e13771aec07c844a93e9700216d07b8073ce35fb,src/mjsynth.py,,bucketed_input_pipeline,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,31

Before Change

            num_parallel_calls=num_threads)


        itera = dataset.make_one_shot_iterator()
        image, width, label, _, _, _ = itera.get_next()
        features = {"image": image, "width": width}
        
    return features, label

After Change

             filename),
            num_parallel_calls=num_threads)
        
    return dataset

def threaded_input_pipeline(base_dir,file_patterns,
                            num_threads=4,
                            batch_size=32,

Instances