fcf776ff1b
[Feature] LoRA rebased to main branch ( #5622 )
...
* [Inference]ADD Bench Chatglm2 script (#4963 )
* add bench chatglm
* fix bug and make utils
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Pipeline inference] Combine kvcache with pipeline inference (#4938 )
* merge kvcache with pipeline inference and refactor the code structure
* support ppsize > 2
* refactor pipeline code
* do pre-commit
* modify benchmark
* fix bench mark
* polish code
* add docstring and update readme
* refactor the code
* fix some logic bug of ppinfer
* polish readme
* fix typo
* skip infer test
* updated c++17 compiler flags (#4983 )
* [Inference] Dynamic Batching Inference, online and offline (#4953 )
* [inference] Dynamic Batching for Single and Multiple GPUs (#4831 )
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894 )
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901 )
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901 )" (#4905 )
This reverts commit fbf3c09e67#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#4935 )
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention (#4965 )
* adding flash-decoding
* clean
* adding kernel
* adding flash-decoding
* add integration
* add
* adding kernel
* adding kernel
* adding triton 2.1.0 features for inference
* update bloom triton kernel
* remove useless vllm kernels
* clean codes
* fix
* adding files
* fix readme
* update llama flash-decoding
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* fix ColossalEval (#4992 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc]Update doc for colossal-inference (#4989 )
* update doc
* Update README.md
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [hotfix] Fix the bug where process groups were not being properly released. (#4940 )
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit 479900c139#4951 )
* [doc] add supported feature diagram for hybrid parallel plugin (#4996 )
* [Pipeline Inference] Merge pp with tp (#4993 )
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [release] update version (#4995 )
* [release] update version
* [hotfix] fix ci
* [moe] merge moe into main (#4978 )
* update moe module
* support openmoe
* [hotfix] fix grad accumulation plus clipping for gemini (#5002 )
* [hotfix] Add layer norm gradients all-reduce for sequence parallel (#4926 )
* [hotfix] Add layer norm gradients all-reduce for sequence parallel. (#4915 )
* Add layer norm gradients all-reduce for sequence parallel.
* skip pipeline inference test
* [hotfix] fixing polices of sequence parallel (#4922 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
---------
Co-authored-by: littsk <1214689160@qq.com>
* Hotfix/add grad all reduce for sequence parallel (#4927 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
* fix bug using wrong variables
---------
Co-authored-by: littsk <1214689160@qq.com>
* fix policy initialization
* fix bloom and chatglm policices
* polish code of handling layernorm
* fix moe module
* polish code of class initializing
---------
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
* [format] applied code formatting on changed files in pull request 4926 (#5007 )
Co-authored-by: github-actions <github-actions@github.com>
* [Inference] Fix bug in ChatGLM2 Tensor Parallelism (#5014 )
* fix bug
* fix
* fix multiquery
* fix multiquery
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [misc] add code owners (#5024 )
* [moe] support optimizer checkpoint (#5015 )
* Refactor MoE Manager setup method
* unshard optim ckpt
* optim io
* update transformer version
* update requirements
* update ckpt
* update ckpt
* update ckpt
* fix engine
* fix engine
* Support mtbench (#5025 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [moe]: fix ep/tp tests, add hierarchical all2all (#4982 )
* fix: add warning for EP different behavior
* fix: use shard_data in ep & tp model
* to: add used_capacity
* fix: fix router test
* feat: add create_ep_node_group
* feat: add create_ep_hierarchical_group fn
* feat: add HierarchicalAllToAll
* test: add hierarchical all2all test
* fix: fix test errors
* fix: simplify create_ep_hierarchical_group
* fix: add hierarchical_alltoall arg
* fix: fix environ typo
* revert: revert process mesh order
* to: add todo mark
* fix: skip hierarchical_comm if torch < 1.13.1
* [shardformer] Fix serialization error with Tensor Parallel state saving (#5018 )
* Fix serialization error with Tensor Parallel state saving
* Refactor state_dict CPU transfer using tree_map
* [gemini] gemini support tensor parallelism. (#4942 )
* [colossalai]fix typo
* [inference] Add smmoothquant for llama (#4904 )
* [inference] add int8 rotary embedding kernel for smoothquant (#4843 )
* [inference] add smoothquant llama attention (#4850 )
* add smoothquant llama attention
* remove uselss code
* remove useless code
* fix import error
* rename file name
* [inference] add silu linear fusion for smoothquant llama mlp (#4853 )
* add silu linear
* update skip condition
* catch smoothquant cuda lib exception
* prcocess exception for tests
* [inference] add llama mlp for smoothquant (#4854 )
* add llama mlp for smoothquant
* fix down out scale
* remove duplicate lines
* add llama mlp check
* delete useless code
* [inference] add smoothquant llama (#4861 )
* add smoothquant llama
* fix attention accuracy
* fix accuracy
* add kv cache and save pretrained
* refactor example
* delete smooth
* refactor code
* [inference] add smooth function and delete useless code for smoothquant (#4895 )
* add smooth function and delete useless code
* update datasets
* remove duplicate import
* delete useless file
* refactor codes (#4902 )
* rafactor code
* add license
* add torch-int and smoothquant license
* Update flash_attention_patch.py
To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer.
https://github.com/huggingface/transformers/pull/25598
* [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921 )
* [kernel] support pure fp16 for cpu adam (#4896 )
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
* [test] update gemini optim test
* [format] applied code formatting on changed files in pull request 4908 (#4918 )
Co-authored-by: github-actions <github-actions@github.com>
* [gemini] support gradient accumulation (#4869 )
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
* [hotfix] fix torch 2.0 compatibility (#4936 )
* [hotfix] fix launch
* [test] fix test gemini optim
* [shardformer] fix vit
* [test] add no master test for low level zero plugin (#4934 )
* [format] applied code formatting on changed files in pull request 4820 (#4886 )
Co-authored-by: github-actions <github-actions@github.com>
* [nfc] fix some typo with colossalai/ docs/ etc. (#4920 )
* [Refactor] Integrated some lightllm kernels into token-attention (#4946 )
* add some req for inference
* clean codes
* add codes
* add some lightllm deps
* clean codes
* hello
* delete rms files
* add some comments
* add comments
* add doc
* add lightllm deps
* add lightllm cahtglm2 kernels
* add lightllm cahtglm2 kernels
* replace rotary embedding with lightllm kernel
* add some commnets
* add some comments
* add some comments
* add
* replace fwd kernel att1
* fix a arg
* add
* add
* fix token attention
* add some comments
* clean codes
* modify comments
* fix readme
* fix bug
* fix bug
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [test] merge old components to test to model zoo (#4945 )
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* [inference] add reference and fix some bugs (#4937 )
* add reference and fix some bugs
* update gptq init
---------
Co-authored-by: Xu Kai <xukai16@foxamil.com>
* [Inference]ADD Bench Chatglm2 script (#4963 )
* add bench chatglm
* fix bug and make utils
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Pipeline inference] Combine kvcache with pipeline inference (#4938 )
* merge kvcache with pipeline inference and refactor the code structure
* support ppsize > 2
* refactor pipeline code
* do pre-commit
* modify benchmark
* fix bench mark
* polish code
* add docstring and update readme
* refactor the code
* fix some logic bug of ppinfer
* polish readme
* fix typo
* skip infer test
* updated c++17 compiler flags (#4983 )
* [Inference] Dynamic Batching Inference, online and offline (#4953 )
* [inference] Dynamic Batching for Single and Multiple GPUs (#4831 )
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894 )
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901 )
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901 )" (#4905 )
This reverts commit fbf3c09e67#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#4935 )
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention (#4965 )
* adding flash-decoding
* clean
* adding kernel
* adding flash-decoding
* add integration
* add
* adding kernel
* adding kernel
* adding triton 2.1.0 features for inference
* update bloom triton kernel
* remove useless vllm kernels
* clean codes
* fix
* adding files
* fix readme
* update llama flash-decoding
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* fix ColossalEval (#4992 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc]Update doc for colossal-inference (#4989 )
* update doc
* Update README.md
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [hotfix] Fix the bug where process groups were not being properly released. (#4940 )
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit 479900c139#4951 )
* [doc] add supported feature diagram for hybrid parallel plugin (#4996 )
* [Pipeline Inference] Merge pp with tp (#4993 )
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [release] update version (#4995 )
* [release] update version
* [hotfix] fix ci
* [gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
* fix
fix
fix
* update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
* support fused layernorm
support fused layernorm
support fused layernorm
* update fusedlayernorm
update fusedlayernorm
update fusedlayernorm
* add sequence parallel to gemini
add sequence parallel to gemini
* fix
* fix comments
fix comments
fix comments
* fix
* fix t5
* clear cache
* fix
* activate ci
* activate ci
* fix
* fix
* fix
* fix
* revert
* modify tp gather method
modify tp gather method
modify tp gather method
modify tp gather method
* fix test
---------
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>
Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
Co-authored-by: Xu Kai <xukai16@foxamil.com>
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: littsk <1214689160@qq.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
* [hotfix] Suport extra_kwargs in ShardConfig (#5031 )
* [refactor]: replace inference args with extra_kwargs in ShardConfig
* modify shardconfig
* polish code
* fix policy bug in llama
* fix bug in auto policy
* remove setattr in ShardConfig
* fix wrong EOS token in ColossalChat
* [Kernels]Update triton kernels into 2.1.0 (#5046 )
* update flash-context-attention
* adding kernels
* fix
* reset
* add build script
* add building process
* add llama2 exmaple
* add colossal-llama2 test
* clean
* fall back test setting
* fix test file
* clean
* clean
* clean
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [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>
* [gemini] gemini support extra-dp (#5043 )
* support ddp
* fix
* fix
* fix
fix
* support ddp
* fix
* fix
* fix
fix
* simplify tests
* fix
* fix
* fix
fix
fix
* fix
* [shardformer] fix llama error when transformers upgraded. (#5055 )
* fix-llama
* Update llama.py
* [hotfix]: modify create_ep_hierarchical_group and add test (#5032 )
* feat: modify create_ep_hierarchical_group args
* test: add ep tests
* fix: remove get_process_group_ranks
* fix: fix src_rank
* [exampe] fix llama example' loss error when using gemini plugin (#5060 )
fix llama example
* [inference] Refactor inference architecture (#5057 )
* [inference] support only TP (#4998 )
* support only tp
* enable tp
* add support for bloom (#5008 )
* [refactor] refactor gptq and smoothquant llama (#5012 )
* refactor gptq and smoothquant llama
* fix import error
* fix linear import torch-int
* fix smoothquant llama import error
* fix import accelerate error
* fix bug
* fix import smooth cuda
* fix smoothcuda
* [Inference Refactor] Merge chatglm2 with pp and tp (#5023 )
