* 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>
* Add LangChain upstream ut test for ipynb
* Integrate unit test for LangChain upstream ut and ipynb into one file
* Modify file name
* Remove LangChain version update in unit test
* Move Langchain upstream ut job to arc
* Modify path in .yml file
* Modify path in llm_unit_tests.yml
* Avoid create directory repeatedly
* add test_llamaindex of gpu
* add llamaindex gpu tests bash
* add llamaindex cpu tests bash
* update name of Run LLM langchain GPU test
* import llama_index in llamaindex gpu ut
* update the dependency of test_llamaindex
* add Run LLM llamaindex GPU test
* modify import dependency of llamaindex cpu test
* add Run LLM llamaindex test
* update llama_model_path
* delete unused model path
* add LLAMA2_7B_ORIGIN_PATH in llamaindex cpu test
* first draft
* fix
* add readme for transformer_int4_gpu
* fix doc
* check device_map
* add arc ut test
* fix ut test
* fix langchain ut
* Refine README
* fix gpu mem too high
* fix ut test
---------
Co-authored-by: Ariadne <wyn2000330@126.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
* 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>
* 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
* Add uts for transformers api load_low_bit generation
* Small fixes
* Remove replit-code for CPU tests due to current load_low_bit issue on MPT
* Small change
* Small reorganization to llm unit tests on CPU
* Small fixes
* separate test_optimize_model api with disabled xmx
* delete test_optimize_model in test_transformers_api.py
* set env variable in .sh/ put back test_optimize_model
* unset env variable
* remove env setting in .py
* address errors in action
* remove import ipex
* lower tolerance
* 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
