GitLab

* move tokenizer

* remove Tokenizer in init

* update deploy.py

* better profiler

* wait for releasing mem

* remove fire

* remove support for multiple model benchmark

* comments

* output more details

* correct tp

* tmp

* update

* update

* update

* update

* update

* remove

* update

* update

* works on interlm and vicuna

* support GQA

* remove comment

* update readme, add logger, default tp=1

* remove log

* refactor model.py and support baichuan-7b

* remove model_name

* remove hard session_len

* export tokenizer.py to target dir

* remove model_name from client

* remove model_name

* update

* correct throughput equation

* fix session.response

* update serving.md

* update readme

* update according to review comments

* update

* update

* update

* update

* add profile throughput benchmark

* add output only throughput

* update req/min

* update benckmark readme

* fix lint

---------
Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* wip

* profile disable tp

* fix profile

* lint

* fix dlpack

* remove comment

* add tp flag

* add session len check

* add eos

* remove tp and session len inputs

* warp tokenizer

* multithread load weight

* update profile

* refactor tokenizer

* remove pre/post process

* remove mpi4py requirement

* remove

* remove bind

* remove mpi requirement

* check backend_tokenizer

* streaming-output

* fix end

* fix profile

* support chinese streaming

* lint

* update chat

* lint

* fix benchmark

---------
Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* add cal qparams

* support offload inference

* add collect funtions (mod,weight)

* stats kv scales

* update init

* add user guide

* fix hints

* fix comments & support turbomind format

* update user guide

* fix slice kv cache error & support pileval dataset (used in llm-awq)

* fix wrong num heads slice

* update default dataset

* fix conflict

* fix hints

* fix hints

* add gitignore

* wip

* wip

* example finish

* fix include and namespace

* wtf

* install lib

* batchize

* update cmake install

* multithread

* fix comment

* fix

* add mmengine

* bind llamamodel

---------
Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* rename lmdeploy/serve/fastertransformer to lmdeploy/serve/turbomind

* update

* update

* change llmdeploy to lmdeploy

* update logo

* update readme

* remove constraints on model name

* remove duplicate model converter

* add profile

* get eos and bos from server

* update stop_words

* update sequence_length when the last generated token is eos_id

* fix

* fix

* check-in models

* valicate model_name

* make stop_words as property

* debug profiling

* better stats

* fix assistant reponse

* update profile serving

* update

* update