Dockerfile

FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV CUDA_HOME=/usr/local/cuda

# Install Python and system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3-pip \
    git \
    wget \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Set Python 3.10 as default
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1
RUN update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1

# Set working directory
WORKDIR /app

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy the entire project
COPY . .

# Install the package
RUN pip install -e .

# Create directories for models and logs
RUN mkdir -p /app/models /app/logs

# Expose any ports if needed (e.g., for monitoring dashboard)
# EXPOSE 8080

# Default command
CMD ["python", "src/train_gpu_optimized.py"]