make tf model running easier

src/backend/tensorflow/model.jl

@@ -53,7 +53,7 @@ function runmodel(m::Model, args...)
 end
 
 function (m::Model)(args::Batch...)
-  runmodel(m, args...)
+  runmodel(m, map(x -> convertel(Float32, x), args)...)
 end
 
 function (m::Model)(args...)

src/backend/tensorflow/tensorflow.jl

@@ -1,7 +1,7 @@
 module TF
 
 using ..Flux, DataFlow, TensorFlow, Juno
-import Flux: accuracy, rebatch
+import Flux: accuracy, rebatch, convertel
 
 export tf
 

src/data.jl

@@ -1,5 +1,8 @@
 export onehot, onecold, chunk, partition, batches, sequences
 
+convertel(T::Type, xs::AbstractArray) = map(x->convert(T, x), xs)
+convertel{T}(::Type{T}, xs::AbstractArray{T}) = xs
+
 """
     onehot('b', ['a', 'b', 'c', 'd']) => [false, true, false, false]
 

test/backend.jl

@@ -1,4 +1,4 @@
-xs = rand(Float32, 20)
+xs = rand(20)
 
 d = Affine(20, 10)