| View source on GitHub |
Build a serving_input_receiver_fn expecting fed tf.Examples.
tf.estimator.export.build_parsing_serving_input_receiver_fn(
feature_spec, default_batch_size=None
)
Creates a serving_input_receiver_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.
| Args | |
|---|---|
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 | |
|---|---|
| A serving_input_receiver_fn suitable for use in serving. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/estimator/export/build_parsing_serving_input_receiver_fn