blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
e186c7c6104fddf1d66a0a79c16d3a5371c1055a
2ab0fb5f91de8c19817754cae6d038a9df64ca7c
/docs/1.9.0/generated/torch.Tensor.angle.html
9d6dced1e6e61881eb08ec6365e524b93c88c476
31,775
b91611330bd280e9d943e2ce696fb2a768c700d5
f8f2cef9a19476211d11ae9303d47ff1c06a63d1
/docs/stable/generated/torch.broadcast_to.html
9d6dced1e6e61881eb08ec6365e524b93c88c476
38,456
197c0195d3a2504b03a030aab10e01e959a4db74
19e3437b238abcfb2efdc7d881ac245daf1f0377
/docs/stable/elastic/agent.html
9d6dced1e6e61881eb08ec6365e524b93c88c476
91,963
825dbd7cf9bca27520fb1b222fe53a2db070069e
87cf44283c0be17fbfb25b6eb0395a23ad0ac87f
/aten/src/ATen/cpu/vec/vec512/vec512_qint.h
9d7400325a060463457ca6d9715eab6fc320466d
43,094
2d957fee33e22c0f325b39a0bb1b172c3f932c80
dd2e2a5b796774fc40ad559bcd8c396619d81d71
/.github/workflows/lint.yml
9d7400325a060463457ca6d9715eab6fc320466d
11,824
5c07f15d8f0994543b2881e821794127c5dbc6b8
b61794487a4122751914a5fbf65d7d1ccf113e96
/aten/src/ATen/native/miopen/RNN_miopen.cpp
9d7400325a060463457ca6d9715eab6fc320466d
37,604
6595df0eeff236e397f3139d4b13edc9e8412207
b1df48b5c89c4b6da9ea1bc9fe5e3eec8a17129b
/aten/src/ATen/native/metal/ops/MetalCopy.mm
9d7400325a060463457ca6d9715eab6fc320466d
1,956
38b7e788f43131483ab368fb6900657f48be6333
98376e3d2cdb17b62b5b92e9d8c53ceaecd1ccc8
/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c
9d7400325a060463457ca6d9715eab6fc320466d
18,076
be4fc381409a74be374c478475906bdee5cf43e7
871f700ef4fb1936a0c8ba024820e390923d2399
/aten/src/ATen/native/quantized/cpu/UpSampleNearest3d.cpp
9d7400325a060463457ca6d9715eab6fc320466d
9,496
a9381ad9eb53d5fe3b77a8086de8ecb833f025f4
f7e9e5b46b908b53a608a6a4a3a258d3534c297c
/caffe2/core/nomnigraph/include/nomnigraph/Generated/OpClasses.h
9d7400325a060463457ca6d9715eab6fc320466d
14,210
75bdf6c3a5fa4789604ed658fc89349c5fed84fc
1f7fcf363f396f41f03ed738e8fc5591ddd67bd9
/c10/util/Metaprogramming.h
9d7400325a060463457ca6d9715eab6fc320466d
15,296
671f171b8905a5f2b5ee2407c88a2375c56a635b
b515157c266d1e9fbd22fe8067cc2246cbd615ea
/caffe2/operators/apmeter_op.cc
9d7400325a060463457ca6d9715eab6fc320466d
3,747
d57e70fea78fed1d516975975d0aaa1e1384b637
31dcfefaea8d8f8dfd2943a5d6d3130700630444
/torch/csrc/Generator.cpp
9d82de334ea6661abdb92ac170da2da1d1356be3
8,800
29b3734be020203f84a45af39c840955e618397c
665e8d81532e873824a52d41a979f5de6a405ca6
/torch/csrc/jit/codegen/cuda/kernel_ir_dispatch.cpp
9d82de334ea6661abdb92ac170da2da1d1356be3
7,298
d0d5c3917e0d9a74b160dda4b41498779a464b04
2db12f7d1937489e519d6a71c1c9af9a0efd45be
/torch/csrc/jit/mobile/frame.h
9d82de334ea6661abdb92ac170da2da1d1356be3
872
5293d9e8eb83c3009a704728d170830aed0fb552
879c03e72d892a3f1da936cc285473af013f9bdb
/test/experimental/test_vocab.py
9d8f94e37470539946c701f3d7bc27818c076e71
9,212
c9ff13c6711da4f9e629190bc26c59491c8cf2d5
6faf0c5a894862e3c476100921a3051a5beef30d
/examples/references/segmentation/pascal_voc2012/dataflow.py
9d8ac33b0bd773ad81aee027b3f284d2fac6d258
7,008
2477bcda8a3f3c92e88ebcfa388133749b909038
59f63d169593ce99c9d3e6c7024d7da1d191cd00
/python/ubenchmarks/__init__.py
9d8c63cedb295c695d7c80d1f49262e7fc80374b
43
ed77332baa028960ef889236d4341e14e6457097
edd6f8250ad67d8aa4f715f8f3ea8496077d9b3d
/doxygen-c/html/classcaffe2_1_1cudnnTypeWrapper.html
9d97750866bdc207b9a8fdd69c702f7f0e83c3e3
9,876
20f7fd8bdf427de33261eedbd2ef281cdee09dda
1108e9caff64c6ddf89d1ea8acb657c4d0100f67
/doxygen-c/html/classcaffe2_1_1LRNGradientOp.html
9d97750866bdc207b9a8fdd69c702f7f0e83c3e3
54,323
47addfd9ec8ef1c6f74cf2904d461058b8a1a09d
eb79e6cdd1704a761c1bc669f3836425c793a4df
/docs/master/_sources/generated/torch.nn.functional.smooth_l1_loss.rst.txt
9da4b897aa02d86735b3335dae4856070292382a
150
d5982b34ee58415b4c52ee321009810cbf0c4de5
a14a444953eeb3bc5a9d243172bd0c977de6ec4b
/docs/master/_sources/generated/torch.nn.functional.linear.rst.txt
9da4b897aa02d86735b3335dae4856070292382a
122
53f8bda4b156ea57ebb9698d918a99666dad8cd1
b56608815047a3b6167ec7ae5af7a1a66432b6b7
/docs/master/_sources/generated/torch.multiply.rst.txt
9da4b897aa02d86735b3335dae4856070292382a
86
c27105c0ea939b610c45e7eec12e78ed274bd4a7
ed1296a25cdc35381703abba196860b7d1cfb4f2
/docs/master/generated/torch.Tensor.solve.html
9da4b897aa02d86735b3335dae4856070292382a
32,174
7e8944e5303048b9a573d2cebf3df8ca236ebf2e
33cc1976a24390483ec85273a3f5ed2255bef909
/docs/master/generated/torch.narrow.html
9da4b897aa02d86735b3335dae4856070292382a
35,268
2516079f3bbc181ebd90872d39cd47f40a1cbe92
6c074b88a96b982ba8b5312d17a9685a8d563189
/docs/stable/_sources/generated/torch.can_cast.rst.txt
9da4b897aa02d86735b3335dae4856070292382a
85
9cc98d1bf0d492773f2f5d5aacb1c4cf3da53884
382fe2305216dcaed3c5bf737f84eb1c08b1c193
/docs/stable/_modules/torch/distributions/exp_family.html
9da4b897aa02d86735b3335dae4856070292382a
37,006
70722308e85875c763a857828b835a2d107299d1
f1189b76f8f4d83218ce17ccb375b3662f517c0c
/docs/stable/generated/torch.less_equal.html
9da4b897aa02d86735b3335dae4856070292382a
31,759
754c13c456c47485effc964bb2332c7f8055c5c3
bdd1634d818b72871b0ac8893e2ebf29c43fd5ef
/docs/stable/_static/katex-math.css
9da4b897aa02d86735b3335dae4856070292382a
1,132
ce7550584874e94fc5ca3423ccdbc37bee47ae2e
5f5a63299919aee905269749332f369d25bf03d1
/docs/stable/generated/torch.nn.functional.group_norm.html
9da4b897aa02d86735b3335dae4856070292382a
32,403
9fe8adebeddb7b9d8009387c45b2b6d202015587
6472832feb17d1138baad7307384ae9217a23c10
/javadoc/1.9.0/org/pytorch/LiteModuleLoader.html
9da4b897aa02d86735b3335dae4856070292382a
11,564
d431cfd33c75768dc3866ee233d9edb1621be272
51a277020161bde336c5acf6c2646c66e8d2168c
/ecosystem/poutyne/index.html
9da4b897aa02d86735b3335dae4856070292382a
31,542
3d68fc2dad9349d8acc0f7cc8da942a1e13a6c83
eb61a0e624e257089f9b35b4044d0bba306de63d
/docs/1.6.0/_sources/mobile_optimizer.rst.txt
9da9b81ce8142cc57a3b227336e894f6c3f280fa
2,838
046b741821dc50d48679eb5f7bac5bb469a4d2b7
80492d2e8e193007d0231ca404a2991c817360ca
/docs/1.5.1/torchvision/ops.html
