-
Notifications
You must be signed in to change notification settings - Fork 199
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.
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
Mini-batch train #9
Comments
Hi,
You're right, some of the algorithms have this functionality, others
haven't. I should look into this.
Best,
Diviyan
…On Fri, Aug 3, 2018, 00:28 thongnnguyen ***@***.***> wrote:
Hi,
I would like suggest to implement mini-batch training. Specifically, I
tried to run FSGNN on my data and got the following error
not enough memory: you tried to allocate 160465GB. Buy new RAM! at /opt/conda/conda-bld/pytorch_1524584710464/work/aten/src/TH/THGeneral.c:218
I looked into the code but unfortunately I'm not familiar with GAN to
modify the code.
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<https://github.com/Diviyan-Kalainathan/CausalDiscoveryToolbox/issues/9>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/ATuWdD1TTPtrFfA1czHtjmO9tZxdmmMSks5uM0vtgaJpZM4Vs1PE>
.
|
I'm sorry that it took so long, but it should be done. It revealed itself to be trickier than expected. Now instead of feeding raw data as a numpy array or Tensor, you can feed torch.utils.data.Dataset types, with a custom loading function of elements that you write accordingly to your data. |
I will be closing this issue, as it should be solved. Don't hesitate to reopen it if the bug still persists in the latest version. |
Hi,
I would like suggest to implement mini-batch training. Specifically, I tried to run
FSGNN
on my data and got the following errorI looked into the code but unfortunately I'm not familiar with GAN to modify the code.
The text was updated successfully, but these errors were encountered: