torchtitan/__init__.py,sha256=nzOhmu5Yrk9rG40uYR1QIEXN37zXlHkQ0mct3iJRMVw,386
torchtitan/train.py,sha256=TDr27Hze9OuZJT7Bi1lLzrRIbLDX2h9PjxZ78L7Urvg,2036
torchtitan/trainer.py,sha256=3qX0wMg0lOOcqHv8k7B-El9Xtt8xr5gC1ftCnMjVsBE,25085
torchtitan/training_engine.py,sha256=7L5yrzzfTrqdgJPrB8YXiyBGBj6H5XTtDUP1hhq5gqs,41751
torchtitan/components/loss.py,sha256=qNAw5DsiLpEEpUOSAwlHhLLWq9bOWaQoNep6kFiZjLs,41744
torchtitan/components/renderer.py,sha256=KrSejdJLaRiuBFr2ZkcLyQ6uY9D4i7pvrROFkwo_d3Q,9846
torchtitan/components/tokenizer.py,sha256=UzBZJt9WvkyRqyx2Apl86-fe4L0_EkRiPDDlPBRTS3k,23422
torchtitan/components/validator.py,sha256=B4p13zDZ7aH_W7XKCLjObhtGI13s-qL3oE2KMjBXoSA,18374
torchtitan/components/checkpointer/__init__.py,sha256=sk7frihpfcWbS7DVx2SO1NfLfhIWfG41DqhebMzB7sU,708
torchtitan/components/checkpointer/base.py,sha256=K9UgSQFpyT2MSj0acAVKlv-xCC22fKto8AfSGiQro40,30425
torchtitan/components/checkpointer/dcp.py,sha256=JmEo4TSVCFeZC9lpiXMiE5fz7jSHAGR3Qfw10dWOHPM,25847
torchtitan/components/checkpointer/torch_checkpointing.py,sha256=BFOJPLf3-YvcyC9r7wOuxvQi5VZe-hJwYqWLyQPiRnU,24489
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=Zf5Fgv25Z9wlIImBQ4Cub7cGByeUOXR45yuXzCSw8QA,4601
torchtitan/components/data/dataset.py,sha256=Jqo1sNBb1hINPNieM8jLed0wn9rXiHkzmS5iPmV2wCc,11822
torchtitan/components/data/loader.py,sha256=_QTMmNQGGfth3BohTCnoPmMlepTvxPXZJn1iU0y5cpM,7686
torchtitan/components/data/packing.py,sha256=hsVU4mKh8tISKpY1Ab27zKhxanxhppBr0RJPIMwZ1v8,16049
torchtitan/components/data/sources.py,sha256=zCdonZt651nl_nYD-IMLjLpH-hjUWDBUHuSlui3CY-M,10031
torchtitan/components/data/text_datasets.py,sha256=xzrKyDHumWduAGXziFiPrq7I98pnoJUDrWHE79lEn3A,10560
torchtitan/components/data/types.py,sha256=S6JIWbqwN2V-tnTjuysCJC-euZtij69R4U9dZcHk2o4,3626
torchtitan/components/data/multimodal/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/components/data/multimodal/mm_collator.py,sha256=vSDG5tSd-oFg4SVY1nkEStsj-oqa4sxCKMQAM9B7Urw,15583
torchtitan/components/data/multimodal/mm_datasets.py,sha256=LJElyNhGjprI34XnyaAVmKQMTNl8JO3r7KmaO_eAYcM,24385
torchtitan/components/data/multimodal/mrope.py,sha256=NY8kx9XF2OX8LMNC_oonua9SwkUmeupoNJIAnlssZpE,2945
torchtitan/components/data/multimodal/vision_processor.py,sha256=_v3Idf3vzWTnDkK_h5mmqTcXdRjbPjIjdeQfU27xTTA,20618
torchtitan/components/data/multimodal/utils/audio.py,sha256=OhcUN5KArl2iaXeF_NcF2oGkPtLBxsfuyyAwq1kV0U0,3392
torchtitan/components/data/multimodal/utils/text.py,sha256=I4UUOQO3ZSrKUXyvQwyQqnRzPccvqa3QvNbUaHUYn5E,5066
torchtitan/components/optim/__init__.py,sha256=KVXq7mb64UkvoBy_qYP1n7QHthdtvbMgwLOReUZGQJw,581
torchtitan/components/optim/ema.py,sha256=aX3tXQEbZcuHuaPIig_tmiFd2srTejpA0aPET6DblbA,28930
torchtitan/components/optim/lr_scheduler.py,sha256=dUHTS7TnfxJHntPZXJmf2v2_V92bD-r1q3FVXLUlw_Q,13284
torchtitan/components/optim/optim.py,sha256=uTu1kP98fuwtG9nCZorWaL877h6UT75rDgQVskdOFUs,7709
torchtitan/components/optim/optimizer.py,sha256=bH0XzLiQ_KTG453zU-of_xYOBNMaJekJp-JryMKdGzU,19654
torchtitan/components/optim/utils.py,sha256=a81kv69eR_6Nj42tLHBhLWVR4yomJKDxmtxJbupJ_Vs,9782
torchtitan/config/__init__.py,sha256=1SY_aMccIhiqOlT01C7suDZ1ulhn7I9j0W_QHgqzBNQ,1029
torchtitan/config/configs.py,sha256=s1x0w5IbUcZR9vIGM9LzgpP1sC0dRa97FVvShQVKcgc,9286
torchtitan/config/configurable.py,sha256=gAZoHTfdAmqqMKfcQHeQ6Us7Mjl7J0krB-f4OT1xeMU,8381
torchtitan/config/function.py,sha256=8742e7_lN1I5-GwlhXP654hyab2YbjybcCNiNKxuU7o,1419
torchtitan/config/loader.py,sha256=gJ6FLn8lEZdIxqsnvp6rB1DxKfTomZNRFnaBKdEt8ek,7513
torchtitan/config/override.py,sha256=2BQHNYXuGfNAoasmZpCQFjHZye6h9MhGHiQeQJh1-sE,20758
torchtitan/config/parallelism.py,sha256=zjkxUSG7zt045YTuodOdRS8H2wSlIM_YyYiqcmAynY0,12910
torchtitan/config/validation.py,sha256=lTSq5gkwD-ArnKoDOc-IeKGmXmDWW9QCwydb0sCfxUc,9381
torchtitan/config/transform/__init__.py,sha256=29LtWDG2j3wKanJ_T56Un6XEFGZMMZZWaUqaC-mzTEw,1686
torchtitan/config/transform/apply.py,sha256=NYHDWWS8yB_xzYsCFpoXoVQvaK_D6Pe3g911NOi_R5w,4223
torchtitan/config/transform/async_tensor_parallel.py,sha256=3ico-DbC3XKFxB94cKv4kbpDh4uH-zvrR393gUayKYE,3979
torchtitan/config/transform/base.py,sha256=9AqSFvRLqbW0bKc8f-5L5RZP3tuWLydG2cEIIt-YCOM,2022
torchtitan/config/transform/batch_invariance.py,sha256=8SDUNtbD5n-Jt7LQycO7DE3iaYlNmsTxsFG-8jfwhW0,1337
torchtitan/config/transform/context_parallel.py,sha256=CggqzFb5sxZkFYtG4Wn_vlugFMX6XEpm-jELYTo4EOo,4313
torchtitan/config/transform/converter.py,sha256=hDdsuKOwgwyiyPW9nJzEjEVq3lmFWu2hE3Gt9es18rc,1939
torchtitan/config/transform/disable_moe_load_balancing.py,sha256=bMhnhtN1Nk7TKw-JTzVkmgF-eC9B-oFYJRbAi7dykE4,1102
torchtitan/config/transform/dist_moe.py,sha256=Xnc_CJ4b599a0tmbU0Kn7tIZgcGWBSkC_p6-bC1OVLA,7327
torchtitan/config/transform/lm_head_fp32.py,sha256=hYRS9VYWIDX2tR0sTy9wDX7rPeIc-4t5Zpb-gMr9JHI,3126
torchtitan/config/transform/lora.py,sha256=ZcMHAnn4owvbiR0-pi__lTiK-70CuGjwB2m8_uR8bVg,15186
torchtitan/config/transform/quantization.py,sha256=P3sDLVaAtikqwXhBl2W0PKZSwgucoQMR1ZP2KrNe7tA,16627
torchtitan/config/transform/relations.py,sha256=l_w-TRzZraSnHDFHc14sJu4nqxSqsEU3sjRby34VjJ0,3132
torchtitan/config/transform/token_dispatcher.py,sha256=uY8eL3rIpT1lvi3V0jKjQipw4nPkQEzYkHpYFw-hWM0,3088
torchtitan/distributed/__init__.py,sha256=jOJghg4r4xHg-VMxE0zfOjMpDrh_0yoY8DcauCmW0N0,488
torchtitan/distributed/accelerator_graph.py,sha256=3sUAynDfgsjIOItB5JlwzZ273SocKHIXxHg4J7V26dU,29534
torchtitan/distributed/activation_remat.py,sha256=TpNWBeKfkErVxb7xA24mUCH0LDNKehfG0BCDBA3_xac,8617
torchtitan/distributed/batch_invariant.py,sha256=4OrlONGecbfBwVvJZ8DHns5ikNEUuhaxkRRaJ70qU4M,5753
torchtitan/distributed/context_parallel.py,sha256=xRe1TlrVCWPwkPx08TcBDAp_7oEBafC4Vq3dqcl1rMY,13650
torchtitan/distributed/fsdp.py,sha256=pm49HYLtHHkrz6KzBw82vLL5fLgJ4dHI5bITdoIydE0,26818
torchtitan/distributed/fsdp_lifecycle.py,sha256=W29muLzEmmoM-tyqZwYYpAZYBgf9XhWmd6nFAECmCbk,6043
torchtitan/distributed/local_compile.py,sha256=pdKpKG_lP0n-MejbOnRvQQRH4dt88zKhOOf3SVmXHP0,6357
torchtitan/distributed/offloading.py,sha256=ldQSiViLhTzdwwrXUZLE5Yf36d48Ac_rw_vJnRzhZIU,1555
torchtitan/distributed/parallelism_context.py,sha256=TWzzxF1--209oTHOGylkTuaQT6BX3FT7zlgjythN-sU,24924
torchtitan/distributed/pipeline_parallel.py,sha256=EVgzxieq6u0cpH4f6GFRg7sjFqc41Vh_ptMfp0UH8T0,36954
torchtitan/distributed/spmd_types.py,sha256=mRjwWbkcj_tAmLm_BR1NgavKFjP4EykZKYi7Ay9nAbc,18241
torchtitan/distributed/utils.py,sha256=Gps_kFpbfFwvnZjzZSBDKuClSaevXZsS84TzgUm3RtY,29812
torchtitan/distributed/deepep/deepep.py,sha256=mCj6cKascHwfErnC3xGtbJwLY4w6WyW73xRU2sLzTDM,28935
torchtitan/distributed/deepep/hybridep.py,sha256=OatmODtSmJWvbhf_J0iNCR_ecWKaMGa9QJ8tjGDFwoA,21256
torchtitan/distributed/flex_shard/__init__.py,sha256=dMqVN3mj2tmYj0AmcY2kG7KrN8HtuLMVAf1qaX4xVWg,478
torchtitan/distributed/flex_shard/_optimizer_reshard_runtime.py,sha256=KaEwVJP1plBkA2wD4mh8VpKeuhD0P-1Moe9c6xdJI_w,29774
torchtitan/distributed/flex_shard/_optimizer_reshard_schedule.py,sha256=j0rTlWF6xybTifHNC5LRmstwOHUa43jbur1auvOrrdA,45535
torchtitan/distributed/flex_shard/dist_muon.py,sha256=w0kdSgIQyI1CnGOKssCFOHwPEEQlbkeNeNpH4PUK7E4,80285
