tf.raw_ops.InTopKV2 | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.InTopKV2
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Says whether the targets are in the top K predictions.
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Compat aliases for migration
SeeMigration guide for more details.
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,
\[out_i = predictions_{i, targets_i} \in TopKIncludingTies(predictions_i)\]
| Args | |
|---|---|
| predictions | A Tensor of type float32. A batch_size x classes tensor. |
| targets | A Tensor. Must be one of the following types: int32, int64. A batch_size vector of class ids. |
| k | A Tensor. Must have the same type as targets. Number of top elements to look at for computing precision. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type bool. |