torchtitan/__init__.py,sha256=AhA5Jwz8mtsi5MaFPNIo2d0LKv3A5YubQGUKX-sz-vQ,386
torchtitan/train.py,sha256=jd2YhJBX8OQmCO5sATAm8FdKHJygb1CYw6PZjQWuJy4,2653
torchtitan/trainer.py,sha256=VNEeubMniOi7klGv-OmvNmLftbl4YHRuJReejzVFKhs,39446
torchtitan/components/checkpoint.py,sha256=L2XVIBZSfQSafj2ZNWe0Yh6dJr-CQl_3rDwFat8KaOs,44270
torchtitan/components/checkpoint_utils.py,sha256=tzgzkfqkT6s1pHpyt_QOb0TIXfzrX-fvGZKRHOnVc0o,9563
torchtitan/components/dataloader.py,sha256=XDFfkhHp-Bi5i4goSeIl3JAp7lGlN5Zb5QS6ZhGpKG0,6150
torchtitan/components/lora.py,sha256=Ya9c1i8OOECrb1vqQQjxJruvfbPTNg5S6Z4wdlcawa0,8133
torchtitan/components/loss.py,sha256=Imy1XD_YpdwhLkcF_dLxEcN2A-7ouMEz0IZ8m99Eyf0,27080
torchtitan/components/lr_scheduler.py,sha256=c8Eq21wU_uAkfU-mCQ4ZZDKR6oQrIFMNAtX4jq0bhIM,11018
torchtitan/components/metrics.py,sha256=LV5Q1wX4SrMdUAThHa-HbxeDbVHEA8aPt5MO5LC_beg,20382
torchtitan/components/optimizer.py,sha256=kxff8N7mXBx3ZIlt7obaUfUm0Ff07I5K3JUhy7kqShk,21881
torchtitan/components/tokenizer.py,sha256=CWqmbjSxL5ZBW8DwUxrEyvy-l10LcMAVV0O0cKLZSME,21868
torchtitan/components/validate.py,sha256=5O4_eFDoxUmdnusFAMZTBYPjJQtXZaa9lcTwEJhGYAE,12852
torchtitan/components/quantization/__init__.py,sha256=47c84AzPlpLkLi-BRRcTbWwMq6l9TRzgpj9riDT1V04,1662
torchtitan/components/quantization/float8.py,sha256=nBtN7VGHfV-nuq2rMGGmOPS8xC4rv9dw15Gk-B1r2OM,9496
torchtitan/components/quantization/mx.py,sha256=9tZN1068jNV74I0GoesiOdUfsrMVaAHPMMMT5aWTilQ,7201
torchtitan/components/quantization/utils.py,sha256=cGrbNKKUHDcTwkLsvFdyonxeoEuNuNgD9Z1el-IyBXc,3685
torchtitan/config/__init__.py,sha256=PpPGoisHfHwRPqsG1jpWhg6NIlKBSRbVeaZtFCX0dOw,1121
torchtitan/config/configs.py,sha256=eWkbdzaRXygGy2-0EGFhUFmPRPpKAiu49tHpWbdfQzM,16586
torchtitan/config/configurable.py,sha256=awTJO3D56hj-t8Oz53ybH3MTRbTIczTq-YxlBa3C5xU,6545
torchtitan/config/function.py,sha256=pnKCUCUl7mPmFCG37Bi3W8b_RIiEWYaN149NVwfYc34,1239
torchtitan/config/manager.py,sha256=n_Mzsg1vWGvk21kQGpz84hfa-yeffRqJJ13-1durZbI,10210
torchtitan/config/override.py,sha256=oODt6GmyOMMKW7DHs-jItm_sAC4AIxGMbyaTfOvpuAk,13373
torchtitan/distributed/__init__.py,sha256=AWX4xTrJ8LIBCmjoTddNVjQEd2H-HqpIfrg4uIS5kzM,306
torchtitan/distributed/activation_checkpoint.py,sha256=3qMrY2PbFlWeHM0mufdAw4kDEVk2pkmfhwFzUyFeAkA,10310
torchtitan/distributed/compile.py,sha256=vKCF05InoWjgQp3D-mbRcrRU1knmvnkhT6J49aX55FU,4992
torchtitan/distributed/context_parallel.py,sha256=mkUyGkSYw1jrE5SSSFbXV-VU365F3p78JBoB74IIvKI,10296
torchtitan/distributed/fsdp.py,sha256=IUSIe9Na_hGgynk1LKRTJ4GsvFk07Ucpi-m8l9oP1rU,14199
torchtitan/distributed/full_dtensor.py,sha256=kj3WlrqO4ARJV7lL8FKeKm5pLw9jeltpHxnh1VUwMU0,6148
torchtitan/distributed/parallel_dims.py,sha256=omkPHAzssWYrwQw5loi2YRA8KAoVUtqYMioGdpnkypQ,28075
torchtitan/distributed/pipeline_parallel.py,sha256=57qytmD9GjhlFSFUcWWOT0IeT1SekStD60XG4uZqiGA,23403
torchtitan/distributed/spmd_types.py,sha256=Wp0Z8iroMChVsU8cBTlJV0j7MUHnQ0EA_WpMlcfUE-g,13606
torchtitan/distributed/tensor_parallel.py,sha256=nn87Mc6jWxs3Zv7AEeAk6flWEh8tuM5IkyunzyVrVf0,3990
torchtitan/distributed/utils.py,sha256=BDyhrp_KqUATHIKZBMLSXljP8nHlElj8peQMRt9AK04,27166
torchtitan/distributed/deepep/deepep.py,sha256=2oUdLAka9kHfxalsv3i33ZJ2E4evdYnQ_qyX8UEemEs,17504
torchtitan/distributed/deepep/hybridep.py,sha256=yZ4WpmtuEiLoE9lIHMwWMzgBBuw9VgopaLpHlT48s0s,18368
torchtitan/distributed/minimal_async_ep/__init__.py,sha256=20JeIOt6-f7Ubp3MmCqhwLNfqFGXzLh3J7qzJSEKvz4,550