torchtitan/distributed/flex_shard/optimizer_reshard.py,sha256=e1dkIoaaEMV2M8XDSAHiuJGVxAwOeXjeYXQat15aNms,12964
torchtitan/experiments/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
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=NgPLqyNUT2m-H0MbJsE_UH8fM5UN20Oythg8i_28xYg,23106
torchtitan/experiments/graph_trainer/compile.py,sha256=NRWLPthQXLROkaw2Vsy7tz3VhgtCjY4RB3uq-7vTIaI,2280
torchtitan/experiments/graph_trainer/configs.py,sha256=IljOleyKks9bWoATEvpvViYZtpfL11bGH90Mmy2g6Xw,16682
torchtitan/experiments/graph_trainer/cpu_offload.py,sha256=0O9icJYXufxPip-RzKOq6dJrZaG5q5_hDOkHAMnyWA8,29056
torchtitan/experiments/graph_trainer/cuda_graph.py,sha256=w2KYUmjZLb_2Aa62w5So5P0iPk2i_NgEE3VF8Z1xcEI,13992
torchtitan/experiments/graph_trainer/custom_codegen.py,sha256=aIdjL5LKpA747DFzU5zlJDwJDHHP6sE9ArHT7u55w6I,23427
torchtitan/experiments/graph_trainer/debug_utils.py,sha256=odNvbpFOUUh4QVckNXW6qZtmFxPmuJr-YaLG4lRhAcU,3957
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_eager_chunk.py,sha256=DVLl_ZtYpL1KL8nZDPl8mYhKYvAX-TKjATBEMNc4-24,17428
torchtitan/experiments/graph_trainer/ep_overlap_pass.py,sha256=n8rmwAwVWXWhRdNkfx6lxcmMFITXCow-lwMbfk8kiy0,35205
torchtitan/experiments/graph_trainer/ep_pass_utils.py,sha256=qJASXD4RJ4-l_QNIbKz6t1AwZG1tdeauWlh2TbglSIo,4443
torchtitan/experiments/graph_trainer/ep_process_group_pass.py,sha256=vhitK70EPFqRzKvMZ6rDjqJPNIA17B5i6dFAyObEhCs,5806
torchtitan/experiments/graph_trainer/fsdp_passes.py,sha256=28WrKjE3V2QpFsvNmMBDSvg3ytaRFFAwKZPldpTCNT0,68012
torchtitan/experiments/graph_trainer/fsdp_patterns.py,sha256=MNNFXEq_X5Um9UKHbHPXowzh9gQYpg3kzkBDrogcc6Y,19941
torchtitan/experiments/graph_trainer/grad_accumulation.py,sha256=FCDRJ__h_fIoGS9edAqk4l4w62qD7zbIMd5ei00x7Bc,15120
torchtitan/experiments/graph_trainer/graph_builder.py,sha256=6IMX848RKhktRR11rgYocnQzMXURCDcWDjAxMLXlRWU,12603
torchtitan/experiments/graph_trainer/graph_builder_utils.py,sha256=rWFEscswXcjhm52mdupNUSU40BlVqOaVEK_VIOsW5VY,12242
torchtitan/experiments/graph_trainer/inductor_passes.py,sha256=HGlWl7ZGWva4F5iSb27cMfK_DKXEcIZmaPh5F9CMpKo,15034
torchtitan/experiments/graph_trainer/log_activation_memory_policy.py,sha256=J3WwcIzWkuWZxA2phRmeOa8vJaJwkGUdWNBdCRyF2oU,11802
torchtitan/experiments/graph_trainer/make_fx_tracer.py,sha256=kQIjrmyXSiUE8TAQS9a_dt8vBschYZS94DiEn0-G094,28927
torchtitan/experiments/graph_trainer/memory_policy.py,sha256=Wf6RUIhqbiVBnX7aml4cCEX6jIpndYTXT-6Z9vpeqyc,24933
torchtitan/experiments/graph_trainer/model.py,sha256=UxSspEN_wgoFy4bbFpkj00wMAA0XUUycp0Pr1Mnhizc,2835
torchtitan/experiments/graph_trainer/mutation_utils.py,sha256=vHqWXixhVFtj6kbs9uX2p5kUdbyskFwfk8Mw7t1IyRw,5852
torchtitan/experiments/graph_trainer/paged_stash_kernels.py,sha256=eN90VwINbHG8achIidBetdYyIYam-gzS5P3Jcu52DxU,11371
torchtitan/experiments/graph_trainer/paged_stash_memory_policy.py,sha256=b1jmdQOIWGPxqojdDhofDdtF1hndQGXLlPpAb009Chk,147882
torchtitan/experiments/graph_trainer/passes.py,sha256=yuPq5hWzuNKLvJ__ytuTsobRxwowKJMJp97HhSXHa_c,23001
torchtitan/experiments/graph_trainer/performance_passes.py,sha256=XsAODapvBe9r25aLXEWsYV62MVy0MK-F70hDReoY3xA,2494
torchtitan/experiments/graph_trainer/precompile.py,sha256=KeWOKVCdd92g591o2QvVSnztcNeKEzZY4zTGrv_kqk0,13679
torchtitan/experiments/graph_trainer/precompile_main.py,sha256=z6RDmGSE0oazdvEvPsV5-Z0T2LrqslVoOFQeHEwmaFs,12965
torchtitan/experiments/graph_trainer/registry.py,sha256=-Anw8FROiQau4-mZLAvxsIGnowP5UnQ3Q5JxCvw5Hjc,2906
torchtitan/experiments/graph_trainer/remove_noop_passes.py,sha256=e6liJjJ8ApDeRkq74WXnr3eHA_7vXusW9pW89FZ_Tfw,15795
torchtitan/experiments/graph_trainer/selective_activation_remat.py,sha256=VHTXy9IeJ62u9Ta-1mzv1igmbCj9AHw1_9bIT0XKV0Q,17910
torchtitan/experiments/graph_trainer/simple_fsdp.py,sha256=NlqTWOLDzN0dI_5_C2XLGXLyh9iWTvPFjjj4vInEkVI,24964
torchtitan/experiments/graph_trainer/spmd_gradient_accumulation_graph_builder.py,sha256=3X5fwBgWFvy9yYfNqMwGoDCb1Y2D4ajAEdaGXyyWozM,30376
torchtitan/experiments/graph_trainer/spmd_graph_builder.py,sha256=x-7rg7y8dyuhxQRf7jP4k6PbKVUsaaq4X49vpS0ixSI,11321
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=m8PNt0FjI1iJLcibBG3_o0AwdzLlwd0oalMtPuYWkzk,19937
torchtitan/experiments/graph_trainer/wgrad_accumulation.py,sha256=4rnnfxyWc9PYId3neTdLhmL40NVqRAvxpD0RUHmxrB4,29279
torchtitan/experiments/graph_trainer/deepseek_v3/__init__.py,sha256=uEArSnVvv3iuKNrrbO0xZCyrHTzuhwB96qHZlrYdlXI,361
torchtitan/experiments/graph_trainer/deepseek_v3/flavors.py,sha256=M6z1SETx4f4G755pxA9VvPybNm-t3rp95U3naqoBjFw,1300
torchtitan/experiments/graph_trainer/deepseek_v3/model.py,sha256=JWWG-sl_QaS_YQjG0cP8hsvEaNmHLcW7Qi4qV3Tbg7g,1051
torchtitan/experiments/graph_trainer/deepseek_v3/parallelize_autoparallel.py,sha256=hHOhJOe6g6ZPrltj4_r1-w7GooU8aeVVnkEx1QqJ7bE,8920
torchtitan/experiments/graph_trainer/gpt_oss/__init__.py,sha256=xqHqqBIxWtnfzGfAYyFg0gacHx1PUGjvdf5vvAU4aD4,353
torchtitan/experiments/graph_trainer/gpt_oss/flavors.py,sha256=iggzGpfip_2lnzhcf1AoEgPiPFiLhcE29FEsX6NtiHA,1061
torchtitan/experiments/graph_trainer/gpt_oss/model.py,sha256=85CI_NfHSzu1uK6KwI5Q6K66POIdBYL7S3sq2XAS3EA,1012
torchtitan/experiments/graph_trainer/graph_pp/__init__.py,sha256=LhXcGfC-U5qP-nYvDDdA23MsVWd2PKvhfWpOYdF3134,1029
torchtitan/experiments/graph_trainer/graph_pp/graph_multiplex.py,sha256=xm31-LLtSi-irJfqncuVjUewqerNu5vod_MnCPo8Dag,6943
torchtitan/experiments/graph_trainer/graph_pp/partition.py,sha256=TwgYyxIWbVUVHJNpPl1ew3LM3AJWSvIWjYNsHeDhXE0,25860
torchtitan/experiments/graph_trainer/graph_pp/pipeline.py,sha256=pznMp878zvcI31SS1Un6KoD5DLMX5oGVK64SYsGZ16E,34981
torchtitan/experiments/graph_trainer/graph_pp/pp_graph_builder.py,sha256=sWvQqkky7RkQNHQb8Hb9u6ZGcEZWgwENP73FsCZv-yo,44074
torchtitan/experiments/graph_trainer/graph_pp/runner.py,sha256=PquSEGdgMpmhV1VZNqU3ZDW-DK8KfB2PKBSrWKp4mSE,42540
torchtitan/experiments/graph_trainer/graph_pp/split_di_dw.py,sha256=ZdDIZ-1WPYNGnOZR3XenrJCekdPnjHYhOR5jS93yNhc,12247
torchtitan/experiments/graph_trainer/graph_pp/split_fsdp_collectives.py,sha256=ppSXFMadgcB_r00KzRTRTQUo4nVj4v--Us3Nh6Sa3hY,24613
torchtitan/experiments/graph_trainer/graph_pp/stage.py,sha256=xQxzx-5WOvQvZSsyqlBaxHa0g9og94esTnvIO7VS5PA,20383
torchtitan/experiments/graph_trainer/graph_pp/stage_builder.py,sha256=NzNrpRx0GuYqtd5YZtYBV412Id8qfBFUpI3TCigb_xE,11351
torchtitan/experiments/graph_trainer/graph_pp/utils.py,sha256=rjJx_wo_EdTL5wSpGQNPN9Ywg2seK40mWKZByoyMXOQ,20986
torchtitan/experiments/graph_trainer/llama3/__init__.py,sha256=EjsTb76pU1Qsi7SNUW3GtrGl027qIK2r8GNotrlQwTY,353
torchtitan/experiments/graph_trainer/llama3/flavors.py,sha256=u-P0RN_ApYKDat42C_7Mb21UoF79hsdplJOKZvvAJ0A,1279
torchtitan/experiments/graph_trainer/llama3/model.py,sha256=g5Cx1hHWnwiovZeU_fBeDTE82gtw_foNGynkTToSLbQ,1020
torchtitan/experiments/graph_trainer/llama3/parallelize_autoparallel.py,sha256=PayIuJfWURnkZIi87o6TkrhvaIwJm6vvWGte3GqUICw,5701
torchtitan/experiments/graph_trainer/muse_glimmer/__init__.py,sha256=a6I_as0IfugV5-6w1ytd6_dcObIK0ohzUPmnCLT0JSs,363
torchtitan/experiments/graph_trainer/muse_glimmer/flavors.py,sha256=XF_b3f9RVA7NcHuECmL7xeFh_963tA1OtiaQ9ZeCJbo,1104
torchtitan/experiments/graph_trainer/muse_glimmer/model.py,sha256=zlTbg-9Jbt0SylvF161k8KxSriuMtelb0RV4qLyNn-M,1370
torchtitan/experiments/graph_trainer/qwen3/__init__.py,sha256=3IauOSk64Ih2pu6kQjlTFpcV4eCzy9riu-wIhgqUYA4,351
torchtitan/experiments/graph_trainer/qwen3/flavors.py,sha256=mdAN9Md28PcyDlSBswR5UNYdz_ufpy261QankFmPQQc,1273
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=4R9FS-FGuaZPptyPx4idhbR7CHE3d6l77pFLcnSXHN8,9979
torchtitan/experiments/graph_trainer/tests/integration_tests.py,sha256=5TgqrLCYYQxKWc4-URAVVIQLa3Gua5RAm9mDh1L8R5M,28552
torchtitan/experiments/graph_trainer/tests/run_precompile_tests.py,sha256=2fwysniDvF99Km3NziDpKYrnz4LS0z08xwdllb2_pqE,5863
torchtitan/experiments/graph_trainer/tests/test_autoparallel.py,sha256=B7vJewgYA8LkUlD4u_AK7ep7s9IPwIg-Q2Gq72XH3B4,6999
torchtitan/experiments/graph_trainer/tests/test_bitwise_deterministic.py,sha256=6FPRdPI2BDWfUh1ZuocqbYDQD0H-vaAGqilqL0cHJ3k,39397
torchtitan/experiments/graph_trainer/tests/test_chunked_loss.py,sha256=DGYOgTka3PUoKDlMRCRsjup3u6vgDwj_G-EdueFe3bs,6516
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_dist_moe.py,sha256=a5f1ICTVYPriXSMh4C4usQt8s2jzk98eU_VVFoqR45A,16169
torchtitan/experiments/graph_trainer/tests/test_grad_accumulation.py,sha256=YEjX-mi3WqMga_6AEHIF-spiU-tRmVnMvKUTics2pQI,2449
torchtitan/experiments/graph_trainer/tests/test_graph_pp_passes.py,sha256=n5lCcSMZglpEnC66tea_JYLBoxWV7DpPN9l8YVdqRks,117146
torchtitan/experiments/graph_trainer/tests/test_graph_pp_runner.py,sha256=BQJFcsrI33WlLi-jCw0isYJ3hufUyCLSC5KWnIWbQeE,94097
torchtitan/experiments/graph_trainer/tests/test_inplace_wgrad_accum_config.py,sha256=4pOTZ6SNF9T3PCzFy8CL9CbRPwVoGlp6Sbi6c7tPWpI,2016
torchtitan/experiments/graph_trainer/tests/test_numerics.py,sha256=hNGq_0jsiiKJqnlbOfwd-vhb00UGKpiaaXb-KlOTt1c,45185
torchtitan/experiments/graph_trainer/tests/test_optional_imports.py,sha256=JIHzCq3eeVVzBV665FcbZH4OVySPf5pB2rSHF3Jvptw,1811
torchtitan/experiments/graph_trainer/tests/test_paged_stash.py,sha256=RBoyxMkNTrQfIM-18T7LXykkLZDcHem3-dxh3U8dqSI,55579
torchtitan/experiments/graph_trainer/tests/test_passes.py,sha256=pWLWL2ggRJBDlPy2JpmjQS0x-gep6sbCcCYRXGDK64U,272969
torchtitan/experiments/graph_trainer/tests/test_performance_passes.py,sha256=-q_98QSletjDlj8EXd3YCatY8IlEEK4wPO5Ro_qzf_4,4717
torchtitan/experiments/graph_trainer/tests/test_precompile.py,sha256=6pNRfGoMgt-vzSzONnFUEYL6lTKQp2Jmhq9U01zp3d8,26964
torchtitan/experiments/graph_trainer/tests/test_profiler.py,sha256=3vDXU8LRfGwhO7CXGNm9Nm8jRsoA0IF9T5-yAGsGMEY,9459
torchtitan/experiments/graph_trainer/tests/test_registry.py,sha256=H0u_9ZxPZTeUY-KN2UQAEFw7gJQc0_uvT__BEFJHlUI,1724
torchtitan/experiments/graph_trainer/tests/test_remat_metadata.py,sha256=obtqgVxhHMu7ofvG3YAILGiUXERlpm4vAV4WZ8VKLZU,7661
torchtitan/experiments/graph_trainer/tests/test_sac_peak_memory.py,sha256=Op_-lEIU9AIeaX-mKzaOkXNEfhG6lAZoGW4WiL9hpMc,8658
torchtitan/experiments/graph_trainer/tests/test_simple_fsdp.py,sha256=z5Ecbm4aBzPtK9HvQWZxaDn-daKUZccyQTFl3KzIRVA,8206
torchtitan/experiments/graph_trainer/tests/test_subgraph_regions.py,sha256=56LjHSspt8NmILRiAyHQNuBYKaphKyp6AC3LVDSw3CU,7181
torchtitan/experiments/graph_trainer/tests/test_trace_module.py,sha256=PguFmNsjGTRoAaKFluwtn3Gyz8kz2NVf7Mq3UVVdVs8,98997
torchtitan/experiments/graph_trainer/tests/test_wgrad_accumulation.py,sha256=W79hXFw_MxZEfqTJlCsRnn_tRh6obW5TtB5NIsobjIM,33595
torchtitan/experiments/torchft/__init__.py,sha256=2dYny_YWM_CLnVvAcmz6v5srhpQVv4ECeQ3QQ7Sq4WY,420
torchtitan/experiments/torchft/checkpoint.py,sha256=EPtQefAxeL7kwval0ZsTNWSHH3pOBB-54vjgVFX2_64,9959
torchtitan/experiments/torchft/manager.py,sha256=JJ6uJJmh19yKCDjdvgNnK-sjIm5kqs7tY0ok0EAYL7c,9694
torchtitan/experiments/torchft/optimizer.py,sha256=tSsGtZuC--cgw6m_kzxc4MYEN-fqvfAOMHy6oY3RyR4,6713
torchtitan/experiments/torchft/trainer.py,sha256=_pqOO1tnFdNPLzxkjXgB1kVr_4po6p6xbSpZldY66OQ,24475
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=DJzABmdR5ZnUdEwkTHrls-PLUaf8tieOaHGv3uPtT8Y,5144
torchtitan/experiments/torchft/llama3/__init__.py,sha256=XLW3J0fcr1gIYhOxUjEp715kq7jCKKvlHgD41b0eDHs,355
torchtitan/experiments/torchft/llama3/flavors.py,sha256=OqA8s_XOE5n5--EugAbS6leVcU0dnWkh0XcqYVjT99c,1200
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=14oPN01XdlZPl7z8-wtdSzZJJ2lEq_ycsKpNYt77Qb4,4380
torchtitan/experiments/torchft/tests/test_torchft_checkpoint.py,sha256=WqNkvl_Dzu31MwnQ7-rxoluDTPiBwTKTkVY7HtQ54N8,18620
torchtitan/experiments/torchft/tests/test_torchft_manager.py,sha256=ALmGGcvMn0rivtD_uPLW421-nFynN5s7Dp-TjuyPrNo,3021
torchtitan/experiments/torchft/tests/test_torchft_optimizer.py,sha256=rOp-vMIuy8xJT1frgbDGRbRnBWdkD3eXHNw23Ud0Pm8,7476
torchtitan/experiments/torchft/tests/test_torchft_trainer.py,sha256=511mOz9dAfShl2sz_pmXEYWOm8HwPzVrPaiUW9IGvP8,12622
torchtitan/experiments/transformers_modeling_backend/__init__.py,sha256=LMR3OBZP5YhSJdUk298w-d0nPHkAgwespWMkzVIrbxQ,501
torchtitan/experiments/transformers_modeling_backend/flavors.py,sha256=SkCCQ2rKNyFDdIjaUDvT4-mvuH4GLF3qPQLh45oF4O4,5814
torchtitan/experiments/transformers_modeling_backend/hf_sharding.py,sha256=j_Wg4d0BZeJJdKum99y354pVsvsdAhjMpbPiYVxyU7Q,21298
torchtitan/experiments/transformers_modeling_backend/model.py,sha256=Somg1lvObnJuo2ftaHdkK1209Vugb1eRe3uXeq7rupo,68020
torchtitan/experiments/transformers_modeling_backend/module_conversion.py,sha256=gXuikvnjwYt_qe92g0zV_rMDjK6FiHTtl1kcmhgQGxw,2569
torchtitan/experiments/transformers_modeling_backend/moe_replacement.py,sha256=TtBzXyyhZmEhufmlA0kKEBlIjTIs7qUcSmnq2J30gOQ,21987
torchtitan/experiments/transformers_modeling_backend/parallelize.py,sha256=H3_NRLeDcFiWKtQ8G6JivxxNALDHmerRSypOUjmpfTY,15199
torchtitan/experiments/transformers_modeling_backend/pipeline.py,sha256=LK78fM48HKp8yrzcYNV7b09h3Be1-5lB4Q5YGIxgDcM,17395
torchtitan/experiments/transformers_modeling_backend/state_dict_adapter.py,sha256=vL1udD8xHWKHTPXinFyOYn25bwb4OwU0LgslhnuSPSc,9094
torchtitan/experiments/transformers_modeling_backend/tokenizer.py,sha256=qu10ZgUjiIpkT72pbpWL0P2brmg9fJFAtq9_sWv8elU,1929
torchtitan/experiments/transformers_modeling_backend/tests/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/experiments/transformers_modeling_backend/tests/cp_pp_numerical.py,sha256=C8Cc0TWg1etXvrA_fQ7wWG-UXRV8PxND6P6Ju5Dt7XM,7379
torchtitan/experiments/transformers_modeling_backend/tests/integration_tests.py,sha256=PKY9ToA8yckFCVsFY0xibZilq6l7p4-5861ABpnLMEc,2693
torchtitan/experiments/transformers_modeling_backend/tests/test_flex_attention.py,sha256=nRgYzltwBYS6HzXT7EgO_KsOBjZkHi225nu-B4AWqXc,4427
torchtitan/experiments/transformers_modeling_backend/tests/test_flex_cp_numerical.py,sha256=2i7fKxVrVWeup8taxv6sMtqodw_2aFaE7ICkLklYuZw,9564
torchtitan/experiments/transformers_modeling_backend/tests/test_hf_build_forward_inputs.py,sha256=UiQV3-czeoSjqeXI_roRUTSyZe3Wv_eS8GDRWIG3yw8,5365
torchtitan/experiments/transformers_modeling_backend/tests/test_hf_sharding.py,sha256=Z2enevZIZ30oUaYtDAyzYSsWnvIg3j1uDQv5d8qXiiY,1133
torchtitan/experiments/transformers_modeling_backend/tests/test_moe_parallelism.py,sha256=rgXkP4Qqv_5LHY9Ahgw4wJ_BwoXZ510yXyznWi6-rHg,24229
