[Test] extend quant weight conv testcase, now passing

Author: maltanar

tests/transformation/test_conv_lowering.py

@@ -43,14 +43,19 @@
 from qonnx.transformation.infer_shapes import InferShapes
 from qonnx.transformation.lower_convs_to_matmul import LowerConvsToMatMul
 from qonnx.util.basic import gen_finn_dt_tensor, qonnx_make_model
-from qonnx.util.test import download_model
+from qonnx.util.test import download_model, get_golden_in_and_output
 
 
 def test_conv_lowering_quant_weights():
     model_name = "FINN-CNV_W2A2"
     model = download_model(model_name, return_modelwrapper=True, do_cleanup=True)
     model = model.transform(LowerConvsToMatMul())
     assert model.get_nodes_by_op_type("Conv") == []
+    input_t, golden_t = get_golden_in_and_output(model_name)
+    input_dict = {model.graph.input[0].name: input_t}
+    prod_dict = oxe.execute_onnx(model, input_dict)
+    prod_t = prod_dict[model.graph.output[0].name]
+    assert (prod_t == golden_t).all()
 
 
 def test_conv_lowering_convmnist():