Team Ai
Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.6kdownloads
github.com__pytorch__examples.json1056 linesDownload Raw Back to 45
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/pytorch/examples",4 "url": "https://github.com/pytorch/examples/tree/master/imagenet",5 "host": "github.com",6 "commit": "acc295dc7b90714f1bf47f06004fc19a7fe235c4",7 "license": "BSD-3-Clause",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "7e5dc9b5cf276166c4a0678d33e53b14e3d7ef47eee9356ab786c4ba45414efd",14   "language": "License",15   "lines": 29,16   "truncated": false,17   "block": 6,18   "row": 199019  },20  {21   "path": "README.md",22   "sha256": "31102942ecc95da649d2230235d372f494b920a11e6e5c070bf7e19fbf202748",23   "language": "Text",24   "lines": 39,25   "truncated": false,26   "block": 8,27   "row": 997728  },29  {30   "path": "cpp/autograd/autograd.cpp",31   "sha256": "a057fd66f460beb91a28070723be1eb8560f36d35f4d5ca67533d4386e9ea4cf",32   "language": "C++",33   "lines": 191,34   "truncated": false,35   "block": 5,36   "row": 366437  },38  {39   "path": "cpp/custom-dataset/custom-dataset.cpp",40   "sha256": "f86091ad32452a64ad82a6ad258a0e348bbc7fc6889a6f1175b3ab53aa30927a",41   "language": "C++",42   "lines": 231,43   "truncated": false,44   "block": 5,45   "row": 380846  },47  {48   "path": "cpp/dcgan/dcgan.cpp",49   "sha256": "aa7fa0fb97b1aa3f7c678f5bc245f6c2c1b601c8a41add9cb208e2bba3b6c23a",50   "language": "C++",51   "lines": 217,52   "truncated": false,53   "block": 5,54   "row": 394855  },56  {57   "path": "cpp/dcgan/display_samples.py",58   "sha256": "e3a14b3aadce3bf62ceea120c3c5be539d236e95c7d2828fa795c4e38cdcd89a",59   "language": "Python",60   "lines": 28,61   "truncated": false,62   "block": 6,63   "row": 2493664  },65  {66   "path": "cpp/distributed/dist-mnist.cpp",67   "sha256": "70b4c0fbd162a293b6dc27392a228f1d244b9891e84bc4b2e31534b52bd9b3d7",68   "language": "C++",69   "lines": 185,70   "truncated": false,71   "block": 5,72   "row": 358573  },74  {75   "path": "cpp/mnist/mnist.cpp",76   "sha256": "99764372d6b08449657285f1fa18efc8e13a372736674b135c5a6ee3b6ab2d32",77   "language": "C++",78   "lines": 154,79   "truncated": false,80   "block": 5,81   "row": 337982  },83  {84   "path": "cpp/regression/regression.cpp",85   "sha256": "4219ac68b67397b70aaa1fab16c8664af5046a17f6b564156087a89bbf1c85ef",86   "language": "C++",87   "lines": 91,88   "truncated": false,89   "block": 5,90   "row": 235091  },92  {93   "path": "cpp/tools/download_mnist.py",94   "sha256": "0d4ff5ff8bc0074c78f4bddbc52097c3c6bc86c52ee01dbb8eac4989cb253b2e",95   "language": "Python",96   "lines": 89,97   "truncated": false,98   "block": 6,99   "row": 34887100  },101  {102   "path": "cpp/transfer-learning/classify.cpp",103   "sha256": "bcecf06fa2266f5a229f4de4acf0d7d332ea868c0503b0114abb05dc21885bda",104   "language": "C++",105   "lines": 78,106   "truncated": false,107   "block": 5,108   "row": 2574109  },110  {111   "path": "cpp/transfer-learning/convert.py",112   "sha256": "1c89f4b06d942429d17c48afc7a199f3becb920cfdf9ed4dea10dd893fe59c0b",113   "language": "Python",114   "lines": 19,115   "truncated": false,116   "block": 6,117   "row": 23254118  },119  {120   "path": "cpp/transfer-learning/main.cpp",121   "sha256": "802820f1e5dafd84abcc24d09ba4709c5b1777469e3add692c026730ecf21864",122   "language": "C++",123   "lines": 266,124   "truncated": false,125   "block": 5,126   "row": 4153127  },128  {129   "path": "cpp/transfer-learning/main.h",130   "sha256": "129b9e4a779c9adf3fbda0b401ec244c522bcce39ba7f5ff702a3b05d3c88b0a",131   "language": "C/C++",132   "lines": 68,133   "truncated": false,134   "block": 