torchtitan/experiments/transformers_modeling_backend/tests/test_rope_init.py,sha256=778dxaoEI_UhQOv3wLD0N1Y63YwFTuZzxhLDqYWH5IQ,4115
torchtitan/models/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/models/base/__init__.py,sha256=2_13i8Y5jWpU9xwjQa0JgKckVOW9ij8s4eazHt-qZx4,498
torchtitan/models/base/model.py,sha256=Ds93R3xx_Z7HDVcm4Oez91vyM1GNT9087PJPzYDcsBY,7618
torchtitan/models/base/module.py,sha256=OFPQpOhTuJyoNcyPiPWR4ajNagFAG1pl18sdYMsanQs,27580
torchtitan/models/base/sharding.py,sha256=TGv5VevU8ETkhEPgtKZ7JMShRRsyIkK9of7WWqJ4Ayk,5511
torchtitan/models/base/state_dict_adapter.py,sha256=_7YtrDrAs4cv_pexwqCFagGg8X3T_pE5zLopHsOznBQ,21523
torchtitan/models/common/__init__.py,sha256=yb26oyEpJd8pgfxHiEQ7f_XPy1lxK3nqVJ5dE_t8AKM,2857
torchtitan/models/common/activation.py,sha256=TXvJk6DxUF_mqz3Yy2Ts2fhYNiOohU_DaUqXZAAsI_U,7771
torchtitan/models/common/attn_gym.py,sha256=QG9HFM2q4sIv59ZSnIYcz2rTiJtzPYcNqsPqw5gk_fg,10174
torchtitan/models/common/aux_loss.py,sha256=RwRZ4hIJuTTxGBqHE9mM6fyJDhq_96Z_Of8SMj2BK5c,12860
torchtitan/models/common/config_utils.py,sha256=WliBni1g4CYoPhBYCtPmFQma_Xw_kZ0_rQBJG_RWcT0,18175
torchtitan/models/common/decoder.py,sha256=LKgaKEzDhshJgsRpGEE8uVNfVyQmxFgrR1p-thqixBg,20401
torchtitan/models/common/decoder_sharding.py,sha256=8YCKU4HRiAoJ3cMGGsaqqpKuWRQlj2AtSaSyUQcQ0FM,12788
torchtitan/models/common/embedding.py,sha256=D2Vt6Za1le_5zeh8fOv2P-lTsCvaOQZjmqnFOuL3Ens,2432
torchtitan/models/common/feed_forward.py,sha256=FdzB3X-xC_Kx4yHcYxHbuk6B-YTX4VKY-4WzXXrLTwY,2506
torchtitan/models/common/flops.py,sha256=COoODD_XYPNVocE5tzwdoE9bxtOSKvIzAUeZ882xGS8,6409
torchtitan/models/common/lora.py,sha256=wQrzzu81iyB3U0s0aQkCvEJMlhLkuzkMh0PCmoB_9fA,16187
torchtitan/models/common/multimodal.py,sha256=UIBZZMKe-6hfLd-mozt_eyO_XGee2bWbagYZZvGoMxU,11395
torchtitan/models/common/nn_modules.py,sha256=OZBf_1zmfyYBYnxMaM0zLfk8ntHHNXtGN6q1tImXF-A,4476
torchtitan/models/common/norm.py,sha256=BTVK0nALdrtzY9Oem4spgpFOoSJORr3CIoRNYsVQdY8,1463
torchtitan/models/common/param_init.py,sha256=yzgz1_d-qx1VzrllxGqyHKa6zMfOhu3GluAYp9hrt64,1009
torchtitan/models/common/rope.py,sha256=NGvuogdBFMqjjxoQNWZsf103jKxGFv3prYlyUUSsv4w,19344
torchtitan/models/common/vision_encoder.py,sha256=JlpOk_6BDVgpCgG_tdB4rMOoeEWaDnOseDf5_ExOYr4,10609
torchtitan/models/common/vision_encoder_sharding.py,sha256=y6L1mB7fcMYmYbtLnSaFQszOpDIya5r8iOI0M3QkX90,6371
torchtitan/models/common/attention/__init__.py,sha256=13sqwt7YOqfAd9QifreHwb2TBAgroO-ihQeQVZkwR_M,1362
torchtitan/models/common/attention/attention.py,sha256=UrXpS795LasL_La3Tbstv7ChgIxXMibTno-feIE3ynk,44758
torchtitan/models/common/attention/cp_attention.py,sha256=_Abe18VQkvFiu48aBK7ko1y_rxdW1P0-dcM2sL_h26g,20509
torchtitan/models/common/attention/cp_gdn.py,sha256=N3OzjU__3JRy16RauEU4ACU_vL3Sp4G3vgJ47bTJa6o,10045
torchtitan/models/common/attention/cp_kda.py,sha256=hjeAoz1QFtYdu4mpL1FQEEeoqLXyEsUQANIOJUX9spQ,9011
torchtitan/models/common/attention/cp_linear_attention.py,sha256=1d7aZSvb7RsSa8kOc6AFLXpCROjEcvygMGPhHasOIsw,4906
torchtitan/models/common/attention/cp_mla.py,sha256=2aNny-dvex1reTqS2YcczwuBFozQsB9Bd6SGcuAUGZk,5386
torchtitan/models/common/attention/gdn.py,sha256=p7nF7piNEnIrK_NroJNsPwQsBkeUavfdtzFlgNEU27Q,23769
torchtitan/models/common/attention/kda.py,sha256=b5aBNVd4AAuqJXs3n-JMV_LU7fGwIdbiIlO0_-p8b6c,13833
torchtitan/models/common/attention/linear_attention.py,sha256=qQJdUEUNMrYAUvYyhinC4bBF1oHYcCQXi7Dcygfh9j4,2574
torchtitan/models/common/attention/mla.py,sha256=r9kiMqwcwED5x7z7V7GwhuOAMmyRq9sSc81NEJn3sq8,4467
torchtitan/models/common/dist_moe/__init__.py,sha256=pUH3_F2jrHoEUl7NeNIIm_bPgC4NdNtk4wFUOJ7bwIE,1685
torchtitan/models/common/dist_moe/mxfp8.py,sha256=p3uwTY_bhP9VOau-9BrqMuWIQJqF-gvphGXuyiZ74WI,12745
torchtitan/models/common/dist_moe/routed_experts.py,sha256=n0kkpi7j4GOZ5bh0_wvab41F2YXu8KOBKuNToUidTqg,10711
torchtitan/models/common/dist_moe/runtime.py,sha256=XZZkF8X88ONfEkUqJ3y_YxQvlT8lM26zQpQfR9DHuKo,26652
torchtitan/models/common/linear/__init__.py,sha256=1mnny96sWrMr14N0mpjc69z6nGp50UeaCYMsKN_aEn0,472
torchtitan/models/common/linear/async_linear.py,sha256=nqBHIUwbCZHp2sYYO5Xya24YvS03lnYat0cqQpsCqpM,13642
torchtitan/models/common/linear/hi_mid_lo_linear.py,sha256=NdP3trnIqLuo8vZlMCqP4yVErHNGA_dgynwjaSN1G-0,20881
torchtitan/models/common/linear/inplace_wgrad_accum.py,sha256=sQhmmQRaDHU99jdGBRLu3kRIdyunjBfCP3hjyZh99Gc,4282
torchtitan/models/common/linear/linear.py,sha256=_tp2I52Ty1uQQiZjsYjPIowST3cW2smazO_iSmT2TbM,20261
torchtitan/models/common/moe/__init__.py,sha256=8GN7hGnd1b8ysGLNCBNsYZex2zNfZypRgJmzjlzeVLY,847
torchtitan/models/common/moe/moe.py,sha256=ChA4pddlHI0zxY6vvH7fdmM928kUgi804IufcAP849o,51080
torchtitan/models/common/moe/sharding.py,sha256=Y-n4fJREaUFEOFpzxF_Ibn0jnN2eoeYGRXpTnIhVv_c,6600
torchtitan/models/common/moe/state_dict_adapter.py,sha256=5zfPurc0pL8-wgu3AtUu8l0a6_YcWXzrDCHBnhc5txQ,16311
torchtitan/models/common/moe/token_dispatcher.py,sha256=BC0wcbmYQ1MQTZMAq7qAyt_cIxwUkJ9-5IHYKrHO8hg,44631
torchtitan/models/deepseek_v3/__init__.py,sha256=1qZuz0kEjMnC0mTuI7M9XBwv3VYd_9SJ5sOhQ5l6Qxk,567
torchtitan/models/deepseek_v3/attention.py,sha256=pZ6HMXDZ5-aCqRPE32tyzvU3kDgtTIoBoUD1Dh1tHBw,9347
torchtitan/models/deepseek_v3/flavors.py,sha256=NVUFJHPPHWwlwXw_2Cr1T7-AgjsmTkZMWHL3mUuXHeg,26855
torchtitan/models/deepseek_v3/model.py,sha256=8MWPNZ9j92c8t2NV1tkw47chKo6gw8V49wv5Q4S6aiQ,3817
torchtitan/models/deepseek_v3/moe.py,sha256=7icKIGza-WWg7nd8M8j5lMW4KwN_shSKwF_iF7iOTXQ,2967
torchtitan/models/deepseek_v3/mtp.py,sha256=ZSi5F1l2RTU3KIVjUiiXseyFQ1Ysu1pRllQ5DPhdtjo,23239
torchtitan/models/deepseek_v3/sharding.py,sha256=CPFaxMIY7ZKCvGA4xc_oNhY3KiF5QPsKHVyFDWC9drs,1892
torchtitan/models/deepseek_v3/state_dict_adapter.py,sha256=MmleEKwIY8Rdg7cgkvM_ePLz7TXcbsWF32md7R-cEfQ,14840
torchtitan/models/deepseek_v4/__init__.py,sha256=n8Nq66WCJjWLKPat-y0aRCY-Pj1IPokssuXbGC4xSC8,369
torchtitan/models/deepseek_v4/attention.py,sha256=lcyOI98gL_5Snxj19C_Yd4d_HBcKA8w-SntUOoeZJ10,17594
torchtitan/models/deepseek_v4/compressor.py,sha256=B3q2zWib7mTvAx94alEQ9-_5b23nga3zpM1KNp7paK8,18537
torchtitan/models/deepseek_v4/flavors.py,sha256=9tP3euQ8y5SA_VrZ1iZl57WaVlbVXf-kgM03dsBdqmY,38108
torchtitan/models/deepseek_v4/mhc.py,sha256=qjpikK1-6FFFn9oIFnJV_WVG7uqBMN_n6suoQVkgNYo,6843
torchtitan/models/deepseek_v4/model.py,sha256=6x8XE7Rl3mz6K5kKSfkR6er03Y9wEA6Of-RfBi3Tlew,15028
torchtitan/models/deepseek_v4/moe.py,sha256=MB8l-Ol7cDFTPp7mikEmF2esrjJ3YY4MVGCebab1Qew,3648
torchtitan/models/deepseek_v4/mtp.py,sha256=9xrPd9wJcdKn7OOsvnFssj9v109tjqVXegpNYqp6p-I,3061
torchtitan/models/deepseek_v4/sharding.py,sha256=owp0n05n-NtMbqCzPTfFUKg-D8BVLFUDcZtl_Butqnk,7679
torchtitan/models/deepseek_v4/state_dict_adapter.py,sha256=taQIUPu1lazcyyc3Tbuvilw4MBv9QAyhmxvNd46vGpQ,11520
torchtitan/models/flux/__init__.py,sha256=Hc37g8fpkO8mq6ejbLG-dz829aDSnsq8MT0OHXdwTEg,339
torchtitan/models/flux/autoencoder.py,sha256=x1x-_KRqg-xSTVebM4HadTu40rDI15OZdq59OGAmf7g,15054
torchtitan/models/flux/data.py,sha256=7iMQUd5IH9TieGRCAueWU_b0-AZ8amE3K9qJdo2IUrM,11644
torchtitan/models/flux/flavors.py,sha256=nB247vdEMTxXgsI5w9O8ZYGUn25hvtHaNSdGL6P0x9M,18413
torchtitan/models/flux/hf_embedder.py,sha256=VI6LKpPO6pDcER025ZRI0MffAER4giyU5UlixRzZ3cw,2970
