obj_classification run_demo.sh cannot directly run because of existing model name 'x'

[Jingqing3948]

when run obj-classification demo, the run_demo.sh will rename the onnx model as 'x'
but because the origin output_tensor_names had the 'x' tensor name, so the rename_onnx_model.py will exit with (-1)

root@instance-ff89xqcg:~/develop/Paddle-examples-for-AVH/object_classification# bash run_demo.sh --model MobileNetV3 --device cortex-m55
Device name is cortex-m55
Model name is MobileNetV3
--2024-03-26 16:08:29--  https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileNetV3_small_x0_35_ssld_infer.tar
Resolving paddle-imagenet-models-name.bj.bcebos.com (paddle-imagenet-models-name.bj.bcebos.com)... 100.67.200.6
Connecting to paddle-imagenet-models-name.bj.bcebos.com (paddle-imagenet-models-name.bj.bcebos.com)|100.67.200.6|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7874560 (7.5M) [application/x-tar]
Saving to: ‘MobileNetV3_small_x0_35_ssld_infer.tar’

MobileNetV3_small_x0_35_ssld_ 100%[=================================================>]   7.51M  --.-KB/s    in 0.06s

2024-03-26 16:08:29 (116 MB/s) - ‘MobileNetV3_small_x0_35_ssld_infer.tar’ saved [7874560/7874560]

[Paddle2ONNX] Start to parse PaddlePaddle model...
[Paddle2ONNX] Model file path: /root/develop/Paddle-examples-for-AVH/object_classification/model/inference.pdmodel
[Paddle2ONNX] Paramters file path: /root/develop/Paddle-examples-for-AVH/object_classification/model/inference.pdiparams
[Paddle2ONNX] Start to parsing Paddle model...
[Paddle2ONNX] Use opset_version = 9 for ONNX export.
[Paddle2ONNX] PaddlePaddle model is exported as ONNX format now.
2024-03-26 16:08:29 [INFO]      ===============Make PaddlePaddle Better!================
2024-03-26 16:08:29 [INFO]      A little survey: https://iwenjuan.baidu.com/?code=r8hu2s
Existing names in the model: {'batch_norm_27.w_2', 'p2o.Mul.23', 'p2o.Add.87', 'batch_norm_6.w_0', 'batch_norm_10.w_0', 'conv2d_46.w_0', 'batch_norm_12.tmp_3', 'batch_norm_29.b_0', 'conv2d_2.w_0', 'batch_norm_3.tmp_3', 'p2o.Mul.39', 'conv2d_8.w_0', 'batch_norm_30.b_0', 'batch_norm_27.b_0', 'p2o.Mul.53', 'conv2d_33.w_0', 'p2o.Clip.17', 'conv2d_39.w_0', 'p2o.Add.67', 'p2o.Mul.17', 'p2o.helper.constant.11', 'batch_norm_20.w_2', 'conv2d_20.w_0', 'conv2d_3.b_0', 'batch_norm_30.w_2', 'batch_norm_4.w_2', 'conv2d_45.w_0', 'batch_norm_24.b_0', 'conv2d_24.b_0', 'relu_0.tmp_0', 'conv2d_74.tmp_0', 'conv2d_35.w_0', 'p2o.helper.constant.23', 'batch_norm_4.w_0', 'batch_norm_7.tmp_3', 'batch_norm_33.w_0', 'softmax_1.tmp_0', 'p2o.helper.constant.31', 'p2o.Clip.33', 'conv2d_56.tmp_0', 'conv2d_28.w_0', 'conv2d_3.w_0', 'batch_norm_24.w_2', 'conv2d_30.b_0', 'batch_norm_21.tmp_3', 'relu_3.tmp_0', 'batch_norm_21.b_0', 'p2o.helper.constant.29', 'p2o.Clip.1', 'batch_norm_13.b_0', 'conv2d_20.b_0', 'conv2d_94.tmp_0', 'batch_norm_8.w_1', 'hardsigmoid_14.tmp_0', 'batch_norm_21.w_1', 'p2o.Mul.9', 'conv2d_58.tmp_0', 'batch_norm_15.w_2', 'batch_norm_9.b_0', 'conv2d_90.tmp_0', 'batch_norm_2.w_2', 'conv2d_11.w_0', 'conv2d_50.w_0', 'p2o.GlobalAveragePool.3', 'batch_norm_25.b_0', 'p2o.helper.constant.0', 'batch_norm_23.tmp_3', 'conv2d_95.tmp_0', 'hardswish_31.tmp_0', 'batch_norm_5.w_1', 'p2o.GlobalAveragePool.19', 'batch_norm_17.w_1', 'depthwise_conv2d_4.tmp_0', 'p2o.Clip.35', 'batch_norm_23.w_2', 'batch_norm_4.b_0', 'p2o.Mul.51', 'p2o.Add.89', 'batch_norm_14.w_0', 'batch_norm_12.w_2', 'conv2d_13.w_0', 'conv2d_71.tmp_0', 'conv2d_70.tmp_0', 'conv2d_37.w_0', 'depthwise_conv2d_9.tmp_0', 'hardswish_28.tmp_0', 'p2o.Add.57', 'depthwise_conv2d_7.tmp_0', 'p2o.Add.45', 'p2o.Add.25', 'relu_7.tmp_0', 'batch_norm_33.w_2', 'batch_norm_7.w_1', 'batch_norm_0.w_1', 'p2o.Add.49', 'p2o.helper.constant.13', 'conv2d_75.tmp_0', 'batch_norm_33.tmp_3', 'conv2d_47.w_0', 'p2o.Clip.25', 'p2o.helper.constant.28', 'p2o.Mul.11', 'batch_norm_28.b_0', 'batch_norm_7.w_2', 'p2o.Add.27', 'batch_norm_3.b_0', 'conv2d_38.w_0', 'conv2d_93.tmp_0', 'p2o.Add.11', 'conv2d_14.b_0', 'conv2d_53.w_0', 'conv2d_9.w_0', 'batch_norm_27.w_0', 'p2o.Clip.7', 'batch_norm_24.tmp_3', 'hardswish_35.tmp_0', 'conv2d_55.tmp_0', 'batch_norm_30.w_1', 'hardsigmoid_11.tmp_0', 'flatten_1.tmp_0', 'batch_norm_20.w_0', 'batch_norm_12.w_1', 'p2o.Concat.1', 'p2o.Add.7', 'hardswish_20.tmp_0', 'hardswish_25.tmp_0', 'p2o.MatMul.1', 'batch_norm_19.w_2', 'p2o.helper.constant.52', 'p2o.helper.constant.10', 'batch_norm_2.w_0', 'batch_norm_28.w_0', 'linear_0.b_0', 'p2o.Clip.27', 'p2o.Mul.43', 'batch_norm_20.tmp_3', 'p2o.Mul.47', 'batch_norm_31.b_0', 'batch_norm_17.w_2', 'batch_norm_13.w_1', 'p2o.Mul.49', 'p2o.helper.constant.41', 'batch_norm_11.w_1', 'conv2d_39.b_0', 'batch_norm_14.tmp_3', 'batch_norm_6.w_2', 'batch_norm_8.b_0', 'p2o.helper.constant.1', 'p2o.Clip.9', 'p2o.Mul.3', 'p2o.Add.47', 'p2o.Clip.3', 'batch_norm_6.w_1', 'batch_norm_18.b_0', 'batch_norm_23.w_1', 'hardsigmoid_15.tmp_0', 'p2o.helper.constant.36', 'batch_norm_18.w_0', 'p2o.Add.59', 'conv2d_86.tmp_0', 'conv2d_49.w_0', 'p2o.Add.17', 'batch_norm_5.tmp_3', 'conv2d_34.b_0', 'batch_norm_22.tmp_3', 'conv2d_51.w_0', 'batch_norm_21.w_2', 'conv2d_23.w_0', 'conv2d_25.b_0', 'batch_norm_26.w_1', 'batch_norm_30.tmp_3', 'relu_9.tmp_0', 'relu_1.tmp_0', 'conv2d_89.tmp_0', 'conv2d_34.w_0', 'conv2d_17.w_0', 'conv2d_63.tmp_0', 'p2o.helper.constant.42', 'batch_norm_28.w_1', 'p2o.helper.constant.57', 'p2o.Clip.23', 'batch_norm_28.tmp_3', 'hardswish_21.tmp_0', 'conv2d_73.tmp_0', 'batch_norm_13.w_2', 'batch_norm_16.w_2', 'p2o.Add.1', 'conv2d_92.tmp_0', 'conv2d_35.b_0', 'p2o.Clip.5', 'p2o.helper.constant.18', 'conv2d_76.tmp_0', 'batch_norm_6.b_0', 'conv2d_41.w_0', 'conv2d_42.w_0', 'batch_norm_31.w_1', 'p2o.Add.37', 'p2o.Mul.35', 'p2o.Add.35', 'relu_8.tmp_0', 'p2o.GlobalAveragePool.15', 'batch_norm_6.tmp_3', 'batch_norm_28.w_2', 'batch_norm_4.w_1', 'p2o.helper.constant.47', 'p2o.Mul.37', 'batch_norm_30.w_0', 'p2o.Clip.31', 'conv2d_25.w_0', 'conv2d_4.w_0', 'p2o.Add.29', 'conv2d_44.w_0', 'p2o.helper.constant.24', 'conv2d_78.tmp_0', 'batch_norm_1.b_0', 'batch_norm_31.tmp_3', 'batch_norm_22.w_1', 'batch_norm_5.w_0', 'conv2d_64.tmp_0', 'hardswish_37.tmp_0', 'batch_norm_0.w_2', 'batch_norm_3.w_1', 'batch_norm_0.tmp_3', 'batch_norm_12.b_0', 'batch_norm_15.tmp_3', 'batch_norm_16.w_0', 'p2o.Clip.11', 'batch_norm_19.w_1', 'batch_norm_2.w_1', 'batch_norm_13.tmp_3', 'conv2d_32.w_0', 'batch_norm_27.w_1', 'depthwise_conv2d_2.tmp_0', 'hardswish_32.tmp_0', 'hardswish_26.tmp_0', 'batch_norm_25.w_0', 'hardsigmoid_10.tmp_0', 'batch_norm_26.b_0', 'p2o.helper.constant.25', 'relu_6.tmp_0', 'conv2d_91.tmp_0', 'conv2d_82.tmp_0', 'p2o.Shape.1', 'conv2d_43.w_0', 'conv2d_79.tmp_0', 'p2o.Add.75', 'batch_norm_18.w_2', 'relu_5.tmp_0', 'batch_norm_19.tmp_3', 'hardsigmoid_13.tmp_0', 'hardswish_27.tmp_0', 'hardswish_34.tmp_0', 'batch_norm_23.w_0', 'p2o.Mul.13', 'conv2d_6.w_0', 'batch_norm_34.w_0', 'batch_norm_12.w_0', 'p2o.Add.77', 'p2o.Mul.5', 'relu_13.tmp_0', 'conv2d_69.tmp_0', 'batch_norm_16.w_1', 'batch_norm_18.w_1', 'batch_norm_20.w_1', 'p2o.Mul.25', 'p2o.helper.constant.37', 'p2o.Mul.29', 'hardswish_19.tmp_0', 'batch_norm_25.tmp_3', 'relu_2.tmp_0', 'batch_norm_21.w_0', 'conv2d_19.b_0', 'batch_norm_17.tmp_3', 'p2o.GlobalAveragePool.1', 'conv2d_19.w_0', 'batch_norm_32.tmp_3', 'conv2d_84.tmp_0', 'relu_10.tmp_0', 'batch_norm_33.b_0', 'p2o.Mul.27', 'conv2d_4.b_0', 'batch_norm_26.w_0', 'conv2d_52.w_0', 'hardsigmoid_12.tmp_0', 'batch_norm_25.w_1', 'conv2d_26.w_0', 'batch_norm_16.tmp_3', 'p2o.helper.constant.54', 'p2o.helper.slice.0', 'p2o.helper.constant.7', 'conv2d_29.b_0', 'p2o.helper.constant.48', 'batch_norm_34.w_2', 'conv2d_12.w_0', 'batch_norm_4.tmp_3', 'conv2d_88.tmp_0', 'conv2d_18.w_0', 'conv2d_60.tmp_0', 'hardswish_29.tmp_0', 'batch_norm_0.b_0', 'batch_norm_25.w_2', 'batch_norm_31.w_2', 'conv2d_16.w_0', 'depthwise_conv2d_0.tmp_0', 'batch_norm_5.b_0', 'dropout_1.tmp_0', 'conv2d_81.tmp_0', 'batch_norm_32.w_2', 'conv2d_22.w_0', 'batch_norm_11.b_0', 'conv2d_30.w_0', 'conv2d_50.b_0', 'batch_norm_2.tmp_3', 'conv2d_54.tmp_0', 'p2o.Add.65', 'p2o.helper.constant.35', 'batch_norm_7.w_0', 'conv2d_62.tmp_0', 'batch_norm_2.b_0', 'p2o.helper.constant.40', 'linear_0.w_0', 'batch_norm_14.b_0', 'relu_11.tmp_0', 