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Dependency resolved and slight performance enhancements #12
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Commits on Aug 28, 2021
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Pin all dependencies explicitly
- This caused huge errors in form of tracebacks. - Now all depencies are resolved. - Removed duplicate dependencies between requirements.txt file - Preprocessing works fine so the project is good to go.
saadz-khan committedAug 28, 2021 Configuration menu - View commit details
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- All dependencies along with the python version mentioned. - Dataset used and preprocessing steps mentioned. - Config file alteration mentioned.
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Config Files setup for CPU by default
- Changed GPU ranks so that CPU is used by default. - Uncomment the gpu-ranks and according to the number of GPU's being used. Set world_size (1 for 1 GPU or CPU).
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Config changes for Default CPU usage
- Defaulting to CPU rather then to GPU. - Comment out the gpu_ranks variable in config and set world_size. (world_size 1 for 1 GPU or CPU)
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Removed +1, Already done in line above
- Here adding +2 to any n_feats will crash our results.
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Handle failure to set CUDA device, fallback to CPU then
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Tensors to be bytes rather than bools
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Adding the script for converting .bin to .txt.src and txt.tgt
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Added Dependency for the data/data_convert.py script in the comments.
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README.md update Added colab notebook made-easy.ipynb
- .bin file creation from raw stories - .bin to .txt.src and .txt.tgt
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