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Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss
Based on the model's resilience to computational noise, model quantization is important for compressing models and improving computing speed.
Quantization in Layer's Input is Matter
In this paper, we will show that the quantization in layer's input is more important than parameters' quantization for loss function.
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