* [test] smaller gpt2 test case
* [test] reduce test cases: tests/test_zero/test_gemini/test_zeroddp_state_dict.py
* [test] reduce test cases: tests/test_zero/test_gemini/test_grad_accum.py
* [test] reduce test cases tests/test_zero/test_gemini/test_optim.py
* Revert "[test] smaller gpt2 test case"
Some tests might depend on the size of model (num of chunks)
This reverts commit df705a5210.
* [test] reduce test cases: tests/test_checkpoint_io/test_gemini_checkpoint_io.py
* [CI] smaller test model for two mwo the two modifid cases
* [CI] hardcode gpt model for tests/test_zero/test_gemini/test_search.py since we need a fixed answer there
* [feat] Add distributed lamb; minor fixes in DeviceMesh (#5476)
* init: add dist lamb; add debiasing for lamb
* dist lamb tester mostly done
* all tests passed
* add comments
* all tests passed. Removed debugging statements
* moved setup_distributed inside plugin. Added dist layout caching
* organize better
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [hotfix] Improve tester precision by removing ZeRO on vanilla lamb (#5576)
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [optim] add distributed came (#5526)
* test CAME under LowLevelZeroOptimizer wrapper
* test CAME TP row and col pass
* test CAME zero pass
* came zero add master and worker param id convert
* came zero test pass
* came zero test pass
* test distributed came passed
* reform code, Modify some expressions and add comments
* minor fix of test came
* minor fix of dist_came and test
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* minor fix of dist_came and test
* rebase dist-optim
* rebase dist-optim
* fix remaining comments
* add test dist came using booster api
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [optim] Distributed Adafactor (#5484)
* [feature] solve conflict; update optimizer readme;
* [feature] update optimize readme;
* [fix] fix testcase;
* [feature] Add transformer-bert to testcase;solve a bug related to indivisible shape (induction in use_zero and tp is row parallel);
* [feature] Add transformers_bert model zoo in testcase;
* [feature] add user documentation to docs/source/feature.
* [feature] add API Reference & Sample to optimizer Readme; add state check for bert exam;
* [feature] modify user documentation;
* [fix] fix readme format issue;
* [fix] add zero=0 in testcase; cached augment in dict;
* [fix] fix percision issue;
* [feature] add distributed rms;
* [feature] remove useless comment in testcase;
* [fix] Remove useless test; open zero test; remove fp16 test in bert exam;
* [feature] Extract distributed rms function;
* [feature] add booster + lowlevelzeroPlugin in test;
* [feature] add Start_with_booster_API case in md; add Supporting Information in md;
* [fix] Also remove state movement in base adafactor;
* [feature] extract factor function;
* [feature] add LowLevelZeroPlugin test;
* [fix] add tp=False and zero=True in logic;
* [fix] fix use zero logic;
* [feature] add row residue logic in column parallel factor;
* [feature] add check optim state func;
* [feature] Remove duplicate logic;
* [feature] update optim state check func and percision test bug;
* [fix] update/fix optim state; Still exist percision issue;
* [fix] Add use_zero check in _rms; Add plugin support info in Readme; Add Dist Adafactor init Info;
* [feature] removed print & comments in utils;
* [feature] uodate Readme;
* [feature] add LowLevelZeroPlugin test with Bert model zoo;
* [fix] fix logic in _rms;
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [fix] remove comments in testcase;
* [feature] add zh-Han Readme;
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; (#5676)
* [feature] daily update;
* [fix] fix dist came;
* [feature] refractor dist came; fix percision error; add low level zero test with bert model zoo;
* [fix] open rms; fix low level zero test; fix dist came test function name;
* [fix] remove redundant test;
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] Add Galore (Adam, Adafactor) and distributed GaloreAdamW8bit (#5570)
* init: add dist lamb; add debiasing for lamb
* dist lamb tester mostly done
* all tests passed
* add comments
* all tests passed. Removed debugging statements
* moved setup_distributed inside plugin. Added dist layout caching
* organize better
* update comments
* add initial distributed galore
* add initial distributed galore
* add galore set param utils; change setup_distributed interface
* projected grad precision passed
* basic precision tests passed
* tests passed; located svd precision issue in fwd-bwd; banned these tests
* Plugin DP + TP tests passed
* move get_shard_dim to d_tensor
* add comments
* remove useless files
* remove useless files
* fix zero typo
* improve interface
* remove moe changes
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix import
* fix deepcopy
* update came & adafactor to main
* fix param map
* fix typo
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Hotfix] Remove one buggy test case from dist_adafactor for now (#5692)
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: chongqichuizi875 <107315010+chongqichuizi875@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: duanjunwen <54985467+duanjunwen@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
* feat: support qwen2 model
* fix: modify model config and add Qwen2RMSNorm
* fix qwen2 model conflicts
* test: add qwen2 shard test
* to: add qwen2 auto policy
* support qwen model
* fix the conflicts
* add try catch
* add transformers version for qwen2
* add the ColoAttention for the qwen2 model
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* add the unit test version check
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix the test input bug
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix the version check
* fix the version check
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [devops] remove post commit ci
* [misc] run pre-commit on all files
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* 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>
* [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>
* [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.
