Traceback (most recent call last):


 "train_mobilenet.py", line 88, in <module>

validation_steps=(5000. // batchsize))


 "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper

return func(*args, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1418, in fit_generator

initial_epoch=initial_epoch)


 "/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py", line 181, in fit_generator

generator_output = next(output_generator)


 "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 709, in get

six.reraise(*sys.exc_info())


 "/home/hadoop/anaconda3/lib/python3.6/site-packages/six.py", line 693, in reraise

raise value


 "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 685, in get

inputs = self.queue.get(block=True).get()


 "/home/hadoop/anaconda3/lib/python3.6/multiprocessing/pool.py", line 644, in get

raise self._value


 "/home/hadoop/anaconda3/lib/python3.6/multiprocessing/pool.py", line 119, in worker

result = (True, func(*args, **kwds))


 "/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py", line 626, in next_sample

return six.next(_SHARED_SEQUENCES[uid])


 "/home/hadoop/Documents/demo-ava-1/neural-image-assessment-master/utils/data_loader.py", line 101, in train_generator

train_dataset = tf.data.Dataset().from_tensor_slices((train_image_paths, train_scores))
TypeError: Can't instantiate abstract class DatasetV1 with abstract methods _as_variant_tensor, _inputs

Traceback (most recent call last):


 "/usr/lib/python3.5/weakref.py", line 117, in remove
TypeError: 'NoneType' object is not callable
