mindspore.ops.slogdet
- mindspore.ops.slogdet(input)[source]
Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
- Parameters
input (Tensor) – A matrix to be calculated, its shape is
. The matrix must be at least two dimensions, and the last two dimensions must be the same size. Data type must be float32, float64, complex64 or complex128.- Returns
Tensor. The signs of the log determinants. The shape is
, and the dtype is same as input.Tensor. The absolute values of the log determinants. The shape is
. The dtype always be real-value, even input is complex.- Raises
TypeError – If input is not a Tensor.
TypeError – If dtype of input not float32, float64, complex64 or complex128.
ValueError – If the last two dimensions of input is not same size.
ValueError – If the dimension of input is less than 2.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_x = Tensor(np.array([[[-4.5, -1.5], [7.0, 6.0]], [[2.5, 0.5], [3.0, 9.0]]]), mindspore.float32) >>> sign, output = ops.slogdet(input_x) >>> print(sign) [-1. 1.] >>> print(output) [2.80336046e+00 3.04452229e+00]