Composer is a PyTorch library that enables users to train neural networks faster, at lower cost, and to higher accuracy. It has implemented more than two dozen speedup methods that can be applied to the training loop with just a few lines of code, or used with the built-in Trainer. Composer also provides a built-in trainer that automatically takes care of the details of using speedup methods and provides useful abstractions that facilitate rapid experimentation. Additionally, Composer has come up with compositions of methods that work especially well together through rigorous exploration of the design space of recipes and research on the science behind composition.
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