Commit Graph

73 Commits (785cd9a9c971aa58e6f8c76575111a4aa4d9513b)

Author SHA1 Message Date
Wang Binluo 537f6a3855
[Shardformer]fix the num_heads assert for llama model and qwen model (#5704)
* fix the num_heads assert

* fix the transformers import

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

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* fix the import

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-05-10 15:33:39 +08:00
Wang Binluo a3cc68ca93
[Shardformer] Support the Qwen2 model (#5699)
* feat: support qwen2 model

* fix: modify model config and add Qwen2RMSNorm

* fix qwen2 model conflicts

* test: add qwen2 shard test

* to: add qwen2 auto policy

* support qwen model

* fix the conflicts

* add try catch

* add transformers version for qwen2

* add the ColoAttention for the qwen2 model

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

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* add the unit test version check

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

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* fix the test input bug

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

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* fix the version check

* fix the version check

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-05-09 20:04:25 +08:00
wangbluo 4e50cce26b fix the mistral model 2024-05-07 09:17:56 +00:00
wangbluo a8408b4d31 remove comment code 2024-05-07 07:08:56 +00:00
pre-commit-ci[bot] ca56b93d83 [pre-commit.ci] auto fixes from pre-commit.com hooks
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2024-05-07 07:07:09 +00:00
wangbluo 108ddfb795 add parallel_output for the opt model 2024-05-07 07:05:53 +00:00
wangbluo 2632916329 remove useless code 2024-05-01 09:23:43 +00:00
wangbluo 9efc79ef24 add parallel output for mistral model 2024-04-30 08:10:20 +00:00
flybird11111 6af6d6fc9f
[shardformer] support bias_gelu_jit_fused for models (#5647)
* support gelu_bias_fused for gpt2

* support gelu_bias_fused for gpt2

fix

fix

fix

* fix

fix

* fix
2024-04-29 15:33:51 +08:00
Hongxin Liu 1b387ca9fe
[shardformer] refactor pipeline grad ckpt config (#5646)
* [shardformer] refactor pipeline grad ckpt config

* [shardformer] refactor pipeline grad ckpt config

* [pipeline] fix stage manager
2024-04-25 15:19:30 +08:00
Hongxin Liu bbb2c21f16
[shardformer] fix chatglm implementation (#5644)
* [shardformer] fix chatglm policy

* [shardformer] fix chatglm flash attn

* [shardformer] update readme

* [shardformer] fix chatglm init

* [shardformer] fix chatglm test

* [pipeline] fix chatglm merge batch
2024-04-25 14:41:17 +08:00
flybird11111 5d88ef1aaf
[shardformer] remove useless code (#5645) 2024-04-25 13:46:39 +08:00
Wang Binluo 0d0a582033
[shardformer] update transformers (#5583)
* flash_attention forward upgrade

* llama_model_forward

* remove useless comment

* update the requirements.txt

* add the transformers version requirements

* remove the LATEST VERSION try

* [shardformer] update bloom model (#5518)

* update bloom model

* remove the version restriction

* [shardformer] update_falcon (#5520)

* [shardformer] update mistral model (#5511)

* [shardformer] update gpt2 (#5502)

* [shardformer] update gptj model (#5503)

* [shardformer] update opt (#5522)

* [shardformer] update t5 model (#5524)

* [shardformer] update whisper model (#5529)

* [shardformer] update vit model (#5530)

* update vit model

* remove the output_hidden_states

* [shardformer] fix llama modeling

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

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

* [zero] support multiple (partial) backward passes

* [misc] update requirements

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

* [zero] support multiple (partial) backward passes

* [misc] update requirements

* fix conflicts

* [doc] fix ColossalMoE readme (#5599)

* fix readme

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

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* merge with main

* merge with main

* llama_model_forward

* remove useless comment

* remove the LATEST VERSION try

* [shardformer] update bloom model (#5518)

* update bloom model

* remove the version restriction

* [shardformer] update mistral model (#5511)

* [shardformer] update opt (#5522)

* [shardformer] update whisper model (#5529)

* [shardformer] fix llama modeling

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* [hotfix] Fix examples no pad token & auto parallel codegen bug; (#5606)

* fix no pad token bug

* fixed some auto parallel codegen bug, but might not run on torch 2.1

---------

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

* [shardformer] fix pipeline grad ckpt (#5620)

* [shardformer] fix pipeline grad ckpt

* [shardformer] fix whisper (#5628)

* [test] fix llama model test

* fix the opt upgrade (#5634)

* [shardformer] fix attn replacement (#5636)

* [shardformer] update flashattention replacement (#5637)

* update transformers

update transformers

fix

fix

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

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* [test] fix llama test (#5638)

