contrib.learn.build_parsing_serving_input_fn
tf.contrib.learn.build_parsing_serving_input_fn
tf.contrib.learn.build_parsing_serving_input_fn
build_parsing_serving_input_fn( feature_spec, default_batch_size=None )
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.
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.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/learn/build_parsing_serving_input_fn