tfm.core.export_base.export
Stay organized with collections
Save and categorize content based on your preferences.
Exports to SavedModel format.
tfm.core.export_base.export(
export_module: tfm.core.export_base.ExportModule
,
function_keys: Union[List[Text], Dict[Text, Text]],
export_savedmodel_dir: Text,
checkpoint_path: Optional[Text] = None,
timestamped: bool = True,
save_options: Optional[tf.saved_model.SaveOptions] = None,
checkpoint: Optional[tf.train.Checkpoint] = None
) -> Text
Args |
export_module
|
a ExportModule with the keras Model and serving tf.functions.
|
function_keys
|
a list of string keys to retrieve pre-defined serving
signatures. The signaute keys will be set with defaults. If a dictionary
is provided, the values will be used as signature keys.
|
export_savedmodel_dir
|
Output saved model directory.
|
checkpoint_path
|
Object-based checkpoint path or directory.
|
timestamped
|
Whether to export the savedmodel to a timestamped directory.
|
save_options
|
SaveOptions for tf.saved_model.save .
|
checkpoint
|
An optional tf.train.Checkpoint. If provided, the export module
will use it to read the weights.
|
Returns |
The savedmodel directory path.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-02-02 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-02-02 UTC."],[],[]]