Computes the inverse of one or more square invertible matrices or their 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.
Nested Classes
class | Inv.Options | Optional attributes for Inv
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static Inv.Options |
adjoint(Boolean adjoint)
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Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TType> Inv<T> |
create(Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new Inv operation.
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Output<T> |
output()
Shape is `[..., M, M]`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Inv<T> create (Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new Inv operation.
Parameters
scope | current scope |
---|---|
input | Shape is `[..., M, M]`. |
options | carries optional attributes values |
Returns
- a new instance of Inv