blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
2e9009fe7e2602d603e6692844906b4f62ee4edb
bc96f8f736ea4a61a925e6f53bddaa1605903c9b
/docs/1.10/_sources/generated/torch.tril.rst.txt
3d675fb76641bf6a90263baa518f6ffcf542e55c
74
d4cfb22cd54e8bf751b93f3f4d922569e3e000e8
82202c63e6e9c60f40a7bd4279334036558878ad
/docs/1.11/generated/torch.Tensor.triangular_solve.html
3d675fb76641bf6a90263baa518f6ffcf542e55c
33,534
c98e88b8b773c6bcfcbf4ae81d3f887092d22cd5
d31705f12c515bd24f451f5b75e847c1815ebabd
/docs/1.11/generated/torch.Tensor.q_scale.html
3d675fb76641bf6a90263baa518f6ffcf542e55c
32,829
08334220b1098ca3d3b8029601e02a428e6bd280
faaab54edcbd083626523f27b59d6cf0df81884e
/docs/1.7.1/_sources/generated/torch.nn.TripletMarginWithDistanceLoss.rst.txt
3d675fb76641bf6a90263baa518f6ffcf542e55c
299
0c1abc4b9e578d80502bbab540061956028d2f7a
27db9e54565c484ba9a23f3fd433a71d692c51e2
/docs/1.7.0/generated/torch.topk.html
3d675fb76641bf6a90263baa518f6ffcf542e55c
30,793
1e162156960095581976502b06e60ea5eb45da54
de2c1135ad20230a7deae36be53d5eb7884f4d55
/torch/csrc/jit/codegen/cuda/lower_validation.cpp
3de1e940512394a6aebe499a9ce07a33a427ea7b
47,606
4f250cb6a8ab27477d0c029fa590840c4117f9c0
a7b3a707db277db83424f336c1bae80cae7e2e4b
/torch/csrc/jit/tensorexpr/llvm_jit.cpp
3de1e940512394a6aebe499a9ce07a33a427ea7b
11,219
a3839130bf3f356fbee0e24153384510f61ef438
1cde8e4cfd0a31a40b9794a42cb9ca8062e6426a
/docs/1.2.0/_modules/torch/distributions/half_normal.html
3de796d6547d9908d34cd6289861217b887f31ee
28,772
16998832f996e5e25a6cc025c6dabf4029ed34e7
9d4e15fb71ea3149004b3219a9196a35f776eec4
/docs/1.2.0/_modules/torch/optim/adagrad.html
3de796d6547d9908d34cd6289861217b887f31ee
35,580
afdf88dfa7b134f5468cf389552a2f0d6195cf4e
68b26ed1381133db9de0ba7cb2187578fb7d680d
/aten/src/ATen/native/FunctionOfAMatrixUtils.h
3df1cf531ed7a4f41f2b3ebf4f4bb3c36d18aecb
389
34c1916abdc5095965c4ac73eb95559d2b1f33a5
5ca188577e16b2716fa9a33a491b768d1fe1eb5e
/.gitignore
3df1cf531ed7a4f41f2b3ebf4f4bb3c36d18aecb
5,474
bde68e06295390ba24a21a68136a541d6578896c
d9d11075dd20425db8d6b5981901250157a00d8e
/torch/csrc/jit/ir/constants.h
3df1cf531ed7a4f41f2b3ebf4f4bb3c36d18aecb
2,032
64def701f7fc533fbba98f842a255ea409d43a49
5ccb49816b3bfcd778fcb819e6cddb4e7dac6180
/torch/csrc/jit/codegen/cuda/examples/sinh_libtorch/CMakeLists.txt
3df1cf531ed7a4f41f2b3ebf4f4bb3c36d18aecb
236
6a35643d30964ff261f3076060036f32d5738fb1
358f6ead0543621c87cd8c23845500c42d791b3a
/lib/Runtime/DeviceHealthMonitor.cpp
3df787c975f98809825140c29e54fd5b35d1f2b1
1,238
8925a070857486a3c200046d6ce11f5e58cbc4a7
814a504aa50c244900cbfa15fb94f4fb166426d9
/tests/unittests/GlowOnnxifiManagerTest.cpp
3df787c975f98809825140c29e54fd5b35d1f2b1
3,258
798ec779dfae342275be75deab95d284f71ccfb9
4fda547d87d456567749904b32b00370c161abd4
/caffe2/operators/perplexity_op.h
3e06fd0a15cb371132b3cab3d5de754b2fa53051
447
6c0297a8b70babbdade8fab3c79059f7648d6b70
57b4858d6456068cda9ccb2886c1927df94390d6
