2025-07-02T08:01:14.9707050Z Current runner version: '2.325.0'
2025-07-02T08:01:14.9713031Z Runner name: 'i-093453aafa03b6806'
2025-07-02T08:01:14.9713837Z Runner group name: 'default'
2025-07-02T08:01:14.9714661Z Machine name: 'ip-10-0-79-34'
2025-07-02T08:01:14.9717410Z ##[group]GITHUB_TOKEN Permissions
2025-07-02T08:01:14.9719748Z Contents: read
2025-07-02T08:01:14.9720264Z Metadata: read
2025-07-02T08:01:14.9720755Z ##[endgroup]
2025-07-02T08:01:14.9723017Z Secret source: Actions
2025-07-02T08:01:14.9723651Z Prepare workflow directory
2025-07-02T08:01:15.0341361Z Prepare all required actions
2025-07-02T08:01:15.0378362Z Getting action download info
2025-07-02T08:01:15.3246262Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-07-02T08:01:15.6214266Z Download action repository 'pytorch/pytorch@main' (SHA:0364db7cd14ffa67b48ef8c27fefbb3eed2b065d)
2025-07-02T08:01:29.3667793Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-07-02T08:01:29.7279166Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-07-02T08:01:29.8404615Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-07-02T08:01:30.2672089Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-07-02T08:01:30.5418292Z Getting action download info
2025-07-02T08:01:30.6952343Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (4e43bd8700fb3fac32b6155020e13e6033eb4bcb)
2025-07-02T08:01:30.6955877Z ##[group] Inputs
2025-07-02T08:01:30.6965988Z   script: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:30.6976709Z   timeout: 120
2025-07-02T08:01:30.6976958Z   runner: linux.g5.4xlarge.nvidia.gpu
2025-07-02T08:01:30.6977266Z   upload-artifact: docs
2025-07-02T08:01:30.6977779Z   upload-artifact-to-s3: false
2025-07-02T08:01:30.6978057Z   download-artifact: 
2025-07-02T08:01:30.6978294Z   repository: pytorch/rl
2025-07-02T08:01:30.6978548Z   fetch-depth: 1
2025-07-02T08:01:30.6978757Z   submodules: 
2025-07-02T08:01:30.6978955Z   ref: 
2025-07-02T08:01:30.6979185Z   test-infra-repository: pytorch/test-infra
2025-07-02T08:01:30.6979489Z   test-infra-ref: 
2025-07-02T08:01:30.6979733Z   use-custom-docker-registry: true
2025-07-02T08:01:30.6980033Z   docker-image: pytorch/almalinux-builder
2025-07-02T08:01:30.6980344Z   docker-build-dir: .ci/docker
2025-07-02T08:01:30.6980599Z   gpu-arch-type: cpu
2025-07-02T08:01:30.6980830Z   gpu-arch-version: 
2025-07-02T08:01:30.6981053Z   job-name: linux-job
2025-07-02T08:01:30.6981293Z   continue-on-error: false
2025-07-02T08:01:30.6981538Z   binary-matrix: 
2025-07-02T08:01:30.6981765Z   run-with-docker: true
2025-07-02T08:01:30.6982017Z   secrets-env: 
2025-07-02T08:01:30.6982232Z   no-sudo: false
2025-07-02T08:01:30.6982455Z ##[endgroup]
2025-07-02T08:01:30.6982715Z Complete job name: build-docs (3.9, 12.8) / linux-job
2025-07-02T08:01:30.7584831Z A job started hook has been configured by the self-hosted runner administrator
2025-07-02T08:01:30.7712704Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-07-02T08:01:30.7724531Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:30.7725129Z ##[endgroup]
2025-07-02T08:01:32.2735544Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2025-07-02T08:01:32.2736033Z Instance Type: g5.4xlarge
2025-07-02T08:01:32.2736286Z AMI Name: unknown
2025-07-02T08:01:32.2780733Z AMI ID: ami-05ffe3c48a9991133
2025-07-02T08:01:37.7718260Z ##[group]Run set -euxo pipefail
2025-07-02T08:01:37.7718626Z set -euxo pipefail
2025-07-02T08:01:37.7718912Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-07-02T08:01:37.7719266Z   echo "::group::Cleanup with-sudo debug output"
2025-07-02T08:01:37.7719631Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-07-02T08:01:37.7719927Z else
2025-07-02T08:01:37.7720181Z   echo "::group::Cleanup no-sudo debug output"
2025-07-02T08:01:37.7720521Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-07-02T08:01:37.7720788Z fi
2025-07-02T08:01:37.7720979Z 
2025-07-02T08:01:37.7721206Z mkdir -p "${GITHUB_WORKSPACE}"
2025-07-02T08:01:37.7721517Z echo "::endgroup::"
2025-07-02T08:01:37.7734227Z shell: /usr/bin/bash -e {0}
2025-07-02T08:01:37.7734477Z env:
2025-07-02T08:01:37.7734705Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:37.7735018Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:37.7735285Z   PR_NUMBER: 3030
2025-07-02T08:01:37.7745169Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:37.7756029Z   NO_SUDO: false
2025-07-02T08:01:37.7756247Z ##[endgroup]
2025-07-02T08:01:37.7791581Z + [[ false == \f\a\l\s\e ]]
2025-07-02T08:01:37.7804646Z ##[group]Cleanup with-sudo debug output
2025-07-02T08:01:37.7807649Z + echo '::group::Cleanup with-sudo debug output'
2025-07-02T08:01:37.7808065Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/rl/rl
2025-07-02T08:01:37.9314160Z removed directory '/home/ec2-user/actions-runner/_work/rl/rl'
2025-07-02T08:01:37.9336828Z + mkdir -p /home/ec2-user/actions-runner/_work/rl/rl
2025-07-02T08:01:37.9353703Z + echo ::endgroup::
2025-07-02T08:01:37.9354369Z ##[endgroup]
2025-07-02T08:01:37.9471591Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-07-02T08:01:37.9472000Z with:
2025-07-02T08:01:37.9472212Z   repository: pytorch/test-infra
2025-07-02T08:01:37.9472490Z   path: test-infra
2025-07-02T08:01:37.9472708Z   submodules: recursive
2025-07-02T08:01:37.9473174Z   token: ***
2025-07-02T08:01:37.9473403Z   ssh-strict: true
2025-07-02T08:01:37.9473611Z   ssh-user: git
2025-07-02T08:01:37.9473839Z   persist-credentials: true
2025-07-02T08:01:37.9474083Z   clean: true
2025-07-02T08:01:37.9474316Z   sparse-checkout-cone-mode: true
2025-07-02T08:01:37.9474591Z   fetch-depth: 1
2025-07-02T08:01:37.9474814Z   fetch-tags: false
2025-07-02T08:01:37.9475238Z   show-progress: true
2025-07-02T08:01:37.9475457Z   lfs: false
2025-07-02T08:01:37.9475669Z   set-safe-directory: true
2025-07-02T08:01:37.9475906Z env:
2025-07-02T08:01:37.9476137Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:37.9476444Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:37.9476718Z   PR_NUMBER: 3030
2025-07-02T08:01:37.9486677Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:37.9504583Z ##[endgroup]
2025-07-02T08:01:38.0913203Z Syncing repository: pytorch/test-infra
2025-07-02T08:01:38.0913900Z ##[group]Getting Git version info
2025-07-02T08:01:38.0914338Z Working directory is '/home/ec2-user/actions-runner/_work/rl/rl/test-infra'
2025-07-02T08:01:38.0914940Z [command]/usr/bin/git version
2025-07-02T08:01:38.0921891Z git version 2.47.1
2025-07-02T08:01:38.0948296Z ##[endgroup]
2025-07-02T08:01:38.0961978Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/4e4bb53c-9b67-457f-bbd1-a4f6233de605' before making global git config changes
2025-07-02T08:01:38.0962886Z Adding repository directory to the temporary git global config as a safe directory
2025-07-02T08:01:38.0975803Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/rl/rl/test-infra
2025-07-02T08:01:38.1034285Z ##[group]Initializing the repository
2025-07-02T08:01:38.1034910Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/rl/rl/test-infra
2025-07-02T08:01:38.1066257Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-07-02T08:01:38.1066866Z hint: is subject to change. To configure the initial branch name to use in all
2025-07-02T08:01:38.1067411Z hint: of your new repositories, which will suppress this warning, call:
2025-07-02T08:01:38.1067805Z hint:
2025-07-02T08:01:38.1068113Z hint: 	git config --global init.defaultBranch <name>
2025-07-02T08:01:38.1068455Z hint:
2025-07-02T08:01:38.1068791Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-07-02T08:01:38.1069342Z hint: 'development'. The just-created branch can be renamed via this command:
2025-07-02T08:01:38.1069771Z hint:
2025-07-02T08:01:38.1070002Z hint: 	git branch -m <name>
2025-07-02T08:01:38.1070501Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/rl/rl/test-infra/.git/
2025-07-02T08:01:38.1079291Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-07-02T08:01:38.1116610Z ##[endgroup]
2025-07-02T08:01:38.1117063Z ##[group]Disabling automatic garbage collection
2025-07-02T08:01:38.1120860Z [command]/usr/bin/git config --local gc.auto 0
2025-07-02T08:01:38.1156129Z ##[endgroup]
2025-07-02T08:01:38.1156531Z ##[group]Setting up auth
2025-07-02T08:01:38.1161993Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-07-02T08:01:38.1405111Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-07-02T08:01:38.1837396Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-07-02T08:01:38.1873906Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-07-02T08:01:38.2287094Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-07-02T08:01:38.2341668Z ##[endgroup]
2025-07-02T08:01:38.2342183Z ##[group]Determining the default branch
2025-07-02T08:01:38.2344736Z Retrieving the default branch name
2025-07-02T08:01:38.4395441Z Default branch 'main'
2025-07-02T08:01:38.4396088Z ##[endgroup]
2025-07-02T08:01:38.4396498Z ##[group]Fetching the repository
2025-07-02T08:01:38.4401590Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2025-07-02T08:01:38.9023508Z From https://github.com/pytorch/test-infra
2025-07-02T08:01:38.9051923Z  * [new branch]      main       -> origin/main
2025-07-02T08:01:38.9052946Z ##[endgroup]
2025-07-02T08:01:38.9053340Z ##[group]Determining the checkout info
2025-07-02T08:01:38.9054580Z ##[endgroup]
2025-07-02T08:01:38.9060314Z [command]/usr/bin/git sparse-checkout disable
2025-07-02T08:01:38.9110904Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-07-02T08:01:38.9145877Z ##[group]Checking out the ref
2025-07-02T08:01:38.9150098Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-07-02T08:01:39.0676617Z Switched to a new branch 'main'
2025-07-02T08:01:39.0678835Z branch 'main' set up to track 'origin/main'.
2025-07-02T08:01:39.0692147Z ##[endgroup]
2025-07-02T08:01:39.0692574Z ##[group]Setting up auth for fetching submodules
2025-07-02T08:01:39.0697653Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-07-02T08:01:39.0749022Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-07-02T08:01:39.0787812Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-07-02T08:01:39.0822782Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-07-02T08:01:39.0854257Z ##[endgroup]
2025-07-02T08:01:39.0854639Z ##[group]Fetching submodules
2025-07-02T08:01:39.0857802Z [command]/usr/bin/git submodule sync --recursive
2025-07-02T08:01:39.1244864Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-07-02T08:01:39.1628502Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-07-02T08:01:39.2013996Z ##[endgroup]
2025-07-02T08:01:39.2014429Z ##[group]Persisting credentials for submodules
2025-07-02T08:01:39.2018906Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-07-02T08:01:39.2412373Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-07-02T08:01:39.2826188Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-07-02T08:01:39.3193511Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-07-02T08:01:39.3559435Z ##[endgroup]
2025-07-02T08:01:39.3605073Z [command]/usr/bin/git log -1 --format=%H
2025-07-02T08:01:39.3631606Z 4e43bd8700fb3fac32b6155020e13e6033eb4bcb
2025-07-02T08:01:39.3872465Z Prepare all required actions
2025-07-02T08:01:39.3872930Z Getting action download info
2025-07-02T08:01:39.4793616Z Download action repository 'pytorch/test-infra@main' (SHA:4e43bd8700fb3fac32b6155020e13e6033eb4bcb)
2025-07-02T08:01:41.4089913Z Getting action download info
2025-07-02T08:01:41.5140960Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-07-02T08:01:41.6826082Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-07-02T08:01:41.6826406Z env:
2025-07-02T08:01:41.6826641Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:41.6826950Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:41.6827190Z   PR_NUMBER: 3030
2025-07-02T08:01:41.6837180Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:41.6847801Z ##[endgroup]
2025-07-02T08:01:41.6931794Z ##[group]Run set -euo pipefail
2025-07-02T08:01:41.6932106Z set -euo pipefail
2025-07-02T08:01:41.6932371Z function get_ec2_metadata() {
2025-07-02T08:01:41.6932904Z   # Pulled from instance metadata endpoint for EC2
2025-07-02T08:01:41.6933493Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-07-02T08:01:41.6934008Z   category=$1
2025-07-02T08:01:41.6934797Z   curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-07-02T08:01:41.6935603Z }
2025-07-02T08:01:41.6935840Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-07-02T08:01:41.6936229Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-07-02T08:01:41.6936658Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-07-02T08:01:41.6937033Z echo "system info $(uname -a)"
2025-07-02T08:01:41.6946795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:41.6947146Z env:
2025-07-02T08:01:41.6947381Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:41.6947698Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:41.6947932Z   PR_NUMBER: 3030
2025-07-02T08:01:41.6957662Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:41.6967661Z ##[endgroup]
2025-07-02T08:01:41.7146164Z ami-id: ami-05ffe3c48a9991133
2025-07-02T08:01:41.7264389Z instance-id: i-093453aafa03b6806
2025-07-02T08:01:41.7384544Z instance-type: g5.4xlarge
2025-07-02T08:01:41.7401679Z system info Linux ip-10-0-79-34.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-07-02T08:01:41.7473215Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-02T08:01:41.7474058Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-02T08:01:41.7483331Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:41.7483679Z env:
2025-07-02T08:01:41.7483915Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:41.7484226Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:41.7484477Z   PR_NUMBER: 3030
2025-07-02T08:01:41.7494346Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:41.7504254Z ##[endgroup]
2025-07-02T08:01:41.7596076Z ##[group]Run if systemctl is-active --quiet docker; then
2025-07-02T08:01:41.7596487Z if systemctl is-active --quiet docker; then
2025-07-02T08:01:41.7596839Z     echo "Docker daemon is running...";
2025-07-02T08:01:41.7597129Z else
2025-07-02T08:01:41.7597456Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-07-02T08:01:41.7597850Z fi
2025-07-02T08:01:41.7606373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:41.7606710Z env:
2025-07-02T08:01:41.7606944Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:41.7607258Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:41.7607502Z   PR_NUMBER: 3030
2025-07-02T08:01:41.7617253Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:41.7627443Z ##[endgroup]
2025-07-02T08:01:41.7727617Z Docker daemon is running...
2025-07-02T08:01:41.7762689Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-07-02T08:01:41.7763297Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-07-02T08:01:41.7763771Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-07-02T08:01:41.7764331Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-07-02T08:01:41.7764998Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-07-02T08:01:41.7774900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:41.7775242Z env:
2025-07-02T08:01:41.7775470Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:41.7775789Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:41.7776024Z   PR_NUMBER: 3030
2025-07-02T08:01:41.7785541Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:41.7795595Z   AWS_RETRY_MODE: standard
2025-07-02T08:01:41.7795847Z   AWS_MAX_ATTEMPTS: 5
2025-07-02T08:01:41.7796089Z   AWS_DEFAULT_REGION: us-east-1
2025-07-02T08:01:41.7796346Z ##[endgroup]
2025-07-02T08:01:42.8272680Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-07-02T08:01:42.8273247Z Configure a credential helper to remove this warning. See
2025-07-02T08:01:42.8273784Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-07-02T08:01:42.8274179Z 
2025-07-02T08:01:42.8274275Z Login Succeeded
2025-07-02T08:01:42.8334159Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-07-02T08:01:42.8334695Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-07-02T08:01:42.8335157Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-07-02T08:01:42.8345191Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:42.8345530Z env:
2025-07-02T08:01:42.8346111Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:42.8346424Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:42.8346668Z   PR_NUMBER: 3030
2025-07-02T08:01:42.8356523Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:42.8366475Z ##[endgroup]
2025-07-02T08:01:42.8473239Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-07-02T08:01:42.8473690Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-07-02T08:01:42.8474056Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-07-02T08:01:42.8474381Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-07-02T08:01:42.8474801Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-07-02T08:01:42.8475183Z 
2025-07-02T08:01:42.8475465Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-07-02T08:01:42.8475861Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-07-02T08:01:42.8476212Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-07-02T08:01:42.8476668Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-07-02T08:01:42.8477079Z 
2025-07-02T08:01:42.8477306Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-07-02T08:01:42.8477635Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-07-02T08:01:42.8477931Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-07-02T08:01:42.8478293Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-07-02T08:01:42.8487702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:42.8488044Z env:
2025-07-02T08:01:42.8488289Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:42.8488607Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:42.8488852Z   PR_NUMBER: 3030
2025-07-02T08:01:42.8498759Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:42.8508831Z ##[endgroup]
2025-07-02T08:01:43.3399653Z ##[group]Run needs=0
2025-07-02T08:01:43.3399908Z needs=0
2025-07-02T08:01:43.3400253Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-07-02T08:01:43.3400644Z   needs=1
2025-07-02T08:01:43.3400866Z fi
2025-07-02T08:01:43.3401095Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-07-02T08:01:43.3412008Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:01:43.3412359Z env:
2025-07-02T08:01:43.3412589Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:43.3412900Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:43.3413144Z   PR_NUMBER: 3030
2025-07-02T08:01:43.3422941Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:43.3432985Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:01:43.3433522Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:01:43.3434029Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:01:43.3434381Z ##[endgroup]
2025-07-02T08:01:43.3787507Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-07-02T08:01:43.3787881Z with:
2025-07-02T08:01:43.3788085Z   driver-version: 570.133.07
2025-07-02T08:01:43.3788316Z env:
2025-07-02T08:01:43.3788554Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:43.3788861Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:43.3789095Z   PR_NUMBER: 3030
2025-07-02T08:01:43.3798937Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:43.3808978Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:01:43.3809511Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:01:43.3810016Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:01:43.3810368Z ##[endgroup]
2025-07-02T08:01:43.3854390Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-07-02T08:01:43.3854766Z with:
2025-07-02T08:01:43.3854955Z   timeout_minutes: 10
2025-07-02T08:01:43.3855179Z   max_attempts: 3
2025-07-02T08:01:43.3879600Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-docker2 \
          nvidia-container-toolkit-1.16.2 \
          libnvidia-container-tools-1.16.2 \
          libnvidia-container1-1.16.2 \
          nvidia-container-toolkit-base-1.16.2
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-docker2 nvidia-container-toolkit-1.16.2
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-07-02T08:01:43.3904555Z   retry_wait_seconds: 10
2025-07-02T08:01:43.3904798Z   polling_interval_seconds: 1
2025-07-02T08:01:43.3905053Z   warning_on_retry: true
2025-07-02T08:01:43.3905284Z   continue_on_error: false
2025-07-02T08:01:43.3905513Z env:
2025-07-02T08:01:43.3905738Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:01:43.3906049Z   REPOSITORY: pytorch/rl
2025-07-02T08:01:43.3906279Z   PR_NUMBER: 3030
2025-07-02T08:01:43.3915961Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:01:43.3925925Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:01:43.3926461Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:01:43.3926959Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:01:43.3927313Z   DRIVER_VERSION: 570.133.07
2025-07-02T08:01:43.3927553Z ##[endgroup]
2025-07-02T08:01:43.4773978Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run ==
2025-07-02T08:01:43.4775098Z + pre_install_nvidia_driver_amzn2
2025-07-02T08:01:43.4778944Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-07-02T08:01:43.8383822Z No match for argument: nvidia-driver-latest-dkms
2025-07-02T08:01:43.8384369Z No packages marked for removal.
2025-07-02T08:01:43.8462418Z Dependencies resolved.
2025-07-02T08:01:43.8473642Z Nothing to do.
2025-07-02T08:01:43.8474652Z Complete!
2025-07-02T08:01:43.8820271Z + install_nvidia_driver_common
2025-07-02T08:01:43.8824756Z + echo 'Before installing NVIDIA driver'
2025-07-02T08:01:43.8825067Z + lspci
2025-07-02T08:01:43.8826782Z Before installing NVIDIA driver
2025-07-02T08:01:43.8952863Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-07-02T08:01:43.8953556Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-07-02T08:01:43.8954093Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-07-02T08:01:43.8954604Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-07-02T08:01:43.8955071Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-07-02T08:01:43.8955588Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-07-02T08:01:43.8956151Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-07-02T08:01:43.8956898Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-07-02T08:01:43.8957294Z + lsmod
2025-07-02T08:01:43.9007367Z Module                  Size  Used by
2025-07-02T08:01:43.9007808Z xt_conntrack           16384  1
2025-07-02T08:01:43.9008169Z nft_chain_nat          16384  3
2025-07-02T08:01:43.9008528Z xt_MASQUERADE          20480  1
2025-07-02T08:01:43.9008841Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-07-02T08:01:43.9009172Z nf_conntrack_netlink    57344  0
2025-07-02T08:01:43.9009566Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-07-02T08:01:43.9009996Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-07-02T08:01:43.9010312Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-07-02T08:01:43.9010670Z xfrm_user              57344  1
2025-07-02T08:01:43.9010934Z xfrm_algo              16384  1 xfrm_user
2025-07-02T08:01:43.9011212Z xt_addrtype            16384  2
2025-07-02T08:01:43.9011478Z nft_compat             20480  4
2025-07-02T08:01:43.9011781Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-07-02T08:01:43.9012184Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-07-02T08:01:43.9012573Z br_netfilter           36864  0
2025-07-02T08:01:43.9012838Z bridge                323584  1 br_netfilter
2025-07-02T08:01:43.9013130Z stp                    16384  1 bridge
2025-07-02T08:01:43.9013403Z llc                    16384  2 bridge,stp
2025-07-02T08:01:43.9013679Z overlay               167936  0
2025-07-02T08:01:43.9013923Z tls                   139264  0
2025-07-02T08:01:43.9014162Z nls_ascii              16384  1
2025-07-02T08:01:43.9014408Z nls_cp437              20480  1
2025-07-02T08:01:43.9014644Z vfat                   24576  1
2025-07-02T08:01:43.9014895Z fat                    86016  1 vfat
2025-07-02T08:01:43.9015151Z sunrpc                700416  1
2025-07-02T08:01:43.9015396Z i8042                  45056  0
2025-07-02T08:01:43.9015650Z serio                  28672  3 i8042
2025-07-02T08:01:43.9015915Z ena                   180224  0
2025-07-02T08:01:43.9016153Z button                 24576  0
2025-07-02T08:01:43.9016587Z ghash_clmulni_intel    16384  0
2025-07-02T08:01:43.9016847Z sch_fq_codel           20480  17
2025-07-02T08:01:43.9017097Z fuse                  184320  1
2025-07-02T08:01:43.9017339Z dm_mod                188416  0
2025-07-02T08:01:43.9017577Z loop                   36864  0
2025-07-02T08:01:43.9017824Z configfs               57344  1
2025-07-02T08:01:43.9018065Z dmi_sysfs              20480  0
2025-07-02T08:01:43.9018313Z crc32_pclmul           16384  0
2025-07-02T08:01:43.9018558Z crc32c_intel           24576  0
2025-07-02T08:01:43.9018812Z efivarfs               24576  1
2025-07-02T08:01:43.9019056Z + modinfo nvidia
2025-07-02T08:01:43.9028515Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-07-02T08:01:43.9029123Z import_ns:      DMA_BUF
2025-07-02T08:01:43.9029408Z alias:          char-major-195-*
2025-07-02T08:01:43.9029676Z version:        570.133.07
2025-07-02T08:01:43.9029914Z supported:      external
2025-07-02T08:01:43.9030158Z license:        Dual MIT/GPL
2025-07-02T08:01:43.9030464Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-07-02T08:01:43.9030792Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-07-02T08:01:43.9031148Z srcversion:     49515739FD8F721A3F2F714
2025-07-02T08:01:43.9031541Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-07-02T08:01:43.9031971Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-07-02T08:01:43.9032303Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-07-02T08:01:43.9032601Z depends:        i2c-core,drm
2025-07-02T08:01:43.9032847Z retpoline:      Y
2025-07-02T08:01:43.9033052Z name:           nvidia
2025-07-02T08:01:43.9033402Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-07-02T08:01:43.9033858Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-07-02T08:01:43.9034420Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-07-02T08:01:43.9034835Z parm:           NVreg_ResmanDebugLevel:int
2025-07-02T08:01:43.9035152Z parm:           NVreg_RmLogonRC:int
2025-07-02T08:01:43.9035447Z parm:           NVreg_ModifyDeviceFiles:int
2025-07-02T08:01:43.9035752Z parm:           NVreg_DeviceFileUID:int
2025-07-02T08:01:43.9036047Z parm:           NVreg_DeviceFileGID:int
2025-07-02T08:01:43.9036341Z parm:           NVreg_DeviceFileMode:int
2025-07-02T08:01:43.9036695Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-07-02T08:01:43.9037075Z parm:           NVreg_UsePageAttributeTable:int
2025-07-02T08:01:43.9037402Z parm:           NVreg_EnablePCIeGen3:int
2025-07-02T08:01:43.9037690Z parm:           NVreg_EnableMSI:int
2025-07-02T08:01:43.9037993Z parm:           NVreg_EnableStreamMemOPs:int
2025-07-02T08:01:43.9038347Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-07-02T08:01:43.9038744Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-07-02T08:01:43.9039125Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-07-02T08:01:43.9039528Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-07-02T08:01:43.9039936Z parm:           NVreg_DynamicPowerManagement:int
2025-07-02T08:01:43.9040344Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-07-02T08:01:43.9040749Z parm:           NVreg_EnableGpuFirmware:int
2025-07-02T08:01:43.9041070Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-07-02T08:01:43.9041436Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-07-02T08:01:43.9041808Z parm:           NVreg_EnableUserNUMAManagement:int
2025-07-02T08:01:43.9042139Z parm:           NVreg_MemoryPoolSize:int
2025-07-02T08:01:43.9042458Z parm:           NVreg_KMallocHeapMaxSize:int
2025-07-02T08:01:43.9042776Z parm:           NVreg_VMallocHeapMaxSize:int
2025-07-02T08:01:43.9043094Z parm:           NVreg_IgnoreMMIOCheck:int
