InTopK

public final class InTopK

Says whether the targets are in the top `K` predictions.

This outputs a `batch_size` bool array, an entry `out[i]` is `true` if the prediction for the target class is among the top `k` predictions among all predictions for example `i`. Note that the behavior of `InTopK` differs from the `TopK` op in its handling of ties; if multiple classes have the same prediction value and straddle the top-`k` boundary, all of those classes are considered to be in the top `k`.

More formally, let

\$predictions_i\$ be the predictions for all classes for example `i`, \$targets_i\$ be the target class for example `i`, \$out_i\$ be the output for example `i`,

o u t_{i} = p r e d i c t i o n s_{i, t a r g e t s_{i}} \in T o p K I n c l u d i n g T i e s (p r e d i c t i o n s_{i})

$out_i = predictions_{i, targets_i} \in TopKIncludingTies(predictions_i)$

Constants

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

Public Methods

Output<TBool>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> InTopK	create(Scope scope, Operand<TFloat32> predictions, Operand<T> targets, Operand<T> k) Factory method to create a class wrapping a new InTopK operation.
Output<TBool>	precision() Computed precision at `k` as a `bool Tensor`.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<TBool>	asOutput() Returns the symbolic handle of the tensor.
abstract TBool	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TBool>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "InTopKV2"

Public Methods

public Output<TBool> 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 InTopK create (Scope scope, Operand<TFloat32> predictions, Operand<T> targets, Operand<T> k)

Factory method to create a class wrapping a new InTopK operation.

Parameters

scope	current scope
predictions	A `batch_size` x `classes` tensor.
targets	A `batch_size` vector of class ids.
k	Number of top elements to look at for computing precision.

Returns

a new instance of InTopK

public Output<TBool> precision ()

Computed precision at `k` as a `bool Tensor`.