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Marcin Junczys-Dowmunt 2018-07-01 00:19:28 -07:00
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CHANGELOG.md
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@ -11,14 +11,19 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
- Faster training (20-30%) by optimizing gradient popagation of biases
- Returning hard alignments during decoding
- Refactored sync sgd for easier communication and integration with NCCL
- Smaller memory-overhead for sync-sgd
- NCCL integration (version 2.2.13)
### Fixed
- A couple of bugs in "selection" (transpose, shift, cols, rows) operators during
back-prob for a very specific case: one of the operators is the first operator after
a branch, in that case gradient propgation might be interrupted. This did not affect
a branch, in that case gradient propgation might be interrupted. This did not affect
any of the existing models as such a case was not present, but might have caused
future models to not train properly.
- Bug in mini-batch-fit, tied embeddings would result in identical embeddings in fake
source and target batch. Caused under-estimation of memory usage and re-allocation.
## [1.5.0] - 2018-06-17