Remove cudnn from CI procedure

Author: oppenheimli

.github/workflows/make_wheel_Linux_x86.sh

@@ -11,40 +11,32 @@ export TF_NAME='tensorflow'
 if [[ "$TF_VERSION" =~ ^2\.(16)\.[0-9]+$ ]] ; then
   export BUILD_IMAGE="tfra/nosla-cuda12.3-cudnn8.9-ubuntu20.04-manylinux2014-python$PY_VERSION"
   export TF_CUDA_VERSION="12.3"
-  export TF_CUDNN_VERSION="8.9"
   export TF_USE_LEGACY_KERAS=1
 elif [[ "$TF_VERSION" =~ ^2\.(15)\.[0-9]+$ ]] ; then
   export BUILD_IMAGE="tfra/nosla-cuda12.2-cudnn8.9-ubuntu20.04-manylinux2014-python$PY_VERSION"
   export TF_CUDA_VERSION="12.2"
-  export TF_CUDNN_VERSION="8.9"
 elif [[ "$TF_VERSION" =~ ^2\.(14)\.[0-9]+$ ]] ; then
   export BUILD_IMAGE="tfra/nosla-cuda11.8-cudnn8.7-ubuntu20.04-manylinux2014-python$PY_VERSION"
   export TF_CUDA_VERSION="11.8"
-  export TF_CUDNN_VERSION="8.7"
 elif [[ "$TF_VERSION" =~ ^2\.(12|13)\.[0-9]+$ ]] ; then
   export BUILD_IMAGE="tfra/nosla-cuda11.8-cudnn8.6-ubuntu20.04-manylinux2014-python$PY_VERSION"
   export TF_CUDA_VERSION="11.8"
-  export TF_CUDNN_VERSION="8.6"
 elif [[ "$TF_VERSION" =~ ^2\.([6-9]|10|11)\.[0-9]+$ ]] ; then
   export BUILD_IMAGE="tfra/nosla-cuda11.2-cudnn8-ubuntu20.04-manylinux2014-python$PY_VERSION"
   export TF_CUDA_VERSION="11.2"
-  export TF_CUDNN_VERSION="8.1"
 elif [ $TF_VERSION == "2.4.1" ] ; then
   export BUILD_IMAGE='tfra/nosla-cuda11.0-cudnn8-ubuntu18.04-manylinux2010-multipython'
   export TF_CUDA_VERSION="11.0"
-  export TF_CUDNN_VERSION="8.0"
 elif [ $TF_VERSION == "1.15.2" ] ; then
   export BUILD_IMAGE='tfra/nosla-cuda10.0-cudnn7-ubuntu16.04-manylinux2010-multipython'
   export TF_CUDA_VERSION="10.0"
-  export TF_CUDNN_VERSION="7.6"
 else
   echo "TF_VERSION is invalid: $TF_VERSION!"
   exit 1
 fi
 
 echo "BUILD_IMAGE is $BUILD_IMAGE"
 echo "TF_CUDA_VERSION is $TF_CUDA_VERSION"
-echo "TF_CUDNN_VERSION is $TF_CUDNN_VERSION"
 
 if [ -z $HOROVOD_VERSION ] ; then
   export HOROVOD_VERSION='0.28.1'
@@ -66,7 +58,6 @@ DOCKER_BUILDKIT=1 docker build --no-cache \
     --build-arg TF_NAME \
     --build-arg TF_NEED_CUDA \
     --build-arg TF_CUDA_VERSION \
-    --build-arg TF_CUDNN_VERSION \
     --build-arg HOROVOD_VERSION \
     --build-arg BUILD_IMAGE \
     --build-arg NIGHTLY_FLAG \