e64f1d7b07d376634107751903c38e18560ac203,agents/dagger/train/hdf5_to_tfrecord.py,,decode,#,136

Before Change

        // Any preprocessing here ...

        // Creates batches by randomly shuffling tensors
        images, labels = tf.train.shuffle_batch([image, label], batch_size=10, capacity=30, num_threads=1,
                                                min_after_dequeue=10)

After Change

        image = tf.decode_raw(features["image/encoded"], tf.uint8)

        sess.run(tf.local_variables_initializer())
        sess.run(tf.global_variables_initializer())

        coord = tf.train.Coordinator()
        threads = tf.train.start_queue_runners(coord=coord)
        for i in range(1000):

Instances