Aliases:
tf.linalg.solve
tf.matrix_solve
tf.linalg.solve(
matrix,
rhs,
adjoint=False,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_linalg_ops.py
.
Solves systems of linear equations.
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[..., :, :]
.
Args:
matrix
: ATensor
. Must be one of the following types:float64
,float32
,complex64
,complex128
. Shape is[..., M, M]
.rhs
: ATensor
. Must have the same type asmatrix
. Shape is[..., M, K]
.adjoint
: An optionalbool
. Defaults toFalse
. Boolean indicating whether to solve withmatrix
or its (block-wise) adjoint.name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as matrix
.