torchtitan/models/flux/layers.py,sha256=SyM1qgY3iHD6HxZx9S6HTxsboQd9thj1JbqhX1AOUI8,16806
torchtitan/models/flux/model.py,sha256=aSr_5UY0vZcbTzS6h9vRfs0A26vyZHIbIVXjqv7W0h8,18142
torchtitan/models/flux/sharding.py,sha256=GYdhXIcw404q2jBz8GAu8jSa7fSd2uSy3EdrLW7VhUk,2255
torchtitan/models/flux/state_dict_adapter.py,sha256=aAZWYEHjCD_oESojQjYU1ML8aKUdf82iBZNif72oIoE,14703
torchtitan/models/flux/tokenizer.py,sha256=zuuHdpxRC_al2HfA_H8Qj3VIYISs-0NsKboNNJm7w8w,7303
torchtitan/models/flux/trainer.py,sha256=NQcUCRKIOb-bcaaCH3Giw-X6w7Vc45-459l975mT_BY,8204
torchtitan/models/flux/utils.py,sha256=gzoL_motknOivYErQ20Wz1aAWvhKNke4mjOQYqPrlqo,5959
torchtitan/models/flux/validator.py,sha256=MEnwU5x6HaS2S-PsC-RrY2FoEjaxf_Zn4ARfjgzORK0,15469
torchtitan/models/flux/inference/infer.py,sha256=9sUwwNwN1BjUruoNIM7ASR9lElzLd6DNCzC8wRiSO1s,4221
torchtitan/models/flux/inference/sampling.py,sha256=sD-KJ6f2FMML-rTHVZvEnUME_eUyBZqzp93ycsFSeXk,8341
torchtitan/models/gpt_oss/__init__.py,sha256=zd354-B6LLZy8vcHbtsLSTokrbinSG0SSrMxnInkTIs,361
torchtitan/models/gpt_oss/flavors.py,sha256=cCQW8D-dWfWfpxg4wItdc2fyuX9P0Prha8D7OpC86vM,15840
torchtitan/models/gpt_oss/model.py,sha256=fnoHbKQvbgDSU4wiLzlntA156SBZVQJOuDU-igqQZ2k,9498
torchtitan/models/gpt_oss/moe.py,sha256=GRGDGp9VVLjc-PVDn8fYBr-zgTVXCAHpdEpxaMs-0I4,2625
torchtitan/models/gpt_oss/sharding.py,sha256=h7L23vVLccHZf60KmSzWIcO_kBscqiBf7S6j3h1ZcNk,1238
torchtitan/models/gpt_oss/state_dict_adapter.py,sha256=lkmEucbiWfm1QmuBTr3sySBTjuPwqXAYKBM2a9f2Uuo,11631
torchtitan/models/kimi_k2_7/__init__.py,sha256=pJbaR9oydLEP9dMU1hSRGoB4UC6BEefd-dm6pFC-dXo,677
torchtitan/models/kimi_k2_7/flavors.py,sha256=WGOX6rMP7FgHjK5e__sMMgtu3kWTErIWbFCwygl2hM4,20551
torchtitan/models/kimi_k2_7/model.py,sha256=JeaFpB9YitbbCXTzVQ7xM3dgg3ZE7faAxrthW1sljz4,12614
torchtitan/models/kimi_k2_7/qk_clip.py,sha256=4Ind5mDy9Lh2OV9IjFQPV7X-L2WuAu9o8Vwbo8q9Vc4,7015
torchtitan/models/kimi_k2_7/sharding.py,sha256=K3iEoTMR0JNHw3tDXRJhaWfwHbDpfuI3BTvOBOqHg5E,3329
torchtitan/models/kimi_k2_7/state_dict_adapter.py,sha256=GsNXzSIW06w7vfkQ4wG6GwDQhTp68_gt5wyBswmBgO0,11871
torchtitan/models/kimi_k2_7/vision_encoder.py,sha256=9Yzh4T0zuiBlHKJ8-RfTwL-TIZDGREh_uZ1wqwluzkI,21021
torchtitan/models/kimi_k3/__init__.py,sha256=--i-6bIq4qw8XehK3vrjWIOupn44_iUaMcrRf7UdGRs,561
torchtitan/models/kimi_k3/attention.py,sha256=I0lHRSIj4CTlAqmr9Ud_CDwgLIKxvibdhDjPB075zaI,5108
torchtitan/models/kimi_k3/flavors.py,sha256=k_QL5du5BLs1dmqlqWc7G21FNxjX3IzM8lnD4Tavs5M,26710
torchtitan/models/kimi_k3/model.py,sha256=ns3H6gGGtfy8OS1kC4NJBwbN18HTHQuHCGGlVwmtxso,18949
torchtitan/models/kimi_k3/moe.py,sha256=P5-ERjgGGAvJfGnWAYFai9xFSTTv2cRRsVGFZwHnc7o,3305
torchtitan/models/kimi_k3/sharding.py,sha256=_Is1FUq3oUqJv43s-KI1q0SalMZxf10dMQ336GAsHi0,5020
torchtitan/models/kimi_k3/state_dict_adapter.py,sha256=xqcAmE_I-qSy2BSrvO9yGo5iTLVkYw0-H477fSKQP4s,23867
torchtitan/models/kimi_k3/vision_encoder.py,sha256=lSxotBb5Ad38rAhX0a9CzmQx2VtFyMXqpYbezw-PbcQ,3623
torchtitan/models/kimi_k3/pipeline_parallel/__init__.py,sha256=57AHZaP43yFmNVK2GffXcfxFpS4LOrbF5EfliUg1Zbk,5022
torchtitan/models/kimi_k3/pipeline_parallel/cache.py,sha256=sLydK7edGyBfVCgua07qhBn6nsT54xmhUH73F7ySTJ4,1641
torchtitan/models/kimi_k3/pipeline_parallel/layout.py,sha256=WxVvOEpf7jiALfoPESYtT4p-j1gzT280CXFwg3iwgik,6332
torchtitan/models/kimi_k3/pipeline_parallel/stage.py,sha256=y4FS6XUVLmNwhOYcwjenFplrYYriLH8tfD3MlrXV-f8,14090
torchtitan/models/llama3/__init__.py,sha256=jT8-7z2CVw856PoPxx7LSuftDWmbJXVlnki9Fau0e8s,361
torchtitan/models/llama3/flavors.py,sha256=ogVfaWL3BpDQ1jCOwuEf-7yq-VU5c8TpdzkkbYaRW1Q,15053
torchtitan/models/llama3/model.py,sha256=TKD-izDdnuq9PD97jtN3u-uews9BZqvYcIEE8x6k25g,3025
torchtitan/models/llama3/state_dict_adapter.py,sha256=STFWCguHUs2998apy-NlRfuhGGIOc-yNSpPAf6CQvxc,6310
torchtitan/models/muse_glimmer/__init__.py,sha256=UNz5NCJg0f_curGFloWx_gVmLgZGLucCUgqd1FgaW9Q,801
torchtitan/models/muse_glimmer/atem.py,sha256=6PR-b2E6YjMTs3WojKjJ61EoLVXUQK9yK3p8uQE-6Ls,3453
torchtitan/models/muse_glimmer/flavors.py,sha256=tLSP8FrVrWELBYtwEWjmM7Pz-uIH_6PCpN8JiVQMQ04,20368
torchtitan/models/muse_glimmer/model.py,sha256=EEqFnxdQi08m0UCUcjPUw7o0CAY40DsSKnrkUB5vKlQ,25367
torchtitan/models/muse_glimmer/renderer.py,sha256=u6kaWOjQgHQC3VSr4xgBZvhzZEqVGHPTR8HH1ebdLlI,30967
torchtitan/models/muse_glimmer/sharding.py,sha256=65LsRBjRWHzi4sovQSrFb_bz431yN3UeYpgtxbB5Imo,3442
torchtitan/models/muse_glimmer/state_dict_adapter.py,sha256=YzBugxRr9ZnVHKxYremlSWjUHuePc2uIt9qkaAfkgQk,15229
torchtitan/models/muse_spark/__init__.py,sha256=7gWcGBg-0UrNRM3ZKMlXGMfe6lwmLnbHj77R3gNz678,1064
torchtitan/models/muse_spark/audio_encoder.py,sha256=goKhSq7dRJDj2E4orKkYuuNgUecB6lz92GTqPi428Lk,7205
torchtitan/models/muse_spark/flavors.py,sha256=HRFbXtopRoyLAf6KabLKXx8DecqBiSxLJR4nOKmPVh8,39585
torchtitan/models/muse_spark/model.py,sha256=xSaS_oDBC98LgJ3rGfVG6S7RMCv1LlWX-5n9C_KLpw8,40922
torchtitan/models/muse_spark/moe.py,sha256=qh-fEOqnhrodLGYmccgj7eyZRsA4g9vwpVGQX90K7_Y,5788
torchtitan/models/muse_spark/renderer.py,sha256=qBz5FZ_cJkLYaBkuR0J06my16TLAnLXxCEBkHveA-i8,31906
torchtitan/models/muse_spark/sharding.py,sha256=q1FI-FxOKZNoNVHrLeNYA1YadSKKwUKVMA41_TwglEQ,4708
torchtitan/models/muse_spark/state_dict_adapter.py,sha256=ctX1cTmHdRfJVJVHjOFGD7vIUo8_BSUqTgdjjIzq2Mo,31731
torchtitan/models/muse_spark/tokenizer.py,sha256=gZqs9eIz1dOgL8WUd_id9j1g6yqW5GbgWrq4Y5xpSW8,2754
torchtitan/models/muse_spark/vision_encoder.py,sha256=fWIOVfXlCyy1LsnedVJKUjyMYFMjnydVGP_FrJq4ws8,19538
torchtitan/models/muse_spark/vision_encoder_sharding.py,sha256=rlXtBxL3HxmhsYqZhWFq25GSX-bfwIQzigc4wT1AiDw,2098
torchtitan/models/qwen3/__init__.py,sha256=1Fzjm6RtAskzEWivTvapYDpkDsJAAU_8TWufjMlR7K0,359
torchtitan/models/qwen3/flavors.py,sha256=0_F3ERopmWA_ypfIIwHfwZH8mQiMaL7JV2T9Qln60Us,23100
torchtitan/models/qwen3/model.py,sha256=wVpxaaLg06d8-y9hnjbZSG5uRn20Do570NAfxc3XlH0,3719
torchtitan/models/qwen3/state_dict_adapter.py,sha256=SMMceXtsx_JCplVfcFWo11kO7r6_bNq3_bLJiNxqaoA,10205
torchtitan/models/qwen3_5/__init__.py,sha256=nlT2zxHQLRgLyGIAzwLvE9M6b4JI8Zj_M0VOuMDTmlA,523
torchtitan/models/qwen3_5/flavors.py,sha256=tL8AIPaqLnRCoID93uoWXx787EUvdLFGnOj2Hw4Ils0,46291
torchtitan/models/qwen3_5/model.py,sha256=KFqc4wIFBVbwy3pSn34mpo2yPDC1R6khgK8JvwiJW3g,29243
torchtitan/models/qwen3_5/moe.py,sha256=DeABOV8Wq5DXR7Hw5QpVOIrEZ9KzCQDz5QLaJQRroho,3004
torchtitan/models/qwen3_5/renderer.py,sha256=-TSvtVSiCC2Yy4EAw-72CkeBMrZzDLMi6tRQBr-IDiA,5941
torchtitan/models/qwen3_5/rope.py,sha256=0XB9QaDAfir4LCzKt6UBKOFY22pslkZH8k478J_Uef8,4819
torchtitan/models/qwen3_5/sharding.py,sha256=c2-jDZ5FnIx4H4qmxniHk5PpW_KSi1Kp39Kms-fZWg8,6993
torchtitan/models/qwen3_5/state_dict_adapter.py,sha256=vuxN4uP1dXg1eeVeMxuuqWS7anLvykoB8_cBDf2nJqA,19334
torchtitan/models/qwen3_5/vision_encoder.py,sha256=FE65_UrjkE92-khkLTHIIbSToYzAKKDulfQ-xHoJGDY,18105
torchtitan/models/qwen3_6/__init__.py,sha256=MBaURlrl-yKCnMr2WWY61_T6DJDqPzoNZbQeK-fCJew,548
torchtitan/models/qwen3_6/flavors.py,sha256=Vs6OciyCy4h1PCCZQnYRbsb3vi7DwOdiODV5MGUxm2Q,1928
torchtitan/models/qwen3_8/__init__.py,sha256=ANV05Me612ov9laXpc3CnTYbQSDWd7Vk_0OJYAHfs08,548
