d4c5ef441e
[gemini]remove registered gradients hooks ( #5696 )
...
* fix gemini
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* fix
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2024-05-09 10:29:49 +08:00
77ec773388
[zero]remove registered gradients hooks ( #5687 )
...
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2024-05-07 12:01:38 +08:00
91fa553775
[Feature] qlora support ( #5586 )
...
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---------
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2024-04-28 10:51:27 +08:00
8954a0c2e2
[LowLevelZero] low level zero support lora ( #5153 )
...
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2024-04-28 10:51:27 +08:00
0d0a582033
[shardformer] update transformers ( #5583 )
...
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---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [shardformer] fix pipeline grad ckpt (#5620 )
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2024-04-24 22:51:50 +08:00
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
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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>
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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>
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Co-authored-by: github-actions <github-actions@github.com>
* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189 )
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532 )
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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 )
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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2024-04-18 16:10:18 +08:00
3788fefc7a
[zero] support multiple (partial) backward passes ( #5596 )
...
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2024-04-16 17:49:21 +08:00
641b1ee71a
[devops] remove post commit ci ( #5566 )
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8e412a548e
[shardformer] Sequence Parallelism Optimization ( #5533 )
...
* sequence parallel optimization
* validate sequence parallel in llama (code to be polished)
* shardformer api writing
* integrate sequence parallel in ShardFormer
* fix pp bugs and sp bugs for LlaMa model
* integrating ring-based sequence parallelism into ShardFormer
* [sequence parallelism]: Add fused megatron function
* integrating ring-based sequence parallelism into ShardFormer
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* fix bugs when useing sp and flashattention together
* fix operation function name
* support flash attention for ulysses-style sp
* clarify sp process group
* fix compatibility bugs in moe plugin
* fix fused linear bugs
* fix linear layer test
* support gpt model all-to-all sp
* modify shard data dimension (meant to be dim=-1)
* support megtron-style sp and distributed attn for llama model
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* finish sp mode 3 support for gpt
* using all_to_all_single when batch size is 1
* support mode 2 sp in gpt2 (#5 )
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* refactor ring implementation
* support mode 2 sp in gpt2
* polish code
* enable distributed attn mask when using sp mode 2 and 3 in llama
* automatically enable flash attn when using sp mode 2 and 3 in llama
* inplace attn mask
* add zero2 support for sequence parallel
* polish code
* fix bugs
* fix gemini checkpoint io
* loose tensor checking atol and rtol
* add comment
* fix llama layernorm grad
* fix zero grad
* fix zero grad
* fix conflict
* update split and gather auto grad func
* sequence parallel: inside text split (#6 )
* polish code (part 1)
* polish code (part 2)
* polish code (part 2.5)
* polish code (part 3)
* sequence parallel: inside text split
* miscellaneous minor fixes
* polish code
* fix ulysses style ZeRO
* sequence parallel: inside text split
* miscellaneous minor fixes
* disaggregate sp group and dp group for sp
* fix llama and gpt sp
* polish code
* move ulysses grad sync to ddp (#9 )
* remove zero_stage and unbind the grad sync for alltoall sp
* add 2d group creation test
* move ulysses grad sync to ddp
* add 2d group creation test
* remove useless code
* change shard config not to enable sp when enable_all_optimizations
* add sp warnings for several model
* remove useless code
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
2024-04-03 17:15:47 +08:00
7303801854
[llama] fix training and inference scripts ( #5384 )
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* [llama] refactor inference example to fit sft
* [llama] fix training script to fit gemini
* [llama] fix inference script
2024-02-19 16:41:04 +08:00
06db94fbc9
[moe] fix tests
2024-02-08 12:46:37 +08:00
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
2024-02-07 19:21:02 +08:00
7d8e0338a4
[moe] init mixtral impl
2024-02-07 19:21:02 +08:00
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
2024-02-01 16:13:06 +08:00
8823cc4831
Merge pull request #5310 from hpcaitech/feature/npu
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Feature/npu
2024-01-29 13:49:39 +08:00
7cfed5f076
[feat] refactored extension module ( #5298 )
...
* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
2024-01-25 17:01:48 +08:00
bce9499ed3
fix some typo ( #5307 )
2024-01-25 13:56:27 +08:00
148469348a
Merge branch 'main' into sync/npu
2024-01-18 12:05:21 +08:00
d202cc28c0
[npu] change device to accelerator api ( #5239 )
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* 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>
2024-01-09 10:20:05 +08:00
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
4ccb9ded7d
[gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range ( #5085 )
2023-11-22 11:14:25 +08:00
8921a73c90
[format] applied code formatting on changed files in pull request 5067 ( #5072 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-11-20 19:46:43 +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
3e02154710
[gemini] gemini support extra-dp ( #5043 )
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* support ddp
* fix
* fix
* fix
fix
* support ddp
* fix
* fix
* fix
fix
* simplify tests
* fix
* fix
* fix
fix
fix
* fix
2023-11-16 21:03:04 +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
1a3315e336
[hotfix] Add layer norm gradients all-reduce for sequence parallel ( #4926 )
...
