Skip to content
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

Jump to bottom

Smoothness weight was larger than GCO_MAX_ENERGYTERM; danger of integer overflow. #11

Closed
Leelinw opened this issue Jun 25, 2024 · 0 comments
Closed

Smoothness weight was larger than GCO_MAX_ENERGYTERM; danger of integer overflow. #11

Leelinw opened this issue Jun 25, 2024 · 0 comments

Comments

@Leelinw
Copy link

Leelinw commented Jun 25, 2024 

   Hello, I used my own dataset with the format .nii.gz, then I ran run.sh. But when training to "Epoch: [0]  [  130/51999]  eta: 14:47:55  lr: 0.000100  loss: 1.3704 (1.4059)  loss_CrossEntropy: 1.3704 (1.4059)  time: 1.0271  data: 0.0065  max mem: 17015", it stopped and "Smoothness weight was larger than GCO_MAX_ENERGYTERM; danger of integer overflow."  came out.
   The dataset used to be .svs files, is there anything wrong when I converted the format?

question
@Leelinw Leelinw closed this as completed Jul 9, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@Leelinw