kerasのexample、cifar10_cnn.pyで、
python
1Using TensorFlow backend. 2x_train shape: (50000, 32, 32, 3) 350000 train samples 410000 test samples 5Using real-time data augmentation. 6Traceback (most recent call last): 7 File "/home/hoge/Desktop/keras-master/examples/cifar10_cnn.py", line 118, in <module> 8 workers=4) 9 File "/home/hoge/.local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper 10 return func(*args, **kwargs) 11 File "/home/hoge/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator 12 initial_epoch=initial_epoch) 13 File "/home/hoge/.local/lib/python3.6/site-packages/keras/engine/training_generator.py", line 55, in fit_generator 14 raise ValueError('`steps_per_epoch=None` is only valid for a' 15ValueError: `steps_per_epoch=None` is only valid for a generator based on the `keras.utils.Sequence` class. Please specify `steps_per_epoch` or use the `keras.utils.Sequence` class.
と出ます。
何卒、ご教授宜しくお願いいたします。
#環境
ubuntu 18.04
Python 3.6.6
Keras 2.2.4
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