tf.linalg.solve | TensorFlow v2.16.1 (original) (raw)
Solves systems of linear equations.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.linalg.solve, tf.compat.v1.matrix_solve
tf.linalg.solve(
matrix: Annotated[Any, TV_MatrixSolve_T],
rhs: Annotated[Any, TV_MatrixSolve_T],
adjoint: bool = False,
name=None
) -> Annotated[Any, TV_MatrixSolve_T]
Used in the notebooks
| Used in the guide | Used in the tutorials |
|---|---|
| Advanced automatic differentiation | A Tour of TensorFlow Probability |
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. |