GitLab

* update moe module
* support openmoe

* 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

[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>

* [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 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>

* 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

* [test] add custom models in model zoo

* [test] update legacy test

* [test] update model zoo

* [test] update gemini test

* [test] remove components to test

* 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>

Co-authored-by: github-actions <github-actions@github.com>

* [hotfix] fix launch

* [test] fix test gemini optim

* [shardformer] fix vit

* 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

* [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

* [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

* add llama2 support

* fix multi group bug

* Add clip_grad_norm for hibrid_parallel_plugin

* polish code

* add unittests

* Move tp to a higher-level optimizer interface.

* bug fix

* polish code

* [gemini] support no reuse fp16 chunk

* [gemini] support no master weight for optim

* [gemini] support no master weight for gemini ddp

* [test] update gemini tests

* [test] update gemini tests

* [plugin] update gemini plugin

* [test] fix gemini checkpointio test

* [test] fix gemini checkpoint io

* [pipeline inference] pipeline inference (#4492)

* add pp stage manager as circle stage

* fix a bug when create process group

* add ppinfer basic framework

* add micro batch manager and support kvcache-pp gpt2 fwd

* add generate schedule

* use mb size to control mb number

* support generate with kv cache

* add output, remove unused code

* add test

* reuse shardformer to build model

* refactor some code and use the same attribute name of hf

* fix review and add test for generation

* remove unused file

* fix CI

* add cache clear

* fix code error

* fix typo

* [Pipeline inference] Modify to tieweight (#4599)

* add pp stage manager as circle stage

* fix a bug when create process group

* add ppinfer basic framework

* add micro batch manager and support kvcache-pp gpt2 fwd

* add generate schedule

* use mb size to control mb number

* support generate with kv cache

* add output, remove unused code

* add test

* reuse shardformer to build model

* refactor some code and use the same attribute name of hf

* fix review and add test for generation

* remove unused file

* modify the way of saving newtokens

* modify to tieweight

* modify test

* remove unused file

* solve review

* add docstring

* [Pipeline inference] support llama pipeline inference (#4647)

* support llama pipeline inference

* remove tie weight operation

* [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708)

* add benchmark verbose

* fix export tokens

* fix benchmark verbose

* add P2POp style to do p2p communication

* modify schedule as p2p type when ppsize is 2

* remove unused code and add docstring

* [Pipeline inference] Refactor code, add docsting, fix bug (#4790)

* add benchmark script

* update argparse

* fix fp16 load

* refactor code style

* add docstring

* polish code

* fix test bug

* [Pipeline inference] Add pipeline inference docs (#4817)

* add readme doc

* add a ico

* Add performance

* update table of contents

* refactor code (#4873)

* fix test bug

* delete useless code

* fix typo

* fix import bug and release useless init

* fix

* fix

* fix

* [lazy] patch from pretrained

* [lazy] fix from pretrained and add tests

* [devops] update ci

* support unsharded saving/loading for model

* support optimizer unsharded saving

* update doc

* support unsharded loading for optimizer

* small fix

* 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

* [gptq] add gptq kernel (#4416)

* add gptq

* refactor code

* fix tests

* replace auto-gptq

* rname inferance/quant

* refactor test

* add auto-gptq as an option

* reset requirements

* change assert and check auto-gptq

* add import warnings

* change test flash attn version

* remove example

* change requirements of flash_attn

* modify tests

* [skip ci] change requirements-test

* [gptq] faster gptq cuda kernel (#4494)

* [skip ci] add cuda kernels

* add license

* [skip ci] fix max_input_len

* format files & change test size

* [skip ci]

* [gptq] add gptq tensor parallel (#4538)

* add gptq tensor parallel

* add gptq tp

* delete print

* add test gptq check

* add test auto gptq check

* [gptq] combine gptq and kv cache manager (#4706)

* combine gptq and kv cache manager

* add init bits

* delete useless code

* add model path

* delete usless print and update test

* delete usless import

* move option gptq to shard config

* change replace linear to shardformer

* update bloom policy

* delete useless code

* fix import bug and delete uselss code

* change colossalai/gptq to colossalai/quant/gptq

* update import linear for tests

* delete useless code and mv gptq_kernel to kernel directory

* fix triton kernel

* add triton import

* [lazy] support _like methods and clamp

* [lazy] pass transformers models

* [lazy] fix device move and requires grad

* [lazy] fix requires grad and refactor api

* [lazy] fix requires grad

* fix master param sync for hybrid plugin

* rewrite unwrap for ddp/fsdp

* rewrite unwrap for zero/gemini

* rewrite unwrap for hybrid plugin

* fix geemini unwrap

* fix bugs

* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format

* [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

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

[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 17cfa5714083a81a505c097f1c411cd28162d922.

* [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>

* [shardformer]fix gpt2 test

[shardformer]fix gpt2 test

[shardformer]fix gpt2 test

* fix

* [shardformer] add todo

* [shardformer] add todo

* [legacy] move communication to legacy (#4640)

* [legacy] refactor logger and clean up legacy codes (#4654)

* [legacy] make logger independent to gpc

* [legacy] make optim independent to registry

* [legacy] move test engine to legacy

* [legacy] move nn to legacy (#4656)

* [legacy] move nn to legacy

* [checkpointio] fix save hf config

* [test] remove useledd rpc pp test

* [legacy] fix nn init

* [example] skip tutorial hybriad parallel example

* [devops] test doc check

* [devops] test doc check

* [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

* set optimizer to optional in execute_pipeline

* arrange device and mixed precision in booster init

* fix execute_pipeline in booster.py