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 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 .
|
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Last updated 2024-01-23 UTC.
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