chainer.functions.max_pooling_2d¶
-
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.Parameters: - x (Variable) – Input variable.
- ksize (int or pair of ints) – Size of pooling window.
ksize=k
andksize=(k, k)
are equivalent. - stride (int or pair of ints or None) – Stride of pooling applications.
stride=s
andstride=(s, s)
are equivalent. IfNone
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
andpad=(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.
Returns: Output variable.
Return type: