description: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
tf.linalg.inv(
input, adjoint=False, name=None
)
The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions
form square matrices. The output is a tensor of the same shape as the input
containing the inverse for all input submatrices [..., :, :].
The op uses LU decomposition with partial pivoting to compute the inverses.
If a matrix is not invertible there is no guarantee what the op does. It may detect the condition and raise an exception or it may simply return a garbage result.
Args | |
|---|---|
input
|
A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128.
Shape is [..., M, M].
|
adjoint
|
An optional bool. Defaults to False.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as input.
|