merge chatglm with pp and tp
* [Refactor] remove useless inference code (#5022 )
* remove useless code
* fix quant model
* fix test import bug
* mv original inference legacy
* fix chatglm2
* [Refactor] refactor policy search and quant type controlling in inference (#5035 )
* [Refactor] refactor policy search and quant type controling in inference
* [inference] update readme (#5051 )
* update readme
* update readme
* fix architecture
* fix table
* fix table
* [inference] udpate example (#5053 )
* udpate example
* fix run.sh
* fix rebase bug
* fix some errors
* update readme
* add some features
* update interface
* update readme
* update benchmark
* add requirements-infer
---------
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
* [Kernels]added flash-decoidng of triton (#5063 )
* added flash-decoidng of triton based on lightllm kernel
* add req
* clean
* clean
* delete build.sh
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [misc] remove outdated submodule (#5070 )
* [npu] add npu support for gemini and zero (#5067 )
* [npu] setup device utils (#5047 )
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052 )
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065 )
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
* [hotfix/hybridengine] fix bug when tp*pp size = 1 (#5069 )
* [inference] update examples and engine (#5073 )
* update examples and engine
* fix choices
* update example
* [format] applied code formatting on changed files in pull request 5067 (#5072 )
Co-authored-by: github-actions <github-actions@github.com>
* [hotfix/hybridengine] Fix init model with random parameters in benchmark (#5074 )
* fix init model with random parameters
* fix example
* [inference] refactor examples and fix schedule (#5077 )
* [setup] refactor infer setup
* [hotfix] fix infenrece behavior on 1 1 gpu
* [exmaple] refactor inference examples
* fix thrust-transform-reduce error (#5078 )
* [nfc] fix typo in docs/ (#4972 )
* [nfc] fix typo and author name (#5089 )
* [gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range (#5085 )
* [Hotfix] Fix model policy matching strategy in ShardFormer (#5064 )
* hotfix/Fix get model policy strategy in ShardFormer
* fix bug in auto policy
* [shardformer]fix flash attention, when mask is casual, just don't unpad it (#5084 )
* fix flash attn
* fix
fix
* [npu] add npu support for hybrid plugin and llama (#5090 )
* llama 3d
* update
* fix autocast
* [Feature] Add document retrieval QA (#5020 )
* add langchain
* add langchain
* Add files via upload
* add langchain
* fix style
* fix style: remove extra space
* add pytest; modified retriever
* add pytest; modified retriever
* add tests to build_on_pr.yml
* fix build_on_pr.yml
* fix build on pr; fix environ vars
* seperate unit tests for colossalqa from build from pr
* fix container setting; fix environ vars
* commented dev code
* add incremental update
* remove stale code
* fix style
* change to sha3 224
* fix retriever; fix style; add unit test for document loader
* fix ci workflow config
* fix ci workflow config
* add set cuda visible device script in ci
* fix doc string
* fix style; update readme; refactored
* add force log info
* change build on pr, ignore colossalqa
* fix docstring, captitalize all initial letters
* fix indexing; fix text-splitter
* remove debug code, update reference
* reset previous commit
* update LICENSE update README add key-value mode, fix bugs
* add files back
* revert force push
* remove junk file
* add test files
* fix retriever bug, add intent classification
* change conversation chain design
* rewrite prompt and conversation chain
* add ui v1
* ui v1
* fix atavar
* add header
* Refactor the RAG Code and support Pangu
* Refactor the ColossalQA chain to Object-Oriented Programming and the UI demo.
* resolved conversation. tested scripts under examples. web demo still buggy
* fix ci tests
* Some modifications to add ChatGPT api
* modify llm.py and remove unnecessary files
* Delete applications/ColossalQA/examples/ui/test_frontend_input.json
* Remove OpenAI api key
* add colossalqa
* move files
* move files
* move files
* move files
* fix style
* Add Readme and fix some bugs.
* Add something to readme and modify some code
* modify a directory name for clarity
* remove redundant directory
* Correct a type in llm.py
* fix AI prefix
* fix test_memory.py
* fix conversation
* fix some erros and typos
* Fix a missing import in RAG_ChatBot.py
* add colossalcloud LLM wrapper, correct issues in code review
---------
Co-authored-by: YeAnbang <anbangy2@outlook.com>
Co-authored-by: Orion-Zheng <zheng_zian@u.nus.edu>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>
* remove duplicate import (#5100 )
* fix typo change lazy_iniy to lazy_init (#5099 )
* [nfc] fix typo change directoty to directory (#5111 )
* [FEATURE] Add Safety Eval Datasets to ColossalEval (#5095 )
* add safetybench and cvalues(responsibility) eval dataset
* Modify code according to review suggestions
---------
Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>
* [hotfix] fixed memory usage of shardformer module replacement (#5122 )
* [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>
* [doc] add moe news (#5128 )
* [doc] add moe news
* [doc] add moe news
* [doc] add moe news
* [doc] updated paper citation (#5131 )
* fix typo change JOSNL TO JSONL etc. (#5116 )
* [format] applied code formatting on changed files in pull request 5088 (#5127 )
Co-authored-by: github-actions <github-actions@github.com>
* [format] applied code formatting on changed files in pull request 5124 (#5125 )
Co-authored-by: github-actions <github-actions@github.com>
* [format] applied code formatting on changed files in pull request 5115 (#5118 )
Co-authored-by: github-actions <github-actions@github.com>
* [accelerator] init the accelerator module (#5129 )
* [accelerator] init the accelerator module
* polish code
* polish code
* polish code
* polish code
* [npu] support triangle attention for llama (#5130 )
* update fused attn
* update spda
* tri attn
* update triangle
* import
* fix
* fix
* [plugin]fix 3d checkpoint load when booster boost without optimizer. (#5135 )
* fix 3d checkpoint load when booster boost without optimizer
fix 3d checkpoint load when booster boost without optimizer
* test ci
* revert ci
* fix
fix
* [ColossalQA] refactor server and webui & add new feature (#5138 )
* refactor server and webui & add new feature
* add requirements
* modify readme and ui
