(*node_def.mutable_attr())["shared_name"].set_s(node_def.name());
          } else {
            // Use the concat of function name and node name for such ops in a
            // function as the shared_name. "@" is used as the separator because
            // it is not allowed in the function name or the node name.
            (*node_def.mutable_attr())["shared_name"].set_s(

      }

      (*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));

  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,

                                  }}},
                                {{"c", "t0:y:0"}});

  AttrValue true_attribute;
  true_attribute.set_b(true);
  (*called_func.mutable_attr())[kXlaMustCompileAttr] = true_attribute;
  *library.add_function() = called_func;
  TF_ASSERT_OK(root.graph()->AddFunctionLibrary(library));
  FunctionLibraryDefinition flib_def(OpRegistry::Global(), library);

        attrs) {
  NodeDef node;
  node.set_name(std::string(name));
  node.set_op(std::string(op));
  for (const auto& input : inputs) node.add_input(input);
  for (const auto& attr : attrs)
    node.mutable_attr()->insert({attr.first, attr.second.proto});
  return node;
}

}  // namespace

GraphDef DeviceCompilerSerializeTest::GetTestGraph(
    const PartialTensorShape& input_shape) {

// 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()) {

}

void BM_BuildSignature(::testing::benchmark::State& state) {
  const int n_args = state.range(0);

  NameAttrList fn;
  fn.set_name("afunction");
  for (int i = 0; i < n_args; i++) {
    (*fn.mutable_attr())[absl::StrCat("T", i)].set_type(DT_FLOAT);
  }
  std::vector<XlaCompiler::Argument> args(n_args);
  for (int i = 0; i < n_args; i++) {
    args[i].kind = (((i % 3) == 0) ? XlaCompiler::Argument::kConstant

  NameAttrList host_then_branch, host_else_branch;
  host_then_branch.set_name(then_branch_host_func_name);
  (*host_then_branch.mutable_attr())["_device_ordinal"] = device_ordinal_value;
  host_else_branch.set_name(else_branch_host_func_name);
  (*host_else_branch.mutable_attr())["_device_ordinal"] = device_ordinal_value;
  if_builder.Attr("then_branch", host_then_branch);
  if_builder.Attr("else_branch", host_else_branch);

  def.add_input("input3");
  def.add_input("input3");

  AttrValue v0;
  v0.set_type(DataType::DT_INT32);
  v0.set_i(3);
  (*def.mutable_attr())["NumInput3"] = v0;
  AttrValue v1;
  v1.set_type(DataType::DT_FLOAT);
  (*def.mutable_attr())["SomeDataTypeAttr"] = v1;

  return CreateOpKernel(DeviceType(device_name), nullptr, nullptr, def, 1,
                        status);
}