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[Zerobubble] merge main. (#6142)
* [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; * [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; * [feat] moehybrid support zerobubble; * [fix] fix zerobubble pp for shardformer type input; * [feat] add more test; * [fix] fix require_grad & deallocate call; * [fix] updatw bwd b&w input; dict --> list[torch.Tensor] * [fix] fix bwd w input; * [fix] fix mem assert; * [fix] fix input_tensors buffer append input_obj(dict) --> Tuple (microbatch, input_obj) , and all bwd b related cal logic; * [fix] use tree_flatten replace dict traverse; * [fix] rm comments; * [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 detach clone release order; * [fix] fix ci --> oom in 4096 hidden dim; * [fix] fix dumb clone; * [fix] fix detach_output_obj clone; * [fix] fix stage_indices; * [fix] fix traverse; traverse dict --> traverse tensor List; * [fix] fix zerobubble; support shardformer model type; * [fix] rm comments; * [fix] fix test_pipeline_utils ci; * [fix] remove duplicate arg; rm comments; * [fix] remove chunk 0 stage 0 bwd b; u don't have to cal micrbatch's dx; * [fix] rm print & comments; * [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] zerobubble support moehybridplugin; * [feat] update optimizer bwd; ä¸ * [fix] fix build ci; * [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> * [fix] fix mixtral policy; * [fix] fix mixtral policy; * [feat] support zbv in mixtral benchmark; * [fix] MixtralForCausalLMPolicy get_held_layer support zbv; * [feat] update MixtralPipelineForwards --> mixtral_model_forward; support zbv; * [feat] support MixtralPipelineForwards--> mixtral_for_causal_lm_forward for zbv * [zero bubble] support zero (#6080) * 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 * zbv support zero * fix * fix * fix --------- 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> * [fix] fix llama, mixtral benchmark zbv loss none bug; update mixtral & llama policy and modeling; * [feat] Linear1D_COL/ROW support zbv WeightGradStore; * [feat] support use_zbv in llama, mixtral modeling; only replace Linear1D_Col/Row policy; * [fix] fix test case; moe error in second iter * [feat]EPMixtralSparseMoeBlock (op in MOE) support zbv; * [fix] fix bwd b; now bwd w only for Layer replaced by Linear1D_Col/Row; other layer perform a fully bwd; * [fix] debug zbv llama test; * [fix] rm use_zbv flag in Shardconfig; rm debug info; * [fix] add & fix llama test * [feat] support meta cache, meta_grad_send, meta_tensor_send; fix runtime too long in Recv Bwd; benchmark for llama + Hybrid(tp+pp); * [fix\ fix fail case test_shard_llama * [fix] fix test_shard_llama * [fix] fix llama modeling policy; * [fix] fix test_shard_llama ci; * [fix] fix test zerobubble * [fix] fix handle name; rm useless comments; * [fix] fix send recv signature; * [fix] fix comment in llama & benchmark * [feat] support no tensor parallel Linear in shardformer; Add test for use weightGradStore and not use WeightGradStore * [fix] fix linear (no tp) ops func name; * [feat] support zbv in mixtral benchmark; (#6083) * [feat] support zbv in mixtral benchmark; * [fix] MixtralForCausalLMPolicy get_held_layer support zbv; * [feat] update MixtralPipelineForwards --> mixtral_model_forward; support zbv; * [feat] support MixtralPipelineForwards--> mixtral_for_causal_lm_forward for zbv * [fix] fix llama, mixtral benchmark zbv loss none bug; update mixtral & llama policy and modeling; * [feat] Linear1D_COL/ROW support zbv WeightGradStore; * [feat] support use_zbv in llama, mixtral modeling; only replace Linear1D_Col/Row policy; * [fix] fix test case; moe error in second iter * [feat]EPMixtralSparseMoeBlock (op in MOE) support zbv; * [fix] fix bwd b; now bwd w only for Layer replaced by Linear1D_Col/Row; other layer perform a fully bwd; * [fix] debug zbv llama test; * [fix] rm use_zbv flag in Shardconfig; rm debug info; * [fix] add & fix llama test * [feat] support meta cache, meta_grad_send, meta_tensor_send; fix runtime too long in Recv Bwd; benchmark for llama + Hybrid(tp+pp); * [fix\ fix fail case test_shard_llama * [fix] fix test_shard_llama * [fix] fix llama modeling policy; * [fix] fix test_shard_llama ci; * [fix] fix test zerobubble * [fix] fix handle name; rm useless comments; * [fix] fix send recv signature; * [fix] fix comment in llama & benchmark * [feat] support no tensor parallel Linear in shardformer; Add test for use weightGradStore and not use WeightGradStore * [fix] fix linear (no tp) ops func name; * [fix] fix fp8 args in HybridParallel * [fix] fix hybridparall use_fp8 config * [fix] fix use_fp8 flag * [fix] fix model zoo init * [feat] support no_tp Linear for sharderformer.llama * [fix] fix zbv llama pp4 * [fix] fix send_tensor_metadata & send_grad_metadata; * [feat] fix testcase; * [feat] support mixtral policy with zbv tp_Linear & non_tp_Linear * [feat] update mixtral policy & bert policy for zerobubble * [fix] fix p2p error in zbv * [fix] fix attn * [fix] fix mixtral modeling & policy; update wait handles; doing benchmarking for llama hybrid; * [fix] fix zbv wait_handle * [fix] rm debug info; update llama policy; update wait handle * [fix] fix test_lora * [fix] fix test_lora in llama policy * [fix] fix wait handle in run_fwd_bwd * [fix] remove debug info; * [fix] rm unused comments * [fix] fix fp8 overlap code * [fix] fix yml file & v_schedule comments * [fix] rm fwd only meta cache comments; --------- Co-authored-by: flybird11111 <1829166702@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: HangXu <hangxu0304@gmail.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: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
This commit is contained in:
duanjunwen
GitHub
@@ -28,7 +28,7 @@ from colossalai.interface import AMPModelMixin, ModelWrapper, OptimizerWrapper
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from colossalai.interface.optimizer import DistributedOptim
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from colossalai.logging import get_dist_logger
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from colossalai.nn.optimizer import DistGaloreAwamW, cast_to_distributed
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from colossalai.pipeline.schedule import InterleavedSchedule, OneForwardOneBackwardSchedule
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from colossalai.pipeline.schedule import InterleavedSchedule, OneForwardOneBackwardSchedule, ZeroBubbleVPipeScheduler
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from colossalai.pipeline.stage_manager import PipelineStageManager
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from colossalai.quantization import BnbQuantizationConfig, quantize_model
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from colossalai.quantization.fp8_hook import FP8Hook
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@@ -296,7 +296,7 @@ class HybridParallelNaiveOptimizer(OptimizerWrapper):
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self._current_grad_norm: Optional[float] = None
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super().__init__(optim)
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def backward(self, loss: Tensor, *args, **kwargs):
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def backward(self, loss: Tensor, inputs=None, retain_graph=False, **kwargs):
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r"""
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Backpropagate gradients through the model and optionally synchronize sequence parallelism gradients.
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@@ -315,7 +315,7 @@ class HybridParallelNaiveOptimizer(OptimizerWrapper):
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# Call the superclass backward method to compute gradients.
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with self.model._hook_context():
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super().backward(loss, *args, **kwargs)
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super().backward(loss, inputs=inputs, retain_graph=retain_graph, **kwargs)
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if self.model.require_grad_sync:
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# If gradient synchronization is required, sync sequence parallelism gradients.
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@@ -324,7 +324,7 @@ class HybridParallelNaiveOptimizer(OptimizerWrapper):
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# If gradient synchronization is is not required, return.
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return
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def backward_by_grad(self, tensor: Tensor, grad: Tensor):
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def backward_by_grad(self, tensor: Tensor, grad: Tensor, inputs: Tensor = None, retain_graph: bool = False):
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"""
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Backpropagate gradients through the model using a precomputed gradient and optionally synchronize sequence parallelism gradients.
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@@ -341,7 +341,7 @@ class HybridParallelNaiveOptimizer(OptimizerWrapper):
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"""
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# Call the superclass backward method to compute gradients.
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super().backward_by_grad(tensor, grad)
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super().backward_by_grad(tensor, grad, inputs=inputs, retain_graph=retain_graph)
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if self.model.require_grad_sync:
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# If gradient synchronization is required, sync sequence parallelism gradients.
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@@ -525,7 +525,7 @@ class HybridParallelAMPOptimizer(MixedPrecisionOptimizer):
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max_norm=max_norm,
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)
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def backward(self, loss: Tensor, *args, **kwargs):
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def backward(self, loss: Tensor, inputs=None, retain_graph=False, **kwargs):
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r"""
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Backpropagate gradients through the model and optionally synchronize sequence parallelism gradients.
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@@ -543,7 +543,7 @@ class HybridParallelAMPOptimizer(MixedPrecisionOptimizer):
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"""
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# Call the superclass backward method to compute gradients.
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with self.model._hook_context():
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super().backward(loss, *args, **kwargs)
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super().backward(loss, inputs=inputs, retain_graph=retain_graph, **kwargs)
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if self.model.require_grad_sync:
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# If gradient synchronization is required, sync sequence parallelism gradients.
