Sockeye

Latest version: v3.1.34

Safety actively analyzes 628969 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 17 of 45

2.1.15

Added

- Inference option `--mc-dropout` to use dropout during inference, leading to non-deterministic output. This option uses the same dropout parameters present in the model config file.

2.1.14

Added

- Added `sockeye.rerank` option `--output` to specify output file.
- Added `sockeye.rerank` option `--output-reference-instead-of-blank` to output reference line instead of best hypothesis when best hypothesis is blank.

2.1.13

Not secure
Added

- Training option `--quiet-secondary-workers` that suppresses console output for secondary workers when training with Horovod/MPI.
- Set version of isort to `<5.0.0` in requirements.dev.txt to avoid incompatibility between newer versions of isort and pylint.

2.1.12

Added

- Batch type option `max-word` for max number of words including padding tokens (more predictable memory usage than `word`).
- Batching option `--batch-sentences-multiple-of` that is similar to `--round-batch-sizes-to-multiple-of` but always rounds down (more predictable memory usage).

Changed

- Default bucketing settings changed to width 8, max sequence length 95 (96 including BOS/EOS tokens), and no bucket scaling.
- Argument `--no-bucket-scaling` replaced with `--bucket-scaling` which is False by default.

2.1.11

Changed

- Updated `sockeye.rerank` module to use "add-k" smoothing for sentence-level BLEU.

Fixed

- Updated `sockeye.rerank` module to use current N-best format.

2.1.10

Changed

- Changed to a cross-entropy loss implementation that avoids the use of SoftmaxOutput.

Page 17 of 45

Links

Releases

Has known vulnerabilities

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.