Hi,
No the random seeds can be anything in pytorch. It will just change where the RNG starts.
It is possible that some network training is not very stable and will work for one random seed but not the other.
Also you might want to check the notes on reproducibility in the doc here 7 to see if runs with the same seed will give the same result.