使用vitis-aiDPU进行部署

I am using DPU for deployment, outputTensors = dpu.get_output_tensors() prints out the tensor result is not the tensor result after my quantisation, he prints out the result which is the result of my result without going through the transpose layer change, how should this be modified.


It results in a FIX2FLOAT layer, whereas I actually results should be in a FIX layer