GitLab

* simplify the header of the benchmark table

* miss comma

* fix lint

* update test scripts for models with different sizes

* update

* only test after tunning gemm

* chmod +x

* fix typo

* benchmark on a100

* fix typo

* fix typo

* per-token latency percentile in profile_throughput

* fix

* fix

* rename

* make the script accept parameters

* minor fix

* indent

* reformat table

* change to 3000

* minor fix

* update profile scripts

* add top_p, top_k and temperature as input arguments

* fix input_ids

* update profile_throughput

* update profile_restful_api

* update profile_serving

* update

* update

* add progress bar

* remove TODO comments

* update

* remove useless profile_* argument

* remove log level

* change concurrency default value to 64

* update restful_api.md

* update according to review comments

* fix docstring

* fix benchmark serving computation mistake

* fix timestamps computations

* remove speed up

* no mp

* mp seems faster?

* remove

* update

* remove

* fix

* update

* update print log

* typo

* print fist token latency only stream==True

* remove renew_session

* update AsyncEngine

* move tokenizer

* remove Tokenizer in init

* update deploy.py

* fix benchmark serving cannot use Qwen tokenizer

* update benchmark readme

* read data after start processes

* fix hang

* fix exceptions when request_output_len is 0

* add restful api

* refine

* add simple doc

* lint

* add uvicorn requirement

* more args

* add llama2

* docstring

* update doc

* save

* refine

* lint

* better decode

* add v1/embedding

* add GenerateRequest

* add llama2 chat template

* correct profiling

* update documents

* add length judge

* add faq

* update doc and rename req_que to req_queue

* fix md link, use get_logger, fix sequence_end bug

* use another doc link for go to avoid lint error

* add api_client.py

* update doc

* update doc

* update function interface

* update FAQ

* resolve comments

* change to incremental decoding

* update

* 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

* 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