bce0f16702
[Feature] The first PR to Add TP inference engine, kv-cache manager and related kernels for our inference system ( #4577 )
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* [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
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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
2c787d7f47
[shardformer] fix submodule replacement bug when enabling pp ( #4544 )
2023-08-31 09:57:18 +08:00
ed4c448488
[pipeline] rewrite t5 tests & support multi-tensor transmitting in pipeline ( #4388 )
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* 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
261eab02fb
[plugin] add 3d parallel plugin ( #4295 )
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* [amp] add mixed precision optimizer
* [plugin] add 3d parallel plugin
* [booster] support pipeline
* [plugin] 3d parallel plugin support clip grad norm
* [shardformer] fix sharder and add plugin test
* [plugin] rename 3d parallel plugin
* [ci] support testmon core pkg change detection (#4305 )
* [hotfix] debug testmon
* [hotfix] fix llama
* [hotfix] fix p2p bugs
* [hotfix] fix requirements
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
1094e0f0d3
[pipeline] Bert pipeline for shardformer and its tests ( #4197 )
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* add pipeline forward
* complete pipeline forward check
* fix bert forward without pipeline
* fix comments
* discard useless line
* add todo
* clean prints
* fix distribute layers
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
1ed3f8a24f
[shardformer] rename policy file name
2023-08-15 23:25:14 +08:00
59f6f573f1
[pipeline] update shardformer policy
2023-08-15 23:25:14 +08:00
2ac24040eb
fix some typo colossalai/shardformer ( #4160 )
2023-07-04 17:53:39 +08:00
74257cb446
[shardformer] refactored some doc and api ( #4137 )
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* [shardformer] refactored some doc and api
* polish code
2023-07-04 16:05:01 +08:00
ae035d305d
[shardformer] added embedding gradient check ( #4124 )
2023-07-04 16:05:01 +08:00
6a88bae4ec
[shardformer] integrate with data parallelism ( #4103 )
2023-07-04 16:05:01 +08:00
b1c2901530
[shardformer] supported bloom model ( #4098 )
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
d857f3dbba
[shardformer] supported T5 and its variants ( #4045 )
2023-07-04 16:05:01 +08:00
c1d5453e9f
[shardformer] adapted llama to the new API ( #4036 )
2023-07-04 16:05:01 +08:00
74d176c8d8
[shardformer] fix bert and gpt downstream with new api ( #4024 )
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* fix bert downstream with new api
* remove comment line
2023-07-04 16:05:01 +08:00
df018fc305
support bert with new api
2023-07-04 16:05:01 +08:00
dfca9678fa
integrate with dist layer ( #4011 )
2023-07-04 16:05:01 +08:00
d3bc530849
[shardformer] Refactor shardformer api ( #4001 )
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* fix an error in readme
* simplify code
* refactor shardformer
* add todo
* remove slicer
* resolve code review
2023-07-04 16:05:01 +08:00
f7774ec0f3
[Shardformer] Downstream bert ( #3979 )
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* add dist dropout in model
* update docstring and bert policy with dropout
* refactor basepolicy and sharded, update bert
* update format
* update gpt2 policy
* update bert policy
* remove unused code
* update readme for new policy usage
* add downstream model of bert
* remove unused code
2023-07-04 16:05:01 +08:00
c1c672d0f0
[shardformer] shardformer support t5 model ( #3994 )
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test t5
2023-07-04 16:05:01 +08:00
45927d5527
[shardformer] Add dropout layer in shard model and refactor policy api ( #3949 )
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* add dist dropout in model
* update docstring and bert policy with dropout
* refactor basepolicy and sharded, update bert
* update format
* update gpt2 policy
* update bert policy
* remove unused code
* update readme for new policy usage
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
79f8d5d54b
[shardformer] add gpt2 policy and modify shard and slicer to support ( #3883 )
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* add gpt2 policy and modify shard and slicer to support
* remove unused code
* polish code
2023-07-04 16:05:01 +08:00
4972e1f40e
[shardformer] refactored the user api ( #3828 )
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* [shardformer] refactored the user api
* polish code
2023-07-04 16:05:01 +08:00
8cc11235c0
[shardformer]: Feature/shardformer, add some docstring and readme ( #3816 )
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* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
* add share weight and train example
* add train
* add docstring and readme
* add docstring for other files
* pre-commit
2023-07-04 16:05:01 +08:00
8d68de767d
[shardformer] init shardformer code structure ( #3731 )
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* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
2023-07-04 16:05:01 +08:00
ddcf58cacf
Revert "[sync] sync feature/shardformer with develop"
2023-06-09 09:41:27 +08:00
ef1537759c
[shardformer] add gpt2 policy and modify shard and slicer to support ( #3883 )
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* add gpt2 policy and modify shard and slicer to support
* remove unused code
* polish code
2023-06-08 15:01:34 +08:00
537a52b7a2
[shardformer] refactored the user api ( #3828 )
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* [shardformer] refactored the user api
* polish code
2023-06-08 15:01:34 +08:00
58f6432416
[shardformer]: Feature/shardformer, add some docstring and readme ( #3816 )
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* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
* add share weight and train example
* add train
* add docstring and readme
* add docstring for other files
* pre-commit
2023-06-08 15:01:34 +08:00
6a69b44dfc
[shardformer] init shardformer code structure ( #3731 )
...
* init shardformer code structure
* add implement of sharder (inject and replace)
* add implement of replace layer to colossal layer
* separate different layer policy, add some notion
* implement 1d and 2d slicer, can tell col or row
* fix bug when slicing and inject model
* fix some bug; add inference test example
2023-06-08 15:01:34 +08:00
Cuiqing Li