The Sparsely Gated Mixture of Experts Layer for PyTorch

This repository contains the PyTorch re-implementation of the MoE layer described in the paper Outrageously Large Neural Networks for PyTorch.

Requirements

This example was tested using torch v1.0.0 and Python v3.6.1 on CPU.

To install the requirements run:

pip install -r requirements.py

Example

The file example.py contains an example illustrating how to train and evaluate the MoE layer with dummy inputs and targets. To run the example:

python example.py

Acknowledgements

The code is based on the TensorFlow implementation that can be found here.