* [gemini] fix buffer cast (#5639)

* Fix shardformer upgrade (#5640)

* fix llama model

* fix the mistral

* fix the shardformer model

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* [shardformer]support pipeline parallelism for mistral. (#5642)

* [shardformer] fix attn replacement (#5636)

* [shardformer] update flashattention replacement (#5637)

* update transformers

update transformers

fix

fix

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

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* [Feature] Support LLaMA-3 CPT and ST (#5619)

* support LLaMA-3

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* Run pre-commit

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* [exampe] update llama example (#5626)

* [plugin] support dp inside for hybriad parallel

* [example] update llama benchmark

* [example] update llama benchmark

* [example] update llama readme

* [example] update llama readme

* [example] llama3 (#5631)

* release llama3

* [release] llama3

* [release] llama3

* [release] llama3

* [release] llama3

* [test] fix llama test (#5638)

* [gemini] fix buffer cast (#5639)

* support pp for mistral

* fix

* fix

fix

fix

* fix

---------

Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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2024-04-24 22:51:50 +08:00
flybird11111 a0ad587c24
[shardformer] refactor embedding resize (#5603)
* [branch rebase] rebase main to Feature/resize_embedding (#5554)

* fix

* [release] update version (#5411)

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

* [devops] fix compatibility (#5444)

* [devops] fix compatibility

* [hotfix] update compatibility test on pr

* [devops] fix compatibility

* [devops] record duration during comp test

* [test] decrease test duration

* fix falcon

* [shardformer] fix gathering output when using tensor parallelism (#5431)

* fix

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

fix

fix

* fix

* fix

fix

fix

* fix gather output

* fix

* fix

* fix

fix resize embedding

fix resize embedding

* fix resize embedding

fix

* revert

* revert

* revert

* [doc] release Open-Sora 1.0 with model weights (#5468)

* [doc] release Open-Sora 1.0 with model weights

* [doc] release Open-Sora 1.0 with model weights

* [doc] release Open-Sora 1.0 with model weights

* [doc] update open-sora demo (#5479)

* [doc] update open-sora demo

* [doc] update open-sora demo

* [doc] update open-sora demo

* [example] add grok-1 inference (#5485)

* [misc] add submodule

* remove submodule

* [example] support grok-1 tp inference

* [example] add grok-1 inference script

* [example] refactor code

* [example] add grok-1 readme

* [exmaple] add test ci

* [exmaple] update readme

---------

Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [CI] run pre-commit (#5577)

* fix

* [release] update version (#5411)

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

* [devops] fix compatibility (#5444)

* [devops] fix compatibility

* [hotfix] update compatibility test on pr

* [devops] fix compatibility

* [devops] record duration during comp test

* [test] decrease test duration

* fix falcon

* [shardformer] fix gathering output when using tensor parallelism (#5431)

* fix

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

fix

fix

* fix

* fix

fix

fix

* fix gather output

* fix

* fix

* fix

fix resize embedding

fix resize embedding

* fix resize embedding

fix

* revert

* revert

* revert

* [doc] release Open-Sora 1.0 with model weights (#5468)

* [doc] release Open-Sora 1.0 with model weights

* [doc] release Open-Sora 1.0 with model weights

* [doc] release Open-Sora 1.0 with model weights

* [doc] update open-sora demo (#5479)

* [doc] update open-sora demo

* [doc] update open-sora demo

* [doc] update open-sora demo

* [example] add grok-1 inference (#5485)

* [misc] add submodule

* remove submodule

* [example] support grok-1 tp inference

* [example] add grok-1 inference script

* [example] refactor code

* [example] add grok-1 readme

* [exmaple] add test ci

* [exmaple] update readme

* run pre-commit

---------

Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [rebase] rebase main to resize-embedding (#5581)

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

* [release] grok-1 inference

* [release] grok-1 inference

* [release] grok-1 inference

* [example] update Grok-1 inference (#5495)

* revise grok-1 example

* remove unused arg in scripts

* prevent re-installing torch

* update readme

* revert modifying colossalai requirements

* add perf

* trivial

* add tokenizer url

* [hotfix] set return_outputs=False in examples and polish code (#5404)

* fix: simplify merge_batch

* fix: use return_outputs=False to eliminate extra memory consumption

* feat: add return_outputs warning

* style: remove `return_outputs=False` as it is the default value

* [release] grok-1 inference benchmark (#5500)

* [release] grok-1 inference benchmark

* [release] grok-1 inference benchmark

* [release] grok-1 inference benchmark

* [release] grok-1 inference benchmark

* [release] grok-1 inference benchmark

* [shardformer]Fix lm parallel. (#5480)

