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
,
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 .
|