# tf.raw_ops.MatrixSolve

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Solves systems of linear equations.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.MatrixSolve`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/MatrixSolve)

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    tf.raw_ops.MatrixSolve(
        matrix, rhs, adjoint=False, name=None
    )

`Matrix` is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions
form square matrices. `Rhs` is a tensor of shape `[..., M, K]`. The `output` is
a tensor shape `[..., M, K]`. If `adjoint` is `False` then each output matrix
satisfies `matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]`.
If `adjoint` is `True` then each output matrix satisfies
`adjoint(matrix[..., :, :]) * output[..., :, :] = rhs[..., :, :]`.

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| ## Args ||
|---|---|
| `matrix` | A `Tensor`. Must be one of the following types: `float64`, `float32`, `half`, `complex64`, `complex128`. Shape is `[..., M, M]`. |
| `rhs` | A `Tensor`. Must have the same type as `matrix`. Shape is `[..., M, K]`. |
| `adjoint` | An optional `bool`. Defaults to `False`. Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `matrix`. ||

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