Automatic mixed precision in PyTorch using AMD GPUs — ROCm Blogs

[giscus[bot]]

Automatic mixed precision in PyTorch using AMD GPUs — ROCm Blogs

In this blog, we will discuss the basics of AMP, how it works, and how it can improve training efficiency on AMD GPUs. As models increase in size, the time and memory needed to train them--and consequently, the cost--also increases. Therefore, any measures we take to reduce training time and memory usage can be highly beneficial. This is where Automatic Mixed Precision (AMP) comes in.

https://rocm.blogs.amd.com/artificial-intelligence/automatic-mixed-precision/README.html

[williams-henry]

Really useful explanation of how Automatic Mixed Precision can improve training speed and memory efficiency without requiring major code changes. The torch.autocast example makes the concept especially easy to understand. I’ve also been exploring how better technology can improve digital content experiences through BeeTVHub.com.