I need to train a quantized model which has 0 offset due to limitations of my inference framework.
I’m following the flow described in https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html 1
So the model is prepared with prepare_qat which adds FakeQuantize  layers
The problem is that both scale and zero_point are being trained. I need the zero_point to be fixed at 0.