tfl.categorical_calibration_lib.assert_constraints
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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.
|
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Last updated 2024-08-02 UTC.
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