ForwardOperation* forward_op_) {
  if (num_dims > TensorShape::MaxDimensions()) {
    return absl::InvalidArgumentError(
        absl::StrCat("Value specified for `", attr_name, "` has ", num_dims,
                     " dimensions which is over the limit of ",
                     TensorShape::MaxDimensions(), "."));
  }
  TensorShapeProto proto;
  if (num_dims < 0) {

  absl::Status status;
  for (const std::vector<int64_t>& dims :
       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }
    TF_Tensor* dst = TF_TensorFromTensor(src, &status);
    ASSERT_TRUE(status.ok()) << status.message();