Comments (3)
i try to ignore the concat amax fusion process and success to get onnx partrial_quant model, but it can not convert to tensorrt model,
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i also want know how to remove the qdq node and get a cache file ,in onnx_utils.py just through"node.output[0] == node_name" so how it works ? "hi, directly build quantized model 'yolov6s_reopt_partial_bs1.sim.onnx' could not achieve the best performance. Please refer this function (https://github.com/meituan/YOLOv6/blob/main/tools/qat/onnx_utils.py) to get a normal float onnx model without QDQ nodes and its calibration file. Then you could build the TRT models with command: trtexec --workspace=1024 --percentile=99 --streams=1 --int8 --fp16 --avgRuns=10 --onnx=yolov6s_reopt_partial_bs1_remove_qdq.onnx --calib=yolov6s_reopt_partial_bs1_remove_qdq_calibration.cache --saveEngine=yolov6s_reopt_partial_bs1.sim.trt."
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