{
  "revision": "d8b17d192b6535ecbd52e68379c39c7f623d6a67",
  "tracked_diff_sha256": "28f3f9a290c277c8ccc12e1b215ca4500db94d48cf4ce9734bb362dab4ffd397",
  "source_sha256": "3d1d43ac09f88a08e4ac078d183ff5468310e027f566c19af4fb122231e94c1c",
  "files": {
    "docs/integrations/orchestrators/vime/dense/README.md": "2f2aae967f96657a09785d7c9d745beb6985b84fd0810ee53510a358e79f1b0a",
    "docs/integrations/orchestrators/vime/dense/REPRODUCTION.md": "980b13934d0abbd5f46c8ab85f1461e5bf29b5a0cdad4c12b3c67d5e643e4ec2",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/aligned_python_entrypoint.sh": "ea700b01da40afd0fc68bf0553c0148f9562598eb026d23baeb760ab9f0d5522",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/analyze_performance.py": "40f6c7624bd5353281cfaed901e9a8cd7ea0e7b3854424a4b16a1947e039531a",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/collect_results.py": "43cd253e9fad6289749df86ef55ee7e5037cedcd63a8d68bd7757e94ada2bcb2",
    "rl_engine/integrations/orchestrators/vime/patches/dense/README.md": "ec56f164c0aced95eedb5573ae27ecefd7c2cde5e415e7746548e02d84d43962",
    "rl_engine/integrations/orchestrators/vime/patches/dense/sources.json": "1f230febcf1483f8cb7217efc08856af90ff32cb503d64558c591d06350b7a9d",
    "rl_engine/integrations/orchestrators/vime/patches/dense/vime.patch": "a7010a4408a10e2030d2a8bdf5ebae0f5db7ea2c6890cca4a867142a1ca41b37",
    "configs/experiments/vime/dense/experiment_matrix.json": "9cd397f61408e2918de9d0efa07893e6eaed52576f724efe89194c2ff4a6588c",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/plot_results.py": "b30ead4218844e4869f8896f302207a7f34bd9489e1ad8c196e3b23d3a12b95e",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/prepare_dapo_data.py": "e50cbf1c37076ccd95f01d6966911af778ef7f315f8d68596155102833680279",
    "configs/integrations/orchestrators/vime/dense/qwen3-8b-tp4-cp2.json": "b416a023d16adcd6dbfe0d5f240b4e8cb2b8cda24e338fa69e2627aabb563803",
    "configs/experiments/vime/dense/qwen3_8b_multiround_math.jsonl": "287e303496f3d2ecae49cd115e745b9edd18cca45f1412af38d228ef395db500",
    "configs/experiments/vime/dense/qwen3_8b_tp4_cp2.json": "a5a6b6cdd70857655b991fbc49dc0e1d92a2d5a2e06d4f95e65970709eb1f46e",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/README.md": "f7b7cdb3312fd0e172723cbbafce3fb8134496a76930b30bd65ad2f3da0b4ddd",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/consistency-summary.pdf": "070cfb9f8a82f7b0ab580acb18027aa05ecd67da4c3074de161be11c7544abcd",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/consistency-summary.png": "b27eb187a86ece46f626934fed0e0711d4e03604a2738add6a9600c0cfb6dfa1",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/consistency-trajectories.pdf": "a53baa5874f972d4e929939399ab23287c00f8374f0d0c0e640e491a87f0cab2",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/consistency-trajectories.png": "51a6e7ff04fd6bdaf9936e39527e1026bbf0cda4dbfc77564fb68f40cab943fe",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/training-dynamics.pdf": "8afff01bf22b81390a12e18581cc9e4841102bdb8dcc155c409b15f67e6259a1",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/figures/training-dynamics.png": "359adbb196ed78de25c781d9610333d885df7677681f9fcaf524d7770233acff",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/plot_report.py": "0cc4eab07cd32339099c2a6bd3cad642ee642d3146bc5054914d29fd1988b4f0",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/rounds.csv": "b2fd4f2a551b855eedb0b695434cefb9dbc5d2735c27113d8fe2a53d94a9dcda",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/runs.csv": "465813ce0de6269e5a21ebdbd652aa44dc0b2236b0ebdeeac914d04605a84b85",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/summary.csv": "410849474474118af8092fea010f051454b3cd21ad6bbf2a5ae1a209d84a2f35",
    "reports/archive/experiments/dense/convergence_s1234_g10_g11/summary.json": "4dafb800664303bf702411d198fdfa9b93957926f342de7f9f9601149ed42661",
    "reports/archive/experiments/dense/h100_gradient_repair_20260919.json": "58620d81cd6689e749b8a9fab2cd5d95b81058ac6fe40a5972ff350c9d774f8a",
    "reports/archive/experiments/dense/h100_gradient_repair_20260919.md": "a1deb41caf4225ed737711d9104db3f701a619e2fe0a585b1bf57d77d608462b",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/README.md": "f5ffa8fab733f96bd6e96e2c86d1b527e9449bc79daee5cb2ab74e51e7503515",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/consistency-reward.png": "92fabccba45d22a5158a53378488937432e1c05f004c52964497f97fac2b0bbc",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/mean-logp-diff.png": "16bbc4cd8ce64ce3eab3dbc7b23d1b46eea5c42f41524842e27ea616e11d3f97",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/plot_report.py": "56aeb88b9cd9b189e5ee5508bdf61366be36ed4a878c6c9ce20f7edd2cc603dd",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/rounds.csv": "b33124c70f58ebd5fb0790bffee2a85ee4033c31a31a823423429c7e0f8e69c4",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/summary.json": "118052231166d291a707375ced3be4cf65134f39a70bcae5960acf3084a09fc5",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/validation-summary.json": "da112a250868d68be19ba42835c38ac0a4b224b633e1bf8a47ef3463a5b0113e",
    "reports/archive/experiments/dense/pr396_rocm_s1234_g10_g11_200/wandb_upload.py": "5ca7a1be33e6c5baed4ee52f97cca6a33e3cfe6260d1a59097ad917d92528fc8",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/README.md": "5fd3d4d015cb7857dcae35f0a8aad0d3296744fc4b0b45f4bfa0e85bf6efaf11",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/consistency-reward.png": "b6b1fa7954445105db52c5c2025960f35a01add44849c1560cf37f66358da398",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/mean-logp-diff.png": "b02334e54affeaecbb414d02abe58b361c653cfe71a1b95c03d78a36a489d2db",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/performance-matrix.png": "c645d950f55ff858124248d9fe7eab42612a9ee129502d04ed1f35484bb236a8",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/performance-statistics.png": "e9ef76900fb5d05308ad9997fbc22326b6c760ec425d7939f53620cbe3975b36",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/performance-summary.png": "b9ddc9cd1bdaf0894c1bf42f99f6bc7c3bd66f5d9d4d13a98bf74e291d69b329",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/performance-trajectories.png": "578b05a32f1d58bc8f3ac2b1b2a6190fc6145fa22dfcb53f9a2469ec51e40233",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/plot_report.py": "6f5067c86c929bf51c39bf19c17fe3fe21923faf4706cc28f71d8beca1b499fd",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/rounds.csv": "c71618b09730ad56929d392b98612432c9353c13b948f22f641345996b8ca065",
