Flux.jl/src/tracker/Tracker.jl

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module Tracker
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export TrackedArray, TrackedVector, TrackedMatrix, param, back!
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tracker(x) = nothing
istracked(x) = tracker(x) nothing
isleaf(x) = !istracked(x) || isleaf(tracker(x))
data(x) = istracked(x) ? data(tracker(x)) : x
grad(x) = grad(tracker(x))
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struct Call{F,As<:Tuple}
func::F
args::As
end
Call(f, args...) = Call{typeof(f),typeof(args)}(f, args)
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(c::Call)() = c.func(data.(c.args)...)
mutable struct Tracked{T}
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ref::UInt32
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f::Call
data::T
grad::T
Tracked{T}(f::Call, data::T) where T = new(0, f, data)
Tracked{T}(f::Call, data::T, grad::T) where T = new(0, f, data, grad)
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end
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Tracked(f::Call, x) = Tracked{typeof(x)}(f, x)
track(f::Call, x) = Tracked(f, x)
track(f::Call) = track(f, f())
track(f, xs...) = track(Call(f, xs...))
istracked(x::Tracked) = true
isleaf(x::Tracked) = x.f == Call(nothing)
data(x::Tracked) = x.data
grad(x::Tracked) = x.grad
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include("back.jl")
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include("scalar.jl")
include("array.jl")
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include("numeric.jl")
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param(x::Number) = TrackedNumber(float(x))
param(xs::AbstractArray) = TrackedArray(float.(xs))
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using DataFlow
using DataFlow: inputnode, constant
vcall(f, args...) = vertex(DataFlow.Call(), constant(f), args...)
vcall(f::Broadcasted, args...) = vcall(broadcast, constant(f.f), args...)
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_graph(x::Tracked, inputs...; cache = ObjectIdDict()) =
vcall(x.f.func, map(x -> _graph(x, inputs...; cache = cache), x.f.args)...)
function _graph(x, inputs...; cache = ObjectIdDict())
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haskey(cache, x) && return cache[x]
i = findfirst(inputs, x)
cache[x] =
i > 0 ? inputnode(i) :
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istracked(x) ? _graph(tracker(x), inputs...; cache = cache) :
constant(x)
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end
function graph(f, args...)
inputs = param.(args)
_graph(f(inputs...), inputs...)
end
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import Adapt.adapt
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adapt(T, xs::TrackedArray) = param(adapt(T, data(xs)))
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end