diff --git a/model_zoo/official/cv/mobilenetv2_quant/eval.py b/model_zoo/official/cv/mobilenetv2_quant/eval.py
index 76850fabec..b49c6848e4 100644
--- a/model_zoo/official/cv/mobilenetv2_quant/eval.py
+++ b/model_zoo/official/cv/mobilenetv2_quant/eval.py
@@ -41,10 +41,12 @@ if __name__ == '__main__':
         config_device_target = config_ascend_quant
         context.set_context(mode=context.GRAPH_MODE, device_target="Ascend",
                             device_id=device_id, save_graphs=False)
+        symmetric_list = [True, False]
     elif args_opt.device_target == "GPU":
         config_device_target = config_gpu_quant
         context.set_context(mode=context.GRAPH_MODE, device_target="GPU",
                             device_id=device_id, save_graphs=False)
+        symmetric_list = [False, False]
     else:
         raise ValueError("Unsupported device target: {}.".format(args_opt.device_target))
 
@@ -53,7 +55,7 @@ if __name__ == '__main__':
     # convert fusion network to quantization aware network
     quantizer = QuantizationAwareTraining(bn_fold=True,
                                           per_channel=[True, False],
-                                          symmetric=[True, False])
+                                          symmetric=symmetric_list)
     network = quantizer.quantize(network)
     # define network loss
     loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean')