T
- data type for output()
output@Operator(group="linalg") public final class Inv<T> extends PrimitiveOp implements Operand<T>
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.
Modifier and Type | Class and Description |
---|---|
static class |
Inv.Options
Optional attributes for
Inv |
operation
Modifier and Type | Method and Description |
---|---|
static Inv.Options |
adjoint(Boolean adjoint) |
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> Inv<T> |
create(Scope scope,
Operand<T> input,
Inv.Options... options)
Factory method to create a class wrapping a new Inv operation.
|
Output<T> |
output()
Shape is `[..., M, M]`.
|
equals, hashCode, op, toString
public static <T> Inv<T> create(Scope scope, Operand<T> input, Inv.Options... options)
scope
- current scopeinput
- Shape is `[..., M, M]`.options
- carries optional attributes valuespublic static Inv.Options adjoint(Boolean adjoint)
adjoint
- public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
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