blob_id
stringlengths
40
40
content_id
stringlengths
40
40
path
stringlengths
7
193
directory_id
stringlengths
40
40
length
int64
1
9.54M
61398a03eb6ec025841926dcfc935da9c308a464
af3b4d9372d41aad7b1f28956e3ba214abefd16c
/torch/csrc/jit/codegen/cuda/executor_utils.h
207da97f81fb114fb26cdf039d63ca2a6b00acdd
10,683
638bfdef8f31def20bbfcaf373caa2200303a7f8
0ec1779702f923818e14628d57c6383854a541aa
/torch/csrc/distributed/rpc/script_remote_call.h
207da97f81fb114fb26cdf039d63ca2a6b00acdd
1,653
56ca2b5d73f8e4b7d698a61e86f5f4c34ae17905
dc5973c0ecd6a255c621bc9950942c2d0a406d68
/torch/csrc/jit/codegen/cuda/transform_rfactor.cpp
207da97f81fb114fb26cdf039d63ca2a6b00acdd
18,839
9122aba40b2f7de8b9ac540367a75d6113ddb501
ee846c9b82e342368149226e36dbd15838c0bb05
/aten/src/ATen/ExpandUtils.cpp
20815d180d060733ff7ddde2801e1319c740f29e
7,426
b8fb9fc8415e0c0ecf2c80f7d44e41e4a6483a1d
0262c078ca98121a2599103412b4c50841e6955a
/torch/utils/data/_utils/fetch.py
207da97f81fb114fb26cdf039d63ca2a6b00acdd
2,179
1fc8f36520f3513849bf375ffdfb9d59f21eb1ab
83b8a049b8721566e32a75982c6982c1489607d3
/caffe2/core/context_gpu.cu
20815d180d060733ff7ddde2801e1319c740f29e
24,373
1d313d62761db3a8b9bcbc7926a7154d7093c625
b0b0b4ab24755bcf6e9c04f12f508abe416f115e
/c10/util/MathConstants.h
20815d180d060733ff7ddde2801e1319c740f29e
3,472
06edc396e0af3190cedc9bc94848a6b3d7f0e7ff
feaad09438a805839c2dc4623ae189b03867ab73
/aten/src/ATen/TensorOperators.h
2088d3954092e523570d12a15679577d56f8a119
2,594
c4b243fc78b7b318f765a558172f5e7fd15f05d3
437a69cae9bcfd9c84e94290834b56c0bb6bf393
/aten/src/ATen/native/quantized/cpu/qnnpack/src/conv-prepack.cc
2088d3954092e523570d12a15679577d56f8a119
9,758
8c6f3f609f35077342c4f9b879b5f784c838964c
f09672203805fb9ee73acad4655998c23ea49cb7
/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8zip/x2-sse2.c
2088d3954092e523570d12a15679577d56f8a119
1,594
6d5e0d4d6835569e48ba14b2a5aabf158e7923d2
77bd3ccff59d47f815ac215b7b2f8f08f3521a7c
/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py
2088d3954092e523570d12a15679577d56f8a119
782
883b5d4b7d36b67dfc3c55a2f6036b27e351b87f
a1257b404b7346c6a96c4de3adb45c6e63564fac
/torch/nn/quantizable/modules/__init__.py
2088d3954092e523570d12a15679577d56f8a119
253
3bb38264ce92f6bdd6bea8b3b04da9be549b0840
e0193416ed2f572b476e3fabfa8668c7c4b651dd
/torch/masked/__init__.py
2088d3954092e523570d12a15679577d56f8a119
627
7b95ed61b5828bcb414fe0dfe5c34076bdaa9dbc
82bb8ec00eeb62d1993718435a6f4576746f7c6f
/src/FbgemmI8Depthwise2DAvx2-inl.h
208aa397a3bb5178e511fd801c24d723205d7a32
16,919
a59f142f6038264842af7aeb10a8b9463a783f07
7d65123ca6c6a7caca7cc119ab09f4b6b11e5179
/caffe2/operators/length_split_op.h
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
2,304
f48c4a5e41cf6035929fea5658158a81c546f616
ee8eee78d18ba9075310eb6a2f6f0d5ad0044152
/caffe2/operators/numpy_tile_op.cc
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
503
1e895e00e6be5813eccd1ae56de1878e48c05f59
9c4d1c1467fbe0bbb8b4e8bb395a97a1a8f74780
