anchor.diff:  ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
   ENV NVIDIA_VISIBLE_DEVICES=all
   ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
  -ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
  +ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
   RUN apt-get update && apt-get install -y --no-install-recommends \
         cuda-cupti-$CUDA_PKG_VERSION \
         cuda-cudart-$CUDA_PKG_VERSION \
  
positive.code:       cuda-nvml-dev-$CUDA_PKG_VERSION \
        cuda-minimal-build-$CUDA_PKG_VERSION \
        cuda-command-line-tools-$CUDA_PKG_VERSION \
        libcudnn7=7.6.5.32-1+cuda10.1 \
        libcudnn7-dev=7.6.5.32-1+cuda10.1 \
        libnccl2=2.5.6-1+cuda10.1 \
        libnccl-dev=2.5.6-1+cuda10.1 && \
      ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
      ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
  
  # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
  
negative.code: 
  # Ensure the cuda libraries are compatible with the GPU image.
  # TODO(b/120050292): Use templating to keep in sync.
  ENV CUDA_MAJOR_VERSION=10
  ENV CUDA_MINOR_VERSION=1
  ENV CUDA_PATCH_VERSION=243
  ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
  ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
  LABEL com.nvidia.volumes.needed="nvidia_driver"
  LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
  ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
  