clean up interpreter imports

src/Flux.jl

@@ -4,7 +4,7 @@ using MacroTools, Lazy, DataFlow, Juno
 using DataFlow: graphm, syntax, prewalk!, postwalk!, prewalk, postwalk,
   iscyclic, Constant, constant, isconstant, group, Split, splitnode,
   detuple, value, inputs, thread!, value, inputs, Split, splitnode, inputnode,
-  spliceinputs, bumpinputs, Frame
+  spliceinputs, bumpinputs, Frame, applylines
 using Juno: Tree, Row
 
 # Zero Flux Given

src/backend/mxnet/graph.jl

@@ -7,9 +7,8 @@ function nodename(s::mx.SymbolicNode)
 end
 
 using Base: @get!
-using DataFlow: Constant, constant, Context, interpret, Split,
-  interpv, ituple, ilambda, iconst, iline, iargs, stack, mux,
-  @ithrow, @icatch
+using DataFlow: Constant, constant
+using DataFlow.Interpreter
 using Flux: imap
 
 # TODO: implement Julia's type promotion rules

src/backend/tensorflow/graph.jl

@@ -1,6 +1,6 @@
 using Base: @get!
-using DataFlow: Constant, constant, Context, interpret, Split,
-  interpv, ituple, ilambda, iconst, iline, stack, mux
+using DataFlow: Constant, constant, Split
+using DataFlow.Interpreter
 using Flux: imap
 using TensorFlow: RawTensor
 

src/compiler/interp.jl

@@ -1,4 +1,4 @@
-using DataFlow: mux, interpret, interpv, ituple, ilambda, iconst, Context
+using DataFlow.Interpreter
 
 function astuple(xs::Vertex)
   isconstant(xs) && isa(value(xs).value, Tuple) ? value(xs).value :

src/compiler/shape.jl

@@ -1,4 +1,4 @@
-using DataFlow: ilinev, iargs, applylines, Line
+using DataFlow.Interpreter
 
 type Hint
   typ