Microsoft ONNX Runtime - 1.4.1 English

Vitis AI User Guide (UG1414)

Document ID
Release Date
1.4.1 English

Microsoft ONNX Runtime 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 the 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 ONNX Runtime, see

Vitis AI provides tutorials and installation guides on Vitis AI and ONNXRuntime integration on the Vitis AI GitHub repository: