[Test] add PyTorch golden value for cnv-w1a1

tests/test_brevitas_cnv.py

@@ -63,5 +63,22 @@ def test_brevitas_trained_cnv_w1a1_pytorch():
     input_tensor = torch.from_numpy(input_tensor).float()
     assert input_tensor.shape == (1, 3, 32, 32)
     # do forward pass in PyTorch/Brevitas
-    cnv.forward(input_tensor).detach().numpy()
-    # TODO verify produced answer
+    produced = cnv.forward(input_tensor).detach().numpy()
+    expected = np.asarray(
+        [
+            [
+                3.7939777,
+                -2.3108773,
+                0.06898145,
+                0.55185133,
+                0.37939775,
+                -1.9659703,
+                -0.3104164,
+                -2.828238,
+                2.6902752,
+                0.48286998,
+            ]
+        ],
+        dtype=np.float32,
+    )
+    assert np.isclose(produced, expected, atol=1e-3).all()