887 lines
35 KiB
YAML
887 lines
35 KiB
YAML
name: LLM Performance Test
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# Cancel previous runs in the PR when you push new commits
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concurrency:
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group: ${{ github.workflow }}-llm-performance-tests-${{ github.event.pull_request.number || github.run_id }}
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cancel-in-progress: true
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permissions:
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contents: read
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# Controls when the action will run.
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on:
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schedule:
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- cron: "30 16 * * *" # GMT time, 16:30 GMT == 00:30 China
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# please uncomment it for PR tests
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# pull_request:
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# branches: [main]
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# paths:
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# - ".github/workflows/llm_performance_tests.yml"
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# - "python/llm/test/benchmark/**"
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# - "python/llm/dev/benchmark/all-in-one/**"
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workflow_dispatch:
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workflow_call:
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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# llm-cpp-build: # please uncomment it for PR tests
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# uses: ./.github/workflows/llm-binary-build.yml
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llm-performance-test-on-arc:
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if: ${{ github.event.schedule || github.event_name == 'workflow_dispatch' || github.event.inputs.artifact == 'llm-performance-test-on-arc' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
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# needs: llm-cpp-build # please uncomment it for PR tests
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.11"]
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runs-on: [self-hosted, llm, perf]
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env:
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OMP_NUM_THREADS: 16
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THREAD_NUM: 16
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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CSV_SAVE_PATH: ${{ (github.event.schedule || github.event_name == 'workflow_dispatch') && '/mnt/disk1/nightly_perf_gpu/' || '/mnt/disk1/pr_perf_gpu/' }}
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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# pip install transformers_stream_generator for model internlm-chat-7b-8k
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# pip install tiktoken for model Qwen-7B-Chat-10-12
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade wheel
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python -m pip install --upgrade omegaconf
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python -m pip install --upgrade pandas
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python -m pip install --upgrade einops
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python -m pip install --upgrade transformers_stream_generator
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python -m pip install --upgrade tiktoken
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# please uncomment it and comment the "Install IPEX-LLM from Pypi" part for PR tests
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# - name: Download llm binary
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# uses: ./.github/actions/llm/download-llm-binary
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# - name: Run LLM install (all) test
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# uses: ./.github/actions/llm/setup-llm-env
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# with:
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# extra-dependency: "xpu_2.1"
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- name: Install IPEX-LLM from Pypi
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shell: bash
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run: |
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pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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test_version_date=`date -d 'yesterday' '+%Y%m%d'`
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if ! pip show ipex-llm | grep $test_version_date; then
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echo "Did not install ipex-llm with excepted version $test_version_date"
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exit 1
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fi
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- name: Test installed xpu version
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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bash python/llm/test/run-llm-install-tests.sh
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- name: Test on xpu(transformers==4.31.0)
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shell: bash
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run: |
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date_for_test_version=$(date -d yesterday +%Y-%m-%d)
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sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py
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source /opt/intel/oneapi/setvars.sh
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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cp python/llm/test/benchmark/arc-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
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cd python/llm/dev/benchmark/all-in-one
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# hide time info
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sed -i 's/str(end - st)/"xxxxxx"/g' run.py
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# change csv name
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sed -i 's/{today}/{today}_test1/g' run.py
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python run.py
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- name: Test on xpu(transformers==4.34.0)
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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# upgrade transformers for model Mistral-7B-v0.1
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python -m pip install transformers==4.34.0
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cp python/llm/test/benchmark/arc-perf-transformers-434.yaml python/llm/dev/benchmark/all-in-one/config.yaml
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cd python/llm/dev/benchmark/all-in-one
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# change csv name
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sed -i 's/test1/test2/g' run.py
