loop lifting
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@ -9,6 +9,7 @@ include("utils.jl")
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include("compiler/diff.jl")
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include("compiler/code.jl")
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include("compiler/loops.jl")
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include("layers/dense.jl")
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include("layers/shape.jl")
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@ -6,7 +6,7 @@ export @model
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function process_func(ex, params = [])
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@capture(shortdef(ex), (args__,) -> body_)
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body = Flow.il(graphm(unblock(body)))
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body = @> body MacroTools.flatten liftloops!(params) graphm Flow.il
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body = mapconst(x -> x in params ? :(self.$x) : x, body)
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return args, body
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end
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@ -0,0 +1,49 @@
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type Delay
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name::Symbol
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end
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function liftloops!(ex, params)
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e = Flow.normedges(ex)
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hidden = intersect((b.args[1] for b in ex.args), params)
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edges = Dict(h => gensym("edge") for h in hidden)
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for b in ex.args
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b.args[2] = MacroTools.postwalk(x -> get(edges, x, x), b.args[2])
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end
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for (h, e) in edges
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unshift!(ex.args, :($e = $(Delay(h))($h)))
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end
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return ex
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end
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bumpinput(i::ModelInput) = isa(i.name, Integer) ? ModelInput(i.name + 1) : i
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bumpinput(x) = x
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bumpinputs(v::IVertex) = mapconst(bumpinput, v)
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function break!(model)
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iscyclic(graph(model)) || return model
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bumpinputs(graph(model))
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end
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# r = Recurrent(784, 10, 50)
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# break!(r)
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@model type Recurrent
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Wxh; Whh; Bh
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Wxy; Why; By
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hidden
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function (x)
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hidden = σ( Wxh*x + Whh*hidden + Bh )
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y = σ( Wxy*x + Why*hidden + By )
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end
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end
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Recurrent(in::Integer, out::Integer, hidden::Integer; init = initn) =
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Recurrent(init(hidden, in), init(hidden, hidden), init(hidden),
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init(out, in), init(out, hidden), init(hidden),
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zeros(hidden))
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Base.show(io::IO, r::Recurrent) =
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print(io, "Flux.Recurrent(...)")
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@ -21,13 +21,3 @@ end
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Sigmoid(in::Integer, out::Integer; init = randn) =
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Sigmoid(Dense(in, out, init = init))
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# @model type Recurrent
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# Wxh; Whh; Bh
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# Wxy; Why; By
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#
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# function (x)
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# hidden = σ( Wxh*x + Whh*hidden + Bh )
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# y = σ( Wxy*x + Why*hidden + By )
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# end
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# end
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