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[zerobubble] rebase main (#6075)
* fp8 operators for compressed communication cast_to_fp8, cast_from_fp8, all_reduce_fp8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo * fix scaling algorithm in FP8 casting * support fp8 communication in pipeline parallelism * add fp8_communication flag in the script * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * shardformer fp8 * fix rebase * remove all to all * fix shardformer fp8 communication training degradation * [fp8] support all-gather flat tensor (#5932) * [fp8] add fp8 comm for low level zero * [test] add zero fp8 test case * [Feature] llama shardformer fp8 support (#5938) * add llama shardformer fp8 * Llama Shardformer Parity * fix typo * fix all reduce * fix pytest failure * fix reduce op and move function to fp8.py * fix typo * [FP8] rebase main (#5963) * add SimPO * fix dataloader * remove debug code * add orpo * fix style * fix colossalai, transformers version * fix colossalai, transformers version * fix colossalai, transformers version * fix torch colossalai version * update transformers version * [shardformer] DeepseekMoE support (#5871) * [Feature] deepseek moe expert parallel implement * [misc] fix typo, remove redundant file (#5867) * [misc] fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] deepseek support & unit test * [misc] remove debug code & useless print * [misc] fix typos (#5872) * [Feature] remove modeling file, use auto config. (#5884) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [Deepseek] remove redundant code (#5888) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [Feature/deepseek] resolve comment. (#5889) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [misc] mv module replacement into if branch * [misc] add some warning message and modify some code in unit test * [misc] fix typos --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838) * Diffusion Model Inference support * Stable Diffusion 3 Support * pixartalpha support * [HotFix] CI,import,requirements-test for #5838 (#5892) * [Hot Fix] CI,import,requirements-test --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] Enable PP + SP for llama (#5868) * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use a one cross entropy func for all shardformer models --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897) * add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint * fix style * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix eval * hotfix citation * [zero] support all-gather overlap (#5898) * [zero] support all-gather overlap * [zero] add overlap all-gather flag * [misc] fix typo * [zero] update api * fix orpo cross entropy loss * [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446) * Remove unnecessary calls to deepcopy * Build DimSpec's difference dict only once This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough. * Fix documentation of DimSpec's difference method * [ShardFormer] fix qwen2 sp (#5903) * [compatibility] support torch 2.2 (#5875) * Support Pytorch 2.2.2 * keep build_on_pr file and update .compatibility * fix object_to_tensor usage when torch>=2.3.0 (#5820) * [misc] support torch2.3 (#5893) * [misc] support torch2.3 * [devops] update compatibility ci * [devops] update compatibility ci * [devops] add debug * [devops] add debug * [devops] add debug * [devops] add debug * [devops] remove debug * [devops] remove debug * [release] update version (#5912) * [plugin] support all-gather overlap for hybrid parallel (#5919) * [plugin] fixed all-gather overlap support for hybrid parallel * add kto * fix style, add kto data sample * [Examples] Add lazy init to OPT and GPT examples (#5924) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [ColossalChat] Hotfix for ColossalChat (#5910) * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * fix ddp issue * add Qwen 1.5 32B * refactor tokenization * [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931) * cannot access local variable 'default_conversation' where it is not associated with a value set default value for 'default_conversation' * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix test data * refactor evaluation * remove real data path * remove real data path * Add n_fused as an input from native_module (#5894) * [FIX BUG] convert env param to int in (#5934) * [Hotfix] Fix ZeRO typo #5936 Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941) * Add a switch to control whether the model checkpoint needs to be saved after each epoch ends * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix style * fix style * fix style * [shardformer] hotfix attn mask (#5945) * [shardformer] hotfix attn mask (#5947) * [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895) * Distrifusion Support source * comp comm overlap optimization * sd3 benchmark * pixart distrifusion bug fix * sd3 bug fix and benchmark * generation bug fix * naming fix * add docstring, fix counter and shape error * add reference * readme and requirement * [zero] hotfix update master params (#5951) * [release] update version (#5952) * [Chat] Fix lora (#5946) * fix merging * remove filepath * fix style * Update README.md (#5958) * [hotfix] Remove unused plan section (#5957) * remove readme * fix readme * update * [test] add mixtral for sequence classification * [test] add mixtral transformer test * [moe] fix plugin * [test] mixtra pp shard test * [chore] handle non member group * [zero] solve hang * [test] pass mixtral shardformer test * [moe] implement transit between non moe tp and ep * [zero] solve hang * [misc] solve booster hang by rename the variable * solve hang when parallel mode = pp + dp * [moe] implement submesh initialization * [moe] add mixtral dp grad scaling when not all experts are activated * [chore] manually revert unintended commit * [chore] trivial fix * [chore] arg pass & remove drop token * [test] add mixtral modelling test * [moe] implement tp * [moe] test deepseek * [moe] clean legacy code * [Feature] MoE Ulysses Support (#5918) * moe sp support * moe sp bug solve * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [chore] minor fix * [moe] init moe plugin comm setting with sp * moe sp + ep bug fix * [moe] finalize test (no pp) * [moe] full test for deepseek and mixtral (pp + sp to fix) * [chore] minor fix after rebase * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [chore] solve moe ckpt test failure and some other arg pass failure * [moe] remove ops * [test] fix test: test_zero1_2 * [bug] fix: somehow logger hangs the program * [moe] deepseek moe sp support * [test] add check * [deepseek] replace attn (a workaround for bug in transformers) * [misc] skip redunant test * [misc] remove debug/print code * [moe] refactor mesh assignment * Revert "[moe] implement submesh initialization" This reverts commit2f9bce6686. * [chore] change moe_pg_mesh to private * [misc] remove incompatible test config * [misc] fix ci failure: change default value to false in moe plugin * [misc] remove useless condition * [chore] docstring * [moe] remove force_overlap_comm flag and add warning instead * [doc] add MoeHybridParallelPlugin docstring * [moe] solve dp axis issue * [chore] remove redundant test case, print string & reduce test tokens * [feat] Dist Loader for Eval (#5950) * support auto distributed data loader * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support auto distributed data loader * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix tp error * remove unused parameters * remove unused * update inference * update docs * update inference --------- Co-authored-by: Michelle <qianranma8@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [lora] lora support hybrid parallel plugin (#5956) * lora support hybrid plugin * fix * fix * fix * fix * fp8 operators for compressed communication cast_to_fp8, cast_from_fp8, all_reduce_fp8 * fix scaling algorithm in FP8 casting * support fp8 communication in pipeline parallelism * add fp8_communication flag in the script * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * shardformer fp8 * fix rebase * remove all to all * fix shardformer fp8 communication training degradation * [fp8] support all-gather flat tensor (#5932) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * Update low_level_optim.py --------- Co-authored-by: YeAnbang <anbangy2@outlook.com> Co-authored-by: Haze188 <haze188@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: Runyu Lu <77330637+LRY89757@users.noreply.github.com> Co-authored-by: Guangyao Zhang <xjtu521@qq.com> Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: Stephan Kö <stephankoe@users.noreply.github.com> Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: zhurunhua <1281592874@qq.com> Co-authored-by: Insu Jang <insujang@umich.edu> Co-authored-by: Gao, Ruiyuan <905370712@qq.com> Co-authored-by: hxwang <wang1570@e.ntu.edu.sg> Co-authored-by: Michelle <qianranma8@gmail.com> Co-authored-by: Wang Binluo <32676639+wangbluo@users.noreply.github.com> Co-authored-by: HangXu <hangxu0304@gmail.com> * [fp8]support all2all fp8 (#5953) * support all2all fp8 * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [fp8] add fp8 linear (#5967) * [fp8] add fp8 linear * [test] fix fp8 linear test condition * [test] fix fp8 linear test condition * [test] fix fp8 linear test condition * [fp8] support fp8 amp for hybrid parallel plugin (#5975) * [fp8] support fp8 amp for hybrid parallel plugin * [test] add fp8 hook test * [fp8] fix fp8 linear compatibility * fix (#5976) * [Feature]: support FP8 communication in DDP, FSDP, Gemini (#5928) * support fp8_communication in the Torch DDP grad comm, FSDP grad comm, and FSDP params comm * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * implement communication hook for FSDP params all-gather * added unit test for fp8 operators * support fp8 communication in GeminiPlugin * update training scripts to support fsdp and fp8 communication * fixed some minor bugs observed in unit test * add all_gather_into_tensor_flat_fp8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add skip the test if torch < 2.2.0 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add skip the test if torch < 2.2.0 * add skip the test if torch < 2.2.0 * add fp8_comm flag * rebase latest fp8 operators * rebase latest fp8 operators * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [test ci]Feature/fp8 comm (#5981) * fix * fix * fix * [fp8] support gemini plugin (#5978) * [fp8] refactor hook * [fp8] support gemini plugin * [example] add fp8 option for llama benchmark * [fp8] use torch compile (torch >= 2.3.0) (#5979) * [fp8] use torch compile (torch >= 2.4.0) * [fp8] set use_fast_accum in linear * [chore] formal version check * [chore] fix sig * [fp8]Moe support fp8 communication (#5977) * fix * support moe fp8 * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix fix fi * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [fp8] support hybrid parallel plugin (#5982) * support fp8 comm for qwen2 model * support