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Thanks Colin, I tried running the fit again with n_jobs-1 and this time it didn't crash on MultivariateMotif model on Validation 1, so that's good. However, on the GLM model...
--- after another run --- I tested once again Colin, this time without a transformer_list parameter set in the model initiation (used to be 'superfast' on 0.6.2 and changed to...
I probably can't help you with this, but if there's a way I can contribute, let me know!
Pytorch is installed in the environment as well, but I didn't explicitly set GluonTS to use that, so I suppose it's running on the default Mxnet backend. If the current...
Thanks for the quick reply! - I'm using version 0.13.5 - No, CPU only: `gluonts.mx.context:Using CPU` - I'm not sure, but I think it's the `training` model. If this is...
Sorry for the late reply. I have been doing some more testing and it appears the CPU capacity usage drops when several models from GluonTS are run, including DeepAR, WaveNet,...
Thanks for your reply Colin, first of all. I really appreciate your support! Secondly, I'm running the script directly from the command line (user terminal on Ubuntu 22.04), FYI. I...
Thanks for the advise on the virtual CPUs, I am playing with OMP_NUM_THREADS variable and n_jobs parameter settings but didn't get much better results than about 30% usage yet. It's...
Thanks again for your reply Colin. I'm using the graphs on the DO dashboard for CPU and RAM utilization analysis, but also tried using the internal Ubuntu performance metrics application....
Thanks Colin, I'm very happy to hear you're willing to take the effort to help us on this matter. Looking forward to your message after you had the opportunity to...