torchtitan/__init__.py,sha256=acav_B03dMRHQ9yPXXaJNP0Qv08uZZRjVaLJuLYH1Ac,386
torchtitan/train.py,sha256=sm0MVxMYPtw6vxf2AllSrTMiTcyF_kI2PfzeXXZDNHA,2094
torchtitan/trainer.py,sha256=Hqv-VqwhceyVfTNN1VXuHQT4GrY-EVge_pFId-7Ac_E,22053
torchtitan/training_engine.py,sha256=5WXKcmtcq9OTuEAGSnHc_YjwkWAnDuYXub4WzfG9UOM,31321
torchtitan/components/loss.py,sha256=KVHlO1mIWYeRG3-c6A5W_sH_EvP91kra44kCczxNAOM,33700
torchtitan/components/renderer.py,sha256=-xavaW1O71Ubkld8VFc2OwEvIpRsyldWmZTg7COlfRc,6277
torchtitan/components/tokenizer.py,sha256=B2w2xUCWkv763vXMXAxftcXBY3kgl5orX9EYqaAcKU0,21760
torchtitan/components/validate.py,sha256=upZSFzbTtAyV2ohXyXnANUfDdRpnN9Hf3ywPMWIAGCI,12422
torchtitan/components/checkpointer/__init__.py,sha256=JLyLKq2OC6zxWaVIIgkJWBLT8T1kJAxy76LN4j_19yg,660
torchtitan/components/checkpointer/base.py,sha256=JrVl0xpSDiKgo-kShDOmybVzkssAh09xxy_TysciwGg,27067
torchtitan/components/checkpointer/dcp.py,sha256=8c0G4FWGQvxGx3sGesgd6wjjf2ut7-jwG3kCx5RaiOk,25558
torchtitan/components/checkpointer/torch_checkpointing.py,sha256=grRp9vIfz5kdnr7WhfxHBLbnmrlhBFknCzh8ho0NsFw,22123
torchtitan/components/checkpointer/utils.py,sha256=OwOVgfezgZeoxB6fJiv-Pg8hIdirfDrkARykBIK_RHE,999
torchtitan/components/data/__init__.py,sha256=fIcceuNbfmju-7nsvO-c3JstfQo6QoqxPMyeljMrC-s,1573
torchtitan/components/data/collators.py,sha256=4woAQUTNbmgMLJqsW7R_o-KHEmQL8_ITVztzHQNELqk,4066
torchtitan/components/data/dataset.py,sha256=_LEEvxyhVUfTxfx_U8mZbVqsSGNudMSR-x2eqxESKuM,11394
torchtitan/components/data/loader.py,sha256=Vlu4afz7rcXAhLWgSK_YC2YB8Vvw1jqvlngm4gkiwLc,7547
torchtitan/components/data/packing.py,sha256=3SZnO8vMcuBAqhrNDrc-LSh5Mg-dDt8uW1nkr7LyA20,15365
torchtitan/components/data/sources.py,sha256=SUefvPbdrObG13fwH5d1av_CdM51BNOXCz_Ae1H7SsM,8534
torchtitan/components/data/types.py,sha256=4_v5j2xcgQw_2KOjvrIhkH-5gfDK7ICiDE7Y-hs-hNU,3340
torchtitan/components/optimizer/__init__.py,sha256=3FLKSWBWSTsydm3QH3NDMGQrvi2T_YEOw-EIw_vhvpA,662
torchtitan/components/optimizer/ema.py,sha256=HoauWe3MCcaG8Q42huGps9s26T0Vrzu76GYeXw7XU3M,25202
torchtitan/components/optimizer/lr_scheduler.py,sha256=EF_OjL95UjTEPeyNXdj56Qe4zhMCHNIEhoWw8K7i51w,11007
torchtitan/components/optimizer/optimizer.py,sha256=PTyp1Ge0SKQzxDKFxz899qSpKzxRnwEeuQNyC2ZxdwY,24705
torchtitan/components/optimizer/utils.py,sha256=QtYmc6aE-EiWwiA8lo8CAWpGtf4o4y0hE6oaZ5d1HC8,9147
torchtitan/config/__init__.py,sha256=vE1xS8tQivVCzsdlrI0Dqac3IUZKyLaDXmSjVapW1VE,1101
torchtitan/config/configs.py,sha256=Ru_F2ygxyv4T4ERCR0HtZw5Ln50sd5ZuGAtYS7t5UF8,16891
torchtitan/config/configurable.py,sha256=KjJ4wuyEDNOp0YB1_ricYUvLuWfP8cy1zDEsHF6qm-0,8102
torchtitan/config/function.py,sha256=pnKCUCUl7mPmFCG37Bi3W8b_RIiEWYaN149NVwfYc34,1239
torchtitan/config/manager.py,sha256=v-uGHTHUB_WhDJX5dccNQ4r9k_DxQL3jD3LoiKlFUAY,12177
torchtitan/config/override.py,sha256=RPsvlSxRk6FUQD6RkPUDExk2N9IwwrYz0bsR6TsxQcs,21089
torchtitan/config/validation.py,sha256=-628uq6Pbe_bKYV6DBnvDbqQJ5eM7IFzQESeEwH7Yag,6895
torchtitan/config/transform/__init__.py,sha256=oeJuM9YD5e-6vgJBdDANO6ssHrd6BYHqJLtFssGqdc4,1411
torchtitan/config/transform/apply.py,sha256=Wyc7aphCg0JV5dbiqUuzV30cfDl_bHFtaON_-B0mOuM,2949
torchtitan/config/transform/base.py,sha256=DSENKt3D3aGhKLAibn_hnffWTzTD5i_4qiumBd0YGcY,1734
torchtitan/config/transform/batch_invariance.py,sha256=deAOr_zKlbozYMAnPXriytdf-ABd_SISzQ5Q8WS0FOI,1428
torchtitan/config/transform/cast_linear.py,sha256=9LvsVMvUTAdZKjTc-IqFGzCo2KwhwrQH4BqVjKYaiTk,2862
torchtitan/config/transform/context_parallel.py,sha256=9HaQ7w9wcbuzXohgEtzU0BlWukrXClo5AePyyGwAXtE,1559
torchtitan/config/transform/converter.py,sha256=19R3yrLdxLRzKQmEKtnSxcm7xzEmw89S6qmujnuwSUw,1907
torchtitan/config/transform/lora.py,sha256=BR5e37f4AZ3SkZV7wTjJ85MxAVg8Bu07Sa1viI4-xHk,7203
torchtitan/config/transform/quantization.py,sha256=TFil3l8pa9rXdwkP6IqY0dBlcuYj_TF3-_pj8cS5RRY,20137
torchtitan/distributed/__init__.py,sha256=AWX4xTrJ8LIBCmjoTddNVjQEd2H-HqpIfrg4uIS5kzM,306
torchtitan/distributed/activation_checkpoint.py,sha256=DlSKRgt9OwH6wWGkVKIjBqrvcwAzwWlgcgCJeCvbx40,18070
torchtitan/distributed/compile.py,sha256=FVRKqXpYTA9hamjI3Niiw-XArob363i0oSiLmuF8qXg,6397
torchtitan/distributed/cuda_graph.py,sha256=GqYuMy2aX-pCtaRZrx-k4kCmQIi-UY_PuDn4YHyZwSM,15174
torchtitan/distributed/fsdp.py,sha256=Ei_gdp9s2v08-tFt93IKjUFp3gJXPUna8w7abj7lXl0,19500
torchtitan/distributed/parallel_dims.py,sha256=qUNaEXgQBATUy6cCG9lGw2WQ3Jmd5PmZT8Y83MqNes4,20166
torchtitan/distributed/pipeline_parallel.py,sha256=9imceQjOwPLnH3rbQf5uRdUfRx9-Xwb8gR2Ywy0l7aA,24938
torchtitan/distributed/spmd_types.py,sha256=4SqE6GQuwcL0jhZcodi-kMUvrmdmaXNMaJmSkD31pHM,19382
torchtitan/distributed/utils.py,sha256=Qgg2gbIJ0uz0U_CSLvzG1EnUN5m6lhVgj-a_NJ5zIrw,26969
torchtitan/distributed/context_parallel/__init__.py,sha256=ktq9jIN9ZexmnZfHF7x8i9pYwnVrew7jbPgZ8-oRHF0,570
torchtitan/distributed/context_parallel/api.py,sha256=CkdoxN4vsPQZLRC4DDSe44Y3AUF-BDY9BbxLkOYgz5o,10958
torchtitan/distributed/deepep/deepep.py,sha256=9b2wrb3u7ncD6EXYbqHlGyfPsRRJveU6OzaeWY6NNNk,26986
torchtitan/distributed/deepep/hybridep.py,sha256=C7bJme9MVC-AL2X1X6A_4yotE6gUnj4memAT4YNF_XA,18470
torchtitan/distributed/flex_shard/__init__.py,sha256=JxxO43W_WT5wztdAnjCGv9m52mjorue-fksNsXh44nQ,492
torchtitan/distributed/flex_shard/_optimizer_reshard_runtime.py,sha256=DmRdeyLB5CxhX8SV4AmM504v6j6mW01PNrXwM55rcw0,29368
torchtitan/distributed/flex_shard/_optimizer_reshard_schedule.py,sha256=WbFUtvgVm631BG8tdrE76xagtkAZzbYqFB4Yb9UU2GE,47056
torchtitan/distributed/flex_shard/dist_muon.py,sha256=HgQr7lXHz3h2XcR_xDnfhlm8BJWVL77ylMzU5HkG_EU,78412
torchtitan/distributed/flex_shard/optimizer_reshard.py,sha256=UjUK-hABWly14u_jk0II7IEoAV49hEWmd1ujgTeJg2U,12369
torchtitan/experiments/__init__.py,sha256=jOmsac4FKChbh9lFksDMoMQPXrpxddytcsjWZ-ffows,810
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=8HLkZZng7d-fbsBkY45SMHmp5XHuMLPPjNO3t4zeJLU,6046
torchtitan/experiments/graph_trainer/common_utils.py,sha256=GnA5iR0ncJMPsNTZ-oTbnD42IRkWN_oLEJa3IgT0ulw,20377
torchtitan/experiments/graph_trainer/compile.py,sha256=rAwuUKA0jPpZGQXVYOAD5b-_o74kows3BsmiJc2qkSs,4068
torchtitan/experiments/graph_trainer/configs.py,sha256=GNRx3eJqiR20dmF9gu7o6ZQPQOh1ITy4U5jjS9Z_y-Q,11626
torchtitan/experiments/graph_trainer/cpu_offload.py,sha256=KjfANcv7flSPxC3cgCoGzxbJmGOFBzMA5w77kPY1qhY,28170
torchtitan/experiments/graph_trainer/cuda_graph.py,sha256=bfgqZI43PyL-4JrrJOnOy9IQL0YNLEaSl5oTe9oV1L4,12636
torchtitan/experiments/graph_trainer/custom_codegen.py,sha256=aIdjL5LKpA747DFzU5zlJDwJDHHP6sE9ArHT7u55w6I,23427
torchtitan/experiments/graph_trainer/debug_utils.py,sha256=aa_d8dI_eWGBrmpH6PQakkEwTy5gR7KqCqVfDvbQmM8,4103
torchtitan/experiments/graph_trainer/decompositions.py,sha256=CliH4Kkwlz7tPCfjZAtSCr76uZxe93qNiS7R1Ziceio,3238
torchtitan/experiments/graph_trainer/dynamic_shapes.py,sha256=ZMPRnR40d_BzOMp5BaprLYIqVRtvaKLl4yBm5IqyimI,8810
torchtitan/experiments/graph_trainer/ep_chunk_pass.py,sha256=0K0GxRUR1v7QGJ8atrEoHLDf0njDiodd76dvRx-v89s,88498
torchtitan/experiments/graph_trainer/ep_eager_chunk.py,sha256=kJyGN00svnx5g99wD1RywcBvd3K8NIRgJqnzgNnNsDw,16478
torchtitan/experiments/graph_trainer/ep_overlap_pass.py,sha256=3SW6RnxOt0yDDgalYLfiQprPXp6M7ttLM0Il_V7V-A8,35285
torchtitan/experiments/graph_trainer/ep_pass_utils.py,sha256=Vwt1tjAKv04OxTo2ISvmFod-XnY28cGDxeA1hVzPlHU,26850
torchtitan/experiments/graph_trainer/ep_process_group_pass.py,sha256=vhitK70EPFqRzKvMZ6rDjqJPNIA17B5i6dFAyObEhCs,5806
torchtitan/experiments/graph_trainer/fsdp_passes.py,sha256=QZAh2qsQD5IyzjbNcJWkwyCswrLpQpY1eh2LWz0k9U4,53788
torchtitan/experiments/graph_trainer/fsdp_patterns.py,sha256=UL9ixVvl34kwn5YONsSdf6MSVB_jpvCEBKv6MXbkAr8,18007
torchtitan/experiments/graph_trainer/gradient_accumulation.py,sha256=E9gZRcM3xkVPARD8Yeq9Lah0bEEkdn9sUNet4hdJdsU,11007
torchtitan/experiments/graph_trainer/graph_utils.py,sha256=4jpZZobydUeXLCUZrfSuxfDx_UeXEcMEGdHUiefsqKE,8576
torchtitan/experiments/graph_trainer/inductor_passes.py,sha256=Pv9NdAci_r2wLBMLk-6lCKsjTvdc7DSUTEb_j__I0Ro,15918
torchtitan/experiments/graph_trainer/jit_backend.py,sha256=hIky0tY-xUtAnHADJQr3JPEMmi33iyWakoBFr_5RNC8,5651
torchtitan/experiments/graph_trainer/log_activation_memory_policy.py,sha256=J3WwcIzWkuWZxA2phRmeOa8vJaJwkGUdWNBdCRyF2oU,11802
torchtitan/experiments/graph_trainer/make_fx_tracer.py,sha256=DJpFkRA0iyz0MI0xBk8ispIME6P1IL3wcEeB9wLJwqQ,29465
torchtitan/experiments/graph_trainer/memory_policy.py,sha256=m7hystlS98993HSbpdPzUK4hKgDGKpFMoezyEMLaduU,22083
torchtitan/experiments/graph_trainer/model.py,sha256=cPuRbQ0dKR9MbkUdIz35UW-VrwxG_kgkXeVo3ZP9egA,2703
torchtitan/experiments/graph_trainer/passes.py,sha256=Ds2v7JxR5hzihCePMGemglO8C_xV-B_TP_fcD1Qt_-M,21674
torchtitan/experiments/graph_trainer/performance_passes.py,sha256=2uXYFqhZUKuxCMRqr-eApw953Z76Lq4RU68YmK5LHZc,2496
torchtitan/experiments/graph_trainer/precompile.py,sha256=S2lco3glaFcagb6RT3Ldb5ypD71iVYDngRQlsCPKiI0,13984
torchtitan/experiments/graph_trainer/precompile_main.py,sha256=_-6qfjkhobaZANhd00-n-zthdw41NS9l1qPe4IKBp6k,14161
torchtitan/experiments/graph_trainer/registry.py,sha256=Vdm1Wa9pXlTpXLhCj5oEvQH5yIlD8e7-18H-rTauN20,1905
torchtitan/experiments/graph_trainer/remove_noop_passes.py,sha256=e6liJjJ8ApDeRkq74WXnr3eHA_7vXusW9pW89FZ_Tfw,15795
torchtitan/experiments/graph_trainer/runner.py,sha256=Au7CwW1LRYEuZZ4UrA9jj1b3MXS4amJCj7NUmmq-m9Q,10798
torchtitan/experiments/graph_trainer/selective_activation_remat.py,sha256=VHTXy9IeJ62u9Ta-1mzv1igmbCj9AHw1_9bIT0XKV0Q,17910
torchtitan/experiments/graph_trainer/simple_fsdp.py,sha256=qn8d-QOWgu7SbRkr45AUTJ5ix7pSfiXtWzryMEAobII,19761
torchtitan/experiments/graph_trainer/storage.py,sha256=HmKMWksA_e2oL29m-86dmKQFSo-dBawvgE_7DF59YDk,2777
torchtitan/experiments/graph_trainer/subgraph_regions.py,sha256=o6At4Q_P-hnzdQS9whWw0Pjy_J0mHrgEqWtTdt1YU0A,21763
torchtitan/experiments/graph_trainer/trainer.py,sha256=wW3_a8HWFjxzL5u5dmUegwxN9XXh_90y2CxZ5-U-xjI,19748
torchtitan/experiments/graph_trainer/deepseek_v3/__init__.py,sha256=dheGj19AeWn5d9fpVS4-H8jHjRGWHLQ7Rtvg_8Q1mnU,1333
torchtitan/experiments/graph_trainer/deepseek_v3/config_registry.py,sha256=Xc6kDYSS_yTd6A3bCd-IIOZGpWnFxb8vw43vjEV5L1w,3401
torchtitan/experiments/graph_trainer/deepseek_v3/model.py,sha256=5jx8sFarK7jB7fJY_gAzr_HOLwlmVvZKEVzEM5Gr01g,1212
torchtitan/experiments/graph_trainer/deepseek_v3/parallelize_autoparallel.py,sha256=JCdtSRMVk1q75VGCVCbLwU-mDY5XNnJ8LY4bQhE6khc,8176
torchtitan/experiments/graph_trainer/graph_pp/__init__.py,sha256=vTqX-CflxZJi_uCYmuHpKLy6o6SJH3u8wJN9VpJCL9M,1043
torchtitan/experiments/graph_trainer/graph_pp/graph_builder.py,sha256=BE5ZaiE-7_4opd5VdB8S1nrXs9KySVnC_jM4S0okFEE,52774
