To support int8 model deployment on mobile devices,we provide the universal post training quantization tools which can convert the float32 model to int8 model. mean and norm are the values you passed ...
Abstract: This paper investigates an autoencoder-based quantize–forward (QF) relay system that includes a source, a destination, and a relay, each equipped with multiple antennas. The existing phase ...
Quantization requires a large amount of CPU memory. However, the memory required can be reduced by using swap memory. Depending on the GPUs/drivers, there may be a difference in performance, which ...