mindspore.ops.diag

mindspore.ops.diag(input_x)[source]

Constructs a diagonal tensor with a given diagonal values.

Assume input_x has dimensions \([D_1,... D_k]\), the output is a tensor of rank 2k with dimensions \([D_1,..., D_k, D_1,..., D_k]\) where: \(output[i_1,..., i_k, i_1,..., i_k] = input_x[i_1,..., i_k]\) and 0 everywhere else.

Parameters

input_x (Tensor) – The input tensor.

Returns

Tensor, has the same dtype as the input_x.

Raises

TypeError – If input_x is not a Tensor.
ValueError – If rank of input_x is less than 1.

Supported Platforms:: Ascend GPU

Examples

>>> from mindspore import Tensor
>>> import mindspore.ops as ops
>>> input_x = Tensor([1, 2, 3, 4]).astype('int32')
>>> output = ops.diag(input_x)
>>> print(output)
[[1 0 0 0]
 [0 2 0 0]
 [0 0 3 0]
 [0 0 0 4]]