You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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
The text was updated successfully, but these errors were encountered:
Uh oh!
There was an error while loading. Please reload this page.
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
The text was updated successfully, but these errors were encountered: