prepare_qat# class torch.ao.quantization.prepare_qat(model, mapping=None, inplace=False)[source]# Prepares a copy of the model for quantization calibration or quantization-aware training and converts it to quantized version. Quantization configuration should be assigned preemptively to individual submodules in .qconfig attribute. Parameters model – input model to be modified in-place mapping – dictionary that maps float modules to quantized modules to be replaced. inplace – carry out model transformations in-place, the original module is mutated
