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[hotfix] fix incorrect sharding without zero #5545

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merged 1 commit into from Apr 2, 2024

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@Edenzzzz Edenzzzz commented Apr 2, 2024

📌 Checklist before creating the PR

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🚨 Issue number

fixed #5539

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@Edenzzzz Edenzzzz requested a review from a team as a code owner April 2, 2024 10:19
@Edenzzzz Edenzzzz enabled auto-merge (squash) April 2, 2024 10:21
@Edenzzzz Edenzzzz requested a review from ver217 April 2, 2024 10:21
@Edenzzzz Edenzzzz changed the title fix incorrect sharding without zero [hotfix] fix incorrect sharding without zero Apr 2, 2024
@Edenzzzz Edenzzzz merged commit 7e0ec5a into hpcaitech:main Apr 2, 2024
7 checks passed
flybird11111 added a commit that referenced this pull request Apr 10, 2024
* [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>
flybird11111 added a commit that referenced this pull request Apr 18, 2024
* [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>
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linsj20 added a commit that referenced this pull request Apr 23, 2024
* [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 fbf3c09e673794ed18c91d4bab1a7dfea052e95a.

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Revert "[inference] Async dynamic batching  (#4894)" (#4909)

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* [infer]Add Ray Distributed Environment Init Scripts (#4911)

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* support dynamic batch for bloom model and is_running function

* [Inference]Test for new Async engine (#4935)

* infer engine

* infer engine

* test engine

* test engine

* new manager

* change step

* add

* test

* fix

* fix

* finish test

* finish test

* finish test

* finish test

* add license

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>

* add assertion for config (#4947)

* [Inference] Finish dynamic batching offline test (#4948)

* test

* fix test

* fix quant

* add default

* fix

* fix some bugs

* fix some bugs

* fix

* fix bug

* fix bugs

* reset param

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>

* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention  (#4965)

* adding flash-decoding

* clean

* adding kernel

* adding flash-decoding

* add integration

* add

* adding kernel

* adding kernel

* adding triton 2.1.0 features for inference

* update bloom triton kernel

* remove useless vllm kernels

* clean codes

* fix

* adding files

* fix readme

* update llama flash-decoding

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* fix ColossalEval (#4992)

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>

* [doc]Update doc for colossal-inference (#4989)

* update doc

* Update README.md

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* [hotfix] Fix the bug where process groups were not being properly released. (#4940)

* Fix the bug where process groups were not being properly released.

* test

* Revert "test"

This reverts commit 479900c1398637310abf92eefa3cd168038ea02f.

* [hotfix] fix the bug of repeatedly storing param group (#4951)

* [doc] add supported feature diagram for hybrid parallel plugin (#4996)

* [Pipeline Inference] Merge pp with tp (#4993)

* refactor pipeline into new CaiInferEngine

* updata llama modeling forward

* merge tp with pp

* update docstring

* optimize test workflow and example

* fix typo

* add assert and todo

* [release] update version (#4995)

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* [hotfix] fix ci

* [moe] merge moe into main (#4978)

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* support openmoe

* [hotfix] fix grad accumulation plus clipping for gemini (#5002)

* [hotfix] Add layer norm gradients all-reduce for sequence parallel (#4926)

* [hotfix] Add layer norm gradients all-reduce for sequence parallel. (#4915)

* Add layer norm gradients all-reduce for sequence parallel.

* skip pipeline inference test

* [hotfix] fixing polices of sequence parallel (#4922)

* Add layer norm gradients all-reduce for sequence parallel.

* fix parameter passing when calling get_autopolicy

---------

Co-authored-by: littsk <1214689160@qq.com>

* Hotfix/add grad all reduce for sequence parallel (#4927)

* Add layer norm gradients all-reduce for sequence parallel.


