|TensorFlow 1 version|
Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Compat aliases for migration
See Migration guide for more details.
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.
An optional |