How are qparams (scale and zero_point) determined after fusing Conv and BN layers?

[gef1998]

During quantization (using pytorch_quantization), the qparams (scale and zero_point) of old Conv is computed using Calibrator. However, when the Conv and Batch Normalization (BN) layers are fused, the weights and biases of the fused Conv change. In this case, the original qparams may not be applicable anymore. Could you please explain how to correctly determine the new qparams (scale and zero_point) after this fusion?