2025-07-02T08:01:43.9043397Z parm:           NVreg_NvLinkDisable:int
2025-07-02T08:01:43.9043742Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-07-02T08:01:43.9044089Z parm:           NVreg_RegisterPCIDriver:int
2025-07-02T08:01:43.9044498Z parm:           NVreg_EnableResizableBar:int
2025-07-02T08:01:43.9044824Z parm:           NVreg_EnableDbgBreakpoint:int
2025-07-02T08:01:43.9045155Z parm:           NVreg_EnableNonblockingOpen:int
2025-07-02T08:01:43.9045483Z parm:           NVreg_RegistryDwords:charp
2025-07-02T08:01:43.9045985Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-07-02T08:01:43.9046315Z parm:           NVreg_RmMsg:charp
2025-07-02T08:01:43.9046591Z parm:           NVreg_GpuBlacklist:charp
2025-07-02T08:01:43.9046917Z parm:           NVreg_TemporaryFilePath:charp
2025-07-02T08:01:43.9057256Z parm:           NVreg_ExcludedGpus:charp
2025-07-02T08:01:43.9057696Z parm:           NVreg_DmaRemapPeerMmio:int
2025-07-02T08:01:43.9058166Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-07-02T08:01:43.9058629Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-07-02T08:01:43.9058972Z parm:           NVreg_ImexChannelCount:int
2025-07-02T08:01:43.9059281Z parm:           NVreg_CreateImexChannel0:int
2025-07-02T08:01:43.9059624Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-07-02T08:01:43.9059955Z parm:           rm_firmware_active:charp
2025-07-02T08:01:43.9060234Z + HAS_NVIDIA_DRIVER=0
2025-07-02T08:01:43.9060470Z ++ command -v nvidia-smi
2025-07-02T08:01:43.9060716Z + '[' -x /usr/bin/nvidia-smi ']'
2025-07-02T08:01:43.9060960Z + set +e
2025-07-02T08:01:43.9061255Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-07-02T08:01:45.7351780Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-07-02T08:01:45.7352129Z + NVIDIA_SMI_STATUS=0
2025-07-02T08:01:45.7352373Z + '[' 0 -ne 0 ']'
2025-07-02T08:01:45.7352586Z + '[' 570.133.07 '!=' 570.133.07 ']'
2025-07-02T08:01:45.7352855Z + HAS_NVIDIA_DRIVER=1
2025-07-02T08:01:45.7353577Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation'
2025-07-02T08:01:45.7354051Z + set -e
2025-07-02T08:01:45.7354239Z + '[' 1 -eq 0 ']'
2025-07-02T08:01:45.7354629Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation
2025-07-02T08:01:45.7355103Z + post_install_nvidia_driver_common
2025-07-02T08:01:45.7358470Z + sudo modprobe nvidia
2025-07-02T08:01:45.8448616Z + echo 'After installing NVIDIA driver'
2025-07-02T08:01:45.8449079Z + lspci
2025-07-02T08:01:45.8449411Z After installing NVIDIA driver
2025-07-02T08:01:45.8575998Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-07-02T08:01:45.8576558Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-07-02T08:01:45.8577186Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-07-02T08:01:45.8577771Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-07-02T08:01:45.8578344Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-07-02T08:01:45.8578936Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-07-02T08:01:45.8579487Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-07-02T08:01:45.8580040Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-07-02T08:01:45.8580489Z + lsmod
2025-07-02T08:01:45.8618517Z Module                  Size  Used by
2025-07-02T08:01:45.8619135Z nvidia_uvm           1884160  0
2025-07-02T08:01:45.8619520Z nvidia              11583488  1 nvidia_uvm
2025-07-02T08:01:45.8619836Z drm                   602112  1 nvidia
2025-07-02T08:01:45.8620144Z drm_panel_orientation_quirks    32768  1 drm
2025-07-02T08:01:45.8620449Z backlight              24576  1 drm
2025-07-02T08:01:45.8620736Z i2c_core              110592  2 nvidia,drm
2025-07-02T08:01:45.8621021Z xt_conntrack           16384  1
2025-07-02T08:01:45.8621280Z nft_chain_nat          16384  3
2025-07-02T08:01:45.8621532Z xt_MASQUERADE          20480  1
2025-07-02T08:01:45.8621841Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-07-02T08:01:45.8622166Z nf_conntrack_netlink    57344  0
2025-07-02T08:01:45.8622567Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-07-02T08:01:45.8623271Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-07-02T08:01:45.8623575Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-07-02T08:01:45.8623865Z xfrm_user              57344  1
2025-07-02T08:01:45.8624125Z xfrm_algo              16384  1 xfrm_user
2025-07-02T08:01:45.8624408Z xt_addrtype            16384  2
2025-07-02T08:01:45.8624658Z nft_compat             20480  4
2025-07-02T08:01:45.8624965Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-07-02T08:01:45.8625365Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-07-02T08:01:45.8625738Z br_netfilter           36864  0
2025-07-02T08:01:45.8626012Z bridge                323584  1 br_netfilter
2025-07-02T08:01:45.8626299Z stp                    16384  1 bridge
2025-07-02T08:01:45.8626580Z llc                    16384  2 bridge,stp
2025-07-02T08:01:45.8626852Z overlay               167936  0
2025-07-02T08:01:45.8627110Z tls                   139264  0
2025-07-02T08:01:45.8627350Z nls_ascii              16384  1
2025-07-02T08:01:45.8627595Z nls_cp437              20480  1
2025-07-02T08:01:45.8627833Z vfat                   24576  1
2025-07-02T08:01:45.8628078Z fat                    86016  1 vfat
2025-07-02T08:01:45.8628340Z sunrpc                700416  1
2025-07-02T08:01:45.8628581Z i8042                  45056  0
2025-07-02T08:01:45.8628830Z serio                  28672  3 i8042
2025-07-02T08:01:45.8629088Z ena                   180224  0
2025-07-02T08:01:45.8629344Z button                 24576  0
2025-07-02T08:01:45.8629587Z ghash_clmulni_intel    16384  0
2025-07-02T08:01:45.8629845Z sch_fq_codel           20480  17
2025-07-02T08:01:45.8630099Z fuse                  184320  1
2025-07-02T08:01:45.8630498Z dm_mod                188416  0
2025-07-02T08:01:45.8630738Z loop                   36864  0
2025-07-02T08:01:45.8630985Z configfs               57344  1
2025-07-02T08:01:45.8631224Z dmi_sysfs              20480  0
2025-07-02T08:01:45.8631482Z crc32_pclmul           16384  0
2025-07-02T08:01:45.8631734Z crc32c_intel           24576  0
2025-07-02T08:01:45.8631975Z efivarfs               24576  1
2025-07-02T08:01:45.8632229Z + modinfo nvidia
2025-07-02T08:01:45.8641241Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-07-02T08:01:45.8641847Z import_ns:      DMA_BUF
2025-07-02T08:01:45.8642140Z alias:          char-major-195-*
2025-07-02T08:01:45.8642398Z version:        570.133.07
2025-07-02T08:01:45.8642641Z supported:      external
2025-07-02T08:01:45.8642882Z license:        Dual MIT/GPL
2025-07-02T08:01:45.8643163Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-07-02T08:01:45.8643489Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-07-02T08:01:45.8643862Z srcversion:     49515739FD8F721A3F2F714
2025-07-02T08:01:45.8644166Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-07-02T08:01:45.8644496Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-07-02T08:01:45.8644819Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-07-02T08:01:45.8645123Z depends:        i2c-core,drm
2025-07-02T08:01:45.8645366Z retpoline:      Y
2025-07-02T08:01:45.8645796Z name:           nvidia
2025-07-02T08:01:45.8646324Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-07-02T08:01:45.8646833Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-07-02T08:01:45.8647269Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-07-02T08:01:45.8647729Z parm:           NVreg_ResmanDebugLevel:int
2025-07-02T08:01:45.8648144Z parm:           NVreg_RmLogonRC:int
2025-07-02T08:01:45.8648535Z parm:           NVreg_ModifyDeviceFiles:int
2025-07-02T08:01:45.8648904Z parm:           NVreg_DeviceFileUID:int
2025-07-02T08:01:45.8649205Z parm:           NVreg_DeviceFileGID:int
2025-07-02T08:01:45.8649495Z parm:           NVreg_DeviceFileMode:int
2025-07-02T08:01:45.8649857Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-07-02T08:01:45.8650389Z parm:           NVreg_UsePageAttributeTable:int
2025-07-02T08:01:45.8650783Z parm:           NVreg_EnablePCIeGen3:int
2025-07-02T08:01:45.8651069Z parm:           NVreg_EnableMSI:int
2025-07-02T08:01:45.8651369Z parm:           NVreg_EnableStreamMemOPs:int
2025-07-02T08:01:45.8651714Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-07-02T08:01:45.8652110Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-07-02T08:01:45.8652483Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-07-02T08:01:45.8652884Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-07-02T08:01:45.8653286Z parm:           NVreg_DynamicPowerManagement:int
2025-07-02T08:01:45.8653693Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-07-02T08:01:45.8654149Z parm:           NVreg_EnableGpuFirmware:int
2025-07-02T08:01:45.8654472Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-07-02T08:01:45.8654835Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-07-02T08:01:45.8655214Z parm:           NVreg_EnableUserNUMAManagement:int
2025-07-02T08:01:45.8655543Z parm:           NVreg_MemoryPoolSize:int
2025-07-02T08:01:45.8655861Z parm:           NVreg_KMallocHeapMaxSize:int
2025-07-02T08:01:45.8656178Z parm:           NVreg_VMallocHeapMaxSize:int
2025-07-02T08:01:45.8656497Z parm:           NVreg_IgnoreMMIOCheck:int
2025-07-02T08:01:45.8656797Z parm:           NVreg_NvLinkDisable:int
2025-07-02T08:01:45.8657136Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-07-02T08:01:45.8657484Z parm:           NVreg_RegisterPCIDriver:int
2025-07-02T08:01:45.8657807Z parm:           NVreg_EnableResizableBar:int
2025-07-02T08:01:45.8658137Z parm:           NVreg_EnableDbgBreakpoint:int
2025-07-02T08:01:45.8658631Z parm:           NVreg_EnableNonblockingOpen:int
2025-07-02T08:01:45.8658963Z parm:           NVreg_RegistryDwords:charp
2025-07-02T08:01:45.8659291Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-07-02T08:01:45.8659620Z parm:           NVreg_RmMsg:charp
2025-07-02T08:01:45.8659893Z parm:           NVreg_GpuBlacklist:charp
2025-07-02T08:01:45.8660211Z parm:           NVreg_TemporaryFilePath:charp
2025-07-02T08:01:45.8660522Z parm:           NVreg_ExcludedGpus:charp
2025-07-02T08:01:45.8660834Z parm:           NVreg_DmaRemapPeerMmio:int
2025-07-02T08:01:45.8661153Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-07-02T08:01:45.8661507Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-07-02T08:01:45.8661848Z parm:           NVreg_ImexChannelCount:int
2025-07-02T08:01:45.8662191Z parm:           NVreg_CreateImexChannel0:int
2025-07-02T08:01:45.8662525Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-07-02T08:01:45.8662856Z parm:           rm_firmware_active:charp
2025-07-02T08:01:45.8663124Z + set +e
2025-07-02T08:01:45.8663313Z + nvidia-smi
2025-07-02T08:01:47.2724003Z Wed Jul  2 08:01:47 2025       
2025-07-02T08:01:47.2724502Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:47.2725178Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-07-02T08:01:47.2725662Z |-----------------------------------------+------------------------+----------------------+
2025-07-02T08:01:47.2726157Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-07-02T08:01:47.2726685Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-07-02T08:01:47.2727104Z |                                         |                        |               MIG M. |
2025-07-02T08:01:47.2727434Z |=========================================+========================+======================|
2025-07-02T08:01:47.2788216Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-07-02T08:01:47.2788831Z |  0%   31C    P0             63W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-07-02T08:01:47.2789605Z |                                         |                        |                  N/A |
2025-07-02T08:01:47.2790143Z +-----------------------------------------+------------------------+----------------------+
2025-07-02T08:01:47.2790681Z                                                                                          
2025-07-02T08:01:47.2791213Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:47.2791803Z | Processes:                                                                              |
2025-07-02T08:01:47.2792244Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-07-02T08:01:47.2792646Z |        ID   ID                                                               Usage      |
2025-07-02T08:01:47.2793121Z |=========================================================================================|
2025-07-02T08:01:47.2793687Z |  No running processes found                                                             |
2025-07-02T08:01:47.2794341Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:47.6887517Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-07-02T08:01:49.0980893Z NVIDIA A10G
2025-07-02T08:01:49.3668439Z + NVIDIA_SMI_STATUS=0
2025-07-02T08:01:49.3668790Z + '[' 0 -eq 0 ']'
2025-07-02T08:01:49.3669111Z + echo 'INFO: Ignoring allowed status 0'
2025-07-02T08:01:49.3669492Z + set -e
2025-07-02T08:01:49.3669772Z INFO: Ignoring allowed status 0
2025-07-02T08:01:49.3678089Z == Installing nvidia container toolkit for amzn2023 ==
2025-07-02T08:01:49.3683918Z + sudo yum install -y yum-utils
2025-07-02T08:01:49.7743600Z Last metadata expiration check: 0:00:53 ago on Wed Jul  2 08:00:56 2025.