    "reports/archive/experiments/dense/scale_reference_s1234_g10_g11_optimized/summary.json": "7cbfe3f1dcfe3fd4693f9eca6b51d96eb42f4ce0e97eb90c080876d99f5037f3",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/run.py": "4c333ec6f8abf4b9ff73c98b2be0a2035eb160dea2a70ef1928e03fced3929d0",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/run_arm.py": "fb30c21cbd43165288d50eccc819cfb7a5cbe2781c0723952f7a330f299ad6ce",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/run_supplement_suite.py": "6c6055c87af5879ee4f8643cb0750b344432e8058c181acd165aae92f4c956f4",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/validate_artifacts.py": "75914362572ef18b396c50ab29e0ab68b764f73f341b87dd00970579702c5425",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/validate_run.py": "22b99abfb3bf3db39a011008b309650688e36f35738221dbc856d99cfc6ba2fa",
    "rl_engine/integrations/orchestrators/vime/experiments/dense/weight_audit.py": "616340ec45c4f7a6ca56e4299e52a58c766ed55e7197699da5b0f3a506eb2156",
    "rl_engine/_C.pyi": "b5bb1a518cc0a936b093c5276c8e2268422d424546dad6264a80a16d117f208a",
    "rl_engine/_C_npu.pyi": "5ab04540f130c7ffef883ced5e052e7b2c2091775ce9784ea8439805214335b9",
    "rl_engine/__init__.py": "f8997a95bddb5f665da0749efa603c7d316bde12653652edac74e449aaa41822",
    "rl_engine/alignment/__init__.py": "7ce7dbf868b98efcebb7e752590dc2f70583575e02689281c60b260800444d80",
    "rl_engine/validation/cross_config/__init__.py": "c8e1a861fe13c0e7843ef61dcad343dc1e858026fb20e1ddb8f7d8ada7e5dd13",
    "rl_engine/validation/cross_config/__main__.py": "8be677dc5cd3967abaad6b2bcd3db705d7a2b9bca014ad9aefe6157be8704f42",
    "rl_engine/validation/cross_config/_execution.py": "0cb9d598e9b520f167251a5ff1e04c99776db7dbde9c3307108954ea909b5d6b",
    "rl_engine/validation/cross_config/_json.py": "85253385bb927eca17b00cf089924c039d8d69df6fde80370d829d39916aa6fa",
    "rl_engine/validation/cross_config/_provenance.py": "5fbe1f171910f3176b9bcf6a83251e540097d0d0f09eab6c7c257672fd0787fb",
    "rl_engine/validation/cross_config/_resume.py": "3b954c10e2b93ff0c0f7e35d366f899a12d85f9c7a5b632ce5f2e063dd199c97",
    "rl_engine/validation/cross_config/adapters/__init__.py": "8f15b3778c6bc404a1a30d7b41a7565a5a755cc7deb7b7b1ff6d758474a015e4",
    "rl_engine/integrations/common/cross_config.py": "01265586deac443233ea4ba9882cbc5182a9b7cb15a8293dd7e307d73852e85a",
    "rl_engine/integrations/common/knobs.py": "3f133e2bc17dad9b272f31f27cc98d5e81fd40721e41e5ec50e89387759629a5",
    "rl_engine/integrations/engines/train/megatron/cross_config.py": "bf1cf8d2c617d64493ce3471a27c6418ab46b62b160140b29d3cde54899561da",
    "rl_engine/integrations/engines/rollout/vllm/cross_config.py": "89caf2615221cfeebb041f2258a947155d42c5235f17852fabed091a2e278416",
    "rl_engine/validation/cross_config/artifacts.py": "53d94ce33053d955555f31386320ed25ce50f72aadd2d715fc05eb365798c62a",
    "rl_engine/integrations/common/attention_binding.py": "ecd4fd7263d842f3c4cd34edc9c8b178244e05dbd448a0f9e4c0bb8118a7982e",
    "rl_engine/validation/cross_config/comparison.py": "3fdad7419102959946d42804e54f300097cb8fec2cf286c5521e707911da98fa",
    "rl_engine/validation/cross_config/config.py": "4ae4a28a3d563e9342c255d8e8cc3192f20aecb3637ec8c7cf39fb44366ff40d",
    "rl_engine/validation/ablation/debug_matrix.py": "6e756c6dd00a58827987c7258687c84d168fb558ab6d9a80346131a5160f7b69",
    "rl_engine/validation/cross_config/determinism.py": "88396f02d4215ce90f9f9c0a3ad600a774a81a734c4031fd74992a99039a7312",
    "rl_engine/validation/reports/drift_report.py": "61b123b6bac036d4f91599111654074a961ebda27ea6ed7efff9bf611a461335",
    "rl_engine/validation/reports/viewer.py": "004e2a10ec222c95f8fa55da291d32d674fef791af91a2588bb290c6796eeec0",
    "rl_engine/validation/cross_config/execution_plan.py": "49088df6f4424cca762577d57fb170674a206713c064b349659dad49f8cb23ab",
    "rl_engine/runtime/operators.py": "322ad7a7e7f85875aec360f652e077755230522975e2da6091064524c52de7c4",
    "rl_engine/validation/cross_config/planner.py": "c9633199a7655b26e777f8eb273de5d9132909af495301b6be543b43f69f438e",
    "rl_engine/validation/cross_config/runner.py": "05a3d154a9c231d5ed1a693b210416648ec98de6f8dd68fca1d97a527d0e889f",
    "rl_engine/validation/cross_config/runtime.py": "90a6dc8b348c8da092d0d2f6792cff01d01a5f67bb37f4f24ac3b94730aff100",
    "rl_engine/validation/cross_config/schema.py": "a23be3e66a6f94df4692590a454e061048e73efbdfd8b0677e6a004a08de87ec",
    "rl_engine/models/wrappers.py": "dd0b4b6118bc6c04b72cf8129b6188ea946117f5a052b77548a26ff960ea65ed",
    "rl_engine/models/qwen3/reference.py": "f9be519547cba3a84ef1f92dfc7e5d2e62056c9bd91b36679b1aebcc7207294b",
    "rl_engine/validation/fixtures/__init__.py": "45066cfaffeccbb95bede4b7405891d2e2c92ab073d4ae729f5e6b5bd5c500a7",
    "rl_engine/validation/fixtures/cpu_cross_config.py": "d028266ce7436050b3efecd077dbc939b85f63a7c2b02dd5a092b465f1904983",
    "rl_engine/validation/fixtures/smoke_ops/SMOKE_OPERATORS.md": "23f0a927fcd0ab0167d4a967e4a0481594883a36cdc29f68ff0f5b0a8f594b97",
    "rl_engine/validation/fixtures/smoke_ops/__init__.py": "7c6cab615425b2cedbcf48416a85b90e3328d3d0b0baa0b7d4ad8bbac7d0d4bd",
    "rl_engine/validation/fixtures/smoke_ops/smoke_only_logp_offset.py": "079bb95cbd0699dd8d5e232b716f4057b05bdf684920b13a77568f5e4682ab08",
    "rl_engine/validation/fixtures/smoke_ops/smoke_only_logp_reference.py": "e734b8d6b24db61330a013af0589216a97fa4fb33cb20174b766a695177159c9",
    "rl_engine/distributed/__init__.py": "53e1e556eddd095f21bd02447b3889f0a7641e3eb13467e13d5b0e19c3bfa396",
    "rl_engine/distributed/algorithms/collectives.py": "6e1848cf77bb5133b40fe71f3f6c7f6988a96bf0ba855c26dd227a3d71524069",
    "rl_engine/distributed/transports/rccl.py": "bca7201a07ca42fb3f51d87d16227a2d3bdda8e3e4980c4ae1ba46edf8221a25",
    "rl_engine/distributed/transports/collectives.py": "95190f3b3bb2030e0819f0f66d7cbc0dd1596863dadd8b7bcdf380557e9efa18",
    "rl_engine/integrations/common/weights.py": "181923a96d335008f449933025dbccaa6970b888d49fa87d6e9b4de807ccff0f",
    "rl_engine/integrations/engines/train/deepspeed/adapter.py": "5e675f4f170aacc8d8aebe77f51afdf3197f47b4090f90c28486271301b3f263",
    "rl_engine/reference/attention/paged_kv.py": "a715199a671a5fbb9c8863b45911fcf9a1edffb22bd4b7dc9e81d9d53e564e99",
    "rl_engine/integrations/common/ray_actor_manager.py": "e78201c3c6e1f22b4a188301a9d94d0b8be3d18ab3173447af3fcbfed3343ddd",
    "rl_engine/integrations/engines/rollout/interface.py": "f89d3cca0c07eaf97b4614c6cda620c6f6a3c886f9e40cfdf9e7de593397a313",
    "rl_engine/runtime/executor.py": "1b0c6614253e56ed52b405bb7910bb5ee0bf9d857b0518e3aaf75e6470094f78",
    "rl_engine/integrations/engines/train/contract.py": "c6d39b883712edd7c1a3de50f4fd582c857f599d2055c51156cf3ba6fd50f272",
    "rl_engine/integrations/engines/rollout/vllm/sampler.py": "a8f876cb0b1a5576af69d902dfa2d1e222193fa9b1965f6fec73de28db515dd1",
    "rl_engine/integrations/__init__.py": "86b637a4d29b5379ff93d6c2e22b7b864b7e531434fc8c03ba67ce6c336063e1",
    "rl_engine/runtime/plan.py": "82635ef19efebd17b2352d376f43185ba9948848e3c7ebaa120c99636271d328",
    "rl_engine/distributed/algorithms/canonical_cp.py": "947c176ebfef812c0316a8868601e474effc60d381282b7208e081e2c6e0028f",
    "rl_engine/integrations/common/operators.py": "b94ded70a56d4647e765b2893b2e642bc487072936e7016491871c8de91fa05f",
    "rl_engine/integrations/common/linear_logp.py": "36e96ad4ccb0f32daf14f387a8d6ea164b85348546797dfd8c23b08c8b2c0966",
    "rl_engine/integrations/engines/train/megatron/adapter.py": "6c81649dd0c6aaf4212579575de581e80d979e13666e5ff3be8a7c156dd46f39",
    "rl_engine/integrations/engines/train/megatron/runtime.py": "06bee2f0fbe1aa8c6dc72b44dc5af73c4e87dd3f8b5bbba51a0f47df61fe5a9f",
    "rl_engine/ops/norm/reproducible.py": "171e5e58459dc489734b5018662576197667c01dfdcdb275eaf4a01a620366b2",
    "rl_engine/validation/ablation/rocm.py": "cd55bca6ce4c11c1ea3e64ec7b6329d6b9c915811a15f0c06d9590ca99f7d71a",
    "rl_engine/integrations/common/runtime.py": "372cd1c867ff4d4442f86facfe29031454a5d1f9c62521b002da92b8ed952420",
    "rl_engine/ops/sampling/policy.py": "973646117816cec79fd77e503de54a49da42355eebb378a1b297e7eb96105692",
    "rl_engine/integrations/common/state.py": "0a62462bfeca73709f8ec45635c483d70effd409a8d8412c7ebc404f98404e33",
    "rl_engine/integrations/orchestrators/vime/providers/__init__.py": "016ccf8236bec7e5586c404c5af45f8ce2296c88ee185a2cd6d673f57e18f72a",
    "rl_engine/integrations/orchestrators/vime/providers/attention.py": "4f493f58ccf43df5b1fcfabc281f0536fdb1eaf0c35d11469e6c9fdfad4bdb5d",
    "rl_engine/integrations/orchestrators/vime/providers/linear_logp_provider.py": "cc9dff7b161b8bc1fa11539c21a51c12242b5f71c856ff30a157de1c9b0cb2a5",
    "rl_engine/integrations/orchestrators/vime/providers/logp.py": "f2aac1725d02ad6602c0a77ce9bda4321ce78d8308216799cf24734d8ea908e3",
    "rl_engine/integrations/engines/rollout/vllm/adapter.py": "225d80882e936423ca53887376e594500949e0ba7afeab12936eaca09108b45f",
    "rl_engine/integrations/engines/rollout/vllm/memory.py": "7de752ab1e2d642be81a1ff62f8371b0c335cb0aa0bc60ae251b2ba5009fcb1d",
    "rl_engine/integrations/engines/rollout/vllm/parallel.py": "c53ef65eab450b0a2ead1ea5caba603c36289f7aee7843bde2ba4643edfa1edc",
    "rl_engine/integrations/engines/rollout/vllm/runtime.py": "1bbcd605559fde16b83d4024980a96c9af9b08b8082c873b487f6c1f794b18e3",
    "rl_engine/kernels/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/contracts/operators/attention.py": "d00d34b54925b7d0d990c33a3f55d73601f689845036b3ca22533ded02501e38",
    "rl_engine/ops/attention/preprocess.py": "45c2114efed269ee8376252021c43b8fc5a2f958a68ddd1ae5f4fb200c138aa6",
    "rl_engine/ops/attention/projection.py": "3320ddba2a428b87e8f09d78685ef2d66d22cf95fbf269718a9a3391541dfacc",
    "rl_engine/validation/operators/__init__.py": "ebf346a8cd9337b507a50d067f8e5d6161719d7949eeccf4b0dcc58a4a6a70cb",
    "rl_engine/validation/operators/accelerator.py": "01f823450950f5a6a21d8b1c306f8f27e065d0e4653cf72d35b35294b86bea0b",
    "rl_engine/validation/models/chain_gate.py": "7f8da6c167772283fc4d4b1d737d51cf0e12978dc453383c200a34599c69a4d4",
    "rl_engine/validation/models/chain_gradients.py": "f59348665085ece3e85e6ebd7213a401b2fb63c6dd2c0e60a90cbc631f3e9378",
    "rl_engine/validation/operators/elementwise_inventory.py": "41c57b37eeb96831d940c4dd0308a38bddbd8ed8d7ef020470fd18eb42107513",
    "rl_engine/validation/operators/forward_invariance.py": "2b77ad264152061231a59a25bb0b9ba083ec7aea16e808536a67bba201887658",
    "rl_engine/validation/operators/four_judgment_matrix.py": "a4c1417fcee34e0d289302e562cc86e8a48893d8a2db947fd31018d4feb8c9fc",
    "rl_engine/validation/operators/gradient_adapters.py": "0448b96e923c60d9257058674a3ddf2b6d154190480c500ec1a08162425db4d6",
    "rl_engine/validation/operators/gradient_invariance.py": "cfadded1a4870c488812b344269d730d5a324e0c8e0d68f0c2dcc8a6e4a642c7",
    "rl_engine/validation/operators/kv_consistency.py": "d58ff6161e2b9bc92543eefb36c10343f7b5bad8ca8790fbb6facc127b2b60e2",
    "rl_engine/validation/operators/op_checks.py": "4df06cdcf543092494c6659305788188a1e39fa4dd6658456aed4fe16800edf2",
    "rl_engine/validation/operators/operator_inputs.py": "af7e0380777b436c98d3aa85aa55531dffbe70f3da86b1ae522172e39052709c",
    "rl_engine/validation/operators/operator_specs.py": "45bf2f2f2e9d8b570de6ab9408094d044b5c1024c97c7e8df1c51bfb1cc55453",
    "rl_engine/contracts/numerical.py": "07664f31bde0cb1247119df4f84d8baf86c8f018fd05b025ac80d73627d95dd6",
    "rl_engine/contracts/profiles/precision/ws1.json": "044167ec21e372017a2758dc09f805b368283c06b83f64061877628cbd101532",
    "rl_engine/contracts/operators/logprob.py": "3dbceb1d51a86e5da872d0d2afee99d2d8ffbceaa45ed729ee5212fdacee281e",
    "rl_engine/contracts/operators/loss.py": "34c99f39d49c36e4a73a5ef764045105d50fc07e227a69491a65b12c8942950e",
    "rl_engine/kernels/ops/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/backends/ascend/__init__.py": "fb32bb1263302b82b5b5fe9a9d4b9c4226dde35f6a3b459d75955d2b8c0b314a",
    "rl_engine/backends/ascend/activation/__init__.py": "f84d36ff50177c85db9a0251b396477cb7131e8fa8e1a6c7558ba761da3003c3",
    "rl_engine/backends/ascend/activation/silu.py": "4a55f709cbac6b183cbb7c11d1b1d75a5bf8fdb4ad0064265aaa8d1ef3f53bed",
    "rl_engine/backends/ascend/activation/swiglu.py": "fca931749b6fd215a82aac49c78a81a10c41b984be907a4ec05c0882fca8e577",
    "rl_engine/backends/ascend/attention/__init__.py": "e08c18104ab7ba620c413e5dd703c63d1333e9ef4c338c1f771bf50b31f7c06e",
    "rl_engine/backends/ascend/attention/deterministic_attn.py": "151cc71343ab6a45f909cdb549fa705da6f83771fa690c0cc52b388eae0a6227",
    "rl_engine/backends/ascend/attention/prefix_shared_attn.py": "e56f49329664c2b1da32d5cbaed54140ddaf6e00604b94ed084766334964cb98",
    "rl_engine/backends/ascend/embedding/__init__.py": "2a72640709d02da5468e30c1b818f69fdba4b8344cf0e7c12e3e3a3eccefc443",
    "rl_engine/backends/ascend/embedding/embedding.py": "dd2baceed6bb8f75d401a1b107d3040cac8dcd7931126e373c8e1f5a84b16b22",
    "rl_engine/backends/ascend/embedding/lm_head.py": "ab72a444d15d03b69196dcee6cd575bd636ff57011dea187c5026621da91f1b4",
    "rl_engine/backends/ascend/loss/__init__.py": "ed99db7ef30bb61333d94352b9f3a777f327951c0bd5f61aa84f134a8f0e6677",
    "rl_engine/backends/ascend/logprob/batch_invariant_logp.py": "8d5f7124e818a002dd010b01343a5d154ec2408accef185bbcf58fab979a99df",
    "rl_engine/backends/ascend/logprob/linear_logp.py": "78b891c515c8b52fe7b86bab6c1b55c88775b769e7661766200c310e01ba089e",
    "rl_engine/backends/ascend/logprob/logp.py": "7a6f236ab71ac0e68121bfbef1a2d979540392a86cb6b47515f37e7fec177799",
    "rl_engine/backends/ascend/gemm/__init__.py": "8eb29993f590cf5d0aba410e560311edf2c3bfc42029a37c894ff9bc33a9e9ea",
    "rl_engine/backends/ascend/gemm/det_gemm.py": "ee60a3cf7657e1037eb9e07075b80e829bc3d72ecf3c31b4ebd7b8fdb92ee774",
    "rl_engine/backends/ascend/norm/__init__.py": "4c4a68757a07d66c2c9e9a0a5eeff45a10799b19d115e2565f21e7cee423cb27",
    "rl_engine/backends/ascend/norm/rmsnorm.py": "5bdd093e4593b45a76d9288a0c2558537d534c74e4045217ee61a3736317f72a",
