def num_examples_per_epoch()

in tensorflow_managed_spot_training_checkpointing/source_dir/cifar10_keras_main.py [0:0]


def num_examples_per_epoch(subset='train'):
    if subset == 'train':
        return 40000
    elif subset == 'validation':
        return 10000
    elif subset == 'eval':
        return 10000
    else:
        raise ValueError('Invalid data subset "%s"' % subset)