fp8 comm for qwen2 model * support fp8 comm for qwen2 model * fp8 * fix * bert and bloom * chatglm and command * gpt2,gptj,bert, falcon,blip2 * mistral,opy,sam,t5,vit,whisper * fix * fix * fix * [fp8] refactor fp8 linear with compile (#5993) * [fp8] refactor fp8 linear with compile * [fp8] fix linear test * [fp8] fix linear test * [fp8] support asynchronous FP8 communication (#5997) * fix * fix * fix * support async all2all * support async op for all gather * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [fp8] update torch.compile for linear_fp8 to >= 2.4.0 (#6004) * [fp8] linear perf enhancement * [fp8]update reduce-scatter test (#6002) * fix * fix * fix * fix * [fp8] add use_fp8 option for MoeHybridParallelPlugin (#6009) * [fp8] zero support fp8 linear. (#6006) * fix * fix * fix * zero fp8 * zero fp8 * Update requirements.txt * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix the merge * fix the merge * fix the merge * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix the merge * fix * fix * fix the merge * fix * fix * fix * fix * fix * fix the merge * fix * fix * fix * fix * [fp8] Merge feature/fp8_comm to main branch of Colossalai (#6016) * add SimPO * fix dataloader * remove debug code * add orpo * fix style * fix colossalai, transformers version * fix colossalai, transformers version * fix colossalai, transformers version * fix torch colossalai version * update transformers version * [shardformer] DeepseekMoE support (#5871) * [Feature] deepseek moe expert parallel implement * [misc] fix typo, remove redundant file (#5867) * [misc] fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] deepseek support & unit test * [misc] remove debug code & useless print * [misc] fix typos (#5872) * [Feature] remove modeling file, use auto config. (#5884) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [Deepseek] remove redundant code (#5888) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [Feature/deepseek] resolve comment. (#5889) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [misc] mv module replacement into if branch * [misc] add some warning message and modify some code in unit test * [misc] fix typos --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838) * Diffusion Model Inference support * Stable Diffusion 3 Support * pixartalpha support * [HotFix] CI,import,requirements-test for #5838 (#5892) * [Hot Fix] CI,import,requirements-test --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] Enable PP + SP for llama (#5868) * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use a one cross entropy func for all shardformer models --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897) * add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint * fix style * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix eval * hotfix citation * [zero] support all-gather overlap (#5898) * [zero] support all-gather overlap * [zero] add overlap all-gather flag * [misc] fix typo * [zero] update api * fix orpo cross entropy loss * [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446) * Remove unnecessary calls to deepcopy * Build DimSpec's difference dict only once This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough. * Fix documentation of DimSpec's difference method * [ShardFormer] fix qwen2 sp (#5903) * [compatibility] support torch 2.2 (#5875) * Support Pytorch 2.2.2 * keep build_on_pr file and update .compatibility * fix object_to_tensor usage when torch>=2.3.0 (#5820) * [misc] support torch2.3 (#5893) * [misc] support torch2.3 * [devops] update compatibility ci * [devops] update compatibility ci * [devops] add debug * [devops] add debug * [devops] add debug * [devops] add debug * [devops] remove debug * [devops] remove debug * [release] update version (#5912) * [plugin] support all-gather overlap for hybrid parallel (#5919) * [plugin] fixed all-gather overlap support for hybrid parallel * add kto * fix style, add kto data sample * [Examples] Add lazy init to OPT and GPT examples (#5924) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [ColossalChat] Hotfix for ColossalChat (#5910) * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * fix ddp issue * add Qwen 1.5 32B * refactor tokenization * [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931) * cannot access local variable 'default_conversation' where it is not associated with a value set default value for 'default_conversation' * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix test data * refactor evaluation * remove real data path * remove real data path * Add n_fused as an input from native_module (#5894) * [FIX BUG] convert env param to int in (#5934) * [Hotfix] Fix ZeRO typo #5936 Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941) * Add a switch to control whether the model checkpoint needs to be saved after each epoch ends * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix style * fix style * fix style * [shardformer] hotfix attn mask (#5945) * [shardformer] hotfix attn mask (#5947) * [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895) * Distrifusion Support source * comp comm overlap optimization * sd3 benchmark * pixart distrifusion bug fix * sd3 bug fix and benchmark * generation bug fix * naming fix * add docstring, fix counter and shape error * add reference * readme and requirement * [zero] hotfix update master params (#5951) * [release] update version (#5952) * [Chat] Fix lora (#5946) * fix merging * remove filepath * fix style * Update README.md (#5958) * [hotfix] Remove unused plan section (#5957) * remove readme * fix readme * update * [test] add mixtral for sequence classification * [test] add mixtral transformer test * [moe] fix plugin * [test] mixtra pp shard test * [chore] handle non member group * [zero] solve hang * [test] pass mixtral shardformer test * [moe] implement transit between non moe tp and ep * [zero] solve hang * [misc] solve booster hang by rename the variable * solve hang when parallel mode = pp + dp * [moe] implement submesh initialization * [moe] add mixtral dp grad scaling when not all experts are activated * [chore] manually revert unintended commit * [chore] trivial fix * [chore] arg pass & remove drop token * [test] add mixtral modelling test * [moe] implement tp * [moe] test deepseek * [moe] clean legacy code * [Feature] MoE Ulysses Support (#5918) * moe sp support * moe sp bug solve * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [chore] minor fix * [moe] init moe plugin comm setting with sp * moe sp + ep bug fix * [moe] finalize test (no pp) * [moe] full test for deepseek and mixtral (pp + sp to fix) * [chore] minor fix after rebase * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [chore] solve moe ckpt test failure and some other arg pass failure * [moe] remove ops * [test] fix test: test_zero1_2 * [bug] fix: somehow logger hangs the program * [moe] deepseek moe sp support * [test] add check * [deepseek] replace attn (a workaround for bug in transformers) * [misc] skip redunant test * [misc] remove debug/print code * [moe] refactor mesh assignment * Revert "[moe] implement submesh initialization" This reverts commit2f9bce6686. * [chore] change moe_pg_mesh to private * [misc] remove incompatible test config * [misc] fix ci failure: change default value to false in moe plugin * [misc] remove useless condition * [chore] docstring * [moe] remove force_overlap_comm flag and add warning instead * [doc] add MoeHybridParallelPlugin docstring * [moe] solve dp axis issue * [chore] remove redundant test case, print string & reduce test tokens * [feat] Dist Loader for Eval (#5950) * support auto distributed data loader * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support auto distributed data loader * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix tp error * remove unused parameters * remove unused * update inference * update docs * update inference --------- Co-authored-by: Michelle <qianranma8@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [lora] lora support hybrid parallel plugin (#5956) * lora support hybrid plugin * fix * fix * fix * fix * Support overall loss, update KTO logging * [Docs] clarify launch port Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Hotfix] README link (#5966) * update ignore * update readme * run style * update readme * [Hotfix] Avoid fused RMSnorm import error without apex (#5985) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Chat] fix readme (#5989) * fix readme * fix readme, tokenization fully tested * fix readme, tokenization fully tested * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: root <root@notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9-0.notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9.colossal-ai.svc.cluster.local> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix sync condition (#6000) * [plugin] add cast inputs option for zero (#6003) * [pre-commit.ci] pre-commit autoupdate (#5995) updates: - [github.com/psf/black-pre-commit-mirror: 24.4.2 → 24.8.0](https://github.com/psf/black-pre-commit-mirror/compare/24.4.2...24.8.0) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [misc] Bypass the huggingface bug to solve the mask mismatch problem (#5991) * [Feature] Zigzag Ring attention (#5905) * halfway * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add sp_mode to benchmark; fix varlen interface * update softmax_lse shape by new interface * change tester name * remove buffer clone; support packed seq layout * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [misc] update compatibility (#6008) * [misc] update compatibility * [misc] update requirements * [devops] disable requirements cache * [test] fix torch ddp test * [test] fix rerun on address in use * [test] fix lazy init * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix the merge * fix the merge * overlap kv comm with output rescale (#6017) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * fix the merge * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix the merge * fix * fix * fix the merge * fix * [misc] Use dist logger in plugins (#6011) * use dist logger in plugins * remove trash * print on rank 0 --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * fix * fix * fix * fix * fix the merge * fix * fix * fix * fix --------- Co-authored-by: YeAnbang <anbangy2@outlook.com> Co-authored-by: Haze188 <haze188@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: Runyu Lu <77330637+LRY89757@users.noreply.github.com> Co-authored-by: Guangyao Zhang <xjtu521@qq.com> Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: Stephan Kö <stephankoe@users.noreply.github.com> Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: zhurunhua <1281592874@qq.com> Co-authored-by: Insu Jang <insujang@umich.edu> Co-authored-by: Gao, Ruiyuan <905370712@qq.com> Co-authored-by: hxwang <wang1570@e.ntu.edu.sg> Co-authored-by: Michelle <qianranma8@gmail.com> Co-authored-by: root <root@notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9-0.notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9.colossal-ai.svc.cluster.local> * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update train_dpo.