Solves systems of linear equations.
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[..., :, :].
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.
|