2025-07-02T08:01:49.7990695Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-07-02T08:01:49.8467482Z Dependencies resolved.
2025-07-02T08:01:49.8698203Z Nothing to do.
2025-07-02T08:01:49.8698493Z Complete!
2025-07-02T08:01:49.9115813Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-07-02T08:01:49.9116422Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-07-02T08:01:49.9117277Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-07-02T08:01:50.2513845Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-07-02T08:01:50.2959812Z + sudo yum install -y nvidia-docker2 nvidia-container-toolkit-1.16.2 libnvidia-container-tools-1.16.2 libnvidia-container1-1.16.2 nvidia-container-toolkit-base-1.16.2
2025-07-02T08:01:50.8290109Z nvidia-container-toolkit                         19 kB/s | 833  B     00:00    
2025-07-02T08:01:50.8538633Z Package nvidia-docker2-2.14.0-1.noarch is already installed.
2025-07-02T08:01:50.9032463Z Dependencies resolved.
2025-07-02T08:01:50.9256109Z ================================================================================
2025-07-02T08:01:50.9256622Z  Package                       Arch   Version    Repository                Size
2025-07-02T08:01:50.9257485Z ================================================================================
2025-07-02T08:01:50.9257859Z Downgrading:
2025-07-02T08:01:50.9258233Z  libnvidia-container-tools     x86_64 1.16.2-1   nvidia-container-toolkit  39 k
2025-07-02T08:01:50.9258787Z  libnvidia-container1          x86_64 1.16.2-1   nvidia-container-toolkit 1.0 M
2025-07-02T08:01:50.9259332Z  nvidia-container-toolkit      x86_64 1.16.2-1   nvidia-container-toolkit 1.2 M
2025-07-02T08:01:50.9259912Z  nvidia-container-toolkit-base x86_64 1.16.2-1   nvidia-container-toolkit 5.6 M
2025-07-02T08:01:50.9260257Z 
2025-07-02T08:01:50.9260350Z Transaction Summary
2025-07-02T08:01:50.9260623Z ================================================================================
2025-07-02T08:01:50.9260927Z Downgrade  4 Packages
2025-07-02T08:01:50.9261082Z 
2025-07-02T08:01:50.9261512Z Total download size: 7.8 M
2025-07-02T08:01:50.9261825Z Downloading Packages:
2025-07-02T08:01:50.9466858Z (1/4): libnvidia-container-tools-1.16.2-1.x86_6 2.0 MB/s |  39 kB     00:00    
2025-07-02T08:01:50.9576019Z (2/4): libnvidia-container1-1.16.2-1.x86_64.rpm  33 MB/s | 1.0 MB     00:00    
2025-07-02T08:01:50.9742742Z (3/4): nvidia-container-toolkit-1.16.2-1.x86_64  27 MB/s | 1.2 MB     00:00    
2025-07-02T08:01:51.0072608Z (4/4): nvidia-container-toolkit-base-1.16.2-1.x  93 MB/s | 5.6 MB     00:00    
2025-07-02T08:01:51.0082859Z --------------------------------------------------------------------------------
2025-07-02T08:01:51.0085502Z Total                                            96 MB/s | 7.8 MB     00:00     
2025-07-02T08:01:51.0087945Z Running transaction check
2025-07-02T08:01:51.0202367Z Transaction check succeeded.
2025-07-02T08:01:51.0202663Z Running transaction test
2025-07-02T08:01:51.0612843Z Transaction test succeeded.
2025-07-02T08:01:51.0615427Z Running transaction
2025-07-02T08:01:51.6292166Z   Preparing        :                                                        1/1 
2025-07-02T08:01:51.7192272Z   Downgrading      : nvidia-container-toolkit-base-1.16.2-1.x86_64          1/8 
2025-07-02T08:01:51.7235033Z   Downgrading      : libnvidia-container1-1.16.2-1.x86_64                   2/8 
2025-07-02T08:01:51.7525989Z   Running scriptlet: libnvidia-container1-1.16.2-1.x86_64                   2/8 
2025-07-02T08:01:51.8598704Z   Downgrading      : libnvidia-container-tools-1.16.2-1.x86_64              3/8 
2025-07-02T08:01:51.8640432Z   Downgrading      : nvidia-container-toolkit-1.16.2-1.x86_64               4/8 
2025-07-02T08:01:51.8836451Z   Running scriptlet: nvidia-container-toolkit-1.16.2-1.x86_64               4/8 
2025-07-02T08:01:51.8837415Z   Cleanup          : nvidia-container-toolkit-1.17.8-1.x86_64               5/8 
2025-07-02T08:01:51.8959067Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               5/8 
2025-07-02T08:01:51.8997389Z   Cleanup          : libnvidia-container-tools-1.17.8-1.x86_64              6/8 
2025-07-02T08:01:51.8998445Z   Cleanup          : libnvidia-container1-1.17.8-1.x86_64                   7/8 
2025-07-02T08:01:51.9258552Z   Running scriptlet: libnvidia-container1-1.17.8-1.x86_64                   7/8 
2025-07-02T08:01:51.9294812Z   Cleanup          : nvidia-container-toolkit-base-1.17.8-1.x86_64          8/8 
2025-07-02T08:01:51.9913135Z   Running scriptlet: nvidia-container-toolkit-1.16.2-1.x86_64               8/8 
2025-07-02T08:01:52.1719941Z   Running scriptlet: nvidia-container-toolkit-base-1.17.8-1.x86_64          8/8 
2025-07-02T08:01:52.1720558Z   Verifying        : libnvidia-container-tools-1.16.2-1.x86_64              1/8 
2025-07-02T08:01:52.1721094Z   Verifying        : libnvidia-container-tools-1.17.8-1.x86_64              2/8 
2025-07-02T08:01:52.1721661Z   Verifying        : libnvidia-container1-1.16.2-1.x86_64                   3/8 
2025-07-02T08:01:52.1722183Z   Verifying        : libnvidia-container1-1.17.8-1.x86_64                   4/8 
2025-07-02T08:01:52.1722765Z   Verifying        : nvidia-container-toolkit-1.16.2-1.x86_64               5/8 
2025-07-02T08:01:52.1723282Z   Verifying        : nvidia-container-toolkit-1.17.8-1.x86_64               6/8 
2025-07-02T08:01:52.1723798Z   Verifying        : nvidia-container-toolkit-base-1.16.2-1.x86_64          7/8 
2025-07-02T08:01:52.3612995Z   Verifying        : nvidia-container-toolkit-base-1.17.8-1.x86_64          8/8 
2025-07-02T08:01:52.3613359Z 
2025-07-02T08:01:52.3613455Z Downgraded:
2025-07-02T08:01:52.3613809Z   libnvidia-container-tools-1.16.2-1.x86_64                                     
2025-07-02T08:01:52.3614360Z   libnvidia-container1-1.16.2-1.x86_64                                          
2025-07-02T08:01:52.3614906Z   nvidia-container-toolkit-1.16.2-1.x86_64                                      
2025-07-02T08:01:52.3615473Z   nvidia-container-toolkit-base-1.16.2-1.x86_64                                 
2025-07-02T08:01:52.3615806Z 
2025-07-02T08:01:52.3616151Z Complete!
2025-07-02T08:01:52.4112232Z + sudo systemctl restart docker
2025-07-02T08:01:56.7785738Z Wed Jul  2 08:01:56 2025       
2025-07-02T08:01:56.7786286Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:56.7786994Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-07-02T08:01:56.7787676Z |-----------------------------------------+------------------------+----------------------+
2025-07-02T08:01:56.7788374Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-07-02T08:01:56.7789099Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-07-02T08:01:56.7789729Z |                                         |                        |               MIG M. |
2025-07-02T08:01:56.7790188Z |=========================================+========================+======================|
2025-07-02T08:01:56.7873307Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-07-02T08:01:56.7873920Z |  0%   31C    P0             63W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-07-02T08:01:56.7874456Z |                                         |                        |                  N/A |
2025-07-02T08:01:56.7874995Z +-----------------------------------------+------------------------+----------------------+
2025-07-02T08:01:56.7875530Z                                                                                          
2025-07-02T08:01:56.7876066Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:56.7876663Z | Processes:                                                                              |
2025-07-02T08:01:56.7877633Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-07-02T08:01:56.7878222Z |        ID   ID                                                               Usage      |
2025-07-02T08:01:56.7878704Z |=========================================================================================|
2025-07-02T08:01:56.7879291Z |  No running processes found                                                             |
2025-07-02T08:01:56.7879949Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:01:56.9528522Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-07-02T08:01:57.2108554Z 3.13: Pulling from docker/library/python
2025-07-02T08:01:57.3086708Z c19952135643: Pulling fs layer
2025-07-02T08:01:57.3087029Z 7bbf972c6c2f: Pulling fs layer
2025-07-02T08:01:57.3087305Z 900e2c02f17f: Pulling fs layer
2025-07-02T08:01:57.3087564Z abe9c1abe6f3: Pulling fs layer
2025-07-02T08:01:57.3087838Z 562e9f67c041: Pulling fs layer
2025-07-02T08:01:57.3088091Z 8ae8ebad5c0e: Pulling fs layer
2025-07-02T08:01:57.3088356Z 5b1a73f6734a: Pulling fs layer
2025-07-02T08:01:57.3088605Z abe9c1abe6f3: Waiting
2025-07-02T08:01:57.3088845Z 5b1a73f6734a: Waiting
2025-07-02T08:01:57.3089059Z 562e9f67c041: Waiting
2025-07-02T08:01:57.3089277Z 8ae8ebad5c0e: Waiting
2025-07-02T08:01:57.4371939Z 7bbf972c6c2f: Verifying Checksum
2025-07-02T08:01:57.4372391Z 7bbf972c6c2f: Download complete
2025-07-02T08:01:57.4743256Z c19952135643: Verifying Checksum
2025-07-02T08:01:57.4743581Z c19952135643: Download complete
2025-07-02T08:01:57.5504886Z 562e9f67c041: Verifying Checksum
2025-07-02T08:01:57.5505341Z 562e9f67c041: Download complete
2025-07-02T08:01:57.5613113Z 900e2c02f17f: Verifying Checksum
2025-07-02T08:01:57.5613490Z 900e2c02f17f: Download complete
2025-07-02T08:01:57.5978241Z 5b1a73f6734a: Verifying Checksum
2025-07-02T08:01:57.5978565Z 5b1a73f6734a: Download complete
2025-07-02T08:01:57.6865387Z 8ae8ebad5c0e: Verifying Checksum
2025-07-02T08:01:57.6865835Z 8ae8ebad5c0e: Download complete
2025-07-02T08:01:58.0895354Z abe9c1abe6f3: Verifying Checksum
2025-07-02T08:01:58.0895677Z abe9c1abe6f3: Download complete
2025-07-02T08:01:59.4505784Z c19952135643: Pull complete
2025-07-02T08:02:00.0403287Z 7bbf972c6c2f: Pull complete
2025-07-02T08:02:02.3095943Z 900e2c02f17f: Pull complete
2025-07-02T08:02:07.8291220Z abe9c1abe6f3: Pull complete
2025-07-02T08:02:08.1084887Z 562e9f67c041: Pull complete
2025-07-02T08:02:08.8290045Z 8ae8ebad5c0e: Pull complete
2025-07-02T08:02:08.8517006Z 5b1a73f6734a: Pull complete
2025-07-02T08:02:08.8654027Z Digest: sha256:0aafd87e2438b9db15ffc16e86eed18224c5bc10ab71671f379cae240f3c044e
2025-07-02T08:02:08.8695564Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-07-02T08:02:15.3732118Z Wed Jul  2 08:02:15 2025       
2025-07-02T08:02:15.3732647Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:02:15.3733275Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-07-02T08:02:15.3733757Z |-----------------------------------------+------------------------+----------------------+
2025-07-02T08:02:15.3734264Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-07-02T08:02:15.3734783Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-07-02T08:02:15.3735215Z |                                         |                        |               MIG M. |
2025-07-02T08:02:15.3735539Z |=========================================+========================+======================|
2025-07-02T08:02:15.3876423Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-07-02T08:02:15.3877616Z |  0%   29C    P8             10W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-07-02T08:02:15.3878922Z |                                         |                        |                  N/A |
2025-07-02T08:02:15.3879765Z +-----------------------------------------+------------------------+----------------------+
2025-07-02T08:02:15.3880765Z                                                                                          
2025-07-02T08:02:15.3881863Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:02:15.3883012Z | Processes:                                                                              |
2025-07-02T08:02:15.3883875Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-07-02T08:02:15.3884467Z |        ID   ID                                                               Usage      |
2025-07-02T08:02:15.3884827Z |=========================================================================================|
2025-07-02T08:02:15.3886065Z |  No running processes found                                                             |
2025-07-02T08:02:15.3886714Z +-----------------------------------------------------------------------------------------+
2025-07-02T08:02:16.4690199Z Command completed after 1 attempt(s).
