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2.2.8

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@fhieber fhieber released this 05 Nov 14:06
cbe9bff

[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.