more intuitive naming

src/backend/mxnet/graph.jl

@@ -69,17 +69,17 @@ graph(ctx::Context, p::Constant) = node(p.value)
 
 function graph(ctx::Context, model, args...)
   g = Flux.graph(model)
-  g == nothing && return register(ctx, @ithrow ctx graph(model, args...))
+  g == nothing && return register(ctx, @icatch ctx graph(model, args...))
   DataFlow.iscyclic(g) && error("This model has a cycle; try unrolling it first.")
   interpret(ctx, g, args...)
 end
 
-graph′(ctx::Context, args...) = @ithrow ctx graph(ctx, args...)
+graph′(ctx::Context, args...) = @icatch ctx graph(ctx, args...)
 
 function tograph(model, args...)
   ctx = Context(mux(iline, ilambda, imap, iargs, ituple, graph′),
                 params = Dict(), stacks = Dict())
-  out = @icatch graph(ctx, model, args...)
+  out = @ithrow graph(ctx, model, args...)
   return ctx[:params], ctx[:stacks], out
 end
 

src/compiler/interp.jl

@@ -27,7 +27,7 @@ imap(f, args...) = f(args...)
 
 function interp(ctx, f, xs...)
   g = graph(f)
-  @ithrow(ctx, g ≠ nothing ?
+  @icatch(ctx, g ≠ nothing ?
     interpret(ctx, reifyparams(g), xs...) :
     f(xs...))
 end
@@ -36,7 +36,7 @@ end
 
 function interpmodel(m, args::Batch...)
   ctx = Context(mux(iline, ilambda, iconst, iargs, ituple, interp))
-  rebatch(@icatch interp(ctx, m, map(rawbatch, args)...))
+  rebatch(@ithrow interp(ctx, m, map(rawbatch, args)...))
 end
 
 interpmodel(m, args...) = unbatchone(interpmodel(m, batchone(args)...))