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add NNI, MLFLOW service port
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vendor/ngc-pytorch/Dockerfile.20.11-py3

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@@ -203,6 +203,7 @@ RUN ldconfig /usr/local/cuda/targets/x86_64-linux/lib/stubs && \
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RUN python3 -m pip install --no-cache-dir \
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mpi4py==3.0.3 \
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nni==1.9 \
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mlflow==1.13 \
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scikit-nni==0.2.1
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RUN jupyter nbextensions_configurator enable && \
@@ -229,7 +230,7 @@ RUN apt autoclean && \
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RUN /opt/conda/bin/python3 -m ipykernel install \
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--prefix=/opt/conda/ \
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--display-name "PyTorch 1.8 (NGC 20.11/Python 3.6 Conda) on Backend.AI" && \
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--display-name "PyTorch 1.7.1 (NGC 20.11/Python 3.6 Conda) on Backend.AI" && \
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cat /opt/conda/share/jupyter/kernels/python3/kernel.json
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# Backend.AI specifics
@@ -245,7 +246,7 @@ LABEL ai.backend.kernelspec="1" \
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ai.backend.base-distro="ubuntu16.04" \
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ai.backend.runtime-type="python" \
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ai.backend.runtime-path="/opt/conda/bin/python3" \
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ai.backend.service-ports="ipython:pty:3000,jupyter:http:8080,jupyterlab:http:8090,vscode:http:8180,tensorboard:http:6006"
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ai.backend.service-ports="ipython:pty:3000,jupyter:http:8091,jupyterlab:http:8090,vscode:http:8180,tensorboard:http:6006,mlflow-ui:http:5000,nniboard:http:8080"
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WORKDIR /home/work

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