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Unfortunately those are not implemented in this repository, this just implements the fundamental building blocks usable from pytorch. In general you can take any existing pytorch code (e.g. OpenNMT-py) and replace softmax with fusedmax, oscarmax or sparsemax from this repository, with minor work for adapting the API (notably, passing sequence lengths if needed.)
Please add some docs about how to run the tests presented in the paper.
Thank you!
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