mindspore.nn.MatDet

class mindspore.nn.MatDet[source]

Calculates the determinant of Positive-Definite Hermitian matrix using Cholesky decomposition.

Inputs:

a (Tensor[Number]) - The input tensor. It must be a positive-definite matrix. With float16 or float32 data type.

Outputs:

Tensor, has the same dtype as the a.

Raises: TypeError – If dtype of a is neither float16 nor float32.

Supported Platforms:: GPU

Examples

>>> input_a = Tensor(np.array([[4, 12, -16], [12, 37, -43], [-16, -43, 98]]).astype(np.float32))
>>> op = nn.MatDet()
>>> output = op(input_a)
>>> print(output)
35.999996