code: def _create_constraint(
      w_tensor,
      t_id,
      dim,
      constraint_range,
      shared=None,
      debug_name=None,
  ):
      return Constraint._create(
          w_tensor, t_id, dim, constraint_range, shared, debug_name
      )
  
imports: import builtins
  import dataclasses
  import inspect
  import math
  import sys
  import weakref
  from collections import defaultdict
  from typing import Any, Callable, Dict, List, Optional, Tuple, TYPE_CHECKING, Union
  import torch
  from torch._subclasses.fake_tensor import FakeTensor
  from .exported_program import ExportedProgram
label_desc: Use image node_id 3 for calling a global function with example usage: _create_constraint(w_tensor, t_id, dim, constraint_range, shared, debug_name) and returns: Constraint