Add loss tensor(s), potentially dependent on layer inputs. Some losses (for instance, activity regularization losses) may be dependent on the inputs passed when calling a layer. Hence, when reusing a same layer on different inputs `a` and `b`, some entries in `layer.losses` may be d
(self, losses, inputs=None)
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