DataReaders.py 文件源码

def parse_mnist_tfrec(tfrecord, name, features_shape, scalar_targs=False):
    tfrecord_features = tf.parse_single_example(
        tfrecord,
        features={
            'features': tf.FixedLenFeature([], tf.string),
            'targets': tf.FixedLenFeature([], tf.string)
        },
        name=name+'_data'
    )
    with tf.variable_scope('features'):
        features = tf.decode_raw(
            tfrecord_features['features'], tf.uint8
        )
        features = tf.reshape(features, features_shape)
        features = tf.cast(features, tf.float32)
    with tf.variable_scope('targets'):
        targets = tf.decode_raw(tfrecord_features['targets'], tf.uint8)
        if scalar_targs:
            targets = tf.reshape(targets, [])
        targets = tf.one_hot(
            indices=targets, depth=10, on_value=1, off_value=0
        )
        targets = tf.cast(targets, tf.float32)
    return features, targets