* remove include and language option, select the corresponding dataset based on the model name in Run
* change the nightly test time
* change the nightly test time of harness and ppl
* Add is_last parameter and fix logical operator in highlight_vals
* Add script to update HTML files in parent folder
* Add running update_html_in_parent_folder.py in summarize step
* Add licence info
* Remove update_html_in_parent_folder.py in Summarize the results for pull request
* Modify table head in harness
* Specify the file path of fp16.csv
* change run to run nightly and run pr to debug
* Modify the way to get fp16.csv to downloading from github
* Change the method to calculate diff in html table
* Change the method to calculate diff in html table
* Re-arrange job order
* Re-arrange job order
* Change limit
* Change fp16.csv path
* Change highlight rules
* Change limit
* add llm-ppl workflow
* update the DATASET_DIR
* test multiple precisions
* modify nightly test
* match the updated ppl code
* add matrix.include
* fix the include error
* update the include
* add more model
* update the precision of include
* update nightly time and add more models
* fix the workflow_dispatch description, change default model of pr and modify the env
* modify workflow_dispatch language options
* modify options
* modify language options
* modeify workflow_dispatch type
* modify type
* modify the type of language
* change seq_len type
* fix some typos
* revert changes to stress_test.txt
* chnage storage
* fix typo
* change label
* change label to arc03
* change needs in the last step
* add generate csv in harness/make_table_results.py
* modify needs in the last job
* add csv to html
* mfix path issue in llm-harness-summary-nightly
* modify output_path
* modify args in make_table_results.py
* modify make table command in summary
* change pr env label
* remove irrelevant code in summary; add set output path step; add limit in harness run
* re-organize code structure
* modify limit in run harness
* modify csv_to_html input path
* modify needs in summary-nightly
* add llm-ppl workflow
* update the DATASET_DIR
* test multiple precisions
* modify nightly test
* match the updated ppl code
* add matrix.include
* fix the include error
* update the include
* add more model
* update the precision of include
* update nightly time and add more models
* fix the workflow_dispatch description, change default model of pr and modify the env
* modify workflow_dispatch language options
* modify options
* modify language options
* modeify workflow_dispatch type
* modify type
* modify the type of language
* change seq_len type
* add llm-ppl workflow
* update the DATASET_DIR
* test multiple precisions
* modify nightly test
* match the updated ppl code
* add matrix.include
* fix the include error
* update the include
* add more model
* update the precision of include
* update nightly time and add more models
* fix the workflow_dispatch description, change default model of pr and modify the env
* modify workflow_dispatch language options
* modify options
* modify language options
* add llm-ppl workflow
* update the DATASET_DIR
* test multiple precisions
* modify nightly test
* match the updated ppl code
* add matrix.include
* fix the include error
* update the include
* add more model
* update the precision of include
* update nightly time and add more models
* fix the workflow_dispatch description, change default model of pr and modify the env
* 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
