GitLab

* update examples and engine

* fix choices

* update example

* [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>

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

* [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

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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>

* 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

* 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

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

* [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)