tfl.pwl_calibration_lib.assert_constraints

Asserts that 'outputs' satisfiy constraints.

tfl.pwl_calibration_lib.assert_constraints(
    outputs,
    monotonicity,
    output_min,
    output_max,
    clamp_min=False,
    clamp_max=False,
    debug_tensors=None,
    eps=1e-06
)

outputs Tensor of shape (num_output_values, units) which represents outputs of pwl calibration layer which will be tested against the given constraints. If monotonicity is specified these outputs must be for consequtive inputs.
monotonicity One of {-1, 0, 1}. -1 for decreasing, 1 for increasing 0 means no monotonicity checks.
output_min Lower bound or None.
output_max Upper bound or None.
clamp_min Whether one of outputs must match output_min.
clamp_max Whther one of outputs must match output_max.
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.

ValueError If monotonicity is not one of {-1, 0, 1}

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