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Even though the following log status shows in the resssources requested 1.96/2 GPUs which makes perfect sense and every model is taking 2 CPUs and 0.49 GPU
== Status ==
PopulationBasedTraining: 0 checkpoints, 0 perturbs
Resources requested: 8.0/20 CPUs, 1.96/2 GPUs
Memory usage on this node: 91.1/269.9 GB
Result logdir: /home/sgharbi/pba/results/test_search
Number of trials: 4 ({'RUNNING': 4})
RUNNING trials:
I wanted to test the search with the test search script. Since GPUs 0 and 1 are being used for another process, I ran this command:
CUDA_VISIBLE_DEVICES=2,3 bash scripts/test_search.sh
Even though the following log status shows in the resssources requested 1.96/2 GPUs which makes perfect sense and every model is taking 2 CPUs and 0.49 GPU
== Status ==
PopulationBasedTraining: 0 checkpoints, 0 perturbs
Resources requested: 8.0/20 CPUs, 1.96/2 GPUs
Memory usage on this node: 91.1/269.9 GB
Result logdir: /home/sgharbi/pba/results/test_search
Number of trials: 4 ({'RUNNING': 4})
RUNNING trials:
But when i look with nvidia-smi there no usage of GPUs 2 and 3!
Am I doing something wrong here please? If so, how to make it really utilize the GPUs, thank you so much!
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