Constructing reference/baseline for LSTM - Layer Integrated Gradients

`# compute attributions and approximation delta using layer integrated gradients

attributions_ig, delta = lig.attribute((input_indices,h), (reference_indices,h),
n_steps=500, return_convergence_delta=True)
When I run the above code, I get the following error.
AssertionError: baseline input argument must be either a torch.Tensor or a number however <class ‘tuple’> detected

But the documentation says that a tuple can be passed as baseline argument.

Am I doing this right?

Similar problem here. Did you find a way out?