mindspore.numpy.tri

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mindspore.numpy.tri(N, M=None, k=0, dtype=mstype.float32)[source]

Returns a tensor with ones at and below the given diagonal and zeros elsewhere.

Parameters

  • N (int) – Number of rows in the array.

  • M (int, optional) – Number of columns in the array. By default, M is taken equal to N. Default: None .

  • k (int, optional) – The sub-diagonal at and below which the array is filled. \(k = 0\) is the main diagonal, while \(k < 0\) is below it, and \(k > 0\) is above. Default: 0 .

  • dtype (mindspore.dtype, optional) – Data type of the returned array. Default: mstype.float32 .

Returns

Tensor with shape (N, M), with its lower triangle filled with ones and zeros elsewhere; in other words \(T[i,j] = 1\) for \(j <= i + k\), 0 otherwise.

Raises

TypeError – If input arguments have types not specified above.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.tri(3, 3, 1)
>>> print(output)
[[1. 1. 0.]
[1. 1. 1.]
[1. 1. 1.]]