class_docstr: A Stage represents schedule for one operation.
class_docstr_tok: ["A","Stage","represents","schedule","for","one","operation","."]
docstr: Compute the current stage via rolling buffering.
  
  This can only be applied to intermediate stage.
  This will change the storage cost of the current stage.
code: def rolling_buffer(self):
      """Compute the current stage via rolling buffering.
  
      This can only be applied to intermediate stage.
      This will change the storage cost of the current stage.
      """
      _ffi_api.StageRollingBuffer(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 20 for calling the Stage obj's underlying member method code with example usage: obj.rolling_buffer() without return types