Update base CUDA image for CI to v10.0 cuDNN 7.3.1

ci/docker/Dockerfile.build.centos7_gpu

@@ -18,7 +18,9 @@
 #
 # Dockerfile to build and run MXNet on CentOS 7 for GPU
 
-FROM nvidia/cuda:9.1-cudnn7-devel-centos7
+FROM nvidia/cuda:10.0-devel-centos7
+
+ENV CUDNN_VERSION=7.3.1.20
 
 WORKDIR /work/deps
 
@@ -28,6 +30,8 @@ COPY install/centos7_ccache.sh /work/
 RUN /work/centos7_ccache.sh
 COPY install/centos7_python.sh /work/
 RUN /work/centos7_python.sh
+COPY install/centos7_cudnn.sh /work/
+RUN /work/centos7_cudnn.sh
 
 ARG USER_ID=0
 COPY install/centos7_adduser.sh /work/

ci/docker/Dockerfile.build.ubuntu_base_gpu

@@ -19,12 +19,17 @@
 # Dockerfile to run the MXNet Installation Tests on Ubuntu 16.04
 # This should run in an empty docker with ubuntu and cuda.
 
-FROM nvidia/cuda:9.1-cudnn7-devel
+FROM nvidia/cuda:10.0-devel-ubuntu16.04
+
+ENV CUDNN_VERSION=7.3.1.20
 
 WORKDIR /work/deps
 
 RUN apt-get update && apt-get -y install sudo
 
+COPY install/ubuntu_cudnn.sh /work/
+RUN /work/ubuntu_cudnn.sh
+
 ARG USER_ID=0
 ARG GROUP_ID=0
 COPY install/ubuntu_adduser.sh /work/

ci/docker/Dockerfile.build.ubuntu_build_cuda

@@ -21,7 +21,9 @@
 # package generation, requiring the actual CUDA library to be
 # present
 
-FROM nvidia/cuda:9.1-cudnn7-devel
+FROM nvidia/cuda:10.0-devel-ubuntu16.04
+
+ENV CUDNN_VERSION=7.3.1.20
 
 WORKDIR /work/deps
 
@@ -43,6 +45,8 @@ COPY install/ubuntu_clang.sh /work/
 RUN /work/ubuntu_clang.sh
 COPY install/ubuntu_mklml.sh /work/
 RUN /work/ubuntu_mklml.sh
+COPY install/ubuntu_cudnn.sh /work/
+RUN /work/ubuntu_cudnn.sh
 
 # Special case because the CPP-Package requires the CUDA runtime libs
 # and not only stubs (which are provided by the base image)

ci/docker/Dockerfile.build.ubuntu_gpu

@@ -18,7 +18,9 @@
 #
 # Dockerfile to run MXNet on Ubuntu 16.04 for GPU
 
-FROM nvidia/cuda:9.1-cudnn7-devel
+FROM nvidia/cuda:10.0-devel-ubuntu16.04
+
+ENV CUDNN_VERSION=7.3.1.20
 
 WORKDIR /work/deps
 
@@ -72,6 +74,9 @@ ARG GROUP_ID=0
 COPY install/ubuntu_adduser.sh /work/
 RUN /work/ubuntu_adduser.sh
 
+COPY install/ubuntu_cudnn.sh /work/
+RUN /work/ubuntu_cudnn.sh
+
 COPY runtime_functions.sh /work/
 
 WORKDIR /work/mxnet

ci/docker/Dockerfile.build.ubuntu_nightly_gpu

@@ -18,7 +18,9 @@
 #
 # Dockerfile to run MXNet on Ubuntu 16.04 for CPU
 
-FROM nvidia/cuda:9.1-cudnn7-devel
+FROM nvidia/cuda:10.0-devel-ubuntu16.04
+
+ENV CUDNN_VERSION=7.3.1.20
 
 WORKDIR /work/deps
 
@@ -70,6 +72,9 @@ RUN /work/ubuntu_tutorials.sh
 COPY install/ubuntu_nightly_tests.sh /work/
 RUN /work/ubuntu_nightly_tests.sh
 
+COPY install/ubuntu_cudnn.sh /work/
+RUN /work/ubuntu_cudnn.sh
+
 ARG USER_ID=0
 ARG GROUP_ID=0
 COPY install/ubuntu_adduser.sh /work/

ci/docker/install/centos7_cudnn.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+
+# 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.
+
+# build and install are separated so changes to build don't invalidate
+# the whole docker cache for the image
+
+set -ex
+
+# Multipackage installation does not fail in yum
+CUDNN_DOWNLOAD_SUM=4e15a323f2edffa928b4574f696fc0e449a32e6bc35c9ccb03a47af26c2de3fa
+curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v7.3.1/cudnn-10.0-linux-x64-v7.3.1.20.tgz -O
+echo "$CUDNN_DOWNLOAD_SUM cudnn-10.0-linux-x64-v7.3.1.20.tgz" | sha256sum -c -
+tar --no-same-owner -xzf cudnn-10.0-linux-x64-v7.3.1.20.tgz -C /usr/local
+rm cudnn-10.0-linux-x64-v7.3.1.20.tgz
+ldconfig
+

ci/docker/install/ubuntu_cudnn.sh

@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+
+# 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.
+
+# build and install are separated so changes to build don't invalidate
+# the whole docker cache for the image
+
+# Assumes base image is from nvidia/cuda
+
+set -ex
+
+apt-get update || true
+apt-get install -y libcudnn7=7.3.1.20-1+cuda10.0 libcudnn7-dev=7.3.1.20-1+cuda10.0
+

ci/docker/install/ubuntu_nvidia.sh

@@ -22,4 +22,4 @@ set -ex
 # Retrieve ppa:graphics-drivers and install nvidia-drivers.
 # Note: DEBIAN_FRONTEND required to skip the interactive setup steps
 apt update
-DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends cuda-9-1
+DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends cuda-10-0

ci/docker/runtime_functions.sh

@@ -565,7 +565,7 @@ build_ubuntu_cpu_mkldnn_mkl() {
 }
 
 build_ubuntu_gpu() {
-    build_ubuntu_gpu_cuda91_cudnn7
+    build_ubuntu_gpu_cuda100_cudnn7
 }
 
 build_ubuntu_gpu_tensorrt() {
@@ -665,7 +665,7 @@ build_ubuntu_gpu_mkldnn_nocudnn() {
         -j$(nproc)
 }
 
-build_ubuntu_gpu_cuda91_cudnn7() {
+build_ubuntu_gpu_cuda100_cudnn7() {
     set -ex
     # unfortunately this build has problems in 3rdparty dependencies with ccache and make
     # build_ccache_wrappers

ci/jenkins/Jenkins_steps.groovy

@@ -218,12 +218,12 @@ def compile_unix_mkldnn_nocudnn_gpu() {
 }
 
 def compile_unix_full_gpu() {
-    return ['GPU: CUDA9.1+cuDNN7': {
+    return ['GPU: CUDA10.0+cuDNN7': {
       node(NODE_LINUX_CPU) {
         ws('workspace/build-gpu') {
           timeout(time: max_time, unit: 'MINUTES') {
             utils.init_git()
-            utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_cuda91_cudnn7', false)
+            utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_cuda100_cudnn7', false)
             utils.pack_lib('gpu', mx_lib_cpp_examples, true)
           }
         }