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update low_level_zero_plugin.py * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [CI] Remove triton version for compatibility bug; update req torch >=2.2 (#6018) * remove triton version * remove torch 2.2 * remove torch 2.1 * debug * remove 2.1 build tests * require torch >=2.2 --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [plugin] hotfix zero plugin (#6036) * [plugin] hotfix zero plugin * [plugin] hotfix zero plugin * [Colossal-LLaMA] Refactor latest APIs (#6030) * refactor latest code * update api * add dummy dataset * update Readme * add setup * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update files * add PP support * update arguments * update argument * reorg folder * update version * remove IB infor * update utils * update readme * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update save for zero * update save * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add apex * update --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add fused norm (#6038) * [FP8] unsqueeze scale to make it compatible with torch.compile (#6040) * [colossalai/checkpoint_io/...] fix bug in load_state_dict_into_model; format error msg (#6020) * fix bug in load_state_dict_into_model; format error msg * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update utils.py to support checking missing_keys * Update general_checkpoint_io.py fix bug in missing_keys error message * retrigger tests --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Hotfix] Remove deprecated install (#6042) * remove deprecated install * remove unused folder * [fp8] optimize all-gather (#6043) * [fp8] optimize all-gather * [fp8] fix all gather fp8 ring * [fp8] enable compile * [fp8] fix all gather fp8 ring * [fp8] fix linear hook (#6046) * [fp8] disable all_to_all_fp8 in intranode (#6045) * enhance all_to_all_fp8 with internode comm control * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * disable some fp8 ops due to performance issue * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [release] update version (#6041) * [release] update version * [devops] update comp test * [devops] update comp test debug * [devops] debug comp test * [devops] debug comp test * [devops] debug comp test * [devops] debug comp test * [devops] debug comp test * [Feature] Split cross-entropy computation in SP (#5959) * halfway * fix cross-PP-stage position id length diff bug * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * update softmax_lse shape by new interface * change tester name * remove buffer clone; support packed seq layout * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements * adapt chatglm, command-R, qwen * debug * halfway * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * add sp_mode to benchmark; fix varlen interface * update softmax_lse shape by new interface * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements * add comments * q1 index only once * remove events to simplify stream sync * simplify forward/backward logic * 2d ring forward passed * 2d ring backward passed * fixes * fix ring attn loss * 2D ring backward + llama passed * merge * update logger * fix typo * rebase * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo * remove typos * fixes * support GPT --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [hotfix] moe hybrid parallelism benchmark & follow-up fix (#6048) * [example] pass use_fp8_comm flag to all plugins * [example] add mixtral benchmark * [moe] refine assertion and check * [moe] fix mixtral & add more tests * [moe] consider checking dp * sp group and moe_dp_group * [mixtral] remove gate tp & add more tests * [deepseek] fix tp & sp for deepseek * [mixtral] minor fix * [deepseek] add deepseek benchmark * [fp8] hotfix backward hook (#6053) * [fp8] hotfix backward hook * [fp8] hotfix pipeline loss accumulation * [doc] update sp doc (#6055) * update sp doc * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix the sp * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix the attn * fix * fix * fix * fix * [zerobubble]Support ZeroBubble Pipeline (#6034) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * [fp8] fix missing fp8_comm flag in mixtral (#6057) * fix * fix * fix * [fp8] Disable all_gather intranode. Disable Redundant all_gather fp8 (#6059) * all_gather only internode, fix pytest * fix cuda arch <89 compile pytest error * fix pytest failure * disable all_gather_into_tensor_flat_fp8 * fix fp8 format * fix pytest * fix conversations * fix chunk tuple to list * [doc] FP8 training and communication document (#6050) * Add FP8 training and communication document * add fp8 docstring for plugins * fix typo * fix typo * fix * fix * [moe] add parallel strategy for shared_expert && fix test for deepseek (#6063) * [ColossalEval] support for vllm (#6056) * support vllm * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * modify vllm and update readme * run pre-commit * remove dupilicated lines and refine code * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update param name * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * refine code * update readme * refine code * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [release] update version (#6062) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] fix poc format * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix mem check; * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [feat] moehybrid support zerobubble; * [fix] fix zerobubble pp for shardformer type input; * [fix] fix require_grad & deallocate call; * [fix] fix mem assert; * [fix] fix fwd branch, fwd pass both micro_batch & internal_inputs' * [fix] fix pipeline util func deallocate --> release_tensor_data; fix bwd_b loss bwd branch; * [fix] fix zerobubble; support shardformer model type; * [fix] fix test_pipeline_utils ci; * [plugin] hybrid support zero bubble pipeline (#6060) * hybrid support zbv * fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * [zerobubble]Support ZeroBubble Pipeline (#6034) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * hybrid support zbv * fix fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * fix * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: duanjunwen <935724073@qq.com> * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] fix poc format * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [feat] update test; rm comments; * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix mem check; * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix mem assert; * [fix] fix fwd branch, fwd pass both micro_batch & internal_inputs' * [plugin] hybrid support zero bubble pipeline (#6060) * hybrid support zbv * fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * [zerobubble]Support ZeroBubble Pipeline (#6034) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * hybrid support zbv * fix fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * fix * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: duanjunwen <935724073@qq.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: HangXu <hangxu0304@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: GuangyaoZhang <xjtu521@qq.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: YeAnbang <anbangy2@outlook.com> Co-authored-by: Haze188 <haze188@qq.com> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: Runyu Lu <77330637+LRY89757@users.noreply.github.com> Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com> Co-authored-by: Stephan Kö <stephankoe@users.noreply.github.com> Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: zhurunhua <1281592874@qq.com> Co-authored-by: Insu Jang <insujang@umich.edu> Co-authored-by: Gao, Ruiyuan <905370712@qq.com> Co-authored-by: hxwang <wang1570@e.ntu.edu.sg> Co-authored-by: Michelle <qianranma8@gmail.com> Co-authored-by: Wang Binluo <32676639+wangbluo@users.noreply.github.com> Co-authored-by: wangbluo <2538539015@qq.com> Co-authored-by: root <root@notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9-0.notebook-8f919155-6035-47b4-9c6f-1be133b9e2c9.colossal-ai.svc.cluster.local> Co-authored-by: duanjunwen <935724073@qq.com> Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
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@@ -11,6 +11,7 @@ from colossalai.accelerator import get_accelerator
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from colossalai.interface import OptimizerWrapper
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from colossalai.pipeline.p2p import PipelineP2PCommunication, create_send_metadata
|
||||
from colossalai.pipeline.stage_manager import PipelineStageManager
|
||||
from colossalai.quantization.fp8 import cast_from_fp8_pipeline, cast_to_fp8_pipeline
|
||||
from colossalai.utils import get_current_device
|
||||
|
||||
from ._utils import detach, get_batch_size, get_micro_batch, merge_batch, model_forward, retain_grad, to_device
|
||||
@@ -32,6 +33,7 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
microbatch_size: Optional[int] = None,
|
||||
enable_metadata_cache: bool = True,
|
||||
overlap_p2p: bool = True,
|
||||
fp8_communication: bool = False,
|
||||
) -> None:
|
||||
super().__init__(stage_manager)
|
||||
assert (
|
||||
@@ -56,6 +58,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
self.tensor_metadata_recv = None
|
||||
self.grad_metadata_recv = None
|
||||
|
||||
self.fp8_communication = fp8_communication
|
||||
|
||||
def load_batch(self, data_iter: Iterable, device: Optional[torch.device] = None) -> None:
|
||||
"""Load a batch from data iterator.
|
||||
|
||||
@@ -191,8 +195,12 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
"""
|
||||
with self.stage_manager.switch_model_chunk_id(model_chunk_id):
|
||||
if not self.stage_manager.is_last_stage():
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(output_tensor)
|
||||
send_handles = self.comm.send_forward(output_tensor, next_rank, send_metadata=self.send_tensor_metadata)
|
||||
self.send_tensor_metadata = not self.enable_metadata_cache
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(output_tensor)
|
||||
return send_handles
|
||||
return []
|
||||
|
||||
@@ -210,10 +218,14 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
"""
|
||||
with self.stage_manager.switch_model_chunk_id(model_chunk_id):
|
||||
if not self.stage_manager.is_first_stage():
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(input_tensor_grad)
|
||||
send_handles = self.comm.send_backward(
|
||||
input_tensor_grad, prev_rank, send_metadata=self.send_grad_metadata
|
||||
)
|
||||
self.send_grad_metadata = not self.enable_metadata_cache
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(input_tensor_grad)
|
||||
return send_handles
|
||||
return []
|
||||
|
||||
@@ -224,6 +236,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
is_send = not self.stage_manager.is_last_stage()
|
||||
with self.stage_manager.switch_model_chunk_id(model_chunk_id_recv):
|
||||
is_recv = not self.stage_manager.is_first_stage()
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(output_tensor)
|
||||
input_tensor, wait_handles = self.comm.send_forward_recv_forward(
|
||||
output_tensor,
|
||||
is_send,
|
||||
@@ -237,6 +251,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
if is_recv and self.enable_metadata_cache and self.tensor_metadata_recv is None:
|
||||
self.tensor_metadata_recv = create_send_metadata(input_tensor)
|
||||
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(output_tensor)
|
||||
return input_tensor, wait_handles
|
||||
|
||||
def send_backward_recv_backward(
|
||||
@@ -246,6 +262,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
is_send = not self.stage_manager.is_first_stage()
|
||||
with self.stage_manager.switch_model_chunk_id(model_chunk_id_recv):
|
||||
is_recv = not self.stage_manager.is_last_stage()
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(input_tensor_grad)
|
||||
output_tensor_grad, wait_handles = self.comm.send_backward_recv_backward(
|
||||
input_tensor_grad,
|
||||
is_send,
|
||||
@@ -258,6 +276,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
self.send_grad_metadata = not self.enable_metadata_cache and is_send
|
||||
if is_recv and self.enable_metadata_cache and self.grad_metadata_recv is None:
|
||||
self.grad_metadata_recv = create_send_metadata(output_tensor_grad)
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(input_tensor_grad)
|
||||
return output_tensor_grad, wait_handles
|
||||
|
||||
def forward_step(
|
||||
@@ -298,7 +318,7 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
if self.stage_manager.is_last_stage():
|
||||
loss = criterion(output_obj, micro_batch) / self.num_microbatch
|
||||
if accum_loss is not None:
|
||||
accum_loss.add_(loss.detach())
|
||||
accum_loss.add_(loss.data)
|
||||
if outputs is not None:
|
||||
outputs.append(tree_map(detach, output_obj))
|
||||
return loss
|
||||
@@ -378,6 +398,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
|
||||
# Wait until current input is received
|
||||
_wait_p2p(fwd_wait_handles)
|
||||
if self.fp8_communication and input_obj is not None:
|
||||
cast_from_fp8_pipeline(input_obj)
|
||||
output_obj = self.forward_step(model_chunk, model_chunk_id, input_obj, criterion, accum_loss, outputs)
|
||||
|
||||
if not last_batch:
|
||||
@@ -440,6 +462,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
|
||||
# Wait for input
|
||||
_wait_p2p(fwd_wait_handles)
|
||||
if self.fp8_communication and input_obj is not None:
|
||||
cast_from_fp8_pipeline(input_obj)
|
||||
output_obj = self.forward_step(model_chunk, model_chunk_id, input_obj, criterion, accum_loss, outputs)
|
||||
input_objs[model_chunk_id].append(input_obj)
|
||||
output_objs[model_chunk_id].append(output_obj)
|
||||
@@ -466,6 +490,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
|
||||
# Wait for input.
|
||||
_wait_p2p(fwd_wait_handles)
|
||||
if self.fp8_communication and input_obj is not None:
|
||||
cast_from_fp8_pipeline(input_obj)
|
||||
output_obj = self.forward_step(model_chunk, model_chunk_id, input_obj, criterion, accum_loss, outputs)
|
||||
# Add input_obj and output_obj to end of list.
|
||||
input_objs[model_chunk_id].append(input_obj)
|
||||
@@ -510,6 +536,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
input_obj, fwd_wait_handles = send_forward_recv_forward()
|
||||
# Wait for upstream grad
|
||||
_wait_p2p(bwd_wait_handles)
|
||||
if self.fp8_communication and output_obj_grad is not None:
|
||||
cast_from_fp8_pipeline(output_obj_grad)
|
||||
input_obj_grad = self.backward_step(optimizer, _input_obj, _output_obj, output_obj_grad)
|
||||
# NOTE: It's documented by NCCL that running two concurrent communicators (batch_isend_irecv)
|
||||
# risks deadlock (https://docs.nvidia.com/deeplearning/nccl/archives/nccl_2134/user-guide/docs/usage/communicators.html)
|
||||
@@ -531,6 +559,8 @@ class InterleavedSchedule(PipelineSchedule):
|
||||
|
||||
# Wait for upstream grad
|
||||
_wait_p2p(bwd_wait_handles)
|
||||
if self.fp8_communication and output_obj_grad is not None:
|
||||
cast_from_fp8_pipeline(output_obj_grad)
|
||||
# backward local grads
|
||||
input_obj_grad = self.backward_step(optimizer, _input_obj, _output_obj, output_obj_grad)
|
||||
if not last_batch:
|
||||
|
||||
@@ -10,6 +10,7 @@ from colossalai.accelerator import get_accelerator
|
||||
from colossalai.interface import ModelWrapper, OptimizerWrapper
|
||||
from colossalai.pipeline.p2p import PipelineP2PCommunication, create_send_metadata
|
||||
from colossalai.pipeline.stage_manager import PipelineStageManager
|
||||
from colossalai.quantization.fp8 import cast_from_fp8_pipeline, cast_to_fp8_pipeline
|
||||
from colossalai.utils import get_current_device
|
||||
|
||||
from ._utils import (
|
||||
@@ -32,6 +33,7 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
num_microbatches: Optional[int] = None,
|
||||
microbatch_size: Optional[int] = None,
|
||||
enable_metadata_cache: bool = True,
|
||||
fp8_communication: bool = False,
|
||||
) -> None:
|
||||
"""1F1B pipeline schedule.
|
||||
|
||||
@@ -61,6 +63,8 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
self.tensor_metadata_recv = None
|
||||
self.grad_metadata_recv = None
|
||||
|
||||
self.fp8_communication = fp8_communication
|
||||
|
||||
def load_batch(self, data_iter: Iterable, device: Optional[torch.device] = None) -> None:
|
||||
"""Load a batch from data iterator.
