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Kl Loss correction
See original GitHub issueI am fairly certain that this should instead read
logits = rearrange(logits, 'b n h w -> (b h w) n')
since we are summing over the latent dimension, i.e. the probs/encoder outputs and averaging over the obversations. i.e. every spatial dim separately and for every sample/batch. The docs are a little messy on this but from what I understand batchmean requires a reshaping in the sense that all examples are condensed into the batch dimension
Issue Analytics
- State:
- Created 3 years ago
- Reactions:3
- Comments:12 (6 by maintainers)
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