chainer.functions.average_pooling_2d(x, ksize, stride=None, pad=0)[source]

Spatial average pooling function.

This function acts similarly to Convolution2D, but it computes the average of input spatial patch for each channel without any parameter instead of computing the inner products.

  • x (Variable) – Input variable.
  • ksize (int or pair of ints) – Size of pooling window. ksize=k and ksize=(k, k) are equivalent.
  • stride (int or pair of ints or None) – Stride of pooling applications. stride=s and stride=(s, s) are equivalent. If None is specified, then it uses same stride as the pooling window size.
  • pad (int or pair of ints) – Spatial padding width for the input array. pad=p and pad=(p, p) are equivalent.

Output variable.

Return type:



This function currently does not support cover_all mode as max_pooling_2d(). Average pooling runs in non-cover-all mode.