    "rl_engine/backends/ascend/rope/__init__.py": "70bdccb091582e6d3b137d10184e2d2c1291d00e853ac3ab16226aaf838c53f6",
    "rl_engine/backends/ascend/rope/rope.py": "baa2b2c00b1a9d45e1405149eda893f30abb87537ced7a1bfb525cb65ce3304d",
    "rl_engine/ops/autograd/backward_runtime.py": "874f1a757afda3cdd88f4dc21007d7bede470670787087c4d1c1138f2386c21c",
    "rl_engine/backends/extension.py": "c6c39644061de583a9b853a6f4226fec5258ad2f6c097578a4d4eacf7785d2ee",
    "rl_engine/ops/autograd/canonical_backward.py": "0c443a9453d43bd16f3de72ccf9c681deb4c34088b18dbe199f7288227a14515",
    "rl_engine/ops/embedding/canonical_embedding.py": "99592552ffc4a5efce0cdd237678640182ef411b524f503125225b511b1e0366",
    "rl_engine/ops/gemm/canonical_linear.py": "0db73033170bb8c9b7328395e565f18f165e9f50f506a9c45684e28f02bbc7e1",
    "rl_engine/ops/embedding/canonical_lm_head.py": "217b7094a99a993d749c5837c7055473874378059e6358a011392c1213e97d86",
    "rl_engine/ops/norm/canonical_rmsnorm.py": "79c5794ef304868d0ccccfc88e385ccdf9ab23bee5e00e368204ca58a4a4af18",
    "rl_engine/backends/cuda/__init__.py": "8d36f95e821904ea28af0714a69550c91c899abdc701d772c9be41882b1de2b2",
    "rl_engine/backends/cuda/activation/__init__.py": "9ca106cca60d72d5796988b39bc55f1036491573c3cc104efe89d77575efbb14",
    "rl_engine/backends/cuda/activation/swiglu.py": "a4d41316178d9bbe24f2aad586f3bc6e8f0bc8acac0ae73cd5bd14ec82c47379",
    "rl_engine/backends/cuda/attention/__init__.py": "356c1cfac5b92b35e158751099ee294938f4905497685e3c6b7d2ecea8fc73c5",
    "rl_engine/backends/cuda/attention/cp_comm.py": "61c2133410b6399fedd77f0e8760259f8f6d8fe5b64b16d467124e18118c7cc9",
    "rl_engine/backends/cuda/attention/deterministic_attn.py": "69fd2e9ce564c5d97df2b383d4cd15d19ccc50c80d5e3780524dd6892668b333",
    "rl_engine/backends/cuda/attention/flash_attn.py": "67825f1f5fb15eb8b1f13c8156c77ddc9584b1d121c757f150aaf9c88bc166be",
    "rl_engine/backends/cuda/attention/flashinfer_paged_attention.py": "fcbae6c1c3be468b6b3b941f894858bb9a06a5b9a38fe2c199d26ade0e28a3ec",
    "rl_engine/backends/cuda/attention/prefix_shared_attn.py": "4194e0e5eedf3066e7e25a8544b38c02c4dcc757840d5277f18849e701bbe923",
    "rl_engine/backends/cuda/attention/strict_runtime.py": "310b65e792a88a22afc396fe5caa0b2a9839266ea9f695210e209ccd01682b02",
    "rl_engine/backends/cuda/ffn/ffn.py": "13de20d4017264f885071e14c47dcd8be5cb148389ea19361eff6a1cb4634dd9",
    "rl_engine/backends/cuda/embedding/__init__.py": "9434813570b7ca8cae3e56768e15c7483188cbfa2949b7c8bfa4e3cf18b9c6ad",
    "rl_engine/backends/cuda/embedding/embedding.py": "3d3cfc2501d8593438df50ab9d7c8d7019fc04cc24ac8a78b70f1ed8e70c845b",
    "rl_engine/backends/cuda/embedding/lm_head.py": "ba412d6cb6d070407f1e0038de36e57de64eab6fee3a649c516e7e7fd7b4704b",
    "rl_engine/backends/cuda/loss/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/backends/cuda/logprob/batch_invariant_logp.py": "f9c48f16a56d9f0fece012eed07c4985a5808cac4962b87169ade2959d05ef1e",
    "rl_engine/backends/cuda/logprob/linear_logp.py": "bd107168af45ffc53c4c825d129ee26ad077037823d94e4dd850b829553316d7",
    "rl_engine/backends/cuda/logprob/logp.py": "5073b6f74cd59433402e43cc5d1c38070b45b1d82fbbd1e6530d5788bf1192c9",
    "rl_engine/backends/cuda/logprob/vocab_parallel_logp.py": "b9a1bfbfa7ba18c69c3a067a188a9c3e4ac48c2907c7c4ab8a18b5ad8abe1936",
    "rl_engine/backends/cuda/gemm/__init__.py": "7e97223882696019c4affd634b90797062cac790b942c8ff0d85168ccfb94878",
    "rl_engine/backends/cuda/gemm/det_gemm.py": "1a6cc2d22dca6196e630adc3d652dd78ea75976a86b3860006f81b737df2368d",
    "rl_engine/backends/cuda/norm/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/backends/cuda/norm/rmsnorm.py": "d6845cd42758adb1aa400737abaf20820b74780fb742a1944642f57d40b22eeb",
    "rl_engine/backends/cuda/rope/__init__.py": "e6f59c92c915d408f16f8e39d647357fb9cc05cea5f9670c3a0924dc84e32dd8",
    "rl_engine/backends/cuda/rope/rope.py": "f4cebafcc190168a9a79e152c5415acfd2f0e41dda554b6b1b4b3c95e4c11df8",
    "rl_engine/ops/gemm/__init__.py": "ff50ab1f814a1111da3211e8d6b1c0ac43e1ddcb0cdc42706d2236adcb6f6777",
    "rl_engine/ops/gemm/det_gemm.py": "28d7ae1e1279e7fca89d6955dbbc8ee8752934507a1f66884a8e983dc6d1c06f",
    "rl_engine/ops/autograd/musa/.gitkeep": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/reference/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/reference/activation/__init__.py": "4c4a68757a07d66c2c9e9a0a5eeff45a10799b19d115e2565f21e7cee423cb27",
    "rl_engine/reference/activation/swiglu.py": "b11d527676136ab144c9831ad4596c230aec3ef6d343f716a1d524c4cfa71222",
    "rl_engine/reference/attention/__init__.py": "00d9fada549b13c022e43899c12a75f22be4b350f4092c5929d689b8c04ba506",
    "rl_engine/reference/attention/ablation.py": "3f4f9abc59c37bb01cebe95047966073fa5f16f2d185d0b0800e292abfa72e8e",
    "rl_engine/reference/attention/cp_attention.py": "9c233247c34cd98b74ac29601de9b8848446e88dc7d1280fa19e1ba44ee5d94e",
    "rl_engine/reference/attention/debug_matrix.py": "85f084275855811bef5133efd0ef64ed54de534e335d12ea5930c08edea0ad30",
    "rl_engine/reference/attention/debug_taxonomy.py": "ae26ef6919bfb10bc41b01b4b2e46099dfc8effc412e520b5b34059f3cc75013",
    "rl_engine/reference/attention/kv_cache.py": "853f9e236ec500f28812d439beefc9d12aceb445d08fd3d64d5054df6d539397",
    "rl_engine/reference/attention/standard_attn.py": "f1365dd8305e21a135631c30f93a4f01ee45a3761f85ba4c92a5246efd32372f",
    "rl_engine/reference/attention/stateful_kv.py": "224facd76037397f4cd1df7802aad3f81a0e0b7740b5279a0aa654d8a615a524",
    "rl_engine/reference/ffn/__init__.py": "2cf2938b0649960e0a3487a5dfdf5c908e7f1837148de6431065622632530fff",
    "rl_engine/reference/ffn/ffn.py": "c0e7baeb7205285ba09e54886e67884243dcd0f4d07dd575ecb9af633360cde9",
    "rl_engine/reference/embedding/__init__.py": "e27f6dd2d9baf4c11e70ec5d3fdf90d445e3c4fc754a65961e3f207e3df7f86d",
    "rl_engine/reference/embedding/embedding.py": "5ab7f47a7a76fe3cab71633c5726526a3bb7c893fc62168ed726852d4135e8d6",
    "rl_engine/reference/embedding/lm_head.py": "dc8c12e723846d9fd0a710cae9fca603b390a12c44775833254499d5982fb4fe",
    "rl_engine/reference/embedding/matmul.py": "52dc8060f38ee0130351000d2a94fbd0d6e472e3ae139968126296caad637aea",
    "rl_engine/reference/loss/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/reference/logprob/batch_invariant_logp.py": "04b9f109d77c4a0889d987cc8c70ac6eb2f14cf213fece20154ada6f59a75813",
    "rl_engine/reference/loss/distributed_grpo_loss.py": "857cd2966ba795bbf94464e890a48337203e4ce07085cdcb9eef84b6020de95a",
    "rl_engine/reference/loss/grpo_loss.py": "e6833690ca4c436dff619bce5ca8f3873697962bb6a0a05f8450c09d38d00ed0",
    "rl_engine/reference/logprob/linear_logp.py": "91778d9b0b17ef7b8cad9790ef8eec8518742ca531aef95f143789acb0611447",
    "rl_engine/reference/logprob/logp.py": "7386c90c79d18aaa456f271761c135a472235707a9f9463c3416c0ac7783a711",
