chainer.functions.max_pooling_2d(x, ksize, stride=None, pad=0, cover_all=True)[source]

Spatial max pooling function.

This function acts similarly to Convolution2D, but it computes the maximum 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.
  • cover_all (bool) – If True, all spatial locations are pooled into some output pixels. It may make the output size larger.

Output variable.

Return type: