anchor.diff:  # 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_MINOR_VERSION=2
  +ENV CUDA_PATCH_VERSION=89
   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"
  
positive.code:     wget --no-verbose "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
      dpkg -i bazel_*.deb && \
      rm bazel_*.deb
  
  # CUDA 10.1 changed the location of the toolkit (libcublas): https://forums.developer.nvidia.com/t/cublas-for-10-1-is-missing/71015/17
  RUN cp /usr/local/cuda-10.2/targets/x86_64-linux/include/cublas_api.h /usr/local/cuda-10.1/targets/x86_64-linux/include/ && \
      cp /usr/local/cuda-10.2/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/ && \
      ln /usr/local/cuda-10.1/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/libcublas.so.10.1 && \
      ln -s /usr/local/cuda-10.1/lib64/libcublas.so.10.1 /usr/local/cuda-10.1/lib64/libcublas.so
  
  # Fetch TensorFlow & install dependencies.
  RUN cd /usr/local/src && \
  
negative.code: FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
  FROM gcr.io/deeplearning-platform-release/base-cpu:m46
  
  # Avoid interactive configuration prompts/dialogs during apt-get.
  