torchtitan/models/qwen3_8/flavors.py,sha256=hZvZEMtIxpy35HA_TV6KVNI1hVfjSk28AAX4RID7WbY,4316
torchtitan/observability/__init__.py,sha256=m57p5-PlTbq1WB1Dw1W22MhgwM1QChQGFYLp15Demmc,278
torchtitan/observability/logging.py,sha256=uAwDUMEKfUMk22ikODMq2nCYdhld-KDqgCXCHLSJvNE,2910
torchtitan/observability/metrics.py,sha256=j8xfSeUDiyqw7zXA90XMaCo5_XgSTB6-r4Sjj0CRsgc,24565
torchtitan/observability/profiler.py,sha256=GQ4uO0KvQm3p-Jw19asKOOBaxQHaPEHxe-qVPhVkTrw,23849
torchtitan/observability/sdc_replayer.py,sha256=HDczRFRVLwoAXaILTAq2pYKezt0dSv5wPhN7XhWxX2U,21373
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=D3etvvs4l0ayySnlQY1TosGKwOhEKTDc8_6Brjmrbdo,11759
torchtitan/observability/structured_logger/step_state.py,sha256=V6yi6BCQMHseue1b2oL6BKcRgSKdZlnt6LKYxzkk-pw,6678
torchtitan/observability/structured_logger/structured_logging.py,sha256=k3DYE6G-CqyVJc6BXhkgPIx3EKtqxtLLAlLTU5fMuyM,19028
torchtitan/ops/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/ops/grid_sample.py,sha256=FljPeKh2BRHvYMYyvVyW7apma8ThGYbN6CbbodJ3L0g,4073
torchtitan/ops/scatter_add.py,sha256=vRS0OPllf689jGW2OFG9SNPHcIs32GZXo9751Z1Fm2E,1561
torchtitan/ops/varlen_attn.py,sha256=MwIuBmrQ4VFOrAOwekidRsjH0e9YgEAduL8E_wbLsks,5190
torchtitan/quantization/__init__.py,sha256=zhyAZIhVPBBd6p6v4irIADcdJJLeiYX2HHxEDDGYuJk,377
torchtitan/quantization/_fsdp_tensor.py,sha256=PsZL4ULqdhc89obuvRHAqLmuY_wEf_lQ_tkeHIDalfs,28092
torchtitan/quantization/utils.py,sha256=jAnVrNL5rBdImq5BUwfR8sOSpYq5gSr7syL7Cea8wN0,4320
torchtitan/quantization/mxfp8/__init__.py,sha256=zPGQDYRPb2TZKLmIJbqWhfPLv3uo4V6IIVEPeAlYNzo,697
torchtitan/quantization/mxfp8/experts.py,sha256=jJsN7-O0y7MFBz8dzuwEwi3PsRAw8t5KPc7Ljgllub4,2141
torchtitan/quantization/mxfp8/linear.py,sha256=HtzWRrkq63fVhCmJovXaxjBTj2IjxZL8SusyEd58-JU,23488
torchtitan/quantization/mxfp8/tensor.py,sha256=lBHw1Vwt-zjt10__3wEo8LGqH5FLfQjUy7rIMLSOHj4,4468
torchtitan/quantization/nvfp4/__init__.py,sha256=Xymob6suKpT0thM5jvS1viNFYfQn_qq3g5Snwiy9_ww,897
torchtitan/quantization/nvfp4/experts.py,sha256=oARetRFHwXz6M-9rbAqjB_NS2nGKt5sQhAUJ8lwvDko,3882
torchtitan/quantization/nvfp4/linear.py,sha256=nDn0DPgsyfmJvlwf9D2nr5iJPiH8wWNZ3HI1AHPGF8s,19821
torchtitan/quantization/nvfp4/tensor.py,sha256=QfCipxzhbWoPvO-1rAuB6Go0vS5S_sJ7QsN9QecsfhY,3524
torchtitan/quantization/nvfp4/utils.py,sha256=8W9szXk-PQSvh2uDtszxEq6RlDx6YClu-wYfUYFFSA0,2434
torchtitan/rl/__init__.py,sha256=hGtVBo76hAA6rQh4uGNXQ_ybvh95dAFijaGIFJwHCEk,493
torchtitan/rl/_env.py,sha256=YjxMFkaOuPCtmA7EO6XqTnOOHMeUS3zSHMq-Qj8-0f8,1362
torchtitan/rl/generate.py,sha256=7f8lf0-Cy2ey6EppOAtzqH_VZlBMCHOfDG_pWe8VWWM,10865
torchtitan/rl/train.py,sha256=Y9g6jugSp21NBKu_9dSlghB0pwMUV1fr9JBKLNxVGng,3015
torchtitan/rl/actors/__init__.py,sha256=nPjmo05MtUv5_39AL6l7Y9TtpQmi5Xsfk5bXGXPWqf4,280
torchtitan/rl/actors/system.py,sha256=dzPWRs2jIRT-usWmafm-sSvoRFyGTYtUC8kI8kDhZQo,5777
torchtitan/rl/actors/monarch/__init__.py,sha256=iE3U1kL455HqFbL1mkjX9GP-2p0EoJgiD9wBHLu9NtM,271
torchtitan/rl/actors/monarch/batcher.py,sha256=29anceYhRYWQ_4mAtfC13iSr-gIqsP7km5xnahupzFg,3860
torchtitan/rl/actors/monarch/generator.py,sha256=k8rGq-N4sZmU1ijO4Sa3tzBeyYbwty0CD91OgyJ9NiQ,3284
torchtitan/rl/actors/monarch/provisioning.py,sha256=TbVUVggdKBwn6DBfOJ4QSnxLz0wazGNsYxDEjILbU1M,11581
torchtitan/rl/actors/monarch/rdma_microbatch.py,sha256=Jbebf8Ar269tSX0WVKm3Rnrt-fEckp40qmdy0cJmoNA,5239
torchtitan/rl/actors/monarch/rollout_worker.py,sha256=nuL9QKT7ml5ms5nH2D7U4s-0nkNn8nskJF0WIVwJ_7w,2609
torchtitan/rl/actors/monarch/router.py,sha256=Mp-OwuTbAxt3L_AtPaykjUCK9XrJh18ipVQ4iZvgVgc,2758
torchtitan/rl/actors/monarch/system.py,sha256=GabVqoBqTTQLNJD8t7LZLqLhRVktfKtfrmMOyfa5H8c,9497
torchtitan/rl/actors/monarch/torch_elastic.py,sha256=k1bUFbQAs9h5HnGBo1qc9SdY7S0ks-K5pn8mSFsjsr4,2122
torchtitan/rl/actors/monarch/trainer.py,sha256=UpWYxHR5dU-2idzD-FLariitYMkm9HnyhMvLj8qn-fw,2350
torchtitan/rl/actors/monarch/launcher/__init__.py,sha256=OIpzT35wieFrtViEMU-54oTSwIddn8RV0Fgh6CqCA3Q,350
torchtitan/rl/actors/monarch/launcher/base.py,sha256=xh5dsu_c446KiFT6UMJrbdI874E8pSXNjAP-x53AjM0,10935
torchtitan/rl/actors/monarch/launcher/slurm.py,sha256=lKIrG_V6JLxF5cW9sOTpeqmeZzFFY4jGrOQ4Fvftw2E,6690
torchtitan/rl/actors/monarch/launcher/submit.py,sha256=FoVFiMTHru8lWCHjjHSWyJFtiRFNtNTPjIr75P5uJXI,3147
torchtitan/rl/controller/__init__.py,sha256=l0RGqvu23If30NXvC2dsULivoKEviCtqSf8O0fEt-3I,281
torchtitan/rl/controller/controller.py,sha256=Q5aW-1HIG-lZVY5wJG-w99_SC3S9whvC1bHdhshjXAg,74018
torchtitan/rl/controller/metrics.py,sha256=qYn0OGQn-gkG25U_lX8IwS4Gt-BwPR_0T8BugQBQCq4,12766
torchtitan/rl/controller/work_buffer.py,sha256=iM5kSVLjrN1BJOUk4955BrRMdO7dRDeBLW8Cdqhuy_M,12929
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/data.py,sha256=lKWMGMAR-5diyylisT_bBUFcWyGf-qf2tIJ36dNmrKs,6988
torchtitan/rl/examples/alphabet_sort/env.py,sha256=dUrfYLubB2N0DMxQ5vraSoIWm-GnnoDeXGZ3oGKBkiw,3428
torchtitan/rl/examples/alphabet_sort/rubric.py,sha256=0Nj2HdOuna0oJYyT6DJ8_7W8wrCuknGmK2hyubOgAoQ,4357
torchtitan/rl/examples/dapo_math/__init__.py,sha256=Az6Ui-AFu0ryct9YuFny-_k02ey32aSnRSHpQcEb8gQ,787
torchtitan/rl/examples/dapo_math/data.py,sha256=7JliTWQ6DR6eQ86t7DN9OqwOLJvkBlIEKc-tAkWE0JI,4889
torchtitan/rl/examples/dapo_math/env.py,sha256=bjCUIc11zdy_1ZXTkJzaX-Yi_cnNDFXrXPkxXmCiX4A,1306
torchtitan/rl/examples/dapo_math/math_verify_pool.py,sha256=trb-Ipo93sUQB1bApDw0cqRjxgeoHHDm46ts1I-CQSg,8051
torchtitan/rl/examples/dapo_math/rubric.py,sha256=s-UgGiko1xn3ph3Ds8tGq8Cv90W1GTnMu-Xc7QABPsI,2505
torchtitan/rl/examples/geometry3k/__init__.py,sha256=X0XHgxGBJh9sGlhRqaNLimyt-o9b5JNKIUrxHBdA8Lo,535
torchtitan/rl/examples/geometry3k/data.py,sha256=ZfeMY0AECD4o1n43reeFbQNMI3xG83xH58uLcCwtkkw,5324
torchtitan/rl/examples/geometry3k/env.py,sha256=eTvu5RGxL2o4ZSFeBBuYav_hAqA5x0oGBQhXA5xohY8,2116
torchtitan/rl/examples/search_r1/__init__.py,sha256=Cbp1-bfZrSPvCI5100HRs7h-RHy5oknaiNXoQVCUv9g,524
torchtitan/rl/examples/search_r1/data.py,sha256=MLFGV7RSTd9LuT81_kZ02a4fL3zk8BqGpxIRWejEnds,4517
torchtitan/rl/examples/search_r1/env.py,sha256=8rP2AUUFHh-X9Qt83yP1qsrPAfFoBtrC_MRcEvmVonQ,6350
torchtitan/rl/examples/search_r1/rubric.py,sha256=WK16Ij-ajwFyqlrb_ulAAXc-GzFfgDmCUkx13rF3MVs,5048
torchtitan/rl/examples/verifiers/__init__.py,sha256=t8l0hLRKH_DXEyyPkUSVu8nKgP02kF6UIx_USi6U5Rk,282
torchtitan/rl/examples/verifiers/data.py,sha256=azpukNFg6v4T2yNwsN1ZiZOWDoGkDQ3xUITA6WXWmxM,3924
torchtitan/rl/examples/verifiers/env_server.py,sha256=A4OrJQTJsVrJGIX9VohvoUhCseiQhlKTC9omnn_WX1A,7384
torchtitan/rl/examples/verifiers/generation_server.py,sha256=-PCHqCQI2kFXPxlnTYTyKajPoiK-H2GUyoFWyArY5EY,14348
torchtitan/rl/examples/verifiers/rollouter.py,sha256=KU3QKZDPS3uAQ5I33QaYR_HEosPfx8YMFMJIZPCSJ3Y,25739
torchtitan/rl/examples/verifiers/worker_setup.py,sha256=naxNCJlInIOskZ0Fc_RdbW06rASBYMYTF9A4IHlp0yo,2093
torchtitan/rl/examples/verifiers/dapo_math/__init__.py,sha256=7qzccLzZ6loSlMwR-qnu8a78wT8bqK8En3LCGOjm6s4,272
torchtitan/rl/examples/verifiers/dapo_math/data.py,sha256=B_qrZBRT6uA8hYj6foVoCJ2Dn472leUiNeH9GOleyig,2480
torchtitan/rl/examples/verifiers/terminal_bench/__init__.py,sha256=MFSu39QCYLJJ4xwcSEI-WR-JnYA3Tjj6prqvC9m3dBo,288
