Merge #1473

1473: Fix RNN tests on GPU r=DhairyaLGandhi a=jeremiedb

Fix for RNN on CUDA, as discussed in #1367 .

Co-authored-by: jeremie.db <[email protected]>

Author: bors[bot]

test/cuda/curnn.jl

@@ -1,5 +1,4 @@
 using Flux, CUDA, Test
-using Flux: pullback
 
 @testset for R in [RNN, GRU, LSTM]
   m = R(10, 5) |> gpu
@@ -9,7 +8,7 @@ using Flux: pullback
   θ = gradient(() -> sum(m(x)), params(m))
   @test x isa CuArray
   @test θ[m.cell.Wi] isa CuArray
-  @test_broken collect(m̄[].cell[].Wi) == collect(θ[m.cell.Wi])
+  @test collect(m̄[].cell.Wi) == collect(θ[m.cell.Wi])
 end
 
 @testset "RNN" begin
@@ -34,9 +33,9 @@ end
     cum̄, cux̄ = cuback(gpu(ȳ))
 
     @test x̄ ≈ collect(cux̄)
-    @test_broken m̄[].cell[].Wi ≈ collect(cum̄[].cell[].Wi)
-    @test_broken m̄[].cell[].Wh ≈ collect(cum̄[].cell[].Wh)
-    @test_broken m̄[].cell[].b ≈ collect(cum̄[].cell[].b)
+    @test m̄[].cell.Wi ≈ collect(cum̄[].cell.Wi)
+    @test m̄[].cell.Wh ≈ collect(cum̄[].cell.Wh)
+    @test m̄[].cell.b ≈ collect(cum̄[].cell.b)
     if m̄[].state isa Tuple
       for (x, cx) in zip(m̄[].state, cum̄[].state)
         @test x ≈ collect(cx)