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Training DQN in atari env will occupy 9-10 threads, is it a normal phenomenon? (Platform: Nvidia Titan XP + Xeon E5-2630 v4)
The text was updated successfully, but these errors were encountered:
Hello, this is normal, PyTorch is using threads to parallelize matrix computation. You can change that using:
th.set_num_threads()
th.set_num_interop_threads()
export OMP_NUM_THREADS=1
Sorry, something went wrong.
Hello, this is normal, PyTorch is using threads to parallelize matrix computation. You can change that using: th.set_num_threads() see doc (and optionally th.set_num_interop_threads()) export OMP_NUM_THREADS=1 (to set OpenMP threads to 1)
Thank you very much!
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Training DQN in atari env will occupy 9-10 threads, is it a normal phenomenon?
(Platform: Nvidia Titan XP + Xeon E5-2630 v4)
The text was updated successfully, but these errors were encountered: