auto complex_value = std::complex<float>(static_cast<float>(value), 0.0f);
      content.assign(reinterpret_cast<const char*>(&complex_value),
                     sizeof(complex_value));
      repr.set_tensor_content(content);
      std::string mangled = tensorflow::mangling_util::MangleTensor(repr);

      return mlir::TF::TensorProtoAttr::get(shaped_type, mangled);
    } else {