97cd0cd559
[shardformer] fix llama error when transformers upgraded. ( #5055 )
...
* fix-llama
* Update llama.py
2023-11-16 21:34:04 +08:00
b2ad0d9e8f
[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark ( #5017 )
...
* Use p2p
* Cannot bidirectonal send p2p
* Refactor tensor creation and serialization in P2P
communication
* Fix llama forward args in flash attention
* Add flop estimate from megatron
* Support loading weight not in weight_map when strict=False in hybrid_parallel
* Use send_forward_recv_backward, etc in 1f1b
* Use dataclass for metdata
Remove torch.cuda.synchronize() as suggested
* Add comment about the torch.cuda.synchronize for potential error
* Typo
* Update hybrid_parallel_checkpoint_io.py
* Update p2p.py
* Update one_f_one_b.py
* Update p2p.py
---------
Co-authored-by: flybird11111 <1829166702@qq.com>
2023-11-16 20:15:59 +08:00
70885d707d
[hotfix] Suport extra_kwargs in ShardConfig ( #5031 )
...
* [refactor]: replace inference args with extra_kwargs in ShardConfig
* modify shardconfig
* polish code
* fix policy bug in llama
* fix bug in auto policy
* remove setattr in ShardConfig
2023-11-10 10:49:50 +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 )
...
* [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
1db6727678
[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
2023-10-27 16:19:54 +08:00
11009103be
[nfc] fix some typo with colossalai/ docs/ etc. ( #4920 )
2023-10-18 15:44:04 +08:00
1f5d2e8062
[hotfix] fix torch 2.0 compatibility ( #4936 )
...
* [hotfix] fix launch
* [test] fix test gemini optim
* [shardformer] fix vit
2023-10-18 11:05:25 +08:00
d1fcc0fa4d
[infer] fix test bug ( #4838 )
...
* fix test bug
* delete useless code
* fix typo
2023-10-04 10:01:03 +08:00
11f1e426fe
[hotfix] Correct several erroneous code comments ( #4794 )
2023-09-27 10:43:03 +08:00
ce7ade3882
[inference] chatglm2 infer demo ( #4724 )
...
* add chatglm2
* add
* gather needed kernels
* fix some bugs
* finish context forward
* finish context stage
* fix
* add
* pause
* add
* fix bugs
* finish chatglm
* fix bug
* change some logic
* fix bugs
* change some logics
* add
* add
* add
* fix
* fix tests
* fix
2023-09-22 11:12:50 +08:00
946ab56c48
[feature] add gptq for inference ( #4754 )
...
* [gptq] add gptq kernel (#4416 )
* add gptq
* refactor code
* fix tests
* replace auto-gptq
* rname inferance/quant
* refactor test
* add auto-gptq as an option
* reset requirements
* change assert and check auto-gptq
* add import warnings
* change test flash attn version
* remove example
* change requirements of flash_attn
* modify tests
* [skip ci] change requirements-test
* [gptq] faster gptq cuda kernel (#4494 )
* [skip ci] add cuda kernels
* add license
* [skip ci] fix max_input_len
* format files & change test size
* [skip ci]
* [gptq] add gptq tensor parallel (#4538 )
* add gptq tensor parallel
* add gptq tp
* delete print
* add test gptq check
* add test auto gptq check
* [gptq] combine gptq and kv cache manager (#4706 )
* combine gptq and kv cache manager
* add init bits
* delete useless code
* add model path
* delete usless print and update test
* delete usless import
* move option gptq to shard config
* change replace linear to shardformer
* update bloom policy
* delete useless code
* fix import bug and delete uselss code
* change colossalai/gptq to colossalai/quant/gptq
* update import linear for tests
* delete useless code and mv gptq_kernel to kernel directory
* fix triton kernel
* add triton import
2023-09-22 11:02:50 +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
f911d5b09d
[doc] Add user document for Shardformer ( #4702 )
...
* create shardformer doc files
* add docstring for seq-parallel
* update ShardConfig docstring
* add links to llama example
* add outdated massage
* finish introduction & supporting information
* finish 'how shardformer works'
* finish shardformer.md English doc
* fix doctest fail
* add Chinese document
2023-09-15 10:56:39 +08:00
20190b49a5
[shardformer] to fix whisper test failed due to significant accuracy differences. ( #4710 )
...
* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
2023-09-14 21:34:20 +08:00
c7d6975d29
[shardformer] fix GPT2DoubleHeadsModel ( #4703 )
2023-09-13 15:57:16 +08:00
8844691f4b
[shardformer] update shardformer readme ( #4689 )
...
* [shardformer] update shardformer readme
* [shardformer] update shardformer readme
* [shardformer] update shardformer readme
* [shardformer] update shardformer readme
* [shardformer] update shardformer readme
2023-09-12 15:14:24 +08:00
bce0f16702
[Feature] The first PR to Add TP inference engine, kv-cache manager and related kernels for our inference system ( #4577 )
...
* [infer] Infer/llama demo (#4503 )
* add
* add infer example
* finish
* finish
* stash
* fix
* [Kernels] add inference token attention kernel (#4505 )
* add token forward
* fix tests
* fix comments
* add try import triton
* add adapted license
* add tests check
* [Kernels] add necessary kernels (llama & bloom) for attention forward and kv-cache manager (#4485 )
* added _vllm_rms_norm
* change place
* added tests
* added tests
* modify
* adding kernels
* added tests:
* adding kernels
* modify
* added
* updating kernels
* adding tests
* added tests
* kernel change
* submit
* modify
* added
* edit comments
* change name
* change commnets and fix import
* add
* added
* combine codes (#4509 )
* [feature] add KV cache manager for llama & bloom inference (#4495 )
* add kv cache memory manager
* add stateinfo during inference
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* file dir change
* [Bug FIx] import llama context ops fix (#4524 )
* added _vllm_rms_norm
* change place
* added tests
* added tests
* modify
* adding kernels
* added tests:
* adding kernels
* modify
* added
* updating kernels
* adding tests
* added tests
* kernel change
* submit
* modify
* added
* edit comments
* change name
* change commnets and fix import
* add
* added
* fix
* add ops into init.py
* add
* [Infer] Add TPInferEngine and fix file path (#4532 )
* add engine for TP inference
* move file path
* update path
* fix TPInferEngine
* remove unused file
* add engine test demo
* revise TPInferEngine
* fix TPInferEngine, add test
* fix
* Add Inference test for llama (#4508 )
* add kv cache memory manager
* add stateinfo during inference
* add
* add infer example
* finish
* finish
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* add inference test for llama
* fix conflict
* feature: add some new features for llama engine
* adapt colossalai triton interface
* Change the parent class of llama policy
* add nvtx
* move llama inference code to tensor_parallel
* fix __init__.py
* rm tensor_parallel
* fix: fix bugs in auto_policy.py
* fix:rm some unused codes
* mv colossalai/tpinference to colossalai/inference/tensor_parallel
* change __init__.py
* save change
* fix engine
* Bug fix: Fix hang
* remove llama_infer_engine.py
---------
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [infer] Add Bloom inference policy and replaced methods (#4512 )
* add bloom inference methods and policy
* enable pass BatchInferState from model forward
* revise bloom infer layers/policies
* add engine for inference (draft)
* add test for bloom infer
* fix bloom infer policy and flow
* revise bloom test
* fix bloom file path
* remove unused codes
* fix bloom modeling
* fix dir typo
* fix trivial
* fix policy
* clean pr
* trivial fix
* Revert "[infer] Add Bloom inference policy and replaced methods (#4512 )" (#4552 )
This reverts commit 17cfa57140#4549 )
* create readme
* add readme.md
* fix typos
* [infer] Add Bloom inference policy and replaced methods (#4553 )
* add bloom inference methods and policy
* enable pass BatchInferState from model forward
* revise bloom infer layers/policies
* add engine for inference (draft)
* add test for bloom infer
* fix bloom infer policy and flow
* revise bloom test
* fix bloom file path
* remove unused codes
* fix bloom modeling
* fix dir typo
* fix trivial
* fix policy
* clean pr
* trivial fix
* trivial
* Fix Bugs In Llama Model Forward (#4550 )
* add kv cache memory manager
* add stateinfo during inference
* add
* add infer example
* finish
* finish
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* add inference test for llama
* fix conflict
* feature: add some new features for llama engine
* adapt colossalai triton interface
* Change the parent class of llama policy
* add nvtx
* move llama inference code to tensor_parallel
* fix __init__.py
* rm tensor_parallel
* fix: fix bugs in auto_policy.py
* fix:rm some unused codes
* mv colossalai/tpinference to colossalai/inference/tensor_parallel
* change __init__.py
* save change
* fix engine
* Bug fix: Fix hang