* fix parameter passing when calling get_autopolicy

* fix bug using wrong variables

---------

Co-authored-by: littsk <1214689160@qq.com>

* fix policy initialization

* fix bloom and chatglm policices

* polish code of handling layernorm

* fix moe module

* polish code of class initializing

---------

Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>

* [format] applied code formatting on changed files in pull request 4926 (#5007)

Co-authored-by: github-actions <github-actions@github.com>

* [Inference] Fix bug in ChatGLM2 Tensor Parallelism (#5014)

* fix bug

* fix

* fix multiquery

* fix multiquery

---------

Co-authored-by: CjhHa1 <cjh18671720497outlook.com>

* [misc] add code owners (#5024)

* [moe] support optimizer checkpoint (#5015)

* Refactor MoE Manager setup method

* unshard optim ckpt

* optim io

* update transformer version

* update requirements

* update ckpt

* update ckpt

* update ckpt

* fix engine

* fix engine

* Support mtbench (#5025)

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>

* [moe]: fix ep/tp tests, add hierarchical all2all (#4982)

* fix: add warning for EP different behavior

* fix: use shard_data in ep & tp model

* to: add used_capacity

* fix: fix router test

* feat: add create_ep_node_group

* feat: add create_ep_hierarchical_group fn

* feat: add HierarchicalAllToAll

* test: add hierarchical all2all test

* fix: fix test errors

* fix: simplify create_ep_hierarchical_group

* fix: add hierarchical_alltoall arg

* fix: fix environ typo

* revert: revert process mesh order

* to: add todo mark

* fix: skip hierarchical_comm if torch < 1.13.1

* [shardformer] Fix serialization error with Tensor Parallel state saving (#5018)

* Fix serialization error with Tensor Parallel state saving

* Refactor state_dict CPU transfer using tree_map

* [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

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* add some lightllm deps

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* hello

* delete rms files

* add some comments

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* replace fwd kernel att1

* fix a arg

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* fix token attention

* add some comments

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---------

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 fbf3c09e673794ed18c91d4bab1a7dfea052e95a.

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Revert "[inference] Async dynamic batching  (#4894)" (#4909)

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* [infer]Add Ray Distributed Environment Init Scripts (#4911)

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Add Ray Distributed Environment Init Scripts

* support DynamicBatchManager base function

* revert _set_tokenizer version

* add driver async generate

* add async test

* fix bugs in test_ray_dist.py

* add get_tokenizer.py

* fix code style

* fix bugs about No module named 'pydantic' in ci test

* fix bugs in ci test

* fix bugs in ci test

* fix bugs in ci test

* support dynamic batch for bloom model and is_running function

* [Inference]Test for new Async engine (#4935)

* infer engine

* infer engine

* test engine

* test engine

* new manager

* change step

* add

* test

* fix

* fix

* finish test

* finish test

* finish test

* finish test

* add license

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>

* add assertion for config (#4947)

* [Inference] Finish dynamic batching offline test (#4948)

* test

* fix test

* fix quant

* add default

* fix

* fix some bugs

* fix some bugs

* fix

* fix bug

* fix bugs

* reset param

---------

Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>

* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention  (#4965)

* adding flash-decoding

* clean

* adding kernel

* adding flash-decoding

* add integration

* add

* adding kernel

* adding kernel

* adding triton 2.1.0 features for inference

* update bloom triton kernel

* remove useless vllm kernels

* clean codes

* fix

* adding files

* fix readme

* update llama flash-decoding

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* fix ColossalEval (#4992)

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>

* [doc]Update doc for colossal-inference (#4989)

* update doc

* Update README.md

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* [hotfix] Fix the bug where process groups were not being properly released. (#4940)

* Fix the bug where process groups were not being properly released.

* test

* Revert "test"

This reverts commit 479900c1398637310abf92eefa3cd168038ea02f.

* [hotfix] fix the bug of repeatedly storing param group (#4951)

* [doc] add supported feature diagram for hybrid parallel plugin (#4996)

* [Pipeline Inference] Merge pp with tp (#4993)

* refactor pipeline into new CaiInferEngine

* updata llama modeling forward

* merge tp with pp

* update docstring

* optimize test workflow and example

* fix typo

* add assert and todo

* [release] update version (#4995)

* [release] update version

* [hotfix] fix ci

* [gemini] gemini support tp

[gemini] gemini support tp

[gemini] gemini support tp

[gemini] gemini support tp

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fix

fix

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update checkpointIO

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update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

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support fused layernorm

support fused layernorm

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update fusedlayernorm

update fusedlayernorm

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add sequence parallel to gemini

* fix

* fix comments

fix comments

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* clear cache

* fix

* activate ci

* activate ci

* fix

* fix

* fix

* fix

* revert

* modify tp gather method

modify tp gather method

modify tp gather method

modify tp gather method

* fix test

---------

Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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* [hotfix] Suport extra_kwargs in ShardConfig (#5031)

* [refactor]: replace inference args with extra_kwargs in ShardConfig

* modify shardconfig

* polish code

* fix policy bug in llama

* fix bug in auto policy

* remove setattr in ShardConfig

* fix wrong EOS token in ColossalChat

* [Kernels]Update triton kernels into 2.1.0 (#5046)

* update flash-context-attention

* adding kernels

* fix

* reset

* add build script

* add building process

* add llama2 exmaple

* add colossal-llama2 test

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---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* [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>

* [gemini] gemini support extra-dp (#5043)

* support ddp

* fix

* fix

* fix

fix

* support ddp

* fix

* fix

* fix

fix

* simplify tests

* fix

* fix

* fix

fix

fix

* fix

* [shardformer] fix llama error when transformers upgraded. (#5055)

* fix-llama

* Update llama.py

* [hotfix]: modify create_ep_hierarchical_group and add test (#5032)

* feat: modify create_ep_hierarchical_group args

* test: add ep tests

* fix: remove get_process_group_ranks

* fix: fix src_rank

* [exampe] fix llama example' loss error when using gemini plugin (#5060)

fix llama example

* [inference] Refactor inference architecture (#5057)

* [inference] support only TP (#4998)

* support only tp

* enable tp

* add support for bloom (#5008)

* [refactor] refactor gptq and smoothquant llama (#5012)

* refactor gptq and smoothquant llama

* fix import error

* fix linear import torch-int

* fix smoothquant llama import error

* fix import accelerate error

* fix bug

* fix import smooth cuda

* fix smoothcuda

* [Inference Refactor] Merge chatglm2 with pp and tp (#5023)

merge chatglm with pp and tp

* [Refactor] remove useless inference code (#5022)

* remove useless code

* fix quant model

* fix test import bug

* mv original inference legacy

* fix chatglm2

* [Refactor] refactor policy search and quant type controlling in inference (#5035)

* [Refactor] refactor policy search and quant type controling in inference

* [inference] update readme (#5051)

* update readme

* update readme

* fix architecture

* fix table

* fix table

* [inference] udpate example (#5053)

* udpate example

* fix run.sh

* fix rebase bug

* fix some errors

* update readme

* add some features

* update interface

* update readme

* update benchmark

* add requirements-infer

---------

Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>

* [Kernels]added flash-decoidng of triton (#5063)

* added flash-decoidng of triton based on lightllm kernel

* add req

* clean

* clean

* delete build.sh

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>

* [misc] remove outdated submodule (#5070)

* [npu] add npu support for gemini and zero (#5067)

* [npu] setup device utils (#5047)

* [npu] add npu device support

* [npu] support low level zero

* [test] update npu zero plugin test

* [hotfix] fix import

* [test] recover tests

* [npu] gemini support npu (#5052)

* [npu] refactor device utils

* [gemini] support npu

* [example] llama2+gemini support npu

* [kernel] add arm cpu adam kernel (#5065)

* [kernel] add arm cpu adam

* [optim] update adam optimizer

* [kernel] arm cpu adam remove bf16 support

* [hotfix/hybridengine] fix bug when tp*pp size = 1 (#5069)

* [inference] update examples and engine (#5073)

* update examples and engine

* fix choices

* update example

* [format] applied code formatting on changed files in pull request 5067 (#5072)

Co-authored-by: github-actions <github-actions@github.com>

* [hotfix/hybridengine] Fix init model with random parameters in benchmark (#5074)

* fix init model with random parameters

* fix example

* [inference] refactor examples and fix schedule (#5077)

* [setup] refactor infer setup

* [hotfix] fix infenrece behavior on 1 1 gpu

* [exmaple] refactor inference examples

* fix thrust-transform-reduce error (#5078)

* [nfc] fix typo in docs/ (#4972)

* [nfc] fix typo and author name (#5089)

* [gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range (#5085)

* [Hotfix] Fix model policy matching strategy in ShardFormer (#5064)

* hotfix/Fix get model policy strategy in ShardFormer

* fix bug in auto policy

* [shardformer]fix flash attention, when mask is casual, just don't unpad it (#5084)

* fix flash attn

* fix

fix

* [npu] add npu support for hybrid plugin and llama (#5090)

