tf.contrib.learn.build_parsing_serving_input_fn
Build an input_fn appropriate for serving, expecting fed tf.Examples. (deprecated)
tf.contrib.learn.build_parsing_serving_input_fn( feature_spec, default_batch_size=None )
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 | |
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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). |
Returns | |
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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/versions/r1.15/api_docs/python/tf/contrib/learn/build_parsing_serving_input_fn