2025-07-02T08:02:16.4783630Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-07-02T08:02:16.4784143Z # ignore expansion of "docker ps -q" since it could be empty
2025-07-02T08:02:16.4784533Z # shellcheck disable=SC2046
2025-07-02T08:02:16.4784837Z docker stop $(docker ps -q) || true
2025-07-02T08:02:16.4785145Z # Prune all of the docker images
2025-07-02T08:02:16.4785440Z docker system prune -af
2025-07-02T08:02:16.4800466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:02:16.4800814Z env:
2025-07-02T08:02:16.4801051Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:16.4801359Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:16.4801602Z   PR_NUMBER: 3030
2025-07-02T08:02:16.4811341Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:16.4821408Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:16.4821948Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:16.4822457Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:16.4822887Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:16.4823211Z ##[endgroup]
2025-07-02T08:02:16.5144737Z "docker stop" requires at least 1 argument.
2025-07-02T08:02:16.5145219Z See 'docker stop --help'.
2025-07-02T08:02:16.5145441Z 
2025-07-02T08:02:16.5145897Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-07-02T08:02:16.5146234Z 
2025-07-02T08:02:16.5146381Z Stop one or more running containers
2025-07-02T08:02:17.6503215Z Deleted Images:
2025-07-02T08:02:17.6503563Z untagged: public.ecr.aws/docker/library/python:3.13
2025-07-02T08:02:17.6504496Z untagged: public.ecr.aws/docker/library/python@sha256:0aafd87e2438b9db15ffc16e86eed18224c5bc10ab71671f379cae240f3c044e
2025-07-02T08:02:17.6505410Z deleted: sha256:1c1dd43eba265a3a394d7e086c38e8d5178da79845a2b359c28e874b84203cd5
2025-07-02T08:02:17.6506103Z deleted: sha256:7acb659b4e64cd7eb70ed67a49d0c8c665bca20224761effc5306eee484ae33e
2025-07-02T08:02:17.6507051Z deleted: sha256:bc71b0c47d114ae84eed955d2923d9a41a50ca3720c9e10af268db04b14a2600
2025-07-02T08:02:17.6507722Z deleted: sha256:c9f66cd00ed8198b27716ec7ac287a14a5808ba07dabc6c20c6a37ea59437fd0
2025-07-02T08:02:17.6508386Z deleted: sha256:c8ff078627a28137ceeacafc6534e3c8465615a03b754f372fa72f9717056686
2025-07-02T08:02:17.6508982Z deleted: sha256:2b272f78bdc21f8fc3d51044a4e203d83a14eefa2c02e9d2da7e3e80bfacc3dc
2025-07-02T08:02:17.6509651Z deleted: sha256:6172bbf7631fd63986c3c7b3299d7f2e10ba8ed469da2cefb52df901607ddda1
2025-07-02T08:02:17.6510301Z deleted: sha256:385eb556134e17ef23cfd59b33526dddab1776f743b3713ff9a08a484ece4aaa
2025-07-02T08:02:17.6510649Z 
2025-07-02T08:02:17.6824469Z Total reclaimed space: 1.018GB
2025-07-02T08:02:17.6907228Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-07-02T08:02:17.6907569Z with:
2025-07-02T08:02:17.6908243Z   github-secret: ***
2025-07-02T08:02:17.6908883Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-07-02T08:02:17.6909581Z   activate-with-label: false
2025-07-02T08:02:17.6909838Z   label: with-ssh
2025-07-02T08:02:17.6910072Z   remove-existing-keys: true
2025-07-02T08:02:17.6910323Z   fail-silently: true
2025-07-02T08:02:17.6910543Z env:
2025-07-02T08:02:17.6910777Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:17.6911093Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:17.6911331Z   PR_NUMBER: 3030
2025-07-02T08:02:17.6920828Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:17.6930943Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:17.6931486Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:17.6932116Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:17.6932541Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:17.6932890Z ##[endgroup]
2025-07-02T08:02:17.8058915Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-07-02T08:02:18.2112729Z Grabbing public ssh keys from https://github.com/vmoens.keys
2025-07-02T08:02:18.2786845Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh
2025-07-02T08:02:18.2802101Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys
2025-07-02T08:02:18.2847552Z Login using: ssh ec2-user@ec2-44-210-239-207.compute-1.amazonaws.com
2025-07-02T08:02:18.2848539Z All testing is done inside the container, to start an interactive session run:
2025-07-02T08:02:18.2849077Z    docker exec -it $(docker container ps --format '{{.ID}}') bash
2025-07-02T08:02:18.2992588Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-07-02T08:02:18.2992979Z with:
2025-07-02T08:02:18.2993185Z   repository: pytorch/rl
2025-07-02T08:02:18.2993423Z   ref: refs/pull/3030/merge
2025-07-02T08:02:18.2993663Z   path: pytorch/rl
2025-07-02T08:02:18.2993870Z   fetch-depth: 1
2025-07-02T08:02:18.2994195Z   token: ***
2025-07-02T08:02:18.2994397Z   ssh-strict: true
2025-07-02T08:02:18.2994613Z   ssh-user: git
2025-07-02T08:02:18.2994835Z   persist-credentials: true
2025-07-02T08:02:18.2995083Z   clean: true
2025-07-02T08:02:18.2995314Z   sparse-checkout-cone-mode: true
2025-07-02T08:02:18.2995581Z   fetch-tags: false
2025-07-02T08:02:18.2995804Z   show-progress: true
2025-07-02T08:02:18.2996020Z   lfs: false
2025-07-02T08:02:18.2996233Z   set-safe-directory: true
2025-07-02T08:02:18.2996463Z env:
2025-07-02T08:02:18.2996686Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:18.2996991Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:18.2997248Z   PR_NUMBER: 3030
2025-07-02T08:02:18.3006911Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:18.3017153Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:18.3017696Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:18.3018204Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:18.3018629Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:18.3018956Z ##[endgroup]
2025-07-02T08:02:18.4019207Z Syncing repository: pytorch/rl
2025-07-02T08:02:18.4028160Z ##[group]Getting Git version info
2025-07-02T08:02:18.4028584Z Working directory is '/home/ec2-user/actions-runner/_work/rl/rl/pytorch/rl'
2025-07-02T08:02:18.4055107Z [command]/usr/bin/git version
2025-07-02T08:02:18.4102180Z git version 2.47.1
2025-07-02T08:02:18.4129260Z ##[endgroup]
2025-07-02T08:02:18.4154127Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/285384c4-8538-4650-94b5-000d931275da' before making global git config changes
2025-07-02T08:02:18.4155517Z Adding repository directory to the temporary git global config as a safe directory
2025-07-02T08:02:18.4160311Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/rl/rl/pytorch/rl
2025-07-02T08:02:18.4200549Z ##[group]Initializing the repository
2025-07-02T08:02:18.4205909Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/rl/rl/pytorch/rl
2025-07-02T08:02:18.4253039Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-07-02T08:02:18.4253608Z hint: is subject to change. To configure the initial branch name to use in all
2025-07-02T08:02:18.4254131Z hint: of your new repositories, which will suppress this warning, call:
2025-07-02T08:02:18.4254506Z hint:
2025-07-02T08:02:18.4254780Z hint: 	git config --global init.defaultBranch <name>
2025-07-02T08:02:18.4255101Z hint:
2025-07-02T08:02:18.4255415Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-07-02T08:02:18.4255936Z hint: 'development'. The just-created branch can be renamed via this command:
2025-07-02T08:02:18.4256337Z hint:
2025-07-02T08:02:18.4256535Z hint: 	git branch -m <name>
2025-07-02T08:02:18.4256998Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/rl/rl/pytorch/rl/.git/
2025-07-02T08:02:18.4265754Z [command]/usr/bin/git remote add origin https://github.com/pytorch/rl
2025-07-02T08:02:18.4313430Z ##[endgroup]
2025-07-02T08:02:18.4313828Z ##[group]Disabling automatic garbage collection
2025-07-02T08:02:18.4317783Z [command]/usr/bin/git config --local gc.auto 0
2025-07-02T08:02:18.4352310Z ##[endgroup]
2025-07-02T08:02:18.4352678Z ##[group]Setting up auth
2025-07-02T08:02:18.4357949Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-07-02T08:02:18.4391916Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-07-02T08:02:18.4783895Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-07-02T08:02:18.4817916Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-07-02T08:02:18.5207009Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-07-02T08:02:18.5258501Z ##[endgroup]
2025-07-02T08:02:18.5258889Z ##[group]Fetching the repository
2025-07-02T08:02:18.5265872Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/pull/3030/merge:refs/remotes/pull/3030/merge
2025-07-02T08:02:19.3817443Z From https://github.com/pytorch/rl
2025-07-02T08:02:19.3817856Z  * [new ref]         refs/pull/3030/merge -> pull/3030/merge
2025-07-02T08:02:19.3845014Z ##[endgroup]
2025-07-02T08:02:19.3845958Z ##[group]Determining the checkout info
2025-07-02T08:02:19.3847975Z ##[endgroup]
2025-07-02T08:02:19.3852515Z [command]/usr/bin/git sparse-checkout disable
2025-07-02T08:02:19.3895268Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-07-02T08:02:19.3929230Z ##[group]Checking out the ref
2025-07-02T08:02:19.3932776Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/3030/merge
2025-07-02T08:02:19.5095763Z Note: switching to 'refs/remotes/pull/3030/merge'.
2025-07-02T08:02:19.5096061Z 
2025-07-02T08:02:19.5096268Z You are in 'detached HEAD' state. You can look around, make experimental
2025-07-02T08:02:19.5096769Z changes and commit them, and you can discard any commits you make in this
2025-07-02T08:02:19.5097264Z state without impacting any branches by switching back to a branch.
2025-07-02T08:02:19.5097561Z 
2025-07-02T08:02:19.5097756Z If you want to create a new branch to retain commits you create, you may
2025-07-02T08:02:19.5098229Z do so (now or later) by using -c with the switch command. Example:
2025-07-02T08:02:19.5098504Z 
2025-07-02T08:02:19.5098617Z   git switch -c <new-branch-name>
2025-07-02T08:02:19.5098802Z 
2025-07-02T08:02:19.5098912Z Or undo this operation with:
2025-07-02T08:02:19.5099080Z 
2025-07-02T08:02:19.5099166Z   git switch -
2025-07-02T08:02:19.5099299Z 
2025-07-02T08:02:19.5099530Z Turn off this advice by setting config variable advice.detachedHead to false
2025-07-02T08:02:19.5099856Z 
2025-07-02T08:02:19.5100225Z HEAD is now at 2e8d943 Merge 995ff0d9fa6d4cdbe0120a55642106276bf80342 into 773c366c7b29f5ea26de0215119fb15055714525
2025-07-02T08:02:19.5111799Z ##[endgroup]
2025-07-02T08:02:19.5158473Z [command]/usr/bin/git log -1 --format=%H
2025-07-02T08:02:19.5189462Z 2e8d943922590c2356bc44a7af6da18a8d68787e
2025-07-02T08:02:19.5416132Z Prepare all required actions
2025-07-02T08:02:19.5416564Z Getting action download info
2025-07-02T08:02:19.6673631Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-07-02T08:02:19.8302532Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-07-02T08:02:19.8302900Z with:
2025-07-02T08:02:19.8303116Z   use-custom-docker-registry: true
2025-07-02T08:02:19.8303449Z   docker-image-name: pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8303787Z   docker-build-dir: .ci/docker
2025-07-02T08:02:19.8304260Z   working-directory: pytorch/rl
2025-07-02T08:02:19.8304533Z   docker-build-script: ./build.sh
2025-07-02T08:02:19.8304893Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:19.8305256Z   force-push: false
2025-07-02T08:02:19.8305474Z env:
2025-07-02T08:02:19.8305708Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8306022Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:19.8306294Z   PR_NUMBER: 3030
2025-07-02T08:02:19.8315981Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:19.8325855Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:19.8326393Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:19.8326893Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:19.8327314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:19.8327642Z ##[endgroup]
2025-07-02T08:02:19.8371300Z ##[group]Run set -ex
2025-07-02T08:02:19.8371586Z set -ex
2025-07-02T08:02:19.8371971Z 
2025-07-02T08:02:19.8372329Z # If the docker build directory or the build script doesn't exist, the action will
2025-07-02T08:02:19.8372929Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-07-02T08:02:19.8373444Z # job could then download the pre-built image as usual
2025-07-02T08:02:19.8374071Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-07-02T08:02:19.8374646Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8374947Z else
2025-07-02T08:02:19.8375185Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8375586Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8376004Z 
2025-07-02T08:02:19.8376500Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-07-02T08:02:19.8377075Z   exit 0
2025-07-02T08:02:19.8377272Z fi
2025-07-02T08:02:19.8377464Z 
2025-07-02T08:02:19.8377775Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-07-02T08:02:19.8378324Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-07-02T08:02:19.8378807Z   # use it as it is, but first let's extract the tag
2025-07-02T08:02:19.8379237Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-07-02T08:02:19.8379713Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8380159Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8380519Z else
2025-07-02T08:02:19.8380768Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-07-02T08:02:19.8381113Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-07-02T08:02:19.8381477Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-07-02T08:02:19.8381775Z   fi
2025-07-02T08:02:19.8382190Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-07-02T08:02:19.8382744Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8383316Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8383960Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:02:19.8384340Z fi
2025-07-02T08:02:19.8393358Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:02:19.8393694Z env:
2025-07-02T08:02:19.8393924Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8394230Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:19.8394469Z   PR_NUMBER: 3030
2025-07-02T08:02:19.8404236Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:19.8414414Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:19.8414953Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:19.8415476Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:19.8415904Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:19.8416234Z   REPO_NAME: rl
2025-07-02T08:02:19.8416502Z   DOCKER_IMAGE_NAME: pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8416826Z   DOCKER_BUILD_DIR: .ci/docker
2025-07-02T08:02:19.8417097Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-07-02T08:02:19.8417446Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:19.8417815Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-07-02T08:02:19.8418080Z   CUSTOM_TAG_PREFIX: 
2025-07-02T08:02:19.8418318Z ##[endgroup]
2025-07-02T08:02:19.8452554Z + [[ -d .ci/docker ]]
2025-07-02T08:02:19.8452800Z + echo skip=true
2025-07-02T08:02:19.8453058Z + echo docker-image=pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8453665Z + echo 'Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the rl repo...'
