Equivalent to `__torch_function__()` in TF

I came across pytorch’s __torch_function__ and now I was wondering if there is an equivalent in tensorflow.

For some context:
__torch_function__ is a method that allows all kinds of objects to be treated like torch.Tensors. For example if we call torch.stack([t1, t2, t3]) with t1, t2, t2 instances of OurTensor class, this will still work, as long as the class OurTensor implements the __torch_function__() to tell torch how to handle our tensors.