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  • NVIDIA
    GNMT v2 for PyTorch
    Resource
    NVIDIA
    GNMT v2 for PyTorch

    The GNMT v2 model is an improved version of the first Google's Neural Machine Translation System with a modified attention mechanism.

  • Changelog

    1. Aug 7, 2018
    • Initial release
    1. Dec 4, 2018
    • Added exponential warm-up and step learning rate decay
    • Multi-GPU (distributed) inference and validation
    • Default container updated to NGC PyTorch 18.11-py3
    • General performance improvements
    1. Feb 14, 2019
    • Different batching algorithm (bucketing with 5 equal-width buckets)
    • Additional dropouts before first LSTM layer in encoder and in decoder
    • Weight initialization changed to uniform (-0.1,0.1)
    • Switched order of dropout and concatenation with attention in decoder
    • Default container updated to NGC PyTorch 19.01-py3
    1. Jun 25, 2019
    • Default container updated to NGC PyTorch 19.05-py3
    • Mixed precision training implemented using APEX AMP
    • Added inference throughput and latency results on NVIDIA Tesla V100 16G
    • Added option to run inference on user-provided raw input text from command line

    Known issues

    There are no known issues in this release.

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