bin_edges(Tensor[]): sequence of N 1D Tensors containing the bin
      edges.
Return type:
      hist (Tensor)
Example::
      >>> torch.histogramdd(torch.tensor([[0., 1.], [1., 0.], [2., 0.], [2., 2.]]), bins=[3, 3],
      ...                   weight=torch.tensor([1., 2., 4., 8.]))
          torch.return_types.histogramdd(
              hist=tensor([[0., 1., 0.],
                           [2., 0., 0.],
                           [4., 0., 8.]]),
              bin_edges=(tensor([0.0000, 0.6667, 1.3333, 2.0000]),
                         tensor([0.0000, 0.6667, 1.3333, 2.0000])))
  >>> torch.histogramdd(torch.tensor([[0., 0.], [1., 1.], [2., 2.]]), bins=[2, 2],
  ...                   range=[0., 1., 0., 1.], density=True)
      torch.return_types.histogramdd(
         hist=tensor([[2., 0.],
                      [0., 2.]]),
         bin_edges=(tensor([0.0000, 0.5000, 1.0000]),
                    tensor([0.0000, 0.5000, 1.0000])))
