[Docs] Fix multi-agent tutorial #1500
Workflow file for this run
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| name: Envpool Tests on Linux | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - nightly | |
| - main | |
| - release/* | |
| workflow_dispatch: | |
| jobs: | |
| unittests: | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| repository: pytorch/rl | |
| runner: "linux.g5.4xlarge.nvidia.gpu" | |
| # gpu-arch-type: cuda | |
| # gpu-arch-version: "11.7" | |
| # docker-image: "nvidia/cudagl:11.4.0-base" | |
| docker-image: "pytorch/manylinux-cuda117" | |
| timeout: 120 | |
| script: | | |
| set -euo pipefail | |
| export PYTHON_VERSION="3.8" | |
| export CU_VERSION="11.7" | |
| export TAR_OPTIONS="--no-same-owner" | |
| export UPLOAD_CHANNEL="nightly" | |
| export TF_CPP_MIN_LOG_LEVEL=0 | |
| nvidia-smi | |
| bash .github/unittest/linux_libs/scripts_envpool/setup_env.sh | |
| bash .github/unittest/linux_libs/scripts_envpool/install.sh | |
| bash .github/unittest/linux_libs/scripts_envpool/run_test.sh | |
| bash .github/unittest/linux_libs/scripts_envpool/post_process.sh |