encoder-agnostic-adaptation
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Dependency resolved and slight performance enhancements
The issues with its current version:
- Broken code due to inappropriate
requirements.txt
- Version conflicts between different packages
- Some unclear steps in the README on data-used and how to retrieve it.
- GPU usage only (Not everyone owns one)
This PR covers:
- Slight improvements for performance enhancements.
- Pinning requirements explicitly
requirements.txt
with all the proper versions so that code does not break if packages are updated in the future. - Update README.md for proper and easy use of the repo.
- CPU made the default device with clear steps to change to GPU in the config files.
- data_convert.py example added with proper description and comments for .bin to .txt.src and .txt.tgt file conversion.
- Descriptive colab-notebook added for getting the data
raw cnn-dm stories
to .txt.src and .txt.tgt