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installation isn't working
See original GitHub issueI tried to install the package via ‘pip install torchlars’ and got an empty directory of torchlars (0.0.0)
I clone the repo and ran manually: ‘python setup.py install’. I got a compilation error:
1 error detected in the compilation of 1 error detected in the compilation of "C:/Users/echlon/AppData/Local/Temp/tmpxft_00000f94_00000000-10_adaptive_lr_cuda.cpp1.ii".
error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin\\nvcc.exe' failed with exit status 1
i have pytorch 1.2 and python 3.7 on windows.
Issue Analytics
- State:
- Created 4 years ago
- Comments:7 (4 by maintainers)
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thanks for the support guys, it now works 😃
I was able to train Resnet with batch size of ~40,000 with SGD to 76% (lr==12). I am curious to see if LARS can give an improvement in terms of accuracy/run-time
good job on the package.
I failed intalling the package as the following error message. btw, does this implementation skip ‘bn’ layer and ‘bias’ layer? as suggested here: https://github.com/pytorch/pytorch/issues/18414
RuntimeError: Error compiling objects for extension
ERROR: Failed building wheel for torchlars