555ca942df407b8c1bf1d48383c60fa1bf09cc1d,keras/engine/network.py,Network,losses,#Network#,417

Before Change

        // Add any potential unconditional model-level loss.
        losses += self.get_losses_for(None)

        unique_tensors = list(
            set(x for x in losses if not isinstance(x, (float, int))))
        non_tensors = [x for x in losses if isinstance(x, (float, int))]
        return unique_tensors + non_tensors

    @property

After Change

        losses += self.get_losses_for(None)

        unique_tensors = []
        unique_tensors_ids = set()
        for x in losses:
            if not isinstance(x, (float, int)):
                if id(x) not in unique_tensors_ids:
                    unique_tensors.append(x)

Instances