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python run.py
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- name: Test on xpu(transformers==4.37.0)
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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# upgrade transformers for model Qwen/Qwen1.5-7B-Chat
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python -m pip install transformers==4.37.0
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cp python/llm/test/benchmark/arc-perf-transformers-437.yaml python/llm/dev/benchmark/all-in-one/config.yaml
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cd python/llm/dev/benchmark/all-in-one
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# change csv name
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sed -i 's/test2/test3/g' run.py
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python run.py
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- name: Concat csv and generate html
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shell: bash
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run: |
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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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for file in *.csv; do
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if [[ $file != *test* ]]; then
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cp "$file" $CSV_SAVE_PATH
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fi
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done
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python -m pip install pandas==1.5.3
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cd ../../../test/benchmark
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python csv_to_html.py -f $CSV_SAVE_PATH
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- name: Check and upload results to ftp
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shell: bash
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run: |
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cd python/llm/dev/benchmark/all-in-one
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python ../../../test/benchmark/check_results.py -c test1 -y ../../../test/benchmark/arc-perf-test.yaml
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python ../../../test/benchmark/check_results.py -c test2 -y ../../../test/benchmark/arc-perf-transformers-434.yaml
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find . -name "*test*.csv" -delete
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if [ ${{ github.event_name }} == "schedule" ] || [ ${{ github.event_name }} == "workflow_dispatch" ]; then
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curl -T ./*.csv ${LLM_FTP_URL}/llm/nightly_perf/gpu/
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fi
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llm-performance-test-on-spr:
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if: ${{ github.event.schedule || github.event_name == 'workflow_dispatch' || github.event.inputs.artifact == 'llm-performance-test-on-spr' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
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# needs: llm-cpp-build # please uncomment it for PR tests
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.11"]
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runs-on: [self-hosted, llm, spr-perf]
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env:
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OMP_NUM_THREADS: 16
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THREAD_NUM: 16
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade wheel
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python -m pip install --upgrade omegaconf
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python -m pip install --upgrade pandas
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python -m pip install --upgrade einops
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python -m pip install --upgrade tiktoken
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python -m pip install --upgrade transformers_stream_generator
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# please uncomment it and comment the "Install IPEX-LLM from Pypi" part for PR tests
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# - name: Download llm binary
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# uses: ./.github/actions/llm/download-llm-binary
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# - name: Run LLM install (all) test
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# uses: ./.github/actions/llm/setup-llm-env
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- name: Install IPEX-LLM from Pypi
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shell: bash
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run: |
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pip install --pre --upgrade ipex-llm[all] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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test_version_date=`date -d 'yesterday' '+%Y%m%d'`
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if ! pip show ipex-llm | grep $test_version_date; then
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echo "Did not install ipex-llm with excepted version $test_version_date"
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exit 1
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fi
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- name: Test on cpu
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shell: bash
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run: |
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date_for_test_version=$(date -d yesterday +%Y-%m-%d)
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sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py
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mv python/llm/test/benchmark/cpu-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
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cd python/llm/dev/benchmark/all-in-one
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export http_proxy=${HTTP_PROXY}
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export https_proxy=${HTTPS_PROXY}
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source ipex-llm-init -t
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export OMP_NUM_THREADS=48
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# hide time info
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sed -i 's/str(end - st)/"xxxxxx"/g' run.py
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python run.py
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cp ./*.csv /mnt/disk1/models/nightly_perf_cpu
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cd ../../../test/benchmark
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python -m pip install pandas==1.5.3
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python csv_to_html.py -f /mnt/disk1/models/nightly_perf_cpu
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cd /mnt/disk1/models/nightly_perf_cpu
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for f in *.html; do
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curl -T "$f" ${LLM_FTP_URL}/llm/nightly_perf/nightly_perf_cpu/
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done
