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While training GluonTS model less than 10% of the CPU resources (16 cores in my test case) are used, while other models use 70%+ of the available CPU resources. Memory and Disk resources capacity are not the issue in my case, there are more than enough free resources there as well. The model is set to use n_jobs='auto'
, which seems to work fine for other models which are using the major part of the CPU capacity. Is GluonTS not configured to or capable of parallelizing tasks? Thanks for for your reply and explanation in advance.
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