Hi Guys,
I’m currently executing several kinds of models at the same time as multiple processes.
and I’m using same Imagenet 1k dataset which inside of my data folder.
the problem is when I do validate the single(mobilenetv2) model and when I do validate with multiple(mobiletv2 + other dnns)models, the accuracy shows slightly different.
I think multiple dataloader looking at the same data folder might be the problem but not sure it is.
Do you know what makes this problem?
I use PyTorch 1.4.0 on NVIDIA Jetson Xavier
I got the data sets and dataloader code from the below page
one thing different is that i set num_worker as a 0.

  
      pytorch.org
  
  
    

(beta) Static Quantization with Eager Mode in PyTorch — PyTorch Tutorials...



  
  
    
    
  
  


Thanks