7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
...
* [shardformer] implement policy for all GPT-J models and test
* [shardformer] support interleaved pipeline parallel for bert finetune
* [shardformer] shardformer support falcon (#4883 )
* [shardformer]: fix interleaved pipeline for bert model (#5048 )
* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093 )
* Add Mistral support for Shardformer (#5103 )
* [shardformer] add tests to mistral (#5105 )
---------
Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
2023-11-28 16:54:42 +08:00
126cf180bc
[hotfix] fixed memory usage of shardformer module replacement ( #5122 )
2023-11-28 15:38:26 +08:00
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
...
* llama 3d
* update
* fix autocast
2023-11-22 19:23:21 +08:00
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
2023-11-20 16:12:41 +08:00
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>
2023-11-10 10:15:16 +08:00
ef4c14a5e2
[Inference] Fix bug in ChatGLM2 Tensor Parallelism ( #5014 )
...
* fix bug
* fix
* fix multiquery
* fix multiquery
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2023-11-07 15:01:50 +08:00
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
---------
Co-authored-by: littsk <1214689160@qq.com>
* Hotfix/add grad all reduce for sequence parallel (#4927 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
* fix bug using wrong variables
---------
Co-authored-by: littsk <1214689160@qq.com>
* fix policy initialization
* fix bloom and chatglm policices
* polish code of handling layernorm
* fix moe module
* polish code of class initializing
---------
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2023-11-03 13:32:43 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
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* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
86d22581e4
[shardformer] Add overlap optional for HybridParallelPlugin ( #4615 )
...
* add optional overlap for plugin
* remove fixed todo
2023-09-05 11:52:23 +08:00
e241b74f24
[shardformer] Add overlap support for gpt2 ( #4535 )
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* add overlap support for gpt2
* remove unused code
* remove unused code
2023-08-29 18:30:50 +08:00
c554b7f559
[shardformer/fix overlap bug] fix overlap bug, add overlap as an option in shardco… ( #4516 )
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* fix overlap bug and support bert, add overlap as an option in shardconfig
* support overlap for chatglm and bloom
2023-08-28 17:16:40 +08:00
44eab2b27f
[shardformer] support sharded checkpoint IO for models of HybridParallelPlugin ( #4506 )
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* add APIs
* implement save_sharded_model
* add test for hybrid checkpointio
* implement naive loading for sharded model
* implement efficient sharded model loading
* open a new file for hybrid checkpoint_io
* small fix
* fix circular importing
* fix docstring
* arrange arguments and apis
* small fix
2023-08-25 22:04:57 +08:00
59e252ecdb
[shardformer] chatglm support sequence parallel ( #4482 )
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* [shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
* fix
fix
fix
fix
2023-08-22 23:59:31 +08:00
a27e0bb494
[shardformer] bert support sequence parallel. ( #4455 )
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* [shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
* [shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
[shardformer] bert support sequence parallel
* [shardformer] bert support sequence parallel
2023-08-18 18:04:55 +08:00
7c8be77081
[shardformer/sequence parallel] support gpt2 seq parallel with pp/dp/tp ( #4460 )
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* support gpt2 seq parallel with pp/dp/tp
* fix a bug when waiting for stream done
* delete unused gpt2_seq file
2023-08-18 11:21:53 +08:00
424629fea0
[shardformer/sequence parallel] Cherry pick commit to new branch ( #4450 )
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* [shardformer/sequence parallel] Support sequence parallel for gpt2 (#4384 )
* [sequence parallel] add sequence parallel linear col/row support (#4336 )
* add sequence parallel linear col/row support
* add annotation
* add annotation
* add support for gpt2 fused qkv linear layer
* support sequence parallel in GPT2
* add docstring and note
* add requirments
* remove unused flash-attb
* modify flash attn test
* modify flash attn setting
* modify flash attn code
* add assert before divide, rename forward function
* [shardformer/test] fix gpt2 test with seq-parallel
* [shardformer/sequence parallel] Overlap input gather and grad computation during col backward (#4401 )
* overlap gather input / grad computing during col backward
* modify test for overlap
* simplify code
* fix code and modify cuda stream synchronize
* [shardformer/sequence parallel] polish code
2023-08-16 15:41:20 +08:00
5d4efdf58f
[shardformer] fix import
2023-08-15 23:25:14 +08:00
73a4144b91
[shardformer] fix embedding
2023-08-15 23:25:14 +08:00
172f7fa3cf
[misc] resolve code factor issues ( #4433 )
2023-08-15 23:25:14 +08:00
7711bd524a
[shardformer] rewrite tests for opt/bloom/llama/vit/chatglm ( #4395 )
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* rewrite opt tests
* rewrite llama tests
* rewrite bloom & vit tests
* rewrite chatglm tests
* fix LinearCol for classfiers
* add judge for other tp layers, fix lazy init in util
2023-08-15 23:25:14 +08:00
ed4c448488
[pipeline] rewrite t5 tests & support multi-tensor transmitting in pipeline ( #4388 )
...
