Finds values of the `n`-th order statistic for the last dimension.
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]
Nested Classes
class | NthElement.Options | Optional attributes for NthElement
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TNumber> NthElement<T> | |
static NthElement.Options |
reverse(Boolean reverse)
|
Output<T> |
values()
The `n`-th order statistic along each last dimensional slice.
|
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 NthElement<T> create (Scope scope, Operand<T> input, Operand<TInt32> n, Options... options)
Factory method to create a class wrapping a new NthElement operation.
Parameters
scope | current scope |
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input | 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 values |
Returns
- a new instance of NthElement
public static NthElement.Options reverse (Boolean reverse)
Parameters
reverse | When set to True, find the nth-largest value in the vector and vice versa. |
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