code: def return_str(rets: Tuple[Return, ...], names: List[str]) -> str:
      assert len(rets) == len(names)
      if len(rets) == 0:
          return ""
      elif len(rets) == 1:
          return f"return {names[0]};"
      else:
          return f"return {dispatcher.returns_type(rets).cpp_type()}({', '.join(names)});"
  
file_path: pytorch/torchgen/native_function_generation.py
imports: from collections import defaultdict
  from typing import Dict, List, Optional, Sequence, Tuple, Union
  import torchgen.api.dispatcher
  from torchgen.api.translate import translate
  from torchgen.api.types import Binding, DispatcherSignature, Expr
  from torchgen.context import with_native_function
  from torchgen.model import Annotation, Argument, BackendIndex, BackendMetadata, BaseOperatorName, BaseTy, BaseType, DEFAULT_KERNEL_NAMESPACE, DeviceCheckType, DispatchKey, FunctionSchema, NativeFunction, NativeFunctionsGroup, OperatorName, Return, SchemaKind, Variant
  from torchgen.utils import concatMap
label_desc: Use image node_id 9 for calling a global function with example usage: return_str(rets, names) and returns: str, str, names, str, str, dispatcher, str, str, str