Hi,
Since switching from PyTorch 0.3->0.4 my cpu usage has jumped from single-core (25% utilization) to ~100%, however the prediction/training performance has not jumped more than 5-10% in my use-case (Small dense networks without GPU, for example 3x64 units)
This is limiting my ability to run multiple processes in parallel, or do preprocessing using the other cores. Is there any way to disable this multi-cpu usage to revert it to the old behavior?
Thanks