torchtitan/distributed/minimal_async_ep/api.py,sha256=xOHq8M2epcVn8JTSFfYWkUAezI1YKCwaAe0tU0gAVcQ,31858
torchtitan/distributed/minimal_async_ep/kernels.py,sha256=T-uuMLxCgZCwRPL_3u1pptZX9Qt20ynMZnmHR0OGBDI,20132
torchtitan/experiments/__init__.py,sha256=DoplV4bj3qeTP_DqEPk_K8d8yxKyViD8N-9WLqtFKRw,517
torchtitan/experiments/forge/__init__.py,sha256=hkf1NM2aznMKEWUIgkVIw6UCEq-xExXR2LcY9_5YuLk,268
torchtitan/experiments/forge/engine.py,sha256=j4He0-IDSJf78mWnjILPyc6J56phCbbNAuxHhYBI33I,10485
torchtitan/experiments/forge/example_train.py,sha256=PUYMPpjfZ7-2LPQ4hMKy7JIG_P4_1-8GnF3HxnzN8pA,17204
torchtitan/experiments/graph_trainer/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/graph_trainer/autoparallel_api.py,sha256=uApYthaXO16NnG6C9_L4u8tt-US5FvyFDEuITbUDaiM,5157
torchtitan/experiments/graph_trainer/chunked_loss.py,sha256=dS5XxII9tNfqN2XS_ej5Nzm4_J2Z9_53tyPycKCzT-o,5061
torchtitan/experiments/graph_trainer/common_utils.py,sha256=rW1ibE2RVUThMPU4T8H5Vjm1Exl2hNIaDYYWk1EGiBI,9846
torchtitan/experiments/graph_trainer/compile.py,sha256=QLAl76U838MzaSp2doWq0asfH-_cDDenwbmBRaaOrvQ,3834
torchtitan/experiments/graph_trainer/configs.py,sha256=T6_WD0y-0F9NYK8c9eSZA-omCCRxpm5hdDOtidB5kHU,7047
torchtitan/experiments/graph_trainer/cpu_offload.py,sha256=NUQvIqKZ_FPF_QrHPqBKHicEHYfnTIoiKmfrAywNnoU,28160
torchtitan/experiments/graph_trainer/cudagraph.py,sha256=Wk4nHX0S0uuhodwOaaH2ALtYapkbBBf5wM0STxhUUXo,23426
torchtitan/experiments/graph_trainer/custom_codegen.py,sha256=933IW3yTQ4QXxjKq7yMWCE1iLJS6qkY1yy4ENwdGKOE,23417
torchtitan/experiments/graph_trainer/debug_utils.py,sha256=SzHr4jMhLuB4ruM-YmXRpauUQVhB83qjij3DH7PVo4w,4094
torchtitan/experiments/graph_trainer/dynamic_shapes.py,sha256=Ngr5olcKq6D3_vF3sDFpNif1vVMGSoVwk3JHtGBVgMw,4093
torchtitan/experiments/graph_trainer/ep_process_group_pass.py,sha256=pC2bBYNrJam48pq_nxwC3amQynNHrMkWi3E8GLec0gg,5796
torchtitan/experiments/graph_trainer/fsdp_passes.py,sha256=lEG5K6-jLhjdhPjTJdEYS8qSBBX0el-meF85KH3Fq3s,18205
torchtitan/experiments/graph_trainer/graph_utils.py,sha256=4jpZZobydUeXLCUZrfSuxfDx_UeXEcMEGdHUiefsqKE,8576
torchtitan/experiments/graph_trainer/inductor_passes.py,sha256=LJVPQsdN_-iebt-Nyd4EhleBtPitjgr0QLLGtM0aA68,10952
torchtitan/experiments/graph_trainer/jit_backend.py,sha256=ADCQKtyzh0c77Qh4fWiPrbWhGvuPSjDQi3Ee_Z5B5o4,5634
torchtitan/experiments/graph_trainer/log_activation_memory_policy.py,sha256=xR3FPB8E9APJtFH8SOeFMUyXWV0TcH93A39YfJn1SJA,11791
torchtitan/experiments/graph_trainer/make_fx_tracer.py,sha256=sqz_1ovoUBqxY_Xg2zB1OWnwsigvXtaXP8_XdKegnjg,24602
torchtitan/experiments/graph_trainer/memory_policy.py,sha256=mv_niljKYZpu3-aimZaj-GG9qnjj-cGIS1H913OSMds,12868
torchtitan/experiments/graph_trainer/passes.py,sha256=WBtskFbDb8dy-5Cd-z-SW39ZoSCXJSGYQ-Hx7yKTJCA,11730
torchtitan/experiments/graph_trainer/performance_passes.py,sha256=Awi57BurH7EYymPW8gCNbXO20FzwmJC4f0QduznL16E,2487
torchtitan/experiments/graph_trainer/precompile.py,sha256=t__-bWjaNiVms-6_16SqUv0rI6cOf_gocCXQLQe2Hr0,10791
torchtitan/experiments/graph_trainer/precompile_main.py,sha256=XkDMmToY654WLV4i1KRIw9i7tJ6r9-HpdVIRvtWHwp4,11596
torchtitan/experiments/graph_trainer/registry.py,sha256=tYxWp_ud2VT6mNCobUVLoPA8TeIamKuq6OxvfMtb4eU,1628
torchtitan/experiments/graph_trainer/remove_noop_passes.py,sha256=Y5RGmMnMx5-ZFGFm1pkFTlccdGiCvKk5QHPGs_z0g84,13174
torchtitan/experiments/graph_trainer/selective_activation_remat.py,sha256=tflHPT53ySI5sodpgAQrR69XdtzcZwUEjef2Vn7bqwE,16613
torchtitan/experiments/graph_trainer/simple_fsdp.py,sha256=FXil7ctQEFh7u7tyAiIoFQnZfUTKUqJ6KVwaTwJanDk,12085
torchtitan/experiments/graph_trainer/storage.py,sha256=HmKMWksA_e2oL29m-86dmKQFSo-dBawvgE_7DF59YDk,2777
torchtitan/experiments/graph_trainer/trainer.py,sha256=mH_kBXkr2jwvEcouEuYxePd8IAM8FEhdXPooEn2nfaY,9007
torchtitan/experiments/graph_trainer/deepseek_v3/__init__.py,sha256=w8QnBLuaLvzgmeQCPQQsUV13pG-dWZbImzhAc4gJK9I,1963
torchtitan/experiments/graph_trainer/deepseek_v3/config_registry.py,sha256=C10qi4xGnFj_xfBP2t79Lpm_ZXJyRhB3PEm1tjdKmD8,3696
torchtitan/experiments/graph_trainer/deepseek_v3/model.py,sha256=QHdp76SVcHyow5XsXAKYRfo4jP-G0EXDeITTGhDtn3w,819
torchtitan/experiments/graph_trainer/deepseek_v3/parallelize.py,sha256=UxLX1EN4dTek5nihdmw-WfGBbkssaubdi0UWSqflSVc,4915
torchtitan/experiments/graph_trainer/deepseek_v3/parallelize_autoparallel.py,sha256=a3DiZc7qXJaF5s6LL3HoqGHirGCnJIQQyplX4dYxPdg,8001
torchtitan/experiments/graph_trainer/llama3/__init__.py,sha256=yVn-urPZzN7OgWTXEEzS3EOllHwNfW_n0tScxdl9Bbo,1571
torchtitan/experiments/graph_trainer/llama3/config_registry.py,sha256=1UTPbkSlZzNB2EQB-HLwoKP-fTFwHCPuuR5-_OEyBDE,2763
torchtitan/experiments/graph_trainer/llama3/model.py,sha256=WGQuzEyURHKD02ll3ue_0ZlkbooVj2qJjUf7uxf558o,798
torchtitan/experiments/graph_trainer/llama3/parallelize.py,sha256=yh8glLgm_msPQlU5iQQC2hz8I-aPocFIaBU-bjRwtXo,2713
torchtitan/experiments/graph_trainer/llama3/parallelize_autoparallel.py,sha256=6AL2yDlqJJ-sZxJAa-0PrVpLvJyfG4Ohbwd5-reggQw,5568
torchtitan/experiments/graph_trainer/qwen3/__init__.py,sha256=n3cixZA40zwIMqnrZ448qh8oGHbxvSgj5C1UZqPMxsk,1363
torchtitan/experiments/graph_trainer/qwen3/config_registry.py,sha256=8vAl__FYZFT4en-Ws5tYXZ8ZwKSK1ugVJdJyQ3GdHb4,1890
torchtitan/experiments/graph_trainer/qwen3/model.py,sha256=rBnCuezhaWoQpaoSr-UrC7DkpK5MOqCpsHAbdNVleR0,793
torchtitan/experiments/graph_trainer/qwen3/parallelize.py,sha256=-45JmvzoVSU_Qq7y6qKOPjCYkqEwKn9MiACLv6hvARs,3599
torchtitan/experiments/graph_trainer/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/graph_trainer/tests/_trainer_test_utils.py,sha256=7dibf_qtHpwnSKoOYugd27-H4vN7OeOAcAPuSaWc8Z8,2898
torchtitan/experiments/graph_trainer/tests/integration_tests.py,sha256=LuSN9wtmd-3suUcL53Z9tURKq49G1MW9vlizD43mzaM,25001
torchtitan/experiments/graph_trainer/tests/run_precompile_tests.py,sha256=7m4P_pWk4ec_Mv01zrGhBak9nuffHzekZFRDydUXA2U,7367
torchtitan/experiments/graph_trainer/tests/test_autoparallel.py,sha256=lggPadJU-Y2ShIcbjN9rsZAyDcaKkQl8OuioV1ostiA,7691
torchtitan/experiments/graph_trainer/tests/test_bitwise_deterministic.py,sha256=FJeKqT4q-VoIq3VMOuDmBC18T0ZTfqOb39vLx4qduYw,30330
torchtitan/experiments/graph_trainer/tests/test_chunked_loss.py,sha256=Iqpwqleuw5Y6wFionj2K7gLnDjLtVHQmbs9CQsRSWZ4,3361
torchtitan/experiments/graph_trainer/tests/test_cpu_offload.py,sha256=VLyksq1br30JvpAIyQmOhs6LQ7ODLAy-1TQHlaGr50Y,36441
torchtitan/experiments/graph_trainer/tests/test_custom_codegen.py,sha256=7bmH9rce76XOKJwG50QDTeHN5bNV5mmcJKkA4h3NeiE,11799
torchtitan/experiments/graph_trainer/tests/test_numerics.py,sha256=7wNwxqjeW_T308QZpkY_JCFz4cTOacR3hSxpqPcyZ64,19379
torchtitan/experiments/graph_trainer/tests/test_passes.py,sha256=IoWlwPTRNLQ1BPq5AAwt7h2tDeL_5CRNYuQXkKQnRMs,95968
torchtitan/experiments/graph_trainer/tests/test_performance_passes.py,sha256=-q_98QSletjDlj8EXd3YCatY8IlEEK4wPO5Ro_qzf_4,4717
