Inv

public final class Inv

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

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static Inv.Options
adjoint (Boolean adjoint)
Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
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.
Output <T>
output ()
Shape is `[..., M, M]`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "MatrixInverse"

Public Methods

public static Inv.Options adjoint (Boolean adjoint)

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

public Output <T> output ()

Shape is `[..., M, M]`.