* llama 3d

* update

* fix autocast

* [Feature] Add document retrieval QA (#5020)

* add langchain

* add langchain

* Add files via upload

* add langchain

* fix style

* fix style: remove extra space

* add pytest; modified retriever

* add pytest; modified retriever

* add tests to build_on_pr.yml

* fix build_on_pr.yml

* fix build on pr; fix environ vars

* seperate unit tests for colossalqa from build from pr

* fix container setting; fix environ vars

* commented dev code

* add incremental update

* remove stale code

* fix style

* change to sha3 224

* fix retriever; fix style; add unit test for document loader

* fix ci workflow config

* fix ci workflow config

* add set cuda visible device script in ci

* fix doc string

* fix style; update readme; refactored

* add force log info

* change build on pr, ignore colossalqa

* fix docstring, captitalize all initial letters

* fix indexing; fix text-splitter

* remove debug code, update reference

* reset previous commit

* update LICENSE update README add key-value mode, fix bugs

* add files back

* revert force push

* remove junk file

* add test files

* fix retriever bug, add intent classification

* change conversation chain design

* rewrite prompt and conversation chain

* add ui v1

* ui v1

* fix atavar

* add header

* Refactor the RAG Code and support Pangu

* Refactor the ColossalQA chain to Object-Oriented Programming and the UI demo.

* resolved conversation. tested scripts under examples. web demo still buggy

* fix ci tests

* Some modifications to add ChatGPT api

* modify llm.py and remove unnecessary files

* Delete applications/ColossalQA/examples/ui/test_frontend_input.json

* Remove OpenAI api key

* add colossalqa

* move files

* move files

* move files

* move files

* fix style

* Add Readme and fix some bugs.

* Add something to readme and modify some code

* modify a directory name for clarity

* remove redundant directory

* Correct a type in  llm.py

* fix AI prefix

* fix test_memory.py

* fix conversation

* fix some erros and typos

* Fix a missing import in RAG_ChatBot.py

* add colossalcloud LLM wrapper, correct issues in code review

---------

Co-authored-by: YeAnbang <anbangy2@outlook.com>
Co-authored-by: Orion-Zheng <zheng_zian@u.nus.edu>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>

* remove duplicate import (#5100)

* fix typo change lazy_iniy to lazy_init (#5099)

* [nfc] fix typo change directoty to directory (#5111)

* [FEATURE] Add Safety Eval Datasets to ColossalEval (#5095)

* add safetybench and cvalues(responsibility) eval dataset

* Modify code according to review suggestions

---------

Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>

* [hotfix] fixed memory usage of shardformer module replacement (#5122)

* [shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert (#5088)

* [shardformer] implement policy for all GPT-J models and test

* [shardformer] support interleaved pipeline parallel for bert finetune

* [shardformer] shardformer support falcon (#4883)

* [shardformer]: fix interleaved pipeline for bert model (#5048)

* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093)

* Add Mistral support for Shardformer (#5103)

* [shardformer] add tests to mistral (#5105)

---------

Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>

* [doc] add moe news (#5128)

* [doc] add moe news

* [doc] add moe news

* [doc] add moe news

* [doc] updated paper citation (#5131)

* fix typo change JOSNL TO JSONL etc. (#5116)

* [format] applied code formatting on changed files in pull request 5088 (#5127)

Co-authored-by: github-actions <github-actions@github.com>

* [format] applied code formatting on changed files in pull request 5124 (#5125)

Co-authored-by: github-actions <github-actions@github.com>

* [format] applied code formatting on changed files in pull request 5115 (#5118)

Co-authored-by: github-actions <github-actions@github.com>

* [accelerator] init the accelerator module (#5129)

* [accelerator] init the accelerator module

* polish code

* polish code

* polish code

* polish code

* [npu] support triangle attention for llama (#5130)

* update fused attn

* update spda

* tri attn

* update triangle

* import

* fix

* fix

* [plugin]fix 3d checkpoint load when booster boost without optimizer. (#5135)

* fix 3d checkpoint load when booster boost without optimizer

fix 3d checkpoint load when booster boost without optimizer

* test ci

* revert ci

* fix

fix

* [ColossalQA] refactor server and webui & add new feature (#5138)

* refactor server and webui & add new feature

* add requirements

* modify readme and ui

* [doc] fix colossalqa document (#5146)

* fix doc

* modify doc

* fix (#5158)

fix

* [Colossal-Llama-2] Add finetuning Colossal-Llama-2 example (#4878)

* Add finetuning Colossal-Llama-2 example

* Add finetuning Colossal-Llama-2 example 2

* Add finetuning Colossal-Llama-2 example and support NEFTuning

* Add inference example and refine neftune

* Modify readme file

* update the imports

---------

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>

* [gemini]  hotfix NaN loss while using Gemini + tensor_parallel (#5150)

* fix

aaa

fix

fix

fix

* fix

* fix

* test ci

* fix ci

fix

* [colossalqa] fix pangu api (#5170)

* fix pangu api

* add comment

* [ColossalEval] Support GSM, Data Leakage Evaluation and Tensor Parallel (#5169)

* Support GSM, Data Leakage Evaluation and Tensor Parallel

* remove redundant code and update inference.py in examples/gpt_evaluation

---------

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>

* [shardformer] llama support DistCrossEntropy (#5176)

* fix

aaa

fix

fix

fix

* fix

* fix

* test ci

* fix ci

fix

* llama support dist-cross

fix

fix

fix

fix

fix

fix

fix

fix

* fix

* fix

* fix

fix

* test ci

* test ci

* fix

* [Colossal-Llama-2] Add finetuning Colossal-Llama-2 example (#4878)

* Add finetuning Colossal-Llama-2 example

* Add finetuning Colossal-Llama-2 example 2

* Add finetuning Colossal-Llama-2 example and support NEFTuning

* Add inference example and refine neftune

* Modify readme file

* update the imports

---------

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>

* llama support dist-cross

fix

fix

fix

fix

fix

fix

fix

fix

* fix

* fix

* fix

fix

* test ci

* test ci

* fix

* fix ci

* fix ci

---------

Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>

* Fix ColossalEval (#5186)

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>

* [doc] update pytorch version in documents. (#5177)

* fix

aaa

fix

fix

fix

* fix

* fix

* test ci

* fix ci

fix

* update pytorch version in documents

* polish readme in application/chat (#5194)

* [pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp (#5134)

* test: add more p2p tests

* fix: remove send_forward_recv_forward as p2p op list need to use the same group

* fix: make send and receive atomic

* feat: update P2PComm fn

* feat: add metadata cache in 1f1b

* feat: add metadata cache in interleaved pp

* feat: modify is_xx_stage fn

* revert: add _broadcast_object_list

* feat: add interleaved pp in llama policy

* feat: set NCCL_BUFFSIZE in HybridParallelPlugin

* Improve logic for selecting metrics (#5196)

Co-authored-by: Xu <yuanchen.xu00@gmail.com>

* [doc] Update required third-party library list for testing and torch comptibility checking (#5207)

* doc/update requirements-test.txt

* update torch-cuda compatibility check

* support linear accumulation fusion (#5199)

support linear accumulation fusion

support linear accumulation fusion

fix

* [pipeline]: support arbitrary batch size in forward_only mode (#5201)

* fix: remove drop last in val & test dataloader

* feat: add run_forward_only, support arbitrary bs

* chore: modify ci script

* [pipeline]: add p2p fallback order and fix interleaved pp deadlock (#5214)

* fix: add fallback order option and update 1f1b

* fix: fix deadlock comm in interleaved pp

* test: modify p2p test

* [devops] update torch versoin in ci (#5217)

* fix-test (#5210)

fix-test

fix-test

* fix flash attn (#5209)

* [nfc] fix typo colossalai/shardformer/ (#5133)

* [Colossal-LLaMA-2] Release Colossal-LLaMA-2-13b-base model (#5224)

* update readme

* update readme

* update link

* update

* update readme

* update

* update

* update

* update title

* update example

* update example

* fix content

* add conclusion

* add license

* update

* update

* update version

* fix minor

* [doc] Update README.md of Colossal-LLAMA2 (#5233)

* Update README.md

* Update README.md

* [doc] Make leaderboard format more uniform and good-looking (#5231)

* Make leaderboard format more unifeid and good-looking

* Update README.md

* Update README.md

* [doc] add Colossal-LLaMA-2-13B (#5234)

* [doc] add Colossal-LLaMA-2-13B

* [doc] add Colossal-LLaMA-2-13B

* [doc] add Colossal-LLaMA-2-13B

* [format] applied code formatting on changed files in pull request 5234 (#5235)

Co-authored-by: github-actions <github-actions@github.com>

* [doc] SwiftInfer release (#5236)

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [npu] use extension for op builder (#5172)

* update extension

* update cpu adam

* update is

* add doc for cpu adam

* update kernel

* update commit

* update flash

* update memory efficient

* update flash attn

* update flash attention loader

* update api

* fix

* update doc

* update example time limit

* reverse change

* fix doc

* remove useless kernel

* fix

* not use warning

* update

* update

* [pipeline] A more general _communicate in p2p (#5062)

* A more general _communicate

* feat: finish tree_flatten version p2p

* fix: update p2p api calls

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [npu] change device to accelerator api (#5239)

* update accelerator

* fix timer

* fix amp

* update

* fix

* update bug

* add error raise

* fix autocast

* fix set device

* remove doc accelerator

* update doc

* update doc

* update doc

* use nullcontext

* update cpu

* update null context

* change time limit for example

* udpate

* update

* update

* update

* [npu] polish accelerator code

---------

Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>

* [hotfix] removed unused flag (#5242)

* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247)

* [workflow] fixed build CI (#5240)

* [workflow] fixed build CI

* polish

* polish

* polish

* polish

* polish

* [ci] fixed booster test (#5251)

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed ddp test (#5254)

* [ci] fixed ddp test

* polish

* fix typo in  applications/ColossalEval/README.md (#5250)

* [ci] fix shardformer tests. (#5255)

* fix ci

fix

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [doc] fix doc typo (#5256)

* [doc] fix annotation display

* [doc] fix llama2 doc

* [hotfix]: add pp sanity check and fix mbs arg (#5268)

* fix: fix misleading mbs arg

* feat: add pp sanity check

* fix: fix 1f1b sanity check

* [workflow] fixed incomplete bash command (#5272)

* [workflow] fixed oom tests (#5275)

* [workflow] fixed oom tests

* polish

* polish

* polish

* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276)

* fix ci

fix

* fix test

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

* fix

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [shardformer] hybridparallelplugin support gradients accumulation. (#5246)

* support gradients acc

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

* fix

fix

* fix

fix

fix

* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230)

* fix auto loading gpt2 tokenizer (#5279)

* [doc] add llama2-13B disyplay (#5285)

* Update README.md

* fix 13b typo

---------

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* fix llama pretrain (#5287)

* [hotfix] fix 3d plugin test (#5292)

* fix bug for mefture (#5299)

* [NFC] polish applications/Colossal-LLaMA-2/colossal_llama2/tokenizer/init_tokenizer.py code style (#5228)

* fix some typo (#5307)

* [feat] refactored extension module (#5298)

* [feat] refactored extension module

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* [workflow] updated CI image (#5318)

* [accelerator] fixed npu api

* [tests] fix t5 test. (#5322)

* [ci] fix shardformer tests. (#5255)

* fix ci

fix

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* fix t5 test

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [doc] added docs for extensions (#5324)

* [doc] added docs for extensions

* polish

* polish

* fix typo under extensions/ (#5330)

* fix typo change dosen't to doesn't (#5308)

* [extension] fixed exception catch (#5342)

* [Chat] fix sft loss nan (#5345)

* fix script

* fix script

* fix chat nan

* fix chat nan

* [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

* [fix] remove unnecessary dp_size assert  (#5351)

* fix: remove unnecessary assert

* test: add more 3d plugin tests

* fix: add warning

* [gemini] fix param op hook when output is tuple (#5355)

* [gemini] fix param op hook when output is tuple

* [gemini] fix param op hook

* [llama] fix dataloader for hybrid parallel (#5358)

* [plugin] refactor prepare dataloader

* [plugin] update train script

* [llama] update training script (#5360)

* [llama] update training script

* [doc] polish docstr

* [llama] add flash attn patch for npu (#5362)

* [llama] fix neftune & pbar with start_step (#5364)

* [eval] update llama npu eval (#5366)

* [llama] polish training script and fix optim ckpt (#5368)

* [lr-scheduler] fix load state dict and add test (#5369)

* [llama] fix memory issue (#5371)

* [llama] fix memory issue

* [llama] add comment

* [moe] init mixtral impl

* [moe] update capacity computing (#5253)

* [moe] top2 allow uneven input

* [moe] update capacity computing

* [moe] remove debug info

* [moe] update capacity computing

* [moe] update capacity computing

* [moe] support mixtral (#5309)

* [moe] add mixtral block for single expert

* [moe] mixtral block fwd support uneven ep

* [moe] mixtral block bwd support uneven ep

* [moe] add mixtral moe layer

* [moe] simplify replace

* [meo] support save sharded mixtral

* [meo] support load sharded mixtral

* [meo] support save sharded optim

* [meo] integrate moe manager into plug

* [meo] fix optimizer load

* [meo] fix mixtral layer

* [moe] fix mixtral checkpoint io (#5314)

* [moe] fix mixtral forward default value (#5329)

* [moe] fix mixtral optim checkpoint (#5344)

* [moe] fix tests

* [release] update version (#5380)

* [llama] fix training and inference scripts (#5384)

* [llama] refactor inference example to fit sft

* [llama] fix training script to fit gemini

* [llama] fix inference script

* [doc] Fix typo (#5361)

* [doc] updated installation command (#5389)

* [hotfix] fix variable type for top_p (#5313)

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [hotfix] Fix wrong import in meta_registry (#5392)

* [extension] hotfix jit extension setup (#5402)

* [example] reuse flash attn patch (#5400)

* [fsdp] impl save/load shard model/optimizer (#5357)

* [setup] fixed nightly release (#5388)

* [shardformer]gather llama logits (#5398)

* gather llama logits

* fix

* update requirements (#5407)

* [workflow] added pypi channel (#5412)

* [doc] fix blog link

* [doc] fix blog link

* fix sft single turn inference example (#5416)

* [example]add gpt2 benchmark example script. (#5295)

* benchmark gpt2

* fix

fix

fix

fix

* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247)

* [workflow] fixed build CI (#5240)

* [workflow] fixed build CI

* polish

* polish

* polish

* polish

* polish

* [ci] fixed booster test (#5251)

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed ddp test (#5254)

* [ci] fixed ddp test

* polish

* fix typo in  applications/ColossalEval/README.md (#5250)

* [ci] fix shardformer tests. (#5255)

* fix ci

fix

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [doc] fix doc typo (#5256)

* [doc] fix annotation display

* [doc] fix llama2 doc

* [hotfix]: add pp sanity check and fix mbs arg (#5268)

* fix: fix misleading mbs arg

* feat: add pp sanity check

* fix: fix 1f1b sanity check

* [workflow] fixed incomplete bash command (#5272)

* [workflow] fixed oom tests (#5275)

* [workflow] fixed oom tests

* polish

* polish

* polish

* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276)

* fix ci

fix

* fix test

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

* fix

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [shardformer] hybridparallelplugin support gradients accumulation. (#5246)

* support gradients acc

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

* fix

fix

* fix

fix

fix

* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230)

* fix auto loading gpt2 tokenizer (#5279)

* [doc] add llama2-13B disyplay (#5285)

* Update README.md

* fix 13b typo

---------

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* fix llama pretrain (#5287)

* fix

* fix

* fix

fix

* fix

fix

fix

* fix

fix

* benchmark gpt2

* fix

fix

fix

fix

* [workflow] fixed build CI (#5240)

* [workflow] fixed build CI

* polish

* polish

* polish

* polish

* polish

* [ci] fixed booster test (#5251)

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed booster test

* fix

fix

* fix

fix

fix

* fix

* fix

fix

fix

fix

fix

* fix

* Update shardformer.py

---------

Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>

* [doc] sora release (#5425)

* [doc] sora release

* [doc] sora release

* [doc] sora release

* [doc] sora release

* [devops] fix extention building (#5427)

* [hotfix] fix sd vit import error (#5420)

* fix import error

* Update dpt_depth.py

---------

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [hotfix] fix typo of openmoe model source (#5403)

* [doc] update some translations with README-zh-Hans.md (#5382)

* [hotfix] fix typo change _descrption to _description (#5331)

* [hotfix] fix typo change enabel to enable under colossalai/shardformer/ (#5317)

* [eval-hotfix] set few_shot_data to None when few shot is disabled (#5422)

* [hotfix] fix typo change MoECheckpintIO to MoECheckpointIO (#5335)

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [doc] Fix typo s/infered/inferred/ (#5288)

Signed-off-by: hugo-syn <hugo.vincent@synacktiv.com>

* [hotfix] fix stable diffusion inference bug. (#5289)

* Update train_ddp.yaml

delete  "strategy" to fix DDP config loading bug in "main.py"

* Update train_ddp.yaml

fix inference with scripts/txt2img.py config file load bug.