* fix remaining t5 bugs/rewrite t5 tests
* fix multi-tensor communication in pipeline
* rearrange test_config
* fix keyerror in sync_shared_params
* fix get_held_layers & Randomnizer, complete t5 tests
* erase printing
* fix get_held_layers through modifying _release_unheld_layers
* fix _get_recursive_held_layers bug
2023-08-15 23:25:14 +08:00
726541afe2
update some module with new api version
2023-08-15 23:25:14 +08:00
9ee4ebea83
[shardformer] support whisper ( #4212 )
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* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
2023-08-15 23:25:14 +08:00
dd2bf02679
[shardformer] support SAM ( #4231 )
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* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
2023-08-15 23:25:14 +08:00
0ceec8f9a9
[pipeline] support fp32 for HybridPlugin/merge shardformer test and pipeline test into one file ( #4354 )
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* add naive optimizer for 3DPlugin/refactor gpt2 shardformer test
* merge tests of PP/DP/TP combinations into one test file
* fix bug when sync grad for dp in HybridPlugin
* update supported precisions for 3DPlugin/fix bug when shifting tp_degree
* improve the passing of lazy_init
* modify lazy_init/use sync_shared_params
2023-08-15 23:25:14 +08:00
d921ce8391
[shardformer] support inplace sharding ( #4251 )
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* [shardformer] embedding support inplace sharding
* [shardformer] linear support inplace sharding
* [shardformer] layernorm support inplace sharding
* [shardformer] qkv support inplace sharding
* [test] update shardformer layer test
* [shardformer] fix shared param sharding
* [shardformer] fix bert policy
* [shardformer] fix bloom policy
* [shardformer] fix llama policy
* [shardformer] fix opt policy
* [shardformer] fix t5 policy
* [shardformer] fix fused qkv linear
* [shardformer] fix bugs
* force sync
* [test] fix bugs
* [test] fix transformer version
2023-08-15 23:25:14 +08:00
208ac8f2ba
[pipeline] Add Pipeline Forward for GPT2Model Shardformer ( #4224 )
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* * fix typehint & docstring in sharder.py
* * update pipeline forward for GPT2Model
* * add test for pipeline forward of GPT2Model
* * add cache cleaning in gpt2 test
* * change assert to raise command
2023-08-15 23:25:14 +08:00
890774b2fb
[shardformer] support lazy init ( #4202 )
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* [shardformer] support lazy init
* [shardformer] linear support lazy init
* [shardformer] embedding support lazy init
* [shardformer] norm support lazy init
* [shardformer] fused linear support lazy init
* [test] update shardformer test layer
* [test] shardformer with lazy init fit ddp
* [lazy] hotfix deepcopy of param
* [shardformer] fix bert policy and update test
* [shardformer] fix bloom policy and update test
* [shardformer] fix opt policy and update test
* [shardformer] fix t5 policy and update test
* [shardformer] fix gpt2 policy and update test
* [shardformer] fix llama policy and update test
2023-08-15 23:25:14 +08:00
2ac24040eb
fix some typo colossalai/shardformer ( #4160 )
2023-07-04 17:53:39 +08:00
c77b3b19be
[format] applied code formatting on changed files in pull request 4152 ( #4157 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-07-04 16:07:47 +08:00
f3b6aaa6b7
[shardformer] supported fused normalization ( #4112 )
2023-07-04 16:05:01 +08:00
b1c2901530
[shardformer] supported bloom model ( #4098 )
2023-07-04 16:05:01 +08:00
8af29ee47a
[shardformer] support vision transformer ( #4096 )
...
