4ac73c882c3410c80
36,184
f1c3b3d86a528eee43730c6043d38527a6b65cac
41ef2926123d2133f09ab008d15e9b9afe2f094c
/docs/1.10.0/_sources/name_inference.rst.txt
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
20,765
82f895512bde63639932f3729dde8a012921637b
e2561e2fff6902781a37befea6758b68105f0e79
/docs/1.10.0/_sources/generated/torch.optim.lr_scheduler.StepLR.rst.txt
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
230
3c40973ed9b383c0f3066156e197483f407f2053
b1f21966cfb13522c15c8a70e9783290c1dc160e
/docs/1.10.0/generated/torch.Tensor.size.html
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
34,139
0af892d5ffdc3b34b82d461124f0de5bc041c018
cc920b4cc7566b071977c9c886f51003ddc5847c
/docs/1.9.1/_sources/generated/torch.cuda.device.rst.txt
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
213
51e17b64d6df64d31eb9ada1b80348b446436f79
bc0941a6cbbaf3801ddac68ac311d2319a0f197f
/docs/1.9.1/_sources/generated/torch.matrix_exp.rst.txt
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
91
f5da4adef416f4c284b059d09a2c98765c4d1056
e1e783f92a02ae569c8117df60f37ac6d804d073
/docs/master/generated/torch.nn.quantized.ELU.html
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
33,375
dccf24523beac2312942aeaf5604a9512ce61a47
f7b0d53b559c8ccff2c041704ed36c86b77e3c52
/docs/master/storage.html
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
280,590
666f1f80ab3542347de467388db798491a2ccb2a
def311b4b042f3ea6c8220c3de8c34450303b697
/docs/stable/generated/torch.vander.html
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
47,382
65b342c89fa0d720c660267f609f872e3a391fc7
8e4811664803b6b098cb6f8ba7fdcfb958e75f49
/docs/stable/generated/torch.nn.FractionalMaxPool2d.html
20295e9361f758e9760f0e7a53b8cf8dfd98f4a5
54,709
33e7e66ab3d62c8879a0b1af3b481314f8d8e09c
eb45bad9926460c868b9ed6eb111a24672596171
/aten/src/ATen/native/mkldnn/Copy.cpp
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
1,080
6fb2f2bc01201d65a18065733b41c8c1df23bba7
80a7bb6111f23833b6a44f549c5a630205d76f6f
/aten/src/ATen/native/layer_norm.cpp
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
9,049
f5ff5f6ba797976f3ca8a70fe14b29a95932037b
646d43ccb37947b20831fe8841452b68596a32bc
/caffe2/ideep/operators/relu_op.cc
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
2,471
a5e358b772c4f983f131a345b1216161bd55aa30
a571b38dcefeb945a5a87973b5a96aa504b966ea
/caffe2/core/net_async_tracing.cc
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
15,271
980e8959ffdb968a2e4ee9070f658e9bdc628985
4509a186cc279d5661e8b6f3bfd6ba67ee85ff68
/scripts/release_notes/common.py
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
6,336
85ad9ab05bccbe6d1006fa73db71b500eb330d23
1c616d954ba79c750cb491ed798a577f6bb85ad9
/docs/source/community/governance.rst
2042ac5a9cd6b4f49fcb7405d0d46402ea2d6d1d
13,900
c372ab0ba6218b89c5959d8ed0d3d8d9ffffdb17
0636a4399e898b0e1ca9bfee162461f1f0bbade6
/tests/utils/test_offline.py
2044d5130ecc9b05e96790d9149ad1baa1a19ffe
4,615
6de41335a98cd3f7145089a2f329d8583c8bf650
22f94c50b7cf63f0b38231ab1ecec88141a678fd
/bindings/python/py_src/tokenizers/trainers/__init__.py
204ad09f33b59ebaf4923cf0b70aaa98021f332a
248
17331378fe44346740bfa358785bd0f82f95a65f
e89330a618c137cdaccde46f87923736cc04dfb4
/angular/test/test-app/.editorconfig
204e1e785223be6a058c7241147d96bf143d75c0
246
06acba09a0eeaa339843a1ff5c4ff38dc2eac96f
fb99a5518b4fc21aefac8e7b09b44f3f03f3ac5d
/src/datasets/utils/resources/tasks.json
204d9eec61b99eca0a0e7b595f857cc40a455374
4,509
abd3357d0df183ac5421e8605fe3eff2dcd50e27
320989604570b8cc17728c98e086fbb6596a64fe
/aten/src/ATen/functorch/BatchedTensorImpl.h
2051605f2bc83a378ff15635e603788205782907
5,720
55beb776ce87e6414534093b325be21c7644cc79
601ead39407532220f33edeaa6a106f2c40f1719
/aten/src/ATen/core/adaption.cpp
2051605f2bc83a378ff15635e603788205782907
528
7fd64a554d16d718f71c9d253edc6a4a60da54fc
876a3667d887a607a5a08dff74e8484961d0e9e8
/caffe2/operators/index_hash_ops.cc
2051605f2bc83a378ff15635e603788205782907
1,364
81bdcab942becdb29b2e0bdcd5f25f630060a76e
442f5866cb0916d202793ebe543cab36f6a2b6bc
/caffe2/python/operator_test/filler_ops_test.py
2051605f2bc83a378ff15635e603788205782907
8,476
1bdbb4dedeb171ec0c3f388be2705780601894b9
4442deeeaa56ba092affd30aadac4a4f9be68f92
/caffe2/mobile/contrib/ulp2/ulp.cc
2051605f2bc83a378ff15635e603788205782907
13,865
584692f73284921cafe5b4b27e1b40bea10170bf
d4bf4ae99057efe9b36a4e023c37c867aa64382a
/test/package/test_directory_reader.py
2051605f2bc83a378ff15635e603788205782907
10,658
8dac388c4d1bb5e34a91c352e7fe183550602eac
0330af378746ff8f5969303de97ec3a0c0d390d9
/test/test_bundled_inputs.py
2051605f2bc83a378ff15635e603788205782907
16,459
3184070765cb88371d5a61445f9edd784f7ab81d
5fa5fed16daf80189845afcd15e129085e34f4e9
/.github/workflows/check-labels.yml
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
1,204
e97dbc26a6dc3b357c4211eaeabf84d9b6b3246a
ba693ab7d5809b030ea5e55e8124d9a97ec5751e
/aten/src/ATen/MatrixRef.h
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
2,929
190d7fcc0e890af58b23c69c6f54976ea173dcff
683e671e286650891b1a7a419ba60f5a7c07b94f
/benchmarks/dynamo/microbenchmarks/operator_inp_logs/timm_train/dm_nfnet_f0_training.txt
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
24,427