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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.matrix_solve

mindspore.ops.matrix_solve(matrix, rhs, adjoint=False)

Solves systems of linear equations.

$$\begin{array}{r}\begin{array}{rl}& matrix[...,M,M]\ast x[...,M,K]=rhs[...,M,K]\\ & adjoint(matrix[...,M,M])\ast x[...,M,K]=rhs[...,M,K]\end{array}\end{array}$$

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 ]]