Says whether the targets are in the top K predictions.
tf.raw_ops.InTopK(
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
|
An int. Number of top elements to look at for computing precision.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type bool.
|