* fix

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

fix

fix

* fix

* fix

fix

fix

* fix gather output

* fix

* fix

* fix

fix resize embedding

fix resize embedding

* fix resize embedding

fix

* revert

* revert

* revert

* fix lm forward distribution

* fix

* test ci

* fix

* [fix] fix grok-1 example typo (#5506)

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

* Fix ColoTensorSpec for py11 (#5440)

* fixed layout converter caching and updated tester

* Empty-Commit

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

* [feature] refactor colo attention (#5462)

* [extension] update api

* [feature] add colo attention

* [feature] update sdpa

* [feature] update npu attention

* [feature] update flash-attn

* [test] add flash attn test

* [test] update flash attn test

* [shardformer] update modeling to fit colo attention (#5465)

* [misc] refactor folder structure

* [shardformer] update llama flash-attn

* [shardformer] fix llama policy

* [devops] update tensornvme install

* [test] update llama test

* [shardformer] update colo attn kernel dispatch

* [shardformer] update blip2

* [shardformer] update chatglm

* [shardformer] update gpt2

* [shardformer] update gptj

* [shardformer] update opt

* [shardformer] update vit

* [shardformer] update colo attention mask prep

* [shardformer] update whisper

* [test] fix shardformer tests (#5514)

* [test] fix shardformer tests

* [test] fix shardformer tests

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

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

* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189)

* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution

* Change static methods for t5 layer distribution to member functions

* Change static methods for whisper layer distribution to member functions

* Replace whisper policy usage with self one

* Fix test case to use non-static layer distribution methods

* fix: fix typo

---------

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

* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532)

* [fix] use tokenizer from the same pretrained path

* trust remote code

* [ColossalChat] Update RLHF V2 (#5286)

* Add dpo. Fix sft, ppo, lora. Refactor all

* fix and tested ppo

* 2 nd round refactor

* add ci tests

* fix ci

* fix ci

* fix readme, style

* fix readme style

* fix style, fix benchmark

* reproduce benchmark result, remove useless files

* rename to ColossalChat

* use new image

* fix ci workflow

* fix ci

* use local model/tokenizer for ci tests

* fix ci

* fix ci

* fix ci

* fix ci timeout

* fix rm progress bar. fix ci timeout

* fix ci

* fix ci typo

* remove 3d plugin from ci temporary

* test environment

* cannot save optimizer

* support chat template

* fix readme

* fix path

* test ci locally

* restore build_or_pr

* fix ci data path

* fix benchmark

* fix ci, move ci tests to 3080, disable fast tokenizer

* move ci to 85

* support flash attention 2

* add all-in-one data preparation script. Fix colossal-llama2-chat chat template

* add hardware requirements

* move ci test data

* fix save_model, add unwrap

* fix missing bos

* fix missing bos; support grad accumulation with gemini

* fix ci

* fix ci

* fix ci

* fix llama2 chat template config

* debug sft

* debug sft

* fix colossalai version requirement

* fix ci

* add sanity check to prevent NaN loss

* fix requirements

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* update readme

* update readme

* update readme and ignore

* fix logger bug

* support parallel_output

* modify data preparation logic

* fix tokenization

* update lr

* fix inference

* run pre-commit

---------

Co-authored-by: Tong Li <tong.li352711588@gmail.com>

* [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508)

* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`

* feat: apply `GradientCheckpointConfig` to policy and llama_forward

* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager

* fix: add optional args for `distribute_layer` and `get_stage_index`

* fix: fix changed API calls

* test: update llama tests

* style: polish `GradientCheckpointConfig`

* fix: fix pipeline utils tests

* fix incorrect sharding without zero (#5545)

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

* [shardformer] Sequence Parallelism Optimization (#5533)

* sequence parallel optimization

* validate sequence parallel in llama (code to be polished)

* shardformer api writing

* integrate sequence parallel in ShardFormer

* fix pp bugs and sp bugs for LlaMa model

* integrating ring-based sequence parallelism into ShardFormer

* [sequence parallelism]: Add fused megatron function

* integrating ring-based sequence parallelism into ShardFormer

---------

Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>

* fix bugs when useing sp and flashattention together

* fix operation function name

* support flash attention for ulysses-style sp

* clarify sp process group

* fix compatibility bugs in moe plugin

* fix fused linear bugs

* fix linear layer test

* support gpt model all-to-all sp

* modify shard data dimension (meant to be dim=-1)

* support megtron-style sp and distributed attn for llama model

* [shardformer] add megatron sp to llama

* support llama7B 128k with distributed attention

* [shardformer] robustness enhancement

* add block attn

* sp mode 1: keep input as a complete sequence

* fix sp compatability

* finish sp mode 3 support for gpt

* using all_to_all_single when batch size is 1

* support mode 2 sp in gpt2 (#5)

* [shardformer] add megatron sp to llama

* support llama7B 128k with distributed attention

* [shardformer] robustness enhancement

* add block attn

* sp mode 1: keep input as a complete sequence

* fix sp compatability

* refactor ring implementation

* support mode 2 sp in gpt2

* polish code

* enable distributed attn mask when using sp mode 2 and 3 in llama

* automatically enable flash attn when using sp mode 2 and 3 in llama

* inplace attn mask

* add zero2 support for sequence parallel

* polish code

* fix bugs

* fix gemini checkpoint io

* loose tensor checking atol and rtol

* add comment

* fix llama layernorm grad

* fix zero grad

* fix zero grad

* fix conflict

* update split and gather auto grad func

* sequence parallel: inside text split (#6)

* polish code (part 1)

* polish code (part 2)

* polish code (part 2.5)

* polish code (part 3)

* sequence parallel: inside text split

* miscellaneous minor fixes

* polish code

* fix ulysses style ZeRO

* sequence parallel: inside text split

* miscellaneous minor fixes

* disaggregate sp group and dp group for  sp

* fix llama and gpt sp

* polish code

* move ulysses grad sync to ddp (#9)

* remove zero_stage and unbind the grad sync for alltoall sp

* add 2d group creation test

* move ulysses grad sync to ddp

* add 2d group creation test

* remove useless code

* change shard config not to enable sp when enable_all_optimizations

* add sp warnings for several model

* remove useless code

---------

Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>

* [hotfix] quick fixes to make legacy tutorials runnable (#5559)

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

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

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

* [devops] remove post commit ci (#5566)

* [devops] remove post commit ci

* [misc] run pre-commit on all files

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

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

fix

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* fix

* fix

fix

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* fix gather output

* fix

* fix

* fix

fix resize embedding

fix resize embedding

* fix resize embedding

fix

* revert

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* revert

* padding vocab

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* fix

* fix

* fxi

* test ci

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* Update hybrid_parallel_plugin.py

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* resolve super init

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* resolve comments

* fix

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

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* vocab checkpointio

* padding vocab_size when using pipeline parallellism

padding vocab_size when using pipeline parallellism

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* fix

fix

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* fix

* fix

fix resize embedding

fix resize embedding

* fix resize embedding

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* revert

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

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

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* fix

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* revert moe modify

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

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* fix

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* ptensor

ptensor

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* fix rebase

* fix rebase

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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>
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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2024-04-18 16:10:18 +08:00
Zhongkai Zhao 8e412a548e
[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>
2024-04-03 17:15:47 +08:00
Wenhao Chen e614aa34f3
[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
2024-04-01 11:34:58 +08:00
github-actions[bot] e6707a6e8d
[format] applied code formatting on changed files in pull request 5510 (#5517)
Co-authored-by: github-actions <github-actions@github.com>
2024-03-27 11:21:03 +08:00
Hongxin Liu 19e1a5cf16
[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
2024-03-27 11:19:32 +08:00
flybird11111 0688d92e2d
[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
2024-03-25 17:21:51 +08:00
flybird11111 5e16bf7980
[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
2024-03-18 15:55:11 +08:00
digger yu 049121d19d
[hotfix] fix typo change enabel to enable under colossalai/shardformer/ (#5317) 2024-03-05 21:48:46 +08:00
flybird11111 29695cf70c
[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>
2024-03-04 16:18:13 +08:00
flybird11111 0a25e16e46
[shardformer]gather llama logits (#5398)
* gather llama logits

* fix
2024-02-27 22:44:07 +08:00
flybird11111 388179f966
[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>
2024-01-29 17:38:46 +08:00
Frank Lee 7cfed5f076
[feat] refactored extension module (#5298)
* [feat] refactored extension module

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish
2024-01-25 17:01:48 +08:00
ver217 148469348a Merge branch 'main' into sync/npu 2024-01-18 12:05:21 +08:00
Xuanlei Zhao dd2c28a323
[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
2024-01-08 11:39:16 +08:00
flybird11111 451e9142b8
fix flash attn (#5209) 2024-01-03 14:39:53 +08:00
flybird11111 79718fae04
[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>
2023-12-13 01:39:14 +08:00
Xuanlei Zhao d6df19bae7
[npu] support triangle attention for llama (#5130)
* update fused attn

* update spda

* tri attn

* update triangle

* import

* fix

* fix
2023-11-30 14:21:30 +08:00
Wenhao Chen 7172459e74
[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>
2023-11-28 16:54:42 +08:00
Xuanlei Zhao 68fcaa2225
remove duplicate import (#5100) 2023-11-23 15:15:01 +08:00
flybird11111 aae496631c
[shardformer]fix flash attention, when mask is casual, just don't unpad it (#5084)
* fix flash attn

