I read this on the Pytorch website (Introduction to Quantization on PyTorch | PyTorch 2):
“However, quantization aware training occurs in full floating point and can run on either GPU or CPU. Quantization aware training is typically only used in CNN models when post training static or dynamic quantization doesn’t yield sufficient accuracy.”
Would this not be possible?