tf.raw_ops.MatrixSolve | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.MatrixSolve
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Solves systems of linear equations.
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tf.compat.v1.raw_ops.MatrixSolve
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 satisfiesadjoint(matrix[..., :, :]) * output[..., :, :] = rhs[..., :, :].
| 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). |
| Returns |
|---|
| A Tensor. Has the same type as matrix. |