Vitis™ AI is a Xilinx® development kit for AI inference on Xilinx hardware platforms. Inference in machine learning is computation-intensive and requires high memory bandwidth to meet the low-latency and high-throughput requirements of various applications.
Vitis AI optimizer provides the ability to optimize neural network models. Currently Vitis AI optimizer includes only one tool called pruner. Vitis AI pruner (VAI pruner) prunes redundant connections in neural networks and reduces the overall required operations. The pruned models produced by VAI pruner can be further quantized by VAI quantizer and deployed to FPGA. For more information on VAI quantizer and deployment, see the Vitis AI User Guide in the Vitis AI User Documentation (UG1431).
VAI pruner now support 3 deep learning frameworks: TensorFlow, Caffe and Darknet, and the corresponding binary names are vai_p_tensorflow, vai_p_caffe and vai_p_darknet. We are going to support Pytorch soon.