diff --git a/src/finn/transformation/fpgadataflow/convert_to_hw_layers.py b/src/finn/transformation/fpgadataflow/convert_to_hw_layers.py
index e2f638ed62..897d714bf8 100644
--- a/src/finn/transformation/fpgadataflow/convert_to_hw_layers.py
+++ b/src/finn/transformation/fpgadataflow/convert_to_hw_layers.py
@@ -1644,7 +1644,6 @@ def apply(self, model):
                             [mt_output],
                             domain="finn.custom_op.fpgadataflow",
                             backend="fpgadataflow",
-                            resType="lut",
                             PE=pe,
                             Dim=[mm_in_shape[1], mm_in_shape[2]],
                             Channels=channels,
@@ -1673,7 +1672,6 @@ def apply(self, model):
                             [mm_output],
                             domain="finn.custom_op.fpgadataflow",
                             backend="fpgadataflow",
-                            resType="lut",
                             PE=pe,
                             Dim=[mm_in_shape[1], mm_in_shape[2]],
                             Channels=channels,
diff --git a/tests/fpgadataflow/test_depthwise_convolution.py b/tests/fpgadataflow/test_depthwise_convolution.py
index bde5e918e3..24bc2f3afe 100644
--- a/tests/fpgadataflow/test_depthwise_convolution.py
+++ b/tests/fpgadataflow/test_depthwise_convolution.py
@@ -190,7 +190,7 @@ def test_depthwise_conv_hw_cppsim(act, pe, k, stride, padding):
         if n.op_type.startswith("ConvolutionInputGenerator"):
             convinputgen_node = getCustomOp(n)
             convinputgen_node.set_nodeattr("SIMD", pe)
-        elif n.op_type.startswith("VectorVectorActivation"):
+        elif n.op_type.startswith("VVAU"):
             vvau_node = getCustomOp(n)
             vvau_node.set_nodeattr("PE", pe)
     new_model = new_model.transform(SetExecMode("cppsim"))
@@ -235,7 +235,7 @@ def test_depthwise_conv_hw_rtlsim(act, pe, k, stride, padding):
         if n.op_type.startswith("ConvolutionInputGenerator"):
             convinputgen_node = getCustomOp(n)
             convinputgen_node.set_nodeattr("SIMD", pe)
-        elif n.op_type.startswith("VectorVectorActivation"):
+        elif n.op_type.startswith("VVAU"):
             vvau_node = getCustomOp(n)
             vvau_node.set_nodeattr("PE", pe)