9da9b81ce8142cc57a3b227336e894f6c3f280fa
36,152
193281e2f42967bffb3b414be8dc9912970dfe88
f7995ad7b5bda9a4bd43b90d552a2ab6ea17b445
/docs/1.9.0/generated/torch.ceil.html
9da9b81ce8142cc57a3b227336e894f6c3f280fa
35,309
b4b7b8884d8e28ff4ac24794f75f86e7a48e0460
bed08f4288bf6d604a9ec5d79a2fe8750862defa
/docs/1.9.0/generated/torch.Tensor.q_scale.html
9da9b81ce8142cc57a3b227336e894f6c3f280fa
31,727
50c95af61c01774cee20af208f1f5c5aa12a846e
09acee1b3d19879fc32059e81eefe412244d87a5
/docs/1.6.0/_sources/generated/torch.cosh.rst.txt
9ddbd233abee7568b4211c8540504e2837ac338a
71
30e56fba60ee204910b1fd942f7505ec872d2808
27ad1013008b225f3895523ea1adc3b826819278
/docs/1.6.0/generated/torch.nn.ReplicationPad2d.html
9ddbd233abee7568b4211c8540504e2837ac338a
44,158
55ab738601048661be11d3b0c1fda8c26bb61bc5
bd8bf89435cd38e46e79bb1f5c56a8887eaab1bc
/docs/1.6.0/generated/torch.var.html
9ddbd233abee7568b4211c8540504e2837ac338a
32,752
5d5537a7cdb5b05881bd1c5734768d78968ad93a
2c0317160229b5cee3e4329c0646ba4952ce7685
/docs/1.7.0/generated/torch.logcumsumexp.html
9ddbd233abee7568b4211c8540504e2837ac338a
34,114
08525a3f7b77b58d1c3b3c068beacaf9f815477b
dc623383965225d00d64728494f2180fb9d4f28d
/docs/1.7.0/_modules/torch/distributions/studentT.html
9ddbd233abee7568b4211c8540504e2837ac338a
46,150
b3f49c4660d7bddb743cc256bd20afc55b2f43c1
e2182c14625dee3755577303ebf6c85c5a0d2e78
/docs/1.7.0/_sources/generated/torch.nn.Softshrink.rst.txt
9ddbd233abee7568b4211c8540504e2837ac338a
242
66a20c5177e2f091f82d1f658a70cfeda2bff27d
5b03d88c217e54efa70243afde0b9c21021aaa64
/core/src/components/range/range-interface.ts
9de5a546cfc68ffb070d7ed75c5463fd56ef1af7
199
620fc829fef1da1f0812287fd5f994c493e25d8e
bde4144e1d765bb6c1aae02cca80184aee8b59da
/core/src/components/reorder/readme.md
9de5a546cfc68ffb070d7ed75c5463fd56ef1af7
314
e46ae5eaa6fee3fe395bc4a04da8d73775f6f411
7ec760b96da85844265c08f009b4789df07673fc
/benchmarks/operator_benchmark/benchmark_all_test.py
9e007e42df7afb0e166841ac5cc1d1f48ab648e7
248
db3f82d6b146a37f6f6600217a3ec64d92a83951
593905d1567218f817f030e4b699ce7457edfc45
/c10/cuda/impl/CUDATest.h
9e007e42df7afb0e166841ac5cc1d1f48ab648e7
175
50359709274d60703445196b594edaf06198025d
a933f06024aa27a42f1d7333c1d90f10f029d6ca
/torch/masked/_ops.py
9e79d7f1616c74bfdf7c1e659f1d32ca17b82357
62,887
b2134fb0fe606dc1d1d84ae29ae588ffe00c8030
3b87c9458a55998da65af33cac391da0950a7b03
/torch/csrc/jit/tensorexpr/external_functions.cpp
9e79d7f1616c74bfdf7c1e659f1d32ca17b82357
51,419
7b860a719f8df4632f6df6601239a0f97419ac4b
75db45e852814c35e9921a568b75a56d4973ee0f
/torch/nn/parallel/parallel_apply.pyi
9e79d7f1616c74bfdf7c1e659f1d32ca17b82357
293
a81b6cb33aa2b6391d34211afc93f32a880bd067
4b39e528863262b8219b60f75b7b58a77dadfd4c
/torch/csrc/jit/passes/onnx/eval_peephole.cpp
9e79d7f1616c74bfdf7c1e659f1d32ca17b82357
5,201
f69665d32f0fbefd8ac5b3e55e92783d6adab0e1
8e3f5c7ae0afb810cbae7d77280d4eb162fea6a4
/datasets/cnn_dailymail/cnn_dailymail.py
9e79f362306e713a4b49c8829e52ed1241e03d6b
8,897