* [doc] fix colossalqa document (#5146 )
* fix doc
* modify doc
* fix (#5158 )
fix
* [Colossal-Llama-2] Add finetuning Colossal-Llama-2 example (#4878 )
* Add finetuning Colossal-Llama-2 example
* Add finetuning Colossal-Llama-2 example 2
* Add finetuning Colossal-Llama-2 example and support NEFTuning
* Add inference example and refine neftune
* Modify readme file
* update the imports
---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
* [gemini] hotfix NaN loss while using Gemini + tensor_parallel (#5150 )
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
* [colossalqa] fix pangu api (#5170 )
* fix pangu api
* add comment
* [ColossalEval] Support GSM, Data Leakage Evaluation and Tensor Parallel (#5169 )
* Support GSM, Data Leakage Evaluation and Tensor Parallel
* remove redundant code and update inference.py in examples/gpt_evaluation
---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [shardformer] llama support DistCrossEntropy (#5176 )
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
* llama support dist-cross
fix
fix
fix
fix
fix
fix
fix
fix
* fix
* fix
* fix
fix
* test ci
* test ci
* fix
* [Colossal-Llama-2] Add finetuning Colossal-Llama-2 example (#4878 )
* Add finetuning Colossal-Llama-2 example
* Add finetuning Colossal-Llama-2 example 2
* Add finetuning Colossal-Llama-2 example and support NEFTuning
* Add inference example and refine neftune
* Modify readme file
* update the imports
---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
* llama support dist-cross
fix
fix
fix
fix
fix
fix
fix
fix
* fix
* fix
* fix
fix
* test ci
* test ci
* fix
* fix ci
* fix ci
---------
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
* Fix ColossalEval (#5186 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc] update pytorch version in documents. (#5177 )
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
* update pytorch version in documents
* polish readme in application/chat (#5194 )
* [pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp (#5134 )
* test: add more p2p tests
* fix: remove send_forward_recv_forward as p2p op list need to use the same group
* fix: make send and receive atomic
* feat: update P2PComm fn
* feat: add metadata cache in 1f1b
* feat: add metadata cache in interleaved pp
* feat: modify is_xx_stage fn
* revert: add _broadcast_object_list
* feat: add interleaved pp in llama policy
* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
* Improve logic for selecting metrics (#5196 )
Co-authored-by: Xu <yuanchen.xu00@gmail.com>
* [doc] Update required third-party library list for testing and torch comptibility checking (#5207 )
* doc/update requirements-test.txt
* update torch-cuda compatibility check
* support linear accumulation fusion (#5199 )
support linear accumulation fusion
support linear accumulation fusion
fix
* [pipeline]: support arbitrary batch size in forward_only mode (#5201 )
* fix: remove drop last in val & test dataloader
* feat: add run_forward_only, support arbitrary bs
* chore: modify ci script
* [pipeline]: add p2p fallback order and fix interleaved pp deadlock (#5214 )
* fix: add fallback order option and update 1f1b
* fix: fix deadlock comm in interleaved pp
* test: modify p2p test
* [devops] update torch versoin in ci (#5217 )
* fix-test (#5210 )
fix-test
fix-test
* fix flash attn (#5209 )
* [nfc] fix typo colossalai/shardformer/ (#5133 )
* [Colossal-LLaMA-2] Release Colossal-LLaMA-2-13b-base model (#5224 )
* update readme
* update readme
* update link
* update
* update readme
* update
* update
* update
* update title
* update example
* update example
* fix content
* add conclusion
* add license
* update
* update
* update version
* fix minor
* [doc] Update README.md of Colossal-LLAMA2 (#5233 )
* Update README.md
* Update README.md
* [doc] Make leaderboard format more uniform and good-looking (#5231 )
* Make leaderboard format more unifeid and good-looking
* Update README.md
* Update README.md
* [doc] add Colossal-LLaMA-2-13B (#5234 )
* [doc] add Colossal-LLaMA-2-13B
* [doc] add Colossal-LLaMA-2-13B
* [doc] add Colossal-LLaMA-2-13B
* [format] applied code formatting on changed files in pull request 5234 (#5235 )
Co-authored-by: github-actions <github-actions@github.com>
* [doc] SwiftInfer release (#5236 )
* [doc] SwiftInfer release
* [doc] SwiftInfer release
* [doc] SwiftInfer release
* [doc] SwiftInfer release
* [doc] SwiftInfer release
* [npu] use extension for op builder (#5172 )
* update extension
* update cpu adam
* update is
* add doc for cpu adam
* update kernel
* update commit
* update flash
* update memory efficient
* update flash attn
* update flash attention loader
* update api
* fix
* update doc
* update example time limit
* reverse change
* fix doc
* remove useless kernel
* fix
* not use warning
* update
* update
* [pipeline] A more general _communicate in p2p (#5062 )
* A more general _communicate
* feat: finish tree_flatten version p2p
* fix: update p2p api calls
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [npu] change device to accelerator api (#5239 )
* update accelerator
* fix timer
* fix amp
* update
* fix
* update bug
* add error raise
* fix autocast
* fix set device
* remove doc accelerator
* update doc
* update doc
* update doc
* use nullcontext
* update cpu
* update null context
* change time limit for example
* udpate
* update
* update
* update
* [npu] polish accelerator code
---------
Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
* [hotfix] removed unused flag (#5242 )
* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247 )
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed ddp test (#5254 )
* [ci] fixed ddp test
* polish
* fix typo in applications/ColossalEval/README.md (#5250 )
* [ci] fix shardformer tests. (#5255 )
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [doc] fix doc typo (#5256 )
* [doc] fix annotation display
* [doc] fix llama2 doc
* [hotfix]: add pp sanity check and fix mbs arg (#5268 )
* fix: fix misleading mbs arg
* feat: add pp sanity check
* fix: fix 1f1b sanity check
* [workflow] fixed incomplete bash command (#5272 )
* [workflow] fixed oom tests (#5275 )
* [workflow] fixed oom tests
* polish
* polish
* polish
* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276 )
* fix ci
fix
* fix test
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
* fix
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
* support gradients acc
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230 )
