Hi, i tried the tutorial of QAT 11 , and saved the parameters as .pt files.
The qat_model has modules like features.0.0:
(0): ConvBNReLU(
  (0): QuantizedConvReLU2d(3, 32, kernel_size=(3, 3), stride=(2, 2), 
scale=0.027574609965085983, zero_point=0, padding=(1, 1))
  (1): Identity()
  (2): Identity()
)

when saving the params of this layer, i get these files:
features.0.0.bias.pt
features.0.0.scale.pt
features.0.0.weight.pt

but i noticed that weight.pt is a quantized tensor, weight.pt has its own scale(what is not equal to
0.027574609965085983) and zero_point,

SO WHO can tell me what are the bias.pt (or as you see, in features.0.0:  zero_point=0) and scale.pt (or as you see, in features.0.0: scale=0.027574609965085983) meaning?
AND is that bias didn’t be quantized?