17578a7c5cb04a7fedabc4e11552a6e41a467a4c
88a3b82300ad9982b7930f2468ad48d89eed9d60
/datasets/fquad/dummy/0.1.0/dummy_data-zip-extracted/dummy_data/valid/valid.json
9e79f362306e713a4b49c8829e52ed1241e03d6b
2,235
1ea534123ec0e9e8c0eaf53459782aa5ca565209
0b6e897c1248dc405d459e6e2b1e8ea3083ca7d1
/datasets/ade_corpus_v2/dataset_infos.json
9e7a4d2121f73912602560ed6b9acd55d607dcc6
11,884
d83fcf5b7ee9e9a94cc01d36460325963909c504
dc2c12d99924a7c794f601b5b14a7065b08f4714
/datasets/imppres/dataset_infos.json
9e7a4d2121f73912602560ed6b9acd55d607dcc6
61,647
a5b6811d6f77a1413da9df034c0267c8a197d17d
b88f22d982be78d224e498d6609ce691270605a0
/tests/models/cvt/test_modeling_cvt.py
9ea84225bf78ab1204fbc27fbe11e71b6a1de4a6
10,506
63c953fdfe20380c72fb42c47b55804b7ec8c813
4180eb565cf598d0892843d07af2951296927266
/tests/models/marian/test_modeling_flax_marian.py
9ea84225bf78ab1204fbc27fbe11e71b6a1de4a6
18,411
e20d1892c5eab46152397e92b0577b05d73be34d
d9399ca81b9cb4710cba28fbb541e02bf8f08223
/docs/1.12/generated/torch.autograd.backward.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
39,335
a19a0a11d8653b11e00a1b0402bf3db202ee30c3
52a66d3862f362d041a4188ac1efb687d114d850
/docs/1.12/generated/torch.Tensor.cos_.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
32,063
31421762bdafd97e9253c6a6af50e767237d4e36
1f413005fc0328da3ed26cce965b628d980e8c15
/docs/1.13/pipeline.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
74,435
273b54b4df8585fb08bc5bd16c93bd85cb919d07
968fbf4d208380bd7bd81ff17619535b541eb6d9
/docs/1.13/generated/torch.quantization.fake_quantize.FusedMovingAvgObsFakeQuantize.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
38,028
af6f046adaab7e1501adee034fb7c366b8c059fc
1e7159877d80efa0a7fcff2d7a8b3486e82495d7
/docs/1.5.0/_static/js/vendor/popper.min.js
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
20,536
0b16f35a6c8aef89c03d7aa8b22a86d072e2e86a
ceb6c2d5180398a0d9091cb127263b5152ca80eb
/docs/1.5.1/torchvision/index.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
33,734
bf56df6926a88ee1cde2f30488c95ba35fdb4a61
6d1d903c224bbe8e5920ed03561ef6979cfa419e
/docs/1.7.0/generated/torch.logdet.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
30,753
99e6ef229c61d43319bef94bee41a1947f377a8c
0703aadafa5b45a9e8a9ab4c73fa7e560b2a313d
/docs/1.7.0/_sources/generated/torch.nn.LogSoftmax.rst.txt
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
242
ce9af8252183f5235a27da1e86e073971c902ae8
328cf5ff0ac5e9765d322387c275369ebc27d459
/docs/1.7.1/_sources/index.rst.txt
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
2,905
90c8ab34984ff034100a7550e6d512e9ba8ae43a
d65bc0002f573c381a66ac049f2ad19bccb25e16
/docs/1.7.1/_modules/torch/cuda/random.html
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
49,452
eac06fbb5169e9759695adb9972c3cb22bc44775
50db85068aae797d59e52d3e20c7175da54d7eec
/docs/1.9.0/_sources/generated/torch.linalg.qr.rst.txt
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
86
86a5d5c1ce7c351f7944c999eefe563e042f7a45
