Created
May 4, 2018 04:49
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| import tensorflow as tf | |
| train_dataset = tf.data.Dataset.range(10) | |
| train_iterator = train_dataset.make_one_shot_iterator() | |
| train_next = train_iterator.get_next() | |
| test_dataset = tf.data.Dataset.range(10, 20) | |
| test_iterator = test_dataset.make_one_shot_iterator() | |
| test_next = test_iterator.get_next() | |
| training = tf.Variable(True, trainable=False) | |
| set_testing = tf.assign(training, False) | |
| set_training = tf.assign(training, True) | |
| next_element = tf.cond( | |
| training, | |
| train_iterator.get_next, | |
| test_iterator.get_next | |
| ) | |
| sess = tf.Session() | |
| sess.run(tf.global_variables_initializer()) | |
| sess.run(tf.local_variables_initializer()) | |
| sess.run(next_element) | |
| sess.run(set_testing) | |
| sess.run(next_element) | |
| sess.run(set_training) | |
| sess.run(next_element) |
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