torchtitan/experiments/graph_trainer/graph_pp/graph_multiplex.py,sha256=7hJngHog3mzPHbNWZknjmA-zy7ddPeAlUXbjrIo8S8g,6872
torchtitan/experiments/graph_trainer/graph_pp/partition.py,sha256=gLX6DZ3vu3UGorTWB1-FcRVKk_6LsSNaM8ox9gDc-To,24768
torchtitan/experiments/graph_trainer/graph_pp/pipeline.py,sha256=EvtydAXFGnppmDVyghcdPE4SfJq08K06kXWA_60LiRQ,6528
torchtitan/experiments/graph_trainer/graph_pp/runner.py,sha256=5krqgLW7nup3pjliFxO7boUOTE9ukTY9a9YqOwApwJM,28673
torchtitan/experiments/graph_trainer/graph_pp/split_di_dw.py,sha256=FGlh_b0dXu3pKoaGKf5efxaqFqiGapULqeYXXtyzebQ,9908
torchtitan/experiments/graph_trainer/graph_pp/split_fsdp_collectives.py,sha256=81Gy-W2cBFd1WJ_IIrKWsqhCBAcDgQmINWm4U9Agkog,15417
torchtitan/experiments/graph_trainer/graph_pp/stage.py,sha256=ytcIHwfHaXXdB5Ipy5X5Fcl-ZoqLMCkFwlUl-8kWCWc,14476
torchtitan/experiments/graph_trainer/graph_pp/utils.py,sha256=9yryKAcOVIwneBLRKDanWQloGHu22DTcXEMULftOnRg,22433
torchtitan/experiments/graph_trainer/llama3/__init__.py,sha256=zk21nuyUUYqT_rqX5EYGxQJGEOSni-b4V_wolrpu1M4,1231
torchtitan/experiments/graph_trainer/llama3/config_registry.py,sha256=xC9ek57dAV1vF3uhgA6FQfNciKLXXh0vxvac5LOW5so,7078
torchtitan/experiments/graph_trainer/llama3/model.py,sha256=NJnzj7nsvVFW28LSvKaNdH-4iqFoNDJWAPEmwbTAjDo,1181
torchtitan/experiments/graph_trainer/llama3/parallelize_autoparallel.py,sha256=Apmyl_ewFixeRqHKYlBdMFeMgTAXl6ARxsZSZh-wru8,5701
torchtitan/experiments/graph_trainer/muse_glimmer/__init__.py,sha256=67l5Xxizbv-wF79qqIAMfRii3fvFFujBxa6swHCoCdk,773
torchtitan/experiments/graph_trainer/muse_glimmer/config_registry.py,sha256=89hym7bB8GMNEuqnPcCpaaCyGKTt9fS2HI6BvRvk13s,784
torchtitan/experiments/graph_trainer/muse_glimmer/model.py,sha256=W8bOSOk5t6mF_fh-l8pZ2veyEnyWrPAgjH625ovOx0g,885
torchtitan/experiments/graph_trainer/qwen3/__init__.py,sha256=0IDoPYUQAOREYmg2kQhulg06AGXOw1vxBDnV5cD_VNA,1238
torchtitan/experiments/graph_trainer/qwen3/config_registry.py,sha256=imOZ7C9CXqWhm52JMrK4gIKLw2I93fGgViPMM1oDvD8,1226
torchtitan/experiments/graph_trainer/qwen3/model.py,sha256=Bt2fsJGG6q7UD0wAS0g7P0iFEsu_Zq0_40MzN0SjCO4,558
torchtitan/experiments/graph_trainer/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/graph_trainer/tests/_trainer_test_utils.py,sha256=gwcMDxfL7zMx09kJqUE2BzBUzK0aVYOV4CPEkSe7h28,5733
torchtitan/experiments/graph_trainer/tests/integration_tests.py,sha256=-vgny7DSHCPSmvTK0g2Bh74uI93wQIKSjVLEmWTFD-Q,32374
torchtitan/experiments/graph_trainer/tests/run_precompile_tests.py,sha256=aNhvZ5uTm6-o1Yg8ZXphkmiKbYzUrn_8r2jpJvaDZEU,7463
torchtitan/experiments/graph_trainer/tests/test_autoparallel.py,sha256=5ne3m8t6HtIo7hf-LfNhbQdrpYSbkiMckUZnKgGaeIs,7728
torchtitan/experiments/graph_trainer/tests/test_bitwise_deterministic.py,sha256=cG-b5IOoCdUlMZQnzPZguQ2sV9dpYUtJwRcMaI2TTX8,35614
torchtitan/experiments/graph_trainer/tests/test_chunked_loss.py,sha256=ROsemXGHX8shyF1mwvdaON5cqIDNUycjST1Flu81zgI,6749
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_graph_pp_passes.py,sha256=1PNXvEPRbYSse5sGo5FuY0RjXolxKRuqVp0oHA09RqA,51185
torchtitan/experiments/graph_trainer/tests/test_graph_pp_runner.py,sha256=V7Q0Pc3NbuRsaW4LSPewiUgQm30YgAXOC1PKa4suNR8,39628
torchtitan/experiments/graph_trainer/tests/test_graph_runner.py,sha256=HgkyWWZEG2dmEfpLl_XCyCgkNj-RoHoNBvBq-CTWeV4,6995
torchtitan/experiments/graph_trainer/tests/test_numerics.py,sha256=QDzcvRoHJxsBhiszbZUOs-QKc-xEHXe6gKSfvDk6UNc,44985
torchtitan/experiments/graph_trainer/tests/test_passes.py,sha256=baZLkN1IKuSYic8n1GEsr3tYEjIzscyIAoKiBGtuNeM,320014
torchtitan/experiments/graph_trainer/tests/test_performance_passes.py,sha256=-q_98QSletjDlj8EXd3YCatY8IlEEK4wPO5Ro_qzf_4,4717
torchtitan/experiments/graph_trainer/tests/test_precompile.py,sha256=Ynguz7a59h70dHmMBpmByzyR49DkglTjLHH1eWGGo0c,22571
torchtitan/experiments/graph_trainer/tests/test_profiler.py,sha256=4Tr-YOaV2jKKTI5gVjR2tTjM7yRNJg7NqQFh04qETlQ,9381
torchtitan/experiments/graph_trainer/tests/test_remat_metadata.py,sha256=obtqgVxhHMu7ofvG3YAILGiUXERlpm4vAV4WZ8VKLZU,7661
torchtitan/experiments/graph_trainer/tests/test_sac_peak_memory.py,sha256=X6Wy_CBqTII_71LjoZSwIv3q7kq-1fBo1L2OO_ZDTGc,7943
torchtitan/experiments/graph_trainer/tests/test_simple_fsdp.py,sha256=Z21mpw_-b-ACwVoM_VZc5fybnjdOnf1R2Tp40olRkTU,2156
torchtitan/experiments/graph_trainer/tests/test_subgraph_regions.py,sha256=56LjHSspt8NmILRiAyHQNuBYKaphKyp6AC3LVDSw3CU,7181
torchtitan/experiments/graph_trainer/tests/test_trace_module.py,sha256=x9uiqNpCZaru99jBPrktXs5oJpvQyzWGIYVGdcre_Zc,110793
torchtitan/experiments/torchft/__init__.py,sha256=2dYny_YWM_CLnVvAcmz6v5srhpQVv4ECeQ3QQ7Sq4WY,420
torchtitan/experiments/torchft/checkpoint.py,sha256=X6QLKVPwcf6rv44G5h-bzNZW0Aw3o2YWMraDBuA-eds,9851
torchtitan/experiments/torchft/manager.py,sha256=UL7CxfULUxm0Fo4HtbbxbQ95q7x6zySVqgFV6-jbMbk,8447
torchtitan/experiments/torchft/optimizer.py,sha256=UQNc1w72h5JPJMFhbWaN6lFGanO-VLedxKDpNHS4toM,3070
torchtitan/experiments/torchft/trainer.py,sha256=Bmflux3K1XKG3UlydJJvunSMuvQEYVw-iSu48uGbY2I,20797
torchtitan/experiments/torchft/config/__init__.py,sha256=Db-jVzkkFaheI4558dec04IXmnnctxI1GRdnfK1-1m4,351
torchtitan/experiments/torchft/config/job_config.py,sha256=-9jAyMXmaIGNkX_iL29FQzLX_ANwnhgpn1CVdyJLtzI,2844
torchtitan/experiments/torchft/diloco/__init__.py,sha256=h9fbOEV03tqMj9hUea9zQlkILbMaJ4JfhqndXMctAcw,313
