{ "format": "oscr-script-manifest/1", "repository": "github.com/google/flax", "url": "http://github.com/google/flax", "host": "github.com", "commit": "81b168d62f151feca9e8e7abc591df80168395b4", "license": "Apache-2.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": ".github/analytics/get_repo_metrics.py", "sha256": "a99e73524c45632391386d83c2a242621312bcf7f488dc2d145af44e7c010fce", "language": "Python", "lines": 440, "truncated": false, "block": 23, "row": 11817 }, { "path": "LICENSE", "sha256": "25e8791da26f7e74c4baf19eafd7d137b64a46952ef840ed01c172b680cf4046", "language": "License", "lines": 200, "truncated": false, "block": 22, "row": 14166 }, { "path": "README.md", "sha256": "b20519acb9540abd14ba4e7ff2419e435c6bec19bcdb9ac65adcc846176943c3", "language": "Text", "lines": 172, "truncated": false, "block": 24, "row": 852 }, { "path": "benchmarks/nnx_graph_overhead.py", "sha256": "0ef2814c067fe36e59a0508283916d7da9aef37ebbc45d9d84f363037a195148", "language": "Python", "lines": 169, "truncated": false, "block": 23, "row": 6343 }, { "path": "benchmarks/nnx_mlpmixer_training.py", "sha256": "4ae33d51a74894197f043d3b358383326046e03c58d2f153a82e4612612289b8", "language": "Python", "lines": 239, "truncated": false, "block": 23, "row": 8089 }, { "path": "benchmarks/nnx_simple_training.py", "sha256": "8e6499e5a6e11df87fe848beb4f8e25dad338257426afce8f775d60b420c1573", "language": "Python", "lines": 260, "truncated": false, "block": 23, "row": 8651 }, { "path": "benchmarks/nnx_state_traversal.py", "sha256": "ebc7d0e35521dc9fa1bef704b362f93d668b983cf3e5d988b32cd79befd25496", "language": "Python", "lines": 106, "truncated": false, "block": 23, "row": 3814 }, { "path": "benchmarks/tracing/__init__.py", "sha256": "e12de960dba2c3acb33e634d9b68918b8d3f25ff719478fea0845bf46a78b319", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 7074 }, { "path": "benchmarks/tracing/gemma.py", "sha256": "9b811c93d316b4005aa8d306229809b0d124d9c78f2e6434d7aa545e3807d39d", "language": "Python", "lines": 258, "truncated": false, "block": 23, "row": 8911 }, { "path": "benchmarks/tracing/imagenet.py", "sha256": "3b20963278cd64c09abdb8ed293050deadbbcc077955f99db13013ae99d688f1", "language": "Python", "lines": 255, "truncated": false, "block": 23, "row": 8624 }, { "path": "benchmarks/tracing/lm1b.py", "sha256": "c3b26010874ddb11c640f9999e8b8ae532009b94c505e4fcddc0b43ca8ba5f98", "language": "Python", "lines": 254, "truncated": false, "block": 23, "row": 8767 }, { "path": "benchmarks/tracing/mnist.py", "sha256": "35b9321f0760cf0c005db7ccf86d4d9982b59208ef5ac7bd1f388ddb44e23586", "language": "Python", "lines": 97, "truncated": false, "block": 23, "row": 3587 }, { "path": "benchmarks/tracing/nlp_seq.py", "sha256": "66058cc2a6032ee239fae51a5d15d56e4ed7e677db681191a59200484bf8d66a", "language": "Python", "lines": 242, "truncated": false, "block": 23, "row": 8249 }, { "path": "benchmarks/tracing/ogbg_molpcba.py", "sha256": "4df5f054c6287a1c677993f37b56e35ea269ce63d443fefd0dd406fb21a1e652", "language": "Python", "lines": 227, "truncated": false, "block": 23, "row": 8281 }, { "path": "benchmarks/tracing/ppo.py", "sha256": "025711b011a2dbf0e49f1e631a5b587ac57a1c67e003e206ffcc6f2e8fb15292", "language": "Python", "lines": 131, "truncated": false, "block": 23, "row": 4794 }, { "path": "benchmarks/tracing/run_all_benchmarks.sh", "sha256": "84adad879681a2f7eb18622ee12dc5df1a7f752ad0e10658b9608b59b62c558d", "language": "Shell", "lines": 26, "truncated": false, "block": 23, "row": 17429 }, { "path": "benchmarks/tracing/seq2seq.py", "sha256": "4d6684d83773ca9bf652c0188680226dcf0ed5b4a10dfe3b30b3cdf832974a0b", "language": "Python", "lines": 129, "truncated": false, "block": 23, "row": 4903 }, { "path": "benchmarks/tracing/sst2.py", "sha256": "0c0aa3f628b42138d5a55d71f7823d6fb3c418382d2bc81f26a567d3bed4b9ef", "language": "Python", "lines": 167, "truncated": false, "block": 23, "row": 6465 }, { "path": "benchmarks/tracing/tracing_benchmark.py", "sha256": "ef6feee854099e4d925dc3ff6cb1ad6a385173762a125562b076d78f9dc25825", "language": "Python", "lines": 95, "truncated": false, "block": 23, "row": 2970 }, { "path": "benchmarks/tracing/vae.py", "sha256": "7fa59f58d38ed71d0bfaf13d103eeb73ba2990ea426b888d5d1ce3d0a0a9302b", "language": "Python", "lines": 98, "truncated": false, "block": 23, "row": 3211 }, { "path": "benchmarks/tracing/wmt.py", "sha256": "1be319cb1a6b6dffffda05e90b857c9cd808e7e3e8bcc5311d4deaec452275b1", "language": "Python", "lines": 313, "truncated": false, "block": 23, "row": 9722 }, { "path": "docs/_ext/codediff.py", "sha256": "ac16f9ddf24af46e98091df06e83b8778cd15bae2a445be16e9624fbcfa3fa76", "language": "Python", "lines": 221, "truncated": false, "block": 23, "row": 8436 }, { "path": "docs/_ext/codediff_test.py", "sha256": "8b8717cbeba50010ccf8806b612c672108c53c4c301fb05e4af90afb5a26fafe", "language": "Python", "lines": 120, "truncated": false, "block": 23, "row": 5152 }, { "path": "docs/_ext/flax_module.py", "sha256": "4a18f56f4ab83dee3cb1344b17985924374241595c9739a8fb353bb8008b1ba3", "language": "Python", "lines": 87, "truncated": false, "block": 23, "row": 2039 }, { "path": "docs/conf.py", "sha256": "3cb786fe0fe21d76a0c1aabbdb39c996acb1c7bbbf1cb762ad9a2366e0c5bd3c", "language": "Python", "lines": 190, "truncated": false, "block": 23, "row": 7648 }, { "path": "docs/conf_sphinx_patch.py", "sha256": "3425e15890f250bb2fcc2df062c75a2001e28fe3aef36352b49c2002d4fd9556", "language": "Python", "lines": 200, "truncated": false, "block": 23, "row": 7961 }, { "path": "docs/guides/data_preprocessing/loading_datasets.ipynb", "sha256": "37c7960bf1fb7ccbad8c136cfee64b579e8303d7484ed1315c92a286a3666f8e", "language": "Jupyter", "lines": 120, "truncated": false, "block": 22, "row": 12801 }, { "path": "docs/guides/flax_fundamentals/flax_basics.ipynb", "sha256": "7ae4498b7e756a00bff12cfecc69abee7261a5683d0084be94018d38a38890fa", "language": "Jupyter", "lines": 424, "truncated": false, "block": 22, "row": 13582 }, { "path": "docs/guides/flax_fundamentals/rng_guide.ipynb", "sha256": "c0566249742741d88f601d3041de337805e8f1cbb4fe88c09d1149eb960bedac", "language": "Jupyter", "lines": 688, "truncated": false, "block": 22, "row": 13672 }, { "path": "docs/guides/flax_sharp_bits.ipynb", "sha256": "66c5d267020bba24d3a8cda70c04fb35561534ef32704a6777355adf947063f4", "language": "Jupyter", "lines": 87, "truncated": false, "block": 22, "row": 12919 }, { "path": "docs/guides/model_inspection/model_surgery.ipynb", "sha256": "1ddc1737b57e2e1066777bb36e1947a4e181119dfbe1c69059587009094b150a", "language": "Jupyter", "lines": 123, "truncated": false, "block": 22, "row": 12777 }, { "path": "docs/guides/parallel_training/flax_on_pjit.ipynb", "sha256": "475b0b18fcee845c2b818b10567228ffd729f14401d4e688626fb65b0656740b", "language": "Jupyter", "lines": 458, "truncated": false, "block": 22, "row": 13638 }, { "path": "docs/guides/quantization/fp8_basics.ipynb", "sha256": "4738defc4a85fd07b7d8b4b1ec922158fc5e0d6d93f7df6015fdd3916a23c030", "language": "Jupyter", "lines": 346, "truncated": false, "block": 22, "row": 13387 }, { "path": "docs/guides/training_techniques/transfer_learning.ipynb", "sha256": "943b516f8f342462b5f369472e7bc81e3a0b74a0c85f137c8ed27256ed7542b1", "language": "Jupyter", "lines": 163, "truncated": false, "block": 22, "row": 13066 }, { "path": "docs/guides/training_techniques/use_checkpointing.ipynb", "sha256": "95ac3faf2d6bff74bde44db9061e4f25c63014e6f3bcf7f27259ccb1653ced99", "language": "Jupyter", "lines": 476, "truncated": false, "block": 22, "row": 13651 }, { "path": "docs/linen_intro.ipynb", "sha256": "96999e9c0c80e0af4c29edb28f69dd1b1602eef54fd0fe648027837b1e84ba6f", "language": "Jupyter", "lines": 536, "truncated": false, "block": 22, "row": 13586 }, { "path": "docs/quick_start.ipynb", "sha256": "6f48b81b61639506e0739c881589e082bac8e9ccbec3f5ebc613bf9917ee7dfa", "language": "Jupyter", "lines": 326, "truncated": false, "block": 22, "row": 13412 }, { "path": "docs_nnx/_ext/codediff.py", "sha256": "ac16f9ddf24af46e98091df06e83b8778cd15bae2a445be16e9624fbcfa3fa76", "language": "Python", "lines": 221, "truncated": false, "block": 23, "row": 8436 }, { "path": "docs_nnx/_ext/codediff_test.py", "sha256": "8b8717cbeba50010ccf8806b612c672108c53c4c301fb05e4af90afb5a26fafe", "language": "Python", "lines": 120, "truncated": false, "block": 23, "row": 5152 }, { "path": "docs_nnx/_ext/flax_module.py", "sha256": "4a18f56f4ab83dee3cb1344b17985924374241595c9739a8fb353bb8008b1ba3", "language": "Python", "lines": 87, "truncated": false, "block": 23, "row": 2039 }, { "path": "docs_nnx/conf.py", "sha256": "56a089d64f494c767e77a388a7f393d449eaf941e1741dd294a76dac6359a978", "language": "Python", "lines": 195, "truncated": false, "block": 23, "row": 7875 }, { "path": "docs_nnx/conf_sphinx_patch.py", "sha256": "3425e15890f250bb2fcc2df062c75a2001e28fe3aef36352b49c2002d4fd9556", "language": "Python", "lines": 200, "truncated": false, "block": 23, "row": 7961 }, { "path": "docs_nnx/examples/digits_diffusion_model.ipynb", "sha256": "11d8845035b947b1b7eae19fe7cd60df32ccc87b393b16736398ff1f0b1da41e", "language": "Jupyter", "lines": 428, "truncated": false, "block": 22, "row": 13570 }, { "path": "docs_nnx/examples/gemma.ipynb", "sha256": "74e6c3a34507b0cb0ef79b420bf028cb4b9ee90def4d296f9a70c7b522a9850b", "language": "Jupyter", "lines": 145, "truncated": false, "block": 22, "row": 13008 }, { "path": "docs_nnx/examples/image_segmentation.ipynb", "sha256": "dd832a58ff4a3f3111a29aff679a7cf156c2b8bdaead6f0bb0596bbe08e43107", "language": "Jupyter", "lines": 1392, "truncated": false, "block": 22, "row": 13772 }, { "path": "docs_nnx/examples/machine_translation.ipynb", "sha256": "014768f6f6af0a1aeb5e29200dba6e72eda344def9c61c0f966a92974c16a561", "language": "Jupyter", "lines": 566, "truncated": false, "block": 22, "row": 13641 }, { "path": "docs_nnx/examples/minigpt.ipynb", "sha256": "e5731e764f5ab78edb8aaeb00b7ea769c03b3e63af2c10936da67524bc694137", "language": "Jupyter", "lines": 490, "truncated": false, "block": 22, "row": 13592 }, { "path": "docs_nnx/examples/object_detection_detr.ipynb", "sha256": "2c51246c2025be3495c7d427bbc8f24ad4d907eea9309a4caef65d209161c3ac", "language": "Jupyter", "lines": 298, "truncated": true, "block": 22, "row": 13841 }, { "path": "docs_nnx/examples/vit_training.ipynb", "sha256": "9f2019786318945371a0519537fcf19c0e65022f3ec01d42c7277b9af7306f6f", "language": "Jupyter", "lines": 870, "truncated": false, "block": 22, "row": 