Moreover, ONNX also supports model optimization and quantization techniques ... ONNX primarily focuses on static computational graphs, which means that models with dynamic structures, such as ...

Generation of an ONNX model file also can be awkward in some frameworks because it relies on a rigid definition of the order of operations in a graph structure. For example, PyTorch boasts a very ...

This means developers can deploy BERT at scale using ONNX Runtime ... the BERT model is mainly composed of stacked transformer cells, we optimize each cell by fusing key sub-graphs of multiple ...

Microsoft introduced a new feature for the open source ONNX Runtime machine learning model accelerator for running JavaScript ... leveraging hardware accelerators where applicable, alongside graph ...