Delving into ONNX format

ONNX format is a special file format used to share neural network architectures and parameters between different frameworks. It is based on the Google Protobuf format and library. The reason why this format exists is to test and run the same neural network model in different environments and on different devices. Usually, researchers use a programming framework that they know how to use in order to develop a model, and then run this model in a different environment for production purposes or if they want to share their model with other researchers or developers. This format is supported by all leading frameworks, such as PyTorch, TensorFlow, MXNet, and others. But now, there is a lack of support for this format from the C++ API of these frameworks and at the time of writing, they only have a Python interface for dealing with ONNX format. Some time ago...