tf.linalg.inv

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.

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).

A Tensor. Has the same type as input.