Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
tf.linalg.inv(
input: _atypes.TensorFuzzingAnnotation[TV_MatrixInverse_T],
adjoint: bool = False,
name=None
) -> _atypes.TensorFuzzingAnnotation[TV_MatrixInverse_T]
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.
Returns | |
---|---|
A Tensor . Has the same type as input .
|