tfl.pwl_calibration_layer.NaiveBoundsConstraints

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Naively clips all elements of tensor to be within bounds.

tfl.pwl_calibration_layer.NaiveBoundsConstraints(
    lower_bound=None, upper_bound=None
)

This constraint is used only for the weight tensor for missing output value.

lower_bound Lower bound to clip variable values to.
upper_bound Upper bound to clip variable values to.

Methods

from_config

@classmethod
from_config(
    config
)

Instantiates a weight constraint from a configuration dictionary.

Example:

constraint = UnitNorm()
config = constraint.get_config()
constraint = UnitNorm.from_config(config)

Args
config A Python dictionary, the output of get_config.

Returns
A tf.keras.constraints.Constraint instance.

get_config

View source

get_config()

Standard Keras config for serialization.

__call__

View source

__call__(
    w
)

Applies constraints to w.