tf.linalg.solve

Solves systems of linear equations.

tf.linalg.solve(
    matrix: _atypes.TensorFuzzingAnnotation[TV_MatrixSolve_T],
    rhs: _atypes.TensorFuzzingAnnotation[TV_MatrixSolve_T],
    adjoint: bool = False,
    name=None
) -> _atypes.TensorFuzzingAnnotation[TV_MatrixSolve_T]

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[..., :, :].