2025-07-02T08:02:19.8454194Z + exit 0
2025-07-02T08:02:19.8454616Z Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the rl repo...
2025-07-02T08:02:19.8498393Z ##[group]Run set -eux
2025-07-02T08:02:19.8498810Z set -eux
2025-07-02T08:02:19.8499591Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-07-02T08:02:19.8509158Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:02:19.8509502Z env:
2025-07-02T08:02:19.8509729Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:19.8510054Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:19.8510285Z   PR_NUMBER: 3030
2025-07-02T08:02:19.8519965Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:19.8529776Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:19.8530324Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:19.8530891Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:19.8531314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:19.8531734Z ##[endgroup]
2025-07-02T08:02:19.8565055Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-07-02T08:02:19.8565724Z + jq --raw-output .SecretString
2025-07-02T08:02:19.8567446Z + jq -r .docker_hub_readonly_token
2025-07-02T08:02:19.8568535Z + docker login --username pytorchbot --password-stdin
2025-07-02T08:02:20.4423134Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-07-02T08:02:20.4423700Z Configure a credential helper to remove this warning. See
2025-07-02T08:02:20.4424230Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-07-02T08:02:20.4424939Z 
2025-07-02T08:02:20.4425066Z Login Succeeded
2025-07-02T08:02:20.4512909Z Prepare all required actions
2025-07-02T08:02:20.4552328Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-07-02T08:02:20.4552677Z with:
2025-07-02T08:02:20.4552923Z   docker-image: pytorch/almalinux-builder:cpu
2025-07-02T08:02:20.4553320Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:20.4553673Z env:
2025-07-02T08:02:20.4553899Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:20.4554216Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:20.4554457Z   PR_NUMBER: 3030
2025-07-02T08:02:20.4563977Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:20.4573949Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:20.4574503Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:20.4590372Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:20.4591091Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:20.4591477Z ##[endgroup]
2025-07-02T08:02:20.4617925Z ##[group]Run set -x
2025-07-02T08:02:20.4618180Z set -x
2025-07-02T08:02:20.4618381Z set +e
2025-07-02T08:02:20.4618569Z 
2025-07-02T08:02:20.4618760Z login() {
2025-07-02T08:02:20.4619182Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-07-02T08:02:20.4619644Z }
2025-07-02T08:02:20.4619829Z 
2025-07-02T08:02:20.4620007Z retry () {
2025-07-02T08:02:20.4620251Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-07-02T08:02:20.4620523Z }
2025-07-02T08:02:20.4620704Z 
2025-07-02T08:02:20.4620907Z retry login "${DOCKER_REGISTRY}"
2025-07-02T08:02:20.4621177Z 
2025-07-02T08:02:20.4621605Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-07-02T08:02:20.4622206Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-07-02T08:02:20.4622550Z 
2025-07-02T08:02:20.4622727Z set -e
2025-07-02T08:02:20.4623029Z # ignore output since only exit code is used for conditional
2025-07-02T08:02:20.4623460Z # only pull docker image if it's not available locally
2025-07-02T08:02:20.4623942Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-07-02T08:02:20.4624387Z   retry docker pull "${DOCKER_IMAGE}"
2025-07-02T08:02:20.4624661Z fi
2025-07-02T08:02:20.4633509Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:02:20.4633845Z env:
2025-07-02T08:02:20.4634073Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:02:20.4634382Z   REPOSITORY: pytorch/rl
2025-07-02T08:02:20.4634626Z   PR_NUMBER: 3030
2025-07-02T08:02:20.4644175Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:02:20.4654297Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:02:20.4654851Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:02:20.4655352Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:02:20.4655762Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:02:20.4656183Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:20.4656525Z ##[endgroup]
2025-07-02T08:02:20.4691365Z + set +e
2025-07-02T08:02:20.4691716Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:20.4692198Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:20.4695914Z + aws ecr get-login-password --region us-east-1
2025-07-02T08:02:20.4696586Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-07-02T08:02:20.9826585Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-07-02T08:02:20.9827152Z Configure a credential helper to remove this warning. See
2025-07-02T08:02:20.9827715Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-07-02T08:02:20.9828083Z 
2025-07-02T08:02:20.9828205Z Login Succeeded
2025-07-02T08:02:20.9859303Z ++ docker manifest inspect pytorch/almalinux-builder:cpu
2025-07-02T08:02:20.9859948Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-07-02T08:02:21.2178563Z + IMAGE_SIZE=1396.334942817688
2025-07-02T08:02:21.2179043Z + echo 'Compressed size of image in MB: 1396.334942817688'
2025-07-02T08:02:21.2179485Z + set -e
2025-07-02T08:02:21.2179807Z Compressed size of image in MB: 1396.334942817688
2025-07-02T08:02:21.2180226Z + docker inspect --type=image pytorch/almalinux-builder:cpu
2025-07-02T08:02:21.2327545Z + retry docker pull pytorch/almalinux-builder:cpu
2025-07-02T08:02:21.2328043Z + docker pull pytorch/almalinux-builder:cpu
2025-07-02T08:02:21.3976167Z cpu: Pulling from pytorch/almalinux-builder
2025-07-02T08:02:21.3976622Z 19877a9af8e3: Pulling fs layer
2025-07-02T08:02:21.3976994Z 886003f6ab94: Pulling fs layer
2025-07-02T08:02:21.3977339Z 160b6baf3053: Pulling fs layer
2025-07-02T08:02:21.3977603Z 5fa358c72929: Pulling fs layer
2025-07-02T08:02:21.3977858Z e840ad4f61c2: Pulling fs layer
2025-07-02T08:02:21.3978198Z 6ad9b9bd0605: Pulling fs layer
2025-07-02T08:02:21.3978448Z 032a0a0f4dac: Pulling fs layer
2025-07-02T08:02:21.3978775Z 4f4fb700ef54: Pulling fs layer
2025-07-02T08:02:21.3979074Z 1c84a8623287: Pulling fs layer
2025-07-02T08:02:21.3979339Z ae227d43e36f: Pulling fs layer
2025-07-02T08:02:21.3979687Z a878d18a5734: Pulling fs layer
2025-07-02T08:02:21.3979949Z 66cdfb06ed2c: Pulling fs layer
2025-07-02T08:02:21.3980205Z 52845009cb74: Pulling fs layer
2025-07-02T08:02:21.3980521Z 5cb0a24bb686: Pulling fs layer
2025-07-02T08:02:21.3980784Z 818a5af48b7d: Pulling fs layer
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2025-07-02T08:03:06.2056534Z Digest: sha256:363e2387632a14190ba972bd9ea516e4c88e80e7089b14e7b658b63e9dbb3dc7
2025-07-02T08:03:06.2489605Z Status: Downloaded newer image for pytorch/almalinux-builder:cpu
2025-07-02T08:03:06.2758441Z docker.io/pytorch/almalinux-builder:cpu
2025-07-02T08:03:06.2919465Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-02T08:03:06.2920321Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-02T08:03:06.2932125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:03:06.2932465Z env:
2025-07-02T08:03:06.2932703Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:06.2933009Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:06.2933244Z   PR_NUMBER: 3030
2025-07-02T08:03:06.2942733Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:06.2952883Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:06.2953415Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:06.2953917Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:06.2954508Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:06.2954834Z ##[endgroup]
2025-07-02T08:03:06.3159614Z ##[group]Run set -ex
2025-07-02T08:03:06.3159888Z set -ex
2025-07-02T08:03:06.3160091Z {
2025-07-02T08:03:06.3160301Z   echo "#!/usr/bin/env bash";
2025-07-02T08:03:06.3160602Z   echo "set -eou pipefail";
2025-07-02T08:03:06.3161066Z   # shellcheck disable=SC2016
2025-07-02T08:03:06.3161393Z   echo 'eval "$(conda shell.bash hook)"';
2025-07-02T08:03:06.3161701Z   echo "set -x";
2025-07-02T08:03:06.3161957Z   echo "${SCRIPT}";
2025-07-02T08:03:06.3162223Z } > "${RUNNER_TEMP}/exec_script"
2025-07-02T08:03:06.3162544Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-07-02T08:03:06.3163128Z python3 "/home/ec2-user/actions-runner/_work/rl/rl/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-07-02T08:03:06.3171983Z shell: /usr/bin/bash -e {0}
2025-07-02T08:03:06.3172234Z env:
2025-07-02T08:03:06.3172465Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:06.3172806Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:06.3173050Z   PR_NUMBER: 3030
2025-07-02T08:03:06.3182812Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:06.3192779Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:06.3193325Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:06.3194913Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:06.3195345Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:06.3195906Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-07-02T08:03:06.3196202Z ##[endgroup]
2025-07-02T08:03:06.3225865Z + echo '#!/usr/bin/env bash'
2025-07-02T08:03:06.3226260Z + echo 'set -eou pipefail'
2025-07-02T08:03:06.3226545Z + echo 'eval "$(conda shell.bash hook)"'
2025-07-02T08:03:06.3226819Z + echo 'set -x'
2025-07-02T08:03:06.3227259Z + echo 'set -e
2025-07-02T08:03:06.3227543Z set -v
2025-07-02T08:03:06.3227801Z yum makecache
2025-07-02T08:03:06.3228138Z # Install Mesa and OpenGL Libraries:
2025-07-02T08:03:06.3228887Z yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
2025-07-02T08:03:06.3229609Z # Install DRI Drivers:
2025-07-02T08:03:06.3229945Z yum install -y mesa-dri-drivers
2025-07-02T08:03:06.3230347Z # Install Xvfb for Headless Environments:
2025-07-02T08:03:06.3230800Z yum install -y xorg-x11-server-Xvfb
2025-07-02T08:03:06.3231166Z # xhost +local:docker
2025-07-02T08:03:06.3231393Z # Xvfb :1 -screen 0 1024x768x24 &
2025-07-02T08:03:06.3231571Z 
2025-07-02T08:03:06.3231653Z root_dir="$(pwd)"
2025-07-02T08:03:06.3231872Z conda_dir="${root_dir}/conda"
2025-07-02T08:03:06.3232113Z env_dir="${root_dir}/env"
2025-07-02T08:03:06.3232336Z os=Linux
2025-07-02T08:03:06.3232440Z 
2025-07-02T08:03:06.3232530Z # 1. Install conda at ./conda
2025-07-02T08:03:06.3232786Z printf "* Installing conda\n"
2025-07-02T08:03:06.3233243Z wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
2025-07-02T08:03:06.3233749Z bash ./miniconda.sh -b -f -p "${conda_dir}"
2025-07-02T08:03:06.3234072Z eval "$(${conda_dir}/bin/conda shell.bash hook)"
2025-07-02T08:03:06.3234395Z printf "* Creating a test environment\n"
2025-07-02T08:03:06.3234718Z conda create --prefix "${env_dir}" -y python=3.9
2025-07-02T08:03:06.3235024Z printf "* Activating\n"
2025-07-02T08:03:06.3235261Z conda activate "${env_dir}"
2025-07-02T08:03:06.3235417Z 
2025-07-02T08:03:06.3235522Z # 2. upgrade pip, ninja and packaging
2025-07-02T08:03:06.3235842Z conda install anaconda::cmake -y
2025-07-02T08:03:06.3236113Z python3 -m pip install --upgrade pip
2025-07-02T08:03:06.3236507Z python3 -m pip install setuptools ninja packaging "pybind11[global]" -U
2025-07-02T08:03:06.3236811Z 
2025-07-02T08:03:06.3236898Z # 3. check python version
2025-07-02T08:03:06.3237134Z python3 --version
2025-07-02T08:03:06.3237261Z 
2025-07-02T08:03:06.3237349Z # 4. Check git version
2025-07-02T08:03:06.3237557Z git version
2025-07-02T08:03:06.3237666Z 
2025-07-02T08:03:06.3237756Z # 5. Install PyTorch
2025-07-02T08:03:06.3238125Z if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
2025-07-02T08:03:06.3238581Z   python3 -m pip install torch torchvision
2025-07-02T08:03:06.3238881Z   python3 -m pip install tensordict
2025-07-02T08:03:06.3239141Z else
2025-07-02T08:03:06.3239725Z   python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
2025-07-02T08:03:06.3240609Z   python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
2025-07-02T08:03:06.3241111Z fi
2025-07-02T08:03:06.3241207Z 
2025-07-02T08:03:06.3241285Z # 7. Install TorchRL
2025-07-02T08:03:06.3241511Z python3 setup.py develop
2025-07-02T08:03:06.3241666Z 
2025-07-02T08:03:06.3241761Z # 8. Install requirements
2025-07-02T08:03:06.3242142Z python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore
2025-07-02T08:03:06.3242485Z 
2025-07-02T08:03:06.3242863Z # 9. Set sanitize version
2025-07-02T08:03:06.3243452Z if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
2025-07-02T08:03:06.3244178Z   echo '\''::group::Enable version string sanitization'\''
2025-07-02T08:03:06.3245057Z   # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
2025-07-02T08:03:06.3246009Z   # See docs/source/conf.py for details
2025-07-02T08:03:06.3246410Z   export RL_SANITIZE_VERSION_STR_IN_DOCS=1
2025-07-02T08:03:06.3246710Z   echo '\''::endgroup::'\''
2025-07-02T08:03:06.3246938Z fi
2025-07-02T08:03:06.3247038Z 
2025-07-02T08:03:06.3247135Z # 10. Test torchrl installation
2025-07-02T08:03:06.3247385Z mkdir _tmp
2025-07-02T08:03:06.3247566Z cd _tmp
2025-07-02T08:03:06.3247977Z PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
2025-07-02T08:03:06.3248604Z print(DMControlEnv('\''cheetah'\'', '\''run'\'', from_pixels=True).reset())"""
2025-07-02T08:03:06.3248988Z cd ..
