class_docstr: Base class for YOLOv2 and YOLOv2Tiny.
  
  A subclass of this class should have :obj:`_extractor`,
  :obj:`_models`, and :obj:`_anchors`.
class_docstr_tok: ["Base","class","for","YOLOv2","and","YOLOv2Tiny",".","A","subclass","of","this","class","should","have",":","obj",":","`","_extractor","`",",",":","obj",":","`","_models","`",",","and",":","obj",":","`","_anchors","`","."]
code: def to_cpu(self):
      super(YOLOv2Base, self).to_cpu()
      self._default_bbox = cuda.to_cpu(self._default_bbox)
  
imports: from __future__ import division
  import itertools
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer.links import Convolution2D
  from chainercv.links import Conv2DBNActiv
  from chainercv import utils
  from chainercv.links.model.yolo.yolo_base import YOLOBase
label_desc: Use image node_id 2 for calling the YOLOv2Base obj's underlying member method code with example usage: obj.to_cpu() without return types