torchtitan/experiments/torchft/diloco/utils.py,sha256=0ahJf6vuVh3LnwzCXJuuLXAu-_t5SO3CK_ZqiT_kZJ4,5142
torchtitan/experiments/torchft/llama3/__init__.py,sha256=Unzh1Ye4EROCJ32IU4HvXQhGTV_VHJ9jM9ZN52OPbSI,1006
torchtitan/experiments/torchft/llama3/config_registry.py,sha256=VTzIFZbspb3CYMo-ATXBM_2H2xrxAVbkB1hJDXkWENM,2813
torchtitan/experiments/torchft/llama3/model.py,sha256=JqDVrmFcqxPRuPCQwBYQ3b9-tgmtRNQyoUshoDGTuBM,539
torchtitan/experiments/torchft/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/torchft/tests/integration_tests.py,sha256=TFYEYqi6hlVeUQyzTwG2yIImyS16gTq-CLL4af8Q1sc,4617
torchtitan/experiments/torchft/tests/test_torchft_checkpoint.py,sha256=K886HetZStRa1NcKdlmj-wFLBZgs2W4-V2rx2JBdoXM,16706
torchtitan/experiments/transformers_modeling_backend/__init__.py,sha256=8oiV7N0PX4Ds5Uisxeu8WwqnywLe3Gpja_d0EMV2o-A,5728
torchtitan/experiments/transformers_modeling_backend/config_registry.py,sha256=UzICQmYAb813WoVzFRttx6uR3GsQmXQ_2zzVXVGlzpg,10880
torchtitan/experiments/transformers_modeling_backend/hf_sharding.py,sha256=cqtMdOs-jxK-lqJE_0u3zDI9Buk4fg9MsrQUfB5nggY,21019
torchtitan/experiments/transformers_modeling_backend/model.py,sha256=NjT9-JvP1SHy4SFUGPzP1U0-DcUuoQLD-3g3799ZD2Y,66029
torchtitan/experiments/transformers_modeling_backend/module_conversion.py,sha256=nlM-Qn8n1qUhPxvw85eWYxf00OY388vkxdiJ0VmsC-Y,2566
torchtitan/experiments/transformers_modeling_backend/moe_replacement.py,sha256=sos5R-UfyeefIOvrrkuDPI8LNwV-5uyhGNRd-eq8aNA,23253
torchtitan/experiments/transformers_modeling_backend/parallelize.py,sha256=JRW9cN_XlYqmAqF4iahwd9ncHdf_MZD5o3B9pb-cqkE,15487
torchtitan/experiments/transformers_modeling_backend/pipeline.py,sha256=UNXXx7Cg68D0sYOwBZ3HZe3yb0dYZugELmY1tIDrqn8,17099
torchtitan/experiments/transformers_modeling_backend/state_dict_adapter.py,sha256=YBFROiLfZPz92RyFO3IucpRQn4AUoTkIyPxEn_r2B6U,11113
torchtitan/experiments/transformers_modeling_backend/tokenizer.py,sha256=hQemz2xKShvfnUNA9Py_ohKMGhnXPp495AiSbcSXD0Q,1579
torchtitan/experiments/transformers_modeling_backend/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/transformers_modeling_backend/tests/cp_pp_numerical.py,sha256=opjvSUNntyYzdFNf6tLxJ7bJUd6ZHF5h3ApcaJAn0ks,7188
torchtitan/experiments/transformers_modeling_backend/tests/integration_tests.py,sha256=JBIlCdiLccw0lT6_nCSSDmEK-7ORVvuOFYFyyC2xLpE,2657
torchtitan/experiments/transformers_modeling_backend/tests/test_flex_attention.py,sha256=bwInp3AcIxBGSpIaYUxaUYOvxkOlfg5k75z7r8YICO4,4421
torchtitan/experiments/transformers_modeling_backend/tests/test_flex_cp_numerical.py,sha256=JRPfkwesgNnuIggZLNqTk647XSErjd9MTYL6NdrG6KI,7976
torchtitan/experiments/transformers_modeling_backend/tests/test_hf_build_forward_inputs.py,sha256=FRCXhMe9Ux-00fiVgkh9dZfFhII_NqDigv_ZcN2FH_s,3900
torchtitan/experiments/transformers_modeling_backend/tests/test_hf_sharding.py,sha256=Z2enevZIZ30oUaYtDAyzYSsWnvIg3j1uDQv5d8qXiiY,1133
torchtitan/experiments/transformers_modeling_backend/tests/test_moe_parallelism.py,sha256=74oZtE1Xr9RzdnC1NhXKyEybd0lMlQriWqoaHHCyO74,21624
torchtitan/hf_datasets/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/hf_datasets/text_datasets.py,sha256=v5G1laUkniVSMosnYlbQLRu3YjBRQEQRiqt_EsW0LYM,10157
torchtitan/hf_datasets/multimodal/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/hf_datasets/multimodal/mm_collator.py,sha256=i8O1zO9uQCiEy36HbG7y-h5EjKHhLFKrJYTLgYOjBCw,14965
torchtitan/hf_datasets/multimodal/mm_datasets.py,sha256=JEihuSFptwwCTxIOzUOOwC3neY71wb3GpGWUCHKSKq0,18421
torchtitan/hf_datasets/multimodal/utils/image.py,sha256=92oqPyvhE2-j8nd0MuX4N71BjfLBGRCRau1xaaMvZ4Q,14452
torchtitan/hf_datasets/multimodal/utils/text.py,sha256=28YrTuBDK5_SuR1-OMFwwDqYAxkI_CRZjIYI9r2E2JM,3643
torchtitan/hf_datasets/multimodal/utils/video.py,sha256=um1V2Z5WdMALZwcaWXjMVk9_3L_oGFItbujGdKAhpWY,5094
torchtitan/models/__init__.py,sha256=e18uX245A6197tpo6wQVt3zlwgAU2QgBeucidP8Iask,491
torchtitan/models/utils.py,sha256=9VoqsieuhRhMjtDAhbXQRHkIlV7GeivQzlRj9f4dW1c,21470
torchtitan/models/common/__init__.py,sha256=8Eji283PwLmgT4qV2hWwqMuD7rL5xbNbKM2DoWVywA0,2325
torchtitan/models/common/activation.py,sha256=bHLILzL1ZC7R71Y_YHhiyPIYRgfL15sV6fNnAc1PxRo,3726
torchtitan/models/common/attention.py,sha256=EK9AVjCCCMKcmkyzq0RuyWica0eYPB5tAlY1ne9kh8Y,32978
torchtitan/models/common/aux_loss.py,sha256=1jlB9zpUMZV9S8vBFnI_9dKq1p7oofKIum6YMuJMozc,12965
torchtitan/models/common/config_utils.py,sha256=FyuJgiDjt7PoTvsQHnRfZBSaj8IhFmMYn2JJHgKJ5Ys,16742
torchtitan/models/common/cp_attention.py,sha256=ViVVeMi6Lrv4frEkDim5r21za9fhNsRQqsve3SMrLEM,5988
torchtitan/models/common/decoder.py,sha256=6wvZiCBUIENtuOMK6oQJx5MsbmY3rMRxQaWLzI854Y4,17196
torchtitan/models/common/decoder_sharding.py,sha256=j_dkcHrba4TSTRH9vjkuTjrUHIwJFAFUGZR68F4exmM,13997
torchtitan/models/common/dist_gemm.py,sha256=8-5gr4bZYfnv07lKQ2MA-4eAkj1LutjMNfH1itNoLaE,14589
torchtitan/models/common/embedding.py,sha256=ffVRNzIYv_8NFLh0dDn9KmROEOBxXKWzHpPOSma6ZYA,2430
torchtitan/models/common/feed_forward.py,sha256=_d2vs4Rdm08shIXlE2pFXzGRp_eyUZRhU-w3bdwIqjY,3505
torchtitan/models/common/linear.py,sha256=21qccyczvURpaCQBKt4xa5fh_vmM89FVslJbhT5CeFg,8621
torchtitan/models/common/lora.py,sha256=IeZAaHMTflHXziQyKyphCNeAx_Sx-u5uxzKCE6SnRPU,4633
torchtitan/models/common/moe.py,sha256=3PoEqr-g41FdqC3Ie0zVpjVpa-MdB4dY1Mi3zHGoAZ8,30231
