[LLM] Add nightly igpu perf test for INT4+FP16 1024-128 (#10496)
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Yuwen Hu
GitHub
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91
.github/workflows/llm_performance_tests.yml
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91
.github/workflows/llm_performance_tests.yml
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@ -772,6 +772,97 @@ jobs:
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call conda deactivate
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call conda deactivate
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- name: Prepare igpu perf test (int4+fp16 1024-128)
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shell: bash
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run: |
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sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
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sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml
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- name: Test on igpu (int4+fp16 1024-128)
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shell: cmd
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run: |
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call conda activate igpu-perf
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pip install transformers==4.31.0
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call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
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set SYCL_CACHE_PERSISTENT=1
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set BIGDL_LLM_XMX_DISABLED=1
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REM for llava
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set TRANSFORMERS_OFFLINE=1
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cd python\llm\dev\benchmark\all-in-one
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move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16.yaml config.yaml
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set PYTHONIOENCODING=utf-8
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python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
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if %ERRORLEVEL% neq 0 (exit /b 1)
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call conda deactivate
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- name: Prepare igpu perf test for Mistral (int4+fp16 1024-128)
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shell: bash
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run: |
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sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
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sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_434.yaml
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- name: Test on igpu for Mistral (int4+fp16 1024-128)
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shell: cmd
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run: |
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call conda activate igpu-perf
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pip install transformers==4.34.0
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call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
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set SYCL_CACHE_PERSISTENT=1
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set BIGDL_LLM_XMX_DISABLED=1
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cd python\llm\dev\benchmark\all-in-one
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move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_434.yaml config.yaml
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set PYTHONIOENCODING=utf-8
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python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
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if %ERRORLEVEL% neq 0 (exit /b 1)
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call conda deactivate
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- name: Prepare igpu perf test for Qwen 1.5 (int4+fp16 1024-128)
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shell: bash
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run: |
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sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
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sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_437.yaml
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- name: Test on igpu for Qwen 1.5 (int4+fp16 1024-128)
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shell: cmd
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run: |
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call conda activate igpu-perf
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pip install transformers==4.37.0
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call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
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set SYCL_CACHE_PERSISTENT=1
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set BIGDL_LLM_XMX_DISABLED=1
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cd python\llm\dev\benchmark\all-in-one
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move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_437.yaml config.yaml
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set PYTHONIOENCODING=utf-8
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python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
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if %ERRORLEVEL% neq 0 (exit /b 1)
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call conda deactivate
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- name: Concat csv and generate html (int4+fp16 1024-128)
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shell: cmd
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run: |
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call conda activate html-gen
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cd python\llm\dev\benchmark\all-in-one
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python ..\..\..\test\benchmark\concat_csv.py
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if %ERRORLEVEL% neq 0 (exit /b 1)
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del /q *test*.csv
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move *.csv %CSV_SAVE_PATH%\1024-128_int4_fp16\
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cd ..\..\..\test\benchmark
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python csv_to_html.py -f %CSV_SAVE_PATH%\1024-128_int4_fp16\
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if %ERRORLEVEL% neq 0 (exit /b 1)
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move %CSV_SAVE_PATH%\1024-128_int4_fp16\*.html %CSV_SAVE_PATH%
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call conda deactivate
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- name: Upload results to ftp
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- name: Upload results to ftp
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if: ${{ always() }}
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if: ${{ always() }}
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shell: cmd
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shell: cmd
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29
python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml
Normal file
29
python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml
Normal file
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@ -0,0 +1,29 @@
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repo_id:
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- 'THUDM/chatglm2-6b'
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- 'THUDM/chatglm3-6b'
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- 'baichuan-inc/Baichuan2-7B-Chat'
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- 'baichuan-inc/Baichuan2-13B-Chat'
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- 'internlm/internlm-chat-7b-8k'
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- 'Qwen/Qwen-7B-Chat'
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- 'BAAI/AquilaChat2-7B'
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- '01-ai/Yi-6B'
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- 'meta-llama/Llama-2-7b-chat-hf'
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- 'meta-llama/Llama-2-13b-chat-hf'
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- 'WisdomShell/CodeShell-7B-Chat'
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- 'tiiuae/falcon-7b-instruct-with-patch'
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- 'mosaicml/mpt-7b-chat'
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- 'liuhaotian/llava-v1.5-7b'
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# - 'RWKV/rwkv-4-world-7b'
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# - 'RWKV/rwkv-5-world-7b'
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- 'IEITYuan/Yuan2-2B-hf'
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local_model_hub: 'path to your local model hub'
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warm_up: 1
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num_trials: 3
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num_beams: 1 # default to greedy search
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low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
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batch_size: 1 # default to 1
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in_out_pairs:
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- '1024-128'
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test_api:
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- "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
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cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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@ -0,0 +1,13 @@
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repo_id:
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- 'mistralai/Mistral-7B-Instruct-v0.1'
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local_model_hub: 'path to your local model hub'
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warm_up: 1
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num_trials: 3
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num_beams: 1 # default to greedy search
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low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
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batch_size: 1 # default to 1
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in_out_pairs:
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- '1024-128'
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test_api:
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- "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
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cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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@ -0,0 +1,13 @@
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repo_id:
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- 'Qwen/Qwen1.5-7B-Chat'
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local_model_hub: 'path to your local model hub'
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warm_up: 1
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num_trials: 3
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num_beams: 1 # default to greedy search
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low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
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batch_size: 1 # default to 1
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in_out_pairs:
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- '1024-128'
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test_api:
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- "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
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cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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