Microsoft ONNXRuntime - 1.4 English

Vitis AI User Guide (UG1414)

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1.4 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

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