mindspore.ops.logdet

mindspore.ops.logdet(input)[source]

Calculates log determinant of one or a batch of square matrices.

Parameters: input (Tensor) – Tensor of shape \((*, n, n)\) where \(*\) means zero or more batch dimensions.
Returns: Tensor, the log determinant of input. If the matrix determinant is smaller than 0, nan will be returned. If the matrix determinant is 0, -inf will be returned.
Raises: TypeError – If dtype of input is not float32, float64, Complex64 or Complex128.

Supported Platforms:: CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, ops
>>> a = Tensor([[[8, 9], [1, 2]], [[5, 6], [3, 4]]], mindspore.float32)
>>> output = ops.logdet(a)
>>> print(output)
[1.9459091 0.6931454]