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Faster PyTorch Training by Reducing Peak Memory (combining backward pass + optimizer step)
June 21, 2023, 2 p.m. | Lightning.ai
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Before After The curse of OOM One of the main challenges in training multi-billion parameter models is dealing with limited GPU memory while training. In fact, getting out-of-memory (OOM) errors is arguably one of the bummers of every practitioner. During training, there are several sets of tensor data to keep in memory, which include: model... Read more »
The post Faster PyTorch Training by Reducing Peak Memory (combining backward pass + optimizer step) appeared first on Lightning AI.
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