Unit Test Fail: test_infection_functions.py

[akruel01]

TypeError: dot(): argument 'tensor' (position 2) must be Tensor, not tuple

Line 35 test_infection_functions.py: 
infs_feedback, Rt_adj = inf.compute_infections_from_rt_with_feedback(
                    I0, Rt_raw, torch.zeros_like(Rt_raw), gen_int, inf_pmf )

Line 169 pyrenew/convolve.py (in _scanner):
m_net1 = t1(m1 * torch.dot(arr1, history_subset))

history_subset = (tensor([2.3500e-01, 6.5230e+00, 1.0005e+05]), (tensor([0., 0., 0.]), tensor([0., 0., 0.])))
multipliers = (tensor([0., 0., 0., 0.]),)

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Explanation - history_subset in convolve.py is a tuple of two Tensors, instead of just one Tensor. Not sure where it's taking from.