Temporal Fusion Transformer is a state-of-the-art architecture for interpretable, multi-horizon time-series prediction.
The following section lists the requirements that you need to meet in order to start training the TFT model.
Requirements
This repository contains Dockerfile, which extends the PyTorch NGC container and encapsulates some dependencies. Aside from these dependencies, ensure you have the following components:
- NVIDIA Docker
- PyTorch 22.11 NGC container
- Supported GPUs:
- NVIDIA Volta architecture
- NVIDIA Turing architecture
- NVIDIA Ampere architecture
For more information about how to get started with NGC containers, refer to the following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning Documentation:
- Getting Started Using NVIDIA GPU Cloud
- Accessing And Pulling From The NGC Container Registry
- Running PyTorch
For those unable to use the PyTorch NGC container to set up the required environment or create your own container, refer to the versioned NVIDIA Container Support Matrix.