* fix

fix
2023-11-22 16:00:07 +08:00
Bin Jia 4e3959d316
[hotfix/hybridengine] Fix init model with random parameters in benchmark (#5074)
* fix init model with random parameters

* fix example
2023-11-20 20:15:25 +08:00
flybird11111 97cd0cd559
[shardformer] fix llama error when transformers upgraded. (#5055)
* fix-llama

* Update llama.py
2023-11-16 21:34:04 +08:00
Elsa Granger b2ad0d9e8f
[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark (#5017)
* Use p2p

* Cannot bidirectonal send p2p

* Refactor tensor creation and serialization in P2P
communication

* Fix llama forward args in flash attention

* Add flop estimate from megatron

* Support loading weight not in weight_map when strict=False in hybrid_parallel

* Use send_forward_recv_backward, etc in 1f1b

* Use dataclass for metdata
Remove torch.cuda.synchronize() as suggested

* Add comment about the torch.cuda.synchronize for potential error

* Typo

* Update hybrid_parallel_checkpoint_io.py

* Update p2p.py

* Update one_f_one_b.py

* Update p2p.py

---------

Co-authored-by: flybird11111 <1829166702@qq.com>
2023-11-16 20:15:59 +08:00
flybird11111 576a2f7b10
[gemini] gemini support tensor parallelism. (#4942)
* [colossalai]fix typo

* [inference] Add smmoothquant for llama (#4904)

* [inference] add int8 rotary embedding kernel for smoothquant (#4843)

* [inference] add smoothquant llama attention (#4850)

* add smoothquant llama attention

* remove uselss code

* remove useless code

* fix import error

* rename file name

* [inference] add silu linear fusion for smoothquant llama mlp  (#4853)

* add silu linear

* update skip condition

* catch smoothquant cuda lib exception

* prcocess exception for tests

* [inference] add llama mlp for smoothquant (#4854)

* add llama mlp for smoothquant

* fix down out scale

* remove duplicate lines

* add llama mlp check

* delete useless code

* [inference] add smoothquant llama (#4861)

* add smoothquant llama

* fix attention accuracy

* fix accuracy

* add kv cache and save pretrained

* refactor example

* delete smooth

* refactor code

* [inference] add smooth function and delete useless code for smoothquant (#4895)

* add smooth function and delete useless code

* update datasets

* remove duplicate import

* delete useless file

* refactor codes (#4902)

* rafactor code

* add license

* add torch-int and smoothquant license

* Update flash_attention_patch.py

To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer.
https://github.com/huggingface/transformers/pull/25598

* [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921)

* [kernel] support pure fp16 for cpu adam (#4896)

* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919)

* [kernel] fix cpu adam

* [test] update gemini optim test

* [format] applied code formatting on changed files in pull request 4908 (#4918)

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

* [gemini] support gradient accumulation (#4869)

* add test

* fix no_sync bug in low level zero plugin

* fix test

* add argument for grad accum

* add grad accum in backward hook for gemini

* finish implementation, rewrite tests

* fix test

* skip stuck model in low level zero test

* update doc

* optimize communication & fix gradient checkpoint

* modify doc

* cleaning codes

* update cpu adam fp16 case

* [hotfix] fix torch 2.0 compatibility (#4936)

* [hotfix] fix launch

* [test] fix test gemini optim

* [shardformer] fix vit

* [test] add no master test for low level zero plugin (#4934)

* [format] applied code formatting on changed files in pull request 4820 (#4886)

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

* [nfc] fix some typo with colossalai/ docs/ etc. (#4920)

* [Refactor] Integrated some lightllm kernels into token-attention  (#4946)

* add some req for inference

* clean codes

* add codes

* add some lightllm deps

* clean codes

* hello

* delete rms files

* add some comments

* add comments

* add doc

* add lightllm deps

* add lightllm cahtglm2 kernels

* add lightllm cahtglm2 kernels

* replace rotary embedding with lightllm kernel

* add some commnets

* add some comments

* add some comments

* add

* replace fwd kernel att1

* fix a arg

* add

* add

* fix token attention

* add some comments

* clean codes

* modify comments

* fix readme

* fix bug

* fix bug

---------

Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>

* [test] merge old components to test to model zoo (#4945)

* [test] add custom models in model zoo

* [test] update legacy test

* [test] update model zoo

* [test] update gemini test

* [test] remove components to test

* [inference] add reference and fix some bugs (#4937)

* add reference and fix some bugs

* update gptq init

---------

Co-authored-by: Xu Kai <xukai16@foxamil.com>

* [Inference]ADD Bench Chatglm2 script (#4963)

* add bench chatglm

* fix bug and make utils

---------

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

* [Pipeline inference] Combine kvcache with pipeline inference (#4938)

* merge kvcache with pipeline inference and refactor the code structure

* support ppsize > 2

* refactor pipeline code

* do pre-commit

* modify benchmark

* fix bench mark

* polish code

* add docstring and update readme

* refactor the code

* fix some logic bug of ppinfer

* polish readme

* fix typo

* skip infer test

* updated c++17 compiler flags (#4983)

* [Inference] Dynamic Batching Inference, online and offline (#4953)

* [inference] Dynamic Batching for Single and Multiple GPUs (#4831)

* finish batch manager

* 1

* first

* fix

* fix dynamic batching

* llama infer

* finish test

* support different lengths generating

* del prints

* del prints

* fix

* fix bug

---------

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

* [inference] Async dynamic batching  (#4894)

* finish input and output logic

* add generate

* test forward

* 1

* [inference]Re push async dynamic batching (#4901)

* adapt to ray server

* finish async

* finish test

* del test

---------

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

* Revert "[inference]Re push async dynamic batching (#4901)" (#4905)

This reverts commit fbf3c09e67.

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

This reverts commit fced140250.

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

This reverts commit fced140250.

* 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 fced140250.

* 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 479900c139.

* [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

[gemini] gemini support tp

* fix

fix

fix

* update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

update checkpointIO

* support fused layernorm

support fused layernorm

support fused layernorm

* update fusedlayernorm

update fusedlayernorm

update fusedlayernorm

* add sequence parallel to gemini

add sequence parallel to gemini

* fix

* fix comments

fix comments

fix comments

* fix

* fix t5

* 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>
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: Baizhou Zhang <eddiezhang@pku.edu.cn>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
Co-authored-by: Xu Kai <xukai16@foxamil.com>
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: littsk <1214689160@qq.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
2023-11-10 10:15:16 +08:00
Jianghai ef4c14a5e2
[Inference] Fix bug in ChatGLM2 Tensor Parallelism (#5014)
* fix bug

* fix

* fix multiquery

* fix multiquery

---------

Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2023-11-07 15:01:50 +08:00
Hongxin Liu 1f5d2e8062
[hotfix] fix torch 2.0 compatibility (#4936)
* [hotfix] fix launch

* [test] fix test gemini optim

* [shardformer] fix vit
2023-10-18 11:05:25 +08:00
Xu Kai d1fcc0fa4d
[infer] fix test bug (#4838)
* fix test bug

* delete useless code

* fix typo
2023-10-04 10:01:03 +08:00
Jianghai ce7ade3882
[inference] chatglm2 infer demo (#4724)
* add chatglm2

* add

* gather needed kernels

* fix some bugs

* finish context forward

* finish context stage

* fix

* add

* pause

* add

* fix bugs

* finish chatglm

* fix bug

* change some logic

* fix bugs

* change some logics

* add

* add

* add

* fix

* fix tests

* fix
2023-09-22 11:12:50 +08:00
Hongxin Liu 079bf3cb26
[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
flybird11111 c7d6975d29
[shardformer] fix GPT2DoubleHeadsModel (#4703) 2023-09-13 15:57:16 +08:00
Cuiqing Li bce0f16702
[Feature] The first PR to Add TP inference engine, kv-cache manager and related kernels for our inference system (#4577)
* [infer] Infer/llama demo (#4503)

* add

* add infer example

* finish

* finish

* stash

* fix

* [Kernels]  add inference token attention kernel (#4505)

* add token forward

* fix tests

* fix comments

* add try import triton

* add adapted license

* add tests check

* [Kernels] add necessary kernels (llama & bloom) for attention forward and kv-cache manager  (#4485)

* added _vllm_rms_norm

* change place

* added tests

* added tests

* modify

* adding kernels

* added tests:

* adding kernels

* modify

* added

* updating kernels

* adding tests

* added tests

* kernel change

* submit

* modify

* added

* edit comments

* change name

* change commnets and fix import

* add

* added

* combine codes (#4509)

* [feature] add KV cache manager for llama & bloom inference (#4495)

* add kv cache memory manager

* add stateinfo during inference

* format

* format

* rename file

* add kv cache test

* revise on BatchInferState

* file dir change

* [Bug FIx] import llama context ops fix (#4524)

* added _vllm_rms_norm

* change place

* added tests

* added tests

* modify

* adding kernels

* added tests:

* adding kernels

* modify

* added

* updating kernels

* adding tests

* added tests

* kernel change

* submit

* modify

* added

* edit comments

* change name

* change commnets and fix import

* add

* added

* fix

* add ops into init.py

* add

* [Infer] Add TPInferEngine and fix file path (#4532)

