AdaptiveMaxPool(out::NTuple)

Adaptive max pooling layer. Calculates the necessary window size such that its output has size(y)[1:N] == out.

Expects as input an array with ndims(x) == N+2, i.e. channel and batch dimensions, after the N feature dimensions, where N = length(out).

See also MaxPool, AdaptiveMeanPool.

Examples

			julia> xs = rand(Float32, 100, 100, 3, 50);  # batch of 50 RGB images

julia> AdaptiveMaxPool((25, 25))(xs) |> size
(25, 25, 3, 50)

julia> MaxPool((4,4))(xs) ≈ AdaptiveMaxPool((25, 25))(xs)
true