torchtitan/models/common/moe_sharding.py,sha256=9BFTbH4XNQtjYpLjVFI7aWuMt5tNqOxtin8a20BsQh4,13150
torchtitan/models/common/multimodal.py,sha256=QTrw3TkiMlOdTXHPBG0w3VfNoVG6HYPB3Us6X_gjUFI,9054
torchtitan/models/common/nn_modules.py,sha256=851nJpQA-zHEtZmpF-alGe_q3Abu7TryBKJE1axqsFY,4379
torchtitan/models/common/param_init.py,sha256=yzgz1_d-qx1VzrllxGqyHKa6zMfOhu3GluAYp9hrt64,1009
torchtitan/models/common/rope.py,sha256=dKb5xg9Ebf20cAepUXFOTdB5n3qHoJFDtnVD0yUS8oU,13465
torchtitan/models/common/token_dispatcher.py,sha256=mBY6jmjnsBNuHA-DfnsuDotc7ReJurjRpnWp5oSYgwo,40054
torchtitan/models/common/vision_encoder.py,sha256=-1EkFtYSOQZoi2Nqgju492lzhevH5Gf1uMD5Ov23vyc,7331
torchtitan/models/common/vision_encoder_sharding.py,sha256=1CnkCbRVnvKfEWOrQCbcxQa6DT-Ez3WQDUfTsdDD3GQ,8182
torchtitan/models/deepseek_v3/__init__.py,sha256=-4-H099DKpc5BazqEzDJHq49tuUYcO5wHw9BDrFx6Tk,22088
torchtitan/models/deepseek_v3/config_registry.py,sha256=I6HacCrmuG3ugtrhfe2ySIiYWGhWH2VA1DcozLkB9t0,9748
torchtitan/models/deepseek_v3/model.py,sha256=Y9rzcmah-kfKuk6b6Lu8xD6VhiDm2OQMawuixN0VYZA,9649
torchtitan/models/deepseek_v3/moe.py,sha256=7icKIGza-WWg7nd8M8j5lMW4KwN_shSKwF_iF7iOTXQ,2967
torchtitan/models/deepseek_v3/mtp.py,sha256=1lCucIStQZ81a2-F4udWMTK86LTqVEcjrWFRUW8DXWU,20298
torchtitan/models/deepseek_v3/sharding.py,sha256=Mpscx2fkzX1tE9zPP4H_7q4fSn090Oy98OoMRrqKo-A,6131
torchtitan/models/deepseek_v3/state_dict_adapter.py,sha256=XP9iyjGz-8SRpUi8G8OPX7W_h_l7rWZTG3IYAxbsOuE,12623
torchtitan/models/deepseek_v4/__init__.py,sha256=ycOotTiMrUX9xL9uSWQqyXlw-t1BSev5MofeZVKWwR8,30504
torchtitan/models/deepseek_v4/attention.py,sha256=jn-JDe_mz3i9WPV2Ke9hX2e7XSG2a8Aa0_SnmaedQ6s,17727
torchtitan/models/deepseek_v4/compressor.py,sha256=ftUCv3TDx1S4Khf75Cppai6yBfcCPvIm3oHgXNUIxZQ,7160
torchtitan/models/deepseek_v4/config_registry.py,sha256=4pATBI1tqM-rCiXfSjKAM7_4JtqZOHus8e2OY3JpzuM,6308
torchtitan/models/deepseek_v4/mhc.py,sha256=TEL_Y7mkUAh1lcBXIaoQ2TSUzGjs7YJczFHfoHDRF0g,6255
torchtitan/models/deepseek_v4/model.py,sha256=3MiINVpLG-1ulpovm3l1bW7ADoWmMjJdBaAJHuS0rt0,13464
torchtitan/models/deepseek_v4/moe.py,sha256=smwlMekCDxU2oRDloc9v5tzWsQmE1VZ2Cj8x9oF04iQ,3003
torchtitan/models/deepseek_v4/mtp.py,sha256=mLQz5GwIKfVy5aB3RqH-nbA9DnmIXu9QhkI2IR5HG4o,2908
torchtitan/models/deepseek_v4/sharding.py,sha256=jxai1mYgBWE8rGgYjx3FPKW0me2i27xEeHLslDWU4UA,12309
torchtitan/models/deepseek_v4/state_dict_adapter.py,sha256=M5JXjDy0uVO-Ku1tkWMiNzqr5vF47pt8zv5Rg4-G4jk,10987
torchtitan/models/flux/__init__.py,sha256=NBweXN6xRXukybfAdy_ZLzOAaktfulKqKaMyMAhQeZU,17081
torchtitan/models/flux/config_registry.py,sha256=gTQaRzHnwZ8Pz5KgHSAWR2ovVGYKeunZjYJRA9BxG6I,8684
torchtitan/models/flux/configs.py,sha256=CR4aGBfx96R-ol-M2vwCepjafHlhzqFFWpwSbKOfYJ4,2837
torchtitan/models/flux/flux_datasets.py,sha256=ve5ZQGLZ-pXne9KvyTrj7SfTEyT5b_PkC7st1B2vC6k,11570
torchtitan/models/flux/sharding.py,sha256=godYamRSPkw0ogqiG5iZYFcAcNBtiEKJ2GWVDL4Cnzk,2561
torchtitan/models/flux/tokenizer.py,sha256=zuuHdpxRC_al2HfA_H8Qj3VIYISs-0NsKboNNJm7w8w,7303
torchtitan/models/flux/trainer.py,sha256=1X3IoZclj56Sa7zou1_A5rMn0BubBcnFzSyOYyUGiKI,6374
torchtitan/models/flux/utils.py,sha256=wo9fhcy6vDP_lkHgmIvnCWmIrUD9QlaQfXA00Id60_Q,5969
torchtitan/models/flux/validate.py,sha256=5hcLLxzqCpoEgf6HTuTacm8HjDK6dLVst94LIkmLjaY,12844
torchtitan/models/flux/inference/infer.py,sha256=4hL9KInPtjMcS18dS9CL4UjppJvgGIIoAPPlNDR1yYo,4126
torchtitan/models/flux/inference/sampling.py,sha256=K_bko4UwfPh0yeW-RxfEA4t_r4C1CXT6un-pWDvVVYI,8322
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=o-QriSP30ybLOG-lp4zjcssZIfxkchmSkg1fs8h6k54,13965
torchtitan/models/flux/model/model.py,sha256=QBI0NeZhN4M6hZin1KNFZ8CtLySD-wBbnqNE3Z5vkgc,15159
torchtitan/models/flux/model/state_dict_adapter.py,sha256=OQwENnqAlAOgCmNk_BmK7vf4hwtqXbGtXAAc7XeSY60,14222
torchtitan/models/gpt_oss/__init__.py,sha256=x0BP_sJQ72bNI1zSiQo-qV8PoTdmWxycu6_3081ogPY,11674
torchtitan/models/gpt_oss/config_registry.py,sha256=s-bDLsZ-ryBezfmibq65ll2XXQnYhUjyELSZ3F9t7-k,4988
torchtitan/models/gpt_oss/model.py,sha256=tc0qS5tpbTVhuqSSaVrPJihrZUrou8oQs3LY_5eo1qc,12721
torchtitan/models/gpt_oss/moe.py,sha256=AkEOaEs4qrhDQyGtBrdPin4t1LnQnD78QWYQlF3pH7o,4459
torchtitan/models/gpt_oss/sharding.py,sha256=tE7BFUCcbct2Vmxhb6r5aOlKGIMy7lF-T2O_l01aIuc,4457
torchtitan/models/gpt_oss/state_dict_adapter.py,sha256=HhccfOGr1QBDbb2a4RdEXBKyYIdhI8v32vSzWQhlBr8,7346
torchtitan/models/kimi_k2_7/__init__.py,sha256=Ws4BIX7XCiG8evxc1gQaetRJCB3m-S6ngQV6DDwSA90,15551
torchtitan/models/kimi_k2_7/config_registry.py,sha256=3SF7UHMXXe9ElYh3APT1lp5QJSA-4KBOFQG7VyR6dDw,19838
torchtitan/models/kimi_k2_7/model.py,sha256=jgyCn48oZLHv0k0h0KOSStXzfBrMyWcdlL76BRr3K4I,12544
torchtitan/models/kimi_k2_7/qk_clip.py,sha256=XdtoMbWKwRe5FduIqqqJscApZ6oC9ge8kuvDAJHOqk0,7080
torchtitan/models/kimi_k2_7/sharding.py,sha256=Dk-yrl_mVOnBB_Eyk2BzaJw9KdwH_NQKHneS7cFuY7c,5217
torchtitan/models/kimi_k2_7/state_dict_adapter.py,sha256=Y_UOjSeTxg4r5tP5ienvRy801dgiwJHWQ1uIuoToVG0,11506
torchtitan/models/kimi_k2_7/vision_encoder.py,sha256=u455vEO_aKaDx_yPhGLZrTYm6AGVnfE07B5i7nGiWXI,18988
torchtitan/models/kimi_k3/__init__.py,sha256=UVAR93YfATbOUqH2-zRziWlge_TNTEBGWy3Ja3TyCI0,17669
torchtitan/models/kimi_k3/config_registry.py,sha256=Bg1GJZS0SxdTfyeDzE0IkEPykAlgr3TuzHIEXTyDNkE,12492
torchtitan/models/kimi_k3/kda.py,sha256=lkiY3BIV8MFQUwoJg1nEdpdZLKsgUtv_sTZg5ihpvNQ,9295
