tfl.pwl_calibration_lib.verify_hyperparameters

Verifies that all given hyperparameters are consistent.

tfl.pwl_calibration_lib.verify_hyperparameters(
    input_keypoints=None,
    output_min=None,
    output_max=None,
    monotonicity=None,
    convexity=None,
    is_cyclic=False,
    lengths=None,
    weights_shape=None,
    input_keypoints_type=None
)

See PWLCalibration class level comment for detailed description of arguments.

Args
input_keypoints	input_keypoints of PWLCalibration layer.
output_min	Smallest output of PWLCalibration layer.
output_max	Largest output of PWLCalibration layer.
monotonicity	monotonicity hyperparameter of PWLCalibration layer.
convexity	convexity hyperparameter of PWLCalibration layer.
is_cyclic	is_cyclic hyperparameter of PWLCalibration layer.
lengths	Lengths of pieces of piecewise linear function.
weights_shape	Shape of weights of PWLCalibration layer.
input_keypoints_type	The type of input keypoints of a PWLCalibration layer.

Raises
ValueError	If something is inconsistent.