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llm-performance-test-on-core:
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if: ${{ github.event.schedule || github.event_name == 'workflow_dispatch' || github.event.inputs.artifact == 'llm-performance-test-on-core' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
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# needs: llm-cpp-build # please uncomment it for PR tests
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strategy:
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fail-fast: false
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matrix:
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include:
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- os: windows
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platform: dp
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python-version: "3.11"
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# - os: windows
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# platform: lp
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# python-version: "3.11"
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runs-on: [self-hosted, "${{ matrix.os }}", llm, perf-core, "${{ matrix.platform }}"]
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env:
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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CSV_SAVE_PATH: ${{ (github.event.schedule || github.event_name == 'workflow_dispatch') && 'D:/action-runners/nightly_perf_core_' || 'D:/action-runners/pr_perf_core_' }}${{ matrix.platform }}/
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade wheel
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python -m pip install --upgrade omegaconf pandas
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python -m pip install --upgrade tiktoken einops transformers_stream_generator
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# please uncomment it and comment the "Install IPEX-LLM from Pypi" part for PR tests
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# - name: Download llm binary
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# uses: ./.github/actions/llm/download-llm-binary
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# - name: Run LLM install (all) test
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# uses: ./.github/actions/llm/setup-llm-env
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- name: Install IPEX-LLM from Pypi
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shell: bash
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run: |
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pip install --pre --upgrade ipex-llm[all] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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test_version_date=`date -d 'yesterday' '+%Y%m%d'`
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if ! pip show ipex-llm | grep $test_version_date; then
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echo "Did not install ipex-llm with excepted version $test_version_date"
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exit 1
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fi
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- name: Test on core ${{ matrix.platform }}
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shell: bash
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run: |
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date_for_test_version=$(date -d yesterday +%Y-%m-%d)
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sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py
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mv python/llm/test/benchmark/core-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
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cd python/llm/dev/benchmark/all-in-one
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export http_proxy=${HTTP_PROXY}
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export https_proxy=${HTTPS_PROXY}
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# hide time info
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sed -i 's/str(end - st)/"xxxxxx"/g' run.py
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python run.py
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cp ./*.csv $CSV_SAVE_PATH
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cd ../../../test/benchmark
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python -m pip install pandas==1.5.3
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python csv_to_html.py -f $CSV_SAVE_PATH
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cd ../../dev/benchmark/all-in-one/
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if [ ${{ github.event_name }} == "schedule" ] || [ ${{ github.event_name }} == "workflow_dispatch" ]; then
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curl -T ./*.csv ${LLM_FTP_URL}/llm/nightly_perf/core_${{ matrix.platform }}/
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fi
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llm-performance-test-on-igpu:
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if: ${{ github.event.schedule || github.event_name == 'workflow_dispatch' || github.event.inputs.artifact == 'llm-performance-test-on-igpu' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
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# needs: llm-cpp-build # please uncomment it for PR tests
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strategy:
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fail-fast: false
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matrix:
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include:
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- os: windows
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python-version: "3.11"
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runs-on: [self-hosted, "${{ matrix.os }}", llm, perf-igpu]
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env:
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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# TODO: Put the ipex-llm related install process for win gpu into a action function
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# Please uncomment it and commment the install from pypi for PR tests
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# - name: Download llm binary
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# uses: ./.github/actions/llm/download-llm-binary
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# - name: Prepare for install ipex-llm from source
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# shell: bash
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# run: |
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# sed -i 's/"bigdl-core-xe-21==" + VERSION + "/"bigdl-core-xe-21/g' python/llm/setup.py
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# sed -i 's/"bigdl-core-xe-21==" + VERSION/"bigdl-core-xe-21"/g' python/llm/setup.py
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# - name: Install ipex-llm and other related packages (install from source)
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# shell: cmd
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# run: |
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# call conda create -n igpu-perf python=${{ matrix.python-version }} libuv -y
