tfm.optimization.register_optimizer_cls
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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.
|
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Last updated 2024-02-02 UTC.
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