tf.keras.optimizers.schedules.PiecewiseConstantDecay

A LearningRateSchedule that uses a piecewise constant decay schedule.

Main aliases

tf.optimizers.schedules.PiecewiseConstantDecay

Compat aliases for migration

See Migration guide for more details.

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

Args
`boundaries`	A list of `Tensor`s or `int`s or `float`s with strictly increasing entries, and with all elements having the same type as the optimizer step.
`values`	A list of `Tensor`s or `float`s or `int`s 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

@classmethod
from_config(
    config
)

Instantiates a LearningRateSchedule from its config.

Args
`config`	Output of `get_config()`.

Returns
A `LearningRateSchedule` instance.

get_config()

__call__(
    step
)

Call self as a function.