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Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

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I meet this when compile the python setup.py install in cuda file.... Any help will be highly appreciated!!! (new_env) C:\Users\20247\Downloads\pytorch-parallel-master\pytorch-parallel-master\cuda>python setup.py install running install running bdist_egg running egg_info writing sigmoid_cuda_linear_cpp.egg-info\PKG-INFO...

D:\software\ANACONDA\envs\tensorized\lib\site-packages\torch\utils\cpp_extension.py:316: UserWarning: Error checking compiler version for cl: [WinError 2] 系统找不到指定的文件。 warnings.warn(f'Error checking compiler version for {compiler}: {error}') building 'linear_cpp' extension error: Microsoft Visual C++ 14.0 or greater is required....

when I run 'python distributed.py -m py' as in readme, there was an error: AttributeError: 'int' object has no attribute 'allreduce' So how should I solve this error? Please!

I use the python script to call CUDA codes. Could you provide any suggestions for debugging CUDA codes?

enhancement