ipex-llm/python/llm/test/benchmark/arc-perf-test-batch2.yaml
Wenjing Margaret Mao 231b968aba
Modify the check_results.py to support batch 2&4 (#11133)
* 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>
2024-06-05 15:04:55 +08:00

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YAML

repo_id:
- 'meta-llama/Llama-2-7b-chat-hf'
- 'meta-llama/Llama-2-13b-chat-hf'
- 'THUDM/chatglm2-6b'
- 'THUDM/chatglm3-6b-4bit'
- 'tiiuae/falcon-7b-instruct-with-patch'
- 'mosaicml/mpt-7b-chat'
- 'redpajama/gptneox-7b-redpajama-bf16'
- 'bigcode/starcoder-15.5b-4bit'
- 'databricks/dolly-v1-6b'
- 'databricks/dolly-v2-7b'
- 'databricks/dolly-v2-12b'
- 'internlm/internlm-chat-7b'
- 'Qwen/Qwen-7B-Chat'
- 'BAAI/AquilaChat-7B'
- 'baichuan-inc/Baichuan2-7B-Chat'
- 'baichuan-inc/Baichuan2-13B-Chat-4bit'
- 'bigscience/bloomz-7b1'
# - 'fnlp/moss-moon-003-sft-4bit' # moss-moon-003-sft cannot work on transformers 4.34+
- 'mistralai/Mistral-7B-v0.1'
local_model_hub: '/mnt/disk1/models'
warm_up: 1
num_trials: 3
num_beams: 1 # default to greedy search
low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
batch_size: 2 # default to 1
in_out_pairs:
- '32-32'
- '1024-128'
- '2048-256'
test_api:
- "transformer_int4_gpu" # on Intel GPU
cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
exclude:
- 'bigcode/starcoder-15.5b-4bit:2048'
- 'databricks/dolly-v2-12b:2048'
- 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
- 'bigscience/bloomz-7b1:2048'