botbw
3f7e3131d9
[gemini] optimize reduce scatter d2h copy ( #5760 )
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.
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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
hxwang
ff507b755e
Merge branch 'main' of github.com:hpcaitech/ColossalAI into prefetch
6 months ago
botbw
2fc85abf43
[gemini] async grad chunk reduce (all-reduce&reduce-scatter) ( #5713 )
...
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6 months ago
botbw
13c06d36a3
[bug] fix early return ( #5740 )
...
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6 months ago
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b3c0e6d871
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6 months ago
hxwang
137a7c341b
[chore] fix init error
6 months ago
genghaozhe
90d8d0183c
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6 months ago
genghaozhe
bfcb2d1ff8
refactor the code structure to solve the circular import
6 months ago
genghaozhe
1ec92d29af
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6 months ago
genghaozhe
5c6c5d6be3
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6 months ago
genghaozhe
7416e4943b
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6 months ago
genghaozhe
d22bf30ca6
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6 months ago
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f1918e18a5
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6 months ago
hxwang
a55a9e298b
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6 months ago
genghaozhe
06a3a100b3
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7 months ago
genghaozhe
3d625ca836
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7 months ago
botbw
e57812c672
[chore] Update placement_policy.py
7 months ago
genghaozhe
013690a86b
remove set(all_chunks)
7 months ago
hxwang
6efbadba25
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7 months ago
hxwang
20701d4533
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7 months ago
hxwang
f45f8a2aa7
[gemini] maxprefetch means maximum work to keep
7 months ago
pre-commit-ci[bot]
6bbe956316
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7 months ago
hxwang
2e68eebdfe
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7 months ago
hxwang
4148ceed9f
[gemini] use compute_chunk to find next chunk
7 months ago
hxwang
b2e9745888
[chore] sync
7 months ago
hxwang
6e38eafebe
[gemini] prefetch chunks
7 months ago
flybird11111
d4c5ef441e
[gemini]remove registered gradients hooks ( #5696 )
...
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7 months ago
Wang Binluo
0d0a582033
[shardformer] update transformers ( #5583 )
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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flybird11111
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
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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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8 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
8823cc4831
Merge pull request #5310 from hpcaitech/feature/npu
...
Feature/npu
10 months ago
Frank Lee
7cfed5f076
[feat] refactored extension module ( #5298 )
...
* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
10 months ago
digger yu
bce9499ed3
fix some typo ( #5307 )
10 months ago
ver217
148469348a
Merge branch 'main' into sync/npu
11 months ago
Hongxin Liu
d202cc28c0
[npu] change device to accelerator api ( #5239 )
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* update accelerator
* fix timer
* fix amp
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* fix
* update bug
* add error raise
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* update doc
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* update cpu
* update null context
* change time limit for example
* udpate
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* 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
Wenhao Chen
7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
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* [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 )
---------
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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
* [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
flybird11111
3e02154710
[gemini] gemini support extra-dp ( #5043 )
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* support ddp
* fix
* fix
* fix
fix
* support ddp
* fix
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fix
* simplify tests
* fix
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fix
fix
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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
* 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
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* [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 )
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* [gemini] support gradient accumulation (#4869 )
* add test
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* 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 )
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* [nfc] fix some typo with colossalai/ docs/ etc. (#4920 )
* [Refactor] Integrated some lightllm kernels into token-attention (#4946 )
* add some req for inference
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* hello
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---------
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* [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
---------
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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
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
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* [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
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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
* 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
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* add get_tokenizer.py
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* fix bugs in ci test
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* support dynamic batch for bloom model and is_running function
* [Inference]Test for new Async engine (#4935 )
* infer engine
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---------
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* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
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* fix quant
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* fix
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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 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc]Update doc for colossal-inference (#4989 )
* update doc
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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 )
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
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* [release] update version (#4995 )
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[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
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* fix
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update checkpointIO
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* 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
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* activate ci
* fix
* fix
* fix
* fix
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modify tp gather method
modify tp gather method
modify tp gather method
* fix test
---------
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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
Hongxin Liu
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
Hongxin Liu
cb3a25a062
[checkpointio] hotfix torch 2.0 compatibility ( #4824 )
1 year ago
Baizhou Zhang
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