Computes the ids of the positions in sampled_candidates that match true_labels.
tf.raw_ops.ComputeAccidentalHits(
true_classes, sampled_candidates, num_true, seed=0, seed2=0, name=None
)
When doing log-odds NCE, the result of this op should be passed through a SparseToDense op, then added to the logits of the sampled candidates. This has the effect of 'removing' the sampled labels that match the true labels by making the classifier sure that they are sampled labels.
Returns | |
---|---|
A tuple of Tensor objects (indices, ids, weights).
|
|
indices
|
A Tensor of type int32 .
|
ids
|
A Tensor of type int64 .
|
weights
|
A Tensor of type float32 .
|