Traceback (most recent call last):
File "D:/Pycharm/ResNet_test/main.py", line 171, in
model.load_weights(model_save_path, by_name=True)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 181, in load_weights
return super(Model, self).load_weights(filepath, by_name)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\keras\engine\network.py", line 1149, in load_weights
status = self._trackable_saver.restore(filepath)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\tracking\util.py", line 1270, in restore
checkpoint=checkpoint, proto_id=0).restore(self._graph_view.root)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\tracking\base.py", line 209, in restore
restore_ops = trackable._restore_from_checkpoint_position(self) # pylint: disable=protected-access
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\tracking\base.py", line 908, in _restore_from_checkpoint_position
tensor_saveables, python_saveables))
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\tracking\util.py", line 289, in restore_saveables
validated_saveables).restore(self.save_path_tensor)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\saving\functional_saver.py", line 255, in restore
restore_ops.update(saver.restore(file_prefix))
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\saving\functional_saver.py", line 102, in restore
restored_tensors, restored_shapes=None)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\training\saving\saveable_object_util.py", line 115, in restore
self.handle_op, self._var_shape, restored_tensor)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\ops\resource_variable_ops.py", line 291, in shape_safe_assign_variable_handle
shape.assert_is_compatible_with(value_tensor.shape)
File "D:\Anaconda3\envs\tf2.0\lib\site-packages\tensorflow_core\python\framework\tensor_shape.py", line 1115, in assert_is_compatible_with
raise ValueError("Shapes %s and %s are incompatible" % (self, other))
ValueError: Shapes (100352, 2) and (8192, 2) are incompatible
之前使用过加载训练好的权重，今天用同样的方法但是出现了上述的问题，一直找不到方法
