Skip to content

Change coefs definition for SINDy when using torch #21

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 21, 2024
Merged

Change coefs definition for SINDy when using torch #21

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions src/lasdi/latent_dynamics/sindy.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ def calibrate(self, Z, dt, compute_loss=True, numpy=False):
if (numpy):
coefs = np.zeros([n_train, self.ncoefs])
else:
coefs = torch.Tensor([n_train, self.ncoefs])
coefs = torch.zeros([n_train, self.ncoefs])
loss_sindy, loss_coef = 0.0, 0.0

for i in range(n_train):
Expand Down Expand Up @@ -120,4 +120,4 @@ def export(self):
param_dict = super().export()
param_dict['fd_type'] = self.fd_type
param_dict['coef_norm_order'] = self.coef_norm_order
return param_dict
return param_dict
Loading