    "rl_engine/reference/loss/ratio_kl.py": "9ae64aea4b13bc37e6ba58b92692f0cc371646f145da7683dc15c4d2e7e2bde4",
    "rl_engine/reference/logprob/vocab_parallel_logp.py": "eb6bbcd545269751b9a0b307b54f8d99f6e164ec4de3770b8749ab3764f967c0",
    "rl_engine/reference/gemm/__init__.py": "a791d5850a480ae750cb8d77eb832d6f11bef27c3d6ad09c6e5b0c53bbee48f0",
    "rl_engine/reference/gemm/det_gemm.py": "6179913afd6dd618faa1cfbacca9320934296e8c8af3695d3aeecf95da1590da",
    "rl_engine/reference/norm/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/reference/norm/rms_norm.py": "802a1d5ae35fc0c7567ca3c8b481884b37a538ddd3f23fc5b5b320b1aa31cc44",
    "rl_engine/reference/packing/__init__.py": "4c4a68757a07d66c2c9e9a0a5eeff45a10799b19d115e2565f21e7cee423cb27",
    "rl_engine/reference/packing/pack.py": "ab24b66bd5176d8d28bba24703e3dd840724c1ba7ef031ac9f34eabc9ce7107b",
    "rl_engine/reference/rope/__init__.py": "afc6607c5414a03a505821f1d83d413853b26195727ad41f90edb5e7f2864260",
    "rl_engine/reference/rope/rope.py": "6e05c843bee0a6a2bb96926d74618916ea5a5e96f5fb35b58442b639bb0132b9",
    "rl_engine/backends/rocm/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/backends/rocm/attention/__init__.py": "e11a2172e3db648a0ad8c1ec764db41cfbbaf32b0c23bc5713bcedc9ea356688",
    "rl_engine/backends/rocm/attention/fixed_paged_ck.py": "9f0becae2f7044b432df4cb7e094062b821071a302e71633f84646ac3c524306",
    "rl_engine/backends/rocm/attention/flash_attn.py": "4e79b9087ee6c19fd6a0f3335df803767971f6dddbff748a160b5bc1544d8c30",
    "rl_engine/backends/rocm/attention/paged_gather.py": "f0932f8ae1369fc8124e131d992d365d4b348837329add62f886e786d75b8f32",
    "rl_engine/backends/rocm/attention/strict_runtime.py": "c049334e2a6ef0268075ee7a382d6aa53ecca301ba222d9f82776073de5f809b",
    "rl_engine/backends/rocm/loss/__init__.py": "a4ce57c12284ecec951cd44be85c614ba8b033dc1878edd0c3e0baff95e076e3",
    "rl_engine/backends/rocm/logprob/vocab_parallel_logp.py": "6ee6d2c6654c28df088c1942ece20b2a4fc78e47ebec772b9a555fb2dd919339",
    "rl_engine/backends/rocm/gemm/__init__.py": "ae87d2303b967680a4b3b0c39e30afb29fe1041079ea9d10586dd7aaa6bde0e4",
    "rl_engine/backends/rocm/gemm/det_gemm.py": "727ff7d79eb3560badd4995aba409276732611052e7b30ce6a4ecfad2a0aae6d",
    "rl_engine/backends/rocm/rope/__init__.py": "b30df87b65305302735442b51c58cf747f4095f36767eaaf0ed6e088e024dcd9",
    "rl_engine/backends/rocm/rope/rope.py": "857fabbd82c3fc1fbc10a44e668f482f5f14c2c7eab978807a942e3d5f3cc49b",
    "rl_engine/backends/shared/triton/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/backends/shared/triton/activation/__init__.py": "b660148b076d12bb1170507e24761e810b871762f8a191883f09f044bfa16179",
    "rl_engine/backends/shared/triton/activation/swiglu.py": "cc9af2ee81b68e15252a298cf1e4f464bb7c0baa783eeee941deb0c1551e0c02",
    "rl_engine/backends/shared/triton/attention/__init__.py": "a52a04b95f51bc908a778861ea6743f655a4e657e6f649fc612d25bd3ebd2577",
    "rl_engine/backends/rocm/attention/chunked_flash_attn.py": "3ffb37305300c67366e93185897283255e8e9cabdf1f6f54a845728024560563",
    "rl_engine/backends/shared/triton/attention/deterministic_attn.py": "daac332fe2a4843cea945cec89fdffee9ba1abc5c2c273dffd15ad7bf1b5d0c6",
    "rl_engine/backends/shared/triton/attention/standard_attn.py": "f5568495a2643117c1fedfc793b803425fcbe2fcc2260b2ec1d3b2366c2336fa",
    "rl_engine/backends/shared/triton/ffn/__init__.py": "5b010b5ab054c9920f954df9d9af6f6316f586fb1ac0572c5c56da2e6cea64db",
    "rl_engine/backends/shared/triton/ffn/ffn.py": "d5e087059277d672871edbd64d79789bc7d562c14e9f34815e9b02ec1364d55d",
    "rl_engine/backends/shared/triton/embedding/__init__.py": "6c6ec57de9f82ef42d82760f144a4571cb16b3cd6de33aaa7aa9fd65e8ab1fa1",
    "rl_engine/backends/shared/triton/embedding/embedding.py": "310b1ba7c1f2864340e906fd5c87006d121178d81c0aea2328c7019a35cd87cc",
    "rl_engine/backends/shared/triton/embedding/lm_head.py": "3fd14b31e208c4483dba62d9fcfb466409ab8f711902e3d10c769c0607fd3043",
    "rl_engine/backends/shared/triton/loss/__init__.py": "4c4a68757a07d66c2c9e9a0a5eeff45a10799b19d115e2565f21e7cee423cb27",
    "rl_engine/backends/shared/triton/logprob/batch_invariant_logp.py": "e6fe16d77bc4bcfeadcf12d2e0c14576d03034615b805fcfc47dc393c01aeb4b",
    "rl_engine/backends/shared/triton/loss/grpo_loss.py": "d0366e889a3d9df24ff06ef9cf76df3c1a4592275db88fedc58f0fd42bd8f80b",
    "rl_engine/backends/shared/triton/logprob/linear_logp.py": "752189be9c9cfb457c9667640af5418f4499411070d8b8613ef10b568d3cc7d5",
    "rl_engine/backends/shared/triton/logprob/logp.py": "aba3606ab53c9ac487134591c79c77e5053b34060f63b3b2eb1a9527d175137c",
    "rl_engine/backends/shared/triton/loss/ratio_kl.py": "4ab9b1c59eadb53a878e93e49f5091dae95499426cc7c312b597124704aabfdc",
    "rl_engine/backends/shared/triton/logprob/vocab_parallel_logp.py": "dbe558e30c0a865cb9042ab637b9cd3116f75c8a92da678918586c2e0c364cab",
    "rl_engine/backends/shared/triton/gemm/__init__.py": "22d0e9305b1cc7d66f84d2c5a7772a98ee8b195ce899fd5d20091d15e7ebc11c",
    "rl_engine/backends/shared/triton/gemm/det_gemm.py": "b618a3e38223ab9bfcf3f644581f48f00cc48b50ddc0d772205aac4f6a5e37fe",
    "rl_engine/backends/rocm/gemm/mfma_gemm.py": "20fb321c20a6281660432fce809f1aeb32ffb7780be95d6a4285f4d83ef2f09e",
    "rl_engine/backends/shared/triton/norm/rmsnorm.py": "3896487b1e5bfbeadb9f48e55e1ef7de6b4e9bd62bef14782a976f368a15fc58",
    "rl_engine/backends/shared/triton/rope/__init__.py": "36057dfde755662e5552f3fe1ce48d5664927ece8028ffe546f9d8255767b94b",
    "rl_engine/backends/shared/triton/rope/rope.py": "c394aa150039492819abb6569b3e1d42a9b2870fe87ec5ae1e75e3de56395776",
    "rl_engine/backends/shared/triton/attention/triton_attn.py": "b638c34dccc8b05c812d04bb87021db8c50059ac1020a4a81f4ccc5897b6469d",
    "rl_engine/ops/autograd/vjp_fp32.py": "9efc6dbc5fa2558ad5e1a6402acc00b3bf1c5eb407384b48786aafd49c98e098",
    "rl_engine/runtime/registry.py": "f83126eb12e81affc390c7f0c9c8eca2dfb30031e6f99a4312615865cb40a752",
    "rl_engine/ops/sampling/api.py": "87b5a19cb7756286b9ad130246f429e43b0916de2fab6334612db75eb63e4b56",
    "rl_engine/runtime/semantic_registry.py": "7fe512019488795072ccd9bfefa413447c5616016a9e65168ee4b28cc59c30d2",
    "rl_engine/platforms/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
    "rl_engine/platforms/constants.py": "623cdeb6587169d3c16847da598f469d15632918250e49c197e7a9fb89c6e1d8",
    "rl_engine/platforms/device.py": "80fe8d97d0f14d104c7fe17f3b095e70cff66b55504da5186cc95f29589eb01b",
    "rl_engine/entrypoints/repro.py": "43067f3a74e12a75cde240b1fb5640d23ff6864e4d8573d86d4dc0afb8fc83eb",
    "rl_engine/runtime/policy.py": "8b01d2b4871c9b7462c3987782ba5d19ae16a1fed9150569e8b1f37aa695bef6",
    "rl_engine/validation/common/__init__.py": "95f4211ec9dfb6ba400ed8f22644d217bc899ab78d404d619c04be8e0e7de7f9",
    "rl_engine/validation/common/attention_comparison.py": "9bafaa74801845ccc56be76739b9347c364191715b8772705cc518eff5553469",