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@@ -552,7 +552,7 @@ class HybridParallelAMPOptimizer(MixedPrecisionOptimizer):
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# If gradient synchronization is is not required, return.
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return
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def backward_by_grad(self, tensor: Tensor, grad: Tensor):
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def backward_by_grad(self, tensor: Tensor, grad: Tensor, inputs: Tensor = None, retain_graph: bool = False):
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"""
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Backpropagate gradients through the model using a precomputed gradient and optionally synchronize sequence parallelism gradients.
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@@ -568,7 +568,7 @@ class HybridParallelAMPOptimizer(MixedPrecisionOptimizer):
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None
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"""
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# Call the superclass backward method to compute gradients.
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super().backward_by_grad(tensor, grad)
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super().backward_by_grad(tensor, grad, inputs=inputs, retain_graph=retain_graph)
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if self.model.require_grad_sync:
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# If gradient synchronization is required, sync sequence parallelism gradients.
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@@ -785,7 +785,7 @@ class HybridParallelZeroOptimizer(LowLevelZeroOptimizer):
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else:
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return
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def backward(self, loss, retain_graph=False):
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def backward(self, loss, inputs=None, retain_graph=False):
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"""
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Backpropagate gradients through the model and optionally synchronize sequence parallelism gradients.
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@@ -801,7 +801,7 @@ class HybridParallelZeroOptimizer(LowLevelZeroOptimizer):
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None
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"""
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# Call the superclass backward method to compute gradients.
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super().backward(loss, retain_graph)
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super().backward(loss, inputs=inputs, retain_graph=retain_graph)
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if self.require_grad_sync and self.model.shard_config.enable_sequence_parallelism:
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# If gradient synchronization is required, sync sequence parallelism gradients.
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@@ -810,7 +810,7 @@ class HybridParallelZeroOptimizer(LowLevelZeroOptimizer):
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# If gradient synchronization is is not required, return.
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return
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def backward_by_grad(self, tensor, grad):
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def backward_by_grad(self, tensor, grad, inputs: Tensor = None, retain_graph: bool = False):
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"""
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Backpropagate gradients through the model using a precomputed gradient and optionally synchronize sequence parallelism gradients.
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@@ -826,7 +826,7 @@ class HybridParallelZeroOptimizer(LowLevelZeroOptimizer):
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None
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"""
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# Call the superclass backward_by_grad method to compute gradients.
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super().backward_by_grad(tensor, grad)
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super().backward_by_grad(tensor, grad, inputs=inputs, retain_graph=retain_graph)
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if self.require_grad_sync and self.model.shard_config.enable_sequence_parallelism:
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# If gradient synchronization is required, sync sequence parallelism gradients.
|
||||
@@ -1030,6 +1030,7 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
custom_policy: Policy = None,
|
||||
pp_style: str = "1f1b",
|
||||
num_model_chunks: int = 1,
|
||||
scheduler_nodes: List = None,
|
||||
num_layers_per_stage: Optional[List[int]] = None,
|
||||
gradient_checkpoint_config: Optional[GradientCheckpointConfig] = None,
|
||||
enable_metadata_cache: bool = True,
|
||||
@@ -1048,6 +1049,9 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
dist.get_world_size() % (tp_size * pp_size) == 0
|
||||
), f"World size {dist.get_world_size()} is not divisible by tp_size {tp_size} * pp_size {pp_size}"
|
||||
|
||||
assert (
|
||||
not pp_style == "zbv" or scheduler_nodes is not None
|
||||
), f"scheduler_nodes must not be None when using zero bubble pipeline."
