Traceback (most recent call last):


 "torch2keras.py", line 83, in <module>

transforms_2()


 "torch2keras.py", line 76, in transforms_2

k_model = pytorch_to_keras(model.module, input_var, (3, 448, 448), verbose=True, name_policy='short')


 "/home/fffan/.local/lib/python3.7/site-packages/pytorch2keras/converter.py", line 83, in pytorch_to_keras

verbose=verbose, change_ordering=change_ordering)


 "/home/fffan/.local/lib/python3.7/site-packages/onnx2keras/converter.py", line 181, in onnx_to_keras

keras_names


 "/home/fffan/.local/lib/python3.7/site-packages/onnx2keras/reshape_layers.py", line 107, in convert_concat

layers[node_name] = np.concatenate(layer_input, axis=params['axis'])


 "<__array_function__ internals>", line 6, in concatenate
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 0 dimension(s)

Traceback (most recent call last):

 "C:\Python33\lib\logging\__init__.py", line 941, in emit

 "C:\Python\64-bit\3.3\lib\encodings\cp1252.py", line 19, in encodeUnicodeEncodeError: 'charmap' codec can't encode character '\u220f' in position 156: character maps to <undefined>