I am new to pytorch quantization, confused with two points 
1、pytorch two quantization ways: qat and ptq. Are they use the same operations in framework during inference phase when deploy on mobile device? will they have the same performance?
2、Why activations are quantized to uint8 meanwhile weights quantized to int8. Because int8 weights doesn’t need to subtract the zero-point?