|
||||
|
||||
@@ -129,6 +133,8 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
if self.enable_metadata_cache and self.tensor_metadata_recv is None:
|
||||
self.tensor_metadata_recv = create_send_metadata(input_tensor)
|
||||
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(input_tensor)
|
||||
return input_tensor
|
||||
|
||||
def recv_backward(self, next_rank: int = None) -> Any:
|
||||
@@ -143,6 +149,8 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
"""
|
||||
if not self.stage_manager.is_last_stage():
|
||||
output_tensor_grad, _ = self.comm.recv_backward(next_rank, metadata_recv=self.grad_metadata_recv)
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(output_tensor_grad)
|
||||
if self.enable_metadata_cache and self.grad_metadata_recv is None:
|
||||
self.grad_metadata_recv = create_send_metadata(output_tensor_grad)
|
||||
|
||||
@@ -157,9 +165,14 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
next_rank (int, optional): The rank of the recipient of the tensor.
|
||||
"""
|
||||
if not self.stage_manager.is_last_stage():
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(output_tensor)
|
||||
self.comm.send_forward(output_tensor, next_rank, send_metadata=self.send_tensor_metadata)
|
||||
self.send_tensor_metadata = not self.enable_metadata_cache
|
||||
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(output_tensor, del_metadata=False)
|
||||
|
||||
def send_backward(self, input_tensor_grad: Any, prev_rank: int = None) -> None:
|
||||
"""Sends the gradient tensor to the previous stage in pipeline.
|
||||
For 1F1B.
|
||||
@@ -169,8 +182,12 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
prev_rank (int, optional): The rank of the recipient of the tensor
|
||||
"""
|
||||
if not self.stage_manager.is_first_stage():
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(input_tensor_grad)
|
||||
self.comm.send_backward(input_tensor_grad, prev_rank, send_metadata=self.send_grad_metadata)
|
||||
self.send_grad_metadata = not self.enable_metadata_cache
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(input_tensor_grad, del_metadata=False)
|
||||
|
||||
def send_forward_recv_backward(self, output_tensor: Any, send_first: Optional[bool] = None) -> Any:
|
||||
"""Sends the input tensor to the next stage and copy the gradient tensor from the next stage in pipeline.
|
||||
@@ -183,6 +200,8 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
if not self.stage_manager.is_last_stage():
|
||||
if not self.send_tensor_metadata and self.grad_metadata_recv is not None:
|
||||
send_first = None
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(output_tensor)
|
||||
output_tensor_grad, _ = self.comm.send_forward_recv_backward(
|
||||
output_tensor,
|
||||
send_metadata=self.send_tensor_metadata,
|
||||
@@ -192,6 +211,9 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
self.send_tensor_metadata = not self.enable_metadata_cache
|
||||
if self.enable_metadata_cache and self.grad_metadata_recv is None:
|
||||
self.grad_metadata_recv = create_send_metadata(output_tensor_grad)
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(output_tensor, del_metadata=False)
|
||||
cast_from_fp8_pipeline(output_tensor_grad)
|
||||
|
||||
return output_tensor_grad
|
||||
|
||||
@@ -206,6 +228,8 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
if not self.stage_manager.is_first_stage():
|
||||
if not self.send_grad_metadata and self.tensor_metadata_recv is not None:
|
||||
send_first = None # must not fallback
|
||||
if self.fp8_communication:
|
||||
cast_to_fp8_pipeline(input_tensor_grad)
|
||||
input_tensor, _ = self.comm.send_backward_recv_forward(
|
||||
input_tensor_grad,
|
||||
send_metadata=self.send_grad_metadata,
|
||||
@@ -215,6 +239,9 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
self.send_grad_metadata = not self.enable_metadata_cache
|
||||
if self.enable_metadata_cache and self.tensor_metadata_recv is None:
|
||||
self.tensor_metadata_recv = create_send_metadata(input_tensor)
|
||||
if self.fp8_communication:
|
||||
cast_from_fp8_pipeline(input_tensor)
|
||||
cast_from_fp8_pipeline(input_tensor_grad, del_metadata=False)
|
||||
|
||||
return input_tensor
|
||||
|
||||
@@ -246,7 +273,7 @@ class OneForwardOneBackwardSchedule(PipelineSchedule):
|
||||
loss = criterion(output_obj, micro_batch) / self.num_microbatches
|
||||
|
||||
if accum_loss is not None:
|
||||
accum_loss.add_(loss.detach())
|
||||
accum_loss.add_(loss.data)
|
||||
if outputs is not None:
|
||||
outputs.append(tree_map_hf(detach, output_obj))
|
||||
return loss
|
||||
|
||||
Reference in New Issue
Block a user