Error during YOLOv9 ONNX Export [custom model ] with export_yoloV9.py : AttributeError: 'Detect' object has no attribute 'format'

[koti-malla]

Starting: yolov9s_fp.pt
Opening YOLOv9 model
YOLOv9s summary (fused): 486 layers, 7,167,862 parameters, 0 gradients, 26.7 GFLOPs
Creating labels.txt file
Exporting the model to ONNX
Traceback (most recent call last):
File "C:\Users\koti0\OneDrive\Desktop\Deepstream\yolov9\export_yoloV9.py", line 145, in
main(args)
File "C:\Users\koti0\OneDrive\Desktop\Deepstream\yolov9\export_yoloV9.py", line 111, in main
torch.onnx.export(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\onnx\utils.py", line 551, in export
_export(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\onnx\utils.py", line 1648, in _export
graph, params_dict, torch_out = _model_to_graph(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\onnx\utils.py", line 1170, in _model_to_graph
graph, params, torch_out, module = _create_jit_graph(model, args)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\onnx\utils.py", line 1046, in _create_jit_graph
graph, torch_out = _trace_and_get_graph_from_model(model, args)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\onnx\utils.py", line 950, in _trace_and_get_graph_from_model
trace_graph, torch_out, inputs_states = torch.jit._get_trace_graph(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\jit_trace.py", line 1497, in _get_trace_graph
outs = ONNXTracedModule(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\jit_trace.py", line 141, in forward
graph, out = torch._C._create_graph_by_tracing(
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\jit_trace.py", line 132, in wrapper
outs.append(self.inner(*trace_inputs))
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1543, in _slow_forward
result = self.forward(*input, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\container.py", line 219, in forward
input = module(input)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1543, in _slow_forward
result = self.forward(*input, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\ultralytics\nn\tasks.py", line 112, in forward
return self.predict(x, *args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\ultralytics\nn\tasks.py", line 130, in predict
return self._predict_once(x, profile, visualize, embed)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\ultralytics\nn\tasks.py", line 151, in _predict_once
x = m(x) # run
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1543, in _slow_forward
result = self.forward(*input, **kwargs)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\ultralytics\nn\modules\head.py", line 72, in forward
y = self._inference(x)
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\ultralytics\nn\modules\head.py", line 108, in _inference
if self.export and self.format in {"saved_model", "pb", "tflite", "edgetpu", "tfjs"}: # avoid TF FlexSplitV ops
File "C:\Users\koti0\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py", line 1729, in getattr
raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")
AttributeError: 'Detect' object has no attribute 'format'

[marcoslucianops]

Please try to export using Ubuntu. I don't have issues to export in my side.