[Docs] Fix multi-agent tutorial #1776
Workflow file for this run
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| name: Examples Tests on Linux | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - nightly | |
| - main | |
| - release/* | |
| workflow_dispatch: | |
| env: | |
| CHANNEL: "nightly" | |
| concurrency: | |
| # Documentation suggests ${{ github.head_ref }}, but that's only available on pull_request/pull_request_target triggers, so using ${{ github.ref }}. | |
| # On master, we want all builds to complete even if merging happens faster to make it easier to discover at which point something broke. | |
| group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && format('ci-master-{0}', github.sha) || format('ci-{0}', github.ref) }} | |
| cancel-in-progress: true | |
| jobs: | |
| tests: | |
| strategy: | |
| matrix: | |
| python_version: ["3.9"] # "3.8", "3.9", "3.10", "3.11" | |
| cuda_arch_version: ["11.6"] # "11.6", "11.7" | |
| fail-fast: false | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| runner: linux.g5.4xlarge.nvidia.gpu | |
| repository: pytorch/rl | |
| docker-image: "nvidia/cuda:12.2.0-devel-ubuntu22.04" | |
| gpu-arch-type: cuda | |
| gpu-arch-version: ${{ matrix.cuda_arch_version }} | |
| timeout: 90 | |
| script: | | |
| # Set env vars from matrix | |
| export PYTHON_VERSION=${{ matrix.python_version }} | |
| # Commenting these out for now because the GPU test are not working inside docker | |
| export CUDA_ARCH_VERSION=${{ matrix.cuda_arch_version }} | |
| export CU_VERSION="cu${CUDA_ARCH_VERSION:0:2}${CUDA_ARCH_VERSION:3:1}" | |
| # Remove the following line when the GPU tests are working inside docker, and uncomment the above lines | |
| #export CU_VERSION="cpu" | |
| echo "PYTHON_VERSION: $PYTHON_VERSION" | |
| echo "CU_VERSION: $CU_VERSION" | |
| ## setup_env.sh | |
| bash .github/unittest/linux_examples/scripts/run_all.sh |