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# call conda activate igpu-perf
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# pip install --upgrade pip
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# pip install --upgrade wheel
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# pip install --upgrade omegaconf pandas
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# pip install --upgrade tiktoken einops transformers_stream_generator
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# cd python\llm
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# python setup.py clean --all bdist_wheel --win
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# if not exist dist\ipex_llm*.whl (exit /b 1)
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# for %%i in (dist\ipex_llm*.whl) do set whl_name=%%i
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# pip install --pre --upgrade %whl_name%[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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# if %ERRORLEVEL% neq 0 (exit /b 1)
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# pip list
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# call conda deactivate
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- name: Determine desired ipex-llm version
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shell: bash
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run: |
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test_version_date=`date -d 'yesterday' '+%Y%m%d'`
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echo "TEST_VERSION_DATE=${test_version_date}" >> "$GITHUB_ENV"
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- name: Install ipex-llm and other related packages (install from pypi)
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shell: cmd
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run: |
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call conda create -n igpu-perf python=${{ matrix.python-version }} libuv -y
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call conda activate igpu-perf
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pip install --upgrade pip
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pip install --upgrade wheel
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pip install --upgrade omegaconf pandas
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pip install --upgrade tiktoken einops transformers_stream_generator
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pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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pip show ipex-llm | findstr %TEST_VERSION_DATE%
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if %ERRORLEVEL% neq 0 (
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echo "Did not install ipex-llm with excepted version %TEST_VERSION_DATE%"
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exit /b 1
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)
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pip list
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call conda deactivate
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- name: Create env for html generation
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shell: cmd
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run: |
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call conda create -n html-gen python=3.11 -y
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call conda activate html-gen
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pip install pandas==1.5.3
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pip install Jinja2
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call conda deactivate
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- name: Set directory envs & and fix generated csv date name
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shell: bash
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run: |
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if [ ${{ github.event_name }} == "schedule" ] || [ ${{ github.event_name }} == "workflow_dispatch" ]; then
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echo "CSV_SAVE_PATH=${CSV_NIGHTLY_PATH}" >> "$GITHUB_ENV"
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else
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echo "CSV_SAVE_PATH=${CSV_PR_PATH}" >> "$GITHUB_ENV"
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fi
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date_for_test_version=$(date -d yesterday +%Y-%m-%d)
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echo "LOG_FILE=${date_for_test_version}_output.txt" >> "$GITHUB_ENV"
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sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py
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- name: Prepare igpu perf test (32-32)
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shell: bash
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run: |
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# hide time info
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# sed -i 's/str(end - st)/"xxxxxx"/g' python/llm/dev/benchmark/all-in-one/run.py
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sed -i 's/{api}-results-{today}.csv/32-32-{api}-results-{today}_test1.csv/g' python/llm/dev/benchmark/all-in-one/run.py
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sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32.yaml
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- name: Test on igpu (32-32)
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shell: cmd
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run: |
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call conda activate igpu-perf
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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
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\32-32.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Mistral (32-32)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_434.yaml
|
|
|
|
- name: Test on igpu for Mistral (32-32)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.34.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\32-32_434.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Qwen1.5 (32-32)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_437.yaml
|
|
|
|
- name: Test on igpu for Qwen1.5 (32-32)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.37.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\32-32_437.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Concat csv and generate html (32-32)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate html-gen
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
python ..\..\..\test\benchmark\concat_csv.py
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
del /q *test*.csv
|
|
move *.csv %CSV_SAVE_PATH%\32-32\
|
|
cd ..\..\..\test\benchmark
|
|
python csv_to_html.py -f %CSV_SAVE_PATH%\32-32\
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
move %CSV_SAVE_PATH%\32-32\*.html %CSV_SAVE_PATH%
|
|
|
|
call conda deactivate
|
|
|
|
# TODO: create a action function here for different input
|
|
# 1024-128
|
|
- name: Prepare igpu perf test (1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/32-32/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128.yaml
