T
- data type for y()
output@Operator(group="math") public final class InvertPermutation<T extends Number> extends PrimitiveOp implements Operand<T>
This operation computes the inverse of an index permutation. It takes a 1-D integer tensor `x`, which represents the indices of a zero-based array, and swaps each value with its index position. In other words, for an output tensor `y` and an input tensor `x`, this operation computes the following:
`y[x[i]] = i for i in [0, 1, ..., len(x) - 1]`
The values must include 0. There can be no duplicate values or negative values.
For example:
# tensor `x` is [3, 4, 0, 2, 1]
invert_permutation(x) ==> [2, 4, 3, 0, 1]
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> x)
Factory method to create a class wrapping a new InvertPermutation operation.
|
Output<T> |
y()
1-D.
|
equals, hashCode, op, toString
public static <T extends Number> InvertPermutation<T> create(Scope scope, Operand<T> x)
scope
- current scopex
- 1-D.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 extends Number>
OperationBuilder.addInput(Output)
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