01c0582efdff45a520e8e5eb134d74d2ca8f94c9
/docs/1.9.0/_sources/generated/torch.Tensor.std.rst.txt
9f52b0c7a3273caf3baf53dcbf7dd5ce59d1d84f
87
474ddb41b0a7def697118db40c4a283b2184f695
8a2475076278dd7bd3370c73213802581add581d
/torchbenchmark/models/maskrcnn_benchmark/configs/quick_schedules/rpn_R_50_C4_quick.yaml
9f5d4a5cea219cc715934f15822ffe528f3abf3c
478
1afc22f94db5a3cd0feeac3118010b61e4cd77f0
e3bb03b5647ed46994d5af14234ebec6b0a4ac7c
/legacy/timing/cpp/misc/benchmark_common.h
9f5d4a5cea219cc715934f15822ffe528f3abf3c
6,881
2223a4d2d54ac46023859e5d82cfedd718a6a850
cf0ff8beb4e15b6445a37a1dc2bbce3bf1841605
/tokenizers/src/tokenizer/pre_tokenizer.rs
9f8f8e85a4bc1b6ab9b15e05a47fdd3af1a11740
10,128
68bb87413d891c1b5004ed26a0427e65be49e261
c01ccf76f5371dac13ea02333a890da70a1f2324
/third_party/xla_client/multi_wait.h
9f8dc297f0ed85b4be08d39d8d80952e9a0cb515
1,208
9bf30434ccd6590c9712c853d4457b37be787db4
46e893e564d906d83f5d9dd9db7945e85797b2b0
/aten/src/ATen/native/cuda/fused_adam_amsgrad_impl.cuh
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
589
668ab6ca3cb9dd53df532e8cb11fe8cfbefdf2a2
9f8b065576df945e2c19a153175407930f27ad33
/aten/src/ATen/native/quantized/cpu/UpSampleNearest2d.cpp
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
8,206
9b931637ed1debced0654d7af5164a2cf0fd675e
fa8df64f20df2345061800942f1db94290075746
/test/package/package_a/std_sys_module_hacks.py
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
304
811909915686dd1f8fd6b96ce0b9a00edab96de9
81df055f55b7c80f0b3b308a9324d0079f5e5c27
/test/jit/test_profiler.py
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
10,168
80a96f8b080a7d8cb6e2447d9a90c593cca27fe7
be8aed6c5ce44fe61ca60b917db2652a373e0507
/torch/csrc/jit/codegen/cuda/README.md
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
14,274
9023abb1df83378c369c7d9b19fc000e99a4c9d5
8f8298443341d6046650ca68ad5e45b2b24531c1
/torch/csrc/jit/codegen/cuda/mutator.cpp
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
15,704
55b5bf60277c3019f2b370beb2fc24cb1bd17a23
255a16af6bb0dca9fa37c9b0749e648afe4ba297
/torch/csrc/distributed/rpc/profiler/remote_profiler_manager.cpp
9fb7b9ca5df742d0bfaed380d228c25fa1b5fef3
3,121
9feb8b115656d0e4baac8734ecd004f5c14fa510
c56d0bc28fe99afab8036cd2a4bba97d310c65c2
/test/cpp/jit/test_schema_matching.cpp
9fd8f470e3c4abf3d23bef57fca2cf1e9bd0ead9
2,319
2ec86fc4cfeaa183d2a78d62fce40d9b59a07e4f
dae3be15297022f06e7b382ce7ca40a11e7099fc
/test/distributed/test_nccl.py
9fd8f470e3c4abf3d23bef57fca2cf1e9bd0ead9
7,666
577cce680384b9e99060504b802c50f11b79e1ed
9e3ff2046c0f6e120b26d1c88b428089b6d2edc5
/torch/csrc/jit/codegen/cuda/parallel_type_bitmap.cpp
9fd8f470e3c4abf3d23bef57fca2cf1e9bd0ead9
670
8e7c300e504fac07fc69d97c1130bfd4ebde48df
694fe1df82c10a4227fd585282f2dd78af6c8ce8
/torch/csrc/jit/mobile/observer.h
9fd8f470e3c4abf3d23bef57fca2cf1e9bd0ead9
3,637
2d80c5ef1ac9fc9d628fa598f2ee319fdc700750
deda705d08878cc5088ee543627f8bcc9b341350
/aten/src/ATen/native/Blas.cpp
