DGL Container Early Access

Deep Graph Library (DGL) is a framework-neutral, easy-to-use, and scalable Python library used for implementing and training Graph Neural Networks (GNN). Being framework-neutral, DGL is easily integrated into an existing PyTorch, TensorFlow, or an Apache MXNet workflow.

nvda-and-dgl-acceleration.jpg

To enable developers to quickly take advantage of GNNs, we have partnered with the DGL team to provide a containerized solution that includes DGL, the latest PyTorch, and a set of tested dependencies. Our early release includes two containers, a ready-to-use DGL container, and an accelerated neural network training environment based on DGL, SE(3)-Transformer, and PyTorch and suited for recognizing 3-dimensional shapes. This is useful for segmenting LIDAR point clouds or in pharmaceutical and drug discovery research, for example. Apply for early access to our DGL container or the SE(3)-Transformer for DGL container.