13710 }, { "path": "docs_nnx/guides/bridge_guide.ipynb", "sha256": "7de7a2dd0a152986ae30eb0a1924c8d2e118932c14fd574bdd95f184b15af430", "language": "Jupyter", "lines": 480, "truncated": false, "block": 22, "row": 13597 }, { "path": "docs_nnx/guides/checkpointing.ipynb", "sha256": "bc8d6d64e039f2c44ddb2b7cec683ab9c9d33880922284048d016592032c881a", "language": "Jupyter", "lines": 208, "truncated": false, "block": 22, "row": 13829 }, { "path": "docs_nnx/guides/data_loaders.ipynb", "sha256": "86776da593ea38feb4dd2bbc778444cb9dc0d08a100966a767f47d5860ca4ddd", "language": "Jupyter", "lines": 187, "truncated": false, "block": 22, "row": 13122 }, { "path": "docs_nnx/guides/demo.ipynb", "sha256": "9d75f68232d2ba183d50e211640dd3f7c0c8ac7518cb5eed36c211c829c22e4d", "language": "Jupyter", "lines": 144, "truncated": false, "block": 22, "row": 12726 }, { "path": "docs_nnx/guides/extracting_intermediates.ipynb", "sha256": "4c655111ff70c4c19c6e6f6b1945355ad84b93d119ac203d470db4baea657ccb", "language": "Jupyter", "lines": 250, "truncated": false, "block": 22, "row": 13345 }, { "path": "docs_nnx/guides/filters_guide.ipynb", "sha256": "fc05dfec9f5207cf2b3721ec1a38225e55e8578b175197555e6c71b9c10a0a07", "language": "Jupyter", "lines": 190, "truncated": false, "block": 22, "row": 13185 }, { "path": "docs_nnx/guides/flax_gspmd.ipynb", "sha256": "4dc909331709226fc6b167f5850cc3da64ebb4adc7b7fb1b4e4a422f2927818b", "language": "Jupyter", "lines": 396, "truncated": false, "block": 22, "row": 13561 }, { "path": "docs_nnx/guides/optimization_cookbook.ipynb", "sha256": "fee7f5b07d2d0bff1094a59335e67af0f767fc5a05df6c92b689cdc727496fe5", "language": "Jupyter", "lines": 220, "truncated": false, "block": 22, "row": 13032 }, { "path": "docs_nnx/guides/performance.ipynb", "sha256": "2702ad9e6e82b5be84854c19b2cf674ef3f290fb1460504c078339e6e7e14478", "language": "Jupyter", "lines": 117, "truncated": false, "block": 22, "row": 13012 }, { "path": "docs_nnx/guides/pytree.ipynb", "sha256": "2d895663391308464e5349d901ab8407c66825543da2b7d2eb323cff0c23dd24", "language": "Jupyter", "lines": 505, "truncated": false, "block": 22, "row": 13532 }, { "path": "docs_nnx/guides/randomness.ipynb", "sha256": "79bdc52d338aa6317cd7949f48349ba9f57ebd95925b36ed01bbce248b50eb38", "language": "Jupyter", "lines": 312, "truncated": false, "block": 22, "row": 13493 }, { "path": "docs_nnx/guides/surgery.ipynb", "sha256": "28f38931ac6d627bda89f3f18d1fadadd93a8317bbaaadc59cf83cb093fd233e", "language": "Jupyter", "lines": 223, "truncated": false, "block": 22, "row": 13207 }, { "path": "docs_nnx/guides/tiny_nnx.ipynb", "sha256": "f7603806f7504f890f65c5f8224c0d003fba94c68b37c6663e951ff674347d6e", "language": "Jupyter", "lines": 358, "truncated": false, "block": 22, "row": 13216 }, { "path": "docs_nnx/guides/transforms.ipynb", "sha256": "4fe7152a0e33b6dae3c937b9dc58bf3811b1aaa517a066fa21edea030dc4e4ec", "language": "Jupyter", "lines": 406, "truncated": false, "block": 22, "row": 13580 }, { "path": "docs_nnx/guides/view.ipynb", "sha256": "83bb894e706d2f9c886dd38659c3fd279765a810057145f43dee4ce55094796b", "language": "Jupyter", "lines": 338, "truncated": false, "block": 22, "row": 13469 }, { "path": "docs_nnx/hijax/hijax.ipynb", "sha256": "d621ee1285a74e8cc6b0093623e54ff74f6615b4339414b2e18328d8d1b9d693", "language": "Jupyter", "lines": 271, "truncated": false, "block": 22, "row": 12911 }, { "path": "docs_nnx/key_concepts.ipynb", "sha256": "a9598da3d58f7c28c297ee841e7d2aba47f4b51a6e6d529abd07f55919323c7d", "language": "Jupyter", "lines": 215, "truncated": false, "block": 22, "row": 13328 }, { "path": "docs_nnx/mnist_tutorial.ipynb", "sha256": "926ac2f48b9f95035aa6ee95cf3bd583226b4b0a2d4318e032c41e2a9cbe0c2f", "language": "Jupyter", "lines": 267, "truncated": false, "block": 22, "row": 13386 }, { "path": "docs_nnx/nnx_basics.ipynb", "sha256": "f2fb7a702adc4bab4fa258bfafaed419b8e4b45fe9a3eae3a4e8e13049f68207", "language": "Jupyter", "lines": 312, "truncated": false, "block": 22, "row": 13466 }, { "path": "examples/__init__.py", "sha256": "8642bbbe77864a965e977265c80b972defad8208b1d5d93a36c498c2141739d1", "language": "Python", "lines": 14, "truncated": false, "block": 22, "row": 27568 }, { "path": "examples/cloud/launch_gce.py", "sha256": "03687c4390390b51e76dcadd29fd833dfef75bb42b728d8f1671582adeddff8e", "language": "Python", "lines": 305, "truncated": false, "block": 23, "row": 9879 }, { "path": "examples/cloud/startup_script.sh", "sha256": "bb45eda8e3438a40568295109bfcbc5d2061a295e23266197c2c2d58f8efd3cd", "language": "Shell", "lines": 77, "truncated": false, "block": 23, "row": 18045 }, { "path": "examples/gemma/configs/benchmarks/gemma3_1b_grain.py", "sha256": "0700c88c836e4fd3cbbf622fe70ed4633e25071b6c21778693118052197a23f7", "language": "Python", "lines": 110, "truncated": false, "block": 23, "row": 4737 }, { "path": "examples/gemma/configs/benchmarks/gemma3_1b_tf.py", "sha256": "98c5fd5113bcde557f9bf66475127f6e86ec85b454d0b5d2e554c725f1b3068d", "language": "Python", "lines": 110, "truncated": false, "block": 23, "row": 4736 }, { "path": "examples/gemma/configs/default.py", "sha256": "e510fdb3caeddcfdc817ec09c938cd1db982ff221cd82e44710c0b3eec0d7de0", "language": "Python", "lines": 121, "truncated": false, "block": 23, "row": 5441 }, { "path": "examples/gemma/configs/gemma3_270m.py", "sha256": "dd5b341b074e7f3ff3eab157dc8930d37ce05276009b8516662e0323825f8df6", "language": "Python", "lines": 121, "truncated": false, "block": 23, "row": 5547 }, { "path": "examples/gemma/configs/gemma3_270m_sow.py", "sha256": "933a24a9810bfa61776e70de91938c8c7ace06ab851e89ff7b60e1ee42a14c8d", "language": "Python", "lines": 129, "truncated": false, "block": 23, "row": 5777 }, { "path": "examples/gemma/configs/gemma3_4b.py", "sha256": "6cb55f9ef4d9cf8bde27e50aa3df9724479af9fb26262130a64c52d5ec80f146", "language": "Python", "lines": 121, "truncated": false, "block": 23, "row": 5439 }, { "path": "examples/gemma/configs/small.py", "sha256": "0dca0204b91429af361fde5fb974be0b471bfbf96d3753c58bc4e9223680f9e4", "language": "Python", "lines": 143, "truncated": false, "block": 23, "row": 6347 }, { "path": "examples/gemma/configs/tiny.py", "sha256": "25e46eeb8e8503980ba4501c97be0dbc3166a5be9aceafa73ec4e07df8e1ee96", "language": "Python", "lines": 134, "truncated": false, "block": 23, "row": 5982 }, { "path": "examples/gemma/helpers.py", "sha256": "b733b2143729f9fa4a25d277f2814e6e720231ecf9dc22a7cce1a23156c393e9", "language": "Python", "lines": 93, "truncated": false, "block": 23, "row": 3644 }, { "path": "examples/gemma/helpers_test.py", "sha256": "9c8d85a11f539975e10664a1e55150252e91b14d7c0b8849d9c457437419e6d2", "language": "Python", "lines": 150, "truncated": false, "block": 23, "row": 5751 }, { "path": "examples/gemma/input_pipeline.py", "sha256": "aea610506c653965c9086bb702f0c009c36a24f9ac741fe82603d2b372a07b7d", "language": "Python", "lines": 40, "truncated": false, "block": 22, "row": 29485 }, { "path": "examples/gemma/input_pipeline_grain.py", "sha256": "f11390723fde87bc882cf0ae720baf391b0338e6db7afd59e26fa8272fb4b8d3", "language": "Python", "lines": 291, "truncated": false, "block": 23, "row": 9893 }, { "path": "examples/gemma/input_pipeline_test.py", "sha256": "edbfd4fb7bef60308a3108404b966eddd489e4c92a5518915bbafc8c0bcdd6c1", "language": "Python", "lines": 132, "truncated": false, "block": 23, "row": 5633 }, { "path": "examples/gemma/input_pipeline_tf.py", "sha256": "4487846e835c93c40a40d74543f3f7c847d24908fef0f0bfa0b7fd0149ef9409", "language": "Python", "lines": 427, "truncated": false, "block": 23, "row": 11725 }, { "path": "examples/gemma/layers.py", "sha256": "cc67d292898abdc09ae8bb85053d7a236bbe12de76809fc46411853064829458", "language": "Python", "lines": 59, "truncated": false, "block": 23, "row": 1196 }, { "path": "examples/gemma/layers_test.py", "sha256": "2a52625442f7985e6373de983d91ce9d519bd419a87006f5a0c325e5307d9c09", "language": "Python", "lines": 35, "truncated": false, "block": 22, "row": 29416 }, { "path": "examples/gemma/main.py", "sha256": "07c92fcb79413901ff5d653ee5c3134767182c38a1db5b8df1666c2d43700f67", "language": "Python", "lines": 88, "truncated": false, "block": 23, "row": 3111 }, { "path": "examples/gemma/modules.py", "sha256": "f46be9406b59f777935bf9750fa2c79590d63ae1feaf5ff777646cc24e5f75e3", "language": "Python", "lines": 544, "truncated": false, "block": 23, "row": 12593 }, { "path": "examples/gemma/modules_test.py", "sha256": "8bc853410ac33cfcfea0641d3e1b3781986d44b01b82e29299ae1770d17038f9", "language": "Python", "lines": 454, "truncated": false, "block": 23, "row": 11527 }, { "path": "examples/gemma/params.py", "sha256": "e3af47abd9d13f1ca1b2246be0b2322859dd5412bf5b8f3f3b9ac70a176123ed", "language": "Python", "lines": 92, "truncated": false, "block": 23, "row": 3048 }, { "path": "examples/gemma/positional_embeddings.py", "sha256": "58ae97156969f8f417b437d1e5c6afd8fc7fdc796bec097dff0ab7d899dcf162", "language": "Python", "lines": 71, "truncated": false, "block": 23, "row": 2389 }, { "path": "examples/gemma/positional_embeddings_test.py", "sha256": "9a33640973c1a2596d139a41235d908a6e13b1173449ee4fe42f79244a22e670", "language": "Python", "lines": 79, "truncated": false, "block": 23, "row": 2841 }, { "path": "examples/gemma/sampler.py", "sha256": "7b0c532bc951e5551c4a86c27ebfafe87d3d530b91b1c49c0db1f2b1bebe9295", "language": "Python", "lines": 550, "truncated": false, "block": 23, "row": 12921 }, { "path": "examples/gemma/sampler_test.py", "sha256": "9ac24aa62c7448b3f78dd78502e000ee981c11bee40749c2d18dcabe91c02917", "language": "Python", "lines": 589, "truncated": false, "block": 23, "row": 13154 }, { "path": "examples/gemma/sow_lib.py", "sha256": "f9a8613fbf7a3ec68d664e9ba3184a94c5dc414102d3f1e503fd7cda79599a4b", "language": "Python", "lines": 259, "truncated": false, "block": 23, "row": 9676 }, { "path": "examples/gemma/tokenizer.py", "sha256": "bc769299e902f9c9dbd4edf51c8e8f46571f477a7c733870b60c4c7a09431f28", "language": "Python", "lines": 216, "truncated": false, "block": 23, "row": 8447 }, { "path": "examples/gemma/train.py", "sha256": "2a4bd9038f0fc91671ece85820486852fac75a01e538d3b88f379f3dd171c627", "language": "Python", "lines": 714, "truncated": false, "block": 23, "row": 13651 }, { "path": "examples/gemma/train_cfg.py", "sha256": "87504fed6ebb16fc726e5b4f4a9d156d4d6d1581f1daedf4ea73ccf16db2d4a4", "language": "Python", "lines": 127, "truncated": false, "block": 23, "row": 5356 }, { "path": "examples/gemma/transformer.py", "sha256": "6c17379eb1fc546ea68f752c3a5e8805314ee64ac47cd5f7500386704678efa6", "language": "Python", "lines": 252, "truncated": false, "block": 23, "row": 8804 }, { "path": "examples/gemma/transformer_cfg.py", "sha256": "0101dc6ff36513d5f3d25265f265f51e6022a3f7f812d49854e4887e0ccc71ec", "language": "Python", "lines": 605, "truncated": false, "block": 23, "row": 12955 }, { "path": "examples/gemma/transformer_test.py", "sha256": "7c73c2ae40372bd1e48bd00394241c7b5a22b7297e05115bb75a4217248be01b", "language": "Python", "lines": 591, "truncated": false, "block": 23, "row": 13007 }, { "path": "examples/imagenet/configs/default.py", "sha256": "7f421cb274c32af999ba46187db79d005e602388f74638b57301b35fe09f270c", "language": "Python", "lines": 60, "truncated": false, "block": 23, "row": 706 }, { "path": "examples/imagenet/configs/fake_data_benchmark.py", "sha256": "cc81746e5674ec6d3e7a737ebef1a1b03acfe2fc09cd6bfb0c3c764086490a41", "language": "Python", "lines": 34, "truncated": false, "block": 22, "row": 29092 }, { "path": "examples/imagenet/configs/tpu.py", "sha256": "655e666b7754a16f391f6d7bec74761249a1729845708814ada5fee0f5fdb016", "language": "Python", "lines": 33, "truncated": false, "block": 22, "row": 29040 }, { "path": "examples/imagenet/configs/v100_x8.py", "sha256": "4c5f3ebf212a692792daf1c6d972ecf71fbfcea63e8e3b157e086633f6c26d28", "language": "Python", "lines": 32, "truncated": false, "block": 22, "row": 28968 }, { "path": "examples/imagenet/configs/v100_x8_mixed_precision.py", "sha256": "99bb0402c112f483a9072125f3f168f208e031259d51b6b47afd9738bd9a863b", "language": "Python", "lines": 33, "truncated": false, "block": 22, "row": 29042 }, { "path": "examples/imagenet/imagenet.ipynb", "sha256": "13f996a4542f20419ff8aa53284c4c2754876709e528d77407a2bbe1a9bb6848", "language": "Jupyter", "lines": 350, "truncated": false, "block": 22, "row": 13311 }, { "path": "examples/imagenet/imagenet_benchmark.py", "sha256": "69ec9632576e9da4f4d691d04c12f0f454108a3470eac9787eade4e46be45696", "language": "Python", "lines": 102, "truncated": false, "block": 23, "row": 3919 }, { "path": "examples/imagenet/imagenet_fake_data_benchmark.py", "sha256": "0ecc532c634e097cd6c53860939fe33505e34ef64142d7744903fa55c7b629c3", "language": "Python", "lines": 65, "truncated": false, "block": 23, "row": 1822 }, { "path": "examples/imagenet/input_pipeline.py", "sha256": "566659dd4973f2879a3856b379dd21bfeba4bd7411f06a765484de185ee64df4", "language": "Python", "lines": 254, "truncated": false, "block": 23, "row": 9234 }, { "path": "examples/imagenet/main.py", "sha256": "0ad0328f396d9e50b8f1bf468fe2cc19d1b453252428fc7a2890aeb603589e63", "language": "Python", "lines": 69, "truncated": false, "block": 23, "row": 1702 }, { "path": "examples/imagenet/models.py", "sha256": "d3784cfa4d7dda64ba532a4793ff4112cd8bae584a9f00477c294e57e0b59e85", "language": "Python", "lines": 163, "truncated": false, "block": 23, "row": 5409 }, { "path": "examples/imagenet/models_test.py", "sha256": "3b636613e744fe59a1e6c135b108ba3199f91fc957dcf33f4722749db098b0bf", "language": "Python", "lines": 57, "truncated": false, "block": 23, "row": 1259 }, { "path": "examples/imagenet/train.py", "sha256": "aa4a8b3cf87f4467a5a3d3b785532274acf33766008a478cfe931240065f2593", "language": "Python", "lines": 428, "truncated": false, "block": 23, "row": 11401 }, { "path": "examples/imagenet/train_test.py", "sha256": "497d7ad8e037d85ef51a7983c2e7e4d3b6e02e29af2b2efd1bb24be4f5b59bc3", "language": "Python", "lines": 90, "truncated": false, "block": 23, "row": 3436 }, { "path": "examples/linen_design_test/attention_simple.py", "sha256": "c33b7432829d98cb62ebbb65df29505dd6737cb7f56fcdbff8202a09e593ac70", "language": "Python", "lines": 219, "truncated": false, "block": 23, "row": 7636 }, { "path": "examples/linen_design_test/autoencoder.py", "sha256": "d7f73e7eb3e94b8ecd7d847b88624f17007f3f5f6d11afdee50dea8f1c08ee36", "language": "Python", "lines": 100, "truncated": false, "block": 23, "row": 3662 }, { "path": "examples/linen_design_test/dense.py", "sha256": "af5b90a861b8ae9ed66c8873685b9804b7842730d396eaa64a774be2933005ec", "language": "Python", "lines": 40, "truncated": false, "block": 22, "row": 29457 }, { "path": "examples/linen_design_test/linear_regression.py", "sha256": "7fd126f949b58d0a296938840852c6ddebc8daa53322db88450269f734a10af4", "language": "Python", "lines": 51, "truncated": false, "block": 22, "row": 29559 }, { "path": "examples/linen_design_test/mlp_explicit.py", "sha256": "44861e9be23c4cde610ea3e5a69d6a493919430df39a3e0167fbb2fb767e7bea", "language": "Python", "lines": 67, "truncated": false, "block": 23, "row": 2060 }, { "path": "examples/linen_design_test/mlp_inline.py", "sha256": "c2ebb4dbc474df57124a55c8eb91fef29206a8c730dc42ee3c9105381912fcb5", "language": "Python", "lines": 52, "truncated": false, "block": 23, "row": 1151 }, { "path": "examples/linen_design_test/mlp_lazy.py", "sha256": "b4e5dd8cf36a53fcdd44eb436deb21589151a829874fc64cd104328e5c5a3299", "language": "Python", "lines": 53, "truncated": false, "block": 23, "row": 1156 }, { "path": "examples/lm1b/configs/default.py", "sha256": "ca14b21936e56cf238ecf0961b974cca771e85a105f7a13f4720b0b8c8fb9905", "language": "Python", "lines": 149, "truncated": false, "block": 23, "row": 5942 }, { "path": "examples/lm1b/input_pipeline.py", "sha256": "51d3dd3c09a20f6b85c69c2641167d7a87af579478cef5c6a9e10759faeaf5c2", "language": "Python", "lines": 386, "truncated": false, "block": 23, "row": 11357 }, { "path": "examples/lm1b/input_pipeline_test.py", "sha256": "e722190ba7444c76bf22c6ed54038e288e504e58818d53d16a735df81fb1df50", "language": "Python", "lines": 104, "truncated": false, "block": 23, "row": 4149 }, { "path": "examples/lm1b/main.py", "sha256": "7a29740deae7c0fde8aa1c1ed0ba08fbed55f523319bb6e099558144251aa5b1", "language": "Python", "lines": 69, "truncated": false, "block": 23, "row": 1823 }, { "path": "examples/lm1b/models.py", "sha256": "938782fe5d0387e86f0f00e138be2166016e6af1546c12d3b79ba7b56c7d78b8", "language": "Python", "lines": 426, "truncated": false, "block": 23, "row": 11605 }, { "path": "examples/lm1b/temperature_sampler.py", "sha256": "16d145a7c59e92c254dcd7001231e0bbb830722bf903f58ed478556f8ab26709", "language": "Python", "lines": 127, "truncated": false, "block": 23, "row": 6082 }, { "path": "examples/lm1b/temperature_sampler_test.py", "sha256": "c406e56b3a9cdb5ea44ad705fb412aabc07a27fecbd93a589841c166dd612bc6", "language": "Python", "lines": 48, "truncated": false, "block": 23, "row": 174 }, { "path": "examples/lm1b/tokenizer.py", "sha256": "4799ef896c03ca729e411132857b2535422b9f7ef18aafb7f407945c5ba7db62", "language": "Python", "lines": 169, "truncated": false, "block": 23, "row": 6780 }, { "path": "examples/lm1b/train.py", "sha256": "2d61517f93ca6335c321c206e7cfc8be7b38fe68627e1550744bdc0527531eae", "language": "Python", "lines": 606, "truncated": false, "block": 23, "row": 13157 }, { "path": "examples/lm1b/train_test.py", "sha256": "9205ffe8a72e8026bb7e7dc9e9267679764cc5b4025cd5c97720a45e453ae1a3", "language": "Python", "lines": 72, "truncated": false, "block": 23, "row": 1690 }, { "path": "examples/lm1b/utils.py", "sha256": "a7474ae962a00f4f32d704d322d5a137deae6f45ea262c91aeabca04db6db9f2", "language": "Python", "lines": 182, "truncated": false, "block": 23, "row": 7192 }, { "path": "examples/mnist/configs/default.py", "sha256": "1c1559b9ac19efb388eedc09f29112345d45b882ccf944b5cda1c8ba0fc9713d", "language": "Python", "lines": 32, "truncated": false, "block": 22, "row": 28541 }, { "path": "examples/mnist/main.py", "sha256": "4628366719d8a642e867af74d1c8564f9a9ae876a6757b17092604455eebf5c8", "language": "Python", "lines": 69, "truncated": false, "block": 23, "row": 1771 }, { "path": "examples/mnist/mnist.ipynb", "sha256": "9bd29ba7351cb68b1f487fda2964a3ee2f3f8e7c0479784a3e42f9dc46b9b135", "language": "Jupyter", "lines": 195, "truncated": false, "block": 22, "row": 12978 }, { "path": "examples/mnist/mnist_benchmark.py", "sha256": "eb0aeaf7afa34861cf76e9e33eee1cafc8538572f69495a280c36032f401acd7", "language": "Python", "lines": 80, "truncated": false, "block": 23, "row": 2186 }, { "path": "examples/mnist/train.py", "sha256": "b3562e3bc484957de6dc674c24e711a077c27f5a5f26b3435f99419e557fb2b9", "language": "Python", "lines": 205, "truncated": false, "block": 23, "row": 8237 }, { "path": "examples/mnist/train_test.py", "sha256": "8ecd4fa6f4f42429a9b0c2ace3a86cb5e9861cfba2631c179523c343f9879357", "language": "Python", "lines": 74, "truncated": false, "block": 23, "row": 1958 }, { "path": "examples/nlp_seq/configs/default.py", "sha256": "1467eeefd0522cd7d704e9dcba760566e29b976f77411f2caf8a6680164bd0b6", "language": "Python", "lines": 49, "truncated": false, "block": 22, "row": 29483 }, { "path": "examples/nlp_seq/input_pipeline.py", "sha256": "0c35227f6c68125b348604b493a9339e4954f39b40669facc639fb3dbf4f6479", "language": "Python", "lines": 262, "truncated": false, "block": 23, "row": 9046 }, { "path": "examples/nlp_seq/input_pipeline_test.py", "sha256": "f8dae9f0650d4dd9ea550dcf8cc77ac7b0045a4241c03711398320336df6f6c0", "language": "Python", "lines": 141, "truncated": false, "block": 23, "row": 5078 }, { "path": "examples/nlp_seq/main.py", "sha256": "e49cb4bf9010c53456799fe604929a38d9e3e3a41589abec8952901b1aaba269", "language": "Python", "lines": 61, "truncated": false, "block": 23, "row": 836 }, { "path": "examples/nlp_seq/models.py", "sha256": "48f9140c0ff1be18badb16851af92cc6f810f40db71beb0afc878337be09c685", "language": "Python", "lines": 235, "truncated": false, "block": 23, "row": 7844 }, { "path": "examples/nlp_seq/train.py", "sha256": "7a5e4d4505aa99e77178716ee9ddc861ece06ea0798f0699301528a85cdc2cea", "language": "Python", "lines": 426, "truncated": false, "block": 23, "row": 11891 }, { "path": "examples/nnx_toy_examples/01_functional_api.py", "sha256": "342b9ad6ac49ef9fd1c9d9f4f0ec7d6fbba58363d70bbc8f45f7d24890fb0e88", "language": "Python", "lines": 107, "truncated": false, "block": 23, "row": 3082 }, { "path": "examples/nnx_toy_examples/02_lifted_transforms.py", "sha256": "d76ddbc80e566386c2fe5504a1a0f3313387db136d1f1eebe6ec19714586a297", "language": "Python", "lines": 105, "truncated": false, "block": 23, "row": 2696 }, { "path": "examples/nnx_toy_examples/03_train_state.py", "sha256": "42420fdb582a5164f237209fb0e938656d28f944065df5e6f9f0fd89e93aa4e6", "language": "Python", "lines": 123, "truncated": false, "block": 23, "row": 3536 }, { "path": "examples/nnx_toy_examples/04_data_parallel_with_jit.py", "sha256": "0dada379b2f47b002c228fd27d274e25fb2c4556e08bd2fc03e0e44d49b8db3f", "language": "Python", "lines": 102, "truncated": false, "block": 23, "row": 3176 }, { "path": "examples/nnx_toy_examples/05_vae.py", "sha256": "ed5f1623fa32877de389814a8342b2c7f6fd5064f2ede313254872af64865179", "language": "Python", "lines": 206, "truncated": false, "block": 23, "row": 6537 }, { "path": "examples/nnx_toy_examples/06_scan_over_layers.py", "sha256": "6b6b1a5a94953d4ac9de271ae25ce5cb439af13c91402d947bab8bb0b7f40b72", "language": "Python", "lines": 66, "truncated": false, "block": 23, "row": 1053 }, { "path": "examples/nnx_toy_examples/07_array_leaves.py", "sha256": "104afaa493eac5ad2e76b032ccb0db2df904736ea4b92b77ffcebfde497a8b9a", "language": "Python", "lines": 99, "truncated": false, "block": 23, "row": 2521 }, { "path": "examples/nnx_toy_examples/08_save_load_checkpoints.py", "sha256": "fc73257b72a3aab263d30692a2aed7e07b388cae00e2937e620ae153f86d3f8d", "language": "Python", "lines": 68, "truncated": false, "block": 23, "row": 1260 }, { "path": "examples/nnx_toy_examples/09_parameter_surgery.py", "sha256": "81cf016cf62e4d3b80f2a8db46e7bcfbeeb977dbb46c74c2d724a8a5e987a7ed", "language": "Python", "lines": 59, "truncated": false, "block": 23, "row": 1258 }, { "path": "examples/nnx_toy_examples/10_fsdp_and_optimizer.py", "sha256": "9bdc6b69774c7b42d9f1c523cc20a838f3555b76da2bf0a9d730effa2fd3c0cf", "language": "Python", "lines": 166, "truncated": false, "block": 23, "row": 5444 }, { "path": "examples/nnx_toy_examples/hijax_basic.py", "sha256": "4e9d6303fef2fa451631b051aee4fa4814c7f2af409adc7e14a3389e211d9dec", "language": "Python", "lines": 96, "truncated": false, "block": 23, "row": 2552 }, { "path": "examples/nnx_toy_examples/hijax_demo.py", "sha256": "1a63b7abf58e3241eeb92cbaded749e975f893c1a65ce5b6b17c3e3d5bf0ad3a", "language": "Python", "lines": 273, "truncated": false, "block": 23, "row": 9932 }, { "path": "examples/ogbg_molpcba/configs/default.py", "sha256": "981599c0790302a8f93375ab4921841cae0136f66e4c69c8e82a31ae772344a5", "language": "Python", "lines": 50, "truncated": false, "block": 23, "row": 333 }, { "path": "examples/ogbg_molpcba/configs/default_graph_net.py", "sha256": "25e452310e3489d4f7526969b0bc3fdf2c92ad01b57f8445b8759f217d6db2e6", "language": "Python", "lines": 51, "truncated": false, "block": 23, "row": 418 }, { "path": "examples/ogbg_molpcba/configs/hparam_sweep.py", "sha256": "a838ca2f69230c3a6c30e9ea0bdc948394354ac4d40e01949f540940aa527d0b", "language": "Python", "lines": 63, "truncated": false, "block": 23, "row": 1294 }, { "path": "examples/ogbg_molpcba/configs/test.py", "sha256": "ad33b28dde56199ed805529361cd6e4a21f44f2a54ff636c17d481c046044eea", "language": "Python", "lines": 48, "truncated": false, "block": 23, "row": 73 }, { "path": "examples/ogbg_molpcba/input_pipeline.py", "sha256": "e03df85ce0996890a89ed838ecff8273eb98ffb1f9e7fb5e5dce6cefd72e241d", "language": "Python", "lines": 242, "truncated": false, "block": 23, "row": 9247 }, { "path": "examples/ogbg_molpcba/input_pipeline_test.py", "sha256": "a7a1eb3df8dea1905be3dab2c0e7d59a00c70e030b45cc27846d33a7f04169d2", "language": "Python", "lines": 80, "truncated": false, "block": 23, "row": 2579 }, { "path": "examples/ogbg_molpcba/main.py", "sha256": "8c62192c6ca0e50b1f02880d83e0d8b8f8eb49036fb509270268920e46b06e43", "language": "Python", "lines": 70, "truncated": false, "block": 23, "row": 1844 }, { "path": "examples/ogbg_molpcba/models.py", "sha256": "34897e4235184d35e2db034bc8197c46e05694ebdc750b6b31837e2a9abf81ae", "language": "Python", "lines": 213, "truncated": false, "block": 23, "row": 8602 }, { "path": "examples/ogbg_molpcba/models_test.py", "sha256": "38e0a7158b33b69d7293633187d0c9270cdf4cf5b7492c7900d5faf40bb2b4d1", "language": "Python", "lines": 154, "truncated": false, "block": 23, "row": 6500 }, { "path": "examples/ogbg_molpcba/ogbg_molpcba.ipynb", "sha256": "218111d235ee10ade1c43d32f94d682f319f0b5c1137c17838f6976206f224dd", "language": "Jupyter", "lines": 271, "truncated": false, "block": 22, "row": 13194 }, { "path": "examples/ogbg_molpcba/ogbg_molpcba_benchmark.py", "sha256": "01ea20f17f326e459ed48816e31908578db07c29e341a15a95562de2bcb4bde6", "language": "Python", "lines": 141, "truncated": false, "block": 23, "row": 5986 }, { "path": "examples/ogbg_molpcba/train.py", "sha256": "0bbace114f6ddfcea9015434528138fa950d2bcabf988f64c0a805e66255eebb", "language": "Python", "lines": 409, "truncated": false, "block": 23, "row": 11865 }, { "path": "examples/ogbg_molpcba/train_test.py", "sha256": "c6d628596839523b2808d5843d531c8f3797965b58081a04a3fc1d818275f1b2", "language": "Python", "lines": 359, "truncated": false, "block": 23, "row": 11334 }, { "path": "examples/ppo/agent.py", "sha256": "167e45088f4a78234a1fdf7019b092f826644d920f372f558a845b9d2a0cc2ac", "language": "Python", "lines": 93, "truncated": false, "block": 23, "row": 2695 }, { "path": "examples/ppo/configs/default.py", "sha256": "c467c72fd6674f3743de86b4798912bcf13783d2854928510e2bacc9dc5dc400", "language": "Python", "lines": 55, "truncated": false, "block": 23, "row": 1311 }, { "path": "examples/ppo/env_utils.py", "sha256": "057d1a2a03389f6a3d147d030bd77a4182fa1b419d93a7e12d98b8b4e169ae6c", "language": "Python", "lines": 87, "truncated": false, "block": 23, "row": 2344 }, { "path": "examples/ppo/models.py", "sha256": "d62903ad4574a87b55db5e8579eb9d541f58e34862355f902e52c11b04d352e9", "language": "Python", "lines": 72, "truncated": false, "block": 23, "row": 2143 }, { "path": "examples/ppo/ppo_lib.py", "sha256": "2ad6e40268c4c839f01c4fb7a29f98a8e53516ea603209a35b8ab06baad9fb53", "language": "Python", "lines": 379, "truncated": false, "block": 23, "row": 11602 }, { "path": "examples/ppo/ppo_lib_test.py", "sha256": "02f0bb6d10a39c63b37f526a0b78f782bdf7a1a859dcc575873b09c7f63cac8f", "language": "Python", "lines": 163, "truncated": false, "block": 23, "row": 6698 }, { "path": "examples/ppo/ppo_main.py", "sha256": "d6c2e918c4b15b4b1a2da2ae0ae35118a54c688fc599c89ae7e37b1140682a1e", "language": "Python", "lines": 60, "truncated": false, "block": 23, "row": 515 }, { "path": "examples/ppo/seed_rl_atari_preprocessing.py", "sha256": "88c15d6fa6b26ffeec56fa60a299f477241359fca655767b3bed0d4ca1dc9e6e", "language": "Python", "lines": 245, "truncated": false, "block": 23, "row": 9733 }, { "path": "examples/ppo/test_episodes.py", "sha256": "5234202643e864eea2b5332f825239cd926ea84fe02c5fbf2a74368aa71e3dfa", "language": "Python", "lines": 61, "truncated": false, "block": 23, "row": 1235 }, { "path": "examples/seq2seq/configs/default.py", "sha256": "9e6e4359db8ece238fc846151d0347279b280bb7447a135e7806d4dd7dafed80", "language": "Python", "lines": 32, "truncated": false, "block": 22, "row": 28774 }, { "path": "examples/seq2seq/input_pipeline.py", "sha256": "70acdc6d1914a6041b350015673be7c00235e4b3fdf6f38aa472f6b9c6f3d755", "language": "Python", "lines": 156, "truncated": false, "block": 23, "row": 6942 }, { "path": "examples/seq2seq/main.py", "sha256": "c36eb9fcebed245f44d0de269297282cad1df6583db91e5549f911239242aea2", "language": "Python", "lines": 52, "truncated": false, "block": 23, "row": 327 }, { "path": "examples/seq2seq/models.py", "sha256": "ab9756e41619ec9d88fb939060eaee574a27b174b30a53e0b2cae18039ace8fc", "language": "Python", "lines": 137, "truncated": false, "block": 23, "row": 5422 }, { "path": "examples/seq2seq/seq2seq.ipynb", "sha256": "e012b46312f710f4a1d47fbd885aec1b117e72d291e1b5ee3321f0cd276feb6d", "language": "Jupyter", "lines": 176, "truncated": false, "block": 22, "row": 12915 }, { "path": "examples/seq2seq/train.py", "sha256": "6dbb21ce63a7bb048622d9d02462371f13e9d4930bcb4e52e53d659e418ec673", "language": "Python", "lines": 230, "truncated": false, "block": 23, "row": 8142 }, { "path": "examples/seq2seq/train_test.py", "sha256": "87a4f9da62a1fac76abf39d8b35025bbae650657cc7695ff547269888eb27ad5", "language": "Python", "lines": 107, "truncated": false, "block": 23, "row": 3715 }, { "path": "examples/sst2/build_vocabulary.py", "sha256": "1ab15508a8067a6f76468d33a0fb80e7f2959f0a8fcd0145a224ecb32c25f02d", "language": "Python", "lines": 59, "truncated": false, "block": 23, "row": 1501 }, { "path": "examples/sst2/configs/default.py", "sha256": "cf56478d43c0837f7aa571669ed88641873d2eac9f3963e53dac6177117f792f", "language": "Python", "lines": 46, "truncated": false, "block": 22, "row": 29382 }, { "path": "examples/sst2/input_pipeline.py", "sha256": "6761a22b5c0b3d3706aeb69da8b9124fe762bb4bca5d810bdf48906a6985073b", "language": "Python", "lines": 279, "truncated": false, "block": 23, "row": 10255 }, { "path": "examples/sst2/input_pipeline_test.py", "sha256": "893b8b38eb96258b01dcd8a307de322b85e54c751dc825564104cb25b6c9a697", "language": "Python", "lines": 97, "truncated": false, "block": 23, "row": 4424 }, { "path": "examples/sst2/main.py", "sha256": "3e024f8b3e53772809f1ce86b17d39166424613ea71bed20189217ca56d907a3", "language": "Python", "lines": 68, "truncated": false, "block": 23, "row": 1685 }, { "path": "examples/sst2/models.py", "sha256": "d9c4e95a84b0b90e27fc28099e2cb5df7f62014e8d15c9320ec2008a0a680f0e", "language": "Python", "lines": 437, "truncated": false, "block": 23, "row": 12009 }, { "path": "examples/sst2/models_test.py", "sha256": "1d66d1dbf0ab0fcc05f3cd69f188b3f42c927d5e552972ffee66934620c546d8", "language": "Python", "lines": 103, "truncated": false, "block": 23, "row": 4215 }, { "path": "examples/sst2/sst2.ipynb", "sha256": "f2e92c76a26f16152416fa49936488c4eee5b31e21e04643d992240ceaf9ed99", "language": "Jupyter", "lines": 167, "truncated": false, "block": 22, "row": 12904 }, { "path": "examples/sst2/train.py", "sha256": "6cfbc8cda4e73745899619f97210b2d7b443a5076d9e0a56335235485603e085", "language": "Python", "lines": 295, "truncated": false, "block": 23, "row": 9960 }, { "path": "examples/sst2/train_test.py", "sha256": "790fa1c321ad33d105ec1fb97ee8b37277f9e3d99d0803633b8ca79a16b7e670", "language": "Python", "lines": 60, "truncated": false, "block": 23, "row": 1728 }, { "path": "examples/sst2/vocabulary.py", "sha256": "ebc364432bef7c2b3930bd33f1ce135aa6374a930849786b1e6b82abf966674f", "language": "Python", "lines": 138, "truncated": false, "block": 23, "row": 5520 }, { "path": "examples/vae/configs/default.py", "sha256": "46acaf802385b5b7226f2d0c0a2f434852a668c2932cfd01d1f0c94a83e0a432", "language": "Python", "lines": 28, "truncated": false, "block": 22, "row": 