* copy files to this branch
* add tasks
* comment one model
* change the model to test the 4.36
* only test batch-4
* typo
* typo
* typo
* typo
* typo
* typo
* add 4.37-batch4
* change the file name
* revet yaml file
* no print
* add batch4 task
* revert
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* add config and default value
* add config in taml
* remove lookahead and max_matching_ngram_size in config
* remove streaming and use_fp16_torch_dtype in test yaml
* update task in readme
* update commit of task
* change api
* move to pr mode and remove the build
* add batch4 yaml and remove the bigcode
* remove batch4
* revert the starcode
* remove the exclude
* revert
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* add update_parent_folder and change the workflow file
* add update_parent_folder and change the workflow file
* move to pr mode and comment the test
* use one model per comfig
* revert
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* add batch 2&4 and exclude to perf_test
* modify the perf-test&437 yaml
* modify llm_performance_test.yml
* remove batch 4
* modify check_results.py to support batch 2&4
* change the batch_size format
* remove genxir
* add str(batch_size)
* change actual_test_casese in check_results file to support batch_size
* change html highlight
* less models to test html and html_path
* delete the moe model
* split batch html
* split
* use installing from pypi
* use installing from pypi - batch2
* revert cpp
* revert cpp
* merge two jobs into one, test batch_size in one job
* merge two jobs into one, test batch_size in one job
* change file directory in workflow
* try catch deal with odd file without batch_size
* modify pandas version
* change the dir
* organize the code
* organize the code
* remove Qwen-MOE
* modify based on feedback
* modify based on feedback
* modify based on second round of feedback
* modify based on second round of feedback + change run-arc.sh mode
* modify based on second round of feedback + revert config
* modify based on second round of feedback + revert config
* modify based on second round of feedback + remove comments
* modify based on second round of feedback + remove comments
* modify based on second round of feedback + revert arc-perf-test
* modify based on third round of feedback
* change error type
* change error type
* modify check_results.html
* split batch into two folders
* add all models
* move csv_name
* revert pr test
* revert pr test
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* Add llama3 and phi2 nightly test
* Change llama3-8b to llama3-8b-instruct
* Add phi3 to nightly test
* Add phi3 to nightly test
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* 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
* save the ppl result to json file
* generate csv file and print table result
* generate html
* modify the way to get parent folder
* update html in parent folder
* add llm-ppl-summary and llm-ppl-summary-html
* modify echo single result
* remove download fp16.csv
* change model name of PR
* move ppl nightly related files to llm/test folder
* reformat
* seperate make_table from make_table_and_csv.py
* separate make_csv from make_table_and_csv.py
* update llm-ppl-html
* remove comment
* add Download fp16.results