* [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
d99b2c961a
[hotfix] fix grad accumulation plus clipping for gemini ( #5002 )
2023-11-02 17:59:10 +08:00
dc003c304c
[moe] merge moe into main ( #4978 )
...
* update moe module
* support openmoe
2023-11-02 02:21:24 +00:00
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
2023-10-17 14:07:21 +08:00
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
2023-10-13 07:57:45 +00:00
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
2023-10-12 11:32:37 +08:00
df63564184
[gemini] support amp o3 for gemini ( #4872 )
...
* [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
2023-10-12 10:39:08 +08:00
cb3a25a062
[checkpointio] hotfix torch 2.0 compatibility ( #4824 )
2023-10-07 10:45:52 +08:00
11f1e426fe
[hotfix] Correct several erroneous code comments ( #4794 )
2023-09-27 10:43:03 +08:00
54b3ad8924
[hotfix] fix norm type error in zero optimizer ( #4795 )
2023-09-27 10:35:24 +08:00
c0a033700c
[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic ( #4758 )
...
* 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
2023-09-20 18:29:37 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
...
* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
b5f9e37c70
[legacy] clean up legacy code ( #4743 )
...
* [legacy] remove outdated codes of pipeline (#4692 )
* [legacy] remove cli of benchmark and update optim (#4690 )
* [legacy] remove cli of benchmark and update optim
* [doc] fix cli doc test
* [legacy] fix engine clip grad norm
* [legacy] remove outdated colo tensor (#4694 )
* [legacy] remove outdated colo tensor
* [test] fix test import
* [legacy] move outdated zero to legacy (#4696 )
* [legacy] clean up utils (#4700 )
* [legacy] clean up utils
* [example] update examples
* [legacy] clean up amp
* [legacy] fix amp module
* [legacy] clean up gpc (#4742 )
* [legacy] clean up context
* [legacy] clean core, constants and global vars
* [legacy] refactor initialize
* [example] fix examples ci
* [example] fix examples ci
* [legacy] fix tests
* [example] fix gpt example
* [example] fix examples ci
* [devops] fix ci installation
* [example] fix examples ci
2023-09-18 16:31:06 +08:00
554aa9592e
[legacy] move communication and nn to legacy and refactor logger ( #4671 )
...
* [legacy] move communication to legacy (#4640 )
* [legacy] refactor logger and clean up legacy codes (#4654 )
* [legacy] make logger independent to gpc
* [legacy] make optim independent to registry
* [legacy] move test engine to legacy
* [legacy] move nn to legacy (#4656 )
* [legacy] move nn to legacy
* [checkpointio] fix save hf config
* [test] remove useledd rpc pp test
* [legacy] fix nn init
* [example] skip tutorial hybriad parallel example
* [devops] test doc check
* [devops] test doc check
2023-09-11 16:24:28 +08:00
fae6c92ead
Merge branch 'main' into feature/shardformer
2023-09-05 21:54:08 +08:00
ac178ca5c1
[legacy] move builder and registry to legacy ( #4603 )
2023-09-05 21:53:10 +08:00
807e01a4ba
[zero] hotfix master param sync ( #4618 )
...
* [zero] add method to update master params
* [zero] update zero plugin
* [plugin] update low level zero plugin
2023-09-05 15:04:02 +08:00
a39a5c66fe
Merge branch 'main' into feature/shardformer
2023-09-04 23:43:13 +08:00
63ecafb1fb
[checkpointio] optimize zero optim checkpoint io ( #4591 )
...
* [zero] update checkpoint io to save memory
* [checkpointio] add device map to save memory
2023-09-04 11:26:45 +08:00
cbac782254
[zero]fix zero ckptIO with offload ( #4529 )
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* fix zero ckptio with offload
* fix load device
* saved tensors in ckpt should be on CPU
* fix unit test
* fix unit test
* add clear cache
* save memory for CI
2023-09-01 17:41:19 +08:00
c9625dbb63
[shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin ( #4540 )
...
* implement sharded optimizer saving
* add more param info
* finish implementation of sharded optimizer saving
* fix bugs in optimizer sharded saving
* add pp+zero test
* param group loading
* greedy loading of optimizer
* fix bug when loading
* implement optimizer sharded saving
* add optimizer test & arrange checkpointIO utils
* fix gemini sharding state_dict
* add verbose option
* add loading of master params
* fix typehint
* fix master/working mapping in fp16 amp
2023-08-31 14:50:47 +08:00
ec18fc7340
[shardformer] support pp+tp+zero1 tests ( #4531 )
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* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
2023-08-30 21:29:18 +08:00
376533a564
[shardformer] zero1+pp and the corresponding tests ( #4517 )
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* pause
* finish pp+zero1
* Update test_shard_vit.py
2023-08-28 10:51:16 +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
839847b7d7
[zero]support zero2 with gradient accumulation ( #4511 )
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* support gradient accumulation with zero2
* fix type
2023-08-25 13:44:07 +08:00
flybird11111