I’m general, most Deep Learning processes these days are non-deterministic because 1) they only care about statistical correctness 2) there are some speed advantages in ignoring the existence of race condition bugs if you don’t care about being deterministic
Ah! That makes sense. Thank you for the info.
It starts with noise, so you get a different result every time.