gogo2/scripts/setup-pytorch.sh

#!/bin/bash
# Automatic PyTorch installation script
# Detects hardware and installs the appropriate PyTorch build
# Works with: NVIDIA (CUDA), AMD (ROCm), or CPU-only

set -e

echo "=================================================="
echo "  PyTorch Auto-Setup for Trading System"
echo "=================================================="
echo ""

# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color

# Detect GPU hardware
detect_hardware() {
    echo "Detecting GPU hardware..."
    
    # Check for NVIDIA GPU
    if command -v nvidia-smi &> /dev/null; then
        if nvidia-smi &> /dev/null; then
            echo -e "${GREEN}✓ NVIDIA GPU detected${NC}"
            CUDA_VERSION=$(nvidia-smi | grep "CUDA Version" | awk '{print $9}' | cut -d. -f1,2)
            echo "  CUDA Version: $CUDA_VERSION"
            GPU_TYPE="nvidia"
            return
        fi
    fi
    
    # Check for AMD GPU
    if lspci 2>/dev/null | grep -iE "VGA|3D|Display" | grep -iq "AMD\|ATI"; then
        echo -e "${GREEN}✓ AMD GPU detected${NC}"
        GPU_MODEL=$(lspci | grep -iE "VGA|3D|Display" | grep -i "AMD\|ATI" | head -1)
        echo "  $GPU_MODEL"
        
        # Check if ROCm is available
        if command -v rocm-smi &> /dev/null; then
            ROCM_VERSION=$(rocm-smi --version 2>/dev/null | grep "ROCm" | awk '{print $3}' || echo "unknown")
            echo "  ROCm installed: $ROCM_VERSION"
        else
            echo -e "${YELLOW}  ⚠ ROCm not detected - will install ROCm PyTorch anyway${NC}"
        fi
        
        GPU_TYPE="amd"
        return
    fi
    
    # No GPU detected
    echo -e "${YELLOW}⚠ No GPU detected - will use CPU-only build${NC}"
    GPU_TYPE="cpu"
}

# Check if PyTorch is already installed
check_existing_pytorch() {
    if python -c "import torch" 2>/dev/null; then
        TORCH_VERSION=$(python -c "import torch; print(torch.__version__)")
        GPU_AVAILABLE=$(python -c "import torch; print(torch.cuda.is_available())")
        
        echo ""
        echo "PyTorch is already installed:"
        echo "  Version: $TORCH_VERSION"
        echo "  GPU available: $GPU_AVAILABLE"
        echo ""
        
        read -p "Reinstall PyTorch? (y/N): " -n 1 -r
        echo
        if [[ ! $REPLY =~ ^[Yy]$ ]]; then
            echo "Keeping existing PyTorch installation"
            exit 0
        fi
        
        echo "Uninstalling existing PyTorch..."
        pip uninstall -y torch 2>/dev/null || true
    fi
}

# Install PyTorch based on hardware
install_pytorch() {
    echo ""
    echo "Installing PyTorch for $GPU_TYPE..."
    echo ""
    
    case $GPU_TYPE in
        nvidia)
            # Determine CUDA version to use
            if [[ "$CUDA_VERSION" == "12.1" ]] || [[ "$CUDA_VERSION" == "12.2" ]] || [[ "$CUDA_VERSION" == "12.3" ]]; then
                CUDA_BUILD="cu121"
            elif [[ "$CUDA_VERSION" == "12.4" ]] || [[ "$CUDA_VERSION" == "12.5" ]] || [[ "$CUDA_VERSION" == "12.6" ]]; then
                CUDA_BUILD="cu124"
            elif [[ "$CUDA_VERSION" == "11."* ]]; then
                CUDA_BUILD="cu118"
            else
                echo -e "${YELLOW}⚠ Unknown CUDA version, using CUDA 12.1 build${NC}"
                CUDA_BUILD="cu121"
            fi
            
            echo "Installing PyTorch with CUDA $CUDA_BUILD support..."
            pip install torch --index-url https://download.pytorch.org/whl/$CUDA_BUILD
            ;;
            
        amd)
            echo "Installing PyTorch with ROCm 6.2 support..."
            echo "(This works with RDNA 2, RDNA 3, and newer AMD GPUs)"
            pip install torch --index-url https://download.pytorch.org/whl/rocm6.2
            ;;
            
        cpu)
            echo "Installing CPU-only PyTorch..."
            pip install torch --index-url https://download.pytorch.org/whl/cpu
            ;;
    esac
}

# Verify installation
verify_installation() {
    echo ""
    echo "Verifying installation..."
    echo ""
    
    if ! python -c "import torch" 2>/dev/null; then
        echo -e "${RED}✗ PyTorch installation failed!${NC}"
        exit 1
    fi
    
    TORCH_VERSION=$(python -c "import torch; print(torch.__version__)")
    GPU_AVAILABLE=$(python -c "import torch; print(torch.cuda.is_available())")
    
    echo -e "${GREEN}✓ PyTorch installed successfully!${NC}"
    echo "  Version: $TORCH_VERSION"
    echo "  GPU available: $GPU_AVAILABLE"
    
    if [[ "$GPU_AVAILABLE" == "True" ]]; then
        DEVICE_NAME=$(python -c "import torch; print(torch.cuda.get_device_name(0))")
        DEVICE_COUNT=$(python -c "import torch; print(torch.cuda.device_count())")
        MEMORY_GB=$(python -c "import torch; print(f'{torch.cuda.get_device_properties(0).total_memory / 1024**3:.1f}')")
        
        echo -e "${GREEN}  Device: $DEVICE_NAME${NC}"
        echo "  Count: $DEVICE_COUNT"
        echo "  Memory: ${MEMORY_GB} GB"
        
        case $GPU_TYPE in
            nvidia)
                echo ""
                echo "🚀 Training will be 5-10x faster with NVIDIA GPU!"
                ;;
            amd)
                echo ""
                echo "🚀 Training will be 2-3x faster with AMD GPU!"
                ;;
        esac
    else
        if [[ "$GPU_TYPE" != "cpu" ]]; then
            echo -e "${YELLOW}⚠ GPU detected but not available in PyTorch${NC}"
            echo "  This might mean:"
            echo "  - GPU drivers need to be installed/updated"
            echo "  - Wrong PyTorch build was installed"
            echo "  - GPU is not supported"
        else
            echo "  CPU-only mode (slower training)"
        fi
    fi
    
    echo ""
    echo "=================================================="
    echo "✓ Setup complete!"
    echo "=================================================="
    echo ""
    echo "Test your setup:"
    echo "  python -c \"import torch; print(f'GPU: {torch.cuda.is_available()}')\""
    echo ""
    echo "Start ANNOTATE:"
    echo "  python ANNOTATE/web/app.py"
    echo ""
}

# Main execution
main() {
    # Check if we're in a virtual environment
    if [[ -z "$VIRTUAL_ENV" ]]; then
        echo -e "${YELLOW}⚠ Not in a virtual environment${NC}"
        echo ""
        echo "It's recommended to use a virtual environment:"
        echo "  python -m venv venv"
        echo "  source venv/bin/activate  # Linux/Mac"
        echo "  .\\venv\\Scripts\\activate   # Windows"
        echo ""
        read -p "Continue anyway? (y/N): " -n 1 -r
        echo
        if [[ ! $REPLY =~ ^[Yy]$ ]]; then
            exit 1
        fi
    else
        echo -e "${GREEN}✓ Virtual environment active: $VIRTUAL_ENV${NC}"
        echo ""
    fi
    
    detect_hardware
    check_existing_pytorch
    install_pytorch
    verify_installation
}

# Run main function
main