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
87f2776c01b99d662b39f7f1f51661fb977ff404
d98855dad42be031043dcc83c7735af9dd5bf841
/src/transformers/models/auto/processing_auto.py
2e012033bbce6d305f7249bfa2fac6153d08e19d
13,984
215ebf93bf2d9fa70a656ecb83b8d196e60fbc50
9d855fceb4805dfd0c708a3b8f656ce4256f782a
/docs/source/en/model_doc/speech_to_text.mdx
2e012033bbce6d305f7249bfa2fac6153d08e19d
6,064
60e65143f0d4bc0901bb434aa86f2450ac83a751
4db9b54dab34fef2bd64a2243f269524593532bb
/docs/source/pt/multilingual.mdx
2e012033bbce6d305f7249bfa2fac6153d08e19d
8,532
89947d282f5381d299bc282768dcd40095814c06
5b84fd6dbab23c17f031d75ab544085a12998d56
/docs/1.9.1/_sources/generated/torch.nn.MultiMarginLoss.rst.txt
2e5575bfb798f23bcf6d59d388e9624ffc9fa953
257
da2c2793a5a52296f4d924211f4f82239989b302
65d65e265ef1e0e78fb0a43e60ec8e0399cb7c61
/docs/1.9.1/generated/torch.nn.parameter.UninitializedParameter.html
2e5575bfb798f23bcf6d59d388e9624ffc9fa953
33,385
713aaaddbc9f33f76331f2cc15961763a2aa5a67
987858f9cc7bb11308497875ed8e2cb8a8de706d
/docs/master/_sources/generated/torch.divide.rst.txt
2e5575bfb798f23bcf6d59d388e9624ffc9fa953
80
24cd659c9983174df5b84dfba63c8b0376686863
251214fe99a3f714e31c984c5b9abdf2994ba31c
/docs/master/_sources/generated/torch.Tensor.ne.rst.txt
2e5575bfb798f23bcf6d59d388e9624ffc9fa953
87
f95f2e8035c73b5cf2223b17092a6b365213d41a
c4ab1c742690c95c63e88f969031e6abb86f9e81
/scripts/build_insights.sh
2e7f454f5d8e39795317f8c6e55aabb19fd97562
1,144
c9361f30650fe131ac530a63948fadde69568717
6431bc5fc6b2c932dfe5d0418fc667b86c18b9fc
/captum/insights/attr_vis/frontend/src/react-app-env.d.ts
2e7f454f5d8e39795317f8c6e55aabb19fd97562
40
4a7297cf9cf8d96504d54eea82e6a8eeaca01803
7d18d78f672021866b838758a20591719e9c4ee4
/torch/csrc/jit/codegen/cuda/python_frontend/fusion_cache.h
2e89615097de23c637568b06981cdb0694101fbb
4,000
056db12c6c1270af0428fb1386c8f3522c6e5a26
0e4a7df03dc722d79069c001e576263a4f4899c1
/torch/csrc/distributed/c10d/NCCLUtils.cpp
2e89615097de23c637568b06981cdb0694101fbb
1,732
6d54f67b998c03bcaf335a4076444bdada14d756
6df8d3f95dd79474cb5a8bc5b7b2359e2bf141b1
/torch/csrc/jit/codegen/cuda/maxinfo_propagator.cpp
2e89615097de23c637568b06981cdb0694101fbb
15,955
ef1aac77b87379bd06c27bd11476c88f745f292b
6551615d5b785c7b5d3ee262365baf10d12edc17
/doxygen-python/html/classcheckpoint_1_1CheckpointManager.html
2e8cbe60c3294504ce8e8805ceafeab26ac313f1
14,344
2a36a8909f97e38fa51e812e221de633cfd5a806
c208dc403b1906c6944186d00645591a4fa041d0
/_includes/operators.html
