Sockeye

Latest version: v3.1.34

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3.1.4

Added
- Added support for the use of adding target prefix and target prefix factors to the input in JSON format during inference.

3.1.3

Added
- Added support for the use of adding source prefixes to the input in JSON format during inference.

3.1.2

Changed
- Optimized creation of source length mask by using `expand` instead of `repeat_interleave`.

3.1.1

Changed
- Updated torch dependency to 1.10.x (`torch>=1.10.0,<1.11.0`)

3.1.0

Sockeye is now exclusively based on Pytorch.

Changed
- Renamed `x_pt` modules to `x`. Updated entry points in `setup.py`.

Removed
- Removed MXNet from the codebase
- Removed device locking / GPU acquisition logic. Removed dependency on `portalocker`.
- Removed arguments `--softmax-temperature`, `--weight-init-*`, `--mc-dropout`, `--horovod`, `--device-ids
- Removed all MXNet-related tests

3.0.15

Fixed
- Fixed GPU-based scoring by copying to cpu tensor first before converting to numpy.

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