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Author SHA1 Message Date
Wenhao Chen 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
Xuanlei Zhao 68fcaa2225
remove duplicate import (#5100) 2023-11-23 15:15:01 +08:00
flybird11111 aae496631c
[shardformer]fix flash attention, when mask is casual, just don't unpad it (#5084) 
* fix flash attn

* fix

fix
 2023-11-22 16:00:07 +08:00
Bin Jia 4e3959d316
[hotfix/hybridengine] Fix init model with random parameters in benchmark (#5074) 
* fix init model with random parameters

* fix example
 2023-11-20 20:15:25 +08:00
flybird11111 97cd0cd559
[shardformer] fix llama error when transformers upgraded. (#5055) 
* fix-llama

* Update llama.py
 2023-11-16 21:34:04 +08:00
Elsa Granger 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
flybird11111 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.

* 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>

* [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.

* [hotfix] fix the bug of repeatedly storing param group (#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
Jianghai 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
Hongxin Liu 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
Xu Kai d1fcc0fa4d
[infer] fix test bug (#4838) 
* fix test bug

* delete useless code

* fix typo
 2023-10-04 10:01:03 +08:00
Jianghai 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
Hongxin Liu 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
flybird11111 c7d6975d29
[shardformer] fix GPT2DoubleHeadsModel (#4703) 2023-09-13 15:57:16 +08:00
Cuiqing Li 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.

* [Doc] Add colossal inference doc (#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
flybird11111 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
flybird11111 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
Baizhou Zhang 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
flybird11111 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
flybird11111 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
Bin Jia 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
Jianghai 5545114fd8
rename chatglm to chatglm2 (#4484) 2023-08-22 14:13:31 +08:00
Jianghai 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
flybird11111 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
flybird11111 0ecd71e041
[shardformer] bloom support sequence parallel (#4465) 
[shardformer] bloom support sequence parallel
 2023-08-18 15:34:18 +08:00
Bin Jia 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
Bin Jia 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
Hongxin Liu 172f7fa3cf [misc] resolve code factor issues (#4433) 2023-08-15 23:25:14 +08:00
flybird11111 1edc9b5fb3 [shardformer] update tests for all optimization (#4413) 
[shardformer] update tests for all optimization
 2023-08-15 23:25:14 +08:00
Baizhou Zhang 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
flybird1111 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
Baizhou Zhang 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
flybird1111 906426cb44 [Shardformer] Merge flash attention branch to pipeline branch (#4362) 
* [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>
 2023-08-15 23:25:14 +08:00
Jianghai a88e92251d [pipeline] add chatglm (#4363) 
* 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

* add chatglm

* add

* chatglm

* chatglm

* finish chatglm

* deletes

* fix rmsnorm

* chatglm

* fix chatglm shard

* init
 2023-08-15 23:25:14 +08:00
FoolPlayer 879301d0da [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
 2023-08-15 23:25:14 +08:00
FoolPlayer dd2bf02679 [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
 2023-08-15 23:25:14 +08:00
Baizhou Zhang da3cef27ad [pipeline] fix return_dict/fix pure_pipeline_test (#4331) 2023-08-15 23:25:14 +08:00
Hongxin Liu 261eab02fb [plugin] add 3d parallel plugin (#4295) 
* [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
FoolPlayer b3f5d7a3ba [shardformer] support pipeline base vit model (#4284) 
* 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>
 2023-08-15 23:25:14 +08:00
Baizhou Zhang 083d7da33d [pipeline] add pipeline support for all T5 models (#4310) 
* complete policy for T5Model & T5ForConditionalGeneration

* modify function signature in forwards

* add forward for T5model

* add forward for T5ForConditionalGeneration

* fix a bug

* fix hidden_states transporting in decoder

* fix the passing of encoder_outputs
 2023-08-15 23:25:14 +08:00
Baizhou Zhang 36e546b2cc [pipeline] add pipeline support for T5Stack/T5EncoderModel (#4300) 
* modify t5 policy & add test

* pipeline stage distribution for t5

* complete t5 base policy

* t5 stack: halfway

* modify gpt2 pipeline test

* complete pipeline forward for T5Stack/T5EncoderModel

* fix docstring

* move t5 util tests to test_pipeline
 2023-08-15 23:25:14 +08:00
Jianghai 18ebcf406a [pipeline] reformat for unified design (#4283) 
* bert_reformat

* reformat

* reformat

* fix a typo

* format

* format

* fix bug
 2023-08-15 23:25:14 +08:00
Baizhou Zhang b774d5ea0f [pipeline] refactor gpt2 pipeline forwards (#4287) 
* move gpt2 pipeline forwards to modeling folder

* check pipeline status when adding replacing policy

* fix typehint

* fix arguments processing in gpt2_model_forward
 2023-08-15 23:25:14 +08:00
Frank Lee 89f45eda5a [shardformer] added development protocol for standardization (#4149) 2023-07-04 16:05:01 +08:00