69 lines
1.6 KiB
Docker
69 lines
1.6 KiB
Docker
# Base image: CUDA 11.8 runtime on Ubuntu 22.04
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#FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
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FROM nvidia/cuda:13.3.1-cudnn-runtime-ubuntu22.04
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# Avoid interactive prompts during build
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=Etc/UTC
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# System dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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# Python
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python3.10 \
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python3.10-dev \
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python3.10-venv \
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python3-pip \
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# FFmpeg
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ffmpeg \
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# OpenCV dependencies
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libgl1-mesa-glx \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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# Utilities
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curl \
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wget \
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git \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# Create non-root user
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RUN groupadd -g 1000 appuser && \
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useradd -m -u 1000 -g appuser -s /bin/bash appuser
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# Set working directory
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WORKDIR /app
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# Create necessary directories
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RUN mkdir -p /scratch /models /data/training /data/output /logs
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# Copy requirements first for better caching
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COPY worker/requirements.txt /app/requirements.txt
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# Create and activate virtual environment
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RUN python3.10 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY src/ /app/src/
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COPY config.yaml /app/config.yaml
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# Set environment variables
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ENV PYTHONUNBUFFERED=1
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ENV PATH="/opt/venv/bin:$PATH"
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ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
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CMD python3 -c "import torch; assert torch.cuda.is_available()" || exit 1
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# Switch to non-root user
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USER appuser
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# Default command
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CMD ["python3", "-m", "src.main"]
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