Posts by Tres Popp

DGL in Depth: SE(3)-Transformer on ROCm 7

In this post, we demonstrate how to run the SE(3)-Transformer efficiently with Deep Graph Library (DGL) on AMD ROCm, enabling high-performance 3D graph learning for complex geometric models. This builds on our previous blog, which highlighted DGL’s versatility across diverse graph neural network (GNN) workloads, validating functionality, compatibility, and usability.

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