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: 
  # Create a tensorflow wheel for GPU/cuda
  ENV TF_NEED_CUDA=1
  ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
  # 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
  ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
  ENV TF_CUDNN_VERSION=7
  