mirror of https://github.com/hpcaitech/ColossalAI
10 Commits (c25f83c85f10a14ac9443838ee355258d2eb1d3f)
| Author | SHA1 | Message | Date |
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flybird11111
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a0ad587c24
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[shardformer] refactor embedding resize (#5603)
* [branch rebase] rebase main to Feature/resize_embedding (#5554) * fix * [release] update version (#5411) * [hotfix] fix typo s/keywrods/keywords etc. (#5429) * [devops] fix compatibility (#5444) * [devops] fix compatibility * [hotfix] update compatibility test on pr * [devops] fix compatibility * [devops] record duration during comp test * [test] decrease test duration * fix falcon * [shardformer] fix gathering output when using tensor parallelism (#5431) * fix * padding vocab_size when using pipeline parallellism padding vocab_size when using pipeline parallellism fix fix * fix * fix fix fix * fix gather output * fix * fix * fix fix resize embedding fix resize embedding * fix resize embedding fix * revert * revert * revert * [doc] release Open-Sora 1.0 with model weights (#5468) * [doc] release Open-Sora 1.0 with model weights * [doc] release Open-Sora 1.0 with model weights * [doc] release Open-Sora 1.0 with model weights * [doc] update open-sora demo (#5479) * [doc] update open-sora demo * [doc] update open-sora demo * [doc] update open-sora demo * [example] add grok-1 inference (#5485) * [misc] add submodule * remove submodule * [example] support grok-1 tp inference * [example] add grok-1 inference script * [example] refactor code * [example] add grok-1 readme * [exmaple] add test ci * [exmaple] update readme --------- Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: digger yu <digger-yu@outlook.com> Co-authored-by: binmakeswell <binmakeswell@gmail.com> * [CI] run pre-commit (#5577) * fix * [release] update version (#5411) * [hotfix] fix typo s/keywrods/keywords etc. (#5429) * [devops] fix compatibility (#5444) * [devops] fix compatibility * [hotfix] update compatibility test on pr * [devops] fix compatibility * [devops] record duration during comp test * [test] decrease test duration * fix falcon * [shardformer] fix gathering output when using tensor parallelism (#5431) * fix * padding vocab_size when using pipeline parallellism padding vocab_size when using pipeline parallellism fix fix * fix * fix fix fix * fix gather output * fix * fix * fix fix resize embedding fix resize embedding * fix resize embedding fix * revert * revert * revert * [doc] release Open-Sora 1.0 with model weights (#5468) * [doc] release Open-Sora 1.0 with model weights * [doc] release Open-Sora 1.0 with model weights * [doc] release Open-Sora 1.0 with model weights * [doc] update open-sora demo (#5479) * [doc] update open-sora demo * [doc] update open-sora demo * [doc] update open-sora demo * [example] add grok-1 inference (#5485) * [misc] add submodule * remove submodule * [example] support grok-1 tp inference * [example] add grok-1 inference script * [example] refactor code * [example] add grok-1 readme * [exmaple] add test ci * [exmaple] update readme * run pre-commit --------- Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: digger yu <digger-yu@outlook.com> Co-authored-by: binmakeswell <binmakeswell@gmail.com> * [rebase] rebase main to resize-embedding (#5581) * [release] grok-1 314b inference (#5490) * [release] grok-1 inference * [release] grok-1 inference * [release] grok-1 inference * [example] update Grok-1 inference (#5495) * revise grok-1 example * remove unused arg in scripts * prevent re-installing torch * update readme * revert modifying colossalai requirements * add perf * trivial * add tokenizer url * [hotfix] set return_outputs=False in examples and polish code (#5404) * fix: simplify merge_batch * fix: use return_outputs=False to eliminate extra memory consumption * feat: add return_outputs warning * style: remove `return_outputs=False` as it is the default value * [release] grok-1 inference benchmark (#5500) * [release] grok-1 inference benchmark * [release] grok-1 inference benchmark * [release] grok-1 inference benchmark * [release] grok-1 inference benchmark * [release] grok-1 inference benchmark * [shardformer]Fix lm parallel. (#5480) * fix * padding vocab_size when using pipeline parallellism padding vocab_size when using pipeline parallellism fix fix * fix * fix fix fix * fix gather output * fix * fix * fix fix resize embedding fix resize embedding * fix resize embedding fix * revert * revert * revert * fix lm forward distribution * fix * test ci * fix * [fix] fix grok-1 example typo (#5506) * [devops] fix example test ci (#5504) * Fix ColoTensorSpec for py11 (#5440) * fixed layout converter caching and updated tester * Empty-Commit * [shardformer] update colo attention to support custom mask (#5510) * [feature] refactor colo attention (#5462) * [extension] update api * [feature] add colo attention * [feature] update sdpa * [feature] update npu attention * [feature] update flash-attn * [test] add flash attn test * [test] update flash attn test * [shardformer] update modeling to fit colo attention (#5465) * [misc] refactor folder structure * [shardformer] update llama flash-attn * [shardformer] fix llama policy * [devops] update tensornvme install * [test] update llama test * [shardformer] update colo attn kernel dispatch * [shardformer] update blip2 * [shardformer] update chatglm * [shardformer] update