add CUDA 11.7.0 workflow for docker image build (#1048)

Co-authored-by: pbialecki <pbialecki@nvidia.com>

Author: ptrblck

.github/workflows/build-conda-images.yml

@@ -26,7 +26,7 @@ jobs:
     runs-on: linux.2xlarge
     strategy:
       matrix:
-        cuda_version: ["10.2", "11.3", "11.5", "11.6", "cpu"]
+        cuda_version: ["10.2", "11.3", "11.5", "11.6", "11.7", "cpu"]
     env:
       CUDA_VERSION: ${{ matrix.cuda_version }}
     steps:

common/install_cuda.sh

@@ -97,6 +97,27 @@ function install_116 {
     ldconfig
 }
 
+function install_117 {
+    echo "Installing CUDA 11.7 and CuDNN 8.3"
+    rm -rf /usr/local/cuda-11.7 /usr/local/cuda
+    # install CUDA 11.7.0 in the same container
+    wget -q https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
+    chmod +x cuda_11.7.0_515.43.04_linux.run
+    ./cuda_11.7.0_515.43.04_linux.run --toolkit --silent
+    rm -f cuda_11.7.0_515.43.04_linux.run
+    rm -f /usr/local/cuda && ln -s /usr/local/cuda-11.7 /usr/local/cuda
+
+    # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
+    mkdir tmp_cudnn && cd tmp_cudnn
+    wget -q https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.2/local_installers/11.5/cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz -O cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz
+    tar xf cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz
+    cp -a cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive/include/* /usr/local/cuda/include/
+    cp -a cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive/lib/* /usr/local/cuda/lib64/
+    cd ..
+    rm -rf tmp_cudnn
+    ldconfig
+}
+
 function prune_102 {
     echo "Pruning CUDA 10.2 and CuDNN"
     #####################################################################################
@@ -221,7 +242,38 @@ function prune_116 {
     #####################################################################################
     export CUDA_BASE="/usr/local/cuda-11.6/"
     rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.1.1 $CUDA_BASE/nsight-systems-2021.5.2
-} 
+}
+
+function prune_117 {
+    echo "Pruning CUDA 11.7 and CuDNN"
+    #####################################################################################
+    # CUDA 11.7 prune static libs
+    #####################################################################################
+    export NVPRUNE="/usr/local/cuda-11.7/bin/nvprune"
+    export CUDA_LIB_DIR="/usr/local/cuda-11.7/lib64"
+
+    export GENCODE="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86"
+    export GENCODE_CUDNN="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86"
+
+    if [[ -n "$OVERRIDE_GENCODE" ]]; then
+        export GENCODE=$OVERRIDE_GENCODE
+    fi
+
+    # all CUDA libs except CuDNN and CuBLAS (cudnn and cublas need arch 3.7 included)
+    ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis"  \
+      | xargs -I {} bash -c \
+                "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
+
+    # prune CuDNN and CuBLAS
+    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
+    $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
+
+    #####################################################################################
+    # CUDA 11.6 prune visual tools
+    #####################################################################################
+    export CUDA_BASE="/usr/local/cuda-11.7/"
+    rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.2.0 $CUDA_BASE/nsight-systems-2022.1.3
+}
 
 # idiomatic parameter and option handling in sh
 while test $# -gt 0
@@ -235,6 +287,8 @@ do
 		;;
     11.6) install_116; prune_116
 	        ;;
+    11.7) install_117; prune_117
+	        ;;
 	*) echo "bad argument $1"; exit 1
 	   ;;
     esac

conda/Dockerfile

@@ -60,6 +60,10 @@ FROM cuda as cuda11.6
 RUN bash ./install_cuda.sh 11.6
 ENV DESIRED_CUDA=11.6
 
+FROM cuda as cuda11.7
+RUN bash ./install_cuda.sh 11.7
+ENV DESIRED_CUDA=11.7
+
 # Install MNIST test data
 FROM base as mnist
 ADD ./common/install_mnist.sh install_mnist.sh
@@ -70,6 +74,7 @@ COPY --from=cuda10.2  /usr/local/cuda-10.2 /usr/local/cuda-10.2
 COPY --from=cuda11.3  /usr/local/cuda-11.3 /usr/local/cuda-11.3
 COPY --from=cuda11.5  /usr/local/cuda-11.5 /usr/local/cuda-11.5
 COPY --from=cuda11.6  /usr/local/cuda-11.6 /usr/local/cuda-11.6
+COPY --from=cuda11.7  /usr/local/cuda-11.7 /usr/local/cuda-11.7
 
 FROM ${BASE_TARGET} as final
 # Install LLVM

conda/build_all_docker.sh

@@ -4,6 +4,6 @@ set -eou pipefail
 
 TOPDIR=$(git rev-parse --show-toplevel)
 
-for CUDA_VERSION in 11.6 11.5 11.3 10.2 cpu; do
+for CUDA_VERSION in 11.7 11.6 11.5 11.3 10.2 cpu; do
   CUDA_VERSION="${CUDA_VERSION}" conda/build_docker.sh
 done