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# Use the official PyTorch Docker image as a base (includes CUDA and PyTorch) | |
FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-runtime | |
# Set a working directory in the container | |
WORKDIR /workspace | |
# Install Python dependencies | |
COPY requirements.txt . | |
RUN pip install --upgrade pip | |
RUN pip install -r requirements.txt | |
# Copy the training script | |
COPY app.py . | |
# Run the training script | |
CMD ["python", "app.py"] | |