Deploying an externally QAT-trained ONNX Q/DQ model on Hailo-8

Hi everyone, I would like to deploy a quantization-aware-trained model on Hailo-8 using DFC 3.34.0 . I’m trying to understand whether the quantization established during training can be preserved, and what deployment workflow Hailo recommends. Training Setup My TensorFlow/Keras 3 training setup supports QAT using TensorFlow’s fake-quantization operations: Training maintains floating-point weights while simulating 8-bit quantization during the forward pass, with straight-through gradient estimation.