rebase

test/layers/conv.jl

@@ -101,23 +101,4 @@ end
     randn(Float32, 10,10,1,1) |> Conv((6,1), 1=>1, Flux.σ)
     true
   end
-@testset "CrossCor" begin
-  x = rand(Float32, 28, 28, 1, 1)
-  w = rand(2,2,1,1)
-  y = CrossCor(w, [0.0])
-  x_pred = y(x)
 
-  @test sum(w .* x[1:2, 1:2, :, :]) == x_pred[1, 1, 1, 1]
-  
-  r = zeros(Float32, 28, 28, 1, 5)
-  m = Chain(
-    CrossCor((2, 2), 1=>16, relu),
-    MaxPool((2,2)),
-    CrossCor((2, 2), 16=>8, relu),
-    MaxPool((2,2)),
-    x -> reshape(x, :, size(x, 4)),
-    Dense(288, 10), softmax)
-
-  @test size(m(r)) == (10, 5)
-  
-end