try to use cuda/driver combo terra actually supports

Dockerfile.segalign

-FROM nvidia/cuda:11.7.0-devel-ubuntu22.04 as builder
+FROM nvidia/cuda:11.4.3-devel-ubuntu20.04 as builder
+
+# Prevent dpkg from trying to ask any questions, ever
+ENV DEBIAN_FRONTEND noninteractive
 
 # system dependencies are installed by ./installUbuntu.sh below, but we need sudo first
 RUN apt-get -qq -y update && \
@@ -16,7 +19,7 @@ RUN git clone https://github.com/ComparativeGenomicsToolkit/SegAlign.git /WGA_GP
 RUN cd /WGA_GPU && rm -rf build && ./scripts/installUbuntu.sh -c && git rev-parse HEAD > /Segalign.commit
 
 # Create a thinner final Docker image with only runtime dependencies
-FROM nvidia/cuda:11.7.0-runtime-ubuntu22.04
+FROM nvidia/cuda:11.4.3-runtime-ubuntu20.04
 
 # Install runtime dependencies
 RUN apt-get -qq -y update && \

src/cactus/progressive/cactus_prepare.py

@@ -80,7 +80,7 @@ def main(toil_mode=False):
     parser.add_argument("--gpu", action="store_true", help="use gpu-enabled lastz in cactus-blast and cactus-preprocess")
     parser.add_argument("--gpuType", default="nvidia-tesla-v100", help="GPU type (to set in WDL runtime parameters, use only with --wdl)")
     parser.add_argument("--gpuCount", type=int, default=1, help="GPU count (to set in WDL runtime parametersm, use only with --wdl)")
-    parser.add_argument("--nvidiaDriver", default="440.64.00", help="Nvidia driver version")
+    parser.add_argument("--nvidiaDriver", default="470.82.01", help="Nvidia driver version")
     parser.add_argument("--gpuZone", default="us-central1-a", help="zone used for gpu task")
     parser.add_argument("--zone", default="us-west2-a", help="zone used for all but gpu tasks")