code: def unpacked_name(arg_name: str) -> str:
      return arg_name + "_"
  
imports: from typing import Dict, List, Optional, Sequence, Tuple
  from torchgen.api import cpp
  from torchgen.api.autograd import dispatch_strategy, gen_differentiable_outputs, NativeFunctionWithDifferentiabilityInfo
  from torchgen.api.types import BaseCType, Binding, boolT, ConstRefCType, CType, DispatcherSignature, intArrayRefT, longT, OptionalCType, symIntArrayRefT, SymIntT, tensorT
  from torchgen.code_template import CodeTemplate
  from torchgen.context import with_native_function
  from torchgen.model import NativeFunction, SchemaKind, SelfArgument, TensorOptionsArguments, Type
  from torchgen.utils import FileManager
  from .context import with_native_function_with_differentiability_info
  from .gen_trace_type import get_return_value, MANUAL_AUTOGRAD, tie_return_values, type_wrapper_name
label_desc: Use image node_id 3 for calling a global function with example usage: unpacked_name(arg_name) and returns: unknown