FinalExporter
Inherits From: Exporter
Defined in tensorflow/python/estimator/exporter.py
.
This class exports the serving graph and checkpoints in the end.
This class performs a single export in the end of training.
name
Directory name.
A directory name under the export base directory where exports of this type are written. Should not be None
nor empty.
__init__
__init__( name, serving_input_receiver_fn, assets_extra=None, as_text=False )
Create an Exporter
to use with tf.estimator.EvalSpec
.
name
: unique name of this Exporter
that is going to be used in the export path.serving_input_receiver_fn
: a function that takes no arguments and returns a ServingInputReceiver
.assets_extra
: An optional dict specifying how to populate the assets.extra directory within the exported SavedModel. Each key should give the destination path (including the filename) relative to the assets.extra directory. The corresponding value gives the full path of the source file to be copied. For example, the simple case of copying a single file without renaming it is specified as {'my_asset_file.txt': '/path/to/my_asset_file.txt'}
.as_text
: whether to write the SavedModel proto in text format. Defaults to False
.ValueError
: if any arguments is invalid.export
export( estimator, export_path, checkpoint_path, eval_result, is_the_final_export )
Exports the given Estimator
to a specific format.
estimator
: the Estimator
to export.export_path
: A string containing a directory where to write the export.checkpoint_path
: The checkpoint path to export.eval_result
: The output of Estimator.evaluate
on this checkpoint.is_the_final_export
: This boolean is True when this is an export in the end of training. It is False for the intermediate exports during the training. When passing Exporter
to tf.estimator.train_and_evaluate
is_the_final_export
is always False if TrainSpec.max_steps
is None
.The string path to the exported directory or None
if export is skipped.
© 2018 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/api_docs/python/tf/estimator/FinalExporter