example_proto_coder.py 文件源码

def decode(self, serialized_example_proto):
    """Decode serialized tf.Example as a tf.transform encoded dict."""
    if self._decode_example_cache is None:
      # Initialize the decode Example cache (used by this and all subsequent
      # calls to decode).
      self._decode_example_cache = tf.train.Example()

    example = self._decode_example_cache
    example.ParseFromString(serialized_example_proto)
    feature_map = example.features.feature
    return {feature_handler.name: feature_handler.parse_value(feature_map)
            for feature_handler in self._feature_handlers}