2e8cbe60c3294504ce8e8805ceafeab26ac313f1
956
0b2333149d609ee86f4dbb895c5328b3ccf2f380
ccf7f7134b66c58c2e69e7a3f8c44aafdcbe384e
/doxygen-python/html/search/all_10.js
2e8cbe60c3294504ce8e8805ceafeab26ac313f1
3,755
486ab7649e9cfb38e649b3bec5ecd68a08bd58b7
92dd2a3deea9883e74ae3695cdbb0ff620df32a8
/datasets/mc4/mc4.py
2ed3e79be090963906302ad033b73cd6472b42dc
9,509
60691b5d1896928fd084d4e37b6e1fa84a5f0767
4241b2e6bbb65f55a24fc06c608a2bf050e33744
/datasets/multi_re_qa/README.md
2ed3e79be090963906302ad033b73cd6472b42dc
6,418
e490bf55c67236580117fb2804cfa711472a1825
7a9a29decc5ae834f8f6524cf79172f2f74ddb6a
/tools/extract_scripts.py
2f0329a1d048c3c53145e5525078eb721bcc35cd
3,088
1a653ff675d1481ccd66364d42a193fc6fc50374
88a5a03af1cc4dc5da5abee47dc75e6f1ff65f90
/torch/ao/nn/__init__.py
2f0329a1d048c3c53145e5525078eb721bcc35cd
499
10e7c1cda718f3dd6aeb164c23df81e40cd9fa4c
4775d72391f424d9e0d00a02e2f3444e40904bfc
/docs/1.7.0/generated/torch.nextafter.html
2f24c2ca1b298b0b05df01df4f173a205079e314
29,867
83434d5e2b65fbddcb7a93a2d0b56cfea8c211d5
92cffceeb7a2b73c0ce423fb9da1d6931c1fb6a0
/docs/1.7.0/generated/torch.eq.html
2f24c2ca1b298b0b05df01df4f173a205079e314
29,507
8362c5750af4d5f88605362a2cc3558ec8453292
77472b77bc39d524e645b58cebcc737b7d91fd14
/docs/stable/_sources/generated/torch.use_deterministic_algorithms.rst.txt
2f24c2ca1b298b0b05df01df4f173a205079e314
147
a7d76f85b424c604fb7c735c6a3214f7f7d594e7
d070a0a1b1fe087aeaf6d751f5644cd90a4c48da
/docs/stable/_sources/generated/torch.promote_types.rst.txt
2f24c2ca1b298b0b05df01df4f173a205079e314
100
75295c9e7575c0319d94a505181e10906e4ba80c
7e7b44fc6e8811aaa001cca8fcaf3b2235337ada
/src/datasets/io/abc.py
2f37154394ffc3efd6eea3412f3d9cac274db7df
881
7b356b17d2547208697fd7c6ef221aa0065777e5
fe5cb327d43e3df09811183084c9e0505b1c2e57
/core/src/components/avatar/test/standalone/index.html
2f3aacd0f10b880c4b94bad96aff6b3d2a14a72a
1,000
9a1b882b576c513bb3a50733cce80e0ea74ac5fa
878afccb72ef2c26b51f953cf51a88faf3861b2f
/test/cpp/api/init_baseline.h
2f409234f32e34f7fa6d4a9319f26bc2d0de07b4
43,627
bc0361476a1f2e8d3c751e5e635259939b84dd6e
6bdc23e0f9bab4cb7fb7c28397400cb544345240
/test/cpp/api/optim.cpp
2f409234f32e34f7fa6d4a9319f26bc2d0de07b4
17,131
c422203db4af0d1c9c662e56579535e8a89b1344
1c95f00180df4ded31800b294c776ec11ea776d0
/tests/io/test_parquet.py
2f45401dc63eadec3ffb80e72068aae893be990f
5,948
60323d32a826f7f85bbc667d1577693fb71afcca
00f8619d1412b82b394d460c1f914eb1b1321df3
/metrics/exact_match/exact_match.py
2f45401dc63eadec3ffb80e72068aae893be990f
5,700
