torch.Tensor.fill_diagonal_#
- Tensor.fill_diagonal_(fill_value, wrap=False) Tensor#
填充至少具有2維的張量的主對角線。當dims>2時,輸入的所“有”維度必須長度相等。此函式原地修改輸入張量,並返回輸入張量。
- 引數
fill_value (Scalar) – 填充值
wrap (bool, optional) – 對於高矩陣,對角線在N列後“纏繞”。預設值:
False
示例
>>> 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.]])