TensorFlow 1 version
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Computes the inverse of one or more square invertible matrices or their
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 | |
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input
|
A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128.
Shape is [..., M, M].
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adjoint
|
An optional bool. Defaults to False.
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name
|
A name for the operation (optional). |
Returns | |
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A Tensor. Has the same type as input.
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