ColossalAI

Commit Graph

Author	SHA1	Message	Date
flybird11111	a0ad587c24	[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>	7 months ago
digger yu	5e1c93d732	[hotfix] fix typo change MoECheckpintIO to MoECheckpointIO (#5335 ) Co-authored-by: binmakeswell <binmakeswell@gmail.com>	9 months ago
Hongxin Liu	eb4f2d90f9	[llama] polish training script and fix optim ckpt (#5368 )	10 months ago
Hongxin Liu	ffffc32dc7	[checkpointio] fix gemini and hybrid parallel optim checkpoint (#5347 ) * [checkpointio] fix hybrid parallel optim checkpoint * [extension] fix cuda extension * [checkpointio] fix gemini optimizer checkpoint * polish code	10 months ago
Elsa Granger	b2ad0d9e8f	[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark (#5017 ) * Use p2p * Cannot bidirectonal send p2p * Refactor tensor creation and serialization in P2P communication * Fix llama forward args in flash attention * Add flop estimate from megatron * Support loading weight not in weight_map when strict=False in hybrid_parallel * Use send_forward_recv_backward, etc in 1f1b * Use dataclass for metdata Remove torch.cuda.synchronize() as suggested * Add comment about the torch.cuda.synchronize for potential error * Typo * Update hybrid_parallel_checkpoint_io.py * Update p2p.py * Update one_f_one_b.py * Update p2p.py --------- Co-authored-by: flybird11111 <1829166702@qq.com>	1 year ago
Baizhou Zhang	64a08b2dc3	[checkpointio] support unsharded checkpointIO for hybrid parallel (#4774 ) * support unsharded saving/loading for model * support optimizer unsharded saving * update doc * support unsharded loading for optimizer * small fix	1 year ago
Baizhou Zhang	c0a033700c	[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic (#4758 ) * fix master param sync for hybrid plugin * rewrite unwrap for ddp/fsdp * rewrite unwrap for zero/gemini * rewrite unwrap for hybrid plugin * fix geemini unwrap * fix bugs	1 year ago
Hongxin Liu	079bf3cb26	[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	1 year ago
flybird11111	4c4482f3ad	[example] llama2 add fine-tune example (#4673 ) * [shardformer] update shardformer readme [shardformer] update shardformer readme [shardformer] update shardformer readme * [shardformer] update llama2/opt finetune example and shardformer update to llama2 * [shardformer] update llama2/opt finetune example and shardformer update to llama2 * [shardformer] update llama2/opt finetune example and shardformer update to llama2 * [shardformer] change dataset * [shardformer] change dataset * [shardformer] fix CI * [shardformer] fix * [shardformer] fix * [shardformer] fix * [shardformer] fix * [shardformer] fix [example] update opt example [example] resolve comments fix fix * [example] llama2 add finetune example * [example] llama2 add finetune example * [example] llama2 add finetune example * [example] llama2 add finetune example * fix * update llama2 example * update llama2 example * fix * update llama2 example * update llama2 example * update llama2 example * update llama2 example * update llama2 example * update llama2 example * Update requirements.txt * update llama2 example * update llama2 example * update llama2 example	1 year ago
Baizhou Zhang	d8ceeac14e	[hotfix] fix typo in hybrid parallel io (#4697 )	1 year ago
Baizhou Zhang	38ccb8b1a3	[shardformer] support from_pretrained when loading model with HybridParallelPlugin (#4575 ) * hybrid plugin support huggingface from_pretrained * add huggingface compatibility tests * add folder cleaning * fix bugs	1 year ago
Baizhou Zhang	c9625dbb63	[shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin (#4540 ) * implement sharded optimizer saving * add more param info * finish implementation of sharded optimizer saving * fix bugs in optimizer sharded saving * add pp+zero test * param group loading * greedy loading of optimizer * fix bug when loading * implement optimizer sharded saving * add optimizer test & arrange checkpointIO utils * fix gemini sharding state_dict * add verbose option * add loading of master params * fix typehint * fix master/working mapping in fp16 amp	1 year ago
Baizhou Zhang	44eab2b27f	[shardformer] support sharded checkpoint IO for models of HybridParallelPlugin (#4506 ) * add APIs * implement save_sharded_model * add test for hybrid checkpointio * implement naive loading for sharded model * implement efficient sharded model loading * open a new file for hybrid checkpoint_io * small fix * fix circular importing * fix docstring * arrange arguments and apis * small fix	1 year ago

13 Commits (5f8c0a0ac3b52a71b664c3e36dd1a8cef40f428d)