fix tensorflow

src/backend/tensorflow/graph.jl

@@ -1,5 +1,5 @@
 using Base: @get!
-using DataFlow: Constant, constant, Split
+using DataFlow: constant, Split
 using DataFlow.Interpreter
 using DataFlow.Interpreter: stack
 using TensorFlow: RawTensor, TFException
@@ -53,33 +53,34 @@ graph(p::MaxPool, x) =
 graph(op::Op, xs...) = op.f(xs...)
 
 function graph(ctx::Context, model, args...)
-  node = graph(model, interpv(ctx, args)...)
+  node = graph(model, args...)
   node isa Tensor && (ctx[:stacks][node.op.name] = stack(ctx))
   return node
 end
 
 interp(ctx, c::Conv2D, x) =
-  nn.conv2d(interpv(ctx, x), interp(ctx, Constant(c.filter)), [1,c.stride...,1], "VALID")
+  nn.conv2d(x, interp(ctx, constant(c.filter)), [1,c.stride...,1], "VALID")
 
-interp{T<:AArray}(ctx, p::Constant{Flux.Param{T}}) =
-  haskey(ctx[:params], p.value) ?
-     ctx[:params][p.value] :
-    (ctx[:params][p.value] =
+param(ctx, p::Flux.Param{<:AArray}) =
+  haskey(ctx[:params], p) ?
+     ctx[:params][p] :
+    (ctx[:params][p] =
        ctx[:variables] ?
-        Variable(Float32.(p.value.x)) :
+        Variable(Float32.(p.x)) :
         placeholder(Float32))
 
-interp(ctx, p::Constant) = p.value
+param(ctx, x) = x
 
 function interp(ctx, model, args...)
+  args = param.(ctx, args)
   g = Flux.graph(model)
   g == nothing && return graph(ctx, model, args...)
   DataFlow.iscyclic(g) && error("This model has a cycle; try unrolling it first.")
-  interpret(ctx, g, interpv(ctx, args)...)
+  interpret(ctx, g, args...)
 end
 
 function tograph(model, args...; variables = false)
-  ctx = Context(mux(iline, ilambda, interp),
+  ctx = Context(mux(iline, iconst, ilambda, iargs, ituple, interp),
                 params = ObjectIdDict(), stacks = Dict(), variables = variables)
   out = interp(ctx, model, map(constant, args)...)
   return ctx[:params], ctx[:stacks], out