torchtitan/models/kimi_k3/model.py,sha256=bqBgscRTiUQWDEqYjXnYraqS6EZ3G26Sk9lZ_24cvog,21888
torchtitan/models/kimi_k3/moe.py,sha256=OZSKmy8VZDiSCxnoRVSOqggKo5EOIRA0V6chJHWvBwk,2720
torchtitan/models/kimi_k3/sharding.py,sha256=VQPB3gTvY7y0DWllf0kOOidND7HnvajpR-DoqpXd-UY,10905
torchtitan/models/kimi_k3/state_dict_adapter.py,sha256=G3NWyC6TxBig7qTu_dM1LGjUrQk9t3aN-odPqxk1h6s,18805
torchtitan/models/kimi_k3/vision_encoder.py,sha256=eP7jQYk8yLPLWdB6SqfxyXrMyHGFs9J04cI0yo8zF4I,1892
torchtitan/models/llama3/__init__.py,sha256=4yAgD8yrud11pYRVld2CVsEQ-zAWtmlH_gUiCqWLSHI,11998
torchtitan/models/llama3/config_registry.py,sha256=bPNlsE9X8InCj4Pca1LhMtYPPi1dW9lNPuaGkFffyV0,15644
torchtitan/models/llama3/model.py,sha256=gOosWDcnCooepxcLN6iaDRPZNiKPnPillh25l9_B3zk,3433
torchtitan/models/llama3/sharding.py,sha256=giItinBtUVaRKCMy0TtCU2FoyHN5pMYQ1H--ELAW8x4,2470
torchtitan/models/llama3/state_dict_adapter.py,sha256=BL3yq8EOunVJFQ-8CkPtEDURU5tQ2KIEhn9LKqrmcO0,6571
torchtitan/models/muse_glimmer/__init__.py,sha256=bNEUC1kzfkxLjbS9OuJpLCRfnLdZ-6D1-w7wf9b_NGY,18319
torchtitan/models/muse_glimmer/config_registry.py,sha256=gsDqpitxiZG5ZcqUmdt5N3WU23UWp65rvk-3oGIZ8Y4,10632
torchtitan/models/muse_glimmer/model.py,sha256=hcHl6S-ovKEsB8Pj-ndIPQGn6GhV2ULFeDA0uJfO7mY,26020
torchtitan/models/muse_glimmer/sharding.py,sha256=_gr-G6BG-vlBKzockD9jo5blDQL7MEY6L2qQEjhirvc,10062
torchtitan/models/muse_glimmer/state_dict_adapter.py,sha256=zaKWBSqTl7JzoEJIbJgpx0Td9qKCp1gIuaIaluevpj0,15025
torchtitan/models/muse_glimmer/vision_encoder.py,sha256=-XUUP3snRA3cd22ItHgeShHKLfsKFHCkQfgcrqRrukM,21409
torchtitan/models/qwen3/__init__.py,sha256=kzaufayPsuozfoZODESonl1iUEz850KFVFh7AH9WB74,17651
torchtitan/models/qwen3/config_registry.py,sha256=DvmZTAgoP0Q9l_LEaYYrmfvfRs90vG8vdXa6Kh-551o,18188
torchtitan/models/qwen3/model.py,sha256=sWfIwV1YXoeaWYRjPgxoMGGm1FoJv_Z_vB0ybgLwaGI,4045
torchtitan/models/qwen3/sharding.py,sha256=s6Xr3IfI27XRvoMV6RcOqhEi7hKaeMUiaBYKcDerIG8,3568
torchtitan/models/qwen3/state_dict_adapter.py,sha256=F_ERrU09f_4xRgZ3WPe13VB_5ZaQi9qtMoWR89Cagus,9621
torchtitan/models/qwen3_5/__init__.py,sha256=R1QyxRejv6zmaLBL1i_3F5vrmx_Js_4HwHdtUp6BZs4,33943
torchtitan/models/qwen3_5/config_registry.py,sha256=4oc7KwubszCmG0ltludINbxfsE_kzp6qtVSXGE6WKho,14965
torchtitan/models/qwen3_5/gdn.py,sha256=m_7ff4i7epDfaBEL_Vq-YAUDqPIBom0PIn3kVg4wu_Q,13849
torchtitan/models/qwen3_5/model.py,sha256=xwIUC4AcX1zbwbJFb2MU9i_HqLspWJgEg4Vwat5lgBM,26778
torchtitan/models/qwen3_5/rope.py,sha256=B5JMDJ_GA1J-bcERjWJprDr7NOlE9pA4zRMThllBZUg,4238
torchtitan/models/qwen3_5/sharding.py,sha256=J6ufvX_S8WzXXsxmq6WIDTf7iO1Y_1W0mh_WhISEI48,15216
torchtitan/models/qwen3_5/state_dict_adapter.py,sha256=0Dg4fZLPAniUUCSJQv2Mn12qxRmlO5TSnjOGtFYp6Ps,19395
torchtitan/models/qwen3_5/vision_encoder.py,sha256=hPveUzPUahCEHJqhyZr9e8hF7dWvT25RUkivuBWFQrQ,16016
torchtitan/models/qwen3_6/__init__.py,sha256=hSJrpEzOme4oCNWPk7HBtOrkDypEA4tOj49VlCFoV7A,1789
torchtitan/models/qwen3_6/config_registry.py,sha256=wZc354WZehMDemztoWNa_txHTjPjxDqNIhRbJQUpsCA,7401
torchtitan/models/qwen3_8/__init__.py,sha256=PH4zeegn0si-sw8iir4IlELPI9DjFtGfu9u7kaPg39E,3549
torchtitan/models/qwen3_8/config_registry.py,sha256=Tzb-CKGNirukrMwONvySadvpXN0GAKJDD9_IYOZRBH4,7408
torchtitan/observability/__init__.py,sha256=m57p5-PlTbq1WB1Dw1W22MhgwM1QChQGFYLp15Demmc,278
torchtitan/observability/logging.py,sha256=ZRv9xcaHpzKpTXrjsL-MDjhGtT5X_it0ag6y-U4vbsk,1599
torchtitan/observability/metrics.py,sha256=A5xbgJH9dyyGNIk0534dKlAmeU20j8YGjcNrHB83CQI,21601
torchtitan/observability/profiler.py,sha256=pMUKDjHra56aUu5UOTYis1CQrzYN2vg1u28AnZsA7lc,15014
torchtitan/observability/sdc_replayer.py,sha256=lluu5nGKH8ih4j8m_DV4_32Eprjj3RUiDZfrOT7BJ9Y,22439
torchtitan/observability/structured_logger/__init__.py,sha256=4kVN7iglPDSf5LEUnyP9gEWyE7eajBl36Xs1YQQ0wms,1219
torchtitan/observability/structured_logger/gantt_generator.py,sha256=eri_n66E1H99dSy48CxqUf3OJ241ExjxHIj7BT3u_S4,18021
torchtitan/observability/structured_logger/jsonl_handler.py,sha256=XIEOkmfJ33XkMr74Oxif5vb_-o1-D1W1Jp2PTaTfFiI,7415
torchtitan/observability/structured_logger/step_state.py,sha256=V6yi6BCQMHseue1b2oL6BKcRgSKdZlnt6LKYxzkk-pw,6678
torchtitan/observability/structured_logger/structured_logging.py,sha256=kViLdNX5-sMlls8MKKeUa6THpyPOO-xS2YSUA93nbMw,18818
torchtitan/ops/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/ops/scatter_add.py,sha256=vRS0OPllf689jGW2OFG9SNPHcIs32GZXo9751Z1Fm2E,1561
torchtitan/overrides/__init__.py,sha256=LffElYjdY5xcehVTIdQ1ZW2bBpxRnG5IgqCstrby5bc,742
torchtitan/overrides/fused_mla.py,sha256=zqGp2G2C_TPk2OHrSjGSlSThAubISZ5Fj9EGJ5n0pto,27619
torchtitan/overrides/fused_swiglu.py,sha256=JKyfAcxVfyeYBNfvyObu7XTpCqfmY0i51bgxHRZDKiw,14687
torchtitan/overrides/helion_rope.py,sha256=Pt37lCwFOVgGkC2LRnZCxWdAWKO08Xlm70RgbcWAgZg,40884
torchtitan/overrides/moe_token_dispatcher.py,sha256=vjBh-sIVdSh_fM69ntqurDyCQMPJWPOUetrhM4aOSZA,3211
torchtitan/overrides/offset_rmsnorm.py,sha256=kgBZ2tp1YqCoGM7-g_Cj1bvs8ySF1n3K7Bppltjbljc,10857
torchtitan/protocols/__init__.py,sha256=2_13i8Y5jWpU9xwjQa0JgKckVOW9ij8s4eazHt-qZx4,498
torchtitan/protocols/model.py,sha256=Uy-VK6XH-hkgP8zQnpOzZpw84rD9H-aycZ5I8_HCkRg,6323
torchtitan/protocols/module.py,sha256=C8eM6R6_hjltQKVSsNfZCWc8RkEWL0kSet6erRXrV2Y,23009
torchtitan/protocols/sharding.py,sha256=PNjxyfezAaL4dGTQX4f85W1OELvMDJPk2x7iBHle_FI,5492
torchtitan/protocols/state_dict_adapter.py,sha256=0PutxoXnvwyq6xPutg10HnuIXgUzsxwSq8FICzjEiZ8,13350
torchtitan/quantization/__init__.py,sha256=bQ-NEVDXYpDV18R3KETbBJi5E8Gwubu8SKCH9LsbTIo,430
torchtitan/quantization/_fsdp_tensor.py,sha256=z7tKQDcTkqESbaj3h42MPqGLzD7wQ0qruYZP7UzUVLA,26672
torchtitan/quantization/utils.py,sha256=kCOf65Zf5uwwoWgZHPWl3Uh1u9ofj7rRyO4cjbnE0Ww,3985
torchtitan/quantization/float8/__init__.py,sha256=GmvuOAgfbAOGdHjJ9_DTvOmccUSRbXTZQVeYS3tGN0g,788
torchtitan/quantization/float8/experts.py,sha256=r0HMZCzxybIsrHillt1sx-fxBgLMTkLT8G4uDfe4VWE,9839
torchtitan/quantization/float8/linear.py,sha256=_P0rbxATyvs2vdFH7D2y0QUMOzN7fTIyB6ooQUVTy70,12841
torchtitan/quantization/float8/tensor.py,sha256=W_gdr7-oOcaz2hKMShFkaPyjDAy3KL-JIkC1Y8kRsx0,8993
torchtitan/quantization/mxfp8/__init__.py,sha256=zPGQDYRPb2TZKLmIJbqWhfPLv3uo4V6IIVEPeAlYNzo,697
torchtitan/quantization/mxfp8/experts.py,sha256=fxjyr1c-FQw7iawGZh6ibU1o_QTB--xi39v5V54ncbc,2183
torchtitan/quantization/mxfp8/linear.py,sha256=nZK1PQEBpGGSkKJYyRtmcnJrNSrGiUKPlgXsFjKLm2o,18837
torchtitan/quantization/mxfp8/tensor.py,sha256=lBHw1Vwt-zjt10__3wEo8LGqH5FLfQjUy7rIMLSOHj4,4468
torchtitan/quantization/nvfp4/__init__.py,sha256=SX3LHe2khFfvAl87ZyCgwUwQrneHa6IjnuLixJK7Thk,689
torchtitan/quantization/nvfp4/linear.py,sha256=Kn0eDQp7GCvrKN0vTPn8DPtk56JjKjMez6F-15yNpYY,18169
torchtitan/quantization/nvfp4/tensor.py,sha256=QfCipxzhbWoPvO-1rAuB6Go0vS5S_sJ7QsN9QecsfhY,3524
torchtitan/quantization/nvfp4/utils.py,sha256=qWNKklM3wL4voCyKtvmXduViBo_XaVPGntmCclTvP08,954
torchtitan/rl/__init__.py,sha256=yeI-zfltJfybj99YIoKpsW0SnlAkC260zqX2XR-9niM,1511
torchtitan/rl/_runtime.py,sha256=YjxMFkaOuPCtmA7EO6XqTnOOHMeUS3zSHMq-Qj8-0f8,1362
torchtitan/rl/controller.py,sha256=2O0pxpWfzzh7jxALRxzuTw0BgywwJaMoTd3ySOGwqD0,55979
torchtitan/rl/generate.py,sha256=JH9kBuvnYt9ruoeY7pRXN34YuA2jm64QKG8KGJzFBSQ,9636
torchtitan/rl/generator.py,sha256=LcVf_E4gg0JBZ3tgZ6aMgclqQ4LW5zbHvz1iUkxlm_8,71336
torchtitan/rl/rubric.py,sha256=8jLkkYl6Wd6rzqT4El4TmxccOJ4UZvj7Plt4h7PEuJ8,6752
torchtitan/rl/train.py,sha256=mJBpHIbEr4GWC0dwUQseYZWYGFo3P9TKxMjLWvxGI4o,11698
torchtitan/rl/trainer.py,sha256=UF0bNphGRCmKdDgt_k2mS839i_pr6sMK__QgR6Ifu2c,15391
torchtitan/rl/types.py,sha256=e2CHK46yJrdJkJQNbtnnugJOP5i2NmwSd1Qz1QTo-C0,6261
torchtitan/rl/components/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/rl/components/batcher.py,sha256=pUEpxSxpdZbHOyPX7ZKEEFHczXvTBdKUyx2faOgZcEo,22860
torchtitan/rl/components/training_sample_builder.py,sha256=-ogt3rIDfxo-cKcVpbfo1ZI8a1sbPfEpo_OazHvOIk4,12758
torchtitan/rl/components/work_buffer.py,sha256=INol0bGttqaJYJYGTGFmSEpF45Ha0k9JSpkeTvM6AZg,12917
torchtitan/rl/distributed/__init__.py,sha256=ZyPCHWFsHgQe_sZmdnyhW4oXhjgGme1g1SoQ-e7JF6I,263
torchtitan/rl/distributed/parallelism.py,sha256=J22BAQPqAla1uWJohMifUx5SxxWXenAx6FdGpkTL-tE,1744
torchtitan/rl/distributed/weight_sync.py,sha256=Ylcmm3sI9GIqeCF2rluzR1WSu-8MdVP7Su0o_06g43M,5405
torchtitan/rl/distributed/actors/__init__.py,sha256=iE3U1kL455HqFbL1mkjX9GP-2p0EoJgiD9wBHLu9NtM,271
torchtitan/rl/distributed/actors/generator.py,sha256=dRzd2nl4Jh3NV2jsXja3cTgJ8NMp9pPgT97FMklBEBM,2515
torchtitan/rl/distributed/actors/rollout_worker.py,sha256=7xfy3_sUZOYP_qVawFJh4tP7YyS_o5Wuz8KVBPycdzA,2040
torchtitan/rl/distributed/actors/trainer.py,sha256=YXf7LfkR6Vqo5yVyWVJC6zSPJIEWsDFpgVVGYVt2IX8,1651
torchtitan/rl/distributed/routing/__init__.py,sha256=no97LgTudWdA6G2x3gJHuvSDzZe5ancvuxBGP6fpiug,926
torchtitan/rl/distributed/routing/inter_generator.py,sha256=jUPDFHKqHsSXDP13xY9qducCGKiqyJD7EXjbHECUrmU,11773
torchtitan/rl/distributed/routing/intra_generator.py,sha256=fVkF_Fx-WgeUaA935UF4eyIEFHXQys-1TCL3sChzjck,3819
torchtitan/rl/distributed/routing/strategies.py,sha256=o-Lhm35xz4AQC4eKhC_c149YJHt_2VPbny4G6GZvNbE,8046
torchtitan/rl/distributed/routing/types.py,sha256=VvXUFIN4Drp5cg5khHNGyDooPDP4pSb1MUPDvLyWpVE,1426
torchtitan/rl/examples/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/rl/examples/alphabet_sort/__init__.py,sha256=mtRwKhexmU0lvBmoxRQ7fxHmTLbs30yfDhwuqhh0XlQ,577
torchtitan/rl/examples/alphabet_sort/config_registry.py,sha256=sS_IxMiPM0tOr4uJ_ICRedpOzFB9XStvIuBDVHkP-MY,49313
torchtitan/rl/examples/alphabet_sort/data.py,sha256=wnlemOcooatGVd7nB8vrNO8WbulYLMDPRx6QqgNOYW8,6988
torchtitan/rl/examples/alphabet_sort/env.py,sha256=iCkByBSvnw9lwB-Paq0jHB4TK9lFWuYHMy7FTmnsFD4,3428
torchtitan/rl/examples/alphabet_sort/rubric.py,sha256=5Yavhy9LvSQ5qt2ajNkv2OIQPtxPHS0o_s8xXRBvU2I,4349
torchtitan/rl/examples/dapo_math/__init__.py,sha256=AiB824D-YjC1GwkrjNkeXRwDqW6dJWxhDW2mIJTesQs,642
torchtitan/rl/examples/dapo_math/config_registry.py,sha256=KLOB832c4TclmN7mhKc3h-Cvoi3_9sbgo0oxzvKd-EY,6912
torchtitan/rl/examples/dapo_math/data.py,sha256=lpuf9qkRNvdAeF_L4bZWQt6AZsr39Td6ZRLpcb7Su3Q,4892
torchtitan/rl/examples/dapo_math/env.py,sha256=dLI3r46GhWMO0epmODHNZ_tf9JAbAVKQAK1ytcp6ry4,1306
torchtitan/rl/examples/dapo_math/rubric.py,sha256=KtxfLlYLvIwopzx4OjUlvcxo0IGusyqdYdNhGe3pz84,3132
torchtitan/rl/examples/dapo_math/thread_timeout.py,sha256=_ESHyppc66NzySIsKhzo80gpCHL-AdI-ptjKqAimVvI,5537
torchtitan/rl/examples/search_r1/__init__.py,sha256=Cbp1-bfZrSPvCI5100HRs7h-RHy5oknaiNXoQVCUv9g,524
torchtitan/rl/examples/search_r1/config_registry.py,sha256=7T1cauaEcxCSr_eLelFWchtmF6cmbXOCJzl_7bjTCnQ,15468
