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name: MLPerf inference bert (deepsparse, tf, onnxruntime, pytorch) | ||
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on: | ||
pull_request: | ||
branches: [ "main", "dev" ] | ||
paths: | ||
- '.github/workflows/test-mlperf-inference-bert-deepsparse-tf-onnxruntime-pytorch.yml' | ||
- '**' | ||
- '!**.md' | ||
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jobs: | ||
build: | ||
runs-on: ${{ matrix.os }} | ||
strategy: | ||
fail-fast: false | ||
matrix: | ||
# 3.12 didn't work on 20240305 - need to check | ||
python-version: [ "3.11" ] | ||
backend: [ "deepsparse", "tf", "onnxruntime", "pytorch" ] | ||
precision: [ "int8", "fp32" ] | ||
os: [ubuntu-latest, windows-latest, macos-latest] | ||
exclude: | ||
- backend: tf | ||
- backend: pytorch | ||
- backend: onnxruntime | ||
- precision: fp32 | ||
- os: windows-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
- name: Install mlcflow | ||
run: | | ||
python -m pip install --upgrade pip | ||
python -m pip install --ignore-installed --verbose pip setuptools | ||
python -m pip install . | ||
mlc pull repo mlcommons@mlperf-automations --branch=dev | ||
- name: Test MLPerf Inference Bert ${{ matrix.backend }} on ${{ matrix.os }} | ||
if: matrix.os == 'windows-latest' | ||
run: | | ||
mlcr --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --submitter="MLCommons" --hw_name=gh_${{ matrix.os }} --model=bert-99 --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=5 --adr.loadgen.tags=_from-pip --pip_loadgen=yes --precision=${{ matrix.precision }} --target_qps=1 -v --quiet | ||
- name: Test MLPerf Inference Bert ${{ matrix.backend }} on ${{ matrix.os }} | ||
if: matrix.os != 'windows-latest' | ||
run: | | ||
mlcr --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --submitter="MLCommons" --hw_name=gh_${{ matrix.os }}_x86 --model=bert-99 --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=5 --precision=${{ matrix.precision }} --target_qps=1 -v --quiet |
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name: 'MLPerf inference resnet50' | ||
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on: | ||
pull_request: | ||
branches: [ "main", "dev" ] | ||
paths: | ||
- '.github/workflows/mlperf-inference-resnet50.yml' | ||
- '**' | ||
- '!**.md' | ||
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jobs: | ||
build: | ||
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strategy: | ||
fail-fast: false | ||
matrix: | ||
python-version: ["3.12", "3.11", "3.8"] | ||
on: [ubuntu-latest, macos-latest, windows-latest] | ||
backend: [ "onnxruntime", "tf" ] | ||
implementation: [ "python", "cpp" ] | ||
exclude: | ||
- backend: tf | ||
implementation: cpp | ||
- on: windows-latest | ||
implementation: cpp | ||
runs-on: "${{ matrix.on }}" | ||
steps: | ||
- uses: actions/checkout@v4 | ||
with: | ||
ref: ${{ github.event.pull_request.head.sha }} | ||
- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
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- name: Install dependencies | ||
run: | | ||
python -m pip install --upgrade pip | ||
python -m pip install --ignore-installed --verbose pip setuptools | ||
python -m pip install . | ||
mlc pull repo mlcommons@mlperf-automations --branch=dev | ||
- name: Test MLPerf inference ResNet50 on Windows (prebuilt loadgen) | ||
if: runner.os == 'Windows' | ||
run: | | ||
mlc run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --hw_name=gh_action --model=resnet50 --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=100 --target_qps=1 -v --quiet --adr.loadgen.tags=_from-pip --pip_loadgen=yes | ||
- name: Test MLPerf inference ResNet50 on Unix systems | ||
if: runner.os != 'Windows' | ||
run: | | ||
mlc run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --hw_name=gh_action --model=resnet50 --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=100 --target_qps=1 -v --quiet |
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__version__ = "0.1.0" | ||
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from .main import access | ||
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__all__ = ['access'] |
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