torchtitan/experiments/graph_trainer/tests/test_precompile.py,sha256=uaESI-Mp_3f5L7EVEu14LSuWQ8Dfuuwbg1txb8PDoGI,16872
torchtitan/experiments/graph_trainer/tests/test_profiler.py,sha256=V24KqiAfubYoWecqmj260YwwyssDiX3wVnnZhgXTZvk,9907
torchtitan/experiments/graph_trainer/tests/test_sac_peak_memory.py,sha256=Qyoh4lJXfPkuLXClVGU4cawMYlIQHn-vyRfD8PbCDfI,10141
torchtitan/experiments/graph_trainer/tests/test_simple_fsdp.py,sha256=gj9C86eevX4GXKSQuW4KmyBdeurjv0lIZVoYCxRZCPc,2759
torchtitan/experiments/graph_trainer/tests/test_trace_module.py,sha256=puZbX0dZx7HCkdcvISdj4IvGnO2ratBzL10bZORngDg,76112
torchtitan/experiments/rl/__init__.py,sha256=ehRe0PSUKS0KFol1ZzzpaAjSC_E8MkvzEtrH6BpYeuM,1341
torchtitan/experiments/rl/batcher.py,sha256=9OMM74pDURewmdQdmOCti01KYQ7dZwgaNOHLC5bA43Y,9886
torchtitan/experiments/rl/config_registry.py,sha256=uv072OglwPWqVVspK-R3WU1XezSGIVRGifn_jETq2Kk,22655
torchtitan/experiments/rl/generate.py,sha256=yaHwBwthGMOyeQXuQNdNEtAkwtkGDAAZx1n_e780rTc,8810
torchtitan/experiments/rl/generator_router.py,sha256=mifvH85_Z1zhhSQN32nz92yPoZAqW5NUsSDNl3zFEIc,9549
torchtitan/experiments/rl/renderer.py,sha256=ffjWWHMjpMppAA5AUmJdQ8UrDjJ2woJT8EMY7rb9rAU,3895
torchtitan/experiments/rl/rollout_recorder.py,sha256=SD9l_AfBoQ7ZbUtgLELcggt4q4GYmV-CmKw3vrXnqFc,5946
torchtitan/experiments/rl/train.py,sha256=1-Q0REmYnHDx4EaI82lV1YxVq4jxKDanzZjPy8lOvew,7611
torchtitan/experiments/rl/trainer.py,sha256=7V6gPUOrh6jtB1QefZiqA7CX4_nYb7xI2Ve9A4ieSVM,38574
torchtitan/experiments/rl/types.py,sha256=qVFBb-NKdqgLv6Qk6Lbz764GMle9nunJwvWPetxMVVg,2779
torchtitan/experiments/rl/actors/generator.py,sha256=LxlBkveQvYVugTpm657HrG7msHDplSjwu7ADKtLSN28,46661
torchtitan/experiments/rl/actors/trainer.py,sha256=5TzoSWlEJc370sv0HK78h3S6jP0W2Oz6C2XSHO6Z3NQ,20845
torchtitan/experiments/rl/environment/__init__.py,sha256=uWLSA9qorIPPw_jXb7PRtMeQaRo23-cXwIZer8X02Yo,547
torchtitan/experiments/rl/environment/message.py,sha256=tWfJRQTY8phCmMY3DdcshVBMEgjRj7hwfypGtxyxK8g,4229
torchtitan/experiments/rl/environment/token.py,sha256=WcXG3YvvL8-GWzFEgdRDRUW8nGlONnAtGYP9u4Fd1Rs,11509
torchtitan/experiments/rl/examples/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/rl/examples/alphabet_sort/__init__.py,sha256=ZIqf7p7LYVwNOVu8U0OqKDLs-yUaU0-S1kx6ys1V0Uw,744
torchtitan/experiments/rl/examples/alphabet_sort/data.py,sha256=wnlemOcooatGVd7nB8vrNO8WbulYLMDPRx6QqgNOYW8,6988
torchtitan/experiments/rl/examples/alphabet_sort/env.py,sha256=CnKwsM6TqluMda4Tg4DlRdph9i4GX4F003vwA9WL-G4,3443
torchtitan/experiments/rl/examples/alphabet_sort/rollouter.py,sha256=iDDLh9tLn4L5hOC3dCn0NlGFQHVXPE8mJfg63OhekoI,2579
torchtitan/experiments/rl/examples/alphabet_sort/rubric.py,sha256=A1I6mfMk75L7hd_GUDVm9zDbC16OtIlrbqO7gSrF6L8,4386
torchtitan/experiments/rl/models/attention.py,sha256=uF72k2Mj1hLM5k02mdoBxQvE3HqyTcKfjYes0Pj6d7Y,12319
torchtitan/experiments/rl/models/vllm_registry.py,sha256=meGHeTLGZ_wBJou806wjassJRGqYGqPgQi_fUYPGxqo,9332
torchtitan/experiments/rl/models/vllm_wrapper.py,sha256=rgon-WPYzAKQi33Q5Dyg8QHqLE4fnnHPlVZA_QbPAxE,14686
torchtitan/experiments/rl/observability/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/rl/observability/metrics/__init__.py,sha256=b375z3jZTRFp7PAL25QCosWEn16-4oe2TfMLDwvhzUk,666
torchtitan/experiments/rl/observability/metrics/console.py,sha256=LDiYUBFzrdwJY0mtcJMO-1-tPgiRb-w7TxUr829KfA8,4272
torchtitan/experiments/rl/observability/metrics/processor.py,sha256=faTjQihgxgFixZJFCcw6ma-91tOKy0tth6x8_4qIne4,7923
