Dockerfile

FROM python:3.11

# Install system dependencies for PyBullet/OpenGL + virtual display
RUN apt-get update && apt-get install -y \
    build-essential \
    libgl1-mesa-dev \
    libglew-dev \
    libosmesa6-dev \
    libgl1 \
    patchelf \
    git \
    ffmpeg \
    xvfb \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /code

# Copy requirements first for caching
COPY requirements.txt .

# Install Python dependencies
# Note: PyTorch with CUDA support is handled by the requirements.txt index-url
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of the application
COPY . .

# Set permissions
RUN chmod +x train_liquid.py

# Run the training script with virtual display
CMD ["xvfb-run", "-a", "python", "train_liquid.py"]