    "rl_engine/validation/common/distributed_logprob_comparison.py": "fb8c457156fd35f12416fb9340c5618a9f8dc42882d538f76b8e1b57e2237a5d",
    "rl_engine/validation/common/logprob_comparison.py": "70515286a5d2a67102430054aef7fc91f6e9f183267f5932f207cce21eb55926",
    "rl_engine/validation/common/logprob_drift.py": "b946cc4a7541367a62aebadb6a8f3195cc1406a8c641c01f023582dd8f185971",
    "rl_engine/reference/definitions.py": "3045d74d697807d09a233eca10ecce8335575286db0fb04534f69ce310dc43f5",
    "rl_engine/validation/common/rl_batch.py": "203755a23ca699177c48ece3ce628cbfc12538d61ea261efbc8a8aaa3153aefb",
    "rl_engine/config/workloads/qwen3_8b.json": "80395644b5e84ed1a76729ffc6f78eb11f41b9ab42fb36e2d00f19635d3df0f6",
    "rl_engine/config/workload.py": "23a2b7f1998d294bfd3ddabd646bfa5748b1851941091fa485979850c7a86984",
    "tests/runtime/test_dispatch.py": "62291bbdfc395f7ee1001fab4bcab0d6fb03bc0e7c912b6263370562b63084c6",
    "rl_engine/utils/logger.py": "e039ecda5c5743bcf0045ba8f0d19a638a8be693c3495f07916014b0e693632b",
    "tests/conftest.py": "b995306c704f11a0e54c78a9a30d22338e6adbd11fe2b692d4ae7937b69f9ad9",
    "tests/distributed/__init__.py": "4c4a68757a07d66c2c9e9a0a5eeff45a10799b19d115e2565f21e7cee423cb27",
    "tests/integrations/engines/rollout/vllm/distributed/check_configurable_sampling.py": "8306ad16554e3ac97259a106bff1c016853fb2aad64ff974c6b32c4a0790f87a",
    "tests/distributed/collectives/check_offload_collectives.py": "9cf53a589656cb9959c7b92fbbfe46a9f622846ea29f586f786b8d1473311f24",
    "tests/integrations/engines/rollout/vllm/distributed/check_vllm_pcp.py": "6377b7f909c5718ad968d6690b7b8f17169651e8505837611169289b5fc0bfda",
    "tests/integrations/engines/rollout/vllm/distributed/check_vllm_weight_pool_ipc.py": "349a66b54d0506201ad4ab8ffb07311dc9df31e0a25f00d503a97ed2127f8144",
    "tests/distributed/tp/test_det_gemm_simulated_tp.py": "18c95ff2d6c6e40c1cd92ff83e1dd538b053ae524a5662c1d6fdb5b12673f89a",
    "tests/distributed/collectives/test_deterministic_all_gather.py": "8046ec7dda68d3101e7fcd128587500dc704ac2097e279e5c209a134bd58a95e",
    "tests/distributed/collectives/test_deterministic_all_gather_ascend.py": "df7579e306188ce204069dc40e19ea4cc4dc6327d3a99bef17a927b0714d3ef6",
    "tests/distributed/collectives/test_deterministic_all_reduce.py": "5e01c35416bb00747bc1f5c2acdda679d7f00fa20fd0ae5209b3d8f2f746d021",
    "tests/distributed/collectives/test_deterministic_all_reduce_ascend.py": "00dfa7c2caae838f926a8997d54f71c3c8ad297fc570c2ef3e4501c4f39233c4",
    "tests/distributed/collectives/test_deterministic_reduce_scatter.py": "2425e28d4d9e06f31406995fbd503b592628d495690b993868119ab3c1008a3f",
    "tests/distributed/collectives/test_deterministic_reduce_scatter_ascend.py": "3fe0fb8ed8d681c2d68b4f36533e8fb21d616b3e0e1328b934d8b73099168a1c",
    "tests/distributed/tp/test_qwen_ffn_topology.py": "17dc23c1ad23fd2d630d0ae281f8d594cbeb210eb5562575442765cb867f1dbb",
    "tests/distributed/cp/test_rocm_attention_transport.py": "635820cf2dc2f5eb2cca60b8c8c8c0effcf3a6dc392851f4b9372cf3497d7e85",
    "tests/distributed/cp/test_rocm_strict_attention_cp.py": "66707e2ec1cf870984317422060773f562652f968da3a83494b7a7484b18638c",
    "tests/distributed/collectives/test_transport_deterministic_collective.py": "15724979a489c5e55ca500da4fd371b6ffa4fa6e2f65d2f8ef6b265ac3620636",
    "tests/distributed/tp/linear_logp_tp.py": "9c32bb42e486ef569a6e654226340db8f8ddee4f52a4ba9f4f1eba65559d996f",
    "tests/models/qwen3/test_alignment_model_wrappers.py": "7f495a7a1b76218500e042fcafb9e6537a6a41d891e342e9b6758dec67342bbe",
    "tests/models/qwen3/test_alignment_wrapper_interfaces.py": "d369ceca4fa2caa391a79016aaf4f594b903726e879332b5461c37f200a6f9bd",
    "tests/backends/ascend/test_ascend_rmsnorm_backward_partition.py": "42983b090925fdfac5f0b2fb54926bb4de5c2d4c828c718aeca8215d7d40dfc7",
    "tests/ops/attention/test_attention.py": "32602ddd5969d1ca851e7241e957fe6551584981cb159b108836d4c0b2e40ee9",
    "tests/validation/ablation/test_attention_ablation.py": "d931566dea290c28d459b69c2f992857ccf915eec97df48e740dc0840149b513",
    "tests/backends/ascend/test_attention_ascend.py": "29bf176d6788967c33c0fe07e85fe356415b4a6fc798536592821b0fd1d5c61c",
    "tests/validation/common/test_attention_comparison.py": "d8169ef492e3ef59bd7ad05c934866152a75ff6c02d1543e8ab70c5692e277c1",
    "tests/contracts/operators/test_attention_contract.py": "dbb03fa3546f5cf405dfff2a6df5e337df26f500d9ec29c00b513099fb5712f0",
    "tests/ops/attention/test_attention_correctness.py": "972fafa7bfc85d5a799a1be8e0127b84d58e1f33ededd0a769cdf6c87a749d38",
    "tests/ops/attention/test_attention_cross_config_binding.py": "6f3d285fb688aded95fc74d1ff97c39921e3e03b75971c636032a441ab9f6a7d",
    "tests/validation/ablation/test_attention_debug_matrix.py": "e41021a7005ceac263fbae6425e38f35cdccdc35c23ddfed14ab823a54fd870e",
    "tests/validation/ablation/test_attention_debug_taxonomy.py": "d64b586a10e5dfc85c35379825efab7738c3f59c0e2698d5a86f9e994f4d4405",
    "tests/runtime/test_attention_dispatch.py": "6e9f2518b49e4c911d5707ee0ff77b67b91127fcac390f63367b2fa55230174a",
    "tests/ops/attention/test_attention_preprocess.py": "febdd344f204d94280c9613378475a3a1cb229e620540eaf21d86f90fa6db5a8",
    "tests/ops/attention/test_attention_projection.py": "d046118d43576f5888a9a841bb4504ec5a8ef2ac5290f62b83916169b840ffb0",
    "tests/ops/logprob/test_batch_invariant_logp.py": "153b0adc8ea6d4405cac42b3c75699d3688fb26157e309d7ffdae0238a5fa7ab",
    "tests/benchmarks/test_benchmark_qwen_ffn_layout.py": "5463c965f21ef728a2d88858f4d9f0f9010660b0d36b4ea5291ad70318f39349",
    "tests/build/test_build_platform_collectives.py": "3675ebe520fbe8ab330d57094ab396a5061004ae045ae10b937f9020a34a365c",
    "tests/integrations/engines/train/megatron/test_canonical_cp_gradients.py": "49cda529b02b6b434795eee65e47ed89f2cd38658e37fb5cfae4fd2761733ac5",
    "tests/ops/embedding/test_canonical_embedding.py": "0f2357e862df06b76723a998b4ec9159a920e52f8727685c0b1f106eb82576df",
    "tests/ops/embedding/test_canonical_lm_head_backward.py": "560b162fd495e939f6c668372fa835f2afc26f09a57b09afb4b1ad22665b0727",
    "tests/layers/test_canonical_tp_ffn.py": "e574c7530b3a31b708270f20a9724960f3cbbd35a2328605b7da22ec9960d303",
    "tests/ops/sampling/test_complete_sampling.py": "085cef2214878ee6bbfec3326d7c3903e3e0d0ce56f2505de2e6cec70187eecc",
    "tests/entrypoints/test_configurable_validation.py": "0296a39d6902e1db34f51d455e48e9bdfc86c30f48ae480901a18c07d97b7287",
    "tests/distributed/cp/test_cp_attention.py": "d55c4cba9eeee49357873a45d17ed1ee3151f3ddfa10aeb1a61f9b282afe0394",
    "tests/integrations/engines/train/megatron/test_cp_attention_transformer_engine.py": "49991f4e90278aaa14b02a0fce61817721efa23bf6ada3fc3b6a9da396ea00c7",
    "tests/platforms/test_cpu_hal.py": "ca7faefeb474f16c9de5034bafa5bec4ef615d0aed076847c5e9a505b75996cd",
