single-gpu generation for integration testing #1773
Workflow file for this run
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name: CPU Unit Test | |
on: | |
push: | |
branches: [ main ] | |
pull_request: | |
concurrency: | |
group: unit-test${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
cancel-in-progress: true | |
jobs: | |
build-test: | |
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
with: | |
docker-image: torchtitan-ubuntu-20.04-clang12 | |
repository: pytorch/torchtitan | |
script: | | |
set -eux | |
# The generic Linux job chooses to use base env, not the one setup by the image | |
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
conda activate "${CONDA_ENV}" | |
pip config --user set global.progress_bar off | |
pip install --force-reinstall --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu | |
pytest test --cov=. --cov-report=xml --durations=20 -vv |