In the configuration management library Hydra, it is possible to only partially instantiate classes defined in configuration using the _partial_ keyword. The library explains that this results in a functools.partial. I wonder how this interacts with seeding. E.g. with pytorch torch.manual_seed() lightnings seed_everything etc. My reasoning is, that if I use the _partial_ keyword while specifying all parameters for __init__, then I would essentially obtain a factory which could be called after specifying the seed to do multiple runs. But this assumes that _partial_ does not bake the seed in already. To my understanding that should not be the case. Is that correct? Continue reading...
