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pytorch.org
| | research.google
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| | Posted by Yuanzhong Xu and Yanping Huang, Software Engineers; Google Research, Brain Team Scaling neural networks, whether it be the amount of trai...
| | dev-discuss.pytorch.org
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| | TL;DR: Previously, torchdynamo interrupted compute-communication overlap in DDP to a sufficient degree that DDP training with dynamo was up to 25% slower than DDP training with eager. We modified dynamo to add additional...
| | siboehm.com
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| | In this post, I want to have a look at a common technique for distributing model training: data parallelism.It allows you to train your model faster by repli...
| | www.hamza.se
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| A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward.