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Fix the Cifar10ImagePreprocessor class to use newer dataset APIs #320
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reedwm
suggested changes
Jan 17, 2020
| capacity=min_queue_examples + 3 * self.batch_size, | ||
| min_after_dequeue=min_queue_examples) | ||
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| dataset_train = dataset_train.shuffle(min_queue_examples).batch( |
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You should call .repeat() in between shuffle and batch
| dataset_train = dataset_train.shuffle(min_queue_examples).batch( | ||
| self.batch_size, drop_remainder=True) | ||
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| if tf.VERSION > "1.12": |
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You can safely assume TensorFlow is at least version 1.12. There are branches such as cnn_tf_v1.11_compatible that work with older versions.
| self.batch_size, drop_remainder=True) | ||
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| if tf.VERSION > "1.12": | ||
| raw_images, raw_labels = tf.compat.v1.data.make_one_shot_iterator( |
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No need for compat.v1 since we have import tensorflow.compat.v1 as tf at the top. Simply tf.data.make_one_shot_iterator is fine.
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This is regarding the issue #313.