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Fix return type documentation of inception score #2467

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merged 2 commits into from
Mar 24, 2024
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Fix return type documentation of inception score #2467

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61e6c1c
Fix return type documentation of inception score
furkan-celik Mar 24, 2024
3dba426
fix too long line
SkafteNicki Mar 24, 2024
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6 changes: 4 additions & 2 deletions src/torchmetrics/image/inception.py
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Expand Up @@ -38,7 +38,7 @@ class InceptionScore(Metric):
IS = exp(\mathbb{E}_x KL(p(y | x ) || p(y)))
where :math:`KL(p(y | x) || p(y))` is the KL divergence between the conditional distribution :math:`p(y|x)`
and the margianl distribution :math:`p(y)`. Both the conditional and marginal distribution is calculated
and the marginal distribution :math:`p(y)`. Both the conditional and marginal distribution is calculated
from features extracted from the images. The score is calculated on random splits of the images such that
both a mean and standard deviation of the score are returned. The metric was originally proposed in
`inception ref1`_.
Expand All @@ -59,7 +59,9 @@ class InceptionScore(Metric):
As output of `forward` and `compute` the metric returns the following output
- ``fid`` (:class:`~torch.Tensor`): float scalar tensor with mean FID value over samples
- ``inception_mean`` (:class:`~torch.Tensor`): float scalar tensor with mean inception score over subsets
- ``inception_std`` (:class:`~torch.Tensor`): float scalar tensor with standard deviation of inception score
over subsets
Args:
feature:
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