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cs.LG2022
Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss
Daning Cheng, Wenguang Chen
Based on the model's resilience to computational noise, model quantization is important for compressing models and improving computing speed. Existing quantization techniques rely…
cs.LG2022
Quantization in Layer's Input is Matter
Daning Cheng, WenGuang Chen
In this paper, we will show that the quantization in layer's input is more important than parameters' quantization for loss function. And the algorithm which is based on the layer'…