5aad7c93c467992132a710562455f5d1f1885f8b
e7b00d23f521fdc232d6b7f13823ad59bc9c4dfb
/docs/1.8.1/_sources/data.rst.txt
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
18,658
ef60110e24d1742334e7e802b078a6bfeb5f428e
64b4986b4924f09a75ba9dabe13ab1e46e8ed1d7
/docs/1.8.1/_sources/generated/torch.quasirandom.SobolEngine.rst.txt
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
252
c89ab8a71b2560135781f789b6fa3b87d3b9fd93
f9115940fe68fa6ca5dd9dca58a192030d407553
/docs/1.8.1/generated/torch.div.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
42,559
b151bd4aa18cd1b3c0edb297df84c292132b1d06
1165a8cf4a71ea42c1cf9abb4634f5ab7c7173b8
/docs/1.9.1/generated/torch.linalg.vector_norm.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
39,757
34a36d0ba48a90858bf213774bdcd6af41bca19a
dcdefa9ffc4d1b1980f2b5f74b13d9440555627c
/docs/1.9.1/generated/torch.Tensor.sinc.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
31,756
efd9e38ab6a07287b66d6a9c0522fc61a4f99595
6995aa3ddcbbb5e7f17e089a87412da17e5b7c26
/docs/1.9.1/generated/torch.nn.Fold.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
60,366
349f00e15cf189b45929dc2d4b93926972307c48
7f9ec5f364de63b99928613e26c6005f7897534b
/docs/master/generated/torch.cuda.device_count.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
33,005
d8dbe64be54c2ad46172d271c6c38141e5e29f00
777fbad5a84615ebfb1b87832762b6076cc6ce64
/docs/master/generated/torch.Tensor.int.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
34,079
38caf95b9f0020bdbc63b80da5f2620b5c146172
86270bd1ded109c5908ab4af43a7bc30a209ce71
/docs/master/generated/torch.Tensor.retain_grad.html
2f508b50de6e4acf74cef4b4cb1f0ef46df6dc9f
33,585
74d7eea8701e20e2ace85cc87e9186dc240219b4
c697d0fcdbecc378aad612c85a98f071c43e5d57
/docs/stable/generated/torch.fmin.html
2f5be29d2d08013f011147d80600d0e56e3890df
35,004
0e97f3c5839f19c94b0d854578209d6623aefab0
b640465c45959143af59bfc075f34fa0f04a1537
/docs/stable/generated/torch.Tensor.minimum.html
2f5be29d2d08013f011147d80600d0e56e3890df
31,776
dca0683c87488f200acf96dea0da556b2fbc4342
f85a3c3a3fc151379948fcb31632ca9d6914b475
/docker.Makefile
2f7145ca77d2e0958ce7d389411da0d4e0e28f61
3,033
3673ef5e37b9c69e8300f28136b33081fecebe23
bdcb913867a735374cb1df625bbacfc2802b5c1e
/torch/distributed/pipeline/sync/skip/__init__.py
2f7145ca77d2e0958ce7d389411da0d4e0e28f61
450
a06bc5af1f8ba694ffcc86075b80d2e19391d8bc
a4b30289ced34a9ffdd1694060e1f46d1ea893f7
/torch/distributions/kl.py
2f7145ca77d2e0958ce7d389411da0d4e0e28f61
31,307