* remove llama_infer_engine.py
* bug fix: fix bugs about infer_state.is_context_stage
* remove pollcies
* fix: delete unused code
* fix: delete unused code
* remove unused coda
* fix conflict
---------
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [doc] add colossal inference fig (#4554 )
* create readme
* add readme.md
* fix typos
* upload fig
* [NFC] fix docstring for colossal inference (#4555 )
Fix docstring and comments in kv cache manager and bloom modeling
* fix docstring in llama modeling (#4557 )
* [Infer] check import vllm (#4559 )
* change import vllm
* import apply_rotary_pos_emb
* change import location
* [DOC] add installation req (#4561 )
* add installation req
* fix
* slight change
* remove empty
* [Feature] rms-norm transfer into inference llama.py (#4563 )
* add installation req
* fix
* slight change
* remove empty
* add rmsnorm polciy
* add
* clean codes
* [infer] Fix tp inference engine (#4564 )
* fix engine prepare data
* add engine test
* use bloom for testing
* revise on test
* revise on test
* reset shardformer llama (#4569 )
* [infer] Fix engine - tensors on different devices (#4570 )
* fix diff device in engine
* [codefactor] Feature/colossal inference (#4579 )
* code factors
* remove
* change coding (#4581 )
* [doc] complete README of colossal inference (#4585 )
* complete fig
* Update README.md
* [doc]update readme (#4586 )
* update readme
* Update README.md
* bug fix: fix bus in llama and bloom (#4588 )
* [BUG FIX]Fix test engine in CI and non-vllm kernels llama forward (#4592 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* [Kernel]Rmsnorm fix (#4598 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* add triton rmsnorm
* delete vllm kernel flag
* [Bug Fix]Fix bugs in llama (#4601 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* bug fix: remove rotary_positions_ids
---------
Co-authored-by: cuiqing.li <lixx3527@gmail.com>
* [kernel] Add triton layer norm & replace norm for bloom (#4609 )
* add layernorm for inference
* add test for layernorm kernel
* add bloom layernorm replacement policy
* trivial: path
* [Infer] Bug fix rotary embedding in llama (#4608 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* [bench] Add bloom inference benchmark (#4621 )
* add bloom benchmark
* readme - update benchmark res
* trivial - uncomment for testing (#4622 )
* [Infer] add check triton and cuda version for tests (#4627 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* add check triton and cuda
* Update sharder.py (#4629 )
* [Inference] Hot fix some bugs and typos (#4632 )
* fix
* fix test
* fix conflicts
* [typo]Comments fix (#4633 )
* fallback
* fix commnets
* bug fix: fix some bugs in test_llama and test_bloom (#4635 )
* [Infer] delete benchmark in tests and fix bug for llama and bloom (#4636 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* add check triton and cuda
* delete benchmark and fix infer bugs
* delete benchmark for tests
* delete useless code
* delete bechmark function in utils
* [Fix] Revise TPInferEngine, inference tests and benchmarks (#4642 )
* [Fix] revise TPInferEngine methods and inference tests
* fix llama/bloom infer benchmarks
* fix infer tests
* trivial fix: benchmakrs
* trivial
* trivial: rm print
* modify utils filename for infer ops test (#4657 )
* [Infer] Fix TPInferEngine init & inference tests, benchmarks (#4670 )
* fix engine funcs
* TPInferEngine: receive shard config in init
* benchmarks: revise TPInferEngine init
* benchmarks: remove pytest decorator
* trivial fix
* use small model for tests
* [NFC] use args for infer benchmarks (#4674 )
* revise infer default (#4683 )
* [Fix] optimize/shard model in TPInferEngine init (#4684 )
* remove using orig model in engine
* revise inference tests
* trivial: rename
---------
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
2023-09-12 01:22:56 +08:00
eedaa3e1ef
[shardformer]fix gpt2 double head ( #4663 )
...
* [shardformer]fix gpt2 test
[shardformer]fix gpt2 test
[shardformer]fix gpt2 test
* fix
* [shardformer] add todo
* [shardformer] add todo
2023-09-11 18:35:03 +08:00
7486ed7d3a
[shardformer] update llama2/opt finetune example and fix llama2 policy ( #4645 )
...
* [shardformer] update shardformer readme
[shardformer] update shardformer readme
[shardformer] update shardformer readme
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] change dataset
* [shardformer] change dataset
* [shardformer] fix CI
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
[example] update opt example
[example] resolve comments
fix
fix
2023-09-09 22:45:36 +08:00
295b38fecf
[example] update vit example for hybrid parallel plugin ( #4641 )
...
