more correct
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@ -20,10 +20,10 @@ graph(::typeof(hcat), xs...) = concat(1, xs)
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graph(::typeof(seq), xs, n) = TensorFlow.unpack(xs, num = n, axis = 1)
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for op in (tanh, *, .*, +, -)
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@eval graph(::typeof($op), args...) = $op(node(args)...)
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@eval graph(::typeof($op), args...) = $op(args...)
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end
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graph(::typeof(.-), args...) = -(node(args)...)
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graph(::typeof(.-), args...) = -(args...)
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# reshape hack due to https://github.com/malmaud/TensorFlow.jl/issues/79
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batchsize(x::Tensor) = reduce_sum(slice(TensorFlow.shape(x), [0], [1]))
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@ -51,7 +51,7 @@ interp{T<:AArray}(ctx, p::Constant{Flux.Param{T}}) =
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ctx[:params][p.value] :
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(ctx[:params][p.value] = Variable(convertel(Float32, p.value.x)))
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interp(ctx, p::Constant) = p.value
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interp(ctx, p::Constant) = node(p.value)
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function interp(ctx, model, args...)
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g = Flux.graph(model)
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