5,135   "row": 6890136  },137  {138   "path": "dcgan/main.py",139   "sha256": "4f6aef3527822a32bcca366e336e941a67d04081f66f568cc24a0a642b5f9555",140   "language": "Python",141   "lines": 277,142   "truncated": false,143   "block": 7,144   "row": 3504145  },146  {147   "path": "distributed/FSDP/T5_training.py",148   "sha256": "c733108bde6cdf111c29b33a08ae727505e1141230a213ffb99ccd0d8c210f3a",149   "language": "Python",150   "lines": 217,151   "truncated": false,152   "block": 7,153   "row": 544154  },155  {156   "path": "distributed/FSDP/configs/__init__.py",157   "sha256": "b12ce6c709cfc09aaf7a89cc007e977f94a135483fdc345af97c095a12f4566f",158   "language": "Python",159   "lines": 2,160   "truncated": false,161   "block": 6,162   "row": 20493163  },164  {165   "path": "distributed/FSDP/configs/fsdp.py",166   "sha256": "796e20bb0c79c3b04388da4f05c8949d1397425504ca40e9339520637ca2d20e",167   "language": "Python",168   "lines": 19,169   "truncated": false,170   "block": 6,171   "row": 23621172  },173  {174   "path": "distributed/FSDP/configs/training.py",175   "sha256": "28cf6f8fbdf13957c8c74669ea2305ed4bca5f79d0222f231842c69eb8e65c9a",176   "language": "Python",177   "lines": 19,178   "truncated": false,179   "block": 6,180   "row": 22185181  },182  {183   "path": "distributed/FSDP/download_dataset.sh",184   "sha256": "b1860845b1441325b21d236c25d1d7c3856a148724bca0e3ae4486685db54bab",185   "language": "Shell",186   "lines": 8,187   "truncated": false,188   "block": 8,189   "row": 6707190  },191  {192   "path": "distributed/FSDP/model_checkpointing/__init__.py",193   "sha256": "42dc429b60580adf36ba8253ae966ff094d982e19721211a08ccefae7437a571",194   "language": "Python",195   "lines": 10,196   "truncated": false,197   "block": 6,198   "row": 21686199  },200  {201   "path": "distributed/FSDP/model_checkpointing/checkpoint_handler.py",202   "sha256": "bb40cc293c9e355374f26379d9a771f048aaa935e40774854dfc0c3f7e738958",203   "language": "Python",204   "lines": 307,205   "truncated": false,206   "block": 7,207   "row": 1732208  },209  {210   "path": "distributed/FSDP/policies/__init__.py",211   "sha256": "40cd709c3344478c1d6f298bb20a3204d8ecb29ee17679268f16711526db80fa",212   "language": "Python",213   "lines": 3,214   "truncated": false,215   "block": 6,216   "row": 20815217  },218  {219   "path": "distributed/FSDP/policies/activation_checkpointing_functions.py",220   "sha256": "8cf9cd7792debcd942846ae0c01e27740cca82fbd778b0d2244dfd0de8e23940",221   "language": "Python",222   "lines": 31,223   "truncated": false,224   "block": 6,225   "row": 24525226  },227  {228   "path": "distributed/FSDP/policies/mixed_precision.py",229   "sha256": "011dfa2409e3d1a18760a2c301c4b3873b7448eea72fbdc2207fb5128fabbf9f",230   "language": "Python",231   "lines": 38,232   "truncated": false,233   "block": 6,234   "row": 24777235  },236  {237   "path": "distributed/FSDP/policies/wrapping.py",238   "sha256": "8a16180cf283571647350cadc7851f294c19297347e5e8e58f2880105c00db29",239   "language": "Python",240   "lines": 47,241   "truncated": false,242   "block": 6,243   "row": 26545244  },245  {246   "path": "distributed/FSDP/summarization_dataset.py",247   "sha256": "ffa94c55792bb2f4abffd8431531dbeead41bf0a30ee679ee39f044509456ea3",248   "language": "Python",249   "lines": 82,250   "truncated": false,251   "block": 6,252   "row": 35267253  },254  {255   "path": "distributed/FSDP/utils/__init__.py",256   "sha256": "f504ff2d3f3a4261255e616b6aab9a75b9cae51aee093c0182550502d5bcf3e7",257   "language": "Python",258   "lines": 4,259   "truncated": false,260   "block": 6,261   "row": 21196262  },263  {264   "path": "distributed/FSDP/utils/environment.py",265   "sha256": "bb7feeb6bd4358e9f1933e7fd24513d9ea24ba03f63ff45b7df768991d7b93e3",266   "language": "Python",267   "lines": 27,268   "truncated": false,269   "block": 6,270   "row": 25450271  },272  {273   "path": "distributed/FSDP/utils/train_utils.py",274   "sha256": "bf8cac539ecb7db7207ba70d157a4aa9afeb3b08e847990dbfbf9c260b99d679",275   "language": "Python",276   "lines": 102,277   "truncated": false,278   "block": 6,279   "row": 36435280  },281  {282   "path": "distributed/FSDP2/checkpoint.py",283   "sha256": "1853b455639d6b761a695ca2140f104602b1a61d1a96afce2ae3959b20058ad6",284   "language": "Python",285   "lines": 209,286   "truncated": false,287   "block": 7,288   "row": 381289  },290  {291   "path": "distributed/FSDP2/example.py",292   "sha256": "f84fb0503517ee5c6a6100c69bd0ccc55431e141643a32de88fadfb3407ecc6c",293   "language": "Python",294   "lines": 118,295   "truncated": false,296   "block": 6,297   "row": 39149298  },299  {300   "path": "distributed/FSDP2/model.py",301   "sha256": "0217ad585158062fc6f61ada9dbe1493bf70d4fd9be94b48aad82d255634186d",302   "language": "Python",303   "lines": 134,304   "truncated": false,305   "block": 6,306   "row": 40394307  },308  {309   "path": "distributed/FSDP2/run_example.sh",310   "sha256": "8990ca27f741e753229a29edc4e4d2af69a3220330e26ff024202982e533866e",311   "language": "Shell",312   "lines": 11,313   "truncated": false,314   "block": 8,315   "row": 6814316  },317  {318   "path": "distributed/FSDP2/utils.py",319   "sha256": "d6b548bdf0285d2a20d8a149ebbe57fa09f178b469b70880db69e4ffab14c93d",320   "language": "Python",321   "lines": 24,322   "truncated": false,323   "block": 6,324   "row": 23738325  },326  {327   "path": "distributed/ddp-tutorial-series/datautils.py",328   "sha256": "6af257501c49d1373b9b57f47e54ec9260eef7d97ad46b59cd0280cbbd6cc779",329   "language": "Python",330   "lines": 13,331   "truncated": false,332   "block": 6,333   "row": 21879334  },335  {336   "path": "distributed/ddp-tutorial-series/multigpu.py",337   "sha256": "121d43aa786cb390872179f6004d507a91ee95da2f9c6cc178df3fcaf01aa2c4",338   "language": "Python",339   "lines": 104,340   "truncated": false,341   "block": 6,342   "row": 37895343  },344  {345   "path": "distributed/ddp-tutorial-series/multigpu_torchrun.py",346   "sha256": "6b0a1568337fe206fa74e971cfeec42317f40b82122475327d50f0a0d37e1ba7",347   "language": "Python",348   "lines": 111,349   "truncated": false,350   "block": 6,351   "row": 38853352  },353  {354   "path": "distributed/ddp-tutorial-series/multinode.py",355   "sha256": "28e52a2615675a4e4fba78aac60f4f2ca9c589a13f434811db2b2a408a56489c",356   "language": "Python",357   "lines": 112,358   "truncated": false,359   "block": 6,360   "row": 39073361  },362  {363   "path": "distributed/ddp-tutorial-series/single_gpu.py",364   "sha256": "e4b64716b50d6261069f38e552ed0c370f08a760e5fc975a2b34bb0f27f5dfe6",365   "language": "Python",366   "lines": 82,367   "truncated": false,368   "block": 6,369   "row": 35091370  },371  {372   "path": "distributed/ddp-tutorial-series/slurm/sbatch_run.sh",373   "sha256": "adf1f34d6b56d347089ddffaf219f3e2316edd5908586f53116975d67413ad12",374   "language": "Shell",375   "lines": 23,376   "truncated": false,377   "block": 8,378   "row": 7142379  },380  {381   "path": "distributed/ddp/example.py",382   "sha256": "a261723f015d6bce1247450c5a8732a8702f3158a89a7a0032c6a120f7065c86",383   "language": "Python",384   "lines": 101,385   "truncated": false,386   "block": 6,387   "row": 37330388  },389  {390   "path": "distributed/ddp/run_example.sh",391   "sha256": "205ba00c7215fc3be2199885ddda41c5658e7834ff5b5912497dc57b0a533b00",392   "language": "Shell",393   "lines": 10,394   "truncated": false,395   "block": 8,396   "row": 6873397  },398  {399   "path": "distributed/minGPT-ddp/mingpt/char_dataset.py",400   "sha256": "076f29ea3de531a0ab6c2a8b2039e82f4f4c6507dfe2b9b580049caa38b82461",401   "language": "Python",402   "lines": 43,403   "truncated": false,404   "block": 6,405   "row": 28473406  },407  {408   "path": "distributed/minGPT-ddp/mingpt/main.py",409   "sha256": "76ed1d0d9af85b774e4712acffda141f3267fbdb2e7b076daa6a8e08e40ae82a",410   "language": "Python",411   "lines": 57,412   "truncated": false,413   "block": 6,414   "row": 32550415  },416  {417   "path": "distributed/minGPT-ddp/mingpt/model.py",418   "sha256": "5e25ce645ebdd6d1e71b69fda809b3756a1640ae784694a584ec29e9053c566b",419   "language": "Python",420   "lines": 252,421   "truncated": false,422   "block": 7,423   "row": 3907424  },425  {426   "path": "distributed/minGPT-ddp/mingpt/slurm/sbatch_run.sh",427   "sha256": "3344ac9a30ab39047eb4450a55732963e4193fb6b9bc9f1cbfe34db72f89e525",428   "language": "Shell",429   "lines": 25,430   "truncated": false,431   "block": 8,432   "row": 7126433  },434  {435   "path": "distributed/minGPT-ddp/mingpt/trainer.py",436   "sha256": "70d823cf140a04181206941f425797daa6acde7da401c8b4536332e6e3ddde74",437   "language": "Python",438   "lines": 154,439   "truncated": false,440   "block": 6,441   "row": 43328442  },443  {444   "path": "distributed/minGPT-ddp/run_example.sh",445   "sha256": "ec30d3dcaefad7ce7f0be989543f319ff5906ef0df20aa848f88056a7fd7be3b",446   "language": "Shell",447   "lines": 10,448   "truncated": false,449   "block": 8,450   "row": 6776451  },452  {453   "path": "distributed/rpc/batch/parameter_server.py",454   "sha256": "57284a8adfecca27498e6a57f10f9b7d6865d88bad9948aff5a4d7852af9cd5e",455   "language": "Python",456   "lines": 158,457   "truncated": false,458   "block": 6,459   "row": 40624460  },461  {462   "path": "distributed/rpc/batch/reinforce.py",463   "sha256": "530abebfb99543f18579e18b38776210fb52d45e8d743d196b9fac2880e0375c",464   "language": "Python",465   "lines": 262,466   "truncated": false,467   "block": 7,468   "row": 2778469  },470  {471   "path": "distributed/rpc/ddp_rpc/main.py",472   "sha256": "3bfec511c4f06398370c5f6ffb292f1a42bb0f3f6369fda774d61a2c7805710c",473   "language": "Python",474   "lines": 198,475   "truncated": false,476   "block": 6,477   "row": 44844478  },479  {480   "path": "distributed/rpc/parameter_server/rpc_parameter_server.py",481   "sha256": "43ac6db8dd86c790a04f734ba025fb5db283849227f976bdb60b9c9eb5d7611e",482   "language": "Python",483   "lines": 312,484   "truncated": false,485   "block": 7,486   "row": 4302487  },488  {489   "path": "distributed/rpc/pipeline/main.py",490   "sha256": "41e88ab324a09750a05debfa53808f9a305e686b38d81d27713189cbc64af319",491   "language": "Python",492   "lines": 288,493   "truncated": false,494   "block": 7,495   "row": 2557496  },497  {498   "path": "distributed/rpc/rl/main.py",499   "sha256": "f663a8895bfd3f0af66de380c7fb23a09f0a307180d0a0551776319a9ff09939",500   "language": "Python",501   "lines": 250,502   "truncated": false,503   "block": 7,504   "row": 2031505  },506  {507   "path": "distributed/rpc/rnn/main.py",508   "sha256": "98c34ea53277e59b3297e9ecfe43d37c271c22d2e69e5adb3d07a5de3ea46691",509   "language": "Python",510   "lines": 86,511   "truncated": false,512   "block": 6,513   "row": 34004514  },515  {516   "path": "distributed/rpc/rnn/rnn.py",517   "sha256": "8875d02d530390083acb9b3bfc8533b629b3b13d0fc9880a2e00191cab8f0320",518   "language": "Python",519   "lines": 106,520   "truncated": false,521   "block": 