Flux.jl/src/layers/control.jl

type Chain
  layers::Vector{Any}
  Chain(xs...) = new([xs...])
end

@forward Chain.layers Base.getindex, Base.first, Base.last, Base.endof, Base.push!
@forward Chain.layers Base.start, Base.next, Base.done

(s::Chain)(x) = foldl((x, m) -> m(x), x, s.layers)

graph(s::Chain) =
  foldl((v, m) -> vertex(m, v), constant(inputnode(1)), s.layers)

Base.getindex(c::Chain, i::AbstractArray) = Chain(c.layers[i]...)
model abstract is pretty useless 2017-06-05 15:08:23 +00:00			`type Chain`
a bunch of stuff 2016-08-25 21:49:21 +00:00			`layers::Vector{Any}`
replace old shape inference system 2017-03-17 16:34:51 +00:00			`Chain(xs...) = new([xs...])`
a bunch of stuff 2016-08-25 21:49:21 +00:00			`end`

replace old shape inference system 2017-03-17 16:34:51 +00:00			`@forward Chain.layers Base.getindex, Base.first, Base.last, Base.endof, Base.push!`
iterate over chain 2017-03-07 14:37:37 +00:00			`@forward Chain.layers Base.start, Base.next, Base.done`
a bunch of stuff 2016-08-25 21:49:21 +00:00
			`(s::Chain)(x) = foldl((x, m) -> m(x), x, s.layers)`
training julia models 2017-06-12 11:39:34 +00:00
a bunch of stuff 2016-08-25 21:49:21 +00:00			`graph(s::Chain) =`
refactor input model 2016-10-25 22:10:35 +00:00			`foldl((v, m) -> vertex(m, v), constant(inputnode(1)), s.layers)`
basic convnet example working 2016-09-06 17:03:39 +00:00
better alternative to basemodel 2017-02-28 16:42:48 +00:00			`Base.getindex(c::Chain, i::AbstractArray) = Chain(c.layers[i]...)`