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.
Returns | |
|---|---|
A Tensor. Has the same type as input.
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