The load of the main process is too large. Is there any solution?

[jaried]

• I have marked all applicable categories:
• I have visited the source website
• I have searched through the issue tracker for duplicates
• I have mentioned version numbers, operating system and environment, where applicable:

  import tianshou, gym, torch, numpy, sys
  print(tianshou.__version__, gym.__version__, torch.__version__, numpy.__version__, sys.version, sys.platform)
  0.4.9 0.25.0 1.11.0+cu113 1.20.3 3.9.7 (default, Sep 16 2021, 16:59:28) [MSC v.1916 64 bit (AMD64)] win32

  When I use tianshou multi-environment concurrently, due to the high cpu occupancy rate of the main program, the multi-core of the CPU is not fully utilized. Is there any solution?

[Trinkle23897]

It's more or less because of python subprocess and GIL. If your environment is written in Python, unfortunately, for a single-machine case there's no solution IMHO.

[jaried]

Is it possible to avoid this problem by writing in C++ and using envpool?

[Trinkle23897]

I think so.

[jaried]

Thanks for your answer.