9ff7e4c74a833b203d857b04da4f7962c1467c82
8,220
748c74940399443e897e0280168e53dac38baa67
4f2b092573e3fadebdd2b8606659278ce7f44204
/aten/src/ATen/native/cuda/CUDAScalar.cu
9ff7e4c74a833b203d857b04da4f7962c1467c82
783
54a66990f95eaa73a859ea983d0c6a7c42d3995e
59a786f127ce57516612c358b5a42e1d20da9ec6
/benchmarks/dynamo/microbenchmarks/operator_inp_logs/torchbench_train/hf_Bert_training.txt
9ff7e4c74a833b203d857b04da4f7962c1467c82
4,237
b525877cead3652a1034d223db47975f91499ca5
4c7c9d5bdd53c8a90a94dc63c9c8e51fc56e1df5
/benchmarks/functional_autograd_benchmark/vision_models.py
9ff7e4c74a833b203d857b04da4f7962c1467c82
3,965
990e53c4abcfc508d5eecf284326b215298c840f
736ea285e5c15a20dd06b64404f6441e622959ea
/docs/1.6.0/_modules/torch/distributed.html
9fffb22d369bbf06adb66775547a8f1ebe532e85
28,236
0fd2eb36cf91be56c9f6346ed2d44d29869ed070
ed100fd5a85d0f1ea15392c7fbf237e8d9ada71a
/docs/1.5.1/jit_python_reference.html
9fffb22d369bbf06adb66775547a8f1ebe532e85
61,160
b017597d4772cd369f58978a5fc74e8ba0f3dbf6
7fb6e1f4d2bd8334bc6114d3aa3f168cb9c1d714
/docs/1.9.0/_sources/generated/torch.bartlett_window.rst.txt
9fffb22d369bbf06adb66775547a8f1ebe532e85
106
cc703a835a77944825fce14d5f51b02cfb205eb3
d21016de077ad967a409c2c01374a8e534681707
/docs/1.9.0/_sources/generated/torch.nn.GELU.rst.txt
9fffb22d369bbf06adb66775547a8f1ebe532e85
224
d430deff26bd78814bb3304aea4d02642e0426ab
e6303b61500f6336bc57c9c1ce67c39fd7a85baa
/docs/1.10.1/generated/torch.lstsq.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
58,683
7183f40b664a8120f030f11766d25bd6fdd293b0
82925138934537ec394a1262589fba07783f237f
/docs/1.10/_sources/futures.rst.txt
a00b1683fdf46ff0bdb67bae3f099d3718302656
529
dae59061da097b2d59064fdc2cc152ed5e4949f5
7ce326702d422b043af840e7d75a9315ab85983a
/docs/1.10/_modules/torch/distributed/rpc.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
57,358
a980573ebae24f69aae8452b035e891f039f03e9
fd777757179f7ff0f263c38cc1d3acfdc46ccc65
/docs/1.11/_modules/torch/nn/quantized/modules/batchnorm.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
47,083
23458c9b9fe585ca28b24ffc38b62d300ed2fd70
ca4b46145224b2595fbfb34a9fbce74728ae84d8
/docs/1.10/generated/torch.nn.utils.prune.remove.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
34,661
530f5f325e76bb59d1ecd5f1cbe532b839251358
3b75586e0aa5bb3f819226fa9d53acf693f3e8f5
/docs/1.7.1/_sources/generated/torch.histc.rst.txt
a00b1683fdf46ff0bdb67bae3f099d3718302656
74
f3a7eb10b59f0586caf87fb6ced4c237dafdf182
a77d96e587b04cd596e3c13f55afd45ef26cdd6c
/docs/1.8.0/_sources/generated/torch.nn.utils.prune.identity.rst.txt
a00b1683fdf46ff0bdb67bae3f099d3718302656
128
133f6ba86ec94a5625768e984005c4075e10676c
a0beb80e1ef6dfcb60bce3e03c975c48b1386f31
/docs/1.8.0/generated/torch.nn.MSELoss.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
54,554
0479a1aacccd46e8695fd7e0189a5f2963c68542
2c66947ed9794d2208e01e7e89d7169f2a8f6805
/docs/master/generated/torch.Tensor.lcm_.html
a00b1683fdf46ff0bdb67bae3f099d3718302656
33,650