/test/cpp/lazy/test_backend_device.cpp
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
4,070
c77cff19f60ea28a074842c74e5a513d73750714
c5e123bf374c1f9494818cf031de7a4994b19fb8
/test/mobile/nnc/aot_test_model.py
208d1c25dfd681e84a914ba6c31b2c6344df2cf2
299
7eb2ed2556f73933ea65ee1a1e7feec5d300e06e
fb44ad6cf1fad940ca97b6c56c162018722c1bd4
/docs/1.6.0/_sources/generated/torch.nn.PixelShuffle.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
248
5fcfa0f299e02c6c9c4c84a354907f778fd51cea
10371e38459d7a1a219cb85e38b2d8dda1c45138
/docs/1.6.0/_sources/generated/torch.multinomial.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
92
cc0c459b4a9be93bc86c21d121f927a77a9b63fa
45f98dff591d82c11e0e2af09261d966e05d371e
/docs/1.6.0/_sources/random.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
125
21370958793c4d5076e5d37aa3c32eeb139acaa2
87c96408e2a8897a3a5732f48b97d29c3d67f85e
/docs/1.7.0/_sources/generated/torch.rfft.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
71
5cf35addbcc31da0ad449ad25a9bffe50877b695
fa831d811639a903337035680c6ee3d56db4d96d
/docs/1.6.0/generated/torch.qr.html
208eaa7868607fc68837bce4a9198decbe514a89
41,522
f2b642b4f3090cb89fcf57c79451d37d7d3e8609
b5614e02001ed139a2e09e30345725907e0adb35
/docs/1.7.0/_sources/notes/amp_examples.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
17,376
ef71b4880e939c56b1a0f5677df642fbdeb96879
fe8eaa1769adfcec28018e62745d5e0e30f80efb
/docs/1.7.0/_sources/type_info.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
2,301
c81abf354eb36d49b66636e8bfc34314c1d38645
e6d1ae4585a4a74f483c87be7f5c76744a7bd962
/docs/master/generated/torch.nn.utils.rnn.pack_padded_sequence.html
208eaa7868607fc68837bce4a9198decbe514a89
37,145
ea27fb31a98226c04ef4c7febfbd1016b6940b47
f228433c2ffc6e0c93fecff0e9d3ba385ceabfe4
/docs/stable/_sources/generated/torch.jit.save.rst.txt
208eaa7868607fc68837bce4a9198decbe514a89
83
cccc8426cd009ce07ed45f876bfe63f8f1e61938
0e79b943af5155b27ea126536e8e41e4657c8290
/docs/stable/_modules/torch/utils/data/dataset.html
208eaa7868607fc68837bce4a9198decbe514a89
71,278
4b06cc35a1348b0e66f2de5c34e1a5aebaa932da
b45e71d55f83007c964bcbf2a5cf01b2c2003305
/docs/stable/generated/torch.nn.Softmax2d.html
208eaa7868607fc68837bce4a9198decbe514a89
37,814
ac37203b178fbc98c1c531fa084fb0ee245f669a
88100c1035b35109901f679850dedb2a3c95e929
/docs/stable/generated/torch.fmax.html
208eaa7868607fc68837bce4a9198decbe514a89
34,684
0a15952061f6fb7a5493281f6ff8eb916a417e2f
5b55f32beaca186f84cca115514f02cddbd1bbd5
/docs/1.2.0/_static/underscore.js
2092fff67aaeb14e709dd6ece976d7ca64538215
12,140
d6e967115c7178e803d222cb2dfd710fecff390c
edc7a4b2caeb72efa6ae5469ec864a0c09a9cfb7
/docs/1.0.1/_sources/community/persons_of_interest.rst.txt
2092fff67aaeb14e709dd6ece976d7ca64538215
3,628
4870fd8f8cc1f28000c379de83fc21b8d9721c1b
f22a22312159d4260868eaef0b1ffd0a0f15ccab
/torch/csrc/autograd/utils/lambda_post_hook.h
20e6d0ec92431acedc61842de6933bb2613d86fa
976
