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Implement GPU acceleration in RAM #29
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Related to JdeRobot/RoboticsAcademy#902. @dpascualhe is also working on refining the support of GPU acceleration from the RADI container, both on Linux user machines and on Windows user machines. |
Hi @ango1994 @jmplaza, (sorry for the ping, but do let me know if it bothers you) -after setting the codebase up locally, which files do I need to navigate into to implement the same? --Some various methods after my little walkthrough suggested usage of CUDA or pytorch! I know these doubts can sound naive, but yep these do derive from my lack of experience! |
HI @Bhardwaj-Himanshu check the RAM (Robotics Application Manager). |
Ah thanks @ango1994, now this gives me a slight of idea to atleast get on working on that! Will give it a shot and let you know! Thanks;) |
Hi @ango1994 , The highlighted lines in above codebase are from new manager.py script So,should I try to implement the steps mentioned here below- Do let me know, would be of great help. |
Enable GPU acceleration in the new Robotics Application Manager as in the old manager. DIfferent commands should be launched depending if the GPU acceleration is enabled or not. See the classic manager for more information: https://github.com/JdeRobot/RoboticsAcademy/blob/master/scripts/manager.py
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