blob: 3dcb3d6595be999440963468615415e0897879ed [file] [log] [blame]
# -*- mode: dockerfile -*-
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Dockerfile to build MXNet on Ubuntu 16.04 for GPU but on
# a CPU-only instance. This restriction is caused by the CPP-
# package generation, requiring the actual CUDA library to be
# present
FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu16.04
WORKDIR /work/deps
COPY install/ubuntu_core.sh /work/
RUN /work/ubuntu_core.sh
COPY install/deb_ubuntu_ccache.sh /work/
RUN /work/deb_ubuntu_ccache.sh
COPY install/ubuntu_python.sh /work/
COPY install/requirements /work/
RUN /work/ubuntu_python.sh
COPY install/ubuntu_binutils.sh /work/
RUN /work/ubuntu_binutils.sh
# Keep this at the end since this command is not cachable
ARG USER_ID=0
ARG GROUP_ID=0
COPY install/ubuntu_adduser.sh /work/
RUN /work/ubuntu_adduser.sh
COPY runtime_functions.sh /work/
WORKDIR /work/mxnet
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/compat