GPU Integration Test #523
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: GPU Integration Test | |
| on: | |
| schedule: | |
| # Runs hourly | |
| - cron: '0 * * * *' | |
| concurrency: | |
| group: unit-test${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
| cancel-in-progress: true | |
| defaults: | |
| run: | |
| shell: bash -l -eo pipefail {0} | |
| jobs: | |
| build-test: | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| runner: linux.g5.12xlarge.nvidia.gpu | |
| gpu-arch-type: cuda | |
| gpu-arch-version: "12.1" | |
| # This image is faster to clone than the default, but it lacks CC needed by triton | |
| # (1m25s vs 2m37s). | |
| docker-image: torchtitan-ubuntu-20.04-clang12 | |
| repository: pytorch/torchtitan | |
| upload-artifact: outputs | |
| 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 | |
| python -m pip install --force-reinstall --pre torch --index-url https://download.pytorch.org/whl/nightly/cu121 | |
| python -m pip install --pre torchdata --index-url https://download.pytorch.org/whl/nightly/ | |
| mkdir artifacts-to-be-uploaded | |
| python ./test_runner.py artifacts-to-be-uploaded |