Single model vs multiple model shows different Accuracy

1

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.

Thanks

2

How reproducible is this behavior, i.e. are you always seeing this issue using e.g. 10 different runs with different seeds?