/caffe2/mobile/contrib/ios/ios_caffe_defines.h
3e06fd0a15cb371132b3cab3d5de754b2fa53051
65
5960cd4d6467f1f56e91cfb14394b96c2f133003
cc68aadbc652aa52747f70d47730ef64f54cf304
/caffe2/operators/negate_gradient_op_gpu.cc
3e07cce750a685e8a839ae30de3321b5a2959632
198
9c76b334580aef85c90bf1e857a59921098dbae2
7a4ae2d30de0ddb14c96db9dd1d740d0b41c3fdb
/caffe2/operators/sqrt_op_gpu.cc
3e07cce750a685e8a839ae30de3321b5a2959632
263
ae14a0c32b87236f5161ef5fce511b10dce4f7f9
2ea25de46009fb8b7e127e18ec7d03d11cb751c3
/caffe2/operators/reduce_front_back_max_ops.cu
3e07cce750a685e8a839ae30de3321b5a2959632
4,941
63e96dfb08162929bf44d4b5d00895d357043bc2
5fe9c06c257fd5341ddb691417ea2009fb7c168b
/test/cpp_extensions/cuda_extension.cpp
3e07cce750a685e8a839ae30de3321b5a2959632
754
f0b07afb5887b30a7b751f17fa2d0a5fa0e9fa3c
b132629ac7214d9d123ac7fd92feec0fcf305aa5
/test/distributed/fsdp/test_shard_utils.py
3e07cce750a685e8a839ae30de3321b5a2959632
7,089
2865571527c7034ca1e0f26363129e5d9ae05a1b
7874573a3d01b6cf513c86ffa80bc725c4eea0ff
/torch/csrc/jit/codegen/cuda/mma_type.h
3e07cce750a685e8a839ae30de3321b5a2959632
7,027
d78d4a0ac957d9e71032b1720100cfd859b0cef0
ed6c87e300c61a2169dc9c1f27d1ba0f5a4a7d02
/torch/csrc/jit/passes/remove_exceptions.cpp
3e07cce750a685e8a839ae30de3321b5a2959632
1,355
2b860765978492652a261223c6f118dd6b09f941
2c7bc1771b715eaf0eb0a7d17c6df48bc1084c4a
/docs/1.11/generated/torch.nn.functional.pairwise_distance.html
3e180a0612cf804c1296debaeebd6e416254445f
33,866
c98e88b8b773c6bcfcbf4ae81d3f887092d22cd5
d31705f12c515bd24f451f5b75e847c1815ebabd
/docs/1.11/generated/torch.Tensor.q_scale.html
3e180a0612cf804c1296debaeebd6e416254445f
32,829
1de3c01ee6a37f4017ab2375a6d24dc02f6e5fb7
270c9a4e160f51bb94f2fbe83b58d47f60fa70f7
/docs/1.11/generated/torch.nn.BatchNorm1d.html
3e180a0612cf804c1296debaeebd6e416254445f
57,025
ac703e0433b165eae8a728d29bfbb29d593de897
5659b120d5c572919b49e859e5532b80f0463db8
/docs/1.6.0/_sources/generated/torch.nn.AdaptiveAvgPool2d.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
263
46cb6d494bad1a65ff371a8b578e66c757e477dd
09ff634ce4f78cd11b6dcf2832824787c7187e60
/docs/1.6.0/_sources/generated/torch.arange.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
77
2afc9a0873f36f22f21756f451b9440233b83db4
20ed9e732b3c37e413d8c80af8d4c7a3afe30ca0
/docs/1.8.1/_modules/torch/jit.html
3e180a0612cf804c1296debaeebd6e416254445f
40,342
a64eab8d77864da2b62bec61d994d0206c8b93e7
3cdb3222343456f659ef7c631e5b548fce823bd6
/docs/1.8.1/generated/torch.all.html
3e180a0612cf804c1296debaeebd6e416254445f
37,302
0539389c888a01acaa77b338506f9bbe9ac493e8
0949f9742dff8087af665d8d26607365b724528b
/docs/1.9.0/_sources/generated/torch.combinations.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
95
4a985b92c32d6d13fd24b8ba00e8db900e728473
637449b7d7f50afbb0234d17515056a0082bc1d2
/docs/1.9.0/_sources/generated/torch.Tensor.sparse_resize_.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
124
1330925564f62f7153952bb600f3e556f3bf62de
