tf.keras.optimizers.schedules.PiecewiseConstantDecay

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A LearningRateSchedule that uses a piecewise constant decay schedule.

Inherits From: LearningRateSchedule

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.optimizers.schedules.PiecewiseConstantDecay, `tf.compat.v2.keras.optimizers.schedules.PiecewiseConstantDecay`, `tf.compat.v2.optimizers.schedules.PiecewiseConstantDecay`

tf.keras.optimizers.schedules.PiecewiseConstantDecay(
    boundaries, values, name=None
)

Args
boundaries	A list of Tensors or ints or floats with strictly increasing entries, and with all elements having the same type as the optimizer step.
values	A list of Tensors or floats or ints that specifies the values for the intervals defined by boundaries. It should have one more element than boundaries, and all elements should have the same type.
name	A string. Optional name of the operation. Defaults to 'PiecewiseConstant'.

Raises
ValueError	if the number of elements in the lists do not match.

Methods

from_config

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@classmethod
from_config(
    config
)

Instantiates a LearningRateSchedule from its config.

Args
config	Output of get_config().

Returns
A LearningRateSchedule instance.

get_config

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get_config()

__call__

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__call__(
    step
)

Call self as a function.