tf.raw_ops.InTopKV2

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Says whether the targets are in the top K predictions.

tf.raw_ops.InTopKV2(
    predictions, targets, k, name=None
)

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,

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