code: def method_impl(
      name: BaseOperatorName,
      module: Optional[str],
      overloads: Sequence[PythonSignatureNativeFunctionPair],
      *,
      method: bool,
      symint: bool = True,
  ) -> str:
      """
      Generate a python binding for all overloads of an op.
      """
      pycname = get_pycname(name)
      noarg = is_noarg(overloads)
      namedtuple_inits, namedtuple_typenames = emit_namedtuple_call(
          overloads
      )
  
      method_header = ["HANDLE_TH_ERRORS"]
      method_header += namedtuple_inits
      method_header += (
          ["const Tensor& self = THPVariable_Unpack(self_);"]
          if method
          else []
      )
  
      method_footer = ([] if noarg else ["Py_RETURN_NONE;"]) + [
          "END_HANDLE_TH_ERRORS"
      ]
  
      traceable = (
          "true"
          if all(should_trace(o.function) for o in overloads)
          else "false"
      )
  
      grouped_overloads: Sequence[
          PythonSignatureGroup
      ] = group_overloads(overloads, symint=symint)
      is_singleton = len(grouped_overloads) == 1
      signatures: List[str] = []
      dispatch: List[str] = []
      for overload_index, overload in enumerate(grouped_overloads):
          signature = overload.signature.signature_str(symint=symint)
          signatures.append(f"{cpp_string(str(signature))},")
          dispatch_body = emit_dispatch_case(
              overload, namedtuple_typenames, symint=symint
          )
          dispatch.append(
              PY_VARIABLE_CASE.substitute(
                  overload_index=overload_index, body=dispatch_body
              )
              if not is_singleton
              else dispatch_body
          )
  
      if noarg:
          template = PY_VARIABLE_METHOD_NOARGS
      elif is_singleton:
          template = PY_VARIABLE_METHOD_VARARGS_SINGLETON
      else:
          template = PY_VARIABLE_METHOD_VARARGS
  
      return template.substitute(
          name=name,
          pycname=pycname,
          method_header=method_header,
          max_args=max(
              o.signature.arguments_count() for o in overloads
          ),
          signatures=signatures,
          traceable=traceable,
          check_has_torch_function=gen_has_torch_function_check(
              name=name,
              module=module,
              noarg=noarg,
              method=method,
          ),
          dispatch=dispatch,
          method_footer=method_footer,
          self_="self_" if method else "nullptr",
      )
  
imports: import itertools
  import re
  from collections import defaultdict
  from typing import Callable, Dict, Iterable, List, Optional, Sequence, Set, Tuple
  import yaml
  from torchgen.api import cpp
  from torchgen.api.python import arg_parser_output_exprs, cpp_dispatch_exprs, cpp_dispatch_target, dispatch_lambda_args, dispatch_lambda_exprs, dispatch_lambda_return_str, has_tensor_options, namedtuple_fieldnames, PythonSignature, PythonSignatureDeprecated, PythonSignatureGroup, PythonSignatureNativeFunctionPair, signature, signature_from_schema
  from torchgen.code_template import CodeTemplate
  from torchgen.context import with_native_function
  from torchgen.gen import cpp_string, parse_native_yaml, parse_tags_yaml
  from torchgen.model import Argument, BaseOperatorName, FunctionSchema, NativeFunction, Type, Variant
  from torchgen.utils import FileManager, split_name_params
  from torchgen.yaml_utils import YamlLoader
  from .gen_trace_type import should_trace
label_desc: Use image node_id 24 for calling a global function with example usage: method_impl(name, module, overloads) and returns: template