Is there something specific about numpy here, or would it be any RNG?
I'm looking at some code that uses random.random() to randomly apply augmentations, I suspect that will have the same issue right?
I'm looking at some code that uses random.random() to randomly apply augmentations, I suspect that will have the same issue right?
For splitting up sequential ranges, a good rng typically has an advance function to advance the seed for each range. So you can get reproducibility.