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NVIDIA Deep Learning Examples
Temporal Fusion Transformer for PyTorch
Resource
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
Temporal Fusion Transformer for PyTorch

Temporal Fusion Transformer is a state-of-the-art architecture for interpretable, multi-horizon time-series prediction.

The performance measurements in this document were conducted at the time of publication and may not reflect the performance achieved from NVIDIA's latest software release. For the most up-to-date performance measurements, go to https://developer.nvidia.com/deep-learning-performance-training-inference.

Changelog

March 2023

  • 23.01 Container Update
  • Switch from NVIDIA Apex AMP and NVIDIA Apex FusedLayerNorm to Native PyTorch AMP and Native PyTorch LayerNorm
  • Acceleration using NvFuser

February 2022

  • 21.12 Container Update
  • Triton Inference Performance Numbers

November 2021

  • Initial release

Known issues

There are no known issues with this model.