gpt2 * [shardformer] update gptj * [shardformer] update opt * [shardformer] update vit * [shardformer] update colo attention mask prep * [shardformer] update whisper * [test] fix shardformer tests (#5514) * [test] fix shardformer tests * [test] fix shardformer tests * [format] applied code formatting on changed files in pull request 5510 (#5517) Co-authored-by: github-actions <github-actions@github.com> * [shardformer] fix pipeline forward error if custom layer distribution is used (#5189) * Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution * Change static methods for t5 layer distribution to member functions * Change static methods for whisper layer distribution to member functions * Replace whisper policy usage with self one * Fix test case to use non-static layer distribution methods * fix: fix typo --------- Co-authored-by: Wenhao Chen <cwher@outlook.com> * [Fix] Grok-1 use tokenizer from the same pretrained path (#5532) * [fix] use tokenizer from the same pretrained path * trust remote code * [ColossalChat] Update RLHF V2 (#5286) * Add dpo. Fix sft, ppo, lora. Refactor all * fix and tested ppo * 2 nd round refactor * add ci tests * fix ci * fix ci * fix readme, style * fix readme style * fix style, fix benchmark * reproduce benchmark result, remove useless files * rename to ColossalChat * use new image * fix ci workflow * fix ci * use local model/tokenizer for ci tests * fix ci * fix ci * fix ci * fix ci timeout * fix rm progress bar. fix ci timeout * fix ci * fix ci typo * remove 3d plugin from ci temporary * test environment * cannot save optimizer * support chat template * fix readme * fix path * test ci locally * restore build_or_pr * fix ci data path * fix benchmark * fix ci, move ci tests to 3080, disable fast tokenizer * move ci to 85 * support flash attention 2 * add all-in-one data preparation script. Fix colossal-llama2-chat chat template * add hardware requirements * move ci test data * fix save_model, add unwrap * fix missing bos * fix missing bos; support grad accumulation with gemini * fix ci * fix ci * fix ci * fix llama2 chat template config * debug sft * debug sft * fix colossalai version requirement * fix ci * add sanity check to prevent NaN loss * fix requirements * add dummy data generation script * add dummy data generation script * add dummy data generation script * add dummy data generation script * update readme * update readme * update readme and ignore * fix logger bug * support parallel_output * modify data preparation logic * fix tokenization * update lr * fix inference * run pre-commit --------- Co-authored-by: Tong Li <tong.li352711588@gmail.com> * [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508) * feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig` * feat: apply `GradientCheckpointConfig` to policy and llama_forward * feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager * fix: add optional args for `distribute_layer` and `get_stage_index` * fix: fix changed API calls * test: update llama tests * style: polish `GradientCheckpointConfig` * fix: fix pipeline utils tests * fix incorrect sharding without zero (#5545) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [shardformer] Sequence Parallelism Optimization (#5533) * sequence parallel optimization * validate sequence parallel in llama (code to be polished) * shardformer api writing * integrate sequence parallel in ShardFormer * fix pp bugs and sp bugs for LlaMa model * integrating ring-based sequence parallelism into ShardFormer * [sequence parallelism]: Add fused megatron function * integrating ring-based sequence parallelism into ShardFormer --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> * fix bugs when useing sp and flashattention together * fix operation function name * support flash attention for ulysses-style sp * clarify sp process group * fix compatibility bugs in moe plugin * fix fused linear bugs * fix linear layer test * support gpt model all-to-all sp * modify shard data dimension (meant to be dim=-1) * support megtron-style sp and distributed attn for llama model * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * finish sp mode 3 support for gpt * using all_to_all_single when batch size is 1 * support mode 2 sp in gpt2 (#5) * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * refactor ring implementation * support mode 2 sp in gpt2 * polish code * enable distributed attn mask when using sp mode 2 and 3 in llama * automatically enable flash attn when using sp mode 2 and 3 in llama * inplace attn mask * add zero2 support for sequence parallel * polish code * fix bugs * fix gemini checkpoint io * loose tensor checking atol and rtol * add comment * fix llama layernorm grad * fix zero grad * fix zero grad * fix conflict * update split and gather auto grad func * sequence parallel: inside text split (#6) * polish code (part 1) * polish code (part 2) * polish code (part 2.5) * polish code (part 3) * sequence parallel: inside text split * miscellaneous minor fixes * polish code * fix ulysses style ZeRO * sequence parallel: inside text split * miscellaneous minor fixes * disaggregate sp group and dp group for sp * fix llama and gpt sp * polish code * move ulysses grad sync to ddp (#9) * remove zero_stage and unbind the grad sync for alltoall sp * add 2d group creation test * move ulysses grad sync to ddp * add 2d group creation test * remove useless code * change shard config not to enable sp when enable_all_optimizations * add sp warnings for several model * remove useless code --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> * [hotfix] quick fixes to make legacy tutorials runnable (#5559) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [fix] fix typo s/muiti-node /multi-node etc. (#5448) * [hotfix] fix typo s/get_defualt_parser /get_default_parser (#5548) * [devops] remove post commit ci (#5566) * [devops] remove post commit ci * [misc] run pre-commit on all files * [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> --------- Co-authored-by: binmakeswell <binmakeswell@gmail.com> Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com> Co-authored-by: Wenhao Chen <cwher@outlook.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: Rocky Duan <dementrock@users.noreply.github.com> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions <github-actions@github.com> Co-authored-by: Insu Jang <insujang@umich.edu> Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com> Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> Co-authored-by: digger yu <digger-yu@outlook.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [shardformer]enable padding vocabulary size. (#5489) * padding vocab_size when using pipeline parallellism padding vocab_size when using pipeline parallellism fix fix * fix * fix fix fix * fix gather output * fix * fix * fix fix resize embedding fix resize embedding * fix resize embedding fix * revert * revert * revert * padding vocab * padding vocabe * fix * fix * fxi * test ci * fix fix fix fix * fix fix * fix * fix * Update hybrid_parallel_plugin.py fix fix fix * fix fix * fix fix * fix * resolve super init resolve super init resolve super init resolve super init * resolve comments * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * vocab checkpointio * padding vocab_size when using pipeline parallellism padding vocab_size when using pipeline parallellism fix fix * fix fix fix * fix * fix fix resize embedding fix resize embedding * fix resize embedding fix * revert * revert * padding vocab * fix * fix fix * fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * cherry-pick * revert moe modify * [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 fix * resolve comments resolve comments resolve comments resolve comments resolve comments * ptensor ptensor resolve comments fix fix fix fix fix resolve comments resolve comments resolve comments resolve comments resolve comments --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix rebase * fix rebase --------- Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: digger yu <digger-yu@outlook.com> Co-authored-by: binmakeswell <binmakeswell@gmail.com> Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com> Co-authored-by: Wenhao Chen <cwher@outlook.com> Co-authored-by: Rocky Duan <dementrock@users.noreply.github.com> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions <github-actions@github.com> Co-authored-by: Insu Jang <insujang@umich.edu> Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com> Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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flybird11111
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576a2f7b10
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[gemini] gemini support tensor parallelism. (#4942)
* [colossalai]fix typo * [inference] Add smmoothquant for llama (#4904) * [inference] add int8 rotary embedding kernel for smoothquant (#4843) * [inference] add smoothquant llama attention (#4850) * add smoothquant llama attention * remove uselss code * remove useless code * fix import error * rename file name * [inference] add silu linear fusion for smoothquant llama mlp (#4853) * add silu linear * update skip condition * catch smoothquant cuda lib exception * prcocess exception for tests * [inference] add llama mlp for smoothquant (#4854) * add llama mlp for smoothquant * fix down out scale * remove duplicate lines * add llama mlp check * delete useless code * [inference] add smoothquant llama (#4861) * add smoothquant llama * fix attention accuracy * fix accuracy * add kv cache and save pretrained * refactor example * delete smooth * refactor code * [inference] add smooth function and delete useless code for smoothquant (#4895) * add smooth function and delete useless code * update datasets * remove duplicate import * delete useless file * refactor codes (#4902) * rafactor code * add license * add torch-int and smoothquant license * Update flash_attention_patch.py To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer. https://github.com/huggingface/transformers/pull/25598 * [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921) * [kernel] support pure fp16 for cpu adam (#4896) * [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919) * [kernel] fix cpu adam * [test] update gemini optim test * [format] applied code formatting on changed files in pull request 4908 (#4918) Co-authored-by: github-actions <github-actions@github.com> * [gemini] support gradient accumulation (#4869) * add test * fix no_sync bug in low level zero plugin * fix test * add argument for grad accum * add grad accum in backward hook for gemini * finish implementation, rewrite tests * fix test * skip stuck model in low level zero test * update doc * optimize communication & fix gradient checkpoint * modify doc * cleaning codes * update cpu adam fp16 case * [hotfix] fix torch 2.0 compatibility (#4936) * [hotfix] fix launch * [test] fix test gemini optim * [shardformer] fix vit * [test] add no master test for low level zero plugin (#4934) * [format] applied code formatting on changed files in pull request 4820 (#4886) Co-authored-by: github-actions <github-actions@github.com> * [nfc] fix some typo with colossalai/ docs/ etc. (#4920) * [Refactor] Integrated some lightllm kernels into token-attention (#4946) * add some req for inference * clean codes * add codes * add some lightllm deps * clean codes * hello * delete rms files * add some comments * add comments * add doc * add lightllm deps * add lightllm cahtglm2 kernels * add lightllm cahtglm2 kernels * replace rotary embedding with lightllm kernel * add some commnets * add some comments * add some comments * add * replace fwd kernel att1 * fix a arg * add * add * fix token attention * add some comments * clean codes * modify comments * fix readme * fix bug * fix bug --------- Co-authored-by: cuiqing.li <lixx336@gmail.com> Co-authored-by: CjhHa1 <cjh18671720497@outlook.com> * [test] merge old components to test to model zoo (#4945) * [test] add custom models in model zoo * [test] update legacy test * [test] update model zoo * [test] update gemini test * [test] remove components to test * [inference] add reference and fix some bugs (#4937) * add reference and fix some bugs * update gptq init --------- Co-authored-by: Xu Kai <xukai16@foxamil.com> * [Inference]ADD Bench Chatglm2 script (#4963) * add bench chatglm * fix bug and make utils --------- Co-authored-by: CjhHa1 <cjh18671720497outlook.com> * [Pipeline inference] Combine kvcache with pipeline inference (#4938) * merge kvcache with pipeline inference and refactor the code structure * support ppsize > 2 * refactor pipeline code * do pre-commit * modify benchmark * fix bench mark * polish code * add docstring and update readme * refactor the code * fix some logic bug of ppinfer * polish readme * fix typo * skip infer test * updated c++17 compiler flags (#4983) * [Inference] Dynamic Batching Inference, online and offline (#4953) * [inference] Dynamic Batching for Single and Multiple GPUs (#4831) * finish batch manager * 1 * first * fix * fix dynamic batching * llama infer * finish test * support different lengths generating * del prints * del prints * fix * fix bug --------- Co-authored-by: CjhHa1 <cjh18671720497outlook.com> * [inference] Async dynamic batching (#4894) * finish input and output logic * add generate * test forward * 1 * [inference]Re push async dynamic batching (#4901) * adapt to ray server * finish async * finish test * del test --------- Co-authored-by: yuehuayingxueluo <867460659@qq.com> * Revert "[inference]Re push async dynamic batching (#4901)" (#4905) This reverts commit |
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Hongxin Liu
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079bf3cb26
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[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format |
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ver217
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73a4144b91 | [shardformer] fix embedding | |
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FoolPlayer
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9ee4ebea83 |
[shardformer] support whisper (#4212)
* support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme |
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Hongxin Liu
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d921ce8391 |
[shardformer] support inplace sharding (#4251)
* [shardformer] embedding support inplace sharding * [shardformer] linear support inplace sharding * [shardformer] layernorm support inplace sharding * [shardformer] qkv support inplace sharding * [test] update shardformer layer test * [shardformer] fix shared param sharding * [shardformer] fix bert policy * [shardformer] fix bloom policy * [shardformer] fix llama policy * [shardformer] fix opt policy * [shardformer] fix t5 policy * [shardformer] fix fused qkv linear * [shardformer] fix bugs * force sync * [test] fix bugs * [test] fix transformer version |
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Hongxin Liu
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890774b2fb |
[shardformer] support lazy init (#4202)
* [shardformer] support lazy init * [shardformer] linear support lazy init * [shardformer] embedding support lazy init * [shardformer] norm support lazy init * [shardformer] fused linear support lazy init * [test] update shardformer test layer * [test] shardformer with lazy init fit ddp * [lazy] hotfix deepcopy of param * [shardformer] fix bert policy and update test * [shardformer] fix bloom policy and update test * [shardformer] fix opt policy and update test * [shardformer] fix t5 policy and update test * [shardformer] fix gpt2 policy and update test * [shardformer] fix llama policy and update test |
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Frank Lee
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70c58cfd4f | [shardformer] supported fused qkv checkpoint (#4073) | |
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Frank Lee
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8eb09a4c69 |
[shardformer] support module saving and loading (#4062)
* [shardformer] support module saving and loading * polish code |
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Frank Lee
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f22ddacef0 | [shardformer] refactored the shardformer layer structure (#4053) |