code: def cpp_dispatch_target(f: NativeFunction) -> str:
      symint = f.func.has_symint()
      name = cpp.name(f.func, symint_overload=symint)
      if Variant.method in f.variants:
          return f"self.{name}"
      if Variant.function in f.variants:
          if has_tensor_options(f) or f.func.name.name.base.endswith(
              "_like"
          ):
              namespace = "torch"
          else:
              namespace = "at"
          return f"{namespace}::{name}"
      raise RuntimeError(
          f"could not dispatch, neither function nor method: {f.func}"
      )
  
imports: from dataclasses import dataclass
  from typing import Dict, List, Optional, Sequence, Set, Tuple, Union
  from torchgen.api import cpp
  from torchgen.api.types import Binding, CppSignature, CppSignatureGroup
  from torchgen.gen import pythonify_default
  from torchgen.model import Argument, BaseTy, BaseType, FunctionSchema, ListType, NativeFunction, OptionalType, Return, Type, Variant
label_desc: Use image node_id 15 for calling a global function with example usage: cpp_dispatch_target(f) and returns: str, name, namespace, str, name