Closed TrinhTuanHung2021 closed 1 year ago
== Status ==
Current time: 2022-08-24 15:01:03 (running for 04:32:04.10)
Memory usage on this node: 30.9/33.4 GiB: LOW MEMORY less than 10% of the memory on this node is available for use. This can cause unexpected crashes. Consider reducing the memory used by your application or reducing the Ray object store size by setting object_store_memory
when calling ray.init
.
Using FIFO scheduling algorithm.
Resources requested: 2.0/16 CPUs, 0/0 GPUs, 0.0/18.59 GiB heap, 0.0/9.3 GiB objects
Result logdir: /home/osboxes/ray_results/ES-updated
Number of trials: 1/1 (1 RUNNING)
I add ray.init(object_store_memory=200**9)
in rllib.py
to limit the object store to use 20GB
Thanks for the information @TrinhTuanHung2021 !
Do you feel comfortable making a pull request with both the requirements update as well object store update? I will merge it into the main code if so
Hello
I only run your models with python==3.8 and ray==1.11.0 Please update them in
requirements.txt
After 1 day of training, my computer was out of memory with ray so I coud not have final resutls The configurations of my PC: i9, ram=32gb