Why do the weights need to be dequantized after one quantization?

[lotusdaddy]

   new_quant_x = linear_quantize(x, scale, zero_point, inplace=False)
    n = 2**(k - 1)
    new_quant_x = torch.clamp(new_quant_x, -n, n - 1)
    quant_x = linear_dequantize(new_quant_x,
                                scale,
                                zero_point,
                                inplace=False)

Doesn't this get the weight of the floating point number?

[Minato-Zackie]

From my point of view, most of the quantization papers, the code is using fake quantization operation to simulate quantization. So it's still using floating-point numbers for quantization.