Skip to content

bugfix non existing latent state when fo=1 #2368

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

Open
kctezcan wants to merge 1 commit into
base: jk/develop/diffusion-full-pipeline
Choose a base branch
from
Open

bugfix non existing latent state when fo=1 #2368

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
3 changes: 2 additions & 1 deletion src/weathergen/train/loss_modules/loss_module_latent_diffusion.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -94,8 +94,9 @@ def compute_loss(self, preds: dict, targets: dict, **kwargs) -> LossValues:
for _, _, loss_fct_name in self.loss_fcts
}

pred_tokens_all = [pl["latent_state"].z_pre_norm for pl in preds.latent if pl]
pred_tokens_all = [pl["latent_state"].z_pre_norm for pl in preds.latent if ("latent_state" in pl)]
target_tokens_all = [latent["diffusion_latent"] for latent in targets.latent if latent]
assert len(pred_tokens_all) == len(target_tokens_all), "Mismatch between predicted and target token lengths"

eta = torch.tensor(
[targets.aux_outputs["noise_level_rn"]], device=self.device, dtype=torch.float32
Expand Down
Loading