2025-07-02T08:03:06.3249090Z 
2025-07-02T08:03:06.3249173Z # 11. Build doc
2025-07-02T08:03:06.3249511Z export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
2025-07-02T08:03:06.3249934Z export BATCHED_PIPE_TIMEOUT=180
2025-07-02T08:03:06.3250191Z cd ./docs
2025-07-02T08:03:06.3250768Z # timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
2025-07-02T08:03:06.3251657Z # bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
2025-07-02T08:03:06.3252506Z PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
2025-07-02T08:03:06.3253012Z cd ..
2025-07-02T08:03:06.3253116Z 
2025-07-02T08:03:06.3253244Z cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
2025-07-02T08:03:06.3253575Z echo $(ls "${RUNNER_ARTIFACT_DIR}")
2025-07-02T08:03:06.3253839Z if [[ true ]]; then
2025-07-02T08:03:06.3254086Z   cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
2025-07-02T08:03:06.3254365Z fi
2025-07-02T08:03:06.3254535Z '
2025-07-02T08:03:06.3254805Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-07-02T08:03:06.3255425Z + python3 /home/ec2-user/actions-runner/_work/rl/rl/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-07-02T08:03:29.7518254Z Running command: 
2025-07-02T08:03:29.7523622Z         docker run             -e PR_NUMBER             -e RUNNER_ARTIFACT_DIR=/artifacts             -e RUNNER_DOCS_DIR=/docs             -e RUNNER_TEST_RESULTS_DIR=/test-results             --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_16019399423"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0             --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all             -v "/home/ec2-user/actions-runner/_work/rl/rl/pytorch/rl:/pytorch/rl"             -v "/home/ec2-user/actions-runner/_work/rl/rl/test-infra:/test-infra"             -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts"             -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs"             -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results"             -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec"             -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9edb74d8-efab-418a-abfe-2c9478893bab":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9edb74d8-efab-418a-abfe-2c9478893bab"             -w /pytorch/rl             "pytorch/almalinux-builder:cpu"
2025-07-02T08:03:29.7528496Z         
2025-07-02T08:03:29.7528816Z 2eae8f124d1c48eb60f31b902ab11a46402e0d75b24dc490e8f77f46e5b657d6
2025-07-02T08:03:29.7529446Z Running command: docker exec -t 2eae8f124d1c48eb60f31b902ab11a46402e0d75b24dc490e8f77f46e5b657d6 /exec
2025-07-02T08:03:29.7530003Z + set -e
2025-07-02T08:03:29.7530421Z + set -v
2025-07-02T08:03:29.7530605Z yum makecache
2025-07-02T08:03:29.7530808Z + yum makecache
2025-07-02T08:03:29.7531120Z AlmaLinux 8 - BaseOS     [===                 ] ---  B/s |   0  B     --:-- ETA
2025-07-02T08:03:29.7531566Z AlmaLinux 8 - BaseOS                             45 kB/s | 3.8 kB     00:00    
2025-07-02T08:03:29.7532007Z AlmaLinux 8 - AppStr     [===                 ] ---  B/s |   0  B     --:-- ETA
2025-07-02T08:03:29.7532455Z AlmaLinux 8 - AppStream                          67 kB/s | 4.3 kB     00:00    
2025-07-02T08:03:29.7532908Z AlmaLinux 8 - Extras     [   ===              ] ---  B/s |   0  B     --:-- ETA
2025-07-02T08:03:29.7533350Z AlmaLinux 8 - Extras                             51 kB/s | 3.3 kB     00:00    
2025-07-02T08:03:29.7533792Z Extra Packages for E     [      ===           ] ---  B/s |   0  B     --:-- ETA
2025-07-02T08:03:29.7534280Z Extra Packages for Enterprise Linux 8 - x86_64  214 kB/s |  34 kB     00:00    
2025-07-02T08:03:29.7534692Z Metadata cache created.
2025-07-02T08:03:29.7534949Z # Install Mesa and OpenGL Libraries:
2025-07-02T08:03:29.7535461Z yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
2025-07-02T08:03:29.7536199Z + yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
2025-07-02T08:03:29.7536829Z Last metadata expiration check: 0:00:01 ago on Wed 02 Jul 2025 08:03:27 AM UTC.
2025-07-02T08:03:29.7537241Z Dependencies resolved.
2025-07-02T08:03:29.7537514Z ==============================================================================================
2025-07-02T08:03:29.7537929Z  Package                       Arch    Version                                Repo        Size
2025-07-02T08:03:29.7538335Z ==============================================================================================
2025-07-02T08:03:29.7538633Z Installing:
2025-07-02T08:03:29.7539273Z  egl-utils                    (B x86_64  8.4.0-5.20181118git1830dcb.el8         appstream   21 k
2025-07-02T08:03:29.7539904Z  freeglut                     (B x86_64  3.0.0-9.el8                            appstream  190 k
2025-07-02T08:03:29.7540488Z  glfw                         (B x86_64  1:3.3-3.el8                            epel        95 k
2025-07-02T08:03:29.7541087Z  mesa-libEGL                  (B x86_64  23.1.4-4.el8_10.alma.1                 appstream  148 k
2025-07-02T08:03:29.7541713Z  mesa-libGL                   (B x86_64  23.1.4-4.el8_10.alma.1                 appstream  187 k
2025-07-02T08:03:29.7542365Z  mesa-libGL-devel             (B x86_64  23.1.4-4.el8_10.alma.1                 appstream   52 k
2025-07-02T08:03:29.7543015Z  mesa-libGLU                  (B x86_64  9.0.0-15.el8                           appstream  185 k
2025-07-02T08:03:29.7543666Z  python39-pip                 (B noarch  20.2.4-9.module_el8.10.0+3765+2f9a457d appstream  1.9 M
2025-07-02T08:03:29.7544122Z Installing dependencies:
2025-07-02T08:03:29.7544658Z  annobin                      (B x86_64  11.13-2.el8                            appstream  971 k
2025-07-02T08:03:29.7545303Z  cpp                          (B x86_64  8.5.0-26.el8_10.alma.1                 baseos      10 M
2025-07-02T08:03:29.7546129Z  gcc                          (B x86_64  8.5.0-26.el8_10.alma.1                 baseos      23 M
2025-07-02T08:03:29.7546761Z  gcc-plugin-annobin           (B x86_64  8.5.0-26.el8_10.alma.1                 baseos      35 k
2025-07-02T08:03:29.7547576Z  gdb-headless                 (B x86_64  8.2-20.el8                             appstream  3.7 M
2025-07-02T08:03:29.7548193Z  hwdata                       (B noarch  0.314-8.22.el8                         baseos     1.8 M
2025-07-02T08:03:29.7548776Z  isl                          (B x86_64  0.16.1-6.el8                           appstream  841 k
2025-07-02T08:03:29.7549452Z  libICE                       (B x86_64  1.0.9-15.el8                           appstream   73 k
2025-07-02T08:03:29.7550035Z  libX11                       (B x86_64  1.6.8-9.el8_10                         appstream  611 k
2025-07-02T08:03:29.7550661Z  libX11-common                (B noarch  1.6.8-9.el8_10                         appstream  157 k
2025-07-02T08:03:29.7551296Z  libX11-devel                 (B x86_64  1.6.8-9.el8_10                         appstream  976 k
2025-07-02T08:03:29.7552007Z  libX11-xcb                   (B x86_64  1.6.8-9.el8_10                         appstream   14 k
2025-07-02T08:03:29.7552684Z  libXau                       (B x86_64  1.0.9-3.el8                            appstream   37 k
2025-07-02T08:03:29.7553290Z  libXau-devel                 (B x86_64  1.0.9-3.el8                            appstream   20 k
2025-07-02T08:03:29.7553893Z  libXext                      (B x86_64  1.3.4-1.el8                            appstream   45 k
2025-07-02T08:03:29.7554488Z  libXfixes                    (B x86_64  5.0.3-7.el8                            appstream   25 k
2025-07-02T08:03:29.7555079Z  libXi                        (B x86_64  1.7.10-1.el8                           appstream   48 k
2025-07-02T08:03:29.7555677Z  libXxf86vm                   (B x86_64  1.1.4-9.el8                            appstream   19 k
2025-07-02T08:03:29.7556275Z  libdrm                       (B x86_64  2.4.115-2.el8                          appstream  163 k
2025-07-02T08:03:29.7556892Z  libdrm-devel                 (B x86_64  2.4.115-2.el8                          appstream  183 k
2025-07-02T08:03:29.7557503Z  libglvnd                     (B x86_64  1:1.3.4-2.el8                          appstream  126 k
2025-07-02T08:03:29.7558146Z  libglvnd-core-devel          (B x86_64  1:1.3.4-2.el8                          appstream   24 k
2025-07-02T08:03:29.7558814Z  libglvnd-devel               (B x86_64  1:1.3.4-2.el8                          appstream  184 k
2025-07-02T08:03:29.7559441Z  libglvnd-egl                 (B x86_64  1:1.3.4-2.el8                          appstream   48 k
2025-07-02T08:03:29.7560124Z  libglvnd-gles                (B x86_64  1:1.3.4-2.el8                          appstream   39 k
2025-07-02T08:03:29.7560749Z  libglvnd-glx                 (B x86_64  1:1.3.4-2.el8                          appstream  136 k
2025-07-02T08:03:29.7561395Z  libglvnd-opengl              (B x86_64  1:1.3.4-2.el8                          appstream   46 k
2025-07-02T08:03:29.7562043Z  libpciaccess                 (B x86_64  0.14-1.el8                             baseos      32 k
2025-07-02T08:03:29.7562690Z  libpciaccess-devel           (B x86_64  0.14-1.el8                             appstream   19 k
2025-07-02T08:03:29.7563367Z  libwayland-client            (B x86_64  1.21.0-1.el8                           appstream   40 k
2025-07-02T08:03:29.7564030Z  libwayland-server            (B x86_64  1.21.0-1.el8                           appstream   47 k
2025-07-02T08:03:29.7564657Z  libxcb                       (B x86_64  1.13.1-1.el8                           appstream  231 k
2025-07-02T08:03:29.7565264Z  libxcb-devel                 (B x86_64  1.13.1-1.el8                           appstream  1.1 M
2025-07-02T08:03:29.7565888Z  libxshmfence                 (B x86_64  1.3-2.el8                              appstream   13 k
2025-07-02T08:03:29.7566637Z  mesa-libgbm                  (B x86_64  23.1.4-4.el8_10.alma.1                 appstream   60 k
2025-07-02T08:03:29.7567284Z  mesa-libglapi                (B x86_64  23.1.4-4.el8_10.alma.1                 appstream   67 k
2025-07-02T08:03:29.7567929Z  mpdecimal                    (B x86_64  2.5.1-3.el8                            appstream   92 k
2025-07-02T08:03:29.7568626Z  python3.11                   (B x86_64  3.11.11-1.el8_10                       appstream   30 k
2025-07-02T08:03:35.0444801Z ##[error]The operation was canceled.