|
|
|
|
- name: Test on igpu (1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.31.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
REM for llava
|
|
set TRANSFORMERS_OFFLINE=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Mistral (1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_434.yaml
|
|
|
|
- name: Test on igpu for Mistral (1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.34.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_434.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Qwen 1.5 (1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_437.yaml
|
|
|
|
- name: Test on igpu for Qwen 1.5 (1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.37.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_437.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Concat csv and generate html (1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate html-gen
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
python ..\..\..\test\benchmark\concat_csv.py
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
del /q *test*.csv
|
|
move *.csv %CSV_SAVE_PATH%\1024-128\
|
|
cd ..\..\..\test\benchmark
|
|
python csv_to_html.py -f %CSV_SAVE_PATH%\1024-128\
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
move %CSV_SAVE_PATH%\1024-128\*.html %CSV_SAVE_PATH%
|
|
|
|
call conda deactivate
|
|
|
|
# 2048-256
|
|
- name: Prepare igpu perf test (2048-256)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/1024-128/2048-256/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256.yaml
|
|
|
|
- name: Test on igpu (2048-256)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.31.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
REM for llava
|
|
set TRANSFORMERS_OFFLINE=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\2048-256.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Mistral (2048-256)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_434.yaml
|
|
|
|
- name: Test on igpu for Mistral (2048-256)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.34.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\2048-256_434.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Qwen 1.5 (2048-256)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_437.yaml
|
|
|
|
- name: Test on igpu for Qwen 1.5 (2048-256)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.37.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\2048-256_437.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Concat csv and generate html (2048-256)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate html-gen
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
python ..\..\..\test\benchmark\concat_csv.py
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
del /q *test*.csv
|
|
move *.csv %CSV_SAVE_PATH%\2048-256\
|
|
cd ..\..\..\test\benchmark
|
|
python csv_to_html.py -f %CSV_SAVE_PATH%\2048-256\
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
move %CSV_SAVE_PATH%\2048-256\*.html %CSV_SAVE_PATH%
|
|
|
|
call conda deactivate
|
|
|
|
# load_low_bit 1024-128
|
|
- name: Prepare igpu perf test (load_low_bit 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/2048-256/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit.yaml
|
|
|
|
- name: Test on igpu (load_low_bit 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.31.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
REM for llava
|
|
set TRANSFORMERS_OFFLINE=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Mistral (load_low_bit 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit_434.yaml
|
|
|
|
- name: Test on igpu for Mistral (load_low_bit 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.34.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit_434.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Qwen 1.5 (load_low_bit 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit_437.yaml
|
|
|
|
- name: Test on igpu for Qwen 1.5 (load_low_bit 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.37.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit_437.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Concat csv and generate html (load_low_bit 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate html-gen
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
python ..\..\..\test\benchmark\concat_csv.py
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
del /q *test*.csv
|
|
move *.csv %CSV_SAVE_PATH%\1024-128_loadlowbit\
|
|
cd ..\..\..\test\benchmark
|
|
python csv_to_html.py -f %CSV_SAVE_PATH%\1024-128_loadlowbit\
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
move %CSV_SAVE_PATH%\1024-128_loadlowbit\*.html %CSV_SAVE_PATH%
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test (int4+fp16 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml
|
|
|
|
- name: Test on igpu (int4+fp16 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.31.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
REM for llava
|
|
set TRANSFORMERS_OFFLINE=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Mistral (int4+fp16 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_434.yaml
|
|
|
|
- name: Test on igpu for Mistral (int4+fp16 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
|
|
pip install transformers==4.34.0
|
|
|
|
call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
|
|
set SYCL_CACHE_PERSISTENT=1
|
|
set BIGDL_LLM_XMX_DISABLED=1
|
|
|
|
cd python\llm\dev\benchmark\all-in-one
|
|
move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_434.yaml config.yaml
|
|
set PYTHONIOENCODING=utf-8
|
|
python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
|
|
if %ERRORLEVEL% neq 0 (exit /b 1)
|
|
|
|
call conda deactivate
|
|
|
|
- name: Prepare igpu perf test for Qwen 1.5 (int4+fp16 1024-128)
|
|
shell: bash
|
|
run: |
|
|
sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
|
|
sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_437.yaml
|
|
|
|
- name: Test on igpu for Qwen 1.5 (int4+fp16 1024-128)
|
|
shell: cmd
|
|
run: |
|
|
call conda activate igpu-perf
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pip install transformers==4.37.0
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|
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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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|
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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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|
|
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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: |
|
|
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)
|
|
move %CSV_SAVE_PATH%\1024-128_int4_fp16\*.html %CSV_SAVE_PATH%
|
|
|
|
call conda deactivate
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|
|
|
# TODO: avoid duplicated code
|
|
- name: Upload results to ftp
|
|
if: ${{ always() }}
|
|
shell: cmd
|
|
run: |
|
|
cd %CSV_SAVE_PATH%
|
|
IF "${{ github.event_name }}"=="schedule" (
|
|
for %%f in (*.html) do (
|
|
curl -T "%%f" %FTP_IGPU_NIGHTLY_PERF_PATH%
|
|
)
|
|
)
|
|
IF "${{ github.event_name }}"=="workflow_dispatch" (
|
|
for %%f in (*.html) do (
|
|
curl -T "%%f" %FTP_IGPU_NIGHTLY_PERF_PATH%
|
|
)
|
|
)
|
|
# for test on machine when encountering error
|
|
# - name: Remove conda env
|
|
# if: ${{ always() }}
|
|
# shell: cmd
|
|
# run: |
|
|
# call conda env remove -n igpu-perf -y
|