// Checks for gradient attribute. If present converts the gradient function
  // and populates the GradientDef.
  auto grad_string = mlir::TF::TensorFlowDialect::GetGradientAttrName();
  if (auto attr =
          function->getAttrOfType<mlir::FlatSymbolRefAttr>(grad_string)) {
    auto grad_func = symbol_table.lookup<FuncOp>(attr.getValue());
    TF_RETURN_IF_ERROR(ConvertLibFunction(configs, tf_dialect, symbol_table,

		remain--
	}

	return *(*string)(unsafe.Pointer(&b))
}

// generate random object name.
func getRandomObjectName() string {
	return randString(16)
}

// generate random bucket name.
func getRandomBucketName() string {
	return randString(60)
}

// construct URL for http requests for bucket operations.

    auto gradient_attr =
        mlir::SymbolRefAttr::get(builder_.getContext(), mlir_grad_func_name);
    auto grad_string = mlir::TF::TensorFlowDialect::GetGradientAttrName();
    attributes.push_back(builder_.getNamedAttr(grad_string, gradient_attr));
  }

  deferred_functions_.emplace(func_name.str(), attributes);
  return absl::OkStatus();
}