Vitis AI Optimizer Overview - 1.4.1 English

Vitis AI Optimizer User Guide (UG1333)

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1.4.1 English

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 an FPGA. For more information on VAI quantizer and deployment, see the Vitis AI User Guide in the Vitis AI User Documentation (UG1431).

Figure 1. VAI Optimizer

The VAI pruner supports four deep learning frameworks: TensorFlow, PyTorch, Caffe, and Darknet. The corresponding tool names are vai_p_tensorflow, vai_p_pytorch, vai_p_caffe, and vai_p_darknet, where the "p" in the middle stands for pruning.

Vitis AI Optimizer requires a commercial license to run. Contact to access the Vitis AI Optimizer installation package and license.