test: add tests comparing the fused op with unfused op

Project.toml

@@ -1,7 +1,7 @@
 name = "LuxLib"
 uuid = "82251201-b29d-42c6-8e01-566dec8acb11"
 authors = ["Avik Pal <[email protected]> and contributors"]
-version = "1.2.0"
+version = "1.2.1-DEV"
 
 [deps]
 ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"

test/common_ops/dense_tests.jl

@@ -3,6 +3,9 @@ using LuxLib, LuxTestUtils, Random, Test, Zygote, NNlib, StableRNGs
 
 anonact = x -> x^3
 
+dense_simple(act, w, x, ::Nothing) = act.(w * x)
+dense_simple(act, w, x, b) = act.(w * x .+ b)
+
 function run_dense_testing(Tw, Tx, M, N, hasbias, activation, aType, mode, ongpu)
     rng = StableRNG(1234)
 
@@ -44,6 +47,20 @@ function run_dense_testing(Tw, Tx, M, N, hasbias, activation, aType, mode, ongpu
         (w, x, b) -> __f(activation, w, x, b)
     end
     test_gradients(__f_grad, w, x, bias; atol, rtol, skip_backends, soft_fail=fp16)
+
+    y_simple = dense_simple(activation, w, x, bias)
+    y_zyg = fused_dense_bias_activation(activation, w, x, bias)
+    @test y_simple≈y_zyg atol=atol rtol=rtol
+
+    _, ∂w_true, ∂x_true, ∂b_true = Zygote.gradient(
+        sum ∘ dense_simple, activation, w, x, bias)
+    _, ∂w_zyg, ∂x_zyg, ∂b_zyg = Zygote.gradient(
+        sum ∘ fused_dense_bias_activation, activation, w, x, bias)
+    @test ∂w_true≈∂w_zyg atol=atol rtol=rtol
+    @test ∂x_true≈∂x_zyg atol=atol rtol=rtol
+    if bias !== nothing
+        @test ∂b_true≈∂b_zyg atol=atol rtol=rtol
+    end
 end
 
 const ALL_TEST_CONFIGS = Iterators.product(