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):


 "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_jc/build/tests/test_last.py", line 162, in test_last_wF_centos_7_7

self.assertEqual(jc.parsers.last.parse(self.centos_7_7_last_wF, quiet=True), self.centos_7_7_last_wF_json)
AssertionError: Lists differ: [{'us[152 chars]1609856964}, {'user': 'kbrazil', 'tty': 'tty1'[39910 chars]849}] != [{'us[152 chars]1609885764}, {'user': 'kbrazil', 'tty': 'tty1'[39910 chars]849}]