95f765830001a857c3e3c87df2b6553c84521195
/docs/stable/_sources/generated/torch.Tensor.tril.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
93
d7ab2d3fcc538956f181e700750d773450e0884d
b7ebcaace7c7280e43954a1e5af0b78d0ba6ebb9
/docs/stable/_sources/generated/torch.Tensor.trace.rst.txt
3e180a0612cf804c1296debaeebd6e416254445f
96
a11864120ff1097db9297557272b25b7e81c58a1
95f90efc28dcf777632db175bff22aff65f10450
/docs/master/generated/torch.quantization.qconfig.default_dynamic_qconfig.html
3e180a0612cf804c1296debaeebd6e416254445f
33,702
d1b4dbeb0c481e98a30413a3b7f926fd649bb5bb
7f6a0d842bd7277dcc7d4ed75f58666b69d09e30
/docs/stable/generated/torch.Tensor.tanh.html
3e180a0612cf804c1296debaeebd6e416254445f
32,119
04d42bf79dbd255e846535807809e75d17b73667
10f3135079eea2a1ced522fd5684911cb8787e58
/docs/stable/generated/torch.Tensor.eq_.html
3e180a0612cf804c1296debaeebd6e416254445f
32,201
7d89d2420a81d2d5ce06bd681365f205102cb0e3
12ec0045fc6afd55217976fb1a9a180881fe4495
/docs/stable/generated/torch.broadcast_shapes.html
3e180a0612cf804c1296debaeebd6e416254445f
34,143
57beb00faef3ba7a59d991ac5ccc863c02c9d659
b3169279082ae93cbbfb26b213110e0325eb90e1
/torch/ao/nn/quantized/functional.py
3e2480f7acddadd3b9cf5036bd98448ae96a04fa
28,683
204d95b84236f3b71513a17b0b07d23f871a6ff1
fc2dc156f7d5e8a660d9a0d6b41d936c126de599
/torch/csrc/distributed/rpc/testing/init.cpp
3e2480f7acddadd3b9cf5036bd98448ae96a04fa
5,015
de838581eb967e6b487a5ff4e569a1419f33398b
169e9280b6dcf09a385069e347dd6d56d6a6bac9
/caffe2/core/nomnigraph/include/nomnigraph/Graph/BinaryMatchImpl.h
3e248dd03a2110a918d1456f5fd9b9d0207ee663
2,874
d578ad5ce5771f85af0535def4f0099e29fa7462
5710f5ade75cdef5b58cc7325f6ea7554028f545
/caffe2/operators/multi_class_accuracy_op.h
3e248dd03a2110a918d1456f5fd9b9d0207ee663
539
81781618dc6312aa5824b4603bd6079cf4cf4dd7
25e629a3171f31128fb8c647766546d3e0adad43
/test/test_masked.py
3e248dd03a2110a918d1456f5fd9b9d0207ee663
18,491
bfb224959084bd2574c13793286b66f65b8ac218
59a88203651e77d9927664ec8d02ee5b87c85905
/torch/_prims/nvfuser_prims.py
3e248dd03a2110a918d1456f5fd9b9d0207ee663
18,815
3f259c602ef7c425e292af61144fd78829a8b23d
44861830876f238a8743ace68bbc3a7ec8a73baa
/docs/1.10.0/_sources/generated/torch.Tensor.cuda.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
93
d4e315ff00539e71e059864dd47afad52f3c5a15
bd2220814316c146a848de5aac73429809bf30ec
/docs/1.1.0/_static/basic.css
3e27ebb987748e2bc9e4337792daaf08087db4a0
11,815
5743cec7a2148a6cbe0df5c48846922c7e273604
56bd7d7b9f3943685ee0bb0437313a031810bf1b
/docs/1.10.0/_modules/torch/package/package_exporter.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
164,762
636dbb8ea8f641bc3b96aae61c6e3fe68baa242f
cbc0c7654f78ef022264d37bf87ed9bf5e6cec12
/docs/1.10.1/_sources/generated/torch.Tensor.digamma_.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
107
f343bdef3bc1da41332747791aa0e866958a920a
6f1a67b98c8299248d026b910e360c36ef64bb78