6,522   "row": 37935523  },524  {525   "path": "distributed/tensor_parallelism/fsdp_tp_example.py",526   "sha256": "4194b28d33a35bb9d6c6026f58ab4a4e87ab2e259caa1c500c30c6b806dede66",527   "language": "Python",528   "lines": 178,529   "truncated": false,530   "block": 6,531   "row": 43536532  },533  {534   "path": "distributed/tensor_parallelism/llama2_model.py",535   "sha256": "f95b5fcc592e181153872a9175676fbcb5f37697f64264ffe91ed802e9494eac",536   "language": "Python",537   "lines": 462,538   "truncated": false,539   "block": 7,540   "row": 7303541  },542  {543   "path": "distributed/tensor_parallelism/log_utils.py",544   "sha256": "57ab033bd4c0d67fd55e8ffc23164ccafe87034aea82f4ca8f1a994ef01adb04",545   "language": "Python",546   "lines": 22,547   "truncated": false,548   "block": 6,549   "row": 23404550  },551  {552   "path": "distributed/tensor_parallelism/run_example.sh",553   "sha256": "ed74161aa75a8c31eafa4ab79fff16967396479bfe3e28b49299e753fb98d9dd",554   "language": "Shell",555   "lines": 13,556   "truncated": false,557   "block": 8,558   "row": 7047559  },560  {561   "path": "distributed/tensor_parallelism/sequence_parallel_example.py",562   "sha256": "dc8a1d6aecac3b7cae9c734013f5ff36252fabc2bb7a9cb6925b35013e07d3c2",563   "language": "Python",564   "lines": 113,565   "truncated": false,566   "block": 6,567   "row": 36864568  },569  {570   "path": "distributed/tensor_parallelism/tensor_parallel_example.py",571   "sha256": "bec82850ab873b31a79814fb71ce74852d28e1d5a3a9d21bffcdd7e6d4d4bce0",572   "language": "Python",573   "lines": 127,574   "truncated": false,575   "block": 6,576   "row": 38715577  },578  {579   "path": "docs/source/conf.py",580   "sha256": "caedf45423cdec3360be3c1b19b4132a0623659e98361d96f78a8a69582fc582",581   "language": "Python",582   "lines": 76,583   "truncated": false,584   "block": 6,585   "row": 34552586  },587  {588   "path": "fast_neural_style/download_saved_models.py",589   "sha256": "8a675774f07515cecfda8242f5c5e4b18b196c84b142129cce7e3b1c42bf4b4d",590   "language": "Python",591   "lines": 28,592   "truncated": false,593   "block": 6,594   "row": 25151595  },596  {597   "path": "fast_neural_style/neural_style/neural_style.py",598   "sha256": "8d8beb57fe24e71c452e925ebf30ed1ad0c4a9cfd5cfa7bc4b6b7b41f1b6e22d",599   "language": "Python",600   "lines": 261,601   "truncated": false,602   "block": 7,603   "row": 3700604  },605  {606   "path": "fast_neural_style/neural_style/transformer_net.py",607   "sha256": "cd280fd7b34895819a8d89ca4867b806c52d46b7311cf8c01cf865b3d77cf052",608   "language": "Python",609   "lines": 99,610   "truncated": false,611   "block": 6,612   "row": 38175613  },614  {615   "path": "fast_neural_style/neural_style/utils.py",616   "sha256": "aa1029dcb69e6047dba590367bf29b45c7153c0f8245a1cceec28d10dd7ca9c5",617   "language": "Python",618   "lines": 34,619   "truncated": false,620   "block": 6,621   "row": 25538622  },623  {624   "path": "fast_neural_style/neural_style/vgg.py",625   "sha256": "46809081c63f697166d4af24d43c887c9088130c93055f7f23e93ce5f5d9e37e",626   "language": "Python",627   "lines": 38,628   "truncated": false,629   "block": 6,630   "row": 28379631  },632  {633   "path": "fx/custom_tracer.py",634   "sha256": "74a8e30acad9dcdfca1b99aa35c5a7ee128741247f9342c95d28b14cbc759c41",635   "language": "Python",636   "lines": 116,637   "truncated": false,638   "block": 6,639   "row": 39260640  },641  {642   "path": "fx/inline_function.py",643   "sha256": "2e1960d0a5f637772cfba4d4b99ec0f064f7e98eb81382c7feb5badf49e9d782",644   "language": "Python",645   "lines": 70,646   "truncated": false,647   "block": 6,648   "row": 36462649  },650  {651   "path": "fx/invert.py",652   "sha256": "8a754f43b2e3c480f142a25c74bd9572c174ba07688b93e836c57779e1bababf",653   "language": "Python",654   "lines": 62,655   "truncated": false,656   "block": 6,657   "row": 32554658  },659  {660   "path": "fx/module_tracer.py",661   "sha256": "024b940ca8638cde5b976b34e8d5d098c638355e4cb311e2f9a298c2af3be210",662   "language": "Python",663   "lines": 148,664   "truncated": false,665   "block": 6,666   "row": 44415667  },668  {669   "path": "fx/native_interpreter/interpreter.cpp",670   "sha256": "93e5a32cb49b967bb3986c5e2a2b5cc449a2f18babc66227f51396c5a6bdc881",671   "language": "C++",672   "lines": 179,673   "truncated": false,674   "block": 5,675   "row": 3861676  },677  {678   "path": "fx/native_interpreter/use_interpreter.py",679   "sha256": "834e773b631e1c21e5d1d7f0196e0f810fa606fa32f43886f7b1bb5bbb47b7bb",680   "language": "Python",681   "lines": 129,682   "truncated": false,683   "block": 6,684   "row": 41612685  },686  {687   "path": "fx/primitive_library.py",688   "sha256": "4abd2f7a4d1fa5351903aa63239dad35623b97923b63da3662cb11e7b94eaccb",689   "language": "Python",690   "lines": 166,691   "truncated": false,692   "block": 6,693   "row": 43952694  },695  {696   "path": "fx/profiling_tracer.py",697   "sha256": "5de1285fd8dfb45ed1448121ee80a15d4ae1ffe88f4ce45e21a96418ceb9aa1f",698   "language": "Python",699   "lines": 119,700   "truncated": false,701   "block": 6,702   "row": 43284703  },704  {705   "path": "fx/proxy_based_graph_creation.py",706   "sha256": "63190261092d5401dba06efea300f2e221cca5219eaf70381f53427f5f65e2a2",707   "language": "Python",708   "lines": 65,709   "truncated": false,710   "block": 6,711   "row": 32422712  },713  {714   "path": "fx/replace_op.py",715   "sha256": "9a2a5d3f0542a5ce896e65b829fa7c48310dc7f0445e7ab11691ac0acee86dcc",716   "language": "Python",717   "lines": 63,718   "truncated": false,719   "block": 6,720   "row": 33770721  },722  {723   "path": "fx/subgraph_rewriter_basic_use.py",724   "sha256": "db5c3a7e9763367fd4e915671e90f22231d0fbd13029711c8e6918de5d2ba79f",725   "language": "Python",726   "lines": 72,727   "truncated": false,728   "block": 6,729   "row": 34014730  },731  {732   "path": "fx/wrap_output_dynamically.py",733   "sha256": "8276e52aa5e2a589bae40adcffd37b5413dbddab83c72b11c0ff593673403441",734   "language": "Python",735   "lines": 85,736   "truncated": false,737   "block": 6,738   "row": 34626739  },740  {741   "path": "gat/main.py",742   "sha256": "9496f0ab2aa58666129b2edda64c08c6d5439c9a0e96448ee1456d121447c167",743   "language": "Python",744   "lines": 371,745   "truncated": false,746   "block": 7,747   "row": 7074748  },749  {750   "path": "gcn/main.py",751   "sha256": "152157088c7ac6c048aa28a4e69b3b59d68503bf24df96464054fdea7cacd76b",752   "language": "Python",753   "lines": 256,754   "truncated": false,755   "block": 7,756   "row": 4407757  },758  {759   "path": "imagenet/extract_ILSVRC.sh",760   "sha256": "9493255c7d723c2d048fc83eaed3d7dcafa7fde4b91f6f16162fb94ea3f6fc95",761   "language": "Shell",762   "lines": 80,763   "truncated": false,764   "block": 8,765   "row": 8675766  },767  {768   "path": "imagenet/main.py",769   "sha256": "f67ca2cd730bf91afe0504694abf07b88cbd03ac8c8a0426023620d29175c158",770   "language": "Python",771   "lines": 530,772   "truncated": false,773   "block": 7,774   "row": 8892775  },776  {777   "path": "language_translation/main.py",778   "sha256": "00ec9d141553d4974afea7eee81061f752b0050e9520362f9c41e7478a80be57",779   "language": "Python",780   "lines": 306,781   "truncated": false,782   "block": 7,783   "row": 3637784  },785  {786   "path": "language_translation/src/data.py",787   "sha256": "8b755a8ac78bdcfe1be0a229ed8a4358051e7e7b013e4bfde5640b6c28348119",788   "language": "Python",789   "lines": 134,790   "truncated": false,791   "block": 6,792   "row": 41499793  },794  {795   "path": "language_translation/src/model.py",796   "sha256": "d5171376560e4762d469d8bb395e0aa7cabfb6e2cb4507597125bc3a04f2970d",797   "language": "Python",798   "lines": 98,799   "truncated": false,800   "block": 6,801   "row": 35351802  },803  {804   "path": "legacy/snli/model.py",805   "sha256": "ef862b48d3d4dd76a6eb096f32c6d88d766388300fc8bb24b95d2856324ea722",806   "language": "Python",807   "lines": 76,808   "truncated": false,809   "block": 6,810   "row": 34634811  },812  {813   "path": "legacy/snli/train.py",814   "sha256": "331b941fddfe50497608b42a6147b755f3215015982ac48d2237a284300d8245",815   "language": "Python",816   "lines": 146,817   "truncated": false,818   "block": 6,819   "row": 42069820  },821  {822   "path": "legacy/snli/util.py",823   "sha256": "cbf3ce6be3d6a2e59dc65293a37ee0dee2bdc7aa205798c8a9efd121bf36c536",824   "language": "Python",825   "lines": 71,826   "truncated": false,827   "block": 6,828   "row": 38458829  },830  {831   "path": "mnist/main.py",832   "sha256": "30a3359d1911d2d859dd090ce20be7ed132a33f508dc389f40366010b3e9ecc8",833   "language": "Python",834   "lines": 141,835   "truncated": false,836   "block": 6,837   "row": 42141838  },839  {840   "path": "mnist_forward_forward/main.py",841   "sha256": "564b744cfaaf3b9cf5107526753cc098120aada8c187c852fa5fe0f57ef45341",842   "language": "Python",843   "lines": 174,844   "truncated": false,845   "block": 6,846   "row": 43032847  },848  {849   "path": "mnist_hogwild/main.py",850   "sha256": "ae3d2ccedb48f803176810ff5f4badef9a4a9040d6f1f10a5f5d30312185c865",851   "language": "Python",852   "lines": 105,853   "truncated": false,854   "block": 6,855   "row": 39351856  },857  {858   "path": "mnist_hogwild/train.py",859   "sha256": "f0bf273c747e4e9e2cdb96b459880d38b15d66ea2c57bde7037a1defeb00c8d7",860   "language": "Python",861   "lines": 56,862   "truncated": false,863   "block": 6,864   "row": 31992865  },866  {867   "path": "mnist_rnn/main.py",868   "sha256": "ebd462cfda1fc8ace2160e8a99e6f97125802e645f924c049ed5e63a0666b019",869   "language": "Python",870   "lines": 142,871   "truncated": false,872   "block": 6,873   "row": 42684874  },875  {876   "path": "regression/main.py",877   "sha256": "87ba43405ca6df6ef1e24e6ee85bfb0cfff95df3bbaf5794d4662308184a90a0",878   "language": "Python",879   "lines": 68,880   "truncated": false,881   "block": 6,882   "row": 29754883  },884  {885   "path": "reinforcement_learning/actor_critic.py",886   "sha256": "8575b51aec93f5d069be84cf6017f470851dbcb630409f0e29a7981f38014863",887   "language": "Python",888   "lines": 181,889   "truncated": false,890   "block": 6,891   "row": 42100892  },893  {894   "path": "reinforcement_learning/reinforce.py",895   "sha256": "41db0a9af332bfb6018b9223c39cf7827f93a7c93aa92bfa0848b82442ca3e31",896   "language": "Python",897   "lines": 107,898   "truncated": false,899   "block": 6,900   "row": 37065901  },902  {903   "path": "run_cpp_examples.sh",904   "sha256": "5e21a367797263df353830188d03a49f05766f1596424efb8e91edcb729c37b9",905   "language": "Shell",906   "lines": 183,907   "truncated": false,908   "block": 8,909   "row": 8973910  },911  {912   "path": "run_distributed_examples.sh",913   "sha256": "acdd55d7fca3886f04b984cea2c73562b08c1eeda403d44dd3be8afe4cff44b5",914   "language": "Shell",915   "lines": 101,916   "truncated": false,917   "block": 8,918   "row": 8770919  },920  {921   "path": "run_python_examples.sh",922   "sha256": "874417516aa435d60490b1d32dfa94a416f1225c35f29a3c89f60ee8a0c23e51",923   "language": "Shell",924   "lines": 247,925   "truncated": false,926   "block": 8,927   "row": 9255928  },929  {930   "path": "siamese_network/main.py",931   "sha256": "3d02a5162bfade18f66fc43abcbfe7e23091d626a1e3a71bb782f65a156c0d4e",932   "language": "Python",933   "lines": 302,934   "truncated": false,935   "block": 7,936   "row": 5260937  },938  {939   "path": "super_resolution/data.py",940   "sha256": "7eebeb0f86e9b12d2e669d716143224016c75d1cefcb4817b541983706e21a14",941   "language": "Python",942   "lines": 70,943   "truncated": false,944   "block": 6,945   "row": 32015946  },947  {948   "path": "super_resolution/dataset.py",949   "sha256": "a831be1fbd0bb37965e656e6d3768b199bebac9e3366ed038d886ae55ad3844a",950   "language": "Python",951   "lines": 37,952   "truncated": false,953   "block": 6,954   "row": 26111955  },956  {957   "path": "super_resolution/main.py",958   "sha256": "acdcf648d0da4f5c441f8b97c82a140eeed2a248444a9945de1ec3315ff424cb",959   "language": "Python",960   "lines": 84,961   "truncated": false,962   "block": 6,963   "row": 36133964  },965  {966   "path": "super_resolution/model.py",967   "sha256": "02edbd87555c4a99136572cc03e27a3b73ecef09127fb00c8ac2e3ac1f6c289c",968   "language": "Python",969   "lines": 30,970   "truncated": false,971   "block": 6,972   "row": 25945973  },974  {975   "path": "super_resolution/super_resolve.py",976   "sha256": "bc3f58f5a5fa906d4820cee7fe73926e226fc536a5ce5b50e8d62e2b3b469989",977   "language": "Python",978   "lines": 52,979   "truncated": false,980   "block": 6,981   "row": 30465982  },983  {984   "path": "time_sequence_prediction/generate_sine_wave.py",985   "sha256": "629c758dd5edd5695f75809978596ce07176bc45cc28d95161c9348277cb1718",986   "language": "Python",987   "lines": 13,988   "truncated": false,989   "block": 6,990   "row": 21605991  },992  {993   "path": "time_sequence_prediction/train.py",994   "sha256": "3a5d6603cecf7bbf76f96a515dc6c9377849adeefe783edaf6f661bd02e80330",995   "language": "Python",996   "lines": 90,997   "truncated": false,998   "block": 6,999   "row": 368871000  },1001  {1002   "path": "utils.sh",1003   "sha256": "663dfcaefcec4b39799de68b7e025d0369cf1e403eb640827e65c5cb7daf8f27",1004   "language": "Shell",1005   "lines": 55,1006   "truncated": false,1007   "block": 8,1008   "row": 81901009  },1010  {1011   "path": "vae/main.py",1012   "sha256": "366116e8252ac68ef1f180cce0b3c017f5a957595d863c8d4904210a80cdab6d",1013   "language": "Python",1014   "lines": 139,1015   "truncated": false,1016   "block": 6,1017   "row": 410671018  },1019  {1020   "path": "word_language_model/data.py",1021   "sha256": "15784815a6bd18e9b25eadf6ae049915f88d4fb8faebeba9d83ae6ec8e19883d",1022   "language": "Python",1023   "lines": 48,1024   "truncated": false,1025   "block": 6,1026   "row": 290021027  },1028  {1029   "path": "word_language_model/generate.py",1030   "sha256": "32ea1e204619ae0e15d2f67365bccbf39805099c5f16a7323c9baa964e951d49",1031   "language": "Python",1032   "lines": 96,1033   "truncated": false,1034   "block": 6,1035   "row": 384601036  },1037  {1038   "path": "word_language_model/main.py",1039   "sha256": "391de12bb7c6e07dbb105d47d017632bf80c01d2e5b25adbf83da9cdcdd5a862",1040   "language": "Python",1041   "lines": 290,1042   "truncated": false,1043   "block": 7,1044   "row": 43281045  },1046  {1047   "path": "word_language_model/model.py",1048   "sha256": "e4451a33e9b16953004bc639d736d14f42a2b21f2939ccabe4cff10d3c40b74c",1049   "language": "Python",1050   "lines": 144,1051   "truncated": false,1052   "block": 6,1053   "row": 432581054  }1055 ]1056}