* add engine for TP inference

* move file path

* update path

* fix TPInferEngine

* remove unused file

* add engine test demo

* revise TPInferEngine

* fix TPInferEngine, add test

* fix

* Add Inference test for llama (#4508)

* add kv cache memory manager

* add stateinfo during inference

* add

* add infer example

* finish

* finish

* format

* format

* rename file

* add kv cache test

* revise on BatchInferState

* add inference test for llama

* fix conflict

* feature: add some new features for llama engine

* adapt colossalai triton interface

* Change the parent class of llama  policy

* add nvtx

* move llama inference code to tensor_parallel

* fix __init__.py

* rm tensor_parallel

* fix: fix bugs in auto_policy.py

* fix:rm some unused codes

* mv colossalai/tpinference to colossalai/inference/tensor_parallel

* change __init__.py

* save change

* fix engine

* Bug fix: Fix hang

* remove llama_infer_engine.py

---------

Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>

* [infer] Add Bloom inference policy and replaced methods (#4512)

* add bloom inference methods and policy

* enable pass BatchInferState from model forward

* revise bloom infer layers/policies

* add engine for inference (draft)

* add test for bloom infer

* fix bloom infer policy and flow

* revise bloom test

* fix bloom file path

* remove unused codes

* fix bloom modeling

* fix dir typo

* fix trivial

* fix policy

* clean pr

* trivial fix

* Revert "[infer] Add Bloom inference policy and replaced methods (#4512)" (#4552)

This reverts commit 17cfa57140.

* [Doc] Add colossal inference doc (#4549)

* create readme

* add readme.md

* fix typos

* [infer] Add Bloom inference policy and replaced methods (#4553)

* add bloom inference methods and policy

* enable pass BatchInferState from model forward

* revise bloom infer layers/policies

* add engine for inference (draft)

* add test for bloom infer

* fix bloom infer policy and flow

* revise bloom test

* fix bloom file path

* remove unused codes

* fix bloom modeling

* fix dir typo

* fix trivial

* fix policy

* clean pr

* trivial fix

* trivial

* Fix Bugs In Llama Model Forward (#4550)

* add kv cache memory manager

* add stateinfo during inference

* add

* add infer example

* finish

* finish

* format

* format

* rename file

* add kv cache test

* revise on BatchInferState

* add inference test for llama

* fix conflict

* feature: add some new features for llama engine

* adapt colossalai triton interface

* Change the parent class of llama  policy

* add nvtx

* move llama inference code to tensor_parallel

* fix __init__.py

* rm tensor_parallel

* fix: fix bugs in auto_policy.py

* fix:rm some unused codes

* mv colossalai/tpinference to colossalai/inference/tensor_parallel

* change __init__.py

* save change

* fix engine

* Bug fix: Fix hang

* remove llama_infer_engine.py

* bug fix: fix bugs about infer_state.is_context_stage

* remove pollcies

* fix: delete unused code

* fix: delete unused code

* remove unused coda

* fix conflict

---------

Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>

* [doc] add colossal inference fig (#4554)

* create readme

* add readme.md

* fix typos

* upload fig

* [NFC] fix docstring for colossal inference (#4555)

Fix docstring and comments in kv cache manager and bloom modeling

* fix docstring in llama modeling (#4557)

* [Infer] check import vllm (#4559)

* change import vllm

* import apply_rotary_pos_emb

* change import location

* [DOC] add installation req (#4561)

* add installation req

* fix

* slight change

* remove empty

* [Feature] rms-norm transfer into inference llama.py  (#4563)

* add installation req

* fix

* slight change

* remove empty

* add rmsnorm polciy

* add

* clean codes

* [infer] Fix tp inference engine (#4564)

* fix engine prepare data

* add engine test

* use bloom for testing

* revise on test

* revise on test

* reset shardformer llama (#4569)

* [infer] Fix engine - tensors on different devices (#4570)


* fix diff device in engine

* [codefactor] Feature/colossal inference (#4579)

* code factors

* remove

* change coding (#4581)

* [doc] complete README of colossal inference (#4585)

* complete fig

* Update README.md

* [doc]update readme (#4586)

* update readme

* Update README.md

* bug fix: fix bus in llama and bloom (#4588)

* [BUG FIX]Fix test engine in CI and non-vllm kernels llama forward  (#4592)

* fix tests

* clean

* clean

* fix bugs

* add

* fix llama non-vllm kernels bug

* modify

* clean codes

* [Kernel]Rmsnorm fix (#4598)

* fix tests

* clean

* clean

* fix bugs

* add

* fix llama non-vllm kernels bug

* modify

* clean codes

* add triton rmsnorm

* delete vllm kernel flag

* [Bug Fix]Fix bugs in llama (#4601)

