WangGangUCAS
WangGangUCAS
how to solve the problem?
> The Quantization simulation required for QAT is done in Pytorch code. This may be the reason for slowness. > It will be faster if it is done in the...
As you said, I modified my quant-train code. My task is Object Detection， I use the model(int8) before quant-train， the AP is 88.26%，but I use the model(int8) after quant-train，the AP...
1、I don't calculate the accuracy with QAT in the PyTorch code during validation. 2、when I set calibrationOption = 7 in the TIDL import config, the AP is 86.43%(8-bit quantization, original...
Thank you very much. I will check carefully and make sure.
I have checked my model structure carefully. The AP is still low compared with floating point result. Have you used centernet to do object detection? My backbone is resnet18, neck...
Thank you, I will try the SSD.
> @Stridecdg We train the model for scratch, so there is no pre-training model Do you have a trained model? dla34 backbone
Why not use DDP？