}

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;
      (*node_def->mutable_attr())["_handle_shapes"] = handle_shapes_attr;
    }
  }

  TF_RETURN_IF_ERROR(
      SetShapeAttribute("_output_shapes", arg_type, node_def->mutable_attr()));

  DataType dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(arg_type.getElementType(), &dtype));

      }

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;
      (*node_def->mutable_attr())["_handle_shapes"] = handle_shapes_attr;
    }
  }

  TF_RETURN_IF_ERROR(
      SetShapeAttribute("_output_shapes", arg_type, node_def->mutable_attr()));

  DataType dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(arg_type.getElementType(), &dtype));

                               NodeDef* const_node) {
  const_node->set_name(variable_node.name());
  const_node->set_op("Const");
  (*const_node->mutable_attr())["dtype"] = variable_node.attr().at("dtype");
  variable_value.AsProtoTensorContent(
      (*const_node->mutable_attr())["value"].mutable_tensor());
}

// Converts a ReadVariableOp NodeDef to an Identity NodeDef.
void ConvertReadVariableOpToIdentity(const NodeDef& node,

  std::map<string, int> host_compute_core = {{"0", 1}, {"1", 0}};
  std::vector<string> shape_inference_graphs;
  bool has_outside_compilation;
  NameAttrList name_attrs;
  name_attrs.set_name("cluster");
  *name_attrs.mutable_attr() = attrs;
  TF_CHECK_OK(ExtractOutsideCompilationTest(
      "_xla", "_oc", "cluster", name_attrs, "cluster_rewritten", "host_graph",
      host_compute_core, &fld, &shape_inference_graphs,

// executed on TPU or GPU devices, which do not have `Cast` registered as a
// runtime OpKernel.
void RemoveIdentityCast(NodeDef* node_def) {
  auto attr = node_def->mutable_attr();
  if (node_def->op() == "Cast" && attr->contains("SrcT") &&
      attr->contains("DstT") &&
      attr->at("SrcT").type() == attr->at("DstT").type() &&
      attr->contains("Truncate") && !attr->at("Truncate").b()) {

         std::find(node.output_types().begin(), node.output_types().end(),
                   DT_RESOURCE) != node.output_types().end();
}

void RemoveFromXlaCluster(NodeDef* node_def) {
  node_def->mutable_attr()->erase(kXlaClusterAttr);
}

void RemoveFromXlaCluster(Node* node) { node->ClearAttr(kXlaClusterAttr); }

namespace {
typedef xla_config_registry::XlaGlobalJitLevel XlaGlobalJitLevel;

  NameAttrList name;
  name.set_name(def.op());
  *name.mutable_attr() = def.attr();
  // Remove the "_class" attribute from the attribute set used to create the
  // compilation cache key. This attribute is information for the colocator
  // and causes false uniqueness between nodes.
  name.mutable_attr()->erase("_class");
  return CompileImpl(compile_options, options, name, args, CompileScope::kOp,

  TF_RETURN_IF_ERROR(ConvertAttributes(attr.getAttrs().getValue(),
                                       /*attrs_to_ignore=*/{}, remove_ref_type,
                                       value->mutable_func()->mutable_attr()));
  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::StringAttr& attr, AttrValue* value) {
  absl::string_view attr_value(attr.getValue().data(), attr.getValue().size());

                                 NodeDef* node_def) {
  const NameAttrList* name_attr;
  TF_RETURN_IF_ERROR(GetNodeAttr(node.attrs(), attr_name, &name_attr));
  node_def->set_op(name_attr->name());
  *(node_def->mutable_attr()) = name_attr->attr();
  return absl::OkStatus();
}

absl::StatusOr<std::vector<NodeDef>> MakeCallNodesFromAttribute(
    const Node& node, absl::string_view attr_name,
    absl::string_view call_name) {

    return;
  }

  auto fdef_or = func->record->mutable_fdef();
  if (!fdef_or.ok()) {
    status->status = fdef_or.status();
    return;
  }

  (*(fdef_or.value()->mutable_attr()))[string(attr_name)] = attr_value;

  status->status = absl::OkStatus();
}

void TF_FunctionGetAttrValueProto(TF_Function* func, const char* attr_name,