class_docstr: Schedule for all the stages.
class_docstr_tok: ["Schedule","for","all","the","stages","."]
docstr: Build a normalized schedule from the current schedule.
  
  Insert necessary rebase to make certain iter var to start from 0.
  This is needed before bound inference and followup step.
  
  Returns
  -------
  sch : Schedule
      The normalized schedule.
code: def normalize(self):
      """Build a normalized schedule from the current schedule.
  
      Insert necessary rebase to make certain iter var to start from 0.
      This is needed before bound inference and followup step.
  
      Returns
      -------
      sch : Schedule
          The normalized schedule.
      """
      return _ffi_api.ScheduleNormalize(self)
  
imports: import collections
  import inspect
  from typing import Callable, List
  import tvm._ffi
  from tvm._ffi.base import string_types
  from tvm.ir import container
  from tvm.runtime import Object, convert
  from tvm.tir import Buffer, IndexMap, IterVar, Var
  from .None import _ffi_api
  from .None import tensor
label_desc: Use image node_id 2 for calling the Schedule obj's underlying member method code with example usage: obj.normalize() and returns: _ffi_api