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Mar 17, 2018
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update README on serving_input_fn #93

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update README on serving_input_fn
Mar 9, 2018
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Merge branch 'master' into serving_input_fn_readme_fix
andremoeller Mar 16, 2018
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7 changes: 4 additions & 3 deletions README.rst
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Expand Up @@ -914,9 +914,10 @@ More details on how to create input functions can be find in `Building Input Fun
Creating a ``serving_input_fn``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

During training, ``train_input_fn`` ingests data and prepares it for use by the model.
At the end of training, similarly, ``serving_input_fn`` is used to create the model that
is exported for TensorFlow Serving. This function has the following purposes:
``serving_input_fn`` is used to define the shapes and types of the inputs
the model accepts when the model is exported for Tensorflow Serving. ``serving_input_fn`` is called
at the end of model training and is not called during inference. (If you'd like to preprocess inference data,
please see ``input_fn``). This function has the following purposes:

- To add placeholders to the graph that the serving system will feed with inference requests.
- To add any additional ops needed to convert data from the input format into the feature Tensors
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