d68dce42fd9412529c336245375e801d774ed4ce
c3d892dc0f5fcb4827bf5604718c176f8692e524
/torch/csrc/api/include/torch/nn/modules/rnn.h
20e6d0ec92431acedc61842de6933bb2613d86fa
13,937
573e09f077e9272eeab49aafd2fdc4ef877ba683
90a433a3ce47ed0cffd903458b0efa57983ab2f5
/torch/csrc/jit/passes/onnx/scalar_type_analysis.h
20e6d0ec92431acedc61842de6933bb2613d86fa
305
3057aaac5c5a58dfd7df01db866ffc4793adf51d
9e52116049728b77ccf76d6b0ebe2e7be1bdf980
/torch/csrc/jit/codegen/cuda/kernel.cpp
20e6d0ec92431acedc61842de6933bb2613d86fa
13,671
25120bbf7f7cee4d8a95ada21518922ca2661815
46293c25131311cb4709856b5e8faf0f15d9ef1b
/torchvision/prototype/transforms/_temporal.py
20ebdcd13ee17fb13cb5e7610cf61e7542ee1f25
632
ceb5e934b928b3dd86212163f8148f260d0f737e
56560e9dab5c143699c918fa28236a902e530daf
/torchvision/models/segmentation/_utils.py
20ebdcd13ee17fb13cb5e7610cf61e7542ee1f25
1,197
7fef0806693d5ef7858a39dc04a5f88e21a2069a
4693997624e98d3c515fac6ee94d42966c45b703
/aten/src/ATen/Parallel.h
2107eac3b694c51106adf55999aa7cdfbd4542d4
4,839
b94f007d67a36e67a5af7a2b711562f0e48fb911
f576f579065976bad839a952f9429ce6cfbb7674
/.circleci/docker/common/install_ninja.sh
2107eac3b694c51106adf55999aa7cdfbd4542d4
280
f46223a56dfb1e588ff2f06e984c6aa05428d99d
b668625dce18d1f011b2a1f8be8ad95e61c50fb9
/aten/src/ATen/detail/CPUGuardImpl.cpp
2107eac3b694c51106adf55999aa7cdfbd4542d4
226
504eaf7e9a111787eec9a2244d215b5d2708e815
298e8734bf5249153100fa90edd282edf5680713
/aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/q8gemm/4x8-dq-aarch32-neon.S
2107eac3b694c51106adf55999aa7cdfbd4542d4
159
788e06b4affe2e15632d5795086c4d18b5b539c6
ad40b4ad784c66a75d69352596b393b8887fe3e4
/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/6x4-neon.c
2107eac3b694c51106adf55999aa7cdfbd4542d4
23,968
2f32faedacf68ad3a503b961b7a8d2acdd020ae7
7f99a0718b1f87c5a519cc3814d28abc40e94efb
/c10/util/AlignOf.h
2107eac3b694c51106adf55999aa7cdfbd4542d4
4,835
512fc66d5bb4ead4fe779b01cd4fdaab9ac45cb7
eb77a7b8281bd5ebba25f6d1afca11e7f722005a
/c10/core/SymInt.cpp
2107eac3b694c51106adf55999aa7cdfbd4542d4
5,012
5a6591f628d05ddb539a0b1fd3c01f5848fd9f87
a4c90fdfc3d1811ddadb146a10cfd9c98b788c75
/caffe2/contrib/gloo/allreduce_ops_gpu.cc
2107eac3b694c51106adf55999aa7cdfbd4542d4
5,069
2a255f6053fa7716ebcddbd1c388c4b8c87178d4
1ba2cc5a342d76823a6573b67816dcfd16aefcfe
/caffe2/experiments/operators/sparse_funhash_op.h
2107eac3b694c51106adf55999aa7cdfbd4542d4
7,548
1c212f3a289aa88b75d981e441312f6e19d045b6
fa8f7fb19f74064be301ddbbca2d29d39bf15c13
/caffe2/python/hypothesis_test.py
2107eac3b694c51106adf55999aa7cdfbd4542d4
105,762
ec07a926144f30d0e479d84a37d75f078a973ef0
dffc947eff67555c8a0c9baffed0a87b5ee7502a
/caffe2/operators/negative_op_gpu.cc
2107eac3b694c51106adf55999aa7cdfbd4542d4
269
f72eec6db72f0f1e8e0427f9a1240b449a808d39
94b994ae7c1b4eb34c24686fcc15609967c0ecc5
/docs/1.8.1/_sources/generated/torch.tanh.rst.txt
21cc4c6b3498dcf570a9475d9fa1de7e6ba3caab
71
ae8b3bd8679da49fd5197c30ac6b9174a5daee6c