torchtitan/rl/examples/verifiers/terminal_bench/harness.py,sha256=8f-VUffKuRWMWYD0tAILyajZwmVoox3r1Kp-W4AgsI4,6100
torchtitan/rl/examples/verifiers/terminal_bench/prepare_tmax.py,sha256=TUaGQhtQe03mqprquCKjGtS8A6eujKZjQ-MNCzWar5A,8596
torchtitan/rl/examples/verifiers/terminal_bench/taskset.py,sha256=XsJ0rmIbSWIAHv4ElJodvp9EHICGDQZubVUzk8VA9yo,1326
torchtitan/rl/examples/verifiers/terminal_bench/terminus_harness.py,sha256=LNGuN3gMemoc4DpnirWrpUfDhSV8IrZRetNVz2DoQpw,4478
torchtitan/rl/generator/__init__.py,sha256=9N7FS2BnMGrwDp9kPg0i_sJKCcNlqO3RD8P0jbRJcqQ,274
torchtitan/rl/generator/dispatcher.py,sha256=YXDxLs1zr5Nm-Ofsw9lDO4Q1yRqxnHK4p3JlCMbe-YA,18335
torchtitan/rl/generator/engine.py,sha256=h8w-KWPr58h9_eaqGtdTqXrDzhhib5MtbvZr7ZBvv98,5436
torchtitan/rl/generator/engine_loop.py,sha256=AmrP403e7-BpYUrCoQ4qF1AYINDiYKXtiv4ML-idTI4,34495
torchtitan/rl/generator/generator.py,sha256=ukJrQJVMNy9I2dg4-eGqOOgU8fbo4oIH9TtUNKueCvQ,24764
torchtitan/rl/generator/model.py,sha256=eOSEYRVc1qWkKVrJlEg_rZhn91QENcjE8Lo3Dh73CtI,29266
torchtitan/rl/generator/parallelism.py,sha256=dgSuzCw2n97AaNj7YgoDU7EecIc5T9Hy83CKC5gm6NA,1897
torchtitan/rl/generator/types.py,sha256=mMyrEkEYJy87fVxuQXrkknzTl_yQ8WJPbiy_dKp_HK8,4281
torchtitan/rl/generator/attention/__init__.py,sha256=RHhhJM91e11VarEjafdh5EtA79PypZtIlCp7y2ECuoY,310
torchtitan/rl/generator/attention/attention.py,sha256=RdgAvpJ4G_GqTHpeiHFnkxPjVrU2JN2qGGzGxRkpfrc,4275
torchtitan/rl/generator/attention/gdn.py,sha256=hXOgYnmFF2bFqjL2F4l4I0yJiePSkday2NlH7clHJEc,3979
torchtitan/rl/generator/attention/kda.py,sha256=4AsVAW0cI7BzSVULtzbCJV-cTmScnWdWOCJjMq5l_l4,3607
torchtitan/rl/generator/sglang/__init__.py,sha256=MUD4wH6_1Her_W8EGMRIwjhSU8SAr73wQsip8cV4bJY,288
torchtitan/rl/generator/sglang/batch_invariance.py,sha256=KY5p890q5AzXxpa9GY3kbsjHWavue9vk5xkJZThLBV4,2633
torchtitan/rl/generator/sglang/engine.py,sha256=Aneiakr8tRbLkNQcDv8IDu982FqLoNpX7u93HHQ8KsY,43783
torchtitan/rl/generator/sglang/model_wrapper.py,sha256=Lwp8-fDZlZZormQK_umNcTSZZs0N1cj1egoUf7muya0,18113
torchtitan/rl/generator/sglang/registry.py,sha256=Zo0zF291pbM4HzvrYHwIKiSUu4UxoNFfr4j-QcpxTX4,13787
torchtitan/rl/generator/sglang/attention/__init__.py,sha256=3J2aGLxHCwAXK6CSDQ7U6DyrkS5iL-xw4XdYvcJLQQU,292
torchtitan/rl/generator/sglang/attention/attention.py,sha256=gXwdljYHjc1TVtvJ5Z-JdmOz0zVCn4v_7-xoBqtSetA,11591
torchtitan/rl/generator/sglang/attention/gdn.py,sha256=FAMvsWHD8QR2F6X1rm54DFA9rG87CUmcvmVm1MAFrgU,9536
torchtitan/rl/generator/sglang/attention/kda.py,sha256=AtY9DEnc-WyQw0rvJw5V1dKJQ3BZpEE6HYzgV9TtsLs,11794
torchtitan/rl/generator/sglang/attention/linear_attention.py,sha256=bVu6_Hsh5Dt4TcSTsynAGK-G6AM9-2Xb5D17CIopvUU,6375
torchtitan/rl/generator/vllm/__init__.py,sha256=Ws33S6wyQHy07kokDIOQDTPNvVjrXSpbNiKwR0S8qUA,286
torchtitan/rl/generator/vllm/batch_invariance.py,sha256=Xna2w9YHDPTEvP9k214QLuVeM76JxRvJNfbat3lYscU,2838
torchtitan/rl/generator/vllm/config.py,sha256=374InX025dN0SPmAJzhZMI8tqYvRHKYn7rXirK3RXrU,9282
torchtitan/rl/generator/vllm/engine.py,sha256=akpl3QV9lbi2WRFPfP9OfJPwKefofG87hM6RCSbfUMs,29932
torchtitan/rl/generator/vllm/model_wrapper.py,sha256=Ick7lokaqNz62LXNFSBuoYeleUSQiW3ToqCclPznYxc,22329
torchtitan/rl/generator/vllm/multimodal_wrapper.py,sha256=bl-B5My0umfHETfebiUJESmha-cRmVP357MgECftHgk,20678
torchtitan/rl/generator/vllm/registry.py,sha256=4vZaic9h-3w-L4CV9jP86InzEBNRfCZ_CDyC5NwSdHI,17236
torchtitan/rl/generator/vllm/session_kv_holder.py,sha256=zsmq3GS48l1nBgiL5V6XWSEQGwDJVt-gmMIsKQUkCLk,9925
torchtitan/rl/generator/vllm/stat_logger.py,sha256=tofyPMhViiQ32PFCI0Jc4VsqT8Pj5dURDg5K6_s2gg4,15189
torchtitan/rl/generator/vllm/worker.py,sha256=o0pGSKC0ziHyXCx8AzNkZ44QRY6bBX-_PtkqQBQFvc8,10359
torchtitan/rl/generator/vllm/attention/__init__.py,sha256=qEKrKA9Pbr5qoD9etmKqVMLqPPxYT-mhQFdIqCznu8E,301
torchtitan/rl/generator/vllm/attention/attention.py,sha256=qeffNjeA6pFZLMok-w1Ig8DOXSu9GPF6zYfEpYk_MMc,21825
torchtitan/rl/generator/vllm/attention/gdn.py,sha256=ek9m-atPfnEAzVs8aVsnPS1srdAh1DpN0fncy-7F48k,17721
torchtitan/rl/generator/vllm/attention/kda.py,sha256=5IlBAICU9Q9rPIu5ZVQk1Rr0XjXgubugSvHAKY3Xgu8,12650
torchtitan/rl/generator/vllm/attention/linear_attention.py,sha256=5WjlorOj3C-UZSHSYUccMT0FrfmEiruBm-EKqul47Eo,16387
torchtitan/rl/generator/vllm/attention/mla.py,sha256=1jtu1lz3-zRl3fT3JlQCM_HnVePLXn-I6vskgdfsXhQ,15804
torchtitan/rl/observability/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan/rl/observability/metrics/__init__.py,sha256=r9FsfMlk1-_z-foS5hf7upEznu1Oqt45mKV3ut9WFe0,729
torchtitan/rl/observability/metrics/console.py,sha256=VJZmlStzB9_oxAXIs-kEyHhZsb8gk_SoTrwlolfgbgs,4296
torchtitan/rl/observability/metrics/processor.py,sha256=AvMKCX33iMKBpJ-lccL4-ndaDo_1Q4OmFECndWeEkqo,8274
torchtitan/rl/observability/metrics/types.py,sha256=Dtnlrfrjt83hwPQKwrc3I6Rc1VgicQNd18T4RaMC2tU,14320
torchtitan/rl/rollout/__init__.py,sha256=HngZ1jvHxfvUQ0f_O7aSWjMP2q1-QQGd8Y9y4UY4lwo,743
torchtitan/rl/rollout/advantage.py,sha256=5JqVRMNmBK0ULyiKz39pBYINEVKqXKSju2UZwko9VfA,1758
torchtitan/rl/rollout/data.py,sha256=da4xAZ_rGDMqywVRLZdrRYr71xBQmLw0Spn5v8Bgsp4,8575
torchtitan/rl/rollout/message_env.py,sha256=tWfJRQTY8phCmMY3DdcshVBMEgjRj7hwfypGtxyxK8g,4229
torchtitan/rl/rollout/recorder.py,sha256=4sl4CjhmDftIhdAfRburTZNH7IVh9MfxgNediq4xVZM,8971
torchtitan/rl/rollout/rollouter.py,sha256=ib49Z1GOm49KFecMNgoPYJ_CYZCNYMQE1WYgIYMuq_4,23384
torchtitan/rl/rollout/rubric.py,sha256=8jLkkYl6Wd6rzqT4El4TmxccOJ4UZvj7Plt4h7PEuJ8,6752
torchtitan/rl/rollout/token_env.py,sha256=jol3Q69hQFNXjtUHwjgpra2gZqCU2gdaxyWBnUUT5Fo,19345
torchtitan/rl/rollout/types.py,sha256=t46WN_jLN6ECXb0PexDWSRVUlGHmGFg-IdOt4w0cVyM,17087
torchtitan/rl/routing/__init__.py,sha256=PvrFLCdcRsGxQH-mWOkj6V6tQPjbQUq2z0brR6XZxrM,878
torchtitan/rl/routing/inter_generator.py,sha256=kA3i7dyF1Afrp9P_pFYHHQHUN-a8T1vAdilyTDiX-vI,11925
torchtitan/rl/routing/intra_generator.py,sha256=soSM3WxZxAMUtSf_UDvImFQB2uUCYlaQ6utJwdW8bsw,3795
torchtitan/rl/routing/strategies.py,sha256=QHC7xkkdAH1pWW00mkKKM5BMH9Cofm4C_364S01ZqXE,9709
torchtitan/rl/routing/types.py,sha256=VvXUFIN4Drp5cg5khHNGyDooPDP4pSb1MUPDvLyWpVE,1426
torchtitan/rl/trainer/__init__.py,sha256=2UsUYvckKsAa-N3KWbOES1kWq5ie15_L0CT7uMqCyCg,263
torchtitan/rl/trainer/batcher.py,sha256=E5sCTgzCieOKDLVPIWWoV5BWj_fvV9JoSCTNDwgt5Js,54689
torchtitan/rl/trainer/rdma_microbatch.py,sha256=6OKaiTwgDbcmUy0h7AG6JxXK3W2UpOhRfrZWUsIw1_o,5343
torchtitan/rl/trainer/trainer.py,sha256=liHATR16CLxPt1kNlzmDVvkhQzPsxThA5DOc9Zf-YIQ,22072
torchtitan/rl/trainer/training_sample_builder.py,sha256=xZ0NWwPoVNtHtk2B-0d9w0sCs-bfDEf3qJ3jsENRk2w,21943
torchtitan/rl/trainer/losses/__init__.py,sha256=pnOymuy_hjj9lbRix6rhnhmbgjQNJR47uelIQ7D6SaU,355
torchtitan/rl/trainer/losses/dapo.py,sha256=lxIJj0FSbzH1yg6_k4tSw93DVxX84Wch_thtWS4C27M,7190
torchtitan/rl/trainer/losses/grpo.py,sha256=0otgKSCKLf4g-ei7MPKguOilxtXLHJm1UixFvwLk0R8,1322
torchtitan/tools/filesystem.py,sha256=Pe45glw0hO9kTKvOTIljzXp6CrujXr0doeILHiFPYqc,3769
torchtitan/tools/garbage_collector.py,sha256=6wqnbfWN4FRzfdSXLt1LfDFQkGP8Ef4sahj9j72k00o,2823
torchtitan/tools/utils.py,sha256=-2KHYIym_858twCpXCe3iF39mK3aLlkaED_IKDk4J6M,12913
