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Defined in tensorflow/contrib/learn/python/learn/utils/input_fn_utils.py.

See the guide: Learn (contrib) > Input processing

Build an input_fn appropriate for serving, expecting fed tf.Examples. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Please use tf.estimator.export.build_parsing_serving_input_receiver_fn.

Creates an input_fn that expects a serialized tf.Example fed into a string placeholder. The function parses the tf.Example according to the provided feature_spec, and returns all parsed Tensors as features. This input_fn is for use at serving time, so the labels return value is always None.


  • feature_spec: a dict of string to VarLenFeature/FixedLenFeature.
  • default_batch_size: the number of query examples expected per batch. Leave unset for variable batch size (recommended).


An input_fn suitable for use in serving.