Releases
2.2.8
[2.2.8]
Changed
Make source/target data parameters required for the scoring CLI to avoid cryptic error messages.
[2.2.7]
Added
Added an argument to specify the log level of secondary workers. Defaults to ERROR to hide any logs except for exceptions.
[2.2.6]
Fixed
Avoid a crash due to an edge case when no model improvement has been observed by the time the learning rate gets reduced for the first time.
[2.2.5]
Fixed
Enforce sentence batching for sockeye score tool, set default batch size to 56
[2.2.4]
Changed
Use softmax with length in DotAttentionCell.
Use contrib.arange_like
in AutoRegressiveBias block to reduce number of ops.
[2.2.3]
Added
Log the absolute number of <unk>
tokens in source and target data
[2.2.2]
Fixed
Fix: Guard against null division for small batch sizes.
[2.2.1]
Fixed
Fixes a corner case bug by which the beam decoder can wrongly return a best hypothesis with -infinite score.
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