* update vit example for hybrid plugin
* reset tp/pp size
* fix dataloader iteration bug
* update optimizer passing in evaluation/add grad_accum
* change criterion
* wrap tqdm
* change grad_accum to grad_checkpoint
* fix pbar
2023-09-07 17:38:45 +08:00
c3d5fa3bac
[shardformer] Support customized policy for llamav2 based model with HybridParallelPlugin ( #4624 )
...
* Enable policy assignment in HybridPlugin and enable llama policy for llamav2
* Remove Policy from Plugin
* revert changes of plugin
HybridParallelModule
* revert changes in plugin
* upgrade transformers
* revert transformers version
---------
Co-authored-by: flybird11111 <1829166702@qq.com>
2023-09-07 10:15:13 +08:00
ec0866804c
[shardformer] update shardformer readme ( #4617 )
...
[shardformer] update shardformer readme
[shardformer] update shardformer readme
2023-09-05 13:14:41 +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
24c0768795
[shardformer] Pytree fix ( #4533 )
...
* pytree test
* test bert
* test bert
* test bert
* revise
* add register
* add register
2023-09-04 17:52:23 +08:00
2c787d7f47
[shardformer] fix submodule replacement bug when enabling pp ( #4544 )
2023-08-31 09:57:18 +08:00
d367b88785
[shardformer] fix opt test hanging ( #4521 )
...
* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
2023-08-30 14:50:34 +08:00
e241b74f24
[shardformer] Add overlap support for gpt2 ( #4535 )
...
* 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 )
...
* 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 )
...
* 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
de8a65babc
[shardformer] opt fix. ( #4514 )
...
* [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
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* activate checks
* [Test] test ci
* test ci
* test ci
* test ci
* test ci
* test ci
* test ci
* fix
2023-08-25 19:41:24 +08:00
3353e55c80
[shardformer] vit/llama/t5 ignore the sequence parallelism flag and some fix. ( #4498 )
...
* [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
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* activate checks
2023-08-24 15:50:02 +08:00
59e252ecdb
[shardformer] chatglm support sequence parallel ( #4482 )
...
* [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
351351a36e
[shardformer/sequence parallel] not support opt of seq-parallel, add warning and fix a bug in gpt2 pp ( #4488 )
2023-08-22 17:35:35 +08:00
5545114fd8
rename chatglm to chatglm2 ( #4484 )
2023-08-22 14:13:31 +08:00
8739aa7fa0
[shardformer] Pipeline/whisper ( #4456 )
...
* add some base tests and policies
* finish whisper base model
* add conditional generation
* finish basic tests
* whisper
* finish whisper
* finish whisper
* del useless whisper test
* fix
* add argmin to replace
* finish revision
2023-08-18 21:29:25 +08:00
a27e0bb494
[shardformer] bert support sequence parallel. ( #4455 )
...
* [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
0ecd71e041
[shardformer] bloom support sequence parallel ( #4465 )
...
[shardformer] bloom support sequence parallel
2023-08-18 15:34:18 +08:00
7c8be77081
[shardformer/sequence parallel] support gpt2 seq parallel with pp/dp/tp ( #4460 )
...
* 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 )
...
* [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
d20dceb9a3
[format] applied code formatting on changed files in pull request 4441 ( #4445 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-08-16 10:47:23 +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
108e54a0b4
[shardformer]update t5 tests for using all optimizations. ( #4407 )
...
* [shardformer] gpt2 tests fix
[shardformer] test all optimizations (#4399 )
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] gpt2 tests fix
* [shardformer]update t5 to use all optimizations
2023-08-15 23:25:14 +08:00
1edc9b5fb3
[shardformer] update tests for all optimization ( #4413 )
...
[shardformer] update tests for all optimization
2023-08-15 23:25:14 +08:00
7711bd524a
[shardformer] rewrite tests for opt/bloom/llama/vit/chatglm ( #4395 )
...
* 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
7a3dfd0c64
[shardformer] update shardformer to use flash attention 2 ( #4392 )
...
* cherry-pick flash attention 2
cherry-pick flash attention 2
* [shardformer] update shardformer to use flash attention 2
[shardformer] update shardformer to use flash attention 2, fix
[shardformer] update shardformer to use flash attention 2, fix
[shardformer] update shardformer to use flash attention 2, fix
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
flybird11111