Variable no. of arguments in Custom Op Schema(TorchScript)

I have been following this tutorial to implement Customer Op in C++: Extending TorchScript with Custom C++ Operators — PyTorch Tutorials 1.12.0+cu102 documentation

What i wanted to know is that what should the schema look like for registering a custom Op that can take variable no. of arguments ?

Earlier (upto Pytorch1.9) the following types
myCustomOp (Tensor) -> Tensor[]
myCustomOp (std::string, Tensor) -> Tensor[]
myCustomOp (Tensor, Tensor) -> Tensor[]

and so on could be registered by single schema

myCustomOp(...) -> Tensor

but pytorch 1.10 onwards this is not possible.

Please let me know how should I update my code so I can accept arbitrary no. of arguments like before