torchtitan-0.1.0.dev20261112+cu132.dist-info/licenses/LICENSE,sha256=buowmVlBEmvuuZ73dfCWjtgyC-tINK0o1q5nBKGpKTA,1495
torchtitan_recipes/__init__.py,sha256=aKd4knqb30ZACzt1IaR9V4dnF8dRLo6oCxpynw-Pmms,251
torchtitan_recipes/data.py,sha256=AVJm4LY05nJzCOwxk025Qi2VvrlIBbTBVgoBYlM0NM4,863
torchtitan_recipes/decision/__init__.py,sha256=iXRvMsX6811o_L3ILWHGdZQYh5875rV2HysLqyWRTlg,263
torchtitan_recipes/decision/evaluate.py,sha256=nJUo7BekoTWJkYqQe66ZF0hw4DqdZ5gyNvqDTNHBU0o,5963
torchtitan_recipes/decision/prepare_data.py,sha256=V5c_H4iNYvrqSPcVQ_Zld8-nZmxs0crGLXWXWzkkKNM,4044
torchtitan_recipes/decision/qwen3.py,sha256=BlbZr68uunYSVqOaDEE2LNpZmCGBh3Jpu83U2IEUdcY,8368
torchtitan_recipes/graph_trainer/__init__.py,sha256=qzkOV4vyqO2Yy0KcLNEWmOt_ndtuJf7EmCQ7ndqv1iM,246
torchtitan_recipes/graph_trainer/deepseek_v3.py,sha256=FCRqAIZJM6_Pa5ATwUr3Q8L76iGZEtPbdGI9kM06b1s,1668
torchtitan_recipes/graph_trainer/llama3.py,sha256=nBtvX5qXpIzqF7sRl5W_qx6tEr82aw2epunZkcoRUYw,1777
torchtitan_recipes/graph_trainer/qwen3.py,sha256=risMh2D8jo61ctmTj5otVZzl6jjvSt0U8SaSD_IIrO4,813
torchtitan_recipes/models/__init__.py,sha256=67RseG0lWN7ikB0gf-vnRSzAtaKn0NziZcZtRPHmmDQ,248
torchtitan_recipes/models/deepseek_v3.py,sha256=0JKJ8fFfByXHtBBx3izmPusvWyjIyGO4gCf_xCSM1jk,10397
torchtitan_recipes/models/flux.py,sha256=AqAiaF3sQfnv5mYntQFuXlRDFBsOruSElcliTpZ27Mk,4759
torchtitan_recipes/models/llama3.py,sha256=K0xCnsHrab9eTfc_8iFCIlQBqfqPEP1qgYK0TVuZ2wE,4405
torchtitan_recipes/models/muse_glimmer.py,sha256=SNHirh1QT-Ekc2343n0iaDr8wepr9N4ZRd5jtu0CxAo,6016
torchtitan_recipes/models/muse_spark.py,sha256=kypxND9ZedtIF5m6fiFeEmCuYA4nSMoycn5keE2qKFE,29443
torchtitan_recipes/models/qwen3.py,sha256=wASpqsXr7mFyL4lRzJ_SLUnGx0Kh-y9P471OPJcWMXM,2310
torchtitan_recipes/overrides/__init__.py,sha256=DQycKUWiAYobNgapwo1oa-8deu2NJ9HJPHNs8xSB4Ss,736
torchtitan_recipes/overrides/fused_mla.py,sha256=S1nduI1crvSX1nSzEpm5XfyrWVkwO-hle6xz8ZlYWY4,39431
torchtitan_recipes/overrides/fused_swiglu.py,sha256=SYxDrYTY60XFQedVSi1_bVk2CdXeKzAWJ7Ho-i6O46o,11630
torchtitan_recipes/overrides/higher_precision_rms_norm.py,sha256=S0BDbfyUSPXNmmxmxn_IBVgJ2AQo2etOsU3bHj6TGts,21863
torchtitan_recipes/overrides/kimi_attention_residual.py,sha256=iXm-V8gzAlUWCkOpXSVtikR7HZU1DymZRMwXiAPGk28,24686
torchtitan_recipes/rl/__init__.py,sha256=j-hVacE8aJcNAk7wVlLVy6PS2zeKc9tfTJMJ4GMbUtA,256
torchtitan_recipes/rl/alphabet_sort.py,sha256=sfEIBPNZ-rOV5cTETrMPFfhBqQjjMTcwVgwXNeUIB8I,37223
torchtitan_recipes/rl/dapo_math.py,sha256=0L_9HA3-zfAZcjk9LO0jD0rF6H-OIG-JHhCUOPdoQ2o,20854
torchtitan_recipes/rl/geometry3k.py,sha256=T0HppSo3Ww1UhffM7-rTk9DU0hQ96GR7Ztz3Q9COY24,6338
torchtitan_recipes/rl/model_configs.py,sha256=_g2nhSWpd0QcPXYrTL_vNkhd5rnCBt1ZPhHNnD5V_wA,2616
torchtitan_recipes/rl/search_r1.py,sha256=mnBzDvD7hUYdxsqaI_OMhnOdoxHR4B_SW03pTrs-Opg,18524
torchtitan_recipes/rl/verifiers_dapo_math.py,sha256=fpVLIJGLZK_bD9RikU5EzIEBzKyTPgxkjP9lhKfy9ac,8065
torchtitan_recipes/rl/verifiers_terminal_bench.py,sha256=Bg-S8q8avUkPG9saC2J5ZIXhs4ZdcZhXJgXIqY7PvWQ,20273
torchtitan_recipes/sft/__init__.py,sha256=0KvhZXzm6GnS6fVwa4Q4LgIvQ-XlBcwfQpEhM8KuOCw,256
torchtitan_recipes/sft/slake.py,sha256=-oRITEOL4K3JYCSxarGiBP26X60tKeyKdANwWmVrQQo,16560
torchtitan_recipes/tests/__init__.py,sha256=jPkbz5mfNXSdXORZm22rM-SQG49xcTr-_4I_A3yok4c,1137
torchtitan_recipes/tests/transformers_modeling_backend.py,sha256=w1MxpZotzCt3rGEnyaQk7ECRXjLwbArfRiF9bOBM0uA,9100
torchtitan_recipes/tests/datasets/__init__.py,sha256=OFA4-VitbPdDIzlV381iR1lJsTKsdbbw2K0DmNS1L-E,260
torchtitan_recipes/tests/datasets/synthetic_multimodal.py,sha256=kQpAWR8-H7Z7ceNV_mlzAgl9y-pg0hNZSqQNZ80zwoA,5239
torchtitan_recipes/tests/graph_trainer/__init__.py,sha256=pTAhvB5nIAfdZWLAcXwiAJDJn05QhiABT289L0Ca2fY,258
torchtitan_recipes/tests/graph_trainer/b200.py,sha256=3SbHLBr1HcoKwR4m_ttCOKfYKcSdcxfu9JJKMNIb180,1606
torchtitan_recipes/tests/graph_trainer/deepseek_v3.py,sha256=rgYa4A8zO1YOL1Imq90ILaCeEJTEV753NOv7cMv_Gz0,5019
torchtitan_recipes/tests/graph_trainer/gpt_oss.py,sha256=xyyvLvRIKZX7kGhbG8HpDzfxWcxQ4m5X6V474V2Ygt0,1356
torchtitan_recipes/tests/graph_trainer/llama3.py,sha256=skmWDKk4Unwy2UlRynTlFNWh5DwtY9BUeimC8EmLan4,3323
torchtitan_recipes/tests/graph_trainer/muse_glimmer.py,sha256=XI3Ba3CYEtGYQEXmD4b-B7xsqi5NmOPFK__QA84GGMA,1189
torchtitan_recipes/tests/graph_trainer/numerics.py,sha256=ISdELbB-v_qakrz5DOd_A9kLyxEYisqXT003rMbeqXs,13255
torchtitan_recipes/tests/graph_trainer/precompile.py,sha256=I5IoLNyEjqY5FT12prBKIbJwMbG1NWDmzHuujK5hfrM,1388
torchtitan_recipes/tests/graph_trainer/qwen3.py,sha256=AnpH7f3qZa4WfLDkzcN03r-x9sIZRTXbF0-bpUK98lU,1360
torchtitan_recipes/tests/models/__init__.py,sha256=M0TJdkkgWSU2U-qlDm1bwpaQn7-2VP1_lj5Zdx-Jwrs,251
torchtitan_recipes/tests/models/deepseek_v3.py,sha256=8F2LSiQuQIUQGGv2XSvBUZiywuzDVHp05pTMVqXdHQk,18944
torchtitan_recipes/tests/models/deepseek_v4.py,sha256=fZQ974MRMetUYD66lZP7RltnkLKCf0mcZC0CC4jXO0w,19032
torchtitan_recipes/tests/models/flux.py,sha256=I3CXYKJULSgsPCu-qfK86S0i0ZEtPYrBdMTlhLK_6fc,7820
torchtitan_recipes/tests/models/gpt_oss.py,sha256=2Bv5yTHHPkGFSkOvp9MjPWxjUo68fpFrJCDULGo43wQ,3344
torchtitan_recipes/tests/models/kimi_k2_7.py,sha256=cTwrcTEHtXiFtpnrMC2eBhnCZTalzQ-sFGjLnKPDbyU,19838
torchtitan_recipes/tests/models/kimi_k3.py,sha256=9Y0dBHwSWpZSTM_P1xRe9mVO_RLWzM7WF0nyZBGOl_0,13545
torchtitan_recipes/tests/models/llama3.py,sha256=oki7fY6bcrMEKBSR_VlOj3rS8KU9rANnL5426AV4U_k,13627
torchtitan_recipes/tests/models/multimodal.py,sha256=TGvx8zYUKeduNWGLYpj6y-RDTlD-1mgyP-5GZDU3xic,2523
torchtitan_recipes/tests/models/muse_glimmer.py,sha256=qst0kLbi-28gFH_QDXU83_mULH_QRoHYzO6ENAkg0Ts,9847
torchtitan_recipes/tests/models/muse_spark.py,sha256=D3ncbM0VmhmkRd18qs_lv52X7b-Is84CE1MIA09UOVE,11696
torchtitan_recipes/tests/models/qwen3.py,sha256=_RTTvJfrG0wB3jPSjmI1G_XN2vIefYGMAaVkEb6mkW8,24650
torchtitan_recipes/tests/models/qwen3_5.py,sha256=wtwr7LNLTnog-Huk7XOCVA1x_HGG31-LJM4TsZxFuXA,6393
torchtitan_recipes/tests/models/qwen3_6.py,sha256=jnchn53wdxUl1B3nMHeEPVRoLMI6Pw1VYaRVtvavAPA,8176
torchtitan_recipes/tests/models/qwen3_8.py,sha256=ODYn3G6QadjTEW2mAzP2UObiltmDwsEIOCkDvw71pXI,8344
torchtitan_recipes/tests/rl/__init__.py,sha256=Md3cCHD7Ano9kV15PqGbicgUO-RMdh4aVy1yKiDt_xE,208
torchtitan_recipes/tests/rl/alphabet_sort.py,sha256=ZyK5v2FFkch-BRkI4GuON3M7_mdYOxppaYhnYgA46jc,43051
torchtitan_recipes/tests/torchft/__init__.py,sha256=wyOq6fPvMrVH6osysOZwZ3Pwm9PfPWV10_MEemZWG6I,253
torchtitan_recipes/tests/torchft/llama3.py,sha256=CtriXQJ_2S6cRWLWbzM0B6xYVdzj1TppQstQMQRAUpI,3695
torchtitan_recipes/torchft/__init__.py,sha256=6JmEe1bXeaPsPTnC3TaV_WhlHYaISpiu51mw2LX8Q04,241
torchtitan_recipes/torchft/llama3.py,sha256=lMqWwwnVAlN8pHkMKHLpeyuRzhdmgd7SNpOImfmdOR4,3584
torchtitan-0.1.0.dev20261112+cu132.dist-info/METADATA,sha256=_yUg8kOJ7d5xgzjXCBHBDDtPMV-0yvYVrDqRZI-vlhU,19798
torchtitan-0.1.0.dev20261112+cu132.dist-info/WHEEL,sha256=mOdXR9C3wMVov7cSY8PY-XCzo3SmmWCHvGQr5csJoao,91
torchtitan-0.1.0.dev20261112+cu132.dist-info/top_level.txt,sha256=euT9ZoV3pnyOwvvf__P_Gkym86EkpCLH00zEAB9VdX4,30
torchtitan-0.1.0.dev20261112+cu132.dist-info/RECORD,,