torchtitan/experiments/rl/observability/metrics/types.py,sha256=YX9SN7kuIYdXGA4OaptGgYcy9AdXo6Aci9-WdAm8-vQ,12635
torchtitan/experiments/rl/rollout/__init__.py,sha256=WKxiIkIkX3K0zAiY-1rOfHjyPaKCxjudzwEpxbBfNew,861
torchtitan/experiments/rl/rollout/rollouter.py,sha256=XKq8wjk7nC0odlSXRoWaqY5jGo6lN5nVYwXP73_6ar0,11234
torchtitan/experiments/rl/rollout/types.py,sha256=i_sy_nvQL_gpPyiW3MgUw0wX5hZ9HH6Q1Q8HFmvw-fE,5672
torchtitan/experiments/rl/rollout/utils.py,sha256=Fax0vOiw3dMBe1MK3g1QbofrSQGFAOw5JRRf2wrePso,7228
torchtitan/experiments/rl/rubrics/__init__.py,sha256=YaqVXVptzPTP-WUhzK02IdahhRkNy_l5_mC1y5VwGlQ,343
torchtitan/experiments/rl/rubrics/rubric.py,sha256=obcldZ_vqd7UWsXUIIjlMeFuJJa3oSik54c8pJEtICQ,6764
torchtitan/experiments/rl/scripts/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/rl/scripts/loss_compare.py,sha256=lUVhmGOpqfWTqs1ricuXQTVCCEipor-iGQMzFGn9TNI,9715
torchtitan/experiments/rl/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/rl/tests/integration_tests.py,sha256=PR5DDbtaFxiZjXDsAeLUnNR_f257PsrcjoI8P4SHrSE,8660
torchtitan/experiments/rl/tests/test_alphabet_sort.py,sha256=yTEQrcFOT0OZbffuIbm3A9OcPnyig0kDtutnoZ09fTI,13791
torchtitan/experiments/rl/tests/test_bitwise_parity.py,sha256=AIHlO8dGt3s4e-twiFUjc_vFSk8A_4SapqojWzQvJFU,25522
torchtitan/experiments/rl/tests/test_engine_loop.py,sha256=GPwOM-ZFWtd0Pzt5OW244Ytao1PDmO1yRQmS_iq4gtA,3391
torchtitan/experiments/rl/tests/test_generator.py,sha256=LYQYWm1i2h5qSg7KWXwJgQ58aBu9HBK_xlqwH9KA_Cc,8387
torchtitan/experiments/rl/tests/test_generator_router.py,sha256=vweYY0qw8gSRxiLaZA0JKKIrVPqiT7HSxd6VmctPzD8,8992
torchtitan/experiments/rl/tests/test_metrics.py,sha256=swjxAcPp-6O3w-5kkDZBLFIFzzD87e6I0W-9_b22rkg,30591
torchtitan/experiments/rl/tests/test_rollout_recorder.py,sha256=azuluIo3GuVeFu8U-qOqpbUKeRN7858_cO6ZcC8BKjQ,7481
torchtitan/experiments/rl/tests/test_rollout_utils.py,sha256=6gS0Y3tf6ArmctZasdS8U9BPDxNvmUQZZvebhFlxw5A,4526
torchtitan/experiments/rl/tests/test_shutdown.py,sha256=7kOl2FR4Yqifwcnp6bh4zoVhk7SHwEf-7mO1yBSiBUE,9375
torchtitan/experiments/torchft/__init__.py,sha256=2dYny_YWM_CLnVvAcmz6v5srhpQVv4ECeQ3QQ7Sq4WY,420
torchtitan/experiments/torchft/checkpoint.py,sha256=NgDZy4nLgn40bnHKbY_XQMiK7lpVw0Euv-GQjHPbu80,8553
torchtitan/experiments/torchft/manager.py,sha256=zfqkEurbYdJ97RPkPa8MfVUSb2Fcu8OYyQG1l1CcIYE,8298
torchtitan/experiments/torchft/optimizer.py,sha256=r588p2m6ElxjkWYlwWBRDQMzc2_tm2knK_mBSR-Z45s,3184
torchtitan/experiments/torchft/trainer.py,sha256=yYrAzTKoeo0b82brAeWOfJ-p_1haJPp-tRlQw71hWuU,21689
torchtitan/experiments/torchft/config/__init__.py,sha256=Db-jVzkkFaheI4558dec04IXmnnctxI1GRdnfK1-1m4,351
torchtitan/experiments/torchft/config/job_config.py,sha256=0319jOZZZW4AE4Y4SUTiIwkf2TxWVGrYc1FkwIKpbE8,3032
torchtitan/experiments/torchft/diloco/__init__.py,sha256=h9fbOEV03tqMj9hUea9zQlkILbMaJ4JfhqndXMctAcw,313
torchtitan/experiments/torchft/diloco/utils.py,sha256=RU2HnXBFGKwrnLg0AqhRXH3ibdjjTwvEE6N8sMUva6I,5131
torchtitan/experiments/torchft/llama3/__init__.py,sha256=Ke0DbBdA-NGjHk6_XeM_0_m00ktdrqBjFKynQpkU404,1004
torchtitan/experiments/torchft/llama3/config_registry.py,sha256=X-ok7jZm1HOgkxdiBmYBnrWKs7bhcgw8NHrqtxxqUYE,2629
torchtitan/experiments/torchft/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/torchft/tests/integration_tests.py,sha256=I_wnDNCUh1g94GLhNtbvJR3P87cheTIWKV0lBffrY0A,4463
torchtitan/experiments/torchft/tests/test_torchft_checkpoint.py,sha256=ArTqTrEzBk-ykfKw6Z6BjDSibjCiSbhSSv12gRjUCxI,4902