* Update README.md

add pretrain model test code.

* [colossal-llama2] add stream chat examlple for chat version model (#5428)

* add stream chat for chat version

* remove os.system clear

* modify function name

* [release] update version (#5411)

* fix tensor data update for gemini loss caluculation (#5442)

* [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

* [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>

* [doc] fix ColossalMoE readme (#5599)

* fix readme

* [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>

* [zero] support multiple (partial) backward passes (#5596)

* [zero] support multiple (partial) backward passes

* [misc] update requirements

* [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

* fi…
wangbluo pushed a commit to wangbluo/ColossalAI that referenced this pull request May 7, 2024
* [branch rebase] rebase main to Feature/resize_embedding (hpcaitech#5554)

* fix

* [release] update version (hpcaitech#5411)

* [hotfix] fix typo s/keywrods/keywords etc. (hpcaitech#5429)

* [devops] fix compatibility (hpcaitech#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 (hpcaitech#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 (hpcaitech#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 (hpcaitech#5479)

* [doc] update open-sora demo

* [doc] update open-sora demo

* [doc] update open-sora demo

* [example] add grok-1 inference (hpcaitech#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 (hpcaitech#5577)

* fix

* [release] update version (hpcaitech#5411)

* [hotfix] fix typo s/keywrods/keywords etc. (hpcaitech#5429)

* [devops] fix compatibility (hpcaitech#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 (hpcaitech#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 (hpcaitech#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 (hpcaitech#5479)

* [doc] update open-sora demo

* [doc] update open-sora demo

* [doc] update open-sora demo

* [example] add grok-1 inference (hpcaitech#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 (hpcaitech#5581)

* [release] grok-1 314b inference (hpcaitech#5490)

* [release] grok-1 inference

* [release] grok-1 inference

* [release] grok-1 inference

* [example] update Grok-1 inference (hpcaitech#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 (hpcaitech#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 (hpcaitech#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. (hpcaitech#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 (hpcaitech#5506)

* [devops] fix example test ci (hpcaitech#5504)

* Fix ColoTensorSpec for py11 (hpcaitech#5440)

* fixed layout converter caching and updated tester

* Empty-Commit

* [shardformer] update colo attention to support custom mask (hpcaitech#5510)

* [feature] refactor colo attention (hpcaitech#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 (hpcaitech#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 (hpcaitech#5514)

* [test] fix shardformer tests

* [test] fix shardformer tests

* [format] applied code formatting on changed files in pull request 5510 (hpcaitech#5517)

Co-authored-by: github-actions <github-actions@github.com>

* [shardformer] fix pipeline forward error if custom layer distribution is used (hpcaitech#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 (hpcaitech#5532)

* [fix] use tokenizer from the same pretrained path

* trust remote code

* [ColossalChat] Update RLHF V2 (hpcaitech#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 (hpcaitech#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 (hpcaitech#5545)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [shardformer] Sequence Parallelism Optimization (hpcaitech#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 (hpcaitech#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 (hpcaitech#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 (hpcaitech#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 (hpcaitech#5559)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [fix] fix typo s/muiti-node /multi-node etc. (hpcaitech#5448)

* [hotfix] fix typo s/get_defualt_parser /get_default_parser (hpcaitech#5548)

* [devops] remove post commit ci (hpcaitech#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>

---------

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* [shardformer]enable padding vocabulary size. (hpcaitech#5489)

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

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* fix gather output

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* revert

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* fxi

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* fix

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* Update hybrid_parallel_plugin.py

fix

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* fix

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* resolve super init

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* resolve comments

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* [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

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* fix

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* fix resize embedding

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix ci

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix

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* revert moe modify

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix

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* ptensor

ptensor

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---------

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* fix rebase

* fix rebase

---------

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[BUG]: HybridParallelOptimizer holds unsharded model parameters after sharding
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