* fix auto loading gpt2 tokenizer (#5279 )
* [doc] add llama2-13B disyplay (#5285 )
* Update README.md
* fix 13b typo
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* fix llama pretrain (#5287 )
* [hotfix] fix 3d plugin test (#5292 )
* fix bug for mefture (#5299 )
* [NFC] polish applications/Colossal-LLaMA-2/colossal_llama2/tokenizer/init_tokenizer.py code style (#5228 )
* fix some typo (#5307 )
* [feat] refactored extension module (#5298 )
* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* [workflow] updated CI image (#5318 )
* [accelerator] fixed npu api
* [tests] fix t5 test. (#5322 )
* [ci] fix shardformer tests. (#5255 )
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* fix t5 test
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [doc] added docs for extensions (#5324 )
* [doc] added docs for extensions
* polish
* polish
* fix typo under extensions/ (#5330 )
* fix typo change dosen't to doesn't (#5308 )
* [extension] fixed exception catch (#5342 )
* [Chat] fix sft loss nan (#5345 )
* fix script
* fix script
* fix chat nan
* fix chat nan
* [checkpointio] fix gemini and hybrid parallel optim checkpoint (#5347 )
* [checkpointio] fix hybrid parallel optim checkpoint
* [extension] fix cuda extension
* [checkpointio] fix gemini optimizer checkpoint
* polish code
* [fix] remove unnecessary dp_size assert (#5351 )
* fix: remove unnecessary assert
* test: add more 3d plugin tests
* fix: add warning
* [gemini] fix param op hook when output is tuple (#5355 )
* [gemini] fix param op hook when output is tuple
* [gemini] fix param op hook
* [llama] fix dataloader for hybrid parallel (#5358 )
* [plugin] refactor prepare dataloader
* [plugin] update train script
* [llama] update training script (#5360 )
* [llama] update training script
* [doc] polish docstr
* [llama] add flash attn patch for npu (#5362 )
* [llama] fix neftune & pbar with start_step (#5364 )
* [eval] update llama npu eval (#5366 )
* [llama] polish training script and fix optim ckpt (#5368 )
* [lr-scheduler] fix load state dict and add test (#5369 )
* [llama] fix memory issue (#5371 )
* [llama] fix memory issue
* [llama] add comment
* [moe] init mixtral impl
* [moe] update capacity computing (#5253 )
* [moe] top2 allow uneven input
* [moe] update capacity computing
* [moe] remove debug info
* [moe] update capacity computing
* [moe] update capacity computing
* [moe] support mixtral (#5309 )
* [moe] add mixtral block for single expert
* [moe] mixtral block fwd support uneven ep
* [moe] mixtral block bwd support uneven ep
* [moe] add mixtral moe layer
* [moe] simplify replace
* [meo] support save sharded mixtral
* [meo] support load sharded mixtral
* [meo] support save sharded optim
* [meo] integrate moe manager into plug
* [meo] fix optimizer load
* [meo] fix mixtral layer
* [moe] fix mixtral checkpoint io (#5314 )
* [moe] fix mixtral forward default value (#5329 )
* [moe] fix mixtral optim checkpoint (#5344 )
* [moe] fix tests
* [release] update version (#5380 )
* [llama] fix training and inference scripts (#5384 )
* [llama] refactor inference example to fit sft
* [llama] fix training script to fit gemini
* [llama] fix inference script
* [doc] Fix typo (#5361 )
* [doc] updated installation command (#5389 )
* [hotfix] fix variable type for top_p (#5313 )
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [hotfix] Fix wrong import in meta_registry (#5392 )
* [extension] hotfix jit extension setup (#5402 )
* [example] reuse flash attn patch (#5400 )
* [fsdp] impl save/load shard model/optimizer (#5357 )
* [setup] fixed nightly release (#5388 )
* [shardformer]gather llama logits (#5398 )
* gather llama logits
* fix
* update requirements (#5407 )
* [workflow] added pypi channel (#5412 )
* [doc] fix blog link
* [doc] fix blog link
* fix sft single turn inference example (#5416 )
* [example]add gpt2 benchmark example script. (#5295 )
* benchmark gpt2
* fix
fix
fix
fix
* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247 )
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed ddp test (#5254 )
* [ci] fixed ddp test
* polish
* fix typo in applications/ColossalEval/README.md (#5250 )
* [ci] fix shardformer tests. (#5255 )
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [doc] fix doc typo (#5256 )
* [doc] fix annotation display
* [doc] fix llama2 doc
* [hotfix]: add pp sanity check and fix mbs arg (#5268 )
* fix: fix misleading mbs arg
* feat: add pp sanity check
* fix: fix 1f1b sanity check
* [workflow] fixed incomplete bash command (#5272 )
* [workflow] fixed oom tests (#5275 )
* [workflow] fixed oom tests
* polish
* polish
* polish
* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276 )
* fix ci
fix
* fix test
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
* fix
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
* support gradients acc
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230 )
* fix auto loading gpt2 tokenizer (#5279 )
* [doc] add llama2-13B disyplay (#5285 )
* Update README.md
* fix 13b typo
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* fix llama pretrain (#5287 )
* fix
* fix
* fix
fix
* fix
fix
fix
* fix
fix
* benchmark gpt2
* fix
fix
fix
fix
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* fix
fix
* fix
fix
fix
* fix
* fix
fix
fix
fix
fix
* fix
* Update shardformer.py
---------
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>
* [doc] sora release (#5425 )
* [doc] sora release
* [doc] sora release
* [doc] sora release
* [doc] sora release
* [devops] fix extention building (#5427 )
* [hotfix] fix sd vit import error (#5420 )
* fix import error
* Update dpt_depth.py
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [hotfix] fix typo of openmoe model source (#5403 )
* [doc] update some translations with README-zh-Hans.md (#5382 )
* [hotfix] fix typo change _descrption to _description (#5331 )
* [hotfix] fix typo change enabel to enable under colossalai/shardformer/ (#5317 )
* [eval-hotfix] set few_shot_data to None when few shot is disabled (#5422 )
* [hotfix] fix typo change MoECheckpintIO to MoECheckpointIO (#5335 )
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [doc] Fix typo s/infered/inferred/ (#5288 )
Signed-off-by: hugo-syn <hugo.vincent@synacktiv.com>
* [hotfix] fix stable diffusion inference bug. (#5289 )
* Update train_ddp.yaml
delete "strategy" to fix DDP config loading bug in "main.py"
* Update train_ddp.yaml
fix inference with scripts/txt2img.py config file load bug.
