-
Notifications
You must be signed in to change notification settings - Fork 530
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
I can train smoothly,but when I test, there is a errror: #52
Comments
Hello, Thank you |
Is this because GPU is not enough memory? |
I'm facing a very similar problem, but in my case it happens only with the latest caffe version: syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory With the old caffe it works. I'm using cuda 9.0. |
I meet the same problem,please tell the answaer |
I am new to Caffe, and am also facing this problem. I read in another git thread (alexgkendall/caffe-segnet#57 (comment)) that calling caffe.reset_all() might help, but have no idea where to place this line of code. Secondly, this git thread also speaks about MATLAB interface of Caffe. Now in the installation instruction file of HED, it is written "Python and/or MATLAB(optional)". So that means MATLAB is optional. Accordingly, I also trained the network on my GPU which does not have MATLAB. So does this mean by any chance that this training isn't optimal, as the MATLAB interface could not be used? Also, while testing, since we are using MATLAB to create a network by the command "caffe.Net(model_name, weights)", it means MATLAB interface is compulsory for testing. But in that case it should also be compulsory for training, as we are using other commands like "caffe.set_gpu(0)". They are also for MATLAB interface. Correct me if I am wrong. I am thinking I have to re-train the network after installing MATLAB on my Ubuntu workstation. Was any of you able to solve it? @wangjiaod @rribani @tyl569 |
No description provided.
The text was updated successfully, but these errors were encountered: