Flux.jl/src/compiler/loops.jl

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export unroll
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type Offset
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name::Symbol
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n::Int
default::Nullable{Param}
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end
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Offset(name, n) = Offset(name, n, nothing)
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function liftloops(ex, params)
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ex = DataFlow.normedges(ex)
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MacroTools.postwalk(ex) do ex
@capture(ex, x_{n_}) || return ex
:($(Offset(x,n))($x))
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end
end
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function hasloops(model)
g = graph(model)
g == nothing && return false
iscyclic(g) && return true
result = false
map(m -> hasloops(m) && (result = true), g)
return result
end
function atomise(model)
postwalk(graph(model)) do v
hasloops(value(v)) || return v
spliceinputs(atomise(value(v)), inputs(v)...)
end
end
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function collect_state(v::IVertex)
state = typeof(v)[]
offset = Int[]
default = Param[]
prewalk!(v) do v
isa(value(v), Offset) || return v
if (i = findfirst(state, v[1])) == 0
push!(state, v[1])
push!(offset, value(v).n)
push!(default, get(value(v).default))
else
offset[i] = min(offset[i], value(v).n)
end
v
end
return state, offset, default
end
hiddeninput(n) = vertex(Split(n), inputnode(1))
function create_steps(v::IVertex, n)
[bumpinputs(spliceinputs(v, hiddeninput(i))) for i = 1:n]
end
function unrollgraph(v::IVertex, n)
state, offset, default = collect_state(v)
v = group(group(state...), v)
steps = create_steps(v, n)
for i = 1:n
vars = inputs(steps[i][1])
prewalk!(steps[i]) do v
isa(value(v), Offset) || return v
stepid = value(v).n + i
varid = findfirst(vars,v[1])
if stepid 1:n
steps[stepid][1,varid]
elseif stepid < 1
vertex(:input, constant(varid))
elseif stepid > n
constant(:output, constant(varid))
end
end
end
group(steps[end][1],group(map(x->x[2], steps)...))
end
unrollgraph(atomise(Chain(r,r)), 5) |> detuple |> syntax |> prettify
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type Unrolled <: Model
model
graph::IVertex{Any}
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state::Vector{Any}
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steps::Int
end
graph(u::Unrolled) = u.graph
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unroll(model, n) = Unrolled(model, unrollgraph(model, n)..., n)
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@net type Recurrent
y
function (x)
y = σ(x, y{-1})
end
end
r = Recurrent(rand(5))