eigvalsh

paddle.linalg. eigvalsh ( x: Tensor, UPLO: Literal['L', 'U'] = 'L', name: str | None = None ) → Tensor [source]

Computes the eigenvalues of a complex Hermitian (conjugate symmetric) or a real symmetric matrix.

Parameters

x (Tensor) – A tensor with shape \([*, M, M]\) , where * is zero or greater batch dimension. The data type of the input Tensor x should be one of float32, float64, complex64, complex128.
UPLO (str, optional) – Lower triangular part of a (‘L’, default) or the upper triangular part (‘U’).
name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to api_guide_Name.

Returns

The tensor eigenvalues in ascending order.

Return type

Tensor

Examples

           >>> import paddle

>>> x = paddle.to_tensor([[1, -2j], [2j, 5]])
>>> out_value = paddle.eigvalsh(x, UPLO='L')
>>> print(out_value)
Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.17157286, 5.82842731])

          