mindspore.Tensor.triu

Tensor.triu(diagonal) → Tensor

Returns the upper triangle part of 'self' (elements that contain the diagonal and below), and set the other elements to zeros.

Warning

This is an experimental API that is subject to change or deletion.

Parameters

diagonal (int, optional) – An optional attribute indicates the diagonal to consider, default: 0 , indicating the main diagonal.

Returns

Tensor, a tensor has the same shape and data type as self.

Raises

• TypeError – If diagonal is not an int.

• ValueError – If the dimension of self is less than 2.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> x = Tensor(np.array([[ 1,  2,  3,  4],
...                      [ 5,  6,  7,  8],
...                      [10, 11, 12, 13],
...                      [14, 15, 16, 17]]))
>>> result = x.triu()
>>> print(result)
[[ 1  2  3  4]
 [ 0  6  7  8]
 [ 0  0 12 13]
 [ 0  0  0 17]]
>>> x = Tensor(np.array([[ 1,  2,  3,  4],
...                      [ 5,  6,  7,  8],
...                      [10, 11, 12, 13],
...                      [14, 15, 16, 17]]))
>>> result = x.triu(diagonal=1)
>>> print(result)
[[ 0  2  3  4]
 [ 0  0  7  8]
 [ 0  0  0 13]
 [ 0  0  0  0]]
>>> x = Tensor(np.array([[ 1,  2,  3,  4],
...                      [ 5,  6,  7,  8],
...                      [10, 11, 12, 13],
...                      [14, 15, 16, 17]]))
>>> result = x.triu(diagonal=-1)
>>> print(result)
[[ 1  2  3  4]
 [ 5  6  7  8]
 [ 0 11 12 13]
 [ 0  0 16 17]]