tf.contrib.learn.build_parsing_serving_input_fn(
feature_spec,
default_batch_size=None
)
Defined in tensorflow/contrib/learn/python/learn/utils/input_fn_utils.py
.
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.
Args:
feature_spec
: a dict of string toVarLenFeature
/FixedLenFeature
.default_batch_size
: the number of query examples expected per batch. Leave unset for variable batch size (recommended).
Returns:
An input_fn suitable for use in serving.