T - data type for values() output@Operator public final class NthElement<T extends Number> extends PrimitiveOp implements Operand<T>
If the input is a vector (rank-1), finds the entries which is the nth-smallest value in the vector and outputs their values as scalar tensor.
For matrices (resp. higher rank input), computes the entries which is the nth-smallest value in each row (resp. vector along the last dimension). Thus,
values.shape = input.shape[:-1]
| Modifier and Type | Class and Description |
|---|---|
static class |
NthElement.Options
Optional attributes for
NthElement |
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> input,
Operand<Integer> n,
NthElement.Options... options)
Factory method to create a class to wrap a new NthElement operation to the graph.
|
static NthElement.Options |
reverse(Boolean reverse) |
Output<T> |
values()
The `n`-th order statistic along each last dimensional slice.
|
equals, hashCode, toStringpublic static <T extends Number> NthElement<T> create(Scope scope, Operand<T> input, Operand<Integer> n, NthElement.Options... options)
scope - current graph scopeinput - 1-D or higher with last dimension at least `n+1`.n - 0-D. Position of sorted vector to select along the last dimension (along
each row for matrices). Valid range of n is `[0, input.shape[:-1])`options - carries optional attributes valuespublic static NthElement.Options reverse(Boolean reverse)
reverse - When set to True, find the nth-largest value in the vector and vice
versa.public Output<T> asOutput()
OperandInputs 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)Copyright © 2015–2019. All rights reserved.