28465 }, { "path": "examples/vae/input_pipeline.py", "sha256": "b7704374ebc104173bb731e069d3b62d683cf33f89ab9e5be7862d5ccdce81de", "language": "Python", "lines": 48, "truncated": false, "block": 23, "row": 184 }, { "path": "examples/vae/main.py", "sha256": "a3ddf04b64fc85747049a404377c1f4db7564cc890ddaec62860a37b65589430", "language": "Python", "lines": 65, "truncated": false, "block": 23, "row": 1305 }, { "path": "examples/vae/models.py", "sha256": "82e4f8fbd2e07edb66395ef095d3fd16d03be1b191c14d3d722cc27ab1dae05e", "language": "Python", "lines": 73, "truncated": false, "block": 23, "row": 928 }, { "path": "examples/vae/train.py", "sha256": "9031ec7f01dfae0f44e6afa9c37b1cb3cc5d625c7a607c187e3f3de0156d130d", "language": "Python", "lines": 135, "truncated": false, "block": 23, "row": 5203 }, { "path": "examples/vae/utils.py", "sha256": "b99ee80f3b98e5b8f8114df287cc460c49b11d1cdefcd31d011ef0e843c564b1", "language": "Python", "lines": 84, "truncated": false, "block": 23, "row": 3368 }, { "path": "examples/wmt/bleu.py", "sha256": "53d7aec18265d116e045c28f5e3458dc74def143bd0e7eac7602b4eccdfb82ac", "language": "Python", "lines": 224, "truncated": false, "block": 23, "row": 8646 }, { "path": "examples/wmt/configs/default.py", "sha256": "f02d838c5a0fcc91b192d099ab7b8f751592478c4c18a0378806b37922cb1a4a", "language": "Python", "lines": 129, "truncated": false, "block": 23, "row": 4150 }, { "path": "examples/wmt/decode.py", "sha256": "e9e5ff8dad95600afed332f0ee2d26111d97d3f9c66dd7a2b2b91b6cba7eed5b", "language": "Python", "lines": 398, "truncated": false, "block": 23, "row": 12085 }, { "path": "examples/wmt/input_pipeline.py", "sha256": "110c7c3bcf8b6f784c68177eddb0bdfac8783597d205e533aa28c59c72ede0fc", "language": "Python", "lines": 399, "truncated": false, "block": 23, "row": 11508 }, { "path": "examples/wmt/input_pipeline_test.py", "sha256": "556ec0deed9947cc9d5d5553916959496ced35e75c2a2de16a0648f94bff7059", "language": "Python", "lines": 104, "truncated": false, "block": 23, "row": 4080 }, { "path": "examples/wmt/main.py", "sha256": "e2f8c5fa2c2b9109d17ecfb4704041185d0f68d0bd875ad9913622d36f6d7ace", "language": "Python", "lines": 70, "truncated": false, "block": 23, "row": 1784 }, { "path": "examples/wmt/models.py", "sha256": "7be726736f08557c60782a5e1e51b38890f964206cd50a2d5e1498b06a2c9c7a", "language": "Python", "lines": 628, "truncated": false, "block": 23, "row": 12901 }, { "path": "examples/wmt/tokenizer.py", "sha256": "9ed15dcd81aebd747ca34f082e0b97a6e7d734e98548e26843f8a39cdc9b6b73", "language": "Python", "lines": 169, "truncated": false, "block": 23, "row": 6782 }, { "path": "examples/wmt/train.py", "sha256": "ddd6285d1ee867ae4ec83d3d6324cf8be9ca9c77afc9d08988b56b6a57b42617", "language": "Python", "lines": 699, "truncated": false, "block": 23, "row": 13699 }, { "path": "examples/wmt/train_test.py", "sha256": "0b1a62948f055ae13b47acd6eeeb71f8e81add28126a1a07b7578e9056f1c080", "language": "Python", "lines": 72, "truncated": false, "block": 23, "row": 1693 }, { "path": "flax/__init__.py", "sha256": "add326173ec7f8d50ce78281cf8bd387411bf0871cce75d68a2b7527604b1de0", "language": "Python", "lines": 39, "truncated": false, "block": 22, "row": 29161 }, { "path": "flax/configurations.py", "sha256": "09d0537dfdae4bbcc122770fcf37c8fa5e68bcdc7de054352026b488d6b79ac3", "language": "Python", "lines": 330, "truncated": false, "block": 23, "row": 10006 }, { "path": "flax/core/__init__.py", "sha256": "1b64eeb9cb23328f46b1890f706aecfc0c71299d68b0d6f153b0def4245f26e6", "language": "Python", "lines": 55, "truncated": false, "block": 23, "row": 138 }, { "path": "flax/core/axes_scan.py", "sha256": "ae03f7462f5d1d3dc049203391ca0200e4a9ed99bfe681d896da332790fe3ebf", "language": "Python", "lines": 252, "truncated": false, "block": 23, "row": 9685 }, { "path": "flax/core/flax_functional_engine.ipynb", "sha256": "1c57fd1f791737a7759e24c27e112012e82271b77b435498369c704fc40b2aef", "language": "Jupyter", "lines": 191, "truncated": false, "block": 22, "row": 12851 }, { "path": "flax/core/frozen_dict.py", "sha256": "77a2e54f743087b42a82f14e035a2b0addc7974e8e27aa16b81214050d2846d4", "language": "Python", "lines": 360, "truncated": false, "block": 23, "row": 10469 }, { "path": "flax/core/lift.py", "sha256": "6034465f5438333b2fad4b326b26b369caca25436180c594a8973f7d3a6b07d3", "language": "Python", "lines": 1868, "truncated": false, "block": 23, "row": 15138 }, { "path": "flax/core/meta.py", "sha256": "9e76763a5f2f0ce84432f07620c162763824e8d80bc0ddff384853b8b3cebbb0", "language": "Python", "lines": 371, "truncated": false, "block": 23, "row": 11410 }, { "path": "flax/core/nn/__init__.py", "sha256": "d98a60a0bc3978fe27a70e8c3a181475f308e27ac620a7c2f9fb270cdb942c96", "language": "Python", "lines": 58, "truncated": false, "block": 23, "row": 966 }, { "path": "flax/core/nn/attention.py", "sha256": "f41bd847227519ddc114179641dab9c5b63ba79a80c8c00297a81c68f2f4d627", "language": "Python", "lines": 525, "truncated": false, "block": 23, "row": 12799 }, { "path": "flax/core/nn/linear.py", "sha256": "8ae3ad78ae09a320c243de0ede8782d14a3ccb2c49f38211bab1d153b87eff3e", "language": "Python", "lines": 378, "truncated": false, "block": 23, "row": 11195 }, { "path": "flax/core/nn/normalization.py", "sha256": "cfc2c418ac968ad76aef74bf8f55a54daecfe6e3494862fe426fdeba5aea0df9", "language": "Python", "lines": 205, "truncated": false, "block": 23, "row": 8221 }, { "path": "flax/core/nn/stochastic.py", "sha256": "b2fcdeaa19745c12ca3f6b7b13081cef7f71b88b45059be793ba068e5652a5fa", "language": "Python", "lines": 44, "truncated": false, "block": 23, "row": 260 }, { "path": "flax/core/partial_eval.py", "sha256": "2f6dec10b4fa7475a4857270cebc2fd5a57ab81c2f49fc4112d3f175ee167f1e", "language": "Python", "lines": 54, "truncated": false, "block": 23, "row": 1041 }, { "path": "flax/core/scope.py", "sha256": "7b9df61061203046a12b1841468fb522e24edd12f2cc1cd013f3cd2fe0af8b87", "language": "Python", "lines": 1237, "truncated": false, "block": 23, "row": 14581 }, { "path": "flax/core/spmd.py", "sha256": "62d64eecdbfbd58d96551f667d2b478b245708f698265a571b5400234beb6aa5", "language": "Python", "lines": 159, "truncated": false, "block": 23, "row": 6255 }, { "path": "flax/core/tracers.py", "sha256": "2262d1c6c4820b21579a0a01781d31b01b48bd0f5f49cf810cd6eac6c5fdff7a", "language": "Python", "lines": 45, "truncated": false, "block": 23, "row": 48 }, { "path": "flax/core/variables.py", "sha256": "280910c0c18463e7c04a524f1dc1a993bbc0fbc07b5413256ac02eb3e41f03be", "language": "Python", "lines": 42, "truncated": false, "block": 23, "row": 433 }, { "path": "flax/cursor.py", "sha256": "c00500e03aaae8214f1f52f54a9ced7a709fac26616d15bad49085349cde6137", "language": "Python", "lines": 785, "truncated": false, "block": 23, "row": 13927 }, { "path": "flax/errors.py", "sha256": "ed4e49f617a45a55a7f77f4731f07e7480147ce02a9bd51837799b418ac0df78", "language": "Python", "lines": 994, "truncated": false, "block": 23, "row": 14318 }, { "path": "flax/experimental/__init__.py", "sha256": "8642bbbe77864a965e977265c80b972defad8208b1d5d93a36c498c2141739d1", "language": "Python", "lines": 14, "truncated": false, "block": 22, "row": 27568 }, { "path": "flax/experimental/nnx.py", "sha256": "60c2d2b9100f1c424b7482da894f3f93bae067c28a69d7981e6a160aaf2ec772", "language": "Python", "lines": 22, "truncated": false, "block": 22, "row": 28003 }, { "path": "flax/ids.py", "sha256": "b1b68fab5c7c235846b591f855506e7c1f662a37e3be1526c253a4b38a4dfcee", "language": "Python", "lines": 65, "truncated": false, "block": 23, "row": 873 }, { "path": "flax/io.py", "sha256": "198562634051c333768b44fa4d0eb978943c06bed87bcd6e765aee257b642764", "language": "Python", "lines": 206, "truncated": false, "block": 23, "row": 6649 }, { "path": "flax/jax_utils.py", "sha256": "15f92752a56815df18a2ea59e1b2376ac0d5593f0656173864f093c78e3169cb", "language": "Python", "lines": 350, "truncated": false, "block": 23, "row": 11517 }, { "path": "flax/linen/__init__.py", "sha256": "795f9e0c6f9fe67847e53666b7b137b7490215f3205739457d648b063f52a624", "language": "Python", "lines": 168, "truncated": false, "block": 23, "row": 6188 }, { "path": "flax/linen/activation.py", "sha256": "f673fbddb6126aefc06fabe349faca5997c2d47da2526cb4978aa0a2c5414526", "language": "Python", "lines": 100, "truncated": false, "block": 23, "row": 3100 }, { "path": "flax/linen/attention.py", "sha256": "00aeee97803b6f149242091516972dc7607ceaa657bb2bd1fa5087089d5238cf", "language": "Python", "lines": 911, "truncated": false, "block": 23, "row": 14484 }, { "path": "flax/linen/batch_apply.py", "sha256": "3f89a358d2623f0f91a42e45309ccb7a0b8cfaaae2311db1e7cec346ca3b713c", "language": "Python", "lines": 109, "truncated": false, "block": 23, "row": 4324 }, { "path": "flax/linen/combinators.py", "sha256": "be9c4034f21e0806848d032341893e703c4d22f95025b8facee42eef21d51dc0", "language": "Python", "lines": 114, "truncated": false, "block": 23, "row": 4752 }, { "path": "flax/linen/dtypes.py", "sha256": "d0cb679097cf67589da30200a79554218a6203fb413145965bed322fb61095c4", "language": "Python", "lines": 79, "truncated": false, "block": 23, "row": 3862 }, { "path": "flax/linen/experimental/layers_with_named_axes.py", "sha256": "b91d66ada43d9405ccecb41a157e9dcd5e2741aea66b0de21aeb02139530f254", "language": "Python", "lines": 345, "truncated": false, "block": 23, "row": 10859 }, { "path": "flax/linen/fp8_ops.py", "sha256": "ca91de9d8a4ba3f2eaace238205ed9e34e8764a829a7df10a06150f0e05caf2f", "language": "Python", "lines": 667, "truncated": false, "block": 23, "row": 13165 }, { "path": "flax/linen/initializers.py", "sha256": "082e25638baf0068ac6b18a220013600754fb8df6af04a90d9ef4e6410cf8b5a", "language": "Python", "lines": 67, "truncated": false, "block": 23, "row": 2772 }, { "path": "flax/linen/kw_only_dataclasses.py", "sha256": "fc83719a1dcb20fad368131f3b8e0f74af01a8990278309247dbc888e9fb1bef", "language": "Python", "lines": 249, "truncated": false, "block": 23, "row": 9781 }, { "path": "flax/linen/linear.py", "sha256": "41958761c569aeca864d8ebec4e5742727ff0267fb81223633a39ad94ad555e0", "language": "Python", "lines": 1215, "truncated": false, "block": 23, "row": 14872 }, { "path": "flax/linen/module.py", "sha256": "d417f6a7654d580db6536719fb85b5f41626dea253f68cad43753b8a04d5129e", "language": "Python", "lines": 3299, "truncated": false, "block": 23, "row": 15333 }, { "path": "flax/linen/normalization.py", "sha256": "3dd9e63bdb3d1fa990c3d0e1baf3b5111e1c3d61e79d96141d3404aa34428bf8", "language": "Python", "lines": 