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 double buffering.
  
  This can only be applied to intermediate stage.
  This will double the storage cost of the current stage.
  Can be useful to hide load latency.
code: def double_buffer(self):
      """Compute the current stage via double buffering.
  
      This can only be applied to intermediate stage.
      This will double the storage cost of the current stage.
      Can be useful to hide load latency.
      """
      _ffi_api.StageDoubleBuffer(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 19 for calling the Stage obj's underlying member method code with example usage: obj.double_buffer() without return types