1. Convert
The ONNX format enables you to leverage ONNX Runtime with DirectML, which provides cross-hardware capabilities.
To convert your model to the ONNX format, you can utilize
ONNXMLTools
or
Olive
.
3. Integrate
When your model is ready, it's time to bring hardware-accelerated inferencing to your app with ONNX Runtime and DirectML.
We built some samples to show how you can use DirectML and the ONNX Runtime in Python and C#:
Python
DirectML API
Even though DirectML can be accessed via other frameworks such as the ONNX Runtime, DirectML can also be accessed directly by developers familiar with C++.
It has a familiar (native C++, nano-COM) programming interface and workflow in the style of DirectX 12.
We recommend that developers start by looking at our
Introduction to DirectML
and our
DirectML overview
.
