nni/Dockerfile

59 строки
1.5 KiB
Docker

# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
FROM nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04
ARG NNI_RELEASE
LABEL maintainer='Microsoft NNI Team<nni@microsoft.com>'
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update
RUN apt-get -y install \
automake \
build-essential \
cmake \
curl \
git \
openssh-server \
python3 \
python3-dev \
python3-pip \
sudo \
unzip \
wget \
zip
RUN apt-get clean
RUN rm -rf /var/lib/apt/lists/*
RUN ln -s python3 /usr/bin/python
RUN python3 -m pip --no-cache-dir install pip==22.0.3 setuptools==60.9.1 wheel==0.37.1
RUN python3 -m pip --no-cache-dir install \
lightgbm==3.3.2 \
numpy==1.22.2 \
pandas==1.4.1 \
scikit-learn==1.0.2 \
scipy==1.8.0
RUN python3 -m pip --no-cache-dir install \
torch==1.10.2+cu113 \
torchvision==0.11.3+cu113 \
torchaudio==0.10.2+cu113 \
-f https://download.pytorch.org/whl/cu113/torch_stable.html
RUN python3 -m pip --no-cache-dir install pytorch-lightning==1.6.1
RUN python3 -m pip --no-cache-dir install tensorflow==2.9.1
RUN python3 -m pip --no-cache-dir install azureml==0.2.7 azureml-sdk==1.38.0
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
RUN rm nni-${NNI_RELEASE}-py3-none-manylinux1_x86_64.whl
ENV PATH=/root/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/bin:/usr/bin:/usr/sbin
WORKDIR /root