4c4aa2af059fb555d8364a7f1a41ddca12d4ae63
/docs/1.8.1/generated/torch.nn.MultiMarginLoss.html
21cc4c6b3498dcf570a9475d9fa1de7e6ba3caab
54,943
9c64d335e19bf80bcf23efeaf8e2a61dc816de51
535c01eea125458da34ddad39bc8ceca696e0f1b
/datasets/wikicorpus/wikicorpus.py
21d0f1dd3fa81df632987b5c13d02a590b2dc89d
8,273
1c62372e3392c6710e9b2b09a2dd44fd797246c0
39937d70601d3578e85751110bb332a0a395b2dd
/datasets/wmt17/dataset_infos.json
21d0f1dd3fa81df632987b5c13d02a590b2dc89d
22,938
b4639208ba44b3f88e4c054e4801b508b00f9e7c
ba6c28632e57c60a7dff39b125bc73ae0b607b2d
/fairseq/data/audio/speech_to_text_dataset.py
21e511c31863393baf3267b4c3b550f3cea4efcc
21,118
2219732469a0cb731aaaa44fced04026fcad0f9c
a414095d03fb022a6753e816fc8bfd80e11db24d
/scripts/read_binarized.py
21e511c31863393baf3267b4c3b550f3cea4efcc
1,370
5b7d1ec8cbd4ec28b9fc5f60bd9aca3c7d5a3795
3c64a33711b0075eaeebd7a4a3ad521d9d781e02
/test/utils/multi_objective/test_pareto.py
21fecb4131ad8cc90f894951680ea473a1eb27fe
3,069
5c07f15d8f0994543b2881e821794127c5dbc6b8
b61794487a4122751914a5fbf65d7d1ccf113e96
/aten/src/ATen/native/miopen/RNN_miopen.cpp
22057de1fba2d690d29b4528fb850f91b2599088
37,604
f2bafa7c12fa654683636514f9ef24af6969cf16
385aa928acca1c00f65de99636cb6c1169e9a35a
/docs/1.9.0/generated/torch.Tensor.hardshrink.html
22116137384bae05fe1ddfd124b57bf2d4ec8fde
31,954
2844add5b1316725d2baa858733d053d96f9b735
13664e6b0b2183f181f6e9bac4aee2be57c8b502
/docs/1.9.0/_sources/generated/torch.nn.functional.adaptive_max_pool3d.rst.txt
22116137384bae05fe1ddfd124b57bf2d4ec8fde
162
d871b12a1e1e8ac3ae324e2481b1db0996eec697
f2272d2c6d14c95a33a0ca60fc0841cdff515d42
/docs/stable/_sources/generated/torch.svd.rst.txt
227a80a019e0916fc55633829a7a1264c8d26615
68
bc31ceaaa758487c7b423a08073f158292aace6e
8cfdc7e25ab51dd2a5b4dba7f30c249d30d080b5
/docs/stable/generated/torch.Tensor.cosh_.html
227a80a019e0916fc55633829a7a1264c8d26615
31,787
322a2c77c1a2cfc3996b0cd5b9557a0525a957a9
6f73c5885f55de707bfc395b7f73e2df423bb470
/docs/stable/_sources/generated/torch.tensordot.rst.txt
227a80a019e0916fc55633829a7a1264c8d26615
86
97a17523de8d9bffd80c75408c53279115f02109
e7f11d1fe2f1a30f9aeb8174adf9803dfd6a6ec1
/torch/csrc/jit/mobile/compatibility/model_compatibility.h
228606efc43968bfef22b332f0d31ff8f45fa07d
3,591
ae5469ac65727e5471378ac0f76a6052d5ee0ca0
318bb2266aa43241718cfed42659ee611a92195c
/torch/csrc/utils/python_symnode.cpp
228606efc43968bfef22b332f0d31ff8f45fa07d
452
49c9dbd614e0fb367b2e07ea1b62f7abef759159
7c443e700d4edd6b5466f8fe0f05391fd615f536
/docs/source/pt/tasks/sequence_classification.mdx
22d37816973c8b0f5f7db8f188937ba6d18bf6b1
9,337
736adbbd43cb15b3cfb75fca35bd7fd547577cc1
c1841c5b0d34edffd48dc865f5c4cbc952ab9dc4
/docs/source/de/index.mdx
22d37816973c8b0f5f7db8f188937ba6d18bf6b1
58,457
6319926e9a8b35d8181ac3a78c813675e0132720
79d79ae6de21c0ebbfe3cce3b690804484f5ff70
/caffe2/python/operator_test/integral_image_ops_test.py
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
3,419
089e9dc0874d0301ebd3df69828c61b7e82e74a4
