chainer.functions.average_pooling_2d¶

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.

Parameters:	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.
Returns:	Output variable.
Return type:	Variable

Note

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