tensorflow::ops::InTopK

#include <nn_ops.h>

Says whether the targets are in the top K predictions.

Summary

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,

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

Arguments:

• scope: A Scope object
• 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:

• Output: Computed Precision at k as a bool Tensor.

Public attributes

::tensorflow::Output precision

Public functions

 InTopK(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input predictions,
  ::tensorflow::Input targets,
  int64 k
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const