12e3439130af5f3fb301aa44077ff7e88a416bc4
/torch/csrc/api/include/torch/special.h
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
38,422
374cb3898229bfb48234b024c64ae6a0fdf239c7
e6f06c9dc9669af956935eda9c8ca80226aba71c
/torch/csrc/distributed/autograd/python_autograd.h
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
224
948a1a9422e2a66ce9eea9328e9c9181334bfbe9
ea14e621e930d155d5838cae21b994f359190f65
/torch/csrc/autograd/custom_function.cpp
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
21,349
4cfa757387dc52ce60eb29a1b533054fd18a0011
87d773548532fc866e7343e9564bec84c3c7404b
/torch/ao/quantization/quantization_mappings.py
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
13,750
5d3821cb1f3d0055e36db814e2bf585786db053b
f290b351ca66447e8ddce19c808135bd46310f92
/torch/utils/data/datapipes/dataframe/structures.py
22e1561c49cc0a90e323ac7eaa3f5f7597ecc445
632
e0049cc9ff3c7f445b9039c3ba541fd708b471f0
3258ec716b23229410e32c279d4a42c39a250a83
/src/transformers/models/data2vec/configuration_data2vec_text.py
22f09ca552bf89b2d7db6e10f214b7b9cc58208c
7,231
b4d6dad5f2c19c65ba095fab5ae0464729271d97
93750b64cc3a2db5b0b162a5496ecda4e36746e0
/src/transformers/models/unispeech_sat/convert_unispeech_sat_original_pytorch_checkpoint_to_pytorch.py
22f09ca552bf89b2d7db6e10f214b7b9cc58208c
9,289
cccf8cdccf9ad16fc14dcce0bc64b1858139144c
6b38af78a2587b8a910fa28d93f25c1403d68692
/cmake/modules/FindMKL.cmake
22f31dde0c4e55a086ae0ad9725e3bae37a3a139
8,966
f7f90bce88948f9bcc65466338d290026accfc47
dccc773ce5232a2abc77ee523635064492f93fb9
/pytorch_translate/word_prediction/word_prediction_criterion.py
22f2abb990d2d626a1858958893b2070a0f11af6
10,882
b6cd5aac1f6649c784e2aecba376931ec66f67a2
568669e10fdfed96e19029ae4b8c7540636cffaf
/aten/src/ATen/native/cuda/Embedding.cu
22f3f05e8056791f22adf3f3575483ca6bdda357
14,460
d792c673544b44442a30360801ae778170c9ee06
5c1c316678e107c882cb8ed6a2f2f447022f0b83
/aten/src/ATen/native/quantized/cpu/qnnpack/buckbuild.bzl
22f3f05e8056791f22adf3f3575483ca6bdda357
21,862
0572fb715ec92ba0671d9dce260e51759081914f
49c599b516dd7f5ee4c29fdea5b9c3464afbeaaf
/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_t.cu
22f3f05e8056791f22adf3f3575483ca6bdda357
1,482
47d2d08b40907bfc58a50f3f3b85b07bb534fc2f
b963ed4b3b55e7cbd212709ec645de72b4ab73b8
/datasets/tsac/tsac.py
2307231b544ba55700400a2e4506bd2b452532e4
5,416
9c549e10e2f7c31bfa7e6878eae6d3d43479091f
432c8187034ee3b6715252c6f340fa14b32b8655
/docs/0.3.0/_modules/torch/optim/rmsprop.html
230b2de92af167dfbf924abd2e789126c657889b
68,118
fe79a3906716863f1b8c7cd508132a3d034f877e
e38a2e33263603f735e5ca7a67fb5ccfbc5bb7e6
/docs/1.2.0/_modules/torch/optim/optimizer.html
230b2de92af167dfbf924abd2e789126c657889b
52,147
a8c2ed735bdc6395fa095eafafaf2e2654211849
865beeeaa4acd08bbf3755f99c701e2ccd8fa1b9
/docs/1.2.0/_modules/torch/distributions/log_normal.html
230b2de92af167dfbf924abd2e789126c657889b
26,956
7ed9352ce700b5433fd7dd20a578c09920f097af