245637d298982b46860f00fd877571a40bb47fcf
b9b6fa654e37445efeb7005912ac66b8cd3834bb
/torch_xla/debug/metrics_compare_utils.py
2f7b1b8a44c52694eb967cc1fac14ed0e20d57f7
8,201
a50369534a6015332963fc79aeddd97bb9842035
f59a3b65f7006e325c58a82980629deba242980d
/torch_xla/csrc/ops/diagonal_view_update.cpp
2f7b1b8a44c52694eb967cc1fac14ed0e20d57f7
1,438
dd031efd5f82da06dfff1c7218ee63e637218c4c
e0e5712ade9e412877a6f2dc38b76a2d79269742
/docs/1.11/generated/torch.std.html
2fb16c9dfc29606d7aa7c7e966443a36c231de80
38,953
1a6ff0b0460747f6c917387333c5776bb746bca0
a26e45950e0a863aa02fcf9d5c8624daa5aba358
/docs/1.2.0/_modules/torch/jit.html
2fb16c9dfc29606d7aa7c7e966443a36c231de80
326,306
fca9e5a72172557be1b35f3bfbe168a43c76ee24
25800db97202641bdc5b1639d24b50aecb243946
/docs/1.8.1/_sources/generated/torch.max.rst.txt
2fb16c9dfc29606d7aa7c7e966443a36c231de80
68
8654265dbc2f7c728e25c47713bc125d2a267364
1e7063dfff6a1186d7f93ebba7f204445acf7e19
/get_started/installation/aws.md
2fb16c9dfc29606d7aa7c7e966443a36c231de80
9,240
71576a6dd2d16436d8d89e76ae3a106c2030614e
0d12e4790fb3407694dae0d75c2810aa44b3de4b
/docs/stable/generated/torch.sin.html
2fb16c9dfc29606d7aa7c7e966443a36c231de80
36,404
8a5c5f63471b6666d479a865cfdc41f9aefc3bda
533481c1867d23ab43ded46009abefcfa659a7ae
/docs/1.10.1/_sources/generated/torch.nn.functional.ctc_loss.rst.txt
2fb4c69cb2b35e759392357407f2b61dac5bb563
130
3a1ccf0dcd1c5ef522e5068308e0e38940a660ea
a2ac71158221fc593708e81eabf11f2c7cba257b
/docs/1.10.1/generated/torch.Tensor.addr_.html
2fb4c69cb2b35e759392357407f2b61dac5bb563
32,836
0f2dfbd90e280b4a4c82a372f62e4a618dff6869
4e8b565824199d4e41f94bca040f1f4d0591278b
/docs/1.10/generated/torch.cuda.current_device.html
2fb4c69cb2b35e759392357407f2b61dac5bb563
32,165
5be781af4041c9bec5c57e5aca8f0dc049a55e5a
cd0b057ad8aefa42fc94adaf1eb05cf136b4d0ec
/docs/1.10/generated/torch.Tensor.tanh_.html
2fb4c69cb2b35e759392357407f2b61dac5bb563
32,159
7a80f4c52f780e4cf50c054ef938506b7eed6a91
aa2af3880facf742fa6df4f90a2dcdf70674eb17
/docs/1.9.1/generated/torch.Tensor.cauchy_.html
2fb4c69cb2b35e759392357407f2b61dac5bb563
36,070
f58df691b0ca6c97d7cef6bfdef5e0b0bb98b371
6f0ef9fb69363ff173e0d994fa69d67b9eb750aa
/docs/1.9.1/_sources/generated/torch.var_mean.rst.txt
2fb4c69cb2b35e759392357407f2b61dac5bb563
85
fa515fcfe403de5a00185b53eba4c758ad0fd77e
5d7831659fc1cc819592fd7904b906a66195346f
/torch/testing/_internal/distributed/rpc/dist_autograd_test.py
2fbab772448baaf3b3cac45a40f1ff7dc9311006
107,769
95806f066b669a87fb3da80b30b6a838f1f49cf3
2179e7a5a7d6a7a6e1be6a5adf0124c01576853c
