tf.linalg.inv

Computes the inverse of one or more square invertible matrices or their

View aliases

Main aliases

`tf.matrix_inverse`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.inv, tf.compat.v1.matrix_inverse, `tf.compat.v2.linalg.inv`

tf.linalg.inv(
    input, adjoint=False, name=None
)

adjoints (conjugate transposes).

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.