Created
June 5, 2018 16:07
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kws Dockerfile
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FROM nvidia/cuda:7.5-runtime-ubuntu14.04 | |
LABEL maintainer "NVIDIA CORPORATION <[email protected]>" | |
RUN echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list | |
ENV CUDNN_VERSION 4.0.8 | |
LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}" | |
RUN apt-get update && apt-get install -y --no-install-recommends \ | |
libcudnn4=$CUDNN_VERSION && \ | |
rm -rf /var/lib/apt/lists/* | |
RUN apt-get update | |
RUN apt-get install -y python python-dev python-virtualenv libsamplerate-dev libfftw3-3 wget nano cmake | |
# Set the working directory to /kws | |
WORKDIR /kws | |
# Copy the current directory contents into the container at /kws | |
ADD . /kws | |
RUN virtualenv kws | |
RUN source kws/bin/activate | |
RUN pip install pip --upgrade | |
RUN pip install -r requirements.txt | |
RUN pip install tensorflow | |
RUN make | |
RUN export PYTHONPATH=$PYTHONPATH:`pwd` | |
RUN mkdir /models | |
RUN sed -i -e 's/home\/ubuntu\/models\/kws\/test/models\/test/' ./configs/kws.json |
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