Hi, when I run training episodes by executing this script:
“python3 dqn_train.py dqn_example/dqn_config.yaml --name dqn --overwrite”
and using
Ray version: 1.1.0
Machine: intel core i7, GEFORCE RTX, 16 G RAM
OS: Ubuntu 20.04
I’m getting the below memory error. How can I fix it?
ray.memory_monitor.RayOutOfMemoryError: More than 95% of the memory on node yesmina-HP-Pavilion-Gaming-Laptop-16-a0xxx is used (14.78 / 15.41 GB). The top 10 memory consumers are:
PID MEM COMMAND
76444 5.42GiB ray::CustomDQNTrainer.train()
76449 2.57GiB ray::RolloutWorker
76675 1.52GiB /home/yesmina/CARLA_0.9.11/CarlaUE4/Binaries/Linux/CarlaUE4-Linux-Shipping CarlaUE4 -OpenGL -windowe
76283 1.42GiB /home/yesmina/CARLA_0.9.11/CarlaUE4/Binaries/Linux/CarlaUE4-Linux-Shipping CarlaUE4 -OpenGL
78287 0.25GiB /opt/google/chrome/chrome --type=renderer --field-trial-handle=8221191988494462348,12935930956483335
43045 0.16GiB /opt/google/chrome/chrome --type=gpu-process --field-trial-handle=8221191988494462348,12935930956483
2285 0.16GiB /usr/share/teams/teams --type=renderer --autoplay-policy=no-user-gesture-required --disable-backgrou
76358 0.14GiB python3 dqn_train.py dqn_example/dqn_config.yaml --name dqn --overwrite
5905 0.13GiB /opt/google/chrome/chrome
29591 0.13GiB /opt/google/chrome/chrome --type=renderer --field-trial-handle=8221191988494462348,12935930956483335