Summary

In this chapter, we introduced the details of the ONNX format, a popular representation for DL models. We examined how it depicts the intermediate representation and operators. We then looked at support for ONNX in Caffe2. Using AlexNet as the example, we looked at how to convert a Caffe2 model file to ONNX format. We also looked at the reverse process: importing an ONNX model file into Caffe2, and then using it for inference. Finally, we looked at a useful tool to visualize the graph representation of an ONNX file.