Abstract: Post-training neural network quantization (PTQ) is an effective model compression technology that has revolutionized the deployment of deep neural networks on various edge devices. It ...
This is a example to quantize onnx. The input is onnx of float. Quantization is done using onnxruntime. The output is onnx of int8. The default is to quantize using only 2 images, which is less ...
Abstract: Although analog semantic communication systems have received considerable attention in the literature, there is less work on digital semantic communication systems. In this letter, we ...
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