    "tests/entrypoints/test_cross_config_cli.py": "3658bf49f9e0c5a937efbc7aea1085a50489959f50626232fdcbb09806e3c66e",
    "tests/contracts/test_cross_config_contract.py": "8c21c28780f1b86e91f263d0c4cb540fa35187dbf3bf1430e865df294b2a5a82",
    "tests/validation/cross_config/test_cross_config_drift_report.py": "a14215d06ffdd8430af8750f63df8159eebe22100c71352cfde70178aa7b6765",
    "tests/validation/cross_config/test_cross_config_runner.py": "3f35b601d192c6f702cb7815090f0732cdb84dc981c38479ec1d798764c0be8d",
    "tests/validation/cross_config/test_cross_config_runtime.py": "ac42c8c515d3ec1da98ecbb76cdd94ab3c06330678533b55abe0ebfdb1ad96dc",
    "tests/integrations/engines/train/deepspeed/test_deepspeed_training_worker.py": "8fb889e244b6d2269c8418e43854544d930b0d6b56ea89be9c1872caadf2f4ad",
    "tests/ops/gemm/test_det_gemm.py": "64891094e0e939e8ba77f42ea7feebae99fc82e320fd9ded22f2c06cadbdeb57",
    "tests/backends/ascend/test_det_gemm_ascend.py": "c7803663bbecf292aca541f33eb70f4bf6a5e89752331f2821de56b7e46d3d9a",
    "tests/ops/attention/test_deterministic_attention_cuda.py": "059382187a8686c3a4f54f8d3938e4acb755994bf0e90489b05352290f63fcef",
    "tests/ops/logprob/test_deterministic_logp.py": "02e8efc284aa2ffb17c7f63c936a545f9902d6a93a2c1ac06a736650933b732c",
    "tests/distributed/tp/test_distributed_grpo_loss.py": "43bdbe5518a5450d7be3d97c718b2d88c0402c6c69a6f64ff143e05cac9869da",
    "tests/validation/common/test_distributed_logprob_comparison.py": "8c722d876e3c9a7a5e7a4be1842b99a202cc14e77e97dd29b41b6f5f4a704826",
    "tests/validation/operators/test_elementwise_inventory.py": "6bff78293aa2e53c790cc2a395b8e433cfaf3ff0e3f184994565e44c505a694e",
    "tests/ops/embedding/test_embedding.py": "8136512004d59457d496768afc8112b5a59ece80fa9a9209e5fa141adc421a1f",
    "tests/backends/ascend/test_embedding_ascend.py": "dac15013ff8af2ba462d8bbe5f130b00ad790e7e7ea06b850a40c9a3566e1162",
    "tests/build/test_envs.py": "8f90d5bbdc7ecc8a9a5b8989923bae52e9480a1e56c53d4f9d2dcb0c1ea3ebef",
    "tests/build/test_extension_smoke.py": "f2ad2a2c6f670878c0575ddb0cacce97d45973e0dd189884730f42756f12d891",
    "tests/backends/cuda/test_flashinfer_pr7_attention.py": "01e03be98405f45195b98d93d2ca487c3828e5019495ec6ca7d4466f3d63ff61",
    "tests/validation/operators/test_forward_invariance.py": "8a13ebe69498c0e0fd2ccb71567a74d9cd3032c11c7c0d95455cba758184f247",
    "tests/validation/operators/test_four_judgment_matrix.py": "8cd0a9e330f1b28a31450626cdbe3074e8310931f1e256ca1e453f2ecdd23bce",
    "tests/integrations/common/test_framework_operator_integrations.py": "041f54e8ecad17751db14e179eed609664112b53a30a3c6fccdeab42a59b59c4",
    "tests/integrations/common/test_framework_runtime_adapters.py": "37fe13c23c2067776d5c6a287092794171392f8eeb17ac2a1f06ebe0d4a60f15",
    "tests/validation/operators/test_gradient_invariance.py": "ec7f6df2614b3f60c645e822fbd91e533cf91932eb5d4520c3f34b1c9088c6cc",
    "tests/ops/loss/test_grpo_loss.py": "3d099d0f40949ecade5bca33cf7c3fdf8a8e082c45a6c1ecb0c630a0a287f398",
    "tests/contracts/operators/test_grpo_loss_contract.py": "3fd87e081b263dee3819dc63b4be7ac3290b5a96462b0ce1db4092a406f7c42c",
    "tests/e2e/test_grpo_single_gpu_example.py": "0d7dd8d3da8b94dd3ef93a29e28c0eaf06121f87884dc229cc38841e448e604f",
    "tests/ops/embedding/test_issue151_embedding_lm_head_invariance.py": "b4cb7c0380c60ed74d10015878a6eef145a2decf745a3a6ca72d16102c5f980a",
    "tests/runtime/test_kernel_registry.py": "d56b8e7e8064c34c8c433862f076aa56bc6d76400d7d9789a60f0fba55ffb363",
    "tests/ops/attention/test_kv_cache_attention.py": "e8eeb8b03df564c8b461a5d07d566aaf0e23d85f8ee790ffacec7011102821cd",
    "tests/validation/operators/test_kv_consistency.py": "e8acc8658fac20249091c543fc03865bdd7d4459a56a07ef4465eddd75fe3fc9",
    "tests/ops/logprob/test_linear_logp.py": "e8bf25a443233196cb20189a558886e11c9fd05b0bf5443b20223ae506206241",
    "tests/backends/ascend/test_linear_logp_ascend.py": "f4ed6aeced2a7b6d131389bd2d0c27f399ad523ffca1fc8e0914e987c42e8308",
    "tests/ops/embedding/test_lm_head.py": "b81cf140d10422dac2efe4399d93023526a8e8e49d8178b19469e2229a2cbb4c",
    "tests/backends/ascend/test_lm_head_ascend.py": "3272a0ceeace654848bfc4226434c557245e1f866b70d6422a918de889756b94",
    "tests/ops/logprob/test_logp.py": "7767d7d50f3f7293c21e12d0b2bac077083f48111aaa948bdb7e602d174a6dd2",
    "tests/backends/ascend/test_logp_ascend.py": "985172ccf0139489b040d6e917c3bf69b39f1c4388e95b269b2d8ec1415baf43",
    "tests/validation/common/test_logprob_comparison.py": "9385867f7a759c272ac1965bd6a2bd6868cf1869b2f20b18645d6abd6d4cb355",
    "tests/contracts/operators/test_logprob_contract.py": "0e11ab1014abede0dab63a094a372dbb5c007b2db1a9c69c3002f748356f40ef",
    "tests/ops/gemm/test_matmul.py": "01ca75f22b063d979a7ca8a509f99e95dee8acb65a452a28816b8d295785897d",
    "tests/integrations/engines/train/megatron/test_megatron_runtime_state.py": "635fee37ae19ba39e684a92865a636ac0eb1c33ee8666c5f17196656252152c4",
    "tests/validation/ablation/test_module_debug_matrix.py": "fe97931e8ecffe781a329fc6f77fa18aa48cf47a184f1449ff0efe17fa208397",
    "tests/ops/test_op_accuracy.py": "5f4da1223b5ff3da84a6da42d112a82a8be8bd85c6ba78e1963ede50af1df5a2",
    "tests/validation/operators/test_op_checks.py": "7b437ceca4af4fe692f3cdb922509c2e719a6443b61016812db0a897dbb20b1a",
    "tests/validation/operators/test_operator_inputs.py": "6f1260fcba7303b5f6156aba75d881d24376ba39f034a8d1f7379f4ff864ce5c",
    "tests/ops/packing/test_pack.py": "c500d5c2d36b18a243ee6f24a0dbd15944fc3281198ec259c4b2f17fbe27c417",
    "tests/integrations/engines/rollout/vllm/test_paged_kv_baseline.py": "e20451dbf5185ff8a4e6342d6972db466bb8382c7493b54623faaab37b98fe43",
    "tests/entrypoints/test_pcp_validation.py": "1a258fc852a379f6f4ab3092f65f483122f96716c71f4d4581bf5c74f230e69c",
    "tests/backends/ascend/test_prefix_shared_attention_ascend.py": "b0689e1b27a3e5d0ebc4b89ee0238cbb272ed1f41ce3f78eb9c373ae6e7b950c",
    "tests/benchmarks/test_profiler.py": "bf207fc9ce0614f54bb600685700fbd0dd0dbdb1f4ad80b2dc669c6840059411",
    "tests/layers/test_qwen_ffn.py": "58f835013ddacb7771a61ce27c043ec60f4d8c2474067f6de1b4070519d0d00e",
    "tests/ops/loss/test_ratio_kl.py": "44915b3e3cd0537c9ff8506bb0fc85271295f9a7dd29e3ef08c9003706878722",
    "tests/integrations/common/test_ray_actor_manager.py": "5622876cccbdd5557fe42a42dbed36a73562e05723fe6a643c8730f43744a5de",
    "tests/validation/common/test_reference_ops.py": "29107f37b024358f64d905f4838ddccdd3e8c2d87e36fd668b97bee1ad167e60",
    "tests/entrypoints/test_repro_launcher.py": "926842ae74b7b0f1077043eac20e4b6587ee99d02dbcf61ae8440c115f737643",
    "tests/entrypoints/test_repro_platform_alignment.py": "6ed3e2b9148515ed359e7a7c791a2db71c427bda9611b2c58649ad88dd736379",
    "tests/ops/norm/test_reproducible_norm.py": "525d1d1426fd16104ea7f96fa716f767b1c95d9dd60545847bbaad04a2578bcb",
    "tests/validation/common/test_rl_batch_fixture.py": "503b82cb23a510a35d3aeea6dbeafb4f76098efddbfd9a3c9496973ba9cd2f8f",
