def patch_pytorch_ops()

in src/exporters/coreml/models.py [0:0]

• 8 lines of code
• 2 McCabe index (conditional complexity)

    def patch_pytorch_ops(self):
        """Implement lift_fresh as a noop, unless it's already available in a future update."""
        import coremltools.converters.mil.frontend.torch.ops as ops
        if hasattr(ops, "lift_fresh"):
            return {}

        def lift_fresh(context, node):
            a = context[node.inputs[0]]
            context.add(a, node.name)

        return {"lift_fresh": lift_fresh}