code: def make_stride_vars_cache(self):
      cache = self._lru_cache(self._stride_vars)
  
      def stride_vars(
          index: Expr,
          vars: List[sympy.Symbol],
          support_vars: Optional[List[sympy.Symbol]] = None,
      ) -> List[Expr]:
          if not support_vars:
              support_vars = vars
          return cache(index, tuple(vars), tuple(support_vars))
  
      return stride_vars
  
imports: import functools
  import itertools
  import logging
  from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Union
  import sympy
  from sympy import Expr
  from torch.fx.experimental.symbolic_shapes import ShapeEnv
  from torch.utils._sympy.functions import FloorDiv, ModularIndexing
  from torch.utils._sympy.value_ranges import bound_sympy
  from .utils import sympy_subs, sympy_symbol, VarRanges
  from .virtualized import V
label_desc: Use image node_id 29 for calling the SizeVarAllocator obj's underlying member method code with example usage: obj.make_stride_vars_cache() and returns: stride_vars, cache