TensorFlow Lite - 2.0 English

Vitis AI User Guide (UG1414)

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2.0 English

TensorFlow Lite (TFLite) is an open source inference accelerator focused on TensorFlow Lite models. It is the platform Vitis AI has integrated with to provide first-class TFLite model support, which can be exported from TensorFlow. It incorporates a 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 TensorFlow Lite 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 TensorFlow Lite, see https://tensorflow.org/lite.

Vitis AI provides tutorials and installation guides on Vitis AI and TensorFlow Lite integration on the GitHub repository: https://github.com/Xilinx/Vitis-AI/tree/master/external/tflite.