2D Pytorch tensor doesn't have independent random values

Question

I've written some Python to create a pytorch tensor of random values, sampled from a Student's t distribution with 10 degrees of freedom:

t = torch.Tensor(())
def random_from(shape):
    return torch.distributions.StudentT(10, t.new_zeros(shape), t.new_ones(shape)).sample()

If shape is of the form $(n, m)$, all values in the resulting 2D tensor are identical. I don't understand why. I did try reading Pytorch's documentation, but I couldn't find anything that helped me understand what would be a better syntax. I suppose I could create separate samples then concatenate them, but apart from the speed implications I'd like to know where my existing syntax goes wrong.