2025-07-02T08:03:35.0497162Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1
2025-07-02T08:03:35.0497616Z with:
2025-07-02T08:03:35.0497904Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.0498258Z   fail-on-empty: false
2025-07-02T08:03:35.0498480Z env:
2025-07-02T08:03:35.0498704Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.0499018Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.0499255Z   PR_NUMBER: 3030
2025-07-02T08:03:35.0508775Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.0518582Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.0519133Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.0519794Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.0520215Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.0520550Z ##[endgroup]
2025-07-02T08:03:35.1126031Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-07-02T08:03:35.1126584Z # Only do these steps if we actually want to upload an artifact
2025-07-02T08:03:35.1127004Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-07-02T08:03:35.1127492Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-07-02T08:03:35.1128057Z   # attempt to just grab whatever is in there and scoop it all up
2025-07-02T08:03:35.1128511Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-07-02T08:03:35.1128908Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-07-02T08:03:35.1129223Z   fi
2025-07-02T08:03:35.1129490Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-07-02T08:03:35.1129937Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-07-02T08:03:35.1130310Z   fi
2025-07-02T08:03:35.1130640Z fi
2025-07-02T08:03:35.1130832Z 
2025-07-02T08:03:35.1131034Z upload_docs=0
2025-07-02T08:03:35.1131400Z # Check if there are files in the documentation folder to upload, note that
2025-07-02T08:03:35.1131830Z # empty folders do not count
2025-07-02T08:03:35.1132253Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-07-02T08:03:35.1132862Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-07-02T08:03:35.1133312Z   # upload will probably not work correctly
2025-07-02T08:03:35.1133635Z   upload_docs=1
2025-07-02T08:03:35.1133863Z fi
2025-07-02T08:03:35.1134152Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-07-02T08:03:35.1148620Z shell: /usr/bin/bash -e {0}
2025-07-02T08:03:35.1148874Z env:
2025-07-02T08:03:35.1149102Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.1149434Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.1149663Z   PR_NUMBER: 3030
2025-07-02T08:03:35.1159373Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.1169388Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.1169924Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.1170509Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.1170937Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.1171286Z   UPLOAD_ARTIFACT_NAME: docs
2025-07-02T08:03:35.1171527Z ##[endgroup]
2025-07-02T08:03:35.1303635Z ##[group]Run actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02
2025-07-02T08:03:35.1304070Z with:
2025-07-02T08:03:35.1304260Z   name: docs
2025-07-02T08:03:35.1304550Z   path: /home/ec2-user/actions-runner/_work/_temp/artifacts/
2025-07-02T08:03:35.1304928Z   if-no-files-found: warn
2025-07-02T08:03:35.1305176Z   compression-level: 6
2025-07-02T08:03:35.1305411Z   overwrite: false
2025-07-02T08:03:35.1305634Z   include-hidden-files: false
2025-07-02T08:03:35.1305894Z env:
2025-07-02T08:03:35.1306116Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.1306433Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.1306671Z   PR_NUMBER: 3030
2025-07-02T08:03:35.1316233Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.1326198Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.1326727Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.1327230Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.1327756Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.1328077Z ##[endgroup]
2025-07-02T08:03:35.3884392Z ##[warning]No files were found with the provided path: /home/ec2-user/actions-runner/_work/_temp/artifacts/. No artifacts will be uploaded.
2025-07-02T08:03:35.4002667Z Prepare all required actions
2025-07-02T08:03:35.4041511Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-07-02T08:03:35.4041844Z with:
2025-07-02T08:03:35.4042022Z env:
2025-07-02T08:03:35.4042256Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.4042564Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.4042808Z   PR_NUMBER: 3030
2025-07-02T08:03:35.4052885Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.4062972Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.4063514Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.4064030Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.4064449Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.4064785Z ##[endgroup]
2025-07-02T08:03:35.4104285Z ##[group]Run set -eou pipefail
2025-07-02T08:03:35.4104603Z set -eou pipefail
2025-07-02T08:03:35.4104861Z 
2025-07-02T08:03:35.4105360Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-07-02T08:03:35.4105790Z for _ in $(seq 1440); do
2025-07-02T08:03:35.4106094Z     # Break if no ssh session exists anymore
2025-07-02T08:03:35.4106422Z     if [ "$(who)" = "" ]; then
2025-07-02T08:03:35.4106698Z       break
2025-07-02T08:03:35.4106909Z     fi
2025-07-02T08:03:35.4107122Z     echo "."
2025-07-02T08:03:35.4107342Z     sleep 5
2025-07-02T08:03:35.4107560Z done
2025-07-02T08:03:35.4117267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:03:35.4117609Z env:
2025-07-02T08:03:35.4117838Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.4118155Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.4118391Z   PR_NUMBER: 3030
2025-07-02T08:03:35.4127916Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.4138016Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.4138690Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.4139202Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.4139638Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.4139966Z ##[endgroup]
2025-07-02T08:03:35.4171972Z Holding runner for 2 hours until all ssh sessions have logged out
2025-07-02T08:03:35.4268036Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-07-02T08:03:35.4268565Z # ignore expansion of "docker ps -q" since it could be empty
2025-07-02T08:03:35.4268961Z # shellcheck disable=SC2046
2025-07-02T08:03:35.4269269Z docker stop $(docker ps -q) || true
2025-07-02T08:03:35.4269595Z # Prune all of the docker images
2025-07-02T08:03:35.4269898Z docker system prune -af
2025-07-02T08:03:35.4278745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:03:35.4279102Z env:
2025-07-02T08:03:35.4279344Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:35.4279654Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:35.4279904Z   PR_NUMBER: 3030
2025-07-02T08:03:35.4289622Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:35.4299791Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:35.4300337Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:35.4300846Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:35.4301277Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:35.4301602Z ##[endgroup]
2025-07-02T08:03:36.0507933Z 2eae8f124d1c
2025-07-02T08:03:36.0823864Z Deleted Containers:
2025-07-02T08:03:36.0824263Z 2eae8f124d1c48eb60f31b902ab11a46402e0d75b24dc490e8f77f46e5b657d6
2025-07-02T08:03:36.0824567Z 
2025-07-02T08:03:40.0304012Z Deleted Images:
2025-07-02T08:03:40.0304436Z untagged: pytorch/almalinux-builder:cpu
2025-07-02T08:03:40.0305174Z untagged: pytorch/almalinux-builder@sha256:363e2387632a14190ba972bd9ea516e4c88e80e7089b14e7b658b63e9dbb3dc7
2025-07-02T08:03:40.0305901Z deleted: sha256:97b379664dfba87c41d4589f8e1a474f4aea9e0a3793ab6d2890766609301d0e
2025-07-02T08:03:40.0306495Z deleted: sha256:78a7a7e68b93e4061e2d22da4af4864d928f8698dbc371ae3140bea37bf4e4d7
2025-07-02T08:03:40.0307074Z deleted: sha256:30edf0b26b2184091469b77e5895ba8071172b961ea9dd8dafc577f4af87b58a
2025-07-02T08:03:40.0307671Z deleted: sha256:fe7afda925c14feab3f8f310159f0da912a3ea1ec99dd4c762ae4a874fadf632
2025-07-02T08:03:40.0308267Z deleted: sha256:de854a3c4061152d50e22f1338cd83a08002fb751cc44efc69597acd55656aac
2025-07-02T08:03:40.0308866Z deleted: sha256:d4ae7d6cfde4a27a240cb1a7d9f4e30067df1e4211a085e6e33a369a75543162
2025-07-02T08:03:40.0309451Z deleted: sha256:2425b112894da1ae7f86e7f3c57877db77565c48f5a25ec52954ec8103acb463
2025-07-02T08:03:40.0310046Z deleted: sha256:d3340d80ef459aaabfd7103b752e8b49e90e711fab1bc69ee5be0deb3ba8e42f
2025-07-02T08:03:40.0310650Z deleted: sha256:7e5a8f1b263e9fb111513e7b415b4437dbfcf8016fcce7b98816a74e8f56b4c0
2025-07-02T08:03:40.0311478Z deleted: sha256:b5618d07c4da58aa321f67da182b8c586c2ad15d6260aa714e9cedc7fd2e1772
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2025-07-02T08:03:40.0329270Z Total reclaimed space: 3.646GB
2025-07-02T08:03:40.0396996Z ##[group]Run set +e
2025-07-02T08:03:40.0397262Z set +e
2025-07-02T08:03:40.0397492Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-07-02T08:03:40.0397872Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-07-02T08:03:40.0398196Z else
2025-07-02T08:03:40.0398454Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-07-02T08:03:40.0398756Z fi
2025-07-02T08:03:40.0398953Z set -e
2025-07-02T08:03:40.0409648Z shell: /usr/bin/bash -e {0}
2025-07-02T08:03:40.0409889Z env:
2025-07-02T08:03:40.0410109Z   DOCKER_IMAGE: pytorch/almalinux-builder:cpu
2025-07-02T08:03:40.0410555Z   REPOSITORY: pytorch/rl
2025-07-02T08:03:40.0410831Z   PR_NUMBER: 3030
2025-07-02T08:03:40.0420594Z   SCRIPT: set -e
set -v
yum makecache
# Install Mesa and OpenGL Libraries:
yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL python39-pip
# Install DRI Drivers:
yum install -y mesa-dri-drivers
# Install Xvfb for Headless Environments:
yum install -y xorg-x11-server-Xvfb
# xhost +local:docker
# Xvfb :1 -screen 0 1024x768x24 &

root_dir="$(pwd)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"
os=Linux

# 1. Install conda at ./conda
printf "* Installing conda\n"
wget -O miniconda.sh "http://repo.continuum.io/miniconda/Miniconda3-latest-${os}-x86_64.sh"
bash ./miniconda.sh -b -f -p "${conda_dir}"
eval "$(${conda_dir}/bin/conda shell.bash hook)"
printf "* Creating a test environment\n"
conda create --prefix "${env_dir}" -y python=3.9
printf "* Activating\n"
conda activate "${env_dir}"

# 2. upgrade pip, ninja and packaging
conda install anaconda::cmake -y
python3 -m pip install --upgrade pip
python3 -m pip install setuptools ninja packaging "pybind11[global]" -U

# 3. check python version
python3 --version

# 4. Check git version
git version

# 5. Install PyTorch
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  python3 -m pip install torch torchvision
  python3 -m pip install tensordict
else
  python3 -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu -U --quiet --root-user-action=ignore
  python3 -m pip install git+https://github.com/pytorch/tensordict.git --quiet --root-user-action=ignore
fi

# 7. Install TorchRL
python3 setup.py develop

# 8. Install requirements
python3 -m pip install -r docs/requirements.txt --quiet --root-user-action=ignore

# 9. Set sanitize version
if [[ pull_request == push && (branch == tag || (branch == branch && 3030/merge == release/*)) ]]; then
  echo '::group::Enable version string sanitization'
  # This environment variable just has to exist and must not be empty. The actual value is arbitrary.
  # See docs/source/conf.py for details
  export RL_SANITIZE_VERSION_STR_IN_DOCS=1
  echo '::endgroup::'
fi

# 10. Test torchrl installation
mkdir _tmp
cd _tmp
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl python3 -c """from torchrl.envs.libs.dm_control import DMControlEnv
print(DMControlEnv('cheetah', 'run', from_pixels=True).reset())"""
cd ..

# 11. Build doc
export MAX_IDLE_COUNT=180 # Max 180 secs before killing an unresponsive collector
export BATCHED_PIPE_TIMEOUT=180
cd ./docs
# timeout 7m bash -ic "MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
# bash -ic "PYOPENGL_PLATFORM=egl MUJOCO_GL=egl sphinx-build ./source _local_build" || code=$?; if [[ $code -ne 124 && $code -ne 0 ]]; then exit $code; fi
PYOPENGL_PLATFORM=egl MUJOCO_GL=egl TORCHRL_CONSOLE_STREAM=stdout sphinx-build ./source _local_build -v -j 4
cd ..

cp -r docs/_local_build/* "${RUNNER_ARTIFACT_DIR}"
echo $(ls "${RUNNER_ARTIFACT_DIR}")
if [[ true ]]; then
  cp -r docs/_local_build/* "${RUNNER_DOCS_DIR}"
fi

2025-07-02T08:03:40.0430691Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-07-02T08:03:40.0431224Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-07-02T08:03:40.0431846Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-07-02T08:03:40.0432265Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-07-02T08:03:40.0432591Z   NO_SUDO: false
2025-07-02T08:03:40.0432807Z ##[endgroup]
2025-07-02T08:03:40.2262128Z Post job cleanup.
2025-07-02T08:03:40.3376497Z Post job cleanup.
2025-07-02T08:03:40.4361749Z [command]/usr/bin/git version
2025-07-02T08:03:40.4411281Z git version 2.47.1
2025-07-02T08:03:40.4457232Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3d593c4d-d885-4cbd-92a1-eae803373c94' before making global git config changes
2025-07-02T08:03:40.4458106Z Adding repository directory to the temporary git global config as a safe directory
2025-07-02T08:03:40.4463040Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/rl/rl/test-infra
2025-07-02T08:03:40.4506668Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-07-02T08:03:40.4544943Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-07-02T08:03:40.4943259Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-07-02T08:03:40.4972384Z http.https://github.com/.extraheader
2025-07-02T08:03:40.4985144Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-07-02T08:03:40.5023372Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-07-02T08:03:40.5509779Z A job completed hook has been configured by the self-hosted runner administrator
2025-07-02T08:03:40.5543227Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-07-02T08:03:40.5551884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-02T08:03:40.5552236Z ##[endgroup]
2025-07-02T08:03:40.5664772Z [!ALERT!] Swap in detected! [!ALERT!]
2025-07-02T08:03:51.5804740Z [!ALERT!] Swap out detected [!ALERT!]
2025-07-02T08:04:09.3544364Z Cleaning up orphan processes