a3cd380d9b7758fb2de5a359e0f1c7094b2f1163,src/mjsynth.py,,threaded_input_pipeline,#Any#Any#Any#Any#Any#Any#,82

Before Change

    
    with tf.device(batch_device): // Create batch queue

        dataset = dataset.batch(batch_size)

        dataset = dataset.map(lambda image, 
                              width, label, 
                              length, text, 

After Change

        dataset = dataset.apply(tf.contrib.data.bucket_by_sequence_length
                                (element_length_func=_element_length_fn,
                                 bucket_batch_sizes=np.full
                                 (len([32, 64, 96, 128, 160, 192, 224, 256]) + 1, batch_size),
                                 bucket_boundaries=[32, 64, 96, 128, 160, 192, 224, 256]))
        

Instances