* fix tests

* clean

* clean

* fix bugs

* add

* fix llama non-vllm kernels bug

* modify

* clean codes

* bug fix: remove rotary_positions_ids

---------

Co-authored-by: cuiqing.li <lixx3527@gmail.com>

* [kernel] Add triton layer norm & replace norm for bloom (#4609)

* add layernorm for inference

* add test for layernorm kernel

* add bloom layernorm replacement policy

* trivial: path

* [Infer] Bug fix rotary embedding in llama (#4608)

* fix rotary embedding

* delete print

* fix init seq len bug

* rename pytest

* add benchmark for llama

* refactor codes

* delete useless code

* [bench] Add bloom inference benchmark (#4621)

* add bloom benchmark

* readme - update benchmark res

* trivial - uncomment for testing (#4622)

* [Infer] add check triton and cuda version for tests (#4627)

* fix rotary embedding

* delete print

* fix init seq len bug

* rename pytest

* add benchmark for llama

* refactor codes

* delete useless code

* add check triton and cuda

* Update sharder.py (#4629)

* [Inference] Hot fix some bugs and typos (#4632)

* fix

* fix test

* fix conflicts

* [typo]Comments fix (#4633)

* fallback

* fix commnets

* bug fix: fix some bugs in test_llama and test_bloom (#4635)

* [Infer] delete benchmark in tests and fix bug for llama and bloom (#4636)

* fix rotary embedding

* delete print

* fix init seq len bug

* rename pytest

* add benchmark for llama

* refactor codes

* delete useless code

* add check triton and cuda

* delete benchmark and fix infer bugs

* delete benchmark for tests

* delete useless code

* delete bechmark function in utils

* [Fix] Revise TPInferEngine, inference tests and benchmarks (#4642)

* [Fix] revise TPInferEngine methods and inference tests

* fix llama/bloom infer benchmarks

* fix infer tests

* trivial fix: benchmakrs

* trivial

* trivial: rm print

* modify utils filename for infer ops test (#4657)

* [Infer] Fix TPInferEngine init & inference tests, benchmarks (#4670)

* fix engine funcs

* TPInferEngine: receive shard config in init

* benchmarks: revise TPInferEngine init

* benchmarks: remove pytest decorator

* trivial fix

* use small model for tests

* [NFC] use args for infer benchmarks (#4674)

* revise infer default (#4683)

* [Fix] optimize/shard model in TPInferEngine init (#4684)

* remove using orig model in engine

* revise inference tests

* trivial: rename

---------

Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
2023-09-12 01:22:56 +08:00
flybird11111 eedaa3e1ef
[shardformer]fix gpt2 double head (#4663)
* [shardformer]fix gpt2 test

[shardformer]fix gpt2 test

[shardformer]fix gpt2 test

* fix

* [shardformer] add todo

* [shardformer] add todo
2023-09-11 18:35:03 +08:00
flybird11111 7486ed7d3a
[shardformer] update llama2/opt finetune example and fix llama2 policy (#4645)
* [shardformer] update shardformer readme

[shardformer] update shardformer readme

[shardformer] update shardformer readme

* [shardformer] update llama2/opt finetune example and shardformer update to llama2

* [shardformer] update llama2/opt finetune example and shardformer update to llama2

* [shardformer] update llama2/opt finetune example and shardformer update to llama2

* [shardformer] change dataset

* [shardformer] change dataset

* [shardformer] fix CI

* [shardformer] fix

* [shardformer] fix

* [shardformer] fix

* [shardformer] fix

* [shardformer] fix

[example] update opt example

[example] resolve comments

fix

fix
2023-09-09 22:45:36 +08:00
Baizhou Zhang 295b38fecf
[example] update vit example for hybrid parallel plugin (#4641)
* update vit example for hybrid plugin

* reset tp/pp size

* fix dataloader iteration bug

* update optimizer passing in evaluation/add grad_accum

* change criterion

* wrap tqdm

* change grad_accum to grad_checkpoint

* fix pbar
2023-09-07 17:38:45 +08:00
flybird11111 3353e55c80
[shardformer] vit/llama/t5 ignore the sequence parallelism flag and some fix. (#4498)
* [shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

* fix

fix

fix

fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* [shardformer] jit fused fix

* activate checks
2023-08-24 15:50:02 +08:00
flybird11111 59e252ecdb
[shardformer] chatglm support sequence parallel (#4482)
* [shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

[shardformer] chatglm support sequence parallel

* fix

fix

fix

fix
2023-08-22 23:59:31 +08:00
Bin Jia 351351a36e
[shardformer/sequence parallel] not support opt of seq-parallel, add warning and fix a bug in gpt2 pp (#4488) 2023-08-22 17:35:35 +08:00