def _dataset_parser()

in tensorflow_managed_spot_training_checkpointing/source_dir/cifar10_keras_main.py [0:0]

• 15 lines of code
• 1 McCabe index (conditional complexity)

def _dataset_parser(value):
    """Parse a CIFAR-10 record from value."""
    featdef = {
        'image': tf.FixedLenFeature([], tf.string),
        'label': tf.FixedLenFeature([], tf.int64),
    }

    example = tf.parse_single_example(value, featdef)
    image = tf.decode_raw(example['image'], tf.uint8)
    image.set_shape([DEPTH * HEIGHT * WIDTH])

    # Reshape from [depth * height * width] to [depth, height, width].
    image = tf.cast(
        tf.transpose(tf.reshape(image, [DEPTH, HEIGHT, WIDTH]), [1, 2, 0]),
        tf.float32,
    )
    label = tf.cast(example['label'], tf.int32)
    image = _train_preprocess_fn(image)
    return image, tf.one_hot(label, NUM_CLASSES)