    "tests/e2e/test_rl_kernel_loss_step.py": "b471b00dddd05894a68eb57fbf71f1df526f8707ac1ed5611c0213afbbbd7437",
    "tests/ops/norm/test_rms_norm.py": "02c3f75173b0392644282caa85c177383a2717a6db6a1dd94a034a1934b865b7",
    "tests/backends/rocm/test_rocm_aiter_api_contract.py": "9cfadc615fab98bc3b4f18f58399f1cc5f561e5f89a19a66bb91d18d7fefb84b",
    "tests/backends/rocm/test_rocm_aot_slot_rebinding.py": "b6cad6594d42ee321bfea757616251edf4101392c484822450a1f493354406d3",
    "tests/validation/ablation/test_rocm_bitwise_validation.py": "a32b201d13669d0e00873d1e721548f03ebf89e474093526c45dd144c64a47ba",
    "tests/benchmarks/test_rocm_collective_benchmark.py": "edb1519d9128e8f9640130ef75e31745e841af8cae1b43d49ce3a995f0f76a85",
    "tests/backends/rocm/test_rocm_compile_cache.py": "6e20ccda834901fe4af39316a09ccfe5727dfc059b699c866b314edea6b66ce1",
    "tests/validation/ablation/test_rocm_e2e_ablation.py": "db96907defb8d053cc6949aafe23dfe3db338b1dc50d703a3a23a2cf35565548",
    "tests/backends/rocm/test_rocm_lm_head_weight_cache.py": "79851520be8fd87b548c8a3268afe6765119fce5a630128765bafcf8fb58761e",
    "tests/backends/rocm/test_rocm_logprob_backend.py": "c8cb9b99b181e7a466416b5cd434f05711c9d2bc82c84b96f109c1975eb5120a",
    "tests/backends/rocm/test_rocm_mfma_gemm.py": "c6ce90e8a1bdf552b6efad0edafe102a8ade79e5f3e209b77027f671a9bd8dda",
    "tests/backends/rocm/test_rocm_packed_ffn.py": "4abf742c04593809a365a987d21df26fd15c571e66b5921582d4434b748bce01",
    "tests/backends/rocm/test_rocm_repro_profile.py": "a2c1949e6cb441d53eefc2f3743c0defe74234bec7dcca0be3936932a4d89d90",
    "tests/backends/rocm/test_rocm_strict_paged_attention.py": "bbc3e7cbc125c3dcc2030e97e9b41c7a73db885a69b660e7450d451a5549294f",
    "tests/backends/rocm/test_rocm_triton_chunked_attention.py": "d3cd3ff3e1e801ac154c11578bf9fad17d6018a1ebac29a705f8b57cf4bd7f7d",
    "tests/ops/rope/test_rope.py": "018e99579428a83ab72c204d592bd4f1f0111b38a42a91c799889d05d6521621",
    "tests/ops/sampling/test_sampler_temperature.py": "74fcd6e77a414ca05e7f287a93357beb37d7b9c218963786a700a6c983a2341a",
    "tests/backends/ascend/test_silu_ascend.py": "66a228f9fd9f00b92a50c78ee69d56fcc038b589cc2d6f923681d620b2fe0e19",
    "tests/backends/cuda/test_sm90_linear_wrappers.py": "3226d12eb79eb86f78291eea1f029becb027c19ff211d909c3c61614e336bcde",
    "tests/runtime/test_stateless_executor.py": "e0653ec63c9db15ee3084ca87e9263161be9a33b98a82f2a71e347dd3f9af101",
    "tests/runtime/test_stateless_hf_integration.py": "accfd45e406313ae836e9363dd1da79e32e2611be1a8c476fe5a7b973960ec86",
    "tests/runtime/test_stateless_training_contract.py": "b4bb831765fccc022ea90c07412f131cd1f61b79998403b7fe64cbed09b048a1",
    "tests/ops/activation/test_swiglu.py": "91e5a461403d93a3b111bc25543368e43f94bd980181ebe77d37d965562479d2",
    "tests/contracts/test_tolerance_contract.py": "28d515d43a13f3ef68639e7ddfb7147f8c823eebc333005ce93b88ec4316af94",
    "tests/ops/attention/test_triton_batch_invariant_attention.py": "1233607411a058695a496c43c8e9869dc6d0458d463fa6bf29c14654c28301ac",
    "tests/ops/attention/test_triton_deterministic_attention.py": "3484e350ae430affec8cbecfb14d49e89341e9a955638860780c396bd75ed866",
    "tests/ops/embedding/test_triton_embedding.py": "8c6ee8c0ee2e31c3f893a6909648c4936987adf44c80da83ecb58cf047c0a54c",
    "tests/integrations/orchestrators/vime/test_vime_attention_provider.py": "fcfd3bf4099eb1f055731da7a2283987fde8d055d2af0171b4b4b7ad7c6af852",
    "tests/integrations/orchestrators/vime/test_vime_linear_logp_provider.py": "2b358604621e52b1fe95640536c2aec83bffa71a090f6a682e945018eb62dbf3",
    "tests/integrations/orchestrators/vime/test_vime_logprob_provider.py": "1d116ac836be2fd87867da68a4f8be72806698beb0609a686bd69b252fde53e7",
    "tests/integrations/orchestrators/vime/test_vime_rocm_attention_topology.py": "2bb30a73b7580de9f569de8dcac89bf3af1e1d76c98196d42581c374e3ea81a8",
    "tests/integrations/orchestrators/vime/test_vime_rocm_module_validation.py": "b896e2d51d32340f4be584702fb2e9bde0e5ba830382620f5ce78ecd717010ec",
    "tests/integrations/orchestrators/vime/test_vime_tp4_example.py": "08e6208428d93b2875043d4cf3c2ca460018fa8c4916657be0ac886f9d8ff867",
    "tests/integrations/orchestrators/vime/test_vime_validation_artifacts.py": "bf128c2193257cb78d17d898f7d86801bb2b332d034e893b47ee4baa0ee41ca1",
    "tests/ops/autograd/test_vjp_fp32.py": "0d3ef9b6e0a4c8eddb24de3a9045e556bbb7c3cf65d937907da11d80b8783b15",
    "tests/integrations/engines/rollout/vllm/test_vllm_canonical_parameter_compile.py": "c8908331c8f62e8b2f5a898ffb3d74e989857f7da6faeaae53bca0d1e5a12220",
    "tests/integrations/engines/rollout/vllm/test_vllm_memory.py": "42351979918806fdaf5a4fc104bec51f372bbecd4ded7e89ea063832a92beba4",
    "tests/integrations/engines/rollout/vllm/test_vllm_page_bounds_epoch.py": "71bb968824181eaca7f05d31be0d99e6388ebbc53933d6061ee84feee10900c6",
    "tests/integrations/engines/rollout/vllm/test_vllm_pcp.py": "7dcdba004df573b654acd929364901599174c0d408087dd86e09de7b8ed30184",
    "tests/integrations/engines/rollout/vllm/test_vllm_rollout_sampler.py": "0cc57e9db9828129d34741f4ebecd2f14eac5528a0c6e125805dc41c9b874e8e",
    "tests/integrations/engines/rollout/vllm/test_vllm_tp_group.py": "57717763dfe923d0071ab908300f7c3d69dbd6b0361f644a8f92cedf5e745520",
    "tests/integrations/engines/rollout/vllm/test_vllm_worker_top_p_replay.py": "fe0d80dfb995bb8e01b9062a74c71c0da87fdf30871e57575649eb4f7e2f4e69",
    "tests/distributed/tp/test_vocab_parallel_logp.py": "11c45b093ae227ecd3e54706f251b8034a4c0ca54db296398b186e2aa5b850fc",
    "tests/integrations/common/test_weight_sync_bridge.py": "d445f00c11ce627bbfef898e107c679dc614c015b998634ecb1eea28c1cb2555",
    "tests/validation/operators/test_ws1_ascend_closeout.py": "de955c00a754fbb80ef245f93d2a169db565316f99766b2d6b968633dfdcc8f9",
    "tests/validation/operators/test_ws1_candidate_evidence.py": "69e5461195c3eac7449ece3c90c82a6f6185365b76e85fdf4bfcb6168a73a3f0",
    "tests/validation/models/test_ws1_chain_integration.py": "b1586d04bedade8be21e2f17fcd82ac29720b1bb66e62c9b3741b12f3768a732",
    "tests/validation/operators/test_ws1_gtest_gpu.py": "01139087d1fa4c36666146569ad63bdd0615dee8b8934e18bb27542c63276548",
    "tests/models/qwen3/test_ws1_qwen3_dense.py": "5cdab7d8a7d6b6cac22e1c69d929c223187011f95069a57e79fe67d1cb9ff938",
    "tests/validation/operators/test_ws1_workload.py": "222ffd5db0676b81e1f20345f5985980adbb7e5e3572255fe99a9d5003f9d641",
    "tests/validation/distributed/test_ws2_attention_gpu_acceptance.py": "1367d1a7b9014dfe9bd2e96fde08c635344ccb4048a19d87d1824732a448de5f",
    "tests/validation/distributed/test_ws2_cp_attention_drift_benchmark.py": "c9c38d59c1edb7dec679433cc5bdf06a1e287957be17b56acd2e999234601dc1",
    "tests/validation/distributed/test_ws2_megatron_te_cp_compare.py": "ffdea6b602edf25d1bac52dd59571896da9335f57842ca41a7c7d8b521066bc2"
  }
}