When I use neuralprophet=0.9 and python=3.10 to predict, the following code raises an error CUDA error: out of memory.
m = neuralprophet()
m.fit(df, freq='D')
However, when I change the code as
m = neuralprophet(train_config={'accelerator0: 'cpu''})
m.fit(df, freq='D')
There is raised another error Failed to fit model, Weights_only load failed. unsupported global: GLOBAL neuralprophet.configure.ConfigSeasonality was not an allowed global by default
When I use neuralprophet=0.9 and python=3.10 to predict, the following code raises an error
CUDA error: out of memory.m = neuralprophet()m.fit(df, freq='D')However, when I change the code as
m = neuralprophet(train_config={'accelerator0: 'cpu''})m.fit(df, freq='D')There is raised another error
Failed to fit model, Weights_only load failed. unsupported global: GLOBAL neuralprophet.configure.ConfigSeasonality was not an allowed global by default