a2ecd00fa71218fb2148fa8fe0932d134fa50fa5
/docs/stable/generated/torch.nn.GaussianNLLLoss.html
230b2de92af167dfbf924abd2e789126c657889b
51,510
992d508e92fda53c720a2e3b746560b16f1279f2
9c517c02fabe88f426cbea21198b6a30f1e5142c
/docs/stable/generated/torch.no_grad.html
230b2de92af167dfbf924abd2e789126c657889b
33,780
3212bdd6354c90e701ebb65ddd78f45ff3bc18c7
b5d88cc92207e62e1a19a25c9283c58f1e14a6f0
/captum/insights/attr_vis/config.py
23377bb77713fd51b88a68eddeb56a8b131f2dee
2,308
386e672a303d80cd22d1190df3afc3f16707e756
ee91683890d6b7ccff2ef7eef363a4657c9d6048
/core/src/components/ripple-effect/test/preview/index.html
2330a7c4e2d017feaeff409de45229c3a6cb56fe
1,902
73b19fdb71a7202707160fac4c1d0d17eb8cad1a
2dfeac6e871fea2a4d85cce37df7a7dd98a751a8
/docs/1.0.1/nn.html
2339ecc66331b16598a71476aa1563618880b719
1,085,238
20fe21cbeb78cd489978c9c9b1c40da579502b8d
56b3f689bd170548a7e868fc84855f0de8a827ac
/docs/1.1.0/_modules/torch/distributions/weibull.html
2339ecc66331b16598a71476aa1563618880b719
31,143
ef0852194cab3d7e27f01b415e87cff9a1284351
9c2e9c4b18f1479f0eeec0cf8ca58adaed201c63
/docs/1.10.0/generated/torch.randn.html
2339ecc66331b16598a71476aa1563618880b719
38,556
e93f74df471c4f8353b43ecf921adf708888120e
6d051bd367a4c8222e74568f39b2943545859a44
/docs/1.10.0/generated/torch.nanmedian.html
2339ecc66331b16598a71476aa1563618880b719
40,980
ba38e623036ab8259906a3ff3203c4d9c176df1c
407e0e110a4b67e25bc7a2f4886b892bee3aa94e
/docs/1.7.1/_modules/torchvision/models/inception.html
2339ecc66331b16598a71476aa1563618880b719
114,796
9a455ecfd1ad96ae47d3ca7fd5ea32ee4ad3a3ca
7715564d48aa905be7c523186d5a93e8a9079087
/docs/1.7.1/_modules/torch/backends/cuda.html
2339ecc66331b16598a71476aa1563618880b719
42,586
9cb71ce23dabd582d00b5f4718d6c8eb016f5344
429ff269ad62b260a395e2a57c35fd28c7912127
/docs/1.9.0/generated/torch.nn.PoissonNLLLoss.html
2339ecc66331b16598a71476aa1563618880b719
51,707
033b1d4738d074dc2f6a4744398e8e5da7d34350
6e9e3e81459459d5b45b9808bf213ee61819f24d
/docs/master/_modules/torch/nn/qat/modules/conv.html
2339ecc66331b16598a71476aa1563618880b719
59,410
0acea722accd315ba83ede6f8016968871e6b58d
45d6fdf2add2a8c3f0a3a087ea72c3e90844b7d4
/docs/master/_sources/backends.rst.txt
2339ecc66331b16598a71476aa1563618880b719
2,494
13e10fdcd094770b67ade0da3af8af2ec9fe9bb9
d27f98cf8aa98dfd0917b326312210dbecd86797
/docs/master/generated/torch.nn.EmbeddingBag.html
2339ecc66331b16598a71476aa1563618880b719
62,044
0ece5e1b1179014305ad4f9293f90734c85e96b0
615f2a04f053ae87cae9ce718e3a09d6509b6ae1
/docs/stable/_modules/torch/cuda.html
2339ecc66331b16598a71476aa1563618880b719
119,721
d723eb2e81e1144fbfd19fc310042b16c4fe2b3f
dc06eacf6e1449890fc75ff237d4ff86e0a831dd
/docs/stable/generated/torch.Tensor.flipud.html
2339ecc66331b16598a71476aa1563618880b719
32,157
7fdfef8c999d253cfacd0326c504703eec47deb4
e3c18bd6f695ce365800fb72bd25be6a7dcd2b90
/docs/stable/_sources/generated/torch.nn.functional.avg_pool3d.rst.txt
2339ecc66331b16598a71476aa1563618880b719
136