tfl.categorical_calibration_lib.assert_constraints

Asserts that weights satisfiy constraints.

tfl.categorical_calibration_lib.assert_constraints(
    weights,
    output_min,
    output_max,
    monotonicities,
    debug_tensors=None,
    eps=1e-06
)

Args
weights	Tensor which represents weights of Categorical calibration layer.
output_min	Lower bound constraint on weights.
output_max	Upper bound constraint on weights.
monotonicities	List of pair of indices (i, j), indicating constraint weight[i] <= weight[j].
debug_tensors	None or list of anything convertible to tensor (for example tensors or strings) which will be printed in case of constraints violation.
eps	Allowed constraints violation.

Returns
List of assertion ops in graph mode or immideately asserts in eager mode.