So a lot of Glow’s focus is on computational graphs, we use a Node-based Graph representation as our high level IR, and that is what we focus much of our optimizations on (GraphOptimizer.cpp). In OperatorTest.cpp you can find many such graphs that we build and run – they haven’t been trained on real models, it’s more for unit test and general functionality. For real models, we have e.g. many CV examples that are run through the image-classifier tool. For many of these you can take the Function in the code and run e.g. function->dumpDAG("graph.dot"), and then use that dot file 1 to visualize the graph. Hope this helps.