* add batch_size in stable version test
* add batch_size in excludes
* add excludes for batch_size
* fix ci
* triger regression test
* fix xpu version
* disable ci
* address kai's comment
---------
Co-authored-by: Ariadne <wyn2000330@126.com>
* add new models and change schedule to nightly
* correct syntax error
* modify env set up and job
* change label and schedule time
* change schedule time
* change label
* ensure the result of daily arc perf test
* small fix
* small fix
* small fix
* small fix
* small fix
* small fix
* small fix
* small fix
* small fix
* small fix
* concat more csvs
* small fix
* revert some files
* Change to install from pypi and have a check to make sure the installed bigdl-llm version is as expected
* Make sure result date is the same as tested bigdl-llm version
* Small fixes
* Small fix
* Small fixes
* Small fix
* Small fixes
* Small updates
* Update default xpu to ipex 2.1
* Update related install ut support correspondingly
* Add arc ut tests for both ipex 2.0 and 2.1
* Small fix
* Diable ipex 2.1 test for now as oneapi 2024.0 has not beed installed on the test machine
* Update document for default PyTorch 2.1
* Small fix
* Small fix
* Small doc fixes
* Small fixes
* test support bitsandbytesconfig
* update style
* update cpu example
* update example
* update readme
* update unit test
* use bfloat16
* update logic
* use int4
* set defalut bnb_4bit_use_double_quant
* update
* update example
* update model.py
* update
* support lora example
* add arc stable version regression test
* empty gpu mem between different models
* triger ci
* comment spr test
* triger ci
* address kai's comments and disable ci
* merge fp8 and int4
* disable ci
* Move 1024 test just after 32-32 test; and enable all model for 1024-128
* Make sure python output encoding in utf-8 so that redirect to txt can always be success
* Upload results to ftp
* Small fix
* Add test for 1024-128 and enable more tests for 512-64
* Fix date in results csv name to the time when the performance is triggered
* Small fix
* Small fix
* further fixes
* LLM: check csv and its corresponding yaml file
* run PR arc perf test
* modify the name of some variables
* execute the check results script in right place
* use cp to replace mv command
* resolve some comments
* resolve more comments
* revert the llm_performance_test.yaml file
* Change igpu win tests for ipex 2.1 and oneapi 2024.0
* Qwen model repo id updates; updates model list for 512-64
* Add .eval for win igpu all-in-one benchmark for best performance
* trigger pr temparorily
* Saparate benchmark run for win igpu based in in-out pairs
* Rename fix
* Test workflow
* Small fix
* Skip generation of html for now
* Change back to nightly triggered
* update bigdl_llm.py
* update the installation of harness
* fix partial function
* import ipex
* force seq len in decrease order
* put func outside class
* move comments
* default 'trust_remote_code' as True
* Update llm-harness-evaluation.yml
* Temp enable PR
* Enable tests for 256-64
* Try again 128-64
* Empty cache after each iteration for igpu benchmark scripts
* Try tests for 512
* change order for 512
* Skip chatglm3 and llama2 for now
* Separate tests for 512-64
* Small fix
* Further fixes
* Change back to nightly again
