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* [doc] add moe news

* [doc] add moe news

* [doc] add moe news

* [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>
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* add safetybench and cvalues(responsibility) eval dataset

* Modify code according to review suggestions

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Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>

* 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>

* llama 3d

* update

* fix autocast

* fix flash attn

* fix

fix

* hotfix/Fix get model policy strategy in ShardFormer

* fix bug in auto policy

[gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range (#5085)

* [setup] refactor infer setup

* [hotfix] fix infenrece behavior on 1 1 gpu

* [exmaple] refactor inference examples

* fix init model with random parameters

* fix example

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* update examples and engine

* fix choices

* update example

* [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

* added flash-decoidng of triton based on lightllm kernel

* add req

* clean

* clean

* delete build.sh

---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>

* [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>

fix llama example

* feat: modify create_ep_hierarchical_group args

* test: add ep tests

* fix: remove get_process_group_ranks

* fix: fix src_rank

* fix-llama

* Update llama.py

* support ddp

* fix

* fix

* fix

fix

* support ddp

* fix

* fix

* fix

fix

* simplify tests

* fix

* fix

* fix

fix

fix

* fix

[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

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Co-authored-by: flybird11111 <1829166702@qq.com>

* 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>

* [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

* [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)
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* [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)
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* [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

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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

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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 fbf3c09e673794ed18c91d4bab1a7dfea052e95a.

* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* Revert "[inference] Async dynamic batching  (#4894)" (#4909)

This reverts commit fced14025043e29ce816b315f440601188f7f79f.

* 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 fced14025043e29ce816b315f440601188f7f79f.

* 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 479900c1398637310abf92eefa3cd168038ea02f.

* [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>
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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>
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Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>

* Fix serialization error with Tensor Parallel state saving

* Refactor state_dict CPU transfer using tree_map

* 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