'batch_norm_3.w_2', 'batch_norm_32.w_0', 'hardsigmoid_9.tmp_0', 'batch_norm_29.w_0', 'p2o.Add.39', 'batch_norm_24.w_1', 'batch_norm_10.w_1', 'batch_norm_26.w_2', 'p2o.Add.19', 'conv2d_36.w_0', 'conv2d_65.tmp_0', 'batch_norm_1.w_2', 'p2o.GlobalAveragePool.17', 'depthwise_conv2d_8.tmp_0', 'conv2d_7.w_0', 'p2o.helper.constant.49', 'p2o.helper.constant.55', 'batch_norm_5.w_2', 'hardswish_33.tmp_0', 'p2o.helper.constant.4', 'p2o.helper.constant.5', 'batch_norm_14.w_1', 'batch_norm_18.tmp_3', 'batch_norm_31.w_0', 'conv2d_48.w_0', 'relu_12.tmp_0', 'depthwise_conv2d_5.tmp_0', 'p2o.helper.constant.22', 'batch_norm_10.w_2', 'conv2d_0.w_0', 'relu_14.tmp_0', 'p2o.Add.73', 'batch_norm_9.w_1', 'p2o.helper.constant.19', 'batch_norm_1.tmp_3', 'conv2d_85.tmp_0', 'p2o.GlobalAveragePool.13', 'p2o.helper.constant.53', 'depthwise_conv2d_6.tmp_0', 'batch_norm_15.b_0', 'p2o.Clip.29', 'conv2d_72.tmp_0', 'p2o.Mul.45', 'batch_norm_32.w_1', 'hardsigmoid_17.tmp_0', 'conv2d_14.w_0', 'conv2d_49.b_0', 'p2o.helper.constant.46', 'p2o.Add.85', 'batch_norm_19.b_0', 'batch_norm_11.w_2', 'batch_norm_22.w_2', 'conv2d_67.tmp_0', 'conv2d_27.w_0', 'p2o.Mul.19', 'conv2d_83.tmp_0', 'p2o.Mul.31', 'depthwise_conv2d_1.tmp_0', 'conv2d_21.w_0', 'batch_norm_11.w_0', 'p2o.Clip.37', 'batch_norm_17.b_0', 'hardswish_22.tmp_0', 'batch_norm_22.b_0', 'batch_norm_29.w_1', 'p2o.Mul.33', 'conv2d_40.w_0', 'p2o.helper.constant.43', 'batch_norm_10.tmp_3', 'conv2d_96.tmp_0', 'batch_norm_0.w_0', 'conv2d_44.b_0', 'conv2d_61.tmp_0', 'p2o.helper.constant.30', 'batch_norm_14.w_2', 'p2o.GlobalAveragePool.7', 'batch_norm_15.w_0', 'batch_norm_8.w_2', 'conv2d_1.w_0', 'conv2d_10.w_0', 'conv2d_57.tmp_0', 'p2o.Mul.15', 'p2o.Mul.55', 'hardswish_36.tmp_0', 'batch_norm_34.w_1', 'conv2d_45.b_0', 'batch_norm_15.w_1', 'p2o.GlobalAveragePool.5', 'p2o.GlobalAveragePool.9', 'conv2d_40.b_0', 'batch_norm_16.b_0', 'p2o.helper.constant.16', 'p2o.helper.constant.6', 'batch_norm_20.b_0', 'conv2d_68.tmp_0', 'conv2d_24.w_0', 'p2o.Add.9', 'p2o.Clip.19', 'p2o.GlobalAveragePool.11', 'p2o.Mul.7', 'batch_norm_17.w_0', 'batch_norm_33.w_1', 'x', 'batch_norm_23.b_0', 'batch_norm_32.b_0', 'hardswish_30.tmp_0', 'batch_norm_26.tmp_3', 'p2o.Mul.21', 'conv2d_80.tmp_0', 'batch_norm_1.w_0', 'p2o.helper.constant.56', 'batch_norm_7.b_0', 'p2o.helper.constant.34', 'p2o.Add.55', 'p2o.Clip.21', 'hardswish_23.tmp_0', 'batch_norm_34.b_0', 'batch_norm_27.tmp_3', 'batch_norm_10.b_0', 'batch_norm_9.w_0', 'hardswish_24.tmp_0', 'batch_norm_1.w_1', 'p2o.helper.constant.12', 'p2o.Add.83', 'batch_norm_9.tmp_3', 'batch_norm_24.w_0', 'p2o.Mul.41', 'batch_norm_29.tmp_3', 'batch_norm_8.w_0', 'conv2d_87.tmp_0', 'depthwise_conv2d_3.tmp_0', 'hardsigmoid_16.tmp_0', 'conv2d_15.w_0', 'depthwise_conv2d_10.tmp_0', 'relu_4.tmp_0', 'batch_norm_13.w_0', 'conv2d_59.tmp_0', 'batch_norm_19.w_0', 'batch_norm_3.w_0', 'conv2d_5.w_0', 'batch_norm_8.tmp_3', 'conv2d_31.w_0', 'conv2d_15.b_0', 'batch_norm_34.tmp_3', 'batch_norm_11.tmp_3', 'p2o.Clip.13', 'p2o.Clip.15', 'conv2d_77.tmp_0', 'batch_norm_9.w_2', 'conv2d_66.tmp_0', 'batch_norm_22.w_0', 'conv2d_29.w_0', 'p2o.Mul.1', 'batch_norm_29.w_2', 'p2o.helper.constant.17'}
Conflicting new name: x
[ERROR] The defined new_name '{}' is already exist in the onnx model, which is not allowed.

here is the relevant rename_onnx_model.py code:

(the code in red square is my modification for debug.)
So I have to modify the run_demo.sh to change the default onnx name ('x'), I think this implementation is a bit bad :(