2019年6月20日(木) 8:16 Mauricio Reis <rei...@ime.eb.br>: > But documentation (provided by a teacher in charge of the Cray computer) > shows: > - each node: 1 CPU, 1 GPU, 32 GBytes >
If that's true, then it appears to me that running on any individual compute host (node) has 1-core / 2-threads, and that would be why you wouldn't get any more performance after n_jobs=2. For n_jobs=3/4/..., you're just asking the same amount of compute hardware to do the same calculations. As instructed, you'll need to execute joblib.cpu_count() to resolve your host environment.
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
