code: def normalize_to_iter_sum(index, input_iters):
      """Normalize expr to iter sum.
  
      The normalized result ensures that
      each scale is in the form of (symbol_prod) * cscale
      It will also sort in desc order by cscale then len(symbol_prod).
  
      Parameters
      ----------
      index : PrimExpr
          The input index
  
      input_iters : Map[Var, Range]
          The domain of each input iterators.
  
      Returns
      -------
      iter_sum: IterSumExpr
          The result iter sum
  
      Note
      ----
      This function does best effort detection, so some undetected
      part can go into iter_sum.base
  
      This function is useful to decide the stride multiplier and
      division factor in buffer access patterns.
      """
      return _ffi_api.NormalizeToIterSum(index, input_iters)
  
imports: from enum import IntEnum
  import tvm._ffi
  from tvm.runtime import Object
  from tvm.ir import PrimExpr
  from .None import _ffi_api
label_desc: Use image node_id 2 for calling a global function with example usage: normalize_to_iter_sum(index, input_iters) and returns: _ffi_api