/docs/1.10.1/_sources/generated/torch.Tensor.mode.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
93
2c7bd067a48d1c70ca115549b857e5440020b818
fb89107f1ccad1e077514e76a4d20d83635299be
/docs/1.10.1/_sources/cuda.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
2,180
2fc443f99c77c2d3f31226e484433c23d88fa19c
2277518634f89a5c26d86269054b3a24ba0bee79
/docs/1.10.1/cudnn_rnn_determinism.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
31,068
089b89cb8d8d0cb5c5fd1b98ae653c78440b48c7
fb08191a02459f92accd3e1d6468c0af6a05c21c
/docs/1.10.1/_sources/notes/extending.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
32,456
c0b84d647c2112e478d629479ed9069cbaf25a71
591b8a8c28a63d1810c448b01265860f8c18e1e2
/docs/1.11/generated/torch.nn.FractionalMaxPool2d.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
54,707
4007d5688962aff198112ee788a01fc206194dde
8be2c927e8009a55d548bed0650c521a941e6cf1
/docs/1.11/generated/torch.amax.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
37,940
dcfb00dcb9c205109c1ebeac02f74d613c2a9f66
6e3e439385ca8ee69f42334b1663ef25fc09074a
/docs/1.12/generated/torch.Tensor.outer.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
32,153
bb7c15e10f63dfff445ccabb82ba602f94f294be
3b86c1b3c98e1657eb6f624eee906a0238ea5449
/docs/1.12/generated/torch.Tensor.detach.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
32,795
c814d24b3cc6cda12c5a9673cf9a17a55548201d
68ff8d88486ee8794edae4f5db5f7c4e62b6a281
/docs/1.5.1/_modules/torchvision/datasets/mnist.html
3e27ebb987748e2bc9e4337792daaf08087db4a0
105,401
524f63885dfb95abc1016391488bc91897261745
2be4c36531d5d71fa8df2038f204c6ef4dabfe8f
/docs/1.6.0/_sources/generated/torch.diagonal.rst.txt
3e27ebb987748e2bc9e4337792daaf08087db4a0
83
7ae8894f63f4307a1c903ad19ff0de8763ab98b2
4aee811ed5635fab2f64ad967691f3eb14b96561
/torchvision/csrc/io/decoder/subtitle_sampler.h
3f001b6f53378b8e0f4920547e8c6b3e9506f11a
743
28bb7864a4808ac439c84afde657b0404352c141
5ad685ec746ee4b4e426b6a768e2079eb6282545
/torchvision/csrc/io/decoder/gpu/decoder.h
3f001b6f53378b8e0f4920547e8c6b3e9506f11a
2,735
a92d635b8f79239cbc0fc77930b77312ba8a4fd1
df1deb147f72ca96dbe3ca7189b9c6afec9ff083
/angular/test/testapp/src/app/static-tabs/tabs.module.ts
3f39fc021f06eb202b2d823b63c3ae9ff792a401
414
6ef86bec5e2b10fc459ecd87190f7310c83d5265
f19389e21bfefff0ea2705680d0c133730cfa228
/torch/utils/data/datapipes/__init__.py
3f3757a0c853b4ed6b7dbcdf9164f0b2f391e3bb
61
a7fc9f80246af7541a4dc1ad2e54e4bd014fc070
8903eba24e389e60fd25c4034c4304049d133954
/core/src/components/grid/test/padding/e2e.js
3f39fc021f06eb202b2d823b63c3ae9ff792a401
539
8f7deb34201d49678df458182b7058ddc1e286c3
989253a563bd2ef0bc78d77f93f772076b41aad0
/core/src/components/nav-push/nav-push.tsx
3f39fc021f06eb202b2d823b63c3ae9ff792a401
687
e90da1df8e63969832d92772821af7a538277a1a
50a557471ad45a3f0d85e1ad7a4c16d81dd11f67
/_docs/tutorial-basics-of-caffe2.md
3f3f3312292d661d2bd55c242ac913d2640010ad
17,352
70fa804a8798e14c53232056dce9df655a5e277b
