Installed CuDNN in docker

.gitlab-ci.yml

@@ -43,7 +43,7 @@ integrationMXNetJobLinux:
 
 integrationCaffe2JobLinux:
   stage: linux
-  image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/generators/emadl2cpp/integrationtests/caffe2:v0.0.3
+  image: registry.git.rwth-aachen.de/monticore/embeddedmontiarc/generators/emadl2cpp/integrationtests/caffe2:v0.0.4
   script:
   - mvn -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -B  clean install --settings settings.xml -Dtest=IntegrationCaffe2Test
 
@@ -54,6 +54,8 @@ masterJobWindows:
   - mvn -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -B  clean install --settings settings.xml -Dtest=!Integration*
   tags:
   - Windows10
+  except:
+  - oneclick_nn_training
 
 
 UnitTestJobLinux:

src/test/resources/docker/caffe2/Dockerfile

@@ -58,4 +58,12 @@ RUN apt update
 RUN apt-key adv --fetch-keys  http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
 RUN bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
 RUN apt update
-RUN apt install -y cuda-toolkit-9.2
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+RUN apt install -y cuda-toolkit-9.2
+
+
+ENV CUDNN_TAR_FILE="cudnn-8.0-linux-x64-v6.0.tgz"
+RUN wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/${CUDNN_TAR_FILE}
+RUN tar -xzvf ${CUDNN_TAR_FILE}
+RUN cp -P cuda/include/cudnn.h /usr/local/cuda/include
+RUN cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64/
+RUN chmod a+r /usr/local/cuda/lib64/libcudnn*
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