torchtitan/experiments/transformers_modeling_backend/__init__.py,sha256=r4uZQBhZy5vnHtwjswVcwmJDvF40USQc6wLK_voCZ-Q,1625
torchtitan/experiments/transformers_modeling_backend/config_registry.py,sha256=FgEJzwH8hpzTQ4vU9OXWtde6O8BDt_gIe0Rpo_8_kFs,3182
torchtitan/experiments/transformers_modeling_backend/configs.py,sha256=cIIwDmttzQ_UsVv1lzKXeZPmZ0EstmgOr5-1DADIkaI,451
torchtitan/experiments/transformers_modeling_backend/model.py,sha256=0s6eGeI4K-eoeRdbQaq_Z0EyQjYb-1Pf6_GdBwMJXVM,30386
torchtitan/experiments/transformers_modeling_backend/parallelize.py,sha256=PEVOQBHouZA3c2-U_PMkRE1BlvjaJDZ-t-SNsKkB3CY,15246
torchtitan/experiments/transformers_modeling_backend/pipeline.py,sha256=HXjlbYOXY0rlPUhDA3G3E3gipSfKDqbHAnRaQ_351eQ,16953
torchtitan/experiments/transformers_modeling_backend/tests/integration_tests.py,sha256=2LOnpz_HcSwX4MzsmxV2ZDrurnido6suRYrbMXCT6lY,2175
torchtitan/hf_datasets/__init__.py,sha256=ZRjf52pomJHsMuuGDUbV67knxgOVRVgGHBDyRIIL8GU,409
torchtitan/hf_datasets/interleaved.py,sha256=dheDEJ9VACTcWsy2jMSkL1jvNQrxhkgWCm81iT9b--s,5754
torchtitan/hf_datasets/text_datasets.py,sha256=5cMEhXxFYXzxIjlpkDTNH37BBGP4AYOUwvbLJ15HEj0,29743
torchtitan/hf_datasets/multimodal/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/hf_datasets/multimodal/mm_collator.py,sha256=w-kCBzHYS36eRt67_wRI8oZec2wBcw8o-UL8vgki61M,14348
torchtitan/hf_datasets/multimodal/mm_datasets.py,sha256=aw4s1TB68ksEJ8vBzcbAWaLo224G0FIf0b1iJuuUUlU,22576
torchtitan/hf_datasets/multimodal/utils/image.py,sha256=JbntzxhkuXn1l4s_d21n2SecyDIYpJG8y8dIeWUaoxg,8685
torchtitan/hf_datasets/multimodal/utils/packing.py,sha256=avO-VyvFOYPGGsBaJRtMyy10Sv7ZD2bD9aW-xtovqSo,4386
torchtitan/hf_datasets/multimodal/utils/text.py,sha256=28YrTuBDK5_SuR1-OMFwwDqYAxkI_CRZjIYI9r2E2JM,3643
torchtitan/hf_datasets/multimodal/utils/video.py,sha256=FlTYdXPVxV5yF6qlNoyBZTZJDtJeBEP6O6DUEXW6eQE,5084
torchtitan/models/__init__.py,sha256=Uwj1ULDtKHHU3mBB_pAb6BhZKpPRk7i-XQJOAJibjUw,311
torchtitan/models/utils.py,sha256=CJazs8a6qsD6_nMKLUuAfBBqLCRGaODUWTUOUPlBGXo,22104
torchtitan/models/common/__init__.py,sha256=bfvYX8S6lIQykGAxarwLe51flrPVFjZA5YPqIGzdoDs,1729
torchtitan/models/common/attention.py,sha256=SWx6qL0YLMZqMywe3Aw5B6-zLgdQhFdoS82tlX2hHFY,26259
torchtitan/models/common/config_utils.py,sha256=pbGReNt_shPk6r15gpYmrN4GnN2xGYrMigVcKkIgxpc,8735
torchtitan/models/common/decoder.py,sha256=fBDdZsKrUxIDEqM_JSyCXCiNXKKvo3EzCu892Lp54XI,13220
torchtitan/models/common/decoder_sharding.py,sha256=GH6HrqRj8688esTADnkgkQZddaDMKcCx8iq_3PsezAE,10050
torchtitan/models/common/embedding.py,sha256=VbBWHe9vNFFsTqPctCYVmXMtq6q8f4OtAXBLRoxzFOU,2715
torchtitan/models/common/feed_forward.py,sha256=4ICUDKNUaH49p2XMY48DWa9-uvLkvSqJuY64_n3gWbg,1623
torchtitan/models/common/moe.py,sha256=P5HXVIiK4sL5rijmmAEYEmA-rOXwalZvbOgNWe9MWFQ,22405
torchtitan/models/common/moe_sharding.py,sha256=TjmfDxnCl9iwdW8M84QsIg6Sy-UWQdZ0WocfdSHNDko,11705
torchtitan/models/common/nn_modules.py,sha256=_uqbLpOQSDPJqDUkaCJO9bZlR4bP88MAX4XKXqMro7g,4787
torchtitan/models/common/param_init.py,sha256=yzgz1_d-qx1VzrllxGqyHKa6zMfOhu3GluAYp9hrt64,1009
torchtitan/models/common/rope.py,sha256=qbc57vOroVI4HcIcXEwI0wbjaJhupyg8Jm9mH1c0qSw,15562
torchtitan/models/common/token_dispatcher.py,sha256=F872RCWsWKNIj3VHauSIfX6WITlQxZV6kCeI-I0Ajdw,39374
torchtitan/models/deepseek_v3/__init__.py,sha256=UCA2cJoi_03NM1JsCv7qXt7qfCR7aDcjVWKBpJ5t4MU,16946
