bool ignore_unregistered_attrs,
                                 AttrValueMap* attributes) {
  if (derived_attrs) {
    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        ConvertAttributes(derived_attrs.getValue(), /*attrs_to_ignore=*/{},
                          /*remove_ref_type=*/true, attributes),
        "while converting derived attributes for node: ",
        mlir::StringRefToView(name));
  }

// Converts MLIR attributes with values to their tensorflow equivalent.
// "name" and "device" attributes are ignored by default. Use attrs_to_ignore to
// specify any other attributes that should be ignored.
Status ConvertAttributes(
    llvm::ArrayRef<mlir::NamedAttribute> attrs,
    const absl::flat_hash_set<absl::string_view>& attrs_to_ignore,
    bool remove_ref_type, AttrValueMap* values);

                        AttrValue* value) {
  TF_RETURN_IF_ERROR(ConvertAttribute(
      mlir::cast<mlir::FlatSymbolRefAttr>(attr.getName()), value));
  TF_RETURN_IF_ERROR(ConvertAttributes(attr.getAttrs().getValue(),
                                       /*attrs_to_ignore=*/{}, remove_ref_type,
                                       value->mutable_func()->mutable_attr()));
  return absl::OkStatus();
}

  absl::flat_hash_set<absl::string_view> attrs_to_ignore = {kDeviceAttr,
                                                            kAliasingAttr};
  TF_RETURN_IF_ERROR(ConvertAttributes(func_arg_i_attrs, attrs_to_ignore,
                                       /*remove_ref_type=*/false,
                                       node_def->mutable_attr()));

  return node_def;
}

  absl::flat_hash_set<absl::string_view> attrs_to_ignore = {kDeviceAttr,
                                                            kAliasingAttr};
  TF_RETURN_IF_ERROR(ConvertAttributes(func_arg_i_attrs, attrs_to_ignore,
                                       /*remove_ref_type=*/false,
                                       node_def->mutable_attr()));

  return node_def;
}