tfm.optimization.register_optimizer_cls
Register customize optimizer cls.
tfm.optimization.register_optimizer_cls(
key: str,
optimizer_config_cls: Union[tf.keras.optimizers.Optimizer, tf.keras.optimizers.legacy.Optimizer,
tf.keras.optimizers.experimental.Optimizer],
use_legacy_optimizer: bool = True
)
The user will still need to subclass data classes in
configs.optimization_config to be used with OptimizerFactory.
Args |
key
|
A string to that the optimizer_config_cls is registered with.
|
optimizer_config_cls
|
A class which inherits tf.keras.optimizers.Optimizer.
|
use_legacy_optimizer
|
A boolean that indicates if using legacy optimizers.
|
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.
[null,null,["Last updated 2024-02-02 UTC."],[],[]]