tfl.pwl_calibration_layer.NaiveBoundsConstraints

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.

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

Methods

@classmethod
from_config(
    config
)

Instantiates a weight constraint from a configuration dictionary.

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()

Standard Keras config for serialization.

__call__(
    w
)

Applies constraints to w.