Widen AlphaDropout test tolerance

Author: darsnack

test/layers/normalisation.jl

@@ -78,16 +78,16 @@ end
 
     y = evalwgrad(m, x)
     # Should preserve unit mean and variance
-    @test mean(y) ≈ 0 atol=0.1
-    @test var(y) ≈ 1 atol=0.1
+    @test mean(y) ≈ 0 atol=0.2
+    @test var(y) ≈ 1 atol=0.2
 
     testmode!(m, true) # should override istraining
     @test evalwgrad(m, x) == x
 
     testmode!(m, false)
     y = evalwgrad(m, x)
-    @test mean(y) ≈ 0 atol=0.1
-    @test var(y) ≈ 1 atol=0.1
+    @test mean(y) ≈ 0 atol=0.2
+    @test var(y) ≈ 1 atol=0.2
 
     # Known good value ranges
     # Values taken from https://github.com/pytorch/pytorch/blob/v1.10.0/test/cpp/api/modules.cpp#L1337-L1338