After one epoch, there is a problem, and can't save the model.

[jiollos]

Traceback (most recent call last):
File "train.py", line 86, in
ssd.save_weights(filepath=save_model_dir+"epoch-{}".format(epoch), save_format="tf")
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\network.py", line 1167, in save_weights
self._trackable_saver.save(filepath, session=session)
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\util.py", line 1187, in save
file_prefix=file_prefix_tensor, object_graph_tensor=object_graph_tensor)
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\util.py", line 1127, in _save_cached_when_graph_building
object_graph_tensor=object_graph_tensor)
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\util.py", line 1095, in _gather_saveables
feed_additions) = self._graph_view.serialize_object_graph()
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\graph_view.py", line 381, in serialize_object_graph
trackable_objects, path_to_root)
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\graph_view.py", line 337, in _serialize_gathered_objects
object_names[obj] = _object_prefix_from_path(path)
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\graph_view.py", line 64, in _object_prefix_from_path
for trackable in path_to_root))
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\graph_view.py", line 64, in
for trackable in path_to_root))
File "C:\Users\jeo13\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\graph_view.py", line 57, in _escape_local_name
return (name.replace(_ESCAPE_CHAR, _ESCAPE_CHAR + _ESCAPE_CHAR)
AttributeError: 'NoneType' object has no attribute 'replace'

[sunxianpeng123]

我也是同样的问题

[raduciou]

that's my first comment on github so:
you need to put name of weights in order to save model (keras bug)
self.add_weight(shape=(1, 1, 1, 512), dtype=tf.float32, initializer=tf.keras.initializers.Ones(), trainable=True, name='fckr')

after this you can save it

[xiaotaonan]

the name in the file of ssd.py(line numer:13),like this: "self.learnable_factor = self.add_weight(shape=(1, 1, 1, 512), dtype=tf.float32, initializer=tf.keras.initializers.Ones(), trainable=True,name='ssd_train')"