mindspore.numpy.diagflat

mindspore.numpy.diagflat(v, k=0)[source]

Creates a two-dimensional array with the flattened input as a diagonal.

Note

On GPU, the supported dtypes are np.float16, and np.float32.

Parameters

v (Tensor) – Input data, which is flattened and set as the k-th diagonal of the output.
k (int, optional) – Diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.

Returns

Tensor, The 2-D output array.

Raises

TypeError – if the input is not a tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.diagflat(np.asarray([[1,2], [3,4]]))
>>> print(output)
[[1 0 0 0]
[0 2 0 0]
[0 0 3 0]
[0 0 0 4]]
>>> output = np.diagflat(np.asarray([1,2]), 1)
>>> print(output)
[[0 1 0]
[0 0 2]
[0 0 0]]