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(RKNN-Toolkit2) ubuntu@ubuntu:~/Projects/rknn_model_zoo/examples/yolov5/python$ python3 convert.py ../model/yolov5s.onnx rv1106
W __init__: rknn-toolkit2 version: 1.6.0+81f21f4d
--> Config model
done
--> Loading model
E load_onnx: Model file ../model/yolov5s.onnx not exists!
W load_onnx: ===================== WARN(1) =====================
E rknn-toolkit2 version: 1.6.0+81f21f4d
Traceback (most recent call last):
  File "convert.py", line 52, in <module>
    ret = rknn.load_onnx(model=model_path)
  File "/home/ubuntu/miniconda3/envs/RKNN-Toolkit2/lib/python3.8/site-packages/rknn/api/rknn.py", line 168, in load_onnx
    return self.rknn_base.load_onnx(model, inputs, input_size_list, input_initial_val, outputs)
  File "rknn/api/rknn_base.py", line 1441, in rknn.api.rknn_base.RKNNBase.load_onnx
  File "rknn/api/rknn_log.py", line 92, in rknn.api.rknn_log.RKNNLog.e
ValueError: Model file ../model/yolov5s.onnx not exists!
(RKNN-Toolkit2) ubuntu@ubuntu:~/Projects/rknn_model_zoo/examples/yolov5/python$ python3 convert.py ../model/yolov5s_relu.onnx rv1106
W __init__: rknn-toolkit2 version: 1.6.0+81f21f4d
--> Config model
done
--> Loading model
W load_onnx: It is recommended onnx opset 19, but your onnx model opset is 12!
W load_onnx: Model converted from pytorch, 'opset_version' should be set 19 in torch.onnx.export for successful convert!
Loading :   0%|                                                             | 0/125 [00:00<?, ?Loading : 100%|█████████████████████████████████████████████████| 125/125 [00:00<00:00, 3534.75it/s]
done
--> Building model
Illegal instruction (core dumped)

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(RKNN-Toolkit2) ubuntu@ubuntu:~/Projects/rknn_model_zoo/examples/yolov5/python$ python3 convert.py ../model/yolov5s_relu.onnx rv1106
W __init__: rknn-toolkit2 version: 1.6.0+81f21f4d
--> Config model
done
--> Loading model
W load_onnx: It is recommended onnx opset 19, but your onnx model opset is 12!
W load_onnx: Model converted from pytorch, 'opset_version' should be set 19 in torch.onnx.export for successful convert!
Loading :   0%|                                                             | 0/125 [00:00<?, ?Loading : 100%|█████████████████████████████████████████████████| 125/125 [00:00<00:00, 3534.75it/s]
done
--> Building model
Illegal instruction (core dumped)

Code: Select all

(RKNN-Toolkit2) ➜  pythonpython3 convert.py ../model/yolov5s_relu.onnx rv1106
I rknn-toolkit2 version: 2.0.0b0+9bab5682
--> Config model
done
--> Loading model
I It is recommended onnx opset 19, but your onnx model opset is 12!
I Model converted from pytorch, 'opset_version' should be set 19 in torch.onnx.export for successful convert!
I Loading : 100%|██████████████████████████████████████████████| 125/125 [00:00<00:00, 14088.46it/s]
done
--> Building model
I GraphPreparing : 100%|████████████████████████████████████████| 149/149 [00:00<00:00, 8050.07it/s]
I Quantizating : 100%|████████████████████████████████████████████| 149/149 [00:04<00:00, 30.34it/s]
W build: The default input dtype of 'images' is changed from 'float32' to 'int8' in rknn model for performance!
                       Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of 'output0' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of '286' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of '288' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
I rknn building ...
I rknn buiding done.
done
--> Export rknn model
done