/torch/utils/hooks.py
2fbab772448baaf3b3cac45a40f1ff7dc9311006
7,491
f4f1bae8d9e57f5ae5fedd4d07d6c5a74b3c9851
57ea18a097b099b0701071bf06cc42f49f82797c
/caffe2/sgd/fp32_momentum_sgd_op.h
30200bdf0eb93eb2bd91c4953f8721105dc73879
2,015
01bb6651a175d7a09f08b3de97d317a156e605c0
f3694f5d0bacd8e9734bdd9d4bb47cdf69fcd48d
/caffe2/utils/cpuid_test.cc
30200bdf0eb93eb2bd91c4953f8721105dc73879
175
5c17d4c616b635391671ff9c0094be6019821506
f479ed477798fa791a9834f423364d2fa7fa1046
/caffe2/operators/cast_op.cc
302f782af10aa9535bba21779ad09a80b41a0212
6,592
3f0f96f05dae75e08eda643ad33da7dd871102bf
07d44ae51a457bc953f694b0d8e323d8e8fdf728
/caffe2/ideep/operators/quantization/int8_given_tensor_fill_op.cc
302f782af10aa9535bba21779ad09a80b41a0212
4,838
2ab23e79a92fca0b7055801312cf2a88201fc424
608bcc37fedb35108505b320ba03001689d8c639
/docs/1.7.0/_sources/generated/torch.exp2.rst.txt
3052e34334bfffb2d32ecbe93e47007068e89f28
71
7efa5d7c5bf1e73d5d8bae614c3a50eaac48a8e7
5ec41fe247d74b359993f1ea4165138380abc777
/docs/1.7.0/_sources/generated/torch.orgqr.rst.txt
3052e34334bfffb2d32ecbe93e47007068e89f28
74
fbad53d3e0995d73c8f9e83f3e586f9b67bba13a
7c88c96b974a6dd9a281b654bae0cdc2b2b31817
/docs/1.7.0/_sources/generated/torch.flatten.rst.txt
3052e34334bfffb2d32ecbe93e47007068e89f28
80
815ea0234c9d490680f2a235e7643c212d262043
a6d75853f572193e4c04bb931d9254c23fbd838b
/docs/source/es/_config.py
308213586d9ba378837d387093b6601a9b1cb566
514
44e54a1393eef4c2065a2bd1dd3dba168775596d
1f845db04c04483625bb483f265782e413c6b916
/examples/legacy/text-classification/run_tf_text_classification.py
308213586d9ba378837d387093b6601a9b1cb566
10,735
c34425af805585046cc9a1b566623905fecabbbe
fb3eb8d28c117f28a4932439c729c054d50d8a8a
/examples/flax/summarization/run_summarization_flax.py
308213586d9ba378837d387093b6601a9b1cb566
42,183
09191ee49286c9c682d4b418c9d0bca01ee00d9d
b6a42f402e12c7b8c08a3b43c3af496b672d6eb2
/references/optical_flow/transforms.py
3083172d66231e70c60c926ce35570ef872caf21
10,998
c981b8f6f056876d28a1a48f03eb5bea24462df8
3649a621c1d0d531f9d78cb091b3ba4e4ca612b3
/datasets/wmt18/wmt_utils.py
308998170199369134d7c263e12583623695d15a
39,574
df28f3c37abe0dd8001dc02068d98820b1887a02
be96df9c6a30f833cf111541eb56eb6634230ae6
/test/Float16ConvertTest.cc
30842adf25813f58e149b5cb974ab3eb1bfcb4c8
3,552
7c7e2a2b92d7e64486fbbdfbeb40b5122ccb9150
68d2f6cc289b90328b37bd3c40bd1a9b6ea720f4
/tests/ignite/contrib/metrics/regression/test_median_relative_absolute_error.py
3088beebd76274baceae7d6430f39be5ebd4b90b
3,015
