class_docstr: Upsampling over a set of 2d planes w/ indices used for max pooling.
class_docstr_tok: ["Upsampling","over","a","set","of","2d","planes","w\/","indices","used","for","max","pooling","."]
code: def backward(self, indexes, grad_outputs):
      return Upsampling2DGrad(self).apply(grad_outputs)
  
imports: import numpy
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.functions.pooling import pooling_2d
  from chainer.utils import conv
  from chainer.utils import type_check
label_desc: Use image node_id 5 for calling the Upsampling2D obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: Upsampling2DGrad