torchtitan/models/deepseek_v3/config_registry.py,sha256=P1Vono4dUIsheb0xq2akeI4mNw7jFmPwK-EUhGgZRjc,6142
torchtitan/models/deepseek_v3/model.py,sha256=OdKa2PKxIBRQFdGxJ9q_VUcZiW-aNR8a44KJ1R6StWw,7073
torchtitan/models/deepseek_v3/parallelize.py,sha256=gk5F54gX10kbmlr-vD52g_9sOYFk92xIcT57Bhn0PFA,3948
torchtitan/models/deepseek_v3/sharding.py,sha256=8cr-tLaz7NEH6HbCu7uv7YHjFpasfeo4rHyQCuQw0Gg,4845
torchtitan/models/deepseek_v3/state_dict_adapter.py,sha256=-w4fiAOWMwmlUT7cyIFOXF412deshvd2mVIq95QpP5M,10011
torchtitan/models/flux/__init__.py,sha256=h_ODMc08IZeS5PaCykDFEokIyUxJN6lL6BKW41Bw_MI,17362
torchtitan/models/flux/config_registry.py,sha256=rRCoP3wP8SCUcHYTWzqPwc0bABuzSdPGzt3H6CnESdo,8248
torchtitan/models/flux/configs.py,sha256=CR4aGBfx96R-ol-M2vwCepjafHlhzqFFWpwSbKOfYJ4,2837
torchtitan/models/flux/flux_datasets.py,sha256=ffadj3UMpttk6wtUp4PKyJZbmKUwbA5MEFnHxLP4j_w,15671
torchtitan/models/flux/parallelize.py,sha256=f_6QY6TEtcAct4EWTwsUxWOtn4z9pArxKFE1NdjGTuc,8316
torchtitan/models/flux/tokenizer.py,sha256=zuuHdpxRC_al2HfA_H8Qj3VIYISs-0NsKboNNJm7w8w,7303
torchtitan/models/flux/trainer.py,sha256=sNh1pzdqQ1rMRecHKWUwN2K7007R_-pv99ZsZTrMREY,13389
torchtitan/models/flux/utils.py,sha256=wo9fhcy6vDP_lkHgmIvnCWmIrUD9QlaQfXA00Id60_Q,5969
torchtitan/models/flux/validate.py,sha256=e32VcfW4R9WkT1vHM5FY1lINxyS53CbsK-_2x8oiKOE,11525
torchtitan/models/flux/inference/infer.py,sha256=AOk-FubBkAikKC38lXkX6b5rfRgsF6eBFBYJ06vhmXU,3646
torchtitan/models/flux/inference/sampling.py,sha256=SRpTGEKHqZuKPgOKSoKft5N3MzZBrLoPA0mQYhluOAk,8144
torchtitan/models/flux/model/autoencoder.py,sha256=X2C_Q_1LHm5gLHiRrSRTwByEQy_iGtLITx4yVLAzC1w,15051
torchtitan/models/flux/model/hf_embedder.py,sha256=WOBmExPBN5g_cWVE0SrXZY-fl-hlrf3CLraRbyWFRtQ,2968
torchtitan/models/flux/model/layers.py,sha256=UGOaWBkuMCHXPupp-vnuKAErvEdlhLOqhJwDXE0P7mE,12468
torchtitan/models/flux/model/model.py,sha256=BRGUixKK2SlR9O8rTCU3clAcbR8EznKHJv3AOQX2Fgc,6788
torchtitan/models/flux/model/state_dict_adapter.py,sha256=tTpLuGyLC724adcKDc0NJ-WS_DJkvxvTaDQ8SsKkE4w,14039
torchtitan/models/gpt_oss/__init__.py,sha256=E2JeGtRvovJoZUFORI1cRUGs8OJM_M6MgYJRN1Jr_Vc,11145
torchtitan/models/gpt_oss/config_registry.py,sha256=M-wV_pgVt99Is8WmpqMLy3BsXZHQ7FsrDZgcBAfdYtw,3607
torchtitan/models/gpt_oss/model.py,sha256=A2pFZg3EPNPnPaeW_0jdH_-U56WtIfoj_pXsDqrqCGo,8237
torchtitan/models/gpt_oss/moe.py,sha256=8r0aNyglTqkXLZ_APXKGhf4xjyd5X_w6SbXA9WPj7o4,9443
torchtitan/models/gpt_oss/parallelize.py,sha256=LP42Hr-nqsqgD5UsCOAtTPMrkUwDGIwmQN3IwdSbxqM,3782
torchtitan/models/gpt_oss/sharding.py,sha256=M92aITXKv0pCYy_83oyKQlVuoWeG51SQj75Bf1b5Nac,3639
torchtitan/models/gpt_oss/state_dict_adapter.py,sha256=nP9wDn22-zvsghWwTGb7RTnfcqqLBN7S73i17pHDom0,12948
torchtitan/models/llama3/__init__.py,sha256=I5mXq9bwB1ciIkbpbjE9FC5h4B4IC7LKCLo2XUvrKfE,11638
torchtitan/models/llama3/config_registry.py,sha256=--r7n-3i2H3an_Ur-sJUNcqeU0fO5tidTlQqFsS7C70,8434
torchtitan/models/llama3/model.py,sha256=Nwd5DrWke3Z9cu8sonEOPDTly3jRqrPb5uKdHBbwwO0,3292
torchtitan/models/llama3/parallelize.py,sha256=oeB8vNgN_O8TDTsG3OOg2ddWePLNruVR2QqebdDKl6E,3860
torchtitan/models/llama3/sharding.py,sha256=rJmCWMh9XXTGHnW4fS9IPo7b2chi7nR_qR82NDR1hDg,2602
torchtitan/models/llama3/state_dict_adapter.py,sha256=Va-DIfan2ivV8dWFJrewjLpZMwsP51ogs9H2uoQyV9k,10342
torchtitan/models/qwen3/__init__.py,sha256=PRBzTG_jceKPiMmTKpkMkL1127RvR1NVLROexYKT4qE,18109
torchtitan/models/qwen3/config_registry.py,sha256=hodCE10Lx_a9tEk8TE947Bpv8tP_Y2ztV1qDVXnvphQ,11774
