Docs update, fix final report generation for datcenter,edge #35
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions | |
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
name: Test for MLPerf inference resnet50 TVM backend using MLC script automation | |
on: | |
pull_request: | |
branches: [ "master", "dev" ] | |
paths: | |
- vision/classification_and_detection/backend_tvm.py | |
- vision/classification_and_detection/main.py | |
- .github/workflows/test-tvm.yml | |
- '!**.md' | |
env: | |
PR_HEAD_REF: ${{ github.event.pull_request.head.ref }} | |
jobs: | |
build: | |
runs-on: ubuntu-latest | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: [ "3.10" ] | |
backend: [ "tvm-onnx" ] | |
steps: | |
- uses: actions/checkout@v3 | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v3 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install dependencies | |
run: | | |
python3 -m pip install mlc-scripts | |
- name: Test Resnet50 TVM backend | |
run: | | |
mlcr run,mlperf,inference,generate-run-cmds --quiet --submitter="MLCommons" --hw_name=default --model=resnet50 --implementation=reference --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=5 --adr.compiler.tags=gcc --adr.inference-src.version=custom --adr.inference-src.tags=_repo.${{ github.event.pull_request.head.repo.html_url }},_branch.$PR_HEAD_REF |