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
Hi,
I have a consistently reproducible std::bad_alloc error when trying to load a trained model SVC().load_from_file('/path/to/model'). On Windows,
std::bad_alloc
SVC().load_from_file('/path/to/model')
File "path\to\thundersvm.py", line 473, in load_from_file thundersvm.get_sv(csr_row, csr_col, csr_data, data_size, c_void_p(self.model)) OSError: exception: access violation reading 0x00000000000000AB
And on Linux,
terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc Aborted (core dumped)
On both Windows and Linux, I built the code from your master branch with CUDA 10.0.
master
Attached is the model file that causes the error. SVC.zip
The text was updated successfully, but these errors were encountered:
fix bug load_from_file #148
fab6844
Hi @yuxhuang
Thanks for your feedback. We have fixed this bug. You can update the library and try again.
Sorry, something went wrong.
@GODqinbin thanks, it works fine now. Much appreciated.
No branches or pull requests
Hi,
I have a consistently reproducible
std::bad_alloc
error when trying to load a trained modelSVC().load_from_file('/path/to/model')
. On Windows,And on Linux,
On both Windows and Linux, I built the code from your
master
branch with CUDA 10.0.Attached is the model file that causes the error.
SVC.zip
The text was updated successfully, but these errors were encountered: