We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
While training an autoencoder for mnist that uses optim.lbfgs, my program crashes at line 215 of polyinterp.lua with the error
bad argument #2 to '?' (too many indices provided at ~/torch/pkg/torch/generic/Tensor.c:894)
On inspection, I found that the cp variable is a one-dimensional tensor, but the program expects it to be two dimensional.
The text was updated successfully, but these errors were encountered:
No branches or pull requests
While training an autoencoder for mnist that uses optim.lbfgs, my program crashes at line 215 of polyinterp.lua with the error
bad argument #2 to '?' (too many indices provided at ~/torch/pkg/torch/generic/Tensor.c:894)
On inspection, I found that the cp variable is a one-dimensional tensor, but the program expects it to be two dimensional.
The text was updated successfully, but these errors were encountered: