43995ee436
[Feature] Distributed optimizers: Lamb, Galore, CAME and Adafactor ( #5694 )
...
* [feat] Add distributed lamb; minor fixes in DeviceMesh (#5476 )
* init: add dist lamb; add debiasing for lamb
* dist lamb tester mostly done
* all tests passed
* add comments
* all tests passed. Removed debugging statements
* moved setup_distributed inside plugin. Added dist layout caching
* organize better
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [hotfix] Improve tester precision by removing ZeRO on vanilla lamb (#5576 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [optim] add distributed came (#5526 )
* test CAME under LowLevelZeroOptimizer wrapper
* test CAME TP row and col pass
* test CAME zero pass
* came zero add master and worker param id convert
* came zero test pass
* came zero test pass
* test distributed came passed
* reform code, Modify some expressions and add comments
* minor fix of test came
* minor fix of dist_came and test
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* minor fix of dist_came and test
* rebase dist-optim
* rebase dist-optim
* fix remaining comments
* add test dist came using booster api
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [optim] Distributed Adafactor (#5484 )
* [feature] solve conflict; update optimizer readme;
* [feature] update optimize readme;
* [fix] fix testcase;
* [feature] Add transformer-bert to testcase;solve a bug related to indivisible shape (induction in use_zero and tp is row parallel);
* [feature] Add transformers_bert model zoo in testcase;
* [feature] add user documentation to docs/source/feature.
* [feature] add API Reference & Sample to optimizer Readme; add state check for bert exam;
* [feature] modify user documentation;
* [fix] fix readme format issue;
* [fix] add zero=0 in testcase; cached augment in dict;
* [fix] fix percision issue;
* [feature] add distributed rms;
* [feature] remove useless comment in testcase;
* [fix] Remove useless test; open zero test; remove fp16 test in bert exam;
* [feature] Extract distributed rms function;
* [feature] add booster + lowlevelzeroPlugin in test;
* [feature] add Start_with_booster_API case in md; add Supporting Information in md;
* [fix] Also remove state movement in base adafactor;
* [feature] extract factor function;
* [feature] add LowLevelZeroPlugin test;
* [fix] add tp=False and zero=True in logic;
* [fix] fix use zero logic;
* [feature] add row residue logic in column parallel factor;
* [feature] add check optim state func;
* [feature] Remove duplicate logic;
* [feature] update optim state check func and percision test bug;
* [fix] update/fix optim state; Still exist percision issue;
* [fix] Add use_zero check in _rms; Add plugin support info in Readme; Add Dist Adafactor init Info;
* [feature] removed print & comments in utils;
* [feature] uodate Readme;
* [feature] add LowLevelZeroPlugin test with Bert model zoo;
* [fix] fix logic in _rms;
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* [fix] remove comments in testcase;
* [feature] add zh-Han Readme;
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; (#5676 )
* [feature] daily update;
* [fix] fix dist came;
* [feature] refractor dist came; fix percision error; add low level zero test with bert model zoo;
* [fix] open rms; fix low level zero test; fix dist came test function name;
* [fix] remove redundant test;
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] Add Galore (Adam, Adafactor) and distributed GaloreAdamW8bit (#5570 )
* init: add dist lamb; add debiasing for lamb
* dist lamb tester mostly done
* all tests passed
* add comments
* all tests passed. Removed debugging statements
* moved setup_distributed inside plugin. Added dist layout caching
* organize better
* update comments
* add initial distributed galore
* add initial distributed galore
* add galore set param utils; change setup_distributed interface
* projected grad precision passed
* basic precision tests passed
* tests passed; located svd precision issue in fwd-bwd; banned these tests
* Plugin DP + TP tests passed
* move get_shard_dim to d_tensor
* add comments
* remove useless files
* remove useless files
* fix zero typo
* improve interface
* remove moe changes
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix import
* fix deepcopy
* update came & adafactor to main
* fix param map
* fix typo
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Hotfix] Remove one buggy test case from dist_adafactor for now (#5692 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---------
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
6 months ago
77ec773388
[zero]remove registered gradients hooks ( #5687 )
...
* remove registered hooks
fix
fix
fix zero
fix
fix
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fix
fix
fix
* fix
fix
fix
7 months ago
7f8b16635b
[misc] refactor launch API and tensor constructor ( #5666 )
...
* [misc] remove config arg from initialize
* [misc] remove old tensor contrusctor
* [plugin] add npu support for ddp
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [devops] fix doc test ci
* [test] fix test launch
* [doc] update launch doc
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
7 months ago
91fa553775
[Feature] qlora support ( #5586 )
...
* [feature] qlora support
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* qlora follow commit
* migrate qutization folder to colossalai/
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* minor fixes
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
7 months ago
8954a0c2e2
[LowLevelZero] low level zero support lora ( #5153 )
...
* low level zero support lora
low level zero support lora
* add checkpoint test
* add checkpoint test
* fix
* fix
* fix
* fix
fix
fix
fix
* fix
* fix
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* fix
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* fix
* test ci
* git # This is a combination of 3 commits.
Update low_level_zero_plugin.py
Update low_level_zero_plugin.py
fix
fix
fix
* fix naming
fix naming
fix naming
fix
7 months ago
14b0d4c7e5
[lora] add lora APIs for booster, support lora for TorchDDP ( #4981 )
...
* add apis and peft requirement
* add liscense and implement apis
* add checkpointio apis
* add torchddp fwd_bwd test
* add support_lora methods
* add checkpointio test and debug
* delete unneeded codes
* remove peft from LICENSE
* add concrete methods for enable_lora
* simplify enable_lora api
* fix requirements
7 months ago
1b387ca9fe
[shardformer] refactor pipeline grad ckpt config ( #5646 )
...
* [shardformer] refactor pipeline grad ckpt config
* [shardformer] refactor pipeline grad ckpt config
* [pipeline] fix stage manager
7 months ago
4de4e31818
[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
7 months ago
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
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* [devops] fix compatibility
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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
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* fix
* fix
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* fix gather output
* fix
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* fix resize embedding
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* 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
* [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
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* [test] decrease test duration
* fix falcon
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* fix
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padding vocab_size when using pipeline parallellism
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* [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
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* [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
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* fix gather output
* fix
* fix
* fix
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* fix resize embedding
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* revert
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* 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
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* 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
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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
* 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
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* automatically enable flash attn when using sp mode 2 and 3 in llama
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* polish code (part 1)
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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 )
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* [devops] remove post commit ci
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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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: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [shardformer]enable padding vocabulary size. (#5489 )
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padding vocab_size when using pipeline parallellism
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padding vocab_size when using pipeline parallellism
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ptensor
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---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
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Co-authored-by: Wenhao Chen <cwher@outlook.com>
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Co-authored-by: Insu Jang <insujang@umich.edu>
Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
7 months ago
641b1ee71a
[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>
8 months ago
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>
8 months ago
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
8 months ago
bb0a668fee
[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
8 months ago
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
8 months ago
f2e8b9ef9f
[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
8 months ago
5e1c93d732
[hotfix] fix typo change MoECheckpintIO to MoECheckpointIO ( #5335 )
...
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
9 months ago
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>
9 months ago
bf34c6fef6
[fsdp] impl save/load shard model/optimizer ( #5357 )
9 months ago
da39d21b71
[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
10 months ago
7d8e0338a4
[moe] init mixtral impl
10 months ago
6c0fa7b9a8
[llama] fix dataloader for hybrid parallel ( #5358 )
...
* [plugin] refactor prepare dataloader
* [plugin] update train script
10 months ago
1c790c0877
[fix] remove unnecessary dp_size assert ( #5351 )
...
* fix: remove unnecessary assert
* test: add more 3d plugin tests
* fix: add warning
10 months ago
46e091651b
[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
10 months ago
e830ef917d
[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>
11 months ago
9102d655ab
[hotfix] removed unused flag ( #5242 )
11 months ago
d202cc28c0
[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>
11 months ago
365671be10
fix-test ( #5210 )
...
fix-test
fix-test
11 months ago
d799a3088f
[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
11 months ago
4fa689fca1
[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
11 months ago
21aa5de00b
[gemini] hotfix NaN loss while using Gemini + tensor_parallel ( #5150 )
...
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
12 months ago
2a2ec49aa7
[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
12 months ago
d10ee42f68
[format] applied code formatting on changed files in pull request 5088 ( #5127 )
...
Co-authored-by: github-actions <github-actions@github.com>
12 months ago
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>
1 year ago
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
...
* llama 3d
* update
* fix autocast
1 year ago
8921a73c90
[format] applied code formatting on changed files in pull request 5067 ( #5072 )
...
Co-authored-by: github-actions <github-actions@github.com>
1 year ago
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
* [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
1 year ago
3e02154710
[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
1 year ago
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#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#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#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>
1 year ago
f71e63b0f3
[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
1 year ago
1a3315e336
[hotfix] Add layer norm gradients all-reduce for sequence parallel ( #4926 )
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* [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
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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
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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
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Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
1 year ago
dc003c304c
[moe] merge moe into main ( #4978 )
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* update moe module
* support openmoe
1 year ago
c040d70aa0
[hotfix] fix the bug of repeatedly storing param group ( #4951 )
1 year ago
21ba89cab6
[gemini] support gradient accumulation ( #4869 )
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* 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
a0684e7bd6
[feature] support no master weights option for low level zero plugin ( #4816 )
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* [feature] support no master weights for low level zero plugin
* [feature] support no master weights for low level zero plugin, remove data copy when no master weights
* remove data copy and typecasting when no master weights
* not load weights to cpu when using no master weights
* fix grad: use fp16 grad when no master weights
* only do not update working param when no master weights
* fix: only do not update working param when no master weights
* fix: passing params in dict format in hybrid plugin
* fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
1 year ago
83b52c56cd
[feature] Add clip_grad_norm for hybrid_parallel_plugin ( #4837 )
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* Add clip_grad_norm for hibrid_parallel_plugin
* polish code
* add unittests
* Move tp to a higher-level optimizer interface.
* bug fix
* polish code
1 year ago
df63564184
[gemini] support amp o3 for gemini ( #4872 )
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* [gemini] support no reuse fp16 chunk
* [gemini] support no master weight for optim
* [gemini] support no master weight for gemini ddp
* [test] update gemini tests
* [test] update gemini tests
* [plugin] update gemini plugin
* [test] fix gemini checkpointio test
* [test] fix gemini checkpoint io
1 year ago
c97a3523db
fix: typo in comment of low_level_zero plugin
1 year ago
4965c0dabd
[lazy] support from_pretrained ( #4801 )
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* [lazy] patch from pretrained
* [lazy] fix from pretrained and add tests
* [devops] update ci
1 year ago
a2db75546d
[doc] polish shardformer doc ( #4779 )
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* fix example format in docstring
* polish shardformer doc
1 year ago
c0a033700c
[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic ( #4758 )
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* fix master param sync for hybrid plugin
* rewrite unwrap for ddp/fsdp
* rewrite unwrap for zero/gemini
* rewrite unwrap for hybrid plugin
* fix geemini unwrap
* fix bugs
1 year ago
Edenzzzz