AttributeError: 'ProgbarLogger' object has no attribute 'log_values' #10
Description
AttributeError Traceback (most recent call last)
in ()
28
29 SegClass.set_num_epochs(10)
---> 30 history = SegClass.train_generator(model, train_generator, valid_generator, callbacks, mp = True)
/kaggle/input/Keras-segmentation-deeplab-v3.1/utils.py in train_generator(self, model, train_generator, valid_generator, callbacks, mp)
216 validation_steps=len(valid_generator),
217 max_queue_size=10,
--> 218 workers=workers, use_multiprocessing=mp)
219 return h
220
/opt/conda/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your ' + object_name + ' call to the ' +
90 'Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
/opt/conda/lib/python3.6/site-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
1416 If all outputs in the model are named,
1417 you can also pass a dictionary
-> 1418 mapping output names to Numpy arrays.
1419 sample_weight: Optional array of the same length as x, containing
1420 weights to apply to the model's loss for each sample.
/opt/conda/lib/python3.6/site-packages/keras/engine/training_generator.py in fit_generator(model, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
249 for l, o in zip(out_labels, val_outs):
250 epoch_logs['val_' + l] = o
--> 251
252 if callbacks.model.stop_training:
253 break
/opt/conda/lib/python3.6/site-packages/keras/callbacks.py in on_epoch_end(self, epoch, logs)
77 self._t_enter_batch = time.time()
78 # Batch is ending, calculate batch time
---> 79 self._delta_t_batch = time.time() - self._t_enter_batch
80
81 logs = logs or {}
/opt/conda/lib/python3.6/site-packages/keras/callbacks.py in on_epoch_end(self, epoch, logs)
336 # Arguments
337 epoch: integer, index of epoch.
--> 338 logs: dict, metric results for this training epoch, and for the
339 validation epoch if validation is performed. Validation result keys
340 are prefixed with val_.
AttributeError: 'ProgbarLogger' object has no attribute 'log_values'
