Misc. Utilities

layer(v)

Return the computation wrapped inside v and inside any mutable wrappers.

Examples

julia> using NaiveNASflux, Flux

julia> layer(fluxvertex(Dense(2,3), inputvertex("in", 2)))
Dense(2 => 3)       # 9 parameters

KernelSizeAligned(Δsize; pad)
KernelSizeAligned(Δs::Integer...;pad)

Strategy for changing kernel size of convolutional layers where filters remain phase aligned. In other words, the same element indices are removed/added for all filters and only 'outer' elements are dropped or added.

Call with vertex as input to change weights.

Examples

julia> using NaiveNASflux, Flux

julia> cv = fluxvertex(Conv((3,3), 1=>1;pad=SamePad()), conv2dinputvertex("in", 1));

julia> cv(ones(Float32, 4,4,1,1)) |> size
(4, 4, 1, 1)

julia> layer(cv).weight |> size
(3, 3, 1, 1)

julia> cv |> KernelSizeAligned(-1, 1; pad=SamePad());

julia> cv(ones(Float32, 4,4,1,1)) |> size
(4, 4, 1, 1)

julia> layer(cv).weight |> size
(2, 4, 1, 1)

NeuronUtilityEvery{N,T}
NeuronUtilityEvery(n::Int, method::T)

Calculate neuron utility using method every n:th call.

Useful to reduce runtime overhead.