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weights satisfiy constraints.
tfl.categorical_calibration_lib.assert_constraints( weights, output_min, output_max, monotonicities, debug_tensors=None, eps=1e-06 )
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.
List of assertion ops in graph mode or immideately asserts in eager mode.