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Dependency resolved and slight performance enhancements #12

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Commits on Aug 28, 2021

  1. 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 committed Aug 28, 2021
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  2. Updated README.md

    - All dependencies along with the python version mentioned.
    - Dataset used and preprocessing steps mentioned.
    - Config file alteration mentioned.
    saadz-khan committed Aug 28, 2021
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  3. 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).
    saadz-khan committed Aug 28, 2021
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  4. 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)
    saadz-khan committed Aug 28, 2021
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  5. Removed +1, Already done in line above

    - Here adding +2 to any n_feats will crash our results.
    saadz-khan committed Aug 28, 2021
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  7. Tensors to be bytes rather than bools

    saadz-khan committed Aug 28, 2021
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  9. Add time prints for each step

    saadz-khan committed Aug 28, 2021
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  11. README.md update Added colab notebook made-easy.ipynb

    - .bin file creation from raw stories
    - .bin to .txt.src and .txt.tgt
    saadz-khan committed Aug 28, 2021
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