* Update README.md
add pretrain model test code.
* [colossal-llama2] add stream chat examlple for chat version model (#5428 )
* add stream chat for chat version
* remove os.system clear
* modify function name
* [release] update version (#5411 )
* fix tensor data update for gemini loss caluculation (#5442 )
* [hotfix] fix typo s/keywrods/keywords etc. (#5429 )
* [devops] fix compatibility (#5444 )
* [devops] fix compatibility
* [hotfix] update compatibility test on pr
* [devops] fix compatibility
* [devops] record duration during comp test
* [test] decrease test duration
* fix falcon
* [shardformer] fix gathering output when using tensor parallelism (#5431 )
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
fix
fix
* fix
* fix
fix
fix
* fix gather output
* fix
* fix
* fix
fix resize embedding
fix resize embedding
* fix resize embedding
fix
* revert
* revert
* revert
* [doc] release Open-Sora 1.0 with model weights (#5468 )
* [doc] release Open-Sora 1.0 with model weights
* [doc] release Open-Sora 1.0 with model weights
* [doc] release Open-Sora 1.0 with model weights
* [doc] update open-sora demo (#5479 )
* [doc] update open-sora demo
* [doc] update open-sora demo
* [doc] update open-sora demo
* [example] add grok-1 inference (#5485 )
* [misc] add submodule
* remove submodule
* [example] support grok-1 tp inference
* [example] add grok-1 inference script
* [example] refactor code
* [example] add grok-1 readme
* [exmaple] add test ci
* [exmaple] update readme
* [release] grok-1 314b inference (#5490 )
* [release] grok-1 inference
* [release] grok-1 inference
* [release] grok-1 inference
* [example] update Grok-1 inference (#5495 )
* revise grok-1 example
* remove unused arg in scripts
* prevent re-installing torch
* update readme
* revert modifying colossalai requirements
* add perf
* trivial
* add tokenizer url
* [hotfix] set return_outputs=False in examples and polish code (#5404 )
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
* [release] grok-1 inference benchmark (#5500 )
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [shardformer]Fix lm parallel. (#5480 )
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
fix
fix
* fix
* fix
fix
fix
* fix gather output
* fix
* fix
* fix
fix resize embedding
fix resize embedding
* fix resize embedding
fix
* revert
* revert
* revert
* fix lm forward distribution
* fix
* test ci
* fix
* [fix] fix grok-1 example typo (#5506 )
* [devops] fix example test ci (#5504 )
* Fix ColoTensorSpec for py11 (#5440 )
* fixed layout converter caching and updated tester
* Empty-Commit
* [shardformer] update colo attention to support custom mask (#5510 )
* [feature] refactor colo attention (#5462 )
* [extension] update api
* [feature] add colo attention
* [feature] update sdpa
* [feature] update npu attention
* [feature] update flash-attn
* [test] add flash attn test
* [test] update flash attn test
* [shardformer] update modeling to fit colo attention (#5465 )
* [misc] refactor folder structure
* [shardformer] update llama flash-attn
* [shardformer] fix llama policy
* [devops] update tensornvme install
* [test] update llama test
* [shardformer] update colo attn kernel dispatch
* [shardformer] update blip2
* [shardformer] update chatglm
* [shardformer] update gpt2
* [shardformer] update gptj
* [shardformer] update opt
* [shardformer] update vit
* [shardformer] update colo attention mask prep
* [shardformer] update whisper
* [test] fix shardformer tests (#5514 )
* [test] fix shardformer tests
* [test] fix shardformer tests
* [format] applied code formatting on changed files in pull request 5510 (#5517 )
Co-authored-by: github-actions <github-actions@github.com>
* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189 )
* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
* Change static methods for t5 layer distribution to member functions
* Change static methods for whisper layer distribution to member functions
* Replace whisper policy usage with self one
* Fix test case to use non-static layer distribution methods
* fix: fix typo
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532 )
* [fix] use tokenizer from the same pretrained path
* trust remote code
* [ColossalChat] Update RLHF V2 (#5286 )
* Add dpo. Fix sft, ppo, lora. Refactor all
* fix and tested ppo
* 2 nd round refactor
* add ci tests
* fix ci
* fix ci
* fix readme, style
* fix readme style
* fix style, fix benchmark
* reproduce benchmark result, remove useless files
* rename to ColossalChat
* use new image
* fix ci workflow
* fix ci
* use local model/tokenizer for ci tests
* fix ci
* fix ci
* fix ci
* fix ci timeout
* fix rm progress bar. fix ci timeout
* fix ci
* fix ci typo
* remove 3d plugin from ci temporary
* test environment
* cannot save optimizer
* support chat template
* fix readme
* fix path
* test ci locally
* restore build_or_pr
* fix ci data path
* fix benchmark
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---------
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
* [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508 )
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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* integrating ring-based sequence parallelism into ShardFormer
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* integrating ring-based sequence parallelism into ShardFormer
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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Co-authored-by: binmakeswell <binmakeswell@gmail.com>
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
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Co-authored-by: github-actions <github-actions@github.com>
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