torchtitan/rl/examples/search_r1/data.py,sha256=rpedCw6N616Xcefg9nSy4ZGxl_fiFgkD_RqCRPODAbI,4517
torchtitan/rl/examples/search_r1/env.py,sha256=12EnJtBalEotjQ6ANCFeudt5AcKLbIIfChBQrfB9AZg,6350
torchtitan/rl/examples/search_r1/rubric.py,sha256=21p2kIub6jXitv_FdEHnUU4RZCSJyztEer0Dt2lPEpQ,5040
torchtitan/rl/examples/verifiers/__init__.py,sha256=qEZvQLU0UZIBBbad4ooAEfCrh6sgachEuan4KrzgaJ4,824
torchtitan/rl/examples/verifiers/data.py,sha256=4cDxk8Ezrtl7L7LU-sruPuvfCKDsN9oqmChZU1H2XmA,4456
torchtitan/rl/examples/verifiers/env_server.py,sha256=SeCE7HzKMm12eq8djoaORpaPIYEBftWy_-LcDgWAR5Y,7081
torchtitan/rl/examples/verifiers/generation_server.py,sha256=o9FgbDLiF_41-qBO05AnHnjhxUiVc4-3xJM_9mZEdfo,11426
torchtitan/rl/examples/verifiers/rollouter.py,sha256=BYJcHMlXdF2-dQqNfwyDgWQr2uK4Gk1zXWKhVbOiXBk,17848
torchtitan/rl/examples/verifiers/dapo_math/__init__.py,sha256=7qzccLzZ6loSlMwR-qnu8a78wT8bqK8En3LCGOjm6s4,272
torchtitan/rl/examples/verifiers/dapo_math/config_registry.py,sha256=8SOOAfvWqZr8foNZRBmx9OXIac2sJtH7r6GsAbhIH0M,7413
torchtitan/rl/examples/verifiers/dapo_math/data.py,sha256=Qey7EUlqnAhAT6Eu0RfaODL8tIUYk7qsY8HIucSJWjc,2249
torchtitan/rl/losses/__init__.py,sha256=5iGs0uLFLAoqRMSehyv4z4-caS5FqU21bRj52tpB7bU,339
torchtitan/rl/losses/dapo.py,sha256=thZd21RLzIkJsJ0fYJVWmF9MYLSvNUzhY8lTe5ub1HI,6811
torchtitan/rl/losses/grpo.py,sha256=2UQQLtxej7SNdRgP3lmtceALtEUPYx1Ow0Oy_B1oLQ8,1172
torchtitan/rl/model/attention.py,sha256=Q302-0mbqwU2ZCd7QdEVF9UlhKN2OAuUx6B8j7_L93c,14859
torchtitan/rl/model/batch_invariance.py,sha256=_W28tGhpBI2gN52VID-EagS1tlxNLiRogyG24_Ydkt4,2833
torchtitan/rl/model/gdn.py,sha256=E8uxO7XzMsXo2syLCvAETj1Ass4ZmMfvEPJeaeAGRD0,14982
torchtitan/rl/model/gdn_backend.py,sha256=De7xwXNXWpYnZC4cHa6tkTjSQzQZ0b42YGaiGjnU5lE,6941
torchtitan/rl/model/vllm_registry.py,sha256=OuYNGPuCbv4vx4-QZbdCpd-hK9_vMIv2Aig4kCITKMs,12449
torchtitan/rl/model/vllm_worker.py,sha256=WNdXBv85PscmVI9BheOruZNXCA7KBuhNymqSVBhpooY,5560
torchtitan/rl/model/vllm_wrapper.py,sha256=k-7twic7rIJh0GTeO5t7Aq8wjXd0uUGMECzLHvkAfsc,25390
torchtitan/rl/model/muse_glimmer/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/rl/model/muse_glimmer/atem.py,sha256=6PR-b2E6YjMTs3WojKjJ61EoLVXUQK9yK3p8uQE-6Ls,3453
torchtitan/rl/model/muse_glimmer/renderer.py,sha256=V_1TdOGB24nZ6v3uY5NJVVJSGdNal3LwlvQoBERRgeM,32150
torchtitan/rl/observability/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/rl/observability/controller.py,sha256=_9iLK0uuQolFNQJS5YeGIwNLzzJFZ2oFs3D541lBkFI,11269
torchtitan/rl/observability/rollout_recorder.py,sha256=P2HvHQdWMGGaqzd2f2nQg8zuzcIDsw-aH_TJdWxgidQ,5982
torchtitan/rl/observability/vllm.py,sha256=bfK1i_I_pkX-TMha_UqUxJ5nr-5aolx9UG2gq_-pquI,15193
torchtitan/rl/observability/metrics/__init__.py,sha256=b375z3jZTRFp7PAL25QCosWEn16-4oe2TfMLDwvhzUk,666
torchtitan/rl/observability/metrics/console.py,sha256=cjBvfNsNom-03naJgbr7z0NYdE1ciRbRldddv43MN3E,4286
torchtitan/rl/observability/metrics/processor.py,sha256=9ESCcBoLoLkwHXV70d78ZhjpzIH2ea2cpBE5alToWbM,8753
torchtitan/rl/observability/metrics/types.py,sha256=YX9SN7kuIYdXGA4OaptGgYcy9AdXo6Aci9-WdAm8-vQ,12635
torchtitan/rl/rollout/__init__.py,sha256=lTX7m5L9qMcuYBnquris1X00rnj1q9Y-ClC-l9AnIAE,681
torchtitan/rl/rollout/advantage.py,sha256=5JqVRMNmBK0ULyiKz39pBYINEVKqXKSju2UZwko9VfA,1758
torchtitan/rl/rollout/rollouter.py,sha256=aheXVA_qMUDZR05GI5R_lHy0hwE1dD0h5Vw8b7ej0CY,18077
torchtitan/rl/rollout/types.py,sha256=PvMu8M1IXzI5XyobYLuCSgSxwUherH7DjaO4jMlmm_c,6447
torchtitan/rl/rollout/environment/__init__.py,sha256=bIssCy_mX3xiRdU5CYt-NfbaLamvjrzlv9iE_gd8eys,539
torchtitan/rl/rollout/environment/message.py,sha256=tWfJRQTY8phCmMY3DdcshVBMEgjRj7hwfypGtxyxK8g,4229
torchtitan/rl/rollout/environment/token.py,sha256=cgG0rzsUGSMEX5bbZHXZ14HhYGCH7YJ6WsREPhggpG4,12301
torchtitan/tools/filesystem.py,sha256=Pe45glw0hO9kTKvOTIljzXp6CrujXr0doeILHiFPYqc,3769
torchtitan/tools/utils.py,sha256=H5H9TpzrtB-kp5eLFnbifvhJtSxmdYBe4uPJArXuYNs,14162
torchtitan-0.1.0.dev20260923+cu134.dist-info/licenses/LICENSE,sha256=buowmVlBEmvuuZ73dfCWjtgyC-tINK0o1q5nBKGpKTA,1495
torchtitan_recipes/__init__.py,sha256=aKd4knqb30ZACzt1IaR9V4dnF8dRLo6oCxpynw-Pmms,251
torchtitan_recipes/muse_glimmer.py,sha256=vj6ksr0nv6SF_GzShL6zKgT0KNFel5gBshvrwFcI3RI,2856
torchtitan_recipes/tests/__init__.py,sha256=s-cOam6Ew86K54cbgpQUGN5CD7BcIMSxDHLkf0vx9qY,1109
torchtitan_recipes/tests/b200.py,sha256=VU-nCJrM9T2PBMqb7bC_F06C508YHIHLLUJFgPyboto,2141
torchtitan_recipes/tests/features.py,sha256=2gpwjbLv_CBHcyU0qAgM7mtz6EhNEPsFvKxx9XjLnBg,23185
torchtitan_recipes/tests/flux.py,sha256=mytrt1weLkOndu9edrS4pEYe_N76H8yiU2r89sd41fs,3303
torchtitan_recipes/tests/h100.py,sha256=_V5tfhnR9hc9qdVN-Kkc3040YZD4HKueCd0kxoHTcMU,3448
torchtitan_recipes/tests/models.py,sha256=k2Z0iMP8sbejHiTPVMNCCpniXzUqRUwg9e-SZoKHxlY,18632
torchtitan_recipes/tests/transformers_modeling_backend.py,sha256=CV7nTX8wDuQBIzoGuEThZwEXLv8DHZqeyOGRb7BmXW4,2389
torchtitan-0.1.0.dev20260923+cu134.dist-info/METADATA,sha256=qABKjVvgU3fdAweskYkSHATkzsvAHaYgCP3SMyWwLTw,15262
torchtitan-0.1.0.dev20260923+cu134.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
torchtitan-0.1.0.dev20260923+cu134.dist-info/top_level.txt,sha256=euT9ZoV3pnyOwvvf__P_Gkym86EkpCLH00zEAB9VdX4,30
torchtitan-0.1.0.dev20260923+cu134.dist-info/RECORD,,
