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pytorch.org | ||
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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... | |
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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... | |
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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... | |
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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. | ||