* first v of vit shardformer
* keep vit
* update
* vit shard add vitattention vitlayer
* update num head shard para
* finish test for vit
* add new_model_class & postprocess
* add vit readme
* delete old files & fix the conflict
* fix sth
2023-07-04 16:05:01 +08:00
d33a44e8c3
[shardformer] refactored layernorm ( #4086 )
2023-07-04 16:05:01 +08:00
92f6791095
[shardformer] Add layernorm ( #4072 )
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* add layernorm to bert
* add layernorm test
* add layernorm test with load state dict
* add use_mixedfusedLN in shard config
* refactor policy to support fused_layernorm
2023-07-04 16:05:01 +08:00
70c58cfd4f
[shardformer] supported fused qkv checkpoint ( #4073 )
2023-07-04 16:05:01 +08:00
0803a61412
[shardformer] add linearconv1d test ( #4067 )
...
* add linearconv1d test
* add linearconv1d test
2023-07-04 16:05:01 +08:00
8eb09a4c69
[shardformer] support module saving and loading ( #4062 )
...
* [shardformer] support module saving and loading
* polish code
2023-07-04 16:05:01 +08:00
f22ddacef0
[shardformer] refactored the shardformer layer structure ( #4053 )
2023-07-04 16:05:01 +08:00
58df720570
[shardformer] adapted T5 and LLaMa test to use kit ( #4049 )
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* [shardformer] adapted T5 and LLaMa test to use kit
* polish code
2023-07-04 16:05:01 +08:00
4021b9a8a2
[shardformer] add gpt2 test and layer class refactor ( #4041 )
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* add gpt2 test and layer class refactor
* add dropout in gpt2 policy
2023-07-04 16:05:01 +08:00
d857f3dbba
[shardformer] supported T5 and its variants ( #4045 )
2023-07-04 16:05:01 +08:00
507c0ad368
add vocabembedding layer
2023-07-04 16:05:01 +08:00
45d9384346
[shardformer] removed inplace tensor sharding ( #4018 )
2023-07-04 16:05:01 +08:00
3893fa1a8d
[shardformer] refactored embedding and dropout to parallel module ( #4013 )
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* [shardformer] refactored embedding and dropout to parallel module
* polish code
2023-07-04 16:05:01 +08:00
015af592f8
[shardformer] integrated linear 1D with dtensor ( #3996 )
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* [shardformer] integrated linear 1D with dtensor
* polish code
2023-07-04 16:05:01 +08:00
c1c672d0f0
[shardformer] shardformer support t5 model ( #3994 )
...
test t5
2023-07-04 16:05:01 +08:00
6b30dfb7ce
[shardformer] support llama model using shardformer ( #3969 )
...
adjust layer attr
2023-07-04 16:05:01 +08:00
a73130482d
[shardformer] Unit test ( #3928 )
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* fix bug in slicer, add slicer unit test
* add dropout test
* use pid as dropout seed
* updata dropout test with local pattern
* ad todo
2023-07-04 16:05:01 +08:00
f1cb5ac6bf
[shardformer] Align bert value ( #3907 )
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* add bert align test, fix dist loss bug
* forward and backward align
* add ignore index
* add shardformer CI
* add gather_output optional for user in shardconfig
* update readme with optional gather_ouput
* add dist crossentropy loss test, remove unused files
* remove unused file
* remove unused file
* rename the file
* polish code
2023-07-04 16:05:01 +08:00
Wenhao Chen