torch.Tensor.fill_diagonal_¶
- Tensor.fill_diagonal_(fill_value, wrap=False) Tensor ¶
Fill the main diagonal of a tensor that has at least 2-dimensions. When dims>2, all dimensions of input must be of equal length. This function modifies the input tensor in-place, and returns the input tensor.
- Parameters
fill_value (Scalar) – the fill value
wrap (bool) – the diagonal ‘wrapped’ after N columns for tall matrices.
Example:
>>> a = torch.zeros(3, 3) >>> a.fill_diagonal_(5) tensor([[5., 0., 0.], [0., 5., 0.], [0., 0., 5.]]) >>> b = torch.zeros(7, 3) >>> b.fill_diagonal_(5) tensor([[5., 0., 0.], [0., 5., 0.], [0., 0., 5.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]) >>> c = torch.zeros(7, 3) >>> c.fill_diagonal_(5, wrap=True) tensor([[5., 0., 0.], [0., 5., 0.], [0., 0., 5.], [0., 0., 0.], [5., 0., 0.], [0., 5., 0.], [0., 0., 5.]])