Parallelizing pytorch models

There are multiple ways of utilizing parallel processing power for pytorch. In this workshop we’ll look at to common ways of doing this. We will go through pytorch’s built in DistributedDataParallel framework and how we can adapt an existing model too it.

Prerequisites

Familiarity with pytorch and experience with implementing neural networks is assumed.

Background

Credits

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Instructional Material

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Software

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