8b44e73be2dbd19dbe77a812168565c0a3cde519
/core/src/css/padding.scss
3f39fc021f06eb202b2d823b63c3ae9ff792a401
2,300
7dff5ae095741837e592d7168dc28c8dec8b224e
0451aa5b3b580453ae04e0cde89fe91e5b743834
/doxygen-python/html/classoptimizer_1_1SgdOptimizer-members.html
3f3f3312292d661d2bd55c242ac913d2640010ad
11,104
bd52b88ea5a5e6eb2cb4d342fe01e91e669e10e2
a7107f2067deff8566eca1c355e2d4878fa56995
/.github/actions/download-build-artifacts/action.yml
3f3f80e3c95321d9e8594d32b22d744aa121b787
852
ac40b6c158022e67bd9c4386f66bb951e3ced6ad
922ea8a38f50d02749a336f7ef8211b2da502066
/aten/src/ATen/core/QuantizerBase.h
3f3f80e3c95321d9e8594d32b22d744aa121b787
2,605
cd02485c90fb0ed6c9b115ba0b30c554c95c408c
111c7eb8f5fc7cd20a3eb812450324788608c011
/aten/src/ATen/InferSize.h
3f3f80e3c95321d9e8594d32b22d744aa121b787
2,613
5b8aec01e7ca810225883e5a9d4da8fb21c50f03
4fb40a17d026791ed6994e1b60df139ea351d3b6
/aten/src/ATen/native/NNPACK.cpp
3f3f80e3c95321d9e8594d32b22d744aa121b787
9,610
4b93014746075627326e2ae76a3ccf4913a2a3f6
0178b24c75fe5df986c28ab94f837df3e0e6245d
/aten/src/ATen/native/metal/mpscnn/tests/MetalOpTestRunner.h
3f3f80e3c95321d9e8594d32b22d744aa121b787
293
d170aca2d385ac8bd6b1c0780869bace88113df1
01b58fd601e6e99be60ec58a603f7135edccef9c
/caffe2/operators/heatmap_max_keypoint_op.h
3f3f80e3c95321d9e8594d32b22d744aa121b787
939
1bdbb4dedeb171ec0c3f388be2705780601894b9
4442deeeaa56ba092affd30aadac4a4f9be68f92
/caffe2/mobile/contrib/ulp2/ulp.cc
3f3f80e3c95321d9e8594d32b22d744aa121b787
13,865
24666da32c0f3c002db69ea2f84b6d18480db35c
3b3b89695412d9a6ba0a9d315d519701c1dd7790
/docs/1.9.1/generated/torch.addcdiv.html
3f6fef4213b5fa0dc36df6ffb42693211e8973ba
41,471
085e3b035c0e83f3cba2d7616f8ae4abe5cbe28c
671cfe93e27af4a39c541c62e4888e54196df76e
/docs/stable/_sources/generated/torch.Tensor.scatter.rst.txt
3f6fef4213b5fa0dc36df6ffb42693211e8973ba
102
448fe1f51c54ae85bd41259b9fe75107c08907dc
a3bff162f73cc40f06c1f55657c0397dabdff662
/docs/stable/_sources/generated/torch.Tensor.renorm_.rst.txt
3f6fef4213b5fa0dc36df6ffb42693211e8973ba
104
f8a120da9588faa51f15cdc06bf637df8e028f8d
122289daf6eedc05ba4d4a61cafa517eaac3dc11
/src/test/utils.rs
3f74bc8560e2cb37f1247f057e024564ccd33ce9
6,561
09322b5caefa335f80922dbc3cc98801c62bec65
5c4c4493e4a8e5386b927e4f4554df925955d129
/.github/ISSUE_TEMPLATE.md
3f788926c1439f9dea8d6369e23518419546bdb9
250
efe1f2da4d70e991b330f8217eff65f02d41dc94
c29a0a7ef46bbc20f89ceaea383c25531e0bc3dc
/torch/nn/parallel/distributed.py
3f8067bf862cf51275b589a92cca3bff9aabb4bb
82,798
4582347ac55cf5bccbdd637477fa19b492788cad
162f22f1abd30baa8a565944ecd390f5503606b4
/torchvision/prototype/datasets/_builtin/pcam.py
3f8456d007f13d92307a2038a29e2b2b6ba277b9
4,686
36d9fa9895ea81bb0afb2f4e976813d4b359a1b1
0a506779f01cb18601b950d9cb2c7f9b0e812315
/datasets/wikitext/dataset_infos.json
3f83e2d3bb77c112106b60e4c5948b239408b8cc
6,838
e437a7213bae7df35309e4e0bec145997c30fe32
e81cf9209c889d1eb4bcf1deb334492bbe74b5eb
/examples/research_projects/movement-pruning/masked_run_glue.py