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Co-authored-by: Tong Li <tong.li352711588@gmail.com>
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* integrating ring-based sequence parallelism into ShardFormer
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---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* [hotfix] quick fixes to make legacy tutorials runnable (#5559 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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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>
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2024-04-23 17:57:44 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
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* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
b5f9e37c70
[legacy] clean up legacy code ( #4743 )
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* [legacy] remove outdated codes of pipeline (#4692 )
* [legacy] remove cli of benchmark and update optim (#4690 )
* [legacy] remove cli of benchmark and update optim
* [doc] fix cli doc test
* [legacy] fix engine clip grad norm
* [legacy] remove outdated colo tensor (#4694 )
* [legacy] remove outdated colo tensor
* [test] fix test import
* [legacy] move outdated zero to legacy (#4696 )
* [legacy] clean up utils (#4700 )
* [legacy] clean up utils
* [example] update examples
* [legacy] clean up amp
* [legacy] fix amp module
* [legacy] clean up gpc (#4742 )
* [legacy] clean up context
* [legacy] clean core, constants and global vars
* [legacy] refactor initialize
* [example] fix examples ci
* [example] fix examples ci
* [legacy] fix tests
* [example] fix gpt example
* [example] fix examples ci
* [devops] fix ci installation
* [example] fix examples ci
2023-09-18 16:31:06 +08:00
0bb0b481b4
[gemini] fix argument naming during chunk configuration searching
2023-06-25 13:34:15 +08:00
e61ffc77c6
fix typo tests/ ( #3936 )
2023-06-09 09:49:41 +08:00
80eba05b0a
[test] refactor tests with spawn ( #3452 )
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* [test] added spawn decorator
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
2023-04-06 14:51:35 +08:00
ffcdbf0f65
[autoparallel]integrate auto parallel feature with new tracer ( #3408 )
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* [autoparallel] integrate new analyzer in module level
* unify the profiling method
* polish
* fix no codegen bug
* fix pass bug
* fix liveness test
* polish
2023-04-04 17:40:45 +08:00
26b7aac0be
[zero] reorganize zero/gemini folder structure ( #3424 )
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* [zero] refactor low-level zero folder structure
* [zero] fix legacy zero import path
* [zero] fix legacy zero import path
* [zero] remove useless import
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor legacy zero import path
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor legacy zero import path
* [zero] fix test import path
* [zero] fix test
* [zero] fix circular import
* [zero] update import
2023-04-04 13:48:16 +08:00
638a07a7f9
[test] fixed gemini plugin test ( #3411 )
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* [test] fixed gemini plugin test
* polish code
* polish code
2023-04-03 17:12:22 +08:00
fee2af8610
[autoparallel] adapt autoparallel with new analyzer ( #3261 )
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* [autoparallel] adapt autoparallel with new analyzer
* fix all node handler tests
* polish
* polish
2023-03-30 17:47:24 +08:00
18dbe76cae
[auto-parallel] add auto-offload feature ( #3154 )
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* add auto-offload feature
* polish code
* fix syn offload runtime pass bug
* add offload example
* fix offload testing bug
* fix example testing bug
2023-03-21 14:17:41 +08:00
4269196c79
[hotfix] skip auto checkpointing tests ( #3029 )
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* [hotfix] skip auto checkpointing tests
* fix test name issue
2023-03-07 15:50:00 +08:00
197d0bf4ed
[autoparallel] apply repeat block to reduce solving time ( #2912 )
2023-02-28 11:03:30 +08:00
819e25d8b1
[hotfix] fix autoparallel compatibility test issues ( #2754 )
2023-02-23 17:28:36 +08:00
0f392d7403
[autoparallel] find repeat blocks ( #2854 )
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* [autoparallel] find repeat blocks
* polish
* polish
* polish
2023-02-23 17:28:19 +08:00
c7764d3f22
[autoparallel] Patch meta information of `torch.where` ( #2822 )
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* [autoparallel] patch meta information of torch.where
* [autoparallel] pre-commit modified
2023-02-22 10:28:21 +08:00
fcc4097efa
[autoparallel] Patch meta information of `torch.tanh()` and `torch.nn.Dropout` ( #2773 )
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* [autoparallel] tanh meta information
* [autoparallel] remove redundant code
* [autoparallel] patch meta information of torch.nn.Dropout
2023-02-22 10:27:59 +08:00
7ea6bc7f69
[autoparallel] Patch tensor related operations meta information ( #2789 )
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* [autoparallel] tensor related meta information prototype
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
* [autoparallel] tensor related meta information
2023-02-20 17:38:55 +08:00
a2b43e393d
[autoparallel] Patch meta information of `torch.nn.Embedding` ( #2760 )
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* [autoparallel] embedding metainfo
* [autoparallel] fix function name in test_activation_metainfo
* [autoparallel] undo changes in activation metainfo and related tests
2023-02-17 10:39:48 +08:00
1dc003c169
[autoparallel] distinguish different parallel strategies ( #2699 )
2023-02-15 22:28:28 +08:00
21d6a48f4d
[autoparallel] add shard option ( #2696 )
