fe6730ce72
- Central config with logging on startup - Hot reload support for GPU worker (docker-compose.gpu-dev.yml) - Quick deploy script (scripts/gpu-dev-deploy.sh) - GPU/CPU frame compatibility tests - CI/CD pipeline for GPU worker (.gitea/workflows/gpu-worker.yml) - Standardize GPU_PERSIST default to 0 across all modules Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
35 lines
923 B
Bash
Executable File
35 lines
923 B
Bash
Executable File
#!/bin/bash
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# Quick deploy to GPU node with hot reload
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# Usage: ./scripts/gpu-dev-deploy.sh
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set -e
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GPU_HOST="${GPU_HOST:-root@138.197.163.123}"
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REMOTE_DIR="/root/art-dag/celery"
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echo "=== GPU Dev Deploy ==="
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echo "Syncing code to $GPU_HOST..."
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# Sync code (excluding cache, git, __pycache__)
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rsync -avz --delete \
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--exclude '.git' \
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--exclude '__pycache__' \
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--exclude '*.pyc' \
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--exclude '.pytest_cache' \
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--exclude 'node_modules' \
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--exclude '.env' \
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./ "$GPU_HOST:$REMOTE_DIR/"
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echo "Restarting GPU worker..."
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ssh "$GPU_HOST" "docker kill \$(docker ps -q -f name=l1-gpu-worker) 2>/dev/null || true"
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echo "Waiting for new container..."
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sleep 10
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# Show new container logs
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ssh "$GPU_HOST" "docker logs --tail 30 \$(docker ps -q -f name=l1-gpu-worker)"
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echo ""
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echo "=== Deploy Complete ==="
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echo "Use 'ssh $GPU_HOST docker logs -f \$(docker ps -q -f name=l1-gpu-worker)' to follow logs"
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