Hongxin Liu
8241c0c054
[fp8] support gemini plugin ( #5978 )
...
* [fp8] refactor hook
* [fp8] support gemini plugin
* [example] add fp8 option for llama benchmark
4 months ago
Hanks
b480eec738
[Feature]: support FP8 communication in DDP, FSDP, Gemini ( #5928 )
...
* support fp8_communication in the Torch DDP grad comm, FSDP grad comm, and FSDP params comm
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* implement communication hook for FSDP params all-gather
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* support fp8 communication in GeminiPlugin
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* fixed some minor bugs observed in unit test
* add all_gather_into_tensor_flat_fp8
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* add skip the test if torch < 2.2.0
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* add skip the test if torch < 2.2.0
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---------
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4 months ago
botbw
8e718a1421
[gemini] fixes for benchmarking ( #5847 )
...
* [gemini] fix missing return
* [gemini] fix missing arg pass
* [gemini] use gather tensor instead of list
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---------
Co-authored-by: genghaozhe <939857490@qq.com>
5 months ago
botbw
8a5c86439a
[gemini] fix missing return ( #5845 )
5 months ago
botbw
3bcbba9262
[gemini] quick fix on possible async operation ( #5803 )
...
* [gemini] quick fix on possible async operation
* [gemini] quick fix on possible async operation
5 months ago
Haze188
d9dddf574f
[Gemini] Use async stream to prefetch and h2d data moving ( #5781 )
...
* use async stream to prefetch and h2d data moving
* Remove redundant code
5 months ago
botbw
3f7e3131d9
[gemini] optimize reduce scatter d2h copy ( #5760 )
...
* [gemini] optimize reduce scatter d2h copy
* [fix] fix missing reduce variable
* [refactor] remove legacy async reduce scatter code
* [gemini] missing sync
* Revert "[refactor] remove legacy async reduce scatter code"
This reverts commit 58ad76d466
.
* [gemini] further optimize with async all reduce
* [fix] pass flag from manager to chunk
6 months ago
hxwang
8547562884
[chore] remove unnecessary assert since compute list might not be recorded
6 months ago
hxwang
e5e3320948
[bug] continue fix
6 months ago
hxwang
936dd96dbb
[bug] workaround for idx fix
6 months ago
botbw
2fc85abf43
[gemini] async grad chunk reduce (all-reduce&reduce-scatter) ( #5713 )
...
* [gemini] async grad chunk reduce (all-reduce&reduce-scatter)
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* [gemini] add test
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* [gemini] use tensor counter
* [gemini] change default config in GeminiPlugin and GeminiDDP
* [chore] typo
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---------
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6 months ago
botbw
13c06d36a3
[bug] fix early return ( #5740 )
...
* [bug] fix silly bug
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* [chore] add test for prefetch
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6 months ago
pre-commit-ci[bot]
b3c0e6d871
[pre-commit.ci] auto fixes from pre-commit.com hooks
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6 months ago
hxwang
137a7c341b
[chore] fix init error
6 months ago
genghaozhe
90d8d0183c
remove personal comments
6 months ago
genghaozhe
bfcb2d1ff8
refactor the code structure to solve the circular import
6 months ago
genghaozhe
1ec92d29af
remove perf log, unrelated file and so on
6 months ago
genghaozhe
5c6c5d6be3
remove comments
6 months ago
genghaozhe
df63db7e63
remote comments
6 months ago
genghaozhe
d22bf30ca6
implement auto policy prefetch and modify a little origin code.
6 months ago
pre-commit-ci[bot]
f1918e18a5
[pre-commit.ci] auto fixes from pre-commit.com hooks
...
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6 months ago
hxwang
a55a9e298b
[gemini] init auto policy prefetch
6 months ago
genghaozhe
06a3a100b3
remove unrelated code
6 months ago
genghaozhe
3d625ca836
add some todo Message
6 months ago
botbw
e57812c672
[chore] Update placement_policy.py
6 months ago
genghaozhe
013690a86b
remove set(all_chunks)
6 months ago
hxwang
6efbadba25
[chore] remove debugging info
6 months ago
hxwang
20701d4533
[chore] remove print
6 months ago
hxwang
f45f8a2aa7
[gemini] maxprefetch means maximum work to keep
6 months ago
pre-commit-ci[bot]
6bbe956316
[pre-commit.ci] auto fixes from pre-commit.com hooks
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6 months ago
hxwang
2e68eebdfe
[chore] refactor & sync
6 months ago
hxwang
4148ceed9f
[gemini] use compute_chunk to find next chunk
6 months ago
hxwang
b2e9745888
[chore] sync
6 months ago
hxwang
6e38eafebe
[gemini] prefetch chunks
6 months ago
flybird11111
d4c5ef441e
[gemini]remove registered gradients hooks ( #5696 )
...
* fix gemini
fix gemini
* fix
fix
7 months ago
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 )
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* [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
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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
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---------
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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
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* [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 )
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* update transformers
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* [test] fix llama test (#5638 )
* [gemini] fix buffer cast (#5639 )
* Fix shardformer upgrade (#5640 )
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* fix the mistral
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* [shardformer]support pipeline parallelism for mistral. (#5642 )
* [shardformer] fix attn replacement (#5636 )
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* update transformers
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fix
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---------
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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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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [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
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* [test] fix llama test (#5638 )
* [gemini] fix buffer cast (#5639 )
* support pp for mistral
* fix
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fix
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---------
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>
---------
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: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
7 months ago
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
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---------
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 )
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* [devops] fix compatibility (#5444 )
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* [test] decrease test duration
* fix falcon
* [shardformer] fix gathering output when using tensor parallelism (#5431 )
* fix
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padding vocab_size when using pipeline parallellism
fix
fix
* fix
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fix
fix
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fix resize embedding
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fix
* revert
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* [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
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---------
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
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* fix
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fix resize embedding
fix resize embedding
* fix resize embedding
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* revert
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* 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
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* restore build_or_pr
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* 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
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* debug sft
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* add dummy data generation script
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* update readme
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* update readme and ignore
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---------
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
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* 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
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* fix sp compatability
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* using all_to_all_single when batch size is 1
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* support llama7B 128k with distributed attention
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* automatically enable flash attn when using sp mode 2 and 3 in llama
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* loose tensor checking atol and rtol
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* fix zero grad
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* 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
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* sequence parallel: inside text split
* miscellaneous minor fixes
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* fix llama and gpt sp
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* remove zero_stage and unbind the grad sync for alltoall sp
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* move ulysses grad sync to ddp
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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 )
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
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* [shardformer]enable padding vocabulary size. (#5489 )
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7 months ago
Hongxin Liu
7303801854
[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
9 months ago
Hongxin Liu
ffffc32dc7
[checkpointio] fix gemini and hybrid parallel optim checkpoint ( #5347 )
...
* [checkpointio] fix hybrid parallel optim checkpoint
* [extension] fix cuda extension
* [checkpointio] fix gemini optimizer checkpoint
* polish code
10 months ago
Frank Lee
7cfed5f076
[feat] refactored extension module ( #5298 )
...
* [feat] refactored extension module
* polish
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10 months ago
digger yu
bce9499ed3
fix some typo ( #5307 )
10 months ago
Hongxin Liu
d202cc28c0
[npu] change device to accelerator api ( #5239 )
...
* update accelerator
* fix timer
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---------
Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
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11 months ago
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
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* [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 )
---------
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1 year ago
flybird11111
4ccb9ded7d
[gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range ( #5085 )
1 year ago
github-actions[bot]
8921a73c90
[format] applied code formatting on changed files in pull request 5067 ( #5072 )
...
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1 year ago
Hongxin Liu
e5ce4c8ea6
[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
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* [kernel] add arm cpu adam kernel (#5065 )
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
1 year ago
flybird11111
3e02154710
[gemini] gemini support extra-dp ( #5043 )
...
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1 year ago
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
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* 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 )
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* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
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* [gemini] support gradient accumulation (#4869 )
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* [hotfix] fix torch 2.0 compatibility (#4936 )
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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 )
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---------
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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
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* [test] update gemini test
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* [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
---------
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* [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
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* llama infer
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---------
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* [inference] Async dynamic batching (#4894 )
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* 1
* [inference]Re push async dynamic batching (#4901 )
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---------
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* 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
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* [infer]Add Ray Distributed Environment Init Scripts (#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250
.
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---------
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* add assertion for config (#4947 )
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---------
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* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention (#4965 )
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---------
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* fix ColossalEval (#4992 )
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* [doc]Update doc for colossal-inference (#4989 )
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---------
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* [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 )
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* [release] update version (#4995 )
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---------
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1 year ago
Baizhou Zhang
d99b2c961a
[hotfix] fix grad accumulation plus clipping for gemini ( #5002 )
1 year ago
Baizhou Zhang
21ba89cab6
[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
1 year ago