THOR: Transformer with Stochastic Experts
This PyTorch package implements Taming Sparsely Activated Transformer with Stochastic Experts.
- The most convenient way to run the code is to use this docker image:
tartarusz/adv-train:azure-pytorch-apex-v1.7.0. The image supports running on Microsoft Azure.
- Our implementation is based on Fairseq.
- Download Fairseq (v1.0.0+) to the current directory.
pip install -e .to install the package locally.
- To run a sample translation task on IWSLT'14 De-En, first follow the instructions here to download and tokenize the data, then use
bash preprocess.shto pre-process the tokenized data.
bash run.shto train a THOR model.
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