Hi @Eta_C,
Please look at the flow of operation for quantization here: https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html#post-training-static-quantization 86
The main steps for post training quantization are: 1) fusing of modules (e.g., conv; bn; relu => conv_bn_relu) 2) Observing tensor values to quantize tensors 3) Actual replacing of modules from float to quantized.