* Revert "[inference] Async dynamic batching (#4894)"
This reverts commit fced140250.
* Revert "[inference] Async dynamic batching (#4894)" (#4909)
This reverts commit fced140250.
* Add Ray Distributed Environment Init Scripts
* support DynamicBatchManager base function
* revert _set_tokenizer version
* add driver async generate
* add async test
* fix bugs in test_ray_dist.py
* add get_tokenizer.py
* fix code style
* fix bugs about No module named 'pydantic' in ci test
* fix bugs in ci test
* fix bugs in ci test
* fix bugs in ci test
* [infer]Add Ray Distributed Environment Init Scripts (#4911)
* Revert "[inference] Async dynamic batching (#4894)"
This reverts commit fced140250.
* Add Ray Distributed Environment Init Scripts
* support DynamicBatchManager base function
* revert _set_tokenizer version
* add driver async generate
* add async test
* fix bugs in test_ray_dist.py
* add get_tokenizer.py
* fix code style
* fix bugs about No module named 'pydantic' in ci test
* fix bugs in ci test
* fix bugs in ci test
* fix bugs in ci test
* support dynamic batch for bloom model and is_running function
* [Inference]Test for new Async engine (#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>
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* [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
* add pipeline policy and bert forward to be done
* add bertmodel pipeline forward and make tests
* add Bert_Policy and test for policy
* update formatting
* update formatting
* update the code
* fix bugs
* fix name confilt
* add bloom model and policy ,revise the base class of policy
* revise
* revision
* add bert_for_pretraining
* add bert_for_pretraining forward and policy
* fix typos
* cancel warning
* change the imediate output to default dict
* change the default output of get_shared_params
* rewrite bert test
* rewrite bert test
* fix some bugs
* del pipeline tests
* del pipeline tests
* del useless print
* del useless print
* rewrite data repeats
* [shardformer] supported flash attention test dependency (#4158)
* [shardformer] fix flash attention utils test (#4180)
* [shardformer] opt support flash attention (#4163)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] add performance benchmark of shardformer (#4175)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] benchmark fix
* [shardformer] benchmark fix
* [shardformer] llama support flash attention (#4185)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] llama support flash attention
* [shardformer] llama support flash attention
* [shardformer] Move the import statement for xformer outside the forward function.
* [shardformer] gpt2 support flash attention. (#4191)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] gpt2 support flash attention
* [shardformer] gpt2 support flash attention
* [shardformer] gpt2 support flash attention
* [shardformer] bloom support flash attention (#4188)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bloom suport flash attention
* [shardformer] add assert to sequence length
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] bert support flash attention. (#4206)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bert support flash attention
* [shardformer] t5 support flash attention. (#4216)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] t5 support flash attention
* [shardformer] t5 support flash attention
* fix typo
* fix typo
* fix typo
* fix typo
* fix typo
* fix typo
* [shardformer] support 'paddedcausal' type of attention mask in Coloattention. (#4215)
* added padded causal attn mask type for ColoAttention
* [shardformer]t5 flash attention fix (#4239)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] t5 flash attention fix
* [shardformer] update gpt2 to use coloattention. (#4234)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2
* [shardformer] update opt and llama to use coloattention. (#4226)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt
* [shardformer] shardformer support jit fused operator. (#4236)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bloom support jit fused operator
* [shardformer] bloom support jit fused operator
* [shardformer] bloom support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] add roadmap of flash attention
* [shardformer] add roadmap of flash attention
* [shardformer] add roadmap of flash attention
* [shardformer] add type hint to 'self' param of forward
* [shardformer] merge feature/shardformer-models branch to feature/flash-attention-shardformer branch. (#4290)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] whisper support flash attention (#4301)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] whisper support flash attention
* [shardformer] whisper support flash attention
* [shardformer]whisper support jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] sam support flash attention (#4316)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] sam support flash attention
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] merge blip2/chatglm (#4321)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] blip2 support flash attention and jit operator (#4325)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] blip2 support flash attention and jit operator
* [shardformer] blip2 support flash attention and jit operator
* [shardformer] blip2 support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] chatglm support flash attention and jit operator (#4330)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] vit support flash attention and jit operator (#4334)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 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
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] vit support flash attention and jit operator
* [shardformer] vit support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [pipeline] merge flash attention branch
* [pipeline] merge flash attention branch
* [pipeline] merge flash attention branch
* [pipeline] fix conflict
* [pipeline] fix conflict
* Merge branch 'feature/pipeline' into feature/pipeline
* Merge branch 'feature/pipeline' into feature/pipeline
* Merge branch 'feature/pipeline' into feature/pipeline
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* fix flash attention tests
* gemini ignore whisper
* fix vit
* fix xformers import handle
---------
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* fix llama test
* fix test bug of bert, blip2, bloom, gpt2
* fix llama test
* fix opt test
* fix sam test
* fix sam test
* fix t5 test
* fix vit test
* fix whisper test
* fix whisper test
* polish code
* adjust allclose parameter
* Add mistakenly deleted code
* addjust allclose
* change loss function for some base model
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* 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
* 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
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* support base vit pipeline
* support vit downstream model
* fix vit shard test
* modify hidden states return type
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
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