1391, "truncated": false, "block": 23, "row": 14946 }, { "path": "flax/linen/partitioning.py", "sha256": "1d161ec60e8d5a09b8c712ff754a906d23cb65ada8cf136a7d36435308f5d83c", "language": "Python", "lines": 604, "truncated": false, "block": 23, "row": 13127 }, { "path": "flax/linen/pooling.py", "sha256": "1cdae33affee979404cf6ee75e0ebd8922337d16b8d9cd9c6d987eabc0dc8a88", "language": "Python", "lines": 143, "truncated": false, "block": 23, "row": 6946 }, { "path": "flax/linen/recurrent.py", "sha256": "6dc8fcfdfe86fcfcffe0950e477a7607da0b09ac5e1061f151247675fad8da04", "language": "Python", "lines": 1344, "truncated": false, "block": 23, "row": 14833 }, { "path": "flax/linen/spmd.py", "sha256": "654ba2cb9ffdf02423ba2698edefde440e1dd150874b55f5575ea4d57d0da866", "language": "Python", "lines": 353, "truncated": false, "block": 23, "row": 10991 }, { "path": "flax/linen/stochastic.py", "sha256": "6ef4959eefff04ebd990b6a58e66d762db0dc95b9cd37ce66ad5944364ae49b8", "language": "Python", "lines": 107, "truncated": false, "block": 23, "row": 4388 }, { "path": "flax/linen/summary.py", "sha256": "3065d8a6a63feff0ae66cf1e256e4bcb9f5c96740b3579d5d319023fbf530be0", "language": "Python", "lines": 776, "truncated": false, "block": 23, "row": 13904 }, { "path": "flax/linen/transforms.py", "sha256": "6737088ad6cfcd07b7fd9b38a71832794e624dcc26f25db9222111d7bc20e412", "language": "Python", "lines": 2176, "truncated": false, "block": 23, "row": 15223 }, { "path": "flax/metrics/__init__.py", "sha256": "5c2c5bddaa4d9ae72d5d289f6cd71933094343e9a8498175481c60e346345026", "language": "Python", "lines": 13, "truncated": false, "block": 22, "row": 27563 }, { "path": "flax/metrics/tensorboard.py", "sha256": "1d40d061f7616574c20b1409329afd694ceba9ec4665ab041afceef5c732fae8", "language": "Python", "lines": 237, "truncated": false, "block": 23, "row": 8985 }, { "path": "flax/nnx/__init__.py", "sha256": "4fddb80d8aa0f1f8bfdb36f5c813226ee83469211e9006e7bc57b2a72e5a4824", "language": "Python", "lines": 250, "truncated": false, "block": 23, "row": 11098 }, { "path": "flax/nnx/bridge/__init__.py", "sha256": "bc0682e260b3c7e5e71fdd6f65e787959463629540dcf074712336cf3625e186", "language": "Python", "lines": 32, "truncated": false, "block": 23, "row": 38 }, { "path": "flax/nnx/bridge/interop.py", "sha256": "9d4854e8cd2bcd404401780f081ab32051b46b8bba34140ae53194d5d31630a9", "language": "Python", "lines": 89, "truncated": false, "block": 23, "row": 4471 }, { "path": "flax/nnx/bridge/module.py", "sha256": "e91f8691b6291600d810e7f4b3f3ab61a8ab69030a1bc7d4d35c3a9bb7b28f81", "language": "Python", "lines": 547, "truncated": false, "block": 23, "row": 12404 }, { "path": "flax/nnx/bridge/variables.py", "sha256": "96b9ee6efca82d381fde67445e3b584b57861cb987b9568d0644d856487eb50e", "language": "Python", "lines": 174, "truncated": false, "block": 23, "row": 7622 }, { "path": "flax/nnx/bridge/wrappers.py", "sha256": "33d55f8dca3defd546a377c62743a56039596a4d97e2af7bfb2fc283772333d1", "language": "Python", "lines": 534, "truncated": false, "block": 23, "row": 12772 }, { "path": "flax/nnx/compat.py", "sha256": "634ff02e0bb9c7f6989d093b80a2885c636f7a6c89ab86a15e74532c00ccbd28", "language": "Python", "lines": 124, "truncated": false, "block": 23, "row": 6505 }, { "path": "flax/nnx/deprecations.py", "sha256": "ca21a556068cd349224b095b44eae93c239831f27911c149c8dac493e3b16974", "language": "Python", "lines": 67, "truncated": false, "block": 23, "row": 1570 }, { "path": "flax/nnx/extract.py", "sha256": "53120422eb76710ddee8e207e94828245b1a65bd565aebe2c74a09f282c43b9c", "language": "Python", "lines": 1121, "truncated": false, "block": 23, "row": 14448 }, { "path": "flax/nnx/filterlib.py", "sha256": "99e8719ceeafab1065a4109196eac8e8a9f914ee7e8690146e2a5964da663668", "language": "Python", "lines": 213, "truncated": false, "block": 23, "row": 6768 }, { "path": "flax/nnx/graph.py", "sha256": "f1a3c47ea4db47b7d997f9f98e56c7378c2f8ad6aaa3d1f7efebe8bebf1dbc15", "language": "Python", "lines": 21, "truncated": false, "block": 22, "row": 28158 }, { "path": "flax/nnx/graphlib.py", "sha256": "56d7e2f59f656e09038b590a78df419ab2b51e2c944470ff2bc3434e92bd95ec", "language": "Python", "lines": 3779, "truncated": false, "block": 23, "row": 15334 }, { "path": "flax/nnx/helpers.py", "sha256": "e53d1d5343dd4019af1a431327f466d27b2916a9755dc820b9411f41cc7f6852", "language": "Python", "lines": 367, "truncated": false, "block": 23, "row": 10544 }, { "path": "flax/nnx/ids.py", "sha256": "98015469142b07cf44d1f8354766f37a1a4bd3d1ce412c9c7a84701794430bf1", "language": "Python", "lines": 64, "truncated": false, "block": 23, "row": 855 }, { "path": "flax/nnx/module.py", "sha256": "5f8ab17d95d5c4e6860f935386f36f139392cddb20e2eb06af62a7965d2201d9", "language": "Python", "lines": 1003, "truncated": false, "block": 23, "row": 14514 }, { "path": "flax/nnx/nn/__init__.py", "sha256": "102ae46229b5535da432c73fd65d2bfba76b6c84d31da3bae090792d90ae57b0", "language": "Python", "lines": 13, "truncated": false, "block": 22, "row": 27562 }, { "path": "flax/nnx/nn/activations.py", "sha256": "b3b6cbd7c802add031c519a139844ae6a1d363506e89b52607367e39af42932c", "language": "Python", "lines": 142, "truncated": false, "block": 23, "row": 4431 }, { "path": "flax/nnx/nn/attention.py", "sha256": "702ca5f27d33f3877e670581a5ff270952ad0231b2e3cfadf273fc07cac5e4d5", "language": "Python", "lines": 1089, "truncated": false, "block": 23, "row": 14727 }, { "path": "flax/nnx/nn/dtypes.py", "sha256": "e4998e3c2cbf9fb1df065ee79038b1e11a72f078341565900c87d1c14a247f76", "language": "Python", "lines": 83, "truncated": false, "block": 23, "row": 4081 }, { "path": "flax/nnx/nn/initializers.py", "sha256": "d1b7e0bf698c53a891399c33a321ce25b6290a6e3efa68e9ef4d2b2797abd5d5", "language": "Python", "lines": 65, "truncated": false, "block": 23, "row": 2575 }, { "path": "flax/nnx/nn/linear.py", "sha256": "063b21c0d2c77d4723b1b4d61b5921f2b2507f66f24ca993834c841c58c93521", "language": "Python", "lines": 1342, "truncated": false, "block": 23, "row": 14940 }, { "path": "flax/nnx/nn/lora.py", "sha256": "389109d9e87190b31925756cbf531d3612b11dfdca65ac72b31d982cf237d426", "language": "Python", "lines": 215, "truncated": false, "block": 23, "row": 8690 }, { "path": "flax/nnx/nn/normalization.py", "sha256": "954e2c9605db5dbfd69e0a8fa5bc03dd3d8f87d41e328c723c17f1dfdb0eeb05", "language": "Python", "lines": 1454, "truncated": false, "block": 23, "row": 14998 }, { "path": "flax/nnx/nn/recurrent.py", "sha256": "287fcfc93daab181b74070515de225ca5f96df82204bbb3d5b5e6cc8e7c99776", "language": "Python", "lines": 1152, "truncated": false, "block": 23, "row": 14559 }, { "path": "flax/nnx/nn/stochastic.py", "sha256": "26cf2a8adf400c52fcce2e5512143291cb5944652267c23df68b518c2330e797", "language": "Python", "lines": 178, "truncated": false, "block": 23, "row": 7291 }, { "path": "flax/nnx/proxy_caller.py", "sha256": "52a4969ce081d9a9c145081e10567dcc050e9cf5d2242a010a9f4f2a83e971d8", "language": "Python", "lines": 88, "truncated": false, "block": 23, "row": 2172 }, { "path": "flax/nnx/pytreelib.py", "sha256": "2a13d4b5877300207709ca4d6232015df2111a41f8e97dafc8e9c4121f0ce09a", "language": "Python", "lines": 1073, "truncated": false, "block": 23, "row": 14423 }, { "path": "flax/nnx/reprlib.py", "sha256": "bf76b369ccae7e4e0124470faabb7b2fc8ba74c832ecac76c38cd2e8c315642d", "language": "Python", "lines": 269, "truncated": false, "block": 23, "row": 8553 }, { "path": "flax/nnx/rnglib.py", "sha256": "0cfda110992f82b5b328fc44da4ff41d7e81bc89315e6147bd7aad66b08bf87b", "language": "Python", "lines": 1603, "truncated": false, "block": 23, "row": 15010 }, { "path": "flax/nnx/scripts/run-all-examples.bash", "sha256": "516bf2947ed07c0956001f8556694d10bd9029f2753a6a7d3f8991c418c62a42", "language": "Shell", "lines": 10, "truncated": false, "block": 23, "row": 17245 }, { "path": "flax/nnx/spmd.py", "sha256": "c8710bce9d07bdca51e7f8e7aeef3954b409a7a3491babab902b780c7ef6abdf", "language": "Python", "lines": 243, "truncated": false, "block": 23, "row": 9212 }, { "path": "flax/nnx/statelib.py", "sha256": "bfa1708d1bdbc544bdc41b09f95324749394a1b3475d118f631c8cd6d912b82b", "language": "Python", "lines": 845, "truncated": false, "block": 23, "row": 13744 }, { "path": "flax/nnx/summary.py", "sha256": "f1ac0b71e94aafcf8eef07faf7c436065408bbec3a24f2d7a6f808d8a9933179", "language": "Python", "lines": 676, "truncated": false, "block": 23, "row": 14118 }, { "path": "flax/nnx/tracers.py", "sha256": "465908ad83f4d5f5d6b897365a3d0025a91edc8e5d814961a325d5165ed868c4", "language": "Python", "lines": 81, "truncated": false, "block": 23, "row": 1815 }, { "path": "flax/nnx/training/__init__.py", "sha256": "8642bbbe77864a965e977265c80b972defad8208b1d5d93a36c498c2141739d1", "language": "Python", "lines": 14, "truncated": false, "block": 22, "row": 27568 }, { "path": "flax/nnx/training/ema.py", "sha256": "d6a49ddc071d04c996a5feaab26d94c8b18be2617e6a8f985ea336c77fd150a0", "language": "Python", "lines": 179, "truncated": false, "block": 23, "row": 7734 }, { "path": "flax/nnx/training/metrics.py", "sha256": "278b1437f1e06b27db6f1ec648a1b3bfab39d40ba4007cd3a6d8f9c8781e9da9", "language": "Python", "lines": 443, "truncated": false, "block": 23, "row": 12486 }, { "path": "flax/nnx/training/optimizer.py", "sha256": "6c548c7d9ad4f95592b0ef39a735dd09854c559233467d34870b7ddb338e42c6", "language": "Python", "lines": 244, "truncated": false, "block": 23, "row": 9380 }, { "path": "flax/nnx/transforms/__init__.py", "sha256": "102ae46229b5535da432c73fd65d2bfba76b6c84d31da3bae090792d90ae57b0", "language": "Python", "lines": 13, "truncated": false, "block": 22, "row": 27562 }, { "path": "flax/nnx/transforms/autodiff.py", "sha256": "1403425a51c22b44c76df09ad75824489865f9d20ed7ac2862cbca498171b434", "language": "Python", "lines": 1709, "truncated": false, "block": 23, "row": 15026 }, { "path": "flax/nnx/transforms/compilation.py", "sha256": "f445cec303f54d801d3127706d259d1efdbad10a31bb24f67063bd1ba722a558", "language": "Python", "lines": 2018, "truncated": false, "block": 23, "row": 15147 }, { "path": "flax/nnx/transforms/general.py", "sha256": "2b4730db1a23114826f74e90e31aa7531e139d1af4dbd94ee4f444c08032d49e", "language": "Python", "lines": 203, "truncated": false, "block": 23, "row": 8270 }, { "path": "flax/nnx/transforms/iteration.py", "sha256": "1109aa5d414c72ab6a6402ef15c9587ce515b67d7b3e3c3f58946f86e2438dd5", "language": "Python", "lines": 