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Marllib seems never uses gpu devices #203
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Hi, it's so glad to hear your reply. Please check your configurations to make sure you have utilized the GPU. |
I have the same issue, I'm using the following code to kick off a job. No GPU utilization increase seen, and mostly only 1 CPU is used at 100%, others stay idle
E.g. top output
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I have same problem and understand the problem. You should use this config: |
When I use marrlib to train a model on my custom env, it always shows "(0.0/1.0 accelerator_type:V100S)". I have checked all the possible configs to use GPU devices. Both pytorch and tensorflow can detect all the GPUs on my computer.
However, when I use the example provided by Marllib to train a model on mpe env, it provides the same info. So do you have any idea how to solve this problem?
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