tensorflow:: ops:: InTopKV2
  #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,
Arguments:
- scope: A Scope object
 - predictions: A 
batch_sizexclassestensor. - targets: A 
batch_sizevector of class ids. - k: Number of top elements to look at for computing precision.
 
Returns:
        Constructors and Destructors | 
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        InTopKV2(const ::tensorflow::Scope & scope, ::tensorflow::Input predictions, ::tensorflow::Input targets, ::tensorflow::Input k)
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        Public attributes | 
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        operation
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        precision
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        Public functions | 
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        node() const 
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        ::tensorflow::Node *
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        operator::tensorflow::Input() const 
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        operator::tensorflow::Output() const 
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Public attributes
operation
Operation operation
precision
::tensorflow::Output precision
Public functions
InTopKV2
InTopKV2( const ::tensorflow::Scope & scope, ::tensorflow::Input predictions, ::tensorflow::Input targets, ::tensorflow::Input k )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const