image = decode_jpeg(file_buffer)
batch_size = 32
min_queue_examples = batch_size * 100
images_batch = tf.train.shuffle_batch_join(image, batch_size=batch_size,
    capacity=min_queue_examples + 3 * batch_size, min_after_dequeue=
    min_queue_examples)
predictions = my_inference(images_batch)
Как читать данные в пакеты TensorFlow из примера очереди?