def load_dataset()

in 03_image_models/flowers.py [0:0]

• 8 lines of code
• 3 McCabe index (conditional complexity)

def load_dataset(filenames, ordered=False):
    # Read from TFRecords. For optimal performance, reading from multiple files at once and
    # disregarding data order. Order does not matter since we will be shuffling the data anyway.

    ignore_order = tf.data.Options()
    if not ordered:
        ignore_order.experimental_deterministic = False # disable order, increase speed

    dataset = tf.data.TFRecordDataset(filenames, num_parallel_reads=AUTO) # automatically interleaves reads from multiple files
    dataset = dataset.with_options(ignore_order) # uses data as soon as it streams in, rather than in its original order
    dataset = dataset.map(read_tfrecord, num_parallel_calls=AUTO)
    # returns a dataset of (image, label) pairs
    return dataset