CML-EC2-Runner #33
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name: CML-EC2-Runner | |
on: | |
workflow_dispatch: | |
jobs: | |
launch-runner: | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v3 | |
- uses: iterative/setup-cml@v1 | |
- name: Deploy runner on AWS EC2 | |
env: | |
REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }} | |
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
run: | | |
cml runner launch \ | |
--cloud=aws \ | |
--name=session-08 \ | |
--cloud-region=ap-south-1 \ | |
--cloud-type=g4dn.xlarge \ | |
--cloud-hdd-size=64 \ | |
--cloud-spot \ | |
--single \ | |
--labels=cml-gpu \ | |
--idle-timeout=100 | |
train-and-report: | |
runs-on: [self-hosted, cml-gpu] | |
needs: launch-runner | |
timeout-minutes: 20 | |
# runs-on: ubuntu-latest | |
steps: | |
- name: Verify EC2 Instance | |
run: | | |
echo "Checking instance information..." | |
# Check if we're on EC2 | |
TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600") | |
curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/instance-type | |
echo "Checking system resources..." | |
lscpu | |
free -h | |
df -h | |
nvidia-smi # This will show GPU if available | |
echo "Checking environment..." | |
env | grep AWS || true | |
hostname | |
whoami | |
pwd | |
- uses: actions/checkout@v4 | |
with: | |
fetch-depth: 1 | |
- name: Authenticate with AWS ECR | |
uses: aws-actions/configure-aws-credentials@v4 | |
with: | |
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
aws-region: ${{ secrets.AWS_REGION }} | |
- name: Nvidia check | |
run: | | |
nvidia-smi | |
- name: Install Docker | |
run: | | |
curl -fsSL https://get.docker.com -o get-docker.sh | |
sh get-docker.sh | |
- name: Login to Amazon ECR | |
id: login-ecr | |
uses: aws-actions/amazon-ecr-login@v2 | |
- name: Pull Docker image from ECR | |
run: | | |
docker pull ${{secrets.AWS_ECR_LOGIN_URI}}/${{ secrets.ECR_REPOSITORY_NAME }}:latest | |
ls -a | |
- name: Run DVC commands in container | |
run: | | |
docker run --rm --gpus=all \ | |
-e AWS_ACCESS_KEY_ID=${{ secrets.AWS_ACCESS_KEY_ID }} \ | |
-e AWS_SECRET_ACCESS_KEY=${{ secrets.AWS_SECRET_ACCESS_KEY }} \ | |
-e AWS_DEFAULT_REGION=${{ secrets.AWS_REGION }} \ | |
${{ secrets.AWS_ECR_LOGIN_URI }}/${{ secrets.ECR_REPOSITORY_NAME }}:latest \ | |
/bin/bash -c " | |
dvc pull -r myremote && \ | |
mkdir model_storage && \ | |
dvc repro -f | |
" | |
# # Wait a moment to ensure the container has started | |
# sleep 5 | |
# # Print logs from the container | |
# docker logs $CONTAINER_ID | |
# # Stop the container after retrieving logs | |
# docker stop $CONTAINER_ID | |
- name: Clean previous images and containers | |
run: | | |
docker system prune -f | |