message: Disable SparseFillEmptyRows[Grad] on GPU
  It breaks an internal workload with the error message "segment ids are not
  increasing", which probably means that the output indices are not sorted in some
  cases.
diff: @@ -263,7 +263,7 @@ TF_CALL_ALL_TYPES(REGISTER_CPU_KERNELS);
  #undef REGISTER_KERNELS
  -#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
  +#if 0 && (GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
  // The GPU implementation is async because it requires waiting for a
  // host->device memcpy before the output is allocated (similar to
  @@ -411,7 +411,7 @@ class SparseFillEmptyRowsGradOp : public OpKernel {
  TF_CALL_NUMBER_TYPES(REGISTER_CPU_KERNELS);
  #undef REGISTER_CPU_KERNELS
  -#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
  +#if 0 && (GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
  // Forward declarations of the functor specializations for GPU.
  namespace functor {
  