anchor.diff:  
   # Create a tensorflow wheel for GPU/cuda
   ENV TF_NEED_CUDA=1
  -ENV TF_CUDA_VERSION=10.1
  +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
  
positive.code: ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
  ENV NVIDIA_VISIBLE_DEVICES=all
  ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
  ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
  RUN apt-get update && apt-get install -y --no-install-recommends \
        cuda-cupti-$CUDA_PKG_VERSION \
        cuda-cudart-$CUDA_PKG_VERSION \
  
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}
  