# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. FROM nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04 ARG NNI_RELEASE LABEL maintainer='Microsoft NNI Team' ENV DEBIAN_FRONTEND=noninteractive RUN apt-get -y update RUN apt-get -y install \ sudo \ apt-utils \ git \ curl \ vim \ unzip \ wget \ build-essential \ cmake \ libopenblas-dev \ automake \ openssh-client \ openssh-server \ lsof \ python3.6 \ python3-dev \ python3-pip \ python3-tk \ libcupti-dev RUN apt-get clean RUN rm -rf /var/lib/apt/lists/* # # generate python script # RUN ln -s python3 /usr/bin/python # # update pip # RUN python3 -m pip install --upgrade pip==20.2.4 setuptools==50.3.2 # numpy 1.19.5 scipy 1.5.4 RUN python3 -m pip --no-cache-dir install numpy==1.19.5 scipy==1.5.4 # # TensorFlow # RUN python3 -m pip --no-cache-dir install tensorflow==2.3.1 # # Keras # RUN python3 -m pip --no-cache-dir install Keras==2.4.3 # # PyTorch # RUN python3 -m pip --no-cache-dir install torch==1.7.1 torchvision==0.8.2 pytorch-lightning==1.3.3 # # sklearn 0.24.1 # RUN python3 -m pip --no-cache-dir install scikit-learn==0.24.1 # # pandas==0.23.4 lightgbm==2.2.2 # RUN python3 -m pip --no-cache-dir install pandas==1.1 lightgbm==2.2.2 # # Install NNI # COPY dist/nni-${NNI_RELEASE}-py3-none-manylinux1_x86_64.whl . RUN python3 -m pip install nni-${NNI_RELEASE}-py3-none-manylinux1_x86_64.whl # # Vision patch. Need del later # COPY test/vso_tools/interim_patch.py . RUN python3 interim_patch.py # # install aml package # RUN python3 -m pip --no-cache-dir install azureml RUN python3 -m pip --no-cache-dir install azureml-sdk ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/root/.local/bin:/usr/bin:/bin:/sbin WORKDIR /root