3faa5fcbb6341e25800bbac3ddbdc244f893f5ab
40,733
0f98ef140f376ef4c8f6e469bc52c802d8dc4876
fc5dc58941f7bafd96d0545a272c6f1ee0b3ac44
/examples/research_projects/distillation/distiller.py
3faa5fcbb6341e25800bbac3ddbdc244f893f5ab
26,196
9b381a5d2ee8c5f62bbc6f334f7f24deabccc12b
3706a40091c2ca88800f3ba1483f185cc88ac976
/docs/source/en/perplexity.mdx
3faa5fcbb6341e25800bbac3ddbdc244f893f5ab
7,665
13e1101f7c8fb13c0bd26e3025b9e0cc1cb5b1fa
4ccf30f4eb154f8fab1e285934fb973a2d1166cb
/examples/pointer_generator/pointer_generator_src/transformer_pg.py
3fac000adc313a3dc319469ca98d5006927e4001
23,439
6f7579ebb8ae8931bcee0b88f595a08f2bf5b4b7
a0822d79a65ca6cba0c66cede21a05d24a2de047
/pytorch_translate/research/multisource/multisource_decode.py
3fac57833130815543fa1dfc6bd88a0f8e5e66f8
25,377
ad4acb3f8c963a45d814f2be6f0b77e8e3832627
b935c650699c9b1bb680d88e9d9da768828e55dd
/fine-tune-wav2vec2-english.md
3fafa47d86f5006796710f975fb09e014415e449
42,609
baa41ee963ccd0dc525cd264732ab6b33ae38bbf
3affd71d9d3bee1b22dbce04f2803410150671d0
/docs/1.1.0/_sources/checkpoint.rst.txt
3fb0175e2914bd8f7fd3252d9905e6099e61a5a1
1,532
07a4fb7115375a41585d8c1b2eb09ad2a69fc5b6
b9778b4f80812cb30a46a5a38318ba2cca0a5e5a
/docs/1.3.0/_modules/torch/nn/utils/weight_norm.html
3fb0175e2914bd8f7fd3252d9905e6099e61a5a1
36,336
0ca6f6e31a080613dc3e1b4aebbd97864b9b0163
7d9a20f3b0b395ffd31a2e8445d94aedb6036a6e
/src/transformers/models/t5/convert_t5_original_tf_checkpoint_to_pytorch.py
3fbed12812c76980e5c0d2154dd13831a3a4b535
2,120
5a6d8c5cd87eda37898741ee10f4596c94696b99
48f7735b6ce0b486c6ae2adb10b0f4a23d76f429
/src/transformers/pipelines/feature_extraction.py
3fbed12812c76980e5c0d2154dd13831a3a4b535
4,203
750a1f57c10b111d0aa603e75e14d4e179874026
f0d999e83c1a2d7da8514ca2ad738c57d646df40
/torch/csrc/jit/frontend/edit_distance.h
3fc53da3d9a835c15c5891a0fa3c6ce4d12288b3
254
3f0d20e6963df22d85b4e35287735074eeeadd41
c00d02c8a40dd0c01c8e1713e98169686f28ca3c
/torch/csrc/jit/codegen/cuda/test/test_gpu_tensorcore.cpp
3fc53da3d9a835c15c5891a0fa3c6ce4d12288b3
92,247
f97c66ca70f517f82bf3355561ac74383bed25bd
e367596aea536eae2db00bfdc7b8daf47466e7e3
/blog/openmined-and-pytorch-launch-fellowship-funding-for-privacy-preserving-ml/index.html
3fc8a3265b5a1b4ebd39a92c6543432fbbfee7cd
28,337
2b9c5a95983d101a6c27305a5f80b34075fd8409
1037ab2ffc18ec0a81d098d2159e922b1de1afe1
/docs/0.3.0/_modules/torch/optim/adamax.html
3fc8a3265b5a1b4ebd39a92c6543432fbbfee7cd
64,889
f4b4ecc1ccc2b33366e83a963080275050f1e6f4
71c4e8724e2ac2981c28a8361a88036bf7175f15
/docs/0.2.0/legacy.html
3fc8a3265b5a1b4ebd39a92c6543432fbbfee7cd
46,978
08b13541928ddd8cea94d209841021bc7ffbee25
b0d67f426dc5d1cb414f0b8abe5ba8ed55bf4f87
/docs/1.9.1/generated/torch.Tensor.erfinv.html
3fc8a3265b5a1b4ebd39a92c6543432fbbfee7cd
31,798
7f63e418af376d0476b29d7c7f922019a7744629
b00c0ecc1bace553f249c907ce99f9c752ec5477
/docs/1.9.1/generated/torch.lt.html
3fc8a3265b5a1b4ebd39a92c6543432fbbfee7cd
34,914