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NVIDIA
Transformer for PyTorch
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NVIDIA
NVIDIA
Transformer for PyTorch

This implementation of Transformer model architecture is based on the optimized implementation in Fairseq NLP toolkit.

Changelog

June 2020

  • add TorchScript support
  • Ampere support

March 2020

  • remove language modeling from the repository
  • one inference script for large chunks of data as well as for interactive demo
  • change custom distributed strategy to APEX's DDP
  • replace custom fp16 training with AMP
  • major refactoring of the codebase

December 2019

  • Change evaluation metric

August 2019

  • add basic AMP support

July 2019

  • Replace custom fused operators with jit functions

June 2019

  • New README

March 2019

  • Add mid-training SacreBLEU evaluation. Better handling of OOMs.

Initial commit, forked from fairseq

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