56 lines
1.3 KiB
Julia
56 lines
1.3 KiB
Julia
using Flux: mapt, collectt, shapecheckt
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struct Exec
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session::Session
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input::Any
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output::Any
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params::Dict{Flux.Param,Tensor}
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stacks::Dict{Any,Any}
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end
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function makesession(model, inputs; session = Session(Graph()))
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inputs = mapt(_ -> placeholder(Float32), inputs)
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params, stacks, output = tograph(model, inputs...)
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run(session, global_variables_initializer())
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Exec(session, inputs, output, params, stacks)
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end
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retuple(xs) = xs
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retuple(xs::AbstractArray{<:AbstractArray}) = (retuple.(xs)...,)
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dictt(xs, ys) = Dict(zip(collectt(xs), collectt(ys)))
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function (m::Exec)(args...)
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shapecheckt(m.input, args)
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idict = dictt(m.input, args)
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pdict = Dict(t => p.x for (p, t) in m.params)
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retuple(run(m.session, m.output, merge(idict, pdict)))
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end
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mutable struct Model
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model::Any
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exec::Exec
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Model(model) = new(model)
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end
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tf(model) = Model(model)
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function (m::Model)(args...)
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args = mapt(x->Float32.(x), args)
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isdefined(m, :graph) || (m.exec = makesession(m.model, args))
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@tferr m.exec.stacks m.exec(args...)
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end
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for f in :[back!, update!].args
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@eval function Flux.$f(m::Model, args...)
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error($(string(f)) * " is not yet supported on TensorFlow models")
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end
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end
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# Recurrent Models
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using Flux: Stateful, SeqModel
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tf(m::Stateful) = Stateful(tf(m.model), m.istate, m.ostate)
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tf(m::SeqModel) = SeqModel(tf(m.model), m.steps)
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