2222, "truncated": false, "block": 23, "row": 15175 }, { "path": "flax/nnx/transforms/transforms.py", "sha256": "89456b086ae3318996cd1e31158283bf270d3486583d361b2d98e26758c20556", "language": "Python", "lines": 748, "truncated": false, "block": 23, "row": 13723 }, { "path": "flax/nnx/traversals.py", "sha256": "3623dd9bb552e13a9adfa94e9e64a6f3869b97ec7e4e26ec2a993280be40b321", "language": "Python", "lines": 229, "truncated": false, "block": 23, "row": 7616 }, { "path": "flax/nnx/variablelib.py", "sha256": "a5d4e2de38b9bdc109adaba04d3641d55b2cd25334318faa1e0c04f59db152f6", "language": "Python", "lines": 2363, "truncated": false, "block": 23, "row": 15183 }, { "path": "flax/nnx/visualization.py", "sha256": "df8e2f2353a28efcc08b7651a2c8356f76ddcc4725bbcac913fa550e410b8784", "language": "Python", "lines": 142, "truncated": false, "block": 23, "row": 6492 }, { "path": "flax/serialization.py", "sha256": "f93d141b93f283d3022c5a94f85feddb5ad2d4ad721de1e978142cc64bb19697", "language": "Python", "lines": 465, "truncated": false, "block": 23, "row": 11957 }, { "path": "flax/struct.py", "sha256": "b4f69906a4be2387e014c82fb292aea63d8292659082e570d85fc2481bb64787", "language": "Python", "lines": 240, "truncated": false, "block": 23, "row": 8991 }, { "path": "flax/testing/__init__.py", "sha256": "51aad7a63cb0ad36866090583dfd23a04cc96b059abd1b3f7f9f18649a307e1d", "language": "Python", "lines": 18, "truncated": false, "block": 22, "row": 27776 }, { "path": "flax/testing/benchmark.py", "sha256": "83f1a425c2e7dcca923ffe9a221cbb8d05bae6899079e2f2c3ebc0f3e8be5838", "language": "Python", "lines": 285, "truncated": false, "block": 23, "row": 9915 }, { "path": "flax/traceback_util.py", "sha256": "8d47b74abc0276514cfabb2cfa9b2059560bea9c7e45df1d4adc64844f20f353", "language": "Python", "lines": 59, "truncated": false, "block": 23, "row": 1607 }, { "path": "flax/training/__init__.py", "sha256": "b894e2a72617f375dacd79796e47f5ec41780e3244e6cd58842037bd2d2f5eaa", "language": "Python", "lines": 15, "truncated": false, "block": 22, "row": 27673 }, { "path": "flax/training/checkpoints.py", "sha256": "f61afd01d84edcfa450225426fc3e32e155cfc4021237a00acded1c526889664", "language": "Python", "lines": 1257, "truncated": false, "block": 23, "row": 14774 }, { "path": "flax/training/common_utils.py", "sha256": "4f331152d11726c57de0cf131da39b931ebcea21ecec9a7e51e95a963a06a304", "language": "Python", "lines": 108, "truncated": false, "block": 23, "row": 4529 }, { "path": "flax/training/dynamic_scale.py", "sha256": "08780aa2d4aa3ca77d89d9f54802c8274c66fd695d8e18403df351da4129985d", "language": "Python", "lines": 163, "truncated": false, "block": 23, "row": 7445 }, { "path": "flax/training/early_stopping.py", "sha256": "bb2db40b81b1cd823b195d2b7bebd81fe22d8fd7ffbb4a5fe8cdae64f7bc2200", "language": "Python", "lines": 95, "truncated": false, "block": 23, "row": 3697 }, { "path": "flax/training/lr_schedule.py", "sha256": "498096504825fe2672399a4815a3f6c332209e26a6ceee88d4c0d2d51e0796c8", "language": "Python", "lines": 189, "truncated": false, "block": 23, "row": 8709 }, { "path": "flax/training/orbax_utils.py", "sha256": "2c707ad1fcfb47d6cedb31779744652be6010f78be3527cf9ee92577bef643a2", "language": "Python", "lines": 97, "truncated": false, "block": 23, "row": 3550 }, { "path": "flax/training/prefetch_iterator.py", "sha256": "2a78557566c60befb66136b129eb862537c7d93aefb634163f79a4dece8a1d94", "language": "Python", "lines": 100, "truncated": false, "block": 23, "row": 3330 }, { "path": "flax/training/train_state.py", "sha256": "94bbc4e4e03ead8a349a0f2934b6a4739dd76662655da5eb0b15dd5ef8ee3698", "language": "Python", "lines": 140, "truncated": false, "block": 23, "row": 6080 }, { "path": "flax/traverse_util.py", "sha256": "43dac571442585a1a00f055926f0412f8bc92852f5850ee1133674ce29145bc6", "language": "Python", "lines": 510, "truncated": false, "block": 23, "row": 11822 }, { "path": "flax/typing.py", "sha256": "4934560ac12565f95556d69f0e6f69140d9cc6fd9c7b79f6f846e3232ba105e5", "language": "Python", "lines": 341, "truncated": false, "block": 23, "row": 9088 }, { "path": "flax/version.py", "sha256": "4bcaa57bea99d6cf8f3969684d0fec5137ea33f28d63083c7ba630af59c8101c", "language": "Python", "lines": 16, "truncated": false, "block": 22, "row": 27788 }, { "path": "flaxlib_src/src/flaxlib/__init__.py", "sha256": "d8913a0061f94a17b4eee8a7e06e38df2b7f47507932f78c7342e8ecb0613f87", "language": "Python", "lines": 19, "truncated": false, "block": 22, "row": 28257 }, { "path": "flaxlib_src/src/lib.cc", "sha256": "a709d443cfe139641db892a4dbba41cbcd5e28d880413853d50c79d680a0b1cc", "language": "C++", "lines": 487, "truncated": false, "block": 22, "row": 6255 }, { "path": "nnx.py", "sha256": "c27aa39d879d9c436afeff0ebc621afe29f1c6fc62d890b552351e102ab87e2b", "language": "Python", "lines": 34, "truncated": false, "block": 22, "row": 29006 }, { "path": "tests/checkpoints_test.py", "sha256": "9330040cca941afc2feaf0682ec24d44336e3f246a66b63b1a6e3a66c6dcfd7b", "language": "Python", "lines": 493, "truncated": false, "block": 23, "row": 12701 }, { "path": "tests/colab_tpu_jax_version.ipynb", "sha256": "edd538568c8f5fe497602de898667bf9637a79e90f5c06275d5bed52053da7fb", "language": "Jupyter", "lines": 28, "truncated": false, "block": 22, "row": 12454 }, { "path": "tests/configurations_test.py", "sha256": "6994eae69019e429034bab442fbac7f6ccb26a871c52b484355f36f52bf9ced3", "language": "Python", "lines": 58, "truncated": false, "block": 23, "row": 1141 }, { "path": "tests/core/core_frozen_dict_test.py", "sha256": "061bcd40671526d226eb2923f525d948e324459e0aba6b33ffae7cb46cbdf27a", "language": "Python", "lines": 178, "truncated": false, "block": 23, "row": 6584 }, { "path": "tests/core/core_lift_test.py", "sha256": "4508022400b79f883e95691d43ec76638181d01519da207bc4fabe19ddee2110", "language": "Python", "lines": 255, "truncated": false, "block": 23, "row": 9285 }, { "path": "tests/core/core_meta_test.py", "sha256": "3681d2470bfc54e82e978a2cfc967ab81f30382bdcf2cb9b11a759deb737f41e", "language": "Python", "lines": 218, "truncated": false, "block": 23, "row": 8081 }, { "path": "tests/core/core_scope_test.py", "sha256": "3a6fb3d0c91de43a96b2131c947e9143d2e4588471958c7c5dd96e5672fbed50", "language": "Python", "lines": 295, "truncated": false, "block": 23, "row": 10140 }, { "path": "tests/core/design/core_attention_test.py", "sha256": "dccf6416985f1c1cc73621f705a2885bcf8d7956838cf63f44372fedb2d12679", "language": "Python", "lines": 171, "truncated": false, "block": 23, "row": 5991 }, { "path": "tests/core/design/core_auto_encoder_test.py", "sha256": "2927ef5465925b7dddb78bb84426174b2b757a670d3643651ae5951cf0c004ee", "language": "Python", "lines": 172, "truncated": false, "block": 23, "row": 5672 }, { "path": "tests/core/design/core_big_resnets_test.py", "sha256": "29c73582bc8e0bca691a91f579bc366149ec34d29c5c66767f496effc0e3da2b", "language": "Python", "lines": 96, "truncated": false, "block": 23, "row": 3124 }, { "path": "tests/core/design/core_custom_vjp_test.py", "sha256": "e0aafc5511c6c2cab5349e01ad2d09af95e65e6008721c42c1e461d80a6b0706", "language": "Python", "lines": 81, "truncated": false, "block": 23, "row": 2460 }, { "path": "tests/core/design/core_dense_test.py", "sha256": "d786a8180815a2c9e68d77102b44eb70083c5ca510abff61b3c8b3a0b160177b", "language": "Python", "lines": 176, "truncated": false, "block": 23, "row": 5691 }, { "path": "tests/core/design/core_flow_test.py", "sha256": "9e567026c23bd235d19fce812d2434ce1b481509643ead967fff8fde2a61c4d4", "language": "Python", "lines": 87, "truncated": false, "block": 23, "row": 2718 }, { "path": "tests/core/design/core_resnet_test.py", "sha256": "87929fcca712a10c2e698e7be45186657b3a3cff2e2ca755df49f8a19b6dbd2e", "language": "Python", "lines": 144, "truncated": false, "block": 23, "row": 5839 }, { "path": "tests/core/design/core_scan_test.py", "sha256": "dde89997e456c8c47c236b66d5e73de393cafbb105d3f26fb90f2772a74b5eb6", "language": "Python", "lines": 92, "truncated": false, "block": 23, "row": 2580 }, { "path": "tests/core/design/core_tied_autoencoder_test.py", "sha256": "2ae4cb68444d78caec1570285392cc8e46b66b9a3d46cea1d439a73aab4d34a3", "language": "Python", "lines": 85, "truncated": false, "block": 23, "row": 1865 }, { "path": "tests/core/design/core_vmap_test.py", "sha256": "4a7874d049d99e29b9c735269ea6afab56be2a59d0d00fa67af9fb2ef46ba654", "language": "Python", "lines": 97, "truncated": false, "block": 23, "row": 2674 }, { "path": "tests/core/design/core_weight_std_test.py", "sha256": "51dba1d42be60b01231cee083492c624697e5792fb12c0e426296386166807e9", "language": "Python", "lines": 83, "truncated": false, "block": 23, "row": 2486 }, { "path": "tests/cursor_test.py", "sha256": "0cf51c37a7b264f5ea93161b09bd28eaca8c094679f73079db9cf3315a3a8291", "language": "Python", "lines": 832, "truncated": false, "block": 23, "row": 13868 }, { "path": "tests/download_dataset_metadata.sh", "sha256": "572ecd83e4db19e545355c200f543cd0c63f41143448ca9d16636f82dd537098", "language": "Shell", "lines": 26, "truncated": false, "block": 23, "row": 17760 }, { "path": "tests/early_stopping_test.py", "sha256": "6c233d999c93786ed660a0f00e91b8b95c9796c199aee419ba0420b838ef6f00", "language": "Python", "lines": 113, "truncated": false, "block": 23, "row": 3284 }, { "path": "tests/flaxlib_test.py", "sha256": "4539dbabdafa147119f95016b3bb98154fd0f08c4da6e190d8e96be6dc9c2e31", "language": "Python", "lines": 25, "truncated": false, "block": 22, "row": 28321 }, { "path": "tests/import_test.ipynb", "sha256": "38be5003c754475e03203e7ba50a672afaa67b850735b1d370632fabf7d5580a", "language": "Jupyter", "lines": 25, "truncated": false, "block": 22, "row": 12447 }, { "path": "tests/io_test.py", "sha256": "09daae0eb214b8a21d58a4e133ac2bc908ffd4c3cab78e6e61c1210a34cbb94a", "language": "Python", "lines": 253, "truncated": false, "block": 23, "row": 9350 }, { "path": "tests/jax_utils_test.py", "sha256": "5e1d39aee5364f4620c4fc9c2a809bafc1a5dd2cc69888e62763a363a2630df9", "language": "Python", "lines": 185, "truncated": false, "block": 23, "row": 8027 }, { "path": "tests/linen/initializers_test.py", "sha256": "397a99622b7e8ac2f5aeb58ef0b78077d2fcab6145db4ab12aa6044d4e910633", "language": "Python", "lines": 64, "truncated": false, "block": 23, "row": 1356 }, { "path": "tests/linen/kw_only_dataclasses_test.py", "sha256": "6cae6ed2f06dfebc05b4281530429cf73770de29824474dc23a421a10106f603", "language": "Python", "lines": 149, "truncated": false, "block": 23, "row": 6014 }, { "path": "tests/linen/linen_activation_test.py", "sha256": "e86d39173e33c3506fb53b9fbc9bffbbbfeef21feedc5e11e903638db8074b82", "language": "Python", "lines": 49, "truncated": false, "block": 23, "row": 437 }, { "path": "tests/linen/linen_attention_test.py", "sha256": "208e6a2980341e607a943ad12f7df0bc058b5fdb6ccd4e53e5c84f378fb5fcc2", "language": "Python", "lines": 627, "truncated": false, "block": 23, "row": 13265 }, { "path": "tests/linen/linen_batch_apply_test.py", "sha256": "748d08c4e5cf6779c17ad7bc6859b5ee889befeac9ad45d0a7ce8da173764bbd", "language": "Python", "lines": 77, "truncated": false, "block": 23, "row": 2274 }, { "path": "tests/linen/linen_combinators_test.py", "sha256": "3f9bd33ec998bc8db628edf11891de44d726b6384a198fbd4aaf330757aad66d", "language": "Python", "lines": 192, "truncated": false, "block": 23, "row": 7098 }, { "path": "tests/linen/linen_dtypes_test.py", "sha256": "f878f0462405eea50f5fa54068245a6987f27f76002a8bea72c9a385ee1d4231", "language": "Python", "lines": 53, "truncated": false, "block": 23, "row": 521 }, { "path": "tests/linen/linen_linear_test.py", "sha256": "10c29054559e142f2287cb04901be460a5d847b3c347c2889efda5d04d884ceb", "language": "Python", "lines": 1385, "truncated": false, "block": 23, "row": 14740 }, { "path": "tests/linen/linen_meta_test.py", "sha256": "98f37c9df1ad8c809fd0bb0f5c478f4c58b75ecc33fb0bfc21c53c65bb0e8205", "language": "Python", "lines": 192, "truncated": false, "block": 23, "row": 7522 }, { "path": "tests/linen/linen_module_test.py", "sha256": "e84519aa2d1e4e07e2b2f64b210037dfbfdc7e14025a27d6e725eda752775ef2", "language": "Python", "lines": 3466, "truncated": false, "block": 23, "row": 15291 }, { "path": "tests/linen/linen_recurrent_test.py", "sha256": "076d7b913dc86059d87f424c98674ca1e65f414eb04eef1c142cae4cc50a375f", "language": "Python", "lines": 518, "truncated": false, "block": 23, "row": 12415 }, { "path": "tests/linen/linen_test.py", "sha256": "da93bc46283d29695dc2fdf3864236b10008e0d9097046ad3fbdf6370f3932b6", "language": "Python", "lines": 1539, "truncated": false, "block": 23, "row": 14928 }, { "path": "tests/linen/linen_transforms_test.py", "sha256": "0c4232f98d3889c04aaebbbcb92cf161f7791b79869f07ac7561e5eeae6bedcd", "language": "Python", "lines": 2796, "truncated": false, "block": 23, "row": 15190 }, { "path": "tests/linen/partitioning_test.py", "sha256": "5eca702e0fc73f1a2873f436d393ed0600aea864d69f96d16d53f226239aeac6", "language": "Python", "lines": 591, "truncated": false, "block": 23, "row": 13102 }, { "path": "tests/linen/summary_test.py", "sha256": "1e3102a25a8c66f32676a09e63c49e90bc7f1b94c21f0bc3ac185450dc78d662", "language": "Python", "lines": 811, "truncated": false, "block": 23, "row": 13769 }, { "path": "tests/nnx/__init__.py", "sha256": "102ae46229b5535da432c73fd65d2bfba76b6c84d31da3bae090792d90ae57b0", "language": "Python", "lines": 13, "truncated": false, "block": 22, "row": 27562 }, { "path": "tests/nnx/bridge/module_test.py", "sha256": "5d7934befd63f12978a84f1aa2309ca3692deaad4b3a25817c78078d6755aa56", "language": "Python", "lines": 521, "truncated": false, "block": 23, "row": 12446 }, { "path": "tests/nnx/bridge/wrappers_test.py", "sha256": "50584c23a5dc8b72fb28800082820b243fb0cb29c247895e1ae5af5945a22b05", "language": "Python", "lines": 532, "truncated": false, "block": 23, "row": 13147 }, { "path": "tests/nnx/containers_test.py", "sha256": "8ed78188a9a5affee7a46c907d779687a6f1ef58b5bb0ea751a1613326b35084", "language": "Python", "lines": 72, "truncated": false, "block": 23, "row": 1227 }, { "path": "tests/nnx/ema_test.py", "sha256": "a3701946b7a9b60be0a5726ba9ed6324d59482007dc2b13e1450f6823e161f60", "language": "Python", "lines": 117, "truncated": false, "block": 23, "row": 4310 }, { "path": "tests/nnx/filters_test.py", "sha256": "ab8494edc592735ca9c06589910f2e29125de14387c533225e3c535fcf49fa34", "language": "Python", "lines": 40, "truncated": false, "block": 22, "row": 29709 }, { "path": "tests/nnx/graph_utils_test.py", "sha256": "b7819f2e0a616a7b99c7851b770ca71f45c389b87bc47e41cd0aa168901e3a17", "language": "Python", "lines": 2153, "truncated": false, "block": 23, "row": 15118 }, { "path": "tests/nnx/helpers_test.py", "sha256": "9df71d2d1dc01468c04a396144aa2c7f83b5104527516f578526cde4ab555d46", "language": "Python", "lines": 257, "truncated": false, "block": 23, "row": 8671 }, { "path": "tests/nnx/ids_test.py", "sha256": "4e5ef73b56244e0beb4b0e15e1bc2c024ca61af3312f9ffb1516803c56ea775b", "language": "Python", "lines": 35, "truncated": false, "block": 22, "row": 28822 }, { "path": "tests/nnx/integration_test.py", "sha256": "5e0201a45a1b10cc8496343c04eaae5750ad2fa4627d255c5ad3a3e91e14ae32", "language": "Python", "lines": 647, "truncated": false, "block": 23, "row": 13129 }, { "path": "tests/nnx/metrics_test.py", "sha256": "67dc5482eb17370f9687bb3e254fab49991f35cd464961e0230f65073868cd48", "language": "Python", "lines": 283, "truncated": false, "block": 23, "row": 10279 }, { "path": "tests/nnx/module_test.py", "sha256": "89de4a92dcaa45abfdcfbe4baf300ce6a4a55d39e6695e5f0a7e78981c583f93", "language": "Python", "lines": 1454, "truncated": false, "block": 23, "row": 14735 }, { "path": "tests/nnx/mutable_array_test.py", "sha256": "7d2f39be463f5b2256aa45266c66ce42e9a75e9e29960c1f868609d682a21f18", "language": "Python", "lines": 1217, "truncated": false, "block": 23, "row": 14474 }, { "path": "tests/nnx/nn/attention_test.py", "sha256": "50ef5802aa62a98ba633f00a9b8d1bc73d7898af4ca404a29b23ea612b8afc19", "language": "Python", "lines": 571, "truncated": false, "block": 23, "row": 12704 }, { "path": "tests/nnx/nn/conv_test.py", "sha256": "733a0dca500f5eb5b78a73f5da7756eece8ddd035b87217cd466c0a200c6fc1b", "language": "Python", "lines": 202, "truncated": false, "block": 23, "row": 7208 }, { "path": "tests/nnx/nn/embed_test.py", "sha256": "f8b8378e9ff3015a16d84a008219d06d146287e52f06df9de0b1589e6850f14e", "language": "Python", "lines": 77, "truncated": false, "block": 23, "row": 1833 }, { "path": "tests/nnx/nn/linear_test.py", "sha256": "84f63679acc3814c2152df79887d4314aabfb1a5a62c5e1199c52731e581cd57", "language": "Python", "lines": 418, "truncated": false, "block": 23, "row": 11785 }, { "path": "tests/nnx/nn/lora_test.py", "sha256": "9b95adc01257e2c0b9bb4223fc92a7493939d7da26188ef7bec9dc9cdf6814be", "language": "Python", "lines": 156, "truncated": false, "block": 23, "row": 6516 }, { "path": "tests/nnx/nn/normalization_test.py", "sha256": "dcee2c1f0edd72928cbc1d55929d18713d4a809756dd40f3d8dfa00fd6ecf3ef", "language": "Python", "lines": 594, "truncated": false, "block": 23, "row": 12913 }, { "path": "tests/nnx/nn/recurrent_test.py", "sha256": "4ee2b49483a29a5baa29e10352016a4d00ad808a4b3ec7257d882d20c5c4065e", "language": "Python", "lines": 645, "truncated": false, "block": 23, "row": 13091 }, { "path": "tests/nnx/nn/stochastic_test.py", "sha256": "77dd2edb1a2367cfc0a1f21357f5e3e73adc6f87182fc087743361c6228f2b8a", "language": "Python", "lines": 111, "truncated": false, "block": 23, "row": 3909 }, { "path": "tests/nnx/nnx_compat_test.py", "sha256": "bb8f0d550299bb99bf4d275a4be190fa5260dbcfbe75ecc30ac9f0818a91c56d", "language": "Python", "lines": 88, "truncated": false, "block": 23, "row": 2608 }, { "path": "tests/nnx/optimizer_test.py", "sha256": "447b170468a35f4a89319c71899701ed249fab0c95a8841f7d7f4c4200da32df", "language": "Python", "lines": 488, "truncated": false, "block": 23, "row": 12349 }, { "path": "tests/nnx/partitioning_test.py", "sha256": "a05226ac05106acee06377d4001eb3b9e0c538b6c1e646ce0af16bf8df297125", "language": "Python", "lines": 162, "truncated": false, "block": 23, "row": 5793 }, { "path": "tests/nnx/rngs_test.py", "sha256": "659a544dac01add2e4f4d48ced26acea30275aa9226d81cf07e8ce07f743b3e0", "language": "Python", "lines": 466, "truncated": false, "block": 23, "row": 12167 }, { "path": "tests/nnx/spmd_test.py", "sha256": "c85901b74509dccd1e25bf100885b05817b20f59ecfb18b99c6a20ea2e97f1cd", "language": "Python", "lines": 618, "truncated": false, "block": 23, "row": 13473 }, { "path": "tests/nnx/state_test.py", "sha256": "6cb558d6654cf02528b2298173e598dda2dc56d8b67484c407cc16df33fa46c6", "language": "Python", "lines": 141, "truncated": false, "block": 23, "row": 5159 }, { "path": "tests/nnx/summary_test.py", "sha256": "f9ac62fc1f2d80398827230720ea0d68c915e38c80a8aac6eaa974bc2e436d3a", "language": "Python", "lines": 334, "truncated": false, "block": 23, "row": 10604 }, { "path": "tests/nnx/test_traversals.py", "sha256": "a61a28239b6f56bab68f0984a96872291479d16f35b19ae4233344719f0fbb47", "language": "Python", "lines": 105, "truncated": false, "block": 23, "row": 2917 }, { "path": "tests/nnx/transforms_test.py", "sha256": "73764b823a6a55a21668a7e579875ae64fc64556cd1c7cf130c13895bfa57b51", "language": "Python", "lines": 6885, "truncated": true, "block": 23, "row": 15405 }, { "path": "tests/nnx/variable_test.py", "sha256": "d4beac661b5d3832a9f4b315bc3a6aeb17b6e8759c3908d9d07af34cda6ad89b", "language": "Python", "lines": 236, "truncated": false, "block": 23, "row": 8358 }, { "path": "tests/pickle_test.py", "sha256": "5b89ef5e93f51893eb2e4553087700ebb1f6f0a6e2ceab2ad9c61bf8464d59a8", "language": "Python", "lines": 34, "truncated": false, "block": 22, "row": 29577 }, { "path": "tests/run_all_tests.sh", "sha256": "fbaa818c8d1f395f0de3454e670a98db276f23a4fe6c91cea0a5a62f6e75be1e", "language": "Shell", "lines": 159, "truncated": false, "block": 23, "row": 18406 }, { "path": "tests/serialization_test.py", "sha256": "7807cb35c55069459309b2bfa558992a67ec4d1fa30bb752fea0e14d698746bc", "language": "Python", "lines": 557, "truncated": false, "block": 23, "row": 12534 }, { "path": "tests/struct_test.py", "sha256": "80fde78f910716564872c1fa6e05c2ccf9ce535ed518238e2e14fe8950d38008", "language": "Python", "lines": 194, "truncated": false, "block": 23, "row": 6578 }, { "path": "tests/tensorboard_test.py", "sha256": "6a25bd5f346b7ab2d13a315343bcd31e51216ccb513d531eac9701273e175a0f", "language": "Python", "lines": 399, "truncated": false, "block": 23, "row": 11960 }, { "path": "tests/traceback_util_test.py", "sha256": "c35b5bb10747a90900d7af8ad46cc1ecd6e3876121605faf11e8cfc36a24f0da", "language": "Python", "lines": 204, "truncated": false, "block": 23, "row": 7413 }, { "path": "tests/traverse_util_test.py", "sha256": "533d1bd164440af655d23944b6c853be63c22b346f3e0f4b3428433cb1c5e7da", "language": "Python", "lines": 352, "truncated": false, "block": 23, "row": 10609 } ] }