torchtitan/models/qwen3/model.py,sha256=g1s9js4qN7xDLiWYuHCxNlHczPgjsPFwDVr2YVMv49k,3675
torchtitan/models/qwen3/parallelize.py,sha256=gLsyY2gcYWfaFJTuPfzzpwyEUk2OYyUX3OaWXVsPevA,4445
torchtitan/models/qwen3/sharding.py,sha256=OscVdthLbKKOtPKPKHPuW7cKJOitICRwLcyuauoZZk0,3663
torchtitan/models/qwen3/state_dict_adapter.py,sha256=n4XyzEfkcSdVzryHiga0F_oesVUcSAMTPeGyX4Hd2XI,13200
torchtitan/models/qwen3_5/__init__.py,sha256=usETwo0QICa4CiItiAzzLeWdTSbojqbn6gqbfmEpIoo,33118
torchtitan/models/qwen3_5/config_registry.py,sha256=IrkDAiBtleQsxraOnQE3E3g9iQ8mUgCUEMvNyQb6quM,10581
torchtitan/models/qwen3_5/model.py,sha256=DM8nsuzd2lF0kZGYnVshG_Gv69u38LPSXQ3hwrhkuuo,28340
torchtitan/models/qwen3_5/parallelize.py,sha256=O4rV9dRfhw1fcb_Rvm9dW0mQi4BhhK1rTPNbQEY0FMM,7241
torchtitan/models/qwen3_5/rope.py,sha256=PKW3v0CIvc7_599Y8MipT5eKQeeQjVME6AjdEkylRek,4544
torchtitan/models/qwen3_5/sharding.py,sha256=gIFRuT21MfnkDXzhq0MB93KJAbcPWzKrX2Dbyp4sQsY,12041
torchtitan/models/qwen3_5/state_dict_adapter.py,sha256=U9Hebrng9cXc2c8eC6kcBW-3MQBz8nyBqDRzut8A3GI,18234
torchtitan/models/qwen3_5/vision_encoder.py,sha256=7qQdAD1qdOCoUDz-07Jv7lLjWyLLCjuUeK10cRx2w1A,18776
torchtitan/observability/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/observability/structured_logger/__init__.py,sha256=wc9bQD2XDeOITPwXjewQ88VFp3SY0vkIQJLj9ta4sfc,1125
torchtitan/observability/structured_logger/gantt_generator.py,sha256=62nHJiqQUw9xQmq_IdMTXuyzc12wv95xkQpUafy3W20,17999
torchtitan/observability/structured_logger/jsonl_handler.py,sha256=rBypS8vvbUV5PmS5j4uj5CNQkPdl3SRhd66KAYNdDlw,7274
torchtitan/observability/structured_logger/step_state.py,sha256=mFXECy4VMI7XhmqCNRjUT6AQYltfgj3I7tqa1-Ge4YA,6676
torchtitan/observability/structured_logger/structured_logging.py,sha256=CqtDqBpIN6N3S-FReuu12gfCX7C5GV75SA7qJpiFzTA,15966
torchtitan/ops/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/ops/scatter_add.py,sha256=vRS0OPllf689jGW2OFG9SNPHcIs32GZXo9751Z1Fm2E,1561
torchtitan/overrides/__init__.py,sha256=6AnJNTCvUUhGKTtChhMAAca0lNhr1ZKRXpzhmuHxxYo,741
torchtitan/overrides/fused_swiglu.py,sha256=qO92Uiik5qpdXCDzUpa_kOV1IXwAJl308seyoYT7094,7610
torchtitan/protocols/__init__.py,sha256=GGQ2A6rIFsJwq9uSFMsBdtETRInNMp7mvTgUxXE6-8E,549
torchtitan/protocols/model.py,sha256=dKRfho5FztYWOdNNIrV_7UMJMLlPuDst-JEf9JIRaMY,3086
torchtitan/protocols/model_spec.py,sha256=RHvc35m-RX4YAw-UacqPNuFPqFdJlQ1X_Fw7kUUv2n4,2756
torchtitan/protocols/module.py,sha256=Hyr4bIzyXWHBz-b_V1ji_Qu4MUnyy_3t4mI0eYTmWQc,27201
torchtitan/protocols/sharding.py,sha256=MFeQK_hiRha7pqmAsScBXCbmU5j2N49FQYoNRM5UHoo,6925
torchtitan/protocols/state_dict_adapter.py,sha256=AwR04IqG_87PVkVDXMi4QSZoMf79ykAbYF-EJU1TibU,5924
torchtitan/tools/logging.py,sha256=hVIiraYbAybPDHpTWwY72nuRizRjRuDLAAO10_Gym3g,1203
torchtitan/tools/profiler.py,sha256=3j7kQiU1iBJmOdLXTykWkTZpGcNvslSXVyxa62Ti7y8,12966
torchtitan/tools/utils.py,sha256=eoNMsyNJdvaqqXgkuENEAyD8NmNwQ89C67fSMpJKR1U,10463
torchtitan-0.1.0.dev20260615+cu130.dist-info/licenses/LICENSE,sha256=buowmVlBEmvuuZ73dfCWjtgyC-tINK0o1q5nBKGpKTA,1495
torchtitan-0.1.0.dev20260615+cu130.dist-info/METADATA,sha256=vXNZ3WqTcuxrjfOnUDzaWZVx-YB9h5XY7NRoeJQ5nqQ,14172
torchtitan-0.1.0.dev20260615+cu130.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
torchtitan-0.1.0.dev20260615+cu130.dist-info/top_level.txt,sha256=5pGGlQUIiuryxYPa4ifDYpGLSLdQxHGShPIWklfvLCs,11
torchtitan-0.1.0.dev20260615+cu130.dist-info/RECORD,,