d769b23f4b614ef8f04efd26e835533216dae62f
3ac89cf9bfc176f43ba21cb0e0c36645b509353e
/tests/models/decision_transformer/test_modeling_decision_transformer.py
3091a6347188e45bcb898fc1b34694dd71fef12c
9,501
4acc72d24a86a154d31ed8cfbf15ca4e2590d3be
61c356bfb0ced38fa08781de90286b438d380d9a
/tests/models/pegasus/test_modeling_flax_pegasus.py
3091a6347188e45bcb898fc1b34694dd71fef12c
15,723
99ca86ec423a7c1209161e5fd4d04abf8064bac2
ec091eb24435ab1dd26d4d319091fd03aff32273
/functorch/examples/compilation/fuse_module.py
3091f6a5fddc3183b4d618cf0e823e5e0d3b5747
1,447
53844d4ffda0a5cf501ea3c02948e7ce369a0665
368d62e34d1c79b1934f4f4782bedb8b5b36146e
/test/bottleneck_test/test.py
3091f6a5fddc3183b4d618cf0e823e5e0d3b5747
115
db4249b78fdd6c18cc61d31d65e048fa024706e6
258a1ee16dcaccd582543bd1fe2ae70aeed55fbf
/docs/source/io.rst
31192667a62bbd02930aadb4a540d6cafe92ac14
2,211
0097aa4f2cb15a66a6bd5fb734d99b2895d5fce5
ff9014c34954c9a67ac69227e2a66b47f5bbf317
/torch/onnx/symbolic_opset11.py
3118842063c85bf84109e05819c7d03d953835c2
51,907
2d0f1e913b164fc3cf35ca92ee4024012a7f090b
f8128a1a45bd2af89ff083dd3c2bdda0799c4022
/aten/src/ATen/native/quantized/cpu/qnnpack/wrappers/u8maxpool/sub16-sse2.c
313cd28c234d48a37ca9d76a95dbd87173f23907
243
5e0ffca7f028d42f403ad57bd639c01e85c2d04c
d5e270fe609fdeedc43c460b720814f1ea7d38d4
/aten/src/ATen/native/quantized/cpu/qnnpack/test/channel-shuffle.cc
313cd28c234d48a37ca9d76a95dbd87173f23907
7,404
e47c0aacd66c0399a37ae88598ed27d5284d0958
5d02d9e04ed71a0e2c4b98f5f4309504c0a24a5d
/aten/src/ATen/native/quantized/AffineQuantizerBase.cpp
313cd28c234d48a37ca9d76a95dbd87173f23907
10,092
66d348ae9a4acbc4889da16412cf2de7f613d7ac
540967b6010ec8e93ee9c5352e6e7b8cfa6d158e
/torch/csrc/jit/passes/erase_number_types.cpp
31414c0ab0245d9b37f669eb88a7b841f8ebbab8
2,356
c96ffeef64acfe73d53377ec8e84ff909614bd61
9d3482c2d1d4809bc935eb15f04e487d27d5732b
/torch/csrc/jit/codegen/cuda/lower_double_buffer.cpp
31414c0ab0245d9b37f669eb88a7b841f8ebbab8
23,474
0c9007d87382d845e43a3c59eef4e83e6ba9ae13
e4672d666a931b41a0bacf6a5c997fa72abc3493
/c10/util/SmallVector.h
3175aa85192dab7698c597c07edc14e468ad2ff9
48,810
61e876507b2f704cc5705eb82b78a0c2a3a6ecf8
b3d66b5f4c600f73fe72e598f06e06e3a65a0110
/docs/1.0.0/_modules/torch/optim/adadelta.html
317e078a08ac08a693641ce62b1bac21927faf0d
31,153
e5ab4b8e7a714f7173bab1c508bc866847fa09f7
f96f79ca3ccfad179f1c0535e7de9d3630c498f4
/docs/1.1.0/_modules/torch/distributions/chi2.html
317e078a08ac08a693641ce62b1bac21927faf0d
22,952
82d7cbf5e7d9eb80005ca97255cdaa9ed461bb21
