Abstract: Quantization is an important technique to transform the input sample values from a large set (or a continuous range) into the output sample values in a small set (or a finite set). It has ...
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 ...
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