Microsoft ONNXRuntime - 1.2 English

Vitis AI User Guide (UG1414)

Document ID
UG1414
Release Date
2020-07-21
Version
1.2 English

Microsoft ONNXRuntime is an open source inference accelerator focused on ONNX models. It is the platform Vitis AI has integrated with to provide first-class ONNX model support which can be exported from a wide variety of training frameworks. It incorporates very easy to use runtime APIs in Python and C++ and can support models without requiring the separate compilation phase that TVM requires. Included in ONNXRuntime is a partitioner that can automatically partition between the CPU and FPGA further enhancing ease of model deployment. Finally, it also incorporates the Vitis AI quantizer in a way that does not require separate quantization setup.

To read more about Microsoft ONNXRuntime, see https://microsoft.github.io/onnxruntime/.

Vitis AI provides tutorials and installation guides on Vitis AI and ONNXRuntime integration on the Vitis AI github repo -

https://github.com/Xilinx/Vitis-AI/tree/master/onnxruntime.