Can someone explain to me what is error " AttributeError: ‘NoneType’ object has no attribute ‘endswith’ " trying to say?

My code is

def get_checkpoint_every_epoch(): checkpoint_every_epoch = 'model_checkpoints_every_epoch' checkpoints = ModelCheckpoint(filepath=checkpoint_every_epoch, frequency= 'epoch', save_weights_only=True, verbose=1) return checkpoints def get_checkpoint_best_only(): checkpoint_best_path = 'model_checkpoints_best_only/checkpoint' checkpoint_best= ModelCheckpoint(filepath=checkpoint_best_path, save_weights_only= True, monitor= 'val_accuracy', save_best_only= True, verbose=1) return checkpoint_best def get_early_stopping(): early_stopping= tf.keras.callbacks.EarlyStopping(monitor='val_accuracy', patience=3) return early_stopping checkpoint_every_epoch = get_checkpoint_every_epoch() checkpoint_best_only = get_checkpoint_best_only() early_stopping = get_early_stopping() 

Followed by this,

def get_model_last_epoch(model): model_last_epoch_file = tf.train.latest_checkpoint("checkpoints_every_epoch") model.load_weights(model_last_epoch_file) return model def get_model_best_epoch(model): model_best_epoch_file = tf.train.latest_checkpoint("checkpoints_best_only") model.load_weights(model_best_epoch_file) return model model_last_epoch = get_model_last_epoch(get_new_model(x_train[0].shape)) model_best_epoch = get_model_best_epoch(get_new_model(x_train[0].shape)) print('Model with last epoch weights:') get_test_accuracy(model_last_epoch, x_test, y_test) print('') print('Model with best epoch weights:') get_test_accuracy(model_best_epoch, x_test, y_test) 

This is where, I get this error:

​

AttributeError Traceback (most recent call last) <ipython-input-18-b6d169507ca4> in <module> 3 # Verify that the second has a higher validation (testing) accuarcy. 4 ----> 5 model_last_epoch = get_model_last_epoch(get_new_model(x_train[0].shape)) 6 model_best_epoch = get_model_best_epoch(get_new_model(x_train[0].shape)) 7 print('Model with last epoch weights:') <ipython-input-17-4c8cba016afe> in get_model_last_epoch(model) 12 model_last_epoch_file = tf.train.latest_checkpoint("checkpoints_every_epoch") 13 ---> 14 model.load_weights(model_last_epoch_file) 15 16 return model /opt/conda/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in load_weights(self, filepath, by_name) 179 raise ValueError('Load weights is not yet supported with TPUStrategy ' 180 'with steps_per_run greater than 1.') --> 181 return super(Model, self).load_weights(filepath, by_name) 182 183 @trackable.no_automatic_dependency_tracking /opt/conda/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py in load_weights(self, filepath, by_name) 1137 format. 1138 """ -> 1139 if _is_hdf5_filepath(filepath): 1140 save_format = 'h5' 1141 else: /opt/conda/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py in _is_hdf5_filepath(filepath) 1447 1448 def _is_hdf5_filepath(filepath): -> 1449 return (filepath.endswith('.h5') or filepath.endswith('.keras') or 1450 filepath.endswith('.hdf5')) 1451 AttributeError: 'NoneType' object has no attribute 'endswith' 

What does it mean? Sorry, I’m just a newbie, need some
enlightenment. I wish you a merry christmas. Thanks a lot!