ad5fd9c7531e5d0f22df22910cfed236f61440c8
/docs/1.10.0/_sources/generated/torch.Tensor.baddbmm.rst.txt
317e078a08ac08a693641ce62b1bac21927faf0d
102
48d39cf2548b6aa42fa0a2a416467f11a3b5bc72
bd33c15e1ff1fcf29dd6d945d353e5056303b6ce
/docs/1.10.0/_sources/generated/torch.Tensor.eq.rst.txt
317e078a08ac08a693641ce62b1bac21927faf0d
87
857e5a03035ad1fd3e971a9558d97f5383344131
2a11ba8a5daf0071bae4e0c662bcd3ded9cf46be
/docs/1.10.1/_sources/generated/torch.optim.LBFGS.rst.txt
317e078a08ac08a693641ce62b1bac21927faf0d
214
e86e6265becfe5e25b048e0907ac1dd4252e3bc3
03f416f88b24dfc19d08bfccffc5b5ef17ea1a95
/docs/1.10.1/_sources/generated/torch.nn.functional.conv3d.rst.txt
317e078a08ac08a693641ce62b1bac21927faf0d
122
fdce8b18221402b07902cf3a3b0cc173963f2775
5fbdf6b690fd94745044098fa096bfb213341f70
/torch/distributions/fishersnedecor.py
31efbf080a5c8621ae1773401da783e9df0056f1
3,396
4787ee0370363da8bc0a24542c8e69f42218b65f
26a1fa37667f6af9f65e4ea0c3d932e812bb56ec
/torch/utils/_zip.py
31efbf080a5c8621ae1773401da783e9df0056f1
2,122
9df8ee395f905ffc8207dda881de31b52d0b2e5e
48e52bdc7525c538357ca64416f293aedaba078a
/docs/0.4.0/_modules/torch/nn/modules/padding.html
320375944e951ed07da88dbe9614adf8d1ff9e6c
101,734
08f23c90ee2b0291625ddb8604e77c8486d5ab11
f6171cfa061d32dfad2cb7539d5fe59ae11e6d70
/docs/0.2.0/index.html
320375944e951ed07da88dbe9614adf8d1ff9e6c
49,785
89d86fa0cb562a0df048ae0b072e21dc27a6eac5
04ab6c6281c7c8c4ded87738c3f35235f81c13ee
/docs/1.10.0/_sources/generated/torch.nn.functional.local_response_norm.rst.txt
320375944e951ed07da88dbe9614adf8d1ff9e6c
165
3bd3b0d3e7a2e984a9ac13e3aa49bb6ee37f2f66
561e108b61630ef86209c059bafc9e5161c948fe
/docs/1.10.0/_sources/generated/torch.nn.L1Loss.rst.txt
320375944e951ed07da88dbe9614adf8d1ff9e6c
233
19b68650bbccfad616046b540219700deff5a57a
b0d2917aad3b52fabf527cef5cd5924bf61de525
/docs/1.11/_sources/generated/torch.autograd.function.FunctionCtx.mark_dirty.rst.txt
320375944e951ed07da88dbe9614adf8d1ff9e6c
182
42610fb72a0a0a7a1bb97acd78fceba45b5c53c0
48452ba9d87c93d4e9b2c94d0b7c890bef68acd1
/docs/1.11/_modules/torch/optim/nadam.html
320375944e951ed07da88dbe9614adf8d1ff9e6c
52,400
77d348c9748f22298ebbcb4cf89fac28120091fe
0a6581d8cfb54ba7eab55335a715faaf4343c6c8
/docs/1.11/_sources/generated/torch.get_default_dtype.rst.txt
320375944e951ed07da88dbe9614adf8d1ff9e6c
117
1f5bfb29a7934ce810dc6fcf3235ea6ef536f472
418084031655a64fe4fd3bc10ed9a47c23fa9cb4
/docs/1.9.1/generated/torch.Tensor.bitwise_or.html
320375944e951ed07da88dbe9614adf8d1ff9e6c
31,902