Dockerfile.build.ubuntu_gpu_cu90

# -*- mode: dockerfile -*-
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# to you under the Apache License, Version 2.0 (the
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#   http://www.apache.org/licenses/LICENSE-2.0
#
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# "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 run MXNet on Ubuntu 16.04 for GPU

FROM nvidia/cuda:9.0-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_scala.sh /work/
COPY install/sbt.gpg /work/
RUN /work/ubuntu_scala.sh

COPY install/ubuntu_r.sh /work/
RUN /work/ubuntu_r.sh

COPY install/ubuntu_perl.sh /work/
RUN /work/ubuntu_perl.sh

COPY install/ubuntu_clang.sh /work/
RUN /work/ubuntu_clang.sh

COPY install/ubuntu_tvm.sh /work/
RUN /work/ubuntu_tvm.sh

COPY install/ubuntu_llvm.sh /work/
RUN /work/ubuntu_llvm.sh

COPY install/ubuntu_caffe.sh /work/
RUN /work/ubuntu_caffe.sh

COPY install/ubuntu_onnx.sh /work/
RUN /work/ubuntu_onnx.sh

COPY install/ubuntu_docs.sh /work/
COPY install/requirements /work/
RUN /work/ubuntu_docs.sh

COPY install/ubuntu_tutorials.sh /work/
RUN /work/ubuntu_tutorials.sh

ENV CUDA_VERSION=9.0.176
ENV CUDNN_VERSION=7.6.5.32
COPY install/ubuntu_cudnn.sh /work/
RUN /work/ubuntu_cudnn.sh

# Always last
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/lib