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change base kernel from 19.06-py36-cuda9 to 19.09-py36-cuda10
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python-tensorflow/Dockerfile.1.14-py36-cuda10

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@@ -8,6 +8,8 @@ ENV PYTHONUNBUFFERED=1 \
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PATH="/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" \
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LANG=C.UTF-8
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RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 2
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# Install ipython kernelspec
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RUN python3 -m ipykernel install --display-name "TensorFlow 1.14 on Python 3.6 (CUDA 10.0)" && \
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cat /usr/local/share/jupyter/kernels/python3/kernel.json
@@ -23,7 +25,7 @@ LABEL ai.backend.kernelspec="1" \
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ai.backend.resource.min.cuda.shares=0.1 \
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ai.backend.runtime-type="python" \
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ai.backend.runtime-path="/usr/bin/python3" \
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ai.backend.service-ports="ipython:pty:3000,nniboard:http:8080,jupyter:http:8070,jupyterlab:http:8090"
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ai.backend.service-ports="ipython:pty:3000,jupyter:http:8070,jupyterlab:http:8090"
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WORKDIR /home/work
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# vim: ft=dockerfile

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