spleeter/docker/python-3.6-gpu.dockerfile

FROM python:3.6

# Cuda installation.
# Note : original cuda base file from https://gitlab.com/nvidia/container-images/cuda/blob/master/dist/ubuntu18.04/10.1/base/Dockerfile
RUN apt-get update \
    && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates \
    && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - \
    && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list \
    && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \
    && apt-get purge --autoremove -y curl \
    && rm -rf /var/lib/apt/lists/*

ENV CUDA_VERSION 10.1.243
ENV CUDA_PKG_VERSION 10-1=$CUDA_VERSION-1

# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
RUN apt-get update \
    && apt-get install -y --no-install-recommends cuda-cudart-$CUDA_PKG_VERSION \
    && cuda-compat-10-1 \
    && ln -s cuda-10.1 /usr/local/cuda \
    && rm -rf /var/lib/apt/lists/*

# Required for nvidia-docker v1
RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf \
    && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf

ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64

# nvidia-container-runtime
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_REQUIRE_CUDA "cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411"

# Spleeter installation.
RUN apt-get update && apt-get install -y ffmpeg libsndfile1
RUN pip install musdb museval
RUN pip install spleeter-gpu==1.4.4
RUN mkdir -p /model
ENV MODEL_PATH /model
ENTRYPOINT ["spleeter"]