|
||||
if enable_sequence_parallelism:
|
||||
self.sequence_parallelism_mode = (
|
||||
sequence_parallelism_mode if sequence_parallelism_mode is not None else "all_to_all"
|
||||
@@ -1109,29 +1113,39 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
self.pg_mesh = ProcessGroupMesh(self.pp_size, self.dp_size, self.tp_size, self.sp_size)
|
||||
|
||||
self.stage_manager = None
|
||||
self.schedule = None
|
||||
self.scheduler = None
|
||||
self.custom_policy = custom_policy
|
||||
assert zero_stage in (0, 1, 2)
|
||||
if self.pp_size > 1:
|
||||
assert pp_style in ["1f1b", "interleaved"], "Unsupported pipeline parallelism style"
|
||||
assert pp_style == "interleaved" or num_model_chunks == 1, "num_model_chunks must be 1 when using 1f1b"
|
||||
assert pp_style in ["1f1b", "interleaved", "zbv"], "Unsupported pipeline parallelism style"
|
||||
assert (
|
||||
pp_style in ["interleaved", "zbv"] or num_model_chunks == 1
|
||||
), "num_model_chunks must be 1 when using 1f1b"
|
||||
assert (
|
||||
pp_style in ["1f1b", "interleaved"] or num_model_chunks == 2
|
||||
), "num_model_chunks must be 2 when using zero bubble pipeline"
|
||||
assert (
|
||||
num_microbatches is not None or microbatch_size is not None
|
||||
), "num_microbatches or microbatch_size must be specified when using pipeline parallelism"
|
||||
assert (
|
||||
self.zero_stage <= 1
|
||||
), "To avoid prohibitive gradient synchronization costs, zero stage must be 0 or 1 when using pipeline parallelism"
|
||||
if pp_style == "zbv":
|
||||
self.logger.warning(
|
||||
"""the enable_gradient_checkpointing function must set the use_reentrant to False, such as model.gradient_checkpointing_enable(gradient_checkpointing_kwargs={'use_reentrant':False})"""
|
||||
)
|
||||
self.stage_manager = PipelineStageManager(
|
||||
self.pg_mesh,
|
||||
pipeline_axis=self.pp_axis,
|
||||
enable_interleave=pp_style == "interleaved",
|
||||
enable_interleave=(pp_style == "interleaved" or pp_style == "zbv"),
|
||||
use_zbv=(pp_style == "zbv"),
|
||||
num_model_chunks=num_model_chunks,
|
||||
num_layers_per_stage=num_layers_per_stage,
|
||||
)
|
||||
|
||||
if pp_style == "interleaved":
|
||||
assert num_model_chunks > 1, "number of model chunks must be > 1 when using interleaved"
|
||||
self.schedule = InterleavedSchedule(
|
||||
self.scheduler = InterleavedSchedule(
|
||||
stage_manager=self.stage_manager,
|
||||
num_model_chunks=num_model_chunks,
|
||||
num_microbatch=num_microbatches,
|
||||
@@ -1141,13 +1155,21 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
fp8_communication=fp8_communication,
|
||||
)
|
||||
elif pp_style == "1f1b":
|
||||
self.schedule = OneForwardOneBackwardSchedule(
|
||||
self.scheduler = OneForwardOneBackwardSchedule(
|
||||
stage_manager=self.stage_manager,
|
||||
num_microbatches=num_microbatches,
|
||||
microbatch_size=microbatch_size,
|
||||
enable_metadata_cache=enable_metadata_cache,
|
||||
fp8_communication=fp8_communication,
|
||||
)
|
||||
elif pp_style == "zbv":
|
||||
self.scheduler = ZeroBubbleVPipeScheduler(
|
||||
stage_manager=self.stage_manager,
|
||||
schedule=scheduler_nodes,
|
||||
num_model_chunks=num_model_chunks,
|
||||
num_microbatch=num_microbatches,
|
||||
microbatch_size=microbatch_size,
|
||||
)
|
||||
else:
|
||||
raise NotImplementedError()
|
||||
if sequence_parallelism_mode == "ring_attn":
|
||||
@@ -1263,7 +1285,6 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
|
||||
# Replace with distributed implementation if exists
|
||||
optimizer = cast_to_distributed(optimizer)
|
||||
|
||||
if isinstance(optimizer, DistGaloreAwamW) and zero_stage > 0 and self.dp_size > 0:
|
||||
self.logger.warning(
|
||||
"Galore is only supported for Tensor Parallel and vanilla Data Parallel yet. Disabling ZeRO.",
|
||||
@@ -1278,6 +1299,7 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
self.dp_size == 1 and self.pp_size == 1
|
||||
)
|
||||
# sync gradients across DP * SP ranks
|
||||
# sync gradients across DP * SP ranks
|
||||
# Apply Hybrid ZeRO across DP * SP ranks
|
||||
if self.enable_sequence_parallelism and not is_share_sp_tp(self.sequence_parallelism_mode):
|
||||
dp_group = self.pg_mesh.create_group_along_axis([self.dp_axis, self.sp_axis])
|
||||
@@ -1380,7 +1402,7 @@ class HybridParallelPlugin(PipelinePluginBase):
|
||||
ctx = optimizer.no_sync() if isinstance(optimizer, HybridParallelZeroOptimizer) else model.no_sync()
|
||||
|
||||
with ctx, model._hook_context():
|
||||
outputs = self.schedule.forward_backward_step(
|
||||
outputs = self.scheduler.forward_backward_step(
|
||||
model, data_iter, criterion, optimizer, return_loss, return_outputs
|
||||
)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user