mindspore.ops.matrix_solve

mindspore.ops.matrix_solve(matrix, rhs, adjoint=False)[source]

Solves systems of linear equations.

\[\begin{split}\begin{aligned} &matrix[..., M, M] * x[..., M, K] = rhs[..., M, K]\\ &adjoint(matrix[..., M, M]) * x[..., M, K] = rhs[..., M, K] \end{aligned}\end{split}\]

Warning

On GPU, if the matrix is irreversible, an error may be reported or an unknown result may be returned.

Parameters

matrix (Tensor) – The first input tensor.
rhs (Tensor) – The second input tensor.
adjoint (bool, optional) – Indicating whether to solve with matrix or its (block-wise) adjoint. Default False .

Returns

Tensor

Supported Platforms:: Ascend CPU

Examples

>>> import mindspore
>>> matrix = mindspore.tensor([[5., 4.], [3., 1.]])
>>> rhs = mindspore.tensor([[7.], [2.]])
>>> result = mindspore.ops.matrix_solve(matrix, rhs)
>>> print(result)
[[0.14285707]
 [1.5714287 ]]