chainer.functions.max_pooling_nd¶
-
chainer.functions.
max_pooling_nd
(x, ksize, stride=None, pad=0, cover_all=True)[source]¶ N-dimensionally spatial max pooling function.
This function provides a N-dimensionally generalized version of
max_pooling_2d()
. This acts similarly toConvolutionND
, 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 tuple of ints) – Size of pooling window.
ksize=k
andksize=(k, k, ..., k)
are equivalent. - stride (int or tuple of ints or None) – Stride of pooling applications.
stride=s
andstride=(s,s, ..., s)
are equivalent. IfNone
is specified, then it uses same stride as the pooling window size. - pad (int or tuple of ints) – Spatial padding width for the input array.
pad=p
andpad=(p, 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: