tfm.optimization.LinearWarmup
Linear warmup schedule.
View aliases
Main aliases
tfm.optimization.lr_schedule.LinearWarmup
tfm.optimization.LinearWarmup(
after_warmup_lr_sched: Union[tf.keras.optimizers.schedules.LearningRateSchedule, float],
warmup_steps: int,
warmup_learning_rate: float,
name: Optional[str] = None
)
Args |
after_warmup_lr_sched
|
tf.keras.optimizers.schedules .LearningRateSchedule
or a constant.
|
warmup_steps
|
Number of the warmup steps.
|
warmup_learning_rate
|
Initial learning rate for the warmup.
|
name
|
Optional, name of warmup schedule.
|
Methods
from_config
@classmethod
from_config(
config
)
Instantiates a LearningRateSchedule
from its config.
Args |
config
|
Output of get_config() .
|
Returns |
A LearningRateSchedule instance.
|
get_config
View source
get_config() -> Mapping[str, Any]
__call__
View source
__call__(
step: int
)
Call self as a function.
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."],[],[]]