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* [autoparallel] add shard option
* polish
2023-02-15 13:48:28 +08:00
cb2c6a2415
[autoparallel] refactor runtime pass ( #2644 )
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* [autoparallel] refactor runtime pass
* add unit test
* polish
2023-02-15 10:36:19 +08:00
0b2a738393
[autoparallel] remove deprecated codes ( #2664 )
2023-02-15 09:54:32 +08:00
7fa6be49d2
[autoparallel] test compatibility for gemini and auto parallel ( #2700 )
2023-02-15 09:43:29 +08:00
40c916b192
[autoparallel] Patch meta information of `torch.nn.functional.softmax` and `torch.nn.Softmax` ( #2674 )
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* [autoparallel] softmax metainfo
* [autoparallel] softmax metainfo
2023-02-13 16:09:22 +08:00
0385b26ebf
[autoparallel] Patch meta information of `torch.nn.LayerNorm` ( #2647 )
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* [autoparallel] layernorm metainfo patch
* [autoparallel] polish test
2023-02-10 14:29:24 +08:00
37df666f38
[autoparallel] refactor handlers which reshape input tensors ( #2615 )
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* [autoparallel] refactor handlers which reshape input tensors
* polish
2023-02-08 15:02:49 +08:00
cb3d1bef62
[autoparallel] adapt autoparallel tests with latest api ( #2626 )
2023-02-08 15:02:12 +08:00
90a9fdd91d
[autoparallel] Patch meta information of `torch.matmul` ( #2584 )
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* [autoparallel] matmul metainfo
* [auto_parallel] remove unused print
* [tests] skip test_matmul_handler when torch version is lower than 1.12.0
2023-02-08 11:05:31 +08:00
67e1912b59
[autoparallel] support origin activation ckpt on autoprallel system ( #2468 )
2023-01-16 16:25:13 +08:00
8221fd7485
[autoparallel] update binary elementwise handler ( #2451 )
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* [autoparallel] update binary elementwise handler
* polish
2023-01-12 09:35:10 +08:00
41429b9b28
[autoparallel] add shard option ( #2423 )
2023-01-11 13:40:33 +08:00
fb87322773
[autoparallel] fix spelling error ( #2270 )
2023-01-03 16:13:00 +08:00
8897b8f753
[autoparallel] autoparallel initialize ( #2238 )
2022-12-31 01:02:14 +08:00
3b1b91eaf4
[autoparallel] record parameter attribute in colotracer ( #2217 )
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* [autoparallel] record parameter attribute in collotracer
* [autoparallel] fix construct_meta_info bug
2022-12-28 19:29:08 +08:00
24246f7aa5
[autoparallel] Attach input, buffer and output tensor to MetaInfo class ( #2162 )
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* [fx] metainfo class for auto parallel
* [fx] add unit test for linear metainfo
* [fx] fix bwd param for linear
* [fx] modify unit test
* [fx] modify unit test
* [fx] modify import
* [fx] modify import
* [fx] modify import
* [fx] move meta profiler to auto parallel
* [fx] add conv metainfo class
* [fx] restore profiler
* [fx] restore meta profiler
* [autoparallel] modify unit test
* [fx] modify unit test
* [autoparallel] add batchnorm metainfo class
* [autoparallel] fix batchnorm unit test function declaration
* [fx] restore profiler
* [fx] add relu metainfo class
* [fx] restore profiler
* [autoparallel] modify metainfo input
* [autoparallel] add pooling metainfo
* [autoparallel] add F.linear metainfo generator
* [autoparallel] add binary elementwise metainfo
* [fx] recover profiler
* [autoparallel] fix forward memory calculation
* [autoparallel] modify constants.py
* [autoparallel] remove redundant print
* [autoparallel] add F.conv metainfo
* [autoparallel] linear fix
* [autoparallel] memory estimation for communication actions
* [autoparallel] fix docstring
* [autoparallel] fix variables name
* [autoparallel] attach tensor to metainfo class
* [autoparallel] fix dangerous try except
* [autoparallel] attach memory cost to shape consistency node
* [autoparallel] attach shape consistency node's metainfo to the node
* [autoparallel] remove todo in shape consistency memory estimation
* [autoparallel] fix the annotation
2022-12-28 13:37:40 +08:00
78509124d3
[autoparallel] update getitem handler ( #2207 )
2022-12-27 19:58:32 +08:00
4851f2d607
[autoparallel] update_getattr_handler ( #2193 )
2022-12-26 21:57:39 +08:00
f10ce01e31
[autoparallel] add gpt2 performance test code ( #2194 )
2022-12-26 21:56:58 +08:00
550f8f8905
[autoparallel] integrate_gpt_related_tests ( #2134 )
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* [autoparallel] integrate_gpt_related_tests
* polish code
* polish code
* add GPT2Model into runtime test
2022-12-23 12:36:59 +08:00
16335cb537
[hotfix] fix aten default bug ( #2158 )
2022-12-20 22:40:46 +08:00
536560ccc0
[autoparallel] implement softmax handler ( #2132 )
2022-12-14 16:09:53 +08:00
cd0af9f7f6
[autoparallel] gpt2lp runtimee test ( #2113 )
2022-12-12 18:06:40 +08:00
d87baa85d9
[autoparallel] support linear function bias addition ( #2104 )
2022-12-09 10:31:36 +08:00
0fecbb9e20
[autoparallel] support addbmm computation ( #2102 )
2022-12-08 21:15:11 +08:00
d3d4630495
[autoparallel] add sum handler ( #2101 )
2022-12-08 17:02:54 +08:00
b175e6d58e
[autoparallel] add bias addtion function class ( #2098 )
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* [autoparallel] add bias addtion function class
* polish code
* polish
2022-12-08 11:31:51 +08:00
3af7e65dea
[autoparallel] complete gpt related module search ( #2097 )
2022-12-08 10:04:09 +08:00
7f72eb0510
[autoparallel]add embedding handler ( #2089 )
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* [autoparallel] add embedding handler
* fix bugs
2022-12-07 09:41:46 +08:00
0e9db368ef
[autoparallel] add tensor constructor handler ( #2082 )
2022-12-06 10:20:10 +08:00
linsj20