Finding the indices of duplicate rows in a tensor

Is there any way to find the indices of repeated (duplicate) rows in a 2D or 3D tensor using pytorch?

i.e. in the following tensor, is there any pytorch function that I can use in order to identify the indices of the repeated rows

tensor([[ 1.00, -1.00,  3.00],
        [ 2.00,  1.00,  0.00],
        [ 0.00,  2.00, -4.00],
        [ 2.00,  1.00,  0.00],
        [ 3.00, -2.00,  0.50],
        [ 1.00, -1.00, -0.50],
        [-2.50,  0.00,  2.30],
        [-0.50, -0.70,  0.60],
        [ 2.00,  1.00,  0.00]])